bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news
Authors: Moreno-Pérez Carlos , Minozzo Marco 
Published: June 2024

AbstractThis paper investigates the reactions of US financial markets to press news from January 2019 to 1 May 2020. To this end, we deduce the content and uncertainty of the news by developing apposite indices from the headlines and snippets of The New York Times, using unsupervised machine learning techniques. In particular, we use Latent Dirichlet Allocation to infer the content (topics) of the articles, and Word Embedding (implemented with the Skip-gram model) and K-Means to measure their uncertainty. In this way, we arrive at the definition of a set of daily topic-specific uncertainty indices. These indices are then used to find explanations for the behavior of the US financial markets by implementing a batch of EGARCH models. In substance, we find that two topic-specific uncertainty indices, one related to COVID-19 news and the other to trade war news, explain the bulk of the movements in the financial markets from the beginning of 2019 to end-April 2020. Moreover, we find that the topic-specific uncertainty index related to the economy and the Federal Reserve is positively related to the financial markets, meaning that our index is able to capture the actions of the Federal Reserve during periods of uncertainty.
Exploring practice and perspectives on shared decision-making about osteoporosis medicines in Fracture Liaison Services: the iFraP development qualitative study
Authors: Bullock Laurna , Manning Fay , Hawarden Ashley , Fleming Jane , Leyland Sarah , Clark Emma M. , Thomas Simon , Gidlow Christopher , Iglesias-Urrutia Cynthia P. , Protheroe Joanne , Lefroy Janet , Ryan Sarah , O’Neill Terence W. , Mallen Christian , Jinks Clare , Paskins Zoe 
Published: June 2024

Abstract
Summary
Interviews and focus groups with patients, FLS clinicians, and GPs identified challenges relating to clinical and shared decision-making about bone health and osteoporosis medicines. Findings will inform the development of the multicomponent iFraP intervention to address identified training needs and barriers to implementation to facilitate SDM about osteoporosis medicines.

Purpose
The iFraP (improving uptake of Fracture Prevention treatments) study aimed to develop a multicomponent intervention, including an osteoporosis decision support tool (DST), to support shared decision-making (SDM) about osteoporosis medicines. To inform iFraP intervention development, this qualitative study explored current practice in relation to communication about bone health and osteoporosis medicines, anticipated barriers to, and facilitators of, an osteoporosis DST, and perceived training needs.

Methods
Patients attending an FLS consultation (n = 8), FLS clinicians (n = 9), and general practitioners (GPs; n = 7) were purposively sampled to participate in a focus group and/or telephone interview. Data were transcribed, inductively coded, and then mapped to the Theoretical Domains Framework (TDF) as a deductive framework to systematically identify possible barriers to, and facilitators of, implementing a DST.

Results
Inductive codes were deductively mapped to 12 TDF domains. FLS clinicians were perceived to have specialist expertise (knowledge). However, clinicians described aspects of clinical decision-making and risk communication as difficult (cognitive skills). Patients reflected on decisional uncertainty about medicines (decision processes). Discussions about current practice and the proposed DST indicated opportunities to facilitate SDM, if identified training needs are met. Potential individual and system-level barriers to implementation were identified, such as differences in FLS configuration and a move to remote consulting (environmental context and resources).

Conclusions
Understanding of current practice revealed unmet training needs, indicating that using a DST in isolation would be unlikely to produce a sustained shift to SDM. Findings will shape iFraP intervention development to address unmet needs.
Double left brachiocephalic vein in a paediatric patient with CHD: a case report
Authors: Jain Simran , Thakur Prashant , Ravindra M. S. , Sathe Yogesh , Pandey Ragini 
Published: June 2024

Abstract
Anomalous brachiocephalic vein (ABCV) is a rare entity of head and neck venous channel variations and malformations. Amongst the five subtypes of ABVC, double left brachiocephalic vein (DLBCV) is the rarest. We present the case of a 1-year-11-month-old syndromic child, who had global developmental delay (GDD) with Sprengel deformity and failure to thrive (suspected Klippel Feil phenotype), who presented to us for the cardiac evaluation. Her 2D echocardiography revealed unobstructed total anomalous supra-cardiac pulmonary venous connection. However, for the delineation of individual pulmonary venous course, CT-pulmonary angiography was advised. CTPA revealed supra-cardiac total anomalous pulmonary venous connection (TAPVC) with incidentally noted DLBCV. Importance of recognition of DLBCV enables us to prevent accidental venous injury during cardiac surgery and to avoid intraoperative technical issues during transvenous pacemaker insertion.
Extended water wave optimization (EWWO) technique: a proposed approach for task scheduling in IoMT and healthcare applications
Authors: Bapuram Bhasker , Subramanian Murali , Mahendran Anand , Ghafir Ibrahim , Ellappan Vijayan , Hamada Mohammed 
Published: June 2024

AbstractThe Internet of Medical Things (IoMT) is a version of the Internet of Things. It is getting the attention of researchers because it can be used in a wide range of smart healthcare systems. One of the main advancements employed recently is the IoMT-cloud, which allows users to access cloud services remotely over the internet. These cloud services require an efficient task scheduling approach that satisfies the Quality of Service parameters with a low energy consumption. This paper presents an overview of the integration of IoMT and cloud computing technologies. Besides,this work proposes an efficient Extended Water Wave Optimization (EWWO) task scheduling in the IoMT Cloud for healthcare applications. EWWO algorithm performs based on its operations propagation, refraction and breaking. The proposed EWWO scheduling technique minimizes the energy consumption, makespan time, execution time and increases the resource utilization. Cloudsim simulator is used to simulate the IoMT-Cloud environment to verify the effectiveness of EWWO technique. The performance has been evaluated based on various parameters such as energy consumption, makespan time and execution time.
Safety and Pleasure Motives Determine Perceived Risks and Rewards in Casual Sex
Authors: Rodrigues David L. , Carvalho A. Catarina , Balzarini Rhonda N. , de Visser Richard O. , Garrido Margarida V. , Prada Marília , Lopes Diniz 
Published: June 2024

AbstractPeople differ in their predispositions to value safety maintenance (i.e., disease prevention regulatory focus) or pleasure pursuit (i.e., pleasure promotion regulatory focus). Extending recent research, results of a cross-sectional study with participants living in Portugal and Spain (N = 770) showed that these individual differences resulted in a trade-off between potential health risks and pleasure rewards in sexual practices and experiences with casual partners. Specifically, people who were more focused on promotion (vs. prevention) reported riskier and more unrestricted sexual activities (more frequent condomless sex activities; more casual partners) and experienced more positive sexual outcomes (more sexual satisfaction; more positive and less negative affect related to condomless sex). This pattern of results remained the same after controlling for country differences, suggesting the robustness of our findings across different cultural contexts. Our study shows the complexity of sexual decisions and align with our reasoning that prevention-focused people tend to prioritize health safety, whereas promotion-focused people tend to prioritize sexual pleasure. Theoretical and applied implications are discussed.
Rethinking of Government Institutions and Governance Quality Indicators on Economic Growth in Sub-Saharan African Countries
Authors: Şit Ahmet , Radulescu Magdalena , Güneş Hakan , Simba Hamis Miraji Ally , Şit Mustafa , Karadağ Haydar 
Published: June 2024

Abstract
The study aims to investigate the effect of governance quality on economic growth and government consumption in Sub-Saharan African countries. Balanced dynamic panel data for 36 Sub-Saharan African countries from 2011 to 2022 were analyzed using GMM and Driscoll-Kraay regressions. In addition to the fact that there is no study in the literature that examines the effect of state governance indicators on economic growth in SSA countries, the addition of government consumption variable as a second dependent variable adds originality to the study. The empirical analysis revealed that government institutions have a positive effect and are significant in SSA countries’ economic growth. In addition, according to the Driscoll-Kraay regression, it is seen that governments’ development of institutions increases government consumptions. The governance indicators threshold that strengthens the government institution in Sub-Sahara Africa must be reached to increase the economic growth of Sub-Sahara Africa. For economic growth, effective government institutions and governance quality policies should be practiced and maintained among the Sub-Saharan African countries.

Graphical Abstract
The role of body composition and appetite-regulating hormones in idiopathic central precocious puberty and their changes during GnRH analog therapy
Authors: Tarçin G. , Bayramoğlu E. , Güneş Kaya D. , Karakaş H. , Demirbaş K. C. , Turan H. , Evliyaoğlu O. 
Published: June 2024

Abstract

Purpose
It was aimed to compare circulating levels of ghrelin, leptin, peptide YY (PYY), and neuropeptide (NPY) between girls with idiopathic central precocious puberty (ICPP) and prepubertal girls, as well as to evaluate alterations in these hormone levels and body composition during leuprolide acetate treatment in girls with ICPP.

Methods
This prospective study was conducted on girls with isolated premature thelarche (IPT), girls with ICPP, and age-matched prepubertal controls. Anthropometric measurements, body composition analysis and appetite-regulating hormone level measurements were performed in each group and also at the 6th and 12th months of the leuprolide acetate treatment for the girls with ICPP.

Results
Seventy-three girls participated in the study (24 girls with ICPP, 28 with IPT, and 21 prepubertal controls). No significant differences were observed in ghrelin, leptin, PYY, and NPY levels among the three groups. Leuprolide acetate treatment resulted in increased leptin, decreased PYY and NPY levels, and no significant changes in ghrelin. Despite no significant change in body mass index standard deviation score (BMI SDS), body fat percentage increased during treatment.

Conclusion
While appetite-regulating hormones do not seem to directly contribute to precocious puberty pathogenesis, puberty blockade was shown to lead to altered levels of these hormones along with changes in body composition.
Nested attention network based on category contexts learning for semantic segmentation
Authors: Li Tianping , Liu Meilin , Wei Dongmei 
Published: June 2024

AbstractThe attention mechanism is widely used in the field of semantic segmentation, due to the fact that it can be used to obtain effective long-distance dependencies by assigning different weights to objects according to different tasks. We propose a novel Nested Attention Network (NANet) for semantic segmentation, which combines Feature Category Attention (FCA) and Channel Relationship Attention (CRA) to effectively aggregate same-category contexts in both spatial and channel dimensions. Specifically, FCA captures the dependencies between spatial pixel features and categories to achieve the aggregation of features of the same category. CRA further captures the channel relationships on the output of FCA to obtain richer contexts. Numerous experiments have shown that NANet has a lower number of parameters and computational complexity than other state-of-the-art methods, and is a lightweight model with a lower total number of floating-point operations. We evaluated the performance of NANet on three datasets: Cityscapes, PASCAL VOC 2012, and ADE20K, and the experimental results show that NANet obtains promising results, reaching a performance of 82.6% on the Cityscapes test set.
An Anatomy of Human Dignity; Dissecting the Heart of Humanistic Management
Authors: Huijser Danaë , Nullens Patrick 
Published: June 2024

AbstractHuman dignity is introduced in the humanistic management school to distinguish humanistic from economistic perspectives on organizational business practices. Placing human dignity at the core of management leads to a different outlook on doing business, organizing and leading. Within the humanistic management literature, there are several distinct paths to ground human dignity in humanistic management. One school views human dignity as a form of motivation, another focuses on its value-laden components, and still others view human dignity as a form of human development. We introduce relational anthropology as a fourth possibility, emphasizing relationality in the notion of human dignity, with love at its core as the essence of human experience. However, as the experience of human dignity is universally human, culturally specific and extremely personal, interpretations of experienced dignity could be very different for different people. We continue to discuss a cosmopolitan view on human dignity, in which we reject both naïve universalism and lazy relativism, pointing to the challenge of leading moral plurality. We close by summarizing the different approaches to human dignity in a conciliatory framework and outline why we believe an explicit emphasis on qualitative, phenomenological research is the best way forward, bringing love to the stage as the potentially unifying principle for humanistic management.
Is geriatric medicine teaching homogeneous? The analysis of geriatric medicine courses at Polish undergraduate medical programmes
Authors: Kupis Robert , Perera Ian , Targowski Tomasz , Gąsowski Jerzy , Piotrowicz Karolina 
Published: June 2024

Abstract
Purpose
We aimed to analyse the characteristics of geriatric courses offered to undergraduate medical students in higher educational institutions (HEIs) in Poland.

Methods
We searched the official websites of the HEIs offering the medical degree programmes and directly contacted the dean’s offices and HEIs representatives to retrieve the relevant information. The documents were analysed for course content, teaching methods, duration, and recommended texts. We also checked the obtained curricula for the reference to of the learning objectives related to geriatric medicine, selected from the currently endorsed Polish educational standards (ES) provided by the Ministry of Science and Higher Education.

Results
Geriatric medicine courses were obligatory at all included HEIs (n = 19), but the courses differed in structure and content. The courses varied in duration from 11 to 60 h and were primarily lecture based. Simulation was utilized at only one HEI and e-learning at two institutions. Out of 315 learning objectives, we acknowledged only 9 as geriatric. They were not always found in all curricula. Two HEIs included self-described learning objectives in their curricula. Across all HEIs, a total of 29 recommended texts (published between 1995 and 2021) were identified, including 2 English-language texts.

Conclusion
Geriatric medicine was a mandatory subject for medical students of the included HEIs. However, there was a lack of uniformity in the offered courses. This leaves room for the development of a unified undergraduate geriatrics curriculum to effectively address diverse geriatric issues across Europe. The importance of this matter is highlighted by demographic trends and workforce challenges.
Corporate power and global value chains: current approaches for conceptualizing the power of multinationals
Authors: Kapeller Jakob , Gräbner-Radkowitsch Claudius , Hornykewycz Anna 
Published: June 2024

AbstractThe influential position of multinational corporations in the global economy of the twenty-first century is a particularly controversial and timely subject. This paper aims to improve our understanding of this phenomenon by focusing on one particular aspect of it: corporate power. To this end, it first puts forth a number of conceptual clarifications that help to distinguish different kinds of power and the distinct analytical levels at which power is executed. It then focuses on corporate power and studies it against the backdrop of the development of global value chains. The aim of this analysis is twofold: firstly, to review the variety of analytical tools and ontological perspectives that coin current research on corporate power, and secondly, to discuss the causes and practical consequences of asymmetrical power constellations among corporations and between corporations and other actors. This discussion is meant to facilitate a better alignment of applied research on corporate power with pluralist approaches towards rethinking economics.
A forest companies typology regarding their contribution to circular economy: a sustainability reporting-based analysis
Authors: Panori Dimitra , Papaspyropoulos Konstantinos G. , Nikolaou Ioannis E. 
Published: June 2024

AbstractRelatively recently, the residuals of forest industry have been considered very important and useful to be reused through bioeconomy and circular economy practices in order to reduce the use of non-renewable natural resources. The majority of current studies have been based on interview protocols and questionnaire-based surveys to examine how managers of forest industry contribute to sustainable development and circular economy. Despite the usefulness of these surveys, there is a degree of subjectivity in the respondents' responses and an orientation to what forest companies propose to do in the circular economy. To overcome the weaknesses of previous research, this paper aims at drawing appropriate information from sustainability reporting of a sample of forest companies to provide a more unambiguous understanding of the way that forest companies meet the circular economy principles. Thus, a circular economy measurement framework is developed which is based on scoring systems and GRI guidelines to draw reliable and harmonized information from corporate sustainability reporting. Furthermore, it results in a four-type company typology according to the number of the circular economy principles and the number of items they achieve for each principle such as pioneer circular company, lagging circular company, innovative circular company and infant circular company. The suggested framework is tested on a sample of 20 forest companies with higher revenue in 2022. The findings show that half of the sampled companies can be considered as infants at the CE practices, while a positive statistical relationship is revealed between forest companies’ circular economy practices and their revenues.
Balanced Lattice Designs under Uncertain Environment
Authors: AlAita Abdulrahman , Aslam Muhammad 
Published: June 2024

AbstractBalanced lattice designs are vital in numerous fields, especially in experimental design, where controlling variability among experimental units is crucial. In practical experiments, various sources of uncertainty can lead to ambiguous, vague, and imprecise data, complicating the analysis process. To address these indeterminacies, a novel approach using neutrosophic analysis within a balanced lattice design framework is proposed, termed the neutrosophic balanced lattice design (NBLD). This innovative method employs neutrosophic statistics to derive mathematical neutrosophic sums of squares and construct a neutrosophic analysis of variance (NANOVA) table. The effectiveness of the proposed NBLD is demonstrated through a numerical example, showing that it outperforms traditional methods in handling uncertainty.
Student’s motivations behind not pursuing industrial/organizational psychology
Authors: Nehvi Ayesha Farooq , Shahnawaz Mohammad Ghazi 
Published: June 2024

AbstractIndustrial organizational psychology is one of the most dynamic areas of psychology yet it is usually not the first choice of graduate students when it comes to choosing a specialization. The present study is the first of its kind and aims to understand the perspective of the students behind this phenomenon. This qualitative study was done in two phases. The first phase generated initial themes based on a brainstorming session with graduate students of psychology (n = 15) at a Central University in India. The themes were analyzed and used to formulate a semi-structured interview, which formed the second phase, and in which students (n = 15) participated. Conventional content analysis was used to analyze the transcribed data following which key themes and subthemes were generated. Key themes of practicality, interest, and personality and motivation were found to be the key factors behind students not opting for industrial organizational psychology and choosing other fields like clinical psychology. The participants likely perceived a mismatch between them and the characteristics and demands of the I/O (Industrial/Organizational Psychology) in the organizations, which is seen in terms of P-E fit (person-environment fit), P-O fit (person-organisation fit), as well as P-J fit (person-job fit). Moreover, there is a subconscious need for self-presentation that motivates students to not opt for a field where they feel they might make mistakes or be criticized.