bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing Precipitation Forecasting and Agricultural Water Resource Allocation Using the Gaussian-Stacked- LSTM Model
Authors: Zhang Yibo , Wang Chengcheng , Wang Pengcheng , Zhang Lu , Yu Qingbo , Xu Hui , Wang Maofa 
Published: November 2023

Abstract

This article presents an investigation into the performance of various models in daily precipitation prediction using the dataset introduced in this study. The study involves the application of multiple models for daily precipitation forecasting across 56 meteorological stations in China's Jilin Province. The models under consideration include Stacked Long Short-Term Memory (LSTM), Transformer, and Support Vector Regression (SVR). A year-long continuous daily precipitation forecasting experiment was conducted using these diverse models on the same dataset, resulting in 365 consecutive daily precipitation forecasts. Subsequently, model evaluations were performed at an annual scale using Root Mean Square Error (RMSE). Notably, the study goes beyond modeling by introducing Gaussian noise into the dataset, enhancing the overall robustness of the models. The results show the superior performance of the Stacked-LSTM model, characterized by exceptional prediction accuracy and stability. Additionally, a comprehensive variable attribution analysis using LightGBM sheds light on the key factors influencing daily precipitation prediction, including temperature, dew point, precipitation from previous days, and air pressure, aligning with established meteorological principles. Moreover, the paper provides an intricate account of data preprocessing, model training procedures, and parameter configurations, making it a valuable reference for future daily precipitation forecasting initiatives. The findings emphasize the effectiveness of incorporating Gaussian noise into the dataset, particularly in improving prediction accuracy for days with zero precipitation. In an innovative extension, the study delves into the impact of precipitation predictions on water resource allocation, conducting experiments to optimize daily water distribution for farmland irrigation. Using the 2022 Beidahu precipitation data, two strategies were explored: Strategy A, involving equal water resource distribution, and Strategy B, which allocates resources based on predictive values. The results demonstrate that allocating resources based on predictions leads to a more rational and effective distribution, contributing to improved water resource management. In conclusion, this research not only provides valuable insights into daily precipitation prediction with deep learning models but also extends its contributions to the realm of water resource management, underscoring its relevance in meteorological forecasting and broader applications.
Exploring the medicinal potential of in vitro cultures for enhanced production of metabolite empowered by green silver nanoparticles in Alhagi maurorum Medik
Authors: BAMAL DEEPAK , SEHRAWAT ANITA RANI , SINGH ANOOP , SWAMI NISHA 
Published: November 2023

Abstract

Alhagi maurorum, a valuable medicinal plant, presents an opportunity for sustainable biomass production and the amplification of therapeutic compounds. Here, MS Medium containing BAP (3.0 mg/L), NAA (0.1 mg/L), kinetin (0.50 mg/L) and including ascorbic acid (50.0 mg/L), adenine sulfate (25.0 mg/L), citric acid (25.0 mg/L), and arginine (25.0 mg/L) were used for callus formation, multiplication and differentiation from shoot tip with cotyledons and hypocotyl explants. The effectiveness of biologically synthesized silver nanoparticles (AgNPs) on the growth, differentiation of calli, plantlet formation and antioxidant accumulation of Alhagi maurorum tissues was investigated. The biogenic AgNPs synthesis and characterization were confirmed UV-Vis spectroscopy. The size shape and nature were confirmed via zeta potential, FTIR, XRD, SEM, and TEM analysis. Incorporating green-synthesized AgNPs (2.0, 4.0, 6.0, 8.0, 10.0, and 12.0 mg/L) in conjunction with plant growth regulators, significantly promoted embryogenic callus formation, proliferation and differentiation, demonstrating nanotechnology's potential in plant tissue culture. Adding 8.0 mg/L AgNPs in callus cultures showed higher accumulation of total soluble protein (45.56 and 43.58 mg/gDW), total free amino acids (17.46 and 16.56 mg/gDW), and total starch (43.59 and 32.43 mg/gDW) from cotyledons and hypocotyl, respectively. Total phenolic compounds (185.68 and 179.40 mg/g DW GAE), total flavonoids (71.38 and 68.01 mg/gQE) from cotyledons and hypocotyls, respectively were reported in the cultures raised at 8.0 mg/L AgNPs concentration in MS media. Enhanced activities of superoxide dismutase (97.83 and 93.34% inhibition), peroxidase (2.54 and 2.42 U), catalase (65.63 and 65.50 U), ascorbate peroxidase (0.61 and 0.49 mM/mg FW), and glutathione reductase (0.96 and 0.78 U), were reported at the same concentration of AgNPs for cotyledon and hypocotyl derived tissues, respectively. Future research should focus on elucidating the molecular mechanisms governing nanoparticle-plant interactions and addressing potential health challenges. Hence, the present research shed light on the therapeutic significance of Alhagi maurorum and the potential applications of AgNPs in the enhanced production of valuable compounds.
Potentilla nepalensis leaf extract revealed p53, Nf-kB1, and HSP proteins as biomarkers – Network Pharmacology, Molecular Docking and Dynamic studies
Authors: Praveen Mallari , Buendia Ricardo 
Published: November 2023

Abstract
Potentilla nepalensis belongs to the Rosaceae family, and has numerous therapeutic applications as potent plant-based medicine. Forty phytoconstituents (PCs) from the root and stem through n-hexane (NR and NS) and methanolic (MR and MS) extracts were identified in our earlier studies. However, the PCs affecting human genes and their roles in the body are not disclosed till now. In this study, we employed network pharmacology, molecular docking, molecular dynamics simulations (MDS), and MMGBSA methodologies. SMILES format of PCs from the PubChem used as input to DIGEP-Pred, 764 identified as the inducing genes. Their enrichment studies have shown inducing genes gene ontology descriptions, involved pathways, associated diseases, and drugs. PPI networks constructed in String DB and network topological analysing parameters done in Cytoscape v3.10 revealed three biomarkers, TP53 from MS, NR, and NS induced genes; HSPCB and Nf-kB1 from MR induced genes. From 40 PCs, two PCs 1b (MR) and 2a (MS), showed better binding scores (kcal/mol) with p53 protein of -8.6, and − 8.0; three PCs 3a, (NR) 4a and 4c (NS) with HSP protein of -9.6, -8.7, and − 8.2. MDS and MMGBSA revealed these complexes are stable without higher deviations with better free energy values. Biomarkers identified in this study, have a prominent role in numerous cancers. Further wet lab investigations are required to determine the molecular functions and interlaying mechanism by P.nepalensis leaf PCs on the biomarkers identified.
Study on the ability and heterogeneity of oil water two-phase flow in sandstone
Authors: Li Yaoting , Chen Shijia , Chen Lin , Jiang Li , Yin Xiangdong 
Published: November 2023

Abstract
It is difficult to analyze the heterogeneity of sandstone reservoir and the seepage law of multi-phase fluid in Porous medium. Traditional experimental methods are difficult to accurately characterize the multi-phase flow and seepage characteristics of heterogeneous sandstone. This study focuses on the marine continental transitional sandstone reservoir in the the Pearl River Mouth Basin, South China Sea, and analyzes the influence of oil-water permeability of sandstone and pore throat radius on permeability. The finite element seepage model of oil-water two-phase in heterogeneous sandstone is constructed based on the Weibull distribution function, and the seepage simulation is carried out in combination with the actual geological profile. The analysis results indicate that the transitional sandstone between sea and land has higher bound water saturation and narrower pore throat radius compared to conventional sandstone. The numerical simulation results show that the porosity, permeability, and pressure gradient of sandstone have a significant impact on the two-phase flow ability of sandstone, while the influence of bound water saturation is relatively small, while the residual oil saturation has no effect. Weibull distribution function can better characterize the heterogeneity of sandstone reservoir. The shape parameters of Weibull distribution have more significant influence on rock heterogeneity. The larger the shape parameter of Weibull distribution function is, the more concentrated the sandstone seepage velocity field and oil saturation distribution are, and the farther the seepage distance is; The larger the scale parameter of Weibull distribution is, the more dispersed the sandstone seepage velocity field and oil saturation distribution are, and the farther the seepage distance is. Based on physical simulation experiments and numerical simulation results of crude oil migration, due to the heterogeneity between sandstone and mudstone, the fluid selectively fills sandstone reservoirs with better physical properties. The simulated oil water seepage characteristics are also in good agreement with the distribution of actual oil reservoirs.
To, Editorial Office Applied Biochemistry and Biotechnology Screening Natural Compounds using Zinc 15 Database for Insilico Study of GSK-3β Inhibitors as anti-Alzheimer Potential
Authors: Chaudhari Somdatta Y. , Shinde Namrata N. , Nagalapur Pooja Prabhu , Malusare Anita Vijay , Ghosh Arabinda , Borah Sudarshana , Patel Pinkal , Rathod Vivek D. , Jadhav Shailaja B. , Chaudhari Pravin D. 
Published: November 2023

Abstract
Alzheimer's disease is a neurologic condition that predominantly afflicts the elderly, characterized by its progressive and multifaceted nature, and recognized as the primary global source of dementia. In 2019, Alzheimer's disease ranked as the 7th most common cause of death. In the year 2023, it is estimated that around 6.7 million Americans who are aged 65 and above are grappling with disease. AD poses a significant worldwide health challenge, demanding inventive methods for the discovery of new drugs. GSK-3beta plays a role in phosphorylating the tau protein, which is a central element in the formation of neurofibrillary tangles. The inhibition of GSK-3β presents a fresh approach to reducing the development of both amyloid plaques(Aβ) and neurofibrillary tangles, which are two key pathological hallmarks of AD. The exploration of natural compound databases through virtual screening represents a highly promising avenue in the pursuit of innovative Alzheimer's disease treatments. In this study, we have selected a natural product database derived from ZINC15. Initially, the 2,24,191 natural compounds underwent screening to assess their ability to meet BBB parameters and ADMET properties. Based on the results of ADMET analysis, the most promising compounds (4241) were chosen and subjected to docking studies using Auto Dock Vina. Subsequently, the top compounds were selected from the docking outcomes having binding scores higher than that of standard co-crystal ligand OH8 (-8.4 kcal/mol) and CNS MPO Score between 0 to 6. The molecular dynamics simulation results indicated that the compounds remained stable throughout the entire simulation duration, exhibiting improved (RMSD) and (RMSF) values compared to the standard ligand.
Assessment of the research output in SCOPUS-indexed publications and Open Access Initiatives of Top NIRF-ranked universities in India (2018-2023)
Authors: Bandi Ishappa Channappa , T Harish H , Laxmeshwar Sameer 
Published: November 2023

Abstract
National ranking systems of the universities in India, and the Open Access initiatives, emphasize the roles of research publications towards enhancing the national research output by achieving higher visibility for the novel works and their citations. The present study insights from the critical analyses of the institutional performances in the top NIRF-ranked universities of the last six years and Scopus-indexed publications. The impacts of constraining factors such as the COVID-19 pandemic on research publications have also been assessed by mapping the annual growth rate (AGR) for each of these universities. Results of the investigation show that the outputs of many of the universities surveyed (n=12 out of 14) had been adversely affected by the pandemic during 2020, regarding the number of publications an affiliated researcher published in SCOPUS-indexed journals. Further, the study discusses the best practices adopted by the top-ranked Indian universities publishing open access (OA) resources. The read and publish agreements with leading publishers, the visibility of the OA publications from deemed-to-be universities like MAHE, Manipal was about 44.79%. Other action plans to boost research outputs, such as providing APC charges by the universities for the OA publications (e.g. VIT, Vellore), boosted the inclination towards open-access publications. The present study illustrates case-specificity in associations between AGR and NIRF-ranking for only two universities (IISc Bangalore and MAHE Manipal) ranked within the top 10 universities. This illustrates the deeper commitment to the best practices within these universities as reasons for higher productivity despite the pandemic scenario.
Discovering causal genes and comorbidities for asthma
Authors: Zaied Roan E. , O’Sullivan Justin M. , Gokuladhas Sreemol , Walker Caroline 
Published: November 2023

Abstract
Asthma is a heterogeneous phenotype that is often associated with other phenotypes. Identifying the genetic mediators that modulate the interaction between asthma and asthma-associated conditions will help inform our understanding of asthma heterogeneity. Here, we used Mendelian randomisation to identify asthma causal genes and their modifier spatial eQTLs within lung and whole blood-specific gene regulatory networks (GRNs), which integrate information on spatial genome organisation with tissue-specific expression quantitative trait loci (eQTL) data. Subsequently, we located the asthma-causal genes in the tissue-specific GRNs to define a putative asthma GRN and identified curated protein interaction partners occurring up to 4 edges (levels) away from the asthma GRN (level 0). We then queried the GWAS Catalog with the spatial eQTLs regulating level 0-4 genes to identify the GWAS traits enriched at each level (hypergeometric test; FDR≤0.05). This identified 113 traits significantly enriched in the regulatory space proximal to asthma, 106 of which had known associations with asthma (e.g., systemic lupus erythematosus and age-related macular degeneration) and seven traits whose association with asthma is yet to be confirmed. Importantly, our analysis identifies the genes and SNPs that modulate the interaction between asthma and asthma-associated traits by identifying the direct and indirect protein interacting partners of asthma causal genes. Finally, we highlight the druggable genes identified in our analysis, thereby providing new drug-repurposing opportunities for asthma.
The Role of the Internet in Influencing Self-Medication Behaviors Among Urban Residents in India: A Cross-sectional Study
Authors: Prabhune Akash , Sivakumar Shriraam , Patil Vaibhav Dilip , Priya P S Karpaga 
Published: November 2023

Abstract
Objective
The objective of the study was to understand the influence of the internet on self-medication practices amongst the laypeople residing across the three urban centres (Bengaluru, Amritsar, and Chennai).
Methodology:
This cross-sectional study explores the role of the internet in influencing self-medication behaviours among urban residents in three Indian cities: Bengaluru, Amritsar, and Chennai. A web-based questionnaire was administered to adults aged 18 and above, excluding medical and allied medical students, resulting in 350 valid responses.
Results
The findings reveal that 34.5% of respondents had engaged in self-medication in the past three months, with 35.5% of them citing the internet as a source of information for self-medication decisions. The study identified the most common reasons for self-medication, such as minor ailments not necessitating a healthcare provider's consultation (36%) and the convenience of timesaving (35.4%). Internet usage was more prevalent among participants aged 21–40 years, with Bengaluru reporting the highest internet-based self-medication instances (62%). When examining the role of the internet in self-medication, the study found that it significantly influenced decision-making in 26.7% of the cases. Participants primarily used internet search engines (87%) to gather information, with a focus on drug prices (60%) and common adverse effects (19%). Importantly, this study assessed the risk of adverse events associated with internet-based self-medication and found no statistically significant difference when compared to self-medication based on old prescriptions or advice from family and friends.
Conclusion
This study sheds light on the evolving patterns of self-medication practices in urban India, highlighting the growing role of the Internet as a source of information. While concerns about the internet's influence on self-medication exist, the study's findings suggest that it does not pose a significantly higher risk of adverse events compared to traditional sources of information. Further research on self-medication behaviours across diverse populations and regions is warranted to gain a comprehensive understanding of this prevalent healthcare practice.
Large intradiploic arachnoid cyst of the skull in child – a case report and new terminology proposition
Authors: Drożdż Adrian , Wojciechowski Tomasz , Ciszek Bogdan , Stopa Zygmunt 
Published: November 2023

Abstract
We present a rare finding of the arachnoid matter invaginating into the base of middle cranial fossa and creating an abnormal space. Presented entity was incidentally found in head CT scan of 12-year-old male. Based on the radiological characteristics in CT scans and MR image the diagnosis of intradiploic arachnoid cyst (AC) was suggested. After surgical intervention and histopathological analysis of the specimen the diagnosis was confirmed. We assume this is the first description of large intrasphenoid AC without any traumatic or iatrogenic cause. The literature provides many different terms for the phenomenon. We are proposing term intradiploic arachnoid diverticulum as the more accurate for capture the essence of the phenomenon. It provides clear differentiation of the entities from classical arachnoid cysts since they are of different anatomical localization (intradural vs. extradural) and etiopathogenesis. Management with arachnoid diverticulum is not yet established. Surgical intervention may be required because of the risk of bone destruction and cerebro-spinal fluid leakage.
Neglected Children with Cystic Fibrosis due to War (Turkey Profile of Refugee Patients)
Authors: Yılmaz Aslı İmran , Pekcan Sevgi , Eyüboğlu Tuğba Şişmanlar , Hangül Melih , Aslan Hüseyin , Kılınç Ayşe Ayzıt , Çokuğraş Haluk , Arık Elif , Keskin Özlem , Özdemir Ali , Ersoy Murat , Ersoy Ali , Köse Mehmet , Özsezen Beste , Ünal Gökçen , Ercan Ömür , Girit Saniye , Oksay Sinem Can , Gökdemir Yasemin , Karadağ Bülent , Şen Velat , Çakır Erkan , Yüksel Hasan , Tekin Merve Nur , Aslan Ayşe Tana 
Published: November 2023

Abstract
Introduction: Since the outbreak of the Syrian civil war in 2011, the population of Arab refugees in Turkey has rapidly increased. While cystic fibrosis (CF) is believed to be rare among Arabs, recent studies suggest it is underdiagnosed. This study aims to present the demographic, clinical, and genetic characteristics of CF patients among Arab refugees in Turkey. Additionally, a comparison is made between the findings in the National CF Registry 2021 in Turkey (NCFRT) and the refugee CF patient group. Materials and Methods: The study included refugee patients between the ages of 0 and 18 years who were diagnosed with CF and received ongoing care at pediatric pulmonology centers from March 2011 to March 2021. The study examined demographic information, age at diagnosis, age of diagnosis of patients through CF newborn screening (NBS), presenting symptoms, CFTR mutation test results, sputum culture results, weight, height, and body mass index (BMI) z score. Their results were compared with the NCFRT results. Results: The study included 14 pediatric pulmonology centers and 87 patients, consisting of 46 (52.9%) boys and 41 (47.1%) girls. All of the patients were Arab refugees, with 80 (92%) being Syrian. The median age at diagnosis of patients was 22.33 (1-258) months. The median age of diagnosis of patients through NBS was 4.2 (1–12) months. Parental consanguinity was observed in 52 (59.7%) patients. The most frequently found mutation (22.2%) was F508del, found in 32 out of 144 alleles. There was a large number of genetic variations. Compared to NCFRT, refugee patients were diagnosed later and long-term follow-up of refugee CF patients had significantly worse nutritional status and pseudomonas colonization. Discussion: Although refugee CF patients have equal access to NBS programs and CF medications as well as Turkish patients, the median age at diagnosis of patients, the median age of diagnosis of patients through NBS, their nutritional status, and Pseudomonas colonization were significantly worse than Turkish patients, which may be related to the difficulties of living in another country and poor living conditions. The high genetic heterogeneity and rare mutations detected in the refugee patient group compared to Turkish patients. Well-programmed NBS programs, thorough genetic studies, and the enhancement of living conditions for refugee patients in the countries they relocate to can have several advantages such as early detection and improved prognosis.
Improved Rotating Kratzer-Fues Oscillator. Eigenenergies, Eigenfunctions, Coherent States and Ladder operators
Authors: Molski Marcin 
Published: November 2023

Abstract
Exact analytical energy formula for the rotating Kratzer-Fues oscillator with (v, J)-dependent potential parameters is obtained. It was used to reproduce the spectral data generated by the vibrational transitions v → v + 1, v = 0, 1...7
in J = 0, 1...47 rotational states of dinitrogen 14N2 and 15N2 in the grounde lectronic state X1Σ+g . Calculations performed for two isotopic variants enabled the selection of the mass-dependent and independent potential parameters defining
the model. To check the ability of the eigenenergies derived to reproduce rotational transitions measured with kHz accuracy, calculations for 74Ge32S, 79Br35Cl and 1H35Cl were performed, obtaining agreement between theoretical
and experimental results. Minimum uncertainty coherent states and ladder operators for the rotating improved Kratzer-Fues oscillator are also constructed.