MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling by Jihye Ahn, Hyesong Choi, Soomin Kim, Dongbo Min

“…Given randomly masked stereo images as inputs, our method attempts to conduct both image reconstruction and depth prediction tasks. While this strategy is beneficial to resolving the data scarcity issue, the dual tasks of reconstructing masked tokens and subsequently performing stereo matching pose significant challenges, particularly in terms of training stability. …”
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Spatiotemporal Evolution Characteristics of Fluid Flow through Large-Scale 3D Rock Mass Containing Filling Joints: An Experimental and Numerical Study by Qian Yin, Hongwen Jing, Tantan Zhu, Lizhou Wu, Haijian Su, Liyuan Yu

“…The calculated values show a good agreement with the numerical results, indicating a good prediction of the seepage evolution through the filling joint.…”
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Mechanistic insights into pachymic acid’s action on triple-negative breast Cancer through TOP2A targeting by Ming Liu, Li Zheng, Yang Zhang, Jinhui Tian

“…The related targets of PA were predicted and screened using the following 6 databases: Swiss Target Prediction, HERB (Herbal Medicine Database), ETCM (Encyclopedia of Traditional Chinese Medicine), BATMAN (Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine), HIT (Herb Ingredients’ Targets Database), and PharmMapper. …”
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Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis by Lichao Fan, Xiaoting Yu, Ziling Huang, Shaoqiang Zheng, Yongxin Zhou, Hanjing Lv, Yu Zeng, Jin-Fu Xu, Xuyou Zhu, Xianghua Yi

“…A microRNA-mediated regulatory network among the DE-miRNAs and DEGs was constructed that might shed new light on potential biomarkers for the prediction of IPF progression.…”
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Serum Albumin Is Independently Associated with Persistent Organ Failure in Acute Pancreatitis by Wandong Hong, Suhan Lin, Maddalena Zippi, Wujun Geng, Simon Stock, Zarrin Basharat, Bicheng Cheng, Jingye Pan, Mengtao Zhou

“…It may also be useful for the prediction of the severity of acute pancreatitis.…”
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Implementasi CPM dan PERT dalam Memprediksi Durasi serta Biaya Pembangunan Musala Al-Ikhlas di Kotawaringin Barat by Rifa Auliya'ul Husna, Nur Fadilatul Ilmiyah, Nalsa Cintya Resti

“…The results showed that the implementation of CPM and PERT can predict the duration of the mosque construction project which is shorter than the initial prediction. …”
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Analysis of a Family with Brugada Syndrome and Sudden Cardiac Death Caused by a Novel Mutation of SCN5A by Yao-Bin Zhu, Jian-Hui Zhang, Yuan-Yuan Ji, Ya-Nan Hu, Han-Lu Wang, Dan-Dan Ruan, Xiao-Rong Meng, Xin-Fu Lin, Jie-Wei Luo, Wei Chen

“…Among the surviving family members, only those with a Brugada wave on their electrocardiogram carried the c.4313dup(p.Trp1439ValfsTer32) variant. Bioinformatics prediction revealed that the frameshift of the c.4313dup (p.Trp1439ValfsTer32) mutant led to a coding change of 32 amino acids, followed by a stop codon, resulting in a truncated protein product. …”
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The effects of SN Ps in the regions of positioning RNA polymerase II on the TBP/promoter affinity in the genes of human circadian clock by O. A. Podkolodnaya, D. A. Rasskazov, N. L. Podkolodnyy, N. N. Podkolodnaya, V. V. Suslov, L. K. Savinkova, P. M. Ponomarenko, M. P. Ponomarenko

“…The SNP_TATA_Comparator web service was used for prediction of the effect of SNPs in the regions of positioning of RNA polymerase II on the dissociation constant for TBP / promoter. …”
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Correlation of Clinical Severity and Laboratory Parameters with Various Serotypes in Dengue Virus: A Hospital-Based Study by Pooja Rao, Achappa Basavaprabhu, Suchitra Shenoy, Nikhil Victor Dsouza, Basavaiah Sridevi Hanaganahalli, Vaman Kulkarni

“…The clinical spectrum along with laboratory parameters such as ferritin, liver enzymes, platelet can be used as potential biomarkers in prediction of dengue severity. The data demonstrated will be useful in early detection and monitoring of the disease.…”
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Improvement in Analytical Methods for Determination of Sugars in Fermented Alcoholic Beverages by Ayalew Debebe, Shibru Temesgen, Mesfin Redi-Abshiro, Bhagwan Singh Chandravanshi, Estifanos Ele

“…The MIR-PLS method was found to give good prediction of individual sugars: glucose, fructose, sucrose, and maltose in the alcoholic beverages with less than 4% error. …”
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Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks by Natarajan Yuvaraj, Kannan Srihari, Selvaraj Chandragandhi, Rajan Arshath Raja, Gaurav Dhiman, Amandeep Kaur

“…The machine learning methods greatly offer an efficient prediction ability in diagnosis system alternative with the clinicians. …”
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Fabrication of biocidal materials based on the molecular interactions of tetracycline and quercetin with hydroxyapatite via In Silico- and In vitro approaches by Anastasiia M. Isakova, Maxim A. Kutyrev, Aleksandra S. Kudasheva, Elizaveta V. Rogacheva, Lyudmila A. Kraeva, Sergey Shityakov, Mikhail V. Zhukov, Sviatlana A. Ulasevich, Ekaterina V. Skorb

“…The molecular docking method was used to predict the binding affinities of TET and QUE for HA. …”
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Assessing the declining trend in soil erodibility across China: A comparison of conventional and digital K-factor maps by Zhiyuan Tian, Yan Zhao, Longxi Cao, Yuan Zhao, Yin Liang

“…Soil erodibility is a measure of soil susceptibility to water erosion and serves as an essential element, also known as the K-factor, in empirical soil erosion prediction models, such as USLE, RUSLE, and CSLE. The currently available map of the K-factor for China was generated based on the conventional soil polygon linkage method and soil species survey conducted in the 1980s. …”
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Fear of Pain as a Predictor for Postoperative Pain Intensity among the Patients Undergoing Thoracoscopic Surgery by Yang Luo, Jingting He, Lihong Bao, Heng Meng, Cuihuan Hu, Quan Chen

“…FOP-9 and PCS showed significant positive prediction effect on worst pain. Conclusions. Both trait FOP and state FOP were associated with higher postoperative pain reports after thoracic surgery. …”
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Angiopoietin-like protein 4 dysregulation in kidney diseases: a promising biomarker and therapeutic target by Yan Li, Yan Li, Yan Li, Yuxin Zhang, Yuxin Zhang, Yuxin Zhang, Mengxia Cao, Mengxia Cao, Mengxia Cao, Tingting Yuan, Tingting Yuan, Tingting Yuan, Santao Ou, Santao Ou, Santao Ou

“…These findings underscore the important gaps that warrant further investigation to develop novel targets for the prediction or treatment of various renal diseases.…”
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Accelerating AI-Based Battery Management System’s SOC and SOH on FPGA by Satyashil D. Nagarale, B. P. Patil

“…The BiLSTM can predict the SOC of the 18650PF lithium battery cell with MAE smaller than 0.012% for training and 0.016% for testing. …”
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Pregnancy-Associated Plasma Protein-A: Its Significance as a Single Biomarker for Adverse Obstetric Outcomes by Madhusudan Dey, Priyanshi Choudhury, Sunil Chawla, Pranjali Dhume, Suyash Goel, Ankur Shah, Mounica Gowda KN

“…Further research would help the fraternity in developing a prediction model. …”
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Influence of tunnel construction on karst groundwater environment in central Huaying Mountain by Sheng CHENG, Mo XU, Qiang XIA

“…This study can provide basic information and theoretical support for route selection in the Huaying Mountain and parallel ridge-valley area of eastern Sichuan, as well as for water inrush prediction of karst tunnel and ecological environment protection.…”
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Temperature-dependent performance and constitutive modeling of additively manufactured Ti600 alloy by Tianhua Wen, Rui Fu, Sihang Xiao, Lei Zhang, Bo Song, Hongshuai Lei

“…Compared to the conventional Johnson-Cook constitutive model, the BTD model demonstrates superior accuracy in predicting stress-strain behavior at elevated temperatures. …”
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Synergistic effect of artificial intelligence and new real-time disassembly sensors: Overcoming limitations and expanding application scope by Bozhou Li, Dajiang Ju, Xingwang Li, Yan Liu, Hongru He, Hao Wang

“…With the acceleration of industrialization and the increase in the complexity of equipment, it is particularly important to accurately predict and effectively maintain equipment failures. …”
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