bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effectiveness of Nonpharmacological Interventions to Reduce Procedural Pain of Pediatric Oncology Patients
Authors: Gürcan Meltem , Karataş Nimet , Turan Sevcan Atay , Özer Zeynep 
Published: January 2025

Background
Relieving procedural pain in pediatric oncology is an important facilitator of the cancer treatment process.

Objective
To synthesize the effect of nonpharmacological interventions on reducing the procedural pain of pediatric oncology patients in randomized controlled trials.

Methods
A meta-analysis and systematic review for randomized controlled trials. The PROSPERO has registered the meta-analytic approach used in this review. For studies published in English from the earliest record to May 2023, comprehensive and systematic literature searches were carried out using PubMed, Web of Science, CINAHL (Cumulative Index to Nursing and Allied Health Literature), Science Direct, Springer Link, Scopus, EMBASE, Ovid, ELSEVIER, ProQuest and the CENTRAL, and Taylor & Francis. Two researchers used the Cochrane Collaboration method to assess the risk of bias in the included studies.

Results
Four hundred ninety-four participants in 7 trials met the eligibility requirements. The primary findings showed no evidence of a significant publishing bias. This study revealed that nonpharmacological therapies significantly reduced procedural pain. Virtual reality techniques outperform nondigital distraction techniques in subgroup analysis of intervention types when it comes to lowering procedural pain in pediatric oncology patients.

Conclusion
In pediatric oncology, nonpharmacological therapies significantly and positively reduce procedural pain. No adverse events were reported in the included studies. Nonpharmacological therapies can be utilized by pediatric oncology nurses to mitigate procedural pain associated with needles.

Implications for Practice
The findings of this study will contribute to the application of effective nonpharmacological interventions by clinical nurses and will provide guidance for the planning of further research.
Expanded Approaches for Mastopexy in Aesthetic and Reconstructive Breast Surgery
Authors: Keane Alexandra M. , Tandon Damini , Tenenbaum Marissa M. , Myckatyn Terence M. 
Published: January 2025

Learning Objectives:
After studying this article, the participant should be able to: (1) Understand the unique differences between mastopexy in aesthetic and reconstructive breast surgery. (2) Describe the approach to performing mastopexy with autoaugmentation or after explantation. (3) Have insight into the approach and decision-making process for performing mastopexy with nipple-sparing mastectomy. (4) Apply the mastopexy skin reduction techniques to ptotic women undergoing postmastectomy breast reconstruction.

Summary:
Techniques and indications for mastopexy are expanding. In aesthetic surgery, access to supportive meshes and higher rates of breast implant explantation without replacement contribute to this. In breast reconstruction, higher rates of nipple-sparing mastectomy and higher expectations for cosmetically favorable outcomes with ptotic breasts are key drivers. A keen understanding of the available blood supply and how it may change over time with a staged approach, thoughtful use of otherwise-discarded tissues, and judicious application of mesh support are important new considerations for plastic surgeons to apply to traditional mastopexy. This evidence-based article focuses on specific aesthetic and reconstructive mastopexy techniques associated with autoaugmentation, explantation, and nipple-sparing mastectomy.
Serial Transverse Enteroplasty and The Re-establishment of Enteral Autonomy Among The Adult Population
Authors: Fujiki Masato , Armanyous Sherif R. , ElSherif Ayat , Parekh Neha , Costa Guilherme , Hawthorne Amanda , Osman Mohammed , Abu-Elmagd Kareem M. 
Published: January 2025

Objective(S):
To define the evolving role of serial transverse enteroplasty(STEP) in the surgical management of intestinal failure(IF) in patients with short bowel syndrome(SBS) especially among the adult population.

Background:
The current literature is lacking the rationale and long-term efficacy of STEP as a part of the multidisciplinary management of SBS-IF adult population.

Methods:
The study included a total of 64 total parenteral nutrition (TPN) dependent patients. The causes of SBS were wide-ranging with residual bowel length of 79+47 cm and plasma citrulline level of 22+12 umol/L. Partial or full colon was preserved in 56(88%) patients. STEP was primary in 32 patients and integrated with autologous gut reconstruction(AGR) in the remaining 32. Integrated STEP was technically feasible in 44% of the preoperative candidates. To assess the therapeutic benefits of integrated STEP, 32 of the contemporaneous AGR-only patients were statistically identified by propensity-score matching as control group.

Results:
With a mean follow-up of 35+24 months, the 64 study patients received a total of 81 STEP procedures. The 5-year disease-specific survival was 91% with a respective restored enteral autonomy (EA) rate of 80%. Compared to the matched control, integrated STEP significantly(P=0.02) enhanced the cumulative restoration of EA. The ASA comorbidity class IV was the only significant(P=0.05) survival risk factor. Preoperative TPN caloric requirements and total increment in bowel length were independent predictors of STEP-associated EA. Consequently, STEP was a significant predictor of restored EA among the overall SBS-IF patients.

Conclusions:
This study underscores the wide-applicability and long-term therapeutic efficacy of STEP among the SBS-patients including adults. Accordingly, the procedure should be increasingly utilized for all ages and promptly considered as an integral part of the SBS-IF management armamentarium.
The Predictive Power of Intraoperative EEG and Clinical Characteristics for Postoperative Delirium Following Cardiac Surgery
Authors: Wiredu Kwame , Sun Haoqi , Boncompte Gonzalo , Westover M. Brandon , Pedemonte Juan C. , Akeju Oluwaseun 
Published: January 2025

Introduction:
Postoperative delirium is common and associated with poor postoperative outcomes. However, the predictive power of intraoperative electroencephalogram (EEG) features for postoperative delirium has not yet been well studied.

Methods:
Intraoperative EEG data from 261 patients who underwent major cardiac surgery were analyzed. Cases were identified using the Confusion Assessment Method. Predictive analytics for delirium outcome were performed using (1) only clinical data, (2) only EEG data, and (3) a combined list of important features from the first two stages.

Results:
Eleven percentage of participants experienced postoperative delirium. The patients were generally older and had lower physical and cognitive function. EEG models were found to be highly specific but less sensitive in identifying delirium cases. The combined EEG-clinical model performed comparably to the clinical-only model (AUC = 80%) but outperformed the EEG-only model (AUC = 56%). After adjusting for clinical covariates, only interhemispheric mutual information remained significantly associated with delirium (OR = 2.29, p = 0.03), with a positive correlation with delirium severity (ρ = 0.18, P ≤ 0.01).

Conclusions:
This study enhances our understanding of delirium neurophysiology by emphasizing the role of intraoperative EEG as a marker of brain vulnerability. Although EEG may not constitute a standalone biomarker of delirium, it holds promise for delirium risk stratification.
SpaTM: Topic Models for Inferring Spatially Informed Transcriptional Programs
Authors: Osakwe Adrien , Dong Wenqi , Zhang Qihuang , Sladek Robert , Li Yue 
Published: January 2025

AbstractSpatial transcriptomics has revolutionized our ability to characterize tissues and diseases by contextualizing gene expression with spatial organization. Available methods require researchers to either train a model using histology-based annotations or use annotation-free clustering approaches to uncover spatial domains. However, few methods provide researchers with a way to jointly analyze spatial data from both annotation-free and annotation-guided perspectives using consistent inductive biases and levels of interpretability. A single framework with consistent inductive biases ensures coherence and transferability across tasks, reducing the risks of conflicting assumptions. To this end, we propose the Spatial Topic Model (SpaTM), a topic-modeling framework capable of annotation-guided and annotation-free analysis of spatial transcriptomics data. SpaTM can be used to learn gene programs that represent histology-based annotations while providing researchers with the ability to infer spatial domains with an annotation-free approach if manual annotations are limited or noisy. We demonstrate SpaTM’s interpretability with its use of topic mixtures to represent cell states and transcriptional programs and how its intuitive framework facilitates the integration of annotation-guided and annotation-free analyses of spatial data with downstream analyses such as cell type deconvolution. Finally, we demonstrate how both approaches can be used to extend the analysis of large-scale snRNA-seq atlases with the inference of cell proximity and spatial annotations in human brains with Major Depressive Disorder.
Predicting gene expression using millions of yeast promoters revealscis-regulatory logic
Authors: Dash Tirtharaj , Bornelöv Susanne 
Published: January 2025

AbstractMotivationGene regulation involves complex interactions between multiple transcription factors. While early attempts to train deep neural networks to predict gene expression were limited to naturally occurring promoter sequences, the advent of gigantic parallel reporter assays has expanded available training data by orders of magnitude. Despite these advances, a clear understanding of how to use deep learning to study gene regulation is still lacking.MethodHere we investigate the complex association between gene promoters and expression inS. cerevisiaeusing Camformer, a residual convolutional neural network that ranked 4th in the Random Promoter DREAM Challenge 2022. We present the original model trained on 6.7 million random promoter sequences and investigate 270 alternative models to determine what factors contribute most to model performance. Finally, we use explainable AI to uncover regulatory signals.ResultsWe show that Camformer accurately decodes the association between promoters and gene expression (r2= 0.914 ± 0.003,ρ= 0.962 ± 0.002) and provides a substantial improvement over previous state of the art. Furthermore, we show that a much smaller model with approximately 90% fewer parameters than the original model can achieve a high predictive performance. Using Grad-CAM and in silico mutagenesis, we demonstrate that the model learns both individual motifs and their hierarchy. For example, while an IME1 motif on its own increases gene expression, the co-occurrence of a UME6 motif provides a switch to strongly reduce gene expression. Thus, deep learning models such as Camformer can provide detailed insights intocis-regulatory logic.Availability and ImplementationThe data and code used and developed in our experiments are publicly available at:https://github.com/Bornelov-lab/Camformer.
A wireless, scalable and modular EEG sensor network platform for unobtrusive brain recordings
Authors: Ding Ruochen , Hovine Charles , Callemeyn Piet , Kraft Michael , Bertrand Alexander 
Published: January 2025

AbstractThis paper introduces a modular sensing platform for wearable electroencephalography (EEG) recordings. The platform is conceived as a wireless EEG sensor network (WESN), consisting of multiple miniaturized, wireless EEG sensor nodes that synchronously collect EEG data from different scalp locations. As there are no wires between the different sensors, the platform provides maximal flexibility and discreetness, combined with a reduced sensitivity to motion artefacts or electro-magnetic interference. By removing the driven right leg (DRL) electrode and reducing the within-node electrode spacing to 3cm, we obtain a compact design while maintaining a high signal integrity. The WESN system was validated through a series of experiments: achieving synchronization of EEG data transmission across multiple sensor nodes and the detection of actual neural responses in EEG experiments. These results demonstrate the effectiveness and robustness of the proposed WESN platform, establishing it as a promising research platform for scalable, flexible, and discreet multi-channel EEG monitoring in ambulatory settings.
Developing a reintegration index (RI) for a closed-loop supply chain network in the automobile industry
Authors: Bhattacharyya Shisam , Sarkar Bishal Dey , Sarkar Sobhan , Singh Prince Kumar , Manatkar Ramkrishna 
Published: January 2025

PurposeContinuous benchmarking of a closed-loop supply chain (CLSC) network is required to achieve circular economic viability for end-of-life vehicle (ELV) recovery programs for original equipment manufacturers (OEMs). This study develops a framework to assess and benchmark CLSC networks in ELV recovery programs, addressing the absence of a standard index and enabling circular economic viability for OEMs.Design/methodology/approachThe study uses a Bayesian evidential reasoning approach (BERA) that helps decision-makers develop a reintegration index (RI) for the automobile CLSC network. To develop the index, a total of 15 factors related to the automobile CLSC are identified from the literature. Bayesian belief network (BBN) is used on those factors to generate conditional probabilities for different nodes of the BBN. With the opinion of 12 domain experts, the ERA is used to generate a score for each node. Finally, the Markovian tree is used on the scores to generate the RI for a particular CLSC network.FindingsThe analysis demonstrates that both operational and strategic actions aimed at ensuring customer satisfaction and retaining core components are quantified using a standardized index value for each alternative amidst uncertainty. Leveraging the BERA model, decision-makers can calculate RI values, providing them with the means to assess and regulate ratings for CLSC networks. This capability serves to bolster circular economic sustainability by facilitating informed decision-making within the automotive industry.Practical implicationsThis framework offers a structured approach for decision-makers to evaluate CLSC networks in ELV recovery programs, allowing for adaptability to specific organizational objectives and facilitating informed decision-making in the automotive industry.Originality/valueThe study’s integration of expert insights and probabilistic modeling fills the gap in the literature by providing a comprehensive framework for assessing CLSC networks in ELV recovery programs, contributing to circular economic viability and strategic decision-making for OEMs.
Naapbooks Limited: an innovative IT solution for SMEs
Authors: Khetarpal Ruchika , Dwivedi Amit 
Published: January 2025

Learning outcomes
This case study will frame the significance of the business model for a company. The reader will understand business model innovation and how it helps enhance entrepreneurial rewards. The students will be able to identify the entrepreneurial traits which lead to business model innovation. The readers will know about the components of a business model and will be able to apply the understanding in creating a business model canvas.

Case overview/synopsis
The real-life case is of a tech start-up founded in Ahmedabad by three friends. Their diverse educational background helped them in creating a successful venture that later transformed into a public company. They were always trying to make their business model competitive and innovative. Being a start-up, there were critical business decisions taken and strategies formed by the founding team. They were facing a dilemma after making the company public, as their responsibility towards the stakeholders increased. They need to keep in mind the needs of all the stakeholders and the enterprise itself. They were at a crossroads in deciding about their business model.

Complexity academic level
This case study is suitable for honours or postgraduate level or entrepreneurship training.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 11: Strategy.
Determining the optimal window size and orientation of an academic building in subtropical climate
Authors: Anzum Afia , Rana Md. Jewel , Ahmed Estiak , Rahman Sabitur 
Published: January 2025

PurposeThe major goals of this study are to investigate the existing state of affairs concerning daylighting, glare and thermal comfort in the building, which will be the focus of the investigation, particularly in connection to the building’s energy efficiency considering student task performances. EnergyPlus, which is a software for building energy modeling, is applied to evaluate the energy consumption of buildings under a variety of circumstances related to their design. With the use of a variety of simulations, the goal of this study is to provide building design options that are both the most efficient and the most cost-effective for the case study building.Design/methodology/approachThere are three distinct categories that can be applied throughout the entire process. The first thing that has to be done is to choose a building to use as a case study and then conduct an analysis of the current situation to address the existing problem. In the following step, several passive design measures are implemented and simulated in order to solve the challenges that are currently being faced. A detailed cost analysis is carried out as the final step in the process of determining whether or not it is feasible.FindingsAccording to the findings: A cantilevered 3’ drop wall as a shading system, an east-facing model, and a window with a height of 4.5 is the ideal configuration. The annual energy can be saved by 22.5%. The payback period is 11 years. Benefit/Cost >1 makes it a feasible and economical solution.Originality/valueThe work is completely original. No one have done this before.
Revealing breakthrough trends in teacher effectiveness research: a comprehensive bibliometric analysis with Lotka’s and Price’s law
Authors: Wan Liah Wan Nurfarahiyah , Zulnaidi Hutkemri , Kenayathulla Husaina Banu 
Published: January 2025

PurposeThis paper aims to examine the key domains and prevailing trends in the context of teacher effectiveness while proposing directions for future research in this area.Design/methodology/approachUtilising the Science Citation Index Expanded and Social Sciences Citation Index databases within Scopus, covering the period from 2014 to 2024, a bibliometric review of 555 studies related to teacher effectiveness is conducted. This paper employs Bibliomagika 2.2, OpenRefine, R Output, IIPMaps and VOSviewer to screen, clean, analyse and report relevant and ethical data.FindingsBased on the bibliometric analysis, we identified and revealed the subsequent publication trends, Lotka’s law and Price’s law authorship distribution patterns, the most active countries and thematic analysis of highly cited documents. We further integrate thematic analysis that emerged in highly cited documents with co-occurrence analyses of author keywords in the literature on teachers’ effectiveness research. However, the findings contradict the traditional distribution of Lotka’s law and Price’s law.Research limitations/implicationsThis finding has a notable limitation as it only covers 10 years of Scopus database data and predominantly focuses on English-language documents. Furthermore, this study does not thoroughly examine contextual factors influencing these trends, such as educational policy, technological progress and COVID-19 endemic repercussions. Finally, it should be emphasised that the analysis of trends extracted in Scopus cannot be generalised as the study relies heavily on citation metrics, which vary significantly across disciplines, leading to potential biases in evaluating teacher effectiveness studies, particularly those with an interdisciplinary nature.Originality/valueThis study provides readers with an in-depth analysis and understanding of the development of teacher effectiveness research with Lotka’s law and Price’s law. It also highlights recommendations for future research directions to ensure its sustainability, survival and expansion in the coming decades align with the United Nations Educational, Scientific and Cultural Organisation's (UNESCO’s) Sustainable Development Goal 4 of quality education.
Willy Wonka and the boy-entrepreneur archetype: the changing faces of entrepreneurial masculinity, 1971–2023
Authors: Green Kai Roland , Wraight Tom 
Published: January 2025

PurposeThis paper uses the cultural figure of Willy Wonka to explore the archetype of the “boy-entrepreneur”, and what the various film manifestations of Wonka (1971–2023) say about changes in entrepreneurial masculinity. We (1) develop an original conceptualisation of boyhood as creatively, socially and gender liminal, (2) analyse the entrepreneurial archetype using literary theories and (3) provide a novel interpretation of Apollonian and Dionysian masculinity to aid future cultural analysis of founder/innovator depictions in children’s media.Design/methodology/approachOur study conducts a three-stage dramaturgical analysis of the major film adaptations of Roald Dahl’s Willy Wonka (1971, 2005 and 2023). After supplementing the limited literature on boyhood in entrepreneurship with literary and feminist art theory, we identify the significant narrative features which frame the Wonka dramas and produce a framework which tracks thematic changes across the films in terms of the creative, social and gender liminal elements of Wonka’s boy-entrepreneur identity.FindingsOur interpretive analysis reveals a gradual shift in values expressed through Wonka’s boy-entrepreneurialism away from a more hegemonic, Apollonian style of masculinity towards a more Dionysian style embracing emotional expression, intimacy with female characters and kin, and collaborations with nature. Such shifts reflect the growing influence of non-hegemonic entrepreneurial gender expressions, value-driven and relational approaches to new venture creation.Originality/valueThe study contributes to the hugely unexplored area of the “boy-entrepreneur”/“boy-genius”, demonstrating its durability in reality, imagination and popular culture. We provide an in-depth character portrait to provoke further attention to children’s multi-media ways of experiencing early entrepreneurial impressions. We also expand the methodological scope of research on entrepreneurial masculinity beyond real-life founders.