• This research provides the first comprehensive systematic literature review on software engineering research specifically targeting Jupyter notebooks, identifying 199 primary studies published up to September 2025 and categorizing them into 11 core software engineering topics. • This research reveals that a large portion of the studies have been published outside traditional software engineering venues, with Human-Computer Interaction conferences like ACM Conference on Human Factors in Computing Systems (CHI) being the top publishing venues, highlighting the interdisciplinary nature of Jupyter Notebook research. • This research identifies a reusability gap in existing research, showing that only 82 out of 199 studies offer usable replication packages, and most are hosted on GitHub instead of permanent repositories, which violates open science best practices. • This research identifies that notebook-specific solutions for software engineering issues such as testing, refactoring, and documentation are relatively underexplored. Future directions include resolving duplicated execution numbers, refactoring inter-notebook clones, and generating grouped documentation for coherent-code cells are future directions derived from our study. • This research proposes the integration of modern AI-based solutions into Jupyter notebooks to support various software engineering topics, including code search and code generation. Additionally, future research should leverage advanced AI techniques (e.g., large language models), to improve conversational AI-powered assistants for automated code generation by multi-step workflow automation in data science notebooks. • Although the paper exceeds the recommended length due to the inclusion of detailed tables, figures, and categorized analyses (covering 11 topics and 21 subtopics), we believe that this extended content is essential for clearly and completely reporting our findings. As the first systematic literature review in this domain, we have carefully structured the paper to ensure readability. We believe the length is justified by the value and breadth of this paper’s contributions. Context : Jupyter Notebook has emerged as a versatile tool that transforms how researchers, developers, and data scientists conduct and communicate their work. As the adoption of Jupyter notebooks continues to rise, so does the interest from the software engineering research community in improving the software engineering practices for Jupyter notebooks. Objective : The purpose of this study is to analyze trends, gaps, and methodologies used in software engineering research on Jupyter notebooks. Method : We selected 199 relevant publications up to September 2025, following established systematic literature review guidelines. We explored publication trends, categorized them based on software engineering topics, and reported findings based on those topics. Results : The most popular venues for publishing software engineering research on Jupyter notebooks are related to human-computer interaction instead of traditional software engineering venues. Researchers have addressed a wide range of software engineering topics on notebooks, such as code reuse, readability, and execution environment. Although reusability is one of the research topics for Jupyter notebooks, only 82 of the 199 studies can be reused based on their provided URLs. Additionally, most replication packages are not hosted on permanent repositories for long-term availability and adherence to open science principles. Conclusion : Solutions specific to notebooks for software engineering issues, including testing, refactoring, and documentation, are underexplored. Future research opportunities exist in automatic testing frameworks, refactoring clones between notebooks, and generating group documentation for coherent code cells.

Evaluating the Performance of Claude 3.7 Sonnet in Data Extraction Automation for Systematic Literature Reviews.

AI-driven semantic information retrieval for Arabic language- systematic literature review

Metabolic dysfunction-associated steatohepatitis (MASH) with cirrhosis lacks definitive treatments and poses an increasing healthcare burden globally. We undertook a systematic literature review (SLR) to better understand the disease burden in cirrhosis due to MASH. The SLR was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and registered with PROSPERO (CRD4202458650). Embase, MEDLINE, and the Cochrane Library were searched for clinical trials, observational studies, and SLRs/meta-analyses published in 2014-2024 in MASH-related cirrhosis. This study focuses on clinical outcomes, including the role of non-invasive tests (NITs) for predicting these outcomes in patients with MASH-related cirrhosis. Following full-text review, 317 studies were considered eligible for inclusion. Studies on transplant-free survival, decompensation events, and hepatocellular carcinoma (HCC) in cirrhosis due to MASH were few and heterogeneous. In patients with MASH and compensated cirrhosis, transplant-free survival was lower in patients with type 2 diabetes (T2D) than in those without. Risks of decompensation increased with factors that included the presence of varices and T2D. Male sex, T2D, and high Child-Turcotte-Pugh score were risk factors for developing HCC. Three studies compared the performance of NITs for predicting liver-related events, including decompensation, but used varying definitions for these outcomes. This SLR identified data on a range of clinical outcomes in patients with MASH-related cirrhosis. However, there was limited evidence for certain outcomes including the role of prognostic prediction models for liver-related events in this patient population.

Neutropenia is a rare side effect of CD20-depleting therapy and information regarding its management is scarce. This study aims to evaluate the clinical features, management and prognosis of ocrelizumab-related neutropenia in MS patients. Retrospective single-centre case series and systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. 37 patients were included (2 from our centre, representing an incidence of 0.63% per patient-year in our cohort [N = 117]; and 35 from the systematic review). Mean age was 36.2 years (SD 8.24) and 67.6% were female. Median number of previous disease-modifying drugs was 1 (IQR 2). Neutropenia occurred in a median of two cycles (IQR 3) after the first ocrelizumab infusion and 72.5 days (IQR 75.5) after the last one. Most patients presented with late-onset neutropenia (88.9%) and had grade four neutropenia (88.9%). 73% were symptomatic and 63% required inpatient care. No deaths were reported. 89.2% of patients received treatment with granulocyte-colony stimulating factors (G-CSF), antimicrobials or both. All neutropenia events resolved in a median of 4.5 days (IQR 5). G-CSF decreased the recovery time (p < 0.001). Treatment was maintained in 72.4% (follow-up of 1-24 months). Recurrence occurred in the same ocrelizumab cycle (N = 4), in following cycles (N = 4) and after switching to ozanimod (N = 1). No clinical, demographic or treatment features influenced recurrence. Neutropenia occurred early in treatment. Most patients presented with high-grade neutropenia but experienced a mild clinical course. Ocrelizumab resumption was possible. Recurrence may happen in the same or following cycles.

Incidence of diabetes-related foot disease: results from 2 prospective cohort studies and meta-analysis.

Military surgical residency programs face unique challenges in preparing residents for the operational demands of combat casualty care. Over the past decade, significant educational innovations have been implemented to improve clinical competence and deployment readiness. To evaluate advancements in U.S. military surgical residency training between 2015 and 2025, focusing on educational interventions and their impact on resident preparedness across multiple domains of surgical education. A systematic review of literature from PubMed and Scopus was performed using defined MeSH and keyword criteria. Studies were included if they evaluated educational interventions involving surgical residents in U.S. military GME programs, reporting outcomes such as competency, readiness, or skill acquisition. Fifteen studies met inclusion criteria. Key innovations included simulation-based training in trauma, OB/GYN, and urology; deployment readiness curricula; live tissue and cadaveric courses; mentorship frameworks; and the integration of research platforms for skill sustainment. These interventions led to measurable improvements in confidence, performance, and readiness indices across residency programs. The past decade has seen a paradigm shift in military surgical education. Evidence based innovations are helping to align training with future operational demands, but further standardization and longitudinal outcomes research are needed.

Machine learning algorithms and models for airport gate assignment problem: A systematic literature review

A systematic literature review on residential demand response with a focus on opportunities for low-income communities

Digital Health is currently showing promising results in reducing patient and caregiver suffering that arise from misconceptions. To synthesize existing evidence on Perceived Usefulness, interest in use and willingness to use towards Epilepsy Digital Health Interventions. Databases were searched for studies reporting on the outcomes of interest by using a comprehensive search strategy. Studies published in English from January 2015 to September 2025 were included. The Newcastle-Ottawa Quality Assessment Scale was employed to evaluate the quality of included studies. Stata version 19 was used to compute a pooled proportion using a random-effects model. Heterogeneity was assessed using the Cochrane chi-square and the index of heterogeneity test. Sensitivity tests and subgroup analyses were performed. Publication bias was examined by funnel plots and Egger's test. Overall, 6041 studies were found from databases. After a step-by-step screening, 23 studies were included in this review. The total number of participants was 6703 with a sample size ranges from 12 to 1168. The pooled proportions of Perceived Usefulness, interest to use, and willingness to use Digital Health were 0.66 (0.58, 0.75), 0.69 (0.50, 0.88), and 0.75 (0.66, 0.83), respectively. In this review, Sensitivity tests indicated that none of the included studies exerted extreme influence on the pooled prevalence; and Funnel plots and Egger's test (p≤0.772) showed no evidence of publication bias. In this review, 66% of respondents perceive Digital Health as useful; 69% were interested in using Digital Health, and 75% were willing to engage with Digital Health. Most of the studies were from high-income countries, with no studies found from developing countries. This review emphasizes the importance of focusing on the user's perceptions, their interest and willingness to use Digital Health Interventions. It also stresses the need for further studies in low-income countries.

Development and validation of a symptom cluster assessment scale for patients with lumbar degenerative disease after unilateral biportal endoscopy surgery based on the symptom experience model.

Coupling methods between Monte Carlo and computational fluid dynamics codes for nuclear reactor analysis: A systematic literature review

In the context of the circular economy and the increasing demand for safe and sustainable packaging, this work addresses the safety assessment of food contact materials (FCMs) derived from agro-industrial by-products. Despite growing interest in these bio-based materials, the literature still lacks a structured safety-assessment framework able to account for substrate-related contaminants, microbial processing, and downstream impurities. The novelty of this work lies in applying the European Food Safety Authority (EFSA) Technical Report perspective on natural mixtures to two representative case studies: bacterial cellulose (BC) produced by Komagataeibacter spp., as a promising microbial biopolymer for food packaging application, and nisin produced by Lactococcus lactis subsp. lactis, as an antimicrobial peptide, to functionalize the packaging material. This study aims to evaluate whether the EFSA-oriented framework can support the identification of potential substances of concern across the production chain when cellulose is produced starting from agro-industrial waste or nisin is applied. For this, a systematic literature review (SLR) was conducted to investigate potential substances of concern from agro-industrial substrates through fermentation to the final activated materials. The findings highlight the need to characterize natural carbon sources, including pesticide residues, consider the qualified presumption of safety (QPS) status of production microorganisms, and assess metabolites and fermentation by-products. The behavior of these substances during processing and their potential migration into food are critical aspects. A preliminary safety assessment at early development stages is therefore essential to guide material design and regulatory compliance. Overall, this study provides a practical framework to support researchers, developers, and risk assessors in identifying safety concerns and improving the regulatory readiness of innovative bio-based FCMs.

Cultivating demand: A systematic literature review on agroecology's role in consumer behavior

Measurement of student STEM identity: A systematic literature review

The impact of video game use of dark patterns and random reward mechanisms on the youth: A systematic literature review

Digital platforms in supply chain and logistics management: A systematic literature review

Invisible pits to sudden subsurface labyrinths in copper: a systematic literature review in conditions and mechanisms of formicary (ant-nest) corrosion

Green entrepreneurial intentions in higher education (HE): A systematic review of trends and influences.

Venture capital firms (VCs) play a unique role in fostering the transition to a sustainable society by financing and supporting technology ventures that contribute to long-term societal and environmental goals. However, the sustainability promise of technology ventures is typically not clear at the early stages of development, requiring critical evaluation and continuous monitoring. VCs thus require an approach for sustainability impact assessment to assess and monitor the sustainability impact of technology ventures and guide sustainable investment decisions – even more so in light of emerging regulatory requirements, such as the European Sustainable Finance Disclosure Regulation. Despite this need, limited research exists on sustainability impact assessment in the venture capital context. This study addresses this gap by investigating how VCs can assess the sustainability impact of technology ventures. Employing a design science research approach, we develop and evaluate a novel sustainability impact assessment framework tailored to the unique characteristics of VC investment. The framework adopts a Design Science (DS) approach, combining insights from a systematic literature review with findings from an in-depth qualitative study with VCs. Our contribution is twofold. First, we propose a set of design principles that enable VCs to conceptualize, assess, and monitor the sustainability impact and risks of their portfolio ventures. Second, we develop a framework for developing and validating design principles in highly contextual and emergent domains such as sustainable venture capital. The resulting design principles and framework integrate perspectives from entrepreneurial finance and technology entrepreneurship, aiming to inform both academic discourse and venture capital practice by positioning sustainability impact assessment as a central criterion in investment decision-making and venture support. • Develops and evaluates a novel sustainability impact assessment framework for venture capital firms. • Integrates theoretical insights and empirical evidence through a systematic design science approach. • Provides eight design principles to guide sustainability impact and risk assessment of early-stage technology ventures. • Demonstrates practical applicability through implementation and evaluation in a European VC fund and thereby addresses the growing need for sustainability impact assessment in venture capital under EU SFDR regulations. • Offers actionable guidelines for integrating sustainability into VC investment decision-making and monitoring processes.