bluuebunny/crossref_metadata_2025_split huggingface dataset:
Autistic Traits Predicting Videconference Fatigue: Do Social Phobia and Internet Use Disorder Mediate that Association?
Authors: Zhang Yingying 
Published: July 2023

Abstract
Background
The present work sets out to replicate findings linking specific psychological factors with videoconference fatigue (VC fatigue). Specifically, an earlier study demonstrated that high VC fatigue was associated with high autistic traits, high social phobia, and high tendencies toward Internet use disorder (IUD) in a German-speaking sample, and a positive association between personality trait neuroticism and VC fatigue was also observed in Western countries. Due to the replication crisis of confidence in psychology and related disciplines, replicating findings in psychological research has become increasingly important. Therefore, we aimed to replicate the relationships between these psychological factors in a Chinese sample with different cultural backgrounds relative to previous studies.
Methods
We replicated this earlier study by investigating a sample from a different cultural background, which included 408 Chinese participants (214 males, 194 females, mean age of 21.61 years). Survey data via the Internet was collected to replicate the relationships between autistic traits, social phobia, IUD, neuroticism, and VC fatigue.
Results
As expected, autistic traits, social phobia, and IUD tendencies were robustly and positively associated with VC fatigue. A similar mediation effect also indicated that the relationship between autistic traits and VC fatigue was significantly mediated by IUD tendencies. Additionally, a positive association between neuroticism and VC fatigue was also observed in the present study.
Conclusion
Psychological factors, including autistic traits, IUD and neuroticism, might be important factors that contribute to VC fatigue. The consistency of correlations across studies and cultural backgrounds underlines the validity of these relationships between psychological factors and VC fatigue.
Girdling behavior of the longhorn beetle modulates the host plant to enhance larval performance
Authors: Choi Min-Soo , Lee Juhee , Kim Jeong-Min , Kim Sang-Gyu , Joo Youngsung 
Published: July 2023

Abstract

Background
Preingestive behavioral modulations of herbivorous insects are abundant over insect taxa. Those behaviors are suspected to have functions such as deactivation of host plant defense, nutrient accumulation, or modulating plant-mediated herbivore interaction. However, the hypotheses have rarely been experimentally tested, especially at molecular level. To understand the functional consequence of behavioral modulation of insect herbivore, we studied the girdling behavior of Phytoecia rufiventris Gautier (Lamiinae; Cerambycidae) on its host plant Erigeron annuus L. (Asteraceae) that is performed before endophytic oviposition in the stem.
Results
The girdling behavior significantly increased the larval performance in both field monitoring and lab experiment. The upper part of the girdled stem exhibited lack of jasmonic acid induction upon larval attack, lowered protease inhibitor activity, and accumulated sugars and amino acids in compared to non-girdled stem. The modulated plant physiology allowed P. rufiventris larvae to allocate resources from detoxification to growth at the transcriptional level. The girdling behavior had no effect on the larval performance of a non-girdling longhorn beetle Agapanthia amurensis, which also feeds on the stem of E. annuus during larval phase. However, the girdling behavior decreased the preference of A. amurensis females for oviposition, which enabled P. rufiventris larvae to avoid competition with A. amurensis larvae.
Conclusions
In conclusion, the girdling behavior modulates plant physiology and morphology to provide a modulated food source for larva and hide it from the competitor. Our study implies that the insect behavior modulations can have multiple functions, providing insights into adaptation of insect behavior in context of plant-herbivore interaction.
Wave scattering in 1D: D'Alembert-type representations and a reconstruction method
Authors: Kalimeris Konstantinos , Mindrinos Leonidas 
Published: July 2023

Abstract
We derive the extension of the classical d'Alembert formula for the wave equation, which provides the analytical solution for the direct scattering problem for a medium with constant refractive index; this is achieved by employing results obtained via the Fokas method. This methodology is further extended to a medium with piecewise constant refractive index, providing the apparatus for the solution of the associated inverse scattering problem. Hence, we provide an exact reconstruction method which is valid for both full and phaseless data.
Post-processing technology of the five-axis additive–subtractive composite manufacturing machine tool
Authors: Qiao Peng , Tang Qingchun , Hu Tian , Zhang Han 
Published: July 2023

Abstract
A post-processing technology is crucial in manufacturing complex curved surface parts as a bridge between CAD/CAM and machine manufacturing. Unlike the traditional five-axis machine tool, the five-axis additive–subtractive composite manufacturing machine tool combines additive and subtractive manufacturing. This study examines the post-processing technology to coordinate and control the contour accuracy of forming parts in the composite manufacturing. First, the basic kinematic model of the five-axis additive–subtractive composite manufacturing machine tool is constructed on the basis of the inverse kinematic principle by assuming a laser nozzle coaxial powder feeding head. Second, the reasons for the incoordination of the two process coordinates are analyzed, and the criterion of process coordinate coordination is established on the basis of the five-axis general kinematic model. Finally, a special five-axis additive–subtractive composite post-processing software is developed based on a high-level language and verified by additive manufacturing, subtractive manufacturing, and process coordinate experiments. Experimental results show that the established composite post-processing model can effectively realize the contour accuracy of additive–subtractive composite manufacturing of highly complex curved parts.
Analysis and Regulatory Mechanisms of Platelet-related Genes in Patients with Ischemic Stroke
Authors: Li Yuan , Shu Yuanlu , Yu Kun , Ni Ruihan , Chu Lan 
Published: July 2023

Abstract
It was found that ischemic stroke (IS) was associated with abnormal platelet activity and thrombosis. However, the potential significance of platelet-related genes (PRGs) in IS still needs to be more thorough. This study extracted IS-related transcriptome datasets from the Gene Expression Omnibus (GEO) database. The target genes were obtained by intersecting the differentially expressed genes (DEGs), the module genes related to IS, and PRGs, where the key genes of IS were screened by two machine learning algorithms. The key genes-based diagnostic model was constructed. Gene set enrichment analysis (GSEA) and the immune microenvironment analyses were analyzed targeting key genes in IS. The co-expression, TF-mRNA, and competitive endogenous RNAs (ceRNA) regulatory networks were constructed to reveal the potential regulation of key genes. Potential drugs targeting key genes were predicted as well. Totals of eight target genes were obtained and were associated with immune-related functions. Four platelet-related key genes were acquired, which were related to immunity and energy metabolism. The abnormal expressions of DOCK8, GIMAP5, ICOS were determined by the quantitative real-time Polymerase Chain Reaction (qRT-PCR), and the significant correlations among these key genes were identified. Notably, hsa-miR-17-3p, hsa-miR-3158-3p, hsa-miR-423-3p, and hsa-miR-193a-8p could regulate all key genes at the same time. In addition, Caffeine, Carboplatin, and Vopratelimab were the targeted drugs of these key genes. This study identified four platelet-related key genes of IS, which might help to deepen the understanding of the role of platelet-related genes in the molecular mechanism of IS.
Spatial Self-Bending Soliton Phenomenon of (2+1) Dimensional bidirectional Sawada-Kotera Equation
Authors: Wang Jing 
Published: July 2023

Abstract
In this paper, we mainly study the spatial self-bending soliton phenomenon of the (2+1) dimensional bidirection-al Sawada-Kotera equation. The bilinear form of the (2+1)-dimensional bidirectional Sawada-Kotera equation is obtained by Hirota bilinear method, and then the N-soliton solution is obtained through special parameter constraints (e A js = 0), the spatial self-bending soliton is derived from the N-soliton solution, and the curvature of the spatial self-bending soliton is given furthermore, the interaction solution of spatial self-bending soliton and respiratory wave is obtained, and the interaction solution of spatial self-bending soliton and higher-order lump wave is obtained by using the method of long wave limit.
Integrative Omics Analyses Reveal Molecular Changes of Irreversible Electroporation on Pancreatic cancer in Mice
Authors: Fang Chengyu , Liu Jingqi , Xu Lei , Lou Wenjing , Wang Yujue , Jiang Tianan 
Published: July 2023

Abstract
Purpose
Irreversible electroporation (IRE) is a local ablative technique with encouraging results in treatment of pancreatic cancer. However, the high recurrence rates make adjuvant therapy necessary. To develop effective adjuvant therapies with IRE, we aimed to analyze the molecular changes of pancreatic cancer after IRE..
Methods
KPC cell line was used to set subcutaneous or orthotopic pancreatic cancer mouse models. Both models were randomized to either sham surgery and IRE, and named control group or IRE group, respectively. The subcutaneous tumor models were used to evaluate IRE efficacy by recording the tumor volume and survival time. Orthotopic tumor models were employed to analyze the molecular changes of tumor tissues using transcriptomics, proteomics, and single-cell RNA sequencing (scRNA-seq) a day after IRE.
Results
IRE transiently inhibited tumor growth and prolonged the survival time of subcutaneous tumor models. Transcriptomics and proteomics analyses showed that T helper 1 (Th1) and T helper 2 (Th2) cell differentiation as well as T helper 17 (Th17) cell differentiation pathways were most significantly downregulated in the IRE group compared with the control group, indicating that IRE significantly affected CD4+ T cells. Furthermore, scRNA-seq revealed that the proportion of CD4+ effector T cell of CD4+ T cells decreased significantly, whereas the proportions of CD4+ naive T cells and regulatory T cell (Tregs) increased significantly in the IRE group. Gene set enrichment analysis revealed that tumor necrosis factor (TNF) and interleukin (IL)-17 signaling pathways of CD4+ effector T cells, and the IL-17 signaling pathway of CD4+ naive cells were significantly downregulated after IRE.
Conclusions
IRE can effectively treat pancreatic cancer in mice and significantly altered the distribution and functions of CD4+ T cells in pancreatic cancer.
Marginal abatement cost curves of climate-smart agricultural practices to mitigate greenhouse gas emissions from smallholder dairy farms in Kenya
Authors: Caulfield Mark E. , Graham Michael , Gibbons James , McNicol Louise , Williams Prysor , Chadwick Dave , Gakige Jesse , Wilkes Andreas , Kimoro Bernard , Arndt Claudia 
Published: July 2023

Abstract
While livestock play a vital role in supporting livelihoods of many people in Africa, they are also a major source of greenhouse gas emissions (GHG). An increasing population coupled with growing demand for livestock products means that there is an urgent need to implement cost-effective Climate Smart Agriculture (CSA) practices that can reduce emissions from livestock systems in Africa. The objective of this research was therefore to assess the effect of implementing CSA practices on milk yields and GHG emission intensities (EI) from three dairy production system types (no-graze, semi-intensive, and extensive) in Kenya. The research developed marginal abatement cost curves (MACC) to assess of the economic costs and trade-offs for the use of CSA practices in each of the dairy production systems. The research was conducted on 666 dairy farms in four counties in Kenya. Data from a farm survey and participatory workshops were used to categorise farms into production systems, estimate carbon emissions using the Agrecalc (Agricultural Resource Efficiency Calculator) tool, assess the effects of the use of CSA practices on milk yields and GHG EI, gain information on the costs of implementing CSA practices, and develop the MACCs. Our results showed that common CSA practices enhance milk yields and reduce GHG EI in dairy production systems. However, these benefits were not equally experienced by all production systems, with only clear statistical effects observed in extensive production systems. In these systems, farms using five or more CSA practices saw a 44% increase in milk production and a 25% reduction in GHG EI compared to farms not using any CSA practices. The MACCs revealed that the costs associated with the implementation of the CSA practices were higher for extensive production systems, but increased milk production meant that the net increases in value production were higher for extensive production systems. This indicates that upfront investment costs are important barriers to the use of CSA practices. Our results provide strong evidence that rural development projects are likely to be more successful when targeting farm types and using a “toolbox” approach. Moreover, the results demonstrate the importance for the establishment of policy and financing mechanisms to facilitate financing and decreasing the perceived risks involved in investing in CSA practices.
Psychosocial factors related to school satisfaction in times of pandemic in adolescents from northern Chile
Authors: Portilla-Saavedra Diego , Moya-Vergara Rodrigo , Castillo-Morales Katherin , Espinoza-Tapia Ricardo , Bilbao Maria 
Published: July 2023

Abstract
Chile is a country that was impacted not only by the effects of the pandemic but also by the political and social crisis at the end of 2019. Given this context, the present research aimed to examine the relationship between positive experiences, school-based support, mental health issues, and school satisfaction during the pandemic among adolescents in northern Chile. A hierarchical regression analysis was conducted to explore how these factors were associated with the school satisfaction of the adolescents. The results indicate that positive experiences and school-based support were significant factors in explaining school satisfaction during the pandemic. However, when considering the inclusion of mental health symptoms in the model, it was also found to be significant and reduced the effect of positive experiences on school satisfaction. These findings suggest the importance of considering the wide range of adolescent perceptions towards the pandemic, from positive evaluations of interpersonal and school experiences to associated mental health problems. Chilean schools and universities should take into account the inclusion of preventive campaigns and greater emotional health care for their students. Moreover, they should emphasize concrete support actions during the current post-confinement period.
Unraveling the origin of local chemical ordering structure in
Fe-based solid solutions
Authors: Wu Yuye , Yan Keyu , Xu Yichen , Niu Jiejue , Li Yue , Gault Baptiste , Zhao Shiteng , Wang Xiaoxiao , Li Yunquan , Wang Jingmin , Skokov Konstantin , Gutfleisch Oliver , Wu Haichen , Jiang Daqiang , He Yangkun , Jiang Chengbao 
Published: July 2023

Abstract
Local chemical order (LCO) can exert pronounced effects on both structural and functional properties, tailoring LCO domains at (sub-)nanoscale could offer an alternative material-design concept for yet unexplored performance. However, the origin of LCO remains an open question, making accurate manipulation of LCO extremely challenging. Here we selected the Fe-Ga magnetostrictive materials and demonstrated that LCO tetragonal structures play a significant role in optimizing the magnetostrictive properties. The “full-lifecycle”, including formation, evolution and dissolution of LCO, is concretely studied from the atomic-scale up by combined experimental and theoretical studies. The dynamic precipitation and dissolution processes of LCO L60 domains during isothermal aging are directly observed based on in-situ high-resolution transmission electron microscopy images, and the corresponding mechanisms are revealed by first-principles calculation. Based on the results, we evidence that LCO domain is a frozen-intermediate-states of a kinetically-slow solid-state phase transformation leading to the formation of the long-range-ordered equilibrium phase with a face-center-cubic structure. We confirm the reversibility of LCO during cycling treatments. Our findings shed light on the origin of LCO in a range of material systems, and we discuss directions for developing materials with superior performance by manipulating LCO domains.
Comparative Analysis of Machine Learning Algorithms for Crop Recommendations
Authors: Vyapari Chinmay , Bhosale Prathamesh , Parkar Prof. Ameya 
Published: July 2023

Abstract
India's economy heavily relies on agriculture, which serves as a crucial industry for its growth and survival. The country is recognized as one of the largest producers of various agricultural products. Soil, an essential component of crop cultivation and non-renewable natural resource, plays a pivotal role in sustaining life. Traditionally, farmers utilized their experience to select the most appropriate crops based on soil characteristics. However, the current agricultural landscape calls for a recommendation system utilizing machine learning algorithms to determine the ideal crop for specific type of soil.
Crop recommendation systems have gained significant attention in the field of agriculture, aiding farmers in making informed decisions about suitable crops for their specific conditions.
Domperidone-associated Ventricular Arrhythmia and Sudden Cardiac Death: A
Descriptive Literature Review
Authors: Maideen Naina Mohamed Pakkir , Barakat Ibrahim Ramadan , Jumale Abdurazak Hassan 
Published: July 2023

Background:
Domperidone is an antiemetic and prokinetic agent that is widely used to treat nausea and vomiting, gastroparesis, and as a galactagogue.

Objective:
This review article focuses on QT prolongation, torsades de pointes, severe ventricular arrhythmia, and sudden cardiac death associated with the use of domperidone or domperidone-containing products.

Methods:
The online databases, such as Medline/Pubmed/PMC, Google Scholar, Science Direct, Ebsco, Scopus, Web of Science, Embase, and reference lists, were searched using keywords like Domperidone, Cardiotoxicity, QT prolongation, Cardiac arrhythmia, Torsades de pointes, Ventricular arrhythmia, and Sudden Cardiac Death, to identify published articles relevant to domperidone-associated cardiotoxicity.

Results:
Domperidone has been linked to an increased risk of QT prolongation, torsades de pointes, severe ventricular arrhythmia, and sudden cardiac death, according to a number of epidemiological studies and meta-analyses.

Conclusion:
Domperidone can only be used to treat nausea and vomiting in patients between the ages of 12 and 60, and a maximum daily dose of 30 mg has been set by a number of regulatory bodies. The risk of severe ventricular arrhythmia and sudden cardiac death caused by domperidone should be made clear to clinicians along with the recommendations from regulatory bodies to avoid any potential complications.
Interleukin-6 Signaling in Atherosclerosis: From Molecular Mechanisms
To Clinical Outcomes
Authors: Papastamos Charalampos , Antonopoulos Alexios S. , Simantiris Spyridon , Koumallos Nikolaos , Sagris Marios , Theofilis Panagiotis , Oikonomou Evangelos , Siasos Gerasimos , Tsioufis Konstantinos , Tousoulis Dimitris 
Published: July 2023

Abstract:
Interleukin-6 (IL-6) is a cytokine centrally involved in several immune responses and it
has been recognized as a driver of enhanced atherothrombotic risk. Immunity and inflammation are
intrinsically involved in atherosclerosis progression. This generated ‘inflammation hypothesis’,
which is now validated in large-scale clinical trials. Abundant evidence supports the distinctive
role of IL-6 in coronary artery disease. The focus on this cytokine stems from epidemiological
studies linking high plasma concentrations of IL-6 with greater risk for adverse cardiovascular
events, genetic studies which implicate a causative role of IL-6 in atherosclerosis and murine data
which support the involvement of IL-6 in various pathophysiological cascades of atherothrombosis.
The fact that high IL-6 levels are equivalent to increased cardiovascular risk created an unmet
need to address those who are at ‘residual inflammatory risk’. Moreover, the opposing effects of
IL-6 underlined the importance of deciphering specific signaling cascades, which may be responsible
for different effects. Finally, murine data and some small clinical trials highlighted the possibility
of reversing the pro-atherogenic effects of IL-6 by directly targeting it. While IL-1 blockage was
proved effective, it is reasonable to examine if moving more downstream in the inflammation cascade
could be more selective and effective than other anti-inflammatory therapies. In the present review,
we examine the role of IL-6 as a biomarker of ‘residual inflammatory risk’, its vital role in
the pathophysiology of atherosclerosis progression and the possibility of targeting it to stall coronary
artery disease progression.
The Biogenetic Synthesis of Metallic Nanoparticles and the Role they Play
in the Anti-inflammatory Drug Treatment
Authors: Kurup Meena , Kumar Mohan , Ramanathan Sambathkumar , Chandira Rajappa Margret 
Published: July 2023

Background:
Nanoscience and nanotechnology have resulted in the continuous development
of new nanomaterials with remarkable properties that make them appealing for pharmaceutical
applications. The biocompatibility of metallic nanoparticles is of increasing interest for research scientists
currently working towards developing novel nano-based medicines, industrial chemicals, and antigens.
There is also a particular interest in using them to counter mutations that up-regulate inflammation
enhancers to produce a range of inflammation-related pathologies.

Aim:
The following review discusses the anti-inflammatory mechanisms of metallic bioconjugated
(silver, gold, zinc oxide, titanium dioxide, and selenium) nanoparticles. The current study focuses on
nanoparticle manufacturing technologies and the inflammatory response.

Methodology:
A thorough search was conducted in several databases, including Scopus, Embase,
Cochrane, and PubMed. The search terms used included: Alzheimer's disease, mechanism of action,
neuroinflammation, the reaction of Mast cells to stress and neuroinflammation. The study included all
publications published in English.

Results:
Green-synthesised nanoparticles can suppress the NF-B and cyclooxygenase-2 pathways,
preventing the production of proinflammatory cytokines and ROS scavenging mechanisms. Metallic
nanoparticles with anti-inflammatory properties, such as stability and specific targeting, have been
briefly discussed.

Conclusion:
The current research focuses on metallic nanoparticles employed as anti-inflammatory
medication molecules, although nanoparticles have applications in various areas (medicine, chemical
engineering, and agriculture). Nanoparticles have a large surface-to-volume ratio, which can help
them to penetrate cell membranes, and because of their solid ligand-binding capabilities, nanoparticles
have been used in the medical treatment of inflammatory pathologies.