Improving Indonesian students' mathematical literacy with brain-based learning: a comparative study of pisa scores by Thesa Kandaga, Elang Krisnadi, Suci Nurhayati, Valeria Yekti Kwasaning Gusti

“…The results of the n-gain analysis indicated that the data were normally distributed with homogeneous variances. …”
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Proposed SmartBarrel System for Monitoring and Assessment of Wine Fermentation Processes Using IoT Nose and Tongue Devices by Sotirios Kontogiannis, Meropi Tsoumani, George Kokkonis, Christos Pikridas, Yorgos Kotseridis

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Privacy-Preserving Spatial Crowdsourcing Drone Services for Postdisaster Infrastructure Monitoring: A Conditional Federated Learning Approach by Junaid Akram, Awais Akram, Palash Ingle, Rutvij H. Jhaveri, Ali Anaissi, Adnan Akhunzada

“…A key challenge in FL is the presence of nonindependent and identically distributed data across clients, which degrades global model performance. …”
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A global Swin-Unet Sentinel-2 surface reflectance-based cloud and cloud shadow detection algorithm for the NASA Harmonized Landsat Sentinel-2 (HLS) dataset by Haiyan Huang, David P. Roy, Hugo De Lemos, Yuean Qiu, Hankui K. Zhang

“…All the CloudSEN12 annotations with coincident HLS Sentinel-2 data were considered. A total of 8672 globally distributed 5 × 5 km data sets were used, 7362 to train the model, 464 for internal model validation, and 846 to independently assess the classification accuracy. …”
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Signaling competence of agricultural businesses through social media presence to attract gen Z by Anggraeni Pranandari, Widya Paramita

“…About 376 data units were collected and analyzed using the moderated mediation model in Hayes' PROCESS Macro. …”
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STUDENTS' MATHEMATICAL REPRESENTATION AND REASONING SKILLS THROUGH AN ETHNOMATHEMATICS-BASED RME APPROACH by Luis Matital, Tanwey G Ratumanan, Christina M Laamena

“…The normality test showed that the data in both groups were normally distributed. The data homogeneity test also shows that the data in both groups are homogeneous. …”
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Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees by Cheng Shen, Yuewei Liu

“…The detection model is improved by retraining with calibration data that is assumed to be independent and identically distributed (i.i.d) with the test data. …”
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A sparse and invisible targeted backdoor attack in federated learning by Qikun Zhang, Mengyang Yu, Ruifang Wang, Yongjiao Li, Junling Yuan, Yu-an Tan

“…Abstract In distributed edge Computing scenarios within the Internet of Things (IoT), individual clients are susceptible to adversarial backdoor attacks, wherein malicious modifications to local data may be introduced. …”
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SPLAS: An Autonomous Lightweight and Versatile Image Classification Robustness Benchmark by Yiming Bian, Arun K. Somani

“…It contains <inline-formula> <tex-math notation="LaTeX">$50\,000$ </tex-math></inline-formula> images evenly distributed over <inline-formula> <tex-math notation="LaTeX">$1\,000$ </tex-math></inline-formula> classes and evaluates a classification model in five aspects: accuracy on intrinsically difficult images, images with partial information, robustness against low resolution, adversarial attacks, and speckle noise. …”
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Cooperative MAC protocol based on network coding and space-time coding by Qian-bin CHEN, Jian LIU, Yong FENG, Lun TANG

“…Aiming at the problems in wireless ad hoc networks,such as relays’ low efficiency caused by cooperation and difficult to meet the different QoS requirements,a co e MAC protocol was proposed based on the combination of network coding and space-time coding(NSTCMAC).Based on NSTCMAC protocol with the combination of Network coding and space-time coding techniques,a kind of cooperative MAC transmission mechanism that could distinguish the type of DATA packet was designed in order to meet the QoS requirements of different types of transm Further more,cooperative transmission mechanism and its performance were analyzed through Markov chain model.When transmitting the non-real-time(NR) packets,network coding was adopted to improve the efficiency of relay nodes; when transmitting the real-time(R) packets,randomized distributed space-time coding(R-DSTC)was used to enhance the reliability of transmission.Simulation results show that NSTCMAC protocol can meet different QoS requirements better,and solve the problem of relays’ low efficiency more effectively,when compared with legacy DCF、COOPMAC and CD-MAC protocol.…”
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Detection of water-rich areas and seepage channels via the transient electromagnetic method, electrical resistivity tomography, and self-potential method by Peng Wang, Fan Li, Kai Lu, Wei Huang

“…The transient electromagnetic data facilitated the construction of a three-dimensional geoelectric model of the mine, from which the planar distribution of resistivity in the medium to coarse sandstone layers—likely reservoirs of groundwater—was derived. …”
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Control strategy evaluation for reactive power management in grid-connected photovoltaic systems under varying solar conditions by Suleyman Adak

“…This research addresses this gap by modeling the dependence of reactive power on solar irradiance using a data-driven curve-fitting approach. …”
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DETERMINING KEY DETERMINANTS OF DEMAND FOR INTERNATIONAL RESERVES IN UKRAINE: COINTEGRATION ANALYSIS by M. I. Makarenko, D. V. Gordieieva

“…In this paper we searched for the most important determinants of reserve holdings inUkraineusing quarterly data from 2000 to 2013 years. We evaluated their importance using two econometric techniques: autoregressive distributed lag (ARDL) approach and Vector Error Correction model (VECM) approach. …”
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Burden of mortality attributable to diurnal temperature range in Thailand: a nationwide case-crossover analysis from 2007 to 2021 by Chittamon Sritong-aon, Arthit Phosri, Tanasri Sihabut, Tawach Prechthai

“…In the second stage, these province-specific estimates were pooled using a multivariate meta-regression model to obtain the national-level estimate. Finally, the mortality burden attributable to variations in DTR was determined using a backward perspective based on the relative risks obtained from the distributed lag non-linear model (DLNM). …”
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5G-Practical Byzantine Fault Tolerance: An Improved PBFT Consensus Algorithm for the 5G Network by Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng

“…Practical Byzantine Fault Tolerance (PBFT) plays a crucial role in blockchain consensus algorithms by providing a robust mechanism to achieve fault-tolerant and deterministic consensus in distributed networks. With the development of 5G network technology, its features of high bandwidth, low latency, and high reliability provide a new approach for consensus algorithm optimization. …”
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MICROFINANCE ACTIVITIES AND THEIR LONG-RUN IMPACT ON ECONOMIC GROWTH IN NIGERIA: EVIDENCE FROM ARDL ANALYSIS (1993-2023) by BiliqeesAyoola Abdulmumin, PhD

“…The study employed the Autoregressive Distributed Lag (ARDL) model for the data analysis, the findings show that microfinance savings significantly boost GDP in the long run, while lending and investment exhibit statistically insignificant effects. …”
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A novel mast cell marker gene-related prognostic signature to predict prognosis and reveal the immune landscape in head and neck squamous cell carcinoma by Yingmiao Lin, Fangcai Wu, Xuchun Huang, Zhihan Zhang, Cantong Liu, Yiwei Lin, Yiwei Xu, Haipeng Guo, Chaoqun Hong

“…In addition, the low-risk group was more sensitive to a broader range of drugs than the high-risk group.ConclusionWe combined scRNA-seq data and bulk RNA-seq data to construct a 14-MRGs-based prognostic model capable of well predicting the prognosis of HNSCC patients. …”
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CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland by B. Kraft, M. Schirmer, W. H. Aeberhard, M. Zappa, S. I. Seneviratne, L. Gudmundsson

“…</p> <p>Furthermore, the low data requirements and computational efficiency of our model pave the way for simulating diverse scenarios and conducting comprehensive climate attribution studies. …”
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Coal wall deformation monitoring and concentrated load inversion technology based on intelligent support devices by YU Xiang, WANG Guofa, WANG Jiachen, LI Lianghui, WU Haoyang, WANG Yubing

“…To overcome the limitations of theoretical calculations for stress conditions of structural components with varying cross-sections under complex working conditions, a corresponding relationship between micro-mechanical and macro-mechanical parameters was established using distributed grating strain data based on the PSO-RBF neural network model. …”
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Improving person re-identification based on two-stage training of convolutional neural networks and augmentation by S. A. Ihnatsyeva, R. P. Bohush

“…At the first stage, training is carried out on augmented data, at the second stage, fine tuning of the CNN is performed on the original images, which allows minimizing the losses and increasing model efficiency. …”
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