bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards a Sigmatics of the Word ‘Norm’: An Ontological Turn in the Semiotics of the Normative
Authors: Di Lucia Paolo , Passerini Glazel Lorenzo 
Published: August 2022

AbstractDuring the twentieth century, the development of semiotics and philosophy of language had a great influence on the investigation of normative phenomena, particularly within the philosophy of law: the analysis of normative language became the prevalent methodological approach among many legal philosophers, and the science of law was frequently understood as an analysis of the object language of law. This approach led to the development of a linguistic ontology of the normative and to a semiotic theory of the validity of norms, in which norms are conceived of as linguistic entities, and their validity is accordingly conceived of as a predicate of normative sentences. However, the resort to a semiotic approach for the investigation of normative phenomena does not necessarily imply the adoption of a linguistic ontology of norms. The semiotic analysis of the possible referents of the word ‘norm’ elaborated by Conte (“Studio per una teoria della validità”, Giappichelli, Torino [1970]1995; entry “Norma” in Enciclopedia filosofica, Bompiani, Milano, 2006) shows that the word ‘norm’ may alternately refer to both linguistic entities and non-linguistic entities, such as deontic states-of-affairs and deontic noemata. Such a “sigmatic” analysis exhibits the relevance of the ontological notion of deontic states-of-affairs, and of the correlative notion of “syntactical validity”. After reconstructing Conte’s theory of validity, we wonder whether validity is necessarily to be conceived of as systemic validity, or also an asystemic and factual validity of norms should be considered.
Multi-aspect detection and classification with multi-feed dynamic frame skipping in vehicle of internet things
Authors: Ahmed Usman , Lin Jerry Chun-Wei , Srivastava Gautam 
Published: August 2022

AbstractConsumer demand for automobiles is changing because of the vehicle’s dependability and utility, and the superb design and high comfort make the vehicle a wealthy object class. The creation of object classes necessitates the creation of more sophisticated computer vision models. However, the critical issue is image quality, determined by lighting conditions, viewing angle, and physical vehicle construction. This work focuses on creating and implementing a deep learning-based traffic analysis system. Using a variety of video feeds and vehicle information, the developed model recognizes, categorizes, and counts vehicles in real-time traffic flow. The dynamic skipping method offered in the developed model speeds up the processing of a lengthy video stream while ensuring that the video picture is delivered accurately to the viewer. In real-time traffic, standard vehicle retrieval may assist in determining the make, model, and year of the vehicle. Previous MobileNet and VGG19 models achieved F-values of 0.81 and 0.91, respectively. However, the proposed solution raises MobileNet’s frame rate from 71.2 to 89.17 and VGG19’s frame rate from 48.2 to 59.14. The method may be applied to a wide range of applications that require a dedicated zone to monitor real-time data analysis and normal multimedia operations.
Health effects of outdoor water sports in chronic disease: a scoping review
Authors: Cugusi Lucia , Meloni Martina , Bergamin Marco , Gobbo Stefano , Di Blasio Andrea , Conca Corrado , Bassareo Pier Paolo , Piras Alessandra , Bandiera Pasquale 
Published: August 2022

Abstract
Background
Although outdoor water sport activities are gaining increasing attention for their therapeutic potential in the social and care management of populations with chronic diseases, these practices are currently underutilised. Moreover, the available body of literature on the topic has not been critically and comprehensively assessed yet.

Aims
(1) To appraise the health effects of outdoor water sport activities for chronic disease populations; (2) to preliminarily assess the potential size and scope of the available research literature for this emerging field and identify potential gaps and avenues of development.

Methods
A literature search was performed scanning PubMed (including MEDLINE), Physiotherapy Evidence Database (PEDro) and Scopus from inception to December 2021. A scoping review was carried out by appraising all the available evidence on outdoor water sport interventions specifically designed for therapeutic purposes for individuals with chronic disease. The quality score of each study was calculated with the Tool for the assEssment of Study qualiTy and reporting in Exercise (TESTEX) tool.

Results
Fifteen studies (five RCTs, seven non-RCTs and three CTs with healthy subjects as controls) met the inclusion criteria and were assessed. Among the studies selected, two focused on canoa kayak, one on stand-up paddle, two on surfing, two on sailing activity, and eight on dragon boat padding. The median TESTEX score for study quality and reporting was 6/15, i.e., “very low” (range 5–8). Based on the qualitative analysis, the few individual studies that could be included reported generally positive results, ranging from improvements in antioxidant action and cardiovascular function for dragon boating, to beneficial effects on balance, postural control, and flexibility for on-water paddle board activities. Overall, outdoor water sport interventions were associated to higher rates of adherence than conventional trainings.

Conclusions
Very low to low quality evidence from a limited set of pilot studies seems to suggest beneficial effects of outdoor water sports for chronic disease populations. However, such preliminary findings need to be replicated through large, high-quality RCTs to be conducted in target populations. Avenues of development, scoping directions and translational perspectives for this specific research field are proposed and discussed.
Momentum: what do we know 30 years after Jegadeesh and Titman’s seminal paper?
Authors: Wiest Tobias 
Published: August 2022

AbstractFor over 30 years, extensive research has found corroborating evidence that past winners continue to yield higher returns than past losers. This momentum effect is robust across various asset classes and across the globe and presents perhaps the most pervasive contradiction of the efficient market hypothesis. This article reviews three strands of literature on momentum. First, I outline the construction of momentum strategies, emphasizing improvements and alternatives such as time-series momentum, residual momentum, and risk-managed momentum. Second, I summarize the most prominent behavioral-based and risk-based explanations for the origin of momentum. Finally, I present in detail the findings on commonality in stock momentum, namely on industry and factor momentum.
Single-Cell RNA Sequencing: Unravelling the Bone One Cell at a Time
Authors: Chai Ryan C. 
Published: August 2022

Abstract
Purpose of Review
Bone is a complex tissue populated by a highly heterogeneous mix of cell types in different compartments. The endosteal compartment is a key site for bone remodelling and provides a supportive microenvironment to harbour haematopoietic and mesenchymal stem cells, as well as cancer cells that grow in bone. The purpose of this review is to summarize recent findings of studies in bone using single-cell RNA sequencing and emergent spatial RNA sequencing to describe different bone-resident cell types and their molecular programs.

Recent Findings
Single-cell RNA sequencing identified novel and transcriptionally distinct cell clusters within different bone cell lineages, including MSCs, osteoblasts, chondrocytes, fibroblasts, osteoclasts and cells of the vasculature. Spatial transcriptomics methods provide information on the localization of the different cell populations.

Summary
Single-cell transcriptomics provided valuable insights into long-standing knowledge gaps in the cellular heterogeneity of bone-resident cells in unprecedented detail, paving the way for studies to further investigate the different cell populations and to develop cell-based therapies for bone diseases.
A Review of Molecular Interplay between Neurotrophins and miRNAs in Neuropsychological Disorders
Authors: Abdolahi Sara , Zare-Chahoki Ameneh , Noorbakhsh Farshid , Gorji Ali 
Published: August 2022

AbstractVarious neurotrophins (NTs), including nerve growth factor, brain-derived neurotrophic factor, neurotrophin-3, and neurotrophin-4, promote cellular differentiation, survival, and maintenance, as well as synaptic plasticity, in the peripheral and central nervous system. The function of microRNAs (miRNAs) and other small non-coding RNAs, as regulators of gene expression, is pivotal for the appropriate control of cell growth and differentiation. There are positive and negative loops between NTs and miRNAs, which exert modulatory effects on different signaling pathways. The interplay between NTs and miRNAs plays a crucial role in the regulation of several physiological and pathological brain procedures. Emerging evidence suggests the diagnostic and therapeutic roles of the interactions between NTs and miRNAs in several neuropsychological disorders, including epilepsy, multiple sclerosis, Alzheimer’s disease, Huntington’s disease, amyotrophic lateral sclerosis, schizophrenia, anxiety disorders, depression, post-traumatic stress disorder, bipolar disorder, and drug abuse. Here, we review current data regarding the regulatory interactions between NTs and miRNAs in neuropsychological disorders, for which novel diagnostic and/or therapeutic strategies are emerging. Targeting NTs-miRNAs interactions for diagnostic or therapeutic approaches needs to be validated by future clinical studies.
Neue Rechte, Rechtspopulismus und Soziale Arbeit
Authors: Thole Werner , Simon Stephanie , Wagner Leonie 
Published: August 2022

ZusammenfassungDie Einleitung in den Themenschwerpunkt „Neue Rechte, Rechtspopulismus und Soziale Arbeit“ skizziert aktuelle rechtspopulistische respektive neurechte Entwicklungen und stellt deren Bezugspunkte zur Sozialen Arbeit dar.
Performance management systems: Trade-off between implementation and strategy development
Authors: Lewandowski Roman A. , Cirella Giuseppe T. 
Published: August 2022

Abstract
The aim of this study is to understand how performance management systems (PMS) affect the strategy development process. The research examines PMS implementation and evaluates how the implementation of PMS links measures with rewards, i.e., financial and non-financial, to influence strategy formation. This qualitative study is based on 74 semi-structured face-to-face in-depth interviews with board members, mid-level managers, and other employees in nine organizations. Theory-building is comprised of the transcribed and analyzed interviews using MAXQDA 12 software. Theory-testing, i.e., a verificatory stage, consisted of analyzing previously identified phenomena. Results suggest that PMS affects strategy development processes by influencing both employee relational and calculative trust in their superiors. It also indicates a direct behavioral effect on employee knowledge sharing and manager trust in their subordinates. As a result, this may determine the extent to which managers exploit shared knowledge while formulating a strategy. The research demonstrates there is a trade-off between PMS implementation and strategy development. A gap in the literature is filled by integrating relational and calculative trust with PMS implementation and showing how such changes in trust mediate knowledge sharing behavior and strategy development.
Change in the graphics of journal articles in the life sciences field: analysis of figures and tables in the journal “Cell”
Authors: Ariga Kana , Tashiro Manabu 
Published: August 2022

AbstractThe purpose of this study is to examine how trends in the use of images in modern life science journals have changed since the spread of computer-based visual and imaging technology. To this end, a new classification system was constructed to analyze how the graphics of a scientific journal have changed over the years. The focus was on one international peer-reviewed journal in life sciences,Cell, which was founded in 1974, whereby 1725 figures and 160 tables from the research articles inCellwere sampled. The unit of classification was defined as a graphic and the figures and tables were divided into 5952 graphics. These graphics were further classified into hierarchical categories, and the data in each category were aggregated every five years. The following categories were observed: (1) data graphics, (2) explanation graphics, and (3) hybrid graphics. Data graphics increased by more than sixfold between 1974 and 2014, and some types of data graphics including mechanical reproduction images and bar charts displayed notable changes. The representation of explanatory graphics changed from hand-painted illustrations to diagrams of Bezier-curves. It is suggested that in addition to the development of experimental technologies such as fluorescent microscopy and big data analysis, continuously evolving application software for image creation and researchers’ motivation to convince reviewers and editors have influenced these changes.
Information access equality on generative models of complex networks
Authors: Wang Xindi , Varol Onur , Eliassi-Rad Tina 
Published: August 2022

AbstractIt is well known that networks generated by common mechanisms such as preferential attachment and homophily can disadvantage the minority group by limiting their ability to establish links with the majority group. This has the effect of limiting minority nodes’ access to information. We present the results of an empirical study on the equality of information access in network models with different growth mechanisms and spreading processes. For growth mechanisms, we focus on the majority/minority dichotomy, homophily, preferential attachment, and diversity. For spreading processes, we investigate simple versus complex contagions, different transmission rates within and between groups, and various seeding conditions. We observe two phenomena. First, information access equality is a complex interplay between network structures and the spreading processes. Second, there is a trade-off between equality and efficiency of information access under certain circumstances (e.g., when inter-group edges are low and information transmits asymmetrically). Our findings can be used to make recommendations for mechanistic design of social networks with information access equality.
Path Forward to Optimise Post-approval Change Management and Facilitate Continuous Supply of Medicines and Vaccines of High Quality Worldwide
Authors: Deavin Andrew , Adam Sarah , Ausborn Susanne , Nielsen Ane Sofie Böhm , Cappellini Sonia , Colmagne-Poulard Isabelle , Gastineau Thierry , Gonzalez-Martinez Arturo , Meillerais Sylvie , Mortazavi Charlie 
Published: August 2022

AbstractPost-approval changes (PACs) to the registered information of authorised medicinal products are introduced routinely worldwide to enhance the robustness and efficiency of the manufacturing process, ensure timely supply in case of increased demand, improve quality control techniques, respond to changes in regulatory requirements and upgrade to state-of-the-art facilities. These are critical to prevent supply disruption and continuously improve existing medicines and vaccines. Due to the complexity of current PAC systems across markets, a change can take 3 to 5 years to approval globally (Hoath et al in BioProcess Int, 2016) thus hindering innovation and increasing the risk of shortages. The key messages are as follows: 1. Industry believes that global regulatory convergence of post-approval changes to Marketing Authorisations (MAs) using science- and risk-based approaches will enable a more efficient management of quality and supply improvements and will facilitate patients’ access to innovative medicines and vaccines of the highest quality. 2. National Regulatory Authorities (NRAs) should establish national or regional guidelines in line with international standards (regarding a risk-based classification of changes and standardisation of requirements) (Guidelines on procedures and data requirements for changes to approved biotherapeutic products, in WHO Technical Report Series, 2018, Guidelines on procedures and data requirements for changes to approved vaccines, in WHO Technical Report Series, 2015), have clear procedural guidance including timelines and implement reliance pathways to accelerate the approval of changes. This paper briefly outlines the challenges for PACs and provides solutions for a more flexible and aligned global system.
Depression and anxiety among chronic anal fissure patients
Authors: El Muhtaseb M. S. , Salameh Mohammad , Al-Mikhi Bana , Alfattah Amer Abed , Hamsho Firas , Braizat Zain , Alsheikh Farah , Khouri Diala , Haimour Shahed , Addasi Rami , Alsaadi Tabarak , Al-husban Naser , Alkayed Zaid , Banimustafa Radwan 
Published: August 2022

ABSTRACT

Introduction:
/Aims: Anal fissures are common disorders characterized by extreme pain, difficult defecation, and altered quality of life. The etiology of such condition is not entirely elucidated as it is implicated that stress could be an etiologic factor of anal fissures. Therefore, this study aims to evaluate the mental health of patients with chronic anal fissures in an effort to demonstrate the link between psychiatric disorders and anal fissures.

Method:
ology: All patients clinically diagnosed with chronic anal fissures attending the surgery clinics were recruited prospectively into this study over a 4-month period (from October 2020 to February 2021). During the clinic visit, patients were examined for chronic anal fissures as well as evaluated for depression, anxiety, and sleep disturbances using the PHQ-9, GAD-7, and PSQI scores pre and post the 3-months treatment period.

Results:
This study included a total of 51 patients clinically diagnosed with chronic anal fissures. The sample has an average age of41.8 ± 14.5 years and an average time of 7.1 ± 22.1 months since the start of their symptoms. The most frequent symptoms across the sample included pain while defecating (92.2%), severe constipation (52.9%), and bloody stool (45.1%).During follow up after 3 months treatment, our analysis showed that the means of PHQ9, GAD7, and PSQI scores were significantly lower than at diagnosis (pre-treatment) (All, p < 0.01).
Moreover, pain intensity, distress, and interference means were all significantly lower than their values prior to treatment (All, p < 0.01).

Conclusion:
We concluded that the quality of life for patients with chronic anal fissures is impacted by pain, psychiatric disorders and sleep disturbances. Therapy should be attainable, cheap, effective and focused on enhancing sleep alterations, in addition to targeting psychiatric symptoms.

Highlights
From Radio Guarachita toEl Tieto eShow: Bachata’s Imagined Communities
Authors: Sellers Julie A. 
Published: August 2022

AbstractBachata has used mass media throughout its history to foster a sense of inclusion and community among fans, from Radio Guarachita in the 1960s to livestreaming on social media in the twenty-first century. This article considers how the Dominican Facebook Live program,El Tieto eShow, continues bachata’s intimate relationship with mass media through the creation and development of a virtual imagined community of bachata enthusiasts around the globe. The article explores how the cultural roots of the imagined community—the decline of sacred languages and societal high centers and the acceptance of calendrical over sacred time—contribute to this sense of group amongEl Tieto eShow’s worldwide audience. It also considers the importance of this type of virtual fan community in propagating a sense of proximity to each other and musicians.
Globalizing ‘science and religion’: examples from the late Ottoman Empire
Authors: Yalçınkaya M. Alper 
Published: August 2022

AbstractThis article brings together insights from efforts to develop a global history of science and recent historical and sociological studies on the relations between science and religion. Using the case of the late Ottoman Empire as an example, it argues that ‘science and religion’ can be seen as a debate that travelled globally in the nineteenth century, generating new conceptualizations of both science and religion in many parts of the world. In their efforts to counter arguments that represented Islam as the enemy of science and progress, young Ottoman intellectuals wrote many texts addressing a specific European author, or an imagined, broad European audience in the mid- to late nineteenth century. These texts described a ‘science-friendly’ Islam of which not only Europeans but also ‘ignorant Muslims’ were unaware. Using examples from the Ottoman press, the article demonstrates how this effort involved separating Islam from the lived reality of Muslims, transforming the religion essentially into a text that referred to scientific facts or that instructed adherents to appreciate science. In their contributions to the debate on science and religion, these young intellectuals thus also defined themselves as the legitimate interpreters of Islam in the ‘age of science’.
Data-enabled sketch search and retrieval for visual design stimuli generation
Authors: Zhang Zijian , Jin Yan 
Published: August 2022

Abstract
Access to vast datasets of visual and textual materials has become significantly easier. How to take advantage of the conveniently available data to support creative design activities remains a challenge. In the phase of idea generation, the visual analogy is considered an effective strategy to stimulate designers to create innovative ideas. Designers can read useful information off vague and incomplete conceptual visual representations, or stimuli, to reach potential visual analogies. In this paper, a computational framework is proposed to search and retrieve visual stimulation cues, which is expected to have the potential to help designers generate more creative ideas by avoiding visual fixation. The research problems include identifying and detecting visual similarities between visual representations from various categories and quantitatifying the visual similarity measures serving as a distance metric for visual stimuli search and retrieval. A deep neural network model is developed to learn a latent space that can discover visual relationships between multiple categories of sketches. In addition, a top cluster detection-based method is proposed to quantify visual similarity based on the overlapped magnitude in the latent space and then effectively rank categories. The QuickDraw sketch dataset is applied as a backend for evaluating the functionality of our proposed framework. Beyond visual stimuli retrieval, this research opens up new opportunities for utilizing extensively available visual data as creative materials to benefit design-by-analogy.