bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydatid hepatopleural fistula causing biliothorax: minimally invasive approach with ERCP stent placement and chest tube drainage: a case report
Authors: Mainali Sumina , Sapkota Prakash , Koirala Prashant , K.C Narendra , Bhandari Meghraj , Neupane Pujan K. 
Published: November 2023

Introduction and importance:
Biliothorax and hydatid bilio-bronchial fistula (HBBF) are rare complications of hydatid cysts of the liver with high perioperative mortality.

Case presentation and clinical discussion:
The authors here report the case of a patient with a right massive pleural effusion with evidence of HBBF in imaging studies, who underwent surgical resection of a hydatid cyst of the liver 8 years ago. The patient was managed with intercostal chest tube drainage for biliothorax and endoscopic sphincterotomy with biliary stent placement for the re-establishment of internal biliary drainage, which ultimately allowed the fistulous tract to heal without any major surgical intervention.

Conclusion:
This article focuses on the successful management of the HBBF at our institution. Our findings emphasize the significance of early diagnosis and the criticality of implementing aggressive and early interventions to minimize complications and fatalities. By examining this specific case and reviewing existing literature, the authors have determined that endoscopic treatment appears to be a viable, secure, and efficacious option for addressing postoperative HBBF.
Behavioral Imitation with Artificial Neural Networks Leads to Personalized Models of Brain Dynamics During Videogame Play
Authors: Kemtur Anirudha , Paugam Francois , Pinsard Basile , Harel Yann , Sainath Pravish , Clei Maximilien Le , Boyle Julie , Jerbi Karim , Bellec Pierre 
Published: November 2023

AbstractVideogames provide a promising framework to understand brain activity in a rich, engaging, and active environment, in contrast to mostly passive tasks currently dominating the field, such as image viewing. Analyzing videogames neuroimaging data is however challenging, and relies on time-intensive manual annotations of game events, based on somewhat arbitrary rules. Here, we introduce an innovative approach using Artificial Neural networks (ANN) and brain encoding techniques to generate activation maps associated with videogame behaviour using functional magnetic resonance imaging (fMRI). As individual behavior is highly variable across subjects in complex environments, we hypothesized that ANNs need to account for subject-specific behavior to properly capture brain dynamics. In this study, we used data collected while subjects played Shinobi III: Return of the Ninja Master (Sega, 1993), an action-platformer videogame. Using imitation learning, we trained an ANN to play the game while closely replicating the unique gameplay style of individual participants. We found that hidden layers of our imitation learning model successfully encoded task-relevant neural representations, and predicted individual brain dynamics with higher accuracy than models trained on other subjects’ gameplay. Individual-specific models also outperformed a number of baselines to predict brain activity, such as pixel inputs, or button presses. The highest correlations between layer activations and brain signals were observed in biologically plausible brain areas, i.e. somatosensory, attention, and visual networks. Our results demonstrate that training subject-specific ANNs can successfully uncover brain correlates of complex behaviour. This new method combining imitation learning, brain imaging, and videogames opens new research avenues to study decision-making and psychomotor task solving in naturalistic and complex environments.
Fine-mapping causal tissues and genes at disease-associated loci
Authors: Strober Benjamin J. , Zhang Martin Jinye , Amariuta Tiffany , Rossen Jordan , Price Alkes L. 
Published: November 2023

AbstractHeritable diseases often manifest in a highly tissue-specific manner, with different disease loci mediated by genes in distinct tissues or cell types. We propose Tissue-Gene Fine-Mapping (TGFM), a fine-mapping method that infers the posterior probability (PIP) for each gene-tissue pair to mediate a disease locus by analyzing GWAS summary statistics (and in-sample LD) and leveraging eQTL data from diverse tissues to build cis-predicted expression models; TGFM also assigns PIPs to causal variants that are not mediated by gene expression in assayed genes and tissues. TGFM accounts for both co-regulation across genes and tissues and LD between SNPs (generalizing existing fine-mapping methods), and incorporates genome-wide estimates of each tissue’s contribution to disease as tissue-level priors. TGFM was well-calibrated and moderately well-powered in simulations; unlike previous methods, TGFM was able to attain correct calibration by modeling uncertainty in cis-predicted expression models. We applied TGFM to 45 UK Biobank diseases/traits (averageN= 316K) using eQTL data from 38 GTEx tissues. TGFM identified an average of 147 PIP > 0.5 causal genetic elements per disease/trait, of which 11% were gene-tissue pairs. Implicated gene-tissue pairs were concentrated in known disease-critical tissues, and causal genes were strongly enriched in disease-relevant gene sets. Causal gene-tissue pairs identified by TGFM recapitulated known biology (e.g.,TPO-thyroid for Hypothyroidism), but also included biologically plausible novel findings (e.g.,SLC20A2-artery aorta for Diastolic blood pressure). Further application of TGFM to single-cell eQTL data from 9 cell types in peripheral blood mononuclear cells (PBMC), analyzed jointly with GTEx tissues, identified 30 additional causal gene-PBMC cell type pairs at PIP > 0.5—primarily for autoimmune disease and blood cell traits, including the biologically plausible example ofCD52in classical monocyte cells for Monocyte count. In conclusion, TGFM is a robust and powerful method for fine-mapping causal tissues and genes at disease-associated loci.
The influence of the sustainable development goals on large companies’ adoption and implementation of a broader corporate purpose
Authors: Sasaki Kyoko , Stubbs Wendy , Farrelly Megan 
Published: November 2023

Purpose
This paper aims to understand whether, and if so how, the United Nations’ Sustainable Development Goals (SDGs) influence large companies’ adoption and implementation of a broader corporate purpose, beyond profit maximization.

Design/methodology/approach
Adopting a multiple-case study method, data were collected from semi-structured interviews with 28 managers from 16 large companies in Australia and Japan, and from secondary sources. Grounded theory methods were used to analyze the data and draw out key findings.

Findings
The study revealed the influence of the SDGs on corporate purpose depends on the SDG integration level: where and how the SDGs are integrated into management practices. The influence was more significant when the companies implemented the SDGs at a normative level compared to those implementing the SDGs at a strategic and/or operational level.

Research limitations/implications
Due to the exploratory nature of the study, the sample size is limited and covers only companies in two countries. Future studies could examine the validity of the findings and the explanatory model by testing with a larger sample and expanding the scope into different countries. The study provides practical implications on how large companies’ could scale up their contributions to achieving the SDGs.

Originality/value
While the extant literature suggests a simple relationship between sustainability (the SDGs) and corporate purpose, this paper identified a more complex relationship. It presents in a multi-pathway model that explains the relationship, based on empirical evidence from 16 large companies in two different institutional contexts.
Data literacy education through university-industry collaboration
Authors: Taş Eylem 
Published: November 2023

Purpose
This study aims to explore the findings related to data literacy skills for students to succeed in the digital age labor market and the role of university-industry collaborations (UICs) in the co-design and co-delivery of curriculum for the development of students’ data literacy.

Design/methodology/approach
The study uses an interview-based research methodology to gather insights from industry partners and stakeholders. The interviews focus on identifying key data literacy skills, understanding the significance of these skills and exploring the role of UICs in enhancing students’ data literacy.

Findings
The findings reveal several important data literacy skills for students. The most commonly mentioned skills include data evaluation/analysis, identifying the relevance of data and data protection in a sensitive manner. Participants also emphasized the importance of recognizing the interrelationships among data, adapting data across different contexts and strategically combining diverse data. The study emphasizes the role of universities in providing a well-rounded educational setting that fosters the development of data literacy skills. Additionally, it highlights the value of practical collaborations between universities and industries, enabling students to apply theoretical knowledge in real-world contexts.

Originality/value
The study highlights the interconnected nature of various data skills and emphasizes the significance of data literacy in navigating the complexities of the digital age labor market. It also sheds light on the role of UICs in codesigning and codelivering curricula to enhance students’ data literacy. The findings provide valuable insights into the practical implications for UICs in preparing students for the data-driven job market.
What is optimal integrated multi-agency Throughcare? A global e-Delphi consensus study defining core components of effective rehabilitation and reintegration programming
Authors: Van Hout Marie Claire , Madroumi Reda , Hoey Wendy , Uhaa Sylvester , Severin Peter , Calder Ivan 
Published: November 2023

PurposeThe study aimed to identify and define core components of Throughcare. The global prison population has reached its highest level to date (11.5 million), with comparative data on recidivism unavailable. Despite the global shift away from punitive and towards rehabilitative approaches, reintegration programming (Throughcare) is limited, ill-resourced or non-existent in many countries.Design/methodology/approachThis study conducted a global e-Delphi consensus study of professionals working in prison and correctional services to define critical components of effective rehabilitation and reintegration programming. Consensus was defineda priorias 70% or more participants scoring an outcome from 7 to 9 and fewer than 15% scoring it 1 to 3.FindingsFollowing a call for expression of interest circulated to the International Corrections and Prisons Association member list (n= 7282), 175 members agreed to partake in the e-Delphi rounds. In Round One, 130 individuals completed an online survey where 35 statements were scored by importance, each with opportunity to provide written feedback. A total of 33 statements exceeded the set threshold of consensus. Written feedback supported refinement and further development of statements in Round Two. A total of 108 individuals completed Round Two. A total of 39 out of the 40 statements exceeded the set threshold of consensus.Practical implicationsConsensus statements are useful to provide a shared understanding for inter-agency Throughcare partnerships, to inform national prison policies and to expand prison and support staff capacity building and programmes all over the world.Originality/valueTo the best of the authors’ knowledge, to date, this is the first known attempt to elicit consensus from a broad range of professionals working in the field of prison and correctional services on core components of effective rehabilitation and reintegration programming.
Gatekeeping structures and trust development in public sector organizations
Authors: Norkin Svetlana , Byström Katriina 
Published: November 2023

PurposeThis paper aims to examine the interaction between gatekeeping and trust in a public sector organization, where employees at lower hierarchical levels are expected to autonomously translate and transform directives into public services. This requires them to have access to operational steering information, i.e. information about directives and how to interpret and apply them. This study focuses on how gatekeeping structures regulate flows of operational steering information and how the gatekeeping structures affect the development of trust.Design/methodology/approachThe research design is qualitative. The data material consisted of semi-structured interviews with 26 employees in home care and schools and of eight complementary nonparticipant observations. Thematic analysis revealed the presence of static and dynamic gatekeeping structures, which are characterized by fixed and variable arrangements of information sources and channels, respectively.FindingsIn static gatekeeping structures, managers or domain experts typically act as gatekeepers, and employees also perform gatekeeping activities collectively. Gatekeeping structures allow employees to switch between acting as gatekeepers and being gated, depending on the situation. The results show that gatekeeping structures for intermediation of operational steering information may support or impede employees' work, thus affecting their trust in their peers and their work organization.Research limitations/implicationsAlthough the present study included both interviews and observations, these primarily occurred within scheduled and prearranged activities rather than capturing the nuances of the typical daily work of teachers and home care employees. As a result, certain perspectives may have been unintentionally omitted.Practical implicationsThe participants were recruited through the City of Oslo contact people, which may have impacted their status or perception in some way. Moreover, the study was conducted in the City of Oslo, a specific organization with its own unique set of values, norms and processes. The trust-based management in the City of Oslo is likely not representative of all public sector organizations.Originality/valueThis study contributes conceptually by introducing gatekeeping structures and operational steering information and empirically by providing evidence of their relationship to trust development in public service delivery. Thus, it contributes to the research fields of information management and public administration.
Assessing critical barriers and success factors of PPP projects in emerging economies: a case of Vietnam
Authors: Nguyen Hung Duy , Nguyen Tuan Anh , Doan Vi Vu , Dang Chau Ngoc 
Published: November 2023

Purpose
Public–private partnership (PPP) projects play a pivotal role in fostering infrastructure development in developing countries. This study aims to identify major barriers and critical success factors (CSFs) for PPP projects in Vietnam.

Design/methodology/approach
The study initially conducted an extensive literature review and interviewed industry experts to compile a comprehensive list of barriers and success factors. Subsequently, a survey involving 250 construction professionals was conducted to assess these identified factors. The research used both ANOVA test and hierarchical regression analysis to explore the relationship between participants’ characteristics and assessments.

Findings
The results could provide a valuable reference for practitioners by assessing barriers and CSFs in PPP projects. Specifically, the ANOVA analysis indicated a positive correlation between barrier assessment and participants’ experience, while the influence of participants’ sector on the evaluation was minor. Furthermore, the hierarchical regression analysis demonstrated that participants’ sector did not moderate the relationship between barrier assessment and industry experience.

Originality/value
This research contributes to the existing literature by offering empirical insights into barriers and CSFs specific to PPP projects in a developing country context. The findings highlight the crucial role of experienced professionals in ensuring PPP project success. Moreover, the study provides construction practitioners with a better understanding of the essential factors and supports the development of effective management strategies for future PPP projects.
Written communication and energy transfer to fix a dysfunctional team: a case study in conflict resolution in an educational institution
Authors: Rai Pratibha , Gupta Priya , Parewa Bhawna 
Published: November 2023

PurposeTask conflict and relationship conflict are common in organizations. This paper aims to present a unique case of the use of the targeted conflict-resolution technique. The revival of positive group dynamics is aptly shown.Design/methodology/approachThis descriptive case study is developed as a practice insight to showcase how a peculiar case of misunderstanding is resolved in the most unconventional way through the intervention of a mediator who unearths the real cause of contention. The mediator works through logic and emotion to remove negativity. Narration, a necessary component of the case study approach, peeps into the research subject involving flashbacks, flash forward, backstories and foreshadowing. The mediator uses reframing as a tool very efficiently, encouraging the people in conflict to understand the nothingness in their cold war and eventually prompting them to collaborate and compromise.FindingsThe shifts in communication dynamics post-mediator’s intervention are subtle and full of wisdom, encouraging introspection and constructive interaction, eventually bridging the differences. The possibility of achieving a state of homeostasis in the future magnifies. The belief in the power of affirmation and manifestation is validated. The heavy, difficult, hardened negativity loses ground and gets transformed.Social implicationsConversation/prayers at the deepest level in several meetings are the communication tools that have immense social relevance in the Indian context.Originality/valueA unique combination of intermediation encompassing written communication and energy transformation is adopted to resolve ongoing conflict by stroking the positive psychology of the partakers. To some, the method may appear to have a spiritual connotation.
Composite property price index forecasting with neural networks
Authors: Xu Xiaojie , Zhang Yun 
Published: November 2023

PurposeThe Chinese housing market has gone through rapid growth during the past decade, and house price forecasting has evolved to be a significant issue that draws enormous attention from investors, policy makers and researchers. This study investigates neural networks for composite property price index forecasting from ten major Chinese cities for the period of July 2005–April 2021.Design/methodology/approachThe goal is to build simple and accurate neural network models that contribute to pure technical forecasts of composite property prices. To facilitate the analysis, the authors consider different model settings across algorithms, delays, hidden neurons and data spitting ratios.FindingsThe authors arrive at a pretty simple neural network with six delays and three hidden neurons, which generates rather stable performance of average relative root mean square errors across the ten cities below 1% for the training, validation and testing phases.Originality/valueResults here could be utilized on a standalone basis or combined with fundamental forecasts to help form perspectives of composite property price trends and conduct policy analysis.
The impact of managerial psychological characteristics on the supply chain management efficiency
Authors: Arianpoor Arash , Lamloom Imad Taher , Moghaddampoor Bita , Khayoon Hameed Mohsin , Zaidan Ali Shakir 
Published: November 2023

PurposeThe present study investigates the impact of managerial psychological characteristics on the supply chain management efficiency (SCME) of companies listed in Tehran Stock Exchange.Design/methodology/approachTo this aim, information about 215 companies was analyzed during 2014–2021. The sales per inventory ratio was used to calculate SCME. In the present study, the focus is on characteristics such as managerial entrenchment, managerial myopia, managerial overconfidence (MOC) and managerial narcissism, all considered as managerial attributes.FindingsThe present findings showed that managerial myopia/managerial entrenchment (MOC/managerial narcissism) have a negative (positive) effect on SCME. Hypothesis testing based on robustness checks confirmed these results. Moreover, the findings are presented separately for companies with high business strategy (first quarter) and low business strategy (third quarter). The results show that at low levels of differentiation strategy, managerial entrenchment does not have a significant effect on SCME while other managerial attributes have a significant effect on both high and low business strategy.Originality/valueThe present study contributes to the identification of managerial psychological characteristics influencing SCME to advance future studies and support practical efforts. The present findings can prove the significance of this research and fill the existing gap in research.
Application of sensitivity patterns to inversion of magnetotelluric field data in Utah for selecting optimal input
Authors: Uhm Janghwan , Min Dong‐Joo , Heo Junyeong 
Published: November 2023

AbstractMany different magnetotelluric response functions such as the impedance and tipper which are converted from measured electromagnetic fields to remove the effects of natural sources have been proposed and studied. To obtain good inversion results, it is important to know that the inversion results depend on the sensitivity patterns of the magnetotelluric response functions used as the input, indicating parts to which the magnetotelluric responses are sensitive. We introduce how to use the sensitivity patterns to determine optimal input magnetotelluric response functions for interpreting field data. For magnetotelluric field data, we use the data acquired at the Utah Frontier Observatory for Research in Geothermal Energy survey area. The target structure in the Utah Frontier Observatory for Research in Geothermal Energy survey area is associated with geothermal energy, and most of the sites are located to the left of the target structure. Examining the sensitivity patterns of the major magnetotelluric response functions, that is the components of the impedance tensor and tipper vector, for the target anomaly, the pattern of y‐component of the tipper vector () covers the areas where most of the sites are distributed. This means information about the target structure is mainly contained in . To investigate the impact of on inversion of the target anomalous body, we compare the inversion results for four cases that (1) the xy‐ and yx‐components of the impedance tensor ( and ) are used; (2) , and are used; (3) , and x‐component of the tipper vector () are applied; and (4) the all components of the impedance tensor (, , and ) are used as the input. This comparison shows that selected as the optimal input from the sensitivity patterns for this case study contributes to retrieving the target anomaly. Through the case study for the Utah Frontier Observatory for Research in Geothermal Energy site, we show how to design a strategy of selecting optimal magnetotelluric response functions based on the sensitivity patterns to effectively image target structures. Our experiment supports that the sensitivity patterns can be used to increase the reliability of magnetotelluric inversion.