Bioactive Properties of Hazelnut-Derived Products in Colorectal Cancer Prevention: A Systematic Review of Preclinical and Epidemiological Studies by Giuseppe Mazzola, Mariangela Rondanelli, Federico Buga, Patrizia Riso, Simone Perna

“…Data extraction focused on bioactive composition, experimental models, molecular pathways, and fecal/metabolic markers of carcinogenesis. …”
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LSD1 inhibition attenuates targeted therapy-induced lineage plasticity in BRAF mutant colorectal cancer by Christopher A. Ladaika, Averi Chakraborty, Ashiq Masood, Galen Hostetter, Joo Mi Yi, Heather M. O’Hagan

“…Enteroendocrine cells (EECs), the neuroendocrine cell of the intestine, are uniquely present in BRAF mutant CRC as compared to BRAF wildtype CRC. Methods BRAF plus EGFR inhibitor treatment induced changes in cell composition were determined by gene expression, imaging and single cell approaches in multiple models of BRAF mutant CRC. …”
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“OEDIPUS THE KING” BY SOPHOCLES IN THE IMMANENT INTERPRETATION OF EMIL STAIGER by Oleh А. Radchenko

“…Due to the complex application of the historical-cultural, comparative, descriptive methods, the methods of linguistic-stylistic and figurative analysis, the authentic change of the traditional angle of interpretation has been identified: it eliminates the motif of the ancestral curse based on the Theban cycle of myths and shifts the emphasis on personal guilt. …”
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A statistical and machine learning approach for monthly precipitation forecasting in an Amazon city by Ewerton Cristhian Lima de Oliveira, Eduardo Costa de Carvalho, Edmir dos Santos Jesus, Rafael de Lima Rocha, Rafael de Lima Rocha, Helder Moreira Arruda, Ronnie Cley de Oliveira Alves, Ronnie Cley de Oliveira Alves, Renata Gonçalves Tedeschi

“…Additionally, we use meteorological data from a set of sensors installed at a meteorological station located in Belém to train multivariate statistical and machine learning (ML) models to predict precipitation. Besides the use of algorithms, another evaluation was conducted on Feature Composition based on statistical methods to investigate the impact of variables on the prediction.ResultsThe results obtained in our investigation indicate that the vector autoregressive moving average with exogenous regressors (VARMAX) model achieved the best performance in rainfall forecasting, with an average root mean square error (RMSE) of 9.1833 in time series cross-validation, outperforming the other models.DiscussionThe climate-driven patterns directly influenced the performance of the rainfall forecasting models evaluated in this study. …”
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Microbiological and clinical evaluation of ultrasonic debridement with/without erythritol air polishing during supportive periodontal therapy in arches with full-arch fixed implant... by Qi Liu, Lin Tang, Zhaoguo Yue, Jianxia Hou, Jingwen Yang, Pingyi Jia, Jianzhang Liu, Zhongning Liu

“…The purpose of this study is to compare the plaque removal efficacy of ultrasonic debridement with/without erythritol air-polishing powder around implants and bridges in patients with full-arch fixed implant-supported prostheses as well as the effects of these two methods on the rates of peri-implant mucositis and peri-implantitis, and the submucosal microbiota composition over 5 years in patients undergoing supportive periodontal therapy.Methods and analysis We plan to enrol 10 edentulous (maxilla and/or mandible) patients seeking full-arch fixed implant-supported prostheses. …”
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Dietary and plasma atherogenic and thrombogenic indices and cardiometabolic risk factors among overweight and individuals with obesity by Reyhaneh Mokhtari, Mahdieh Abbasalizad Farhangi

“…The purpose of this study is to ascertain whether there is any connection between Iranian obese people’s plasma and dietary indices and cardiometabolic risk factors. Methods This cross-sectional study, consisted of 645 overweight and obese participants. …”
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Evaluation of the influence of hydrodynamic cavitation treatment of dark petroleum products on the yield of fractions with boiling points up to 400°C by B. V. Peshnev, E. V. Burlyaeva, V. B. Terenteva, D. V. Nikishin, A. I. Nikolaev, K. S. Andronov

“…Wave-based technologies such as cavitation may also be included in these processes. Among the various methods for inducing such cavitation phenomena in oil refining, hydrodynamic approaches are especially promising. …”
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Estimating timber assortment reduction and sawlog proportions with the application of harvester measurements and open big geodata by Ville Vähä-Konka, Lauri Korhonen, Kalle Kärhä, Matti Maltamo

“…In addition, a Random Forest (RF) model was employed to predict total sawlog proportions. …”
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MLGFENet: Multiscale Local–Global Feature Enhancement Network for High-Resolution Remote Sensing Image Change Detection by Huanhuan Lv, Xianqi Yan, Hui Zhang, Cuiping Shi, Ruiqin Wang

“…The integration of a convolutional neural network (CNN) and a Transformer has become a dominant framework for change detection (CD) in remote sensing images, because of its ability to effectively model both local and global features. However, existing methods still face challenges in extracting features from change regions with diverse shapes and sizes, as well as in capturing edge information. …”
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UV-C and Nanomaterial-Based Approaches for Sulfite-Free Wine Preservation: Effects on Polyphenol Profile and Microbiological Quality by Kamila Pachnowska, Jolanta Kochel-Karakulska, Adrian Augustyniak, Valentina Obradović, Ireneusz Ochmian, Sabina Lachowicz-Wiśniewska, Ireneusz Kapusta, Klaudia Maślana, Ewa Mijowska, Krzysztof Cendrowski

“…Controlling the microorganisms employed in vinification is a critical factor for successful wine production. Novel methods aimed at lowering sulfites used for wine stabilization are sought. …”
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Rapid identification of the authenticity of iron rod yam by in-situ mass spectrometry based on random forest algorithm by ZHONG Hengyan, CHEN Chun, OUYANG Yongzhong, ZHOU Lin, GUO Weiqing

“…Pattern recognition analysis established a model to differentiate between TG and FTG based on their chemical compositions.ResultsThe difference between the first-level mass spectra obtained by HS-APCI-MS was obvious between TG samples and FTG samples. …”
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Experimental Research on Material and Mechanical Properties of Rock-Like Filling Materials in Disaster Prevention of Underground Engineering by Junwei Shi, Zhangliang Chen, Binbin Zheng

“…Firstly, the AHP-FUZZY comprehensive optimization model was constructed for the complexity and fuzziness of the rock-like filling material ratio optimization. …”
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Sparse Inversion of Gravity and Gravity Gradient Data Using a Greedy Cosine Similarity Search Algorithm by Luofan Xiong, Zhengyuan Jia, Gang Zhang, Guibin Zhang

“…The method not only accurately resolves models of varying volumes while avoiding local convergence issues in the presence of major anomalies, but also exhibits strong robustness against noise, successfully delineating clear boundaries even when applied to complex composite models contaminated with 10% Gaussian noise. …”
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Pskov-Krivichi Ethnomusicological Borderlines of the Russian Northwest by Larisa M. Belogurova

“…On the one hand, like the ritual songs of the Western ethnocultural region, they are coordinated with syllabic verses, form strophic compositions according to the model of caesurised chants, and even use caesurised rhythmic formulas. …”
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Advancing perovskite solar cells: Optical characterization and performance enhancement via spectroscopic ellipsometry by Eri Widianto, Bhisma Mahendra, Muhammad Riswan, Frendy Jaya Kusuma, Kardiman, Eka Nurfani, Indra Pardede, Natalita Maulani Nursam, Kuwat Triyana, Iman Santoso

“…Specifically, this review examines the analytical approaches for analyzing the perovskite properties, selecting theoretical optical models and data fitting methods, extracting key optical constants, and interpreting SE measurements. …”
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Mesenchymal stromal cell-derived extracellular vesicles as nanotherapeutics for concanavalin a-induced hepatitis: modulating the gut‒liver axis by Fan Yang, Beibei Ni, Xiaoqi Liang, Yizhan He, Chao Yuan, Jiajie Chu, Yiju Huang, Hongyu Zhong, Li Yang, Jianxi Lu, Yan Xu, Qi Zhang, Wenjie Chen

“…However, their effects on autoimmune hepatitis (AIH) are not yet well understood. Methods and results In this study, we utilized a well-established concanavalin A (Con A)-induced fulminant hepatitis mouse model to investigate the effects of MSC-EVs on AIH. …”
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AIF: Infrared and Visible Image Fusion Based on Ascending–Descending Mechanism and Illumination Perception Subnetwork by Ying Liu, Xinyue Mi, Zhaofu Liu, Yu Yao

“…Ablation experiments demonstrate the effectiveness of the loss function. We compare our method with nine other methods on public datasets, including four traditional methods and five deep-learning-based methods. …”
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Influence of inclination angle on the pollution flashover voltage of contaminated silicone rubber by Hailiang Lu, Wei Wang, Yirui Zhang, Keren Shao, Wenhua Wu, Hu Zhang, Tian Yuan, Chun Li, Xishan Wen, Lei Lan

“…The correlation between inclination angle of the shed surface and pollution flashover voltage can reflect the pollution flashover characteristics of V‐shaped composite insulator strings. Therefore, the relationship between inclination angle and pollution flashover voltage was studied through artificial pollution testing methods, and the relationship between inclination angle and degree of wetting was studied using the method of adding water to increase weight. …”
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Innovative Valorization of Wood Panel Waste into Activated Biochar for Efficient Phenol Adsorption by Aziz Bentis, Laura Daniela Ceron Daza, Mamadou Dia, Ahmed Koubaa, Flavia Lega Braghiroli

“…The biochar’s physicochemical properties, including surface area, pore volume, and elemental composition, were characterized using advanced methods, including BET analysis, elemental analysis, and adsorption isotherm analysis. …”
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Research on Malodor Component Identification Based on Sensor Array by Jiaxing Xie, Wen Chen, Shiyun Chen, Peiwen Wu, Zhendong Lv, Jiatao Wu, Zihao Chen, Zonghong Li, Fan Luo, Xiaohong Liu

“…Experimental results demonstrate that the proposed IED-CNN-LSTM model outperforms conventional methods significantly in both prediction accuracy and long-term stability. …”
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