Induction of apoptosis and autophagy by calcifying nanoparticles in human bladder cancer cells by Ji-Hua Wu, Yao-Liang Deng, Quan Liu, Jun-Chuan Yu, Yun-Long Liu, Zi-Qi He, Xiao-Feng Guan

“…Calcifying nanoparticles have been linked to various types of human disease, but how they contribute to disease processes is unclear. Here, we examined whether and how calcifying nanoparticles isolated from patients with kidney stones are cytotoxic to human bladder cancer cells. …”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

“…Additive manufacturing (AM) presents significant opportunities for advancing sustainability through optimized process control and material utilization. This research investigates the application of machine learning (ML) models to directly associate AM process parameters with sustainability metrics, which is often a challenge by experimental methods alone. …”
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Kaligentong village community empowerment: Cassava-based innovation for sustainable welfare by Kurnia Pramudya, Muhtadi Muhtadi, Suranto Suranto, Utomo Chandra Wisnu

“…The farmers group primarily markets raw agricultural produce, lacking post-harvest processing skills. FWE women encounter difficulties in cassava processing, packaging, and product diversification. …”
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The Role of Digital Infrastructure and Skills in Enhancing Labor Productivity: Insights from Industry 4.0 in the European Union by Ofelia Ema Aleca, Florin Mihai

“…Using econometric methods, including linear regressions and fixed-effects panel regressions, the analysis highlights the important role digital skills play in boosting productivity. It also identifies the adoption of cloud solutions as a catalyst for process efficiency, while widespread high-speed internet coverage supports the connectivity of smart systems. …”
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Atomistic simulations of PAP248-286 peptide oligomerization by A.O. Nikitina, A.R. Yulmetov, A.M. Kusova, V.V. Klochkov, D.S. Blokhin

“…It was confirmed that the process of fibril formation of PAP248-286 starts with a pairwise parallel arrangement of the peptide helical regions.…”
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Prediction of cold chain loading environment for agricultural products based on K-medoids-LSTM-XGBoost ensemble model by Zhijie Luo, Wenjing Liu, Jianhao Wu, Huang Aiqing, Jianjun Guo

“…Cold chain loading is a crucial aspect in the process of cold chain transportation, aiming to enhance the quality, reduce energy consumption, and minimize costs associated with cold chain logistics. …”
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Explainable classification of goat vocalizations using convolutional neural networks. by Stavros Ntalampiras, Gabriele Pesando Gamacchio

“…More specifically, we conducted an explainability analysis to identify the time-frequency content within goat vocalisations that significantly impacts the classification process. Such an XAI-driven validation not only provides transparency in the decision-making process of the CNN model but also sheds light on the acoustic features crucial for distinguishing the considered classes. …”
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Metrics and Algorithms for Identifying and Mitigating Bias in AI Design: A Counterfactual Fairness Approach by Dongsoo Moon, Seongjin Ahn

“…To validate the framework, we conducted empirical experiments using random forest and eXtreme Gradient Boosting models on the xAPI-Edu-Data dataset. Our results demonstrate significant improvements in demographic parity and equal opportunity fairness metrics while maintaining high predictive performance. …”
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Data fusion-based improvements in empirical regression and machine learning for global daily ∼ 8 km resolution sea surface nitrate estimation and interpretation by Aifen Zhong, Difeng Wang, Fang Gong, Jingjing Huang, Zhuoqi Zheng, Xianqiang He, Qing Zhang, Qiankun Zhu

“…For the machine learning models, seven algorithms, namely, extremely randomized trees (ET), multilayer perceptron (MLP), stacking random forest (SRF), Gaussian process regression (GPR), support vector machine (SVM), gradient boosting decision tree (GBDT), and extreme gradient boosting (XGBoost) algorithms, were tested. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…For each rock class, we applied regression techniques—such as random forest (RF), k-nearest neighbors (k-NN), extreme gradient boosting (XGB), and artificial neural networks (ANN)—to estimate the logarithm of capillary pressure. …”
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Enhancing Crop Nitrogen Efficiency: The Role of Mixed Nitrate and Ammonium Supply in Plant Growth and Development by Zhiqi Yang, Huifeng Yan, Haiwei Liu, Lan Yang, Guohua Mi, Peng Wang

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Amplifying swift-trust, collaboration, and teamwork in warehouse management through blockchain-enabled technology by Sadia Samar Ali, Syed Aqib Jalil, Murshid Kamal, Rudra Rameshwar

“…The findings reveal that practices such as quality inspection and information sharing play a pivotal role in boosting warehouse performance. Additionally, the integration of blockchain technology led to significant improvements in transaction speed and operational efficiency. …”
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Coordination of the European Research Community on Nuclear Materials for Energy Innovation: the research agenda of the CONNECT-NM co-funded European partnership by Malerba Lorenzo, Férnandez Vanoni Maria Luisa, Pecelerowicz Michał, Gentile Marialuisa, Angiolini Massimo, Rabung Madalina, Oksa Maria, Bertolus Marjorie

“…CONNECT-NM is a recently launched co-funded European partnership that deals specifically with boosting innovation in the field of nuclear materials. …”
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Role of gut microbiome in suppression of cancers by Yao Xu, Zhaoyu Gao, Jiaying Liu, Qianqian Yang, Shunjiang Xu

“…In recent years, a large number of studies have shown that dysbiosis of the gut microbiome is involved in the entire process of cancer initiation, development, and prognosis by influencing the host immune system and metabolism. …”
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Core microbes regulate plant-soil resilience by maintaining network resilience during long-term restoration of alpine grasslands by Yao Du, Yan Yang, Shengnan Wu, Xiaoxia Gao, Xiaoqing He, Shikui Dong

“…These insights underscore the critical roles of microbial communities in grassland restoration and suggest new strategies for boosting grassland resilience by safeguarding core microbes.…”
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Comprehensive assessment on estimating the thermodynamic and mechanical properties of multicomponent Fe–Cr-based alloys using machine learning techniques by Ahed Habib, Bashar Alibrahim, Mahdi Z. Alnunu, Hussein Moussa, Maan Habib

“…Within the study context, the models applied include a mix of simplified and advanced techniques, such as multiple linear regression, artificial neural networks, random forest, and gradient boosting. Accordingly, the significance of this research lies in enhancing the design process of Fe–Cr alloys by providing accurate and computationally efficient predictions of essential material properties and reporting important insights on factors affecting their performance through a machine learning-based sensitivity analysis.…”
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Transformer Fault Diagnosis Utilizing Feature Extraction and Ensemble Learning Model by Gonglin Xu, Mei Zhang, Wanli Chen, Zhihui Wang

“…The final step involves optimizing the Light Gradient Boosting Machine (LightGBM) model using IAOS algorithm for transformer fault classification; this model is an ensemble learning model. …”
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Research Progress on Regulation of Tumor Immune Microenvironment via Reactivation of Unbalanced Mitochondria in Traditional Chinese Medicine by Mengying PENG, Lihong FAN, Changxing SHEN

“…The main transport of spleen refers to the biological oxidation process of food in the mitochondria, and its normal function is closely related to the integrity of the mitochondrial structure and function of the cell. …”
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Battery System Fault Detection: A Data-Driven Aggregation and Augmentation Strategy by Zhiming Zhang, Dan Zhang, Dejun Li, Yi Liu, Jiong Yang

“…Subsequently, an advanced feature augmentation process is employed to enhance feature separability through multi-dimensional transformation techniques. …”
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Fungal Biotechnology Applications in Sustainable Oil Extraction by Mariana B. Barbieri, Dario Corrêa Junior, Susana Frases

“…This integration respects local cultural practices while optimizing extraction processes, ensuring minimal ecological disruption. …”
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