Discriminating the adulteration of varieties and misrepresentation of vintages of Pu’er tea based on Fourier transform near infrared diffuse reflectance spectroscopy by Zhenfa Yang, Zhenfa Yang, Xiaoping Lu, Lucheng Chen

“…Traditional sensory evaluation and experience are often inadequate for discerning the true variety and vintage of tea, highlighting the need for more sophisticated analytical methods to ensure authenticity and quality. …”
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Cold Responsive Gene Expression Profiling of Sugarcane and Saccharum spontaneum with Functional Analysis of a Cold Inducible Saccharum Homolog of NOD26-Like Intrinsic Protein to Sa... by Jong-Won Park, Thiago R Benatti, Thiago Marconi, Qingyi Yu, Nora Solis-Gracia, Victoria Mora, Jorge A da Silva

“…The analysis revealed that more than 600 genes are differentially expressed in each genotype after chilling stress. …”
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Interaction between the non-alcoholic fatty liver disease fibrosis score and vitamin D deficiency on left ventricular hypertrophy and impaired diastolic function in patients with t... by Yun-Ming Li, Jia-Yi Huang, Ran Guo, Shi-Ming Li, Cong Chen, Min Wu, Run Wang, Ming-Ya Liu, Kai-Hang Yiu

“…Conclusions NFS and vitamin D deficiency are associated with an increased risk of LVH and impaired diastolic function in patients with T2DM. Notably, the impact of vitamin D deficiency on these parameters is more pronounced in individuals with a high NFS score.…”
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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…By leveraging the bidirectional capability of BiLSTM in the encoder and decoder, the model captures comprehensive temporal dependencies, enabling more effective anomaly detection. The innovative dynamic loss function integrates a tempering index mechanism with tuneable parameters (α and γ), which assigns higher weights to underrepresented classes and down-weights easily classified samples. …”
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The variations in the spontaneous combustion characteristics of coal during primary and secondary oxidation under varying particle sizes by Peitao Zhu, Zhenya Zhang, Zihao Chai, Yaxian Yu

“…However, in the later stage of the experiment, there is a reversal in these parameters; the selection of the most appropriate model from the 22 commonly observed reaction kinetics mechanism functions revealed that the apparent activation energy of the coal sample decreases during secondary oxidation compared to primary oxidation within the temperature range of 80℃ to 130℃. …”
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An Application of Modified S-CLSVOF Method to Kelvin-Helmholtz Instability and Comparison with Theoretical Result by Naoki Shimada, Mako Sato, Yuta Yaegashi, Thorsten Koch, Thi Thai Le

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CLINICAL SIGNIFICANCE OF ANEMIC SYNDROME IN PATIENTS WITH CHRONIC HEART FAILURE by V. N. Larina, B. Ya. Bart, V. G. Larin

“…Anemia in patients with CHF is associated with age, impaired renal function, diabetes and high hospitalization rate because of CHF deterioration.…”
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A study on the effect of spatially variation rainfall on urban flooding by Jinping Zhang, Ruyu Wang, Xuechun Li, Zhiwei Li, Yao Wang, Xi Zhang

“…Notably, when the variation coefficient exceeds 2.2, these effects become more pronounced, with water depth patterns becoming increasingly fragmented and complex, thereby categorizing urban flooding risk as high. …”
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ARTIFICIAL LEARNING BASED ON KERNEL SVM FOR THE PREDICTION OF CARDIOVASCULAR DISEASE HYPERTENSION by Patient MUSUBAO SWAMBI, Albert Ntumba Nkongolo, Pierre Kafunda Katalay, Rostin Mabela Matendo Makengo, Eugène Mbuyi Mukendi

“…By employing various kernel functions, such as the radial basis function (RBF) and polynomial kernels, the study aims to enhance the model's ability to capture and interpret the nuanced patterns associated with hypertension risk. …”
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Comprehensive evaluation of the response relationship between meteorological drought and hydrological drought in the Yalong River Basin, China by Yunliang Wen, Ling Kang, Liwei Zhou, Wufeng Liao, Xuye Guo

“…The results showed that: (1) The smaller the scale of SPEI and SRI, the more sensitive the identification of drought and the faster the detection of drought trend changes. (2) Combined with small-scale drought index analyses, the trend and severity of meteorological and hydrological droughts propagating from the upper and middle reaches to the lower reaches is increasing from year to year. (3) The Gumbel-Hougaard Copula function reveals the relationship between meteorological and hydrological drought, with the longest joint return period of 13–15 months. (4) In cloud model risk evaluation, the degree, uncertainty and stochasticity of drought risk in the basin are increasing, and the risk degree of interannual meteorological and seasonal hydrological droughts in the basin was high. …”
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Fuentes de variación en el tamaño de la semilla de la herbácea perenne Helleborus foetidus L. (Ranunculaceae) by José L. Garrido, Pedro J. Rey, Carlos M. Herrera

“…Seed size is one of the plant traits more thoroughly studied in plant sciences due to its pivoting ecological position between dispersal processes and emergence, survival and establishment of plant species. …”
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Super-Resolution Reconstruction From Multiple Defocused Infrared Images of Stationary Scene by Yuxing Mao, Benjiang Zhao, Dongmei Yan, Haiwei Jia

“…Experiments demonstrate that our method can be used to obtain more information about details of a scene and improve the visual effect without adding any hardware facilities, improving the recognition and interpretation of the image subject.…”
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Depressive and Negative Symptoms in the Early and Established Stages of Schizophrenia: Integrating Structural Brain Alterations, Cognitive Performance, and Plasma Interleukin 6 Lev... by Fabiana Corsi-Zuelli, Gary Donohoe, Siân Lowri Griffiths, Cristina M. Del-Ben, Andrew J. Watson, Tom Burke, Paris A. Lalousis, Declan McKernan, Derek Morris, John Kelly, Colm McDonald, Saahithh R. Patlola, Carmine Pariante, Nicholas M. Barnes, Golam M. Khandaker, John Suckling, Bill Deakin, Rachel Upthegrove, Maria R. Dauvermann

“…Background: Depressive and negative symptoms are related to poor functional outcomes in schizophrenia. Cognitive deficits, reduced brain cortical thickness and volumes, and inflammation may contribute to depressive and negative symptoms, but pharmacological treatment and disease progression may confound the associations. …”
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Features of the Clinical Signs, Changes of the Natriuretic Propeptide (NT-proBNP), Left Ventricular Diastolic Function and Heart Rate Variability in the Patients with the Stable An... by Shved M., Prypkhan I.

“…In the patients with angina pectoris, combined with subclinical hypothyroidism, compared to the patients with isolated stable angina pectoris of the appropriate FC, more pronounced disorders of the left ventricular diastolic dysfunction with more frequent detection of the pseudonormal type are recorded. …”
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Learning Manipulation from Expert Demonstrations Based on Multiple Data Associations and Physical Constraints by Yangqing Ye, Yaojie Mao, Shiming Qiu, Chuan’guo Tang, Zhirui Pan, Weiwei Wan, Shibo Cai, Guanjun Bao

“…Other than the artificial learning from observation-action pairs for machines, humans can learn to imitate in a more versatile and effective manner: acquiring skills through mere “observation”. …”
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The effects of 5-HT on vascular endothelial dysfunction in patients with panic disorder by Yueqi Feng, Xixi Li, Zijia Li, Xinyi He, Yanqing Tang, Wen Tian

“…The review also highlights the role of the PI3K/Akt/eNOS signaling pathway in 5-HT's influence on vascular endothelial function. In conclusion, the intricate relationship between PD, 5-HT, and vascular endothelial function warrants further investigation. …”
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An improved fuzzy time series forecasting model based on hesitant fuzzy sets by Lubna Shafi, Shilpi Jain, Praveen Agarwal, Pervaiz Iqbal, Aadil Rashid Sheergojri

“…The study results revealed that the enhanced hesitant Fuzzy Time Series (FTS) model is more effective and accurate in forecasting the university enrolment of Alabama and the CIRs of India.…”
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Method of Generalized Evaluation in the Selecting Factors and Levels of Variation in the Multifactorial Study of Sowing Machines by E. M. Zubrilina, I. A. Markvo, A. S. Zhuravlev, V. I. Novikov, E. V. Neroda

“…An acceptable set of values (a combination of optimal and maximum values) from the range of factors variation was revealed, which provides for more qualitative choice of the main factors influencing the optimization parameter. …”
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A Mean Weighted Squared Error-based Neural Classifier for Intelligent Pattern Recognition in Smart Grids by Mehdi Khashei, Mehrnaz Ahmadi, Fatemeh Chahkoutahi

“…Supervised learning is widely used in pattern recognition and classification due to its strong ability to enhance data accuracy. Loss functions have proven to be a critical factor in enhancing the predictive accuracy of intelligent classifiers with diverse architectures and characteristics. …”
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The distinct effects of metformin and imeglimin on high glucose-induced alterations in metabolic function and reactive oxygen species production in mouse Schwann cells are modulate... by Hiroshi Ohguro, Megumi Higashide, Nami Nishikiori, Toshifumi Ogawa, Toshifumi Ogawa, Masato Furuhashi, Tatsuya Sato, Tatsuya Sato, Megumi Watanabe

“…Ime increased mitochondrial respiratory functions, whereas Met suppressed mitochondrial respiration and enhanced glycolytic functions, with these effects being more evident under normal glucose conditions. …”
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