Linking Electronic Health Record Prescribing Data and Pharmacy Dispensing Records to Identify Patient-Level Factors Associated With Psychotropic Medication Receipt: Retrospective S... by Peng Wu, Jillian H Hurst, Alexis French, Michael Chrestensen, Benjamin A Goldstein

“…We evaluated how dispensing information affects identifying patients receiving prescribed medications and assessing the association between filling prescriptions and subsequent health behaviors. MethodsThis retrospective study identified all new psychotropic prescriptions to patients younger than 18 years of age at Duke University Health System in 2021. …”
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mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process a... by Karthik Sama, Jaya Sreevalsan-Nair, Soumya Choudhary, Srilakshmi Nagendra, Preethi V Reddy, Asher Cohen, Urvakhsh Meherwan Mehta, John Torous

“…Through case examples focusing on relapse risk prediction in schizophrenia, mindLAMPVis is used to identify different visualization methods to compare different analytical results for each patient. …”
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The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

“…Research indicates that AI can reduce diagnostic times by 30% and improve glycemic control in 20% of patients compared to standard care.3Additionally, AI-powered applications and wearable devices can continuously monitor vital signs and lifestyle behaviors, providing users with real-time feedback. …”
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Distribution of 10-year cardiovascular disease risk levels in Mongolia: results from nation-wide health screening program by Bayarbold Dangaa, Batzorig Bayartsogt, Ariuntuya Tuvdendorj, Enkhbold Sereejav, Khurelbaatar Nyamdavaa, Damdindorj Boldbaatar, Enkhtur Yadamsuren, Otgonbat Altangerel, Oyuntugs Byambasukh, Narantuya Davaakhuu, Tumur-Ochir Tsedev-Ochir, Mijidsuren Ganbat, Munkhtulga Gantulga, Davaalkham Dambadarjaa, Oyunsuren Enebish

“…IntroductionThe Mongolian government recently initiated the first nationwide health screening program to assess the health status of the entire population using age-group specific health risk assessments related to the major noncommunicable diseases and behavioral risk factors. Based on data collected from nationwide health screening program, we estimated the distribution of 10-year cardiovascular disease (CVD) risks in the general population by using the risk prediction model recently published by the World Health Organization (WHO).MethodsA representative sample of 35,769 adults aged between 40 and 80 years old participated in nationwide health screening program, which covered all 21 Mongolian provinces and 9 districts in the capital city Ulaanbaatar. …”
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An absolute risk model to identify individuals at elevated risk for pancreatic cancer in the general population. by Alison P Klein, Sara Lindström, Julie B Mendelsohn, Emily Steplowski, Alan A Arslan, H Bas Bueno-de-Mesquita, Charles S Fuchs, Steven Gallinger, Myron Gross, Kathy Helzlsouer, Elizabeth A Holly, Eric J Jacobs, Andrea Lacroix, Donghui Li, Margaret T Mandelson, Sara H Olson, Gloria M Petersen, Harvey A Risch, Rachael Z Stolzenberg-Solomon, Wei Zheng, Laufey Amundadottir, Demetrius Albanes, Naomi E Allen, William R Bamlet, Marie-Christine Boutron-Ruault, Julie E Buring, Paige M Bracci, Federico Canzian, Sandra Clipp, Michelle Cotterchio, Eric J Duell, Joanne Elena, J Michael Gaziano, Edward L Giovannucci, Michael Goggins, Göran Hallmans, Manal Hassan, Amy Hutchinson, David J Hunter, Charles Kooperberg, Robert C Kurtz, Simin Liu, Kim Overvad, Domenico Palli, Alpa V Patel, Kari G Rabe, Xiao-Ou Shu, Nadia Slimani, Geoffrey S Tobias, Dimitrios Trichopoulos, Stephen K Van Den Eeden, Paolo Vineis, Jarmo Virtamo, Jean Wactawski-Wende, Brian M Wolpin, Herbert Yu, Kai Yu, Anne Zeleniuch-Jacquotte, Stephen J Chanock, Robert N Hoover, Patricia Hartge, Peter Kraft

“…However, a risk model can increase awareness of the various risk factors for pancreatic cancer, including modifiable behaviors.…”
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New possibilities of using perampanel in children. Efficacy and tolerability of perampanel in the treatment of epilepsy (literature review and experience of Svt. Luka’s Association... by K. Yu. Mukhin, O. A. Pylaeva, M. Yu. Bobylova, L. Yu. Glukhova

“…We observed no cases of pronounced cognitive impairments related to perampanel. Behavioral side effects, such as aggression, excitability, and behavioral disorders, were registered in 22 patients (8.14 %) and were considered the most problematic. …”
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Cloning, Identification, and Light Response Analysis of Two Circadian Clock Genes Cryptochrome and Period in Boring Giant Clam Tridacna crocea by Wenhong YANG, Yihan NAN, Meng LI, Chunsheng LIU, Yi YANG, Feng YU, Zhifeng GU

“…The software SignalP 5.0 Server and SMART 4.0 were used to conduct online analysis and prediction of giant clam Cryptochrome and Period functional domains. …”
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Most prominent challenges in translational neuroscience and strategic solutions to bridge the gaps: Perspectives from an editorial board interrogation by Dirk M. Hermann, Marco Bacigaluppi, Claudio L. Bassetti, Gabrio Bassotti, Johannes Boltze, Andrew Chan, Turgay Dalkara, Adam Denes, Exuperio Diez-Tejedor, Richard Dodel, Thorsten R. Doeppner, Egor Dzyubenko, Ayman ElAli, Tamas Fulop, Alexander Gerhard, Bernd Giebel, Janine Gronewold, Matthias Gunzer, Thomas Heinbockel, Kaibin Huang, Marcello Iriti, Hans-Otto Karnath, Kasteleijn-Nolst Trenite, Ertugrul Kilic, Giuseppe Lanza, Arthur Liesz, Tim Ullrich Magnus, Jessica Mandrioli, Ayan Mohamud-Yusuf, Thomas Müller, Suyue Pan, Luca Peruzzotti-Jametti, Stefano Pluchino, Ryszard Pluta, Aurel Popa-Wagner, Ameneh Rezayof, Mohamed L. Seghier, Xinhua Shu, Vikram Singh, Jussi Sipilä, Mark Slevin, Yamei Tang, Georgios Tsivgoulis, Giustino Varrassi, Chen Wang, Bayram Yilmaz, Maha S. Zaki, Jinwei Zhang

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International expert consensus on surgery for type 2 diabetes mellitus by Mohammad Kermansaravi, Islam Omar, Nicholas Finer, Carel Le Roux, Miguel A. Carbajo, David Sarwer, Luca Busetto, Jaime Ponce, Jennifer Logue, Helen M. Parretti, Mary O’Kane, Shahab Shahabi, Kamlesh Khunti, Alexandra I. Blakemore, Erik Stenberg, Sally Abbott, Aayed Alqahtani, Ali Aminian, Bassem Amr, Jose M. Balibrea, Rachel L. Batterham, Estuardo Behrens, Deepak L. Bhatt, Paul Chesworth, Pradeep Chowbey, Ken Clare, Manoel Galvao Neto, Yitka Graham, Ramen Goel, Wasim Hanif, Miguel F. Herrera, Kazunori Kasama, Radwan Kassir, Filip K. Knop, Shanu N. Kothari, Jon A. Kristinsson, Barbara McGowan, Andrew McKechnie, Karl Miller, Alex D. Miras, John Morton, Jane Ogden, Ralph Peterli, Jonathan H. Pinkney, Dimitri Pournaras, Sjaak Pouwels, Gerhard Prager, Paulina Salminen, Mireille J. Serlie, Asim Shabbir, Rishi Singhal, Shahrad Taheri, Abd A. Tahrani, Rudolf Weiner, Scott A. Shikora, Kamal Mahawar

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Dynamic alterations of SEEG characteristics during peri-ictal period and localization of seizure onset zone by Lidao Xu, Yongxin Yang, Qinghua Tan, Hongping Tan, Yifan Wang, Zeliang Hou, Jingxian Shen, Rihui Li, Yuxi Luo, Lizhang Zeng, Qiang Guo, Xuchu Weng, Jiuxing Liang

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The probability of preterm or early term second live births in the southern U.S. State of Georgia, 2011–2020 by Puneet Kaur Chehal, Maria Dieci, Zixuan Li, E. Kathleen Adams, Michael R. Kramer, Anne L. Dunlop

“…Conclusions A first live birth that is early term or preterm predicts a higher probability of a second early term or preterm birth. …”
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The moderating effect of self-efficacy on the relationship between parents and children and academic participation, considering the mediating variable of learning adaptation among... by meysam karamipour, samaneh mataji, rezvaneh kazem nezhad, maryam esfandyari

“…And it also affects the mental state and behavioral participation of students in learning activities in schools (Liu et al, 2012). …”
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Impact of COVID-19 on Corporate Cash Holdings and Speed of Adjustment by Abbas Aflatooni, Mohammad Khatiri, Farzad Eivani

“…These results are consistent with the precautionary motive for holding cash and align with the predictions of the pecking order and trade-off theories. …”
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A novel risk stratification system for primary small-cell carcinoma of the esophagus: indication for prognostication and staging by Yong Yang, Jing Yu, Silin Chen, Xiaomin Wang, Furong Wu, Cheng Huang, Yuping Lin, Tianlan Tang, Tiantian Gao, Zewei Zhang, Yiping Zhang, Liyan Wang, Junqiang Chen, Zhenyang Zhang, Weijie Wang, Jiangbo Lin, Ying Wang, Yuanji Xu, Lei Zhao

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Integrated single-cell and transcriptomic analysis of bone marrow-derived metastatic neuroblastoma reveals molecular mechanisms of metabolic reprogramming by Jing Chu, Rong Qin, Shu-Jing Wang, Qiang Wang, Qiang Wu

“…Metastatic NB cells residing in the BM exhibit distinct biological behaviors and are closely associated with treatment resistance and poor prognosis. …”
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Investigation of Configurations of \begin{document}${ \left[{\bf{UO}}_{\bf{2}}({\bf{OH}})_{\boldsymbol{m}}({\bf{H}}_{\bf{2}}{\bf{O}})_{\boldsymbol{n}}\right]^{{\bf{2}}-{\boldsymbol... by Xiu-lin ZENG, Meng-ke TIAN, Shuang-ling TANG, Xue-hai JU

“…The results herein provide theoretical basis for understanding and controlling the behaviors and reactions of uranyl aqueous solutions.…”
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Research progress of Ni-rich ternary cathode materials by Xueyi GUO, Haiyan CAI, Gaoqiang MAO, Wanjing YU, Hui TONG, Shuo YIN

“…Finally, the paper reviews future development directions for Ni-rich ternary cathode materials, including (1) the precise design and regulation of material structures at the molecular level to address material challenges from a molecular design perspective; (2) considering green and controllable synthesis and closed-loop recycling to achieve the high-value utilization of resources; (3) adopting non-destructive testing technologies to accurately analyze battery behaviors such as thermal runaway, structural degradation, and life cycle decay, to ensure the efficient operation and safety of the battery; and (4) utilizing artificial intelligence (AI) and big data analysis techniques to develop more accurate, comprehensive, and effective SOC/SOH (state of health) prediction models, which will enable the real-time assessment of the state and health of a battery. …”
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Peripheral inflammation and neurocognitive functioning in early psychosis: Specific associations of TNF-α and IL-6 with social cognition by Ana Catalán, Claudia Aymerich, José Manuel Rodríguez-Sánchez, Borja Pedruzo, Gonzalo Salazar de Pablo, Patxi Gil, Francisco Aguayo, Garazi Acasuso, Alvaro Collado-Pérez, Javier Goena, Olatz Ibarretxe, Iñaki Zorrilla, Ana González-Pinto, Leire Erkoreka, Daniel Alonso-Alconada, Paolo Fusar-Poli, Miguel Angel González-Torres

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Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences by Janet M. Baker, Peter Cariani

“…Our intent is to suggest what we think is possible, and to widen both the scope of brain theory and experimental inquiry into brain mechanisms, functions, and behaviors.…”
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Developing and validation of religious education curriculum in preschool by Zeinab Ashrafi Soltan-Ahmadi, Sadegh Maleki Avarsin, Javad Keyhan, jahangir yari

“…The results showed that the identified characteristics can predict religious education curriculum components in a favorable way (R2=0.552). …”
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