The Stability of UV-Defluorination-Driven Crosslinked Carbon Nanotubes: A Raman Study.

Carbon nanotubes (CNTs) are often regarded as semi-rigid, all-carbon polymers. However, unlike conventional polymers that can form 3D networks such as hydrogels or elastomers through crosslinking in solution, CNTs have long been considered non-crosslinkable under mild conditions. This perception changed with our recent discovery of UV-defluorination-driven direct crosslinking of CNTs in solution. In this study, we further investigate the thermal stability of UV-defluorination-driven crosslinked CNTs, revealing that they are metastable and decompose more readily than either pristine or fluorinated CNTs under Raman laser irradiation. Using Raman spectroscopy under controlled laser power, we examined both single-walled and multi-walled fluorinated CNTs. The results demonstrate that UV-defluorinated CNTs exhibit reduced thermal stability compared to their pristine or untreated fluorinated counterparts. This instability is attributed to the strain on the intertube crosslinking bonds resulting from the curved carbon lattice of the linked CNTs. The metallic CNTs in the crosslinked CNT networks decompose and revert to their pristine state more readily than the semiconducting ones. The inherent instability of crosslinked CNTs leads to combustion at temperatures approximately 100 °C lower than those required for non-crosslinked fluorinated CNTs. This property positions crosslinked CNTs as promising candidates for applications where mechanically robust, lightweight materials are needed, along with feasible post-use removal options.

Assessment of potentially toxic element contents in chickens and poultry feeds from Bangladesh markets: Implications for human health risk.

Chicken (Gallus domesticus) is a significant source of animal protein for the people of Bangladesh. However, anthropogenic activity may contaminate chicken meat with potentially toxic elements (PTEs) despite the nutritional benefits. Current work aims to determine the accumulated content of PTEs (Pb, Cd, Cr, As, and Hg) in chickens and poultry feeds commercially sold in Bangladesh markets and compare with WHO, FAO, EU, EC, FSANZ standards. Three different chicken varieties, native (local variety, freehand raised), poultry (raised for meat only), and layer chicken (commercially raised for eggs and later used for meat), were investigated, and commercial poultry feeds were used to raise the latter two varieties. The Pb, Cd, Cr, As, and Hg contents (mg kg-1 fresh weight (f.w.) were 0.481-1.067, 0.025-0.118, 0.069-0.319, 0.007-0.071, 0.002-0.019, respectively. In addition, associated health risks due to the PTEs in different varieties of chicken organs, e.g., meat, liver, and kidney, were evaluated. The study suggests that the poultry feeds should be carefully monitored regarding PTEs content to avoid potential human health risks due to chicken consumption in Bangladesh.

Correlation of Cognitive Status and Atrophy Score in Alzheimer's Disease Among the Bangladeshi Population.

BACKGROUND: Alzheimer's disease (AD) patients suffer from cognitive dysfunction. This study assessed the structural magnetic resonance imaging (MRI) scoring among Alzheimer's patients (age ≥18 years) to correlate with dementia severity according to mini-mental state exam (MMSE) scores. METHODS: This cross-sectional study evaluated Bangladeshi adult AD patients from January 2018 to December 2022 who attended with subjective memory complaints and fulfilled the diagnostic and statistical manual of mental disorders criteria (DSM 5) for diagnosing dementia. The medial temporal lobe atrophy (MTA) and Koedam's score of the atrophy were measured utilising the 1.5 and 3 Tesla Magnetom symphony MRI systems. RESULTS: Of the 62 patients enrolled, the majority (39 cases; 62.9%) were aged over 60 years. Males were more predominant than females, with a male-to-female ratio of 2.6:1, and the moderate MMSE group consisted of 35.6% males and 64.7% females (P = 0.01). Further, MTA score severity is paradoxically associated with the MMSE score (P = 0.005). Additionally, we found a statistically significant negative correlation between the severity of the MMSE and only MTA scores (r = -0.350; 95% CI -0.551 to -0.110; P = 0.005). CONCLUSION: Structural magnetic resonance imaging among Alzheimer's patients is significantly correlated with the severity of dementia as per mini-mental state exam scores.

Temporal trends in lower extremity amputation in Middle East and North Africa (MENA) region: analysis of the GBD dataset 1990-2019.

BACKGROUND: Lower extremity amputations (LEAs) significantly contribute to mortality and morbidity, often resulting from peripheral artery disease and diabetes mellitus (DM). Traumatic injuries also account for many LEAs. Despite the global burden, the epidemiology of LEAs, particularly in the Middle East and North Africa (MENA) region, remains underexplored. This study utilizes the Global Burden of Disease (GBD) dataset to analyze temporal trends in LEAs in the MENA region from 1990 to 2019. METHODS: The study utilized the 2019 GBD dataset, which includes estimates for incidence, prevalence, and disability-adjusted life-years (DALYs) across 369 diseases. Age-standardized incidence rates (ASIRs) for LEAs were extracted for 21 MENA countries. Trends were analyzed using percentage change calculations and Joinpoint regression to identify significant shifts in LEA rates over time. RESULTS: From 1990 to 2019, male LEA rates generally decreased, while female rates increased. Significant increases in LEA rates were observed in Syria, Yemen, and Afghanistan, correlating with periods of conflict and instability. Conversely, countries like Iraq, Palestine, Sudan, Lebanon, Iran, and Kuwait saw marked decreases. The study highlighted a complex interplay of socio-political factors, natural disasters, and chronic diseases like DM in shaping LEA trends across the region. CONCLUSION: The study reveals variable LEA trends in the MENA region, influenced by conflicts, natural disasters, and chronic diseases. These findings underscore the need for targeted public health interventions, improved healthcare access, and robust data collection systems to reduce the burden of LEAs and improve patient outcomes in the MENA region.

Generalizable Deep Learning for the Detection of Incomplete and Complete Retinal Pigment Epithelium and Outer Retinal Atrophy: A MACUSTAR Report.

Purpose: The purpose of this study was to develop a deep learning algorithm for detecting and quantifying incomplete retinal pigment epithelium and outer retinal atrophy (iRORA) and complete retinal pigment epithelium and outer retinal atrophy (cRORA) in optical coherence tomography (OCT) that generalizes well to data from different devices and to validate in an intermediate age-related macular degeneration (iAMD) cohort. Methods: The algorithm comprised a domain adaptation (DA) model, promoting generalization across devices, and a segmentation model for detecting granular biomarkers defining iRORA/cRORA, which are combined into iRORA/cRORA segmentations. Manual annotations of iRORA/cRORA in OCTs from different devices in the MACUSTAR study (168 patients with iAMD) were compared to the algorithm's output. Eye level classification metrics included sensitivity, specificity, and quadratic weighted Cohen's κ score (κw). Segmentation performance was assessed quantitatively using Bland-Altman plots and qualitatively. Results: For ZEISS OCTs, sensitivity and specificity for iRORA/cRORA classification were 38.5% and 93.1%, respectively, and 60.0% and 96.4% for cRORA. For Spectralis OCTs, these were 84.0% and 93.7% for iRORA/cRORA, and 62.5% and 97.4% for cRORA. The κw scores for 3-way classification (none, iRORA, and cRORA) were 0.37 and 0.73 for ZEISS and Spectralis, respectively. Removing DA reduced κw from 0.73 to 0.63 for Spectralis. Conclusions: The DA-enabled iRORA/cRORA segmentation algorithm showed superior consistency compared to human annotations, and good generalization across OCT devices. Translational Relevance: The application of this algorithm may help toward precise and automated tracking of iAMD-related lesion changes, which is crucial in clinical settings and multicenter longitudinal studies on iAMD.

Uncontrolled blood pressure among the established hypertensive elderly people in Jashore, Bangladesh: A cross-sectional type of observational study.

Objectives: Hypertension is one of the major modifiable risk factors for cardiovascular mortality and morbidity throughout the world. Increased life expectancy leads to increase prevalence of non-communicable diseases among the elderly people including Bangladesh. However, different studies reported high prevalence of uncontrolled hypertension ranging from 52.6% to 67.9% among the elderly people in different countries. With this view, we aimed to assess the frequency of uncontrolled blood pressure (BP) among the elderly hypertensive people and its associated risk factors and treatment pattern in Bangladesh. Methodology: This cross-sectional type of observational study recruited 246 eligible hypertensive elderly patients attending in 250 Bedded General Hospital, Jashore, Bangladesh dated from 1st July to 31st December 2022. A structured questionnaire was developed and data on associated risk factors, treatment pattern and current blood pressure (BP) measurement were collected by face-to-face interview for the purposive sampling technique. Results: The mean age of our study patients was 72 ± 7 years with a male and female ratio nearly 1:1. Of the total hypertensive patients aged over 65 years or more, 56.5% remained with uncontrolled hypertension even on their prescribed antihypertensive medications. The mean systolic (SBP) and diastolic (DBP) blood pressure were significantly high (P < 0.001) as 167 ± 22 mm Hg and 95 ± 11 mm Hg, respectively, among the uncontrolled hypertensive patients. However, we noticed the mean SBP and DBP among the total hypertensive patients were also significantly high (P < 0.001) as 148 ± 27 mm Hg and 87 ± 13 mm Hg, respectively. In this study, we reported that the mean number of last prescribed antihypertensive medications used by the total patients was 2 ± 1 (P =0.224) which was similar among the controlled and uncontrolled hypertensive patient groups. Among the elderly hypertensive patients, the most commonly prescribed antihypertensive medications were Amlodipine 39.8% (P =0.006), Olmesartan 29.3% (P = 0.186), Losartan 24.4% (P = 0.127), Bisoprolol 15.0% (P = 0.266) and Atenolol 14.6% (P = 0.224). Conclusion: We noticed high frequency of uncontrolled blood pressure among the elderly hypertensive patients, despite of using multiple antihypertensive medications in Jashore, Bangladesh.

Phenotypic diversity in qualitative and quantitative traits for selection of high yield potential field pea genotypes.

Field pea (Pisum sativum L.) needs improvement to increase productivity due to its high price and demand. However, the incidence of powdery mildew (PM) disease limits its production. This study aimed to analyze the diversity of qualitative and quantitative traits against powdery mildew resistance by utilizing cluster and principal component analysis to explore PM resistance high-yield potential field peas. Shannon-Weaver's diversity index (H') displayed high intra-genotype diversity for quantitative and qualitative aspects. Heterogeneity was identified for resistance against powdery mildew infections. Eighty-five genotypes were divided into five groups using Mohalanobis generalized distance (D2) statistics. The highest inter-cluster D2 value was observed between clusters 2 and 3 (11.89) while the lowest value was found between clusters 3 and 4 (2.06). Most of the genotypes had noticeable differences, so these could be employed in a crossing scheme. Twelve genotypes were extremely resistant, 29 genotypes were resistant, 25 genotypes were moderately resistant, 18 genotypes were fairly susceptible, and 1 genotype was susceptible to powdery mildew disease. Among 29 resistant genotypes, BFP77, BFP74, BFP63, BFP62, BFP43, and BFP80 were high yielders and, could be used directly and/or transferred through hybridization to high-yielding disease-susceptible genotypes. Among the 25 moderately resistant genotypes, BFP78, BFP45, BFP79, and BFP48 were found to be high yielders. In principal component analysis (PCA), the first four PCs with Eigen values > 1 accounted for 88.4% variability for quantitative traits. Clustering sorted genotypes into five groups, where groups 1 to 5 assembled 37, 28, 1, 8, and 11 genotypes, respectively. Genotypes of cluster 4 were identified as high yielders with its attributes. Pearson correlation significantly and positively correlated across all traits except for PM. This variation suggested that there is a mechanism to select promising genotypes for field pea breeding. Considering all features, BFP78, BFP77, BFP74, BFP63, BFP62, BFP45, BFP79, and BFP80 could be preferred as high yielders and PM resistance owing to longer pod lengths, seeds per pod and pods per plant.

Durvalumab-Induced Triple-M Syndrome.

Background: While the use of immunotherapy has revolutionised the treatment of various cancers, it is often associated with a myriad of immune-related adverse effects. Case Presentation: In this article, we report a rare case of durvalumab-induced triple-M syndrome in a 69-year-old woman with stage III lung adenocarcinoma. She was admitted with profound generalised muscle weakness, myalgia, and exertional breathlessness, about a week into her second cycle of durvalumab, an immune checkpoint inhibitor. She had clinicopathological features of myositis, myasthenia and myocarditis with acute onset symptomatic tri-fascicular block on electrocardiogram, requiring urgent cardiology intervention. Durvalumab was discontinued and she was treated with a combination of high-dose steroids and intravenous immunoglobulin after which she had clinical and biochemical improvement, albeit with residual muscle weakness. Conclusion: Myocarditis-myositis-myasthenia complex is a rare side effect of immunotherapy which has been reported in other immune checkpoint inhibitors, but less so with durvalumab. We report this clinical case to raise awareness of this rare and potentially life-threatening adverse effect of this agent. LEARNING POINTS: Triple-M syndrome is a rare immune-related adverse effect, which has been noted in other immune checkpoint inhibitors, but less so with durvalumab specifically.Immunotherapy-induced myositis, myocarditis and myasthenia can occur in isolation or, rarely, in association as a syndrome.This case demonstrates the potentially life-threatening nature of this entity, the need for early recognition, and multi-specialist teamwork to ensure good outcome.

Averaging Times for Pulse Oximeter Measurements - A Review of Manuscripts Published in the Top Five Sleep Medicine Journals.

Purpose: Clinical management decisions often rely on a patient's SpO2 level and desaturation rate. Limitations include that measurements depend on the averaging time (AVT) used, which is particularly relevant to sleep medicine, but has yet received little attention. Methods: Cross-sectional review of studies reporting pulse oximeter saturation (SpO2) measurements published in 5 leading sleep medicine journals. All papers published between 2017 and 2023 reporting SpO2 measurements were screened regarding the AVT used. Results: Of 193 papers identified, 151 were included; of these, only 9 studies mentioned the AVT, 4 of these were published in one journal. The AVT ranged from zero (beat-to-beat-mode) to 10s, with 3s being used most often (33.3%), followed by 2s (22.2%). Conclusion: The AVT is only rarely mentioned in sleep medicine papers, despite its influence on sleep study results. Reported AVTs were heterogenous. Further research is warranted to set up guidelines for using or reporting the AVT.

Correction: Azam et al. Heavy Metal Ions Removal from Aqueous Solutions by Treated Ajwa Date Pits: Kinetic, Isotherm, and Thermodynamic Approach. Polymers 2022, 14, 914.

In the original publication, there was a mistake in Figure 2B as the wrong image was uploaded [...].

Design and development of a compact, wide-angle metamaterial electromagnetic energy harvester with multiband functionality and polarization-insensitive features.

This article presents a compact, wide-angle, polarization-insensitive metamaterial harvester that can efficiently harvest electromagnetic (EM) energy in the S, C, X, and Ku bands. The harvester's unit cell consists of a split ring resonator, two strip lines, and two split strip lines, giving it a total size of (10 × 10) mm2. Each split gap is filled with a 50 Ω resistive load. The input impedance of the harvester is precisely designed to match that of free space, allowing for efficient absorption of EM power and appropriate redirection towards the resistive loads. The harvester's performance is also evaluated for various polarization and incident angles, considering the Transverse Electric and Transverse Magnetic modes. The simulation results reveal that the proposed harvester exhibits a notably greater conversion efficiency of around > 95%. The simulation outcomes were carefully validated through experimental tests conducted in an anechoic chamber using a 3 × 3 cell array of the proposed design. This ensured the accuracy and reliability of the results. The strong correlation between the experimental data and the full-wave simulations strongly supports the effectiveness of the proposed harvester. Therefore, the demonstrated efficiency and compact size make it a perfect fit for energy harvesting systems in wireless sensor networks.

Validation of the Bangla version of the Communication Skills Attitude Scale with the medical students of Bangladesh.

Background: Effective communication skill of physicians is an important component of high-quality healthcare delivery and safe patient care. Communication is embedded in the social and cultural contexts where it takes place. An understanding of medical students' attitudes and learning communication skills would help to design and deliver culturally appropriate medical education. The Communication Skills Attitude Scale (CSAS) is a widely used and validated tool to measure the attitude of medical students toward learning communication skills in different populations, settings, and countries. However, there is no culturally adapted and validated scale in Bangla in the Bangladesh context. This study aims to culturally adapt the CSAS into Bangla, and validate it in a cohort of medical students in Bangladesh. Methods: This study used a cross-sectional survey design to collect data from purposively selected 566 undergraduate medical students from the Rajshahi division. The survey was conducted from January to December 2023. Descriptive statistics like frequency distribution and measures of central tendency were used to measure perception regarding communication skills. The sample adequacy was measured through the Kaiser-Meyer-Olkin test. The internal consistency of the items was identified using Cronbach's alpha (α) coefficients. Result: The results of the study show that the Bangla version of the scale is feasible, valid, and internally consistent in the context of a developing country, Bangladesh. The overall internal consistency of the Bangla version is good since the value of Cronbach's alpha (α) is 0.882. For PAS, the internal consistency is 0.933. While, for NAS, the value is 0.719. The item-wise average scores in the PAS indicate that female medical students are more willing to learn communication skills compared with male students (α = 0.933). While, the scores in the NAS indicate that the male students tend to have more negative attitude toward learning communication skills compared with female students (α = 0.719). Conclusion: The CSAS-Bangla is a valid and reliable tool for assessing communication skill attitudes among Bangla speaking medical students. This scale can be used in future studies to measure the attitude of students, designing and evaluating communication skills training programs in medical colleges.

Exploiting spirooxindoles for dual DNA targeting/CDK2 inhibition and simultaneous mitigation of oxidative stress towards selective NSCLC therapy; synthesis, evaluation, and molecular modelling studies.

The unique structure of spirooxindoles and their ability to feature various pharmacophoric motifs render them privileged scaffolds for tailoring new multitarget anticancer agents. Herein, a stereoselective multicomponent reaction was utilized to generate a small combinatorial library of pyrazole-tethered spirooxindoles targeting DNA and CDK2 with free radical scavenging potential as an extra bonus. The designed spirooxindoles were directed to combat NSCLC via inducing apoptosis and alleviating oxidative stress. The series' absolute configuration was assigned by X-ray diffraction analysis. Cytotoxicity screening of the developed spirooxindoles against NSCLC A549 and H460 cells compared to normal lung fibroblasts Wi-38 revealed the sensitivity of A549 cells to the compounds and raised 6e and 6h as the study hits (IC50 ∼ 0.09 µM and SI > 3). They damaged DNA at 24.6 and 35.3 nM, and surpassed roscovitine as CDK2 inhibitors (IC50 = 75.6 and 80.2 nM). Docking and MDs simulations postulated their receptors binding modes. The most potent derivative, 6e, induced A549 apoptosis by 40.85% arresting cell cycle at G2/M phase, and exhibited antioxidant activity in a dose-dependent manner compared to Trolox as indicated by DPPH scavenging assay. Finally, in silico ADMET analysis predicted the drug-likeness properties of 6e.

Prevalence and predictors of musculoskeletal injuries among gym members in Bangladesh: A nationwide cross-sectional study.

BACKGROUND: Participating in physical exercise is advantageous for maintaining optimum health, improving physical capacity, decreasing the likelihood of chronic diseases, and promoting overall wellbeing. AIM: This study aimed to find out the prevalence and factors that contribute to musculoskeletal injuries among individuals who participated in fitness activities at the gym. METHODS: This cross-sectional study included 1123 gym members, both male and female, aged between 18 and 50 years, from selected fitness centers in Bangladesh. Musculoskeletal injuries were assessed using the Nordic musculoskeletal disorder questionnaire. Binary logistic regression identified the gym members' predictors of musculoskeletal injuries. RESULTS: The highest prevalence of musculoskeletal injuries at the low back (36.6%) was seen among the eight body sites, followed by the shoulder (24.7%) and knee (17.1%). Males (aOR 2.589, CI 1.18 to 5.65) and those who go to the gym to lose weight (aOR 3.859, CI 0.91 to 16.33) and for physical fitness (aOR 1.895, CI 1.07 to 3.35) had a greater risk of musculoskeletal injury. Participants who carried out strength training exercises (aOR 4.10, CI 2.74 to 6.19) had a four-fold increased risk of musculoskeletal injuries than those who did not. Furthermore, higher adjusted odds of musculoskeletal injuries were found for the potential causes of injuries in incorrect holding (aOR 1.69, CI 1.10 to 2.60), overweight lifting (aOR 2.00, CI 1.30 to 3.08), lack of workout knowledge (aOR 3.56, CI 2.09 to 5.85), and insufficient information from the trainer (aOR 5.66, CI 1.84 to 17.39). CONCLUSION: Musculoskeletal injuries are highly prevalent among gym-goers in Bangladesh. The back was the most often injured area, followed by the shoulder and knee. It is important to exhibit caution and take extra care while doing strength training activities in order to avoid injury. Prior to engaging in gym-based activities, it is essential to have a thorough understanding of proper exercise knowledge.

Anti-solvent materials enhanced structural and optical properties on ambiently fabricated perovskite thin films.

Perovskite solar cells (PSCs) hold potential for low-cost, high-efficiency solar energy, but their sensitivity to moisture limits practical application. Current fabrication requires controlled environments, limiting mass production. Researchers aim to develop stable PSCs with longer lifetimes under ambient conditions. In this research work, we investigated the stability of perovskite films and solar cells fabricated and annealed in natural air using four different anti-solvents: toluene, ethyl acetate, diethyl ether, and chlorobenzene. Films (about 300 nm thick) were deposited via single-step spin-coating and subjected to ambient air-atmosphere for up to 30 days. We monitored changes in crystallinity, electrical properties, and optics over time. Results showed a gradual degradation in the films' crystallinity, morphology, and electro-optical properties. Notably, films made with ethyl acetate exhibited superior stability compared to other solvents. These findings contribute to advancing stable and high-performance PSCs manufactured under normal ambient conditions. In addition, we also discuss the possible machine learning (ML) approach to our future work direction to optimize the materials structures, and synthesis process parameters for future high-efficient perovskite solar cells fabrication.

Mobile game addiction and its association with musculoskeletal pain among students: A cross-sectional study.

BACKGROUND: The purpose of this study was to ascertain whether there is a difference in musculoskeletal pain between those who are addicted to mobile games and those who are not, to ascertain the association between mobile game addiction and socio-demographic variables, and to ascertain the pain predictor for mobile game addiction on different musculoskeletal regions. METHODS: There were 840 students in all, both males and females, in this cross-sectional survey from three distinct Bangladeshi institutions. The Nordic Musculoskeletal Discomfort Questionnaire, the Gaming Addiction Scale, and the demographic data form were distributed to the participants. The data were analyzed using the Chi-square test and descriptive statistics. Binary logistic regression was used to find the predicted risk factor for mobile gaming addiction. RESULTS: Musculoskeletal pain affects 52.1% of participants in some part of the body. Males have a 2.01-fold higher likelihood of developing gaming addiction compared to females. Those who are addicted to mobile games experience a higher occurrence of pain in the neck, upper back, elbows, and wrist and hands with a odds ratio of (OR 2.84, 95% CI: 1.49-5.36; p = 0.016), (OR 3.75, 95% CI 1.97-7.12; p = <0.001), (OR 3.38, 95% CI 1.34-8.50; p = 0.010), and (OR 2.14, 95% CI 1.00-4.57; p = 0.049) respectively. CONCLUSION: These results demonstrate that mobile gaming addiction raises students' risk of musculoskeletal discomfort. Two-three times higher risk of developing pain in the neck, upper back, elbows, and wrist and hands among mobile game addicts.

Studying the Pulmonary Endothelium in Health and Disease. An Official American Thoracic Society Workshop Report.

Lung endothelium resides at the interface between the circulation and the underlying tissue, where it senses biochemical and mechanical properties of both the blood as it flows through the vascular circuit and the vessel wall. Endothelium performs the bidirectional signaling between the blood and tissue compartments that is necessary to maintain homeostasis while physically separating both, facilitating a tightly regulated exchange of water, solutes, cells, and signals. Disruption in endothelial function contributes to vascular disease, which can manifest in discrete vascular locations along the arterial-to-capillary-to-vein axis. While our understanding of mechanisms that contribute to endothelial cell injury and repair in acute and chronic vascular disease have advanced, pathophysiological mechanisms that underlie site-specific vascular disease remain incompletely understood. In an effort to improve the translatability of mechanistic studies of the endothelium, the American Thoracic Society convened a workshop to optimize rigor, reproducibility, and translation of discovery to advance our understanding of endothelial cell function in health and disease.

An in vitro 3-dimensional Collagen-based Corneal Construct with Innervation Using Human Corneal Cell Lines.

Purpose: To develop a 3-dimensional corneal construct suitable for in vitro studies of disease conditions and therapies. Design: In vitro human corneal constructs were created using chemically crosslinked collagen and chondroitin sulfate extracellular matrix and seeded with 3 human corneal cell types (epithelial, stromal, and endothelial) together with neural cells. The neural cells were derived from hybrid neuroblastoma cells and the other cells used from immortalized human corneal cell lines. To check the feasibility and characterize the constructs, cytotoxicity, cell proliferation, histology, and protein expression studies were performed. Results: Optimized culture condition permitted synchronized viability across the cell types within the construct. The construct showed a typical appearance for different cellular layers, including healthy appearing, phenotypically differentiated neurons. The expected protein expression profiles for specific cell types within the construct were confirmed with western blotting. Conclusions: An in vitro corneal construct was successfully developed with maintenance of individual cell phenotypes with anatomically correct cellular loci. The construct may be useful in evaluation of specific corneal disorders and in developing different corneal disease models. Additionally, the construct can be used in evaluating drug targeting and/or penetration to individual corneal layers, testing novel therapeutics for corneal diseases, and potentially reducing the necessity for animals in corneal research at the early stages of investigation. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Bioinformatics analysis to disclose shared molecular mechanisms between type-2 diabetes and clear-cell renal-cell carcinoma, and therapeutic indications.

Type 2 diabetes (T2D) and Clear-cell renal cell carcinoma (ccRCC) are both complicated diseases which incidence rates gradually increasing. Population based studies show that severity of ccRCC might be associated with T2D. However, so far, no researcher yet investigated about the molecular mechanisms of their association. This study explored T2D and ccRCC causing shared key genes (sKGs) from multiple transcriptomics profiles to investigate their common pathogenetic processes and associated drug molecules. We identified 259 shared differentially expressed genes (sDEGs) that can separate both T2D and ccRCC patients from control samples. Local correlation analysis based on the expressions of sDEGs indicated significant association between T2D and ccRCC. Then ten sDEGs (CDC42, SCARB1, GOT2, CXCL8, FN1, IL1B, JUN, TLR2, TLR4, and VIM) were selected as the sKGs through the protein-protein interaction (PPI) network analysis. These sKGs were found significantly associated with different CpG sites of DNA methylation that might be the cause of ccRCC. The sKGs-set enrichment analysis with Gene Ontology (GO) terms and KEGG pathways revealed some crucial shared molecular functions, biological process, cellular components and KEGG pathways that might be associated with development of both T2D and ccRCC. The regulatory network analysis of sKGs identified six post-transcriptional regulators (hsa-mir-93-5p, hsa-mir-203a-3p, hsa-mir-204-5p, hsa-mir-335-5p, hsa-mir-26b-5p, and hsa-mir-1-3p) and five transcriptional regulators (YY1, FOXL1, FOXC1, NR2F1 and GATA2) of sKGs. Finally, sKGs-guided top-ranked three repurposable drug molecules (Digoxin, Imatinib, and Dovitinib) were recommended as the common treatment for both T2D and ccRCC by molecular docking and ADME/T analysis. Therefore, the results of this study may be useful for diagnosis and therapies of ccRCC patients who are also suffering from T2D.

CottonFabricImageBD: An image dataset characterized by the percentage of cotton in a fabric for computer vision-based garment recycling.

The utilization of computer vision techniques has significantly enhanced the automation processes across various industries, including textile manufacturing, agriculture, and information technology. Specifically, in the domain of textile manufacturing, these techniques have revolutionized the detection of fiber defects and the quantification of cotton content in fabrics. Traditionally, the assessment of cotton percentages was a labor-intensive and time-consuming process that relied heavily on manual testing methods. However, the adoption of computer vision approaches requires a comprehensive dataset of fabric samples, each with a known cotton percentage, to serve as training data for machine learning models. This paper introduces a novel dataset comprising 1300 original images, covering a wide range of cotton percentages across thirteen distinct categories, from 30% to 99%. By employing image augmentation techniques, such as- rotation, horizontal flip, vertical flip, width shift, height shift, shear range, and zooming, this dataset has been expanded to include a total of 27,300 images, thereby enhancing its utility for training and validating computer vision models aimed at accurately determining cotton content in fabrics. Through the extraction of pertinent features from the images of fabrics, this dataset holds the potential to significantly improve the accuracy and efficiency of computer vision-based cotton percentage detection.