bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Review of Surgical Incisions Used for the Excision of Benign Parotid Tumors
Authors: Zeng Junhao , Li Jianrui , Saad Mariam , Lineaweaver William C. , Qi Fazhi , Pan Yuyan 
Published: August 2024

Objective
To provide surgical references for selecting appropriate parotidectomy incisions, reviewing modified approaches, incision designs, and associated complications.

Methods
We have systematically searched 5 medical literature databases examining parotidectomy incision designs and postoperative complications from 2008 to 2021.

Results
There are a total of 9 novel incision designs: 1) posterior auricular hairline incision (PAHI); 2) combined preauricular and retroauricular incision (CPRI); 3) V-shaped incision (VI); 4) N-shaped incision (NI); 5) postaural incision (PI); 6) preauricular crutch incision (PCI); and 7) endaural incision (EI). Simultaneously, there are a total of 8 postoperative complications: 1) infection; 2) salivary fistula; 3) facial nerve palsy/paresis; 4) ear lobule numbness; 5) Frey syndrome; 6) facial deformity; 7) hematoma; and 8) tumor reoccurrence.

Conclusions
Over the last decade, a surge in modified parotidectomy incisions has been witnessed in clinical practice. This expansion is attributed to rapid technical advancements and a deeper understanding of anatomy and histopathology. These modified approaches contribute significantly to improving cosmetic outcomes, minimizing associated complications, and enhancing patient satisfaction.
Rosacea Epidemiological Investigation and Etiology Exploration in the Plateau Area
Authors: Wen Weidong , Dahl Colin , Zhang Yong 
Published: August 2024

Background
The epidemiology of 2 neighboring cities of differing altitude in Northwest China is unknown. The present study investigated the prevalence of rosacea in a high-altitude city and a low-altitude city.

Methods
The prevalence study was conducted via clinical examination of male and female participants in the following age groups: 5–17, 18–30, 31–50, and 51–70 years. Rosacea subtype was also determined as erythematotelangiectatic rosacea (ETTR) or papulopustular rosacea (PPR).

Results
The rosacea prevalence (RP) in the low-altitude city was 33.8% ± 1.2% (95% CI, ETTR = 1794, PPR = 174, n = 5794). RP in the high-altitude city has a notably higher reading of 47.7% ± 1.4% (95% CI, ETTR = 2090, PPR = 219, n = 4796). In both cities, the ETTR subtype predominated, and there was marked increase in RP among females. RP in low-altitude city females was steady across all age groups, while RP in low-altitude city males showed a declining trend with age. RP in high-altitude city females indicated a slightly increasing trend with age, while RP in males again showed a declining trend with age. Based on the results of this high-altitude city and low-altitude city study, there are an estimated 2.1 million people with rosacea, from 2 cities with a total population of 5.4 million.

Conclusions
Due to the high altitude and accompanying increased UV radiation, cold climate, and reduced oxygen density, the greater northwest region of China is expected to experience high RP rates.
Milestones in Surgical Complication Reporting
Authors: Abbassi Fariba , Pfister Matthias , Lucas Katharina L. , Domenghino Anja , Puhan Milo A. , Clavien Pierre-Alain ,   the Outcome Reporting Group
Published: August 2024

Objective:
To provide improved guidance for the consistent application of the Clavien-Dindo classification (CDC) and Comprehensive Complication Index (CCI®) in challenging clinical scenarios.

Background:
Standardized outcome reporting is key for the proper assessment of surgical procedures. A recent consensus conference recommended the CDC and the CCI® for assessing postoperative morbidity. Several challenging scenarios for grading complications still require evidence-based guidance, and the use of the 2 metrics in randomized controlled trials (RCTs) remains unexplored.

Methods:
We assessed the use of the CDC and CCI® as an outcome measure in a systematic literature search. In addition, we asked 163 international surgeons to critically evaluate and independently grade complications in 20 complex clinical scenarios. Finally, a Core Group of 5 experts used this information to develop consistent recommendations.

Results:
Until July 2023, 1327 RCTs selected the CDC and/or CCI® to assess morbidity. Annual use was steadily increasing with now over 200 new RCTs per year. However, only a third (n = 335) of published RCTs provided the complete range of CDC grades, including all subgrades. Eighty-nine out of 163 surgeons (response rate: 55%) completed the questionnaire that served as a basis for the recommendations: repetitive interventions that are required to treat one complication, complications followed by further complications, complications occurring before referral, and expected and unrelated complications to the original procedure should all be counted separately and included in the CCI®. Invasive blank diagnostic interventions should not be considered a complication.

Conclusions:
The increasing use of the CDC and CCI® in RCTs highlights the importance of their standardized application. The current consensus on various difficult scenarios may offer novel guidance for the consistent use of the CDC and CCI®, aiming to improve complication reporting and better quality control, ultimately benefiting all health care stakeholders and, first and foremost, all patients.
Interpreting the CTCF-mediated sequence grammar of genome folding with AkitaV2
Authors: Smaruj Paulina N. , Kamulegeya Fahad , Kelley David R. , Fudenberg Geoffrey 
Published: August 2024

AbstractInterphase mammalian genomes are folded in 3D with complex locus-specific patterns that impact gene regulation. CTCF (CCCTC-binding factor) is a key architectural protein that binds specific DNA sites, halts cohesin-mediated loop extrusion, and enables long-range chromatin interactions. There are hundreds of thousands of annotated CTCF-binding sites in mammalian genomes; disruptions of some result in distinct phenotypes, while others have no visible effect. Despite their importance, the determinants of which CTCF sites are necessary for genome folding and gene regulation remain unclear. Here, we update and utilize Akita, a convolutional neural network model, to extract the sequence preferences and grammar of CTCF contributing to genome folding. Our analyses of individual CTCF sites reveal four predictions: (i) only a small fraction of genomic sites are impactful, (ii) insulation strength is highly dependent on sequences flanking the core CTCF binding motif, (iii) core and flanking sequences are broadly compatible, and (iv) core and flanking nucleotides contribute largely additively to overall strength. Our analysis of collections of CTCF sites make two predictions for multi-motif grammar: (i) insulation strength depends on the number of CTCF sites within a cluster, and (ii) pattern formation is governed by the orientation and spacing of these sites, rather than any inherent specialization of the CTCF motifs themselves. In sum, we present a framework for using neural network models to probe the sequences instructing genome folding and provide a number of predictions to guide future experimental inquiries.Author SummaryMammalian genomes are spatially organized in 3D with profound consequences for all processes involving DNA. CTCF is a key genome organizer, recognizing numerous sites and creating a variety of contact patterns across the genome. Despite the importance of CTCF, the sequence determinants and grammar of how individual sites collectively instruct genome folding remain unclear. This work leverages the ability of Akita, a deep neural network, to make high-throughput predictions for genome folding after DNA sequence perturbations. Using Akita, we make several experimentally testable predictions. First, only a minority of annotated sites individually impact folding, and flanking DNA sequences greatly modulate their impact. Second, multiple sites together influence folding based on their number, orientation, and spacing. In sum, we provide a roadmap for interpreting neural networks to better understand genome folding and important considerations for the design of experiments.
Mechanical optimization of skateboard pumping
Authors: Kogelbauer Florian , Koyama Shinsuke , Callan Daniel E. , Shinomoto Shigeru 
Published: August 2024

Skateboarders perform a reciprocating motion on a curved ramp, called pumping, by moving their bodies up and down perpendicular to the ramp surface. We propose a simple mechanical model for this pumping motion and solve the equation of motion explicitly in angular coordinates. This allows us to derive an optimal control strategy to maximize amplitude by dynamically adjusting the center of mass of the skateboarder. This optimal strategy is compared to experimental results for the motion of a skilled and an unskilled skateboarder in a half-pipe, validating that a skilled skateboarder follows the optimal control strategy more closely.

Published by the American Physical Society
2024
When R&D investment improves firm value: the role of board gender diversity
Authors: Kyaw Khine , Khatri Ishwar , Treepongkaruna Sirimon 
Published: August 2024

Purpose
Agency theory postulates that research and development (R&D) investments are subject to managerial discretion and thus may not enhance firm value as expected. The inconclusive empirical findings in the literature is a testament of that. This paper aims to investigate the interplay between board gender diversity (i.e. women on boards) and value relevance of firms’ effort to innovate as indicated by firms’ R&D investments.

Design/methodology/approach
Through a sample of 1,626 US-listed firms from the period 2004 to 2019, the authors examine whether board gender diversity promotes or hampers value relevance of firms’ efforts to innovate. The authors use ordinary least squares as the baseline model and address potential endogeneity through instrumental variable two-stage least square, and selection bias through Heckman selection model. Finally, the authors use the financial crisis of 2008 as a natural experiment to investigate the effect of board gender diversity during the crisis period.

Findings
The results show that board gender diversity positively moderates the relation between R&D and firm value. In times of financial crisis, R&D does not destroy firm value in firms with gender diverse board. The results are robust to measurement error, endogeneity issue, particularly simultaneity and selection bias.

Practical implications
The findings in this study have several practical implications. Firms that invest heavily in R&D should be mindful of gender diversity in their board recruitment strategies to enhance innovation outputs and firm value. Current and potential investors (i.e. shareholders) should take into consideration board gender diversity in their investment decision-making processes as the results show that gender diverse boards promote more effective governance, which, in turn, leads to better alignment of R&D investments with shareholder value. Regulators aiming to improve corporate governance policies should encourage gender diversity on the boards. The results align with global initiatives such as the United Nations Sustainable Development Goals, particularly Goal 5 on gender equality. Policymakers may use the findings in this study to advocate for more gender diverse governance structures within corporations.

Originality/value
This study investigates the role gender diverse boards play in creating value from firms’ R&D activities.
Tell me what to do first: how behavioural skills drive users’ intention to adopt online health information
Authors: Tang Zhenyi , Zhang Pengyi , Li Yujia , Hansen Preben 
Published: August 2024

Purpose
To gain a deeper understanding of users’ health information adoption and to promote the effectiveness of health information spread in the context of online limited information, this paper aims to examine how the information-motivation-behavioural (IMB) skills model can be used to organize online health information by experimenting how different IMB elements (information, motivation and behavioural skills) affect users’ intention to adopt health information.

Design/methodology/approach
The authors conducted an experiment with 48 participants who received health articles with various combinations and sequences of IMB elements, analysing the impact on information adoption intention to share and practice. The authors also examined the mediation effect of information usefulness and the moderating effect of perceived health status.

Findings
The authors found that: users’ adoption intention of information was influenced by the order of used IMB elements, not the number of elements used; users were more likely to adopt information that started with behavioural skills rather than the model-prescribed IMB sequence; and perceived usefulness mediated the relationship between IMB elements and users’ adoption intention, which means users with different levels of health status all pay more attention to information usefulness and practicability.

Originality/value
The study contributes to research on health communication by showing how the IMB model can be applied online to enhance the effectiveness of health information dissemination. It can also help online health communities arrange more effective and engaging health messages to promote users’ willingness to adopt.
Demystifying youth’s play intention of multiplayer online mobile game: an UTAUT3 model perspective
Authors: Gupta Saurabh , Mathur Nidhi , Priyanka Priyanka 
Published: August 2024

Purpose
The primary objective of this study is to identify and examine the effects of the various determinants of the unified theory of acceptance and use of technology (UTAUT3) model on multiplayer online mobile games (MPOMGs) adoption and actual play behaviour of young gamers.

Design/methodology/approach
The research used an online survey method to collect data from a sample of 685 Indian youth. The participants were selected using a convenience sampling procedure. Structural equation modelling technique was used to evaluate the sufficiency and structural relationship between the various dimensions of the UTAUT3 model in the context of MPOMG.

Findings
The findings of the study indicate that the dimensions of “Price Value” and “Facilitating Condition” did not show a significant relationship with the play intention of MPOMG among youth. However, the newly introduced dimension, “Personal Innovativeness,” was found to have a significant impact on predicting the play intention of MPOMG.

Research limitations/implications
This study was limited to young Indian gamers. Therefore, future study is needed to analyse across cultures and regions. Moreover, this study contributes to the existing scholarly literature on the implementation of a newly established technological framework, namely, UTAUT3, in the context of MPOMG research. Hence, this study offers a fresh viewpoint for comprehending the youth’s inclination towards MPOMG. Additionally, various determinants the affects the MPOMG adoption and play behaviour is highly relevant for industry managers and game developers to create MPOMG, that are more likely to attract and retain users, leading to increased levels of engagement and success.

Originality/value
UTAUT3 is a novel framework to determine the technology adoption in a different context. UTAUT3 model is still unexplored and adopted in MPOMG play intention research. Therefore, this study provides a novel perspective to understand the youth’s intention to play the MPOMG in the newly developed technology adoption model perspective.
Unveiling the impact of the congruence between artificial intelligence and explorative learning on supply chain resilience
Authors: Dai Jing , Geng Ruoqi , Xu Dong , Shangguan Wuyue , Shao Jinan 
Published: August 2024

PurposeDrawing upon socio-technical system theory, this study intends to investigate the effects of the congruence and incongruence between artificial intelligence (AI) and explorative learning on supply chain resilience as well as the moderating role of organizational inertia.Design/methodology/approachUsing survey data collected from 170 Chinese manufacturing firms, we performed polynomial regression and response surface analyses to test our hypotheses.FindingsWe find that the congruence between AI and explorative learning enhances firms’ supply chain resilience, while the incongruence between these two factors impairs their supply chain resilience. In addition, compared with low–low congruence, high–high congruence between AI and explorative learning improves supply chain resilience to a greater extent. Moreover, organizational inertia attenuates the positive influence of the congruence between AI and explorative learning on supply chain resilience, while it aggravates the negative influence of the incongruence between these two factors on supply chain resilience.Originality/valueOur study expands the literature on supply chain resilience by demonstrating that the congruence between a firm’s AI (i.e. technical aspect) and explorative learning (i.e. social aspect) boosts its supply chain resilience. More importantly, our study sheds new light on the role of organizational inertia in moderating the congruent effect of AI and explorative learning, thereby extending the boundary condition for socio-technical system theory in the supply chain resilience literature.
Dynamic grey relational analysis-based supplier selection in a health-care unit
Authors: Chakraborty Santonab , Raut Rakesh D. , Rofin T.M. , Chakraborty Shankar 
Published: August 2024

Purpose
In the present-day highly customer-conscious service environment, supply chain management has become a critical component of health-care industry, helping in fulfilling patient expectation, optimizing inventory and automating departmental activities. Supplier selection is one of the crucial elements of health-care supplier chain, establishing mutually beneficial relationships with the reliable suppliers that provide the most value of money. Health-care supplier selection with feasible sets of alternatives and conflicting criteria can be treated as a multi-criteria decision making (MCDM) problem. Among the MCDM methods, grey relational analysis (GRA) appears as a potent tool due to its simple computational steps and ability to deal with imprecise data. The purpose of this paper is to explore the applicability of a newly developed MCDM tool for solving a health-care supplier selection problem.

Design/methodology/approach
In GRA, the distinguishing coefficient (ξ) plays a contributive role in final ranking of the alternative suppliers and almost all the past researchers have considered its value as 0.5. In this paper, a newly developed MCDM tool, i.e. dynamic GRA (DGRA), is adopted to evaluate the relative performance of 25 leading pharmaceutical suppliers for a health-care unit based on nine important financial metrics. Instead of static value of ξ, DGRA treats it as a dynamic variable dependent on grey relational variator and ranks the health-care suppliers using their computed rank product scores.

Findings
Based on rank product scores and developed exponential curve, DGRA classifies all the suppliers into reliable, moderately reliable and unreliable clusters, helping the health-care unit in identifying the best performing suppliers for subsequent order allocation. Among the reliable suppliers, alternatives A2 and A11 occupy the top two positions having almost the same performance with respect to the considered financial metrics.

Originality/value
Application of DGRA along with determination of the most reliable suppliers would help in effectively adopting multi-sourcing strategy to increase resilience while diversifying the supply portfolio, thereby enabling the health-care unit to minimize chances of sudden disruption in the supply chain. It can act as an intelligent decision-making framework aiding in solving health-care supplier selection problems considering perceived risks and dynamic input data.
Constant or inconstant? The time-varying effect of danmaku on user engagement in online video platforms
Authors: Yuan Haixia , Lu Kevin , Ausaf Ali , Zhu Mohan 
Published: August 2024

PurposeAs an emerging video comment feature, danmaku is gaining more traction and increasing user interaction, thereby altering user engagement. However, existing research seldom explores how the effectiveness of danmaku on user engagement varies over time. To address this research gap, this study proposes a comprehensive framework drawing on social presence theory and information overload theory. The framework aims to explain how the effectiveness of danmaku in increasing user engagement changes over shorter time intervals.Design/methodology/approachA research model was proposed and empirically tested using data collected from 1,019 movies via Bilibili.com, one of China’s most popular danmaku video platforms. A time-varying effect model (TVEM) was used to examine the proposed research model.FindingsThe study finds that the volume of danmaku and its valence exert a time-varying influence on user engagement. Notably, the study shows that danmaku volume plays a more substantial role in determining user engagement than danmaku valence.Originality/valueThis research offers theoretical insights into the dynamic impact of danmaku on user engagement. The innovative conceptualization and measurement of user engagement advance research on pseudo-synchronous communication engagement. Furthermore, this study offers practical guidelines for effectively managing danmaku comments on online video platforms.
Corporate governance impact on risk disclosure inShariah-compliant financial firms of Kuwait
Authors: Alajmi Abdullah E. , Al-Shammari Bader A. 
Published: August 2024

PurposeThis study aims to investigate the relationship between corporate governance characteristics and risk disclosure inShariah-compliant financial firms operating in Kuwait. It aims to provide insights into the factors influencing risk disclosure practices within these institutions.Design/methodology/approachThe research used manual content analysis to quantify risk disclosure levels in the annual reports of 47Shariah-compliant financial companies listed in Kuwait in 2020. Subsequently, multiple regression analysis was conducted to assess the impact of various corporate governance factors on the extent of risk disclosure.FindingsThe study reveals that while KuwaitiShariah-compliant firms exhibit limited risk disclosure in their annual reports, larger boards and committees, along with a higher number of independent directors, positively influence the level of risk disclosure. Interestingly, the size of the Shariah supervisory boards did not show a significant impact on risk disclosure practices.Practical implicationsThese findings hold regulatory implications for Kuwait, highlighting the need to ensure information adequacy and promote market efficiency. Additionally, they offer practical insights for managers and investors seeking to optimize fund sourcing and diversify investment portfolios within the context ofShariah-compliant financial institutions.Originality/valueThis study contributes to the existing literature by providing empirical evidence on the relationship between corporate governance characteristics and risk disclosure in the specific context ofShariah-compliant financial firms operating in Kuwait. Furthermore, it identifies avenues for future research to delve into the influence of additional governance factors on risk disclosure practices within this unique financial landscape.