Long Short-Term Memory Networks and Bayesian Optimization for Predicting the Time-Weighted Average Pressure of Shield Supporting Cycles by Wanzi Yan, Junhui Wang, Jingyi Cheng, Zhijun Wan, Keke Xing, Kuidong Gao

“…Despite the leap-forward development of underground data collection and transmission, mining and regional correlation analysis of massive shield data remains challenging. …”
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Impact of Human Resource Development Practices on Employee Performance in Ghana's Community Banking Sector by Emmanuel Erastus YAMOAH, Bernice AMOAKO

“…Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis was then employed to analyze the collected data. …”
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Development and validation of clinical prediction models for breast cancer incidence and mortality: a protocol for a dual cohort study by Stavros Petrou, Julia Hippisley-Cox, David Dodwell, Simon Lord, Ashley Kieran Clift, Mike Brady, Gary S. Collins

“…Risk prediction models may be useful to guide risk-reducing interventions (such as pharmacological agents) in women at increased risk or inform screening strategies for early detection methods such as screening.Methods and analysis The study will use data for women aged 20–90 years between 2000 and 2020 from QResearch linked at the individual level to hospital episodes, cancer registry and death registry data. …”
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Non-native English-speaking seafarers – an investigation into communicational challenges and consequent on high retention rates by Alaa Abdelbarry, Soha Heikal, Ahmed Swidan, Mohamed Khattab, Shadi Alghaffari

“…These insights guide the selection of participants for subsequent qualitative semi-structured interviews with seafarers and maritime employers. The qualitative data is analyzed utilizing a commercial NVivo software, focusing on thematic coding and correlation analysis.…”
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Thermal Footprint of the Urbanization Process: Analyzing the Heat Effects of the Urbanization Index (UI) on the Local Climate Zone (LCZ) and Land Surface Temperature (LST) over Two... by Nadia Falah, Jaime Solis-Guzman, Nahid Falah

“…A comprehensive methodology that integrates statistical analysis, data visualization, machine learning, and advanced techniques, such as remote sensing technology and geospatial analysis systems, is employed. …”
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Insider threat detection for specific threat scenarios by Tian Tian, Chen Zhang, Bo Jiang, Huamin Feng, Zhigang Lu

“…Compared to the best results among the baseline methods, it shows an improvement in accuracy of approximately 2% for privilege abuse, 5% for identity theft, and 2% for data leakage.…”
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Interdisciplinary communicative competence: From conceptualising to operationalising by T. A. Martynova, E. V. Gilenko, E. M. Kitaeva, V. A. Bondar, E. V. Orlova, N. P. Drozdova, V. I. Cherenkov

“…The proposed framework was empirically tested using an online survey with 139 responses from professors, students, and employers. The data processing techniques included the use of Kendall’s concordance coefficient, Cronbach’s alpha, and the principal component analysis.Results. …”
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Neuroimaging informatics framework for analyzing rare brain metastasis patterns in pleural mesothelioma using hybrid PET CT by Sumit Kumar Agrawal, Indra Prakash Dubey, Anoop Kumar Nair, Anurag Jain, Abhishek Mahato, Rajeev Kumar

“…To assist thorough case analysis, a clinical informatics layer links imaging results with patient demographics, histopathology data, and treatment history. …”
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Challenges of online teaching and adaptation strategies among Iranian female teachers during the COVID-19 pandemic: a qualitative study by Javad Yoosefi lebni, Seyed Fahim Irandoost, Mandana Saki, Masoud Behzadifar, Ahmad Ahmadi

“…Data analysis was carried out using the Colaizzi approach in MAXQDA-2018 software, and the Guba and Lincoln criteria were used to improve the quality of the findings. …”
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DVF-NET: Bi-Temporal Remote Sensing Image Registration Network Based on Displacement Vector Field Fusion by Mingliang Xue, Yiming Zhang, Shucai Jia, Chong Cao, Lin Feng, Wanquan Liu

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Application of Multiple Unsupervised Models to Validate Clusters Robustness in Characterizing Smallholder Dairy Farmers by Devotha G. Nyambo, Edith T. Luhanga, Zaipuna O. Yonah, Fidalis D. N. Mujibi

“…Data were collected from 8179 smallholder dairy farms in Ethiopia and Tanzania. …”
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Synchronising English second language proficiency and mathematical understanding through plurilingualism in correctional centre classrooms: Empirical perspectives by Siphelele Mbatha, Xolani Khohliso, Sboniso Zondi, Nompumelelo Nzimande

“…We analysed data thematically and by SPSS data analysis tool, through Pearson Correlation. …”
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A systematic review of medication non-adherence in persons with dementia or cognitive impairment. by Daisy Smith, Janaka Lovell, Carolina Weller, Briohny Kennedy, Margaret Winbolt, Carmel Young, Joseph Ibrahim

“…Papers reporting adherence to treatments in cognitively intact populations, populations from hospital or institutional settings, for non-prescribed medication or those describing dementia as a factor predicting medication non-adherence were excluded. Data on study and population characteristics, research design, data sources and analysis, specific cognitive domains, non-adherence prevalence, measurement of adherence, salient findings, factors associated with adherence and strategies to improve medication adherence were extracted. …”
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ngx-mol-viewers: Angular components for interactive molecular visualization in bioinformatics by Damiano Clementel, Damiano Clementel, Alessio Del Conte, Alexander Miguel Monzon, Silvio C. E. Tosatto, Silvio C. E. Tosatto

“…Advancements in bioinformatics have been propelled by technologies like machine learning and have resulted in substantial increases in data generated from both empirical observations and computational models. …”
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A BERT-MRC-based method for key entity recognition in power grid field operation texts by FEI Zhengming, YUAN Kewei, HUANG Hongyang, ZHANG Yixiang, YIN Fan, ZHOU Hui, LUO Huafeng

“…Finally， a few-short learning （FSL） method based on the Noisy Student is applied to iteratively train the model， greatly reducing the reliance on labeled data. …”
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The Impact of Domain Shift on Predicting Perceived Sleep Quality from Wearables by Nouran Abdalazim, Leonardo Alchieri, Lidia Alecci, Pietro Barbiero, Silvia Santini

“…<i>To this end, we also collect and make available to the research community the new BiheartS dataset</i>. Our analysis shows <i>that</i> domain shift <i>causes the</i> accuracy of population models <i>to decrease</i> by up to 18.54 percentage points, when <i>used</i> on <i>new data</i>. …”
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A qualitative study of pharmacists’ perceptions and awareness of homoeopathic medicines in Durban, South Africa by Nokuthula H. Mavela, Ingrid M.S. Couchman, Themba Mgwaba, Celenkosini T. Nxumalo

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Color Night-Light Remote Sensing Image Fusion With Two-Branch Convolutional Neural Network by Jie Wang, Yanling Lu, Yuefeng Wang, Jianwu Jiang

“…Second, in the built-up area extraction experiment, CNLRSI better identifies the true morphology of urban built-up areas compared with NPP&#x002F;VIIRS data, reducing the overestimation of central urban areas and the underestimation of suburban areas in NPP&#x002F;VIIRS data. …”
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Anomaly Detection Dataset for Industrial Control Systems by Alireza Dehlaghi-Ghadim, Mahshid Helali Moghadam, Ali Balador, Hans Hansson

“…The paper describes the methodology used to collect and label the dataset and provides a detailed data analysis. Finally, we implement several ML models, including the decision tree, random forest, and artificial neural network to detect anomalies and attacks, demonstrating that our dataset can be used effectively for training intrusion detection ML models.…”
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Impact of Social Classes on Academic Performance of Pupils in Public Primary Schools in Kabale District. by Ampeire, Justus

“…The study employed both quantitative and qualitative methods for data collection and analysis. Quantitative data was analyzed using statistics and numerical tools to ensure objectivity, while qualitative data generated concepts and strategies. …”
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