Lethal intimate partner violence and gendered dimensions of the COVID-19 lockdown in Nigeria: evidence from a descriptive analysis of secondary data by Vitalis U Ukoji, Vitus N Ukoji

“…This research aims to shed light on the impact of the pandemic lockdown on IPV-related mortalities.Methods The study used secondary data from the Nigeria Watch database, an online resource on lethal violence and human security in Nigeria. It relied on IPV datasets extracted and analysed descriptively at the univariate level.Results Results indicate a steady increase in IPV-related mortalities, with 205 fatalities—62 in 2019, 69 in 2020 and 74 in 2021—resulting from 180 IPV incidents. …”
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MRM-BERT: a novel deep neural network predictor of multiple RNA modifications by fusing BERT representation and sequence features by Linshu Wang, Yuan Zhou

“…MRM-BERT was evaluated on multiple datasets of 12 commonly occurring RNA modifications, including m6A, m5C, m1A and so on. …”
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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

“…This paper introduces the crafting of various features for hourly electric load forecasting on three different datasets using four different models XGBoost, LightGBM, Bi-LSTM, and Random Forest. …”
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Targeted Discrepancy Attacks: Crafting Selective Adversarial Examples in Graph Neural Networks by Hyun Kwon, Jang-Woon Baek

“…We systematically explain the principles and structure of our method and evaluate its performance through experiments conducted on a GNN using the Reddit, ogbn-product, and Citeseer datasets. Our results demonstrate the effectiveness of the proposed approach in generating selective adversarial examples, highlighting its potential applications in military environments, where the ability to selectively target adversary models is crucial. …”
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Flexure Behaviour of Corroded Reinforcement Concrete Beams Under Sustained Loads by Abed Al-Mortadha O., Daud Sultan A.

“…This paper aims to investigate the long-term performance of reinforced concrete (RC) beams with corroded reinforcement numerically. Two experimental datasets from existing literature were selected to build a nonlinear finite element model. …”
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Chatbot Programmes’ ‘Arms Race’: Africa and Artificial Intelligence (AI) Ethics by Tapiwa Chagonda

“…The benefits of AI generative technologies such as chatbots in fields such as the academy; health; agriculture; music and art, have been touted in recent times, but the ethical concerns around issues of bias; possible proliferation of misinformation from algorithms that are trained on datasets that are not fully representative of the global South’s realities, especially Africa; breaches in privacy issues and threats of job losses, still linger. …”
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Elevated few-shot network intrusion detection via self-attention mechanisms and iterative refinement. by Congyuan Xu, Yong Zhan, Guanghui Chen, Zhiqiang Wang, Siqing Liu, Weichen Hu

“…Experimental results indicate that this method achieved detection rates of 99.90% and 98.23% on the CICIDS2017 and CICIDS2018 datasets, respectively, using only 10 samples.…”
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Success or Failure in the City? Social Mobility and Rural-Urban Migration in Nineteenth- and Early-Twentieth-Century Groningen, the Netherlands by Richard Paping, Jacek Pawlowski

“…This article studies the relation between rural-urban migration and the upward and downward social mobility of different social groups from the perspective of the sending countryside and not of the receiving city. It utilizes two datasets regarding people born in the Groningen clay soil region (the Netherlands). …”
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Comprehensive Landscape of ARID Family Members and Their Association with Prognosis and Tumor Microenvironment in Hepatocellular Carcinoma by Ji Sun, Nan-sheng Cheng

“…In this study, we performed comprehensive analysis using TCGA datasets, finding that the expressions of ARID4B, ARID2, ARID3B, JARID2, ARID1A, ARID1B, and ARID3A were increased in HCC specimens compared to nontumor specimens, while the expressions of ARID4A and ARID3C were decreased in HCC specimens. …”
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Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

“…Integrative multi-omics approaches use multi-layered datasets such as genomic, transcriptomic, proteomic, and metabolomic data to understand biological processes much more comprehensively compared to the single-omics analysis and to provide a comprehensive view of cellular and molecular processes. …”
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Success or Failure in the City? Social Mobility and Rural-Urban Migration in Nineteenth- and Early-Twentieth-Century Groningen, the Netherlands by Richard Paping, Jacek Pawlowski

“…This article studies the relation between rural-urban migration and the upward and downward social mobility of different social groups from the perspective of the sending countryside and not of the receiving city. It utilizes two datasets regarding people born in the Groningen clay soil region (the Netherlands). …”
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DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network by Yuxin Jin, Yuhan Mao, Genlang Chen

“…Experimental findings reveal that when the proposed model is tested on six public datasets, in comparison with five classic models it reduces the MSE by an average of 9.67%, with a maximum improvement of 40.23%.…”
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A droplet state prediction method for inkjet printing under small sample conditions based on the two-stage TrAdaBoost.R2 algorithm by Yuanyuan Jia, Xiaoding Cheng, Wenai Song, Yaojian Zhou, Haofan Zhao

“…In this study, a voltage-driven signal-based ink droplet state prediction model suitable for a small sample data environment is proposed. Seven public ink datasets and self-collected experimental data are grouped together, and the decision tree, AdaBoost.R2, and two-stage TrAdaBoost.R2 algorithms are used, respectively. …”
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Safety Assessment and a Parametric Study of Forward Collision-Avoidance Assist Based on Real-World Crash Simulations by MohammadReza Seyedi, MohammadReza Koloushani, Sungmoon Jung, Arda Vanli

“…A total number of 16000 simulations have been conducted which produced input-output datasets for further investigations. Finally, the effects of input parameters on simulation outcomes including crash occurrence, AEB activation, injury risk, and vehicle damage have been quantified using the Boruta algorithm. …”
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Fast approximation of the top‐k items in data streams using FPGAs by Ali Ebrahim, Jalal Khalifat

“…In addition, experimental results on both synthetic and real datasets, when implementing the accelerator on an Intel Arria 10 GX 1150 FPGA device, showed very good accuracy and significant throughput gains compared to the existing software and hardware‐accelerated solutions. …”
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Progressive alignment and interwoven composition network for image stitching by Xiaoting Fan, Long Sun, Zhong Zhang, Tariq S. Durrani

“…Experimental results on benchmark datasets demonstrate that PAIC-Net outperforms state-of-the-art image stitching methods both quantitatively and qualitatively.…”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…The results on two PV datasets demonstrate that DSFA-SwinNet significantly enhances detection accuracy and scalability for multi-scale PV areas.…”
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Cellular senescence-associated genes in rheumatoid arthritis: Identification and functional analysis. by You Ao, Qing Lan, Tianhua Yu, Zhichao Wang, Jing Zhang

“…We started by selecting five RA datasets from GEO. Next, we pinpointed 29 differentially expressed genes (DEGs) linked to cellular senescence in RA, aligning them with genes from CellAge. …”
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A Review on Covid-19 Detection Using Artificial Intelligence from Chest CT Scan Slices by Dhanshri M. Mali, S. A. Patil

“…The study also examines publicly available datasets and benchmarks for evaluating deep learning model performance. …”
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The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study by Fatimah Alhafiz, Abdullah Basuhail

“…The global model’s generalization capability is evaluated using centralized testing data before dissemination to participating nodes, where local assessments facilitate personalized adaptations tailored to diverse datasets. Addressing data heterogeneity, a critical challenge in medical imaging, is essential for improving both global performance and local personalization in FL systems. …”
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