bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of UK Universities’ Reputation on Economic Recovery in the Crisis Time
Authors: Molavi Homa 
Published: March 2024

AbstractThis article discusses the role of university reputation in economic recovery, particularly in crisis situations. It highlights the importance of maintaining a good reputation for universities. Especially after Brexit, and during the covid pandemic, the burden of compensating the detrimental effects of existing from European Union has been on HE industries’ shoulder. However, the role of HE industry in helping UK to bolster up the economy has been ignored. However, ‘Regional Disparity’ could limit the impact of high-reputed universities.
A Systematic Review of Conversational AI Chatbots in Academic Advising
Authors: Assayed Suha Khalil , Alkhatib Manar , Shaalan Khaled 
Published: March 2024

AbstractPurpose – This paper aims to review several studies published between 2018 to 2022 about advising chatbots in schools and universities as well as evaluating the state-of-the-art machine learning models that are deployed into these models.Methodology – This paper follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), it demonstrated the main phases of the systematic review, it starts with screening 128 articles and then including 11 articles for systematic review which focused on the current services of the advising chatbots in schools and universities, as well the artificial models that are embedded into the chatbots.Findings– Two main dimensions with other sub-dimensions are extracted from the 11 included studies as it shows the following: 1- Advising chatbots AI Architecture which includes other sub-dimensions on identifying the deep learning based chatbots, hybrid chatbots and other open-resources for customizing chatbots; 2- The goals of the advising chatbot as it includes both the admission advising and academic advising.Conclusion – Most of studies shows that advising chatbots are developed for admission and academic advising. Few researchers who study the chatbots in high schools, there is a lack of studies in developing chatbots for students advising in high schools.Limitations and future work – This study is constrained to review the studies from 2018–2022, and it is not exposed to the chatbots artifacts, even though, the human-chatbot interaction has an essential impact on students’ experiences. Future research should include the impact of chatbots interactive design and students’ experiences.
The Challenges Facing Adopting Innovation Process in the Context of Project Management Performance in the Oil and Gas Sector
Authors: Basioni Ahmed , Al Marri Khalid 
Published: March 2024

AbstractPurpose – This paper explores the challenges and enablers of diffusing innovation processes within the oil and gas industry and the impact on the project management process in improving project performance.Methodology – This study employs a qualitative analysis methodology with a structured survey to provide the data for this study.Findings – The anticipated study findings will aid in identifying the primary obstacles to and facilitators of implementing innovation systems within the ecosystem of the oil and gas sector.Implications – It is crucial to carry out follow-up research on integrating the “green innovation” concept to confirm the viability of establishing a conceptual framework for critical variables affecting the adoption of the innovation process within the energy industry.Originality – Discussing the innovation process concerning project management and performance contributes to a broader understanding of a sustainable innovation process that supports expanding the oil and gas industry.
Soft Law in International Investment Law
Authors: Saroj Bini , Kolo Abba 
Published: March 2024

AbstractThis paper aims to analyze the concept of soft laws and its significance in international law with special emphasis on its effect on international investment law. In this paper, the authors have relied upon the works of legal scholars and arbitral jurisprudence to understand their observations about the role of soft laws and apply such observations to the present times to analyze the strengths and drawbacks of soft law in the current international investment law context. The paper argues that although formally non-binding, yet in practice soft law instruments do influence the behavior of states and foreign investors either directly or indirectly. They also play a significant role in the formulation of international law by serving as precursors to the formulation of binding rules by states or by developing the rights and obligations of the parties mainly through interpretation of vague or open-ended investment treaty provisions by arbitral tribunals.
The Impact of Digital Knowledge Management on Organizational Performance
Authors: Karim Asma Abdul , Khan Muhammad Waris Ali , Adeleke A. Q. 
Published: March 2024

AbstractDigital knowledge management is one of the important components of the overall operations of the organisation, particularly in this digital era. It is comprised of three main components including digital knowledge creation, digital knowledge sharing and digital organisational learning in order to get maximum output in terms of financial and non-financial outcomes. This study particularly provides insights into the constructs of creating, sharing, disseminating, and learning on financial objectives such as profitability, return on investment cost saving, as well as non-financial objectives that include employee satisfaction, customer satisfaction and innovation. The Research will help us to evaluate whether digital knowledge management tools can have a positive impact on the overall organisational performance through digital technology that not only helps internal operations through digitised specifications as well as gains a competitive advantage in an external digital environment.Purpose: The aim of the study is to investigate the overall effect of digital knowledge management on organisational performance particularly the purpose of the studies the impact of digital knowledge creation, digital knowledge sharing and Organisational learning on the overall performance that includes financial and non-financial outcomes.Methodology: The methodology adopted in the study is based on the quantitative research approach utilising the survey data to get information on digital knowledge management practices and Organisation performance indicators.Findings: The findings of the studies show a significant positive relationship between Digital knowledge management and Organisational performance in both financial and non-financial outcomes to enhance the overall performance of the organisation.Implications: After evaluating all the data this study suggests that the organisation should protect prioritise and invest in digital knowledge management practices in audit in hands the financial and non-financial goals that include sustainable innovation, enhanced decision-making strategies and digital organisation learning.
Law Comparison as a Research Method in Legal Studies, and Its Importance in Promoting Uniformity in Legal Systems
Authors: Al Abiad Hiba , Masadeh Ayman 
Published: March 2024

AbstractThe article examines law comparison as a research method and its application in reinforcing legal systems. Comparative legal research methods and challenges will be briefly discussed. Comparative legal research is crucial for identifying effective methods, promoting legal framework uniformity and comprehension, as well as modernising the legal system. This article also discusses comparative law and model laws like the New York Convention (the “NYC”) on the Recognition and Enforcement of Foreign Arbitral Awards. Comparative law investigations ensure fair, efficient, and successful utilisation of legal systems. The author suggests that legal practitioners and scholars utilise it to clarify legal difficulties and find worldwide best practices.
The Impact of Key Determinants of BIM Technology Adoption on Organizational Performance within the UAE Construction Industry
Authors: Abdulrahim Amina 
Published: March 2024

AbstractPurpose- To evaluate the impact of key determinates of BIM technology adoption on various aspects of organizational and business performance in the UAE construction industry using the UTAUT model. The three factors examined in this study are performance expectancy, behavioral intention, use behavior and their impact on organizational performance.Methodology- This paper employs a theoretical background and proposes a research module to study the impact of key determinants of BIM technology adoption on organizational performance within UAE-based construction companies. The scope of this paper does not cover performing field empirical analysis.Findings- The paper's expected outcomes will allow a better understanding of the impact of BIM adoption key determinants of BIM technology, and organizational performance within the UAE construction industryImplications- The study can assist in maximizing the overall performance of companies within the UAE construction industry while adopting BIM technology, contributing to the literature in this area.Originality/ value - Discussing BIM technology adoption key determinates impact organizational and business performance related to the construction industry within the UAE by employing the UTAUT model to develop a new research model, which will allow construction companies to increase overall business performance by adopting new technology. This will also contribute to the literature related to the diffusion of new technologies.
An Investigation of the Development and Implementation of Teacher's Licensing in Saudi Arabia Based on Local Stakeholders’ Perceptions, Compared with International and Regional Practices
Authors: Hameedadin Amal Abdullah , Hill Christopher 
Published: March 2024

AbstractSaudi Arabia- is moving steadily toward Vision 2030. Accordingly, the Educational & Training Evaluation Commission (ETEC) has teamed up with the Ministry of Education in Saudi Arabia to update and raise the ‘Teacher Licensure Programme’ bar.Purpose- The study aimed to investigate the development and implementation of the 2019 teacher licensure program in Saudi Arabia.Methodology- The study adopted the exploratory sequential mixed method. The paper consisted of three stages. Initially, six policies were reviewed to compare international, regional, and local licensures. Second, the study collected quantitative data from 300 teachers from public schools through an online survey. The last stage collected qualitative data through a school leaders’ questionnaire.Findings- Stage one findings were linked to international and regional practices. A comparative study revealed a lack of career development at the college level and during in-service training in Saudi Arabia. Furthermore, there is a need for a standardized teacher evaluation system that includes constructive feedback and reflection. Based on stage two findings, teachers expressed negative views regarding the current licensing programme. In addition, stage three findings confirmed stage two results from the perspective of school leaders and policymakers.Implications- Educators should consider building long-life learners by aligning licensing standards with the exam and desired outcomes, ensuring stakeholders’ involvement, create a continuous PD program.Originality/value- This study filled a critical gap in the theoretical field of teacher licensing in the Gulf Region. Additionally, the research suggested a flexible framework based on the best practices and the perceptions and experiences of the stakeholders. The framework asserted that the licensing examination is one of a number of methods for evaluating teachers.
Integrating Competencies into Preventive Maintenance Scheduling with Answer Set Optimization
Authors: Yli-Jyrä Anssi , Ikävalko Heini , Janhunen Tomi 
Published: March 2024

AbstractThe maintenance optimization of multi-component machines has been recently formalized as an Answer Set Optimization (ASO) problem based on component selection and grouping of overlapping maintenance intervals. The motivation of the current work is to develop an extension that would integrate resources and availability constraints into this maintenance model. This article outlines an extended ASO model with the primary focus on modeling and optimizing costly maintenance resources, culminating in cost savings facilitated by the progressive development of workforce competence. The model presented in this work extends the cost function of the prior ASO formalization in a modular way with additional cost priorities concerning parallelism, workforce, and expertise. Due to the presented extensions, the complexity of the integrated maintenance model increases compared to the prior formalization.
Non-factorisable contributions of strong-penguin operators in Λb → Λℓ+ℓ− decays
Authors: Feldmann Thorsten , Gubernari Nico 
Published: March 2024

Abstract
We investigate for the first time a certain class of non-factorisable contributions of the four-quark operators $$ \mathcal{O} $$
O
3−6 in the weak effective Hamiltonian to the Λb → Λℓ+ℓ− decay amplitude. We focus on the case where a virtual photon is radiated from one of the light constituents of the Λb baryon, in the kinematic situation of large hadronic recoil with an energetic Λ baryon in the final state. The effect on the suitably defined “non-local form factors” is calculated using the light-cone sum rule approach for a correlator with an interpolating current for the light Λ baryon. We find that this approach requires the introduction of new soft functions that generalise the standard light-cone distribution amplitudes (LCDAs) for the heavy Λb baryon. We give a heuristic discussion of their properties and a model that relates them to the standard LCDAs. Within this framework, we provide numerical results for the size of the non-local form factors considered.
Non-Uniqueness and Energy Dissipation for 2D Euler Equations with Vorticity in Hardy Spaces
Authors: Buck Miriam , Modena Stefano 
Published: March 2024

AbstractWe construct by convex integration examples of energy dissipating solutions to the 2D Euler equations on $${\mathbb {R}}^2$$

R

2

with vorticity in the Hardy space $$H^p({\mathbb {R}}^2)$$

H
p

(

R

2

)

, for any $$2/3<p<1$$

2
/
3
<
p
<
1

.
Transcutaneous vagal nerve stimulation for treating gastrointestinal symptoms in individuals with diabetes: a randomised, double-blind, sham-controlled, multicentre trial
Authors: Kornum Ditte S. , Bertoli Davide , Kufaishi Huda , Wegeberg Anne-Marie , Okdahl Tina , Mark Esben B. , Høyer Katrine L. , Frøkjær Jens B. , Brock Birgitte , Krogh Klaus , Hansen Christian S. , Knop Filip K. , Brock Christina , Drewes Asbjørn M. 
Published: March 2024

Abstract
Aims/hypothesis
Diabetic gastroenteropathy frequently causes debilitating gastrointestinal symptoms. Previous uncontrolled studies have shown that transcutaneous vagal nerve stimulation (tVNS) may improve gastrointestinal symptoms. To investigate the effect of cervical tVNS in individuals with diabetes suffering from autonomic neuropathy and gastrointestinal symptoms, we conducted a randomised, sham-controlled, double-blind (participants and investigators were blinded to the allocated treatment) study.

Methods
This study included adults (aged 20–86) with type 1 or 2 diabetes, gastrointestinal symptoms and autonomic neuropathy recruited from three Steno Diabetes Centres in Denmark. Participants were randomly allocated 1:1 to receive active or sham stimulation. Active cervical tVNS or sham stimulation was self-administered over two successive study periods: 1 week of four daily stimulations and 8 weeks of two daily stimulations. The primary outcome measures were gastrointestinal symptom changes as measured using the gastroparesis cardinal symptom index (GCSI) and the gastrointestinal symptom rating scale (GSRS). Secondary outcomes included gastrointestinal transit times and cardiovascular autonomic function.

Results
Sixty-eight participants were randomised to the active group, while 77 were randomised to the sham group. Sixty-three in the active and 68 in the sham group remained for analysis in study period 1, while 62 in each group were analysed in study period 2. In study period 1, active and sham tVNS resulted in similar symptom reductions (GCSI: −0.26 ± 0.64 vs −0.17 ± 0.62, p=0.44; GSRS: −0.35 ± 0.62 vs −0.32 ± 0.59, p=0.77; mean ± SD). In study period 2, active stimulation also caused a mean symptom decrease that was comparable to that observed after sham stimulation (GCSI: −0.47 ± 0.78 vs −0.33 ± 0.75, p=0.34; GSRS: −0.46 ± 0.90 vs −0.35 ± 0.79, p=0.50). Gastric emptying time was increased in the active group compared with sham (23 min vs −19 min, p=0.04). Segmental intestinal transit times and cardiovascular autonomic measurements did not differ between treatment groups (all p>0.05). The tVNS was well-tolerated.

Conclusions/interpretation
Cervical tVNS, compared with sham stimulation, does not improve gastrointestinal symptoms among individuals with diabetes and autonomic neuropathy.

Trial registration
ClinicalTrials.gov NCT04143269

Funding
The study was funded by the Novo Nordisk Foundation (grant number NNF180C0052045)

Graphical Abstract
Uniformly strict equilibrium for repeated games with private monitoring and communication
Authors: McLean Richard , Obara Ichiro , Postlewaite Andrew 
Published: March 2024

AbstractCooperation through repetition is an important theme in game theory. In this regard, various celebrated “folk theorems” have been proposed for repeated games in increasingly more complex environments. There has, however, been insufficient attention paid to the robustness of a large set of equilibria that is needed for such folk theorems. Starting with perfect public equilibrium as our starting point, we study uniformly strict equilibria in repeated games with private monitoring and direct communication (cheap talk). We characterize the limit equilibrium payoff set and identify the conditions for the folk theorem to hold with uniformly strict equilibrium.
Molecular mechanisms of resveratrol and its silver nanoparticle conjugate in addressing sepsis-induced lung injury
Authors: Üstündağ Hilal , Kara Adem , Doğanay Songül , Kurt Nezahat , Erbaş Elif , Kalindemirtaş Ferdane Danişman , Kariper İshak Afşin 
Published: March 2024

AbstractSepsis is a life-threatening condition characterized by a systemic inflammatory response to infection. Despite extensive research on its pathophysiology, effective therapeutic approaches remain a challenge. This study investigated the potential of resveratrol (RV) and silver nanoparticle–enhanced resveratrol (AgNP-RV) as treatments for sepsis-induced lung injury using a rat model of polymicrobial sepsis induced by cecal ligation and puncture (CLP). The study focused on evaluating changes in oxidative status (TAS, TOS, and OSI) and the expression of inflammatory and apoptotic markers (IL-1β, TNF-α, P2X7R, TLR4, Caspase-3, and Bcl-2) in lung tissue. Both RV and AgNP-RV demonstrated potential in mitigating oxidative stress, inflammation, and apoptosis, with AgNP-RV exhibiting greater efficacy than RV alone (p < 0.05). These findings were corroborated by histopathological analyses, which revealed reduced tissue damage in the RV- and AgNP-RV-treated groups. Our study highlights the therapeutic potential of RV and, particularly, AgNP-RV in combating sepsis-induced oxidative stress, inflammation, and apoptosis. It also underscores the promise of nanoparticle technology in enhancing therapeutic outcomes. However, further investigations are warranted to fully understand the mechanisms of action, especially concerning the role of the P2X7 receptor in the observed effects. Nonetheless, our research suggests that RV and AgNP-RV hold promise as novel strategies for sepsis management.
“Resistance leads to self-destruction”: how an (a)political strategy helped Karl von Frisch succeed during the Nazi era
Authors: Zupanc Günther K. H. , Wanninger Susanne 
Published: March 2024

AbstractKarl von Frisch, one of the leading zoologists of the twentieth century and co-founder of the Journal of Comparative Physiology A, has been frequently portrayed as an opponent of the Nazi regime because he, as a ‘quarter-Jew,’ faced the threat of forced retirement from his position as a professor at the University of Munich during the Third Reich. However, doubts about an active opposition role have surfaced in recent years. A litmus test for assessing the validity of this notion is provided by our discovery that four of the six core members of the anti-Nazi resistance group ‘White Rose’—Sophie Scholl, Hans Scholl, Christoph Probst, and Alexander Schmorell—were his students. When they were arrested, sentenced to death, and executed, he seemed to ignore this historic event, both during and after World War II—in line with his belief that resistance leads to self-destruction, and research can flourish only by ignoring what happens around oneself. On the other hand, this seemingly apolitical attitude did not prevent him from making use of politics when it served his interests. Such actions included his (pseudo-)scientific justification of forced sterilization of people suffering from hereditary disorders during the Third Reich and his praise of the Nazi government’s efforts to “keep races pure.” As unsettling as these and some other political views and actions of Karl von Frisch are, they enabled him to carry out several critical pieces of his research agenda during the Third Reich, which three decades later earned him a Nobel Prize.
Efficient inference and learning of a generative model for ENSO predictions from large multi-model datasets
Authors: Groth Andreas , Chavez Erik 
Published: March 2024

AbstractHistorical simulations of global sea-surface temperature (SST) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) are analyzed. A state-of-the-art deep learning approach is applied to provide a unified access to the diversity of simulations in the large multi-model dataset in order to go beyond the current technological paradigm of ensemble averaging. Based on the concept of a variational auto-encoder (VAE), a generative model of global SST is proposed in combination with an inference model that aims to solve the problem of determining a joint distribution over the data generating factors. With a focus on the El Niño Southern Oscillation (ENSO), the performance of the VAE-based approach in simulating various central features of observed ENSO dynamics is demonstrated. A combination of the VAE with a forecasting model is proposed to make predictions about the distribution of global SST and the corresponding future path of the Niño index from the learned latent factors. The proposed ENSO emulator is compared with historical observations and proves particularly skillful at reproducing various aspects of observed ENSO asymmetry between the two phases of warm El Niño and cold La Niña. A relationship between ENSO asymmetry and ENSO predictability is identified in the ENSO emulator, which improves the prediction of the simulated Niño index in a number of CMIP5 models.