We do so much to prepare our children for the future,but are we doing enough to prepare the future for our children?To do so we must seek sustainability.Sustainability is a new way of thinking about an age-old concern...We do so much to prepare our children for the future,but are we doing enough to prepare the future for our children?To do so we must seek sustainability.Sustainability is a new way of thinking about an age-old concern:ensuring that our children and grandchildren inherit a tomorrow that is at least as good as today,preferably better.We want to make sure that the way we live our lives is sustainable that can continue and keep improving for long time.And since buildings produce half of all greenhouse gases and account for one-sixth of the world's freshwater withdrawals,one-quarter of its wood harvest and two fifths of its material and energy flows.By several estimates,we will double the size of the built environment over the next twenty to forty years.Therefore,there is a critical and immediate need to shift thinking on how the built environment is designed.To reduce environmental impact,protect public health and improve environmental equity and justice,we must change principles for building practice.Designers in general and architects in particular should play a high-profile leadership role in this transformation.展开更多
Celiac disease(CD)is a common autoimmune disorder where gluten ingestion triggers an immune response,damaging the small intestine in genetically pre-disposed individuals.Affecting around 1%of the global population,CD ...Celiac disease(CD)is a common autoimmune disorder where gluten ingestion triggers an immune response,damaging the small intestine in genetically pre-disposed individuals.Affecting around 1%of the global population,CD presents with diverse symptoms,including gastrointestinal issues like diarrhea and extraintestinal conditions such as anemia and osteoporosis,often complicating diagnosis.Advances in serology,histology,and genetic testing,such as HLA-DQ2/DQ8 analysis,have improved diagnostic accuracy.Precision medicine is transforming CD management by integrating genetic,clinical,and lifestyle data to enable risk prediction,personalized therapies,and improved outcomes.Tools like machine learning enhance early diagnosis,dietary management,and drug discovery,while electronic medical records support comprehensive patient pro-filing and disease monitoring.These technologies facilitate personalized health-care delivery tailored to individual patient profiles.展开更多
In a context where urban satellite image processing technologies are undergoing rapid evolution,this article presents an innovative and rigorous approach to satellite image classification applied to urban planning.Thi...In a context where urban satellite image processing technologies are undergoing rapid evolution,this article presents an innovative and rigorous approach to satellite image classification applied to urban planning.This research proposes an integrated methodological framework,based on the principles of model-driven engineering(MDE),to transform a generic meta-model into a meta-model specifically dedicated to urban satellite image classification.We implemented this transformation using the Atlas Transformation Language(ATL),guaranteeing a smooth and consistent transition from platform-independent model(PIM)to platform-specific model(PSM),according to the principles of model-driven architecture(MDA).The application of this IDM methodology enables advanced structuring of satellite data for targeted urban planning analyses,making it possible to classify various urban zones such as built-up,cultivated,arid and water areas.The novelty of this approach lies in the automation and standardization of the classification process,which significantly reduces the need for manual intervention,and thus improves the reliability,reproducibility and efficiency of urban data analysis.By adopting this method,decision-makers and urban planners are provided with a powerful tool for systematically and consistently analyzing and interpreting satellite images,facilitating decision-making in critical areas such as urban space management,infrastructure planning and environmental preservation.展开更多
The present study focuses on the flow of a yield-stress(Bingham)nanofluid,consisting of suspended Fe3O4 nanoparticles,subjected to a magnetic field in a backward-facing step duct(BFS)configuration.The duct is equipped...The present study focuses on the flow of a yield-stress(Bingham)nanofluid,consisting of suspended Fe3O4 nanoparticles,subjected to a magnetic field in a backward-facing step duct(BFS)configuration.The duct is equipped with a cylindrical obstacle,where the lower wall is kept at a constant temperature.The yield-stress nanofluid enters this duct at a cold temperature with fully developed velocity.The aim of the present investigation is to explore the influence of flow velocity(Re=10 to 200),nanoparticle concentration(ϕ=0 to 0.1),magnetic field intensity(Ha=0 to 100),and its inclination angle(γ=0 to 90)and nanofluid yield stress(Bn=0 to 20)on the thermal and hydrodynamic efficiency inside the backward-facing step.The numerical results have been obtained by resolving the momentum and energy balance equations using the Galerkin finite element method.The obtained results have indicated that an increase in Reynolds number and nanoparticle volume fraction enhances heat transfer.In contrast,a significant reduction is observed with an increase in Hartmann and Bingham numbers,resulting in quasi-immobilization of the fluid under the magnetic influence and radical solidification of this type of fluid,accompanied by the suppression of the vortex zone downstream of the cylindrical obstacle.This study sheds light on the complexity of this magnetically influenced fluid,with potential implications in various engineering and materials science fields.展开更多
BACKGROUND Single-balloon enteroscopy(SBE)is a minimally invasive procedure to assess and treat small bowel pathologies.The most common use is to detect suspected small bowel bleeding:Insignificant gastrointestinal(GI...BACKGROUND Single-balloon enteroscopy(SBE)is a minimally invasive procedure to assess and treat small bowel pathologies.The most common use is to detect suspected small bowel bleeding:Insignificant gastrointestinal(GI)bleeding or iron deficiency anaemia(IDA).The safety and feasibility of SBE in the elderly has not been adequately studied.AIM To assess the safety and feasibility of both antegrade and retrograde SBE in elderly patients.METHODS We performed a retrospective cohort study of all antegrade and retrograde SBE done at our center from March 2011 through May 2020.We collected patient’s data including demographics,indications,findings,therapeutic interventions,and complications.The cohort was divided into 3 groups:Patients younger than 65 years(group 1),patients 65-75 years(group 2),and patients older than 75 years(group 3).We used 1-way one way analysis of variance,aχ^(2) test,and logistic regression to compare study outcomes.The primary aim was to assess diagnostic yield,therapeutic yield and rates of complications from SBE among study groups.RESULTS A total of 284 SBE were performed in 227 patients.In the 227 patients,we analyzed 194 antegrade(19 in gastric bypass patients)and 33 retrograde procedures.Mean age was 62.0(SD:16.7),130 patients were women(57.3%),98 were Hispanic(43.4%),and mean body mass index was 28(SD:6.3).The number of patients in each group were:Group 1(117,51.3%),group 2(57,25.0%)and group 3(53,23.7%).Gender,ethnicity,body mass index and proportions of antegrade and retrograde were comparable between age groups.The most common indications for procedure were:Obscure GI bleeding(48%),IDA(48%),abdominal pain(14%),and others(abnormal capsule,43%;abnormal imaging,9.7%;diarrhea 5.3%).The elderly(group 3)were more likely to have GI bleed as the indication(42.7%,40.4%,67.9%,P=0.004)without difference in IDA(44.4%,56.1%,47.2%,P=0.35).Diagnostic yield was significantly higher in the elderly group(48.2%,53.7%,68.0%),particularly in antegrade(48.5%,53.3%,72.1%,P=0.033).Angioectasias were the most common finding(21.0%)and present more often in the elderly(10.9%,20.4%,44%)(P<0.001).Therapeutic interventions were also more in the elderly group(35.0%,33.3%,58.5%,P=0.007).There were only 2(0.9%)complications,including minor oropharyngeal hemorrhage and esophageal trauma and no deaths,with no difference among groups.CONCLUSION In a retrospective analysis of SBE,we found this procedure safe and feasible in the elderly.SBE has higher diagnostic and therapeutic yields in the elderly vs the other age groups,mainly because of the increased small bowel angioectasias.展开更多
Monitoring of the earth’s surface has been significantly improved thanks to optical remote sensing by satellites such as SPOT,Landsat and Sentinel-2,which produce vast datasets.The processing of this data,often refer...Monitoring of the earth’s surface has been significantly improved thanks to optical remote sensing by satellites such as SPOT,Landsat and Sentinel-2,which produce vast datasets.The processing of this data,often referred to as Big Data,is essential for decision-making,requiring the application of advanced algorithms to analyze changes in land cover.In the age of artificial intelligence,supervised machine learning algorithms are widely used,although their application in urban contexts remains complex.Researchers have to evaluate and tune various algorithms according to assumptions and experiments,which requires time and resources.This paper presents a meta-modeling approach for urban satellite image classification,using model-driven engineering techniques.The aim is to provide urban planners with standardized solutions for geospatial processing,promoting reusability and interoperability.Formalization includes the creation of a knowledge base and the modeling of processing chains to analyze land use.展开更多
This study prepared and characterized amphiphilic carboxymethyl cellulose stearate(CMCS)recycled from sugarcane bagasse agro-waste(SB).The Fourier-transform infrared(FTIR)analysis confirmed cellulose,carboxymethyl cel...This study prepared and characterized amphiphilic carboxymethyl cellulose stearate(CMCS)recycled from sugarcane bagasse agro-waste(SB).The Fourier-transform infrared(FTIR)analysis confirmed cellulose,carboxymethyl cellulose(CMC),and CMCS structures,with CMCS showing increased H-bonding.X-ray diffraction analysis(XRD)revealed reduced crystallinity in CMC and CMCS.CMCS exhibited a hydrophobic nature but dispersed in water,enabling nanoemulsion formation.Optimal nanoemulsion was achieved with CMCS1,showing a particle size of 99 nm.Transmission electron microscopy(TEM)images revealed CMC’s honeycomb structure,transforming into spherical particles in CMCS1.Antimicrobial tests demonstrated strong activity of CMCS formulations against Escherichia coli and Staphylococcus aureus,with CMCS3 exhibiting the highest efficacy.These findings highlight the potential of CMCS-based nanoemulsions for antimicrobial applications and nanoemulsification.展开更多
The valorization of nitrous oxide(N_(2)O)as an oxygen atom donor presents an attractive opportunity for green chemistry applications,leveraging both its industrial abundance and thermodynamically favorable oxidation p...The valorization of nitrous oxide(N_(2)O)as an oxygen atom donor presents an attractive opportunity for green chemistry applications,leveraging both its industrial abundance and thermodynamically favorable oxidation potential.However,practical implementation has been constrained by the inherent kinetic inertness and poor coordinating ability of N_(2)O.While prior studies achieved N_(2)O-mediated conversion of aryl halides to phenols,such transformations necessitated stoichiometric chemical reductants and elevated pressure(2 atm),posing challenges in operational safety and process scalability.This study focuses on an electrochemical strategy that enables efficient oxygen atom transfer under ambient pressure through controlled current application.This methodology facilitates the selective transformation of aryl iodides to phenols without external reducing agents,establishing an environmentally benign synthetic pathway.By replacing traditional chemical reductants with electrons as the sole reducing equivalent,our approach addresses critical sustainability challenges in aromatic oxygenation chemistry while maintaining operational simplicity under mild conditions.展开更多
Since the 1950s,when the Turing Test was introduced,there has been notable progress in machine language intelligence.Language modeling,crucial for AI development,has evolved from statistical to neural models over the ...Since the 1950s,when the Turing Test was introduced,there has been notable progress in machine language intelligence.Language modeling,crucial for AI development,has evolved from statistical to neural models over the last two decades.Recently,transformer-based Pre-trained Language Models(PLM)have excelled in Natural Language Processing(NLP)tasks by leveraging large-scale training corpora.Increasing the scale of these models enhances performance significantly,introducing abilities like context learning that smaller models lack.The advancement in Large Language Models,exemplified by the development of ChatGPT,has made significant impacts both academically and industrially,capturing widespread societal interest.This survey provides an overview of the development and prospects from Large Language Models(LLM)to Large Multimodal Models(LMM).It first discusses the contributions and technological advancements of LLMs in the field of natural language processing,especially in text generation and language understanding.Then,it turns to the discussion of LMMs,which integrates various data modalities such as text,images,and sound,demonstrating advanced capabilities in understanding and generating cross-modal content,paving new pathways for the adaptability and flexibility of AI systems.Finally,the survey highlights the prospects of LMMs in terms of technological development and application potential,while also pointing out challenges in data integration,cross-modal understanding accuracy,providing a comprehensive perspective on the latest developments in this field.展开更多
Cardiovascular diseases(CVDs)continue to present a leading cause ofmortalityworldwide,emphasizing the importance of early and accurate prediction.Electrocardiogram(ECG)signals,central to cardiac monitoring,have increa...Cardiovascular diseases(CVDs)continue to present a leading cause ofmortalityworldwide,emphasizing the importance of early and accurate prediction.Electrocardiogram(ECG)signals,central to cardiac monitoring,have increasingly been integratedwithDeep Learning(DL)for real-time prediction of CVDs.However,DL models are prone to performance degradation due to concept drift and to catastrophic forgetting.To address this issue,we propose a realtime CVDs prediction approach,referred to as ADWIN-GFR that combines Convolutional Neural Network(CNN)layers,for spatial feature extraction,with Gated Recurrent Units(GRU),for temporal modeling,alongside adaptive drift detection and mitigation mechanisms.The proposed approach integratesAdaptiveWindowing(ADWIN)for realtime concept drift detection,a fine-tuning strategy based on Generative Features Replay(GFR)to preserve previously acquired knowledge,and a dynamic replay buffer ensuring variance,diversity,and data distribution coverage.Extensive experiments conducted on the MIT-BIH arrhythmia dataset demonstrate that ADWIN-GFR outperforms standard fine-tuning techniques,achieving an average post-drift accuracy of 95.4%,amacro F1-score of 93.9%,and a remarkably low forgetting score of 0.9%.It also exhibits an average drift detection delay of 12 steps and achieves an adaptation gain of 17.2%.These findings underscore the potential of ADWIN-GFR for deployment in real-world cardiac monitoring systems,including wearable ECG devices and hospital-based patient monitoring platforms.展开更多
Duchenne muscular dystrophy (DMD) is a hereditary, progressive muscular disorder inherited in an X-linked recessive pattern (Xp21). It typically manifests in childhood and follows a severe, rapid progression. Only mal...Duchenne muscular dystrophy (DMD) is a hereditary, progressive muscular disorder inherited in an X-linked recessive pattern (Xp21). It typically manifests in childhood and follows a severe, rapid progression. Only males are affected, while females are usually carriers. Given the genetic nature of DMD, genetic counseling is an essential service for individuals affected by or at risk of carrying the disease. This service provides not only crucial medical information but also psychosocial support and ongoing management for both patients and their families. Since the discovery of the dystrophin gene in 1987, advancements in molecular genetics have made it possible to precisely identify the genes responsible for many neuromuscular diseases. These developments have revolutionized diagnosis, prognosis, and most importantly, genetic counseling, offering significant benefits for both patients and their families. To highlight the significance of these advancements, this case report focuses on a 10-year-old boy (Y) diagnosed with DMD. It emphasizes the familial nature of the disease, with Y’s two brothers, three cousins, and two maternal uncles also affected, underscoring the inherited pattern of DMD. This reinforces the critical need for early intervention, particularly in regions with high consanguinity, such as North Africa and the Middle East, where genetic counseling and prenatal diagnosis are even more essential. Additionally, the report explores the clinical presentation, diagnostic findings, and promising emerging treatments, including RNA-based therapies, which may play a key role in the future management of DMD. In light of the above, this study underscores the importance of prenatal diagnosis and genetic counseling, particularly in regions like Morocco, where consanguinity rates are notably high. By focusing on preconception care and early genetic intervention, families can be better informed, leading to more effective disease management and support.展开更多
Phosphoric acid is a key ingredient in fertilizer production and contains many rare earth elements(REEs).Recovering REEs from phosphoric acid can prevent the accumulation of these elements in the soil and help bridge ...Phosphoric acid is a key ingredient in fertilizer production and contains many rare earth elements(REEs).Recovering REEs from phosphoric acid can prevent the accumulation of these elements in the soil and help bridge the gap between supply and demand.In this concern,a new material called Si-6G PAMAMPPAAM dendrimers modified silica gel terminated with phenylphosphonic acid-amide moieties was developed and its ability to adsorb Nd(Ⅲ)and Er(Ⅲ)from the phosphoric acid solution was investigated.K inetics and isotherm of the uptake process were investigated to explo re the so rption characte ristics.The attained results show that both metal ions exhibit the same adsorption performance,and the uptake process is depicted as a chemisorption,monolayer,uniform,and homogeneous process.The equilibrium state is achieved within 120 min,and the maximum uptake capacity is 16.7 mg Nd(Ⅲ)/g,and 14.0 mg Er(Ⅲ)/g.Sorption thermodynamics is an endothermic,spontaneous,and feasible uptake process.Nitric acid(1.0 mol/L)is found to be efficient for adsorbing about 94.3%and 92.5%of neodymium(Ⅲ)and erbium(Ⅲ)respectively,and the prepared Si-6G PAMAM-PPAAM demonstrates excellent stability over five consecutive sorption/desorption cycles.Preliminary tests on commercial phosphoric acid demonstrate that Si-6G PAMAM-PPAAM retains its effective REEs uptake from a complex comm ercial phosph oric acid solution.展开更多
BACKGROUND Elevated liver enzymes in rheumatoid arthritis(RA)are often attributed to multiple factors including disease activity and treatment-related adverse effects.Tumor necrosis factor inhibitors(TNFi)have shown m...BACKGROUND Elevated liver enzymes in rheumatoid arthritis(RA)are often attributed to multiple factors including disease activity and treatment-related adverse effects.Tumor necrosis factor inhibitors(TNFi)have shown mixed effects on liver function,with varying safety profiles among agents.AIM To evaluate the hepatic safety of TNFi therapy—etanercept and adalimumab—in RA patients with elevated liver enzymes.METHODS A retrospective chart review was conducted for RA patients with elevated liver enzymes receiving TNFi at a single center between January 1,2019,and September 30,2024.Out of the patients screened,9 met the inclusion criteria.Trends in liver enzymes,fibrosis-4(FIB-4)score,and changes in the Child-Pugh class were analyzed at 1-year and 3-year follow-up periods.RESULTS Among 9 patients(4 on adalimumab,5 on etanercept),the median age was 56 years[interquartile range(IQR):49.5–64.5 years],77.8%were female,and the median body mass index was 36.99 kg/m²(IQR:30.95–43.43 kg/m²).Median baseline FIB-4 was 1.25(IQR:1.02–1.65),with no cirrhosis observed at baseline.Aspartate aminotransferase,alanine aminotransferase,and alkaline phosphatase levels declined consistently,with significant reductions from baseline to 3 years(P=0.003).FIB-4 scores also significantly decreased(P=0.003),while albumin,bilirubin,and Child-Pugh class remained stable at the 3-year follow-up.At 3 years,66.7%achieved RA remission(P=0.03).CONCLUSION TNFi therapy(adalimumab or etanercept)was associated with significant improvement in liver enzymes and FIB-4 without hepatic decompensation,supporting its safety in our cohort of RA patients with liver involvement.Larger prospective studies are warranted to further validate these findings.展开更多
This research study focuses on predicting ferrofluids’viscosity using machine learning models,artificial neural networks(ANNs),and random forests(RFs)incorporating key parameters;ferrofluid type,concentration of magn...This research study focuses on predicting ferrofluids’viscosity using machine learning models,artificial neural networks(ANNs),and random forests(RFs)incorporating key parameters;ferrofluid type,concentration of magnetic nanoparticles,temperature,and magnetic field intensity as inputs.A comprehensive database of 333 datasets sourced from various literatures was utilized for training and validating models.The ANN model demonstrated high accuracy,with root mean square error(RMSE)values below 0.033 and mean absolute percentage error(MAPE)not exceeding 3.01%,while the RF model achieved similar accuracy with RMSE under 0.052 and MAPE below 4.82%.Maximum deviations observed were 9.14%for ANN and 16.48%for RF,confirming that both models accurately learned the underlying patterns without overestimating viscosity.Additionally,the ANN model successfully captured intricate physical relationships between input parameters and viscosity when it was used to predict viscosity for random input data,confirming its ability to generalize beyond the training dataset.The RF model,however,showed limitations in extrapolating beyond the range of the training data.This research study demonstrates machine learning models’effectiveness in capturing intricate relationships governing the viscosity of ferrofluid for different types,paving the way for an improved understanding of ferrofluid’s viscosity behavior.展开更多
This research aims to investigate the potential of a plant cellulose developed from Opuntia ficus-indica(OFI)cladode as a sustainable and renewable adsorbent for the removal of neutral red(NR),a cationic dye pollutant...This research aims to investigate the potential of a plant cellulose developed from Opuntia ficus-indica(OFI)cladode as a sustainable and renewable adsorbent for the removal of neutral red(NR),a cationic dye pollutant,from aqueous environments.Analysis of raw and treated OFI using X-ray diffraction(XRD),scanning electron microscopy(SEM),and Fourier Transform Infrared Spectroscopy(FTIR)demonstrated the successful extraction of type I_(β)cellulose.The Brunauer–Emmett–Teller(BET)analysis of the nitrogen adsorption-desorption isotherm revealed an improved specific surface area of 12.4 m^(2)/g after treatment.A systematic study of key parameters in batch adsorption experiments revealed removal rates greater than 90%at pH=3,an adsorbent dosage of 3 g/L and an initial dye concentration of 100 mg/L with equilibrium achieved within 2 h.The high correlation coefficient(R^(2)=0.98)obtained with the Langmuir isotherm model suggests that the adsorption behavior is consistent with monolayer surface adsorption.A maximum adsorption capacity(Qm)of 357.1 mg/g for neutral red dye was achieved,demonstrating a significant adsorption capacity relative to other materials such as chitosan-modified activated carbon and halloysite nanotubes.The pseudo-second-order model effectively described the kinetics of the adsorption phenomena.Thermodynamic analysis revealed an exothermic and spontaneous adsorption process,with an enthalpy change(ΔH)of−24.886 kJ/mol,indicative of predominantly physisorption-driven interactions.Moreover,the regenerated cellulose exhibited a retention of over 70%efficiency after multiple adsorption-desorption cycles,highlighting its potential as an excellent reusable adsorbent.The outcomes of this research present an environmentally conscious alternative to synthetic adsorbents,facilitating the effective NR dye removal through renewable and sustainable means.展开更多
The present study investigates the influence of friction time on the microstructural and mechanical properties of friction-welded joints for Ni-Cr-Mo steel(AISI 316)using the continuous drive friction welding(CDFW)pro...The present study investigates the influence of friction time on the microstructural and mechanical properties of friction-welded joints for Ni-Cr-Mo steel(AISI 316)using the continuous drive friction welding(CDFW)process.The research encompasses macro-and microstructural analysis,microhardness measurements along the axial direction and at the interface,tensile testing with effect-ive diameters of 4 mm and 6 mm,and compression testing at angles of 0°,45°,and 90°using specimens with dimensions of 4 mm in diameter and 6.5 mm in length.Additionally,impact tests were performed in symmetric and non-symmetric positions.The findings reveal that increasing friction time leads to the formation of a pronounced flash on the stationary side compared to the rotating side.Microstructural analysis shows fine grains in the highly plastically deformed zone(HPDZ)at the interface and elongated grains in the thermo-mechanically affected zone(TMAZ).At longer friction times(10 s),microhardness values reached approximately 300 HV0.1 at the welding interface,decreasing to 240-230 HV0.1 in adjacent regions.At shorter friction times(6.5 s),microhardness values were moderately lower,ranging from 260 HV0.1 to 240 HV0.1 at the interface and neighboring areas.For 6 mm diameter specimens,ulti-mate tensile strength(UTS)decreased with increasing friction time,reaching its lowest value at 8.5 s,while 4 mm diameter speci-mens exhibited a linear reduction in UTS with longer friction times.Compression tests demonstrated the highest yield strength at 0°,with values decreasing as friction time increased,indicating anisotropy in AISI 316 under friction time influence.Impact strength de-clined in non-symmetric positions compared to symmetric ones as friction time increased.展开更多
The primary objective of this study is to develop an innovative theoretical model to accurately predict the thermophysicalproperties of hybrid nanofluids designed to enhance cooling in solar panel applications.This re...The primary objective of this study is to develop an innovative theoretical model to accurately predict the thermophysicalproperties of hybrid nanofluids designed to enhance cooling in solar panel applications.This researchlays the groundwork for our future studies,which will focus on photovoltaic thermal applications.These nanofluidsconsist of water and nanoparticles of alumina(Al_(2)O_(3)),titanium dioxide(TiO_(2)),and copper(Cu),exploringvolumetric concentrations ranging from 0%to 4%for each type of nanoparticle,and up to 10%for total mixtures.The developed model accounts for complex interactions between the nanoparticles and the base fluid,as well assynergistic effects resulting from the coexistence of different nanoparticles.Detailed simulations have shownexceptional agreement with experimental results,reinforcing the credibility of our approach in accurately capturingthe thermophysical behavior of these hybrid nanofluids.Based on these results,our study proposes significantadvancements in the design and optimization of nanofluids for cooling applications in solar panels.These developmentsare crucial for improving the efficiency of solar installations by mitigating overheating effects,providinga solid foundation for practical applications in this rapidly evolving field.展开更多
Population growth and the industrial production modernization have generated considerable water needs.This consumption has led to a disproportionate discharge of untreated wastewater,directly into receiving environmen...Population growth and the industrial production modernization have generated considerable water needs.This consumption has led to a disproportionate discharge of untreated wastewater,directly into receiving environments(Oceans,Rivers,Lakes,Surfaces waters,etc.)and leads to thus promote the spread of waters-borne diseases.The main objective of our present work is the description of the pollutant load of wastewater from the city of Mechraa Belksiri(Kénitra-Morocco),to classify them and identify their composition and their intensity to seek an adequate treatment allowing their subsequent reuse and reducing their dangerousness on their receiving environment Oued Sebou.The analysis of temperature,pH,redox potential,electrical conductivity,dissolved oxygen and salinity are recorded in the field using a portable multiparametric analyzer.The wastewater samples intended for analysis in the laboratory were preserved following the general conservation protocol and handling of samples according to ISO 5667/3.Total Suspended Solids(TSS)are measured by filtration.The analysis of the BOD5 is determined using a BODmeter and the COD,according to DIN 38409-H52.Wastewater from Belksiri town has a pH of 7.2 and an average temperature of 20.5℃ and an electrical conductivity of 3145μs/cm.The average concentration of oxygen is very weak at 0.35 mg/L.Wastewater is loaded with organic matter estimated by Suspended Solid matter(average 446 mg/L),BOD5(280 mg/L)and COD(557 mg/L).The overall pollutant load of wastewater presents satisfactory biodegradability and is well prepared for suitable biological treatment with activated sludge plant.展开更多
Nickel(Ni)toxicity significantly impairs plant growth,photosynthesis,and metabolism by inducing oxidative stress.This study evaluates the potential of exogenous Alpha-Ketoglutarate(AKG)in mitigating Ni-induced stress ...Nickel(Ni)toxicity significantly impairs plant growth,photosynthesis,and metabolism by inducing oxidative stress.This study evaluates the potential of exogenous Alpha-Ketoglutarate(AKG)in mitigating Ni-induced stress in Peganum harmala L.Seedlings were exposed to 0,200,500,and 750μM NiCl2,with or without AKG supplementation.Under 750μM Ni stress,dry weight(DW)decreased by 33.7%,tissue water content(TWC)by 39.9%,and chlorophyll a and total chlorophyll levels were reduced by 17%and 15%,respectively.Ni exposure also significantly increased secondary metabolite production,with leaf anthocyanin content rising by 131%,and superoxide dismutase(SOD)and catalase(CAT)activities increasing by 228%and 53%,respectively,in roots at 500μM Ni.AKG treatment alleviated Ni toxicity by enhancing TWC by 39%and promoting root and shoot growth.Additionally,AKG treatment boosted the synthesis of phenolic compounds and flavonoids,contributing to improved tolerance against Ni stress.These findings demonstrate the potential of AKG in enhancing Ni tolerance in P.harmala,suggesting its promising role in bioremediation of metal-contaminated soils.This is the first study to report the beneficial effects of exogenous AKG in alleviating nickel toxicity in P.harmala L.,offering a new approach for improving plant resilience to heavy metal stress.展开更多
In this study,Opuntia ficus-indica cladode powder(OFIC),locally sourced from Rabta in Tunis,was utilized as a novel,eco-friendly adsorbent in both raw and iron(III)chloride-modified forms.The presence of iron in the m...In this study,Opuntia ficus-indica cladode powder(OFIC),locally sourced from Rabta in Tunis,was utilized as a novel,eco-friendly adsorbent in both raw and iron(III)chloride-modified forms.The presence of iron in the modified material was confirmed by X-ray fluorescence spectroscopy(XRF).The neat and modified biomass were characterized by X-ray diffraction(XRD),Fourier Transform Infrared Spectroscopy(FTIR),thermogravimetric analysis(TGA)and scanning electron microscopy(SEM),and their usefulness as adsorbent for cationic Neutral Red(NR)and anionic Congo Red(CR)dyes were explored under batch conditions.Equilibrium studies revealed that the iron-modified Fe(OH)_(x)@Cellulose adsorbent exhibited superior adsorption capabilities for both dyes compared to the raw material.Moreover,CR dye was more effectively adsorbed by Fe(OH)_(x)@Cellulose than NR.The adsorption isotherms for both dyes were fitted.The results demonstrated that the adsorption of both NR and CR dyes onto the biosorbent Fe(OH)_(x)@Cellulose was closely followed by the Langmuir model,with R^(2) values of 0.980 and 0.973 for NR and CR,respectively,and the pseudo-second-order kinetic model better depicted the adsorption kinetic.Thermodynamic analysis revealed a negative enthalpy value(−67.15 kJ/mol)forNR adsorption,suggesting an exothermic process,while a positive enthalpy value(3.99 kJ/mol)was observed for CR adsorption,indicating an endothermic process.展开更多
文摘We do so much to prepare our children for the future,but are we doing enough to prepare the future for our children?To do so we must seek sustainability.Sustainability is a new way of thinking about an age-old concern:ensuring that our children and grandchildren inherit a tomorrow that is at least as good as today,preferably better.We want to make sure that the way we live our lives is sustainable that can continue and keep improving for long time.And since buildings produce half of all greenhouse gases and account for one-sixth of the world's freshwater withdrawals,one-quarter of its wood harvest and two fifths of its material and energy flows.By several estimates,we will double the size of the built environment over the next twenty to forty years.Therefore,there is a critical and immediate need to shift thinking on how the built environment is designed.To reduce environmental impact,protect public health and improve environmental equity and justice,we must change principles for building practice.Designers in general and architects in particular should play a high-profile leadership role in this transformation.
文摘Celiac disease(CD)is a common autoimmune disorder where gluten ingestion triggers an immune response,damaging the small intestine in genetically pre-disposed individuals.Affecting around 1%of the global population,CD presents with diverse symptoms,including gastrointestinal issues like diarrhea and extraintestinal conditions such as anemia and osteoporosis,often complicating diagnosis.Advances in serology,histology,and genetic testing,such as HLA-DQ2/DQ8 analysis,have improved diagnostic accuracy.Precision medicine is transforming CD management by integrating genetic,clinical,and lifestyle data to enable risk prediction,personalized therapies,and improved outcomes.Tools like machine learning enhance early diagnosis,dietary management,and drug discovery,while electronic medical records support comprehensive patient pro-filing and disease monitoring.These technologies facilitate personalized health-care delivery tailored to individual patient profiles.
文摘In a context where urban satellite image processing technologies are undergoing rapid evolution,this article presents an innovative and rigorous approach to satellite image classification applied to urban planning.This research proposes an integrated methodological framework,based on the principles of model-driven engineering(MDE),to transform a generic meta-model into a meta-model specifically dedicated to urban satellite image classification.We implemented this transformation using the Atlas Transformation Language(ATL),guaranteeing a smooth and consistent transition from platform-independent model(PIM)to platform-specific model(PSM),according to the principles of model-driven architecture(MDA).The application of this IDM methodology enables advanced structuring of satellite data for targeted urban planning analyses,making it possible to classify various urban zones such as built-up,cultivated,arid and water areas.The novelty of this approach lies in the automation and standardization of the classification process,which significantly reduces the need for manual intervention,and thus improves the reliability,reproducibility and efficiency of urban data analysis.By adopting this method,decision-makers and urban planners are provided with a powerful tool for systematically and consistently analyzing and interpreting satellite images,facilitating decision-making in critical areas such as urban space management,infrastructure planning and environmental preservation.
文摘The present study focuses on the flow of a yield-stress(Bingham)nanofluid,consisting of suspended Fe3O4 nanoparticles,subjected to a magnetic field in a backward-facing step duct(BFS)configuration.The duct is equipped with a cylindrical obstacle,where the lower wall is kept at a constant temperature.The yield-stress nanofluid enters this duct at a cold temperature with fully developed velocity.The aim of the present investigation is to explore the influence of flow velocity(Re=10 to 200),nanoparticle concentration(ϕ=0 to 0.1),magnetic field intensity(Ha=0 to 100),and its inclination angle(γ=0 to 90)and nanofluid yield stress(Bn=0 to 20)on the thermal and hydrodynamic efficiency inside the backward-facing step.The numerical results have been obtained by resolving the momentum and energy balance equations using the Galerkin finite element method.The obtained results have indicated that an increase in Reynolds number and nanoparticle volume fraction enhances heat transfer.In contrast,a significant reduction is observed with an increase in Hartmann and Bingham numbers,resulting in quasi-immobilization of the fluid under the magnetic influence and radical solidification of this type of fluid,accompanied by the suppression of the vortex zone downstream of the cylindrical obstacle.This study sheds light on the complexity of this magnetically influenced fluid,with potential implications in various engineering and materials science fields.
文摘BACKGROUND Single-balloon enteroscopy(SBE)is a minimally invasive procedure to assess and treat small bowel pathologies.The most common use is to detect suspected small bowel bleeding:Insignificant gastrointestinal(GI)bleeding or iron deficiency anaemia(IDA).The safety and feasibility of SBE in the elderly has not been adequately studied.AIM To assess the safety and feasibility of both antegrade and retrograde SBE in elderly patients.METHODS We performed a retrospective cohort study of all antegrade and retrograde SBE done at our center from March 2011 through May 2020.We collected patient’s data including demographics,indications,findings,therapeutic interventions,and complications.The cohort was divided into 3 groups:Patients younger than 65 years(group 1),patients 65-75 years(group 2),and patients older than 75 years(group 3).We used 1-way one way analysis of variance,aχ^(2) test,and logistic regression to compare study outcomes.The primary aim was to assess diagnostic yield,therapeutic yield and rates of complications from SBE among study groups.RESULTS A total of 284 SBE were performed in 227 patients.In the 227 patients,we analyzed 194 antegrade(19 in gastric bypass patients)and 33 retrograde procedures.Mean age was 62.0(SD:16.7),130 patients were women(57.3%),98 were Hispanic(43.4%),and mean body mass index was 28(SD:6.3).The number of patients in each group were:Group 1(117,51.3%),group 2(57,25.0%)and group 3(53,23.7%).Gender,ethnicity,body mass index and proportions of antegrade and retrograde were comparable between age groups.The most common indications for procedure were:Obscure GI bleeding(48%),IDA(48%),abdominal pain(14%),and others(abnormal capsule,43%;abnormal imaging,9.7%;diarrhea 5.3%).The elderly(group 3)were more likely to have GI bleed as the indication(42.7%,40.4%,67.9%,P=0.004)without difference in IDA(44.4%,56.1%,47.2%,P=0.35).Diagnostic yield was significantly higher in the elderly group(48.2%,53.7%,68.0%),particularly in antegrade(48.5%,53.3%,72.1%,P=0.033).Angioectasias were the most common finding(21.0%)and present more often in the elderly(10.9%,20.4%,44%)(P<0.001).Therapeutic interventions were also more in the elderly group(35.0%,33.3%,58.5%,P=0.007).There were only 2(0.9%)complications,including minor oropharyngeal hemorrhage and esophageal trauma and no deaths,with no difference among groups.CONCLUSION In a retrospective analysis of SBE,we found this procedure safe and feasible in the elderly.SBE has higher diagnostic and therapeutic yields in the elderly vs the other age groups,mainly because of the increased small bowel angioectasias.
文摘Monitoring of the earth’s surface has been significantly improved thanks to optical remote sensing by satellites such as SPOT,Landsat and Sentinel-2,which produce vast datasets.The processing of this data,often referred to as Big Data,is essential for decision-making,requiring the application of advanced algorithms to analyze changes in land cover.In the age of artificial intelligence,supervised machine learning algorithms are widely used,although their application in urban contexts remains complex.Researchers have to evaluate and tune various algorithms according to assumptions and experiments,which requires time and resources.This paper presents a meta-modeling approach for urban satellite image classification,using model-driven engineering techniques.The aim is to provide urban planners with standardized solutions for geospatial processing,promoting reusability and interoperability.Formalization includes the creation of a knowledge base and the modeling of processing chains to analyze land use.
文摘This study prepared and characterized amphiphilic carboxymethyl cellulose stearate(CMCS)recycled from sugarcane bagasse agro-waste(SB).The Fourier-transform infrared(FTIR)analysis confirmed cellulose,carboxymethyl cellulose(CMC),and CMCS structures,with CMCS showing increased H-bonding.X-ray diffraction analysis(XRD)revealed reduced crystallinity in CMC and CMCS.CMCS exhibited a hydrophobic nature but dispersed in water,enabling nanoemulsion formation.Optimal nanoemulsion was achieved with CMCS1,showing a particle size of 99 nm.Transmission electron microscopy(TEM)images revealed CMC’s honeycomb structure,transforming into spherical particles in CMCS1.Antimicrobial tests demonstrated strong activity of CMCS formulations against Escherichia coli and Staphylococcus aureus,with CMCS3 exhibiting the highest efficacy.These findings highlight the potential of CMCS-based nanoemulsions for antimicrobial applications and nanoemulsification.
基金National Natural Science Foundation of China(Project No.:52320105003,Project No.:52303019)the CAS-ANSO Co-funding Research Project(Project No.:CAS-ANSO-CF-2024)+2 种基金the National Key R&D Program of China(Project No.:2023YFC3707201)the Fundamental Research Funds for the Central Universities(Project No.:E3ET1803)China Postdoctoral Science Foundation(Project No:2024T170904)。
文摘The valorization of nitrous oxide(N_(2)O)as an oxygen atom donor presents an attractive opportunity for green chemistry applications,leveraging both its industrial abundance and thermodynamically favorable oxidation potential.However,practical implementation has been constrained by the inherent kinetic inertness and poor coordinating ability of N_(2)O.While prior studies achieved N_(2)O-mediated conversion of aryl halides to phenols,such transformations necessitated stoichiometric chemical reductants and elevated pressure(2 atm),posing challenges in operational safety and process scalability.This study focuses on an electrochemical strategy that enables efficient oxygen atom transfer under ambient pressure through controlled current application.This methodology facilitates the selective transformation of aryl iodides to phenols without external reducing agents,establishing an environmentally benign synthetic pathway.By replacing traditional chemical reductants with electrons as the sole reducing equivalent,our approach addresses critical sustainability challenges in aromatic oxygenation chemistry while maintaining operational simplicity under mild conditions.
基金We acknowledge funding from NSFC Grant 62306283.
文摘Since the 1950s,when the Turing Test was introduced,there has been notable progress in machine language intelligence.Language modeling,crucial for AI development,has evolved from statistical to neural models over the last two decades.Recently,transformer-based Pre-trained Language Models(PLM)have excelled in Natural Language Processing(NLP)tasks by leveraging large-scale training corpora.Increasing the scale of these models enhances performance significantly,introducing abilities like context learning that smaller models lack.The advancement in Large Language Models,exemplified by the development of ChatGPT,has made significant impacts both academically and industrially,capturing widespread societal interest.This survey provides an overview of the development and prospects from Large Language Models(LLM)to Large Multimodal Models(LMM).It first discusses the contributions and technological advancements of LLMs in the field of natural language processing,especially in text generation and language understanding.Then,it turns to the discussion of LMMs,which integrates various data modalities such as text,images,and sound,demonstrating advanced capabilities in understanding and generating cross-modal content,paving new pathways for the adaptability and flexibility of AI systems.Finally,the survey highlights the prospects of LMMs in terms of technological development and application potential,while also pointing out challenges in data integration,cross-modal understanding accuracy,providing a comprehensive perspective on the latest developments in this field.
基金supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R196)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘Cardiovascular diseases(CVDs)continue to present a leading cause ofmortalityworldwide,emphasizing the importance of early and accurate prediction.Electrocardiogram(ECG)signals,central to cardiac monitoring,have increasingly been integratedwithDeep Learning(DL)for real-time prediction of CVDs.However,DL models are prone to performance degradation due to concept drift and to catastrophic forgetting.To address this issue,we propose a realtime CVDs prediction approach,referred to as ADWIN-GFR that combines Convolutional Neural Network(CNN)layers,for spatial feature extraction,with Gated Recurrent Units(GRU),for temporal modeling,alongside adaptive drift detection and mitigation mechanisms.The proposed approach integratesAdaptiveWindowing(ADWIN)for realtime concept drift detection,a fine-tuning strategy based on Generative Features Replay(GFR)to preserve previously acquired knowledge,and a dynamic replay buffer ensuring variance,diversity,and data distribution coverage.Extensive experiments conducted on the MIT-BIH arrhythmia dataset demonstrate that ADWIN-GFR outperforms standard fine-tuning techniques,achieving an average post-drift accuracy of 95.4%,amacro F1-score of 93.9%,and a remarkably low forgetting score of 0.9%.It also exhibits an average drift detection delay of 12 steps and achieves an adaptation gain of 17.2%.These findings underscore the potential of ADWIN-GFR for deployment in real-world cardiac monitoring systems,including wearable ECG devices and hospital-based patient monitoring platforms.
文摘Duchenne muscular dystrophy (DMD) is a hereditary, progressive muscular disorder inherited in an X-linked recessive pattern (Xp21). It typically manifests in childhood and follows a severe, rapid progression. Only males are affected, while females are usually carriers. Given the genetic nature of DMD, genetic counseling is an essential service for individuals affected by or at risk of carrying the disease. This service provides not only crucial medical information but also psychosocial support and ongoing management for both patients and their families. Since the discovery of the dystrophin gene in 1987, advancements in molecular genetics have made it possible to precisely identify the genes responsible for many neuromuscular diseases. These developments have revolutionized diagnosis, prognosis, and most importantly, genetic counseling, offering significant benefits for both patients and their families. To highlight the significance of these advancements, this case report focuses on a 10-year-old boy (Y) diagnosed with DMD. It emphasizes the familial nature of the disease, with Y’s two brothers, three cousins, and two maternal uncles also affected, underscoring the inherited pattern of DMD. This reinforces the critical need for early intervention, particularly in regions with high consanguinity, such as North Africa and the Middle East, where genetic counseling and prenatal diagnosis are even more essential. Additionally, the report explores the clinical presentation, diagnostic findings, and promising emerging treatments, including RNA-based therapies, which may play a key role in the future management of DMD. In light of the above, this study underscores the importance of prenatal diagnosis and genetic counseling, particularly in regions like Morocco, where consanguinity rates are notably high. By focusing on preconception care and early genetic intervention, families can be better informed, leading to more effective disease management and support.
文摘Phosphoric acid is a key ingredient in fertilizer production and contains many rare earth elements(REEs).Recovering REEs from phosphoric acid can prevent the accumulation of these elements in the soil and help bridge the gap between supply and demand.In this concern,a new material called Si-6G PAMAMPPAAM dendrimers modified silica gel terminated with phenylphosphonic acid-amide moieties was developed and its ability to adsorb Nd(Ⅲ)and Er(Ⅲ)from the phosphoric acid solution was investigated.K inetics and isotherm of the uptake process were investigated to explo re the so rption characte ristics.The attained results show that both metal ions exhibit the same adsorption performance,and the uptake process is depicted as a chemisorption,monolayer,uniform,and homogeneous process.The equilibrium state is achieved within 120 min,and the maximum uptake capacity is 16.7 mg Nd(Ⅲ)/g,and 14.0 mg Er(Ⅲ)/g.Sorption thermodynamics is an endothermic,spontaneous,and feasible uptake process.Nitric acid(1.0 mol/L)is found to be efficient for adsorbing about 94.3%and 92.5%of neodymium(Ⅲ)and erbium(Ⅲ)respectively,and the prepared Si-6G PAMAM-PPAAM demonstrates excellent stability over five consecutive sorption/desorption cycles.Preliminary tests on commercial phosphoric acid demonstrate that Si-6G PAMAM-PPAAM retains its effective REEs uptake from a complex comm ercial phosph oric acid solution.
文摘BACKGROUND Elevated liver enzymes in rheumatoid arthritis(RA)are often attributed to multiple factors including disease activity and treatment-related adverse effects.Tumor necrosis factor inhibitors(TNFi)have shown mixed effects on liver function,with varying safety profiles among agents.AIM To evaluate the hepatic safety of TNFi therapy—etanercept and adalimumab—in RA patients with elevated liver enzymes.METHODS A retrospective chart review was conducted for RA patients with elevated liver enzymes receiving TNFi at a single center between January 1,2019,and September 30,2024.Out of the patients screened,9 met the inclusion criteria.Trends in liver enzymes,fibrosis-4(FIB-4)score,and changes in the Child-Pugh class were analyzed at 1-year and 3-year follow-up periods.RESULTS Among 9 patients(4 on adalimumab,5 on etanercept),the median age was 56 years[interquartile range(IQR):49.5–64.5 years],77.8%were female,and the median body mass index was 36.99 kg/m²(IQR:30.95–43.43 kg/m²).Median baseline FIB-4 was 1.25(IQR:1.02–1.65),with no cirrhosis observed at baseline.Aspartate aminotransferase,alanine aminotransferase,and alkaline phosphatase levels declined consistently,with significant reductions from baseline to 3 years(P=0.003).FIB-4 scores also significantly decreased(P=0.003),while albumin,bilirubin,and Child-Pugh class remained stable at the 3-year follow-up.At 3 years,66.7%achieved RA remission(P=0.03).CONCLUSION TNFi therapy(adalimumab or etanercept)was associated with significant improvement in liver enzymes and FIB-4 without hepatic decompensation,supporting its safety in our cohort of RA patients with liver involvement.Larger prospective studies are warranted to further validate these findings.
文摘This research study focuses on predicting ferrofluids’viscosity using machine learning models,artificial neural networks(ANNs),and random forests(RFs)incorporating key parameters;ferrofluid type,concentration of magnetic nanoparticles,temperature,and magnetic field intensity as inputs.A comprehensive database of 333 datasets sourced from various literatures was utilized for training and validating models.The ANN model demonstrated high accuracy,with root mean square error(RMSE)values below 0.033 and mean absolute percentage error(MAPE)not exceeding 3.01%,while the RF model achieved similar accuracy with RMSE under 0.052 and MAPE below 4.82%.Maximum deviations observed were 9.14%for ANN and 16.48%for RF,confirming that both models accurately learned the underlying patterns without overestimating viscosity.Additionally,the ANN model successfully captured intricate physical relationships between input parameters and viscosity when it was used to predict viscosity for random input data,confirming its ability to generalize beyond the training dataset.The RF model,however,showed limitations in extrapolating beyond the range of the training data.This research study demonstrates machine learning models’effectiveness in capturing intricate relationships governing the viscosity of ferrofluid for different types,paving the way for an improved understanding of ferrofluid’s viscosity behavior.
文摘This research aims to investigate the potential of a plant cellulose developed from Opuntia ficus-indica(OFI)cladode as a sustainable and renewable adsorbent for the removal of neutral red(NR),a cationic dye pollutant,from aqueous environments.Analysis of raw and treated OFI using X-ray diffraction(XRD),scanning electron microscopy(SEM),and Fourier Transform Infrared Spectroscopy(FTIR)demonstrated the successful extraction of type I_(β)cellulose.The Brunauer–Emmett–Teller(BET)analysis of the nitrogen adsorption-desorption isotherm revealed an improved specific surface area of 12.4 m^(2)/g after treatment.A systematic study of key parameters in batch adsorption experiments revealed removal rates greater than 90%at pH=3,an adsorbent dosage of 3 g/L and an initial dye concentration of 100 mg/L with equilibrium achieved within 2 h.The high correlation coefficient(R^(2)=0.98)obtained with the Langmuir isotherm model suggests that the adsorption behavior is consistent with monolayer surface adsorption.A maximum adsorption capacity(Qm)of 357.1 mg/g for neutral red dye was achieved,demonstrating a significant adsorption capacity relative to other materials such as chitosan-modified activated carbon and halloysite nanotubes.The pseudo-second-order model effectively described the kinetics of the adsorption phenomena.Thermodynamic analysis revealed an exothermic and spontaneous adsorption process,with an enthalpy change(ΔH)of−24.886 kJ/mol,indicative of predominantly physisorption-driven interactions.Moreover,the regenerated cellulose exhibited a retention of over 70%efficiency after multiple adsorption-desorption cycles,highlighting its potential as an excellent reusable adsorbent.The outcomes of this research present an environmentally conscious alternative to synthetic adsorbents,facilitating the effective NR dye removal through renewable and sustainable means.
文摘The present study investigates the influence of friction time on the microstructural and mechanical properties of friction-welded joints for Ni-Cr-Mo steel(AISI 316)using the continuous drive friction welding(CDFW)process.The research encompasses macro-and microstructural analysis,microhardness measurements along the axial direction and at the interface,tensile testing with effect-ive diameters of 4 mm and 6 mm,and compression testing at angles of 0°,45°,and 90°using specimens with dimensions of 4 mm in diameter and 6.5 mm in length.Additionally,impact tests were performed in symmetric and non-symmetric positions.The findings reveal that increasing friction time leads to the formation of a pronounced flash on the stationary side compared to the rotating side.Microstructural analysis shows fine grains in the highly plastically deformed zone(HPDZ)at the interface and elongated grains in the thermo-mechanically affected zone(TMAZ).At longer friction times(10 s),microhardness values reached approximately 300 HV0.1 at the welding interface,decreasing to 240-230 HV0.1 in adjacent regions.At shorter friction times(6.5 s),microhardness values were moderately lower,ranging from 260 HV0.1 to 240 HV0.1 at the interface and neighboring areas.For 6 mm diameter specimens,ulti-mate tensile strength(UTS)decreased with increasing friction time,reaching its lowest value at 8.5 s,while 4 mm diameter speci-mens exhibited a linear reduction in UTS with longer friction times.Compression tests demonstrated the highest yield strength at 0°,with values decreasing as friction time increased,indicating anisotropy in AISI 316 under friction time influence.Impact strength de-clined in non-symmetric positions compared to symmetric ones as friction time increased.
文摘The primary objective of this study is to develop an innovative theoretical model to accurately predict the thermophysicalproperties of hybrid nanofluids designed to enhance cooling in solar panel applications.This researchlays the groundwork for our future studies,which will focus on photovoltaic thermal applications.These nanofluidsconsist of water and nanoparticles of alumina(Al_(2)O_(3)),titanium dioxide(TiO_(2)),and copper(Cu),exploringvolumetric concentrations ranging from 0%to 4%for each type of nanoparticle,and up to 10%for total mixtures.The developed model accounts for complex interactions between the nanoparticles and the base fluid,as well assynergistic effects resulting from the coexistence of different nanoparticles.Detailed simulations have shownexceptional agreement with experimental results,reinforcing the credibility of our approach in accurately capturingthe thermophysical behavior of these hybrid nanofluids.Based on these results,our study proposes significantadvancements in the design and optimization of nanofluids for cooling applications in solar panels.These developmentsare crucial for improving the efficiency of solar installations by mitigating overheating effects,providinga solid foundation for practical applications in this rapidly evolving field.
文摘Population growth and the industrial production modernization have generated considerable water needs.This consumption has led to a disproportionate discharge of untreated wastewater,directly into receiving environments(Oceans,Rivers,Lakes,Surfaces waters,etc.)and leads to thus promote the spread of waters-borne diseases.The main objective of our present work is the description of the pollutant load of wastewater from the city of Mechraa Belksiri(Kénitra-Morocco),to classify them and identify their composition and their intensity to seek an adequate treatment allowing their subsequent reuse and reducing their dangerousness on their receiving environment Oued Sebou.The analysis of temperature,pH,redox potential,electrical conductivity,dissolved oxygen and salinity are recorded in the field using a portable multiparametric analyzer.The wastewater samples intended for analysis in the laboratory were preserved following the general conservation protocol and handling of samples according to ISO 5667/3.Total Suspended Solids(TSS)are measured by filtration.The analysis of the BOD5 is determined using a BODmeter and the COD,according to DIN 38409-H52.Wastewater from Belksiri town has a pH of 7.2 and an average temperature of 20.5℃ and an electrical conductivity of 3145μs/cm.The average concentration of oxygen is very weak at 0.35 mg/L.Wastewater is loaded with organic matter estimated by Suspended Solid matter(average 446 mg/L),BOD5(280 mg/L)and COD(557 mg/L).The overall pollutant load of wastewater presents satisfactory biodegradability and is well prepared for suitable biological treatment with activated sludge plant.
基金Researchers Supporting Project No.(RSP2025R390),King Saud University,Riyadh,Saudi Arabia.
文摘Nickel(Ni)toxicity significantly impairs plant growth,photosynthesis,and metabolism by inducing oxidative stress.This study evaluates the potential of exogenous Alpha-Ketoglutarate(AKG)in mitigating Ni-induced stress in Peganum harmala L.Seedlings were exposed to 0,200,500,and 750μM NiCl2,with or without AKG supplementation.Under 750μM Ni stress,dry weight(DW)decreased by 33.7%,tissue water content(TWC)by 39.9%,and chlorophyll a and total chlorophyll levels were reduced by 17%and 15%,respectively.Ni exposure also significantly increased secondary metabolite production,with leaf anthocyanin content rising by 131%,and superoxide dismutase(SOD)and catalase(CAT)activities increasing by 228%and 53%,respectively,in roots at 500μM Ni.AKG treatment alleviated Ni toxicity by enhancing TWC by 39%and promoting root and shoot growth.Additionally,AKG treatment boosted the synthesis of phenolic compounds and flavonoids,contributing to improved tolerance against Ni stress.These findings demonstrate the potential of AKG in enhancing Ni tolerance in P.harmala,suggesting its promising role in bioremediation of metal-contaminated soils.This is the first study to report the beneficial effects of exogenous AKG in alleviating nickel toxicity in P.harmala L.,offering a new approach for improving plant resilience to heavy metal stress.
文摘In this study,Opuntia ficus-indica cladode powder(OFIC),locally sourced from Rabta in Tunis,was utilized as a novel,eco-friendly adsorbent in both raw and iron(III)chloride-modified forms.The presence of iron in the modified material was confirmed by X-ray fluorescence spectroscopy(XRF).The neat and modified biomass were characterized by X-ray diffraction(XRD),Fourier Transform Infrared Spectroscopy(FTIR),thermogravimetric analysis(TGA)and scanning electron microscopy(SEM),and their usefulness as adsorbent for cationic Neutral Red(NR)and anionic Congo Red(CR)dyes were explored under batch conditions.Equilibrium studies revealed that the iron-modified Fe(OH)_(x)@Cellulose adsorbent exhibited superior adsorption capabilities for both dyes compared to the raw material.Moreover,CR dye was more effectively adsorbed by Fe(OH)_(x)@Cellulose than NR.The adsorption isotherms for both dyes were fitted.The results demonstrated that the adsorption of both NR and CR dyes onto the biosorbent Fe(OH)_(x)@Cellulose was closely followed by the Langmuir model,with R^(2) values of 0.980 and 0.973 for NR and CR,respectively,and the pseudo-second-order kinetic model better depicted the adsorption kinetic.Thermodynamic analysis revealed a negative enthalpy value(−67.15 kJ/mol)forNR adsorption,suggesting an exothermic process,while a positive enthalpy value(3.99 kJ/mol)was observed for CR adsorption,indicating an endothermic process.
