Dual-Mode Reconfigurable Split-Gate Logic Transistor through Van der Waals Integration.

As silicon-based transistors approach their physical size limitations, two-dimensional material-based reconfigurable functional electronic devices are considered the most promising novel device architectures beyond Moore strategies. While these devices have garnered significant attention, they often require complex device fabrication processes and extra electric fields. Additionally, the device performance is usually limited by the metal-semiconductor interface properties. In this Letter, we have constructed a reconfigurable logic device based on a WSe2 transistor with a nanofloating gate and split-gates through van der Waals integration. This device achieves a small Schottky barrier height due to the van der Waals contacts. By varying the split-gate biases, we can realize volatile reconfigurable homojunctions as well as AND, OR, NOR, and NAND logic operations with just a single device. Furthermore, with the charge trapping effect of nanofloating gate, we can also achieve nonvolatile reconfigurable homojunctions, as well as AND and OR logic operations. The volatile and nonvolatile logic operations are similar to the short-term plasticity and long-term plasticity, respectively, of synapses in the human brain. This work offers a potential approach for creating novel reconfigurable functional electronic devices with a simple fabrication process and low cost.

Ketogenic diet effectiveness is superior for drug resistant epilepsy with causative genetic mutation than those without genetic etiology.

AIM: Epilepsy with genetic etiology is high prevalence of DRE, which is reported responsive to ketogenic diet therapy (KDT). Our retrospective cohort study attempted to investigate the KD responsiveness between DRE with genetic and non-genetic etiology. METHOD: Non-fasting gradual KD initiation protocol (GRAD-KD) and five-day diet program was implemented. Participants were categorized into genetic epilepsy or non-genetic epilepsy groups based on genetic tests. Monthly seizure frequencies and seizure reduction rate after KDT 3 months and 6 months were compared between two groups. RESULTS: Forty-six patients with genetic epilepsy and ninety-four patients with non-genetic epilepsy were recruited. Among 46 patients with genetic epilepsy, 12 patients withdrew from diet before 3 months of KDT, and 7 patients withdrew from diet before 6 months of KDT, thus, 27 patients retained the diet. Among 94 patients with non-genetic epilepsy, 20 patients withdrew from diet before 3 months of KDT, and 21 patients withdrew from diet before 6 months of KDT, 53 patients retained the diet. For the 46 patients with genetic epilepsy, 12 patients had pathogenic variants related to developmental and epileptic encephalopathy (DEE), whereas other 34 patients had disease-causing variants other than DEE. The mean monthly seizure frequencies showed significantly decreased both in patient with genetic-and non-genetic epilepsy after 6 months of KDT, however, the seizure reduction rate was significantly higher in patients with genetic epilepsy than patients with non-genetic epilepsy after 6 months of KDT. In addition, our data demonstrated that KDT could significantly reduce seizure burden in patients with non-DEE than patients with DEE. In addition, the patients with non-DEE significantly achieved greater seizure reduction rate than patients with DEE after 6 months of KDT. INTERPRETATION: Our data highlighted that KD effectiveness is more outstanding in decreasing seizure burdens for epileptic patients with genetic etiology than those without causative gene mutation. Additionally, KDT is also significantly effective for decreasing more seizure burdens for non-DEE patients than for DEE patients. We suggested epileptic patients caused by genetic mutation should implement KDT as early as possible.

[Pelvic floor muscle training combined with electroacupuncture for bladder dysfunction after incomplete spinal cord injury: a randomized controlled trial].

OBJECTIVE: To observe the efficacy of pelvic floor muscle training combined with electroacupuncture (EA) for bladder dysfunction after incomplete spinal cord injury (SCI). METHODS: Ninety patients with bladder dysfunction after incomplete SCI were randomly divided into an EA group (30 cases), a pelvic floor muscle training group (30 cases, 1 case dropped out), and a combined group (30 cases, 1 case dropped out). All groups received routine rehabilitation. The EA group received EA at Zhongji (CV 3), Guanyuan (CV 4), Mingmen (GV 4), Yaoyangguan (GV 3), bilateral Shenshu (BL 23), Ciliao (BL 32), and Pangguangshu (BL 28), with continuous waves at frequency of 100 Hz, and the needles were retained for 30 min, once daily, 6 times a week for 6 weeks. The pelvic floor muscle training group underwent pelvic floor muscle training two times a day, for 6 weeks. The combined group received both EA and pelvic floor muscle training. The daily average number of urinations, daily average number of urinary leakages, urodynamic indexes (residual urine volume, maximum bladder capacity, bladder compliance, and maximum urine flow rate), and generic quality of life inventory-74 (GQOLI-74) were compared before and after treatment in each group. RESULTS: Compared before treatment, the daily average number of urinations and urinary leakages were decreased (P<0.05), residual urine volume, maximum bladder capacity, and bladder compliance were reduced (P<0.05), and maximum urine flow rate and GQOLI-74 scores were increased (P<0.05) after treatment in all groups. After treatment, the combined group showed greater differences in the daily average number of urinations, daily average number of urinary leakages, residual urine volume, maximum bladder capacity, bladder compliance, maximum urine flow rate, and GQOLI-74 score compared to the EA group and the pelvic floor muscle training group (P<0.05). There was no statistically significant differences in the changes in these indexes between the EA group and the pelvic floor muscle training group (P>0.05). CONCLUSION: Pelvic floor muscle training combined with EA can effectively alleviate urination problems in patients with bladder dysfunction after incomplete SCI, improve bladder function, and enhance patients' quality of life.

Radial Egg White Hydrogel Releasing Extracellular Vesicles for Cell Fate Guidance and Accelerated Diabetic Skin Regeneration.

Topology and bioactive molecules are crucial for stimulating cellular and tissue functions. To regulate the chronic wound microenvironment, mono-assembly technology is employed to fabricate a radial egg white hydrogel loaded with lyophilized adipose tissue-extracellular vesicles (radial EWH@L-EVs). The radial architecture not only significantly modified the gene expression of functional cells, but also achieved directional and controlled release kinetics of L-EVs. Through the synergy of topographical and inherent bioactive cues, radial EWH@L-EVs effectively reduced intracellular oxidative stress and promoted the polarization of macrophages toward an anti-inflammatory phenotype during the inflammatory phase. Afterward, radial EWH@L-EVs facilitated the centripetal migration and proliferation of fibroblasts and endothelial cells as the wound transitioned to the proliferative phase. During the latter remodeling phase, radial EWH@L-EVs accelerated the regeneration of granulation tissue, angiogenesis, and collagen deposition, thereby promoting the reorganization chronic wound. Compared with the gold standard collagen scaffold, radial EWH@L-EVs actively accommodated the microenvironment via various functions throughout all stages of diabetic wound healing. This can be attributed to the orientation of topological structures and bioactive molecules, which should be considered of utmost importance in tissue engineering.

Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study.

Background: Controlling saturated fat and cholesterol intake is important for the prevention of cardiovascular diseases. Although the use of mobile diet-tracking apps has been increasing, the reliability of nutrition apps in tracking saturated fats and cholesterol across different nations remains underexplored. Objective: This study aimed to examine the reliability and consistency of nutrition apps focusing on saturated fat and cholesterol intake across different national contexts. The study focused on 3 key concerns: data omission, inconsistency (variability) of saturated fat and cholesterol values within an app, and the reliability of commercial apps across different national contexts. Methods: Nutrient data from 4 consumer-grade apps (COFIT, MyFitnessPal-Chinese, MyFitnessPal-English, and LoseIt!) and an academic app (Formosa FoodApp) were compared against 2 national reference databases (US Department of Agriculture [USDA]-Food and Nutrient Database for Dietary Studies [FNDDS] and Taiwan Food Composition Database [FCD]). Percentages of missing nutrients were recorded, and coefficients of variation were used to compute data inconsistencies. One-way ANOVAs were used to examine differences among apps, and paired 2-tailed t tests were used to compare the apps to national reference data. The reliability across different national contexts was investigated by comparing the Chinese and English versions of MyFitnessPal with the USDA-FNDDS and Taiwan FCD. Results: Across the 5 apps, 836 food codes from 42 items were analyzed. Four apps, including COFIT, MyFitnessPal-Chinese, MyFitnessPal-English, and LoseIt!, significantly underestimated saturated fats, with errors ranging from -13.8% to -40.3% (all P<.05). All apps underestimated cholesterol, with errors ranging from -26.3% to -60.3% (all P<.05). COFIT omitted 47% of saturated fat data, and MyFitnessPal-Chinese missed 62% of cholesterol data. The coefficients of variation of beef, chicken, and seafood ranged from 78% to 145%, from 74% to 112%, and from 97% to 124% across MyFitnessPal-Chinese, MyFitnessPal-English, and LoseIt!, respectively, indicating a high variability in saturated fats across different food groups. Similarly, cholesterol variability was consistently high in dairy (71%-118%) and prepackaged foods (84%-118%) across all selected apps. When examining the reliability of MyFitnessPal across different national contexts, errors in MyFitnessPal were consistent across different national FCDs (USDA-FNDSS and Taiwan FCD). Regardless of the FCDs used as a reference, these errors persisted to be statistically significant, indicating that the app's core database is the source of the problems rather than just mismatches or variances in external FCDs. Conclusions: The findings reveal substantial inaccuracies and inconsistencies in diet-tracking apps' reporting of saturated fats and cholesterol. These issues raise concerns for the effectiveness of using consumer-grade nutrition apps in cardiovascular disease prevention across different national contexts and within the apps themselves.

Quantitative Characterization of the Impact of Protein-Protein Interactions on Ligand-Protein Binding: A Multi-Chain Dynamics Perturbation Analysis Method.

Many protein-protein interactions (PPIs) affect the ways in which small molecules bind to their constituent proteins, which can impact drug efficacy and regulatory mechanisms. While recent advances have improved our ability to independently predict both PPIs and ligand-protein interactions (LPIs), a comprehensive understanding of how PPIs affect LPIs is still lacking. Here, we examined 63 pairs of ligand-protein complexes in a benchmark dataset for protein-protein docking studies and quantified six typical effects of PPIs on LPIs. A multi-chain dynamics perturbation analysis method, called mcDPA, was developed to model these effects and used to predict small-molecule binding regions in protein-protein complexes. Our results illustrated that the mcDPA can capture the impact of PPI on LPI to varying degrees, with six similar changes in its predicted ligand-binding region. The calculations showed that 52% of the examined complexes had prediction accuracy at or above 50%, and 55% of the predictions had a recall of not less than 50%. When applied to 33 FDA-approved protein-protein-complex-targeting drugs, these numbers improved to 60% and 57% for the same accuracy and recall rates, respectively. The method developed in this study may help to design drug-target interactions in complex environments, such as in the case of protein-protein interactions.

High-capacity adsorption of organic dyes using separable pullulan gel encapsulated with PDA-modified ZIF-8.

In this investigation, a hydrogel adsorbent featuring remarkable efficiency in dye adsorption was successfully synthesized by the integration of natural polysaccharide (pullulan) and nanoparticles (ZIF-8@PDA). The prepared natural polysaccharide nanocomposite hydrogels not only exhibit superior mechanical strength and biocompatibility, but also demonstrate adeptness in the removal of dye pollutants. The dye removal capacities were 615.4 mg/g for malachite green (MG) and 525.8 mg/g for Congo red (CR), respectively. Notably, the adsorption process exhibits minimal susceptibility to variations in water quality and the presence of co-existing ions. The pH-responsive surface charge conversion capability of the adsorbent renders it recyclable, maintaining a dye adsorption performance exceeding 88 % even after 5 cycles of repeated usage. Overall, these environmentally friendly natural polysaccharide nanocomposite hydrogels hold potential for addressing complex wastewater treatment challenges and long-term use.

Facile synthesis of ATTM@ZIF-8 modified pullulan hydrogels for enhanced adsorption of Congo red and malachite green.

Efficient capture of dyes from wastewater is of great importance for environmental remediation. Yet constructing adsorbents with satisfactory adsorption efficiency and low cost remains a major challenge. This work reports a simple and scalable method for the fabrication of functionalized porous pullulan hydrogel adsorbent decorated with ATTM@ZIF-8 for the adsorption of congo red (CR) and malachite green (MG). The embedding of ammonium tetrathiomolybdate (ATTM) into the ZIF-8 nanoclusters offered additional adsorption sites and enlarged the pore size of the resulting ATTM@ZIF-8. The homogeneous dispersion of the nanoparticles in the three-dimensional network of polysaccharide gels prevents their agglomeration and thus improves the affinity for dye molecules. The resulting adsorbent AZP-20 at optimized composite ratios exhibits high activity, selectivity, interference resistance, reusability and cytocompatibility in dye adsorption applications, and possesses high removal rate of dye in real water systems. Batch experiments demonstrated that the adsorption rate of AZP-20 for MG and CR was 1645.28 mg g-1 and 680.33 mg g-1, and would be influenced by pH conditions. Adsorption kinetics followed pseudo-second-order model. Adsorption isotherms followed Langmuir model for MG and Freundlich model for CR. The adsorption of dye molecules primarily relied on electrostatic interaction (MG) and π-π stacking interaction (CR). Conclusively, the prepared AZPs adsorbent illuminated good application prospects in the treatment of complex component dye wastewater.

Biomimetic Cell Membrane-Coated Nanoparticles for Cancer Theranostics.

Nanoparticles can enhance drugs accumulating at the tumor site and hold tremendous promise for achieving effective tumor treatment. However, due to the complexity of cancer heterogeneity and suppressive tumor microenvironment, the delivery of traditional nanoparticles has poor infiltration and off-target effects, making it difficult to control the drug release rate and causing off-target toxicity. In recent years, cell membrane-coated biomimetic nanoparticles have been developed, which have both the natural characteristics of biomembranes and the physical characteristics of traditional nanoparticles, thus improving the homologous targeting ability of nanoparticles to tumor cells and better biocompatibility. In this paper, we reviewed the application of single cell membrane and hybrid cell membrane-coated biomimetic nanoparticles in the integration for tumor diagnosis and treatment. We talked about the preparation methods of cell membrane-coated nanoparticles, the targeting mechanisms, and the effects of imaging and therapeutic outcomes of different cell membrane-coated biomimetic nanoparticles in detail. Finally, we discussed the existing problems and prospects of cell membrane-coated biomimetic nanomaterials.

Electrochemical treatment of simulated wastewater containing nitroaromatic compound with cobalt-titanium electrode.

The Co3O4-Ti electrodes were successfully prepared via calcination method to degrade nitrogen-containing (TNP) simulate wastewater in this reaserch. SEM and EDS were employed to analyze the morphology and element composition on Co3O4-Ti electrode, revealing the successful load of cobalt element. Then the electrochemical performance was evaluated by CV and indicated a better redox performance of electrode. Furthermore, five factors as processing time (A), electrolyte concentration (B), pH (C), initial concentration of TNP (D), and current density (E) were systematic studied in electrical treatment process. The removal rate of TN could be 77%. After the optimization work by RSM, the removal rate of TN raised up to 81% with the condition as: A of 180 min, B of 0.05 M, C of 3, D of 400 mg L-1, and E of 20 mA cm-2. The sequence of significants is: C > D > A > E > B. Mechanism analysis revealed that the entire process could be divided into two stages. In the first stage, organic nitrogen compounds were converted into inorganic nitrogen species, such as NO3-N. The oxidation and reduction would react owing to the generating of ·OH at second stage in order to turn the NO3-N into NO2-N, NH4-N or N2. The activation of ·OH on the surface of Co3O4-Ti electrode possesses the exothermic nature with transition theory. The energy calculation of 1.168 eV indicated these reactions could occur spontaneously.

Near-Infrared Response Organic Synaptic Transistor for Dynamic Trace Extraction.

The development of neuromorphic hardware capable of detecting and recognizing moving targets through an in-sensor computing strategy is considered to be an important component of the construction of edge computing systems with distributed computation. In addition to responsiveness to visible light, the implementation of neuromorphic hardware should also demonstrate the ability to sense and process nonvisible light, which is essential for tracking target object trajectories in specialized environments. In this work, we fabricated an organic synaptic transistor with a near-infrared (NIR) response by incorporating doped LaF3: Yb/Ho upconversion quantum dots (UCQDs) into the channel of a Poly3-hexylthiophene (P3HT)-based organic field effect transistor (FET), serving as charge trapping and infrared sensing sites. The obtained synaptic transistor not only replicates common synaptic behaviors when exposed to NIR illumination but also demonstrates potential applications for the dynamic trajectory recognition of animals in the dark. Compared to other monitoring technologies, P3HT transistors doped with LaF3: Yb/Ho UCQDs exhibit distinct advantages, including a NIR response, high-efficiency computing, and sensitivity, which provide an experimental foundation and a design reference for the development of next-generation intelligent dynamic image recognition systems.

Mechanical Grinding-Induced Intermolecular Charge Transfer for Near-Infrared Photothermal Conversion.

In this study, charge-transfer-type compounds comprising synthesized naphthalenediimide derivative (H4NDISA) or its Pb-based coordination polymer (Pb-NDISA) and suitable primary or secondary amine organic molecules were prepared by the solvent-free mechanical grinding method. The coloration phenomenon arising from charge transfer during grinding serves as a discriminative tool for distinguishing various organic guest molecules. The porous structure of Pb-NDISA crystals facilitates the infiltration of guest molecules and contributes to the preservation of the intermolecular charge transfer state. Moreover, the intermolecular charge transfer induced by grinding exhibits remarkable stability in an ambient atmosphere, underscoring the pivotal role of well-ordered molecules in the mechanical grinding procedure. This mechanochromic phenomenon holds promise for the detection and sensing of organic molecules, while the exceptional charge-transfer absorption characteristics offer the potential for efficient near-infrared photothermal conversion.

Characteristics of Sleep Disturbance and Comparison Across Three Waves of the COVID-19 Pandemic Among Healthcare Workers.

OBJECTIVE: Healthcare workers (HCWs) suffered from a heavy mental health burden during the coronavirus disease-2019 (COVID-19) pandemic. We aimed to explore the differences in sleep disturbance in three waves of the COVID-19 pandemic in Taiwan among HCWs. Moreover, factors associated with sleep disturbances in the third wave were investigated. METHODS: This study, with three waves of cross-sectional surveys, recruited first-line and second-line HCWs. The level of sleep disturbance and related demographic variables were collected through self-report questionnaires. Differences in sleep disturbance across the three waves were compared with analysis of variance. Factors associated with the level of sleep disturbance were identified using univariate linear regression and further used for multivariate stepwise and bootstrap linear regression to identify the independent predictors. RESULTS: In total, 711, 560, and 747 HCWs were included in the first, second, and third waves, respectively. For first-line HCWs, sleep disturbance was significantly higher in the third wave than in the first wave. The level of sleep disturbance gradually increased across the three waves for all HCWs. In addition, sleep disturbance was associated with depression, posttraumatic stress disorder (PTSD) symptoms, anxiety about COVID-19, vaccine mistrust, and poorer physical and mental health among first-line HCWs. Among second-line HCWs, sleep disturbance was associated with younger age, depression, PTSD symptoms, lower preference for natural immunity, and poorer physical health. CONCLUSION: The current study identified an increase in sleep disturbance and several predictors among HCWs. Further investigation is warranted to extend the application and generalizability of the current study.

Zeolitic Framework Ta and MoO3 Confined in Beta Zeolite Cooperatively Enhance Activity and Stability for Oxidative Desulfurization.

Oxidative desulfurization (ODS), as a novel desulfurization technique of fuel oil, possesses high desulfurization efficiency for aromatic sulfide and low cost, making it a promising approach. The key to the technology lies in the rational design of catalysts with high activity and stability. Polyoxometalates, which are environmentally friendly, cost-effective, and abundantly available, face constraints in the development of ODS applications due to their low specific surface area and difficulty in regeneration. Introducing metal oxides into carriers with large specific surface areas to obtain heterogeneous catalysts is an effective solution to this problem. Beta zeolites, with regular three-dimensional channel systems, large specific surface area, and superior thermal/hydrothermal stability, are usually used as carriers. In this work, we developed a strategy to enhance zeolite carrier utilization efficiency by introducing Ta5+ species into the rigid framework of zeolites containing confined MoO3. The Ta species in the zeolite framework and the confined MoO3 produce a synergistic effect, exhibiting extremely high catalytic activity for the aerobic oxidative desulfurization of various organic aromatic sulfur compounds under mild conditions (90 °C and atmospheric pressure) in a deep eutectic solvent, surpassing common heterogeneous catalysts for oxidative desulfurization. Moreover, it can resist the adverse effects of interferents, such as naphthalene and indole. Additionally, the confined nature of Beta zeolite endows it with exceptional stability, demonstrating distinctive recyclability.

Recent advances in artificial neuromorphic applications based on perovskite composites.

High-performance perovskite materials with excellent physical, electronic, and optical properties play a significant role in artificial neuromorphic devices. However, the development of perovskites in microelectronics is inevitably hindered by their intrinsic non-ideal properties, such as high defect density, environmental sensitivity, and toxicity. By leveraging materials engineering, integrating various materials with perovskites to leverage their mutual strengths presents great potential to enhance ion migration, energy level alignment, photoresponsivity, and surface passivation, thereby advancing optoelectronic and neuromorphic device development. This review initially provides an overview of perovskite materials across different dimensions, highlighting their physical properties and detailing their applications and metrics in two- and three-terminal devices. Subsequently, we comprehensively summarize the application of perovskites in combination with other materials, including organics, nanomaterials, oxides, ferroelectrics, and crystalline porous materials (CPMs), to develop advanced devices such as memristors, transistors, photodetectors, sensors, light-emitting diodes (LEDs), and artificial neuromorphic systems. Lastly, we outline the challenges and future research directions in synthesizing perovskite composites for neuromorphic devices. Through the review and analysis, we aim to broaden the utilization of perovskites and their composites in neuromorphic research, offering new insights and approaches for grasping the intricate physical working mechanisms and functionalities of perovskites.

PI4P-mediated solid-like Merlin condensates orchestrate Hippo pathway regulation.

Despite recent studies implicating liquid-like biomolecular condensates in diverse cellular processes, many biomolecular condensates exist in a solid-like state, and their function and regulation are less understood. We show that the tumor suppressor Merlin, an upstream regulator of the Hippo pathway, localizes to both cell junctions and medial apical cortex in Drosophila epithelia, with the latter forming solid-like condensates that activate Hippo signaling. Merlin condensation required phosphatidylinositol-4-phosphate (PI4P)-mediated plasma membrane targeting and was antagonistically controlled by Pez and cytoskeletal tension through plasma membrane PI4P regulation. The solid-like material properties of Merlin condensates are essential for physiological function and protect the condensates against external perturbations. Collectively, these findings uncover an essential role for solid-like condensates in normal physiology and reveal regulatory mechanisms for their formation and disassembly.

Oral microbiota diversity in moderate to severe plaque psoriasis, nail psoriasis and psoriatic arthritis.

Gaining a comprehensive understanding of the role played by the oral microbiome in moderate to severe plaque psoriasis and its potential implications for disease management and development holds significant importance. With the objective of exploring correlations between the oral microbiota and severe psoriasis, this study involved 72 severe psoriasis patients and 16 healthy individuals, whose clinical manifestations and living habits were carefully recorded. Cutting-edge techniques such as 16S rRNA gene sequencing and bioinformatics analysis were employed to compare the microbial flora, investigating dynamic changes among severe plaque psoriasis patients, psoriatic arthritis patients and healthy individuals. The findings revealed noteworthy patterns including increased levels of Aggregatibacter in the psoriatic arthritis group, accompanied by a decrease in the level of Prevotella. Moreover, the enrichment o Capnocytandophaga (P = 0.009), Campylobacter (P = 0.0022), and Acetobacter (P = 0.0292) was notably more substantial in the psoriasis group compared to the control group, whereas certain bacterial species such as Bacteroides (P = 0.0049), Muribaculaceae (P = 0.0048) demonstrated decreased enrichment. Additionally, the psoriatic arthritis group exhibited significantly higher levels of Ralstonia, Bifidobacterium and Micromonospora. Based on these findings, it can be inferred that individuals with lower levels of Prevotella and higher levels of Corynebacterium may be more susceptible to psoriasis exacerbation.

Structural Design and Performance of Cut-Resistant Fabrics with Concave-Convex Arrays.

As the risk of social security increases, it is crucial to develop flexible protective materials that combine flexibility with high protective performance. Ultra-high-molecular-weight polyethylene (UHMWPE) was selected as the raw material, and four types of flat-knitting cut-resistant fabrics were ultimately designed and prepared from a three-dimensional longitudinal dimension and concave-convex array structure based on rib knitting. A series of experiments must be conducted on fabrics in order to study the law of protection performance of different structural fabrics. They were thus subjected to comprehensive evaluation and theoretical analysis of cut resistance. The results demonstrate that the four structural fabrics exhibited resilience in abrasion tests, withstanding over 100,000 cycles without failure. A weighting algorithm was employed to determine the comprehensive cutting resistance of the S1, S2, S3, and S4 structural fabrics, resulting in values of 1939.9 gf, 2298.6 gf, 2577.1 gf, and 2822.2 gf, respectively. Therefore, S1 reached class A4, which is sufficient to address a medium cut hazard. Similarly, S2, S3, and S4 reached class A5, which is adequate to address a high cut hazard. The obtained fitting equation, with uniform yarn fineness T as the dependent variable, demonstrates that the cut resistance improved as the concave-convex density level increased.

Shared whole environmental etiology between Alzheimer's disease and age-related macular degeneration.

The comorbidity of Alzheimer's disease (AD) and age-related macular degeneration (AMD) has been established in clinical and genetic studies. There is growing interest in determining the shared environmental factors associated with both conditions. Recent advancements in record linkage techniques enable us to identify the contributing factors to AD and AMD from a wide range of variables. As such, we first constructed a knowledge graph based on the literature, which included all statistically significant risk factors for AD and AMD. An environment-wide association study (EWAS) was conducted to assess the contribution of various environmental factors to the comorbidity of AD and AMD based on the UK biobank. Based on the conditional Q-Q plots and Bayesian algorithm, several shared environmental factors were identified, which could be categorized into the domains of health condition, biological sample parameters, body index, and attendance availability. Finally, we generated a shared etiology landscape for AD and AMD by combining existing knowledge with our novel findings.