bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differential analysis of ovarian tissue between high and low laying Hens in the late laying stage and the effect of LECT2 gene on follicular Granulosa Cells proliferation
Authors: Chen Lin , Li Xianqiang , Wu Yan , wang jiaxiang , Pi Jinsong 
Published: September 2023

Abstract
The ovaries of high-yield laying hens exhibited signs of aging beyond 400 days of age, subsequently resulting in a decline in both egg production and egg quality. Oxidative stress, characterized by an increase in the production of reactive oxygen species (ROS), stands as one of the principal processes contributing to ovarian aging. Elevated ROS levels are implicated in the induction of apoptosis in granulosa cells (GCs), provoking mitochondrial impairment, and diminishing the capacity of the antioxidant defense system. This investigation stratified laying hens into two distinct groups, predicated upon their egg production levels: high-yield hens (HH) and low-yield hens (LL). The study focused on evaluating oxidative stress markers and identifying differentially expressed genes between these two groups. The findings revealed that the low-yield group exhibited follicular atresia, mitochondrial disruptions, and apoptotic occurrences in ovarian GCs. Notably, ROS levels, Malondialdehyde (MDA) concentrations, and 8-hydroxy-2'-deoxyguanosine (8-OHdG) concentrations in ovarian tissue and follicular GCs were substantially higher in the HH group. Furthermore, the RNA-sequencing results unveiled differential expression of the LECT2 gene between the HH and LL groups. Consequently, an overexpression vector for the LECT2 gene was successfully constructed and introduced into GCs. The quantitative polymerase chain reaction (QPCR) analysis exhibited significant downregulation (p < 0.01) of key apoptotic genes such as Caspase-3 and C-myc and significant upregulation (p < 0.01) of BCL2 following the overexpression of the LECT2 gene in GCs. In conclusion, oxidative stress emerges as a pivotal factor influencing the laying traits of both high and low-yield laying hens. The accumulation of reactive oxygen species (ROS) within the ovaries precipitates apoptosis in GCs, subsequently leading to follicular atresia and a reduction in egg production. Additionally, the LECT2 gene assumes a critical role in promoting the proliferation and differentiation of follicular GCs, thus playing a significant role in the regulation of follicular development.
PLEK2 promotes lung adenocarcinoma progression via activating the PI3K/AKT signaling pathway through SPC25 Running title: PLEK2 promotes LUAD via SPC25/PI3K/AKT axis
Authors: Zhang Wenqian , Yu Lei , Xu Cong , Tang Tian , Cao Jianguang , Chen Lei , Pang Xinya , Ren Weihao 
Published: September 2023

Abstract
Lung adenocarcinoma (LUAD) is the most common form of NSCLC with poor outcomes and late diagnosis. Previous studies have demonstrated the abnormal expression and promoting role of Pleckstrin-2 (PLEK2) in several tumor types including LUAD, the molecular mechanism of PLEK2 to LUAD progression has not been elucidated clearly. In this study, the expression of PLEK2 in LUAD was analyzed using public available the Cancer Genome Atlas (TCGA) database and further confirmed in human tissue specimens. PLEK2-silencing LUAD cell models were subsequently constructed for examining the function of PLEK2 at in vitro and in vivo level. Our results showed that PLEK2 was highly expressed in LUAD, and this high level of expression was correlated with poor patients’ prognosis. PLEK2 knockdown led to a significant suppression of proliferation and migration of LUAD cells, whereas enhanced apoptosis. Moreover, tumor growth in mice injected with PLEK2-silencing LUAD cells was also impaired. The gene-expression profiling and Co-IP assays suggested that PLEK2 could directly interact with SPC25. Downregulation of SPC25 also impaired the cell proliferation and migration abilities. Additionally, we revealed that the activation of phosphoinositide 3-kinase (PI3K)/AKT signaling was required for PLEK2-induced malignant phenotypes of LUAD cells. PLEK2 exerted a promoting role in LUAD, and might be prognostic indicator and therapeutic target for LUAD patient.
Facile one-pot synthesis of hydroxylated 1,3-dithiane-pyrazolone hybrids
Authors: Rabiei Maedeh , Nasiri Farough 
Published: September 2023

Abstract
This study presents an effective one-pot strategy for the synthesis of hydroxylated 1,3-dithiane-pyrazolone hybrids. The process involves a reaction between pyrazolone derivatives and carbon disulfide in the presence of epichlorohydrin (ECH). The structural elucidation of the products was accomplished using various spectroscopic techniques. To further corroborate the proposed reaction mechanism, enantiomerically pure ECH was utilized.
Heart rate variability and the short form-8 Japanese version for health-related quality of life in the general Japanese population
Authors: Saito Isao , Maruyama Koutatsu , Yamauchi Kanako , Funakoshi Yayoi , Kato Tadahiro , Kawamura Ryoichi , Takata Yasunori , Osawa Haruhiko 
Published: September 2023

Abstract
Self-rated health predicts mortality. Autonomic dysfunction is thought to be a relevant biological mechanism but has not been investigated in the general population. A cross-sectional study was conducted on 5,908 Japanese men and women aged 30-79 years old. As an autonomic function, heart rate variability (HRV) was assessed using five minute-recordings of pulse waves with a fingertip sensor, and the time and frequency domains of HRV were determined. Health-rated quality of life (HRQOL) was assessed by using the Short Form-8 Japanese version, and poor HRQOL was defined as <50 scores of sub-scales. A test for nonlinear trends was performed in the generalized additive model with the smoothing spline adjusted for confounders. The impact on poor physical component score increased in those who had lower levels of the standard deviation of normal-to-normal intervals (SDNN) and the root mean square of successive difference (RMSSD), and the high frequency (HF) power and tended slightly upward in the higher levels as well. HRV parameters were nonlinearly associated with poor physical component. Reduced SDNN, RMSSD, and HF, which reflect parasympathetic modulations, were associated with poor HRQOL in the domain of physical function. Also, higher levels of these did not necessarily translate into better HRQOL.
Finite Element Analysis of a Three-Dimensional Cervical Spine Model with Muscles Based on CT Scan Data and Exploration of the Influence of Muscle Tissue
Authors: Li Zhi , Zhang Bing , Han Ying , Pei Shize , Song Guangfei 
Published: September 2023

Abstract
Muscle tissue is one of the important tissues in the neck, mainly playing a role in supporting and stabilizing the body. Cervical muscle lesions are one of the causes of cervical spondylosis. A new method of establishing a finite element model of the cervical spine was proposed. The muscle tissue was reconstructed by referencing the structure of a medical human body model, and a 3-D full cervical spine finite element model with muscle tissues was established by transferring CT scan data and combining the muscle tissue thus obtained. This full cervical spine model was then validated for its effectiveness and reasonable explanations were provided for the validation results. The effectiveness of the model was basically validated. In the six movements of the cervical spine, the vertebrae were mainly stressed at C1-C3, and the intervertebral discs were mainly stressed at C2/3/4/5. The muscles with the highest stress were the splenius cervicis, rectus capitis posterior major, and longus collis. These areas are more prone to lesions in daily life.
Cohomology of twisted symmetric powers of cotangent bundles of smooth complete intersections
Authors: Etesse Antoine Frédéric Adrien 
Published: September 2023

Abstract
In this paper, we first generalize the Euler exact sequence, allowing to obtain an explicit and tractable description of cohomology groups of twisted symmetric powers of cotangent bundles of projective spaces. Then, via the construction of a particular rank 2 vector bundle on the projectivized tangent bundle P(TPN), we obtain a resolution of the structural sheaf OP(TX) of the projectivized tangent bundle of a smooth complete intersection X ​​​​​⊂ PN. Combining these two facts, we obtain explicit descriptions of cohomology groups of twisted symmetric powers of cotangent bundles of smooth complete intersections, which, in some particular cases, are simple enough to be fully understood. As a first application, we prove a non-vanishing theorem, which shows that the classic vanishing theorem of Bruckmann--Rackvitz is optimal. As a second application, we study explicitly the algebra\[\bigoplus_{m \in \N} H^{0}(X, S^{m}\Omega_{X}(m)),\]where X is a smooth complete intersection whose dimension is greater than its codimension.
The effects of disability grant termination on the livelihoods of rural women aged between 25-30 living with HIV. A case of Wellness Clinic at Vhembe District in Limpopo
Authors: Mhangwani Chrisen E 
Published: September 2023

Abstract

Orientation-The termination of the disability grants has been identified as one of the determinants to non-adherence to Anti-Retroviral Treatment (ART) by rural women living with HIV aged between 25-30 attending a Wellness Clinic in Vhembe District. The study has established that once the disability grant is terminated upon improved health outcomes as a result from adhering adequately to ART, the livelihoods of rural women living with HIV are adversely interrupted.
Research purpose -. The paper sought to explore and examine the effects of disability grant termination on the livelihoods of rural women living with HIV aged between 25-30 attending a Wellness Clinic in Vhembe District
Research Approach - The paper adopted a qualitative approach and individual in-depth semi-structured interviews as a data collection technique. A purposive sampling technique was utilised to draw a sample of 20 rural women living with HIV attending a Wellness Clinic in Vhembe District who were enrolled on ART and whose disability grants were terminated or facing termination upon their improved health outcomes. The purpose was to elicit the participants’ views on their experiences on how the termination of the disability grant interferes with their livelihoods towards adhering effectively to ART.
Main findings - The findings revealed that the termination of the disability grant for rural women living with HIV has adverse implications on their adherence to ART as these women depend solely on this grant. The knowledge of how the disability grant is granted and how it is terminated, provides incentive for suboptimal adherence to ART.
Policy implications – Economic incentives for rural women living with HIV with little or no education has proven to contribute to optimal adherence to ART. However, the manner in which these economic incentives are provided for is a cause for concern in areas where employment opportunities are scarce. Therefore, policy makers should consider the poverty trends that are immanent in the rural settings of South Africa and its contribution to HIV infection. Also, the government should devise policies that consider the aftermath of the disability grant termination for households that live in abject poverty and living with HIV.
Can incorporating genotyping data into efficacy estimators improve efficiency of early phase malaria vaccine trials?
Authors: Potter Gail E. , Callier Viviane , Shrestha Biraj , Joshi Sudhaunshu , Dwivedi Ankit , Silva Joana C. , Laurens Matthew B. , Follmann Dean A. , Deye Gregory A. 
Published: September 2023

Abstract
Background
Early phase malaria vaccine field trials typically measure malaria infection by PCR or thick blood smear microscopy performed on serially sampled blood. Vaccine efficacy (VE) is the proportion reduction in an endpoint due to vaccination and is often calculated as VEHR =1 – hazard ratio or VERR = 1 – risk ratio. Genotyping information can distinguish different clones and distinguish multiple infections over time, potentially increasing statistical power. This paper investigates two alternative VE endpoints incorporating genotyping information: VEmolFOI, the vaccine-induced proportion reduction in incidence of new clones acquired over time, and VEC, the vaccine-induced proportion reduction in mean number of infecting clones per exposure.
Methods
We used simulations and analytic derivations to compare power of these methods to VEHR and VERR and applied them to three data sets: a Phase 3 trial of RTS,S malaria vaccine in 6912 African infants, a Phase 2 trial of PfSPZ Vaccine in 80 Burkina Faso adults, and a trial comparing Plasmodium vivax incidence in 466 Papua New Guinean children after receiving chloroquine + artemether lumefantrine with or without primaquine (as these VE methods can also quantify effects of other prevention measures). By destroying hibernating liver-stage P. vivax, primaquine reduces subsequent reactivations after treatment completion.
Results
The RTS,S vaccine significantly reduced the number of clones at first infection, but PfSPZ vaccine and primaquine did not. Resampling smaller data sets from the large RTS,S trial to simulate phase 2 trials showed modest power gains from VEC compared to VEHR for data like RTS,S, but VEC is less powerful than VEHR for vaccines which do not reduce the number of clones at first infection. VEmolFOI was most powerful in model-based simulations, but only the primaquine trial collected enough serial samples to precisely estimate VEmolFOI. The primaquine VEmolFOI estimate decreased after most control arm liver-stage infections reactivated (which mathematically resembles a waning vaccine), preventing VEmolFOI from improving power.
Conclusions
The power gain from the genotyping methods depends on the context. Because input parameters for early phase power calculations are often uncertain, we recommend against these estimators as primary endpoints for small trials unless supported by targeted data analysis.
Trial registrations:
NCT00866619, NCT02663700, NCT02143934
Role of Political Cynicism as a Determining Factor in the Political Apathy of Citizens in Pakistan
Authors: Rehman Aziz Ur 
Published: September 2023

AbstractPolitical Apathy has been an essential issue in the present democratic process across the world. It has been working as cancer that is eating away all the fruits of the last three hundred years struggle for strengthening democracy around the globe. The author applied the survey approach for gathering the primary data from the respondents through the stratified sample. This article explores the role of political cynicism as a determining factor in political apathy in Pakistan. The current study aim to highlight the issue in the current perspective of Pakistan.
Employee wellness programmes and productivity in the Workplace: The case of the Gauteng Department of Education
Authors: Malindini Kholiswa 
Published: September 2023

Abstract
Orientation - Employee absenteeism has been identified as one of the reasons for the rising health costs for employers. Consequently, employers have acted proactively by sponsoring employee wellness programmes to curb the costs. Theoretically, health promotion programmes tend to reduce absenteeism, stimulate positivity, and enhance productivity.
Research purpose - This paper sought to examine the perceptions of the Gauteng Department of Education employees towards the health promotion programme in averting ill-health absenteeism behaviour.
Research Approach - The paper adopted a qualitative approach and a survey questionnaire as a data collection technique. A purposive sampling technique was utilised to draw a sample of forty employees from the Gauteng Department of Education (GDE) Head offices. The purpose was to elicit participants’ perceptions and experiences concerning the utilisation of the services offered by the GDE health promotion programme.
Main findings - The findings revealed that although the programme is effective to some degree, there are still implementation issues that need to be addressed. Moreover, ethics around the operations of the programme are crucial, and capacity building is necessary for the programme implementors.
Policy implications – Health promotion programmes are key to curbing absenteeism and stimulating productivity; however, implementation and awareness must be improved.
Indoor Microplastics: A Comprehensive Review and Bibliometric Analysis
Authors: BHAT MANSOOR AHMAD 
Published: September 2023

Abstract
The global scale of concern regarding indoor microplastic (MP) pollution is increasing and considering the amount of time people spend indoors. Indoor MP contamination can directly affect the human population through indoor dust and air exposure. This review summarized recent research progress on pretreatments, quality control, filter membranes, identification, keywords used, publication record, and authors' contribution. Comparatively, dust and deposition samples exhibit higher MPs concentrations than indoor air samples. Fiber-shaped MPs are commonly detected indoors, although fragments and films are also present. The color and types of MPs display variability, with polypropylene, polyethylene, polyethylene terephthalate, and polystyrene identified as the dominant MPs. Indoor environments generally demonstrate higher concentrations of MPs than outdoor environments, and MPs in the lower size range (1–100 µm) are typically more abundant. Among the reviewed articles, 45.24% conducted pretreatment on their samples, while 16.67% did not undergo any pretreatment. The predominant filter utilized in most studies was the Whatman Glass microfiber filter (41.67%), and MPs were predominantly characterized using µ-FTIR (19.23%). Within the examined literature, 17 articles incorporated blank samples into their research, while 8 articles did not include blank samples. Notably, most studies (23) did not integrate blank results into their samples. A significant increase in published articles has been observed since 2020, with an annual growth rate exceeding 10%. Bibliometric analysis of the literature review identified 35 authors who have contributed relevant material on indoor MPs. The keyword microplastics had the highest frequency, followed by fibers.
Comparison of the performances of the gene expression programming model and the RegCM model in predicting monthly runoff
Authors: Pouyanfar Sajjad , Nozari Hamed , Khodamorad Pour Mehraneh 
Published: September 2023

Abstract

Prediction of rainfall and runoff is one of the most important issues in managing catchment water resources and sustainable use of water resources. In this study, the accuracy and efficiency of the Gene Expression Programming (GEP) model and the Regional Climate Model (RegCM) to predict runoff values from monthly precipitation were investigated. For this purpose, monthly precipitation data of 48 synoptic stations, monthly temperature data of 21 synoptic stations, and also monthly runoff data of 40 hydrometric stations located in the Karkheh basin during 45 years (1972–2017) were used. Out of this statistical period, 40 years was used for calibration, and five years (1995–1999) for the validation of the model results. The results showed that the GEP model with an average R2 value of 0.948, average RMSE value of 19.4 m3/s, average NSE value of 0.91, and average SE value of 0.3, had a much more accurate performance than the RegCM model, which had an average R2 value of 0.04, average RMSE value of 298.2 m3/s, average NSE value of −0.64, and average SE value of 4.6 in predicting monthly runoff.
Temporal and spatial variations of disinfection by-products in South Taihu's drinking water, Zhejiang Province, China
Authors: Liu Tao , Zhang Min , Wen Dong , Fu Yun , Yao Jianhua , Shao Guojian , Peng Zhang 
Published: September 2023

Abstract

Some disinfection by-products (DBPs) in drinking water present a potential safety concern. This study focuses on the elements influencing DBPs formation. A total of 120 water samples were collected from 10 different drinking water facilities spanning 5 counties within Huzhou, Zhejiang Province, China. Concentrations of trihalomethanes (THMs) and haloacetic acids (HAAs) were observed to be 14.5 and 27.4 μg/L, respectively, constituting 34 and 64% of the total DBPs. Seasonal fluctuations demonstrated that HAAs, THMs, halonitromethanes (HNMs), and haloacetonitriles (HANs) followed a similar pattern with higher levels in summer or autumn compared to spring. Importantly, the concentrations of HAAs and THMs were markedly higher in Taihu-sourced water compared to other sources. Geographically, Nanxun exhibited the highest levels of total DBPs, HAAs, and THMs, while Deqing and Changxing demonstrated significantly lower levels. Correlation studies between water quality parameters and DBPs revealed that factors such as chloride content, temperature, and residual chlorine positively influenced DBPs formation, whereas turbidity negatively affected it. Principal component analysis suggested similar formation processes for HANs, haloketones (HKs), HNMs, and THMs. Factors such as temperature, chemical oxygen demand (COD), and residual chlorine were identified as significant contributors to the prevalence of HAAs.
Research progress of the artificial intelligence application in wastewater treatment during 2012–2022: a bibliometric analysis
Authors: Yu Xiaoman , Chen Shuai , Zhang Xiaojiao , Wu Hongcheng , Guo Yaoguang , Guan Jie 
Published: September 2023

Abstract

This study identified literatures from the Web of Science Core Collection on the application of artificial intelligence in wastewater treatment from 2011 to 2022, through bibliometrics, to summarize achievements and capture the scientific and technological progress. The number of papers published is on the rise, and especially, the number of papers issued after 2018 has increased sharply, with China contributing the most in this regard, followed by the US, Iran and India. The University of Tehran has the largest number of papers, WATER is the most published journal, and Nasr M has the largest number of articles. Collaborative network has been developed mainly through cooperation between European countries, China and the US. Remote sensing in developing countries needs to be further integrated with water quality monitoring programs. It is worth noting that artificial neural network is a research hotspot in recent years. Through keyword clustering analysis, 'machine learning' and 'deep learning' are hot keywords that have emerged since 2019. The use of neural networks for predicting the effectiveness of treatment of difficult to degrade wastewater is a future research trend. The rapid advancement of deep learning provides the opportunity to build automated pipeline defect detection systems through image recognition.