bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Social Network Detection Method Based on Graph Network Embedding
Authors: Xiao Zhiguo , Zhao Nan , Li Nianfeng , Li Changgen , Wang Ke , Shen Qi , Zhou Yangfan 
Published: January 2024

Abstract
The exponential growth of social network information has a certain degree of falsehood, which seriously affects people’s judgment and decision-making and even leads to adverse consequences such as social unrest. In the research on intelligent detection of rumors, existing studies have overlooked the coupling relationship between nodes during the spread of rumors. Therefore, we propose a network comment relationship graph modeling method for social networks, which characterizes the interaction patterns and information dissemination mechanisms of social networks; A hybrid of graph convolutional neural network and graph multi-head attention mechanism is used to extract high-level semantic relationships between nodes during rumor propagation through bidirectional embedding expression, which can better perform feature extraction and graph network embedding in the comment relationship graph of rumor propagation. Based on the coupling characteristics of node similarity, importance, correlation, etc., a rumor detection model was designed through bidirectional feature fusion to improve the accuracy of rumor detection. The experimental results show that the model can better detect rumors on social networks. In comparison with the four benchmark models, the proposed model achieves an accuracy of 96.6% on the Weibo dataset, 85.5% on the Twitter15 datasets, and 91.8% on the Twitter16 datasets. The accuracy of the Weibo datasets and Twitter 16 datasets is higher than the benchmark model.
The transcription of TCOF1 , the main gene associated with Treacher-Collins syndrome, is regulated by G-quadruplexes and Cellular Nucleic acid Binding Protein (CNBP)
Authors: Rosas Mauco Gil , Centola Cielo , Mouguelar Valeria , David Aldana , Piga Ernesto , Gomez Dennis , Calcaterra Nora , Armas Pablo , Coux Gabriela 
Published: January 2024

Abstract
Treacle ribosome biogenesis factor 1 (TCOF1) is responsible for about 80% of mandibular dysostosis (MD) cases. We have formerly identified a correlation between TCOF1 and CNBP (CCHC-type zinc finger nucleic acid binding protein) expression in human mesenchymal cells. Given the established role of CNBP in gene regulation during rostral development, we explored the potential for CNBP to modulate TCOF1 transcription. Computational analysis for CNBP binding sites (CNBP-BSs) in the TCOF1 promoter revealed several putative binding sites, two of which (Hs791 and Hs2160) overlap with putative G-quadruplex (G4) sequences (PQSs). We validated the folding of these PQSs measuring circular dichroism and fluorescence of appropriate synthetic oligonucleotides. In vitro studies confirmed binding of purified CNBP to the target PQSs (both folded as G4 and unfolded) with Kd values in the nM range. ChIP assays conducted in HeLa cells chromatin detected the CNBP binding to TCOF1 promoter. Transient transfections of HEK293 cells revealed that Hs2160 cloned upstream SV40 promoter increased transcription of downstream firefly luciferase reporter gene. We also detected a CNBP-BS and PQS (Dr2393) in the zebrafish TCOF1 orthologue promoter (nolc1). Disrupting this G4 in zebrafish embryos by microinjecting DNA antisense oligonucleotides complementary to Dr2393 reduced the transcription of nolc1 and recapitulated the craniofacial anomalies characteristic of Treacher Collins Syndrome. Both cnbp overexpression and Morpholino-mediated knockdown in zebrafish induced nolc1 transcription. These results suggest that CNBP modulates the transcriptional expression of TCOF1 through a mechanism involving G-quadruplex folding/unfolding, and that this regulation is active in vertebrates as distantly related as bony fish and humans. These findings may have implications for understanding and treating MD.
Comparison of the relative telomere length in the skin, muscle, and spinal cord of the crested gecko (Correlophus ciliatus)
Authors: Pacoń Jakub , Cholewińska Paulina , Wojnarowski Konrad , Kruszyński Wojciech , Wołoszyńska Magdalena 
Published: January 2024

Abstract
Studies to date have shown that the length of telomere, which changes with the age of an animal, can vary depending on the tissues tested, even within a single organism. Additionally, their length can be influenced by both environmental and genetic factors. The aim of this study was to determine the relative length of the telomeres in the muscle, skin and spinal cord derived from the tail of Correlophus ciliatus. The analysis was performed by real-time quantitative PCR (qPCR) using DNA isolated from the appropriate tissues of seven animals as a template. tail rejection. Statistical analysis of the combined results obtained for all subjects showed significant differences in the relative telomere length between muscle, skin, and spinal cord (P > 0.01). In addition, an individual analysis was performed for all subjects, which showed that only in some subjects the muscle and skin telomere lengths differ significantly, while the muscle and spinal cord telomere lengths are always statistically different (P > 0.01). The obtained results may be related to the different activity of telomerase in individual tissues and the fragmentary regrowth of the tail in the form of the so-called stump. There is then a slight increase in muscle mass and skin at the site of the thrown tail, but the spinal cord is not restored. However, no direct influence of growth parameters on the length of the studied telomeres was demonstrated.
Global Texture Sensitive Convolutional Transformer for Medical Image Steganalysis
Authors: Zhou Zhengyuan , Chen Kai , Hu Dianlin , Shu Huazhong , Coatrieux Gouenou , Coatrieux Jean Louis , Chen Yang 
Published: January 2024

Abstract

The use of medical images by hackers or illegal organizations as a vehicle for information leakage refers to steganography. Exchanged between PACS or communicated during telemedicine sessions, images are modified to hide data. Such leaks through stego-images may result in the disclosure of doctors' or patients' personal data, or of sensitive hospital data posing thus major risks in terms of privacy and security of the information system. In this paper, to detect these illegal image-based communications, we propose a steganalysis approach, the originality of which relies on a novel neural network GTSCT-Net. This one first extracts texture features as global texture features based on location specificity of different parts in image and then extracts possible steganographic information by composing mutlihead self-attention and deep convolution blocks. It also offers easier convergence and higher accuracy on a lower information embedding rate. Comparative experiments on private and public datasets show that the performance of GTSCT-Net for medical image intrusion detection is separately up to 10.12% and 2.97% better than recent advanced steganography detectors.
Normal and Late Sowlng Effect on Yield and Yield Related Traits in Wheat
Authors: Wahid Muhammad Atif 
Published: January 2024

Abstract
The Agriculture sector continues to play a central role in Pakistan's economy. It is the second largest sector, accounting for over 21% of GDP, and remains by far the largest employer, absorbing 45% of the country's total labor force. Nearly 62% of the country's population resides in rural areas, and is directly or indirectly linked with agriculture for their livelihood (Economic Survey of Pakistan, 2009-10). While on the one hand, the sector is a primary supplier of raw materials to downstream industry, contributing substantially to Pakistan's exports and on the other hand, it is a large market for industrial products such as fertilizer, pesticides, tractors and agricultural implements.
Wheat is cold loving plant and it germinates at low temperatures. The temperature requirements of the different growth phases of wheat plant are different. Seed germination occurs at low temperatures whereas booting and seed setting requires optimal temperature. During grain filling the rising temperatures is 26 to 30 °C, above this limit plant photosynthetic efficiency is disturbed which eventually affects proper grain filling and development.
Diosmin inhibits neuroinflammation and improves cognitive deficit in lipopolysaccharide-mouse model of Alzheimer’s disease
Authors: ADEOLUWA Olusegun Adebayo , ADENIYI Funmilayo Racheal , ADEOLUWA Gladys Onyinye , OTOMEWO Lily Oghenevovwero 
Published: January 2024

Abstract
Background: Neuroinflammation has been linked to some central alterations such as cognitive and memory impairment which are prominent features of many neurodegenerative disorders such as Alzheimer’s disease, Parkinson’s disease etc. This study explored the cognitive-enhancing properties of a flavonoid, diosmin, on lipopolysaccharide-induced cognitive impairment in mice.
Methodology: Twenty-eight mice were divided into four groups. These groups were scheduled to receive either vehicle or any of the two doses of diosmin. Groups 2-4 were treated with lipopolysaccharide (LPS; 250 µg/kg, i.p.) daily for seven days. Afterwards, all mice were subjected to the Y-maze test and the novel object recognition test (NORT) to assess their spatial and non-spatial working memory, respectively. Subsequently, the mice were sacrificed and brain samples were harvested for biochemical analysis. The data was analysed using one way analysis of variance (ANOVA) and a post hoc test. The level of significance was set at p<0.05.
Results: Our data shows that diosmin significantly reversed the LPS-induced neuroinflammation by reducing proinflammatory mediators in the brain and subsequently improving mice memory.
Conclusion: Diosmin possesses properties that could be beneficial in symptom management in such inflammation-related disorders.
Development and Validation of Group Intervention Module for Intimate Partner Violence
Authors: Chinnadurai  , Sinu  
Published: January 2024

Abstract

BACKGROUND: Group intervention is highly effective for survivors of IPV. There are fewer interventions available in addiction treatment services and intimate partner violence in the Indian context. The study aimed to develop and validate the group intervention module for women survivors of IPV.
METHODS: The group intervention manual was developed through psychosocial need assessments for intimate partner violence, subject experts' opinions, and expert validation through the content validation index and kappa value. The components of the group intervention manual were developed for women survivors of IPV who were seeking treatment for their husbands’ alcohol dependence at inpatient services, Centre for Addiction Medicine, Tertiary care teaching hospital, Bangalore.
RESULTS: The intervention components included sharing about the experience of intimate partner violence, understanding the impact of IPV, psychoeducation regarding alcohol dependence and treatment process, imparting the social skills, safety plans, and self-care for the survivors and their children, crisis intervention, and resource mapping. The delivery of the group intervention module was refined based on pilot testing with ten participants.
CONCLUSION: The group intervention module was designed and tailored to the wives of alcohol dependents who have experienced IPV.
Collective excitations of Bose-Einstein Condensate in a Rydberg Atom
Authors: Banerjee Avra , Majumder Dwipesh 
Published: January 2024

Abstract

In this work, we investigated a Bose-Einstein condensate (BEC) inside a Rydberg atom. We first observed the system’s density profile using the Gross-Pitaevskii equation, and then we used the Bogoliubov theory to examine the collective excitation spectra. We have also extended our study by taking into account a hybrid of two BEC species. Again, for this new system, the density profile and the collective excitation are investigated in a similar manner. The results of the BEC for one species reveal that the Rydberg atom can trap the BEC and that the excitation curve moves upward with increasing Rydberg atom interaction. We have seen roton minima for two species of BEC, and the depth of the minima shifts with the Rydberg interaction.
Immune cells and Alzheimer's disease: a bidirectional two-sample Mendelian randomization study
Authors: Zhang Jian , Zhang Yueling , Wang Hao , Huang Zhilin , Xie Shuyu , Fan Dongmei , Chen Yiyun , Zhong Chongxu , Chen Liufei , Kong Deyan , Shi Shengliang 
Published: January 2024

Abstract

Immune cells play a crucial role in the pathogenesis of Alzheimer's disease (AD). Although the relationship between immune cells and AD is uncertain, it is clinically important, as immune cells could be targets for therapy. The current study aimed to systematically explore the bidirectional relationship between immune cells and AD. Genetic instruments for AD and 731 immune cell traits were derived from large-scale genome-wide association studies. We performed a bidirectional two-sample Mendelian randomization (MR) study to explore causation. In the forward MR analysis (immune cells as exposure and AD as outcome), we found 41 immune cell traits causally associated with AD. The reverse MR analysis (AD as exposure and immune cell as outcome) indicated that AD affected 57 immune cell traits. Our results indicated that a variety of immune cells were causally associated with AD. Among them, resting Tregs, CD25hi, CD20 and CD33 were linked to the development of AD, while activated Tregs, secreted Tregs and HLA DR were protective factors for AD. Future studies are needed to develop the above immunophenotypes as biomarkers and therapeutic targets in AD.
Understanding the Ion Conductivity of Self-standing Poly-[Ethylene oxide] Composite Films through Non Fickian Diffusion Mediated Water Uptake Phenomena
Authors: Das Anamika , Mukhopadhyay Madhumita , Mukhopadhyay Jayanta , Mishra Shweta , Sutradhar Soumyaditya , Sarkar Anwita , Kulsi Goutam , Biswas Satarupa , Mukherjee Moumita 
Published: January 2024

Abstract

Understanding the mechanism towards interaction of water with polymer composite is of significance in the arena of solid-state device application, biomaterial science etc. A systematic research work is presented on the swelling behaviour and its influence towards the ionic conduction of Polyethylene oxide (PEO) -salt films. The influence of salts (viz. NH4I and KBr termed as PSN- & PSK-series) on the diffusion trait of polymer is analysed using non-Fickian python programming. The presence of ions and its polarizability behaviour influences the aqueous equilibration, number density of bounded and free water molecules along with the extent of cross linkage. The contribution of osmotic pressure tends to balance the dynamic non-covalent interactions thereby enhancing the diffusion driven ionic conduction (10-3 S.cm-1) process of PSK-films. Non Fickian diffusion is also found to accelerate the ionic conduction of PSK-series to 10-2 S.cm-1. The dielectric relaxation and long-term endurance (18500 h) establish the stability and applicability of such functionalized films as ionic electrolytes, membranes etc.
No Mow May citizen/community science and pollinator lawns increase bee and floral diversity in Central Wisconsin
Authors: Ribbons Relena , Toro Israel Del , Tamayo Audari , McGlynn Maggie , Knight Jackson , McMurray Dylan 
Published: January 2024

Abstract
Background.
Urban spaces can be re-imagined to encourage greater plant and insect biodiversity. Here, we share refined results from the first iteration of No Mow May in 2020, in Appleton, Wisconsin, which aimed to rapidly assess bee richness and abundance, plant richness and percent cover of lawns or greenspaces, and cultivate an engaged community of citizen scientists. We also present the subsequent 2021 No Mow May study, and demonstrate the process of open-access science. We integrated reviewer feedback to refine the methods used to assess the impacts of not mowing through the month of May.
Methods.
The 2020 study compared bee richness and abundance and plant richness and percent cover in lawns that were not mowed through the month of May with urban parks with regular mowing, using a sweep netting sand a largely no-kill approach to bee collection and identification. The 2021 study compared paired lawns that were in the No Mow treatment relative to neighboring lawns that were regularly mowed, and assessed flowering plant counts and percent cover as well as Hymenoptera genera abundance and richness using yellow pan traps and preserving bees in ethanol for subsequent identification in the lab.
Results.
We found a threefold increase in bee abundance and twofold increase in bee genera richness in 2020 in No Mow treatments compared with regularly mowed greenspaces. In 2020, mowed areas had 36% fewer plant species and 34% lower flower density than No Mow areas. In 2021, Hymenoptera richness mean values were 1.99 the No Mow vs. 0.18 the Mowed treatment, and the mean number of flowering plants hovered around 10 in No Mow vs. 2 across the Mowed treatments. This study highlights the importance of reproducibility in science as we show 2020 trends are consistent in 2021. We discuss the iterative nature of research studies and the benefits of the continued refinement in research questions and communication in science. We close by inviting folks to experiment with ways to advocate for small scale changes to improve pollinator forage and habitat resources, promote environmentally friendly urban spaces, increase water conservation efforts, and garden with native flowers and plants.
Adsorption of uremic toxins by modified activated carbon of different mesh with sulfuric acid
Authors: Guangle Qin , Gan Zhang , Dapeng Chen , Jinjie Sha 
Published: January 2024

Abstract
End-stage renal disease is a global health issue, and there is a growing trend of younger individuals being affected by this condition. In order to save time for patient undergoing dialysis treatment and allow them to return to social life, a portable dialysis device called wearable artificial kidney is quite necessary. The dialysate recycling system serves as a fundamental component of the wearable artificial kidney. It effectively eliminates various toxins from the waste dialysate and gets regenerated dialysate for subsequent dialysis sessions. However, the low capacity of urea treatment has been a difficult problem to overcome. In this study, our primary focus was to investigate the optimal modification conditions for activated carbon modified with sulfuric acid. We fabricated water vapor activation of coconut shell activated carbon and modified activated carbon of various mesh sizes with sulfuric acid solution. The samples were subjected to characterization, and adsorption experiments were conducted to evaluate their performance in adsorbing creatinine and urea. It was ultimately concluded that the samples obtained by treating 200 mesh activated carbon with 6 mol/L sulfuric acid solution exhibited superior adsorption capacity.
The impacts of the COVID-19 pandemic on the South African exchange rate market.
Authors: Antwi Albert , Chaka Lyson , Mokgosi Patience S. 
Published: January 2024

Abstract
This study aims to assess the impact of the pandemic on South Africa’s major exchange rate markets via GARCH in Mean models. Observations from the study indicate that the pandemic yielded increased volatility across all the currencies but only the increase on the EUR market was significant. However, although the increased volatilities during the pandemic were not asymmetric, the estimates were all significant. This suggests that during the pandemic, good news tends to significantly influence volatility more than bad news of equal magnitude. In addition, volatility did not persist much longer for the USD and the GBP market during the pandemic, but it persisted longer for the EUR market. The pandemic also affected the risk premium of the markets. While no incentive existed for investors to take on additional risk prior to the pandemic, they had substantial incentives during the pandemic for the USD and the GBP markets. This suggests that investors and traders were rewarded for the additional risks they took because of the increased volatility during the pandemic. However, although the intensity of the pandemic has subsided, the incentives may still exist, thus it is recommended that they explore this opportunity to make more returns on their investments.
A Systematic Literature Review of Interventions to Reduce Communication Apprehension among School Students
Authors: MINJ IPSITA , Biswal Ramakrishna , Oram Biren 
Published: January 2024

Abstract
Classroom communication, especially interpersonal communication skills, is an integral aspect of a successful classroom teaching-learning process. Students with high levels of communication apprehension in classes face serious negative outcomes on intra- and inter-personal relationships and academic performance, leading to an unpleasant schooling experience. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist, we present a systematic review of the characteristics and effectiveness of communication apprehension reduction interventions used for k-12 students in the past 30 years. Five electronic databases were searched for literature from 1992 to January 2022 that returned six studies for the final analyses. Self-modelling, communication mentoring, and speech training were found to be successful interventions in reducing communication apprehension among school students. The majority of interventions focus on public speaking anxiety, and there is a paucity of research in the interventions on CA reduction based on small groups and interpersonal communication among school students. The public speaking interventions were majorly implemented in separate courses, which cannot be incorporated into regular classes by teachers. Findings suggest that there is a need for more intervention studies on communication apprehension at the school level, especially communication at interpersonal and informal levels in regular classrooms, preferably implemented by teachers.
The optimization method of CNC lathe performance based on Morris sensitivity analysis and improved GA algorithm
Authors: Li Xianyi 
Published: January 2024

This study achieved the goal of guiding bed design and optimization by conducting multi-objective optimization research on the performance of CNC lathe beds. In this study, Morris analysis was first performed on the sensitivity of the parameters, and then out to optimize the parameters using a combination of neural network and genetic algorithm. The loss function value, RMSE error accumulation, recall, sensitivity and specificity of the ASSGA-BP optimization model were better. The maximum error between the predicted and true values of the ASSGA-BP model was 0.28 mm. In the performance study of the multi-objective optimization method based on the Morris sensitivity analysis and the improved GA algorithm, the average MAE value is 0.91 %. The average RMSE value is 0.59 %. Also, the new model is significantly better than the NSGA-II, EGA, and FGA algorithms in terms of both the number of final non-dominated solutions and the speed of reaching convergence. The above results demonstrate that the model proposed in this study has high performance, can achieve faster convergence and has the best stability of the convergence state. The innovation of this article lies in the use of the Morris method to screen and evaluate numerous parameters in order to improve the accuracy of the calculation results and ensure the effectiveness of the optimization results. The improved algorithm overcomes the problems of BP neural network and can effectively improve the generalization performance of the neural network, thereby improving the prediction accuracy of the model.