Factors related to good food-handling practices: a cross-sectional study based on male food handlers in catering establishments by Yujuan Chen, Jiangen Song, Jiajia Dai, Wei Shi

“…A self-compiled questionnaire was used to gather data on the food handlers' demographic characteristics and food-handling practices. …”
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Quantification of the heterogeneity of prognostic cellular biomarkers in ewing sarcoma using automated image and random survival forest analysis. by Claudia Bühnemann, Simon Li, Haiyue Yu, Harriet Branford White, Karl L Schäfer, Antonio Llombart-Bosch, Isidro Machado, Piero Picci, Pancras C W Hogendoorn, Nicholas A Athanasou, J Alison Noble, A Bassim Hassan

“…We further integrate high dimensional data with patient clinical outcomes utilising random survival forest (RSF) machine learning. …”
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Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform by Sara Bagherzadeh, Mohammad Reza Norouzi, Amirhesam Ghasri, Pouya Tolou Kouroshi, Sepideh Bahri Hampa, Fatemeh Farokhshad, Ahmad Shalbaf

“…The experiments employed a pre-trained convolutional neural network, ResNet18, fine-tuned on time–frequency synchrosqueezed wavelet transform (SSWT) images derived from EEG signals. Various data augmentation methods, including image processing techniques and noises, were applied to identify the best model for CCADD. …”
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Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images by K. Lakshmi, Sibi Amaran, G. Subbulakshmi, S. Padmini, Gyanenedra Prasad Joshi, Woong Cho

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InSAR Detection of Slow Ground Deformation: Taking Advantage of Sentinel-1 Time Series Length in Reducing Error Sources by Machel Higgins, Shimon Wdowinski

“…While analytical methods, weather models, and data exist to mitigate tropospheric error, most of these techniques are unsuitable for all InSAR applications (e.g., complex tropospheric mixing in the tropics) or are deficient in spatial or temporal resolution. …”
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Development of heat supply systems for structural subdivisions of JSC “Russian Railways” by S. V. Glukhov, А. V. Kovalenko, S. V. Chicherin

“…Lack of complex study of options development of heat sources with inclusion in investment programs leads systems of heat supply to decrease in efficiency, makes impossible to return investments due to its inclusion in fare rates for production of heat energy. Authors suggest organizing on the basis of the available structures of JSC RZD an expert group which will be engaged in collecting and processing input data, interacting with municipal authorities and regulating organizations for successful modernization of systems of heat supply from boiler units of JSC RZD. …”
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New Perspectives on Lung Cancer Screening and Artificial Intelligence by Leonardo Duranti, Luca Tavecchio, Luigi Rolli, Piergiorgio Solli

“…Early detection is vital for improving patient outcomes; however, survival rates remain low due to late-stage diagnoses. Accumulating data supports the idea that screening methods are useful for improving early diagnosis in high-risk patients. …”
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Advances in Design and Fabrication of Micro-Structured Solid Targets for High-Power Laser-Matter Interaction by Florin Jipa, Laura Ionel, Marian Zamfirescu

“…Besides PIC simulations, the Finite-Difference Time-Domain (FDTD) numerical method offers the possibility to generate the specific data necessary for defining solid target material properties and designing their optical geometries with high accuracy. …”
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A Power Monitor System Cybersecurity Alarm-Tracing Method Based on Knowledge Graph and GCNN by Tianhao Ma, Juan Yu, Binquan Wang, Maosheng Gao, Zhifang Yang, Yajie Li, Mao Fan

“…Most importantly, to mitigate the influence of imbalanced alarms for tracing, a specialized data process and model ensemble strategy by adaptively weighted imbalance sample is proposed. …”
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Automatic Synthesis of Recurrent Neurons for Imitation Learning From CNC Machine Operators by Hoa Thi Nguyen, Roland Olsson, Oystein Haugen

“…Analyzing time series data in industrial settings demands domain knowledge and computer science expertise to develop effective algorithms. …”
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Study on Satisfaction Evaluation of Ecotourism Through Advanced Network Text Mining by Jia Gao, Leong Mow Gooi, Kim Mee Chong, Xiang Lyu, Jin Zhang

“…Text mining was conducted using LSTM to capture and analyze sequential patterns in unstructured feedback data, revealing insights into visitor satisfaction levels over different phases of their trips. …”
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Design of a Methodology to Evaluate the Energy Flexibility of Residential Consumers to Enhance Household Demand Side Management: The Case of a Spanish Municipal Network by Caterina Lamanna, Andrés Ondó Oná-Ayécaba, Lina Montuori, Manuel Alcázar-Ortega, Javier Rodríguez-García

“…Moreover, it pretends to provide guidelines and design of standardized parameters to disaggregate the aggregated energy consumption data of end-users. This step is essential to identify and characterize the primary energy consumption processes in the residential sector, laying the groundwork for future flexibility evaluation. …”
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Identifikasi Nada antara Suling Sunda dan Suling Rekorder dengan Menggunakan Metode Frequency Cpstral Coefficients (MFCC) dan Dynamic Time Warping (DTW) by Fawwaz Muhammad Suryadikarsa, Youllia Indrawaty Nurhasanah, Irma Amelia Dewi

“…Based on results of research, the system can identifies Sundanese flute tones to refine recorders with total accuracy rate of 70% with training data taken from an expert, and the system fails to identify the tone flute Sunda to flute recorder with a total of 30%. …”
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Identification of Key Factors Influencing Teachers’ Self-Perceived AI Literacy: An XGBoost and SHAP-Based Approach by Hyeji Yang, Wongyu Lee, Jamee Kim

“…This study identifies key factors that influence teachers’ self-perceived AI Literacy and evaluates their impact on AI Literacy performance across various teaching phases, using Extreme Gradient Boosting (XGBoost) and Shapley Additive Explanations (SHAP). Data collected from 1172 K-12 teachers in South Korea were preprocessed and then split into an 80:20 training-to-testing ratio. …”
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Novel cultivation techniques for water lily (Nymphaea micrantha Guill. & Perr) production based on in vitro technology by Fei Lin, Yong Kang, Arwa Abdulkreem AL-Huqail, Dikhnah Alshehri, Yamei Li, Yuhua Guo, Guangsui Yang, Fenling Tang, Junmei Yin, Zheli Ding, Mamdouh A. Eissa

“…Disinfection with 75% C2H5OH for 2 min + 0.1% HgCl2 for 15 min produced the best results, with a contamination rate of 30% and a browning rate of 25%, according to the data. …”
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The Monitoring of European Territorial Cooperation Projects in Italy: Critical Aspects and Innovative Solutions by Viviana Russo, Filippo La Vecchia, Agostina Rita Rocca, Simona Trento, Paolo Galletta

“…What it is of absolute interest is the participation rate of Italian partners to ETC projects. In fact, all data presented confirm the great relevance of Italian presence within the cooperation partnerships equal to the 31% of the total number of partners. …”
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Luffa–Ni/Al layered double hydroxide bio-nanocomposite for efficient ibuprofen removal from aqueous solution: Kinetic, equilibrium, thermodynamic studies and GEP modeling by Soheil Tavassoli, Afsaneh Mollahosseini, Saeed Damiri, Mehrshad Samadi

“…To optimize adsorption efficiency, factors such as contact time (Ctime), adsorbent dosage (Ad), drug concentration (Dc), temperature (θ), stirring rate (Sr), and pH were carefully fine-tuned to maximize efficiency. …”
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Development of interactive-based civic education encyclopedia learning media to improve Pancasila student profiles by Nadya Putri Saylendra, Erwin Susanto, MSW Sona Minasya, Fani Kardina, Karna Januar

“…Methods for gathering data using a questionnaire. The employed data analysis techniques include deductive analysis, inductive analysis, reliability testing, validity testing, normalcy testing, homogeneity testing, independent samples mean testing, and hypothesis testing. …”
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Comparative efficacy of acupuncture-related therapy for postmenopausal osteoporosis: protocol for Bayesian network meta-analysis by Shen Lin, Tiantian Xu, Bing Deng, Hongjin Wang, Yunxiang Xu, Guizhen Chen

“…If the data are permissible and feasible, we will also perform meta-regression and subgroup analyses to address the underlying causes of data inconsistency and heterogeneity in the statistical analyses. …”
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Optimized Wireless Sensor Network Architecture for AI-Based Wildfire Detection in Remote Areas by Safiah Almarri, Hur Al Safwan, Shahd Al Qisoom, Soufien Gdaim, Abdelkrim Zitouni

“…The system also integrates artificial intelligence (AI) algorithms (multiclass logistic regression) to process sensor data and predict fire risk levels with 99.97% accuracy, enabling proactive wildfire mitigation. …”
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