Evaluasi Shift Kerja dan Penentuan Waktu Standar PT X Berdasarkan Beban Kerja by Trisna Mesra, Lusi Susanti, Hilma Raimona Zadry

“…Time standard was determined by observing and taking data of   40 bagging cycles for each shift work. …”
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Optimizing peanut vine-inversion operations via intelligent control and semantic segmentation by Haiyang Shen, Man Gu, Hongguang Yang, Jie Ling, Lili Shi, Feng Wu, Fengwei Gu, Jiazhuang Tan, Zhichao Hu

“…In this system, the inversion rate derived from the semantic segmentation is used as a feedback signal to dynamically adjust the speeds of the conveyor belt and inversion roller in real time, thereby achieving closed‑loop control of the inversion process. …”
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Non-Destructive Early Detection of Drosophila Suzukii Infestation in Sweet Cherries (c.v. <i>Sweet Heart</i>) Based on Innovative Management of Spectrophotometric Multilinear Corre... by Giuseppe Altieri, Mahdi Rashvand Avaei, Attilio Matera, Francesco Genovese, Vincenzo Verrastro, Naouel Admane, Orkhan Mammadov, Sabina Laveglia, Giovanni Carlo Di Renzo

“…To model the data fit/prediction, principal components regression and partial least squares regression algorithms were considered. …”
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Central line-associated bloodstream infection trend in Brazilian adult intensive care units: an ecological study by Alexsandra Gomes Resende de Souza da Silva, Sergiane Bisinoto Alves, Elisângela Eurípedes Resende Guimarães, Jessyca Rodrigues Braga, Heliny Carneiro Cunha Neves, Silvana de Lima Vieira dos Santos, Maria Auxiliadora Carmo Moreira

“…Central line-associated bloodstream infections notifications were collected from two databases, the Municipal Coordination for Patient Safety and Infection Control at Healthcare Services, from 2012-2016, and the FormSUS (National Health System Data Processing Company), from 2014-2016. Results: The incidence of central line-associated bloodstream infections was high and stationary in the period (incidence rate of 2.3 to 3.2 per 1,000 catheter days, central venous catheter utilization ratio average 56,9%). …”
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REGIONAL DEVELOPMENT IN ROMANIA. A BRIEF STATISTICS ON SOCIO-ECONOMIC DIFFERENCES-A MULTI-CRITERIAL APPROACH by Agatha POPESCU, Toma Adrian DINU, Elena STOIAN, Valentin ŞERBAN, Mirela STANCIU

“…The highest average monthly income, expenditures and savings rate per household is in Bucharest Ilfov, North West, Center and West. …”
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Downhole Pressure Pulse Signal Recognition Based on SSA-CNN-LSTM by JIANG Panqin, LIU Xingbin, JIANG Zhicheng, LI Shanwen, HE Zhuang

“…The experimental results show that through the mechanisms of spatio-temporal feature fusion and parameter adaptive optimization, this model effectively suppresses the accuracy degradation of pressure pulse prediction caused by downhole unsteady-state interference, provides a highly robust signal processing solution for the wireless transmission scenarios of intelligent water injection systems, verifies the technical feasibility of analyzing industrial time-series data under complex working conditions, and provides theoretical support for the real-time monitoring and precise control of downhole intelligent equipment.…”
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Effects of Aromatherapy Using Lavender Oil on Hemodynamic Indices After Coronary Artery Bypass Graft Surgery by Samaneh Ebrahimi Hosein Abadi, Ezzat Paryad, Atefeh Ghanbari Khanghah, Ardalan Pasdaran, Ehsan Kazem Nezhad Leyli, Ali Mohammad Sadeghi Meibodi

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Substitution of physical activity for sedentary behaviour contributes to executive function improvement among young adults: a longitudinal study by Jianxiu Liu, Mengxian Wei, Xingtian Li, Alimjan ablitip, Shiqi Zhang, Hao Ding, Kefeng Zheng, Ruidong Liu, Xindong Ma

“…Results The reallocation of 30 min of daily time from sedentary behaviour (SED) to light physical activity (LPA) significantly reduced Trail Making Test (TMT) completion times, suggesting improvements in cognitive processing speed. Conversely, shifting the same duration from SED to moderate-to-vigorous physical activity (MVPA) enhanced the accuracy rate on the TMT. …”
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An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform by Luca Gerevini, Gianni Cerro, Alessandro Bria, Claudio Marrocco, Luigi Ferrigno, Michele Vitelli, Andrea Ria, Mario Molinara

“…Accordingly, an End-to-End IoT-ready node for the sensing, local processing, and transmission of the data collected on the pollutants in the wastewater is presented here. …”
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Examine frameworks policies and strategies for effective information governance in healthcare organizations. by Richard Okyere Boadu, Victor Wireko Adu, Kwame Adu Okyere Boadu, Baishatu Ibrahim, Prince Akey, Amponsah Amishadas Mensah, Godwin Adzakpah, Nathan Kumasenu Mensah

“…<h4>Results</h4>The level of understanding of data stewardship (2.87/4.0), familiarity with concepts of data quality (2.73/5.0) and ethical considerations and privacy (3.13/5.0) when dealing with patient health data were found to be varied among the professionals, overall rated as moderate and affirming the need for improvement. …”
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Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning by Mohd Anjum, Naoufel Kraiem, Hong Min, Ashit Kumar Dutta, Yousef Ibrahim Daradkeh, Sana Shahab

“…The OACS decreases false rates by 10.64%, processing time by 15.62%, and failure rates by 10.95%.…”
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Transfer deep learning and explainable AI framework for brain tumor and Alzheimer's detection across multiple datasets by Shtwai Alsubai, Stephen Ojo, Thomas I. Nathaniel, Mohamed Ayari, Jamel Baili, Ahmad Almadhor, Abdullah Al Hejaili

“…The proposed method utilizes a hybrid CNN-VGG16 model, which leverages pre-trained features from the VGG16 architecture to enhance classification performance across three distinct MRI datasets: brain tumor classification, Alzheimer's disease detection, and a third dataset of brain tumors. A comprehensive preprocessing pipeline ensures optimal input quality and variability, including image normalization, resizing, and data augmentation.ResultsThe model achieves accuracy rates of 94% on the brain tumor dataset, 81% on the augmented Alzheimer dataset, and 93% on the third dataset, underscoring its capability to differentiate various neurological conditions. …”
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Prediction of Auditory Performance in Cochlear Implants Using Machine Learning Methods: A Systematic Review by Beyza Demirtaş Yılmaz

“…It was observed that Random Forest, Decision Trees (96%), Bayesian Linear Regression (96.2%) and Extreme machine learning (99%) algorithms reached high accuracy rates. <b>Conclusions:</b> In cochlear implantation applications in the field of audiology, it has been observed that studies have been carried out with a variable number of people and data sets in different subfields. …”
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Identifying Key References and International Trends in Transparency: A Scientometric Analysis of Scientific Productions over the Last Decade by Yousef Abedi, Nader Naghshineh, Mohammad Reza Vasfi

“…Queries were formulated based on a combination of Title, Author Keywords, and Keyword Plus, refined by the research area of economics, spanning the years 2013 to 2022. Data processing, analysis, and visualization followed scientometric principles, techniques, and concepts. …”
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Mapping of natural radioactivity in soil samples of Badra oil field project using GIS program by Sa'ad R. Yousif, Ali Abid Abojassim, Anes Hayder

“…Also, the radiological risk data were calculated for all samples in this study. …”
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Optimizing an LSTM Self-Attention Architecture for Portuguese Sentiment Analysis Using a Genetic Algorithm by Daniel Parada, Alexandre Branco, Marcos Silva, Fábio Mendonça, Sheikh Mostafa, Fernando Morgado-Dias

“…To address this complexity, a discrete genetic algorithm was used to find an optimal configuration, selecting the layer types, placement of self-attention, dropout rate, and model dimensions and shape. A key outcome of this study was that the optimization process produced a model that is competitive with a Bidirectional Encoder Representation from Transformers (BERT) model retrained for Portuguese, which was used as the baseline. …”
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The educational program supported by the exercise (Integrated - massed) and its effect on learning the skill of (controlling the ball) in soccer game by م.د. علي عبد العليم محمد

“…The researcher used the statistical package (SPSS) in data processing and reached several conclusions, including the superiority over the skillful performance of the skill of control and soccer ball control when compared to the post-test. …”
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Analysis of the Structure and Dynamics of Gynecological Morbidity and Extragenital Pathology in Rural Women by K. D. Chelovechkova, A. Yu. Zherbakov, A. E. Komarova, R. S. Manueva

“…The analysis of the structure and dynamics of gynecological morbidity in women (n = 1044), and of extragenital pathology in pregnant women (n = 1314) was carried out in the Regional Hospital N 2 of the UstOrdynsky settlement in 2015–2019. Statistical data processing was carried out using standard  techniques.Results. …”
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Improving Railway Track Detection With a Mixed-Modality Deep Learning Approach by Wichian Ooppakaew, Jakkrit Onshaunjit, Saifun Khrueakhrai, Jakkree Srinonchat

“…Artificial intelligence&#x2019;s capacity to swiftly and precisely analyze data enables systems to react to possible dangers promptly. …”
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Light Energy Driven Nanocommunications With FRET in Photosynthetic Systems by Aleksandra Orzechowska, Joanna Fiedor, Pawel Kulakowski

“…These results indicate a high potential of photosynthetic systems for nanocommunications and other related applications, due to suitable energetic characteristics in terms of energy harvesting abilities and low consumption for data transmissions.…”
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