Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking Analysis by Yi Qian, Xin Sun, Xin Wang, Xin Yang, Mengyao Fan, Jiao Zhong, Zejun Pei, Junping Guo

“…TCMSP, Symmap, PubChem, PubMed, and CTD database were used to predict and screen the active components and therapeutic targets for DN. …”
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Rare Somatic MEN1 Gene Pathogenic Variant in a Patient Affected by Atypical Parathyroid Adenoma by Luigia Cinque, Flavia Pugliese, Celeste Clemente, Stefano Castellana, Maria Pia Leone, Danilo de Martino, Teresa Balsamo, Claudia Battista, Tommaso Biagini, Paolo Graziano, Marco Castori, Alfredo Scillitani, Vito Guarnieri

“…Atypical parathyroid adenoma is a rare neoplasm, showing atypical histological features intermediate between classic benign adenoma and the rarest parathyroid carcinoma, whose the clinical behaviour and outcome is not yet understood or predictable. Up to date only two cases of atypical adenoma were found associated to a MEN1 syndrome, and only one was proved to carry a pathogenic variant of the MEN1 gene. …”
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Diagnostic Accuracy of 256-Detector Row Computed Tomography in Detection and Characterization of Incidental Pancreatic Cystic Lesions by D. Ippolito, P. Allegranza, P. A. Bonaffini, C. Talei Franzesi, F. Leone, S. Sironi

“…Images from a total of 192 patients (99 females; age range 31–90 years) were analysed referring to morphologic predictive signs of malignancy, including multifocality, inner septa, wall thickening, and mural enhancing nodules. …”
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A model-based factorization method for scRNA data unveils bifurcating transcriptional modules underlying cell fate determination by Jun Ren, Ying Zhou, Yudi Hu, Jing Yang, Hongkun Fang, Xuejing Lyu, Jintao Guo, Xiaodong Shi, Qiyuan Li

“…Furthermore, MGPfactXMBD discovered evolutionary trajectories of tumor-associated CD8+ T cells and yielded new subtypes of CD8+ T cells with gene expression signatures significantly predictive of the responses to immune checkpoint inhibitor in independent cohorts. …”
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The response of hydraulic conductivity to air-trapped saturation in a dissolution process of trapped-air in quasi-saturated fine sands media by Donghui CHENG, Yingbo LAN, Jing YUAN, Lin XIANG, Xiaoting YANG, Xiaoying QIAO, Lin DENG, Zilin WANG, Qing WANG

“…., van Genuchten model, was constructed to predict the quasi-saturated hydraulic conductivity. …”
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Optimum Conditions and LC-ESI-MS Analysis of Phenolic Rich Extract from Eucalyptus marginata L. under Maceration and Ultrasound-Assisted Extraction Methods Using Response Surface M... by Soumaya Hasni, Ghayth Rigane, Hanene Ghazghazi, Hajer Riguene, Amir Bouallegue, Olfa Khedher, Moufida A. Oueslati, Ridha Ben Salem

“…The main goal of the present study was to optimize the extraction parameters of phenolic compounds from Eucalyptus marginata L. leaves using the extraction technique assisted by ultrasound in comparison with maceration using response surface methodology as a predicted tool. Therefore, total phenolic and flavonoid contents have been optimized, taking into account four variables: extraction time, temperature, liquid-to-solid ratio, and ethanol concentration. …”
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Optimisation of trimethylolpropane ester synthesis from waste cooking oil methyl ester by response surface methodology, and its physicochemical properties and tribological characte... by Teuku Meurah Indra Riayatsyah, Arridina Susan Silitonga, Md Abul Kalam, Islam Md Rizwanul Fattah

“…The following process variables were optimised: (1) reaction time, (2) TMP-to-WCOME ratio, and (3) sodium methoxide catalyst concentration. The predicted TWCOE biolubricant yield was 97.06 %, which conformed well with the experimental TWCOE biolubricant yield of 96.12 %. …”
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Ecoepidemiology of Chagas Disease in a Biological Corridor in Southeastern Mexico: A Promising Approach to Understand the Risk of Chagas Disease by Ingrid Yazmin Cruz-Alegría, Nancy Gabriela Santos-Hernández, Christian Ruiz-Castillejos, Juan Felipe Ruan-Soto, Adriana Moreno-Rodríguez, Any Laura Flores-Villegas, Javier Gutiérrez-Jiménez, Luis Arturo Hernández-Mijangos, Eduardo Estanislao Espinoza-Medinilla, Dolores Guadalupe Vidal-López, José Antonio De Fuentes-Vicente

“…As a result of this, risk predictions can be established in a changing environment and how it may impact human populations. …”
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Decreased Frequencies of Th17 and Tc17 Cells in Patients Infected with Avian Influenza A (H7N9) Virus by Jiaqi Bao, Dawei Cui, Xiaochen Wang, Qianda Zou, Dejian Zhao, Shufa Zheng, Fei Yu, Li Huang, Yuejiao Dong, Xianzhi Yang, Guoliang Xie, Weizhen Chen, Yu Chen

“…Taken together, our results indicate immune disorder in acute H7N9 infection and a restored Th17 and Tc17 cell frequency might serve as a biomarker for predicting recovery in patients infected with this virus.…”
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Opposite outcomes of triglyceride-glucose index and associated cardiovascular mortality risk in type 2 diabetes mellitus participants by different obesity criteria by Hui Huang, Jing Tian, Jiahui Xu, Qingguang Chen, Mengjie Cai, Hao Lu, Fan Gong

“…A totally opposite relationship appeared between TyG index and CVD mortality based on how obesity was defined using BMI or WC in the T2DM participants, suggesting a reevaluation of BMI’s accuracy in predicting mortality risk.…”
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Flunarizine as a Candidate for Drug Repurposing Against Human Pathogenic Mammarenaviruses by Chukwudi A. Ofodile, Ikemefuna C. Uzochukwu, Fortunatus C. Ezebuo, InnocentMary Ejiofor, Mercy Adebola, Innocent Okpoli, Beatrice Cubitt, Haydar Witwit, Chetachi B. Okwuanaso, Ngozi Onyemelukwe, Juan Carlos de la Torre

“…Our in silico docking screen identified five drugs (dexamethasone, tadalafil, mefloquine, ergocalciferol, and flunarizine) with strong predicted binding affinity to LASV proteins involved in the formation of the vRNP. …”
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The future of plant lectinology: Advanced technologies and computational tools by Vinicius J.S. Osterne, Kyria S. Nascimento, Benildo S. Cavada, Els J.M. Van Damme

“…Additionally, computational methods—including molecular docking, molecular dynamics simulations, and machine learning pipelines—support predictions of lectin structures and binding properties, underpinning experimental efforts. …”
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Assessment of ozone impact on forest vegetation using visible foliar injury, AOT40F exposure index and MDA concentration in two meteorologically contrasting years by Radek Novotný, Leona Vlasáková, Vít Šrámek, Václav Buriánek, Nina Benešová

“…The findings suggest that the AOT40F capability for predicting damage to vegetation is limited and highlight the importance of future research focusing on stomatal O3 flux-based approaches.…”
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Validation of <i>Monilinia fructicola</i> Putative Effector Genes in Different Host Peach (<i>Prunus persica</i>) Cultivars and Defense Response Investigation by Lucia Landi, Annamaria Lucrezia D’Ortenzio, Sarah Mojela Makau, Rita Milvia De Miccolis Angelini, Gianfranco Romanazzi

“…<i>M. fructicola</i> putative virulence factors have been predicted by genome investigations. The pathogen interaction with the host was validated. …”
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Real-time classification of EEG signals using Machine Learning deployment by Swati CHOWDHURI, Satadip SAHA, Samadrita KARMAKAR, Ankur CHANDA

“…This study proposes a machine learning-based approach for predicting the level of students' comprehension with regard to a certain topic. …”
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Impact of Frequency Heterogeneity on Mutually Synchronized Spatially Distributed 24 GHz PLLs by Christian Hoyer, Jens Wagner, Frank Ellinger

“…Previous research has proposed theoretical frameworks that can predict the synchronized states of such designs. However, these frameworks do not account for the dynamic behavior that occurs during initial synchronization. …”
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Data from Emergency Medical Service Activities: A Novel Approach to Monitoring COVID-19 and Other Infectious Diseases by Daniele del Re, Luigi Palla, Paolo Meridiani, Livia Soffi, Michele Tancredi Loiudice, Martina Antinozzi, Maria Sofia Cattaruzza

“…<b>Conclusions</b>: This novel approach, combined with a machine learning predictive approach, could be a powerful public health tool to signal the start of disease outbreaks and monitor the spread of infectious diseases.…”
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The Association between KIF6 Single Nucleotide Polymorphism rs20455 and Serum Lipids in Filipino-American Women by Irma B. Ancheta, Cynthia A. Battie, Dan Richard, Christine V. Ancheta, Nancy Borja-Hart, Annabelle S. Volgman, Yvette Conley

“…The genotype distribution was 23% Trp/Trp, 51% Arg/Trp, and 26% Arg/Arg. Genotype did not predict the presence of CHD risk factors. Moreover, LDL-C, HDL-C, and triglycerides mean values did not vary as a function of genotype. …”
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Saprotrophic Wood Decay Ability and Plant Cell Wall Degrading Enzyme System of the White Rot Fungus <i>Crucibulum laeve</i>: Secretome, Metabolome and Genome Investigations by Alexander V. Shabaev, Olga S. Savinova, Konstantin V. Moiseenko, Olga A. Glazunova, Tatyana V. Fedorova

“…Multiple copies of the family AA1_1, AA3_2, AA7 and LPMOs CAZyme genes, as well as eight genes encoding proteins of the YvrE superfamily (COG3386), which includes sugar lactone lactonases, were predicted in the <i>C. laeve</i> genome. According to metabolic pathway analysis, the litter saprotroph <i>C. laeve</i> can catabolize D-gluconic and D-galacturonic acids, and possibly other aldonic acids, which seems to confer certain ecological advantages.…”
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IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning by Ahmad Jalal, Danyal Khan, Touseef Sadiq, Moneerah Alotaibi, Sultan Refa Alotaibi, Hanan Aljuaid, Hameedur Rahman

“…Key features are extracted using techniques such as ORB (Oriented FAST and Rotated BRIEF), MSER (Maximally Stable Extremal Regions), DFT (Discrete Fourier Transform), and KAZE for image data, and LPCC (Linear Predictive Cepstral Coefficients), PSD (Power Spectral Density), AR Coefficient, and entropy for sensor data. …”
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