bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disseminated appendicular lymphoma presenting as acute appendicitis: a case report
Authors: Regmi Dipesh , Devkota Shishir , Bhatta Om Prakash , Bhetwal Prashant , Yadav Sushil Kumar , Baral Pratik , Kandel Bishnu Prasad , Joshi Lakhey Paleswan 
Published: January 2024

Introduction and importance:
Acute appendicitis is a common surgical emergency marked by appendix inflammation, presenting as acute abdominal pain and typically treated with appendectomy. The authors report a rare case of disseminated appendicular lymphoma presenting as acute appendicitis. Acute appendicitis is a common surgical emergency.

Case presentation:
This case involved a 75-year-old male patient who underwent appendectomy, revealing an enlarged appendix with lymphomatous nodules.

Clinical discussion:
Lymphoma involvement in the appendix is extremely rare, and lymphomas presenting as acute appendicitis are even more exceptional. Imaging investigations, including ultrasound and CECT scan of the abdomen, are recommended to aid in diagnosis. On computed tomography, appendiceal lymphoma is characterized by markedly diffuse mural soft-tissue thickening with preserved vermiform morphology and occasional aneurysmal dilatation of the lumen.

Conclusion:
This case underscores the importance of considering unusual etiologies in atypical appendicitis presentations.
A rare case of cecal foreign body leading to cecal perforation in 12-year-old child: a clinical case report and review of literature
Authors: Ibrahim Amelmasin Faris , Hussen Mohammed Seid , Tekle Yared , Mohammed Hussen 
Published: January 2024

Introduction and importance:Cecal foreign bodies are uncommon causes of acute abdomen, and their presentation can often mimic acute appendicitis (AA), making it challenging to diagnose. The authors present the case of a 12-year-old male from Ethiopia who initially presented with symptoms suggestive of AA. However, during surgery, the authors found a multiple magnetic fields result in perforation. This case highlights the importance of considering unusual etiologies.Case presentation:A 12-year-old boy with AA associated with anorexia, nausea, and low-grade fever was referred from a private clinic. Otherwise, no history of recent respiratory infection and diarrhea, and was previously in good health. The patient did not report any history of a foreign body (FB), even to his own family, and, except for himself, no one was aware of the ingested FB. The work has been reported in line with the Surgical CAse REport (SCARE) 2023 criteria.Discussion:In this case, the authors experienced multiple magnetic FB in the cecum, which were not observed on ultrasound (U/S). However, this case closely resembled appendicitis. U/S can aid in differentiation. However, it may not always identify the underlying etiology, specifically in a resource-limited setting.Conclusion:Based on the patient’s presentation, AA was diagnosed and emergency surgery was presumed to be inflamed. However, three magnetic FB were the underlying cause of the presentation, which created pressure on the cecal wall, and the authors successfully performed surgical management. This case reminds us of uncommon etiologies, such as magnets in patients with symptoms of appendicitis. This underscores the importance of an open-minded approach to unexpected findings during surgery.
Solving two-dimensional adjoint QCD with a basis-function approach
Authors: Trittmann Uwe 
Published: January 2024

We apply a method (“eLCQ”) to find the asymptotic spectrum of a Hamiltonian from its symmetries to two-dimensional adjoint QCD. Streamlining the approach, we construct a complete set of asymptotic eigenfunctions in all parton sectors and use it in a basis-function approach to find the spectrum of the full theory. We are able to reproduce previous results including the degeneracy of fermionic and bosonic masses at the supersymmetric point, and to understand the properties of the lowest states in the massless theory. The approach taken here is continuous at fixed parton number, and therefore complementary to standard formulations, e.g. discretized light-cone quantization (DLCQ). Despite its limitation to rather small parton numbers, it can be used to test and validate conclusions of other frameworks in an independent way.

Published by the American Physical Society
2024
Investigating the early signs of ASD in preschool children in the UAE as a model for GCC countries
Authors: AlQahtani Omniah , Efstratopoulou Maria 
Published: January 2024

Purpose
Identifying autism spectrum disorder (ASD) in children’s early years significantly impacts their academic performance and future life. It allows them to receive special support services and the required early intervention. Preschool teachers spend considerable time with their students, which allows them to observe their behaviors in different settings like classrooms and playgrounds. However, teachers need to be knowledgeable of ASD early assessment to detect them. Whereas, all well-known ASD assessment tools are designed for populations from different cultures than the Gulf Cooperation Councils' (GCC) culture. This study emphasizes the importance of preschool age, from 3 to 5, in indicating children's early signs of ASD. This paper aims to indicate the early signs of ASD in preschool children in the UAE as a model for other GCC countries.

Design/methodology/approach
A qualitative method consisting of interviews with preschool teachers and the ASD children’s parents was conducted to investigate the ASD early symptoms in children.

Findings
The findings of the study show that there is a direct connection between the opinions expressed by preschool teachers and the parents of children with ASD (Autism Spectrum Disorder). These results also highlight the presence of early indications of ASD among preschool-aged children in the United Arab Emirates, such as difficulties in communication, repetitive actions, delayed speech, excessive focus on tablets, trouble paying attention, hyperactivity, sleep problems, and aggressive behavior.

Originality/value
The outcomes suggest a strong connection between the feedback from preschool teachers and the parents of children with ASD. The study uncovers initial indications of ASD in preschool-aged children from the United Arab Emirates, such as difficulties in communication, repetitive actions, delayed speech, excessive fascination with tablets, problems with attention, hyperactivity, sleep disturbances, and aggressive behavior.
A novel granular decomposition based predictive modeling framework for cryptocurrencies' prices forecasting
Authors: Ghosh Indranil , Jana Rabin K. , Sharma Dinesh K. 
Published: January 2024

PurposeOwing to highly volatile and chaotic external events, predicting future movements of cryptocurrencies is a challenging task. This paper advances a granular hybrid predictive modeling framework for predicting the future figures of Bitcoin (BTC), Litecoin (LTC), Ethereum (ETH), Stellar (XLM) and Tether (USDT) during normal and pandemic regimes.Design/methodology/approachInitially, the major temporal characteristics of the price series are examined. In the second stage, ensemble empirical mode decomposition (EEMD) and maximal overlap discrete wavelet transformation (MODWT) are used to decompose the original time series into two distinct sets of granular subseries. In the third stage, long- and short-term memory network (LSTM) and extreme gradient boosting (XGB) are applied to the decomposed subseries to estimate the initial forecasts. Lastly, sequential quadratic programming (SQP) is used to fetch the forecast by combining the initial forecasts.FindingsRigorous performance assessment and the outcome of the Diebold-Mariano’s pairwise statistical test demonstrate the efficacy of the suggested predictive framework. The framework yields commendable predictive performance during the COVID-19 pandemic timeline explicitly as well. Future trends of BTC and ETH are found to be relatively easier to predict, while USDT is relatively difficult to predict.Originality/valueThe robustness of the proposed framework can be leveraged for practical trading and managing investment in crypto market. Empirical properties of the temporal dynamics of chosen cryptocurrencies provide deeper insights.
Enrichment of Schema.org with cultural heritage context standards for the description and processing of electronic thesis and dissertations
Authors: Mohammadi Ostani Morteza , Ebadollah Amoughin Jafar , Jalili Manaf Mohadeseh 
Published: January 2024

PurposeThis study aims to adjust Thesis-type properties on Schema.org using metadata models and standards (MS) (Bibframe, electronic thesis and dissertations [ETD]-MS, Common European Research Information Format [CERIF] and Dublin Core [DC]) to enrich the Thesis-type properties for better description and processing on the Web.Design/methodology/approachThis study is applied, descriptive analysis in nature and is based on content analysis in terms of method. The research population consisted of elements and attributes of the metadata model and standards (Bibframe, ETD-MS, CERIF and DC) and Thesis-type properties in the Schema.org. The data collection tool was a researcher-made checklist, and the data collection method was structured observation.FindingsThe results show that the 65 Thesis-type properties and the two levels of Thing and CreativeWork as its parents on Schema.org that corresponds to the elements and attributes of related models and standards. In addition, 12 properties are special to the Thesis type for better comprehensive description and processing, and 27 properties are added to the CreativeWork type.Practical implicationsEnrichment and expansion of Thesis-type properties on Schema.org is one of the practical applications of the present study, which have enabled more comprehensive description and processing and increased access points and visibility for ETDs in the environment Web and digital libraries.Originality/valueThis study has offered some new Thesis type properties and CreativeWork levels on Schema.org. To the best of the authors’ knowledge, this is the first time this issue is investigated.
TiO2 and CeO2 nanoparticles as lithium complex grease additives for enhanced lubricity
Authors: Du Zhicai , He Qiang , Wan Hengcheng , Zhang Lei , Xu Zehua , Xu Yuan , Li Guotao 
Published: January 2024

Purpose
This paper aims to improve the tribological properties of lithium complex greases using nanoparticles to investigate the tribological behavior of single additives (nano-TiO2 or nano-CeO2) and composite additives (nano-TiO2–CeO2) in lithium complex greases and to analyze the mechanism of their influence using a variety of characterization tools.

Design/methodology/approach
The morphology and microstructure of the nanoparticles were characterized by scanning electron microscopy and an X-ray diffractometer. The tribological properties of different nanoparticles, as well as compounded nanoparticles as greases, were evaluated. Average friction coefficients and wear diameters were analyzed. Scanning electron microscopy and three-dimensional topography were used to analyze the surface topography of worn steel balls. The elements present on the worn steel balls’ surface were analyzed using energy-dispersive spectroscopy and X-ray photoelectron spectroscopy.

Findings
The results showed that the coefficient of friction (COF) of grease with all three nanoparticles added was low. The grease-containing composite nanoparticles exhibited a lower COF and superior anti-wear properties. The sample displayed its optimal tribological performance when the ratio of TiO2 to CeO2 was 6:4, resulting in a 30.5% reduction in the COF and a 29.2% decrease in wear spot diameter compared to the original grease. Additionally, the roughness of the worn spot surface and the maximum depth of the wear mark were significantly reduced.

Originality/value
The main innovation of this study is the first mixing of nano-TiO2 and nano-CeO2 with different sizes and properties as compound lithium grease additives to significantly enhance the anti-wear and friction reduction properties of this grease. The results of friction experiments with a single additive are used as a basis to explore the synergistic lubrication mechanism of the compounded nanoparticles. This innovative approach provides a new reference and direction for future research and development of grease additives.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2023-0291/
Motivation for writing long online reviews: a big data analysis of an anime community
Authors: Leung Kevin , Cho Vincent 
Published: January 2024

PurposeBased on self-determination theory (SDT), this study aims to determine the motivation factors of reviewers writing long reviews in the anime industry.Design/methodology/approachThis study analyzes 171,188 online review data collected from an online anime community (MyAnimeList.net).FindingsThe findings show that intensity of emotions, experience in writing reviews and helpful votes in past reviews are the most important factors and positively influence review length. The overall rating of the anime moderates the effects of some motivation factors. Moreover, reviewers commenting on their favorite or nonfavorite anime also have varied motivation factors. Furthermore, this study has addressed the p-value problem due to the large sample size.Research limitations/implicationsThis study provides a comprehensive and theoretical understanding of reviewers' motivation for writing long reviews.Practical implicationsOnline communities can incorporate the insights from this study into website design and motivate reviewers to write long reviews.Originality/valueMany past studies have investigated what reviews are more helpful. Review length is the most important factor of review helpfulness and positively affects it. However, few studies have examined the determinants of review length. This study attempts to address this issue.
Theories underlying environmental, social and governance (ESG) disclosure: a systematic review of accounting studies
Authors: Del Gesso Carla , Lodhi Rab Nawaz 
Published: January 2024

PurposeEnvironmental, social and governance (ESG) disclosure has gained momentum in corporate reporting. Addressing a research gap on the subject, this paper aims to explore the theories involved in ESG disclosure studies, thereby shedding light on the dominant theoretical approaches and emerging perspectives that inform this type of disclosure.Design/methodology/approachA systematic review of 142 selected accounting studies published up to June 2023 devoted to ESG – and corporate social responsibility (CSR) – disclosure was conducted. The theories underlying these studies were examined through a descriptive performance analysis complemented by a systematic qualitative text analysis using RStudio and QDA Miner software tools.FindingsThe study reveals that five dominant theories stand out among the overall 32 found: stakeholder theory first, followed by legitimacy, institutional, agency and signaling theories. Theories are often combined into an integrated theoretical framework. The findings also show an array of minor constructs – many of them unconventional – that offer fresh perspectives for studying ESG disclosure, such as upper echelons, stakeholder salience, cognitive cost and reputation theories, among others.Originality/valueThis paper provides an original literature contribution by offering a comprehensive overview of the mainstream and niche theoretical perspectives underpinning accounting studies focused on ESG disclosure, with a nuanced scope of discussion on the use of ESG/CSR terms.
Assessing project complexity factors for railway megaprojects: a Delphi-BWM approach
Authors: Bhangale Kavita , Joshi Kanchan , Gupta Ruchita , Gardas Bhaskar 
Published: January 2024

Purpose
Project complexity (PC) governs project success, but the project management literature primarily focuses on performance measures and rarely examines the complexity factors, especially for megaprojects. This paper aims to determine the most significant complexity factors for the railway megaprojects in India.

Design/methodology/approach
A mixed approach using the Delphi and best–worst method (BWM) helped to identify, validate and determine the most critical factors that require intervention to diminish variance from project performance.

Findings
The BWM resulted in stakeholder management, followed by organizational and technological complexity as significant complexity factors, and the varied interests of the stakeholder as the most important among the 40 subfactors.

Practical implications
The finding indicates the necessity for strategic, tactical and operational-level interventions to effectively manage the complexity affecting project efficiency because of the varied stakeholders. This paper will guide the project and general managers to prioritize their resources to handle complexity for effective project performance measured in terms of time, cost and quality and help them make strategic decisions. The research findings of this study are expected to help researchers and practitioners in better planning and smoother execution of projects. In addition, this study would help the researchers formulate policies and strategies for better handling of the projects.

Originality/value
This study adds significant value to the body of knowledge related to PC in megaprojects in developing countries. The result of the investigation underlined that nine complexity factors and seven unique subfactors, namely, the sustainable environment, timely availability of information, communication in both directions, interdepartmental dependency and coordination, design, statutory norms, site challenges, socioeconomic conditions, the tendency of staff to accept new technology and the frequent changes in the requirements of stakeholders are significant in railway megaprojects. The BWM is applied to rank the complexity factors and subfactors in the case area.
Board characteristics and takaful performance: the moderating role of ownership concentration
Authors: Sallemi Nourhen , Zouari Ghazi 
Published: January 2024

Purpose
The purpose of this study is to examine the impact of board characteristics (board size, board independence and duality) on the performance of takaful insurance providers with distinguishable muamalah contracts (wakalah and hybrid) moderated by ownership concentration.

Design/methodology/approach
The sample consists of 30 takaful insurances. The authors divided it into two subsamples: 18 insurance companies using wakalah contracts provided by Southeast Asia and 12 insurance companies using hybrid contracts provided by the Gulf Cooperation Council over the period 2010–2020. For data analysis, the authors used the partial least squares path modeling method.

Findings
The results show that the larger the board of directors and the higher the number of independent directors, the greater the takaful performance in both the wakalah and hybrid subsamples. Nondual functions improve the takaful performance in both the wakalah and hybrid subsamples. The results also reveal that a highly concentrated ownership structure positively (negatively) moderates the relationship between board size and takaful performance in the wakalah (hybrid) subsamples. Moreover, highly concentrated ownership insignificantly (negatively) moderates the relationship between independent directors and takaful’s performance in the hybrid (wakalah) subsample. Furthermore, a highly concentrated ownership structure insignificantly (negatively) moderates the relationship between the nondual structure and takaful performance in the wakalah (hybrid) subsample.

Originality/value
This study contributes to the understanding of the moderating role of a highly concentrated ownership structure between the characteristics of the board of directors and the performance of takaful insurance, which applies wakalah and hybrid contracts. In addition, this study contributes to takaful insurance by determining the appropriate board characteristics that must be adopted to achieve oversight and improve performance. Regulators should appreciate this contribution to the formulation of suitable approaches for efficiently supervising takaful insurance activities.
Mediterranean diet and telomere length: aspects from obesity
Authors: Arslan Neslihan , Köksal Eda 
Published: January 2024

PurposeThe goal of this narrative review was to look at the link between the Mediterranean diet (MD) and the telomere length. Furthermore, this study aims to understand the impact of the MD on obesity-related telomere length.Design/methodology/approachRelevant literature was reviewed to explore the potential influence of the MD on telomere length and its association with obesity.FindingsThe MD is one of the healthiest diets of all known dietary patterns, and it is also linked to the telomere length. Except for fruits and vegetables, the main findings for other MD components are inconsistent. In terms of antioxidant and antiinflammatory properties, using the MD as a weight loss approach is a good method. For predicting changes in obesity characteristics, the initial telomere length is critical. However, there are not many studies in the field that have looked at the MD as a weight loss approach and its link to the telomere length. As a result, more research is needed to understand these connections in various groups.Originality/valueThis study is unique since it examines the MD, telomere length and obesity-related consequences. This study examines the MD, telomere length and obesity to determine if the MD can help lose weight while maintaining telomere length. As there are few studies on MD weight loss and telomere length, the work emphasizes the need for greater research in this area. This study fills a research gap and improves the understanding of nutrition, telomere biology and obesity-related outcomes.
Empowering sustainability practices through energy transition: The role of digital economy and technological innovation among BRICS economies
Authors: Baloch Muhammad Awais , Qiu Yiting , Guo Zilu 
Published: January 2024

AbstractAchieving sustainable development targets requires major changes in the existing economic structure and a transition from a pollution‐intensive energy system to a clean one. The role of the digital economy (DE) in this regard has received much attention in recent eras. However, there is little literature investigating the relationship between the DE and the energy transition in the presence of technological innovation. This study's aim, grounded in the sustainability agenda, is to explore the possible impact of DE and technological innovation on the energy transition for the BRICS nations from 2003 to 2021. Using the most recent Moments Quantile Regression method, the results reveal that the DE can contribute significantly to achieving SDG‐7 by promoting energy transition. While technological innovation does not significantly influence the energy transition. Moreover, economic development is hindering the energy transition in the BRICS countries. Several alternative estimation methods have been applied to confirm the robustness of the results. The empirical results conclude that governments should build digital infrastructure and encourage innovation in the energy sector by supporting energy‐related patents. The detailed policy implications are presented in the study.