Exploring Cohesin-Related Multiomics Information in the Web Browser.

Cohesin is a protein complex that plays a key role in regulating chromosome structure and gene expression. While next-generation sequencing technologies have provided extensive information on various aspects of cohesin, integrating and exploring the vast datasets associated with cohesin are not straightforward. CohesinDB ( https://cohesindb.iqb.u-tokyo.ac.jp ) offers a web-based interface for browsing, searching, analyzing, visualizing, and downloading comprehensive multiomics cohesin information in human cells. In this protocol, we introduce how to utilize CohesinDB to facilitate research on transcriptional regulation and chromatin organization.

The Impact of Gender and Race on Outcomes for Hospitalized Hepatitis A Patients Stratified by Liver Disease Severity.

Background: The incidence of hepatitis A virus (HAV) infection is on the rise, with a minority of patients at risk for poor outcomes. This study investigates the prognostic impacts of race and gender on hospital outcomes among admitted HAV-infected patients. Methods: Using the National Inpatient Sample from 2012 to 2017, patients admitted with HAV were selected and stratified by gender (male and female) and race (White, Black, Hispanic, Asian-Pacific Islander, Other). Propensity score-matching and statistical analysis were implemented with comparison to the controls ("Female" and "White"). Primary endpoints included mortality, length of stay (LOS), and hospitalization costs, while secondary endpoints consisted of hepatic-related medical complications such as ascites, hepatic encephalopathy, varices, and acute liver failure. Results: Females with compensated cirrhosis had increased odds of mortality (aOR 2.59, 95% CI: 1.14-5.91, P = 0.02). Otherwise, no other differences in mortality were detected between genders and races. Females had a shorter hospital LOS (aOR 0.97, 95% CI: 0.96-0.98, P < 0.001), lower adjusted cost ($12,241 vs. $13,510, aOR 0.92, 95% CI: 0.92-0.92, P < 0.001), lower odds of esophageal varices (aOR 0.74, 95% CI: 0.57-0.97, P = 0.03) and hepatic encephalopathy (aOR 0.67, 95% CI: 0.53-0.84, P < 0.001) compared to males. Black patients exhibited higher LOS (aOR 1.06, 95% CI: 1.04-1.08, P < 0.001) and adjusted costs ($13,392 vs $12,592, aOR 1.02, 95% CI: 1.02-1.03, P < 0.001). Hispanic patients exhibited higher rates of esophageal varices (aOR 2.19, 95% CI: 1.28-3.76, P = 0.005) and adjusted costs ($14,202 vs. $12,381, aOR 1.07, 95% CI: 1.07-1.07, P < 0.001), and Asian patients experienced higher adjusted costs ($18,426 vs. $13,137, aOR 1.10, 95% CI: 1.10-1.10, P < 0.001) compared to White patients. Conclusion: Various nuanced impacts of gender and race on hospitalization outcomes in HAV infection were observed, with only one subgroup analysis demonstrating a higher rate of mortality. Further research is warranted to better understand these findings and their implications.

Enhancing dietary analysis: Using machine learning for food caloric and health risk assessment.

In the wake of growing concerns regarding diet-related health issues, this study investigates the application of machine learning methods to estimate the energy content and classify the health risks of foods based on the USDA National Nutrient Database. The caloric content of foods was estimated using the nutritional composition (i.e., carbohydrates, protein, total lipid, and total sugar content) and classified based on their weighted health risks, considering their carbohydrate, lipid, and glycemic index levels. The algorithms used for modeling include multiple linear regression (MLR), K-nearest neighbors, support vector machine, random forest regression (RFR), gradient-boosted regression, decision trees (DT), and deep neural networks. The MLR model demonstrated high accuracy on the training dataset (R2 = 0.99, mean absolute error [MAE] = 7.71 kcal, and root mean squared error [RMSE] = 17.89 kcal) and testing dataset (R2 = 0.99, MAE = 7.75 kcal, and RMSE = 18 kcal) in energy estimation, indicating its effectiveness in dietary assessment. The RFR and DT models were useful in categorizing foods into low-health-risk foods, but their performance was reduced in medium and high-health-risk groups. This research contributes to developing tools that could aid in personalized dietary planning and public health interventions to mitigate diet-related health risks. PRACTICAL APPLICATION: This study applies machine learning to estimate how many calories are in food and to understand the health risks different foods might have. By investigating the fats, cholesterol, and sugars in food items listed in a public database, we can better plan diets or develop apps that help people make healthier eating choices. This work aims to improve public access to nutritional information, supporting efforts to combat diet-related diseases through educational materials and applications that guide dietary choices in various settings.

New finding based on Comparative Toxicogenomics Database: Hepatic YY1 mediates drug-induced liver injury.

BACKGROUND: YY1 plays a crucial part in the onset and progression of numerous liver diseases, yet the significant contribution of YY1 to drug-induced liver injury (DILI) appears to have been underestimated by researchers. PURPOSE: To reveal the underlying role of YY1 in DILI. METHOD: The compounds that interact with YY1 were queried in the Comparative Toxicogenomics Database (CTD), with the majority found to be hepatotoxic, which includes certain widely used drugs. Molecular docking and SPR characterized the robust binding of hepatotoxic compounds to YY1. The duty of YY1 in DILI was investigated in Diosbulbin B (DIOB), a recently identified hepatotoxic compound that tightly associates with YY1, and further validated on ANIT, LCA, APAP, and CDDP. Transcriptomic analysis disclosed the underlying mechanisms involved in DIOB-induced liver injury. RT-qPCR, immunohistochemistry, immunofluorescence, western blotting, and cellular transfection techniques were employed to validate the specific mechanism. RESULTS: Among the 94 compounds affecting YY1 expression in the CTD, 59 compounds exhibited hepatotoxicity, showing close interactions with YY1 and almost consistent binding sites by molecular docking. The SPR validated the tough binding of several hepatotoxic compounds to YY1, including five FDA-approved hepatotoxic drugs. Mechanistically, the involvement of YY1 in DILI was uncovered through the cholestasis lens, mice hepatic YY1 was up-regulated by hepatotoxic DIOB and transcriptionally inhibited FXR and its downstream BSEP and MRP2 expression, initiating early in cholestatic liver injury and persisting to drive the progression of cholestasis. ANIT and LCA-induced model of cholestasis provided evidence for the hypothesis that YY1 frequently mediates drug induced cholestasis (DIC). APAP and CDDP indicated that YY1 may also be involved in hepatocellular and mixed type DILI. CONCLUSION: YY1 widely mediated the development of DIC and also might be engaged in other types of DILI. YY1 presented a common target for hepatotoxic medications and the targeting of liver YY1 for drug development may offer a novel approach for managing DILI.

Diabetic Charcot neuroarthropathy: A threat to both limb and life.

Diabetic Charcot neuroarthropathy (DCN), first described in 1936, occurs in less than 1% of diabetic patients, but in those diabetic subjects with distal symmetrical polyneuropathy, the overall incidence increases to 30% and the risk is even greater in those with type 1 diabetes. Factors that precipitate DCN are trauma, ischaemia due to arterio-venous shunting, increased osteoclastic activity and inflammation. DCN usually presents with a painless swollen foot and/or ankle which is 'hot to the touch'. These clinical findings are soon followed by characteristic magnetic resonance imaging (MRI) abnormalities and later X-ray changes. The joints that are most typically involved in chronological order are the tarsometatarsals followed by the naviculocuniform, sub-tarsal, talonavicular and metatarsal and tarsophalangeal. The cornerstone of therapy is prolonged (3-12 months) offloading with immobilization. Bisphosphonates may possibly accelerate recovery, whereas other unproven possible therapies include rhPTH, 1-34, calcitonin and methylprednisolone, which are not only ineffective but in some cases may also prolong the time to healing. Denosumab is potentially an efficacious, if unproven, therapy to accelerate healing. The risk of amputation is high and increases in the presence of a foot ulcer. DCN is associated with manifestations of autonomic neuropathy, including cardiac denervation, so that the risks of a cardiac event and heart failure are increased with DCN. Mortality is also increased with DCN, especially in the presence of a foot ulcer. To avoid the recurrence of DCN and especially to lower the risk of the recurrence of a foot ulcer recurrence reconstructive, surgery may be needed.

Efficacy and safety of a low-dose sulfamethoxazole/trimethoprim regimen in preventing pneumocystis pneumonia: A retrospective study using a large-scale electronic medical record database.

INTRODUCTION: Sulfamethoxazole/trimethoprim (ST) is a first-line drug for preventing pneumocystis pneumonia (PCP). Several small-scale studies have suggested the usefulness of the low-dose regimen of ST (200/40 mg/day) over the standard-dose one (400/80 mg/day). Thus, this study aimed to investigate the efficacy and safety of low-dose and standard-dose regimens of ST in preventing PCP in patients with non human immunodeficiency virus infection using a large-scale electronic medical record database. METHODS: This retrospective study included patients who received ST prophylaxis for PCP registered in the RWD database between June 2007 and February 2023. Patients received either standard-dose (400/80 mg/day) or low-dose (200/40 mg/day) regimen groups. The incidence of cases initiated PCP therapeutic dose (ci-PCPTD) (ST ≥3600/720 mg/day) and adverse events (AEs) was evaluated, and risk factors for ci-PCPTD were investigated. RESULTS: A total of 11,384 patients received the standard-dose, whereas 7,973 received the low-dose regimen groups. No significant difference in the cumulative incidence of ci-PCPTD was observed between the standard-dose (0.67%) and low-dose regimen group (0.47%). Lung disease was a significant risk factor for ci-PCPTD. The cumulative incidence of ci-PCPTD in patients with acute exacerbation of interstitial pneumonia was 1.3% in both groups, and no significant difference was observed between the two groups. The low-dose regimen group had a lower incidence of all AEs than the standard-dose regimen group. CONCLUSION: These results based on a large-scale electronic medical record database provide important evidence supporting the clinical significance of low-dose regimen of ST.

Survival Outcomes in US Medicare Patients with Non-Cystic Fibrosis Bronchiectasis by Rate of Baseline Exacerbations.

INTRODUCTION: There are limited real-world data on outcomes in patients with non-cystic fibrosis bronchiectasis (NCFBE). This study assessed clinical characteristics and survival in patients with NCFBE by baseline exacerbation rate. METHODS: Patients with bronchiectasis (≥ 1 inpatient or ≥ 2 outpatient claims with a bronchiectasis diagnosis code, or one outpatient claim with bronchiectasis code and a chest computed tomography scan) were from the 100% Medicare Fee-for-Service database (Jan 2014-Dec 2020). Patients had continuous enrollment ≥ 12 months pre-index (baseline) and post-index (follow-up), with index a random bronchiectasis claim preceded by ≥ 12 months bronchiectasis history. Patients with cystic fibrosis were excluded. Patients were stratified by exacerbations during baseline (0, 1, or ≥ 2). Follow-up exacerbation rate and all-cause mortality were assessed. Controls were identified using a multistep direct matching approach. Time to death from index was estimated by Kaplan-Meier analyses. RESULTS: Exacerbation analysis included 92,529 patients with NCFBE and 92,529 matched controls. Exacerbations were common (43% had ≥ 1 exacerbation), with patients with more baseline exacerbations more likely to have ≥ 2 exacerbations during follow-up (11.4%, 24.2%, and 46.8% of patients with 0, 1, and ≥ 2 baseline exacerbations, respectively). Survival analysis included 110,298 patients with NCFBE and 110,298 controls. Time to death was shorter in patients with more baseline exacerbations (P < 0.0001). Five-year survival was 55.3%, 62.6%, and 65.4% for patients with ≥ 2, 1, and 0 baseline exacerbations, respectively, compared with 64.1% for controls. CONCLUSIONS: In these patients with NCFBE, exacerbations were common. History of exacerbations was associated with future exacerbations and increased all-cause mortality.

Association of magnesium deficiency, tobacco smoke exposure and hypertension in children and adolescents: evidence from the NHANES 2007-2018.

BACKGROUND: Recent studies suggested that the combination of tobacco smoke exposure (TSE) and dietary nutrients intake may be related to a higher or lower risk of hypertension. However, the relationship between dietary magnesium (Mg) intake, TSE and the odds of hypertension remain unclear. This study aimed to evaluate the association of TSE, dietary Mg intake and the odds of hypertension among children and adolescents. METHOD: Data of this study were extracted from the National Health and Nutrition Examination Surveys (NHANES) 2007-2018. Dietary Mg intake was calculated as the average of two days of dietary and supplementations intake. Serum cotinine concertation ≥ 0.05 µg/L or at least one-person smoking in the household was considered as exposing to the tobacco smoke. The weighted univariate and multivariate logistic regression models were utilized to explore the associations of dietary Mg intake, TSE and the odds of hypertension among children and adolescents with the evaluation index of odds ratio (ORs) and 95% confidence intervals (CIs). Subgroup analyses based on different age, gender and overweight were further assessed these associations. RESULTS: A total of 7,122 children and adolescents aged 8-17 years old and with the blood pressure measurement were included. Of which, 948 (13.31%) had hypertension. After adjusting all covariates, we observed children and adolescents exposed to tobacco smoke was related to higher odds of hypertension (OR = 1.34, 95%CI: 1.01-1.78); children and adolescents not reached the dietary Mg references intakes was related to higher odds of hypertension (OR = 1.48, (95%CI: 1.11-1.97); compared to children and adolescents non-TSE and reached the DRIs of Mg, those not reached the DRIs of Mg and exposed to tobacco smoke have the highest odds of hypertension (OR = 1.94, 95%CI: 1.30-2.89, P for trend = 0.002). These associations of dietary Mg intake, TSE and hypertension remain robust after the stratified analysis based on age, gender and overweight was conducted. CONCLUSION: Our findings suggested there were a robust association between dietary Mg intake, TSE and hypertension in children and adolescents. Those children and adolescents with deficiency dietary Mg intake and exposed to tobacco smoke may have the high odds of hypertension. More restrictions on smoking as well as Mg supplementation in the prevention and treatment of hypertension among children and adolescents might be justified.

Current situation and trends of radiation therapy in Japan based on the National Database Open Data.

This study aimed to visualize the current situation and trends in radiation therapy in Japan using open data from the Japanese National Database of Health Insurance Claims and Specific Health Checkups (NDB). We downloaded the NDB open data from the website of Japan's Ministry of Health, Labor and Welfare and used Python libraries to analyze the receipt data related to radiation therapy from fiscal year 2014 to 2022. The number of radiation therapy plans peaked in 2019, temporarily declined and subsequently showed a gradual increase. Conversely, the total points associated with radiation therapy have consistently increased without any decline. The use of high-precision radiation therapies such as intensity-modulated radiation therapy (IMRT) has increased over time. Significant regional differences exist, with the Chubu and Kyushu regions showing higher total points and receipts per certified radiation oncologist. A correlation was observed between the number of IMRT plans per population and the number of certified radiation oncologists. Males exhibited a sharp peak in their early 70s, while females demonstrated a mild peak from their 40s to 80s. In recent years, the points for males in their early 70s have rapidly increased. We used the NDB open data to illustrate the current situation and trends in radiation therapy in Japan, highlighting reduced costs and workloads. This study underscored the regional differences in radiation therapy and emphasized the need to discuss strategies for meeting future demand.

Comprehensive maintenance dataset of building facilities for planned preventive and unplanned maintenance in North American universities.

Historical building maintenance data were collected from twelve universities in the United States (U.S.) and Canada, spanning from the year 2002 to 2021, with a particular focus on Planned Preventive Maintenance (PPM) and Unplanned Maintenance (UPM). The collected data underwent preprocessing and organization based on the Facility Management Unified Classification Code (FMUCO), Fig. 1 which was developed to classify heterogeneous building maintenance data. The resulting dataset comprises nine attribute groups (university, building, system, subsystem, component, work order, work order cost, work order labor, and weather) and their corresponding data attributes. The dataset aims to (1) provide insights into the current status of building management for campus-sized institutions and (2) facilitate data-driven analyses of facility management.

Post-marketing safety profile of solriamfetol: A real-world disproportionality analysis using FDA adverse event reporting system (FAERS) database.

Solriamfetol is a selective dopamine and noradrenalin reuptake inhibitor applied in adult patients with excessive daytime sleepiness (EDS) associated with narcolepsy or obstructive sleep apnea (OSA). However, the post-marketing safety profile of solriamfetol in large number of people was unrevealed. The purpose of our study is to unravel solriamfetol's adverse events (AEs) in real-world to refine medication safety using Food and Drug Administration Adverse Event Reporting System (FAERS) database. We derived the data associated with solriamfetol from FAERS between 2019 and 2023, and removed the duplicated entries. We evaluated the disproportionality of solriamfetol's AEs by reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN) and the multi-item gamma Poisson shrinker (MGPS). Among 8,846,085 AE reports, 1659 recorded solriamfetol as the 'primary suspected (PS)'. 74 significant disproportionality preferred terms (PTs) were retained across 27 organ systems. Moreover, 16 unexpected AEs not mentioned in the FDA label of solriamfetol were identified. Our findings provided the post-marketing safety profile of solriamfetol, highlighting potential solriamfetol's AEs. Further researches are significant to define the causality between solriamfetol and newly identified AEs.

The impact of statin use on short-term and long-term mortality in patients with heart failure.

Background: Heart failure (HF) is a complex disorder that has an association with increased morbidity and mortality rates globally. The association of statin use with mortality rate in individuals with HF remains unclear. Objectives: To examine the association of statin use with the short-term and long-term all-cause mortality rate in critically ill individuals with HF. Methods: We performed a retrospective cohort analysis based on the Medical Information Mart for Intensive Care (MIMIC)-IV database. The critically ill people with HF were assigned to a statin group and a non-statin group according to whether they had been treated with statin or not during hospitalization. The Kaplan-Meier (KM) method and Cox proportional hazard models were adopted to explore the link between statin administration and the 30-day, 90-day, as well as 1-year mortality rates. To ensure the robustness of the findings, a 1:1 nearest propensity-score matching (PSM) was also performed. Results: The current research included 11,381 patients for the final analysis, with 7,561 in the statin group and 3,820 in the non-statin group. After multiple confounders were adjusted, we found that the Cox regression models revealed great beneficial effects of statin therapy on the 30-day, 90-day, as well as 1-year mortality rates among critically ill individuals with HF in the fully adjusted model. PSM also achieved consistent results. After PSM, the risk of mortality reduced by 23% for the 30-day mortality (HR = 0.77, 95%CI: 0.68-0.88, p < 0.001), 16% for the 90-day mortality rate (HR = 0.84, 95%CI: 0.75-0.93, p < 0.001), and 12% for the 1-year mortality rate (HR = 0.88, 95%CI: 0.81-0.97, p = 0.007). Patients treated with rosuvastatin had the greatest reduction in mortality rate. The 30-day, 90-day, and 1-year all-cause mortality rates were remarkably lower in patients who were treated with low-dose statins. Conclusion: Our study unveiled that statin use was related to decreased short-term and long-term all-cause mortality rates in critically ill individuals with HF. Rosuvastatin was associated with the greatest reduction of all-cause mortality rates. Low-dose statins can significantly reduce short-term and long-term mortality, while high-dose statins are not significantly correlated with mortality. However, the results are not conclusive and should be interpreted with caution.

Evaluation of Antipsychotic-Induced Neuroleptic Malignant Syndrome Using a Self-Organizing Map.

Introduction In neuropsychiatric pharmacotherapy, neuroleptic malignant syndrome (NMS) is a potentially serious side effect of antipsychotics characterized primarily by fever, disorientation, extrapyramidal disorders, and autonomic nervous system imbalance, which can lead to death if left untreated. We visualized the NMS profile of antipsychotics using a self-organizing map (SOM). We combined it with decision tree analysis to discriminate between 31 antipsychotics in more detail than typical antipsychotic (TAP) and atypical antipsychotic (AAP) classifications. Method A total of 20 TAPs and 11 AAPs were analyzed. We analyzed NMS reports extracted from the Japanese Adverse Drug Event Report (JADER) database based on standardized Medical Dictionary for Regulatory Activities (MedDRA) queries (Standardized MedDRA Queries (SMQ) code: 20000044, including 68 preferred terms). The SOM was applied using the SOM package in R version 4.1.2 (R Foundation for Statistical Computing, Vienna, Austria). Results The Japanese Adverse Drug Event Report (JADER) database contained 887,704 reports published between April 2004 and March 2024. The numbers of cases of NMS (SMQ code: 20000044) reported for risperidone, aripiprazole, haloperidol, olanzapine, and quetiapine were 1691, 1294, 1132, 1056, and 986, respectively. After the antipsychotics were classified into six units using SOM, they were adapted for decision tree analysis. First, 31 antipsychotics branched off into groups with loss of consciousness, with one group (10 TAPs) consisting entirely of TAPs, and the other consisting of antipsychotics that were further separated into two groups with coma induced by TAPs and AAPs. Conclusion The results of this study provide a reference for healthcare providers when predicting the NMS characteristics induced by each drug in patients, thereby facilitating the effective treatment of schizophrenia.

EpiCandIn: An open online resource for epidemiology of Candida infections in India.

Background & objectives Candida spp. cause candidiasis in humans under conditions disrupting the host defence. While Candida albicans is the most reported cause of candidiasis, there is a surge in the incidence of infections by non-albicans Candida species (NACs), such as C. tropicalis, C. glabrata and C. auris. These species can infect all organs of the human body. To effectively manage these outbreaks, it is important to track the epidemiology of candidiasis. A consolidated resource describing the landscape of candidiasis in India is absent. Methods To address this gap, we have developed an online resource named Epidemiology of Candida Infections in India (EpiCandIn) by manually curating published literature on Candida infections in the Indian population obtained from PubMed and ScienceDirect databases. Results EpiCandIn contains data available since 1972 from 51 sites across 16 States and four Union Territories of India. It provides information on geographical location, Candida species, niche affected, disease characteristics and drug therapy details extracted from the publications. This resource is integrated with visualization tools. Interpretation & conclusions EpiCandIn will be useful for public health researchers and policymakers as it will help them gain insights into the emerging trends and management of Candida infections in India. It can be accessed at epicandin.bicnirrh.res.in.

Global research and current trends on nanotherapy in lung cancer research: a bibliometric analysis of 20 years.

BACKGROUND: Lung cancer ranks as one of the most rapidly growing malignancies. Which is characterized by its poor prognosis and a low survival rate due to late diagnosis and limited efficacy of conventional treatments. In recent years nanotechnology has emerged as a promising frontier in the management of lung cancer, presenting novel strategies to enhance drug administration, improve therapeutic efficiency, and mitigate side effects. This research comprehensively evaluates the current state and research trends concerning the application of nanomaterials in lung cancer through bibliometric analysis. MATERIALS AND METHODS: We employed a systematic approach by retrieving studies from the Scopus database that focused on nanomaterials and lung cancer between 2003 and 2023. Subsequently, we carefully selected relevant articles based on predetermined inclusion criteria. The selected publications were then subjected to bibliometric and visual analysis using softwares such as VOSviewer and Biblioshiny. RESULTS: A total of 3523 studies that meet inclusion criteria were selected for bibliometric analysis. We observed a progressive increase in the number of annual publications from 2003 to 2023, indicating the growing interest in this field. According to our analysis, China is the primary contributor to publication output among the countries. The "Ministry of Education of the People's Republic of China" was the most influential institution. Among the authors, "Dr. Jack A. Roth" and "Dr. Huang Leaf" had the highest number of publications and cited publications, respectively. The "International Journal of Nanomedicine" was found to be the most prolific journal in this field. Additionally, "Biomaterials" emerged as the most cited journal. Through keyword analysis, we identified five main research themes and future research directions; nono-immunotherapy and green synthesis are the hot topics in this research field. CONCLUSION: Our study summarized the key characteristics of publications in this field and identified the most influential countries, institutions, authors, journals, hot topics, and trends related to the application of nanomaterials in lung cancer. These findings contribute to the existing body of knowledge and serve as a foundation for future research endeavors in this area. More effective efforts are needed in this field to reduce the burden of lung cancer and help achieve the United Nation's Sustainable Development Goals.

An open-access database of video stimuli for action observation research in neuroimaging settings: psychometric evaluation and motion characterization.

Video presentation has become ubiquitous in paradigms investigating the neural and behavioral responses to observed actions. In spite of the great interest in uncovering the processing of observed bodily movements and actions in neuroscience and cognitive science, at present, no standardized set of video stimuli for action observation research in neuroimaging settings exists. To facilitate future action observation research, we developed an open-access database of 135 high-definition videos of a male actor performing object-oriented actions. Actions from 3 categories: kinematically natural and goal-intact (Normal), kinematically unnatural and goal-intact (How), or kinematically natural and goal-violating (What), directed toward 15 different objects were filmed from 3 angles. Psychometric evaluation of the database revealed high video recognition accuracy (Mean accuracy = 88.61 %) and substantial inter-rater agreement (Fleiss' Kappa = 0.702), establishing excellent validity and reliability. Videos' exact timing of motion onset was identified using a custom motion detection frame-differencing procedure. Based on its outcome, the videos were edited to assure that motion begins at the second frame of each video. The videos' timing of category recognition was also identified using a novel behavioral up-down staircase procedure. The identified timings can be incorporated in future experimental designs to counteract jittered stimulus onsets, thus vastly improving the sensitivity of neuroimaging experiments. All videos, their psychometric evaluations, and the timing of their frame of category recognition, as well as our custom programs for performing these evaluations on our, or on other similar video databases, are available at the Open Science Framework (https://osf.io/zexc4/).

Early prediction of grape disease attack using a hybrid classifier in association with IoT sensors.

Machine learning with IoT practices in the agriculture sector has the potential to address numerous challenges encountered by farmers, including disease prediction and estimation of soil profile. This paper extensively explores the classification of diseases in grape plants and provides detailed information about the conducted experiments. It is important to keep track of each crop's current environmental conditions because different environmental conditions, such as humidity, temperature, moisture, leaf wetness, light intensity, wind speed, and wind direction, can affect or sustain the quality of a crop. IoT will increasingly be used in precision agriculture and smart environments to detect, gather, and share data about environmental occurrences. The environmental factor that is active at all times and has an effect on a crop from its cultivation to harvest. With the aid of an IoT, we will monitor the following factors: temperature, humidity, and leaf wetness, all of which have an impact on the overall quality and lifespan of grapes. A Self-created database of weather parameter using sensors is introduced in this article. It consists of 5 categories with a total of 10,000 records. Here, experiment has been carried out using our dataset to predict grape diseases on various machines learning algorithm. The system receives overall accuracy of 98.25 % for Powdery Mildew, 98.85 % for Downy Mildew and 93.95 % for Bacterial Leaf Spot.

Towards dynamically configured databases for CIFs: the new modulated structures open database at the Bilbao Crystallographic Server.

This article presents a web-based framework to build a database without in-depth programming knowledge given a set of CIF dictionaries and a collection of CIFs. The framework consists of two main elements: the public site that displays the information contained in the CIFs in an ordered manner, and the restricted administrative site which defines how that information is stored, processed and, eventually, displayed. Thus, the web application allows users to easily explore, filter and access the data, download the original CIFs, and visualize the structures via JSmol. The modulated structures open database B-IncStrDB, the official International Union of Crystallography repository for this type of material and available through the Bilbao Crystallographic Server, has been re-implemented following the proposed framework.

Free tools for crystallographic symmetry handling and visualization.

Online courses and innovative teaching methods have triggered a trend in education, where the integration of multimedia, online resources and interactive tools is reshaping the view of both virtual and traditional classrooms. The use of interactive tools extends beyond the boundaries of the physical classroom, offering students the flexibility to access materials at their own speed and convenience and enhancing their learning experience. In the field of crystallography, there are a wide variety of free online resources such as web pages, interactive applets, databases and programs that can be implemented in fundamental crystallography courses for different academic levels and curricula. This paper discusses a variety of resources that can be helpful for crystallographic symmetry handling and visualization, discussing four specific resources in detail: the Bilbao Crystallographic Server, the Cambridge Structural Database, VESTA and Jmol. The utility of these resources is explained and shown by several illustrative examples.

A mass spectrometry database for the identification of marine animal saponin-related metabolites.

Saponins encompass a diverse group of naturally occurring glycoside molecules exhibiting amphiphilic properties and a broad range of biological activities. There is a resurgence of interest in those saponins produced by marine organisms based on their potential therapeutic benefits, application in food products and most recently their potential involvement in intra- and inter-species chemical communication. The continual advancements in liquid chromatography techniques and mass spectrometry technologies have allowed for greater detection rates, as well as improved isolation and elucidation of saponins. These factors have significantly contributed to the expansion in the catalogue of known saponin structures isolated from marine invertebrates; however, there currently exists no specific chemical library resource to accelerate the discovery process. In this study, a Marine Animal Saponin Database (MASD v1.0) has been developed to serve as a valuable chemical repository for known marine saponin-related data, including chemical formula, molecular mass and biological origin of nearly 1000 secondary metabolites associated with saponins produced by marine invertebrates. We demonstrate its application with an exemplar asteroid extract (Acanthaster cf. solaris, also known as crown-of-thorns starfish; COTS), identifying saponins from the MASD v1.0 that have been previously reported from COTS, as well as 21 saponins isolated from multiple other related asteroid species. This database will help facilitate future research endeavours, aiding researchers in exploring the vast chemical diversity of saponins produced by marine organisms and providing ecological insights, and the realisation of their potential for various applications, including as pharmaceuticals.