bluuebunny/crossref_metadata_2025_split huggingface dataset:
Method of combining multiple researches to determine non-infectious disease causes. Analysis of Depression and Celiac disease causes
Authors: Olan Alan 
Published: December 2023

ABSTRACTIn this work an author is introducing a method which using a special algorithm based in math, allows to find disease causes for a specific non-infectious disease using results of multiple researches regarding risk factors of the disease. The method is based on a model presented in the article“A Connection between Factors Causing Diseases and Diseases Frequencies: Its Application in Finding Disease Causes” (Alan Olan,Journal of Clinical Trials, Vol.13, Issue 4.) which is confirmed by empirical data. As explained in the article mentioned above, a non-infectious disease is caused by a combination of few physiological parameters changes beyond 1-sigma interval which are existing at the same time. In the current article author explains a foundation of the method and then shows a practical way to use it. Using this method author further analyses Depression and Celiac diseases and as a result the work gives the causes of these diseases as a set ofphysiological parameters changes beyond 1-sigmainterval and also as a set of disease causing external factors which combination in an individualmust cause these diseases as per presented model. Using the method an author shows why Depression has 2 causes and Celiac Disease has 6 causes. Author’s introduction to the method will allow other medical researchers to use their own and existing researches to determine the causes of non-infectious diseases as per presented model, using a simple algorithm.
In vivoPSC differentiation as a platform to identify factors for improving the engraftability of cultured muscle stem cells
Authors: Xie Ning , Robinson Kathryn , Sundquist Timothy , Chan Sunny S. K. 
Published: December 2023

AbstractProducing an adequate number of muscle stem cells (MuSCs) with robust regenerative potential is essential for the successful cell therapy of muscle-wasting disorders. We have recently developed a method to produce skeletal myogenic cells with exceptional engraftability and expandability through anin vivopluripotent stem cell (PSC) differentiation approach. We have subsequently mapped engraftment and gene expression and found that leukemia inhibitory factor receptor (Lifr) expression is positively correlated with engraftability. We therefore investigated the effect of LIF, the endogenous ligand of LIFR, on cultured MuSCs and examined their engraftment potential. We found that LIF-treated MuSCs exhibited elevated expression of PAX7, formed larger colonies from single cells, and favored the retention of PAX7+“reserve cells” upon myogenic differentiation. This suggested that LIF promoted the maintenance of cultured MuSCs at a stem cell stage. Moreover, LIF enhanced the engraftment capability of MuSCs that had been expandedin vitrofor 12 days by 5-fold and increased the number of MuSCs that repopulated the stem cell pool post-transplantation. These results thereby demonstrated the effectiveness of ourin vivoPSC differentiation platform to identify positive regulators of the engraftability of cultured MuSCs.
Entity recognition in the field of coal mine construction safety based on a pre-training language model
Authors: Xu Na , Liang Yanxiang , Guo Chaoran , Meng Bo , Zhou Xueqing , Hu Yuting , Zhang Bo 
Published: December 2023

PurposeSafety management plays an important part in coal mine construction. Due to complex data, the implementation of the construction safety knowledge scattered in standards poses a challenge. This paper aims to develop a knowledge extraction model to automatically and efficiently extract domain knowledge from unstructured texts.Design/methodology/approachBidirectional encoder representations from transformers (BERT)-bidirectional long short-term memory (BiLSTM)-conditional random field (CRF) method based on a pre-training language model was applied to carry out knowledge entity recognition in the field of coal mine construction safety in this paper. Firstly, 80 safety standards for coal mine construction were collected, sorted out and marked as a descriptive corpus. Then, the BERT pre-training language model was used to obtain dynamic word vectors. Finally, the BiLSTM-CRF model concluded the entity’s optimal tag sequence.FindingsAccordingly, 11,933 entities and 2,051 relationships in the standard specifications texts of this paper were identified and a language model suitable for coal mine construction safety management was proposed. The experiments showed that F1 values were all above 60% in nine types of entities such as security management. F1 value of this model was more than 60% for entity extraction. The model identified and extracted entities more accurately than conventional methods.Originality/valueThis work completed the domain knowledge query and built a Q&A platform via entities and relationships identified by the standard specifications suitable for coal mines. This paper proposed a systematic framework for texts in coal mine construction safety to improve efficiency and accuracy of domain-specific entity extraction. In addition, the pretraining language model was also introduced into the coal mine construction safety to realize dynamic entity recognition, which provides technical support and theoretical reference for the optimization of safety management platforms.
A TOPSIS-based framework for construction projects’ portfolio selection in the public sector
Authors: Nascimento Cláudia Rafaela Saraiva de Melo Simões , Almeida-Filho Adiel Teixeira de , Perez Palha Rachel 
Published: December 2023

PurposeThis paper proposes selecting a construction project portfolio in the context of a public institution, which makes it possible to assess quantitative and qualitative criteria, thereby meeting the needs of the institution and the existing constraints.Design/methodology/approachThe research design follows a framework using technique for order preference by similarity to ideal solution (TOPSIS) associated with integer linear programming.FindingsThe method involves a flow of assessments allowing criteria and weights to be elicited where outcomes are based on the experts' intra-criteria assessment of alternatives and decision-makers' inter-criteria assessment. This is of utmost interest to public organizations, where selections must result in benefits and lower costs, integrating the experts' technical and management perspectives.Social implicationsPublic institutions are characterized by having limited financial and personnel resources for project development despite having a high demand for requests not associated with profits, making it essential to have a framework that enables using multiple criteria to better evaluate the benefits related to these decisions.Originality/valueThe main contributions of this article are: (1) the proposition of a framework for selecting construction project portfolios considering the organization's strategic needs; (2) identifying quantitative and qualitative assessment criteria for project selection; (3) integrating TOPSIS with an optimization process for selecting the construction project portfolios and (4) providing a structured decision process for selecting the portfolio that best represents the interests of the institution within its limited resources and personnel.
Do institutional investors affect corporate governance through proxy voting and shareholder activism? Evidence from India
Authors: Ganie Irfan Rashid , Haldar Arunima , Wani Tahir Ahmad , Manuj Hemant 
Published: December 2023

Purpose
This study aims to examine the role of institutional investors (using proxy voting and voice) in influencing the decisions and governance landscape of their investee firms.

Design/methodology/approach
The authors use exploratory research design due to the underdevelopment of the problem phenomena, especially in the context of emerging economies. Using asset management companies (AMC) as a proxy for institutional investors, the authors use a multiple case study design. This design was relevant in the setting as it assured triangulation by studying the same phenomenon across firms with distinct characteristics. The authors sourced the data for the multiple cases from primary sources (such as semi-structured interviews) and secondary sources (such as official Webpages and social media pages of AMC and examination of archival documents). Finally, the authors used qualitative content analysis to analyse the data.

Findings
The findings suggest that shareholder activism by institutional investors has grown in India over the period, particularly in matters related to corporate governance, related party transactions, remuneration and compensation. These AMC in India use proxy voting services for advising on voting resolutions in their investee companies. However, voting by AMC does not generally affect resolution results. This is particularly true in the presence of a high concentration of promoter holdings in investee companies.

Originality/value
The study is a novel attempt in an emerging market context to explore the role of institutional investors in influencing firm decisions and improving the governance landscape of the company using proxy voting and voice. This is especially important as the institutional framework in emerging markets is not as strong as in developed markets.
Engaging elementary students in data science practices
Authors: Adisa Ibrahim Oluwajoba , Herro Danielle , Abimbade Oluwadara , Arastoopour Irgens Golnaz 
Published: December 2023

Purpose
This study is part of a participatory design research project and aims to develop and study pedagogical frameworks and tools for integrating computational thinking (CT) concepts and data science practices into elementary school classrooms.

Design/methodology/approach
This paper describes a pedagogical approach that uses a data science framework the research team developed to assist teachers in providing data science instruction to elementary-aged students. Using phenomenological case study methodology, the authors use classroom observations, student focus groups, video recordings and artifacts to detail ways learners engage in data science practices and understand how they perceive their engagement during activities and learning.

Findings
Findings suggest student engagement in data science is enhanced when data problems are contextualized and connected to students’ lived experiences; data analysis and data-based decision-making is practiced in multiple ways; and students are given choices to communicate patterns, interpret graphs and tell data stories. The authors note challenges students experienced with data practices including conflict between inconsistencies in data patterns and lived experiences and focusing on data visualization appearances versus relationships between variables.

Originality/value
Data science instruction in elementary schools is an understudied, emerging and important area of data science education. Most elementary schools offer limited data science instruction; few elementary schools offer data science curriculum with embedded CT practices integrated across disciplines. This research assists elementary educators in fostering children's data science engagement and agency while developing their ability to reason, visualize and make decisions with data.
Level of students' academic integration in the physical environment of the classroom
Authors: Al-Tkhayneh Khawlah M. 
Published: December 2023

Purpose This study aimed to identify the level of students' academic integration in the physical environment of the classroom.Design/methodology/approach This study used an experimental approach. The study sample consisted of 60 students, who were divided into an experimental group (n = 30) and a control group (n = 30) in two classrooms (classes 9 and 13). To verify the equivalence of the two groups, an ANOVA test was performed to determine the level of academic integration, and identify any statistically significant differences between the two groups before separating them and controlling all the other variables, except for the classroom environment variable.Findings The results revealed no statistically significant differences in the mean of pre-application academic integration. Ten days later, the lecturer explained the topic within the academic course and redistributed the scale of academic integration. The results of the second application revealed differences in the average mean of academic integration in favour of the experimental group (class 13). To identify statistically significant differences, a t-test was used for independent samples. The results showed statistically significant differences in the level of academic integration of the experimental group attributed to the variable of physical environment in favour of class 13.Originality/valueThis study recommend to proposing future physical learning environments in classrooms by improving physical aspects. These new learning environments can enhance the cooperation between teachers and students, allow for easier conveyance of ideas and promote students' ability to solve problems more effectively. The use of Metaverse technology in education may create an appropriate virtual physical environment that solves the problem of the physical environment and raises the level of academic integration of students.
Entrepreneurial mindset and family business performance: the United Arab Emirates perspectives
Authors: Ramadani Veland , Alkaabi Khaula Abdulla , Zeqiri Jusuf 
Published: December 2023

Purpose
This study aims to investigate the impact of entrepreneurial mindsets on the performance of family businesses in the United Arab Emirates (UAE). This study focused on the following entrepreneurial mindset factors: alertness to opportunity, ambiguity tolerance, dispositional optimism and risk-taking propensity.

Design/methodology/approach
A partial least squares structural equation modeling was used to evaluate the proposed research model. The gathered data consisted of 321 family businesses that operate in the UAE.

Findings
Findings showed that only two of the entrepreneurial mindset factors had a significant and positive impact on the firm’s performance, namely, alertness to opportunity and dispositional optimism.

Originality/value
This paper covers a research gap by reflecting the effect of the entrepreneurial mindset in an unstudied context, such as the UAE. To the best of the authors’ knowledge, this is the only study that measures the effect of the dimensions of the entrepreneurial mindset on the performance of family businesses in the UAE, and as such, it represents an additional value to the literature in this field.
Adopting sustainability business models for value creation and delivery: an empirical investigation of manufacturing firms
Authors: Jagani Sandeep , Deng Xiyue , Hong Paul C. , Mashhadi Nejad Narges 
Published: December 2023

PurposeThis paper examines the role of a sustainability business model in clarifying a firm's sustainability value articulation (SVA) to achieve sustainability outcomes and examining the moderating role of supplier involvement practices SIP and technology systems integration (TSI) in attaining sustainability outcomes.Design/methodology/approachDrawing upon the foundational principles of business model innovation, specifically articulation and implementation, the authors formulated a theoretical construct and empirically validate it through analysis of data collected from 692 manufacturing firms dispersed across 23 countries.FindingsThe research shows that focusing on SVA significantly improves how a company implements sustainability efforts internally (ISI) and externally (ESI), leading to better social and environmental outcomes. It also highlights that SIP improve the relationship between SVA, ESI and ISI. Similarly, TSI boosts the effect of internal and external sustainability efforts on both social (SOP) and environmental performance (EnP).Research limitations/implicationsWhile acknowledging the inherent constraints of survey-based research methodologies, this study offers a theoretical and verified approach for manufacturers to achieve comprehensive sustainability. It emphasizes the need for clear, actionable sustainability goals that can be met through both internal operations and external partnerships.Practical implicationsThis study clarifies how manufacturers can implement sustainable business models, emphasizing the importance of clear sustainability goals and initiatives both within and outside the company. It highlights the dual aspects of supplier engagement through operational tactics (ESI) and strategic collaborations (SIP).Social implicationsThis study reveals a thrilling truth: when companies champion clear sustainability goals, they unlock powerful strategies that revolutionize practices within their walls and in their external dealings. It is not just about going green; it is about weaving financial prosperity, social responsibility and environmental stewardship into the very fabric of their business models. But there is more – by cleverly engaging suppliers and harnessing cutting-edge technology, companies are not just participants in the green revolution; they are leading it, crafting a world where business thrives alongside the planet and its people.Originality/valueThis research stands out for its empirical analysis of how manufacturing firms implement sustainability innovations at the plant level, an area previously underexplored despite extensive theoretical work on sustainability-centric business models.
Exploring power strategies for transformation in a service-ecosystem
Authors: Hogg Johannes 
Published: December 2023

PurposeThe paper covers the topic of power strategies between actors and the interplay between the service ecosystem and the actor(s), and vice versa. The paper addresses the lack of conceptual development concerning power considerations beyond dyadic, rigid and role-based models found in general marketing literature. Further, the paper opens the area of power relationships, using the service ecosystem as conceptual framework.Design/methodology/approachThe paper has a systemic and sociological view on service-ecosystems using mainly Giddens' structuration theory. Service-dominant logic literature from 2004 to 2021 is systematically reviewed for power issues and qualitatively analyzed. Mayring's step model of, firstly, inductive and, secondly, deductive category development is applied. Subcategories were identified, subsumed and finally grouped into five categories to increase the level of abstraction.FindingsThe article investigates power considerations and enables marketers to create power through (1) imbalance, to find strategies and counterstrategies for (2) actor's behavior, to understand the (3) actor's embeddedness within a service ecosystem and its dynamic nature, to learn about (4) institutions and actor's institutional work. A set of seven propositions is presented for the conceptualization of power strategies in a service ecosystem.Research limitations/implicationsThe consideration of power on different levels supports both the zooming-in and zooming-out to observe and understand the power phenomena in a service ecosystem. Seven propositions about episodic as well as systemic power relations are presented. Power is conceptualized in service ecosystem as transformative capability of an actor to intervene on institutions and in some way alter them, recognizing that power relations are co-created, dynamic and context-dependent.Practical implicationsThe article recognizes different levels (micro-meso-macro) of power considerations and helps practitioners and marketers to create power through (1) imbalance, find strategies and counterstrategies for (2) actor's behavior, understand the (3) actor's embeddedness within a service ecosystem and its dynamic nature, learn about (4) institutions and actor's institutional work. This enables managers to find an appropriate choice of action in their specific context to transform the service ecosystem(s) they are embedded in.Social implicationsAs all social systems are power systems, a service ecosystem can only be fully understood by integrating the elementary concept of power. As such, power considerations within actor strategies and the service ecosystem are relevant to improve the understanding of transformation of the service ecosystem. Power, in the sense of the transformative capability of actors, changes the social and material world.Originality/valuePower issues are important to understand the “hows” of resource integration in service ecosystems and its transformation or stability.
Beyond the storefront: empirical insights into consumers' responses to omnichannel apparel retailers
Authors: Chen Yini , Chi Ting 
Published: December 2023

Purpose This research investigates apparel consumers' psychological and behavioral responses to omnichannel (OC) integration. Specifically, the study applies the cognitive–affective–conative (CAC) model to reveal consumers' decision-making process under the impact of channel integration quality (CIQ), perceived fluency (PF) and cognitive and affective trust (AT).Design/methodology/approach Primary data were collected through an online survey. In total, 657 eligible responses were received. This study applied partial least square structural equation modeling for data analysis.Findings The findings demonstrate that the extrinsic cognitive factor, CIQ, substantially affects consumers' intrinsic cognition (cognitive trust [CT] and PF), which consequently fosters consumers' AT and shopping intentions. Specifically, integrated promotion and transaction information positively affects CT, while integrated product and price and information access negatively impact CT. All the dimensions of CIQ, except integrated promotion (IP), significantly affect PF. CT and AT exhibit mediation effects in the CAC model.Practical implications Apparel brands and retailers may apply the findings to effectively design their retail channels and implement channel integration to boost consumers' shopping intentions and trust.Originality/value This study is one of the pioneering studies applying the CAC model to empirically examine OC consumers' decision-making process. It is also among the first to determine that cognitive and AT have theoretical distinctions in the OC retailing setting.
Current surgical management for melanoma
Authors: Koizumi Shigeru , Inozume Takashi , Nakamura Yasuhiro 
Published: December 2023

AbstractMelanoma is a major malignant cutaneous neoplasm with a high mortality rate. In recent years, the treatment of melanoma has developed dramatically with the invention of new therapeutic agents, including immune checkpoint inhibitors and molecular‐targeted agents. These agents are available as adjuvant therapies for postoperative patients with stage IIB, IIC, and III melanomas. Furthermore, neoadjuvant therapy has been studied in several global clinical trials and has demonstrated promising and favorable clinical efficacy, mainly in patients with palpable regional lymph nodes. A recent large phase III clinical trial investigating early lymph node dissection for sentinel lymph node metastases demonstrated no survival benefits. Based on these data, surgery should be reconsidered as an appropriate treatment modality for melanoma. The need for invasive surgical procedures will be reduced with the invention of effective adjuvant and neoadjuvant therapies and novel clinical trial data on regional lymph node dissection. However, surgery still plays an important role in treating early‐stage melanoma, accurately determining the disease stage, and effective palliative treatment for advanced melanoma. In this article, we focus on surgery for primary tumors, regional lymph nodes, and metastatic sites in an era of remarkably revolutionary drug treatments for melanoma.