Exploring The Rice Supply Chain in Semarang City : An Educational Game Concept by Inaya Sari Melati, Nana Kariada Tri Martuti, Wahid Akhsin Budi Nur Shidiq

“…The study employs a qualitative approach, using interactive model to integrate case study analysis and educational game development. Data collection involves semi-structured interviews with key stakeholders and field visits, while thematic and comparative analyses are used to evaluate supply chain dynamics. …”
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How Digital Transformation Shapes Corporate R&D Expenditure: An Exploration of Multidimensional Perspectives and Innovation Consequences by Tingqian Pu

“…This study addresses this gap by employing machine learning-based text analysis on 27,163 observations of Chinese A-share listed firms from 2012 to 2021. …”
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Sharp Increase in rapid intensification of Arabian Sea tropical cyclones over the past decade by Xiaojing Li, Yi Li, Youmin Tang

“…Machine learning analysis identifies rising sea surface temperatures and enhanced 850 hPa vorticity as key factors behind this surge. …”
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Design and Construction of Simple Periscope. by Nuwahereza, Emmanuel

“…The results revealed that the periscope effectively achieved its objective, with the angle of the mirrors within the periscope directly impacting the clarity and range of visibility. Statistical analysis was conducted to analyze the data collected during testing, and the findings support the hypothesis that a periscope, designed with consideration to the laws of reflection, can provide clear visibility of objects beyond the direct line of sight. …”
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Design and Construction of Simple Periscope. by Nuwahereza, Emmanuel

“…The results revealed that the periscope effectively achieved its objective, with the angle of the mirrors within the periscope directly impacting the clarity and range of visibility. Statistical analysis was conducted to analyze the data collected during testing, and the findings support the hypothesis that a periscope, designed with consideration of the laws of reflection, can provide clear visibility of objects beyond the direct line of sight. …”
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Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP by Zeying Wen, Xiaohe Gao, Qingxia Wu, Jianwei Yang, Jian Sun, Keliu Wu, Hongfei Zhao, Ruihua Wang, Yanmei Li

“…Methods This study retrospectively analyzed data from 97 patients with FL diagnosed via histopathological examination between July 2012 and November 2023. …”
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Instructional design of smart technology use in teacher digital educational environment by G. B. Sarzhanova, R. S. Bobesh, G. Zh. Smagulova, A. Turkel, N. B. Serikbayeva

“…The following categories of research methods were used to reach the goal set: 1) theoretical: cybernetics method, generalisation, analogy, abstraction, visualisation, modelling, and classification; 2) empirical: surveys and interviews techniques, as well as mathematical and statistical data analysis approaches. During the experimental part of the study an online questionnaire survey on “Implementation of smart technologies in designing a teacher personal digital educational environment in the conditions of distance learning at a university” was conducted among 201 teachers of Karaganda Buketov University (Republic of Kazakhstan) and Dokuz Eylul University (Turkey) from 12 December 2022 to 30 April 2023.The aim of the experiment was to identify problems with the adaptation and implementation of smart technologies in designing a digital educational environment. …”
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Sustained effects of bladder point-of-care ultrasound simulation exercise on nursing students: A prospective cohort study by Tomoyoshi Naito, Akiko Hashizumi, Masako Sakai, Emiko Yamamura, Miho Iwase, Kiyomi Yamada, Masako Watanabe, Nobuo Kimura, Takako Kato, Eiko Fujimoto, Rie Kashihara

“…Differences were analyzed using one-way analysis of variance with repeated measures. Results Data from 12 students were analyzed. …”
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Preliminary clinical performance of a Cas13a-based lateral flow assay for detecting Neisseria gonorrhoeae in urine specimens by Lao-Tzu Allan-Blitz, Gordon Adams, Gabriela Sanders, Palak Shah, Krithik Ramesh, Jana Jarolimova, Kevin L. Ard, John A. Branda, Jeffrey D. Klausner, Pardis C. Sabeti, Jacob E. Lemieux

“…The machine-learning model correctly classified 45/45 strips in the validation data set and all 40 lateral flow strips from clinical specimens. …”
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Corn Seed Freezing Damage Identification of Different Sides Based on Hyperspectral Imaging and SPA-2DCOS Fusion Algorithm by Jun Zhang, Limin Dai, Ruiyuan Zhuang

“…In order to improve the utilization efficiency of corn seeds and meet the demand of single-seed seeding technology in agriculture, this study was conducted to explore the effect of freezing damage detection on the endosperm and embryo sides of single corn seeds, based on hyperspectral imaging combined with a feature fusion algorithm and a machine learning method. First, hyperspectral image data of the endosperm and embryo sides of three freezing damage categories of corn seeds were collected, and the average spectra of the endosperm part and embryo part were obtained by threshold segmentation. …”
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A Study on the Spatial Perception and Inclusive Characteristics of Outdoor Activity Spaces in Residential Areas for Diverse Populations from the Perspective of All-Age Friendly Des... by Biao Yin, Lijun Wang, Yuan Xu, Kiang Chye Heng

“…Machine learning methods are utilized to analyze the data, uncovering the differentiated response mechanisms among diverse groups and clarifying the inclusive characteristics of these spaces. …”
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Designing an educational model based on identity development with an Iranian-Islamic approach for primary school students. by Ali Oladhamzehzadeh, masoumeh oladiyan, Mahmoud Safari

“…The open, axial and selective coding and MAXQDA software was used in the data analysis of the qualitative part, and SPSS 16 and Smart PLS software were used in the quantitative part, and the data was analyzed in the inferential analysis using the factor analysis method. …”
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Plasma proteomic signature for preoperative prediction of microvascular invasion in HCC by Xinrui Shi, Yunzheng Zhao, Ke Li, Qingyu Li, Yifeng Cui, Yuhang Sui, Liang Zhao, Haonan Zhou, Yongsheng Yang, Jiajun Li, Meng Zhou, Zhaoyang Lu

“…Plasma proteomic profiling was obtained using data-independent acquisition mass spectrometry. Principal component analysis and differential protein abundance analysis were used to assess the proteomic changes between the two groups of patients. …”
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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…During the learning phase, the model attempts to identify the inherent pattern or the relationship between the dependent variable (financial distress) and each explanatory variable (working capital management components) with the validity of this learning measured by the testing data. …”
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An Enhanced Time-Series-Based Solar Power Forecast for Microgrid System by Tejaswini Thota, Aleena Bosco Kurumthottam, Suvidha Rupesh Kumar, Jyotismita Mishra

“…The analysis in this paper indicates that among all the evaluated models, the ARIMA(1,1,1) rolling window, dynamically retrained using a 30-day sliding window, demonstrates the most consistent and superior performance, surpassing both conventional statistical models and deep learning approaches. …”
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Exploring Students’ Higher Order Thinking Skills (HOTS): Best Practice in 13 Curriculum at Islamic High School in Bengkulu by Riswanto Riswanto

“…The research was descriptive in nature. Techniques of data collection subsumed observation, interviews, and documentation. …”
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Winograd Transform-Based Fast Detection of Heart Disease Using ECG Signals and Chest X-Ray Images by Rishabh Anand, Adyasha Rath, Prabodh Kumar Sahoo, Prince Jain, Ganapati Panda, Xinhong Wang, Haipeng Liu

“…Additionally, the feature extraction and model training times were evaluated and compared. The comparative analysis demonstrates that WT-based feature extraction significantly reduces processing time for both 1-D and 2-D data types. …”
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A study on land use change simulation based on PLUS model and the U-net structure: A case study of Jilin Province by Jiafu Liu, Xiangli Kong, Yue Zhu, Baihao Zhang

“…Deep learning and spatial models are typical paradigms for land cover change simulation, each exhibiting certain differences in representing land use change mechanisms. …”
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Predicting Olive Tree Chlorophyll Fluorescence Using Explainable AI with Sentinel-2 Imagery in Mediterranean Environment by Leonardo Costanza, Beatriz Lorente, Francisco Pedrero Salcedo, Francesco Pasanisi, Vincenzo Giannico, Francesca Ardito, Carlota María Martí Martínez, Simone Pietro Garofalo

“…Additionally, raw reflectance data minimizes potential bias that could arise from selecting specific indices. …”
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Providing Education and Training to Health Care Professionals to Address COVID-19 Health Disparities: Protocol for Implementation Project Using Reach, Effectiveness, Adoption, Impl... by Adati Tarfa, Nada Fadul, Erica Stohs, Jeffrey Wetherhold, Mahelet Kebede, Nuha Mirghani, Muhammad Salman Ashraf

“…The Wilcoxon rank-sum test and Cochran-Armitage trend test will be used to compare pre- and postsurvey responses. Data from semistructured qualitative interviews, which capture insights into participants’ application of ECHO training, will be analyzed using an inductive content analysis approach. …”
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