bluuebunny/crossref_metadata_2025 huggingface dataset:
scButterfly: a versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
Authors: Cao Yichuan , Zhao Xiamiao , Tang Songming , Jiang Qun , Li Sijie , Li Siyu , Chen Shengquan
Published: April 2024

Recent advancements for simultaneously profiling multi-omics modalities within individual cells have enabled the interrogation of cellular heterogeneity and molecular hierarchy. However, technical limitations lead to highly noisy multi-modal data and substantial costs. Although computational methods have been proposed to translate single-cell data across modalities, broad applications of the methods still remain impeded by formidable challenges. Here, we propose scButterfly, a versatile single-cell cross-modality translation method based on dual-aligned variational autoencoders and data augmentation schemes. With comprehensive experiments on multiple datasets, we provide compelling evidence of scButterfly’s superiority over baseline methods in preserving cellular heterogeneity while translating datasets of various contexts and in revealing cell type-specific biological insights. Besides, we demonstrate the extensive applications of scButterfly for integrative multi-omics analysis of single-modality data, data enhancement of poor-quality single-cell multi-omics, and automatic cell type annotation of scATAC-seq data. Moreover, scButterfly can be generalized to unpaired data training, perturbation-response analysis, and consecutive translation.
Consensus reporting guidelines to address gaps in descriptions of ultra-rare genetic conditions
Authors: AlMail Ali , Jamjoom Ahmed , Pan Amy , Feng Min Yi , Chau Vann , D’Gama Alissa M. , Howell Katherine , Liang Nicole S. Y. , McTague Amy , Poduri Annapurna , Wiltrout Kimberly ,   IPCHiP Executive Committee, Bassett Anne S. , Christodoulou John , Dupuis Lucie , Gill Peter , Levy Tess , Siper Paige , Stark Zornitza , Vorstman Jacob A. S. , Diskin Catherine , Jewitt Natalie , Baribeau Danielle , Costain Gregory
Published: April 2024

Genome-wide sequencing and genetic matchmaker services are propelling a new era of genotype-driven ascertainment of novel genetic conditions. The degree to which reported phenotype data in discovery-focused studies address informational priorities for clinicians and families is unclear. We identified reports published from 2017 to 2021 in 10 genetics journals of novel Mendelian disorders. We adjudicated the quality and detail of the phenotype data via 46 questions pertaining to six priority domains: (I) Development, cognition, and mental health; (II) Feeding and growth; (III) Medication use and treatment history; (IV) Pain, sleep, and quality of life; (V) Adulthood; and (VI) Epilepsy. For a subset of articles, all subsequent published follow-up case descriptions were identified and assessed in a similar manner. A modified Delphi approach was used to develop consensus reporting guidelines, with input from content experts across four countries. In total, 200 of 3243 screened publications met inclusion criteria. Relevant phenotypic details across each of the 6 domains were rated superficial or deficient in >87% of papers. For example, less than 10% of publications provided details regarding neuropsychiatric diagnoses and “behavioural issues”, or about the type/nature of feeding problems. Follow-up reports (n = 95) rarely contributed this additional phenotype data. In summary, phenotype information relevant to clinical management, genetic counselling, and the stated priorities of patients and families is lacking for many newly described genetic diseases. The PHELIX (PHEnotype LIsting fiX) reporting guideline checklists were developed to improve phenotype reporting in the genomic era.
Triple tandem trimer immunogens for HIV-1 and influenza nucleic acid-based vaccines
Authors: del Moral-Sánchez Iván , Wee Edmund G. , Xian Yuejiao , Lee Wen-Hsin , Allen Joel D. , Torrents de la Peña Alba , Fróes Rocha Rebeca , Ferguson James , León André N. , Koekkoek Sylvie , Schermer Edith E. , Burger Judith A. , Kumar Sanjeev , Zwolsman Robby , Brinkkemper Mitch , Aartse Aafke , Eggink Dirk , Han Julianna , Yuan Meng , Crispin Max , Ozorowski Gabriel , Ward Andrew B. , Wilson Ian A. , Hanke Tomáš , Sliepen Kwinten , Sanders Rogier W.
Published: April 2024

Recombinant native-like HIV-1 envelope glycoprotein (Env) trimers are used in candidate vaccines aimed at inducing broadly neutralizing antibodies. While state-of-the-art SOSIP or single-chain Env designs can be expressed as native-like trimers, undesired monomers, dimers and malformed trimers that elicit non-neutralizing antibodies are also formed, implying that these designs could benefit from further modifications for gene-based vaccination approaches. Here, we describe the triple tandem trimer (TTT) design, in which three Env protomers are genetically linked in a single open reading frame and express as native-like trimers. Viral vectored Env TTT induced similar neutralization titers but with a higher proportion of trimer-specific responses. The TTT design was also applied to generate influenza hemagglutinin (HA) trimers without the need for trimerization domains. Additionally, we used TTT to generate well-folded chimeric Env and HA trimers that harbor protomers from three different strains. In summary, the TTT design is a useful platform for the design of HIV-1 Env and influenza HA immunogens for a multitude of vaccination strategies.
Large language model enhanced corpus of CO2 reduction electrocatalysts and synthesis procedures
Authors: Chen Xueqing , Gao Yang , Wang Ludi , Cui Wenjuan , Huang Jiamin , Du Yi , Wang Bin
Published: April 2024

CO2 electroreduction has garnered significant attention from both the academic and industrial communities. Extracting crucial information related to catalysts from domain literature can help scientists find new and effective electrocatalysts. Herein, we used various advanced machine learning, natural language processing techniques and large language models (LLMs) approaches to extract relevant information about the CO2 electrocatalytic reduction process from scientific literature. By applying the extraction pipeline, we present an open-source corpus for electrocatalytic CO2 reduction. The database contains two types of corpus: (1) the benchmark corpus, which is a collection of 6,985 records extracted from 1,081 publications by catalysis postgraduates; and (2) the extended corpus, which consists of content extracted from 5,941 documents using traditional NLP techniques and LLMs techniques. The Extended Corpus I and II contain 77,016 and 30,283 records, respectively. Furthermore, several domain literature fine-tuned LLMs were developed. Overall, this work will contribute to the exploration of new and effective electrocatalysts by leveraging information from domain literature using cutting-edge computer techniques.
Vectorized dataset of silted land formed by check dams on the Chinese Loess Plateau
Authors: Zeng Yi , Jing Tongge , Xu Baodong , Yang Xiankun , Jian Jinshi , Zong Renjie , Wang Bing , Dai Wei , Deng Lei , Fang Nufang , Shi Zhihua
Published: April 2024

Check dams on the Chinese Loess Plateau (CLP) have captured billions of tons of eroded sediment, substantially reducing sediment load in the Yellow River. However, uncertainties persist regarding the precise sediment capture and the role of these dams in Yellow River flow and sediment dynamics due to the lack of available spatial distribution datasets. We produced the first vectorized dataset of silted land formed by check dams on the CLP, combining high-resolution and easily accessible Google Earth images with object-based classification methods. The accuracy of the dataset was verified by 1947 collected test samples, and the producer’s accuracy and user’s accuracy of the dam lands were 88.9% and 99.5%, respectively. Our dataset not only provides fundamental information for accurately assessing the ecosystem service functions of check dams, but also helps to interpret current changes in sediment delivery of the Yellow River and plan future soil and water conservation projects.
A novel approach towards web browser using the concept of a complex spherical fuzzy soft information
Authors: Shao Wenkai , Hussain Shoukat , Khan Sami Ullah , Awwad Fuad A. , Ismail Emad A. A.
Published: April 2024

The modern technology is the practical application of scientific knowledge, whether in industry or daily life, for goals or purposes. More quickly than any other technological advancement in human history, digital technologies have advanced. The technology sector is expanding and provides both new educational opportunities and innovative, exciting products. Right now, one of the most widely used and fascinating technologies is the web browser. This article introduced the novel concepts of complex spherical fuzzy soft relations (CSFSRs) by using the Cartesian Product (CP) of two complex spherical fuzzy soft sets (CSFSSs). Additionally, examples are used to clarify various types of relations. Because it discusses all levels of membership, abstinence, and non-membership with multidimensional variables, the CSFSRs have a detailed structure. The CSFSR-based modelling tools developed in this research, which primarily rely on the score function, can be used to choose the best Web browser. The transaction could be as easy as users sharing records via a functional web browser. Finally, the advantages of this suggested structure are illustrated by contrasting it with alternative structures.
Biochar aided priming of carbon and nutrient availability in three soil orders of India
Authors: Purakayastha T. J. , Bera Tanumoy , Dey Saptaparnee , Pande Pooja , Kumari Savita , Bhowmik Arpan
Published: April 2024

In recent years biochar (BC) has gained importance for its huge carbon (C) sequestration potential and positive effects on various soil functions. However, there is a paucity of information on the long-term impact of BC on the priming effect and nutrient availability in soil with different properties. This study investigates the effects of BC prepared from rice husk (RBC4, RBC6), sugarcane bagasse (SBC4, SBC6) and mustard stalk (MBC4, MBC6) at 400 and 600 °C on soil C priming and nitrogen (N), phosphorus (P), and potassium (K) availability in an Alfisol, Inceptisol, and Mollisol. BC properties were analyzed, and its decomposition in three soil orders was studied for 290 days in an incubation experiment. Post-incubation, available N, P, and K in soil were estimated. CO2 evolution from BC and soil alone was also studied to determine the direction of priming effect on native soil C. Increasing pyrolysis temperature enhanced pH and EC of most of the BC. The pyrolysis temperature did not show clear trend with respect to priming effect and nutrient availability across feedstock and soil type. MBC6 increased C mineralization in all the soil orders while RBC6 in Alfisol and SBC6 in both Inceptisol and Mollisol demonstrated high negative priming, making them potential amendments for preserving native soil C. Most of the BC showed negative priming of native SOC in long run (290 days) but all these BC enhanced the available N, P, and K in soil. SBC4 enhanced N availability in Alfisol and Inceptisol, RBC4 improved N and P availability in Mollisol and P in Alfisol and MBC6 increased K availability in all the soils. Thus, based on management goals, tailored BC or blending different BC can efficiently improve C sequestration and boost soil fertility.
Plackett–Burman screening of physico-chemical variables affecting Citrus peel-mediated synthesis of silver nanoparticles and their antimicrobial activity
Authors: Mickky Bardees , Elsaka Heba , Abbas Muhammad , Gebreil Ahmed , Eldeen Reham Shams
Published: April 2024

With the growing resistance of pathogenic microbes to traditional drugs, biogenic silver nanoparticles (SNPs) have recently drawn attention as potent antimicrobial agents. In the present study, SNPs synthesized with the aid of orange (Citrus sinensis) peel were engineered by screening variables affecting their properties via Plackett–Burman design. Among the variables screened (temperature, pH, shaking speed, incubation time, peel extract concentration, AgNO3 concentration and extract/AgNO3 volume ratio), pH was the only variable with significant effect on SNPs synthesis. Therefore, SNPs properties could be enhanced to possess highly regular shape with zeta size of 11.44 nm and zeta potential of − 23.7 mV. SNPs purified, capped and stabilized by cloud point extraction technique were then checked for their antimicrobial activity against Bacillus cereus, Listeria innocua, Listeria monocytogenes, Staphylococcus aureus, Enterobacter cloacae, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Salmonella typhimurium and Candida albicans. The maximum antimicrobial activity of SNPs was recorded against E. coli, L. monocytogenes and C. albicans with clear zone diameter of 33.2, 31.8 and 31.7 mm, respectively. Based on minimum inhibition concentration and minimum bactericidal concentration of SNPs (300 mg/l) as well as their effect on respiratory chain dehydrogenases, cellular sugar leakage, protein leakage and lipid peroxidation of microbial cells, E. coli was the most affected. Scanning electron microscopy, protein banding and DNA fragmentation proved obvious ultrastructural and molecular alterations of E. coli treated with SNPs. Thus, biogenic SNPs with enhanced properties can be synthesized with the aid of Citrus peel; and such engineered nanoparticles can be used as potent antimicrobial drug against E. coli.
A new type of C+⋯Hδ−(C=) bond in adducts of vinyl carbocations with alkenes
Authors: Stoyanov Evgenii S. , Bagryanskaya Irina Yu. , Stoyanova Irina V.
Published: April 2024

By X-ray diffraction analysis and IR spectroscopy, it was established here that vinyl carbocations C3H5+/C4H7+ with carborane counterion CHB11Cl11− form stable monosolvates C3H5+⋅C3H6/C4H7+⋅C4H8 with molecules of alkenes C3H6/C4H8. They contain molecular group =C+⋯Hδ−–Cδ+= with a new type of bond formed by the H atom of the H–C= group of the alkene with the C atom of the C+=C group of the carbocation. The short C+----Cδ+ distance, equal to 2.44 Å, is typical of that of X----X in proton disolvates (L2H+) with an quasi-symmetrical X–H+⋯X moiety (where X = O or N) of basic molecule L. The nature of the discovered bond differs from that of the classic H–bond by an distribution of electron density: the electron–excessive Hδ− atom from the (=)C–H group of the alkene is attached to the C+ atom of the carbocation, on which the positive charge is predominantly concentrated. Therefore, it can be called an inverse hydrogen bond.
Hibiscus manihot L. flower extract induces anticancer activity through modulation of apoptosis and autophagy in A549 cells
Authors: Xu Minglu , Zhao Mengxia , Zhu Miaomiao , Yuan Hongmei , Li Zhongzheng , Yan Peishuo , Ma Chi , Zhao Huabin , Wang Shenghui , Wan Ruyan , Wang Lan , Yu Guoying
Published: April 2024

Lung cancer is a major public health issue and heavy burden in China and worldwide due to its high incidence and mortality without effective treatment. It’s imperative to develop new treatments to overcome drug resistance. Natural products from food source, given their wide-ranging and long-term benefits, have been increasingly used in tumor prevention and treatment. This study revealed that Hibiscus manihot L. flower extract (HML) suppressed the proliferation and migration of A549 cells in a dose and time dependent manner and disrupting cell cycle progression. HML markedly enhanced the accumulation of ROS, stimulated the dissipation of mitochondrial membrane potential (MMP) and that facilitated mitophagy through the loss of mitochondrial function. In addition, HML induced apoptosis by activation of the PTEN-P53 pathway and inhibition of ATG5/7-dependent autophagy induced by PINK1-mediated mitophagy in A549 cells. Moreover, HML exert anticancer effects together with 5-FU through synergistic effect. Taken together, HML may serve as a potential tumor prevention and adjuvant treatment for its functional attributes.
Distress and neuroticism as mediators of the effect of childhood and adulthood adversity on cognitive performance in the UK Biobank study
Authors: Pflanz Chris Patrick , Künzi Morgane , Gallacher John , Bauermeister Sarah
Published: April 2024

Childhood adversity and adulthood adversity affect cognition later in life. However, the mechanism through which adversity exerts these effects on cognition remains under-researched. We aimed to investigate if the effect of adversity on cognition was mediated by distress or neuroticism. The UK Biobank is a large, population-based, cohort study designed to investigate risk factors of cognitive health. Here, data were analysed using a cross-sectional design. Structural equation models were fitted to the data with childhood adversity or adulthood adversity as independent variables, distress and neuroticism as mediators and executive function and processing speed as latent dependent variables that were derived from the cognitive scores in the UK Biobank. Complete data were available for 64,051 participants in the childhood adversity model and 63,360 participants in the adulthood adversity model. Childhood adversity did not show a direct effect on processing speed. The effect of childhood adversity on executive function was partially mediated by distress and neuroticism. The effects of adulthood adversity on executive function and processing speed were both partially mediated by distress and neuroticism. In conclusion, distress and neuroticism mediated the deleterious effect of childhood and adulthood adversity on cognition and may provide a mechanism underlying the deleterious consequences of adversity.
Trend and projection of non-communicable diseases risk factors in Iran from 2001 to 2030
Authors: Farzadfar Farshad , Yousefi Moein , Jafari-Khounigh Ali , Khorrami Zahra , Haghdoost AliAkbar , Shadmani Fatemeh Khosravi
Published: April 2024

This study aims to investigate the trends and project the major risk factors of Non-communicable Diseases (NCDs) in Iran. We obtained the trend of prevalence of main risk factors related to NCDs in 30 to 70-year-old-individuals. The data were extracted from WHO STEP wise approach to NCDs risk factor surveillance (STEPS) survey. Also,the previous studies conducted at national and subnational levels from 2001 to 2016 were employed. The prevalence of risk factors was projected by 2030 using Bayesian Model Averaging (BMA) and Spatio-temporal model stratified by sex and province. The percent change for the age-standardized prevalence of smoking in men between 2001 and 2016 was calculated to be − 27.0. Also, the corresponding values for the risk factors of diabetes, hypertension, obesity and overweight, physical inactivity (PI), and mean of salt intake were − 26.1, 29.0, 70.0, 96.8, 116.6, and 7.5, respectively. It is predicted that smoking and these risk factors will undergo a change to show values of − 1.26, 38.7, 43.7, 2.36, and 15.3 by 2030, respectively. The corresponding values in women for the time interval of 2001–2016 were − 27.3, 26.3, 82.8, 1.88, 75.2, and 4.2, respectively. Plus, projections indicate that the 2030 variation values are expected to be − 25.0, 16.7, 37.5, 28.7, 26.7, and 10.9 respectively. This study showed that the prevalence of four risk factors of PI, overweight and obesity, hypertension, and diabetes is increasing in Iran. Therefor, it is necessary to carry out effective interventions to adopt a healthy lifestyle and reduce the risk factors.
Physical and structural characterization of bis-acryl composite resin
Authors: Rodríguez-Guardado Wendy E. , Rivera-Muñoz Eric M. , Serrano-Bello Janeth , Alvarez-Perez Marco A. , Domínguez-Pérez Rubén A. , Salmerón-Valdés Elias Nahum , Vázquez Vázquez Febe C. , Chanes-Cuevas Osmar A. , Millán-Malo Beatriz , Peza-Ledesma Carmen L. , Correa-Prado Rodrigo
Published: April 2024

During the preparation of fixed prosthesis (including individual bridges and crowns) it is important to select the materials that have the best features and properties to predict a successful clinical treatment. The objective of this study was to determine if the chemical and structural characteristics could cause to increase the fracture resistance, we used four bis-acryl resins Luxatemp, Protemp, Structur and Telio. Three-points bending by Flexural test were performed in ten bars and they were carried out to compare with Anova test. In addition, the bis-acryl resins were analyzed by scanning electron microscopy, to analyze microstructure and morphology and the molecular structure were performed by Infrared Spectroscopy through Attenuated Total Reflectance. A higher flexural strength was found in Luxatemp and Structur with, no significant differences between this study groups. Regarding Protemp and Telio, these study groups showed a lower flexural strength when were compared with Luxatemp and Structur. These results corroborate SEM and ATR analysis because Luxatemp sample showed a regular size particle on the surface and chemically presents a long cross-linkage polymer chain. The presence of CO3, SiO2 and N–H groups as a fillers particle interacting with OH groups cause a higher flexural strength compared with another groups.
Utilizing direct and indirect information to improve the COVID-19 vaccination booster scheduling
Authors: Dery Yotam , Yechezkel Matan , Ben-Gal Irad , Yamin Dan
Published: April 2024

Current global COVID-19 booster scheduling strategies mainly focus on vaccinating high-risk populations at predetermined intervals. However, these strategies overlook key data: the direct insights into individual immunity levels from active serological testing and the indirect information available either through sample-based sero-surveillance, or vital demographic, location, and epidemiological factors. Our research, employing an age-, risk-, and region-structured mathematical model of disease transmission—based on COVID-19 incidence and vaccination data from Israel between 15 May 2020 and 25 October 2021—reveals that a more comprehensive strategy integrating these elements can significantly reduce COVID-19 hospitalizations without increasing existing booster coverage. Notably, the effective use of indirect information alone can considerably decrease COVID-19 cases and hospitalizations, without the need for additional vaccine doses. This approach may also be applicable in optimizing vaccination strategies for other infectious diseases, including influenza.
Automatic identification of incidents involving potential serious injuries and fatalities (PSIF)
Authors: Parikh Pulkit , Penfield Julia , Juaire Marc
Published: April 2024

Safety incidents have always been a crucial risk in work spaces, especially industrial sites. In the last few decades, significant efforts have been dedicated to incident control measures to reduce the rate of safety incidents. Despite all these efforts, the rate of decline in serious injuries and fatalities (SIFs) has been considerably lower than the rate of decline for non-critical incidents. This observation has led to a change of risk reduction paradigm for safety incidents. Under the new paradigm, more focus has been allocated to reducing the rate of critical/SIF incidents, as opposed to reducing the count of all incidents. One of the challenges in reducing the number of SIF incidents is the proper identification of the risk prior to materialization. One of the reasons for risk identification being a challenge is that companies usually only focus on incidents where SIF did occur reactively, and incidents that did not cause SIF but had the potential to do so go unnoticed. Identifying these potentially significant incidents, referred to as potential serious injuries and fatalities (PSIF), would enable companies to work on identifying critical risk and taking steps to prevent them preemptively. However, flagging PSIF incidents requires all incident reports to be analyzed individually by experts and hence significant investment, which is often not affordable, especially for small and medium sized companies. This study is aimed at addressing this problem through machine learning powered automation. We propose a novel approach based on binary classification for the identification of such incidents involving PSIF (potential serious injuries and fatalities). This is the first work towards automatic risk identification from incident reports. Our approach combines a pre-trained transformer model with XGBoost. We utilize advanced natural language processing techniques to encode an incident record comprising heterogeneous fields into a vector representation fed to XGBoost for classification. Moreover, given the scarcity of manually labeled incident records available for training, we leverage weak labeling to augment the label coverage of the training data. We utilize the F2 metric for hyperparameter tuning using Tree-structured Parzen Estimator to prioritize the detection of PSIF records over the avoidance of non-PSIF records being mis-classified as PSIF. The proposed methods outperform several baselines from other studies on a significantly large test dataset.
Performance optimization of interleaved boost converter with ANN supported adaptable stepped-scaled P&O based MPPT for solar powered applications
Authors: Krishnaram K. , Padmanabhan T. Suresh , Alsaif Faisal , Senthilkumar S.
Published: April 2024

Solar energy is the most promising among many renewable energy sources to meet the increasing demand. Photovoltaic (PV) based power generating solutions are expected to gain popularity as a power source for different applications, including independent and grid connected loads, due to their cleanliness, high performance, and high dependability. The efficacy of photovoltaic systems is impacted by several elements, including geographical location, positioning, shadowing effects, and local climate conditions. In order to fulfil the demands of loads, an interleaved boost converter is utilized, which has a reduced number of filters with less stress on the devices. Solar powered systems employ several maximum power point tracking (MPPT) methodologies. However, when there is partial shading, many power peaks arise, which complicates the identification of the overall peak. Although MPPT approaches are designed to measure and maintain the global maximum power point (GMPP), there are still significant oscillations observed around the GMPP with subpar settling time, tracking efficiency, and conversion efficiency. In this work, novel hybrid MPPT technique called artificial neural network supported adaptable stepped-scaled perturb and observe (ANN-ASSPO) method and water cycle optimization based perturb and observe (WCO-PO) have been proposed. Artificial neural network (ANN) has been used to determine the best scaling factor in ANN-ASSPO MPPT. Performance is enhanced in ANN-ASSPO MPPT by using the optimum scaling factor, particularly in situations when the irradiance is rapidly changing/partial shading conditions. Similarly, in WCO-PO MPPT water cycle optimization is used to determine the peak power when the PV panel is subjected to partial shading conditions. The performances of proposed hybrid MPPT ANN-ASSPO and WCO-PO techniques have been compared in terms of power generated, output voltage, average settling time and conversion efficiency. The MATLAB/Simulink tool is employed to carry out the experiment for this study.
Missed postoperative metabolic acidosis associated with sodium-glucose transporter 2 inhibitors in cardiac surgery patients: a retrospective analysis
Authors: Kim Hyeon A , Kim Joo Yeon , Kim Young Hwan , Lee Young Tak , Park Pyo Won
Published: April 2024

The increasing use of sodium glucose transporter 2 inhibitors (SGLT2i) for treating cardiovascular (CV) diseases and type 2 diabetes (T2D) is accompanied by a rise in euglycemic diabetic ketoacidosis occurrences in cardiac surgery patients. Patients undergoing cardiac surgery, due to their pre-existing CV disease which often requires SGLT2i prescriptions, face an increased risk of postoperative metabolic acidosis (MA) or ketoacidosis (KA) associated with SGLT2i, compounded by fasting and surgical stress. The primary aim of this study is to quantify the incidence of SGLT2i-related postoperative MA or KA and to identify related risk factors. We analyzed data retrospectively of 823 cardiac surgery patients, including 46 treated with SGLT2i from November 2019 to October 2022. Among 46 final cohorts treated preoperatively with SGLT2i, 29 (63%) developed postoperative metabolic complications. Of these 46 patients, stratified into two categories based on postoperative laboratory findings, risk factor analysis were conducted and compared. Analysis indicated a prescription duration over one week significantly elevated the risk of complications (Unadjusted OR, 11.7; p = 0.032*; Adjusted OR, 31.58; p = 0.014*). A subgroup analysis showed that a cardiopulmonary bypass duration of 60 min or less significantly raises the risk of SGLT2i-related postoperative MA in patients with a sufficient prescription duration. We omitted the term "diabetes" in describing complications related to SGLT2i, as these issues are not exclusive to T2D patients. Awareness of SGLT2i-related postoperative MA or KA can help clinicians distinguish between non-life-threatening conditions and severe causes, thereby preventing unnecessary tests and ensuring best practice.
Experimental validation and comprehensive analysis of m6A methylation regulators in intervertebral disc degeneration subpopulation classification
Authors: Xu Xiaoqian , Shen Lianwei , Qu Yujuan , Li Danyang , Zhao Xiaojing , Wei Hui , Yue Shouwei
Published: April 2024

Intervertebral disc degeneration (IVDD) is one of the most prevalent causes of chronic low back pain. The role of m6A methylation modification in disc degeneration (IVDD) remains unclear. We investigated immune-related m6A methylation regulators as IVDD biomarkers through comprehensive analysis and experimental validation of m6A methylation regulators in disc degeneration. The training dataset was downloaded from the GEO database and analysed for differentially expressed m6A methylation regulators and immunological features, the differentially regulators were subsequently validated by a rat IVDD model and RT-qPCR. Further screening of key m6A methylation regulators based on machine learning and LASSO regression analysis. Thereafter, a predictive model based on key m6A methylation regulators was constructed for training sets, which was validated by validation set. IVDD patients were then clustered based on the expression of key m6A regulators, and the expression of key m6A regulators and immune infiltrates between clusters was investigated to determine immune markers in IVDD. Finally, we investigated the potential role of the immune marker in IVDD through enrichment analysis, protein-to-protein network analysis, and molecular prediction. By analysising of the training set, we revealed significant differences in gene expression of five methylation regulators including RBM15, YTHDC1, YTHDF3, HNRNPA2B1 and ALKBH5, while finding characteristic immune infiltration of differentially expressed genes, the result was validated by PCR. We then screen the differential m6A regulators in the training set and identified RBM15 and YTHDC1 as key m6A regulators. We then used RBM15 and YTHDC1 to construct a predictive model for IVDD and successfully validated it in the training set. Next, we clustered IVDD patients based on the expression of RBM15 and YTHDC1 and explored the immune infiltration characteristics between clusters as well as the expression of RBM15 and YTHDC1 in the clusters. YTHDC1 was finally identified as an immune biomarker for IVDD. We finally found that YTHDC1 may influence the immune microenvironment of IVDD through ABL1 and TXK. In summary, our results suggest that YTHDC1 is a potential biomarker for the development of IVDD and may provide new insights for the precise prevention and treatment of IVDD.
Development and validation of the relational behavior interactions scale for couples
Authors: Harel Tal , Koslowsky Meni
Published: April 2024

In this research, we developed and validated a measure of couple-based reported behavior interactions (RBI). Specifically, Study 1 was designed to describe the development of the scale and to examine its reliability; Study 2 (N = 222), was designed to examine factors that could differentiate men and women. Additionally, we tested if women's behaviors could predict their partner's behavior. Results from the exploratory factor analysis (EFA) revealed a three-factor structure for couples' RBI which were labelled: Social Companionship and Affective Behavior Interactions (SAI) (Factor 1), Fulfilling Obligations and Duties of the Partner (FOD) (Factor 2) and Openness in the Relationship (OR) (Factor 3). In linear regression analyses, there was a significant difference between men and women in the second factor, which represents behaviors associated with fulfilling the responsibilities of a partner. On the other hand, neither the SAI factor nor the OR factor showed any distinct gender differences. The SPSS PROCESS analysis revealed that women's Social Companionship and Affective Behavior Interactions (Factor 1), and Openness in the Relationship (Factor 3) significantly predicted their male partner's behaviors. The relationship duration significantly moderated the association between women's and men's behaviors for both factors. Results are discussed in light of the need for a broader understanding of romantic behavioral interactions.
Determinants associated with low dietary diversity among migrants to Morocco: a cross sectional study
Authors: Essayagh Firdaous , Essayagh Meriem , Lambaki Abdellah , Naji Ahmed Anouar , Essayagh Sanah , Essayagh Touria
Published: April 2024

Low dietary diversity (LDD) is prevalent among vulnerable populations, posing a morbidity risk. Few studies have been conducted on the dietary diversity of migrants. The objectives of this study are to determine the prevalence of LDD among migrants in Morocco and the risk factors associated with it. In the Oriental region, we conducted a cross-sectional study with migrants between November and December 2021. The sampling method used was convenience sampling. A face-to-face, structured questionnaire was used to collect sociodemographic, behavioral, and clinical data. We calculated a dietary diversity score based on a 24-h food recall and assessed food intake. The risk factors associated with LDD were identified using multivariate logistic regression. A total of 445 migrants was enrolled. The prevalence of LDD was 31.7%. Risk factors associated with LDD were: being homeless (adjusted Odds Ratio (AOR) of 6.32; CI% [3.55–11.25]), a lack of social support (AOR of 2.30; CI% [1.33–03.98]), and low monthly income (AOR of 8.21; CI% [3.39–19.85]). Public policies must focus on social and environmental determinants. Nutrition training programs should be set up for the migrant population.
Fetal and neonatal outcomes of posterior fossa anomalies: a retrospective cohort study
Authors: Alsehli Hanan , Alshahrani Saeed Mastour , Alzahrani Shatha , Ababneh Farouq , Alharbi Nawal Mashni , Alarfaj Nassebah , Baarmah Duaa
Published: April 2024

The primary aim of this study was to estimate the incidence of posterior fossa anomalies (PFA) and assess the associated outcomes in King Abdulaziz Medical City (KAMC), Riyadh. All fetuses diagnosed by prenatal ultrasound with PFA from 2017 to 2021 in KAMC were analyzed retrospectively. PFA included Dandy–Walker malformation (DWM), mega cisterna magna (MCM), Blake's pouch cyst (BPC), and isolated vermian hypoplasia (VH). The 65 cases of PFA were 41.5% DWM, 46.2% MCM, 10.8% VH, and 1.5% BPC. The annual incidence rates were 2.48, 2.64, 4.41, 8.75, and 1.71 per 1000 anatomy scans for 2017, 2018, 2019, 2020, and 2021, respectively. Infants with DWM appeared to have a higher proportion of associated central nervous system (CNS) abnormalities (70.4% vs. 39.5%; p-value = 0.014) and seizures than others (45% vs. 17.9%; p-value = 0.041). Ten patients with abnormal genetic testing showed a single gene mutation causing CNS abnormalities, including a pathogenic variant in MPL, C5orf42, ISPD, PDHA1, PNPLA8, JAM3, COL18A1, and a variant of uncertain significance in the PNPLA8 gene. Our result showed that the most common PFA is DWM and MCM. The autosomal recessive pathogenic mutation is the major cause of genetic disease in Saudi patients diagnosed with PFA.
Comparative molecular profiling of pancreatic ductal adenocarcinoma of the head versus body and tail
Authors: Abdelrahim Maen , Esmail Abdullah , Kasi Anup , Esnaola Nestor F. , Xiu Joanne , Baca Yasmine , Weinberg Benjamin A.
Published: April 2024

Pancreatic ductal adenocarcinoma (PDAC) of the head (H) and body/tail (B/T) differ in embryonic origin, cell composition, blood supply, lymphatic and venous drainage, and innervation. We aimed to compare the molecular and tumor immune microenvironment (TIME) profiles of PDAC of the H vs. B/T. A total of 3499 PDAC samples were analyzed via next-generation sequencing (NGS) of RNA (whole transcriptome, NovaSeq), DNA (NextSeq, 592 genes or NovaSeq, whole exome sequencing), and immunohistochemistry (Caris Life Sciences, Phoenix, AZ). Significance was determined as p values adjusted for multiple corrections (q) of <0.05. Anatomic subsites of PDAC tumors were grouped by primary tumor sites into H (N = 2058) or B/T (N = 1384). There were significantly more metastatic tumors profiled from B/T vs. H (57% vs. 44%, p < 0.001). KRAS mutations (93.8% vs. 90.2%), genomic loss of heterozygosity (12.7% vs. 9.1%), and several copy number alterations (FGF3, FGF4, FGF19, CCND1, ZNF703, FLT4, MUTYH, TNFRS14) trended higher in B/T when compared to H (p < 0.05 but q > 0.05). Expression analysis of immuno-oncology (IO)-related genes showed significantly higher expression of CTLA4 and PDCD1 in H (q < 0.05, fold change 1.2 and 1.3) and IDO1 and PDCD1LG2 expression trended higher in B/T (p < 0.05, fold change 0.95). To our knowledge, this is one of the largest cohorts of PDAC tumors subjected to broad molecular profiling. Differences in IO-related gene expression and TIME cell distribution suggest that response to IO therapies may differ in PDAC arising from H vs. B/T. Subtle differences in the genomic profiles of H vs. B/T tumors were observed.
Distinct forms of structural plasticity of adult-born interneuron spines in the mouse olfactory bulb induced by different odor learning paradigms
Authors: Ferreira Aymeric , Constantinescu Vlad-Stefan , Malvaut Sarah , Saghatelyan Armen , Hardy Simon V.
Published: April 2024

The morpho-functional properties of neural networks constantly adapt in response to environmental stimuli. The olfactory bulb is particularly prone to constant reshaping of neural networks because of ongoing neurogenesis. It remains unclear whether the complexity of distinct odor-induced learning paradigms and sensory stimulation induces different forms of structural plasticity. In the present study, we automatically reconstructed spines in 3D from confocal images and performed unsupervised clustering based on morphometric features. We show that while sensory deprivation decreased the spine density of adult-born neurons without affecting the morphometric properties of these spines, simple and complex odor learning paradigms triggered distinct forms of structural plasticity. A simple odor learning task affected the morphometric properties of the spines, whereas a complex odor learning task induced changes in spine density. Our work reveals distinct forms of structural plasticity in the olfactory bulb tailored to the complexity of odor-learning paradigms and sensory inputs.
Effect of short-term moderate intake of ice wine on hepatic glycolipid metabolism in C57BL/6J mice
Authors: Ma Xinyuan , Liu Yang , Han Fuliang , Cheng Tiantian , Wang Kaixian , Xu Yiwen
Published: April 2024

6-week-old male C57BL/6J mice were divided into control, fructose, alcohol, low- and high-dose ice wine groups to study the effects of ice wine intake. Results showed that short-term moderate intake of ice wine within 4 weeks may not significantly affect hepatic glycolipid metabolism in mice.
Probing the heterogeneity of molecular level organization of ionic liquids: a comparative study using neutral Nile red and cationic Nile blue sulfate as fluorescent probes for butyrolactam-based protic ionic liquids
Authors: Dash Bignya Rani , Gardas Ramesh L. , Mishra Ashok Kumar
Published: April 2024

The use of Nile red and Nile blue sulfate, a pair of similar fluorescence dyes with different ionicities, can differentially probe the polar and non-polar domains of ionic liquid media.
Thermal plasma-synthesized gray-black TiO2 with abundant oxygen vacancies for high-efficiency solar desalination
Authors: Li Fei , Liu Chang , Dong Yuanjiang , Jin Huacheng , Li Baoqiang , Ding Fei , Yuan Fangli
Published: April 2024

The preparation of TiO2 containing a large number of oxygen vacancies is achieved by thermal plasma, which reduces its energy band and achieves high efficiency seawater desalination.
A high-breakdown-voltage β-Ga2O3 nanoFET with a beveled field-plate structure
Authors: Kim Jeongmin , Kim Hyeongwoo , Kang Inho , Kim Junghun , Ko Seokjin , Bae Jinho , Kim Jihyun
Published: April 2024

The three-terminal off-state breakdown voltage of the β-Ga2O3 nanoFET with beveled field-plate (FP) was obtained at +441 V, enhanced by downstream plasma-etched 60° h-BN FP structure.
Recent advances in ionic molecules applied in perovskite solar cells
Authors: Xie Yuansi , Wu Bo , Gao Deqing
Published: April 2024

A review concerning the interaction mechanisms and functions of various types of ionic molecules in perovskite solar cells in the past year, as well as suggestions on their molecular design and future studies.
Fuzzy Logic-Based Energy Storage Management for Grid Resilience
Authors: Vatin Nikolai Ivanovich , Rekha M. , Nautiyal Mansi , Kumar Ravi , Suri Sahil , Rajoria Yogendra Kumar
Published: April 2024

In this study, we present and examine the implementation of a fuzzy logic-driven energy storage management system devised to enhance the efficiency of charging and discharging activities in modern power grids. By using real data derived from the installation of the system, our research aims to assess its effectiveness in bolstering grid resilience and stability. The system integrates linguistic factors and employs rule-based decision-making, enabling it to adapt charging and discharging techniques in real-time to the prevailing grid circumstances. The results unequivocally indicate a noteworthy enhancement in the efficiency of the system, exhibiting a percentage alteration spanning from 8% to 12%, hence confirming the system’s inherent ability to mitigate energy losses throughout its operating cycles. Moreover, the use of the fuzzy logic controller significantly enhances the Grid Reliability Index, exhibiting a percentage variation ranging from 10% to 15%, so demonstrating a higher level of stability and responsiveness to grid demand. The controller’s flexibility is highlighted by doing sensitivity analysis, which demonstrates its strong decision-making skills across many contexts. The charging and discharging techniques are meticulously tuned, demonstrating a percentage fluctuation of 15% to 20% in accordance with diverse grid situations, effectively optimizing the exploitation of renewable energy sources. The practical usefulness of the proposed system is confirmed by the validation of simulation results against historical data. The research incorporates ethical issues, such as clear communication, user permission, and socio-economic implications, to underscore the appropriate application of modern energy management technology. The results of this study significantly enhance the overall comprehension of fuzzy logic-driven systems, presenting a very promising resolution for the enhancement of energy storage operations and the progression of robust and environmentallyfriendly energy infrastructures.
Unlocking sustainable tourism: A holistic examination of mobile applications’ impact and evolution in travel experiences (2013-2023)
Authors: Chadha Priyanka , Gera Rajat , Awasthi Shweta , Yadav Anshu , Kansal Lavish , Kumar A. Vinay , Saxena Anil Kumar , Parashar Komal
Published: April 2024

This study delves into the transformative role of mobile applications in shaping sustainable tourism from 2013 to 2023. Analysing 56 articles from Scopus, it reveals the pervasive influence of these apps beyond altering traveller behaviour, encompassing destination management, and fostering sustainability. Mobile apps contribute to environmental conservation, cultural heritage preservation, and responsible tourism practices. The research emphasizes integrating sustainability principles into app development, including reducing ecological footprints and promoting environmental awareness among travellers. Leading studies highlight mobile apps not just as enhancers of user experiences but also as drivers for sustainable travel behaviours, emphasizing local cultural engagement and environmental stewardship. This study offers a comprehensive view, urging ongoing research leveraging mobile technology to propel sustainable practices within the tourism industry.
Green Nanotechnology Based Sustainable Energy Solutions and Environmental Impacts
Authors: Devade Kiran , Singh Pradeep Kumar , Kumar Sandeep , Kumar Himanshu , Prasad Brijesh , Rao A.L.N. , Sankhyan Akhil
Published: April 2024

This study focuses on the possible transformative effects that green nanotechnology has in the healthy energy applications and the repression of nature`s negative impacts. By means of environmentallyfriendly production of these nanomaterials, including silver nanoparticles (AgNPs) and quantum dots, the current research produced the marked increase in efficiency of solar cells, with a jump to 53% in efficiency compared to traditional solar cells. Moreover, the dopping of lithium-ion cells with silicon nanoparticles brought about a great enhancement, exhibiting a 50% specific capacity progress contrasted with the batteries that continued traditional anodes. Hence, these excellent findings demonstrate the effectiveness of nanotechnology in transforming energy that gathers and holds technology. The paper did an LCA that entailed a detailed analysis of the life cycle of green nanomaterials in order to measure the impact on the environment. The analysis presented by the LCA indicated the application of alternative materials that resulted in a significant reduction of GHG’s (32%), energy of 33%, and In TP of 37%) in comparison with conventional ones. This highlights the sustainability gains that will be obvious by the use of green nanotechnology as a technology of choice, in energy applications. The findings provide numerous beneficial principles for development of green technologies.
Vulnerability of the Building Construction Safety System Based on ANP-SD
Authors: Chen Bin , Xiong Jing
Published: April 2024

The study aims to analyze the evolution trend of system vulnerability under the interactive relationship of building construction risk factors. Based on social technology theory, the influencing factors are analyzed from four subsystems: individual, technology, organization management, and internal and external environment. By using the method of “network AHP” (ANP), the “relative value” and “absolute value” of each factor are established. A comprehensive simulation model is established to simulate and analyze the “single” and “combined” control modes. The results show that, compared with the vulnerability of the building construction system in the initial state, the minimum decline of the vulnerability evolution trend of the building construction system is only 1.28%, and the maximum is only 14.2% after adopting a single control measure. Among them, the biggest decline in the vulnerability evolution trend is the construction of enhanced safety culture in personal subsystem control measures. After taking joint control measures, the decline of vulnerability evolution trend of the housing construction system is [25.96%, 36.8%]. The control effect of joint control measures is not that the more control measures are taken, the better. However, it depends on the absolute coefficient of the related factors of the influencing factors of the trunk center and the subsystem to which they belong to provide a reference for the risk control of housing construction.