Childhood abuse and health outcomes in patients with fibromyalgia: a cross-sectional exploratory study of the moderating effects of pain catastrophizing and mindfulness by Jolin B. Yamin, Samantha M. Meints, Bethany D. Pester, Madelyn Crago, Lauren Papianou, Asimina Lazaridou, Myrella Paschali, Vitaly Napadow, Robert R. Edwards

“…Results As expected, catastrophizing was generally associated with elevated pain-related symptomatology and reduced functioning, and higher levels of mindfulness were associated with reduced pain impact. …”
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Collaborative Playlists around the World: A Cross-Cultural User Study by So Yeon Park, Jin Ha Lee, Audrey Laplante, Xiao Hu, Blair Kaneshiro

“…With these findings we discuss primary similarities and differences across the studied cultures and highlight directions for future investigations to further elucidate how music platforms with CP functionalities—and social capabilities more generally—can better help users achieve their desired goals around music.…”
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Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression by Majid Ghorbani, Abolfazl Mahmoodi, Mohammad Khaledi

“…Given the uniformity of changes in station data, it can be inferred that the resulting changes follow general patterns; thus, the stations that have a higher correlation coefficient have closer and more similar patterns and the stations that have a lower correlation coefficient will have unique and special patterns for the same station. …”
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Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine by Hamid Sabbaghi, Seyed Hassan Tabatabaei, Nader Fathianpour

“…An optimized SVM algorithm was developed herein using polynomial and radial basis kernel functions that resulted in multi-element geochemical anomaly models with accuracies exceeding 95% in the shortest possible time without trial-and-error approaches.…”
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Global connectivity and resilience in African Banking: Role of technology and regulation by Minyahil Alemu, Jayamohan M.K., Wondaferahu Mulugeta

“…Covering 21 African nations and five major global economies, we employ comovement analysis (2000–2023), generalized impulse response functions, and System-GMM (2010–2023). …”
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Neurobiological emergentism: sentience as an emergent process and the experiential gap by Todd E. Feinberg

“…One of the most controversial and debated problems regarding the nature of sentience, is how to integrate the biology and neurobiology of sentience with the problem of the “explanatory gaps” that are proposed to arise between the functions of the nervous system as objectively and scientifically explained and sentience—or more generally consciousness—as it is subjectively experienced. …”
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INFORMATION MODELING OF ORGANIZATION OF BRIDGES’ CONSTRUCTION UNDER STOCHASTIC UNCERTAINTY OF TIME PARAMETERS by T. V. Bobrova, M. S. Ratanin, E. P. Timofeeva

“…The research illustrates the process of building bridges as a complex hierarchical system, functioning in conditions of the initial data stochastic uncertainty. …”
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Histone H1 plays a role in heterochromatin formation and VSG expression site silencing in Trypanosoma brucei. by Megan L Povelones, Eva Gluenz, Marcin Dembek, Keith Gull, Gloria Rudenko

“…In addition, depletion of histone H1 results in chromatin becoming generally more accessible to endonucleases in bloodstream but not in insect form T. brucei. …”
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For a Semiotic Approach to Generative Image AI by Enzo D'Armenio, Maria Giulia Dondero, Adrien Deliège, Alessandro Sarti

“…This article analyzes the semiotic functioning of Midjourney and DALL•E, two generative AI models capable of producing images out of natural language prompts. …”
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Progression in Near-Infrared Fluorescence Imaging Technology for Lung Cancer Management by Xinglong Chen, Yuning Li, Jialin Su, Lemeng Zhang, Hongwen Liu

“…In the past years, great progress has been made in the field of NIR fluorescence imaging for lung cancer management, as well as the emergence of new problems and challenges. This paper generally summarizes the application of NIR fluorescence imaging technology in these areas in the past five years, including the design, detection principles, and clinical applications, with the aim of advancing more efficient NIR fluorescence imaging technologies to enhance the accuracy of tumor diagnosis and treatment.…”
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Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…To address these challenges, this paper proposes a traffic flow statistical method based on YBOVDT(YOLO-World and BOT-SORT-Open Vocabulary Detection and Tracking)and SAM2.Specifically, in the method, this paper proposes a “Traffic Flow Data Processing and Analysis” module, aiming to optimize and supplement the five core functions required for traffic flow statistics tasks, thereby making the functions of the entire solution more comprehensive.In addition, this paper combines the latest open set object detection and tracking algorithms to enhance the recognition ability and tracking stability of traffic objects. …”
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THE PHENOMENOSCOPIC ANALYSIS OF THE INTRAVISIBLE by Giorgio Derossi

“…It is only “intravisible” and therefore must be shown by means of a particular thought experiment: one suitably reintegrated with its inalienable visual-perceptual component and thus qualified—more so than the kind generally employed in philosophical and scientific demonstrations—to make visible the crucial factor otherwise unseen or merely glimpsed. …”
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Challenges to the performance of the regional health departments in Mauritania: a qualitative study by Mohamed Ali Ag Ahmed, Kirsten Accoe, Karina Kielmann, Bruno Marchal, Verónica Trasancos Buitrago, Hamma Issa Moussa, Bart Criel

“…Results This study assessed the performance of two RDHAs in Mauritania by analysing of their key functions. The participants noted a lack of clarity in their objectives, an overly bureaucratic vision of their functions and inadequate technical capacities hampering the provision of required services. …”
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Emergency medical dispatchers’ experiences of using the Medical Priority Dispatch System telephone triage to identify maternity emergencies: a qualitative focus group study by Rachael Fothergill, Joanna Shaw, Clara Bannister, Ayoola Ariyibi

“…We suggest changes including the use of more sensitive language in response to miscarriage and termination and make recommendations for the omission and inclusion of specific instructions, as well as enhancements to key questions and functionality. …”
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The Acceptability of Occupational Therapy Using Zones of Regulation™ Concepts in an Equine Environment to Autistic Children by Jacqueline M. Browne, Sarah Jean Reega, Ellen M. Rankins, Arlene A. Schmid, B. Caitlin Peters

“…Autistic children often have impaired self-regulation which can impact daily functioning and life outcomes. Occupational Therapy Using Zones of Regulation™ Concepts in an Equine Environment (OT-ZOR-Equine) is a standardized intervention that integrates both the Zones of Regulation™ curriculum and horses into occupational therapy to address self-regulation in autistic children. …”
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Low pressure amide hydrogenation enabled by magnetocatalysis by Sheng-Hsiang Lin, Sihana Ahmedi, Aaron Kretschmer, Carlotta Campalani, Yves Kayser, Liqun Kang, Serena DeBeer, Walter Leitner, Alexis Bordet

“…This work may pave the way toward a greatly enhanced practicability of amide hydrogenation at the laboratory and production scales, and demonstrates more generally the broad potential of the emerging field of magnetocatalysis for synthetic chemistry.…”
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Applying Deep Learning Methods for a Large-Scale Riparian Vegetation Classification from High-Resolution Multimodal Aerial Remote Sensing Data by Marcel Reinhardt, Edvinas Rommel, Maike Heuner, Björn Baschek

“…(V) Model uncertainty was successfully calibrated by using temperature scaling. The generalization ability of the trained model can be improved by adding more data from future aerial surveys.…”
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Adjoint‐Based Online Learning of Two‐Layer Quasi‐Geostrophic Baroclinic Turbulence by F. E. Yan, H. Frezat, J. Le Sommer, J. Mak, K. Otness

“…The full online approach, without the need of additional constraints, is found to result in models that are generally more skillful. Other details relating to online training, such as window size, machine learning model set up and designs of the loss functions are detailed to aid in further explorations of the online training methodology for Earth System Modeling.…”
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A Study of Deep Learning Models for Audio Classification of Infant Crying in a Baby Monitoring System by Denisa Maria Herlea, Bogdan Iancu, Eugen-Richard Ardelean

“…By comparing the performance of different machine learning algorithms, this study seeks to determine the most effective approach for the detection of infant crying, enhancing the functionality of baby monitoring systems and contributing to a more advanced understanding of audio-based deep learning applications. …”
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Quantifying the connectivity dimension of the soil security assessment framework by Julio C. Pachón Maldonado, Emma C. Leonard, Damien J. Field, Katie McRobert, Richard Heath, Alex B. McBratney

“…Using an online self-evaluation tool, the framework was applied to Australian land managers, focusing on the connectivity of two soil functions and six soil threats. The framework includes: utility graphs for each indicator; a method for nuanced interpretation of each soil role and connectivity indicators; spatial components; and automatic feedback to stakeholders. …”
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