bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection and tracking for the awareness of surroundings of a ship based on deep learning
Authors: Lee Won-Jae , Roh Myung-Il , Lee Hye-Won , Ha Jisang , Cho Yeong-Min , Lee Sung-Jun , Son Nam-Sun 
Published: August 2021

Abstract
To prevent maritime accidents, it is crucial to be aware of the surrounding environment near ships. The images recorded by a camera mounted on a ship could be used for the awareness of other ships surrounding it. In this study, ship awareness was performed using three procedures: detection, localization, and tracking. Initially, ship detection was performed using the deep learning-based detection model, YOLO (You Only Look Once) v3, based on the camera image. A virtual image dataset was constructed using Unity to overcome the difficulty of obtaining camera images onboard with various sizes of ships, and to improve the detection performance. This was followed by the localization procedure in which the position of the horizon on the image was calculated using the orientation information from the ship. Subsequently, the position of the detected ship in the spatial coordinate system was calculated using the horizon information. Following this, the position, course over ground, and speed over ground of the target ships were tracked in the time domain using the extended Kalman filter. A deep learning model that determines the heading of the ship in the image was proposed to utilize abundant information of cameras, and it was used to set the initial value of the Kalman filter. Finally, the proposed method for the awareness of ships was validated using an actual video captured from a camera installed on an actual ship with various encountering scenarios. The tracking results were compared with actual automatic identification system data obtained from other ships. As a result, the entire detection, localization, and tracking procedures showed good performance, and it was estimated that the proposed method for the awareness of the surroundings of a ship, based on camera images, could be used in the future.
Social Media Browsing and Adolescent Well-Being: Challenging the “Passive Social Media Use Hypothesis”
Authors: Valkenburg Patti M , Beyens Ine , Pouwels J Loes , van Driel Irene I , Keijsers Loes 
Published: August 2021

Abstract
A recurring hypothesis in the literature is that “passive” social media use (browsing) leads to negative effects on well-being. This preregistered study investigated a rival hypothesis, which states that the effects of browsing on well-being depend on person-specific susceptibilities to envy, inspiration, and enjoyment. We conducted a three-week experience sampling study among 353 adolescents (13–15 years, 126 assessments per adolescent). Using an advanced N = 1 method of analysis, we found sizeable heterogeneity in the associations of browsing with envy, inspiration, and enjoyment (e.g., for envy ranging from β = −.44 to β = +.71). The Passive Social Media Use Hypothesis was confirmed for 20% of adolescents and rejected for 80%. More adolescents with browsing-induced envy experienced negative effects on affective well-being (25%) than adolescents with no browsing-induced envy (13%). Conversely, more adolescents with browsing-induced enjoyment experienced positive effects on affective well-being (47%) than adolescents with no browsing-induced enjoyment (9%).
Differential semblance optimisation based on the adaptive quadratic Wasserstein distance
Authors: Yu Zhennan , Liu Yang 
Published: August 2021

Abstract
As the robustness for the wave equation-based inversion methods, wave equation migration velocity analysis (WEMVA) is stable for overcoming the multipathing problem and has become popular in recent years. As a rapidly developed method, differential semblance optimisation (DSO) is convenient to implement and can automatically detect the moveout existing in common image gathers (CIGs). However, by implementing in the image domain with the target of minimising moveouts and improving coherence of the CIGs, the DSO method often suffers from imaging artefacts caused by uneven illumination and irregular observation geometry, which may produce poor velocity updates with artefact contamination. To deal with this issue, in this paper, by introducing Wiener-like filters, we modify the conventional image matching-based objective function to a new one by introducing the quadratic Wasserstein metric technique. The new misfit function measures the distance of two distributions obtained by the convolutional filters and target functions. With the new misfit function, the adjoint sources and the corresponding gradients are improved. We apply the new method to two numerical examples and one field dataset. The corresponding results indicate that the new method is robust to compensate low frequency components of velocity models.
Challenges in the production and use of probiotics as therapeuticals in cancer treatment or prevention
Authors: Mejía-Caballero Alejandra , Salas-Villagrán Vianey Anahi , Jiménez-Serna Alaide , Farrés Amelia 
Published: August 2021

AbstractProbiotics were defined as microbial strains that confer health benefits to their consumers. The concept has evolved during the last 20 years, and today metabolites produced by the strains, known as postbiotics, and even dead cells, known as paraprobiotics, are closely associated to them. The isolation of commensal strains from human microbiome has led to the development of next generation probiotics. This review aims to present an overview of the developments in the area of cancer prevention and treatment, intimately related to advances in the knowledge of the microbiome role in its genesis and therapy. Strain identification and characterization, production processes, delivery strategies, and clinical evaluation are crucial to translate results into the market with solid scientific support. Examples of recent tools in isolation, strain typification, quality control, and development of new probiotic strains are described. Probiotics market and regulation were originally developed in the food sector, but these new strategies will impact the pharmaceutical and health sectors, requiring new considerations in regulatory frameworks.
The effects of formalin fixation and fluid storage on stable isotopes in rodent hair
Authors: Taylor David , deJesus Elia J , Novak Mark , Terry Rebecca C 
Published: August 2021

AbstractStable isotopes are increasingly being used to unlock the wealth of information contained in specimens preserved in museum collections. However, preservation methods that employ formalin may confound ecological interpretations. To quantify the effects of formalin fixation and subsequent fluid storage in ethanol on the isotopic signatures of small mammal hair, we analyzed δ 13C and δ 15N values from specimens of seven rodent species that were sampled repeatedly both before and after varying lengths of formalin fixation (1–11 days) and ethanol storage (1–6 years). We supplemented these data with a 2-week fixation experiment using deer mice (Peromyscus maniculatus) in which no ethanol storage was employed. As expected, preservation in formalin and ethanol had no discernable effect on δ 15N values. In contrast, specimen δ 13C values decreased in a saturating fashion during formalin fixation and over subsequent years of fluid storage in ethanol. On the basis of models that we fit to these time series, we estimate the long-term effect of fixation and storage on δ 13C values to be −0.92‰ after 4 years. This biologically relevant shift in δ 13C values should be accounted for when inferring the diets of species from fluid-stored museum collections and when comparing across specimens with different preservation histories.
Data-driven electron microscopy: electron diffraction imaging of materials structural properties
Authors: Zuo Jian-Min , Yuan Renliang , Shao Yu-Tsun , Hsiao Haw-Wen , Pidaparthy Saran , Hu Yang , Yang Qun , Zhang Jiong 
Published: August 2021

Abstract
Transmission electron diffraction is a powerful and versatile structural probe for the characterization of a broad range of materials, from nanocrystalline thin films to single crystals. With recent developments in fast electron detectors and efficient computer algorithms, it now becomes possible to collect unprecedently large datasets of diffraction patterns (DPs) and process DPs to extract crystallographic information to form images or tomograms based on crystal structural properties, giving rise to data-driven electron microscopy. Critical to this kind of imaging is the type of crystallographic information being collected, which can be achieved with a judicious choice of electron diffraction techniques, and the efficiency and accuracy of DP processing, which requires the development of new algorithms. Here, we review recent progress made in data collection, new algorithms, and automated electron DP analysis. These progresses will be highlighted using application examples in materials research. Future opportunities based on smart sampling and machine learning are also discussed.
Management of SARS-CoV-2 in the Military and Lessons for Future Pandemics
Authors: Yi-Song Liew Terence , Zhi Qiang Seah Benjamin , Chua Choon Guan , Boon Chuan Tan Benjamin 
Published: August 2021

ABSTRACTIntroductionThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has resulted in devastating consequences, with high death tolls and significant impact on global health, geopolitics, and socioeconomic aspects of society among others. Militaries around the world have been affected in many ways, in terms of force attrition and disruption to operations.Materials and MethodsThe Republic of Singapore Air Force (RSAF) had formulated multiple strategies and executed several contingency plans to respond swiftly and effectively to the pandemic. Measures taken by the RSAF included leveraging pandemic drawer plans, continuous medical intelligence gathering on SARS-CoV-2 characteristics, conducting rapid disease testing and contact tracing, formulating a risk assessment matrix for personnel based overseas, enforcing safe management measures and mask-wearing, and ensuring that critical medical functions were sustained.ResultsThis article summarizes important lessons learnt that may be applied to future pandemics, including the importance of threat assessment, pandemic preparedness, adopting a tiered defense strategy, widespread testing, expeditious contact tracing and isolation, effective communication, and re-defining the new norms for post-pandemic recovery.ConclusionThe military remains essential to every country’s defense and security. However, its unique construct and nature of operations may render it susceptible to uncontained viral transmission. To minimize manpower attrition and maximize force health in the face of a devastating pandemic, well-thought and tailored management measures must be implemented.
Core formation in high-z massive haloes: heating by post-compaction satellites and response to AGN outflows
Authors: Dekel Avishai , Freundlich Jonathan , Jiang Fangzhou , Lapiner Sharon , Burkert Andreas , Ceverino Daniel , Du Xiaolong , Genzel Reinhard , Primack Joel 
Published: August 2021

ABSTRACT
Observed rotation curves in star-forming galaxies indicate a puzzling dearth of dark matter in extended flat cores within haloes of mass ≥1012M⊙ at z ∼ 2. This is not reproduced by current cosmological simulations, and supernova-driven outflows are not effective in such massive haloes. We address a hybrid scenario where post-compaction merging satellites heat up the dark-matter cusps by dynamical friction, allowing active galactic nucleus (AGN)-driven outflows to generate cores. Using analytic and semi-analytic models (SatGen), we estimate the dynamical friction heating as a function of satellite compactness for a cosmological sequence of mergers. Cosmological simulations (VELA) demonstrate that satellites of initial virial masses &gt;1011.3M⊙, which undergo wet compactions, become sufficiently compact for significant heating. Constituting a major fraction of the accretion on to haloes ≥1012M⊙, these satellites heat up the cusps in half a virial time at z ∼ 2. Using a model for outflow-driven core formation (CuspCore), we demonstrate that the heated dark-matter cusps develop extended cores in response to removal of half the gas mass, while the more compact stellar systems remain intact. The mergers keep the dark matter hot, while the gas supply, fresh and recycled, is sufficient for the AGN outflows. AGNs indeed become effective in haloes ≥1012M⊙, where the black hole growth is no longer suppressed by supernovae and its compaction-driven rapid growth is maintained by a hot circumgalactic medium. For simulations to reproduce the dynamical friction effects, they should resolve the compaction of the massive satellites and avoid artificial tidal disruption. AGN feedback could be boosted by clumpy black hole accretion and clumpy response to AGN.
Resourcing Popular Music for Relevant Themes in Music Therapy with Perinatal Loss
Authors: Mondanaro John 
Published: August 2021

Abstract
Perinatal loss poses unique challenges to grief work because of the complexity of dynamics it carries. Historically shrouded in socially and culturally based belief systems often impeding normal grief responses, the barriers to healthy processing have been surmounted in recent decades. The emergence of music therapy in partnership with social work is one such approach to addressing both anticipatory grief and bereavement of parents enduring the death of their infant prenatally. This retrospective article highlights the resourcing of popular music within a clinical music therapy approach to the curation of a perinatal bereavement event within a large hospital system in a metropolitan area. Popular music as a ubiquitous art form lends tangibility and relevance to the complicated themes of perinatal loss in a manner that invites bereft parents into a forum of acceptance and acknowledgment of a loss that for too long has remained in the shadows.
The CRY2–COP1–HY5–BBX7/8 module regulates blue light-dependent cold acclimation in Arabidopsis
Authors: Li Youping , Shi Yiting , Li Minze , Fu Diyi , Wu Shifeng , Li Jigang , Gong Zhizhong , Liu Hongtao , Yang Shuhua 
Published: August 2021

AbstractLight and temperature are two key environmental factors that coordinately regulate plant growth and development. Although the mechanisms that integrate signaling mediated by cold and red light have been unraveled, the roles of the blue light photoreceptors cryptochromes in plant responses to cold remain unclear. In this study, we demonstrate that the CRYPTOCHROME2 (CRY2)-COP1-HY5-BBX7/8 module regulates blue light-dependent cold acclimation in Arabidopsis thaliana. We show that phosphorylated forms of CRY2 induced by blue light are stabilized by cold stress and that cold-stabilized CRY2 competes with the transcription factor HY5 to attenuate the HY5–COP1 interaction, thereby allowing HY5 to accumulate at cold temperatures. Furthermore, our data demonstrate that B-BOX DOMAIN PROTEIN7 (BBX7) and BBX8 function as direct HY5 targets that positively regulate freezing tolerance by modulating the expression of a set of cold-responsive genes, which mainly occurs independently of the C-repeat-binding factor pathway. Our study uncovers a mechanistic framework by which CRY2-mediated blue-light signaling enhances freezing tolerance, shedding light on the molecular mechanisms underlying the crosstalk between cold and light signaling pathways in plants.
Reporting of Adverse Events in Randomized Controlled Trials of Therapeutic Exercise for Hip Osteoarthritis: A Systematic Review
Authors: James Khara A , von Heideken Johan , Iversen Maura D 
Published: August 2021

AbstractObjectiveThe purpose of this study was to describe adverse events (AEs) and dropouts (DOs) in randomized controlled trials of therapeutic exercise for hip osteoarthritis (HOA) and to identify whether Consolidated Standards of Reporting Trials (CONSORT) guidelines were followed.MethodsThe Cochrane Library, Embase, PubMed, and CINAHL databases were searched. Randomized controlled trials of therapeutic exercise for HOA published in English from January 1, 1980 to August 1, 2020 were included. Studies were excluded if other interventions were provided, if participants had previous hip arthroplasty, or if AEs and DOs for HOA participants were not reported separately. The internal validity of each study (Physiotherapy Evidence Database [PEDro] scoring) was assessed, participant and intervention characteristics were extracted, and the existence of a clear statement and reasons for AEs and DOs was reported. Descriptive statistics characterized results. Data heterogeneity prohibited the use of meta-analysis.ResultsFourteen studies (mean PEDro score = 7.4; range = 6-10) from 10 countries were included, with 707 participants exercising. Exercise intensity was unspecified in 72.2% of exercise arms. Six studies (42.9%) included a statement of AEs, and 32 AEs were reported. All studies had a DO statement, but 29.0% of DOs occurred for unknown reasons. Six studies (42.9%) gave reasons for DOs that could be classified as AEs in 9 participants; 41 participants (5.8%) experienced exercise-related AEs.ConclusionReports of AEs were inconsistent, some DOs were potentially misclassified, and primary components of exercise interventions were frequently unreported. Despite these limitations, the overall low number of nonserious AEs suggests that the exercise-related risk of harm is minimal for individuals with HOA.ImpactUnderstanding the risk of harm associated with exercise for HOA can better inform safe dosing of exercise, clinical implementation, and replicability. Informative, consistent reporting of AEs, DOs, and exercise is needed. Greater use of the CONSORT harms-reporting checklist is warranted.
Effectiveness of a Multicomponent Treatment Based on Pain Neuroscience Education, Therapeutic Exercise, Cognitive Behavioral Therapy, and Mindfulness in Patients With Fibromyalgia (FIBROWALK Study): A Randomized Controlled Trial
Authors: Serrat Mayte , Sanabria-Mazo Juan P , Almirall Míriam , Musté Marta , Feliu-Soler Albert , Méndez-Ulrich Jorge L , Sanz Antoni , Luciano Juan V 
Published: August 2021

AbstractObjectiveThe purpose of this study was to evaluate the effectiveness of a 12-week multicomponent treatment based on pain neuroscience education, therapeutic exercise, cognitive behavioral therapy, and mindfulness—in addition to treatment as usual—compared with treatment as usual only in patients with fibromyalgia.MethodsThis randomized controlled trial involved a total of 272 patients who were randomly assigned to either multicomponent treatment (n = 135) or treatment as usual (n = 137). The multicomponent treatment (2-hour weekly sessions) was delivered in groups of 20 participants. Treatment as usual was mainly based on pharmacological treatment according to the predominant symptoms. Data on functional impairment using the Revised Fibromyalgia Impact Questionnaire as the primary outcome were collected as were data for pain, fatigue, kinesiophobia, physical function, anxiety, and depressive symptoms (secondary outcomes) at baseline, 12 weeks, and, for the multicomponent group only, 6 and 9 months. An intention-to-treat approach was used to analyze between-group differences. Baseline differences between responders (&gt;20% Revised Fibromyalgia Impact Questionnaire reduction) and nonresponders also were analyzed, and the number needed to treat was computed.ResultsAt posttreatment, significant between-group differences with a large effect size (Cohen d &gt; 0.80) in favor of the multicomponent treatment were found in functional impairment, pain, kinesiophobia, and physical function, whereas differences with a moderate size effect (Cohen d &gt; 0.50 and &lt;0.80) were found in fatigue, anxiety, and depressive symptoms. Nonresponders scored higher on depressive symptoms than responders at baseline. The number needed to treat was 2 (95% CI = 1.7–2.3).ConclusionCompared with usual care, there was evidence of short-term (up to 3 months) positive effects of the multicomponent treatment for fibromyalgia. Some methodological shortcomings (eg, absence of follow-up in the control group and monitoring of treatment adherence, potential research allegiance) preclude robust conclusions regarding the proposed multicomponent program.ImpactDespite some methodological shortcomings in the design of this study, the multicomponent therapy FIBROWALK can be considered a novel and effective treatment for patients with fibromyalgia. Physical therapists should detect patients with clinically relevant depression levels prior to treatment because depression can buffer treatment effects.Lay SummaryFibromyalgia is prevalent and can be expensive to treat. This multicomponent treatment could significantly improve the core symptoms of fibromyalgia compared with usual treatment.
Effects of Photobiomodulation Therapy Combined With Exercise in Patients Who Have Chronic Low Back Pain: Protocol for a Randomized Controlled Trial
Authors: dos Santos Flávia Franciele , Braga Morgana Lopes , Barroso Micaelen Mara Ferreira , Oliveira Vinícius Cunha , Oliveira Murilo Xavier 
Published: August 2021

Abstract

Objective
Although commonly prescribed, exercise therapy alone is insufficient for the treatment of low back pain (LBP). Thus, studies recommend a combination of interventions. Photobiomodulation therapy (PBMT) involving low-level laser is an effective intervention for relieving LBP; however, scientific evidence on the effects of laser therapy combined with exercise therapy is scarce and contradictory. The aim of this clinical trial is to evaluate the short-term and long-term effects of the combination of PBMT and an exercise protocol in individuals with persistent nonspecificLBP.

Methods
This 2-armed, randomized, placebo-controlled trial with blinded participants, assessors, and therapists will be conducted in the outpatient physical therapy clinic of a university in Diamantina, Brazil. Participants are 90 individuals between 18 and 65 years of age with self-reported LBP. The participants will be randomly allocated to (1) a 6-week exercise program combined with active PBMT at a frequency of twice per week, totaling 12 sessions (n = 45), or (2) a 6-week exercise program combined with placebo PBMT (n = 45). Clinical outcomes will be measured at baseline as well as at 8 and 20 weeks and 12 months after randomization. The primary outcomes will be pain intensity and disability. The secondary outcomes will be mental health, mobility, disability, and strength of the trunk extensor muscles.

Impact
The findings will help determine whether adding PBMT to a physical therapist–supervised exercise protocol is more effective than the exercise protocol alone for persistent LBP. This study has the potential to guide clinical practice toward innovative ways of providing health care.