Frugal business model innovation in an Indian emerging market: a multiple case study by Saqib Natasha

“…Practical implications include the adoption of decentralised distribution models, customisation of products/services and investment in capacity-building and training programmes. …”
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Build and application of automatic classification model of land damage in the middle section of Tianshan Mountains by Zizhao ZHANG, Peizhi LIU, Yang HU, Kai CHEN, Junpeng HUANG, Guangming SHI, Yanyang ZHANG, Runsen LAI, Jianhua ZHU, Xueye WANG, Weinan CHEN

“…Firstly, according to the high-resolution series of remote sensing images, a sample set of 59198 samples was constructed for the middle section of the Tianshan Mountains, which was extended to 177594 samples through data augmentation. Then, the SENetV2-COT-DeepLabV3 model was trained to improve its generalization ability and recognition accuracy, and accurately grasp the distribution and extent of land damage caused by mineral resource development. …”
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Spatiotemporal evolution of carbon emissions and influencing factors in county-level based on nighttime lighting data: a case study in Huaihai economic zone core city by Zihan Wu, Bo Sun, Xiang Ji

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Investigation of the Contact Characteristics of a Single-Nut Ball Screw Considering Geometric Errors by Jun Liu, Huaxi Zhou, Xiaoyi Wang, Changguang Zhou

“…This study focuses on the load distribution of single-nut ball screws under low-speed working conditions. …”
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Object Re-Identification Based on Federated Incremental Subgradient Proximal Optimization by Li Kang, Chuanghong Zhao, Jianjun Huang

“…However, traditional centralized ReID methods face challenges related to privacy protection and data storage. Federated learning, as a distributed machine learning framework, can utilize dispersed data for model training without sharing raw data, thereby reducing communication costs and ensuring data privacy. …”
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Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine (Pinus massoniana) by Jinjin Chen, Xuejian Li, Zihao Huang, Jie Xuan, Chao Chen, Mengchen Hu, Cheng Tan, Yongxia Zhou, Yinyin Zhao, Jiacong Yu, Lei Huang, Meixuan Song, Huaqiang Du

“…Compared with the RF model using only Sentinel-2 data (R = 0.43), the RF model with combined LiDAR and Sentinel-2 data achieved the highest accuracy, with R values 88.37% higher. …”
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Removal of Cerium from Aqueous Solutions by Amino Phosphate Modified Nano TiO2: Kinetic, and Equilibrium Studies by Z. Shojaei, E. Iravani, M.A. Moosavian, M. Torab-Mostaedi

“…Effects of pH of solution, adsorbent dose, contact time, initial metal concentration and temperature were examined. Experimental data were fitted well by the pseudo second order model. …”
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Tensor-Based Cybersecurity Analysis of Smart Grids Using IT/OT Convergence by Danial Jafarigiv, Keyhan Sheshyekani, Marthe Kassouf

“…An approximate CANDECOMP/PARAFAC (CP) decomposition and Higher Order Singular Value Decomposition (HOSVD) are used to exploit the underlying hidden patterns in the low-rank data tensors. The effectiveness of the low-rank modeling using both decompositions is confirmed by demonstrating relatively low reconstruction error. …”
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GPP estimation based on CatBoost and analysis of change driving factors in Shanxi Province, China by Yujie Li, Xuanguang Liu, Zhenchao Zhang, Jun Lang

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Model-Based Approach for Clustering Regencies/Cities in The Land of Papua Based on Food Security Indicators by Ridson Alfarizal, Safira Fauziana Thahar, Shodaidah Ika Mardani, Syairilla Muthia Ramadhan, Leandro Pandapotan Marpaung, Tiodora Hadumaon Siagian

“…Keywords: food security, model-based clustering, multivariate t distribution, Land of Papua …”
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A novel ensemble model for multi-temporal forest vegetation classification: integrating spectral-temporal features and topographic constraints by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang

“…Moreover, single-model frameworks frequently suffer from limited generalization and low reliability when applied to complex, large-scale regions. …”
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Measuring the accessibility of emergency shelters based on an improved two-step floating catchment area model by Yongyang Xu, Chiyu Zhou, Bin Hu

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Lung cancer risk and its potential association with PM2.5 in Bagmati province, Nepal—A spatiotemporal study from 2012 to 2021 by Basanta Kumar Neupane, Basanta Kumar Neupane, Bipin Kumar Acharya, Bipin Kumar Acharya, Chunxiang Cao, Min Xu, Pornpimol Kodsup Taylor, Pornpimol Kodsup Taylor, Shaohua Wang, Yujie Yang, Yujie Yang

“…This study investigates the spatiotemporal distribution patterns of lung cancer incidence and potential association with particulate matter (PM2.5) in Bagmati province, Nepal.MethodsWe performed a spatiotemporal study to analyze the LC – PM2.5 association, using LC and annual mean PM2.5 concentration data from 2012 to 2021. …”
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The impact of artificial intelligence (AI) on maternal mortality: evidence from global, developed and developing countries by Nicholas Ngepah, Charles S. Saba, Ariane Ephemia Ndzignat Mouteyica, Abieyuwa Ohonba

“…Despite advancements, maternal mortality remains disproportionately high in developing countries due to weaker healthcare infrastructure. Methods Using panel data from 70 countries (1990–2022), sourced from WHO’s Global Burden of Disease (GBD), World Bank’s World Development Indicators (WDI), UNCTAD, and the World Robotics database, we apply the Difference-in-Differences (DiD) approach to assess AI’s impact over time and the Auto-Regressive Distributed Lag (ARDL) model to examine short- and long-term effects. …”
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The Effect of the Problem Posing Learning Model on the Critical Thinking Skills of Fifth Grade Students in Mathematics by Dela Fitriani, Nurul Hidayah, Muhammad Muchsin Afriyadi

“… The learning process applied by educators has varied in the use of learning models; however, students' critical thinking skills are still considered low. …”
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Smart Microgrid Management and Optimization: A Systematic Review Towards the Proposal of Smart Management Models by Paul Arévalo, Dario Benavides, Danny Ochoa-Correa, Alberto Ríos, David Torres, Carlos W. Villanueva-Machado

“…However, challenges remain regarding interoperability, data privacy, cybersecurity, and the limited availability of high-quality data for AI model training. …”
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Detecting Potential Investors in Crypto Assets: Insights from Machine Learning Models and Explainable AI by Timotej Jagrič, Davor Luetić, Damijan Mumel, Aljaž Herman

“…Data were collected through an online questionnaire distributed via social media and personal networks, yielding a limited but informative sample. …”
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An Investigation on Formaldehyde Emission Characteristics of Wood Building Materials in Chinese Standard Tests: Product Emission Levels, Measurement Uncertainties, and Data Correla... by Wei Song, Yang Cao, Dandan Wang, Guojun Hou, Zaihua Shen, Shuangbao Zhang

“…In PE and D9 tests, blockboards and parquets reached E1 grade for PFE, which can be directly used in indoor environment; but in D40 and EC tests, floorings and parquets achieved E1. (2) In multiple tests, PFE data characterized by PE, D9, and D40 complied with Gaussian distributions, while those characterized by EC followed log-normal distributions. …”
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Spatiotemporal Dynamics and Prediction of Habitat Quality Based on Land Use and Cover Change in Jiangsu, China by Ge Shi, Chuang Chen, Qingci Cao, Jingran Zhang, Jinghai Xu, Yu Chen, Yutong Wang, Jiahang Liu

“…This study utilizes the land use data of Jiangsu Province for the years 2000, 2010, and 2020, applying the FLUS model to investigate the driving force behind land expansion and to simulate a prediction for the land use of 2030. …”
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Enhancing Diffusion-Based Music Generation Performance with LoRA by Seonpyo Kim, Geonhui Kim, Shoki Yagishita, Daewoon Han, Jeonghyeon Im, Yunsick Sung

“…Despite the success of various models, such as MusicLM, MusicGen, and AudioLDM, the current approaches struggle to capture fine-grained genre-specific characteristics, precisely control musical attributes, and handle underrepresented cultural data. …”
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