Future global distribution and climatic suitability of Anopheles stephensi by Andre Luis Acosta, Marcia C. Castro, Gabriel Z. Laporta, Jan E. Conn, Maria Anice M. Sallum

“…Using a robust multi-model framework with eight algorithms and high-resolution climate data, this study assessed and mapped current and future global climate suitability for the species, incorporating demographic data to estimate populations at risk in different scenarios. …”
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A Heliocentric-orbiting Objects Processing System (HOPS) for the Wide Field Survey Telescope: Architecture, Processing Workflow, and Preliminary Results by Shao-Han Wang, Bing-Xue Fu, Jun-Qiang Lu, LuLu Fan, Min-Xuan Cai, Ze-Lin Xu, Xu Kong, Haibin Zhao, Bin Li, Ya-Ting Liu, Qing-feng Zhu, Xu Zhou, Zhen Wan, Jingquan Cheng, Ji-an Jiang, Feng Li, Ming Liang, Hao Liu, Wentao Luo, Zheng Lou, Hairen Wang, Jian Wang, Tinggui Wang, Yongquan Xue, Hongfei Zhang, Wen Zhao

“…HOPS integrates HelioLinC3D, an algorithm well suited for the WFST survey cadence, characterized by revisiting the same sky field twice on the majority of nights. …”
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A large-scale ENIGMA multisite replication study of brain age in depression by Laura K.M. Han, Richard Dinga, Ramona Leenings, Tim Hahn, James H. Cole, Lyubomir I. Aftanas, Alyssa R. Amod, Bianca Besteher, Romain Colle, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Konstantin V. Danilenko, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Roberto Goya-Maldonado, Nynke A. Groenewold, Paul Hamilton, Naho Ichikawa, Jonathan C. Ipser, Eri Itai, Sheri-Michelle Koopowitz, Meng Li, Go Okada, Yasumasa Okamoto, Olga S. Churikova, Evgeny A. Osipov, Brenda W.J.H. Penninx, Edith Pomarol-Clotet, Elena Rodríguez-Cano, Matthew D. Sacchet, Hotaka Shinzato, Kang Sim, Dan J. Stein, Aslihan Uyar-Demir, Dick J. Veltman, Lianne Schmaal

“…Future studies are needed to identify factors that may further explain the brain age gap variance between cohorts.…”
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Point-Of-Care low-field MRI in acute Stroke (POCS): protocol for a multicentric prospective open-label study evaluating diagnostic accuracy by Mauro Silvestrini, Simona Sacco, Massimo Caulo, Simona Marcheselli, Carmine Marini, Sergio Lucio Vinci, Angelo Galante, Marco Colasurdo, Raffaele Ornello, Matteo Foschi, Stefano Necozione, Mario Muselli, Paola Olimpia Achard, Luciano Fratocchi, Marco Cavallaro, Gabriele Polonara, Laura Straffi, Luca Sorrentino, Enrico Franconi, Marcello Alecci

“…Implementing LF-MRI in acute stroke care may offer several advantages, including extended applicability, increased safety, faster administration, reduced staffing and costs. …”
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Interpretability in deep learning for finance: A case study for the Heston model by Damiano Brigo, Xiaoshan Huang, Andrea Pallavicini, Haitz Sáez de Ocáriz Borde

“…In this study, we focused on the calibration of a stochastic volatility model, a subject recently tackled by deep-learning algorithms. We analyzed the Heston model in particular, as this model’s properties are well known, resulting in an ideal benchmark case. …”
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Corneal Allografts: Factors for and against Acceptance by Justyna Sakowska, Paulina Glasner, Maciej Zieliński, Piotr Trzonkowski, Leopold Glasner

“…Current developments in testing and immunosuppressive treatments (including cell therapies), when applied in corneal transplantation, may give very good results, decrease the possibility of rejection, and reduce the need for retransplantation, which is fairly frequent nowadays.…”
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An Overview of Quantum Machine Learning Research in China by Luning Li, Xuchen Zhang, Zhicheng Cui, Weiming Xu, Xuesen Xu, Jianyu Wang, Rong Shu

“…Furthermore, the current challenges and future prospects are discussed. This review may provide inspiration for both China’s and global QML-domain progress.…”
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Efficient and Constant Time Modular Reduction With Generalized Mersenne Primes by Serdar S. Erdem, Sezer S. Erdem

“…Because calculated values can be negative, two’s complement arithmetic is used in calculations. The proposed algorithms have substantial speed improvements over the classical algorithms in software. …”
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Breast tumors from ATM pathogenic variant carriers display a specific genome-wide DNA methylation profile by Nicolas M. Viart, Anne-Laure Renault, Séverine Eon-Marchais, Yue Jiao, Laetitia Fuhrmann, Sophia Murat El Houdigui, Dorothée Le Gal, Eve Cavaciuti, Marie-Gabrielle Dondon, Juana Beauvallet, Virginie Raynal, Dominique Stoppa-Lyonnet, Anne Vincent-Salomon, Nadine Andrieu, Melissa C. Southey, Fabienne Lesueur

“…This study aimed to investigate whether DNA methylation profiling can be useful as a biomarker to identify tumors arising in ATM PV carriers, which may help for the management and optimal tailoring of therapies of these patients. …”
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Diagnostics of leaks with unknown amplitudes against the background of interference caused by accidental consumption in the hydraulic system for the forest complex by Sazonova Svetlana, Zolnikov Konstantin, Skvortsova Tatyana, Kravchenko Andrey, Zarevich Anton

“…The formation of algorithms for leak detection is considered. It is shown that the solution to the problem of specific leak detection may vary depending on the type of hydraulic system and the technologies used. …”
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GEOLOGICAL AND GEOPHYSICAL CHARACTERISTICS OF THE ANABAR‐KHATANGA OIL AND GAS PROVINCE; NUMERICAL MODELING OF THE PROCESSES OF FORMATION OF SALT DOMES (SIBERIAN SECTOR OF THE RUSSI... by V. A. Kontorovich, В. V. Lunev, V. V. Lapkovsky

“…In our study, we used the algorithms and software packages developed by A.A. Trofimuk Institute of Petroleum Geology and Geophysics (IPGG SB RAS). …”
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Analysis of the Effect of Skin Pigmentation and Oxygen Saturation on Monte Carlo-Simulated Reflectance Photoplethysmography Signals by Raghda Al-Halawani, Meha Qassem, Panicos A. Kyriacou

“…These results suggest that in-built adjustments may be required for data collected from red-light sources in pulse oximeters that do not currently have the necessary post-processing algorithms to account for this difference between diverse skin populations.…”
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Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review by Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

“…Conventional diagnostic techniques for ALL, such as bone marrow and blood tests, can be expensive and time-consuming. They may be less useful in places with scarce resources. …”
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A Systematic Review of Sensor-Based Methods for Measurement of Eating Behavior by Delwar Hossain, J. Graham Thomas, Megan A. McCrory, Janine Higgins, Edward Sazonov

“…The dynamic process of eating—including chewing, biting, swallowing, food items, eating time and rate, mass, environment, and other metrics—may characterize behavioral aspects of eating. This article presents a systematic review of the use of sensor technology to measure and monitor eating behavior. …”
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MODERN APPROACH TO THE CHOICE OF ANESTHETIC MANAGEMENT DURING COMPUTED TOMOGRAPHY IN CHILDREN WITH CENTRAL NERVOUS PATOLOGY by Роман Васильевич Жданов, Евгений Валерьевич Григорьев, Василий Васильевич Жданов, Евгений Викторович Ивлев, Александр Владимирович Ушаков, Елена Эдуардовна Рубан

“…Thus, the analysis of domestic and foreign literature suggests that to date there is no clear choice of anesthetic technique algorithms during computed tomography in children. Although it is possible to use both intravenous anesthetic and inhalation applying last longer limited induction necessity presence anesthetist close to the patient and applying the mask on the face, which may put the computer head during imaging. …”
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Predictive analysis of doubly Type-Ⅱ censored models by Young Eun Jeon, Yongku Kim, Jung-In Seo

“…However, the observed sample size under this censoring scheme may not be large enough to apply a likelihood-based approach due to the occurrence of censoring at both ends. …”
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Traumatic Brain Injury and Artificial Intelligence: Shaping the Future of Neurorehabilitation—A Review by Seun Orenuga, Philip Jordache, Daniel Mirzai, Tyler Monteros, Ernesto Gonzalez, Ahmed Madkoor, Rahim Hirani, Raj K. Tiwari, Mill Etienne

“…Furthermore, AI enhances neuroimaging by detecting subtle abnormalities that may be missed by human radiologists, expediting diagnosis and treatment decisions. …”
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The Polarization Loop: How Emotions Drive Propagation of Disinformation in Online Media—The Case of Conspiracy Theories and Extreme Right Movements in Southern Europe by Erik Bran Marino, Jesus M. Benitez-Baleato, Ana Sofia Ribeiro

“…We suggest possible options to mitigate the negative effects of online polarization in democracy, including public oversight of algorithmic decission-making, involving social science and humanities in algorithmic design, and strengthening resilience of citizenship to prevent emotional overflow. …”
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Single Pixel Imaging Based on Multiple Prior Deep Unfolding Network by Quan Zou, Qiurong Yan, Qianling Dai, Ao Wang, Bo Yang, Yi Li, Jinwei Yan

“…However, existing deep unfolding networks mainly rely on a single piece of a priori information and may ignore other intrinsic structures of the image. …”
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Advancing ECG Signal Classification With a Fuzzy Classifier Approach by Jan Rabcan, Vitaly Levashenko, Elena Zaitseva, Miroslav Kvassay

“…However, preprocessing can also lead to the loss of small but potentially important information, which may affect the performance of classification algorithms. …”
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