bluuebunny/crossref_metadata_2025_split huggingface dataset:
Small-rotative fixed-target serial synchrotron crystallography (SR-FT-SSX) for molecular crystals
Authors: Lewis Sam G. , Coulson Ben A. , Warren Anna J. , Warren Mark R. , Hatcher Lauren E. 
Published: November 2024

AbstractThe increasing availability of ultrabright Light Sources is facilitating the study of smaller crystals at faster timescales but with an increased risk of severe X-ray damage, leading to developments in multi-crystal methods such as serial crystallography (SX). SX studies on crystals with small unit cells are challenging as very few reflections are recorded in a single data image, making it difficult to determine the orientation matrix for each crystal and thus preventing the combination of the data from all crystals for structure solution. We herein present a Small-Rotative Fixed-Target Serial Synchrotron Crystallography (SR-FT-SSX) methodology, in which rotation of the serial target through a small diffraction angle $$(\varphi )$$

(

φ

)

at each crystal delivers high-quality data, facilitating ab initio unit cell determination and atomic-scale structure solution. The method is benchmarked using microcrystals of the small-molecule photoswitch sodium nitroprusside dihydrate, obtaining complete data to dmin = 0.6 Å by combining just 66 partial datasets selected against rigorous quality criteria.
How and why music therapy reduces distress and improves well-being in advanced dementia care: a realist review
Authors: Thompson Naomi , Odell-Miller Helen , Underwood Benjamin R. , Wolverson Emma , Hsu Ming-Hung 
Published: November 2024

AbstractPeople with advanced dementia are at increased risk of institutionalization and experiencing distress. Research suggests that music therapy could reduce distress, but less is known about the causal mechanisms. Here we conducted a realist review to develop a program theory for how music therapy may reduce distress and improve well-being for people with advanced dementia in institutional settings. Initially, data were extracted from key literature alongside secondary reflexive thematic analysis of semi-structured interviews and stakeholder consultation. Subsequently, systematic literature searches were conducted along with a stakeholder survey. Data were extracted to iteratively refine the rough theory. Finally, the program theory was presented to stakeholder groups for consolidation. The theory outlines the core elements of the music therapy intervention alongside the individual, interpersonal and institutional contexts required to instigate hidden mechanisms, including meeting the unmeet needs of the person with dementia in the moment and increasing communication and understanding of music therapy among staff and family members. Outcomes include short-term reductions in distress and improved well-being, with the potential for music to become embedded in the management of distress and regulation of the care environment within the institution. Insufficient data were found to theorize infrastructural factors impacting the use of music therapy with this population. This theory should be tested through empirical research and used to inform clinical practice and policy.
Polymicrobial infection in cystic fibrosis and future perspectives for improving Mycobacterium abscessus drug discovery
Authors: Baker Emily, J. , Allcott Gemma , Cox Jonathan A. G. 
Published: November 2024

AbstractPolymicrobial communities inhabit the cystic fibrosis (CF) airway, whereby microbial interactions can occur. One prominent CF pathogen is Mycobacterium abscessus, whose treatment is largely unsuccessful. This creates a need to discover novel antimicrobial agents to treat M. abscessus, however the methods used within antibiotic discovery are typically monomicrobial. This review will discuss this pathogen whilst considering the CF polymicrobial environment, to highlight future perspectives to improve M. abscessus drug discovery.
RETRACTED: Stopping peculiarities of the iterative algorithm for identifying scenes in at video stream
Authors: Alexandrov Islam , Titova Anastasia , Nogmov Muhamed , Karpov Nikita 
Published: November 2024

This article has been retracted because it substantially reflects the content and analysis of the following original published article without reference to it:
K. Bulatov, N. Razumnyi, V.V. Arlazarov. On optimal stopping strategies for text recognition in a video stream as an application of a monotone sequential decision model. IJDAR 22:303-314 (2019)
Retraction approved by the Editor and the Publisher on November 26, 2024.
„Medical Humanities“ oder Therapie als Kunst – Kunst als
Therapie
Authors: von Engelhardt Dietrich 
Published: November 2024

Zusammenfassung„Medical Humanities“ steht für eine „humane“ Humanmedizin, vereint
Naturwissenschaften mit Geisteswissenschaften, Künsten und Leben oder
Objektivität der Krankheit mit der Subjektivität des Kranken, vertritt eine
entsprechende Arzt-Patienten-Beziehung, relativiert die Identifizierung von
Krankheit als negativ und Gesundheit als positiv und greift vor allem im
sozialkulturellen Kontext und mit einer Fülle von Erfahrungen und Beispielen aus
Vergangenheit und Gegenwart Therapie als Kunst und Kunst als Therapie auf.
Homöopathie als Seil über Abgründe bei
Jugendlichen
Authors: Heé Hansjörg 
Published: November 2024

ZusammenfassungAn 2 Beispielen werden exemplarisch die Möglichkeiten einer homöopathischen
Unterstützung bei Entwicklungskrisen von Jugendlichen gezeigt. Bei Krisen im
Zusammenhang mit der Auseinandersetzung mit sich verändernden körperlichen,
sexuellen, sozialen, schulischen Themen genügt meistens eine homöopathische
Unterstützung, bei komplexen Störungen, insbesondere langjährigen sexuellen
Traumatisierungen, ist eine zusätzliche Begleitung durch regelmäßige Gespräche
oft unerlässlich.
Turkish Astragalus Species: Botanical Aspects, Secondary Metabolites, and Biotransformation
Authors: Ekiz Dinçman Güner , Aytaç Zeki , Çalış İhsan 
Published: November 2024

Abstract
Astragalus is a widespread genus comprising approximately 3500 species, both annual and perennial, found across Asia, Europe, Africa, and the Americas. In Turkey, it is represented by 63 sections and 485 taxa with a high endemism ratio (51%). In traditional medicine, the roots of various Astragalus species represent very old and well-known drugs used for antiperspirant, diuretic, and tonic purposes, as well as for the treatment of nephritis, diabetes, leukemia, and uterine cancer. The genus Astragalus is the richest source of cycloartane-type compounds, which display a diverse range of bioactivities, such as wound healing, immunomodulatory, antitumor, hepatoprotective, antimutagenic, antiviral, and antiprotozoal activities. Moreover, cycloastragenol, the main sapogenol of many cycloartane-type glycosides found in the Astragalus genus, has gained attention as a potent telomerase activator over the past decade. The preparation of cycloastragenol
derivatives could be significant in the near future due to their unique bioactivity. This review covers the botanical aspects of Astragalus L., as well as the phytochemical and biological activity studies conducted on Turkish Astragalus species, with a special focus on cycloartenols. It contains 36 articles reporting the phytochemistry of 29 Astragalus species and 111 new compounds, including 104 triterpene saponins. In addition to the phytochemical studies, this review summarizes the biotransformation studies on Astragalus cycloartanes via endophytic fungi isolated from the tissues of Astragalus species.
Pitching kinematics have direct and indirect effects on pitch
location in NCAA baseball
Authors: Lozowski Billy , Wang Chih-hsuan , Oliver Gretchen D. 
Published: November 2024

AbstractKinematics and release parameters are important factors of throw location; yet an
understanding of their relationship has yet to be achieved. This study sought to
explore this relationship. Kinematic data were collected for 77 collegiate
pitchers. Fifty-seven kinematic parameters were included in path analyses for
horizontal and vertical plate locations. Release angles were set as mediating
variables (MED) between independent and dependent variables. Eleven kinematic
variables directly (13 indirectly) affected the vertical plate location, while
23 kinematic variables directly affected the horizontal plate location (10
indirectly). Linear mixed models revealed that lateral trunk flexion at ball
release (R
2=0.908, BIC=−598, ICC=0.528) best explained
vertical plate location. Trunk flexion at foot contact
(R
2=0.944, BIC=−607, ICC=0.776), mediolateral center of mass
displacement at foot contact (R
2=0.974, BIC=−573, ICC=0.918)
and ball release (R
2=0.967, BIC=−593, ICC=0.865), and pelvis
rotation at ball release (R
2=0.965, BIC=−588, ICC=0.895)
models were identified for the horizontal plate location. Results indicate that
the relationship between pitching kinematics, release conditions, and throw
location is complex. Biomechanics can influence release parameters, which in
turn impacts the throw location. This work may serve to understand better how
biomechanics influence performance.
Late-Stage C–H Deuteration of Organic Compounds via Ligand-Enabled Palladium-Catalyzed Hydrogen Isotope Exchange
Authors: van Gemmeren Manuel , Beller Matthias 
Published: November 2024

Manuel van Gemmeren was born in Madrid (Spain) and raised in both Spain and Germany. After studying chemistry at the Albert-Ludwigs University in Freiburg until 2010, he conducted his doctoral studies in the lab of Prof. Benjamin List and obtained his doctorate in 2014 (summa cum laude). Subsequently, he joined the group of Prof. Rubén Martín for postdoctoral studies. From 2016 onwards, he established his independent research group at the University of Münster. In 2022, he joined the Otto Diels Institute of Organic Chemistry at Kiel University as a tenured professor of organic chemistry. Research in the van Gemmeren lab focusses on the development of novel synthetic methods, typically based on Pd-catalyzed C–H activation, that enable challenging transformations to proceed with catalyst-controlled reactivity and selectivity.Matthias Beller was born 1962 in Gudensberg (Germany) and studied chemistry at the University of Göttingen, Germany, where he completed his Ph.D. in 1989 in the group of Prof. L.-F. Tietze. As recipient of a Liebig scholarship, he subsequently spent one year studying with Prof. K. B. Sharpless at MIT, USA. From 1991 to 1995 he worked in industry. He then moved to the Technical University of München as a professor of inorganic chemistry. In 1998, he relocated to Rostock to head the Institute for Organic Catalysis, which in 2006 became the Leibniz Institute for Catalysis. The work of his group has been published in nearly 1150 original publications and reviews, and over 150 patent applications have been filed.
Bacteriology of Aspiration Pneumonia: The Lung Microbiome and the Changing Microbial Etiology
Authors: Fadell Francois , Saliba Ranime , El-Solh Ali A. 
Published: November 2024

AbstractAspiration pneumonia refers to the process of alveolar inflammation induced by the inhalation of oropharyngeal secretions into the lower respiratory tract. Predisposing factors comprise swallowing dysfunction, impaired cough reflex, and degenerative neurological diseases. Accumulating evidence projects a fading contribution of anaerobic bacteria in aspiration pneumonia at the expense of Gram-negative bacilli, with Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa, becoming the predominant organisms recovered from respiratory specimens. Aspiration of oropharyngeal secretions colonized with respiratory pathogens induces a profound disequilibrium of the lung microbiota resulting in a state of dysbiosis. Understanding this complex temporal variability between microbiome–host associations was only made possible with the introduction of metagenomic sequencing. In this narrative review, we summarize existing knowledge and elaborate on the evolving microbiology of aspiration pneumonia including the link between oral microbiome and pulmonary aspiration. We also highlight the progress and challenges in instituting microbiome-targeted strategies for preventing and treating the sequelae of aspiration pneumonia.
The sociopragmatic dimension of language use and evaluations of interactional behaviour
Authors: Bartali Valentina 
Published: November 2024

Abstract
Culture can influence how people communicate and the reasons behind linguistic choices. However, the evaluative
process has been mostly neglected, particularly in comparative studies. This paper aims to fill this gap. It compares how two sets
of participants, Italian and British-English speakers, rated own/others’ performances in roleplays involving different request
scenarios and it unpacks how their perceptions of sociopragmatic variables, such as social distance and request’s weight,
influenced their evaluation process. Follow-up retrospective interviews were employed and content-analysed, to unpack
participants’ evaluations. The results showed cross-cultural differences in importance, interpretation and expectations attached
to different variables and underlying values.
Intelligent detection of maize pests based on StyleGAN2-ADA and FNW YOLOv8
Authors: Liu Liu , Kai Xue , Qi Jiqi 
Published: November 2024

Abstract
Rapid and precise detection of maize pests at an early stage is important for reducing the economic loss of crops. To address the problem of poor and inefficient identification of maize pests in practical production environments, this study proposed an intelligent detection method for maize pests based on the StyleGAN2 and FNW YOLOv8 methods. Expanded maize pest data from StyleGAN2-ADA. In the feature extraction network, the replacement of a FasterNet lightweight network reduces the model complexity and speeds up detection. The normalization-based attention module (NAM) is integrated into the back end of the signature convergence network to suppress redundant non-significant feature representations. After optimizing the loss function via Wise Intersection of Union v3 (WIoU v3), the FNW YOLOv8 algorithm was introduced. The findings indicate that this algorithm enhances the precision and F1 scores by 3.77% and 5.95%, respectively, when compared to the baseline model. Notably, the FNW YOLOv8 model achieved real-time detection speed of 289.1 fps. Compared to normal models, the FNW YOLOv8 model addresses the limitations associated with standard models, including excess weight. The parameters for FNW YOLOv8 were minimized to just 1.74 million, resulting in a compact model size of 2.36 MB. At the same time, there was a significant decrease in the GFLOPS operations of the FNW YOLOv8. Consequently, to ensure the precision and timeliness of maize pest identification, it is essential to establish a theoretical foundation for their identification and detection on mobile devices.
Enhanced concrete crack detection using nonlinear ultrasonic signal denoising and feature enhancement with CEEMDAN, VMD and GRU
Authors: Liu Jianfeng , Wang Kui , Zhao Mingjie , Chen Yongjiang , Li Xia 
Published: November 2024

Abstract
The nonlinear ultrasonic detection signals of concrete are highly sensitive to micro-damage changes and are thus susceptible to noise interference. Consequently, denoising these detection signals is crucial. This study proposes a comprehensive automated denoising method for nonlinear ultrasonic detection signals of concrete damage. The method combines the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), the variational mode decomposition (VMD), and the gated recurrent unit (GRU). The original detection signal is first decomposed into intrinsic mode functions (IMFs) obtained from CEEMDAN to reduce the error of ensemble averaging. These IMFs are then categorized into three groups of integrated IMFs (IN-IMFs) based on the sample entropy. And the VMD results of each IN-IMF are input into the GRU model for training and denoising. The denoising results of each IN-IMF type are combined by superimposing or the GRU model to obtain the final comprehensive denoising result. Analysis of the denoising metrics indicates that the proposed method achieves slightly improved performance compared to the VMD-gray wolf optimizer combined with the EMD algorithm, CEEMDAN combined with fuzzy rough sets, and Dominant noise-aided EMD. The proposed method yields a signal-to-noise ratio of 11–12, a root mean square error of 0.12–0.13, and a normalized cross-correlation of 0.90–0.95. Unlike existing methods, the proposed denoising method enhances the nonlinear characteristics of the signal, increasing the range of nonlinear indicator changes (5.5 times or 27.9 times that before denoising). It also reduces the volatility of nonlinear coefficients with damage changes. In engineering applications, this method effectively eliminates interference information from nonlinear ultrasonic detection signals, enhancing the features of the target information.
Mixed Hegselmann-Krause dynamics on infinite graphs
Authors: Li Hsin-Lun 
Published: November 2024

Abstract
The mixed Hegselmann–Krause (HK) model covers the synchronous HK model, the asynchronous HK model and the Deffuant model. Previous studies (Li 2022 Discrete Continuous Dyn. Syst. B27 1149–62, Li 2023 Discrete Continuous Dyn. Syst. B28 2981–93) deal with the mixed HK model on finite graphs. In this study, we discuss the mixed HK model on infinite graphs which also covers the HK model and the Deffuant model on infinite graphs. Traditionally, the HK and Deffuant models are discussed separately, with the former belonging to the group interaction and the latter to the pair interaction. The mixed HK model interprets both group and pair interactions. We investigate the conditions under which asymptotic stability holds or under which any two vertices in the same component approach each other after some finite time in this dual interaction model.
Advances in sweat-activated batteries for powering wearable electronics: structures, materials, challenges, and perspectives
Authors: Yuan Yu , Lu Yile , Liang Tianyue , Jia Haowei , Meng Linghui , Zhu Yanzhe , Wang Jinbo , Huang Tianxu , Guan Peiyuan , Zhou Lu , Zhou Yingze , Li Zhi , Wan Tao , Chu Dewei 
Published: November 2024

Abstract
Flexible wearable devices have gained increasing attention in the field of health and fitness monitoring because of their biocompatibility and ability to collect biomarkers seamlessly and instantly. Consequently, a new research direction has emerged on how to power these portable electronic devices. Currently, the majority of wearable electronic devices are powered by lithium-ion batteries (LIBs). However, owing to safety concerns and the bulky size of LIBs, there is a growing demand for sustainable, light, and wearable power supplies. Thus, sweat-activated batteries (SABs) were recently proposed as a source of power generation and energy storage. To validate the feasibility of using SABs to power wearable devices, we briefly recalled the history of the development of SABs in recent years, as well as the present research outcomes. This review overviews three categories of SABs (conventional-redox batteries, metal-air batteries, and others), which based on two anode materials (Magnesium and Zinc) and the working mechanism of diverse categories was interspersed throughout the discussion. Moreover, the electrolytes in SABs and suitable substrates for integrating batteries into wearable devices are thoroughly discussed. Furthermore, various SAB application scenarios are reviewed. This comprehensive review will not only offer insights into the current state of SABs technology but also provide valuable guidance and suggestions for future advancements and applications in this field.
Triboelectric energy harvesting technology for self-powered personal health management
Authors: Kwon Yong Hyun , Meng Xiangchun , Xiao Xiao , Suh In-Yong , Kim Daun , Lee Jaehan , Kim Sang-Woo 
Published: November 2024

Abstract
The global healthcare landscape is increasingly challenged by the rising prevalence of chronic diseases and the demographic shift towards an aging population, necessitating the development of innovative and sustainable healthcare solutions. In this context, the emergence of triboelectric energy harvesters as a key technological breakthrough offers a viable pathway towards self-powered, efficient, and sustainable personal health management. This review critically examines the transformative potential of triboelectric nanogenerators (TENGs) in addressing the pressing challenges of modern healthcare, underscoring their unique benefits such as being battery-free, easy to fabricate, and cost-efficient. We begin by reviewing the fundamental mechanisms of triboelectrification at the atomic scale and presenting the contact electrification among various materials, such as metals, polymers, and semiconductors. The discussion subsequently extends to the commonly used materials for TENGs and explores advancements in their design and functionality, with an emphasis on structural and chemical innovations. Furthermore, the application spectrum of TENGs in personal health management is extensively reviewed, covering aspects including health monitoring, therapeutic intervention, health protection, and device powering, while highlighting their capacity for self-sustainability. The review concludes by addressing existing challenges while mapping out the latest significant contributions and prospective directions in TENG-based healthcare innovations. By facilitating a paradigm shift towards a more autonomous, cost-effective, and personalized healthcare model, independent of external power sources, TENGs are poised to markedly enhance the quality of care and overall well-being, marking the dawn of a new era in integrated personal health management.
Neurovascularization strategy: pathfinder and interlocutor for peripheral nerve tissue engineering in a sequential process
Authors: Zhan Ning , Li Shuangyang , Liu Zhichao , Zhang Jingyu , Zhang Xiaoting , Peng Lianjie , Tian Lixin , Lin Lining , Qiu Tao , Luo Yaxian , He Yong , Sun Mouyuan , Yu Mengfei , Wang Huiming 
Published: November 2024

Abstract
Neurovascularization serves as the prerequisite and assurance for fostering neurogenesis after peripheral nerve injury (PNI), not only contributing to the reconstruction of the regenerative neurovascular niche but also providing a surface and directionality for Schwann cell (SC) cords migration and axons elongation. Despite the development of nerve tissue engineering techniques has drawn increasing attention to the intervention approach for repairing nerve defects, systematic generalization summary of the efficient intervention to expedite nerve angiogenesis is still scarce. This review delves into the mechanisms by which macrophages within the nerve defect trigger angiogenesis after PNI and elucidates how the newborn vessels support nerve regeneration, and then extracts three major categories of strategies for producing vascularized nerves in vitro and in vivo from them, encompassing (1) in vitro prevascularization, (2) in vivo prevascularization, and (3) stimulation of neurovascularization in situ. Furthermore, we emphasize that the lack of accuracy for structure and spatiotemporal regulation, as well as the operational inconvenience and delayed connection to the host’s nerve stumps, have stuck the existing neurovascularization technology in the preclinical stage. The successful design of a future prospective clinical vascularized nerve scaffold should be guided by a comprehensive consideration of these aspects.