bluuebunny/crossref_metadata_2025 huggingface dataset:
Novel de novo intronic variant of SYNGAP1 associated with the neurodevelopmental disorders
Authors: Liao Baoqiong , Xie Wuming , Shuai Mei , Liu Rutian , Zhang Qi , Hong Min , He Shuwen
Published: September 2024

Background: SYNGAP1 encodes a Ras/Rap GTPase-activating protein that is predominantly expressed in the brain with the functional roles in regulating synaptic plasticity, spine morphogenesis, and cognition function. Pathogenic variants in SYNGAP1 have been associated with a spectrum of neurodevelopmental disorders characterized by developmental delays, intellectual disabilities, epilepsy, hypotonia, and features of autism spectrum disorder. The aim of this study was to identify a novel SYNGAP1 gene variant linked to neurodevelopmental disorders and to evaluate the pathogenicity of the detected variant.
Methods: A novel de novo intronic variant in SYNGAP1 was identified by Whole exome sequencing (WGS) and confirmed by Sanger sequencing. Minigene assays were conducted to assess whether the intronic variant in SYNGAP1 influenced the normal splicing of mRNA.
Results: A novel de novo intronic variant in SYNGAP1 (c.3582+2T>G) was indentified with clinical features suggestive of neurodevelopmental related disorders. Minigene splicing analysis demonstrated that this noncanonical splice site variant led to the activation of a cryptic acceptor splice site. Consequently, 101 base pairs of intron 16 were aberrantly retained in the mRNA, leading to a frameshift. This frameshift resulted in the introduction of a premature stop codon (TGA) in the coding sequence and the production of a truncated SYNGAP1 protein, potentially leding to loss of function and subsequent disruption of its biological roles.
Conclusion: Our findings highlight the significance of de novo pathogenic SYNGAP1 variants at the intron 16/exon 17 junction in SYNGAP1-related neurodevelopmental disorders, providing novel insights into the genetic basis and diagnosis of these disabilities.
Empreendedorismo feminino na fronteira entre o Brasil e o Uruguai: :
Authors: Rodrigues Waleska Areva , Fleck Carolina Freddo , Prestes Caroline Soares
Published: September 2024

O presente estudo realizado na fronteira do Brasil com o Uruguai, nas cidades de Santana do Livramento e Rivera, teve como objetivo identificar os motivos que levam mulheres dos dois países vizinhos a empreender, bem como, identificar seus maiores desafios e analisar se o processo empreendedor se dá pela oportunidade ou necessidade. A pesquisa se caracterizou como descritiva de abordagem qualitativa. Utilizou-se o Método Narrativo, utilizando como técnica de coleta de dados a entrevista semiestruturada. As entrevistas foram realizadas com vinte duas mulheres, metade das entrevistadas em cada país, de empresas de diferentes ramos de atuação. Os resultados indicam que as mulheres empreendem por diversos fatores, entre eles aspectos ligados a questões familiares como cuidar dos filhos e rotinas da casa. Nas duas cidades as motivações mais citadas foram: realização pessoal, independência financeira e visão de oportunidade, sendo considerados como fatores determinantes na escolha para empreender; essas características relacionam-se com o empreendedorismo por oportunidade e não por necessidade nesta região. Os resultados desta pesquisa apontam como maiores desafios a dificuldade que as empreendedoras têm de conciliar o tempo entre seus afazeres domésticos, como cuidar dos filhos, da casa e do trabalho.
Raising Gross Regional Product of Irkutsk Region by Increasing Energy Efficiency of Regional Industrial Complex
Authors: Dzyuba Anatoly , Konopel'ko Dmitriy
Published: September 2024

Energy efficiency of fuel and energy consumption is an important indicator of regional economy. The article provides an empirical study of electricity consumption, gross regional product, and electricity consumption per capita in Russia’s regions in 2021. The analysis focused on the role of the Irkutsk Region in the development of Russia’s energy balance and economy. The authors mapped the electric intensity as part of gross regional product and found out that it is very low in the Irkutsk Region, despite the fact that this region is one of the largest consumers of electricity in Russia. The analysis revealed a national need for a better theoretical basis in energy efficiency. The research featured the increase in economic indicators of the Irkutsk Region in conditions of leveling the regional energy efficiency to average indicators. The authors used the methods of statistical research, expert assessments, modeling, and forecasting. They analyzed electric intensity by type of economic activity in various regions of the Siberian Federal District. As a result, they associated the low electric intensity of the gross regional product in Irkutsk with its industrial sector, which uses a lot of electricity and provides a significant share of the gross regional product. They modelled some changes in the volumes of Irkutsk’s gross regional product with an increase in energy efficiency in the industrial power consumption sector. As a result, the gross regional product increased by 57%, rising from 1,268 billion rubles to 2,000 billion rubles. The result was achieved by an increase in the industrial sector from 494 billion rubles to 1,226 billion rubles.
Evaluation of energy balance and greenhouse gas emissions in major crops in the Ardabil plain
Authors: Nouri-Khajebelagh Rassol , Khaledian Mohammadreza , Kavoosi-Kalashami Mohammad
Published: September 2024

The present study evaluated energy flow and the emission of greenhouse gases in the major crop production of the Ardabil plain, Iran, including wheat, potato, alfalfa, barley, and canola. The information required for this study was obtained using a questionnaire and face-to-face interviews with 1,078 farmers in the Ardabil plain during the crop year 2017–2018. Indices of input energy, output energy, specific energy, energy use efficiency, energy productivity, and global warming potential were calculated. The results showed that among the studied crops, the highest energy use efficiency was obtained with wheat and barley, being 5.2 and 5.14, respectively, and the lowest energy efficiency was obtained with alfalfa, rapeseed, and potato, being 4.6, 4.5, and 2.15, respectively. Potato (equivalent to 3,186.2 kg CO2/ha) and wheat (equivalent to 1,727.5 kg CO2/ha) had the largest share in the potential of global warming and greenhouse gas emissions compared to canola (equivalent to 1,326.22 kg CO2/ha), alfalfa (equivalent to 1,157.04 kg CO2/ha), and barley (equivalent to 952.39 kg CO2/ha). The production of crops with high water requirements and high chemical fertilizer consumption using old machines had a greater share in the amount of energy consumption and global warming compared to other crops.
The significance of calcium and magnesium content in drinking water for arterial stiffness among residents of the Slovak Republic
Authors: Rapant Stanislav , Čermák Patrik , Cvečková Veronika , Hajduk Igor , Kožíšek František , Stehlíková Beáta
Published: September 2024

Arterial stiffness (AS) is a significant risk factor for cardiovascular diseases, which are the leading cause of death in developed countries. Based on the measurement of AS among residents supplied with soft drinking water (100 respondents) and hard water (100 respondents), a significant difference was found in the pulse wave velocity (PWVao), arterial age, and the difference between arterial and actual age (delta – Δ age). Among respondents consuming soft drinking water, PWVao was higher by 1.9 m s−1, arterial age was higher by 23 years, and Δ age was higher by 14.5 years. As an intervention, originally soft drinking water was treated to increase calcium (Ca) and magnesium (Mg) content by approximately 10–15 mg l−1. After 18 months of consuming water with elevated Ca and Mg content, PWVao decreased by 0.93 m s−1, arterial age decreased by 10.42 years, and Δ age decreased by 11.79 years among respondents originally consuming soft drinking water. Thus, their risk of developing CVD was significantly reduced.
Flood hazard assessment using machine learning and hydrodynamic modeling: case study in the Vu Ga–Thu Bon basin in Vietnam
Authors: Nguyen Huu Duy , Dang Dinh Kha , Hoang Thanh Son , Truong Quang-Hai , Nguyen Thi-Ngoc-Uyen , Nguyen Xuan Linh , Ha Minh Cuong
Published: September 2024

The objective of this study was the construction of a theoretical framework to evaluate flood hazards by integrating machine learning and hydrodynamic modeling in Vietnam's Vu Gia–Thu Bon basin. MIKE FLOOD was used to simulate historical floods in 2017 in order to obtain flood depth and velocity. Support vector machine-stochastic gradient descent (SVM-SGD), decision trees (DT), and dagging (DA) were used to determine flood susceptibility. Flood hazard was constructed by combining the flood depth, velocity, and susceptibility using the analytic hierarchy process technique. The statistical indices Area under the curve-receiver operating characteristic (AUC), Root mean square error (RMSE), mean absolute error (MAE), and NASH were used to evaluate the precision of the hydrodynamic and machine learning models. The results showed that hydrodynamic modeling was highly accurate, with a NASH value of 0.86. The proposed models achieved AUC values of 0.98 for SVM-SGD, 0.93 for DT, and 0.92 for DA. The results showed that 7.59% of the flood zones is located in the very low flood hazard zone, 108.2 km2 in the low flood hazard zone, 24.59% in the moderate flood hazard zone, 22.53% in the high flood hazard zone, and 10.01% in the very high flood hazard zone.
Inland river health assessment based on statistics and matter-element theory: a case study of the Shiyang River in China
Authors: Zhang Yan , Qu Zhi , Zhang Ying , Wei Yun , Zhang Yuxin , Xu Yanrong , Wu Yizhen , Gao Haitao
Published: September 2024

A method combining statistics and matter-element theory was proposed to evaluate the health status of the main stream of the Shiyang River in Gansu Province, China. The river health evaluation indicators and their weight values were derived, constructing an evaluation system with four criteria layers: ‘basin’, ‘water’, ‘biology’, and ‘social service function’, encompassing 11 indicators. The Shiyang River was divided into three sections: Xiying, Liangzhou, and Minqin. The fuzzy evaluation method and the matter-element model were used to assess health grades. The weights of the ‘basin’, ‘water’, ‘biology’, and ‘social service function’ criteria are 29, 15, 24, and 32%, respectively. The comprehensive evaluation results for the Xiying, Liangzhou, and Minqin sections are ‘very healthy’, ‘unhealthy’, and ‘sub-healthy’, respectively. The main factors leading to lower scores in the Liangzhou and Minqin sections are ‘ecological flow’, ‘macrobenthic integrity’, and ‘fish diversity’. This study provides a comprehensive, scientific method for assessing and maintaining the health of the Shiyang River.
Mitochondrial DNA Mutations in Colorectal Cancer Stem Cells:
Implications for Tumor Dynamics and Therapeutic Strategies
Authors: Shakhpazyan Nikolay K. , Mikhaleva Liudmila M. , Bedzhanyan Arcady L. , Gioeva Zarina , Mikhalev Alexander , Midiber Konstantin Y. , Konyukova Alexandra K. , Atiakshin Dmitrii , Buchwalow Igor , Tiemann Markus , Orekhov Alexander N.
Published: September 2024

This review offers an in-depth analysis of mitochondrial DNA (mtDNA) mutations in colorectal cancer stem cells (CSCs), emphasizing their significant impact on tumor dynamics and potential therapeutic strategies. CSCs are a special subpopulation due
to their unique capabilities for self-renewal, differentiation, and resistance to conventional therapies. Given that CSCs significantly differ from other tumor cell subpopulations,
particularly in their metabolic properties, and considering that colorectal cancer is a malignancy characterized by mitochondrial dysfunction, this review aims to put together existing data on the differences in the mitochondrial genome of CSCs compared to other
colorectal tumor cell subpopulations. Additionally, the review seeks to explore the potential roles of these differences and to identify new ideas for therapeutic strategies. Key
topics include the identification and properties of CSCs in colorectal cancer, the distinctive features of the mitochondrial genome, and the functional consequences of mtDNA
mutations. The review hypothesizes that CSCs rely on well-functioning mitochondria
for crucial aspects like energy production; yet, mtDNA mutations can lead to mitochondrial dysfunction, altering CSC characteristics and influencing cancer progression. The
article discusses emerging therapeutic approaches targeting mitochondrial function in
colorectal CSCs and highlights the need for advanced research, including the development of preclinical models and exploration of targeted therapies, to improve the understanding and treatment of colorectal cancer.
Potential Signal Pathways and Therapeutic Effects of Mesenchymal Stem Cell on Oxidative Stress in Diseases
Authors: Xie Yina , Zheng Lingqian , Chen Wenmin , Zeng Yang , Yao Kaijin , Zhou Tianbiao
Published: September 2024

Oxidative stress is a biological stress response produced by the destruction of redox equilibrium in
aerobic metabolism in organisms, which is closely related to the occurrence of many diseases. Mesenchymal
stem cells (MSCs) have been found to improve oxidative stress injury in a variety of diseases, including lung
injury, liver diseases, atherosclerotic diseases, diabetes and its complications, ischemia-reperfusion injury, inflammatory
bowel disease. The antioxidant stress capacity of MSCs may be a breakthrough in the treatment of
these diseases. This review found that MSCs have the ability to resist oxidative stress, which may be achieved
through MSCs involvement in mediating the Nrf2, MAPK, NF-κB, AMPK, PI3K/AKT and Wnt4/β-catenin
signaling pathways.
Quinoline as a Privileged Structure: A Recent Update on Synthesis and Biological Activities
Authors: Kushwaha Pragati
Published: September 2024

:

Among heterocyclic compounds, quinoline is one of the best ubiquitous heterocyclic
rings for medicinal chemistry purposes. Quinoline appears to be a powerful chemical structure to
develop new drug entities. The quinoline derivatives own a wide array of biological activities such
as anticancer, antimalarial, antimicrobial, anti-inflammatory, anti-leishmanial, etc. Because of the
wide spectrum of bioactivities, the scientific communities are still looking for more efficient synthetic
routes to form quinoline derivatives. Therefore, the primary focus of this review is to provide
a thorough and inclusive, updated report on quinoline analogs that may pave the way for more efficient
drug development.
Disease-Modifying Symptomatic Treatment (DMST): The Potential Role of Vortioxetine in the Treatment of Depression in Patients with Multiple Sclerosis
Authors: Dolcetti Ettore , Annovazzi Pietro , Clerico Marinella , Cocco Eleonora , Conte Antonella , Marfia Girolama Alessandra , Salvetti Marco , Tomassini Valentina , Clerici Valentina Torri , Totaro Rocco , Bruno Antonio , Centonze Diego
Published: September 2024

In multiple sclerosis (MS), alongside the physical symptoms, individuals often grapple
with anxiety and depressive symptoms as prevalent comorbidity. Mood disturbances, frequently undertreated
in clinical practice, significantly impact the quality of life of individuals with MS, exacerbating
disability and hindering overall well-being. Furthermore, traditional antidepressant therapies
are often associated with adverse events, such as sexual side effect, weight gain, which could limit
their use in these patients. Vortioxetine is one of the most innovative antidepressant drugs in the current
pharmacopeia. Its pharmacological profile includes serotonin reuptake inhibition, antagonism
for hydroxytryptamine (HT) receptors 5-HT3, 5-HT1D and 5-HT7, partial agonism for 5-HT1B, and
agonism for 5-HT1A. It has been shown to have a beneficial effect on depression-related cognitive
dysfunction, as well as on anxiety, depression, anhedonia and emotional blunting. Recently a potential
anti-inflammatory action was also described. Limited clinical studies have specifically explored
the efficacy of vortioxetine in treating depressive symptoms in MS. However, extrapolating from existing
research in major depressive disorder, it is plausible that vortioxetine's multimodal mechanism
could provide a favorable therapeutic approach. This position paper, which summarizes the output of
annual clinical meeting held by the DMSTs in MS Italian Study Group, is focused on the possible
role that vortioxetine could play as symptomatic treatment (ST) of depressed patients with MS, hypothesizing
a direct impact on the clinical course of the disease.
Multimodal Deep Learning Network for Differentiating between Benign and Malignant Pulmonary Ground Glass Nodules
Authors: Liu Gang , Liu Fei , Mao Xu , Xie Xiaoting , Sang Jingyao , Ma Husai , Yang Haiyun , He Hui
Published: September 2024

Objective:

This study aimed to establish a multimodal deep-learning network model to enhance the diagnosis of benign and malignant pulmonary ground
glass nodules [GGNs].

Methods:

Retrospective data on pulmonary GGNs were collected from multiple centers across China, including North, Northeast, Northwest, South, and
Southwest China. The data were divided into a training set and a validation set in an 8:2 ratio. In addition, a GGN dataset was also obtained from
our hospital database and used as the test set. All patients underwent chest computed tomography [CT], and the final diagnosis of the nodules was
based on postoperative pathological reports. The Residual Network [ResNet] was used to extract imaging data, the Word2Vec method for semantic
information extraction, and the Self Attention method for combining imaging features and patient data to construct a multimodal classification
model. Then, the diagnostic efficiency of the proposed multimodal model was compared with that of existing ResNet and VGG models and
radiologists.

Results:

The multicenter dataset comprised 1020 GGNs, including 265 benign and 755 malignant nodules, and the test dataset comprised 204 GGNs, with
67 benign and 137 malignant nodules. In the validation set, the proposed multimodal model achieved an accuracy of 90.2%, a sensitivity of 96.6%,
and a specificity of 75.0%, which surpassed that of the VGG [73.1%, 76.7%, and 66.5%] and ResNet [78.0%, 83.3%, and 65.8%] models in
diagnosing benign and malignant nodules. In the test set, the multimodal model accurately diagnosed 125 [91.18%] malignant nodules,
outperforming radiologists [80.37% accuracy]. Moreover, the multimodal model correctly identified 54 [accuracy, 80.70%] benign nodules,
compared to radiologists' accuracy of 85.47%. The consistency test comparing radiologists' diagnostic results with the multimodal model's results
in relation to postoperative pathology showed strong agreement, with the multimodal model demonstrating closer alignment with gold standard
pathological findings [Kappa=0.720, P<0.01].

Conclusion:

The multimodal deep learning network model exhibited promising diagnostic effectiveness in distinguishing benign and malignant GGNs and,
therefore, holds potential as a reference tool to assist radiologists in improving the diagnostic accuracy of GGNs, potentially enhancing their work
efficiency in clinical settings.
Improving Image Quality and Diagnostic Performance of CCTA in Patients with Challenging Heart Rate Conditions using a Deep Learning-based Motion Correction Algorithm
Authors: Wang Ziwei , Bao Li , Zhong Sihua , Xiong Fan , Zhong Linze , Wang Daojin , Shuai Tao , Wu Min
Published: September 2024

Objective:

Challenging HR conditions, such as elevated Heart Rate (HR) and Heart Rate Variability (HRV), are major contributors to motion artifacts in
Coronary Computed Tomography Angiography (CCTA). This study aims to assess the impact of a deep learning-based motion correction
algorithm (MCA) on motion artifacts in patients with challenging HR conditions, focusing on image quality and diagnostic performance of CCTA.

Materials and Methods:

This retrospective study included 240 patients (mean HR: 88.1 ± 14.5 bpm; mean HRV: 32.6 ± 45.5 bpm) who underwent CCTA between June,
2020 and December, 2020. CCTA images were reconstructed with and without the MCA. The signal-to-noise ratio (SNR) and contrast-to-noise
ratio (CNR) were measured to assess objective image quality. Subjective image quality was evaluated by two radiologists using a 5-point scale
regarding vessel visualization, diagnostic confidence, and overall image quality. Moreover, all vessels with scores ≥ 3 were considered clinically
interpretable. The diagnostic performance of CCTA with and without MCA for detecting significant stenosis (≥ 50%) was assessed in 34 patients
at both per-vessel and per-patient levels, using invasive coronary angiography as the reference standard.

Results:

The MCA significantly improved subjective image quality, increasing the vessel interpretability from 89.9% (CI: 0.88-0.92) to 98.8% (CI:
0.98-0.99) (p < 0.001). The use of MCA resulted in significantly higher diagnostic performance in both patient-based (AUC: 0.83 vs. 0.58, p =
0.04) and vessel-based (AUC: 0.92 vs. 0.81, p < 0.001) analyses, with the vessel-based accuracy notably increased from 79.4% (CI: 0.72-0.86) to
91.2% (CI: 0.85-0.95) (p = 0.01). There were no significant differences in objective image quality between the two reconstructions. The mean
effective dose in this study was 2.8 ± 1.1 mSv.

Conclusion:

The use of MCA allows for obtaining high-quality CCTA images and superior diagnostic performance with low radiation exposure in patients with
elevated HR and HRV.
Design and Synthesis of 3-(Phenylsulfonamido)benzamide Derivatives as Potent Carbonic Anhydrase IX Inhibitors: Biological Evaluations and Molecular Modeling Studies
Authors: Khanfar Mohammad A. , Saleh Mohammad
Published: September 2024

Introduction:

Carbonic anhydrase IX (CAIX) is known to be overexpressed in various
tumors and plays a significant role in tumor development and progression.

Methods:

A series of 3-(benzylsulfonamido)benzamides derivatives was synthesized and tested for
their CAIX inhibitory activities. The two most active compounds were subjected to cytotoxicity
testing against a panel of 60 cancer cell lines.

Results:

Many of the synthesized compounds successfully inhibited CAIX activities, exhibiting
IC50 values in the low nanomolar range. The most potent CAIX inhibitor was compound 14, with an
IC50 of 140 nM. Structure-activity relationship analysis of the synthesized compounds supported
with molecular docking revealed strong coordination of sulfonamide moiety with the catalytic Zn2+
metal, hydrophobic interactions of the benzylsulfonamido ring with a hydrophobic pocket, and π-
stacking interactions of the aryl ring with an aromatic surface. The two most active analogues (10
and 14) were further tested for their antiproliferative activities in the NCI-60 human tumor cell
lines. Notably, compound 14 demonstrated potent growth inhibitory effects against several cancer
cell lines.

Conclusion:

The synthesized analogues represent a novel scaffold for the treatment of different
types of cancer by targeting CAIX.
Logistics of Medical Waste Management: A Systematic Review of Quantitative Models
Authors: Mahmoudzadeh Mahdi , Pardosi Boylan
Published: September 2024

Background:

Medical waste poses various risks to public health, with heightened importance
post-COVID-19. The pandemic escalated the ever-growing generation of medical waste,
which demands meticulous handling to mitigate potential risks to the healthcare system and the
public. Medical waste management relies heavily on logistics, ensuring the safe and proper disposal
of medical waste.

Objective:

Quantitative models play an integral part in establishing effective, flexible, and costefficient
logistics in medical waste management. They enable precise planning, optimizing routes,
and determining the most efficient disposal methods. This paper provides a systematic review of
quantitative models for the logistics of medical waste management.

Methods:

Through comprehensive search, filtering, and screening, we identify 96 documents for
detail review.

Results:

We present a structural review covering key aspects of modeling: entities involved, objectives,
constraints, solution methods, uncertainties and stochastic input, multi-criteria decision
analysis, and post-optimality analysis.

Conclusion:

This state-of-the-art review provides a general guideline for the current approaches
to modeling and quantitatively analyzing the logistics of wase management. Our paper also serves
as a starting point for practitioners aiming to learn the basics of running logistics of medical waste
management.
Kinerja Keuangan Umkm Sebagai Akibat Dari Financing Gap Dan Inklusi Keuangan Digital
Authors: Safitri Kamila Andina
Published: September 2024

This study aims to determine the influence of financing gap and digital financial inclusion on the financial performance of MSMEs located in the Gading Kasri Urban Village of Klojen District, Malang City. The objective is to reveal the direct impact. This type of research is explanatory research that explains the causal or cause-and-effect relationship between variables through hypothesis testing. The study obtained a sample of 70 respondents using simple random sampling technique, aligning with MSME data obtained from the Gading Kasri Urban Village Office. The testing tools used include research instrument testing, classic assumption testing, multiple linear regression, and hypothesis testing (F-test and t-test). From the test results, it can be concluded that the financing gap has a significant negative influence on the financial performance of MSMEs. Meanwhile, digital financial inclusion have a significant positive impact on the financial performance of MSMEs.
 
Abstrak
Penelitian ini bertujuan untuk mengetahui pengaruh financing gap dan inklusi keuangan digital terhadap kinerja keuangan UMKM yang berlokasi di Kelurahan Gading Kasri Kecamatan Klojen Kota Malang. Tujuan yang ingin diungkapkan adalah pengaruh secara langsung. Jenis penelitian ini adalah penelitian eksplanatori (explanatory research) yang menjelaskan hubungan kausal atau sebab-akibat antara variabel-variabel melalui pengujian hipotesis. Penelitian ini mendapatkan sampel sebanyak 70 responden. Pengambilan sampel menggunakan teknik simple random sampling dikarenakan menyesuaikan data UMKM yang didapat dari Kantor Kelurahan Gading Kasri. Alat uji yang digunakan adalah uji instrumen penelitian, uji asumsi klasik, regresi linear berganda, dan pengujian hipotesis (uji F dan t). Dari hasil pengujian ini dapat disimpulkan bahwa financing gap memiliki pengaruh signifikan secara negatif terhadap kinerja keuangan UMKM. Sedangkan, inklusi keuangan digital berpengaruh signifikan secara positif terhadap kinerja keuangan UMKM.
Pengaruh Struktur Kepemilikan, Gender Diversity, Dan Leverage Terhadap Financial Distress
Authors: Cahyaningtyas Sindy Eka Yulianti , Wijayanti Risna
Published: September 2024

The purpose of this research is to identify the effects of ownership structure, gender diversity, and leverage on financial distress in property, real estate, and building construction companies listed on the Indonesia Stock Exchange in the period of 2015-2019. Here ownership structure is measured using institutional and managerial ownerships, gender diversity is measured using the number of female members of the board, leverage is measured using Debt to Asset Ratio (DAR), financial distress is measured using the Altman Z-score. The data of this study was harvested from the financial reports of 18 sample companies, selected through purposive sampling technique, and was analyzed using logistic regression in IBM SPSS 26. The results indicate that institutional and managerial ownership and gender diversity have no significant effect on financial distress, while leverage positively and significantly influences financial distress. Based on the findings above, leverage plays an important role in determining the occurrence of financial distress, yet the roles of ownership structure and gender diversity in conditioning financial distress. Therefore, companies need to pay more attention to their leverage.
 
Abstrak
Penelitian ini bertujuan untuk mengetahui pengaruh dari stuktur kepemilikan yang diukur dengan kepemilikan institusional dan kepemilikan manajerial, gender diversity yang diukur dengan jumlah direksi wanita, dan leverage yang diukur dengan debt asset ratio (DAR) terhadap financial distress yang diukur menggunakan Altman Z-Score pada perusahaan sektor property, real estate, and building contruction yang terdaftar di Bursa Efek Indonesia tahun 2015-2019. Alat analisis yang digunakan untuk menguji hipotesis penelitian adalah Regresi Logistik dengan mengggunakan IBM SPSS 26. Data yang digunakan pada penelitian ini adalah laporan keuangan pada perusahaan sektor property, real estate, and building contruction yang terdaftar di BEI tahun 2015-2019 dengan menggunakan teknik Purposive Sampling. Berdasarkan kriteria yang ditentukan, sampel yang digunakan dalam penelitian berjumlah 18 perusahaan. Hasil penelitian menunjukkan bahwa kepemilikan institusional, kepemilikan manajerial, dan gender diversity tidak berpengaruh signifikan terhadap probabilitas financial distress, sedangkan leverage berpengaruh positif signifikan terhadap financial distress. Dari hasil penelitian yang dilakukan oleh peneliti, leverage memiliki peranan penting dalam menentukan terjadinya financial distress, sedangkan struktur kepemilikan dan gender diversity tidak memiliki peranan penting dalam menetukan financial distress sehingga perusahaan harus benar-benar memperhatikan leverage perusahaan.
Pengaruh Keputusan Utang, Kebijakan Dividen, Dan Pertumbuhan Aset Terhadap Nilai Perusahaan
Authors: Setiawan Naufal Kusuma , Nurmasari Nuraini Desty
Published: September 2024

The objective of this research is to identify the effects of the decision to take debts, dividend policy, and asset growth on firm value among manufacturing companies listed on the Indonesia Stock Exchange during the 2018-2022 period. The hypotheses of this quantitative research were tested through the statistical analysis. Using purposive sampling technique, thirteen companies were selected as the samples. This study uses panel data regression, which is a random effect model acquired from the results of the panel data regression. The results of the assessments lead to a conclusion that the decision to take debts, dividend policy, asset growth partially do not influence firm value. This finding can be used by investors and companies as a consideration and reference in making purchase decision and policy management related to the variables of this research.
 
Abstrak
Penelitian ini bertujuan untuk mengetahui pengaruh keputusan utang, kebijakan dividen, dan pertumbuhan aset terhadap nilai perusahaan (studi pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia tahun 2018-2022). Jenis penelitian ini adalah penelitian kuantitatif yang melakukan pengajuan hipotesis menggunakan analisis statistik. Penelitian ini menggunakan sampel sebanyak 13 perusahaan dengan teknik pengambilan sampel purposive sampling. Penelitian ini menggunakan model regresi data panel yaitu  regresi random effect model yang didapatkan dari hasil pengujian regresi data panel. Dari hasil pengujian ini dapat disimpulkan bahwa secara parsial keputusan utang, kebijakan dividen, dan pertumbuhan aset tidak berpengaruh terhadap nilai perusahaan. Implikasi penelitian ini yaitu dapat dijadikan pertimbangan dan referensi bagi investor dan perusahaan dalam melakukan keputusan pembelian dan pengelolaan kebijakan perusahaan yang terkait dengan variabel dalam penelitian.
Behavioral Analysis of the Weaver Ants (Oecophylla smaragdina) on Bougenville Trees in Temon Kulonprogo
Authors: Ningrum Elsa Aprilia , Lathi Hayyuning , Ratnasari Tantri Ayu , Rahmawati Yunita Fera
Published: September 2024

The behavioral analysis of weaver ants (Oecophylla smaragdina) was carried out by observing the behavior of weaver ants found on the Bougenville tree located at the researcher's house in the Temon area, Kulonprogo. Observations were made using the Ad Libitum, Scan Sampling, and Behavioral Sampling methods on the behavior of weaver ants (Oecophylla smaragdina) with each method being repeated three times. The purpose of this study was to determine the specific behavior of weaver ants (Oecophylla smaragdina) for 24 hours. The results showed that there were differences in the activity of weaver ants in the morning, afternoon, and evening. In the morning the weaver ants have not done much activity, so the observations show that 44% of weaver ants' activity is inactive. Other activities observed in the morning were walking (28%), communication (20%), and colonizing (8%). During the day observed transport (20.7%), walking into the nest (19%), grooming (17.2%), silence (16.4%), communication (11.2%), walking out of the nest ( 8.6%), colonies (5.2%), and nests (1.7%). In the afternoon the activity of weaver ants was observed to be less than during the day. The most observed activities were silence (36.4%), walking into the nest (24.5%), communication (14.5%), colonizing (11.8%), grooming (9.1%), and entering nest 3.6%. Silent activity is the most observed activity in this observation, resting activity is an important activity carried out by individuals after eating activities.
The choice of dose fractionation regimen for grade 4 gliomas, depending on the age of patients
Authors:   P. Hertsen Moscow Oncology Research Center – branch of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Chuguev A.S. , Gerasimov V.A. ,   P. Hertsen Moscow Oncology Research Center – branch of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Belikova A.A. ,   P. Hertsen Moscow Oncology Research Center – branch of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Kaprin A.D. ,   National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation (NMRRC), Datsenko P.V. ,   P. Hertsen Moscow Oncology Research Center – branch of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation
Published: September 2024

The aim of the work is to study the effect of two dose fractionation regimens on subsequent survival in patients with grade 4 gliomas, depending on age. In 140 patients with morphologically confirmed grade 4 glioma, fractionation with the prescribed dose of 2 and 3 Gy was alternately used using a pairwise modeling strategy. Of these, 111 patients (79.3%) died, 99 (70.7%) from glioma progression. In the group <50 years old, the median overall survival as of December 2023 was 31.11 months (95% Cl: 21.0-41.2), ≥50 years – 18.99 months (95% Cl: 16.0-21.0; p=0.014). In the group ≥50 years old with the fractionation mode of 3 Gy, the median overall survival was 21.32 months (n=47; 95% Cl: 12.1-30.6), with the mode of 2 Gy – 16.29 months (n=47; 95% Cl: 12.3-20.3; p=0.037). With glioblastoma, there are no statistical differences between the two irradiation programs – the medians are 20.0 and 16.4 months, respectively (p=0.118). In the group <50 years old with the fractionation mode of 3 Gy, the median overall survival was 32.49 months (n=23; 95% Cl: 7.1-57.9), with the mode of 2 Gy – 29.11 months (n=23; 95% Cl: 17.6-40.6; p=0.717). With glioblastoma, there are no statistical differences between the two radiotherapy programs – the median is 18.3 and 23.7 months, respectively (p=0.710). The data obtained indicate the expediency of using hypofractive radiotherapy regimens for grade 4 gliomas in patients over 50 years of age, radiation therapy should be carried out with a sufficiently high dose level, including in patients over 70 years of age with good functional condition. In young patients, approaches with increasing single doses do not lead to improved results. The fractionation regimen with a dose of 2 Gy should be considered optimal for radiation therapy.
The Impact of Therapeutic Viniyoga on State Change
Authors: Vasquez Jennifer , Quill Michele Quintin , Bossart Chase
Published: September 2024

While many studies have discussed the effectiveness of interventions using different yoga techniques and teachings with various populations, there has been less research on the effectiveness of yoga therapy. Viniyoga therapists utilize the principles of Viniyoga, a type of yoga developed by Krishnamacharya, to provide therapeutic yogic interventions to individual clients in order to improve functioning and relieve suffering. This qualitative study conducted interviews with fourteen Viniyoga trained yoga therapists to understand the impact of Viniyoga therapy on state change. State change is defined as either a physical or psychological change that improved well-being, ameliorated suffering, or increased insight for the client. The researchers used an in-depth semi-structured interview while utilizing open-ended questioning. A definition of Viniyoga Therapy was developed, and distinctions were made between yoga therapists and yoga teachers. Subjects interviewed discussed the results of their interventions using the 5-dimensional pañcamaya model, which considers a client’s structure, physiology, mind, personality, and emotions. Viniyoga therapists interviewed drew from their own observations, as well as clients’ self-reported data. Results were analyzed using NVivo software and based on Interpretive Phenomenological Analysis principles. Five important themes emerged: 1) Viniyoga empowers clients to participate in their own process of state change by training their self-observation skills and providing tools for influencing their state 2) Intentionally engineered experiences are the tools of Viniyoga 3) Viniyoga takes a highly individualized approach to supporting state change 4) The relationship between the client and the Viniyoga therapist itself promotes state change, and is very important to the state change process 5) State change is foundational to the healing process of Viniyoga. The study concluded that Viniyoga therapy can be helpful in creating state change and alleviating distress related to a wide range of physical and psychological conditions. Implications for yoga therapy as an integrative and complementary health approach are discussed.
Mapping Hotspots and Global Research Trends in Exergaming Between 1997-2024: A Comprehensive Bibliometric Analysis (Preprint)
Authors: Kayhan Abdullah , Kose Elif , Kayhan Burcu , Zeng Nan
Published: September 2024

BACKGROUND

Exergaming, the combination of exercise and gaming, has emerged as an important area in physical activity research. By leveraging advances in video game technology, exergaming supports both physical and mental health. This growing interest in exergaming has increasingly attracted researchers over the years. Considering these developments, we believe that a comprehensive review of studies in this field will provide valuable perspectives for researchers working in this field.

OBJECTIVE

This study aims to identify the most researched concepts and topics in the field of exergaming, track the changes of trending topics over the years; identify the most influential journals as well as the authors who have contributed the most to the field; identify groundbreaking studies and neglected topics that shape future work; and reveal the countries, institutions and collaborations that have contributed the most to the field. It also aims to identify research gaps in the field of exergaming and provide important recommendations for future research.

METHODS

A bibliometric analysis was carried out using the Web of Science database, including sources up to July 2024. The R-based Bibliometrix package and the Biblioshiny web interface were used for data analysis and visualization. These analyses provided insights into research trends, citation metrics and thematic developments.

RESULTS

The results of our analysis reveal a marked increase in exergaming research since 2010, peaking in 2020-2021. High-impact journals such as Games for Health Journal and International Journal of Environmental Research and Public Health are key publishers in this field.
Researchers who have enriched the knowledge base of the exergaming field and made significant contributions include Gao Z, De Bruin ED and Zeng N. The most cited studies were divided into two different clusters. Cluster 1 focuses on concepts such as physical activity, exercise, energy expenditure and children, while Cluster 2 focuses on rehabilitation, balance, adults and aging. Medicine, information technology, dementia and disability are among the new emerging themes. The United States leads the way in terms of research productivity, with institutions such as the Swiss Federal Institute of Technology and the Karolinska Institute as major contributors.

CONCLUSIONS

: Research in the field of exergaming has mainly focused on physical activity, exercise and rehabilitation. With advances in technology and the market introduction of new active video games, one of the key research gaps is to understand how these games can promote physical activity and other health-related outcomes. Also, the social impacts and community-based applications of exergaming remain critical areas of study. Future research should also investigate the cost-effectiveness, economic benefits and investment opportunities of exergaming, including economic issues and financial sustainability.
Research on the Innovation of English Teaching Mode Based on Artificial Intelligence
Authors: Sheng Baohan
Published: September 2024

This article presents a research on innovative approaches in English language teaching through the application of Artificial Intelligence (AI). The aim is to address the issues found in traditional English language teaching methods by utilizing AI technology. The article begins by identifying the problems in traditional English language teaching and exploring the current applications of AI in education. Then, it specifically discusses the application of AI technology in English language teaching, such as interactive listening training, intelligent error correction and personalized post-class guidance, and cloud-based intelligent English translation teaching. Subsequently, a proposal is put forward to construct a new English language teaching system based on AI technology, including modules for engaging explanations, interactive English assignments, and creating scenarios for cross-cultural communication oral training. Lastly, an evaluation method for assessing the innovation of English language teaching models based on AI is introduced, which includes feedback and perceptions from both teachers and students, as well as an assessment of teaching outcomes. The research findings of this article can provide a more intelligent, personalized, and effective English language teaching approach, thus positively impacting the quality of English language teaching and enhancing students’ interest in learning.
Research on the Innovative Path of Ideological and Political Education Psychology
Authors: Sang Xiaohui
Published: September 2024

Ideological and political education psychology is a discipline that applies psychological theories and methods to study the psychological activity patterns of ideological and political education teaching objects, and belongs to a branch of applied psychology. Due to the late start of ideological and political education psychology, there are still unresolved issues in its current development status. How to achieve innovative development of ideological and political education psychology is a problem that ideological and political education workers in the new era should consider.
Usos diferenciados del teléfono inteligente entre mujeres y hombres en el México rural
Authors: Martínez Domínguez Marlen
Published: September 2024

Objetivo: analizar los usos diferenciados del teléfono inteligente entre mujeres y hombres que viven en el sector rural mexicano. Metodología: se estimó un modelo de regresión bivariado para fines laborales, escolares, de capacitación y comerciales, con datos de la Encuesta Nacional sobre Disponibilidad y Uso de Tecnologías de la Información en los Hogares 2022. Resultados: los hallazgos muestran un uso diferenciado por género y mayor diversificación de uso del celular a medida que se tiene mayor nivel de escolaridad y de habilidades digitales. Valor: los fines de uso del teléfono inteligente se asocian con los roles tradicionales de las mujeres y de los hombres en la sociedad, y refuerzan las desigualdades para las mujeres debido a su posición marginada en el espacio público. Limitaciones: el análisis se concentra en la población rural, definida por el Instituto Nacional de Estadística y Geografía como localidades que tienen menos de 2 500 habitantes. Conclusiones: la brecha digital entre hombres y mujeres en el uso del teléfono inteligente está condicionada por la edad, el nivel educativo, el tipo de ocupación y el nivel de habilidades digitales.
RFID-Based Bus Detection System for Visually Impaired
Authors: Krishna G. Hari , Meghana K. Sai , Siri Ch. , Joshna M. , Akanksha G.
Published: September 2024

Abstract: A system in bus detection for people with visual impairments using RFID is presented in an effort to make travel easier and hassle-free. The proposed system has two detectors-one at the bus station and the other at the near-by bus-and it has a database and a website. By using the bus detector subsystem, it is easy to detect and announce the names of near-by bus stations through a voice message inside the bus. This bus subsystem senses any blind person within the radius of the station and so informs the driver of a person's presence. The bus station subsystem senses the incoming buses and announces them to the blind people at the station. A full prototype of the system has been constructed and tested to confirm its working. The outcomes show promise in terms of cost-effectiveness, functionality, and safety
Virulence of Local Isolates of The Entomopathogenic Fungus Beauveria bassiana on Egg and Adult Stages of Tomato Leaf Miner, Tuta absoluta
Authors:   Plant Protection Department, Faculty of Agriculture, Tishreen University, Latakia, Syria, Haj Hasan Amal , Ahmad Mohamad ,   Plant Protection Department, Faculty of Agriculture, Tishreen University, Latakia, Syria;, Hammoudi Omar ,   General Authority for Scientific Agricultural Research, Syria, Mofleh Mageda ,   General Authority for Scientific Agricultural Research, Syria
Published: September 2024

Hasan, A.H., M. Ahmad, O. Hamoudi and M. Moufleh. 2024. Virulence of Local Isolates of The Entomopathogenic Fungus Beauveria bassiana on Egg and Adult Stages of Tomato Leaf Miner, Tuta absoluta. Arab Journal of Plant Protection, 42(3): 340-348. https://doi.org/10.22268/AJPP-001252 The efficacy of four local isolates of the entomopathogenic fungus Beauveria bassiana (Ascomycota: Hypocreales), (b6 isolated from citrus orchard soil (Harisoon), b7 from greenhouse soil (Alkhrab), b8 from palm weevil pupae (Lattakia) and b10 from olive orchard soil (Mengella), were tested on the egg and adult stages of the tomato leafminer Tuta absoluta by direct spraying for each stage with three different concentrations of fungal spore suspensions 2×104 , 2×106 and 2×108 spores/ml. The results obtained showed that both insect stages were very sensitive to fungal infection to varying degrees and there were significant differences in the hatching rate and adult mortality rate caused by the four isolates in comparison with the control treatment. The b8 and b10 isolates were the most effective on both insect stages at all concentrations tested. Corrected mortality rates at the highest concentration (2×108 spore/ml) were 82.59% for b8 isolate and 86.30% for b10 isolate on eggs and LC50 was 1×106 spores/ml for b8 isolate and 8×105 spores/ml for b10 isolate, whereas the corrected mortality rate for both were 100% on adults, 8 days after treatment, and by using the highest spore concentration. The LT50 was 3.2 days for both isolates and the LC50 was 2×104 spores/ml for b8 isolate and 1×105 spores/ml for b10 isolate under laboratory conditions. Keywords: Biological control, Beauveria bassiana, Tuta absoluta, mortality, LT50, LC50