Development of Ferrero Nutrition Criteria: category-specific, progressive guidelines for product innovation by Federico Canzoneri, Mélanie Charron, Adam Drewnowski, Emanuela Alzari, Marta Biolatti, Emanuela Cavalli, Marco Franci, Stefania Giri, Fritz Maingrette, Maria Malgorzata Maj, Ileana Manera, Ginevra Rosso, Vittoria Russo, Gloria Veneziani, Sebastiano Collino, Enrico Pavesi

“…Often category-specific, such standards are used to guide product innovation and new product development.ObjectiveTo develop Ferrero Nutrition Criteria (FNC), a new set of progressive nutrition standards for internal use to evaluate product portfolio and to guide product formulation and development.MethodsThe FNC was developed with reference to a publicly available database, the Food and Nutrient Database for Dietary Studies (FNDDS 2017-18) and the corresponding Food Pattern Equivalents Database (FPED), both maintained by the US Department of Agriculture. …”
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CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

“…Machine Learning (ML) in Solar Photovoltaic (PV) systems refers to the application of algorithms and statistical models that enable computers to perform specific tasks without using explicit instructions, relying instead on patterns and inference. …”
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CLINICO-BIOLOGICAL PROFILE AND MANAGEMENT OF CHRONIC LYMPHOCYTIC LEUKEMIA by Vasile Musteata, Vasile Cepraga, Larisa Musteata

“…The objective of the study was highlighting the clinical evolution and hematological patterns, as well as the assessment of short- and long-term results of treatment of patients with CLL. …”
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Experimental Investigation of Hydrodynamics and Mass Transfer in Dense Fluidized Beds by Laura Molignano, Maurizio Troiano, Roberto Solimene, Fabrizio Scala, Piero Salatino

“…PDF display multimodal patterns in the part referring to the emulsion phase at increasing gas superficial velocity, highlighting the co-existence of sub-phases characterized by different voidage values. …”
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Effect of Tadalafil on cardiac function and left ventricular dimensions in Duchenne muscular dystrophy: safety and cardiac MRI substudy results from a randomized, placebo-controlle... by David Cox, Barry Byrne, David W. Hammers, John Landry, H. Lee Sweeney

“…Z-scores for ventricular dimensions and volumes were calculated based on published age-normative reference values. Treatment differences for change in continuous ECG parameters and vital signs were compared using Wilcoxon rank-sum tests. …”
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Ecological and climatic transferability of airborne lidar-driven aboveground biomass models in Piñon-Juniper woodlands by Jessie F. Eastburn, Michael J. Campbell, Philip E. Dennison, William Rl Anderegg, Kevin J. Barrett, Patrick A. Fekety, Samuel W. Flake, David W. Huffman, Steven A. Kannenberg, Kelly L. Kerr, Andrew J. Sánchez Meador, Jody C. Vogeler

“…The dynamism of PJ woodland extent and abundance over space and time is attributable to variability in species compositions, stand structures, climatic conditions, and disturbance patterns. PJ aboveground biomass (AGB) quantification is important for understanding its role in the global carbon cycle, for tracking climate change impacts, and for informing forest management practices. …”
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Analyzing greedy vaccine allocation algorithms for metapopulation disease models. by Jeffrey Keithley, Akash Choudhuri, Bijaya Adhikari, Sriram V Pemmaraju

“…The submodularity ratio of a function is a measure of how distant g is from being submodular; here submodularity refers to the very useful "diminishing returns" property of set and lattice functions, i.e., the property that as the function inputs are increased the function value increases, but not by as much.…”
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Experimental Study on the Influence of Crack Penetration Rate on Strength Properties of Expansive Soil by HU Bo, WANG Shuai, SUN Hui, GENG Hong-bin, WANG Qing, ZHOU Hong-jun

“…At 50.0% penetration rate, these values further dropped to 27.6 kPa and 16.4°, decreasing by 26.6% and 25.5%, respectively. …”
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Evaluating the potential of phenotypic age to enhance cardiovascular risk prediction over chronological age in the UK Biobank by Kristine J. S. Kwan, Shi-Shuai Xie, Hai-Lei Li, Xue-Guang Lin, Yi-Jie Lu, Bo Chen, Kai-Xin Ge, Shu-Ya Tang, Hui Zhang, Shuai Jiang, Jing-Dong Tang

“…We applied a Cox regression model with time-dependent variables to assess the association between PhenoAgeAccel and incident CVD. The predictive value of PhenoAge and PhenoAgeAccel was evaluated with reference to the Framingham Risk Score (FRS) model using Kaplan-Meier curves, receiver operating characteristic curves (AUC), and Harrel’s C-index. …”
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Impact of farmers’ risk perception on homestead withdrawal based on Meta-analysis by WANG Zhaolin, ZENG Wei, WANG Qin, CHEN Wenjuan, SHU Shunzhi

“…The risk perception of cost increase and policy implementation had the weakest inhibitory effects, and the comprehensive effect values were -0.071 and -0.097, respectively. (4) The moderation effect test showed that significant differences were observed in the risk perception levels of farmers in different regions, showing the following spatial patterns: underdeveloped regions > developed regions; western regions > central regions > eastern regions; non-pilot areas > pilot areas. …”
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Climate and anthropogenic activities control the concentrations of copper, zinc, cadmium and chromium in global inland waters by Xia Jin, Qiqian Wu, Josep Peñuelas, Jordi Sardan, Yan Peng, Zimin Li, Xin Peng, Petr Heděnec, Qiao Yang, Chaoxiang Yuan, Ji Yuan, Zihao Chen, Zemin Zhao, Fuzhong Wu, Kai Yue

“…Here, assessing using 11,573 data points collected from 514 peer-reviewed publications, key advances include: (1) quantification of median concentrations in global inland waters (Cu: 8.38, Zn: 30.00, Cd: 0.53, and Cr: 7.00 μg L−1), providing global-scale reference values to contextualize local water quality assessments; (2) anthropogenic activities, temperature, actual evapotranspiration, precipitation and runoff dominantly control the concentrations of heavy metals in inland waters, and (3) global heavy metal pollution hotspots were established, revealing significantly elevated concentrations in West and South Asia and Africa, followed by South America. …”
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Numerical simulation study on oxygen transport in the natural circulation process of liquid lead–bismuth eutectic by Xiangdong Wang, Wentao Guo, Shengfei Wang, Haicai Lv, Fang Liu, Zhangpeng Guo

“…Based on this, the simulated values were fitted to obtain the Sh number relationship (oxygen transport relationship) for different flow patterns in the expansion tank under natural circulation conditions. …”
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Mechanical Characteristics of Grillage Root Foundation for High-Voltage Tower Under Horizontal Conditions by Zehui Ma, Junjie Wang, Xuefeng Huang, Kun Sun, Senlin Yang, Jun Yuan

“…It was employed to comparatively analyze the load–displacement curves, changes in internal forces of steel components, and the development patterns of soil cracks around the foundation between traditional grillage foundations and various sizes of grillage root foundations subjected to horizontal loading. …”
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High in-situ stress evaluation and disaster case analysis for the Sichuan–Tibet railway by DAI Xiangqian, WANG Chenghu, GAO Guiyun, YANG Xinshuai, LIU Jikun

“…The lateral pressure coefficient (kH/kh) is generally greater than 1, indicating that the Sichuan–Tibet railway is predominantly influenced by SH. Stress values in each stress division exhibit the pattern SH > SV > Sh, reflecting a strike-slip fault stress state in the deeper regions below 500 m burial depth. …”
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The Influence of Social Media on Student Learning Behavior and Its Effects on Academic Achievement by Hamidah Hamidah, okkita rizan

“…The results reveal a significant shift in students' learning patterns, where platforms like WhatsApp, YouTube, and Instagram are utilized for sharing materials, group discussions, and seeking references. …”
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Deep learning-based research on fault warning for marine dual fuel engines by Lingkai Meng, Huibing Gan, Haisheng Liu, Daoyi Lu

“…The model integrated convolutional neural networks (CNN), bidirectional long short-term memory (BiLSTM) networks, and Kolmogorov-Arnold networks (KAN) to perform feature extraction from multi-dimensional time series data, autonomously identify temporal patterns within the data, and directly learn parameterized nonlinear activation functions, respectively. …”
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The interpretation of China’s economic modernization from the broad Marxist political economy by Guocheng Xiang, Jingjing Liu, Yuxuan Yang

“…Design/methodology/approach – Following this evolutionary line – from modes of production to the general economic development mechanism and then to patterns of economic operation and development – this paper employs the principal contradiction analysis method to offer an interpretation of China’s economic modernization from the broad Marxist political economy perspective. …”
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Spatial variation of functional structure of fish communities in the Bohai Sea by Jianyu Zou, Hanxu Wang, Xiujuan Shan, Harry Gorfine, Yiping Ren

“…Functional space and diversity are powerful methods for understanding ecological patterns and describing changes in fish communities. …”
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Behavioral Biases in Investor Decision-Making: A Comparative Meta-Analysis of Behavioral Finance Research by Seyed Amir Sabet, Saeed Aibaghi esfahani, Abdolmajid Abdolbaghi Ataabadi

“…This study synthesizes research on twelve key biases through meta-analysis, confirming their significant impact across markets, where cognitive biases include overconfidence (overestimating knowledge), anchoring (relying on initial reference points), herd behavior (following crowds), representativeness (using stereotypes over data), availability heuristic (overweighting recent information), and mental accounting (categorizing money subjectively), while emotional biases feature loss aversion (fearing losses more than valuing gains), regret aversion (avoiding potential regret), self-attribution (blaming failures on externals), optimism bias (overestimating success), and self-control issues (failing long-term planning). …”
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Surge Characteristics of Reservoir Bank Granular Landslide Based on Physical Model Experiments by Shanshan WANG, Jianzhao ZHANG, Dongpo WANG, Dongxu YANG, Weilin YUAN, Chaojun OUYANG

“…A granular landslide forms a slender motion pattern on a slope, with a relatively small volume entering the water instantly, making it difficult to generate jet flow. …”
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