Valorization of Olive Pruning Residues through Bioconversion into Edible Mushroom Pleurotus ostreatus (Jacq. Ex Fr.) P. Kumm. (1871) of Improved Nutritional Value by Sami Abou Fayssal, Mohammed A. Alsanad, Zeina El Sebaaly, Ahmed I. H. Ismail, Youssef N. Sassine

“…Monounsaturated fatty acids increased in mushrooms of the substrates containing OLPR. A good predictive model of partial least square regression analysis showed different relationships of mushroom palmitic, oleic, linolenic, palmitoleic, and stearic acids with substrate composition. …”
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Baseline Triglyceride Level Affected the Efficacy of Vildagliptin in Treating Type 2 Diabetes: A Post Hoc Analysis of the VISION Study by Lingli Zhou, Xiaoling Cai, Yingying Luo, Fang Zhang, Linong Ji

“…Collectively, baseline TG was an independent predictive factor for the efficacy of a dipeptidyl peptidase-IV in treating type 2 diabetes during its initial use.…”
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CADD based designing and biological evaluation of novel triazole based thiazolidinedione coumarin hybrids as antidiabetic agent by Anchal Sharma, Anmol Narang, Nitish Kumar, Rupali Rana, Megha, Pooja, Muskan Dhir, Harmandeep Kaur Gulati, Jyoti, Aanchal Khanna, Jatinder Vir Singh, Sukhraj Kaur, Preet Mohinder Singh Bedi

“…Compound I-1 was synthesized based on the insights gained from molecular docking and simulations, which helped predict interactions and identify critical structural features. …”
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Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture by Hemkant Nehete, Sandeep Soni, Tharun Kumar Reddy Bollu, Balasubramanian Raman, Brajesh Kumar Kaushik

“…This architecture includes a mapping algorithm that modulates inputs and map AFC to crossbar arrays directly, eliminating the need to predict approximated weights for evaluating output. …”
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DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning by D. S. Azarova, N. A. Omelyanchuk, V. V. Mironova, E. V. Zemlyanskaya, V. V. Lavrekha

“…Importantly, the tool is capable of automatically adjusting the parameters by fitting the distribution of the substance concentrations predicted in the model to experimental data taken from the microscopic images. …”
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Optimization of turbidity and iron removal process for mine reuse water based on response surface methodology by LUO Jianying, ZHU Junzhao, YANG Zaijun, YANG Jianchao, WANG Jian, GUO Zhongquan

“…Three sets of parallel experiments were carried out under the optimal condition,the average removal rates of turbidity and total iron were (97.2±0.3)% and (97.0±0.2)%, which were both deviated from the model predictions by 0.6%. The water quality of reclaimed water was favorable after the application while the operation cost could be saved.…”
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Synthesis and Characterization of Hydroxyapatite- (HAP-) Clay Composites and Adsorption Studies on Methylene Blue for Water Treatment by Ebenezer Annan, Grace Karikari Arkorful, David Sasu Konadu, Bernard Asimeng, David Dodoo-Arhin, Martin Egblewogbe

“…The thermodynamical modeling predicts that based on the value of the change in enthalpy and Gibbs free energy the process was exothermic and spontaneous. …”
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Optimization of Polyphenol Extraction from Purple Corn Pericarp Using Glycerol/Lactic Acid-Based Deep Eutectic Solvent in Combination with Ultrasound-Assisted Extraction by Ravinder Kumar, Sherry Flint-Garcia, Miriam Nancy Salazar Vidal, Lakshmikantha Channaiah, Bongkosh Vardhanabhuti, Stephan Sommer, Caixia Wan, Pavel Somavat

“…The relative standard error among the predicted and experimental yields was <10%, validating the robustness of the model. …”
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Multilevel Precision-Based Rational Design of Chemical Inhibitors Targeting the Hydrophobic Cleft of Apical Membrane Antigen 1 (AMA1) by Umashankar Vetrivel, Shalini Muralikumar, B Mahalakshmi, K Lily Therese, HN Madhavan, Mohamed Alameen, Indhuja Thirumudi

“…Machine learning approaches also predicted these two compounds to possess more relevant activities. …”
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CASP5 associated with PANoptosis promotes tumorigenesis and progression of clear cell renal cell carcinoma by Kangkang Yang, Yushuang Wang, Yuli Jian, Bo Wang, Hao Du, Yuqing Xia, Jianlei Bi, Meihua Guo, Zhi Li, Ning Wang

“…This model demonstrated a high degree of precision in predicting the prognosis for patients with ccRCC. ccRCC patients in the high-risk group had the strongest immune cell activity, experiencing immune evasion, and might potentially derive advantages from treatment involving combined immune checkpoint inhibitors. …”
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Lnc-DC promotes estrogen independent growth and tamoxifen resistance in breast cancer by Wan-Xin Peng, Pratirodh Koirala, Huaixiang Zhou, Jiahong Jiang, Ziqiang Zhang, Liu Yang, Yin-Yuan Mo

“…In particular, analysis of a tamoxifen-treated patient cohort indicates that Lnc-DC expression can predict the response to tamoxifen. Together, this study demonstrates a previously uncharacterized function of Lnc-DC/STAT3/cytokine axis in estrogen independent growth and tamoxifen resistance, and Lnc-DC may serve as a potential predictor for tamoxifen response.…”
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ATG5 and ATG7 Expression Levels Are Reduced in Cutaneous Melanoma and Regulated by NRF1 by Živa Frangež, Deborah Gérard, Zhaoyue He, Marios Gavriil, Yuniel Fernández-Marrero, Yuniel Fernández-Marrero, S. Morteza Seyed Jafari, Robert E. Hunger, Philippe Lucarelli, Shida Yousefi, Thomas Sauter, Lasse Sinkkonen, Hans-Uwe Simon, Hans-Uwe Simon, Hans-Uwe Simon, Hans-Uwe Simon

“…Using bioinformatic predictions of transcription factor (TF) binding motifs in accessible chromatin of primary melanocytes, we identified new TFs involved in the regulation of core ATGs. …”
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Determining sensory drivers of complex metadescriptors through regression modelling by Emily Fisher, Charles Diako, Rebecca Shingleton, Sidsel Jensen, Joanne Hort

“…LASSO and PLSR were compared for their predictive ability and attributes retained using sensory attributes (trained panel) as predictors and creaminess ratings (consumers) as the response variable.LASSO identified four key sensory attributes with a good model fit (R2 = 0.951), while PLSR suggested thirteen (R2 = 0.933). …”
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Analysis and Characterization of the Immunogenicity of Rhoptry Protein 18 by Masoud Foroutan, Amir Karimipour-Saryazdi, Ali Dalir Ghaffari, Hamidreza Majidiani, Arezo Arzani Birgani, Elaheh Karimzadeh-Soureshjani, Shahrzad Soltani, Hany M Elsheikha

“…Allergenicity and antigenicity assessments indicated that TgROP18 is a nonallergenic, immunogenic protein. Predictions using the C-ImmSim server suggest that TgROP18 can stimulate humoral and cell-mediated immune responses, based on antibody titers and cytokine profiles following antigen administration. …”
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Mendelian Randomisation Study of Childhood BMI and Early Menarche by Hannah S. Mumby, Cathy E. Elks, Shengxu Li, Stephen J. Sharp, Kay-Tee Khaw, Robert N. Luben, Nicholas J. Wareham, Ruth J. F. Loos, Ken K. Ong

“…Using this BMI-increasing-allele-score as an instrumental variable for BMI, each 1 kg/m2 increase in childhood BMI was predicted to result in a 6.5% (95% CI: 4.6–8.5%) higher absolute risk of early menarche (before age 12 years). …”
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Determinants of physical activity among female students based on the transtheoretical model by Maryam Abdoli, Leili Tapak, Payam Amini, Azam Geravandi, Babak Moeini, Omid Hamidi, Maryam Afshari

“…Self-efficacy is crucial for predicting activity levels, suggesting beneficial interventions that combine physical activity with self-efficacy enhancement. …”
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Blood Pressure Variability during Angiography in Patients with Ischemic Stroke and Intracranial Artery Stenosis by Hui Pan, Rong Zhao, Feng-Di Liu, Yi-Lan Wu, Ge-Fei Li, Yan-Hui Shi, Yi-Sheng Liu, Ying Zhao, Mei-Ting Zhuang, Tian-Yu Hou, Qi-Ting Zhang, Qian Yao, Yuan Qiao, Rui-Jue Huang, Li-Na Chen, Yi-Min Zhu, Liang Shu, Jing-Jing Su, Jie Fang, Xue-Mei Tang, Shuo Wang, Guo-Hong Cui, David Z. Wang, Jian-Ren Liu

“…Our aim was to investigate factors predicting blood pressure (BP) variability during diagnostic cerebral angiography and associations between BP variability and clinical outcomes in patients with acute and subacute ischemic stroke and intracranial artery stenosis. 114 patients with ischemic stroke and intracranial artery stenosis (stenosis rate >50%) were recruited. …”
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The identification of a SARs-CoV2 S2 protein derived peptide with super-antigen-like stimulatory properties on T-cells by Thai Hien Tu, Fatima Ezzahra Bennani, Nasser Masroori, Chen Liu, Atena Nemati, Nicholas Rozza, Amichai Meir Grunbaum, Richard Kremer, Catalin Milhalcioiu, Denis-Claude Roy, Christopher E. Rudd

“…Computational modeling predicts P3 binding to sites on MHC class I/II and the TCR that partially overlap with sites for the binding of staphylococcal enterotoxins B and H. …”
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RSK4 promotes the metastasis of clear cell renal cell carcinoma by activating RUNX1-mediated angiogenesis by Jing Ma, Yanru Yang, Kaijing Wang, Jin Liu, Junyi Feng, Gongcheng Wang, Shuangping Guo, Linni Fan

“…In this study, we observed higher RSK4 protein expression in clear cell renal cell carcinoma (ccRCC) than in normal kidney tissue, and the overexpression of RSK4 might predict poor outcomes for ccRCC patients. Notably, renal cell carcinoma (RCC) is rich in blood vessels; therefore, this study aimed to explore the biological function of RSK4 in ccRCC progression and its specific regulatory mechanism. …”
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Numerical Method of Flexible Pavement considering Moisture and Stress Sensitivity of Subgrade Soils by Jue Li, Jianlong Zheng, Yongsheng Yao, Junhui Zhang, Junhui Peng

“…This study aimed to establish a numerical approach to predict the dynamic behavior of flexible pavements considering the stress sensitivity and moisture variation of subgrade soils. …”
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