Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model - a study in Eastern China by Xiaofeng Fan, Liwei Chen, Wei Tang, Lixia Sun, Jie Wang, Shuhan Liu, Sirui Wang, Kaijie Li, Mingwei Wang, Yongran Cheng, Lili Dai

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Medication use in the neonatal intensive care unit in a tertiary hospital in China from 2020 to 2023 by Yi Wang, Linhong Song, Yanhua Wang, Jun Li, Yuanyuan Xie, Lei Yan, Huixia Zhou, Siqi Hu

“…Conclusions Our retrospective study will not only help identify and evaluate interventions to reduce medication errors but also aid healthcare systems and providers in understanding, implementing, and enhancing these interventions to improve the safety and quality of care for newborns. …”
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Predictive modeling of burnout dimensions based on basic socio-economic determinants in health service managers and support personnel in a resource-limited health center by Grey Castro-Tamayo, Mario Hernandez-Tapia, Ivan David Lozada-Martinez, Ivan Portnoy, Jessica Manosalva-Sandoval, Tobías Parodi-Camaño

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Urbanization, growth, and carbon footprints: A GCC perspective on sustainable development by Ebrahim Abbas Abdullah Abbas Amer, Zhang Xiuwu, Ebrahim Mohammed Ali Meyad, Mohammed Muneer Alareqi, Sameer M.H. Bather, Amr Abdelwahed

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Validation of the Persian version of the summary of diabetes self-care activities scale (SDSCA) in pregnant women with gestational diabetes mellitus using a COSMIN methodology by Mahsa Maghalian, Mohammad Asghari Jafarabadi, Fatemeh Abbasalizadeh, Sakineh Mohammad-Alizadeh-Charandabi, Solmaz Ghanbari-Homaie, Mojgan Mirghafourvand

“…Following COSMIN guidelines, the instrument was translated into Persian, and its psychometric properties were assessed, including content validity, face validity, construct validity, internal consistency, test-retest reliability, measurement error, responsiveness, and interpretability. Floor and ceiling effects were also examined. …”
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Neural network-based snow depth retrieval from AMSR-2 brightness temperatures using ICESat-2 measurement as ground truth by Sunny Sun-Mack, Yongxiang Hu, Xiaomei Lu, Yan Chen, Ali Omar

“…The approach enables daily, long-term monitoring of snow depth over Arctic sea ice, offering significant benefits for climate research and operational applications such as snowstorm and blizzard monitoring.…”
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HIL co-simulation of an optimal hybrid fractional-order type-2 fuzzy PID regulator based on dSPACE for quadruple tank system by Faycal Medjili, Abderrahmen Bouguerra, Mohamed Ladjal, Badreddine Babes, Enas Ali, Sherif S. M. Ghoneim, Dessalegn Bitew Aeggegn, Ahmed B. Abou Sharaf

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Continuous Estimation of Blood Pressure by Utilizing Seismocardiogram Signal Features in Relation to Electrocardiogram by Aleksandra Zienkiewicz, Vesa Korhonen, Vesa Kiviniemi, Teemu Myllylä

“…In the intrasubject testing of the second-degree model extended with HR based on PEP_IM values, the mean error of MAP estimation in three follow-up measurements was in the range of 7.5 to 10.5 mmHg, without recalibration. …”
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Chronic Kidney Disease Prediction Based On Machine Learning Algorithms by Kethineni Likitha., Nithinchandra, Kumar Narendra, Sk Sajida Sultana.

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Temporal stability of a new 40-year daily AVHRR land surface temperature dataset for the pan-Arctic region by S. Dupuis, S. Dupuis, F.-M. Göttsche, S. Wunderle, S. Wunderle

“…<p>Land surface temperature (LST) has gained increased attention in cryospheric research. While various global satellite LST products are available, none of them is specially designed for the pan-Arctic region. …”
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USE OF TRIANGULAR MODELS OF NON-STATIONARY PROCESSES IN MODELING VARIABILITY OF HEART RHYTHM by Olena Akhiiezer, Olha Dunaievska, Mykhailo Shyshkin, Olha Butova, Anton Rohovyi

“…Methods of mathematical statistics, simulation modeling, theory of random processes and control theory are used in this work. Results of this research are as follows: 1) It has been shown that the new approach to the description of the HRV as a random process in the application of the triangular model in the Hilbert space made it possible to obtain expressions for the correlation function. 2) The imitation simulation showed the sensitivity of the method within the 5% error rate under the conditions of different types of influence on HRV. …”
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Evaluating Supervised Learning Classifier Performance for OFDM Communication in AWGN-Impacted Systems by Lavanya Vaishnavi D A, Anil Kumar C

“…The evolution of various communication and needs in the everyday usage has fetched an avenue for the major researchers to evaluate and enhance the quality of communication for efficient data delivery with seamless boundaries even through noisy communication channels. …”
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Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans by Faezeh Yousefi, Ali Heidari, Azita Ehsani, Maryam Farhadian, Marzieh Ehsani

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Circular RNA circFat3 as a biomarker for construction of postmortem interval Estimation models in mouse brain tissues at multiple temperatures by Binghui Song, Jiewen Fu, Jingliang Cheng, Sawitree Chiampanichayakul, Songyot Anuchapreeda, Junjiang Fu

“…CircRNAs may serve as ideal PMI biomarkers. However, no research has explored PMI estimation in the brain using circRNAs. …”
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Continuous and funnel-gate configurations of a permeable reactive barrier for reclamation of groundwater laden with tetracycline: experimental and simulation approaches by Ayad A.H. Faisal, Layla Abdulkareem Mokif, Waqed H. Hassan, Radhi AlZubaidi, Saeed Al Marri, Khalid Hashim, Mohammad Amir Khan, Osamah J. Al-sareji

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Ensuring Satellite Operational Integrity: A Power Budget Analysis for Next Generation Satellites by Atif Mahmood, Ayman Muhammad Abdallah, Bazilah Binti Baharom, Asia Saeed Kajo Habilah

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Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean by Vladimir Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler

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A Data-Driven-Based High Impedance Fault Location Method Considering Traveling Waves in Branched Distribution Networks by Eren Baharozu, Suat Ilhan, Gurkan Soykan

“…The results show that the proposed method is promising, with a high accuracy for determining faulty section and a low error ratio for fault distance calculations.…”
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Primary Frequency Regulation Modeling of Deep Peak Regulation Unit Based on Improved Group Optimization Algorithm by Guoqiang YU, Xiaobo CUI, Yiyue SHI, Keyi TANG, Tianhai ZHANG

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Large-scale combinatorial optical barcoding of cells with laser particles by Nicola Martino, Hao Yan, Geoffrey Abbott, Marissa Fahlberg, Sarah Forward, Kwon-Hyeon Kim, Yue Wu, Han Zhu, Sheldon J. J. Kwok, Seok-Hyun Yun

“…We introduce a theoretical framework for estimating the number of LPs required for unique barcodes and the expected identification error rate. Additionally, we present an improved LP-tagging method that is highly effective across a variety of cell types and evaluate its biocompatibility. …”
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