This study investigates the application of Learnable Memory Vision Transformers(LMViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as o...This study investigates the application of Learnable Memory Vision Transformers(LMViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as other transformer-based models including Token to Token ViT,ViT withoutmemory,and Parallel ViT.Leveraging awidely-used steel surface defect dataset,the research applies data augmentation and t-distributed stochastic neighbor embedding(t-SNE)to enhance feature extraction and understanding.These techniques mitigated overfitting,stabilized training,and improved generalization capabilities.The LMViT model achieved a test accuracy of 97.22%,significantly outperforming ResNet18(88.89%)and ResNet50(88.90%),aswell as the Token to TokenViT(88.46%),ViT without memory(87.18),and Parallel ViT(91.03%).Furthermore,LMViT exhibited superior training and validation performance,attaining a validation accuracy of 98.2%compared to 91.0%for ResNet 18,96.0%for ResNet50,and 89.12%,87.51%,and 91.21%for Token to Token ViT,ViT without memory,and Parallel ViT,respectively.The findings highlight the LMViT’s ability to capture long-range dependencies in images,an areawhere CNNs struggle due to their reliance on local receptive fields and hierarchical feature extraction.The additional transformer-based models also demonstrate improved performance in capturing complex features over CNNs,with LMViT excelling particularly at detecting subtle and complex defects,which is critical for maintaining product quality and operational efficiency in industrial applications.For instance,the LMViT model successfully identified fine scratches and minor surface irregularities that CNNs often misclassify.This study not only demonstrates LMViT’s potential for real-world defect detection but also underscores the promise of other transformer-based architectures like Token to Token ViT,ViT without memory,and Parallel ViT in industrial scenarios where complex spatial relationships are key.Future research may focus on enhancing LMViT’s computational efficiency for deployment in real-time quality control systems.展开更多
Chimeric antigen receptor T(CAR-T)cell therapy represents a major advance in cancer immunotherapy,offering targeted treatment options,particularly for hematologic malignancies.This review comprehensively explores the ...Chimeric antigen receptor T(CAR-T)cell therapy represents a major advance in cancer immunotherapy,offering targeted treatment options,particularly for hematologic malignancies.This review comprehensively explores the structural evolution,production processes,and cytotoxic mechanisms underlying CAR-T function.Therapy involves engineering autologous T cells with synthetic receptors that allow major histocompatibility complex-independent recognition of tumor-associated antigens.Key structural components such as antigen recognition domains,spacers,transmembrane,and intracellular domains are optimized to enhance specificity,persistence,and cytotoxicity.CAR-T therapy exerts antitumor effects via granzyme-perforin degranulation,Fas/Fas ligand signaling,and cytokine secretion.Over time,the development of second-to fifth-generation CARs has incorporated costimulatory molecules,transcriptional regulation,and logic-gated control to improve efficacy and safety.Additionally,novel engineering strategies such as dual CARs,tandem CARs,SynNotch systems,and universal or inhibitory CARs have expanded antigen targeting and reduced offtumor toxicity.Emerging gene delivery technologies,including viral vectors,transposons,CRISPR/Cas9,and RNA-based electroporation,are improving CART production.Despite notable clinical success,particularly in CD19-and B-cell maturation antigen-targeted therapies,CAR-T applications face challenges,including cell exhaustion,antigen escape,and therapy-induced toxicities,such as cytokine release syndrome and neurotoxicity.Ongoing efforts in engineering innovation,clinical trials,and regulatory support continue to shape CAR-T therapy into a safer,more precise tool for cancer treatment.This review highlights current advances while outlining the barriers and future prospects of CAR-T immunotherapy.展开更多
Integrating mobile edge computing (MEC) and digital twin (DT) technologies to enhance network performance through predictive, adaptive control for energy-efficient and low-latency communication is a significant challe...Integrating mobile edge computing (MEC) and digital twin (DT) technologies to enhance network performance through predictive, adaptive control for energy-efficient and low-latency communication is a significant challenge. This paper presents the EcoEdgeTwin model, an innovative framework that harnesses the harmony between MEC and DT technologies to ensure an efficient network operation. We optimise the utility function to balance enhancing users' quality of experience (QoE) and minimising latency and energy consumption at edge servers. This approach ensures efficient and adaptable network operations, utilising DT to synchronise and integrate real-time data seamlessly. Our framework implements robust mechanisms for task offloading, service caching and cost-effective service migration. Additionally, it manages energy consumption related to task processing, communication and the influence of DT predictions, all essential for optimising latency and minimising energy usage. Through the utility model, we also prioritise QoE, fostering a user-centric approach to network management that balances network efficiency with user satisfaction. A cornerstone of our approach is integrating the advantage actor-critic algorithm, marking a pioneering use of deep reinforcement learning for dynamic network management. This strategy addresses challenges in service mobility and network variability, ensuring optimal network performance matrices. Our extensive simulations demonstrate that compared to benchmark models, the EcoEdgeTwin framework significantly reduces energy usage and latency while enhancing QoE.展开更多
This research introduces a unique approach to segmenting breast cancer images using a U-Net-based architecture.However,the computational demand for image processing is very high.Therefore,we have conducted this resear...This research introduces a unique approach to segmenting breast cancer images using a U-Net-based architecture.However,the computational demand for image processing is very high.Therefore,we have conducted this research to build a system that enables image segmentation training with low-power machines.To accomplish this,all data are divided into several segments,each being trained separately.In the case of prediction,the initial output is predicted from each trained model for an input,where the ultimate output is selected based on the pixel-wise majority voting of the expected outputs,which also ensures data privacy.In addition,this kind of distributed training system allows different computers to be used simultaneously.That is how the training process takes comparatively less time than typical training approaches.Even after completing the training,the proposed prediction system allows a newly trained model to be included in the system.Thus,the prediction is consistently more accurate.We evaluated the effectiveness of the ultimate output based on four performance matrices:average pixel accuracy,mean absolute error,average specificity,and average balanced accuracy.The experimental results show that the scores of average pixel accuracy,mean absolute error,average specificity,and average balanced accuracy are 0.9216,0.0687,0.9477,and 0.8674,respectively.In addition,the proposed method was compared with four other state-of-the-art models in terms of total training time and usage of computational resources.And it outperformed all of them in these aspects.展开更多
Bioaerosols consist of aerosols originated biologically such as metabolites, toxins, or fragments of microorganisms that are present ubiquitously in the environment. International interests in bioaerosols have increas...Bioaerosols consist of aerosols originated biologically such as metabolites, toxins, or fragments of microorganisms that are present ubiquitously in the environment. International interests in bioaerosols have increased rapidly to broaden the pool of knowledge on their identification,quantification, distribution, and health impacts（e.g., infectious and respiratory diseases,allergies, and cancer）. However, risk assessment of bioaerosols based on conventional culture methods has been hampered further by several factors such as：（1） the complexity of microorganisms or derivatives to be investigated;（2） the purpose, techniques, and locations of sampling; and（3） the lack of valid quantitative criteria（e.g., exposure standards and dose/effect relationships）. Although exposure to some microbes is considered to be beneficial for health,more research is needed to properly assess their potential health hazards including inter-individual susceptibility, interactions with non-biological agents, and many proven/unproven health effects（e.g., atopy and atopic diseases）.展开更多
Objective: To investigate the presence of different phytoconstituents in Mangifera indica(M. indica) peel and evaluate its cytotoxicity to Artemia salina and hypoglycemic potential in Swiss albino mice.Methods: The me...Objective: To investigate the presence of different phytoconstituents in Mangifera indica(M. indica) peel and evaluate its cytotoxicity to Artemia salina and hypoglycemic potential in Swiss albino mice.Methods: The methanolic extract of M. indica peel was used to determine the presence of phytoconstituents. Brine shrimp lethality bioassay method was followed to determine the cytotoxic potential of plant extract. In the case of hypoglycemic activity, oral administration of extract at 200 and 400 mg/kg and standard glibenclamide at 10 mg/kg was done, followed by determining the percentage of reduction of plasma glucose from the initial level.Results: The methanolic extract of M. indica peel showed the presence of flavonoid,saponin, steroid, tannins, terpenoids, glycosides and alkaloids. In brine shrimp lethality bioassay, the LC_(50) of the extract and standard vincristine sulfate was found to be 2.04 and0.41 mg/mL, respectively. After 90 and 150 min, the methanolic extract at 200 and 400 mg/kg showed prominent plasma glucose reduction of 13.95%, 22.48% and 14.16%,26.18% respectively compared to standard glibenclamide showing 14.90% and 20.67% plasma glucose reduction.Conclusions: This current research affirms prominent cytotoxic and moderate hypoglycemic potential of M. indica peel. Further bioactivity guided isolation of phytoconstituents and investigation on higher animals can lead to development of new drug molecules.展开更多
Human experience can best be understood in the framework of collective social relations. Like any other tie, the mother-daughter relationship is forged not in isolation but informed by cultural, historical, and social...Human experience can best be understood in the framework of collective social relations. Like any other tie, the mother-daughter relationship is forged not in isolation but informed by cultural, historical, and social values, circumstances, and practices. The twentieth century has witnessed the greatest changes in world history. As an outcome of the noticeable shift in gender ideologies in the last half of that century, modern mothers and daughters struggled to experience a union, a bond, an understanding of themselves and the world around them. Clash of tradition and modernity in ideals and mores can be held accountable for the consequential neurotic development of the psyche in twentieth century mothers and daughters. Doris Lessing＇s writings reflect the way in which these complex changes in society affect family relationships. Her first novel of the Children of Violence series, Martha Quest, is an apt study of a mother and her daughter＇s struggle with their newly defined roles in society. This paper will seek to examine the conflicts that are encountered in the wake of such adjustments by contemporary mothers and daughters. In order to do so, the study will focus on an exploration of the kind of issues that Martha Quest and May Quest experience in Lessing＇s Martha Quest through approaches available in works by Carl Jung on his theory of the ＂mother complex＂.展开更多
JiTT （Just-in-Time Teaching） and flipped classroom are two innovations in academia where high-tech and no-tech resources are blended to encourage more interaction and creativity among students. These two methods als...JiTT （Just-in-Time Teaching） and flipped classroom are two innovations in academia where high-tech and no-tech resources are blended to encourage more interaction and creativity among students. These two methods also help minimize the dependency on face-to-face lecture and make the class time more creative and effective. This study is the very first attempt of implementing these strategies in Bangladesh. It explores the prospect of JiTT and flipped classroom at tertiary level in Bangladesh. In the first part of this paper, recent studies on JiTT and flipped classroom are discussed to shed light on their effectiveness and problems. The latter part explains the data and research findings. Before collecting the data, JiTT and flipped classroom were used with 33 students of undergraduate level who were students of＂ELT Methodology＂ course. After the implementation of the methods, a questionnaire survey was conducted to collect data regarding their response to these two methods. The study reveals that JiTT and flipped classroom help cover more topics in a short time while enhancing students＇ interaction and participation. They make students come to the class prepared and reflect on their learning. Teachers can understand students need better and provide required feedback. The overall interaction among students and teachers can be improved using JiTT and flipped classroom since everyone is clear about each other＇s existing knowledge and learning objectives.展开更多
<b>Introduction:</b> Oral cancer is the third most prominent type of cancer in Bangladesh. During or after oral cancer treatment, immune-compromised cancer patients may be susceptible to an infection by mu...<b>Introduction:</b> Oral cancer is the third most prominent type of cancer in Bangladesh. During or after oral cancer treatment, immune-compromised cancer patients may be susceptible to an infection by multi-drug-resistant opportunistic microbes. This study aims to identify the prevalent microorganisms from the infected site of oral cancer patients and observe their antibiotic susceptibility pattern. <b>Materials and Methods:</b> Clinical samples were collected from the infected sites of oral cancer patients and healthy people. The swabs collected were placed on nutrient agar slant, then incubated for 24 hours at 37ºC. Bacteria from the slant were inoculated in several selective media (Mannitol Salt Agar Media, KF Streptococcus Agar media, Cetrimide Agar, Eosin Methylene Blue Agar). Several biochemical tests identified opportunistic microorganisms. Finally, the antibiotic susceptibility test was performed by the Kirby Bauer disc diffusion method. <b>Results:</b> The study found that 65.4% of microbes isolated from the patients’ oral cavities were Gram-negative bacteria, and 34.6% were Gram-positive bacteria. Among the patient group isolates (n = 55), the most prevalent organism was <i>Pseudomonas</i> spp. (30;54.54%). Others were <i>Klebsiella</i> spp. (27;49.09%), <i>Staphylococcus</i> spp. (24;43.63%), <i>E. coli</i> (14;25.45%), <i>Streptococcus</i> spp. (14;25.45%), <i>Proteus</i> spp. (12;21.8%) and <i>Enterococcus</i> spp. (6;10.90%). Both Gram-positive and Gram-negative microbes from the patient group have shown high resistance to the commonly used antibiotics. In the control group (n = 50), the most prevalent organism was <i>Staphylococcus</i> spp. (15;30%). Other organisms were <i>Streptococcus</i> spp. (6;12%), <i>Klebsiella</i> spp. (11;22%), <i>E. coli</i> (3;6%), <i>Streptococcus</i> spp. (14;25.45%), <i>Pseudomonas</i> spp. (8;16%). The microbes of the control group showed less resistance to the antibiotics and rather showed sensitivity to them. <b>Conclusion:</b> The study revealed a high prevalence of multi-drug-resistant opportunistic microbes on immune-compromised oral cancer patients compared to microbes isolated from healthy people’s oral cavity.展开更多
Machine fault diagnostics are essential for industrial operations,and advancements in machine learning have significantly advanced these systems by providing accurate predictions and expedited solutions.Machine learni...Machine fault diagnostics are essential for industrial operations,and advancements in machine learning have significantly advanced these systems by providing accurate predictions and expedited solutions.Machine learning models,especially those utilizing complex algorithms like deep learning,have demonstrated major potential in extracting important information fromlarge operational datasets.Despite their efficiency,machine learningmodels face challenges,making Explainable AI(XAI)crucial for improving their understandability and fine-tuning.The importance of feature contribution and selection using XAI in the diagnosis of machine faults is examined in this study.The technique is applied to evaluate different machine-learning algorithms.Extreme Gradient Boosting,Support Vector Machine,Gaussian Naive Bayes,and Random Forest classifiers are used alongside Logistic Regression(LR)as a baseline model because their efficacy and simplicity are evaluated thoroughly with empirical analysis.The XAI is used as a targeted feature selection technique to select among 29 features of the time and frequency domain.The XAI approach is lightweight,trained with only targeted features,and achieved similar results as the traditional approach.The accuracy without XAI on baseline LR is 79.57%,whereas the approach with XAI on LR is 80.28%.展开更多
AIM: To investigate the behaviour of total plasma homocysteine (tHcy) and its most common genetic determinant defect, the methylenetetrahydrofolate reductase C677T (C677TMTHFR) polymorphism in patients with early stag...AIM: To investigate the behaviour of total plasma homocysteine (tHcy) and its most common genetic determinant defect, the methylenetetrahydrofolate reductase C677T (C677TMTHFR) polymorphism in patients with early stage colorectal carcinoma. METHODS: tHcy was quantified by Abbott IMx immunoassay; screening for C677TMTHFR substitution was performed by PCR and restriction analysis. RESULTS: The frequency of the C/T and T/T genotypes of the C677TMTHFR gene polymorphism did not differ between the groups. The mean tHcy was statistically higher in cancer patients than in control subjects carrying the same C/C or C/T genotype, whereas there was no difference in the T/T homozygous carriers of the two groups. tHcy was significantly higher in the T/T homozygous carriers than in C/C and C/T genotype carriers. CONCLUSION: The statistically significant increase of tHcy observed in C/C and C/T genotype carriers among our cancer patients is related to substrate consumption dependent on the tumor cell proliferation rate, whereas the tHcy increase observed in T/T genotype carriers of both groups probably depends on the enzymatic deficit of the homocysteine conversion to methionine and/or on the folate deficiency.展开更多
The impact of Cr3+ ion on the magnetic properties of Mn0.50Zn0.50CrxFe2-xO4 (with x = 0.0, 0.1, 0.2, 0.3, 0.4 and 0.5) has been studied. Ferrite samples were synthesized by combustion method and sintered at various te...The impact of Cr3+ ion on the magnetic properties of Mn0.50Zn0.50CrxFe2-xO4 (with x = 0.0, 0.1, 0.2, 0.3, 0.4 and 0.5) has been studied. Ferrite samples were synthesized by combustion method and sintered at various temperatures (1250°C, 1300°C and 1350°C). The structural properties were investigated by means of X-ray diffraction patterns and indicated that the samples possess single phase cubic spinel structure. The lattice parameter decreases with the increase in Cr3+ content, as the ionic radius of Cr3+ ion is smaller than that of Fe3+. The average grain size (D), bulk density (ρB) and initial permeability (μi’ )decreases with increase in Cr3+ content whereas porosity follows its opposite trend. The ρB was found to increase with increase in Cr3+ content as the sintering temperature (Ts) is increased from 1250°C to 1350°C. The Ts affects the densification, grain growth and (μi’ ) of the samples. The (μi’ ) strongly depends on average grain size, density and intragranular porosity. The B-H loops of the compositions were measured at room temperature. The saturation magnetization (Ms), coercivity (Hc) and hysteresis losses were studied as a function of Cr3+ content. The Ms was found to decrease with the increase of Cr3+ content, which is attributed to the dilution of A-B interaction.展开更多
The possibilities for improving energy efficiency in ready-made composite garment factories in Bangladesh are assessed in this study. This work aims to understand the impacts of energy consumption on garment productio...The possibilities for improving energy efficiency in ready-made composite garment factories in Bangladesh are assessed in this study. This work aims to understand the impacts of energy consumption on garment production and determine the scope of energy efficiency improvement based on energy-related data collected from a garment factory over a three-year period (2018-2020). Data from 2018 is used as the baseline and is compared to data from 2019 and 2020. It has been discovered that energy consumption has a seasonal impact. Despite the fact that electricity consumption decreased significantly during the 2020 pandemic, the energy consumption pattern in 2020 was found to be similar to that of 2018 and 2019. To improve energy efficiency, recommendations are made to modify the boiler, water pumps, gas generators, electrical motors, and lighting systems in specific ways. These suggested actions could save BDT 95 million (1.15 million US dollars) on power generation and BDT 20.5 million (0.25 million US dollars) on natural gas used for power and heat generation. These would result in a 3.75 percent reduction in the unit (kWh/kg) production energy requirement and a 3.65 percent reduction in natural gas usage per unit production, respectively, when compared to current conditions. Furthermore, these changes will provide an opportunity to reduce greenhouse gas emissions by 9.78%.展开更多
This study was performed to assess whether there is an association between elevated Fasting Blood Glucose(FBG) and hearing impairment in Bangladeshi population. A total of 142 subjects(72 with elevated FBG; 70 control...This study was performed to assess whether there is an association between elevated Fasting Blood Glucose(FBG) and hearing impairment in Bangladeshi population. A total of 142 subjects(72 with elevated FBG; 70 control) were included in the study. The mean auditory thresholds of the control subjects at 1,4,8 and 12 kHz frequencies were 6.35 ± 0.35,10.07 ± 0.91,27.57 ± 1.82, 51.28 ± 3.01 dB SPL(decibel sound pressure level), respectively and that of the subjects with elevated FBG were 8.33 ± 0.66,14.37 ± 1.14, 38.96 土 2.23, and 71.11 ± 2.96 dB.respectively. The auditory thresholds of the subjects with elevated FBG were significantly(p < 0.05) higher than the control subjects at all the above frequencies, although hearing impairment was most evidently observed at an extra-high(12 kHz) frequency. Subjects with a long duration of diabetes(>10 years) showed significantly(p < 0.05) higher level of auditory thresholds at 8 and 12 kHz, but not at 1 and 4 kHz frequencies,compared to subjects with shorter duration of diabetes(≤10 years). In addition, based on the data of odds ratio, more acute impairment of hearing at the extra-high frequency was observed in diabetic subjects of both older(>40 years) and younger(<40 years) age groups compared to the respective controls. The binary logistic regression analysis showed a 5.79-fold increase in the odds of extra-high frequency hearing impairment in diabetic subjects after adjustment for age, gender and BMI. This study provides conclusive evidence that auditory threshold at an extra-high frequency could be a sensitive marker for hearing impairment in diabetic subjects.展开更多
Some big cities in Bangladesh have been experiencing a massive and rapid influx of rural people due to the impacts of climate change,and therefore the urban administration encounters enormous challenges.This study aim...Some big cities in Bangladesh have been experiencing a massive and rapid influx of rural people due to the impacts of climate change,and therefore the urban administration encounters enormous challenges.This study aims to investigate the drivers of climate-induced migration and the post-displacement status of the migrants living in the urban slum of Rajshahi City.Using a semi-structured questionnaire survey,this study conducted interviews with 50 migrants residing in two slums in Rajshahi City.An interpretive phenomenological analysis(IPA)approach was implemented to evaluate the survey data.This study finds that food insecurity and flood are the two significant climate drivers of migration.Among the non-climate drivers,lack of alternative livelihood is the major reason.It should be noticed that the climate migrants in many cases do not get the opportunity to improve their living standards;they are usually occupied with low-pay professions like maid,van and rickshaw puller,and scrap collector.The study also reveals that migrants,especially females and children,need several basic physiological,economic,social,and health services.Most children have no chance to attend school.Compared to males,females have more opportunities for some support and allowances.Overall,an inadequate level of change has taken place in the lives of migrants,which raises the concern if migration is ever a way to resolve a problem or the beginning of many other problems.Further research may concentrate on the impact of migration on the dynamics of social capital among slum dwellers.展开更多
The data of ionospheric perturbations observed on DEMETER before the 2007 Pu＇er earthquake are analyzed. The three-component plasma （ions, electrons and heavy ions） is studied in the fluid concept. The linear dispe...The data of ionospheric perturbations observed on DEMETER before the 2007 Pu＇er earthquake are analyzed. The three-component plasma （ions, electrons and heavy ions） is studied in the fluid concept. The linear dispersion relation for ion-acoustic wave is found in the presence of heavy ions. The nonlinear dynamics is studied for arbitrary amplitude of the wave. The Sagdeev potential is calculated, which shows that solitary structure exists for Mach number within a range defined by the presence of heavy ions. The developed ion-acoustic solitons may be used as precursor for earthquake prediction.展开更多
The demand for water pumping in urban water supply and irrigation in Bangladesh is significantly influenced by electricity deficits and high diesel costs. To address these challenges, the adoption of solar power for w...The demand for water pumping in urban water supply and irrigation in Bangladesh is significantly influenced by electricity deficits and high diesel costs. To address these challenges, the adoption of solar power for water pumping emerges as a viable alternative to traditional systems reliant on grid power and diesel. In recent years, there has been a growing emphasis on clean and renewable energies, aligning with the environmental and economic priorities of Bangladesh. The agricultural sector, serving as the backbone of the country’s economy, witnesses an escalating demand for water as the population increases. The extraction and transfer of water for agricultural and drinking purposes translate to high-energy consumption. Leveraging the abundant and essentially free solar energy, particularly during the crop growth periods when irrigation is crucial, presents an optimal solution. This study underscores the underutilization of this vital resource in Bangladesh and advocates for the widespread implementation of solar energy conversion programs, specifically in photovoltaic pumping systems. By comparing these systems with conventional diesel pumps, this paper aims to inspire policymakers, statesmen, and industry professionals to integrate green energy into the water sector. The envisioned outcome is a strategic shift towards sustainable development, with a focus on harnessing solar power to pump water for villages and agriculture, thus contributing to economic and environmental sustainability.展开更多
基金funded by Woosong University Academic Research 2024.
文摘This study investigates the application of Learnable Memory Vision Transformers(LMViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as other transformer-based models including Token to Token ViT,ViT withoutmemory,and Parallel ViT.Leveraging awidely-used steel surface defect dataset,the research applies data augmentation and t-distributed stochastic neighbor embedding(t-SNE)to enhance feature extraction and understanding.These techniques mitigated overfitting,stabilized training,and improved generalization capabilities.The LMViT model achieved a test accuracy of 97.22%,significantly outperforming ResNet18(88.89%)and ResNet50(88.90%),aswell as the Token to TokenViT(88.46%),ViT without memory(87.18),and Parallel ViT(91.03%).Furthermore,LMViT exhibited superior training and validation performance,attaining a validation accuracy of 98.2%compared to 91.0%for ResNet 18,96.0%for ResNet50,and 89.12%,87.51%,and 91.21%for Token to Token ViT,ViT without memory,and Parallel ViT,respectively.The findings highlight the LMViT’s ability to capture long-range dependencies in images,an areawhere CNNs struggle due to their reliance on local receptive fields and hierarchical feature extraction.The additional transformer-based models also demonstrate improved performance in capturing complex features over CNNs,with LMViT excelling particularly at detecting subtle and complex defects,which is critical for maintaining product quality and operational efficiency in industrial applications.For instance,the LMViT model successfully identified fine scratches and minor surface irregularities that CNNs often misclassify.This study not only demonstrates LMViT’s potential for real-world defect detection but also underscores the promise of other transformer-based architectures like Token to Token ViT,ViT without memory,and Parallel ViT in industrial scenarios where complex spatial relationships are key.Future research may focus on enhancing LMViT’s computational efficiency for deployment in real-time quality control systems.
文摘Chimeric antigen receptor T(CAR-T)cell therapy represents a major advance in cancer immunotherapy,offering targeted treatment options,particularly for hematologic malignancies.This review comprehensively explores the structural evolution,production processes,and cytotoxic mechanisms underlying CAR-T function.Therapy involves engineering autologous T cells with synthetic receptors that allow major histocompatibility complex-independent recognition of tumor-associated antigens.Key structural components such as antigen recognition domains,spacers,transmembrane,and intracellular domains are optimized to enhance specificity,persistence,and cytotoxicity.CAR-T therapy exerts antitumor effects via granzyme-perforin degranulation,Fas/Fas ligand signaling,and cytokine secretion.Over time,the development of second-to fifth-generation CARs has incorporated costimulatory molecules,transcriptional regulation,and logic-gated control to improve efficacy and safety.Additionally,novel engineering strategies such as dual CARs,tandem CARs,SynNotch systems,and universal or inhibitory CARs have expanded antigen targeting and reduced offtumor toxicity.Emerging gene delivery technologies,including viral vectors,transposons,CRISPR/Cas9,and RNA-based electroporation,are improving CART production.Despite notable clinical success,particularly in CD19-and B-cell maturation antigen-targeted therapies,CAR-T applications face challenges,including cell exhaustion,antigen escape,and therapy-induced toxicities,such as cytokine release syndrome and neurotoxicity.Ongoing efforts in engineering innovation,clinical trials,and regulatory support continue to shape CAR-T therapy into a safer,more precise tool for cancer treatment.This review highlights current advances while outlining the barriers and future prospects of CAR-T immunotherapy.
文摘Integrating mobile edge computing (MEC) and digital twin (DT) technologies to enhance network performance through predictive, adaptive control for energy-efficient and low-latency communication is a significant challenge. This paper presents the EcoEdgeTwin model, an innovative framework that harnesses the harmony between MEC and DT technologies to ensure an efficient network operation. We optimise the utility function to balance enhancing users' quality of experience (QoE) and minimising latency and energy consumption at edge servers. This approach ensures efficient and adaptable network operations, utilising DT to synchronise and integrate real-time data seamlessly. Our framework implements robust mechanisms for task offloading, service caching and cost-effective service migration. Additionally, it manages energy consumption related to task processing, communication and the influence of DT predictions, all essential for optimising latency and minimising energy usage. Through the utility model, we also prioritise QoE, fostering a user-centric approach to network management that balances network efficiency with user satisfaction. A cornerstone of our approach is integrating the advantage actor-critic algorithm, marking a pioneering use of deep reinforcement learning for dynamic network management. This strategy addresses challenges in service mobility and network variability, ensuring optimal network performance matrices. Our extensive simulations demonstrate that compared to benchmark models, the EcoEdgeTwin framework significantly reduces energy usage and latency while enhancing QoE.
基金the Researchers Supporting Project,King Saud University,Saudi Arabia,for funding this research work through Project No.RSPD2025R951.
文摘This research introduces a unique approach to segmenting breast cancer images using a U-Net-based architecture.However,the computational demand for image processing is very high.Therefore,we have conducted this research to build a system that enables image segmentation training with low-power machines.To accomplish this,all data are divided into several segments,each being trained separately.In the case of prediction,the initial output is predicted from each trained model for an input,where the ultimate output is selected based on the pixel-wise majority voting of the expected outputs,which also ensures data privacy.In addition,this kind of distributed training system allows different computers to be used simultaneously.That is how the training process takes comparatively less time than typical training approaches.Even after completing the training,the proposed prediction system allows a newly trained model to be included in the system.Thus,the prediction is consistently more accurate.We evaluated the effectiveness of the ultimate output based on four performance matrices:average pixel accuracy,mean absolute error,average specificity,and average balanced accuracy.The experimental results show that the scores of average pixel accuracy,mean absolute error,average specificity,and average balanced accuracy are 0.9216,0.0687,0.9477,and 0.8674,respectively.In addition,the proposed method was compared with four other state-of-the-art models in terms of total training time and usage of computational resources.And it outperformed all of them in these aspects.
基金support made in part by grants from the National Research Foundation of Korea(NRF)funded by the Ministry of Science,ICT&Future Planning(No.2016R1E1A1A01940995)
文摘Bioaerosols consist of aerosols originated biologically such as metabolites, toxins, or fragments of microorganisms that are present ubiquitously in the environment. International interests in bioaerosols have increased rapidly to broaden the pool of knowledge on their identification,quantification, distribution, and health impacts（e.g., infectious and respiratory diseases,allergies, and cancer）. However, risk assessment of bioaerosols based on conventional culture methods has been hampered further by several factors such as：（1） the complexity of microorganisms or derivatives to be investigated;（2） the purpose, techniques, and locations of sampling; and（3） the lack of valid quantitative criteria（e.g., exposure standards and dose/effect relationships）. Although exposure to some microbes is considered to be beneficial for health,more research is needed to properly assess their potential health hazards including inter-individual susceptibility, interactions with non-biological agents, and many proven/unproven health effects（e.g., atopy and atopic diseases）.
基金Supported by Ministry of Science and Technology,Government of the Peoples Republic of Bangladesh(Grant No.39.012.002.01.04.018.2014-319)
文摘Objective: To investigate the presence of different phytoconstituents in Mangifera indica(M. indica) peel and evaluate its cytotoxicity to Artemia salina and hypoglycemic potential in Swiss albino mice.Methods: The methanolic extract of M. indica peel was used to determine the presence of phytoconstituents. Brine shrimp lethality bioassay method was followed to determine the cytotoxic potential of plant extract. In the case of hypoglycemic activity, oral administration of extract at 200 and 400 mg/kg and standard glibenclamide at 10 mg/kg was done, followed by determining the percentage of reduction of plasma glucose from the initial level.Results: The methanolic extract of M. indica peel showed the presence of flavonoid,saponin, steroid, tannins, terpenoids, glycosides and alkaloids. In brine shrimp lethality bioassay, the LC_(50) of the extract and standard vincristine sulfate was found to be 2.04 and0.41 mg/mL, respectively. After 90 and 150 min, the methanolic extract at 200 and 400 mg/kg showed prominent plasma glucose reduction of 13.95%, 22.48% and 14.16%,26.18% respectively compared to standard glibenclamide showing 14.90% and 20.67% plasma glucose reduction.Conclusions: This current research affirms prominent cytotoxic and moderate hypoglycemic potential of M. indica peel. Further bioactivity guided isolation of phytoconstituents and investigation on higher animals can lead to development of new drug molecules.
文摘Human experience can best be understood in the framework of collective social relations. Like any other tie, the mother-daughter relationship is forged not in isolation but informed by cultural, historical, and social values, circumstances, and practices. The twentieth century has witnessed the greatest changes in world history. As an outcome of the noticeable shift in gender ideologies in the last half of that century, modern mothers and daughters struggled to experience a union, a bond, an understanding of themselves and the world around them. Clash of tradition and modernity in ideals and mores can be held accountable for the consequential neurotic development of the psyche in twentieth century mothers and daughters. Doris Lessing＇s writings reflect the way in which these complex changes in society affect family relationships. Her first novel of the Children of Violence series, Martha Quest, is an apt study of a mother and her daughter＇s struggle with their newly defined roles in society. This paper will seek to examine the conflicts that are encountered in the wake of such adjustments by contemporary mothers and daughters. In order to do so, the study will focus on an exploration of the kind of issues that Martha Quest and May Quest experience in Lessing＇s Martha Quest through approaches available in works by Carl Jung on his theory of the ＂mother complex＂.
文摘JiTT （Just-in-Time Teaching） and flipped classroom are two innovations in academia where high-tech and no-tech resources are blended to encourage more interaction and creativity among students. These two methods also help minimize the dependency on face-to-face lecture and make the class time more creative and effective. This study is the very first attempt of implementing these strategies in Bangladesh. It explores the prospect of JiTT and flipped classroom at tertiary level in Bangladesh. In the first part of this paper, recent studies on JiTT and flipped classroom are discussed to shed light on their effectiveness and problems. The latter part explains the data and research findings. Before collecting the data, JiTT and flipped classroom were used with 33 students of undergraduate level who were students of＂ELT Methodology＂ course. After the implementation of the methods, a questionnaire survey was conducted to collect data regarding their response to these two methods. The study reveals that JiTT and flipped classroom help cover more topics in a short time while enhancing students＇ interaction and participation. They make students come to the class prepared and reflect on their learning. Teachers can understand students need better and provide required feedback. The overall interaction among students and teachers can be improved using JiTT and flipped classroom since everyone is clear about each other＇s existing knowledge and learning objectives.
文摘<b>Introduction:</b> Oral cancer is the third most prominent type of cancer in Bangladesh. During or after oral cancer treatment, immune-compromised cancer patients may be susceptible to an infection by multi-drug-resistant opportunistic microbes. This study aims to identify the prevalent microorganisms from the infected site of oral cancer patients and observe their antibiotic susceptibility pattern. <b>Materials and Methods:</b> Clinical samples were collected from the infected sites of oral cancer patients and healthy people. The swabs collected were placed on nutrient agar slant, then incubated for 24 hours at 37ºC. Bacteria from the slant were inoculated in several selective media (Mannitol Salt Agar Media, KF Streptococcus Agar media, Cetrimide Agar, Eosin Methylene Blue Agar). Several biochemical tests identified opportunistic microorganisms. Finally, the antibiotic susceptibility test was performed by the Kirby Bauer disc diffusion method. <b>Results:</b> The study found that 65.4% of microbes isolated from the patients’ oral cavities were Gram-negative bacteria, and 34.6% were Gram-positive bacteria. Among the patient group isolates (n = 55), the most prevalent organism was <i>Pseudomonas</i> spp. (30;54.54%). Others were <i>Klebsiella</i> spp. (27;49.09%), <i>Staphylococcus</i> spp. (24;43.63%), <i>E. coli</i> (14;25.45%), <i>Streptococcus</i> spp. (14;25.45%), <i>Proteus</i> spp. (12;21.8%) and <i>Enterococcus</i> spp. (6;10.90%). Both Gram-positive and Gram-negative microbes from the patient group have shown high resistance to the commonly used antibiotics. In the control group (n = 50), the most prevalent organism was <i>Staphylococcus</i> spp. (15;30%). Other organisms were <i>Streptococcus</i> spp. (6;12%), <i>Klebsiella</i> spp. (11;22%), <i>E. coli</i> (3;6%), <i>Streptococcus</i> spp. (14;25.45%), <i>Pseudomonas</i> spp. (8;16%). The microbes of the control group showed less resistance to the antibiotics and rather showed sensitivity to them. <b>Conclusion:</b> The study revealed a high prevalence of multi-drug-resistant opportunistic microbes on immune-compromised oral cancer patients compared to microbes isolated from healthy people’s oral cavity.
基金funded by Woosong University Academic Research 2024.
文摘Machine fault diagnostics are essential for industrial operations,and advancements in machine learning have significantly advanced these systems by providing accurate predictions and expedited solutions.Machine learning models,especially those utilizing complex algorithms like deep learning,have demonstrated major potential in extracting important information fromlarge operational datasets.Despite their efficiency,machine learningmodels face challenges,making Explainable AI(XAI)crucial for improving their understandability and fine-tuning.The importance of feature contribution and selection using XAI in the diagnosis of machine faults is examined in this study.The technique is applied to evaluate different machine-learning algorithms.Extreme Gradient Boosting,Support Vector Machine,Gaussian Naive Bayes,and Random Forest classifiers are used alongside Logistic Regression(LR)as a baseline model because their efficacy and simplicity are evaluated thoroughly with empirical analysis.The XAI is used as a targeted feature selection technique to select among 29 features of the time and frequency domain.The XAI approach is lightweight,trained with only targeted features,and achieved similar results as the traditional approach.The accuracy without XAI on baseline LR is 79.57%,whereas the approach with XAI on LR is 80.28%.
基金Supported by a research grant from the University of Siena (PAR)
文摘AIM: To investigate the behaviour of total plasma homocysteine (tHcy) and its most common genetic determinant defect, the methylenetetrahydrofolate reductase C677T (C677TMTHFR) polymorphism in patients with early stage colorectal carcinoma. METHODS: tHcy was quantified by Abbott IMx immunoassay; screening for C677TMTHFR substitution was performed by PCR and restriction analysis. RESULTS: The frequency of the C/T and T/T genotypes of the C677TMTHFR gene polymorphism did not differ between the groups. The mean tHcy was statistically higher in cancer patients than in control subjects carrying the same C/C or C/T genotype, whereas there was no difference in the T/T homozygous carriers of the two groups. tHcy was significantly higher in the T/T homozygous carriers than in C/C and C/T genotype carriers. CONCLUSION: The statistically significant increase of tHcy observed in C/C and C/T genotype carriers among our cancer patients is related to substrate consumption dependent on the tumor cell proliferation rate, whereas the tHcy increase observed in T/T genotype carriers of both groups probably depends on the enzymatic deficit of the homocysteine conversion to methionine and/or on the folate deficiency.
文摘The impact of Cr3+ ion on the magnetic properties of Mn0.50Zn0.50CrxFe2-xO4 (with x = 0.0, 0.1, 0.2, 0.3, 0.4 and 0.5) has been studied. Ferrite samples were synthesized by combustion method and sintered at various temperatures (1250°C, 1300°C and 1350°C). The structural properties were investigated by means of X-ray diffraction patterns and indicated that the samples possess single phase cubic spinel structure. The lattice parameter decreases with the increase in Cr3+ content, as the ionic radius of Cr3+ ion is smaller than that of Fe3+. The average grain size (D), bulk density (ρB) and initial permeability (μi’ )decreases with increase in Cr3+ content whereas porosity follows its opposite trend. The ρB was found to increase with increase in Cr3+ content as the sintering temperature (Ts) is increased from 1250°C to 1350°C. The Ts affects the densification, grain growth and (μi’ ) of the samples. The (μi’ ) strongly depends on average grain size, density and intragranular porosity. The B-H loops of the compositions were measured at room temperature. The saturation magnetization (Ms), coercivity (Hc) and hysteresis losses were studied as a function of Cr3+ content. The Ms was found to decrease with the increase of Cr3+ content, which is attributed to the dilution of A-B interaction.
文摘The possibilities for improving energy efficiency in ready-made composite garment factories in Bangladesh are assessed in this study. This work aims to understand the impacts of energy consumption on garment production and determine the scope of energy efficiency improvement based on energy-related data collected from a garment factory over a three-year period (2018-2020). Data from 2018 is used as the baseline and is compared to data from 2019 and 2020. It has been discovered that energy consumption has a seasonal impact. Despite the fact that electricity consumption decreased significantly during the 2020 pandemic, the energy consumption pattern in 2020 was found to be similar to that of 2018 and 2019. To improve energy efficiency, recommendations are made to modify the boiler, water pumps, gas generators, electrical motors, and lighting systems in specific ways. These suggested actions could save BDT 95 million (1.15 million US dollars) on power generation and BDT 20.5 million (0.25 million US dollars) on natural gas used for power and heat generation. These would result in a 3.75 percent reduction in the unit (kWh/kg) production energy requirement and a 3.65 percent reduction in natural gas usage per unit production, respectively, when compared to current conditions. Furthermore, these changes will provide an opportunity to reduce greenhouse gas emissions by 9.78%.
文摘This study was performed to assess whether there is an association between elevated Fasting Blood Glucose(FBG) and hearing impairment in Bangladeshi population. A total of 142 subjects(72 with elevated FBG; 70 control) were included in the study. The mean auditory thresholds of the control subjects at 1,4,8 and 12 kHz frequencies were 6.35 ± 0.35,10.07 ± 0.91,27.57 ± 1.82, 51.28 ± 3.01 dB SPL(decibel sound pressure level), respectively and that of the subjects with elevated FBG were 8.33 ± 0.66,14.37 ± 1.14, 38.96 土 2.23, and 71.11 ± 2.96 dB.respectively. The auditory thresholds of the subjects with elevated FBG were significantly(p < 0.05) higher than the control subjects at all the above frequencies, although hearing impairment was most evidently observed at an extra-high(12 kHz) frequency. Subjects with a long duration of diabetes(>10 years) showed significantly(p < 0.05) higher level of auditory thresholds at 8 and 12 kHz, but not at 1 and 4 kHz frequencies,compared to subjects with shorter duration of diabetes(≤10 years). In addition, based on the data of odds ratio, more acute impairment of hearing at the extra-high frequency was observed in diabetic subjects of both older(>40 years) and younger(<40 years) age groups compared to the respective controls. The binary logistic regression analysis showed a 5.79-fold increase in the odds of extra-high frequency hearing impairment in diabetic subjects after adjustment for age, gender and BMI. This study provides conclusive evidence that auditory threshold at an extra-high frequency could be a sensitive marker for hearing impairment in diabetic subjects.
基金Association for Community Development(ACD),Rajshahi,Bangladesh supported this survey.
文摘Some big cities in Bangladesh have been experiencing a massive and rapid influx of rural people due to the impacts of climate change,and therefore the urban administration encounters enormous challenges.This study aims to investigate the drivers of climate-induced migration and the post-displacement status of the migrants living in the urban slum of Rajshahi City.Using a semi-structured questionnaire survey,this study conducted interviews with 50 migrants residing in two slums in Rajshahi City.An interpretive phenomenological analysis(IPA)approach was implemented to evaluate the survey data.This study finds that food insecurity and flood are the two significant climate drivers of migration.Among the non-climate drivers,lack of alternative livelihood is the major reason.It should be noticed that the climate migrants in many cases do not get the opportunity to improve their living standards;they are usually occupied with low-pay professions like maid,van and rickshaw puller,and scrap collector.The study also reveals that migrants,especially females and children,need several basic physiological,economic,social,and health services.Most children have no chance to attend school.Compared to males,females have more opportunities for some support and allowances.Overall,an inadequate level of change has taken place in the lives of migrants,which raises the concern if migration is ever a way to resolve a problem or the beginning of many other problems.Further research may concentrate on the impact of migration on the dynamics of social capital among slum dwellers.
文摘The data of ionospheric perturbations observed on DEMETER before the 2007 Pu＇er earthquake are analyzed. The three-component plasma （ions, electrons and heavy ions） is studied in the fluid concept. The linear dispersion relation for ion-acoustic wave is found in the presence of heavy ions. The nonlinear dynamics is studied for arbitrary amplitude of the wave. The Sagdeev potential is calculated, which shows that solitary structure exists for Mach number within a range defined by the presence of heavy ions. The developed ion-acoustic solitons may be used as precursor for earthquake prediction.
文摘The demand for water pumping in urban water supply and irrigation in Bangladesh is significantly influenced by electricity deficits and high diesel costs. To address these challenges, the adoption of solar power for water pumping emerges as a viable alternative to traditional systems reliant on grid power and diesel. In recent years, there has been a growing emphasis on clean and renewable energies, aligning with the environmental and economic priorities of Bangladesh. The agricultural sector, serving as the backbone of the country’s economy, witnesses an escalating demand for water as the population increases. The extraction and transfer of water for agricultural and drinking purposes translate to high-energy consumption. Leveraging the abundant and essentially free solar energy, particularly during the crop growth periods when irrigation is crucial, presents an optimal solution. This study underscores the underutilization of this vital resource in Bangladesh and advocates for the widespread implementation of solar energy conversion programs, specifically in photovoltaic pumping systems. By comparing these systems with conventional diesel pumps, this paper aims to inspire policymakers, statesmen, and industry professionals to integrate green energy into the water sector. The envisioned outcome is a strategic shift towards sustainable development, with a focus on harnessing solar power to pump water for villages and agriculture, thus contributing to economic and environmental sustainability.
