bluuebunny/crossref_metadata_2025_split huggingface dataset:
DDE: Deep Dynamic Epidemiological Modelling for Infectious Illness Development Forecasting in Multi-level Geographic Entities
Authors: Liu Ruhan , Li Jiajia , Wen Yang , Li Huating , Zhang Ping , Sheng Bin , Feng David Dagan 
Published: October 2023

Abstract

Understanding and effectively addressing the dynamics of infectious diseases, including global diseases like COVID-19, is crucial for managing the current situation and developing effective intervention strategies. Epidemiologists commonly use epidemiological equations (EE) to model disease progression. Nevertheless, the traditional approach to parameter estimation in EE frequently faces challenges in accurately fitting real-world data, primarily due to factors like the different implementation of social distancing policies and intervention strategies. However, developing high-quality but complex EE models can be time-intensive for epidemiologists. Hence, we introduce a novel method known as the deep dynamic epidemiological (DDE) approach, which integrates the strengths of EE with the capabilities of deep neural networks (DNN) to enhance accuracy. The DDE method incorporates DNNs to model dynamic effects and adapt to evolving situations. It employs the neural ordinary differential equation (ODE) method to solve variant-specific equations, ensuring a precise fit to disease progression in diverse geographic regions. In this study, we introduce four variants of EE customized to address specific scenarios in different countries and regions. We assess the performance of our DDE method using real-world data from five diverse geographic entities (countries: the USA, Colombia, and South Africa; regions: Wuhan in China and Piedmont in Italy). We show that the DDE method outperforms alternative approaches, achieving the highest predictive accuracy in modeling disease progression across all five geographic entities. This paves the way for constructing a simplified EE model for various geographic levels.
Association of BMI with constipation among US adults:NHANES 2005-2010
Authors: Xiang Nengjun , Xu Lulu , qian haihua 
Published: October 2023

Abstract
Objective
This study aims to investigate the relationship between obesity and constipation among American adults.
Methods
We utilized data from the National Health and Nutrition Examination Survey involving adults aged 20 and above (n = 12,499). The study summarizes the weighted prevalence rates of obesity in American adults according to various BMI categories. To assess the association between normal BMI and constipation risk, we employed a weighted multivariate-adjusted logistic regression analysis.
Results
Our analysis revealed that the weighted prevalence rates of constipation differed significantly across BMI categories. Specifically, the rates were 10.67% for BMI < 18 kg/m2, 8.55% for BMI < 25 kg/m2, 6.71% for BMI between 25.0-29.9 kg/m2, and 5.45% for BMI > 30 kg/m2 (P < 0.01). After multivariable adjustment, compared to the underweight range (< 18 kg/m2), the odds ratios for constipation in BMI categories 18.0-24.9 kg/m2, 25.0-29.9 kg/m2, and > 30 kg/m2 are 1.04 (0.60, 1.82), 1.15 (0.92, 1.43), and 1.67 (1.35, 2.07), respectively.
Conclusions
This study reveals a negative correlation between phosphorus intake and chronic constipation.
NNN Pincer Palladium(II) Complexes with N-(2-(1H-Pyrazol-1-yl)Phenyl)-Picolinamide Ligands: Synthesis, Characterization, and Application to Heck Coupling Reaction
Authors: Xu Yongli , Wang Tao , Li Yonghua , Li Shuxiao , Zhang Yifan , Wang Jiaming , Li Fei , Jiang Heng 
Published: October 2023

Abstract
A series of novel NNN pincer palladium(II) complexes with N-(2-(1H-pyrazol-1-yl)phenyl)-picolinamide ligands 6 were prepared and characterized by spectroscopic methods. In addition, the molecular structures of complexes 6a and 6i have also been determined by X-ray single-crystal diffraction. The obtained palladium(II) catalysts showed efficient catalytic activity toward the Heck coupling of aryl bromides with olefins. Under the optimal reaction conditions, the expected various styrenes were obtained in moderate to high yields.
Analysis of the onset, withdrawal, and variability of monsoon rainfall in the face of climate change
Authors: Shariot-Ullah Md , Akhter Salma , Acharjee Tapos Kumar , Hasan Md Moudud 
Published: October 2023

Abstract
The study of rainfall variability is important to reveal the detailed characteristics of the precipitation system under climate change. The variation in monsoon rainfall during 1991–2015 in the northwestern hydrological zone in Bangladesh, which includes the Bogura, Rangpur, Dinajpur, Rajshahi, and Pabna meteorological stations, was analyzed to examine the past trend, arrival, and withdrawal pattern, and shifting of monsoon rainfall. The annual total rainfall and monsoon rainfall were analyzed to evaluate their trend using a statistical model called MAKESENS. Approximately 71–78% of the total rainfall occurred during the monsoon season at all stations. Rangpur was the rainiest station (2193 mm/year) and Rajshahi was the driest station (1394 mm/year). There was a decreasing trend of annual rainfall at most of the stations. The arrival and withdrawal days of the monsoon rainfall at all stations were highly variable; the arrival day varied between 1 May and 23 August, and the withdrawal day varied between 19 August and 27 October. The monsoon arrived early by 2 to 39 days and late by 1 to 72 days from the reference day (1 May). The withdrawal of monsoon rainfall occurred 1 to 38 days early and 1 to 39 days late from the reference day. The shifting of the monsoon did not reveal any significant pattern. The results of this study can be used to plan and manage agricultural practices at the local level of the northwestern Bangladesh.
Impact of climate change on groundwater resources in Jordan: a case study of Amman Zarqa basin
Authors: Kloub Abdulrahman , Alzboon Kamel k. 
Published: October 2023

Abstract
Climate change has added new challenges to water resource management in Jordan. Climatic change was determined for 27 climatic indicators using Climdex software. In addition, the Statistical Downscaling Model software (SDSM) based on three emissions scenarios (RCP 2.6, RCP 4.5, and RCP 8.5) was used to obtain future predictions related to rainfall rates, humidity, and minimum and maximum temperatures. For the groundwater system, MODFLOW was used for groundwater modeling in the study area. The results of Rclimdex analysis showed decreasing trends in precipitation indices during the study period, with a decrease of 0.048/year in the simple daily intensity index (SDII) and a decrease of 0.299/year in the annual count of days with PRCP ≥ 10 mm (R10mm). The results also showed a decrease in the extremely wet days index (R99p) with a slope of 1.458/year. The results of SDSM suggest a possible decrease in annual precipitation in 2070 compared to 2020 by approximately 34%, 22% and 12% for RCP 8.5, RCP 4.5 and RCP 2.6, respectively. The simulation results showed that the groundwater levels in the study area could drop dramatically at rates of more than 1 m/year, 0.7m/year, and 0.45m/year for RCP 8.5, RCP 4.5 and RCP 2.6, respectively.
A novel method for detecting conformation-dependent β-glucans - Single, double, and triple-helical from Shiitake mushroom
Authors: Chakraborty Shuvarghya , Beura Muskan , Devi Konjengbam Sarda , Singh Akoijam Ratankumar , Keerthana CS , Sharma Susheel Kumar , Singh Archana , Dahuja Anil , Krishnan Veda 
Published: October 2023

Abstract
This pioneering study explores the structural intricacies of therapeutic β-glucan in Shiitake (Lentinula edodes), i.e. Lentinan (LNT). Lentinan, a neutral polysaccharide [β-(1,3; 1,6) glucan], exists in three forms; single, double, and triple-helical, but conformation-dependent bioactivity studies are lacking. Many more, methods to estimate and quantify conformation-dependent forms can translate to structure-functionality relationships. In this context, we meticulously assessed indigenous Shiitake accessions from Northeast India, unveiling the conformational spectrum of LNT through an innovative pipeline. The experiment approached the simultaneous estimation of total glucan (TG), triple helical glucan (THG), and single-double helical glucan (SDG). Profiling revealed the exceptional LNT content in DMRO-623 (TG: 46.74%, SDG: 9.34%, THG: 37.39%) which emerged as the highest documented to date. Beyond the culinary delight, this research and the novel approach to LNT quantification will create a pivotal platform for advanced mushroom research, offering prospects for novel discoveries, innovative applications, and therapeutic potential.
Purification and inhibitor screening of the full-length SARS-CoV-2 nucleocapsid protein
Authors: Chen Chen , Zhang Zhengfu , Xia Yi , Zheng Qiao , Zhang Shujun 
Published: October 2023

Abstract
Since the end of 2020, the SARS-CoV-2 strain has undergone several mutations, and new variants continue to emerge. The immune escape ability of the mutants has enhanced, showing robust transmissibility. The neutralizing ability of the neutralizing antibodies produced during previous infections decreased in some mutants. This poses a severe challenge to the preventive and therapeutic effectiveness of vaccines and antibody drugs. Nucleocapsid protein, one of the main structural proteins of the coronavirus, plays an important role in the life cycle of the novel coronavirus and has proven to be one of the key targets for drug development. The first key step in drug development is to obtain pure nucleocapsid proteins. However, as nucleocapsid proteins have a nucleic acid binding function and can automatically undergo liquid–liquid phase separation and agglomerate, the purification of full-length nucleocapsids is extremely challenging. In this study, a set of easy-to-operate processes for the purification of nucleocapsid protein was developed. Finally, a pure full-length nucleocapsid protein without nucleic acid contamination was obtained. Subsequently, we also targeted the nucleic acid binding domain of the nucleocapsid protein and screened for potential SARS-CoV-2 inhibitors using virtual screening and biolayer interferometry (BLI) technology. Finally, a small molecule inhibitor, Light Green SF (KD = 19.9 µM), which can bind to nucleocapsid protein, was identified. In the future, we will continue to conduct more in-depth research and attempt to develop drugs that possess a good inhibitory effect on the current novel coronavirus mutants.
Water productivity maximization and ecosystem monitoring to estimate tourism economic value
Authors: Fu Maozheng , Luo Zhenrong , Feng Liying , Que Xiaoping 
Published: October 2023

Abstract
Water supply from a common pool resource based on productivity indicators for different uses is one of the goals of planning in dry areas. Productivity indicators are defined based on time, geographical location and hydrological conditions in the form of food security, economic benefits and ecosystem restoration. This study was conducted in order to evaluate the contrast between economic criteria and food security in the exploitation of water resources in Lu'an city in Anhui province of China. Probabilistic modeling based on the prediction of uncertain values using the Latin hypercube technique was used for hydrological variables and water resources. The method of data mining and trend analysis of dependent variables was also simulated to estimate economic values in the water cycle. Statistical information of 32 years from 1991 to 2022 has been collected and used as an annual average per population. The results showed that the economic value of water consumption in the tourism industry has increased compared to agriculture. The total water provided for food security is equal to 6.5 m3 per person, the excess of which can be allocated to other uses through weighting indicators based on ecosystem and quality.
Взаимосвязь архетипа индивида с восприятием образа его будущего
Authors: Рощупка Алина С. 
Published: October 2023

В разделе «Введение» автор приводит актуальность взаимосвязи архетипа индивида с восприятием его образа будущего, опираясь на теорию Карла Юнга. Актуальность заключается в возможности получить качественно новые данные, так как ранее изучение подобной взаимосвязи не было обнаружено. Анализируя статьи, посвященные тематике архетипов, автор привёл описание основных 12 архетипов, на которые и были классифицированы испытуемые благодаря методике Кэрол Пирсон. Каждый из основных типов описан с точки зрения главных характеристик и страхов. Целью эмпирического исследования и анализа теоретической составляющей выступает изучение тенденций к построению различных образов собственного будущего у представителей определённых архетипов. В разделе «Результаты» автор анализирует данные о восприятии респондентами временной перспективы в целом: образ настоящего, образ прошлого и образ будущего в частности и показывает, каким получилось распределение по типам среди респондентов. Также достаточные важные данные удалось получить благодаря интеграции в исследование методики «Опросник аттрибутивного стиля», так удалось укрепить уверенность в том, что люди архетипа «Правитель» более склонны воспринимать собственное будущее в позитивном ключе. Раздел «Обсуждение результатов» содержит в себе рефлексию на тему того, какие личностные характеристики определённых архетипов взаимосвязаны с большей склонностью воспринимать будущее положительно. Таким образом, автором статьи впервые была рассмотрена взаимосвязь архетипов и построения образа будущего у их обладателей.
Роль эмоционального интеллекта в развитии билингвов и его связь с языковыми способностями: литературный обзор
Authors: Ожерельева Анна Н. , Денисова Екатерина Г. 
Published: October 2023

Введение. Нами исследуются теоретические представления и эмпирические данные о влиянии эмоционального интеллекта на развитие психики билингвов, а также связь эмоционального интеллекта с языковыми способностями. Рассмотрены трудности в развитии детей-билингвов и роль эмоционального интеллекта в преодолении этих трудностей. Целью работы является теоретический анализ влияния эмоционального интеллекта на развитие естественных билингвов и их языковые способности, анализего роли эмоционального интеллекта в развитии искусственных билингвов, в частности, в преодолении языковой тревожности. Теоретическое обоснование. Дети, обладающие высоким уровнем эмоционального интеллекта, испытывают достоверно меньше трудностей в определении эмоционального содержания речи при общении на разных языках. Эмоциональный интеллект помогает в освоении второго языка искусственным билингвам. При этом обучение второму языку является хорошим инструментом в развитии эмоционального интеллекта, так как является одним из компонентов успешной коммуникации. Обсуждение результатов. Уровень эмоционального интеллекта в развитии билингвов является существенным фактором, который положительно влияет на развитие языковых способностей и академическую успеваемость в целом, стабильность психологического статуса, успешность в межличностных отношениях, а также способствует конструктивному формированию языковой личности.
Expression and Prognostic Significance of Ferroptosis-related Proteins
SLC7A11 and GPX4 in Renal Cell Carcinoma
Authors: Ren Zongtao , Zhang Xiaoyu , Han Jingya 
Published: October 2023

Background::
The ferroptosis inhibitory gene solute carrier family 7 member 11
(SLC7A11) and glutathione peroxidase 4 (GPX4) inhibit ferroptosis in carcinoma cells. However,
whether SLC7A11 and GPX4 serve as an oncogene in renal cell carcinoma (RCC) remains unclear.

Methods::
Immunohistochemistry (IHC) assays were performed to assess the expression of
SLC7A11 and GPX4 in human RCC tissues. Clinical-pathological analysis was performed to
explore the correlation between SLC7A11 and GPX4 expression. Kaplan-Meier survival analysis
was performed to characterise the associations between protein expression and patient progressionfree
survival (PFS).

Results::
The upregulation of SLC7A11 and GPX4 was detected by IHC in RCC tissues compared
with that in normal renal tissues. Meanwhile, the expression level of SLC7A11 and GPX4 was
correlated with tumour diameter and distant metastasis (P<0.05). Kaplan-Meier survival analysis
indicated that patients with high SLC7A11 and GPX4 expression levels exhibited worse PFS than
those with low SLC7A11 and GPX4 expression levels (P<0.05).

Conclusion::
The upregulation of SLC7A11 and GPX4 expression was associated with poor
prognosis in patients with RCC. SLC7A11 and GPX4 may serve as diagnostic and prognostic
biomarkers for patients with RCC.
Vegan Diet: A Novel Trend in Healthy Living
Authors: Kamei Gaithaongamliu , Rasane Prasad , Singh Jyoti , Kaur Sawinder , Gunjal Mahendra , Kaur Jaspreet , Gupta Raghav , Mahato Dipendra Kumar , Gurumayum Sushma , Dwivedi Sunil Kumar 
Published: October 2023

Abstract:
An entirely animal-free diet that prioritizes natural plant-origin foods such as vegetables,
fruits, whole grains, pulses, and lentils is known as a vegan diet. Lowering persistent diseases
like type-2 diabetes, cardiovascular conditions, cancer, and many others offers numerous positive
health effects. Different aspects of how a vegan diet affects health are studied, and the dietary
pattern is analyzed. Along with the trend of a vegan diet, many people have become aware of the
importance of following a vegan diet, and many do this for health reasons or due to religious beliefs.
A vegan diet has also been seen to positively affect aging. As vegan diet choices are growing,
there are now more options for meat and non-dairy alternatives. Optimization for developing
an alternative vegan food product is necessary to produce the most favorable product quality and
achieve the best. This paper indicates the vegan diet as a whole and how the vegan diet can help
treat chronic diseases. It also reviews vegan products for alternative use and their stance in the
food industry.
Network Pharmacology, Molecular Docking and Experimental Verification
Revealing the Mechanism of Fule Cream against Childhood Atopic
Dermatitis
Authors: Liu Chang , Liu Yuxin , Liu Yi , Guan Jing , Gao Ying , Ou Ling , Qi Yuenan , Lv Xiaoxi , Zhang Jianmin 
Published: October 2023

Background:
The Fule Cream (FLC) is an herbal formula widely used for the treatment
of pediatric atopic dermatitis (AD), however, the main active components and functional
mechanisms of FLC remain unclear. This study performed an initial exploration of the potential
acting mechanisms of FLC in childhood AD treatment through analyses of an AD mouse model
using network pharmacology, molecular docking technology, and RNA-seq analysis.

Materials and Methods:
The main bioactive ingredients and potential targets of FLC were collected
from the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) and
SwissTargetPrediction databases. An herb-compound-target network was built using Cytoscape
3.7.2. The disease targets of pediatric AD were searched in the DisGeNET, Therapeutic Target
Database (TTD), OMIM, DrugBank and GeneCards databases. The overlapping targets between
the active compounds and the disease were imported into the STRING database for the construction
of the protein-protein interaction (PPI) network. Gene Ontology (GO) enrichment and
Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of the intersection targets
were performed, and molecular docking verification of the core compounds and targets was
then performed using AutoDock Vina 1.1.2. The AD mouse model for experimental verification
was induced by MC903.

Results:
The herb-compound-target network included 415 nodes and 1990 edges. Quercetin,
luteolin, beta-sitosterol, wogonin, ursolic acid, apigenin, stigmasterol, kaempferol, sitogluside
and myricetin were key nodes. The targets with higher degree values were IL-4, IL-10, IL-1α,
IL-1β, TNFα, CXCL8, CCL2, CXCL10, CSF2, and IL-6. GO enrichment and KEGG analyses
illustrated that important biological functions involved response to extracellular stimulus, regulation
of cell adhesion and migration, inflammatory response, cellular response to cytokine
stimulus, and cytokine receptor binding. The signaling pathways in the FLC treatment of pediatric
AD mainly involve the PI3K-Akt signaling pathway, cytokine‒cytokine receptor interaction,
chemokine signaling pathway, TNF signaling pathway, and NF-κB signaling pathway. The
binding energy scores of the compounds and targets indicate a good binding activity. Luteolin,
quercetin, and kaempferol showed a strong binding activity with TNFα and IL-4.

Conclusion:
This study illustrates the main bioactive components and potential mechanisms of
FLC in the treatment of childhood AD, and provides a basis and reference for subsequent exploration.
Investigation on the Microbiological Quality and Fatty Acid Methyl Esters
Composition of Commercially Available Cold-pressed Nigella sativa L. Oil
Authors: Özçakmak Sibel , AlMatar Manaf , Var Işil. , Tekin Ali 
Published: October 2023

Background::
Nigella sativa is a traditional plant with several ethno-medicinal activities.
There have been several health advantages associated with Nigella sativa (Ns) L. oil, which has a
high concentration of bioactive compounds.

Method::
This research aimed to examine the fatty acid methyl ester profiles, microbiological profiles,
and aflatoxin profiles of cold-pressed Ns oils acquired from Turkish herbalists. For this, the
fatty acids methyl esters (FAMEs) content and microbiological purity of 10 different Ns oils were
examined.

Results::
The principal FAME components in Ns seed oils were linoleic (C18:2), oleic (C18:1), and
palmitic acid (C16:0), with relative percentages of 34.17-57.54%, 19.41-30.52%, and 7.05-12.54%,
respectively. The quantity of total saturated fatty acids (SFA) in all investigated oils ranged from
11.47 to 18.69%, while the amount of total unsaturated fatty acids ranged from 80.94 to 88.53%. Six
of ten products (0.35-1.49%) were found to contain cis-11 eicosenoic acid, a chemical unique to Ns
oil.

Conclusion::
Although no Aflatoxin was found in any of the samples, Enterobacteriaceae levels were
exceptionally low, and yeast mold concentrations surpassed the Turkish Food Codex's permissible
limit values.
A Critical Review on Various Buffer Layers used to Enhance the
Photovoltaic Performance of Organic Solar Cells
Authors: S. Sreejith , J. Ajayan , Reddy N.V. Uma , M. Manikandan , J.M. Radhika 
Published: October 2023

Abstract:
Due to the high need for sustainable energy sources, there has been a tremendous
increase in SC (solar cell) production and research in recent years. Despite the fact that inorganic
SC has led the SC consumer market due to its exceptional efficiency, its expensive and difficult
manufacture method makes it unaffordable. Hence alternative technology for SC has been explored by researchers to overcome the draw backs of inorganic SC fabrication. OSC (organic
solar cell) alternatively known as polymer SC has the advantage of having lightweight, low production cost, and simple device structure. During the last few years, significant attention has
been given in order to overcome the material and technological barriers in OSC devices to make
them commercially viable. Buffer layers play a significant part in improving the power conversion efficiencies in OSCs, thus it is necessary to comprehend the underlying microscopic mechanisms that underlie the advancements in order to support the current qualitative knowledge. In
this review article, we have studied extensively the impact of different BLs (buffer-layer) in
enhancing the PCE (power conversion efficiency) and absorption capabilities of OSCs.