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Found 6525 publications
Modelling OCB and CWB by combined Fuzzy Signature model
Publication Name: Economic Research Ekonomska Istrazivanja
Publication Date: 2021-01-01
Volume: 34
Issue: 1
Page Range: 1546-1565
Description:
Globalization and its challenges for organizations led to the understanding that employees can be a critical factor contributing to the organization’s performance. Therefore, various studies sought to understand employee’s behaviour that in itself encompasses various forms of engagement. One of the constructs defining engagement is citizenship behaviour (OCB) and counterproductive work behaviour (CWB). Based on previous researches, the study aims to contribute to the knowledge on the correlation between OCB and CWB considered as a behavioural engagement, from one side, and interplay of these constructs with the related constructs such as a trait engagement, perception of organization, state engagement, from another side. Since the empirical studies typically tend to concentrate on one or several factors separately, it is difficult to get a better understanding of relationship of all forms of engagement in corpore. To address this gap, we create a complex model of investigation developed to describe the linkage of the factors - OCB, CWB and related constructs under one umbrella and, by employing a combined statistical and Fuzzy Signature (FSig) model, we investigated the link with behavioural engagement. The present study covered one region of the northern part of Lithuania. It is based on 144 completed questionnaires from 35 companies. Findings support the assumption of the relationships of behavioural engagement (i.e. OCB and CWB) and the remaining multifaceted factors, and make a step forward by offering a new model for investigation the multifaceted phenomenon of employee engagement.
Open Access: Yes
THE RISE OF AI IN TOURISM - A SYSTEMATIC LITERATURE REVIEW
Publication Name: Geojournal of Tourism and Geosites
Publication Date: 2025-01-01
Volume: 60
Issue: Unknown
Page Range: 1254-1265
Description:
Tourism ranks among the world's largest industries, and its sustained expansion has paralleled swift advancements in technology. Artificial Intelligence (AI) is increasingly recognized as a transformative force in tourism, offering human-like capabilities that enhance decision-making and service automation. Its application across the sector improves operational efficiency and personalizes customer experiences, thereby fostering innovation and competitiveness. However, the rapid integration of AI also presents conceptual, theoretical, and societal challenges that require critical examination. The research aims to synthesize the conceptual and theoretical research on AI in tourism from 2019 onwards. It examines key themes, theoretical perspectives, methodological rigor, and research gaps in the existing literature. Further goal is to identify thematic areas with a specific focus on AI applications. The study followed the PRISMA guidelines to conduct a systematic literature review (SLR). Academic databases, including Scopus and Web of Science, were searched to identify scientific-relevant peer-reviewed articles. From an initial pool of over 400 studies, we identified 45 significant journal articles and selected them for an in-depth analysis, that collectively illuminate how AI is reshaping tourism research and practice. Studies have drawn on innovation diffusion theory to explain adoption patterns, technology acceptance models to gauge user and employee attitudes, and service quality and co-creation theories to understand how AI can add value to the customer experience. It also highlighted the evolution of AI research in tourism, from conceptual discussions to empirical investigations. Gaps and challenges in the research were identified, including a limited focus on human-AI interaction, ethical concerns, and methodological rigor. The review concludes that AI has the potential to transform tourism by enhancing efficiency, personalization, and sustainability. The findings reveal that AI has been envisioned as a catalyst for transformation in the tourism industry, with applications ranging from intelligent forecasting and revenue management to service automation via robots and hyper-personalized travel experiences. AI-driven analytics can improve decision support for revenue management, capacity planning, and marketing strategy. However, realizing this potential requires addressing the improvement of technological competence of human resources, ethical issues, and implementation strategies.
Open Access: Yes
Soft Magnetic Composites Prepared by 3D Laser Printing
Publication Name: Acta Physica Polonica A
Publication Date: 2020-01-01
Volume: 137
Issue: 5
Page Range: 886-888
Description:
In this study, iron and inorganic insulator powders have been used for preparing soft magnetic metal-insulator type composites by 3D laser printing. These samples have been compared with those obtained by traditional pressing and sintering method. Considering the permeability spectra, an increase of the frequency limit has been found for the laser printed samples. In addition to the AC and DC magnetic parameters, the results of XRD and SEM investigations are also presented.
Open Access: Yes
Ultrasonographic assessment of the cervix for prediction of spontaneous preterm birth in singleton pregnancies
Publication Name: Donald School Journal of Ultrasound in Obstetrics and Gynecology
Publication Date: 2021-01-01
Volume: 15
Issue: 1
Page Range: 49-63
Description:
Spontaneous preterm birth remains a major cause of neonatal morbidity and mortality across the world. Hence, there is an urgent need to find and implement diagnostic methods and interventions that can reduce this public health treat. The ultrasonographic assessment of the cervix is one tool that can be utilized to identify women at increased risk who may be candidates for preventive interventions. There are three main characteristics of the cervix, which can be evaluated during the ultrasound examination of the cervix: cervical length (CL), funneling and cervical gland area. Cervical shortening is one of the first steps in the processes leading to labor and can precede labor by several weeks. Because shortening begins at the internal cervical os and progresses caudally, it is often detected on ultrasound examination before it can be appreciated on physical examination. This is equally true for funneling and cervical gland area (CGA), which cannot be assessed with the physical examination. Based on previous experiences, the timing and frequency of ultrasonographic assessment of the cervix is primarily based on the patient’s prior obstetric history (low-risk women are screened once at 18–24 weeks of gestation; high-risk population usually begins screening at about 16 weeks of gestation and the frequency depends on the measurement result). Classically the diagnosis of short cervix is defined when the CL is less than or equal to 25 mm at these gestational weeks, with the best prediction for PTB obtained at 16–24 weeks of gestation. The CL measurement, evaluation of funneling and CGA together increased the sensitivity of cervical screening for PTB and appeared to be powerful predictor of PTB before 32 weeks gestation. Generally, the importance of positive test is to try to recognize cervical changes on time, to plane the adequate therapy, to prepare for sufficient intrauterine transport, and to administered course of antenatal corticosteroid therapy to women at risk for PTB reduced the incidence and severity of respiratory distress syndrome (RDS) and mortality in offspring. Many interventions (bed rest, lifestyle intervention, cervical cerclage, pessary, progesteron, indomethacin, antibiotics, etc.) have been proposed in an attempt to prevent PTB depending on risk classification.
Open Access: Yes
A Risk Assessment Technique for Energy-Efficient Drones to Support Pilots and Ensure Safe Flying
Publication Name: Infrastructures
Publication Date: 2023-04-01
Volume: 8
Issue: 4
Page Range: Unknown
Description:
Unmanned Aerial Vehicles, also known as UAVs, play an increasingly important part in daily life. However, the ever-increasing number of UAVs pose an ever-increasing threat to the transportation infrastructure. Despite their precision and general efficiency, infrastructural-scale Unmanned Aerial Systems (UASs) have a disadvantage regarding their capability of being implanted in the ecosystem. There are several reasons for this, but the primary bottleneck is that their systems are not transparent to society and have very complicated processes. As a result, the authors decided to investigate the functional properties of UASs and make improvements to those properties. Throughout the study, the authors’ primary focus was on analysis, which boosts productivity and ensures a significant level of safety for routine flights. The amount of power that a UAV uses depends on several variables, including the amount of power that its individual components require, the temperature of its surroundings, and the condition of the battery that it is powered by. Therefore, critical parameters and interdependencies are taken into account in the risk assessment strategy for energy-efficient Unmanned Aerial Vehicles (UAVs). In the case of UAVs, the algorithm performs a risk calculation before take-off to estimate the amount of risk that can be associated with the given flight time when using the provided battery. On the one hand, several instances of the pre-take-off state and how its parameters interact are investigated. On the other hand, they demonstrate the calculation of the risk while in flight, which is based on actual flight data.
Open Access: Yes
Exercise addiction: A review and evaluation of current research and theory
Publication Name: Journal of Behavioral Addictions
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Background and Aims: While regular physical activity provides many health benefits, exercise can cause more harm than good when done excessively to the point where a person loses control. This condition has been called various names, but the most accurate term is ‘exercise addiction’ (EA) because it reflects both compulsive behavior and dependence. EA is classified as a non-substance-related addictive disorder, or behavioral addiction, and has been the subject of research for over fifty years. However, it is not officially recognized in major diagnostic systems, mainly due to significant conceptual and measurement challenges. This paper provides an overview of current knowledge on EA, including its causes, assessment issues, epidemiology, associated conditions, negative effects, and options for treatment and prevention. Methods: An evaluation-driven narrative review was conducted which synthesized findings from empirical research and theoretical models adopted across EA research. It critically examined prevailing conceptualizations, methodological challenges, and potential treatment approaches. Results: Epidemiological findings are inconsistent and report inflated prevalence rates, partly due to reliance on self-report instruments that often fail to distinguish pathological exercise from passion. Etiological models emphasize the complex interplay between biological, psychological, and behavioral factors. Negative consequences include physical injury, emotional distress, and social strain. Evidence for effective interventions remains sparse. Discussion and Conclusions: Despite growing interest, progress remains slow. There is a need for larger, longitudinal, and experimental studies to advance understanding. Though not included in the DSM-5, greater clinical awareness is vital for early detection and prevention. EA is clinically relevant but still poorly defined, requiring robust empirical and theoretical work.
Open Access: Yes
Waste Management Policy in Four ASEAN Countries: Emerging Contemporary Issues from Research Works
Publication Name: Forum Geografi
Publication Date: 2025-01-01
Volume: 39
Issue: 2
Page Range: 274-291
Description:
Southeast Asia faced an urgent waste crisis, particularly in Indonesia, Malaysia, Thailand, and the Philip-pines, threatening severe environmental, ecosystem, and public health consequences. Without a comprehensive waste management policy, conditions deteriorated significantly. This research explored waste management policy studies with a bibliometric lens in four Southeast Asian countries: Indonesia, Thailand, Malay-sia, and the Philippines. Using the Scopus database, powered by the VOSViewer software and the biblio-metrix-R studio package, this research provided a precise visualization. The findings revealed that four countries exhibited an upward yet fluctuating trend in publication output, with Indonesia emerging as the leading contributor in recent years. Furthermore, most documents studied by scholars, the highest impact documents, and most documents in journal sources were also discussed. Two affiliates in Malaysia were the leading affiliates, followed by two affiliates from Thailand. Moreover, environmental science and social science were areas of interest for scholars. Term network trajectory mapping and thematic maps were comprehen-sively included. In sum, Indonesia fought hard against plastic waste to minimize climate change, while Malaysia focused on addressing waste emissions and household waste. The Philippines sought to raise awareness about the microplastic problem in the ocean and promote public awareness of waste management. Thailand requires attention to financing waste management equipment, implementing environmentally friendly solutions, and revising waste management rules. Its implications underlined a new complex of waste issues in Southeast Asia, requiring adapted strategies and solutions to address each country’s waste challenges and concerns. Current research contributed to the existing state-of-knowledge by providing disaggregated views of national waste management policy in those countries. It also highlighted key potential future hotspots for targeted interventions and resource allocation; thus, future policies and collaborations in waste management might have become more effective and impactful.
Open Access: Yes
Mortality on DOACs Versus on Vitamin K Antagonists in Atrial Fibrillation: Analysis of the Hungarian Health Insurance Fund Database
Publication Name: Clinical Therapeutics
Publication Date: 2023-04-01
Volume: 45
Issue: 4
Page Range: 333-346
Description:
Purpose: Limited real-world data are available on the survival of patients treated with vitamin K antagonists (VKAs) versus with direct oral anticoagulants (DOACs) for nonvalvular atrial fibrillation (AF). In this nationwide registry, we analyzed the mortality risk of patients with nonvalvular AF taking DOACs versus VKAs, with a special attention to the early treatment period. Methods: The Hungarian National Health Insurance Fund (NHIF) database was searched to identify patients treated with VKA or DOAC as a thromboembolic prophylaxis for nonvalvular AF between 2011 and 2016. The overall and the early (0–3, 4–6, and 7–12 months) mortality risks with the 2 types of anticoagulation were compared. A total of 144,394 patients with AF treated with either a VKA (n = 129,925) or a DOAC (n = 14,469) were enrolled. Findings: A 28% improvement in 3-year survival with DOAC treatment compared with VKA treatment was shown. Mortality reduction with DOACs was consistent across different subgroups. However, younger patients (30–59 years old) initiated on DOAC therapy had the greatest RRR (53%) in mortality. Furthermore, DOAC treatment also yielded a benefit of greater magnitude (HR = 0.55; 95% CI, 0.40–0.77, P = 0.001) in the lower (0-1) CHA2 DS2 -VASc score segment and in those with fewer (0–1) bleeding risk factors (HR = 0.50, CI 0.34–0.73, P = 0.001). The RRR in mortality with DOACs was 33% within the first 3 months, and 6% in the second year. Implications: Thromboembolic prophylaxis with DOACs in this study yielded significantly lower mortality compared with VKA treatment in patients with nonvalvular AF. The largest benefit was shown in the early period after treatment initiation, as well as in younger patients, those with a lower CHA2 DS2 -VASc score, and those with fewer bleeding risk factors.
Open Access: Yes
Comparative study of plasma, laser, and flame induced activation of HDPE liner surfaces of type 4 hydrogen vessels
Publication Name: Journal of Adhesion
Publication Date: 2025-01-01
Volume: 101
Issue: 7
Page Range: 909-929
Description:
In our study, we compare the surface modifications of coarse HDPE surface induced by atmospheric air plasma, CO2 laser, and flame treatments. An order of WCA decrease of air plasma>flame>CO2 laser methods was detected. The improvement in adhesion strength measured 5 days after the activations followed the same trend. FT-IR and EDS proved that different oxygen compounds were formed after treatments, resulting in increased polar component of the total surface energy. Flame activation showed a saturation character regarding the O-moiety. Hydrophobic recovery showed a linear behavior, with a larger decreasing slope for the polar component than the total surface energy. Plasma treatments induced higher recovery rate; however, restore was not complete here either. The effects of the different CO2 irradiation intensities were nonlinear; SEM and roughness measurements revealed surface ablation or structure formation on the different samples, while after plasma and flame treatment a hilly microtexture appeared. With different mechanisms and intensities, all the tested methods are suitable for increasing the adhesion strength on HDPE surfaces.
Open Access: Yes
