bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of advance drainage borehole layout based on Visual Modflow
Authors: Li Yue , Zhang Yunpeng , Ma Yajie , Meng Fangang , Zhang Mingliang 
Published: May 2024

Abstract

It is an effective measure to prevent water damage in coal mine to construct drainage borehole in water-filled aquifer of working face roof. The hydrogeological parameters of the roof water-filled aquifer and the parameters of the drainage borehole are closely related to the underground drainage effect. Taking the 3085 working face of Donghuantuo Mine in Kailuan as an example, the influence degree of hydrogeological parameters and hydrophobic borehole parameters on the amount of drainage water was analyzed through the generalized grey correlation degree. Based on Visual Modflow, the 3D groundwater visualization model is established, and the dredging borehole is generalized into pumping borehole. By changing the main influencing factors, the design optimization of advanced hydrophobic borehole is discussed. The results show that the aquifer thickness has a great influence on the amount of water discharged, and the influence degree of the sharp angle between the formation and the direction of drilling, the depth of the final hole, the azimuth angle of drilling, the dip angle of drilling, the elevation of the final hole and the elevation of the borehole on the amount of water discharged decreases successively. Based on the simulation calculation, it can be observed that the hydrophobic borehole should be placed in the position with larger accumulated thickness of aquifer to have a better effect of hydrophobic depressurization.
EEG Signatures of Cognitive Decline after Mild SARS- CoV-2 Infection: An Age-Dependent Study
Authors: Sun Yike , Sun Jingnan , Chen Xiaogang , Wang Yijun , Gao Xiaorong 
Published: May 2024

Abstract

Background and Objectives:
Current research on the neurological impact of SARS-CoV-2 primarily focuses on the elderly or severely ill individuals. This study aims to explore the diverse neurological consequences of SARS-CoV-2 infection, with a particular focus on mildly affected children and adolescents.
Methods
A cohort study was conducted to collect pre- and post-infection resting-state EEG data from 185 participants and 181 structured questionnaires of long-term symptoms across four distinct age groups. The goal was to comprehensively evaluate the impact of SARS-CoV-2 infection on these different age demographics. The study analyzed EEG changes of SARS-CoV-2 by potential biomarkers across age groups using both spatial and temporal approaches.
Results
Spatial analysis indicated that children and adolescents exhibit smaller changes in brain network and microstate patterns post-infection, implying a milder cognitive impact. Sequential linear analyses showed that SARS-CoV-2 infection is associated with a marked rise in low-complexity, synchronized neural activity within low-frequency EEG bands. This is evidenced by a significant increase in Hjorth Activity within the theta band and Hjorth Mobility in the delta band. Sequential nonlinear analysis indicated a significant reduction in the Hurst exponent across all age groups, pointing to increased chaos and complexity within the cognitive system following infection. Furthermore, linear regression analysis based on questionnaires established a significant positive relationship between the magnitude of changes in these neural indicators and the persistence of long-term symptoms post-infection.
Discussion
The findings underscore the enduring neurological impacts of SARS-CoV-2 infection, marked by cognitive decline and increased EEG disarray. Although children and adolescents experienced milder effects, cognitive decline and heightened low-frequency electrical activity were evident. These observations might contribute to understanding potential anxiety, insomnia, and neurodevelopmental implications.
A Review on the Sediments Origin Using Geochemical Proxies and Petrographic Analysis in Cuddapah Basin
Authors: Bhat Mohd 
Published: May 2024

Abstract

Sedimentary rocks are the only source of information that exists physically to understand the geochemical evolution of Earth’s surface. Its crustal deformation and origination will help to understand the origin, tectonics, and palaeoweathering of clastic deposits. This study explores the same in the Cuddapah Basin (CB), Andhra Pradesh. The composition, provenance, origin, paleo-weathering, and tectonic setting of the basin are analysed using geochemical investigations, such as mineralogical, petrographical, major element, trace, and rare earth elements (REE), suggesting the importance of Nd isotopes as vital indicators of the provenance of sediments, especially in fine-grained sediments where petrography is inadequate. Differentiation between tectonic settings and origin, major elements, trace elements, and REE’s—including Light Rare Earth Elements (LREE) and Heavy Rare Earth Elements (LREE) is carried using predefined ratios, where elemental ratios like Th/Sc, Th/Co, and La/Sc possesses both the higher values (indicating a crustal source) and lower values (indicating a mantle origin). The results also possess a possible felsic provenance: LREE enrichment, a flat HREE pattern, and a negative Eu-Anomaly in the study area. Further, the observed depletion of CaO and Na2O in the study area indicates high weathering conditions over time. Discriminant diagrams plotted for Th/Sc Vs La/Sc, Th/Co Vs La/Sc, and Th/Cr Vs La/Cr confirm the materials' felsic origin even further. Thus, the study confirms that the Cuddapah Basin is situated in a Rift-Collisional tectonic setting during the evaluation of the tectonic environment.
Phytochemicals from Himalayan medicinal plant, Zanthoxylum armatum, DC, (Timur), have potentials to block CYP-17, 5α-reductase and human androgen receptors to treat polycystic ovarian syndrome
Authors: Joshi Suraj , Sharma Vinita , Bhandari Suman , Joshi Pramod , Mondal Shankar 
Published: May 2024

Abstract

Polycystic ovarian syndrome (PCOS) is primarily an endocrinological disorder responsible for anovulatory related infertility. PCOS is characterized by symptoms like hyperandrogenism, irregular menses and chronic metabolic syndromes. PCOS manifests due to overexpression of genes like CYP-17 [Cytochrome P-450 superfamily gene] along with 5α-reductase and human androgen receptors. Therapeutic drugs like metformin, spironolactone and cyproterone acetate are used to treat PCOS but it shows side effects. The Himalayan medicinal plant Zanthoxylum armatum, DC, [ZA]is traditionally used in Ayurveda for many illnesses like asthma, stomach-ache and menstrual disorders. In this study, a comparative screening were done for least binding energy (∆G) of phytochemicals for it potential to inhibit the target receptor (CYP-17, 5α-reductase and human androgen receptor) with the reference drug. PyRx and Biovia Discovery studio visualizer 2021softwares were used for virtual screening and analysis. The potential of toxicity ZA phytochemicals was also screen educing Swiss ADME software. Sixteen molecules of ZA have shown binding affinity with CYP-17, 5α-reductase and human androgen receptors. Phytochemical lupeol has shown the least binding energy [ΔG] -10.8kcal/mol with CYP-17, while hesperidin showed ΔG -12.2kcal/mol with 5α-reductase and Asarinin exhibitedΔG − 9.8kcal/mol with human androgen receptors. The drugs metformin, spironolactone and cyproterone acetate have shown ΔG ranging from − 5.0 to -11.2kcal/mol. Toxicity study showed that 12phytochemicals followed Lipinski’s rule of five. In summary, ZA phytochemicals have exhibited significant least binding energy as compared to current drugs. Thus, these phytochemicals may be used as potential lead drug molecules for target-specific in-vitro studies.
Framework for a structured evaluation process for therapeutic innovation
Authors: Mallol Elisenda Pomares , Segú Lluís , Solaguren Idoya Leguina , Catalán Arantxa , Diego Laura , Moreno Juan Oliva 
Published: May 2024

Abstract

Background The rate of incorporation of therapeutic innovation in the Spanish National Health System (NHS) is increasing. Its budget impact and time to access are concerns for stakeholders. The aim of this study is to define a structured framework for the evaluation of therapeutic innovations that aligns the expectations of public payers and the pharmaceutical industry.Methods The development of the evaluation involved five phases: identifying the key criteria based on a review of legal, regulatory and technical evidence; positioning the innovation according to the identified criteria through a questionnaire; constructing homogeneous archetypes of product-indication; and identifying and selecting strategies that align the interests of payers and the pharmaceutical industry.Results The key criteria identified in the Spanish setting include therapeutic need, incremental clinical benefit, budget impact, incremental cost-effectiveness ratio, and economic and effectiveness uncertainties. The evaluation questionnaire consisted of 7 descriptive questions and 36 evaluative questions, grouped into 9 areas of analysis. Five archetypes were defined that share similar barriers and access facilitators access, and non-exclusive strategies were proposed to reduce the identified barriers.Conclusions This framework helps to identify clinical development needs, facilitates the decision-making process and suggests appropriate reimbursement strategies. This process is most useful when there is an explicit definition of the application of decision criteria and the needs and priorities of the NHS.
Technology Use and Psychopathology among Early Adolescents in a Rural Context in Chile
Authors: Gaete Jorge , Crockett Marcelo A. , Pavez Isabel 
Published: May 2024

Abstract

Background: The association between technology and mental health problems among adolescents has been widely studied. However, little is known about this relationship in rural contexts, characterized by poverty, isolation, and low-income family environments. The objective of this study is to examine the relationship between experiences of online risks, dependence, cyberbullying, and parental mediation with mental health outcomes among students in grades 5 to 8 living in rural areas in Chile.
Methods: This cross-sectional study was conducted in a rural locality in the Metropolitan Region of Chile. Two hundred nineteen adolescents attending grades 5 to 8 from three state schools consented to participate. The participants answered questions regarding online risk experiences, cyberbullying, sleep routine, parental mediation, and the Strengths and Difficulties Questionnaire (SDQ) to assess mental health problems. For this purpose, SDQ subscales were used as dependent variables, and technology use variables, cyberbullying, sleep deprivation, and parental mediation were independent variables. Multiple regression models were conducted, using gender and age as control variables.
Results: We found that exposure to online risk experiences was common, reaching up to 56.7% (“Have played online with strangers”). Victimization of cyberbullying was 22.4%, and 1 in three students reported sleeping less than 8 hours at night. Emotional and hyperactivity/inattention problems were the most prevalent psychological problems in this population. Unsolicited violent content was associated with peer problems; victimization was associated with higher emotional problems and better prosocial behavior. Perpetration was associated with a higher prevalence of conduct problems and lower prosocial behavior. Not having time to do other activities because of the technology use was associated with emotional and hyperactivity/inattention problems. Sleep deprivation was associated with emotional and conduct problems, and active parental mediation was associated with a reduction in peer problems.
Conclusions: This is the first study in Chile exploring the association between technology use and psychopathology among early adolescents in a rural context. Our results accentuate the need for continuous research efforts and targeted interventions that aim to support healthy technology use and proactively address the risk of adverse mental health outcomes within this vulnerable population.
Research on the testing duration of reliability growth planning
Authors: Li Zhongsheng , Wei Yunpin 
Published: May 2024

Abstract

Reliability growth plans are typically described by using reliability growth planning models that generate growth planning curves. The PM2 model, also known as the planning model based on projection methodology, is a widely used growth planning model. The PM2 model can always meet the assigned reliability target during any reliability growth testing duration, regardless of changes in the management strategy parameter and/or the fixed effectiveness factor parameter. In fact, these two parameters determine whether reliability growth testing is successful or not and how long it takes. That is, the PM2 model currently in place needs to be modified accordingly. Firstly, a sensitivity analysis is carried out on the three parameters of the PM2 model, followed by a discussion on the correlation between the product of two process management parameters and the duration of testing. Then, a relationship equation for the testing duration is constructed using these two process management parameters. Finally, an extended model for planning reliability growth has been proposed. In addition, the proposed planning model is utilized to examine an illustrated example and a real case. The results have demonstrated that the model is reasonable and reliable, as the subjective input, testing duration, was removed from the reliability growth planning model.
Feeding frequency efficacy on biogas yield of oily substrate anaerobic digestion in continuous stir tank reactor
Authors: Rasit Nazaitulshila , Wan Ab Karim Ghani Wan Azlina , Che Harun Mohammad Hakim , Hamzah Sofiah , Seswoya Roslinda , Siddique Md Nurul Islam 
Published: May 2024

ABSTRACT

Anaerobic treatment of oily substrate, known as grease trap waste (GTW), was investigated for its practicability via continuous stirred tank reactor (CSTR) at different operating conditions and selected recovery strategies of feeding frequency efficacy. This study determine the performance of feeding frequency efficacy, namely feeding every 24 hours (R24H) and feeding every 12 hours (R12H). Under organic loading rate (OLR) of 2.2 gCOD/L.day, R12H exhibited methane composition of 57%, methane production rate of 0.27 LCH4/L.day, and methane yield of 0.14 LCH4/gCODremoved. At the same OLR, R24H recorded methane composition of 60%, methane production rate of 0.29 LCH4/L.day and similar methane yield as R12H. Findings indicated that R24H showed performance comparable to that of R12H. Given minor variation observed in performance, it is recommended that plant operators may consider scheduling two feedings per day for low loading conditions and switch to one feeding per day for higher loading conditions. This strategy is designed to balance the system and prevent shock loads, which could lead to plant shutdowns. This mechanism will induce their conversion to volatile fatty acids (VFAs); thus, reducing the risk of acid accumulation and pH drops, which could inhibit methanogens to produce methane, especially for oily substrate.
Determining the most appropriate stormwater management strategies within the development of urban landscape infrastructure using the TOPSIS method: applications to Rize city
Authors: Bekiryazici Fatih , Acar Cengiz 
Published: May 2024

ABSTRACT

In this study, the application of multi-criteria decision-making (MCDM) methods in determining the most appropriate stormwater management strategy is examined using different areas in Rize. The determination of the most appropriate stormwater management practices for the Rize coastal park and Güneysu-Rize connection highway with TOPSIS is presented in detail within this study. In this context, commonly used applications suitable for urban areas are discussed. The criteria and their weights used for the evaluation of the selected applications were determined by consulting expert opinions from leading researchers. The most suitable applications in different scenarios such as changes in the cost or the amount of precipitation for Rize coastal park and Güneysu-Rize connection road were determined by the TOPSIS method. The TOPSIS analyses’ ranking of the ideal solutions matches the results of the SWMM simulations one to one. SWMM results confirm that the outcomes of TOPSIS are the alternatives that provide maximum decrease in surface runoff.
Development and Assessment of a Prediction Model for Alzheimer's
Disease Diagnosis Based on Thermoregulation-Related Genes
Authors: Wu Yufu , Yang Jiali , Guo Linlin , Hao Dandan , Zhang Wan , Chen Hu , Pei Lin 
Published: May 2024

Background:
Alzheimer's disease (AD) is a prevalent neurodegenerative condition
among the elderly population and the most common form of dementia, however, we lack potent
interventions to arrest its inherent pathogenic vectors. Robust evidence indicates thermoregulatory perturbations during and before the onset of symptoms. Therefore, temperature-regulated
biomarkers may offer clues to therapeutic targets during the presymptomatic stage.

Objective:
The purpose of this study is to develop and assess a thermoregulation-related gene
prediction model for Alzheimer's Disease diagnosis.

Method:
This study aims to utilize microarray bioinformatic analysis to identify the potential
biomarkers of AD by analyzing four microarray datasets (GSE48350, GSE5281, GSE122063,
and GSE181279) of AD patients. Furthermore, thermoregulation-associated hub genes were
identified, and the expression patterns in the brain were explored. In addition, we explored the
infiltration of immune cells with thermoregulation-related hub genes. Diagnostic marker validation was then performed at the single-cell level. Finally, the prediction of targeted drugs was
performed based on the hub genes.

Results:
Through the analysis of four datasets pertaining to AD, a total of five genes associated
with temperature regulation were identified. Notably, CCK, CXCR4, SLC27A4, and SLC17A6
emerged as diagnostic markers indicative of AD-related brain injury. Furthermore, in the examination of peripheral blood samples from AD patients, SLC27A4 and CXCR4 were identified as
pivotal diagnostic indicators. Regrettably, animal experimentation was not pursued to validate
the data; rather, an assessment of temperature regulation-related genes was conducted. Future
investigations will be undertaken to establish the correlation between these genes and AD pathology.

Conclusion:
Overall, CCK, CXCR4, SLC27A4, and SLC17A6 can be considered pivotal biomarkers for diagnosing the pathogenesis and molecular functions of AD.
Evaluation of the Effect of Neurofeedback on Polysomnographic Changes and Improvement in the Life Quality of People with HIV with Sleep Disorders: A Clinical Trial Study
Authors: Salehi Maryam , Haghighi Khosro Sadeghniiat , Mohraz Minoo , Jafari Mahdi , Nosratabadi Masoud , Manshadi Seyed Ali Dehghan , Salehi Mohamad Reza 
Published: May 2024

Introduction
Sleep disorders are considered as one of the most common illnesses among people with HIV. Due to this, using neurofeedback devices to alter brain waves is implemented as a complementary therapy. The aim of this study was to evaluate the effectiveness of neurofeedback on changes in interrupted sleep, duration of sleep, restless legs syndrome, and improve the quality of life in people with HIV with sleep difficulties.

Methods
The current study is a clinical trial and applied type of research in which the pre-test and post-test of two interventional and placebo groups were compared. The statistical population of all patients referred to the HIV Research Center of Imam Khomeini Hospital Complex was selected randomly. In this respect, 15 volunteer patients (9 volunteers in the treatment group and 6 volunteers in the placebo group) were chosen and placed into groups via random sampling. In addition, the Pittsburg Sleep Quality Index (PSQI) was used for the evaluation of sleep quality. Data were analyzed after statistical analysis through standard tests.

Results
The results of this study showed that neurofeedback was able to cause significant changes in reducing stress levels. This treatment was able to improve the quality of life indicators in participants. Also, there were changes in polysomnographic data; however, they were not significant.

Conclusion
Based on these data, Neurofeedback therapy could be considered a complementary therapy to improve sleep disorders in people with HIV.Moreover, this treatment was able to improve the quality of life and stress indicators in these patients by improving brain waves.

Clinical Trial Registration No
IR.TUMS.VCR.REC.1398.998.
The Association Between Personality Traits and Health-Related Quality of Life and the Mediating Role of Smoking: Nationwide Cross-Sectional Study
Authors: Chen Jiangyun , Wan Jiahuan , Wu Yibo , Gan Li , Li Haomiao , Zhou Yan , Liu Siyuan , Luo Lan , Zhou Haozheng , Yin Xuanhao , Chang Jinghui 
Published: May 2024

Abstract

Background
There are positive and negative correlations in different directions between smoking, personality traits, and health-related quality of life (HRQOL), where smoking may mask the pathway between personality traits and HRQOL. Understanding the masking pathway of smoking between personality traits and HRQOL can elucidate the mechanisms of smoking’s psychosocial effects and provide new ideas for developing tobacco control strategies.

Objective
The purpose of this study was to investigate the correlation between Big Five personality traits and HRQOL and whether smoking mediates the relationship between them.

Methods
This was a cross-sectional study using data from 21,916 respondents from the 2022 Psychology and Behavior Investigation of Chinese Residents survey. Linear regression models were used to analyze the correlations between smoking, Big Five personality traits, and HRQOL while controlling for potential confounders. The mediating role of smoking on the association between Big Five Personality traits and HRQOL was analyzed using the Sobel-Goodman mediation test.

Results
Extraversion (β=.001; P=.04), agreeableness (β=.003; P<.001), and neuroticism (β=.003; P<.001) were positively correlated with HRQOL, whereas openness was negatively correlated with HRQOL (β=–.001; P=.003). Smoking was associated with a decrease in HRQOL and mediated the positive effect of HRQOL on extraversion (z=−2.482; P=.004), agreeableness (z=−2.264; P=.02), and neuroticism (z=−3.230; P=.001). Subgroup analyses further showed that smoking mediated the effect of neuroticism on HRQOL in the population with chronic illnesses (z=−2.724; P=.006), and in the population without chronic illnesses, smoking contributed to the effect of HRQOL on extraversion (z=−2.299; P=.02), agreeableness (z=−2.382; P=.02), and neuroticism (z=−2.213; P=.03).

Conclusions
This study provided evidence that there is a correlation between personality traits and HRQOL. It also found that smoking plays a role in mediating the connection between personality traits and HRQOL. The development of future tobacco control strategies should consider the unique traits of each individual’s personality, highlighting the significance of extraversion, agreeableness, and neuroticism.