Identification and Characterization of Two Se6OMTs from <i>Stephania epigaea</i> Offer Novel Insights into the Biosynthetic Pathway of Cepharanthine by Jingyi Gan, Wenlong Shi, Qishuang Li, Xinyi Li, Xingyu Zhao, Junhao Tang, Ying Ma, Jian Wang, Shukun Gong, Xiaohui Ma, Juan Guo

“…Results: Two <i>O</i>-methyltransferases, Se6OMT1 and Se6OMT3, showed efficient catalytic activity at the C6 position of both (<i>R</i>)- and (<i>S</i>)-norcoclaurine. …”
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Development and Validation of an Incident Hypertension Risk Prediction Model for Young Adults by Jaejin An, Heidi Fischer, Liang Ni, Mengying Xia, Soon Kyu Choi, Kerresa L. Morrissette, Rong Wei, Kristi Reynolds, Paul Muntner, Lisandro D. Colantonio, Andrew E. Moran, Brandon K. Bellows, Monika M. Safford, Norrina B. Allen, Vanessa Xanthakis, Carmen R. Isasi, Linda C. Gallo, Krista M. Perreira, Yiyi Zhang

“…Conclusions Compared with the US Preventive Services Task Force, the hypertension risk prediction model may be a more efficient tool to identify high‐risk young adults for early intervention.…”
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An in vivo systemic massively parallel platform for deciphering animal tissue-specific regulatory function by Ashley R. Brown, Ashley R. Brown, Grant A. Fox, Grant A. Fox, Irene M. Kaplow, Irene M. Kaplow, Irene M. Kaplow, Alyssa J. Lawler, Alyssa J. Lawler, BaDoi N. Phan, BaDoi N. Phan, BaDoi N. Phan, Lahari Gadey, Lahari Gadey, Morgan E. Wirthlin, Morgan E. Wirthlin, Easwaran Ramamurthy, Easwaran Ramamurthy, Gemma E. May, Ziheng Chen, Qiao Su, Qiao Su, C. Joel McManus, Robert van de Weerd, Robert van de Weerd, Andreas R. Pfenning, Andreas R. Pfenning, Andreas R. Pfenning

“…We highlight that sysMPRA effectively uncovers regulatory effects stemming from the disruption of MEF2C transcription factor binding sites, single-nucleotide polymorphisms, and the consequences of genetic variations associated with late-onset Alzheimer‘s disease.Conclusion: SysMPRA is an effective library delivering method that simultaneously determines the transcriptional functions of hundreds of enhancers in vivo across multiple tissues.…”
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Machine Learning for Non-Destructive Prediction of Sunflower Leaf Area by Joao Everthon da Silva Ribeiro, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Josiana Micarla da Silva Oliveira, Alessandra Nunes da Silva, John Victor Lucas Lima, Ivan Euzebio da Silva, Ester Dos Santos Coelho, Isaque de Oliveira Leite, Elania Freire da Silva, Toshik Iarley da Silva, Lindomar Maria da Silveira, Aurelio Paes Barros Junior

“…However, its measurement using traditional methods can be limited. The search for non-destructive approaches based on leaf dimensions is essential, and machine learning offers promising alternatives for accurate estimation. …”
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Deep learning based detection of enlarged perivascular spaces on brain MRI by Tanweer Rashid, Hangfan Liu, Jeffrey B. Ware, Karl Li, Jose Rafael Romero, Elyas Fadaee, Ilya M. Nasrallah, Saima Hilal, R. Nick Bryan, Timothy M. Hughes, Christos Davatzikos, Lenore Launer, Sudha Seshadri, Susan R. Heckbert, Mohamad Habes

“…Therefore, it is necessary to determine which imaging sequences are crucial for precise detection. …”
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Evidence of SARS‐CoV‐2 Exposure in Cats and Dogs From Households in Romania and Long‐Term Specific Seroconversion in Cats by Luanda Elena Oslobanu, Luciana Alexandra Crivei, Gheorghe Savuta, Laro Gómez‐Marcos, Pablo Nogales‐Altozano, José M. Rojas, Noemí Sevilla

“…The SN assay used the SARS‐CoV‐2 MAD6 strain and Omicron strain to determine neutralising antibody titers. Results ELISA testing showed a seroprevalence of 9.5% in cats and 11% in dogs. …”
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Co-isolation of human donor eye cells and development of oncogene-mutated melanocytes to study uveal melanoma by Yunxi Chen, Eva Jin, Mohamed Abdouh, Éric Bonneil, Daniel Alexander Jimenez Cruz, Thupten Tsering, Qianqian Zhou, Aurélie Fuentes-Rodriguez, Alexandra Bartolomucci, Alicia Goyeneche, Solange Landreville, Miguel N. Burnier, Julia V. Burnier

“…Conclusions We successfully isolated and established NCM, RPE, and MutCM cell lines. We describe efficient methods for the isolation and growth of NCMs and report their phenotypic, proteomic, and transcriptomic characteristics, which will facilitate the investigation of UM development and progression. …”
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Research on adaptability of fracturing technologies for CBM horizontal wells based on the viewpoint of “unblocking and channeling” by Yuhang XIAO, Qingzhong ZHU, Qun ZHAO, Meizhu WANG, Yang ZHAO, Qinping SUN, Sanshuai WANG, Zongyuan LI, Qing DONG, Zihan WANG, Zhi ZHOU, Jigang GUO

“…Horizontal well fracturing stimulation is currently the most core technical means to achieve efficient development of unconventional coalbed methane resources. …”
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Komparasi Machine Learning Berbasis Pso Untuk Prediksi Tingkat Keberhasilan Belajar Berbasis E-Learning by Elin Panca Saputra, Siti Nurajizah, Mawadatul Maulidah, Nadiyah Hidayati, Taufik Rahman

“…While the attributes that have an influence to determine the algorithm on the level of accuracy are Practice Questions, Quizzes, Mid-Semester Exams, and Final Exams. it is evident from our previous studies that the PSO-based neural network algorithm does have a very good advantage. based on ANN is a method that has calculations that build several units of interconnected connectivity, the ANN method with predictive accuracy can be an efficient and good tool for forecasting and classification research in the field of education. …”
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Garlic-Derived Exosome-Like Nanovesicles: A Promising Natural Nanotherapy for Periodontitis via PHGDH/PI3K/AKT-Mediated Metabolic and Inflammatory Regulation by Yu C, Liu Y, Yu X, Liu J, Cao P, Liu G, Cai Y, Zhang Y, Luan Q

“…Garlic-derived exosome-like nanovesicles (GaELNs), as a natural therapeutic agent, have demonstrated significant therapeutic effects in conditions such as colitis, liver dysfunction, osteoarthritis, and adipose tissue inflammation, yet their potential in treating periodontitis has not been explored.Methods: In this study, GaELNs were extracted using a simplified and rapid method and characterized for their morphology and concentration. …”
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Construction and application of a TCN-LSTM-SVM-based time series prediction model for water inflow in coal seam roofs by Xuan LIU, Yadong JI, Kaipeng ZHU, Chunhu ZHAO, Kai LI, Chaofeng LI, Chenhan YUAN, Panpan LI, Pengzhen YAN

“…BackgroundThe accurate prediction of mine water inflow plays a significant role in the prevention and control of water hazards and the safe and efficient production in coal mines. MethodsTo construct a prediction model of water inflow in mines under threat of water hazards from extremely thick sandstones aquifer in West China, this study investigated a typical mine (also referred to as the studied mine) severely affected by such water hazards in the Binchang mining area of Shaanxi Province. …”
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Abstract 054: Transradial Thrombectomy Using "Sheathless PV" Guide Catheter in Armenia: Three‐Year Institutional Experience in 103 Cases by David Sahakyan, Anna Isahakyan, David Marqaryan, Aleksan Petrosyan, Mikayel Grigoryan

“…It offers numerous advantages and stimulated development of long flexible large lumen guiding catheters as well as adoption of existing cost‐efficient alternatives used in cardiac and peripheral interventions (2,3). …”
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Patient-informed outpatient intervention to improve pregnancy outcomes through connections to social services: protocol for the BETTER randomised controlled trial by William A Grobman, Laura J Rush, Ann Scheck McAlearney, Anna Bartholomew, Timothy R Huerta, Sarah R MacEwan, Nicole R Thomas, Lindsey N Sova, Leah Roth, Kaprea F Johnson

“…Black individuals have a 2–3-fold higher risk of APOs and a similarly increased risk of maternal morbidity and mortality compared with White individuals. Adverse social determinants of health (SDoH) are at the root of this disparity and contribute to it through multiple mechanisms. …”
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Gestational Diabetes Management and Outcomes in South Jordan: Metformin Alone vs. Metformin-Insulin Therapy, A Retrospective Cohort Study by Ahlam M. Al-Kharabsheh, Seham M. Abufraijeh, Ashwaq K. Al-Tarawneh, Hana K. Al-Masarwah, Omar H. Abu Azzam

“…The primary goal was to develop an efficient management system that reduces hospital admissions and improves outpatient care for pregnant women with diabetes. …”
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Red-emissive carbon dot-cobalt oxyhydroxide nanosystem: A turn-on sensor for α-Glucosidase activity and inhibitor identification by Huihui Sun, Chuanyuan Gao, Yumin Yang, Changqing Liu, Han Qin, Mengyuan Tan, Jin Li, Xiaoxia Li, Kunze Du, Yanxu Chang

“…The development of efficient methods for sensing αlpha-glucosidase (α-Glu) and screening its inhibitors has attracted significant attention due to their pivotal role in discovering therapeutic medicines for Type 2 diabetes. …”
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Comparison of Fracture Resistance and Quality of Lateral Condensation Obturation in Traditional and Conservative Access Cavity Preparation: An <i>In Vitro</i> Study by Gurkiran Kaur, Purshottam Jasuja, Shveta Munjal, Heena Khurana, Ekta Gakhar, Suman Sharma

“…In group II, samples were prepared for the determination of the compaction quality of LC obturation. …”
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Evaluation and Comparison of Resource sustainability of Two Forest Reserves in Hamadan Province by Mohsen Akbari, Alireza Ildoromi, Farhad Ghasemi Aghbash, Iman Pajohan

“…In this study, a combined method, including multi-criteria AHP evaluation method and sustainability indicators the guidelines of the 505th issue of the Forests and Rangelands Organization have been used to determine and prioritize indicators of sustainable forest management at the local level. …”
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Exploring using HBsAg to predict interferon treatment course to achieve clinical cure in chronic hepatitis B patients: a clinical study by Fei Yan, Fei Tang, Jing Chen, YiCheng Lin, XinYu Chen, Qin Du, WeiLi Yin, Jing Liang, Lei Liu, Fang Wang, BaiGuo Xu, Qing Ye, HuiLing Xiang

“…This research aimed to develop an efficient model for predicting interferon (IFN) treatment course.MethodsPatients with chronic hepatitis B, undergoing PEG-IFN α-2b monotherapy or combined with NAs (Nucleoside Analogs), were recruited from January 2018 to December 2023 at Tianjin Third Central Hospital. …”
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Linking intrinsic brain dysfunction to behavioral outcomes in combat-exposed males with PTSD symptoms by Deborah L. Harrington, Deborah L. Harrington, Qian Shen, Qian Shen, Annemarie Angeles-Quinto, Annemarie Angeles-Quinto, Sharon Nichols, Tao Song, Hayden Hansen, Kate A. Yurgil, Kate A. Yurgil, Roland R. Lee, Roland R. Lee, Dewleen G. Baker, Dewleen G. Baker, Dewleen G. Baker, Ming-Xiong Huang, Ming-Xiong Huang

“…Disturbances in intrinsic activity during resting-state fMRI were identified using a whole-brain analytic approach that quantified regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF). To determine if functional abnormalities were related to changes in brain macrostructure, cortical thickness and gray/white-matter volume were measured. …”
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Designing an educational model based on identity development with an Iranian-Islamic approach for primary school students. by Ali Oladhamzehzadeh, masoumeh oladiyan, Mahmoud Safari

“…According to its purpose, the research method is applicable, and in terms of its implementation, it is mixed (qualitative-quantitative). …”
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