bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data-driven strategies in operation management: mining user-generated content in Twitter
Authors: Saura Jose Ramon , Ribeiro-Soriano Domingo , Palacios-Marqués Daniel 
Published: June 2022

AbstractIn recent years, the business ecosystem has focused on understanding new ways of automating, collecting, and analyzing data in order to improve products and business models. These actions allow operations management to improve prediction, value creation, optimization, and automatization. In this study, we develop a novel methodology based on data-mining techniques and apply it to identify insights regarding the characteristics of new business models in operations management. The data analyzed in the present study are user-generated content from Twitter. The results are validated using the methods based on Computer-Aided Text Analysis. Specifically, a sentimental analysis with TextBlob on which experiments are performed using vector classifier, multinomial naïve Bayes, logistic regression, and random forest classifier is used. Then, a Latent Dirichlet Allocation is applied to separate the sample into topics based on sentiments to calculate keyness and p-value. Finally, these results are analyzed with a textual analysis developed in Python. Based on the results, we identify 8 topics, of which 5 are positive (Automation, Data, Forecasting, Mobile accessibility and Employee experiences), 1 topic is negative (Intelligence Security), and 2 topics are neutral (Operational CRM, Digital teams). The paper concludes with a discussion of the main characteristics of the business models in the OM sector that use DDI. In addition, we formulate 26 research questions to be explored in future studies.
Understanding the career interests of Information Technology (IT) students: a focus on choice of major and career aspirations
Authors: McKenzie Sophie , Bennett Dawn 
Published: June 2022

AbstractDespite continuous growth in the number of positions in Australia’s Information Technology (IT) industry since 2015, only half of Australia’s IT graduates go on to work in IT positions. A much-debated challenge for graduates is that the transition to work is complex and often demands several attempts. Less discussed is why school students choose to study IT at university and whether these motivational factors inform their career choice. The motivation to study at university has many potential influences including social factors, prior experience, self-perceptions, intrinsic or personal utility values, or simply the prospect of a good salary. Students’ choice of university major has similar influences; however, many learners select their major and enter university without having thought about possible career pathways. As such, without appropriate support during their time at university, students may not translate interest and motivation into career identity or commitment, and they may not develop realistic career goals or job-seeking strategies. To understand the antecedents to career interest, this study investigated the choice of major and career aspirations of undergraduate IT students at an Australian university. The two-year study engaged students in two phases of data collection. First, students completed an online self-assessment of study and career confidence, answering two open questions on why they chose to study IT and how long they intended to work in the discipline. Students then responded to a short online survey about their short- and longer-term career aspirations and prior experience. The results show that the motivation to study IT is based largely on intrinsic interest and enjoyment of IT rather than on external factors such as salary or job security. Most students reported broad career aspirations related to IT; however, students were unable to articulate what these careers might entail and they were unsure about the amount of time they would spend in the IT profession. The study concluded that understanding IT students’ motivation for study could inform career development learning activities through which students transform their interest into career choice and pre-professional identity.
No Pills, but Letters. Saul Bellow’s Herzog: The Recovery of a Depressed Academic
Authors: Vanheste Jeroen 
Published: June 2022

AbstractIn this article, I discuss the illness and recovery of the depressed Moses Herzog, the protagonist of Saul Bellow’s novel Herzog (1964). Using this novel as a case study, I criticize a one-sided (neuro)biological and drug-based approach to depression. Referring to the hermeneutic anthropology of philosophers like Paul Ricoeur and Marya Schechtman, I argue that the treatment of depression could benefit from a broader approach that takes into account existential and social-cultural factors as well as biological factors. I suggest that narrative psychiatry offers a framework wherein various models of mental illness may be combined in ways that move beyond a pro/contra bio-psychiatry binary. By investigating depression using philosophical ideas and a literary text, this article aims to illustrate how the humanities may contribute to our thinking about depression.
Ethico-Political aspects of clinical judgment in opportunistic screening for cognitive impairment: Arendtian and aristotelian perspectives
Authors: Gunnarson Martin , Zeiler Kristin 
Published: June 2022

AbstractThis article examines a population-based opportunistic screening practice for cognitive impairment that takes place at a hospital in Sweden. At the hospital, there is a routine in place that stipulates that all patients over the age of 65 who are admitted to the ward will be offered testing for cognitive impairment, unless they have been tested within the last six months or have been diagnosed with any form of cognitive impairment. However, our analysis shows that this routine is not universally and mechanically applied. Rather, the health care professionals have developed and use an ethico-political judgment, concerning, for example,whomto test,whento offer the tests, andhowto explain and perform them. This article explores the role and practice of this form of judgment, emphasising its political and ethical nature. The analysis is based on qualitative interviews with professionals and patients, and draws on the theories of Aristotle and Hannah Arendt.
A coarse-to-fine temporal action detection method combining light and heavy networks
Authors: Zhao Fan , Wang Wen , Wu Yu , Wang Kaixuan , Kang Xiaobing 
Published: June 2022

AbstractTemporal action detection aims to judge whether there existing a certain number of action instances in a long untrimmed videos and to locate the start and end time of each action. Even though the existing action detection methods have shown promising results in recent years with the widespread application of Convolutional Neural Network (CNN), it is still a challenging problem to accurately locate each action segment while ensuring real-time performance. In order to achieve a good tradeoff between detection efficiency and accuracy, we present a coarse-to-fine hierarchical temporal action detection method by using multi-scale sliding window mechanism. Since the complexity of the convolution operator is proportional to the number and the size of the input video clips, the idea of our proposed method is to first determine candidate action proposals and then perform the detection task on these candidate action proposals only with a view to reducing the overall complexity of the detection method. By making full use of the spatio-temporal information of video clips, a lightweight 3D-CNN classifier is first used to quickly determine whether the video clip is a candidate action proposal, avoiding the re-detection of a large number of non-action video clips by the heavyweight deep network. A heavyweight detector is designed to further improve the accuracy of action positioning by considering both boundary regression loss and category loss in the target loss function. In addition, the Non-Maximum Suppression (NMS) is performed to eliminate redundant detection results among the overlapping proposals. The mean Average Precision (mAP) is 40.6%, 51.7% and 20.4% on THUMOS14, ActivityNet and MPII Cooking dataset when the Intersection-over-Union (tIoU) threshold is set to 0.5, respectively. Experimental results show the superior performance of the proposed method on three challenging temporal activity detection datasets while achieving real-time speed. At the same time, our method can generate proposals for unseen action classes with high recalls.
Effectiveness of Non-Pharmacological Interventions for Agitation during Post-Traumatic Amnesia following Traumatic Brain Injury: A Systematic Review
Authors: Carrier Sarah L. , Ponsford Jennie , Phyland Ruby K. , Hicks Amelia J. , McKay Adam 
Published: June 2022

AbstractAgitation is common in the early recovery period following traumatic brain injury (TBI), known as post-traumatic amnesia (PTA). Non-pharmacological interventions are frequently used to manage agitation, yet their efficacy is largely unknown. This systematic review aims to synthesize current evidence on the effectiveness of non-pharmacological interventions for agitation during PTA in adults with TBI. Key databases searched included MEDLINE Ovid SP interface, PubMed, CINAHL, Excerpta Medica Database, PsycINFO and CENTRAL, with additional online reviewing of key journals and clinical trial registries to identify published or unpublished studies up to May 2020. Eligible studies included participants aged 16 years and older, showing agitated behaviours during PTA. Any non-pharmacological interventions for reducing agitation were considered, with any comparator accepted. Eligible studies were critically appraised for methodological quality using Joanna Briggs Institute Critical Appraisal Instruments and findings were reported in narrative form. Twelve studies were included in the review: two randomized cross-over trials, three quasi-experimental studies, four cases series and three case reports. Non-pharmacological interventions were music therapy, behavioural strategies and environmental modifications, physical restraints and electroconvulsive therapy. Key methodological concerns included absence of a control group, a lack of formalised agitation measurement and inconsistent concomitant use of pharmacology. Interventions involving music therapy had the highest level of evidence, although study quality was generally low to moderate. Further research is needed to evaluate non-pharmacological interventions for reducing agitation during PTA after TBI.Systematic review registration number: PROSPERO (CRD42020186802), registered May 2020.
Who pushes the discussion on wind energy? An analysis of self-reposting behaviour on Twitter
Authors: Mastroeni Loretta , Naldi Maurizio , Vellucci Pierluigi 
Published: June 2022

AbstractDiscussions about wind energy and its environmental impact take place routinely over Twitter. Twitterers with a strong interest in the matter may also retweet their own tweets (aka self-reposting) as a means to increase their visibility and push their message across. Identifying the features that make self-reposted tweets different from tweets that are not retweeted (either by their originators or by other twitterers) is crucial to understand what drives self-reposting. In this paper, we examine several characteristics of self-reposted tweets, concerning when they occur, how frequently, their length, and the number of hashtags, hyperlinks, and exclamation points they contain. We conduct our analysis on a dataset comprising tweets about wind energy. We find out that: (a) twitterers repost their own tweets primarily on weekends (especially on Sundays) and in the afternoon; (b) self-reposted tweets tend to be longer and contain more hashtags; (c) self-reposting typically occurs when retweets by other twitterers become less frequent, probably driven by the need to refresh the message. Finally, we also observe that self-reposting is resorted to mostly by individual twitterers rather than companies.
Multivariate Analysis of Beliefs in Pseudoscience and Superstitions Among Pre-service Teachers in Spain
Authors: Fernández-Carro Remo , Vílchez José Eduardo , Vílchez-González José Miguel , Ezquerra Ángel 
Published: June 2022

AbstractDo pre-service teachers have the same beliefs in superstitions and pseudoscience as the members of their generation? We expect so, because they are slightly different in at least two of the variables that explain differences, namely family income and level of studies, and also, normatively, because beliefs among teaching staff appear to be a key matter in the scientific literacy of citizens. In this work, we compare data from the general public of the same age to our sample of 578 pre-service teachers from five Spanish universities, using the same questionnaire. Multivariate regression analysis is then used to study the factors that affect defence of such beliefs and the differences between pre-service teachers and their age group. We have found that, on the contrary to what was expected, beliefs among pre-service teachers are not far from those of their age group in the population at large. Within that relatively homogenous group, a favourable attitude toward pseudoscience and superstition mainly depends on their educational level and basic knowledge of science, but that knowledge probably depends on their spontaneous interest in scientific matters and a prior favourable attitude. These results have implications in training scientific teachers and in the scientific literacy of the population. Thus, we must consider such non-scientific beliefs when designing classroom proposals and when communicating scientific content in social contexts.
Civic Participation as a Promoter of Well-Being: Comparative Analysis among European Countries
Authors: Vega-Tinoco Andrea , Gil-Lacruz Ana Isabel , Gil-Lacruz Marta 
Published: June 2022

AbstractPrevious research on the direction of the relationship between civic participation and well-being has evidenced that civic participation is a promoter of well-being among older adults in Europe. Accordingly, the objective of the present study is to identify and analyze the differences between European welfare systems regarding both civic participation and well-being. For this purpose, a logistic multilevel regression analysis was performed as an empirical strategy, using the cross-sectional data from the 9 waves of the European Social Survey (2002–2018). Significant differences in well-being were observed, with Anglo-Saxon elders being the healthiest, and the Nordic the happiest and most satisfied with their lives. In contrast, Eastern European seniors reported the lowest levels of well-being. Also, Nordic countries are the most civically engaged, followed by the Continental and Anglo-Saxon, while Mediterranean and Eastern countries engage the least. However, the impact of civic participation on well-being is strongest for the Mediterranean countries, while its impact on satisfaction and happiness is weakest for the Nordic countries. The 3 models of the multilevel analysis indicate that civic participation has a positive impact on health, happiness and life satisfaction, and that this effect is quite robust. Also, by adding country-level macro variables to the model, it is possible to reduce the random effects and hence to better explain these international differences. Concisely, the impact of civic participation on the well-being of the elderly differs across nations and should therefore be considered by policy makers.
Assistive technology for the inclusion of students with disabilities: a systematic review
Authors: Fernández-Batanero José María , Montenegro-Rueda Marta , Fernández-Cerero José , García-Martínez Inmaculada 
Published: June 2022

AbstractThe commitment to increase the inclusion of students with disabilities has ensured that the concept of Assistive Technology (AT) has become increasingly widespread in education. The main objective of this paper focuses on conducting a systematic review of studies regarding the impact of Assistive Technology for the inclusion of students with disabilities. In order to achieve the above, a review of relevant empirical studies published between 2009 and 2020 in four databases (Web of Science (WoS), Scopus, ERIC and PsycINFO) was carried out. The sample consists of 31 articles that met the inclusion criteria of this review, out of a total of 216 identified. Findings of this study include that the use of Assistive Technologies is successful in increasing the inclusion and accessibility of students with disabilities, although barriers such as teacher education, lack of information or accessibility are found.
Realistic C-arm to pCT registration for vertebral localization in spine surgery
Authors: Naik Roshan Ramakrishna , Anitha H  , Bhat Shyamasunder N , Ampar Nishanth , Kundangar Raghuraj 
Published: June 2022

Abstract
Spine surgeries are vulnerable to wrong-level surgeries and postoperative complications because of their complex structure. Unavailability of the 3D intraoperative imaging device, low-contrast intraoperative X-ray images, variable clinical and patient conditions, manual analyses, lack of skilled technicians, and human errors increase the chances of wrong-site or wrong-level surgeries. State of the art work refers 3D-2D image registration systems and other medical image processing techniques to address the complications associated with spine surgeries. Intensity-based 3D-2D image registration systems had been widely practiced across various clinical applications. However, these frameworks are limited to specific clinical conditions such as anatomy, dimension of image correspondence, and imaging modalities. Moreover, there are certain prerequisites for these frameworks to function in clinical application, such as dataset requirement, speed of computation, requirement of high-end system configuration, limited capture range, and multiple local maxima. A simple and effective registration framework was designed with a study objective of vertebral level identification and its pose estimation from intraoperative fluoroscopic images by combining intensity-based and iterative control point (ICP)–based 3D-2D registration. A hierarchical multi-stage registration framework was designed that comprises coarse and finer registration. The coarse registration was performed in two stages, i.e., intensity similarity-based spatial localization and source-to-detector localization based on the intervertebral distance correspondence between vertebral centroids in projected and intraoperative X-ray images. Finally, to speed up target localization in the intraoperative application, based on 3D-2D vertebral centroid correspondence, a rigid ICP-based finer registration was performed. The mean projection distance error (mPDE) measurement and visual similarity between projection image at finer registration point and intraoperative X-ray image and surgeons’ feedback were held accountable for the quality assurance of the designed registration framework. The average mPDE after peak signal to noise ratio (PSNR)–based coarse registration was 20.41mm. After the coarse registration in spatial region and source to detector direction, the average mPDE reduced to 12.18mm. On finer ICP-based registration, the mean mPDE was finally reduced to 0.36 mm. The approximate mean time required for the coarse registration, finer registration, and DRR image generation at the final registration point were 10 s, 15 s, and 1.5 min, respectively. The designed registration framework can act as a supporting tool for vertebral level localization and its pose estimation in an intraoperative environment. The framework was designed with the future perspective of intraoperative target localization and its pose estimation irrespective of the target anatomy.

Graphical abstract
Pharmacologic and Acute Management of Spinal Cord Injury in Adults and Children
Authors: Thomas Ajay X. , Riviello James J. , Davila-Williams Daniel , Thomas Sruthi P. , Erklauer Jennifer C. , Bauer David F. , Cokley Jon A. 
Published: June 2022

AbstractPurpose of ReviewThis review provides guidance for acute spinal cord injury (SCI) management through an analytical assessment of the most recent evidence on therapies available for treating SCI, including newer therapies under investigation. We present an approach to the SCI patient starting at presentation to acute rehabilitation and prognostication, with additional emphasis on the pediatric population when evidence is available.Recent FindingsFurther studies since the Surgical Timing in Acute Spinal Cord Injury Study (STASCIS) demonstrated a potential functional outcome benefit with ultra-early surgical intervention ≤ 8 h post-SCI. Subsequent analysis of the National Acute Spinal Cord Injury Study (NASCIS) II and NASCIS III trials have demonstrated potentially serious complications from intravenous methylprednisolone with limited benefit. Newer therapies actively being studied have demonstrated limited or no benefit in preclinical and clinical trials with insufficient evidence to support use in acute SCI treatment.SummaryCare for SCI patients requires a multi-disciplinary team. Immediate evaluation and management are focused on preventing additional injury and restoring perfusion to the affected cord. Rapid assessment and intervention involve focused neurological examination, targeted imaging, and surgical intervention when indicated. There are currently no evidence-based recommendations for pathomechanistically targeted therapies.
Leadership practices contributing to STEM education success at three rural Australian schools
Authors: Murphy Steve 
Published: June 2022

AbstractThe limited research into leading STEM education in rural schools internationally tends to adopt a deficit view, with a focus on the poor achievement and aspirations of rural students, difficulties recruiting and retaining STEM teachers, and issues of isolation and under-resourcing. Counter to this trend, this paper reports on research investigating leadership practices shaping STEM education at three high STEM-performing rural schools. High-performing rural schools in Victoria, Australia were identified through analysis of state-wide final year enrolment and achievement data in STEM related senior subjects. Three rural schools with relatively high STEM subject enrolments and achievement levels were selected for in-depth study. The theory of Practice Architectures guided thematic analysis of interviews with principals, middle leaders, and teachers, facilitating a description of the ways that leadership practices interacted with the Practice Architectures evident at each school, which, in turn, enabled and constrained practices that contributed to each school’s STEM education success. Five leadership practices were identified as contributing to STEM education success at all three schools: leveraging community relationships, utilising local resources to enrich STEM learning, empowering STEM teaching staff, promoting the value of STEM education, and supporting STEM pathways. In detailing these leadership practices, this paper provides guidance to rural education leaders and policy makers seeking to improve STEM education in rural schools.