Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains by Rong Wang, Xia Wei, Hongpan Wang, Linshu Zhao, Cengli Zeng, Bingrui Wang, Wenying Zhang, Luxiang Liu, Yanhao Xu

“…There was no significant difference between the predicted values and chemical measured values in the two high RS content mutants. …”
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Multimodal Deep Learning for Differentiating Bacterial and Fungal Keratitis Using Prospective Representative Data by N.V. Prajna, MD, Jad Assaf, MD, Nisha R. Acharya, MD, MS, Jennifer Rose-Nussbaumer, MD, Thomas M. Lietman, MD, J. Peter Campbell, MD, MPH, Jeremy D. Keenan, MD, MPH, Xubo Song, PhD, Travis K. Redd, MD, MPH

“…Methods: We developed and compared 3 prediction models to distinguish bacterial and fungal keratitis using a prospective, consecutively-collected, representative dataset gathered over a full calendar year (the MADURAI dataset). …”
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Antithrombotic therapy for a case report of acute myocardial infarction after laparoscopic radical cystectomy by Zilong Wang, Zilong Wang, Zilong Wang, Zilong Wang, Huisheng Yuan, Junhao Chu, Shishuai Duan, Zhihui Zhang, Changze Song, Muwen Wang

“…However, the patient declined further assessment via preoperative coronary angiography, thereby precluding the accurate prediction of postoperative myocardial infarction risk. …”
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Associations between age, red cell distribution width and 180-day and 1-year mortality in giant cell arteritis patients: mediation analyses and machine learning in a cohort study by Si Chen, Rui Nie, Xiaoran Shen, Yan Wang, Haixia Luan, Xiaoli Zeng, Yanhua Chen, Hui Yuan

“…Furthermore, SHAP analysis revealed that both age and RDW levels made significant contributions to the prediction of mortality in GCA patients hospitalized or admitted to the ICU. …”
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Development and Validation of Risk Stratification for Heart Failure After Acute Coronary Syndrome Based on Dynamic S100A8/A9 Levels by Jie Ma, Ke Ma, Jing Chen, Xinying Yang, Fei Gao, Hai Gao, Hui Zhang, Xin‐Liang Ma, Jie Du, Ping Li, Yulin Li

“…In the discovery cohort, S100A8/A9's predictive ability at day 1 surpassed other time points. …”
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Modified Endothelial Activation and Stress Index: A New Predictor for Survival Outcomes in Classical Hodgkin Lymphoma Treated with Doxorubicin-Bleomycin-Vinblastine-Dacarbazine-Bas... by Fazıl Çağrı Hunutlu, Hikmet Öztop, Vildan Gürsoy, Tuba Ersal, Ezel Elgün, Şeyma Yavuz, Selin İldemir Ekizoğlu, Azim Ali Ekizoğlu, Vildan Özkocaman, Fahir Özkalemkaş

“…Thus, a biomarker that can predict patients with early progression at the time of diagnosis is an unmet clinical need. …”
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Oxidative potential determines the oxidative stress and ferroptotic toxicity of airborne particulate matter on pulmonary epithelial cells by Bingxue Nie, Daoqiang Zhang, Xin Liu, Chengying Lei, Zhiruo Li, Nan Zhang, Shuping Zhang, Yiju Wei, Jie Zhang

“…In this study, we compared two kinds of commercial PM with real PM to explore an index which takes account of both the diverse physicochemical properties of PM and accurate prediction of their toxicities. Our results indicated that the oxidative potential (OP) of PM significantly affects their cytotoxicity. …”
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Crack propagation and CT imaging of internal cracks in rocks damaged by pre-compression under explosive loading by Qiangqiang Zheng, Pingfeng Li, Ying Xu, Bing Cheng, Hao Hu, Hao Shi, Shoudong Xie

“…A theoretical model for predicting blast-induced crack propagation radius in damaged sandstone is established and validated through integrated laboratory blast experiments, CT scanning, and PFC-2D numerical simulations, demonstrating a prediction error margin below 5%. …”
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Ultrasonic assisted stir squeeze casting of AA5456/Al2O3–SiC-Gr-MoS2 hybrid nanocomposites: Microstructure and strengthening analysis by B.N. Akash Deep, S. Rajanna, K.N. Krishnamurthy, G.C. Manjunath Patel, T. Ganesha, G.V. Gnanedra Reddy, Mudassir Hasan, Emanoil Linul

“…The Quadratic Summation and Arithmetic Summation methods effectively predict the YS of the prepared AMMHNCs, with predictions closely aligning with experimental results.…”
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From α-to β-diversity: Understanding the historical, present, and future diversity patterns of Fagaceae in Southwestern China by Bikram Pandey, Fengying Zhang, Basu Dev Poudel, Rong Li, Mohammed A. Dakhil, Bishal Gurung, Zhaxi Luobu, Yawen Gan, Ziyan Liao, Lin Zhang

“…We used over 11,000 geographical observations to predict the spatial patterns of the α- and β-diversity of 120 species. …”
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Investigating the associations between personality functioning, cognitive biases, and (non-)perceptive clinical high-risk symptoms of psychosis in the community by Giulia Rinaldi, Stefan Lerch, Frauke Schultze-Lutter, Stefanie Julia Schmidt, Marialuisa Cavelti, Michael Kaess, Chantal Michel

“… Abstract Background Beyond psychosis prediction, clinical high-risk (CHR-P) symptoms show clinical relevance by their association with functional impairments and psychopathology, including personality pathology. …”
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DepITCM: an audio-visual method for detecting depression by Lishan Zhang, Lishan Zhang, Zhenhua Liu, Yumei Wan, Yunli Fan, Diancai Chen, Qingxiang Wang, Kaihong Zhang, Yunshao Zheng

“…In addition, there are challenges in utilizing other tasks to enhance prediction accuracy. The resolution of these issues is crucial for constructing models of depression detection.MethodsIn this paper, we propose a multi-task representation learning based on vision and audio for depression detection model (DepITCM).The model comprises three main modules: a data preprocessing module, the Inception-Temporal-Channel Principal Component Analysis Module(ITCM Encoder), and a multi-task learning module. …”
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Intervening Non-Small-Cell Lung Cancer Progression by Cell Membrane Coated Platycodin D via Regulating Hsa-miR-1246/FUT9/GSK3β Pathway by Zheng S, Xie Z, Zhou Z, Wang S, Xin Y, Lin J, Cheng K, Lu T, Qi R, Guo Y

“…MicroRNAs (miRNAs) expression was profiled, and their roles were investigated using miRNA mimics or inhibitors. Predicted miRNA targets were validated via dual-luciferase reporter assays and Western blotting following bioinformatic prediction. …”
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Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review by Maxime Sasseville, Steven Ouellet, Caroline Rhéaume, Malek Sahlia, Vincent Couture, Philippe Després, Jean-Sébastien Paquette, David Darmon, Frédéric Bergeron, Marie-Pierre Gagnon

“… BackgroundArtificial intelligence (AI) predictive models in primary health care have the potential to enhance population health by rapidly and accurately identifying individuals who should receive care and health services. …”
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Efficacy of non-invasive brain stimulation interventions on cognitive impairment: an umbrella review of meta-analyses of randomized controlled trials by Minmin Wu, Wenjing Song, Xue Wang, Lili Teng, Jinting Li, Jiongliang Zhang, Xinyue Li, Donghui Yu, Huanhuan Jia, Binhan Wang, Qiang Tang, Luwen Zhu

“…Effect sizes, 95% confidence intervals (CIs), and prediction intervals were computed for each meta-analysis. …”
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Anticancer Peptides Classification Using Long-Short-Term Memory With Novel Feature Representation by Nazer Al Tahifah, Muhammad Sohail Ibrahim, Erum Rehman, Naveed Ahmed, Abdul Wahab, Shujaat Khan

“…However, the extensive identification and synthesis of these peptides present a persistent difficulty that calls for the creation of effective prediction techniques. Existing techniques either suffer from low accuracy or employ high-dimensional feature sets, frequently producing sparse features and leading to ineffective model designs. …”
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Monitoring of microvascular calcification by time-resolved photoacoustic microscopy by Haigang Ma, Yinshi Yu, Yahui Zhu, Hongjun Wu, Haixia Qiu, Ying Gu, Qian Chen, Chao Zuo

“…The feasibility study of monitoring MC by the TR-PAM proves that this technique has potential to be developed as a superficial microvascular bio-mechanical assessment method to supplement current clinical strategy for prediction and monitoring of some diseases.…”
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Discriminant analysis of occupational performance characteristics in patients with major depressive disorders and healthy individuals by Tomonari Hayasaka, Izumi Nagashima, Miku Hoshino, Koji Teruya, Yasuyuki Matumoto, Masami Murao, Taku Maruki, Masako Watanabe, Takeshi Katagiri, Yayoi Imamura, Mariko Kurihara, Yuki Oe, Yoshikazu Takaesu, Takashi Tsuboi, Koichiro Watanabe, Hitoshi Sakurai

“…Discriminant analysis was used to enhance group differentiation, assessing prediction rates using area under the curve (AUC) values. …”
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Evaluation method and application for in-situ stress in No. 8+9 coal seam, southern Shenfu block, northeastern margin of Ordos Basin by Jiawei WU, Wei TANG, Yanhe ZHU, Cunwu WANG, Yongjing TIAN, Jingyu ZI, Jianghao YANG, Xian SHI

“…Considering the distribution of natural fractures with an average NNW orientation during different tectonic stages, as well as the propagation pattern of NNE-oriented vertical hydraulic fractures under the normal faulting stress state with NNE-oriented maximum principal horizontal stress in the eastern fracture prediction area, it was recommended to deploy horizontal cluster wells within the azimuthal interval perpendicular to the current NNE-oriented maximum horizontal principal stress direction and the average NNW-oriented natural fracture direction. …”
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Artificial intelligence analysis of thermal energy for convectively heated ternary nanofluid flow in radiated channel considering viscous dissipations aspects by Hamid Qureshi, Amjad Ali Pasha, Muhammad Asif Zahoor Raja, Zahoor Shah, Salem Algarni, Talal Alqahtani, Waqar Azeem Khan, Moinul Haq

“…The use of AI in creating the simulations is more accurate for prediction than traditional numerical methods with an improved MSE of up to 10−14 through the Python model. …”
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