Volatile Sulphur Compounds in Wine Distillates by Stir Bar Sorptive Extraction-Gas Chromatography-Mass Spectrometry by Marta Silvosa, María de Valme García-Moreno, Remedios Castro

“…A Stir Bar Sorptive Extraction-Gas Chromatography-Mass Spectrometry (SBSE-GC-MS) method has been optimized and validated for the determination of eight volatile sulphur compounds in wine distillates: diethyl sulphide (DES), dimethyl disulphide (DMDS), diethyl disulphide (DEDS), 2-thiophenecarboxaldehyde (TC), dibutyl sulphide (DBS), dipropyl disulphide (DPDS), dipropyl sulphide (DPS), and dimethyl trisulphide (DMTS). …”
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Explainable AI for Chronic Kidney Disease Prediction in Medical IoT: Integrating GANs and Few-Shot Learning by Nermeen Gamal Rezk, Samah Alshathri, Amged Sayed, Ezz El-Din Hemdan

“…This framework supports the objectives of the Medical Internet of Things (MIoT) by enhancing smart medical applications and services, enabling accurate prediction and detection of CKD, and facilitating optimal medical decision making.…”
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Nanodisc single-molecule pulldown to study lipid-protein interactions by Adriana Reyes-Ordoñez, Shweta Shree, Nilmani Singh, Stephen G. Sligar, Jie Chen

“…Specific interactions with PIPs are crucial for the functions of many signaling proteins, highlighting the need for a convenient and robust method to study lipid-protein interactions. Previously, we established a fluorescence microscopy-based lipid single-molecule pulldown (lipid-SiMPull) assay for detecting interactions between fluorescently tagged proteins of interest in whole-cell lysates and small unilamellar vesicles containing phospholipids of interest. …”
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Evaluation of fractured carbonate reservoir and prediction of favorable areas in the eastern area of Amu Darya Right Bank by Yang Li, Xiaodong Cheng, Leyuan Fan, Liguo Sun, Jiapeng Wu, Jiao Wei

“…By employing conventional logging alongside specialized methods, such as electrical imaging, nuclear magnetic resonance, and far detection logging, fractures and their effectiveness can be identified and evaluated, clarifying the characteristics of reservoir spaces. …”
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Analytical Study for the Charge-Transfer Complexes of Pregabalin by Hesham Salem

“…Different variables affecting the reactions were studied and optimized. The formations of the colored complexes were utilized in the development of simple, rapid and accurate spectrophotometric methods for the analysis of PRE in pure form as well as in its pharmaceutical preparation. …”
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Facial Expression and Pose Recommender System Using Stereotypical Trait Identification by Jinhwi Lee, Teryn Cha, Sung-Hyuk Cha

“…Building on this idea, this paper presents a facial expression and pose recommender system that utilizes early face recognition techniques, specifically facial landmark-based methods, to guide users in optimizing their expressions and positioning for different social contexts. …”
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Endogeneity Problem in Corporate Finance: Theory and Practice by Z. V. Selezneva, M. S. Evdokimova

“…Eliminating step-by-step endogeneity, we concluded that the Blundell-Bond method is not always the optimal one for dealing with endogeneity in CF, as well as regression with a fixed effect. …”
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Enhancing the prediction of vitamin D deficiency levels using an integrated approach of deep learning and evolutionary computing by Ahmed Alzahrani, Muhammad Zubair Asghar

“…To improve the models effectiveness and guarantee the optimal choice of the features and hyper-parameters, we incorporate evolutionary computing methods, particularly genetic algorithms (GA). …”
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Application of Artificial Intelligence Algorithms in the Field of Antimicrobial Peptide Prediction by QIAN Yuchen, NIE Ting, HUA Yanming, XU Shiying, GUO Sheng, ZHANG Xin, LUO Xiaohu, LIU Yanan

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Regular monitoring of post-training biochemical markers as a tool for injury prevention in professional athletics – review by Sara Szydłowska, Krzysztof Błaszków, Jagoda Elias, Wiktor Biesiada, Marlena Zubiak, Dominika Kaźmierczak

“…Analysis of available studies has shown that the integration of various biomarkers enables a more precise assessment of the body's adaptation to training loads and the early detection of overtraining symptoms. At the same time, attention has been drawn to individual physiological differences affecting the interpretation of results, as well as the need for further research into the standardization of measurement methods. …”
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From laboratory to field: cross-domain few-shot learning for crop disease identification in the field by Sen Yang, Quan Feng, Jianhua Zhang, Wanxia Yang, Wenwei Zhou, Wenbo Yan

“…These comparative results suggest that optimizing the CD-FSL method from a data perspective is highly effective for solving disease identification tasks in field environments. …”
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Quantitative study of local defects by pulsed eddy current testing by Zhaoyang Li, Liang Dong

“…To optimize the detection process, four distinct types of error functions are formulated, and an optimization algorithm is employed to determine the parameters that minimize these error functions. …”
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Cardiac Clarity: Harnessing Machine Learning for Accurate Heart-Disease Prediction by Sujith Santhosh, Krishnaraj Chadaga, R.Vijaya Arjunan, Sandra D'Souza

“…The models were fine-tuned using Grid Search, Random Search, and Bayesian Optimization methods, achieving promising results with Random Forest achieving an AUC =0.99 and accuracy of 98.5%, outperforming all the other models and demonstrating robust performance on various metrics such as AUC, PR Curve, Log Loss, Jaccard Score, and MCC. …”
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Refractive index sensing using analytical calculation of angular momentum sidebands of a Laguerre Gaussian beam reflected from a plasmonic structure by Mojtaba Baniasadi, Abbas Ghasempour Ardakani

“…Furthermore, the weight of these sidebands depends on how much the system is far from the optimal excitation of surface plasmons. We utilize these weights to introduce a novel method for detecting subtle changes in the refractive index of the sensing medium in plasmonic biosensors, where conventional methods based on measuring the reflectance of a Gaussian beam incident onto the sensor versus wavelength or incident angle fail to detect such small changes.…”
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Enhancing the reverse transcriptase function in Taq polymerase via AI-driven multiparametric rational design by Yulia E. Tomilova, Nikolay E. Russkikh, Igor M. Yi, Elizaveta V. Shaburova, Viktor N. Tomilov, Galina B. Pyrinova, Svetlana O. Brezhneva, Olga S. Tikhonyuk, Nadezhda S. Gololobova, Dmitriy V. Popichenko, Maxim O. Arkhipov, Leonid O. Bryzgalov, Evgeniy V. Brenner, Anastasia A. Artyukh, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Denis V. Antonets, Mikhail K. Ivanov, Mikhail K. Ivanov

“…Our objective was to use AI-driven rational design combined with multiparametric wet-lab analysis to identify and validate Taq polymerase mutants with an optimal combination of these properties.MethodsThe experimental procedure was conducted in several stages: 1) On the basis of a foundational paper, we selected 18 candidate mutations known to affect RTase activity across six sites. …”
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Oral Medicine and Oral Clinical Chemistry Game Changers for Future Plaque Control and Maintenance: PerioSafe^® aMMP-8 POCT, Lumoral^® 2× PDT- and Lingora<sup>®<... by Nur Rahman Ahmad Seno Aji, Vaibhav Sahni, Miika T. Penttala, Dimitra Sakellari, Andreas Grigoriadis, Tommi Pätilä, Pirjo Pärnänen, Dirk Neefs, Andreas Pfützner, Shipra Gupta, Timo Sorsa, Ismo T. Räisänen

“…Cut-off 20 ng/mL is the optimal cut-off for aMMP-8 POCT and does not make false positives. …”
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SSL5-AnxA5 Fusion Protein Constructed Based on Human Atherosclerotic Plaque scRNA-Seq Data Preventing the Binding of Apoptotic Endothelial Cells, Platelets, and Inflammatory Cells by Yifei Zhao, Xingyu He, Teng Hu, Tianli Xia, Fangyang Huang, Changming Li, Yiming Li, Fei Chen, Mao Chen, Jun Ma, Yong Peng

“…Staphylococcal superantigen-like 5 (SSL5) is an optimal antagonist P-selectin glycoprotein ligand 1 (PSGL1), while annexin V (AnxA5) can precisely detect dead cells in vivo. …”
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UMI-77 targets MCL-1 to activate mitophagy and ameliorate periodontitis in mice by Dalei Sun, Shu Ouyang, Xiaoxuan Xu, Jingjing Yan, Heqian Wang, Chenkai Lan, Wubin Ouyang, Liangjun Zhong, Jun Lin

“…Western blot confirmed downregulation of MCL-1 expression to near-normal levels in Group Ba, while TEM detected autolysosomes in both Group Ba and Group Ca, indicating mitophagy activation. …”
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Clinical and histopathological features of lupus nephritis and the risk of long-term kidney outcomes in Indonesia by Ni Made Hustrini, Ni Made Hustrini, Endang Susalit, Monik Ediana Miranda, Meilania Saraswati, Y. K. Onno Teng, Merel van Diepen, Joris I. Rotmans

“…This study highlights the importance of timely detection on kidney involvement in SLE patients, routine use of renin–angiotensin–aldosterone system inhibitors, optimal prescription of immunosuppressive medications, and aggressive screening and prophylactic measures of infectious diseases should be encouraged to improve kidney outcomes in lupus nephritis patients in Indonesia.…”
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Early Outcomes from Proton Craniospinal Irradiation for Leptomeningeal Metastasis From Solid Tumors by Keng Lam, MD, Lewis F. Nasr, MD, Clark R. Andersen, MS, Kathryn E. Marqueen, MD, Jing Li, MD, PhD, Chenyang Wang, MD, Thomas H. Beckham, MD, PhD, Nazanin K. Majd, MD, PhD, Ashley E. Aaroe, MD, Monica Loghin, MD, Barbara J. O'Brien, MD, Susan L. McGovern, MD, PhD

“…Further study is indicated to determine the optimal candidates for pCSI and sequential therapies.…”
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