Integration of Artificial Neural Network Regression and Principal Component Analysis for Indoor Visible Light Positioning by Negasa Berhanu Fite, Getachew Mamo Wegari, Heidi Steendam

“…The advancement of artificial intelligence has brought visible-light positioning (VLP) to the forefront of indoor positioning research, enabling precise localization without additional infrastructure. …”
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Investigating the impact of meteorological parameters on daily soil temperature changes using machine learning models by Farrokh Asadzadeh, Somayeh Emami, Ahmed Elbeltagi, Muhammed Ernur Akiner, Vahid Rezaverdinejad, Farshid Taran, Ali Salem

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Vision impairment and differential access to eye health services in Aotearoa New Zealand: a scoping review by Matire Harwood, Jacqueline Ramke, Joanna Black, Himal Kandel, Jaymie Tingkham Rogers, Ben Wilkinson

“…Closing the evidence gap identified for refractive error, glaucoma and macular degeneration service coverage could be a priority for future research. …”
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Improved lightweight DeepLabV3+ for bare rock extraction from high-resolution UAV imagery by Pengde Lai, Chao Lv, Lv Zhou, Shengxiong Yang, Jiao Xu, Qiulin Dong, Meilin He

“…Meanwhile, the improved model had a parameter count of 6.98 M and a computational complexity of 7.24G, achieving enhanced accuracy while maintaining computational efficiency. The research results can provide accurate bare rock information to support geological hazard monitoring and early warning, and offer new technical solutions for ecological restoration and risk assessment. …”
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Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study by Daiki Shimotori, Kenji Kato, Tatsuya Yoshimi, Izumi Kondo

“…The findings suggest potential clinical applications and research opportunities, including the development of assistive devices and robots, using markerless motion capture in more natural living situations, rather than in controlled environments.…”
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Cultural Adaptation and Psychometric Properties of Long-term Conditions Questionnaire for Patients With Diabetes Mellitus by Raziyeh Iloonkashkooli, Zahra Hadian Shirazi, Mitra Soltanian, Giti Setoodeh, Marziyeh Momennasab

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Intra- and Inter-Examiner Reliability of Kinovea for Hip Flexion Angle Measurement During Straight Leg Raise Test by Gabriel Rabanal-Rodríguez, Marcos José Navarro-Santana, Juan Antonio Valera-Calero, Ana Muñoz-Rodríguez, Elías Hernández-González, Gustavo Plaza-Manzano

“…The accurate and reliable measurement of hip flexion angles during the Straight Leg Raise (SLR) test is essential for clinical and research purposes. Despite the widespread use of motion analysis tools, few studies have examined the reliability of affordable, open-source software 0.9.5 like Kinovea for this application. …”
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Cold climates, complex hydrology: can a land surface model accurately simulate deep percolation? by A. Amani, M.-A. Boucher, A. R. Cabral, V. Vionnet, É. Gaborit

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Development of pharmaceutical care competency framework in Chinese hospital pharmacist: a qualitative study in grade a tertiary hospitals by Wanqing Wang, Yong Wang, Xin Shi, Jianguo Zhu, Rong Chen

“…Besides, the value of root mean square error of approximation is 0.078, and the values of nonnormal fit index, incremental fit index, tucker-lewis index and relative fit index were all greater than 0.8. …”
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AI-Powered Spectral Imaging for Virtual Pathology Staining by Adam Soker, Maya Almagor, Sabine Mai, Yuval Garini

“…The synergy of these two has paved the way for groundbreaking research aiming for advancements in digital pathology. …”
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Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches by Yan Wang, Mohamed A. Elmeligy, Haytham F. Isleem, Asmaa Y. Hamed, Diyar N. Qader, Mohamed Sharaf, Pradeep Jangir, Arpita, Ghanshyam G. Tejani

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Quantifying degradation in animal acoustic signals with the R package baRulho by Marcelo Araya‐Salas, Erin E. Grabarczyk, Marcos Quiroz‐Oliva, Adrián García‐Rodríguez, Alejandro Rico‐Guevara

“…Moreover, the package minimizes the potential for user error through automated test file annotation and verification procedures. …”
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Can ChatGPT Support Clinical Coding Using the ICD-10-CM/PCS? by Bernardo Nascimento Teixeira, Ana Leitão, Generosa Nascimento, Adalberto Campos-Fernandes, Francisco Cercas

“…Introduction: With the growing development and adoption of artificial intelligence in healthcare and across other sectors of society, various user-friendly and engaging tools to support research have emerged, such as chatbots, notably ChatGPT. …”
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Processor-in-the-Loop validation of direct power control based on fractional-order modified super-twisting algorithm for doubly-fed induction generators by Mourad Yessef, Habib Benbouhenni, Ahmed Lagrioui, Nicu Bizon, Badre Bossoufi, Saad F. Al-Gahtani, Z. M. S. Elbarbary

“…The results were analyzed in relation to traditional control strategies and contemporary research findings. The DPC-FOMSTC strategy showed notable decreases in ripples, overshoot, and steady-state error (SSE) for active power (Ps) by around 78.85%, 69.05%, and 36.84%, respectively, when compared to the conventional DPC method. …”
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INFLUENCE OF SOCIAL AND MEDICAL FACTORS ON THE DURATION OF EXCLUSIVE BREASTFEEDING by Л. Мельничук, А. Дячук, О. Макарова

“…In carrying out scientific work, the basic principles of biomedical research are preserved. Statistical analysis was performed using methods of variation statistics, calculating the mean (M) and standard error of the mean (m). …”
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Predicting indoor temperature of solar green house by machine learning algorithms: A comparative analysis and a practical approach by Wenhe Liu, Tao Han, Cong Wang, Feng Zhang, Zhanyang Xu

“…This study focuses on a solar greenhouse located at the experimental base of Shenyang Agricultural University in Shenyang, Liaoning Province, to develop multi-step temperature prediction models based on machine learning algorithms. The research employs five algorithms: Random Forest (RF), Multiple Linear Regression (MLR), Support Vector Regression (SVR), Long Short-Term Memory Recurrent Neural Network (LSTM), and Gated Recurrent Unit (GRU) for temperature prediction. …”
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A New Breast Cancer Discovery Strategy: A Combined Outlier Rejection Technique and an Ensemble Classification Method by Shereen H. Ali, Mohamed Shehata

“…The primary contribution of this research is the novel outlier rejection technique known as the Combined Outlier Rejection Technique (CORT). …”
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Psychometric properties of screening tools for mild cognitive impairment in older adults based on COSMIN guidelines: a systematic review by Shasha Wen, Dongmei Cheng, Nana Zhao, Xinyu Chen, Xianying Lu, Yue Li, Huanle Liu, Jing Gao, Chaoming Hou, Ran Xu

“…The other 26 instruments were class B recommendations, indicating potential for use, although further research is needed to assess their psychometric properties. …”
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Study on Photovoltaic Plant Site Selection Models Based on Geographic and Environmental Features by RAO Zhi, YANG Zaimin, YANG Xiongping, LI Jiaming, YANG Ping, WEI Zhichu

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Trajectory Tracking Control of Unmanned Vehicles via Front-Wheel Driving by Jie Zhou, Can Zhao, Yunpei Chen, Kaibo Shi, Eryang Chen, Ziqi Luo

“…Automated Guided Vehicles (AGVs) are the fastest commercially available application of unmanned driving technology, and the research significance of unmanned vehicle technology remains substantial. …”
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