Article
Biochemistry & Molecular Biology
Laura S. van Velzen, Maria R. Dauvermann, Lejla Colic, Luca M. Villa, Hannah S. Savage, Yara J. Toenders, Alyssa H. Zhu, Joanna K. Bright, Adrian Campos, Lauren E. Salminen, Sonia Ambrogi, Rosa Ayesa-Arriola, Nerisa Banaj, Zeynep Basgoze, Jochen Bauer, Karina Blair, Robert James Blair, Katharina Brosch, Yuqi Cheng, Romain Colle, Colm G. Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Benedicto Crespo-Facorro, Kathryn R. Cullen, Udo Dannlowski, Christopher G. Davey, Katharina Dohm, Janice M. Fullerton, Ali Saffet Gonul, Ian H. Gotlib, Dominik Grotegerd, Tim Hahn, Ben J. Harrison, Mengxin He, Ian B. Hickie, Tiffany C. Ho, Frank Iorfino, Andreas Jansen, Fabrice Jollant, Tilo Kircher, Bonnie Klimes-Dougan, Melissa Klug, Elisabeth J. Leehr, Elizabeth T. C. Lippard, Katie A. McLaughlin, Susanne Meinert, Adam Bryant Miller, Philip B. Mitchell, Benson Mwangi, Igor Nenadic, Amar Ojha, Bronwyn J. Overs, Julia-Katharina Pfarr, Fabrizio Piras, Kai G. Ringwald, Gloria Roberts, Georg Romer, Marsal Sanches, Margaret A. Sheridan, Jair C. Soares, Gianfranco Spalletta, Frederike Stein, Giana Teresi, Diana Tordesillas-Gutierrez, Aslihan Uyar-Demir, Nic J. A. van der Wee, Steven J. van der Werff, Robert R. J. M. Vermeiren, Alexandra Winter, Mon-Ju Wu, Tony T. Yang, Paul M. Thompson, Miguel E. Renteria, Neda Jahanshad, Hilary P. Blumberg, Anne-Laura Van Harmelen, Lianne Schmaal
Summary: Identifying brain alterations associated with suicidal thoughts and behaviors in young people is critical for early intervention and prevention, but our understanding in this area is still limited.
MOLECULAR PSYCHIATRY
(2022)
Article
Multidisciplinary Sciences
Meng Qi, Hongxiang Shao, Nianfeng Shi, Guoqiang Wang, Yifei Lv
Summary: Cardiovascular diseases are the leading cause of deaths worldwide. This study focuses on optimizing the training of neural networks by conducting an in-depth analysis of existing ECG databases and proposing a unified ECG arrhythmia classification database called Hercules-3. The trained neural network achieved an accuracy rate of up to 98.67%, surpassing other data processing methods in terms of classification recall, accuracy, and F1-score.
Review
Behavioral Sciences
Emanuele Zanghi, Francesco Corallo, Viviana Lo Buono
Summary: Suicide is a significant cause of death among young people globally and is a serious public health issue. Research has found that there are white matter alterations in the brain associated with suicidal behavior, specifically in areas involved in emotion processing and regulation, decision-making, executive functions, and empathy.
BRAIN AND BEHAVIOR
(2022)
Review
Medicine, General & Internal
Muhammad Ajmal, Frank Marcus
Summary: Excellence in recording and interpreting ECG is essential for optimal electrocardiography, requiring accurate data on patient demographics, clinical diagnoses, medications, and laboratory results. The ECG should be conducted by a qualified technician and interpreted by an experienced physician.
AMERICAN JOURNAL OF MEDICINE
(2021)
Review
Biology
Giuseppe Bellastella, Maria Ida Maiorino, Lorenzo Scappaticcio, Annamaria De Bellis, Silvia Mercadante, Katherine Esposito, Antonio Bellastella
Summary: Chronobiology studies the relationship between biological phenomena and time, with many physiological processes regulated by internal clocks. Disruption of biological rhythms may lead to the onset of important disorders, including thyroid diseases.
Article
Clinical Neurology
Nicoli B. Xavier, Ana Carolina V. O. Abreu, Guilherme Rodriguez Amando, Eduardo Giordani Steibel, Luisa K. Pilz, Juliana Jury Freitas, Sanseray da Silveira Cruz-Machado, Regina P. Markus, Benicio N. Frey, Maria Paz Hidalgo
Summary: This study aimed to evaluate the potential predictors of adequate treatment response in MDD, including sleep, levels of 6-sulfatoxymelatonin, and other circadian parameters derived from actimetry. The results showed that increased activity levels, earlier peak of activity, and lower intradaily variability of light exposure were associated with early antidepressant response. Sleep parameters and 6-sulfatoxymelatonin levels did not predict treatment response.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Cardiac & Cardiovascular Systems
Liangtao Xia, Lu Huang, Xin Feng, Jiewen Xiao, Xiang Wei, Xinyu Yu
Summary: The study found significant seasonal, monthly, and circadian patterns in the onset of AAD. Patients with AAD of different Stanford-type dissections, sexes, ages, and hypertension statuses may exhibit different circadian variations. These findings could provide valuable insights into identifying triggers and preventing AAD.
Article
Cardiac & Cardiovascular Systems
Ibrahim El-Battrawy, Assem Aweimer, Siegfried Lang, Uzair Ansari, Thorsten Gietzen, Niklas Ullrich, Andreas Muegge, Xiaobo Zhou, Martin Borggrefe, Ibrahim Akin
Summary: Takotsubo syndrome (TTS) exhibits temporal preference in its onset, but this finding needs further analysis in a larger multicenter registry to confirm its significance.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2021)
Editorial Material
Chemistry, Physical
Jorge A. Vila
Summary: By assessing the amide hydrogen exchange protection factor, it is concluded that structural fluctuations in the native state of proteins are consistent with metamorphism. Therefore, the presence of metamorphism in the native state is more probable than previously thought based on preliminary results.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2021)
Article
Biophysics
Zhuoyang Xu, Yangming Guo, Tingting Zhao, Yue Zhao, Zhuo Liu, Xingzhi Sun, Guotong Xie, Yichong Li
Summary: This study aims to develop robust models that can accurately classify 30 types of cardiac abnormalities from various lead combinations of ECG signals.
PHYSIOLOGICAL MEASUREMENT
(2022)
Article
Chemistry, Physical
Roshini Arulraj, Rajendran Prabu, C. M. Sara Fidha, Karthik Eswaran, Rajini Murugesan, Swaminathan Shanmugan, Arthanareeswari Maruthapillai, Sengeni Anantharaj
Summary: This review critically analyzes the use of rhodium as a HER electrocatalyst, discussing recent developments and highlighting future directions.
JOURNAL OF MATERIALS CHEMISTRY A
(2023)
Article
Computer Science, Information Systems
Batyrkhan Omarov, Meirzhan Baikuvekov, Zeinel Momynkulov, Aray Kassenkhan, Saltanat Nuralykyzy, Andmereilim Iglikova
Summary: Heart disease is a leading cause of mortality worldwide. This research paper proposes a 3D Conv-LSTM model for heart disease detection using ECG signals. The model outperforms traditional 2D CNN models and other state-of-the-art deep learning models in terms of accuracy. It also shows promise in identifying abnormalities in specific ECG leads, making it a valuable tool for automated heart disease detection and diagnosis.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Editorial Material
Anesthesiology
Marcelo Gama de Abreu, Marcus J. Schultz, Ary Serpa Neto
Summary: Spin and fragility are common in randomised controlled trials published in anaesthesia journals. Staying with the facts and addressing only the primary endpoint in the conclusion of clinical research reports might help reduce spin. Routinely reporting the fragility index, in turn, could deliver information about robustness, enhancing the transparency of positive dichotomous results. It is in the best interest of clinical research that authors, reviewers, and journals come together to reduce spin and address the fragility of randomised controlled trials.
BRITISH JOURNAL OF ANAESTHESIA
(2023)
Article
Emergency Medicine
Leigha J. Winters, Ramandeep K. Dhillon, Gurjit K. Pannu, Patrick Terrassa, James F. Holmes, Mary L. Bing
Summary: This study found discrepancies between cardiologist and computer ECG interpretations, but most patients with computer-interpreted normal ECGs did not experience significant ischemic events, even after cardiologist review. A small number of patients had important cardiac outcomes, but immediate review by emergency physicians did not alter their outcomes.
AMERICAN JOURNAL OF EMERGENCY MEDICINE
(2022)
Review
Computer Science, Information Systems
Igor Matias, Nuno Garcia, Sandeep Pirbhulal, Virginie Felizardo, Nuno Pombo, Henriques Zacarias, Miguel Sousa, Eftim Zdravevski
Summary: This study reviewed articles published in the last ten years on predicting atrial fibrillation using artificial intelligence. It found that deep learning techniques can improve accuracy, but are not as widely used as expected. The research also revealed that the field of AI for prediction of AF is still in its early stages, with high potential for further study.
COMPUTER SCIENCE REVIEW
(2021)
Review
Physiology
Minyu Zhang, Biyang Xiao, Xiaoqi Chen, Bingming Ou, Songtao Wang
Summary: Non-alcoholic fatty liver disease (NAFLD) is closely related to bile acid and gut microbiota disorders. Exercise plays an important role in maintaining the homeostasis of the enterohepatic circulation and the health of the host gut microbiota by regulating the composition and function of the bile acid pool in the enterohepatic axis. Exercise has been recommended as a first-line intervention for NAFLD, and regulating bile acids through exercise may be a promising treatment strategy.
