bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of specific plant diversity in forest reserves and riparian areas in Benin
Authors: Eben-Ezer APELETE , Kourouma KOURA , Augustin AOUDJI , Cossi GANGLO Jean 
Published: August 2023

Abstract
Benin government is committed to the overall strategy for the sacred forests and protected areas conservation through their integration into the national system of protected areas. This is due to the value of biodiversity and the considerable ethno-cultural and religious importance of the forests and protected areas. The project titled “Project for the Integration of Sacred Forests into the System of Protected Areas of Benin (PIFSAP)” was initiated to preserve the biodiversity of the country by protecting and sustainably managing forest resources, biological and cultural heritage of local populations. Thus, all the sacred forests of Benin have been inventoried. The data were collected in 2013 and provided precise information on the sacred forests of Benin. The Center for Forestry Studies, Research and Training (CERF), a social, cultural and scientific institution, has made available the dataset on the species collected during PIFSAP project for publication on GBIF website. After cleaning and removing duplicates, this first dataset of 8,488 georeferenced plant species occurrences was published on GBIF website by GBIF Benin team. The most represented plant families within the dataset are Combretaceae, Sapotaceae and Fabaceae. This dataset will be used by scientists all over the world in various fields and therefore the results generated will inform decisions on biodiversity conservation and sustainable use in Benin and across Africa.
Using Data Mining Techniques to Generate Test Cases from Graph Transformation Systems Specifications
Authors: Araghi Maryam Asgari , Khendek Ferhat , Rafe Vahid 
Published: August 2023

Abstract

Software testing plays a crucial role in enhancing software quality. A significant portion of the time and cost in software development is dedicated to testing. Automation, particularly in generating test cases, can greatly reduce the cost. Model-based testing aims at generating automatically test cases from models. Several model based approaches use model checking tools to automate test case generation. However, this technique faces challenges such as state space explosion and duplication of test cases. This paper introduces a novel solution based on data mining algorithms for systems specified using graph transformation systems. To overcome the aforementioned challenges, the proposed method wisely explores only a portion of the state space based on test objectives. The proposed method is implemented using the GROOVE tool set for model-checking graph transformation systems specifications. Empirical results on widely used case studies in service-oriented architecture as well as a comparison with related state-of-the-art techniques demonstrate the efficiency and superiority of the proposed approach in terms of coverage and test suite size.
Influence of Soil Saturation and Seismic Load on the Post- Landslide Jure Slope, Nepal
Authors: Makaju Prabindra , Luitel Pradip , Panthi Prajwal , Lamsal Sandesh , Tiwari Ram Chandra Tiwari 
Published: August 2023

Abstract
Landslides in Nepal pose a significant threat due to the country's active tectonics, delicate geology, rugged topography, and uncertain climate. The Jure landslide that occurred on August 2, 2014, has garnered particular attention due to the unprecedented loss of life and properties. This paper investigates the influence of soil saturation and seismic load on the post-landslide Jure Slope, Nepal utilizing RocScience Phase2, a finite element analysis software. The study is performed by geomechanical stimulation of the slope model using shear strength reduction method, appropriate boundary conditions and Mohr Column & Hoek-Brown failure criteria. The results shows that higher saturation levels lead to reduced shear strength and increased displacement, while positive horizontal seismic loads decrease the critical strength reduction factor, increasing susceptibility of the slope to failure. Remedial measures developed accordingly can protect the affected region from future landslides during heavy rainfall and earthquakes. By enhancing our understanding of slope behavior, this study helps to improve disaster preparedness and resilience in similar regions facing natural hazards.
The implication of Synemin gene on expression and prognostic significance in gastric cancer based on bioinformatics
Authors: Pan Feng , Zhang Yong-Qiang , Zhang Xu-Dong , Li Xiao-Ning , Cui Hai-Kang , Yan Xi , Yan Lan , Zhang Wen-Jie 
Published: August 2023

Abstract

Objective：Here, we explored the expression of SYNM by means of Gene Expression Omnibus (GEO) and investigated its prognostic significance as well as potential functions in gastric cancer (GC).Methods：Toward this goal, differential gene expression analysis, univariate Cox regression, Lasso regression, best subset regression, Gene Set Enrichment Analysis (GSEA) and multivariate Cox regression were employed in GEO. For further verification, the pathological tissues of patients with gastric cancer were collected and analyzed. The expression of SYNM in GC tissues was verified by qRT-PCR, Western blotting and immunohistochemistry. Kruskal-Wallis test was used to analyze the correlation between SYNM expression and clinical characteristics. Kaplan-Meier analysis, univariate and multivariate Cox regression analysis were applied to analyzed prognostic.Results：SYNM is underexpressed in GC in public datasets and clinical samples (P <0.01); Its expression was significantly correlated with Lauren typing, T, N, M and clinical staging (P <0.05). Patients with high SYNM expression had poor prognosis (P <0.01) and it was an independent prognostic factor for GC (p = 0.01). The high expression of SYNM mRNA was enriched in Extracellular matrix (ECM) receptor interaction, leukocyte transendothelial migration and Transforming growth factor β (TGF – β) signaling pathway, and CD4+ memory T cells resting were abundant.Conclusion：SYNM was low expression in GC and it might promote the malignant development and immune evasion of GC, and patients with high expression of SYNM predicted a good prognosis.
Emotion Recognition and Processing Deficits in Children with High Callous-Unemotional Traits: The Role of the MAOA Gene
Authors: Muratori Pietro , Palumbo Sara , Vellucci Stefano , Mariotti Veronica , Billeci Lucia , Levantini Valentina , Inguaggiato Emanuela , Masi Gabriele , Milone Annarita , Pellegrini Silvia 
Published: August 2023

Abstract
Children with high Callous-Unemotional (CU) traits show deficits in recognizing and processing facial expressions. Alterations in emotion recognition have been linked to a higher synaptic concentration of monoaminergic neurotransmitters. The current study investigated the relationship between the MAOA-Low-activity alleles and the ability to recognize and process facial expressions in 97 male children (8-12 years old) diagnosed with disruptive behavior disorder. Participants completed a computerized emotion-recognition task while an eye-tracking system recorded the number (Fixation Count, FC) and length (Fixation Duration, FD) of fixations to the eye region of the emotional stimuli. Children with high CU traits exhibited lower scores in recognition of sadness and anger, and lower FC and FD for sadness and fear than children with low CU traits. Children carrying the MAOA-Low-activity alleles displayed lower FD for sadness, and FD and FC for fear than those carrying the MAOA-High-activity alleles. These genetic effects appeared even stronger in children with CU traits. Moderation analysis revealed that CU traits were associated with lower FC and FD for fear, and lower FD for sadness, probably due to the MAOA-Low-activity alleles. Our findings, although to be replicated, suggest MAOA-Low-activity alleles as potential genetic biomarkers to identify CU children in need of training focused on emotion processing.
Study of vibration frequency-fatigue strength action of 6061-T6 aluminum alloy during fillet welding
Authors: Lu Jingyu , Qiu Tingqi , Chen Zhanli , Zhang Wanze , Wu Minglong , Du Chuanzhi 
Published: August 2023

The research mainly focuses on the fatigue strength characteristics of 6061-T6 aluminum alloy fillet welds under different vibration frequencies. Firstly, by introducing Stress Life Curve (S-N Curve) and Probability Stress Life Curve (P-S-N Curve), the external vibration stress effects of the main load-bearing points in the stress environment of welded joints are analyzed. Subsequently, a vibration test control system is designed to analyze the relationship between vibration frequency and fatigue strength through nominal stress analysis and hot spot stress analysis. The research findings revealed that under the nominal stress analysis method, the P-S-N fitting curve showed a declining trend with an increase in fatigue life for stress variation curves with survival rates of 50 %, 95 %, and 97.7 % at vibration frequencies of 57.5 Hz, 67.5 Hz, and 77.5 Hz. At the same survival rate stress conditions, the fatigue life variation formed by resonance frequency was smaller, and the fatigue life in the resonance state was relatively lower. There is a certain correlation between vibration frequency and fatigue strength, with resonance frequency corresponding to relatively low fatigue life. This research result helps to reveal the fatigue behavior of 6061-T6 aluminum alloy fillet welds under different vibration stresses, providing a reference for the structural safety design of aluminum alloy components.
The blood-prostate barrier: an obstacle to drug delivery into the prostate
Authors: Mou Yixuan , Cao Min , Zhang Dahong 
Published: August 2023

Abstract:
The blood-prostate barrier (BPB), a non-static physical barrier, stands as an obstacle between
the prostate stroma and the lumen of the prostate gland tube. The barrier has the ability to dynamically
regulate and strictly control the mass exchange between the blood and the prostate, thereby limiting drug
penetration into the prostate. The basement membrane, fibrous stromal layer, capillary endothelial cell,
prostatic ductal epithelial cell, lipid layer, etc., have been confirmed to be involved in the composition of
the barrier structure and altered membrane permeability mainly by regulating the size of paracellular ion
pores. Various studies have been conducted to improve the efficiency of drug therapy for prostate diseases by changing the administration approaches, improving barrier permeability and increasing drug
penetration. To gain a full understanding of BPB, the composition of BPB, the methodology for evaluating the permeability of BPB and alterations in barrier function under pathological conditions are summarized in this review. To find a shortcut for drug delivery across BPB, the biodistribution of drugs in the
prostate and different methods of improving drug penetration across BPB are outlined. This review offers an applied perspective on recent advances in drug delivery across BPB.
Insight View on the Pharmacological Potential and Bio-active Components of Ginger
Authors: Sethiya Ayushi , Teli Pankaj , Agarwal Dinesh Kumar , Agarwal Shikha 
Published: August 2023

:
Ginger is a very renowned herbaceous plant that has been extensively used as a flavoring agent and herbal medicine for decades. It possesses a plethora of pharmacological properties, including anti-inflammatory, anti-oxidant, antimicrobial, anti-diabetic, anti-tumor, anti-viral, anti-Alzheimer, analgesic, cardio-vascular, etc. In this review, a comprehensive summary of the pharmacological potentials of ginger and its bioactive components is described. Their mechanisms of action against different diseases and targets are also discussed, which can lay the foundation for their medical applications.
Revealing ANXA6 as a Novel Autophagy-related Target for Pre-eclampsia
Based on the Machine Learning
Authors: Zhu Baoping , Geng Huizhen , Yang Fan , Wu Yanxin , Cao Tiefeng , Wang Dongyu , Wang Zilian 
Published: August 2023

Background:
Preeclampsia (PE) is a severe pregnancy complication associated with autophagy.

Objective:
This research sought to uncover autophagy-related genes in pre-eclampsia through bioinformatics and machine learning.

Methods:
GSE75010 from the GEO series was subjected to WGCNA to identify key modular genes in
PE. Autophagy genes retrieved from the THANATOS overlapped with the modular genes to yield PErelated autophagy genes. Furthermore, the crucial step involved the utilization of two machine learning
algorithms (LASSO and SVM-RFE) for dimensionality reduction. The candidate gene was further verified by quantitative reverse transcription polymerase chain reaction, western blot, and immunohistochemistry. Preliminary experiments were conducted on HTR-8/SVneo cell lines to explore the role of
candidate genes in autophagy regulation.

Results:
WGCNA identified 291 genes from 5 hubs, and after overlapping with 1087 autophagy-related
genes obtained from THANATOS, 42 PE-related ARGs were identified. ANXA6 was recognized as a
potential target through SVM-RFE and LASSO analyses. The mRNA and protein expression of
ANXA6 were verified in placenta samples. In HTR8/SVneo cells, modulating ANXA6 expression altered autophagy levels. Knocking down ANXA6 resulted in an anti-autophagy effect, which was reversed by treatment with CAL101, an inhibitor of PI3K, Akt, and mTOR.

Conclusion:
We observed that ANXA6 may serve as a possible PE action target and that autophagy
may be crucial to the pathogenesis of PE.
A Review: Ophiocordycep Sinensis (Berk.) as a Traditional Tibetan Medicine and its Potential in the Treatment of Various Human Ailments
Authors: Kom Yangchen Dolma , Karthiyayini R. 
Published: August 2023

Abstract:
Nature’s never-ending gift, which counts as one of the most valuable medicines in the
entire world, the Ophiocordyceps sinensis, also known as caterpillar fungus, is a traditional Chinese
medicine found in Tibetan plateaus. During the season of spring, many shepherd search for this caterpillar
fungus as its value in the market is very high. Moreover, due to the effects of climatic
change on its population and increasing demand, O. sinensis is now an endangered species. It can
treat almost many diseases, such as cardiovascular disease, respiratory diseases, immune dysfunction
etc. The chemical composition of this fungus includes amino acids, glutamic acid, polyamines,
cordycepic acid, saccharides, sterols, nucleotides, sugar derivatives, fatty acids, vitamins, and oleic
acid.
Using Augmented Reality Toward Improving Social Skills: Scoping Review
Authors: Mittmann Gloria , Zehetner Vanessa , Hoehl Stefanie , Schrank Beate , Barnard Adam , Woodcock Kate 
Published: August 2023

Background
Augmented reality (AR) has emerged as a promising technology in educational settings owing to its engaging nature. However, apart from applications aimed at the autism spectrum disorder population, the potential of AR in social-emotional learning has received less attention.

Objective
This scoping review aims to map the range of AR applications that improve social skills and map the characteristics of such applications.

Methods
In total, 2 independent researchers screened 2748 records derived from 3 databases in December 2021—PubMed, IEEE Xplore, and ACM Guide to Computing Literature. In addition, the reference lists of all the included records and existing reviews were screened. Records that had developed a prototype with the main outcome of improving social skills were included in the scoping review. Included records were narratively described for their content regarding AR and social skills, their target populations, and their outcomes. Evaluation studies were assessed for methodological quality.

Results
A total of 17 records met the inclusion criteria for this study. Overall, 10 records describe applications for children with autism, primarily teaching about reading emotions in facial expressions; 7 records describe applications for a general population, targeting both children and adults, with a diverse range of outcome goals. The methodological quality of evaluation studies was found to be weak.

Conclusions
Most applications are designed to be used alone, although AR is well suited to facilitating real-world interactions during a digital experience, including interactions with other people. Therefore, future AR applications could endorse social skills in a general population in more complex group settings.
Implementing Technologies to Enhance Coordinated Specialty Care Framework: Implementation Outcomes From a Development and Usability Study
Authors: Green James B , Rodriguez Joey , Keshavan Matcheri , Lizano Paulo , Torous John 
Published: August 2023

Background
Coordinated specialty care (CSC) has demonstrated efficacy in improving outcomes in individuals at clinical high risk for psychosis and individuals with first-episode psychosis. Given the limitations of scalability and staffing needs, the augmentation of services using digital mental health interventions (DMHIs) may be explored to help support CSC service delivery.

Objective
In this study, we aimed to understand the methods to implement and support technology in routine CSC and offered insights from a quality improvement study assessing the implementation outcomes of DMHIs in CSC.

Methods
Patients and clinicians including psychiatrists, therapists, and supported education and employment specialists from a clinical-high-risk-for-psychosis clinic (Center for Early Detection Assessment and Response to Risk [CEDAR]) and a first-episode–psychosis clinic (Advancing Services for Psychosis Integration and Recovery [ASPIRE]) participated in a quality improvement project exploring the feasibility of DMHIs following the Access, Alignment, Connection, Care, and Scalability framework to implement mindLAMP, a flexible and evidenced-based DMHI. Digital navigators were used at each site to assist clinicians and patients in implementing mindLAMP. To explore the differences in implementation outcomes associated with the app format, a menu-style format was delivered at CEDAR, and a modular approach was used at ASPIRE. Qualitative baseline and follow-up data were collected to assess the specific implementation outcomes.

Results
In total, 5 patients (ASPIRE: n=3, 60%; CEDAR: n=2, 40%) were included: 3 (60%) White individuals, 2 (40%) male and 2 (40%) female patients, and 1 (20%) transgender man, with a mean age of 19.6 (SD 2.05) years. Implementation outcome data revealed that patients and clinicians demonstrated high accessibility, acceptability, interest, and belief in the sustainability of DMHIs. Clinicians and patients presented a wide range of interest in unique use cases of DMHI in CSC and expressed variable feasibility and appropriateness associated with nuanced barriers and needs. In addition, the results suggest that adoption, penetration, feasibility, and appropriateness outcomes were moderate and might continue to be explored and targeted.

Conclusions
Implementation outcomes from this project suggest the need for a patient- and clinician-centered approach that is guided by digital navigators and provides versatility, autonomy, and structure. Leveraging these insights has the potential to build on growing research regarding the need for versatility, autonomy, digital navigator support, and structured applications. We anticipate that by continuing to research and improve implementation barriers impeding the adoption and penetration of DMHIs in CSC, accessibility and uptake of DMHIs will improve, therefore connecting patients to the demonstrated benefits of technology-augmented care.
Natural Resources and Conflict: A Dispute of Kurds and the Iraqi Government in Kirkuk
Authors: Nurdiansah Nandang 
Published: August 2023

The conflict between the Kurds and the Iraqi government in Kirkuk is not just a political conflict. This article describes how oil resources in Kirkuk can trigger conflict between the Kurds and the Iraqi government. The clash of interests between the two parties is crucial to overcome. The Kurdish referendum support group is determined to depart. Meanwhile, the government defends the Kirkuk region due to its rich natural resources. As a tool for analyzing events, the approach used is the theory of natural resources and violent conflict proposed by Ian Bannon and Paul Collier. The results indicated that Iraq's dependency and weak management of oil export commodities caused the conflict between the Kurds and the Iraqi government. This article, compiled by applying the literature review method, aims to explain the conflict in the Kirkuk region, with natural resources as the object also the Kurds and the Iraqi government as subjects facing each other.
IMPROVING STUDENTS’ VOCABULARY MASTERY BY USING THE RUMAH BELAJAR APPLICATION AT ONE OF JUNIOR HIGH SCHOOLS
Authors: Atia Nurul , Rachmawati Rachmawati , Yanto Yanto 
Published: August 2023

ABSTRACT
Vocabulary is an important factor in learning a language. People cannot hear, speak, read, and write without knowing vocabulary. Likewise in learning a foreign language such as English, vocabulary plays a very important role. However, not all junior high school students learn vocabulary in English easily. This is caused by several factors including learning media that are less attractive so that children get bored quickly, teaching methods or techniques of teachers who are not creative and monotonous, and teaching and learning activities that are more dominated by teachers without involving or involving students to participate. Rumah Belajar application is one of application used in learning and found a new understanding of the new media used by the teacher in media online learning. In this research, the researcher used Classroom Action Research as the design method. The data was collected from the seventh grade which has been learned using Rumah Belajar. The sample was 24 students selected by purposive sampling. The research found that the majority of students had a positive perception of Rumah Belajar in learning based on the results of their interviews. They improved their vocabulary learning through the Rumah Belajar application in learning and found a new understanding of the new media used by the teacher in media online learning. On the other hand, some students gave the perception that online learning has obstacles affected by a poor network, the quality of the student's mobile phone, and the capacity of the online learning application.
Keywords: Vocabulary, Rumah Belajar, Application.
Análise comparativa entre indicadores operacionais e financeiros do segmento de energia elétrica
Authors: Moraes Ana Paula Dias , Silva Agatha Souza da , Santos Fernando de Almeida 
Published: August 2023

Este artigo teve o objetivo de analisar se existe correlação entre os indicadores operacionais de qualidade da Agência Nacional de Energia Elétrica (ANEEL), e os indicadores financeiros de 4 distribuidoras de energia presente na Bolsa de Valores do Brasil [B]³, compreendendo o período de 2018 a 2021. Os resultados revelaram que os indicadores operacionais de qualidade poderiam estar correlacionados com o desempenho financeiros das distribuidoras de energia, mas, é essencial maior envolvimento entre ambos os indicadores para encontrar evidências de que um indicador afeta o outro. Logo, a contribuição dessa pesquisa é possibilitar uma visão sobre o setor e verificar a conexão dos indicadores, motivando uma possível otimização do processo de fiscalização e definição dos indicadores de qualidade.