Approaches to evaluate nutrition of minerals in food by Xuan Wang, Yifan He, Qian Gao, Dong Yang, Jianfen Liang

“…The commonly used approaches for assessing mineral bioavailability can be divided into three categories - chemical methods, in vitro models and in vivo tests. Chemical methods are first developed, and mainly simulating the digestion environment to give a rough prediction of mineral bioavailability. …”
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A multivariate model incorporating subharmonic measurements for evaluating vocal roughness by Itsuki Kitayama, Kiyohito Hosokawa, Shinobu Iwaki, Misao Yoshida, Akira Miyauchi, Kenji Aruga, Takanari Kawabe, Toshihiro Kishikawa, Hidenori Tanaka, Takeshi Tsuda, Takashi Sato, Yukinori Takenaka, Makoto Ogawa, Hidenori Inohara

“…Abstract The assessment of voice quality plays a critical role in the clinical evaluation of hoarseness. However, no study has established a highly accurate method for the auditory–perceptual judgment of vocal roughness, which is one of the major components of hoarseness. …”
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The evaluation of malignant astrocytoma score (MAS) by Kojadinović Željko, Vuleković Petar, Jajić Đorđe, Cigić Tomislav, Papić Vladimir, Đilvesi Đula, Horvat Igor, Karan Mladen

“…Methods. The study was performed on 124 patients with supratentorial malignant astrocytoma grade III or IV. …”
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Experimental and computational evaluation of capacitive hyperthermia by Marcus Beck, Peter Wust, Eva Oberacker, Alexander Rattunde, Tom Päßler, Benjamin Chrzon, Paraskevi Danai Veltsista, Jacek Nadobny, Ruben Pellicer, Enrico Herz, Lukas Winter, Volker Budach, Sebastian Zschaeck, Pirus Ghadjar

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Deep learning-based strategies for evaluating and enhancing university teaching quality by Ying Gao

“…The education sector currently faces several challenges, including the subjectivity of evaluation methods, uniformity of data, and a lack of real-time feedback. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…The outcomes of parameter adjustment greatly increased the accuracy of the four prediction models. Naïve Bayes model’s prediction accuracy is the lowest when compared to other prediction methods, as it assumes a strong independent relationship between features.…”
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Evaluation of seismic mitigation of embankment model by Abdoullah Namdar

“…Conducting experiment on embankment model by shaking table could be an accurate method to evaluate the behavior of embankment or any structures under seismic loading. …”
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Renal Volume in ADPKD Patient Evaluation by M. Galliani, E. Vitaliano, S. Chicca, L. Calvaruso, L. Di Lullo, F. Iorio, M. E. Tosti, A. Paone

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Validation of the evaluation of longevity by weighted analysis by Daniela Fulínová, Jiří Bauer, Luboš Vostrý

“…We applied the Interbull validation methodology, a widely accepted method in animal breeding, to assess novel weighted and nonweighted repeatability models for the prediction of breeding values for longevity in Czech Holstein cattle. …”
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Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting by Zhihong Lv, Rui Sun, Xin Liu, Shuo Wang, Xiaowei Guo, Yuan Lv, Min Yao, Junhua Zhou

“…This study applies a self-attention mechanism to predict the number of tuberculosis cases, aiming to evaluate its effectiveness in forecasting. …”
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Verification of a Motion Sensor for Evaluating Physical Activity in COPD Patients by Seiko Miyamoto, Yoshiaki Minakata, Yuichiro Azuma, Kazumi Kawabe, Hideya Ono, Ryuta Yanagimoto, Tadatoshi Suruda

“…Methods. The PA measured by HJA was compared with that measured by two already validated accelerometers in 11 patients with COPD (age: 76.6 ± 6.9, FEV1% predicted: 57.6 ± 18.6). …”
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Evaluating cardiovascular risk in an Inclusion Health population admitted to secondary care by Yujia Gao, James Norman

“…While QRISK3 is a validated tool for predicting ten-year cardiovascular risks in the general population in primary care, its application in secondary care or IH populations remains underexplored.MethodsThis prospective study, conducted at University College London Hospital (UCLH) between December 2021 and December 2023, evaluated IH patients using a locally-developed Collaborative Holistic Inclusion Health Patient Assessment (CHIPA) tool, incorporating clinical scoring systems including QRISK3. …”
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Evaluating metabolome-wide causal effects on risk for psychiatric and neurodegenerative disorders by Lachlan Gilchrist, Julian Mutz, Pirro Hysi, Cristina Legido-Quigley, Sulev Kõks, Cathryn M. Lewis, Petroula Proitsi

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Laptop power tuning based on system state prediction by Qihua Xiao, Zhihui Shan, Xueli Ban, Zhengcao Jin

“…By evaluating the value of the predicted states, the optimal action is selected. …”
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Evaluation of the efficiency of reference machine learning models for buffer memory prediction when transforming a self-similar input stream of packets into a stream having exponen... by G. I. Linets, R. Al. Voronkin, S. Vl. Govorova

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Multifractal Analysis for Evaluating the Representation of Clouds in Global Kilometer‐Scale Models by Lilli J. Freischem, Philipp Weiss, Hannah M. Christensen, Philip Stier

“…To isolate issues in their representation of clouds, models need to be thoroughly evaluated with observations. Here, we introduce multifractal analysis as a method for evaluating km‐scale simulations. …”
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Evaluating Optimal Relationships for Estimating Suspended Sediment Discharge in the Balaroud River by Babak Lashkar-Ara, Farmehr Kiani

“…The findings underscore critical discrepancies among the evaluated equations and the necessity for case-specific assessments to enhance sediment transport predictions. …”
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Evaluating the effectiveness of vaccination campaigns: Insights from unvaccinated mortality data by Lixin Lin, Haydar Demirhan, Lewi Stone

“…This paper examines a recently developed statistical approach for evaluating the effectiveness of vaccination campaigns in terms of deaths averted. …”
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Evaluating virtual reality technology in psychotherapy: impacts on anxiety, depression, and ADHD by Peng Wang, Xiaowen Ai, Xiyang Zhang, Fei Ma, Yan Zhuang, Suogang Wang

“…The World Health Organization predicts that by 2030, mental health problems will become the leading cause of global disease burden, highlighting the urgent need for effective mental health interventions. …”
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Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing by Rajesh V․ Rajkolhe, Dr. Sanjay S․ Bhagwat, Dr. Priyanka V․ Deshmukh

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