Mapping neutron biological effectiveness for DNA damage induction as a function of incident energy and depth in a human sized phantom by Alice Mentana, Virgilio Quaresima, Pavel Kundrát, Isabella Guardamagna, Leonardo Lonati, Ombretta Iaria, Andrea Previtali, Giorgia Santi Amantini, Luca Lunati, Virginia Boretti, Livio Narici, Luca Di Fino, Luca Bocchini, Claudio Cipriani, Giorgio Baiocco

“…To this aim, we combined the simulation of radiation transport through biological matter, performed with the Monte Carlo code PHITS, and the prediction of DNA damage using analytical formulas, which ground on a large database of biophysical radiation track structure simulations performed with the code PARTRAC. …”
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Whole-transcriptome analysis reveals the characteristics of intramuscular fat circRNA expression and its associated network in grazing yaks of different months of age under cold st... by Yaqian Liu, Yonggang Sun, Yincang Han, Weiqin Ding, Shengwei Jin, Jianyu Chen, Fajie Gou

“…Results: The results showed that 352 differential circRNAs, 86 differential miRNAs and 3981 differential mRNAs were found. miRNAs and mRNAs network regulation maps were successfully constructed through gene expression correlation analysis and target gene prediction. Conclusions: Taking the intersection of the predicted circRNA target genes with the differential miRNAs for intramuscular fat in yaks of different months of age, we obtained two candidate ceRNA pairs that might be related to intramuscular fat deposition in yaks, and found that bta-let-7i might be related to fat deposition in yaks and might be regulated by X_85287959_85291068, and that X_85287959_85291068 could be a candidate circRNA to enhance the quality of yak meat. …”
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Hyoid bone-based sex discrimination among Egyptians using a multidetector computed tomography: discriminant function analysis, meta-analysis, and artificial intelligence-assisted s... by Afaf Abdelkader, Susan A. Ali, Ahmed Abdeen, Ehab S. Taher, Asmaa Y. A. Hussein, Mamdouh Eldesoqui, Mohamed Abdo, Liana Fericean, Bănăţean-Dunea Ioan, Samah F. Ibrahim, Ashraf M. Said, Darine Amin, Elturabi E. Ebrahim, Amany M. Allam, Mihaela Ostan, Khaled A. Bayoumi, Tabinda Hasan, Ekramy M. Elmorsy

“…Initially, the dataset was subjected to discriminant analysis to predict sex and the critical variables associated with sexual dimorphism. …”
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Precision foraging: Bats in organic desert palm plantations hunt where it is most needed by Danilo Russo, Fabiana Soprano, Luca Cistrone, Adi Einav, Jessica Schäckermann, Ioannis Ekklisiarchos, Carmi Korine

“…While species richness remained stable across habitats, according to our prediction, activity levels varied according to habitat type and wind conditions. …”
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Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study by Marenao Tanaka, Yukinori Akiyama, Kazuma Mori, Itaru Hosaka, Keisuke Endo, Toshifumi Ogawa, Tatsuya Sato, Toru Suzuki, Toshiyuki Yano, Hirofumi Ohnishi, Nagisa Hanawa, Masato Furuhashi

“…By building multiple ML models, more practical prediction might be possible.…”
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Expression of Wnt signaling proteins LEF1, β-catenin, GSK3β, DVL1, and N-myc varies across retinoblastoma subtypes and pRb phosphorylation status by Leon Marković, Anja Bukovac, Ana Maria Varošanec, Antonia Jakovčević, Davor Tomas, Zdenko Sonicki, Borna Puljko, Fran Dumančić, Reno Hrašćan, Nives Pećina-Šlaus

“…While TNM classification helps in prognosis, understanding molecular mechanisms is vital for the clinical behavior of retinoblastoma prediction. Our study aimed to analyze the expression levels of key Wnt pathway proteins, GSK3β, LEF1, β-catenin, and DVL1, and associate them to non-phosphorylated active form (pRb) and the phosphorylated inactive form (ppRb) and N-myc expression, in retinoblastoma cells and healthy retinal cells, in order to elucidate their roles in retinoblastoma and identify potential targets that could help to improve diagnostic and therapy. …”
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Lipid trajectories improve risk models for Alzheimer’s disease and mild cognitive impairment by Bruce A. Chase, Roberta Frigerio, Chad J. Yucus, Smita Patel, Demetrius Maraganore, Alan R. Sanders, Jubao Duan, Katerina Markopoulou

“…In this retrospective, case-control study, we tested the hypothesis that blood-lipid concentrations during the decade prior to cognitive symptom onset can inform risk prediction for Alzheimer's disease (AD) and stable mild cognitive impairment (MCI). …”
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Transcription factor-dependent regulatory networks of sexual reproduction in Fusarium graminearum by Wonyong Kim, Da-Woon Kim, Zheng Wang, Meng Liu, Jeffrey P. Townsend, Frances Trail

“…Additional transcriptome data were collected for the TF knockouts guided by the stage at which their phenotypes appeared and by the cognate in silico prediction. Global TF networks revealed that TFs within the mating-type locus (MAT genes) trigger a transcriptional cascade involving TFs that affected early stages of sexual development. …”
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Simulation and experimental study on olive drop injury by Weike Lan, Haotian Mu, Di Xin, Shijia Pan, Yuncai Yan, Wen Gao, Zijie Niu, Dongyan Zhang, Jun Zhang, Yongjie Cui

“…In this study, vibration harvesting drop tests and finite element simulations were performed on the olive variety ''Leccio'' to optimize the collision parameters to evaluate and predict the damage level and damage resistance of olives. …”
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Calculation Method of Overburden Damage Height Based on Fracture Mechanics Analysis of Soft and Hard Rock Layers by Liang Chen, Shaowu Fan, Can Zhao, Lang Zhang, Zhiheng Cheng

“…The calculation accuracy of this method meets the engineering error requirements and can be applied to the prediction of overburden damage height in near horizontal coal seam mining.…”
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Biglycan-driven risk stratification in ZFTA-RELA fusion supratentorial ependymomas through transcriptome profiling by Konstantin Okonechnikov, David R. Ghasemi, Daniel Schrimpf, Svenja Tonn, Martin Mynarek, Jan Koster, Till Milde, Tuyu Zheng, Philipp Sievers, Felix Sahm, David T.W. Jones, Andreas von Deimling, Stefan M. Pfister, Marcel Kool, Kristian W. Pajtler, Andrey Korshunov

“…Our results indicate that integrating BGN expression (at mRNA and/or protein level) into risk stratification models may improve ST-EPN ZFTA-RELA outcome prediction. Therefore, gene and/or protein expression analyses for this molecular marker could be adopted for ST-EPN ZFTA-RELA prognostication and may help assign patients to optimal therapies in prospective clinical trials.…”
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sB7H3 in Children with Acute Appendicitis: Its Diagnostic Value and Association with Histological Findings by Xiaochen Du, Yan Chen, Jie Zhu, Zhenjiang Bai, Jun Hua, Ying Li, Haitao Lv, Guangbo Zhang

“…The combination of sB7H3 and CRP might improve the prediction of perforated appendicitis.…”
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Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

“…The main insights generated in the bibliometric analysis were (i) sustainable animal production changed from unidisciplinary science to multidisciplinary science linked to agricultural, environmental and engineering sciences, mainly to genetics and computing; (ii) the concept of sustainable animal production emerged from animal welfare and climate change concepts found in UN's 2030 Agenda; (iii) omics sciences, greenhouse gases, energy efficiency and animal welfare are the main keywords for bibliometric analyses in future studies related to sustainable animal production in the coming centuries; (iii) prediction and classification analyses, i.e., supervised machine learning models used as main tools in animal production; (iv) residual feed intake applied to measure sustainable feed efficiency in animal farming in the past and nowadays; and (v) The United States, China, Brazil and Australia are the main countries publishing studies on sustainability in animal production, but only China has been gaining prominence in publications in this field, in recent years, and it will turn this country into an emerging leader in future publications on this topic. …”
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Study on the Effect of Isotropic Initial Stress on the Anchoring Performance of Self-Expanding Bolts by Jie Liu, Hongya Li, Yunzhou Li, Yunan Yang, Tao Sun, Rui Song, Rongqi Sun

“…It is pointed out that this effect can greatly improve the ductility of the anchoring system and the ultimate energy consumption value of damage. A prediction model for the ultimate pull-out force of self-expanding bolts is established. …”
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Identifying the function of novel cross-species microRNAs from the excretory-secretory products of Angiostrongylus cantonensis fifth-stage larvae by Kuang-Yao Chen, Yi-Hsuan Lin, Chien-Ju Cheng, Yi-Hao Huang, Sheng-Yu Lin, Chyi-Liang Chen, Cheng-Hsun Chiu

“…Novel microRNAs were initially detected, and their expression was found. Moreover, the prediction results showed that these secreted microRNAs may regulate Wnt and mTOR signaling. …”
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Radiologic assessment of the optimal point for tube thoracostomy using the sternum as a landmark: a computed tomography‐based analysis by Jaeik Jang, Jae-Hyug Woo, Mina Lee, Woo Sung Choi, Yong Su Lim, Jin Seong Cho, Jae Ho Jang, Jea Yeon Choi, Sung Youl Hyun

“…Compared to the conventional 5th ICS method, the sternum 1/2 method had a safety zone prediction sensitivity of 90.0% to 90.7%, and 97.3% to 100% sensitivity for not passing the diaphragm. …”
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Composite cardiac computed tomography angiography score for improved risk assessment in chronic coronary syndromes by Subin Lee, Alexander Giesen, Dimitrios Mouselimis, Loris Weichsel, Andreas A. Giannopoulos, Max Nunninger, Matthias Renker, Florian André, Norbert Frey, Grigorios Korosoglou

“…Cox-proportional regression demonstrated that the Agatston score, the number of high-risk plaques and CAD-RADS predicted the primary endpoint, independent of age and conventional cardiovascular risk factors. …”
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Response surface methodology and adaptive neuro-fuzzy inference system for adsorption of reactive orange 16 by hydrochar by J. Oliver Paul Nayagam, K. Prasanna

“…BACKGROUND AND OBJECTIVES: The prediction models, response surface methodology and adaptive neuro-fuzzy inference system are utilized in this study. …”
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Multimorbidity is associated with risk of incident venous thromboembolism – A nationwide proof-of-concept study by Jonatan Ahrén, MirNabi Pirouzifard, Björn Holmquist, Jan Sundquist, Kristina Sundquist, Bengt Zöller

“…Further studies will determine the usefulness of multimorbidity for VTE prediction in different clinical settings.…”
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Development and Validation of a Novel Classification System and Prognostic Model for Open Traumatic Brain Injury: A Multicenter Retrospective Study by Yuhui Chen, Li Chen, Liang Xian, Haibing Liu, Jiaxing Wang, Shaohuai Xia, Liangfeng Wei, Xuewei Xia, Shousen Wang

“…The calibration curve closely approximated the ideal curve, indicating strong predictive performance of the model. Conclusions The implementation of our proposed OTBI classification system and its use alongside the other prognostic factors identified here may improve the prediction of patient prognosis and aid in the selection of the most suitable treatment strategies.…”
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