Two Small Peptides from <i>Buthus martensii</i> Hydrolysates Exhibit Antitumor Activity Through Inhibition of TNF-α-Mediated Signal Transduction Pathways by Mengshuang Zhu, Shanshan Zhang, Jiyang Tang, Hairong Hou, Lizhen Wang, Houwen Lin, Xuanming Zhang, Meng Jin

“…The small peptides (AK and GK) were identified using the LC-QTOF-MS-based approach. In silico prediction of therapeutic targets, MGC-803 cells and transgenic zebrafish models, and immunoblotting experiments were used to reveal the molecular mechanism of action of the peptides. …”
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Telomere Length and Oxidative Damage in Children and Adolescents with Autism Spectrum Disorder: A Systematic Review and Meta-Analysis by Leping Ma, Cui Liu, Ran Song, Yeping Qian, Feng Zhang

“…Conclusions: TL, 8-OHdG, TAC, HEL, 3-NT, and DT represent potential biomarkers for prediction of ASD in children and adolescents.…”
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The Role of PDGFs and PDGFRs in Colorectal Cancer by Roberta M. Manzat Saplacan, Loredana Balacescu, Claudia Gherman, Romeo I. Chira, Anca Craiu, Petru A. Mircea, Cosmin Lisencu, Ovidiu Balacescu

“…The aim of our study is to point out the diagnosis and prediction role of PDGF family and their receptors in colorectal carcinogenesis. …”
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Research on the movement process of erosion-denudation type debris flow in middle-low mountains based on particle algorithm model by Xiaofeng He, Yongfeng Gong, Jinkai Yan, Shichang Gao, Zheng He, Gang Zhang, Guorui Wang, Zhiyong Hu, Hui Wang

“…This study enhances our understanding of the dynamic characteristics of debris flows in northern Ningxia and provides valuable insights for hazard prediction and mitigation efforts in the region.…”
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Thermospheric Temperature and Density Variability During 3–4 February 2022 Minor Geomagnetic Storm by F. I. Laskar, E. K. Sutton, D. Lin, K. R. Greer, S. Aryal, X. Cai, N. M. Pedatella, R. W. Eastes, W. Wang, M. V. Codrescu, W. E. McClintock

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Longitudinal Range of the Eastward‐Traveling Equatorial Plasma Bubble Inducing Ionospheric Scintillation by P. Abadi, Y. Otsuka, S. Saito, M. Yamamoto, S. Perwitasari, I. N. Muafiry, A. Y. Putra, A. Faturahman

“…In conclusion, our research provides valuable insight into the ability of eastward‐traveling EPB to induce GNSS scintillation within a longitudinal range of 25°, thereby enhancing EPB and scintillation monitoring and prediction in regional space weather services.…”
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Narrow band based and broadband derived vegetation indices using Sentinel-2 Imagery to estimate vegetation biomass by A.B. Imran, K. Khan, N. Ali, N. Ahmad, A. Ali, K. Shah

“…Accuracy assessment shown the red-edge index has highest R² (0.64) and least error of (31.29 t/ha) and therefore the study concluded that narrowband indices performed better to estimate biomass and thus final model contained only red-edge index to predict biomass over the study area. The study suggests that more in-depth research should be conducted to explore further properties of red-edge indices for vegetation parameters prediction.…”
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DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

“…Finally, for the suboptimal training approach, we introduce Cross Prediction Optimization (CPO). CPO efficiently leverages the knowledge of the teacher model through a Cross-Head operation, thereby achieving more effective teacher-student interaction. …”
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Sinomenine attenuates uremia vascular calcification by miR-143-5p by Fengyi Yu, Zhong Peng, Ning Gao, Zixu Tang, Zihao Liao, Song Zhao, Shuzhu Zhong, Gloria Umwiza, Hong Huang, Wei Long, Zhangxiu He

“…We screened 9 differential expressed miRNAs and their predicted target genes. By qRT-PCR, we validated that the expression of rno-miR-143-5p was corresponding to our prediction. …”
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Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. by Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

“…Future research should explore the effectiveness of various imputation methods in diverse climatic and geographical contexts, as well as develop new techniques considering the temporal and spatial structure of meteorological data, to advance understanding and climate prediction.…”
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pH Sensitivity Estimation in Potentiometric Metal Oxide pH Sensors Using the Principle of Invariance by Siddharth Ravichandran, Chockalingam Thiagarajan, Ponnusamy Senthil Kumar

“…A numerically solvable engineering model has been proposed that predicts the sensitivity of metal oxide- (MOX-) based potentiometric pH sensors. …”
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Current status and development trends of deep coalbed methane research in China by Wei JU, Shu TAO, Zhaobiao YANG, Jiayao CHENG, Haiyan SHANG, Weike NING, Chunlong WU

“…Geological and engineering "dual sweet spot" prediction is a key research focus for deep CBM research. …”
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Oscillometry reference values for children and adolescents by Christoph Valach, Emiel F. M. Wouters, Alina Ofenheimer, Pasquale Pio Pompilio, Alessandro Gobbi, Marie-Kathrin Breyer, Sylvia Hartl, Chiara Veneroni, Tobias Mraz, Caspar Schiffers, Otto Chris Burghuber, Ahmad Karimi, Christoph Gross, Charles Irvin, Robab Breyer-Kohansal

“…Oscillometry data were collected using a single frequency mode of 8 Hz. Sex-specific prediction equations were developed for total, inspiratory and expiratory resistance (R) and reactance (X) as well as for the modulus of impedance (Z) value using the LMS (lambda, mu, sigma) method. …”
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Experimental Investigation on Hydraulic Properties of Granular Sandstone and Mudstone Mixtures by Dan Ma, Xin Cai, Zilong Zhou, Xibing Li

“…The empirical model has a high degree of predictive accuracy; however, κ has a higher predictive accuracy than ζ. …”
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Machine learning based compact MIMO antenna array for 38 GHz millimeter wave application with robust isolation and high efficiency performance by Md. Ashraful Haque, Md. Sharif Ahammed, Soeung Socheatra, Redwan A. Ananta, Md. Jamal Hossain Nirob, Narinderjit Singh Sawaran Singh, Noorlindawaty Md. Jizat, Saeed Alsowail, Samir Salem Al-Bawri

“…Lasso regression yields excellent results in terms of accuracy and achieves the lowest degree of error when testing the bandwidth prediction. Considering everything, the antenna stands out as a top choice for the 5 G communication system's high band. …”
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3D highly isolated 6-port tri-band MIMO antenna system with 360° coverage for 5G IoT applications based machine learning verification by Md Afzalur Rahman, Samir Salem Al-Bawri, Sultan S. Alharbi, Wazie M. Abdulkawi, Noorlindawaty Md Jizat, Mohammad Tariqul Islam, Abdel-Fattah A. Sheta

“…In addition, the machine learning prediction is used to verify the single element realized gain, and the results demonstrate that it performs admirably with an accuracy of more than 89% using the random forest regression model throughout the entire frequency spectrum. …”
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Comparison of Modified Biophysical Profile with Doppler Ultrasonographic Analysis in Determining Fetal well Being in the Third Trimester by Kadir Bakay, Ahmet Varolan, Ali Yazgan, Atif Akyol, İnci Davas

“…In conclusion, in order to effectively predict acute fetal distress and to maintain a reliable screening method, combined use of these tests, namely modified biophysical profile and umbilical artery Doppler analysis, has proven to be the most valuable and effective method as shown in our study. …”
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China’s CBM exploration and production and associated technological advancements: A review and reflections by Jianping YE

“…The geology-engineering integration serves as an effective method for the prediction and assessment of play fairways, well deployment, and the research and development of adaptive technologies. …”
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Critical quality indicators of high-performance polyetherimide (ULTEM) over the MEX 3D printing key generic control parameters: Prospects for personalized equipment in the defense... by Nectarios Vidakis, Markos Petousis, Constantine David, Nektarios K. Nasikas, Dimitrios Sagris, Nikolaos Mountakis, Mariza Spiridaki, Amalia Moutsopoulou, Emmanuel Stratakis

“…Two additional confirmation runs were conducted, to ensure reliability. Prediction equations were constructed to express the quality indicators in terms of the control parameters. …”
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FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution by Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

“…Through the organic fusion of these two modules, the FedBFGCN achieves efficient, robust, and more comprehensive node embedding representation, demonstrating excellent performance in node classification and prediction tasks. In addition, this framework also uses homomorphic encryption methods to enhance privacy protection and improve data security. …”
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