Electroacupuncture Mitigates Hippocampal Cognitive Impairments by Reducing BACE1 Deposition and Activating PKA in APP/PS1 Double Transgenic Mice by Yinshan Tang, Shujun Shao, Yu Guo, You Zhou, Jin Cao, Anping Xu, Jihong Wu, Zhigang Li, Dulian Xiang

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Community advisory boards as implementation strategies to center partner and patient voice in community health centers by Rebekka M. Lee, Kamini Mallick, James G. Daly, Vetta Sanders Thompson, Elise Hoffman, Maria Papadopoulos, Stacey Curry

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The Arizona Molecular ISM Survey with the SMT: Variations in the CO(2–1)/CO(1–0) Line Ratio across the Galaxy Population by Ryan P. Keenan, Daniel P. Marrone, Garrett K. Keating

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Association of whole grain food consumption with lung cancer risk: a prospective cohort study by Kanran Wang, Junhan Zhao, Dingyi Yang, Mao Sun, Yongzhong Wu, Wei Zhou

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From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults by Ling-Jie Fan, Feng-Yi Wang, Jun-Han Zhao, Jun-Jie Zhang, Yang-An Li, Jia Tang, Tao Lin, Quan Wei

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Rates of Stellar Tidal Disruption Events around Intermediate-mass Black Holes by Janet N. Y. Chang, Lixin Dai, Hugo Pfister, Rudrani Kar Chowdhury, Priyamvada Natarajan

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Surgical antimicrobial prophylaxis among surgical patients: results from a retrospective observational study at a public hospital in Liberia by Michelle Niescierenko, John Shakpeh, Kayla Enriquez, Saned Raouf, Finda Mayah-Toto

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Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning by Zhuohan Yu, Yuning Yang, Xingjian Chen, Ka‐Chun Wong, Zhaolei Zhang, Yuming Zhao, Xiangtao Li

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Self-reported secondhand smoke exposure following the adoption of a national smoke-free policy in Poland: analysis of serial, cross-sectional, representative surveys, 2009–2019 by Mateusz Jankowski, Vaughan Rees, Wojciech Stefan Zgliczyński, Dorota Kaleta, Mariusz Gujski, Jarosław Pinkas

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Real-world smartphone-based point-of-care diagnostics in primary health care to monitor HbA1c levels in people with diabetes by Sabrina Rhode, Lisa Rogge, Marthoenis Marthoenis, Till Seuring, Hendra Zufry, Till Bärnighausen, Hizir Sofyan, Jennifer Manne-Goehler, Sebastian Vollmer

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Analgesic Quality Improvement in Paravertebral Blocks for Pediatric Nuss Procedure: An Exploratory Report on the Effects of Perineural Combined Glucocorticoids by Donham RN, Jin E, Caty MG, Thomas DA, Yuan C, Hollingsworth K, Zhang X, Yanez ND, Li J

“…Rebecca N Donham,1,* Evan Jin,2,* Michael G Caty,3 Donna-Ann Thomas,2 Claire Yuan,4 Kamren Hollingsworth,2 Xuewei Zhang,2 N David Yanez,5 Jinlei Li2,* 1Alabama College of Osteopathic Medicine, Dothan, AL, USA; 2Department of Anesthesiology, Yale University School of Medicine, New Haven, CT, USA; 3Department of Surgery, Yale University School of Medicine, New Haven, CT, USA; 4Harvard University, Cambridge, MA, USA; 5Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA*These authors contributed equally to this workCorrespondence: Jinlei Li, Department of Anesthesiology, Yale University School of Medicine, 20 York Street, New Haven, CT, 06510, USA, Tel +1 (475) 434-4038, Email jinlei.li@yale.eduPurpose: Pectus excavatum repair using the Nuss procedure is associated with significant postoperative opioid consumption even in the presence of a continuous thoracic paravertebral block.Patients and Methods: A CQI project was initiated by adding combined glucocorticoids as perineural adjuvants to continuous thoracic paravertebral block. …”
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Abortion and unintended pregnancy in Pakistan: new evidence for 2023 and trends over the past decade by Susheela Singh, Octavia Mulhern, Zeba Sathar, Iqbal H Shah, Muhammad Rehan Niazi, Tahira Parveen, Ali Mohammad Mir

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Identification of blood plasma protein ratios for distinguishing Alzheimer's disease from healthy controls using machine learning by Ali Safi, Elisa Giunti, Omar Melikechi, Weiming Xia, Noureddine Melikechi

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Knowledge mapping and emerging trends in cognitive impairment associated with chronic pain: A 2000–2024 bibliometric study by Li-yuan Zhao, Guang-fen Zhang, Jian-jun Yang, Yu-gang Diao, Kenji Hashimoto

“…The United States led in contributions, with Harvard Medical School emerging as the most prominent institution involved. …”
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Perspective: Current Scientific Evidence and Research Strategies in the Role of Almonds in Cardiometabolic Health by Paula R Trumbo, Jamy Ard, France Bellisle, Adam Drewnowski, Jack A Gilbert, Ronald Kleinman, Anoop Misra, John Sievenpiper, Maha Tahiri, Karol E Watson, James Hill

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Impact of the national health guidance intervention for obesity and cardiovascular risks on healthcare utilisation and healthcare spending in working-age Japanese cohort: regressio... by Yusuke Tsugawa, Shingo Fukuma, Mitsuru Mukaigawara, Toshiaki Iizuka

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Oncological challenges in GFAP-positive anaplastic meningioma: a case report and literature review by Minh Huu Nhat Le, Nghia Minh Tran, Thinh Linh Ho, Ky Vo Pham, Quynh-Nhu Le Vo, Duy T. K. Huynh, Huynh Phuong Thao Do, Phat Tuan Nguyen, Michael J. Diaz, Nhi Huu Hanh Le, Han Hong Huynh, Dang Nguyen, Minh Phuong Tang, Nguyen Quoc Khanh Le

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Changes in Locomotor Activity Observed During Acute Nicotine Withdrawal Can Be Attenuated by Ghrelin and GHRP-6 in Rats by Jázmin Ayman, András Buzás, Roberta Dochnal, Miklós Palotai, Miklós Jászberényi, Zsolt Bagosi

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The impact of neuroscience education therapy, behavioral economics, and digital navigators on patient migraine treatment adherence to a mobile health application: a prospective pil... by Mia T. Minen, Erin K. Waire, John Torous, Jessica Fishman, Richard B. Lipton, Scott W. Powers

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Deep Learning Framework for Advanced De-Identification of Protected Health Information by Ahmad Aloqaily, Emad E. Abdallah, Rahaf Al-Zyoud, Esraa Abu Elsoud, Malak Al-Hassan, Alaa E. Abdallah

“…This paper introduces a novel approach, leveraging a Bi-LSTM-CRF model to achieve accurate and reliable PHI de-identification, using the i2b2 dataset sourced from Harvard University. Unlike prior studies that often unify Bi-LSTM and CRF layers, our approach focuses on the individual design, optimization, and hyperparameter tuning of both the Bi-LSTM and CRF components, allowing for precise model performance improvements. …”
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