Exploring Ultrasound-Induced Changes on Bioactive Content and Color Properties of Sour Cherry Juice Involving Insights From Image Processing Analysis by Nursena Aktı, Semanur Yildiz

“…This study highlights the evaluation of the process-induced changes for better preservation of bioactive content and quality of fruit juices as well as establishes a baseline for evaluating the quality of nonthermally processed fruit juices through computer vision-based techniques.…”
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Height Measurement Method for Meter-Wave Multiple Input Multiple Output Radar Based on Transmitted Signals and Receive Filter Design by Cong Qin, Qin Zhang, Guimei Zheng, Xiaolong Fu, He Zheng

“…Compared to the GMUSIC and ML algorithms, it demonstrates superior performance in terms of computational complexity and multi-target elevation estimation.…”
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Anthropomorphic service recovery: the panacea following service failure of automated CSAs by Nobukhosi Dlodlo

“…Motivation for the study: Selected anthropomorphic traits of automated CSAs could make shoppers personify these agents as endowed with human qualities such as humour and response empathy, thereby enhancing the trustworthiness of non-human computer social actors. Research design, approach and method: A scenario-based quantitative survey was distributed as a hyperlink, yielding 287 valid participants. …”
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Investigation of Heat and Mass Transfer in the Process of Fuel Preparation from Biomass Particles with High Moisture by A. V. Mitrofanov, O. B. Kolibaba, R. N. Gabitov, D. A. Dolinin, S. V. Vasilevich

“…The fact that the proposed mathematical model and the results of the full-scale experiment are independent, while the calculated forecasts and experimental data are in good agreement, makes us possible to consider the proposed calculation method as a reliable scientific basis for a computer method for calculating of heat and mass transfer processes when organizing the preparation of fuel from carrot fruits.…”
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Learning-based pattern-data-driven forecast approach for predicting future well responses by Yeongju Kim, Baehyun Min, Alexander Sun, Bo Ren, Hoonyoung Jeong

“…Recently, data-driven forecast methods, such as data-space inversion (DSI) and a learning-based data-driven forecast approach (LDFA), have been introduced to mitigate the computational cost and geological constraint issues of history-matching methods. …”
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APLASTIC SYNDROME IN A PREGNANT WOMAN ON THE BACKGROUND OF COVID-19: A CLINICAL CASE by Индира Венеровна Сахаутдинова, Ирина Борисовна Фаткуллина, Ирина Робинзоновна Рахматуллина, Игорь Сергеевич Засядкин, Анна Юрьевна Лазарева

“…Regression of infectious complications was observed, persistent normothermia (36-36.6°C), according to the control computed tomography, positive dynamics, a decrease in the amount of fluid in the right pleural cavity was noted. …”
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Concurrent Validity of The Expanded Cutting Alignment Scoring Tool (E-CAST) by Lauren Butler, Alexa Martinez, Ashley Erdman, Dai Sugimoto, Alex Loewen, Eryn Milian, Charles Wyatt, Kristin Hayden, Amie DeVerna, Kirsten Tulchin-Francis, Sophia Ulman

“…Joint angles and moments captured in 3D were computed for the trunk and knee. Receiver operating characteristic (ROC) curve analyses were performed to determine the accuracy of each E-CAST item and to provide cut-off points for risk factor identification…”
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Comparative Analysis of Barriers and Challenges in Adoption of Electronic Health Record System in Government and Private Hospitals of Islamabad by Ghazala Jawwad, Maleha Asim, Amanat Ali, Humaira Fayyaz Khan, Aiman Farogh Anjum, Abdul Qudoos Arain

“…Around 42.5% and 83.75% government and private hospitals have   fully functional EHR system and 72% from government and 90% responses from private reported use of computers as a major mode of patients’ data entry.  …”
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A Hybrid Method of PROSAIL RTM for the Retrieval Canopy LAI and Chlorophyll Content of Moso Bamboo (<italic>Phyllostachys pubescens</italic>) Forests From Sentinel-2 MSI Data by Zhanghua Xu, Chaofei Zhang, Songyang Xiang, Lingyan Chen, Xier Yu, Haitao Li, Zenglu Li, Xiaoyu Guo, Huafeng Zhang, Xuying Huang, Fengying Guan

“…However, the main challenges of physical model-based methods for estimating LAI and CCC are the high computational cost and the fact that different combinations of canopy variables result in similar spectral reflectance for local minima. …”
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Mortality Related Risk Factors in High-Risk Pulmonary Embolism in the ICU by Begüm Ergan, Recai Ergün, Taner Çalışkan, Kutlay Aydın, Murat Emre Tokur, Yusuf Savran, Uğur Koca, Bilgin Cömert, Necati Gökmen

“…PE patients, diagnosed with computer tomography pulmonary angiography, were included from two ICUs and were categorized into groups: group 1 high-risk patients and group 2 intermediate/low-risk patients. …”
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As Aplicações e Oportunidades do Metaverso Digital nos Ambientes Acadêmico e Profissional by Lorena Matos da Silva Flores, Renata Rocha do Nascimento de Medeiros, Marcello Vinicius Doria Calvosa

“… No atual objeto de estudo, foi realizada a resenha do artigo científico: The Metaverse Digital Environments: a scoping review of the techniques, technologies, and applications, dos autores Muhammad Tukur, Jens Schneider, Mowafa Househ, Ahmed Haruna Dokoro, Usman Idris Ismail, Muhammad Dawaki e Marco Agus, publicado em 2024, no periódico científico internacional Journal of King Saud University - Computer and Information Sciences. O artigo original teve como objetivo analisar o ambiente digital dinâmico de organizações competitivas, chamado de Metaverso. …”
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Incidence and Patterns of Interstitial Lung Disease and Their Clinical Impact on Mortality in Patients with Antineutrophil Cytoplasmic Antibody-Associated Vasculitis: Korean Single... by Jang Woo Ha, Jung Yoon Pyo, Sung Soo Ahn, Jason Jungsik Song, Yong-Beom Park, Sang-Won Lee

“…ILD and its patterns, the usual interstitial pneumonia (UIP) and non-UIP patterns, were confirmed using high-resolution computed tomography both at AAV diagnosis and during follow-up. …”
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Modeling and Optimization of Multiaction Dynamic Dispatching Problem for Shared Autonomous Electric Vehicles by Ning Wang, Jiahui Guo

“…Results show that (1) the Kuhn–Munkres algorithm ensures the computational effectiveness in the large-scale real-time application of the AMoD system; (2) the second optimization model considering long-term return can decrease average user waiting time and achieve a 2.78% increase in total revenue compared with the first model; (3) and integrating combinatorial optimization theory with reinforcement learning theory is a perfect package for solving the multiaction dynamic dispatching problem of SAEVs.…”
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Source apportionment, ecological and health risks of potentially toxic elements in street dusts across different land uses in city of Kermanshah, Iran by Ali Asgari, Soheil Sobhanardakani, Mehrdad Cheraghi, Bahareh Lorestani, Maryam Kiani Sadr

“…A total of 192 dust samples were taken from 16 sites and were analyzed for their elemental contents using ICP-OES. The computed mean values for the geo-accumulation index (I-geo) and the pollution index (PI) ranged from − 6.07 to 2.67 and from 0.023 to 9.58, respectively, indicating ‘unpolluted’ to ‘moderately to heavily polluted’, and ‘slight to very high polluted’ pollution levels, respectively. …”
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Controlled Service Scheduling Scheme for User-Centric Software-Defined Network- Based Internet of Things by Mohammed Albekairi

“…In the scheduling process, the operation to data plane migrations is decided using the maximum routed threshold. The threshold is computed for the operation and data plane from which the rate of service response or capacity of service admittance is decided. …”
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Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

“…By integrating the predictive power of computational models and the data‐driven insights of AI, the synergy between these approaches has the potential to accelerate drug discovery, optimize treatment strategies, and usher in a new era of personalized medicine, benefiting patients, researchers, and the pharmaceutical industry as a whole.…”
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Lifelong cardiovascular care in Turner syndrome: two cases with review of literature by Shun Moriguchi, Yuri Mukoyama, Fumihiko Takizawa, Atsushi Ogawa, Tetsushi Ogawa, Junko Ito, Yukishige Yanagawa, Chinatsu Komiyama, Rieko Niitsu, Tsuyoshi Isojima

“…The first case patient was diagnosed with aortic crank deformity and left subclavian artery aneurysm at 14 years based on the report of cardiac catheterization, computed tomography angiography, and cardiac magnetic resonance imaging, which had remained undetected by annual evaluations using transthoracic echocardiography (TTE). …”
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Mix-layers semantic extraction and multi-scale aggregation transformer for semantic segmentation by Tianping Li, Xiaolong Yang, Zhenyi Zhang, Zhaotong Cui, Zhou Maoxia

“…The adaptability of the feature maps is reduced by pyramid pooling, which reduces the amount of computation without compromising performance. SAPPM is comprised of several distinct pooled kernels that extract context with a deeper flow of information, forming a multi-scale feature by integrating various feature sizes. …”
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Logistic Regression Model Using Scheimpflug-Placido Cornea Topographer Parameters to Diagnose Keratoconus by Emre Altinkurt, Ozkan Avci, Orkun Muftuoglu, Adem Ugurlu, Zafer Cebeci, Kemal Turgay Ozbilen

“…The LRA model can distinguish keratoconus corneas from normal ones with high accuracy without the need for complex computer algorithms.…”
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Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data by Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

“…Among these, the Ensemble model achieved perfect classification accuracy (100 %) with minimal computational cost, making it optimal for real-time applications. …”
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