The digital-intelligent era presents both opportunities and challenges for specialized course education in universities.Based on the fundamental task of fostering virtue through education,this study takes the course“...The digital-intelligent era presents both opportunities and challenges for specialized course education in universities.Based on the fundamental task of fostering virtue through education,this study takes the course“Design and Guidance of Science Play Performance Activities”as an example to explore practical pathways for integrating ideological and political education into specialized courses within a digital-intelligent context.Employing literature review and action research methodologies,the study constructs a digital-intelligent teaching model,develops digital ideological and political resources,innovates teaching methods,and systematically identifies and deeply integrates ideological and political elements into the curriculum.Through practical validation,the research summarizes a curriculum design framework grounded in Tyler’s principles and a digital-intelligent teaching model based on BOPPPS,providing transferable pathways for ideological and political education in specialized courses.Furthermore,it offers theoretical support and practical references for the deep integration and innovative application of digital-intelligent technologies in education.展开更多
The rapid growth of biomedical data,particularly multi-omics data including genomes,transcriptomics,proteomics,metabolomics,and epigenomics,medical research and clinical decision-making confront both new opportunities...The rapid growth of biomedical data,particularly multi-omics data including genomes,transcriptomics,proteomics,metabolomics,and epigenomics,medical research and clinical decision-making confront both new opportunities and obstacles.The huge and diversified nature of these datasets cannot always be managed using traditional data analysis methods.As a consequence,deep learning has emerged as a strong tool for analysing numerous omics data due to its ability to handle complex and non-linear relationships.This paper explores the fundamental concepts of deep learning and how they are used in multi-omics medical data mining.We demonstrate how autoencoders,variational autoencoders,multimodal models,attention mechanisms,transformers,and graph neural networks enable pattern analysis and recognition across all omics data.Deep learning has been found to be effective in illness classification,biomarker identification,gene network learning,and therapeutic efficacy prediction.We also consider critical problems like as data quality,model explainability,whether findings can be repeated,and computational power requirements.We now consider future elements of combining omics with clinical and imaging data,explainable AI,federated learning,and real-time diagnostics.Overall,this study emphasises the need of collaborating across disciplines to advance deep learning-based multi-omics research for precision medicine and comprehending complicated disorders.展开更多
The inverse slope method (ISM) was used to interpret electric sounding data to determine the geoelectric parameters of the alteration zones (continuous media) and rocky environments (discontinuous environments) of the...The inverse slope method (ISM) was used to interpret electric sounding data to determine the geoelectric parameters of the alteration zones (continuous media) and rocky environments (discontinuous environments) of the Bouna Department. Having both qualitative and quantitative interpretation, the inverse slope method (ISM) has the ability to determine the different geoelectric layers while characterizing their resistivities and true thicknesses. In the Bouna department, this method allowed us to count a maximum of four (4) geoelectric layers with a total thickness ranging from 12.99 m to 24.66 m. The alteration thicknesses calculated by the ISM in comparison with those measured in the boreholes showed a linear agreement of the coefficient of determination R2 = 0.8269 with the support of the Nash criterion which showed that this method gave thicknesses of alteration close to 76.76% of that obtained during the drillings.展开更多
Photo-assisted Li-O2 batteries(LOBs)have remained a prominent and growing field over the past several years.However,the presence of slow oxygen reduction reaction(ORR)and oxygen evolution reaction(OER),large charging ...Photo-assisted Li-O2 batteries(LOBs)have remained a prominent and growing field over the past several years.However,the presence of slow oxygen reduction reaction(ORR)and oxygen evolution reaction(OER),large charging and discharging overpotentials,and unstable cycle life lead to low energy efficiency,thus limiting their commercial application.The rational design and synthesis of photocathode materials are effective ways to solve the above existing problems of photo-assisted LOB systems.Herein,the recent advances in the design and preparation of photocathode materials for photo-assisted LOBs were summarized in this review.First,we summarize the basic principles and comprehension of the reaction mechanism for photo-assisted LOBs.The second part introduces the latest research progress on photocathode materials.The third section describes the relationship between the structureproperties and electrochemistry of different photocathodes.In addition,attempts to construct efficient photocathode materials for photo-assisted LOBs through vacancy engineering,localized surface plasmon resonance(LSPR),and heterojunction engineering are mainly discussed.Finally,a discussion of attempts to construct efficient photocathode materials using other approaches is also presented.This work will motivate the preparation of stable and efficient photocathode materials for photo-assisted LOBs and aims to promote the commercial application of rechargeable photo-assisted LOBs energy storage.展开更多
The interesting nanomaterials that have developed quickly in the latest years and have a lot of significance in the biomedical industry are nanocelluloses (NCs). This tendency is in line with the growing need for main...The interesting nanomaterials that have developed quickly in the latest years and have a lot of significance in the biomedical industry are nanocelluloses (NCs). This tendency is in line with the growing need for maintainable materials that will enhance wellbeing and prolong human life, as well as the need to stay up to date with medical technological advancements. Based on the most desirable characteristics of nanocellulose, a variety of novel, useful materials with a broad scope of biomedical applications have been developed. NCs-based materials have garnered a lot of interest in medical applications due to their obtainability, biodegradability, affordability, biocompatibility, sustainability, exceptional mechanical qualities and low cytotoxicity. For the year 2022, the medical field more specifically, biosensors, drug delivery, wound dressing, tissue engineering, and medical implants, represents more than 60% of all the disciplines in which NCs are utilized. Domains, including wrapping, purification of air, ultrafiltration, elimination of pollutants, acoustics, account for around 40% of the entire number of other applications [1]. The overview of nanocellulose for medical applications is briefly reviewed in the first section of this paper. The second section explains how nanocelluloses can be modified for use in medicine. Chemically altering nanocellulose to create hydrogels, nanogels, and nanocomposites, as well as altering the surface for use in biomedicine. The review also discusses the benefits of nanocellulose over the existing technologies in the biomedical field. The final section discusses how nanocelluloses are used in the biomedical field.展开更多
In this paper,we first generalize the constant dimension and orbit codes over finite fields to the constant rank and orbit codes over finite chain rings.Then we provide a relationship between constant rank codes over ...In this paper,we first generalize the constant dimension and orbit codes over finite fields to the constant rank and orbit codes over finite chain rings.Then we provide a relationship between constant rank codes over finite chain rings and constant dimension codes over the residue fields.In particular,we prove that an orbit submodule code over a finite chain ring is a constant rank code.Finally,for special finite chain ring F_(q)+γF_(q),we define a Gray mapφfrom(F_(q)+γF_(q))^(n)to F^(2n)_(q),and by using cyclic codes over F_(q)+γF_(q),we obtain a method of constructing an optimum distance constant dimension code over F_(q).展开更多
Fuel station drive-offs,wherein the drivers simply drive off without paying,are a major issue in the UK(United Kingdom)due to rising fuel costs and financial hardships.The phenomenon has increased greatly over the las...Fuel station drive-offs,wherein the drivers simply drive off without paying,are a major issue in the UK(United Kingdom)due to rising fuel costs and financial hardships.The phenomenon has increased greatly over the last few years,with reports indicating a substantial increase in such events in the major cities.Traditional prevention measures such as Avutec and Driveoffalert rely primarily on expensive infrastructure and blacklisted databases.Such systems typically involve costly camera installation andmaintenance and are consequently out of the budget of small fuel stations.These conventional approaches also fall short regarding real-time recognition,particularly regarding first-time impostors using fictitious plates,which represent an increasingly significant proportion of such forgery.This research presents an AI(Artificial Intelligence)-driven detection system using the MOT(Ministry of Transport)History API(Application Programming Interface)to scan in real-time at gas stations to recognize and prevent such fraud.The system integrates various state-of-the-art technologies to offer a foolproof system.Using the latestYOLO(YouOnly Look Once)model to recognize number plates and EasyOCR(Optical Character Recognition)to recognize characters,the system correctly reads license plates in various environmental conditions like lighting,viewpoint,and weather conditions.This approach minimizes the utilization of expensive camera systems and employs cheaper ANPR(AutomaticNumber Plate Recognition)gear,availing existing installed surveillance cameras on filling stations.The system operates with a basic web-based application to notify operators of stolen vehicles in real-time,enabling them to react immediately.Real-world testing achieves 84%success with CCTV(Closed-Circuit Television)images,depicting its real-world applicability.The results indicate that the AI-driven solution offers a monumental leap compared to current practices,giving fuel stations a cost-effective and efficient means of reducing financial loss from drive-off incidents.展开更多
Yeast-based models have become a powerful platform in pharmaceutical research,offering significant potential for producing complex drugs,vaccines,and therapeutic agents.While many current drugs were discovered before ...Yeast-based models have become a powerful platform in pharmaceutical research,offering significant potential for producing complex drugs,vaccines,and therapeutic agents.While many current drugs were discovered before fully understanding their molecular mechanisms,yeast systems now provide valuable insights for drug discovery and personalized medicine.Recent advancements in genetic engineering,metabolic engineering,and synthetic biology have improved the efficiency and scalability of yeast-based production systems,enabling more sustainable and cost-effective manufacturing processes.This paper reviews the latest developments in yeast-based technologies,focusing on their use as model organisms to study disease mechanisms,identify drug targets,and develop novel therapies.We highlight key platforms such as the yeast two-hybrid system,surface display technologies,and optimized expression systems.Additionally,we explore the future integration of yeast engineering with artificial intelligence(AI),machine learning(ML),and advanced genome editing technologies like CRISPR/Cas9,which are expected to accelerate drug discovery and enable personalized therapies.Furthermore,yeast-based systems are increasingly employed in largescale drug production,vaccine development,and therapeutic protein expression,offering promising applications in clinical and industrial settings.This paper discusses the practical implications of these systems and their potential to revolutionize drug development,paving the way for safer,more effective therapies.展开更多
Cinnamon was a significant commodity in the spice trade along the Silk Road and was popular throughout Asia,Europe,and Africa,where it has been widely used in medicine,religion,and daily life from ancient times to the...Cinnamon was a significant commodity in the spice trade along the Silk Road and was popular throughout Asia,Europe,and Africa,where it has been widely used in medicine,religion,and daily life from ancient times to the present day.This paper examines the ancient literature related to cinnamon from a global perspective,exploring its origins,spread,and medicinal uses documented in various traditional medicine.It aims to uncover the exchange of medicinal knowledge among civilizations along the Silk Road and the contribution of traditional Chinese medicine(TCM)to medical practices worldwide.The findings indicate that China and Southeast Asia were the primary sources of cinnamon used in the West during ancient times,with Persian and Arab traders playing a crucial role in its transmission from East to West.The common and unique applications of cinnamon in various medical traditions illustrate the dynamic flow of medicinal knowledge across regions and highlight the distinct strengths and characteristics of traditional medicines shaped by diverse cultural backgrounds.Taking cinnamon as an example,this study demonstrates how the westward spread of traditional Chinese medicines promoted the exchange and integration of medical knowledge among countries along the Silk Road.It contributes to understanding the patterns of medical knowledge dissemination between the ancient East and West,with medicines as the carrier for cultural exchange.展开更多
The physical examination of the fruit of soursop fruit (Annona muricata) selected from different parent trees was investigated. Three-stage modified Soxhlet method was used which includes a percolator (boiler and refl...The physical examination of the fruit of soursop fruit (Annona muricata) selected from different parent trees was investigated. Three-stage modified Soxhlet method was used which includes a percolator (boiler and reflux) which circulates the solvent, a thimble (usually made of thick filter paper) which retains the seed to be extracted, and a siphon mechanism, which periodically empties the condensed solvent from the thimble back into the percolator. The extraction of oil from the seed and the percentage yield was examined. The oil samples were characterized for physico-chemical properties. The maximum values of physical parameters found were fruit weight 3.7 ± 7.09, fruit length 12.2 ± 28.3 cm, with 15.2 ± 20.81 cm and 0.12 ± 18.91 g for pulp weight. The percentage oil yield of 48.5% was obtained due to the environmental factors such as the soil type, planting season and optimal temperature of the region of seed cultivation. The result of chemical properties showed maximum acid value 0.46 mg KOH, FFA of 0.33 mg, saponification of 189.4 mg KOH mg and peroxide value of 4.33 mg/g. The oil physical properties as discovered have a melting point of 32˚C, smoke point of 198˚C and flash point of 280˚C. The results obtained in this study further reveal the potential of oil from seed of soursop as a substitute for conventional vegetable oil due to its high flash point which is an indication of its low flammability and can be used as a good source of food, industrially can be used as an anti-microbial agent and for pest control.展开更多
Accurate measurement of anchor rod length is crucial for ensuring structural safety in tunnel engineering,yet conventional destructive techniques face limitations in efficiency and adaptability to complex underground ...Accurate measurement of anchor rod length is crucial for ensuring structural safety in tunnel engineering,yet conventional destructive techniques face limitations in efficiency and adaptability to complex underground environments.This study presents a novel wireless instrument based on the standing wave principle to enable remote,non-destructive length assessment.The system employs a master-slave architecture,where a handheld transmitter unit initiates measurements through robust 433 MHz wireless communication,optimized for signal penetration in obstructed spaces.The embedded measurement unit,integrated with anchor rods during installation,utilizes frequency-scanning technology to excite structural resonances.By analyzing standing wave characteristics,anchor length is derived from a calibrated frequency-length relationship.Power management adopts a standby-activation strategy to minimize energy consumption while maintaining operational readiness.Experimental validation confirms the system effectively measures anchor lengths with high precision and maintains reliable signal transmission through thick concrete barriers,demonstrating suitability for tunnel deployment.The non-destructive approach eliminates structural damage risks associated with traditional pull-out tests,while wireless operation enhances inspection efficiency in confined spaces.Thiswork establishes a paradigmfor embedded structural healthmonitoring in tunneling,offering significant improvements over existing methods in safety,cost-effectiveness,and scalability.The technology holds promise for broad applications in mining,underground infrastructure,and geotechnical engineering.展开更多
Lactic acid bacteria constitute numerous unique but varied microorganisms,with general characteristics such as catalase negative,Gram-positive,similar end product which is lactic acid as a result of sugar fermentation...Lactic acid bacteria constitute numerous unique but varied microorganisms,with general characteristics such as catalase negative,Gram-positive,similar end product which is lactic acid as a result of sugar fermentation.The safe usage of lactic acid bacteria in fermented foods is as old as creation,but as technological advancement grows and new strains of lactic acid bacteria are discovered,and researchers have the responsibilities of testing the safety of the new strains along with the old ones.Lactic acid bacteria such as Bifidobacterium species,Streptococcus species and Lactobacillus species,Leuconostoc,Pediococcus have been used in fermented foods over the years without any associated health risks and many of the LAB strains have been granted the GRAS(generally regarded as safe)status by regulatory bodies.展开更多
Neuromorphic computing has the potential to overcome limitations of traditional silicon technology in machine learning tasks.Recent advancements in large crossbar arrays and silicon-based asynchronous spiking neural n...Neuromorphic computing has the potential to overcome limitations of traditional silicon technology in machine learning tasks.Recent advancements in large crossbar arrays and silicon-based asynchronous spiking neural networks have led to promising neuromorphic systems.However,developing compact parallel computing technology for integrating artificial neural networks into traditional hardware remains a challenge.Organic computational materials offer affordable,biocompatible neuromorphic devices with exceptional adjustability and energy-efficient switching.Here,the review investigates the advancements made in the development of organic neuromorphic devices.This review explores resistive switching mechanisms such as interface-regulated filament growth,molecular-electronic dynamics,nanowire-confined filament growth,and vacancy-assisted ion migration,while proposing methodologies to enhance state retention and conductance adjustment.The survey examines the challenges faced in implementing low-power neuromorphic computing,e.g.,reducing device size and improving switching time.The review analyses the potential of these materials in adjustable,flexible,and low-power consumption applications,viz.biohybrid spiking circuits interacting with biological systems,systems that respond to specific events,robotics,intelligent agents,neuromorphic computing,neuromorphic bioelectronics,neuroscience,and other applications,and prospects of this technology.展开更多
Purpose-The rapid development of China’s railway construction has led to an increase in data generated by the high-speed rail(HSR)catenary system.Traditional management methods struggle with challenges such as poor i...Purpose-The rapid development of China’s railway construction has led to an increase in data generated by the high-speed rail(HSR)catenary system.Traditional management methods struggle with challenges such as poor information sharing,disconnected business applications and insufficient intelligence throughout the lifecycle.This study aims to address these issues by applying building information modeling(BIM)technology to improve lifecycle management efficiency for HSR catenary systems.Design/methodology/approach-Based on the lifecycle management needs of catenary engineering,incorporating the intelligent HSR“Model-Data Driven,Axis-Plane Coordination”philosophy,this paper constructs a BIM-based lifecycle management framework for HSR catenary engineering.Findings-This study investigates the full-process lifecycle management of the catenary system across various stages of design,manufacture,construction and operation,exploring integrated BIM models and data transmission methods,along with key technologies for BIM model transmission,transformation and lightweighting.Originality/value-This study establishes a lossless information circulation and transmission system for HSR catenary lifecycle management.Multi-stage applications are verified through the construction of the Chongqing-Kunming High-Speed Railway,comprehensive advancing the intelligent promotion and highquality development of catenary engineering.展开更多
BACKGROUND Metabolomics sequencing technology was used to investigate the changes of intestinal flora and metabolites in gastric cancer patients in plateau areas.AIM To investigate changes in gut microbiota and their ...BACKGROUND Metabolomics sequencing technology was used to investigate the changes of intestinal flora and metabolites in gastric cancer patients in plateau areas.AIM To investigate changes in gut microbiota and their metabolites in patients with gastric cancer from plateau regions using untargeted metabolomic sequencing.METHODS Fresh morning fecal samples were collected from 30 gastric cancer patients diagnosed at a tertiary hospital in Qinghai Province and 30 healthy individuals(controls).Liquid chromatography-tandem mass spectrometry based untargeted metabolomic sequencing was used to analyze metabolite changes and predict metabolic function.RESULTS Metabolomic analysis identified 281 metabolites in samples from both groups.These metabolites were categorized into eight major classes,listed in descending order of abundance:Lipids and lipid-like molecules(35.443%);organic acids and derivatives(29.114%);organic oxygen compounds(15.19%);nucleosides,nucleotides,and analogs(13.924%);organoheterocyclic compounds(2.532%),amino acids and peptides(1.266%);benzenoids(1.266%);and fatty acids(1.266%).Compared with the control group,the top 10 metabolites elevated in the gastric cancer group included:Dethiobiotin,glycylproline,glycine,hydroxyisocaproic acid,tyramine,methionine sulfoxide,5-aminopentanoic acid,citrulline,betonicine,and formiminoglutamic acid and the top 10 decreased were:Cytidine,5'-methylthioadenosine,trehalose,melibiose,lotaustralin,adenosine,inosine,ribothymidine,raffinose,and galactinol.Functional prediction analysis revealed that these differential metabolites were primarily enriched in 12 metabolic pathways,including purine metabolism,cysteine and methionine metabolism,galactose metabolism,lysine degradation,glycine,serine,and threonine metabolism,biotin metabolism,pyrimidine metabolism,arginine and proline metabolism,histidine metabolism,primary bile acid biosynthesis,starch and sucrose metabolism,and tyrosine metabolism.CONCLUSION Significant differences in intestinal microbial metabolites and associated metabolic pathways were observed between gastric cancer patients and healthy controls residing in plateau regions.展开更多
The increasing adoption of Industrial Internet of Things(IIoT)systems in smart manufacturing is leading to raise cyberattack numbers and pressing the requirement for intrusion detection systems(IDS)to be effective.How...The increasing adoption of Industrial Internet of Things(IIoT)systems in smart manufacturing is leading to raise cyberattack numbers and pressing the requirement for intrusion detection systems(IDS)to be effective.However,existing datasets for IDS training often lack relevance to modern IIoT environments,limiting their applicability for research and development.To address the latter gap,this paper introduces the HiTar-2024 dataset specifically designed for IIoT systems.As a consequence,that can be used by an IDS to detect imminent threats.Likewise,HiTar-2024 was generated using the AREZZO simulator,which replicates realistic smart manufacturing scenarios.The generated dataset includes five distinct classes:Normal,Probing,Remote to Local(R2L),User to Root(U2R),and Denial of Service(DoS).Furthermore,comprehensive experiments with popular Machine Learning(ML)models using various classifiers,including BayesNet,Logistic,IBK,Multiclass,PART,and J48 demonstrate high accuracy,precision,recall,and F1-scores,exceeding 0.99 across all ML metrics.The latter result is reached thanks to the rigorous applied process to achieve this quite good result,including data pre-processing,features extraction,fixing the class imbalance problem,and using a test option for model robustness.This comprehensive approach emphasizes meticulous dataset construction through a complete dataset generation process,a careful labelling algorithm,and a sophisticated evaluation method,providing valuable insights to reinforce IIoT system security.Finally,the HiTar-2024 dataset is compared with other similar datasets in the literature,considering several factors such as data format,feature extraction tools,number of features,attack categories,number of instances,and ML metrics.展开更多
Aims and objectives: The frequent and unprescribed use of antibiotics has led to the development of resistance by microorganisms responsible for urinary tract infection (UTI). In order to facilitate the follow-up of t...Aims and objectives: The frequent and unprescribed use of antibiotics has led to the development of resistance by microorganisms responsible for urinary tract infection (UTI). In order to facilitate the follow-up of this microbial resistance, the aim of this study was to determine the bacteria resistant phenotypes. Method: To achieve the following objectives, this study was conducted from June to August 2023. The isolation and identification were performed by standard methods why susceptibility testing was done by Kirby-Bauer disk diffusion technique according to CLSI guidelines. Double-disk synergy test was applied to determine the presence of extended-spectrum β-lactamase (ESBL) produced by bacteria. The Imipenem EDTA Combined Disc Test (CDT) for Metallo beta lactamase (MBL) screening, the D-zone test to detect macrolides, lincosamides and streptogramins type B (MLSB) and Meticillin resistant Staphylococcus aureus (MRS A) which was assessed using a Cefoxitin (30 µg) disc. Results: A total of 40 bacteria were identified with a prevalence of 37.03%. Overall, E. coli was the predominant isolate 14 (35%), followed by Staphylococcus aureus 10 (25%) and Klesbsiella pneumonia 4 (10%). Pseudomonas aeruginosa, Salmonella arinosa and Enterobacter were the most sensible (100%) bacteria against ciprofloxin, ceftriaxone and cefixime. Almost all bacteria were resistant to Amoxicillin/clavulanic acid (>50%). The isolates were in the majority resistant to imipenem. ESBL-producing Enterobacteriaceae represented 25.92%, with a higher rate among E. coli. No MBL production was found among the isolates while 38.46% represented cMLSB, 15.38% represented iMLSB, 23.07% represented MSB and 23.07% represented MRSA. Conclusion: Clinical strains of UTI from Protestant Hospital of Ngaoundere exhibiting ESBL, cMLSB, iMLSB, MSB and MRSA. The regular updating of antibiotic resistance statistics of isolated strains allows for a better adaptation of probabilistic antibiotic therapy.展开更多
BACKGROUND Pancreatic cancer is a highly aggressive malignancy with a dismal prognosis,primarily due to its late diagnosis.Current gold-standard diagnostic methods,such as tissue histopathological examination,are inva...BACKGROUND Pancreatic cancer is a highly aggressive malignancy with a dismal prognosis,primarily due to its late diagnosis.Current gold-standard diagnostic methods,such as tissue histopathological examination,are invasive and carry risks of complications(e.g.,bleeding,infection,pancreatic fistula),limiting their routine use.Serum tumor markers[carbohydrate antigen 19-9(CA-19-9),carcinoem-bryonic antigen(CEA)]have been widely studied for non-invasive screening,but their single use lacks sufficient sensitivity and specificity for early detection.Emerging research suggests that inflammatory and stromal-related molecules,such as soluble intercellular adhesion molecule-1(sICAM-1)(involved in tumor cell adhesion and metastasis)and chitinase-3-like protein 1(CHI3 L1)(a marker of tissue remodeling and inflammation),may complement traditional markers in improving diagnostic accuracy.However,their combined utility in pancreatic cancer diagnosis,particularly for differentiating early-stage tumors,remains unclear.AIM To explore the application value of serum tumor markers(CA-19-9,CEA)and serum sICAM-1 and CHI3 L1 in the early diagnosis of pancreatic cancer.METHODS From October 2021 to October 2024,51 patients with pancreatic cancer were selected for the pancreatic cancer group,and 51 healthy examinees were selected for the healthy group during the same period.The value of serum tumor markers in combination with serum sICAM-1 and CHI3 L1 for the early diagnosis of pancreatic cancer was assessed.RESULTS Comparison of age,gender,body mass index,and drinking and smoking histories between the two groups was not statistically significant(P>0.05);serum tumor marker(CA-19-9,CEA),serum sICAM-1 and CHI3 L1 levels were higher in the pancreatic cancer group(P<0.05);pancreatic cancer patients of stage II had higher serum tumor marker(CA-19-9,CEA),serum sICAM-1,and CHI3 L1 values(P<0.05);serum tumor markers,serum sICAM-1,and CHI3 L1 were positively correlated with pancreatic cancer(P<0.05)and showed a positive correlation with stage I and stage II.Pancreatic cancer showed a positive correlation(P<0.05);multifactor logistic regression analysis showed that serum tumor markers(CA-19-9,CEA),serum sICAM-1 and CHI3 L1 were independent risk factors for pancreatic cancer(P<0.05);serum tumor markers(CA-19-9,CEA),serum sICAM-1,serum tumor marker(CA-19-9,CEA)and serum sICAM-1 and CHI3 L1 had area under the curves(AUCs)of 0.750,0.724,0.585,and 0.562 for pancreatic cancer diagnosis,respectively;AUCs for stage I diagnosis were 0.766,0.752,0.622,and 0.572 and for stage II diagnosis were 0.783,0.758,0.626,and 0.671,respectively,and the AUCs for the combined diagnosis of pancreatic cancer,stage I pancreatic cancer,and stage II pancreatic cancer were 0.782,0.824,and 0.862,respectively(P<0.05).CONCLUSION The combined detection of serum tumor markers with serum sICAM-1 and serum CHI3 L1 can significantly improve the accuracy and sensitivity of the diagnosis of pancreatic cancer and its different stages.展开更多
BACKGROUND Percutaneous cholecystostomy(PC)can be used as a bridging therapy for moderately severe acute biliary pancreatitis(MSABP).Currently,there are only a limited number of reports of MSABP using PCs.AIM To asses...BACKGROUND Percutaneous cholecystostomy(PC)can be used as a bridging therapy for moderately severe acute biliary pancreatitis(MSABP).Currently,there are only a limited number of reports of MSABP using PCs.AIM To assess the short-term outcomes of early PC in MSABP and factors associated with recurrence and death in MSABP.METHODS Patients who received conservative treatment or PC for acute biliary pancreatitis(ABP)in Liaoning Provincial People’s Hospital from January 2017 to July 2022 were collected.A total of 54 patients with MSABP who received early-stage PC and 29 patients who received conservative treatment.The short-term efficacy of PC was evaluated.Depending on whether there is a recurrence,compare the characteristics of the pre-PC and explore the factors of recurrence.Pre-PC features were compared and predictors were discussed,depending on the outcome.RESULTS After 3 days of PC treatment,patients experienced a reduction in inflammatory markers compared to the conservative group.After PC,patients were divided into non-recurrence(n=37)and recurrence(n=10)groups,and the results showed that age was an independent correlation affecting ABP recurrence[odds ratio(OR)=0.937,95%confidence interval(CI):0.878-0.999;P=0.047<0.05].Patient outcomes were divided into non-lethal(n=47)and lethal(n=7)groups,and Charlson Comorbidity Index(CCI)was a risk factor for mortality(OR=2.397,95%CI:1.139-5.047;P=0.021<0.05).CCI was highly accurate in predicting death in MSABP(area under the curve=0.86>0.7).When the Youden index maximum was 0.565,the cut-off value was 5.5,the sensitivity was 71.4%,and the specificity was 85.1%.CONCLUSION PC is an important method in the early years(<72 hours)of MSABP.Age is a protective factor against recurrence of ABP.High pre-PC CCI is significantly associated with mortality.展开更多
基金funded by the Scientific Research Project of Lingnan Normal Universitythe following projects and centers at Lingnan Normal University:the Special Project on Party Building and Ideological-Political Education—“Practical Research on‘Curriculum Ideology and Politics’in Universities under the Concept of‘Three-Wide Education’”(WD2424)+1 种基金the Science Education Special Project—“Research on Implementation Strategies for High-Quality Development of Science Popularization Education Based on Scientific Activities”(KX2404)the Ideological-Political Education Teaching Demonstration Center of the School of Physics(PX-4825706).
文摘The digital-intelligent era presents both opportunities and challenges for specialized course education in universities.Based on the fundamental task of fostering virtue through education,this study takes the course“Design and Guidance of Science Play Performance Activities”as an example to explore practical pathways for integrating ideological and political education into specialized courses within a digital-intelligent context.Employing literature review and action research methodologies,the study constructs a digital-intelligent teaching model,develops digital ideological and political resources,innovates teaching methods,and systematically identifies and deeply integrates ideological and political elements into the curriculum.Through practical validation,the research summarizes a curriculum design framework grounded in Tyler’s principles and a digital-intelligent teaching model based on BOPPPS,providing transferable pathways for ideological and political education in specialized courses.Furthermore,it offers theoretical support and practical references for the deep integration and innovative application of digital-intelligent technologies in education.
文摘The rapid growth of biomedical data,particularly multi-omics data including genomes,transcriptomics,proteomics,metabolomics,and epigenomics,medical research and clinical decision-making confront both new opportunities and obstacles.The huge and diversified nature of these datasets cannot always be managed using traditional data analysis methods.As a consequence,deep learning has emerged as a strong tool for analysing numerous omics data due to its ability to handle complex and non-linear relationships.This paper explores the fundamental concepts of deep learning and how they are used in multi-omics medical data mining.We demonstrate how autoencoders,variational autoencoders,multimodal models,attention mechanisms,transformers,and graph neural networks enable pattern analysis and recognition across all omics data.Deep learning has been found to be effective in illness classification,biomarker identification,gene network learning,and therapeutic efficacy prediction.We also consider critical problems like as data quality,model explainability,whether findings can be repeated,and computational power requirements.We now consider future elements of combining omics with clinical and imaging data,explainable AI,federated learning,and real-time diagnostics.Overall,this study emphasises the need of collaborating across disciplines to advance deep learning-based multi-omics research for precision medicine and comprehending complicated disorders.
基金This research was supported by the Hydrogeology Research Group of the Geosciences and Environment Laboratory at Nangui Abrogoua University in Abidjan,Ivory Coast.
文摘The inverse slope method (ISM) was used to interpret electric sounding data to determine the geoelectric parameters of the alteration zones (continuous media) and rocky environments (discontinuous environments) of the Bouna Department. Having both qualitative and quantitative interpretation, the inverse slope method (ISM) has the ability to determine the different geoelectric layers while characterizing their resistivities and true thicknesses. In the Bouna department, this method allowed us to count a maximum of four (4) geoelectric layers with a total thickness ranging from 12.99 m to 24.66 m. The alteration thicknesses calculated by the ISM in comparison with those measured in the boreholes showed a linear agreement of the coefficient of determination R2 = 0.8269 with the support of the Nash criterion which showed that this method gave thicknesses of alteration close to 76.76% of that obtained during the drillings.
文摘Photo-assisted Li-O2 batteries(LOBs)have remained a prominent and growing field over the past several years.However,the presence of slow oxygen reduction reaction(ORR)and oxygen evolution reaction(OER),large charging and discharging overpotentials,and unstable cycle life lead to low energy efficiency,thus limiting their commercial application.The rational design and synthesis of photocathode materials are effective ways to solve the above existing problems of photo-assisted LOB systems.Herein,the recent advances in the design and preparation of photocathode materials for photo-assisted LOBs were summarized in this review.First,we summarize the basic principles and comprehension of the reaction mechanism for photo-assisted LOBs.The second part introduces the latest research progress on photocathode materials.The third section describes the relationship between the structureproperties and electrochemistry of different photocathodes.In addition,attempts to construct efficient photocathode materials for photo-assisted LOBs through vacancy engineering,localized surface plasmon resonance(LSPR),and heterojunction engineering are mainly discussed.Finally,a discussion of attempts to construct efficient photocathode materials using other approaches is also presented.This work will motivate the preparation of stable and efficient photocathode materials for photo-assisted LOBs and aims to promote the commercial application of rechargeable photo-assisted LOBs energy storage.
文摘The interesting nanomaterials that have developed quickly in the latest years and have a lot of significance in the biomedical industry are nanocelluloses (NCs). This tendency is in line with the growing need for maintainable materials that will enhance wellbeing and prolong human life, as well as the need to stay up to date with medical technological advancements. Based on the most desirable characteristics of nanocellulose, a variety of novel, useful materials with a broad scope of biomedical applications have been developed. NCs-based materials have garnered a lot of interest in medical applications due to their obtainability, biodegradability, affordability, biocompatibility, sustainability, exceptional mechanical qualities and low cytotoxicity. For the year 2022, the medical field more specifically, biosensors, drug delivery, wound dressing, tissue engineering, and medical implants, represents more than 60% of all the disciplines in which NCs are utilized. Domains, including wrapping, purification of air, ultrafiltration, elimination of pollutants, acoustics, account for around 40% of the entire number of other applications [1]. The overview of nanocellulose for medical applications is briefly reviewed in the first section of this paper. The second section explains how nanocelluloses can be modified for use in medicine. Chemically altering nanocellulose to create hydrogels, nanogels, and nanocomposites, as well as altering the surface for use in biomedicine. The review also discusses the benefits of nanocellulose over the existing technologies in the biomedical field. The final section discusses how nanocelluloses are used in the biomedical field.
基金Supported by Research Funds of Hubei Province(D20144401,Q20174503)。
文摘In this paper,we first generalize the constant dimension and orbit codes over finite fields to the constant rank and orbit codes over finite chain rings.Then we provide a relationship between constant rank codes over finite chain rings and constant dimension codes over the residue fields.In particular,we prove that an orbit submodule code over a finite chain ring is a constant rank code.Finally,for special finite chain ring F_(q)+γF_(q),we define a Gray mapφfrom(F_(q)+γF_(q))^(n)to F^(2n)_(q),and by using cyclic codes over F_(q)+γF_(q),we obtain a method of constructing an optimum distance constant dimension code over F_(q).
文摘Fuel station drive-offs,wherein the drivers simply drive off without paying,are a major issue in the UK(United Kingdom)due to rising fuel costs and financial hardships.The phenomenon has increased greatly over the last few years,with reports indicating a substantial increase in such events in the major cities.Traditional prevention measures such as Avutec and Driveoffalert rely primarily on expensive infrastructure and blacklisted databases.Such systems typically involve costly camera installation andmaintenance and are consequently out of the budget of small fuel stations.These conventional approaches also fall short regarding real-time recognition,particularly regarding first-time impostors using fictitious plates,which represent an increasingly significant proportion of such forgery.This research presents an AI(Artificial Intelligence)-driven detection system using the MOT(Ministry of Transport)History API(Application Programming Interface)to scan in real-time at gas stations to recognize and prevent such fraud.The system integrates various state-of-the-art technologies to offer a foolproof system.Using the latestYOLO(YouOnly Look Once)model to recognize number plates and EasyOCR(Optical Character Recognition)to recognize characters,the system correctly reads license plates in various environmental conditions like lighting,viewpoint,and weather conditions.This approach minimizes the utilization of expensive camera systems and employs cheaper ANPR(AutomaticNumber Plate Recognition)gear,availing existing installed surveillance cameras on filling stations.The system operates with a basic web-based application to notify operators of stolen vehicles in real-time,enabling them to react immediately.Real-world testing achieves 84%success with CCTV(Closed-Circuit Television)images,depicting its real-world applicability.The results indicate that the AI-driven solution offers a monumental leap compared to current practices,giving fuel stations a cost-effective and efficient means of reducing financial loss from drive-off incidents.
基金funded by 2024 Scientific Research Project of Chongqing Medical and Pharmaceutical College(No.ygzrc2024101)Chongqing Education Commission Natural Science Foundation(No.KJQN202402821)+2 种基金Chongqing Shapingba District Science and Technology Bureau Project(No.2024071)2024 Chongqing Medical and Pharmaceutical College Innovation Research Group Project(No.ygz2024401)Chongqing Science and Health Joint Medical Research Project(No.2024SQKWLHMS051),respectively.
文摘Yeast-based models have become a powerful platform in pharmaceutical research,offering significant potential for producing complex drugs,vaccines,and therapeutic agents.While many current drugs were discovered before fully understanding their molecular mechanisms,yeast systems now provide valuable insights for drug discovery and personalized medicine.Recent advancements in genetic engineering,metabolic engineering,and synthetic biology have improved the efficiency and scalability of yeast-based production systems,enabling more sustainable and cost-effective manufacturing processes.This paper reviews the latest developments in yeast-based technologies,focusing on their use as model organisms to study disease mechanisms,identify drug targets,and develop novel therapies.We highlight key platforms such as the yeast two-hybrid system,surface display technologies,and optimized expression systems.Additionally,we explore the future integration of yeast engineering with artificial intelligence(AI),machine learning(ML),and advanced genome editing technologies like CRISPR/Cas9,which are expected to accelerate drug discovery and enable personalized therapies.Furthermore,yeast-based systems are increasingly employed in largescale drug production,vaccine development,and therapeutic protein expression,offering promising applications in clinical and industrial settings.This paper discusses the practical implications of these systems and their potential to revolutionize drug development,paving the way for safer,more effective therapies.
文摘Cinnamon was a significant commodity in the spice trade along the Silk Road and was popular throughout Asia,Europe,and Africa,where it has been widely used in medicine,religion,and daily life from ancient times to the present day.This paper examines the ancient literature related to cinnamon from a global perspective,exploring its origins,spread,and medicinal uses documented in various traditional medicine.It aims to uncover the exchange of medicinal knowledge among civilizations along the Silk Road and the contribution of traditional Chinese medicine(TCM)to medical practices worldwide.The findings indicate that China and Southeast Asia were the primary sources of cinnamon used in the West during ancient times,with Persian and Arab traders playing a crucial role in its transmission from East to West.The common and unique applications of cinnamon in various medical traditions illustrate the dynamic flow of medicinal knowledge across regions and highlight the distinct strengths and characteristics of traditional medicines shaped by diverse cultural backgrounds.Taking cinnamon as an example,this study demonstrates how the westward spread of traditional Chinese medicines promoted the exchange and integration of medical knowledge among countries along the Silk Road.It contributes to understanding the patterns of medical knowledge dissemination between the ancient East and West,with medicines as the carrier for cultural exchange.
文摘The physical examination of the fruit of soursop fruit (Annona muricata) selected from different parent trees was investigated. Three-stage modified Soxhlet method was used which includes a percolator (boiler and reflux) which circulates the solvent, a thimble (usually made of thick filter paper) which retains the seed to be extracted, and a siphon mechanism, which periodically empties the condensed solvent from the thimble back into the percolator. The extraction of oil from the seed and the percentage yield was examined. The oil samples were characterized for physico-chemical properties. The maximum values of physical parameters found were fruit weight 3.7 ± 7.09, fruit length 12.2 ± 28.3 cm, with 15.2 ± 20.81 cm and 0.12 ± 18.91 g for pulp weight. The percentage oil yield of 48.5% was obtained due to the environmental factors such as the soil type, planting season and optimal temperature of the region of seed cultivation. The result of chemical properties showed maximum acid value 0.46 mg KOH, FFA of 0.33 mg, saponification of 189.4 mg KOH mg and peroxide value of 4.33 mg/g. The oil physical properties as discovered have a melting point of 32˚C, smoke point of 198˚C and flash point of 280˚C. The results obtained in this study further reveal the potential of oil from seed of soursop as a substitute for conventional vegetable oil due to its high flash point which is an indication of its low flammability and can be used as a good source of food, industrially can be used as an anti-microbial agent and for pest control.
基金supported in part by the Natural Science Foundation of Gansu Province(Nos.20JR10RA614,22YF7GA182,22JR11RA042,22JR5RA1006,24CXGA024)the National Natural Science Foundation of China under Grant 61804071.
文摘Accurate measurement of anchor rod length is crucial for ensuring structural safety in tunnel engineering,yet conventional destructive techniques face limitations in efficiency and adaptability to complex underground environments.This study presents a novel wireless instrument based on the standing wave principle to enable remote,non-destructive length assessment.The system employs a master-slave architecture,where a handheld transmitter unit initiates measurements through robust 433 MHz wireless communication,optimized for signal penetration in obstructed spaces.The embedded measurement unit,integrated with anchor rods during installation,utilizes frequency-scanning technology to excite structural resonances.By analyzing standing wave characteristics,anchor length is derived from a calibrated frequency-length relationship.Power management adopts a standby-activation strategy to minimize energy consumption while maintaining operational readiness.Experimental validation confirms the system effectively measures anchor lengths with high precision and maintains reliable signal transmission through thick concrete barriers,demonstrating suitability for tunnel deployment.The non-destructive approach eliminates structural damage risks associated with traditional pull-out tests,while wireless operation enhances inspection efficiency in confined spaces.Thiswork establishes a paradigmfor embedded structural healthmonitoring in tunneling,offering significant improvements over existing methods in safety,cost-effectiveness,and scalability.The technology holds promise for broad applications in mining,underground infrastructure,and geotechnical engineering.
文摘Lactic acid bacteria constitute numerous unique but varied microorganisms,with general characteristics such as catalase negative,Gram-positive,similar end product which is lactic acid as a result of sugar fermentation.The safe usage of lactic acid bacteria in fermented foods is as old as creation,but as technological advancement grows and new strains of lactic acid bacteria are discovered,and researchers have the responsibilities of testing the safety of the new strains along with the old ones.Lactic acid bacteria such as Bifidobacterium species,Streptococcus species and Lactobacillus species,Leuconostoc,Pediococcus have been used in fermented foods over the years without any associated health risks and many of the LAB strains have been granted the GRAS(generally regarded as safe)status by regulatory bodies.
基金financially supported by the Ministry of Education(Singapore)(MOE-T2EP50220-0022)SUTD-MIT International Design Center(Singapore)+3 种基金SUTD-ZJU IDEA Grant Program(SUTD-ZJU(VP)201903)SUTD Kickstarter Initiative(SKI 2021_02_03,SKI 2021_02_17,SKI 2021_01_04)Agency of Science,Technology and Research(Singapore)(A20G9b0135)National Supercomputing Centre(Singapore)(15001618)。
文摘Neuromorphic computing has the potential to overcome limitations of traditional silicon technology in machine learning tasks.Recent advancements in large crossbar arrays and silicon-based asynchronous spiking neural networks have led to promising neuromorphic systems.However,developing compact parallel computing technology for integrating artificial neural networks into traditional hardware remains a challenge.Organic computational materials offer affordable,biocompatible neuromorphic devices with exceptional adjustability and energy-efficient switching.Here,the review investigates the advancements made in the development of organic neuromorphic devices.This review explores resistive switching mechanisms such as interface-regulated filament growth,molecular-electronic dynamics,nanowire-confined filament growth,and vacancy-assisted ion migration,while proposing methodologies to enhance state retention and conductance adjustment.The survey examines the challenges faced in implementing low-power neuromorphic computing,e.g.,reducing device size and improving switching time.The review analyses the potential of these materials in adjustable,flexible,and low-power consumption applications,viz.biohybrid spiking circuits interacting with biological systems,systems that respond to specific events,robotics,intelligent agents,neuromorphic computing,neuromorphic bioelectronics,neuroscience,and other applications,and prospects of this technology.
基金supported by China Academy of Railway Sciences Foundation(Research on Multi Agent Collaborative Mechanism of Intelligent High Speed Rail System Based on Complex Adaptive System Theory,Grant 2023YJ392).
文摘Purpose-The rapid development of China’s railway construction has led to an increase in data generated by the high-speed rail(HSR)catenary system.Traditional management methods struggle with challenges such as poor information sharing,disconnected business applications and insufficient intelligence throughout the lifecycle.This study aims to address these issues by applying building information modeling(BIM)technology to improve lifecycle management efficiency for HSR catenary systems.Design/methodology/approach-Based on the lifecycle management needs of catenary engineering,incorporating the intelligent HSR“Model-Data Driven,Axis-Plane Coordination”philosophy,this paper constructs a BIM-based lifecycle management framework for HSR catenary engineering.Findings-This study investigates the full-process lifecycle management of the catenary system across various stages of design,manufacture,construction and operation,exploring integrated BIM models and data transmission methods,along with key technologies for BIM model transmission,transformation and lightweighting.Originality/value-This study establishes a lossless information circulation and transmission system for HSR catenary lifecycle management.Multi-stage applications are verified through the construction of the Chongqing-Kunming High-Speed Railway,comprehensive advancing the intelligent promotion and highquality development of catenary engineering.
基金Supported by Gansu Provincial Natural Science Foundation Project,No.23JRRA725Postgraduate Research Innovation Project of Northwest Minzu University in 2025,No.31920250001-382024 Qinghai Province's"Kunlun Talent High-end Innovative and Entrepreneurial Talent Project"Cultivates Top Talents Project,No.QHKLYC-GDCXCY-2024-155.
文摘BACKGROUND Metabolomics sequencing technology was used to investigate the changes of intestinal flora and metabolites in gastric cancer patients in plateau areas.AIM To investigate changes in gut microbiota and their metabolites in patients with gastric cancer from plateau regions using untargeted metabolomic sequencing.METHODS Fresh morning fecal samples were collected from 30 gastric cancer patients diagnosed at a tertiary hospital in Qinghai Province and 30 healthy individuals(controls).Liquid chromatography-tandem mass spectrometry based untargeted metabolomic sequencing was used to analyze metabolite changes and predict metabolic function.RESULTS Metabolomic analysis identified 281 metabolites in samples from both groups.These metabolites were categorized into eight major classes,listed in descending order of abundance:Lipids and lipid-like molecules(35.443%);organic acids and derivatives(29.114%);organic oxygen compounds(15.19%);nucleosides,nucleotides,and analogs(13.924%);organoheterocyclic compounds(2.532%),amino acids and peptides(1.266%);benzenoids(1.266%);and fatty acids(1.266%).Compared with the control group,the top 10 metabolites elevated in the gastric cancer group included:Dethiobiotin,glycylproline,glycine,hydroxyisocaproic acid,tyramine,methionine sulfoxide,5-aminopentanoic acid,citrulline,betonicine,and formiminoglutamic acid and the top 10 decreased were:Cytidine,5'-methylthioadenosine,trehalose,melibiose,lotaustralin,adenosine,inosine,ribothymidine,raffinose,and galactinol.Functional prediction analysis revealed that these differential metabolites were primarily enriched in 12 metabolic pathways,including purine metabolism,cysteine and methionine metabolism,galactose metabolism,lysine degradation,glycine,serine,and threonine metabolism,biotin metabolism,pyrimidine metabolism,arginine and proline metabolism,histidine metabolism,primary bile acid biosynthesis,starch and sucrose metabolism,and tyrosine metabolism.CONCLUSION Significant differences in intestinal microbial metabolites and associated metabolic pathways were observed between gastric cancer patients and healthy controls residing in plateau regions.
文摘The increasing adoption of Industrial Internet of Things(IIoT)systems in smart manufacturing is leading to raise cyberattack numbers and pressing the requirement for intrusion detection systems(IDS)to be effective.However,existing datasets for IDS training often lack relevance to modern IIoT environments,limiting their applicability for research and development.To address the latter gap,this paper introduces the HiTar-2024 dataset specifically designed for IIoT systems.As a consequence,that can be used by an IDS to detect imminent threats.Likewise,HiTar-2024 was generated using the AREZZO simulator,which replicates realistic smart manufacturing scenarios.The generated dataset includes five distinct classes:Normal,Probing,Remote to Local(R2L),User to Root(U2R),and Denial of Service(DoS).Furthermore,comprehensive experiments with popular Machine Learning(ML)models using various classifiers,including BayesNet,Logistic,IBK,Multiclass,PART,and J48 demonstrate high accuracy,precision,recall,and F1-scores,exceeding 0.99 across all ML metrics.The latter result is reached thanks to the rigorous applied process to achieve this quite good result,including data pre-processing,features extraction,fixing the class imbalance problem,and using a test option for model robustness.This comprehensive approach emphasizes meticulous dataset construction through a complete dataset generation process,a careful labelling algorithm,and a sophisticated evaluation method,providing valuable insights to reinforce IIoT system security.Finally,the HiTar-2024 dataset is compared with other similar datasets in the literature,considering several factors such as data format,feature extraction tools,number of features,attack categories,number of instances,and ML metrics.
文摘Aims and objectives: The frequent and unprescribed use of antibiotics has led to the development of resistance by microorganisms responsible for urinary tract infection (UTI). In order to facilitate the follow-up of this microbial resistance, the aim of this study was to determine the bacteria resistant phenotypes. Method: To achieve the following objectives, this study was conducted from June to August 2023. The isolation and identification were performed by standard methods why susceptibility testing was done by Kirby-Bauer disk diffusion technique according to CLSI guidelines. Double-disk synergy test was applied to determine the presence of extended-spectrum β-lactamase (ESBL) produced by bacteria. The Imipenem EDTA Combined Disc Test (CDT) for Metallo beta lactamase (MBL) screening, the D-zone test to detect macrolides, lincosamides and streptogramins type B (MLSB) and Meticillin resistant Staphylococcus aureus (MRS A) which was assessed using a Cefoxitin (30 µg) disc. Results: A total of 40 bacteria were identified with a prevalence of 37.03%. Overall, E. coli was the predominant isolate 14 (35%), followed by Staphylococcus aureus 10 (25%) and Klesbsiella pneumonia 4 (10%). Pseudomonas aeruginosa, Salmonella arinosa and Enterobacter were the most sensible (100%) bacteria against ciprofloxin, ceftriaxone and cefixime. Almost all bacteria were resistant to Amoxicillin/clavulanic acid (>50%). The isolates were in the majority resistant to imipenem. ESBL-producing Enterobacteriaceae represented 25.92%, with a higher rate among E. coli. No MBL production was found among the isolates while 38.46% represented cMLSB, 15.38% represented iMLSB, 23.07% represented MSB and 23.07% represented MRSA. Conclusion: Clinical strains of UTI from Protestant Hospital of Ngaoundere exhibiting ESBL, cMLSB, iMLSB, MSB and MRSA. The regular updating of antibiotic resistance statistics of isolated strains allows for a better adaptation of probabilistic antibiotic therapy.
文摘BACKGROUND Pancreatic cancer is a highly aggressive malignancy with a dismal prognosis,primarily due to its late diagnosis.Current gold-standard diagnostic methods,such as tissue histopathological examination,are invasive and carry risks of complications(e.g.,bleeding,infection,pancreatic fistula),limiting their routine use.Serum tumor markers[carbohydrate antigen 19-9(CA-19-9),carcinoem-bryonic antigen(CEA)]have been widely studied for non-invasive screening,but their single use lacks sufficient sensitivity and specificity for early detection.Emerging research suggests that inflammatory and stromal-related molecules,such as soluble intercellular adhesion molecule-1(sICAM-1)(involved in tumor cell adhesion and metastasis)and chitinase-3-like protein 1(CHI3 L1)(a marker of tissue remodeling and inflammation),may complement traditional markers in improving diagnostic accuracy.However,their combined utility in pancreatic cancer diagnosis,particularly for differentiating early-stage tumors,remains unclear.AIM To explore the application value of serum tumor markers(CA-19-9,CEA)and serum sICAM-1 and CHI3 L1 in the early diagnosis of pancreatic cancer.METHODS From October 2021 to October 2024,51 patients with pancreatic cancer were selected for the pancreatic cancer group,and 51 healthy examinees were selected for the healthy group during the same period.The value of serum tumor markers in combination with serum sICAM-1 and CHI3 L1 for the early diagnosis of pancreatic cancer was assessed.RESULTS Comparison of age,gender,body mass index,and drinking and smoking histories between the two groups was not statistically significant(P>0.05);serum tumor marker(CA-19-9,CEA),serum sICAM-1 and CHI3 L1 levels were higher in the pancreatic cancer group(P<0.05);pancreatic cancer patients of stage II had higher serum tumor marker(CA-19-9,CEA),serum sICAM-1,and CHI3 L1 values(P<0.05);serum tumor markers,serum sICAM-1,and CHI3 L1 were positively correlated with pancreatic cancer(P<0.05)and showed a positive correlation with stage I and stage II.Pancreatic cancer showed a positive correlation(P<0.05);multifactor logistic regression analysis showed that serum tumor markers(CA-19-9,CEA),serum sICAM-1 and CHI3 L1 were independent risk factors for pancreatic cancer(P<0.05);serum tumor markers(CA-19-9,CEA),serum sICAM-1,serum tumor marker(CA-19-9,CEA)and serum sICAM-1 and CHI3 L1 had area under the curves(AUCs)of 0.750,0.724,0.585,and 0.562 for pancreatic cancer diagnosis,respectively;AUCs for stage I diagnosis were 0.766,0.752,0.622,and 0.572 and for stage II diagnosis were 0.783,0.758,0.626,and 0.671,respectively,and the AUCs for the combined diagnosis of pancreatic cancer,stage I pancreatic cancer,and stage II pancreatic cancer were 0.782,0.824,and 0.862,respectively(P<0.05).CONCLUSION The combined detection of serum tumor markers with serum sICAM-1 and serum CHI3 L1 can significantly improve the accuracy and sensitivity of the diagnosis of pancreatic cancer and its different stages.
基金The Institutional Ethics Committee of Liaoning Provincial People’s Hospital approved the study,No.(2023)K037.
文摘BACKGROUND Percutaneous cholecystostomy(PC)can be used as a bridging therapy for moderately severe acute biliary pancreatitis(MSABP).Currently,there are only a limited number of reports of MSABP using PCs.AIM To assess the short-term outcomes of early PC in MSABP and factors associated with recurrence and death in MSABP.METHODS Patients who received conservative treatment or PC for acute biliary pancreatitis(ABP)in Liaoning Provincial People’s Hospital from January 2017 to July 2022 were collected.A total of 54 patients with MSABP who received early-stage PC and 29 patients who received conservative treatment.The short-term efficacy of PC was evaluated.Depending on whether there is a recurrence,compare the characteristics of the pre-PC and explore the factors of recurrence.Pre-PC features were compared and predictors were discussed,depending on the outcome.RESULTS After 3 days of PC treatment,patients experienced a reduction in inflammatory markers compared to the conservative group.After PC,patients were divided into non-recurrence(n=37)and recurrence(n=10)groups,and the results showed that age was an independent correlation affecting ABP recurrence[odds ratio(OR)=0.937,95%confidence interval(CI):0.878-0.999;P=0.047<0.05].Patient outcomes were divided into non-lethal(n=47)and lethal(n=7)groups,and Charlson Comorbidity Index(CCI)was a risk factor for mortality(OR=2.397,95%CI:1.139-5.047;P=0.021<0.05).CCI was highly accurate in predicting death in MSABP(area under the curve=0.86>0.7).When the Youden index maximum was 0.565,the cut-off value was 5.5,the sensitivity was 71.4%,and the specificity was 85.1%.CONCLUSION PC is an important method in the early years(<72 hours)of MSABP.Age is a protective factor against recurrence of ABP.High pre-PC CCI is significantly associated with mortality.
