Evaluating the Effectiveness of the Cerdas App and its Interventions in Addressing Mental Health Issues (Depression, Anxiety, and Stress) Among Adolescents by Nenty Septiana, Suci Zahratul Liza, Nurul Kamaly

“…Background: Adolescent mental health issues are on the rise, posing significant concerns due to their impact on learning effectiveness and the need for focused attention. …”
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PERSEPSI GURU KIMIA DI KALIMANTAN BARAT TERHADAP PENGGUNAAN SOCIO SCIENTIFIC ISSUES (SSI) DALAM PEMBELAJARAN KIMIA by Saninah Widad, Sri Rahayu*, Munzil Munzil

“…This research aims to investigate the perceptions and experiences of chemistry teachers in West Kalimantan regarding the use of socio-scientific issues (SSI) in teaching. The research design employs a survey method with a participant sample of 30 teachers.. …”
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Health and social impacts of California wildfires and the deficiencies in current recovery resources: An exploratory qualitative study of systems-level issues. by Annie Rosenthal, Eric Stover, Rohini J Haar

“…Participants were asked about three common, overarching themes that fire-impacted communities navigate post-disaster: health issues, social issues, and response and recovery resources. …”
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PROJECT PREVENT: a randomized controlled trial of preoperative vaginal metronidazole to decrease patient issues and infections after hysterectomy by Tana Pradhan, Helen Zhang, Amanda Kadesh, Ama Buskwofie, Sonali Patankar, Sharifa Menon, Timothy Ryntz, Cara L. Grimes

“…Sample size calculation was based on a 20% difference in issues and infection (30% incidence and 10% in the intervention arm) with 80% power and an alpha error of 0.05 and indicated 62 subjects needed in each arm.Setting Outpatient gynecology clinics at a single academic institution.Participants 154 subjects were screened for eligibility between July 2020 and September 2022. 133 underwent hysterectomy including 68 subjects (51.1%) randomized to the metronidazole and 65 (48.9%) controls. …”
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THE USE OF STATISTICAL PARAMETRIC TESTS IN ORDER TO ANALYZE ECONOMIC DATA by ANA-PETRINA PĂUN, CODRUŢA DURA

“…The paper deals with the issue of establishing the most adequate statistical parametric test in order analyze economic sets of data. …”
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INFLUENCE OF CLIENT RELATIONS ON THE VALUE OF COMPANY INTELLECTUAL CAPITAL by NICOLETA RADNEANTU, CRISTIAN BANACU

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Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images by Zhuting Tan, Zhengyu Tan, Juhua Luo, Hongtao Duan

“…Challenges still exist in the extraction of cotton areas for long time series with high accuracy. To address this issue, a novel cotton sample selection method was proposed and the machine learning method is employed to effectively identify the long time series cotton planting areas at a 30-m resolution scale. …”
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Attitudes of Japanese physicians not specializing in care toward people living with HIV and their care by Taketoshi Okita, Yosuke Inamoto, Keiko Yokota, Chiaki Kageyama, Jugo Hanai, Masazumi Yamaguchi, Takuma Shirasaka

“…Abstract Background Although Japan has successfully mitigated HIV infections, several issues related to the disease remain to be addressed. …”
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Attachment beyond the mother: Investigating the paternal role in building adolescents’ adversity quotient in urban Indonesian high schools by Aisyah Pramudita, Melly Latifah, Yulina Eva Riany

“…This study used a quantitative approach with an explanatory method, as many as 398 high school student in Bogor City were sampled used random sampling, 398 respondent from 4 different high school were taken as sample (2 SMAN and 2 SMAS). …”
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Effect of household use of butane gas on deforestation in Burkina Faso by Moulirou Belem, Tibi Didier Zoungrana

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A Clinical Study to Assess the Quality of Dental Intraoral Periapical Radiological Reports by Ashvin K. Mangat, Sumitra Segahran, Tan Siew Wei, Geetha Nalairndran, Anna Rani Kanagarajah, Phrabhakaran Nambiar

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A proof-of-concept methodology for identifying topical scientific issues in new publications whose citations have not yet been established by B. N. Chigarev

“…Identification of topical research issues using bibliometric data is complicated by the fact that the citation of publications from recent years has not yet been formed. …”
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Comparative Analysis of Digital Transcriptomics Between Pre- and Post-Treatment Samples of Patients with Locally Advanced Cervical Cancer: A Preliminary Study by Sunhwa Baek, Fabian Dominik Mairinger, Sabrina Borchert, Yue Zhao, Dominik Ratiu, Peter Konrad Mallmann, Henryk Pilch, Ka-Won Noh

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AD-VAE: Adversarial Disentangling Variational Autoencoder by Adson Silva, Ricardo Farias

“…To address these issues, we propose a novel framework called AD-VAE, specifically for SSPP FR, using a combination of variational autoencoder (VAE) and Generative Adversarial Network (GAN) techniques. …”
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Is the KKondae as a common psychological construct? Testing the KKondae scale with the U.S. sample, and the preliminary study of predictors and consequences of Kkondae by Jiyeon Lee, Dongwoo Ko, Hyoung-yong Choi

“…Conclusions Interpersonal communication issues are critical in increasing loneliness. This study adds a new dimension to loneliness research by linking the concept of kkondae with anxiety.…”
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A hepatitis B virus (HBV) sequence variation graph improves alignment and sample-specific consensus sequence construction. by Dylan Duchen, Steven J Clipman, Candelaria Vergara, Chloe L Thio, David L Thomas, Priya Duggal, Genevieve L Wojcik

“…Using simulated short-read sequencing data generated from publicly available HBV genomes and real sequencing data from an individual living with CHB, we demonstrate alignment to a phylogenetically representative 'genome graph' can improve alignment, avoid issues of reference ambiguity, and facilitate the construction of sample-specific consensus sequences more genetically similar to the individual's infection. …”
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A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling by Nastaran Gholizadeh, Petr Musilek

“…Conventional DNR algorithms rely on accurate values of network parameters and lack scalability and optimality. To tackle these issues, a new data-driven algorithm based on reinforcement learning is developed for DNR in this paper. …”
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Contamination Levels and Identification of Bacteria in Milk Sampled from Three Regions of Tanzania: Evidence from Literature and Laboratory Analyses by G. Msalya

“…The aim of this study was to assess nutritional risks in milk as reported in literature over a period of 20 years and through analyses of samples collected during the present study. The issues highlighted in literature were high bacteria and coliform counts exceeding standard levels in East Africa, prevalence of bacteria and drug residues in milk, and adulteration. …”
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Addressing Sensor Data Heterogeneity and Sample Imbalance: A Transformer-Based Approach for Battery Degradation Prediction in Electric Vehicles by Bi Wu, Shi Qiu, Wenhe Liu

“…Battery health monitoring and remaining useful life (RUL) estimation for electric vehicles face two significant challenges: battery data heterogeneity and sample imbalance. This study presents a novel approach based on Transformer architecture to specifically address these issues. …”
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A Small-Sample Target Detection Method of Side-Scan Sonar Based on CycleGAN and Improved YOLOv8 by Ye Zheng, Jun Yan, Junxia Meng, Ming Liang

“…However, the complexity of the marine environment and the difficulty in target acquisition limit the detection accuracy of side-scan sonars. To address these issues, this study proposes a small-sample target detection method of side-scan sonar images using the Cycle-Consistent Generative Adversarial Network (CycleGAN) model and the improved YOLOv8 model. …”
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