ABSTRACT The concept of the Twin Transition (TT) – the integration of green and digital transitions – has evolved from a loosely linked policy idea – especially in the EU’s post-COVID-19 recovery agenda – to an emerging topic in academic research. TT research has grown rapidly, focusing on the enabling role of digital technologies in addressing climate challenges and on the environmental impacts of digitalization. Recently, academic interest has turned toward an underexplored aspect: TT’s regional geography. Emerging evidence indicates that the development and adoption of green and digital technologies are shaped by regional characteristics, including local capabilities, institutional settings, and path dependencies. However, systematic understanding of these geographical dimensions remains limited. This paper addresses that gap through a bibliometric analysis of TT-related research with spatial relevance. Using network analysis and bibliographic coupling, the study identifies key research trends, clusters, and gaps. Findings show a fragmented but fast-growing field, with both qualitative and quantitative approaches offering insights across spatial scales. Patterns of scientific output suggest a ‘success-breeds-success’ dynamic, particularly in ICT-strong regions. The paper underscores the importance of place-sensitive policies and localized knowledge in shaping the TT and offers a roadmap for future research into how regional factors mediate this dual transformation.

Skeletal muscle is a vital part of human physiology and is responsible for numerous essential functions. Not surprisingly, the loss of skeletal muscle mass and function is common in several pathologies including atrophy and sarcopenia, which profoundly impact quality of life of those afflicted. Thus, numerous investigations of potential therapies for mitigating or reversing such pathologies are available. Within these studies, experimental cell culture models such as the murine C2C12 myoblasts are commonly used. Over 100 publications have utilized dexamethasone-treated C2C12 myotubes to investigate various aspects of muscle atrophy. The purpose of this systematic review is to describe the experimental conditions common to these experiments, as well as phenotypical myotube presentation, and gene and protein expression of targets that regulate muscle mass, function, and metabolism. A systematic review of literature was conducted until 3 January 2025 using PUBMED. Articles were included if (1) C2C12 myotubes were used, (2) the article included a dexamethasone-only group along with appropriate vehicle or true control and (3) the article assessed at least one of the related phenotypical or molecular outcomes of importance to the scope of the review. A total of 182 articles were included after screening for relevance and inclusion criteria, which were assessed for outcomes (raw data reported when available or using ratio-metric estimates of relative differences between dexamethasone treatment and control). In 24 of 26 unique experiments that utilized 10 μM dexamethasone and 37 of 39 unique experiments that utilized 100 μM dexamethasone, a decrease in myotube diameter was reported (pooled experimental average estimates from 24-h time points 69.8% ± 7.5% and 66.9% ± 14.7% for 10 and 100 μM, respectively, vs. control). All six studies that utilized 10 μM dexamethasone and all nine that treated myotubes with 100 μM dexamethasone reported reduced fusion index (pooled experimental average estimates from 24-h time points: 67.6% ± 5.3% and 68.4% ± 8.4% for 10 and 100 μM, respectively, vs. control). Dexamethasone-treated myotubes also consistently expressed increased atrophic-related molecular targets including Atrogin-1 and muscle atrophy X box1 (MuRF1), as well as reductions in anabolic signalling (specifically, mTORC and Akt activation) and mitochondrial function. The striking consistency of these findings suggests dexamethasone treatment of C2C12 myotubes is a reliable method of mimicking many features common to skeletal muscle pathology. This review provides insight into the use and expected outcomes of the dexamethasone-mediated model of atrophy in C2C12 myotubes and may serve as a helpful reference for future experiments utilizing this model.

Periprosthetic joint infection (PJI) caused by Brucella spp. is an exceedingly rare occurrence, leading to a lack of consensus regarding its diagnosis and treatment. This review mainly aimed to assess the diagnosis and treatment strategy of Brucella-induced PJI. We summarized the data by reporting 4 cases from the Hexi area of China and conducting a systematic review. A comprehensive literature search was performed in PubMed, Web of Science, Embase, and the Chinese Biology Medicine database for relevant publications using predefined search terms. Included studies were case reports or series on human Brucella-induced PJI that described patient outcomes. Data on demographics, diagnosis, treatment, and outcomes were extracted and analyzed. A total of 61 patients of Brucella-related PJI were summarized. Serological antibody tests provided the best diagnostic yield with a 100% positive rate (35/35), compared to lower sensitivities for joint aspiration culture (53.84%, 21/39) and blood culture (41.67%, 5/12). In the presence of radiological implant loosening, 32 patients underwent one- or 2-stage revision with combination antibiotic therapy. For 29 patients without loosening, treatment included antibiotic therapy alone or combined with drainage and debridement or revision. No recurrence was reported at the end of the follow-up. Preoperative serological tests are prioritized for diagnosing Brucella PJI. Loose implants should be managed with revision surgery, while stable implants may be treated initially with antibiotics alone or combined with debridement.

Shaping the future: Current landscape and potential impact of educating children and adolescents on antimicrobial resistance - a systematic review and narrative synthesis.

Incidental splenic artery aneurysms: systematic literature review and single-centre study.

Gastric disease in systemic sclerosis: Spectrum, challenges, and insights from a systematic literature review.

Autogate technology is increasingly used to enhance efficiency and security in access control across various sectors. This study examines the implementation and impact of autogate through a Systematic Literature Review (SLR) using the PRISMA method. Data were collected from Google Scholar, OpenAlex, and CrossRef for 2020–2025. Of 65 eligible articles, 30 were analyzed further. The findings indicate that autogate speeds up identity verification, reduces queues, and improves user convenience. However, challenges such as high costs, complex system integration, and varying user acceptance remain significant. This study provides insights into autogate development and offers recommendations for optimizing its implementation.

The colonial past and/in history textbooks: A literature review.

The creation of systematic literature reviews (SLR) is critical for analyzing the landscape of a research field and guiding future research directions. However, retrieving and filtering the literature corpus for an SLR is highly time-consuming and requires extensive manual effort, as keyword-based searches in digital libraries often return numerous irrelevant publications. In this work, we propose a pipeline leveraging multiple large language models (LLMs), classifying papers based on descriptive prompts and deciding jointly using a consensus scheme. The entire process is human-supervised and interactively controlled via our open-source visual analytics web interface, LLMSurver, which enables real-time inspection and modification of model outputs. We evaluate our approach using ground-truth data from a recent SLR comprising 8323 candidate papers, benchmarking both open and commercial state-of-the-art LLMs from mid-2024 and fall 2025. Results demonstrate that our pipeline significantly reduces manual effort while achieving lower error rates than single human annotators. Furthermore, modern open-source models prove sufficient for this task, making the method accessible and cost-effective. Overall, our work demonstrates how responsible human-AI collaboration can accelerate and enhance systematic literature reviews within academic workflows. • A new pipeline for semi-automated literature review. • Large language models vote using a consensus scheme. • User keeps the control through a visual analytics approach. • Evaluation with previous and modern state-of-the-art models (open and commercial). • Available online demo tool and open-source code.

Chaos experiments in microservice architectures: A systematic literature review

ObjectivesThis study proposes an evidence-based design guideline for oncology inpatient rooms that addresses the physical, emotional, and psychosocial needs of cancer patients.BackgroundCancer inpatients frequently experience long hospital stays with emotional vulnerability and clinical stress. Growing evidence suggests environmental design can shape patient experience, comfort, and recovery. Yet, current literature lacks an integrated framework for the spatial and sensory needs of this population.MethodA systematic literature review was conducted across Web of Science, Scopus, and PubMed. From an initial pool of 1004 records, 36 studies met the inclusion criteria. Data were thematically analyzed and interpreted using established healthcare design theories.ResultsThe synthesis coalesced a wide range of findings into five core thematic domains: (a) the patient's personal sphere of privacy, control, and identity; (b) the social dimension of balancing solitude with connection; (c) the sensory environment of nature, art, and acoustic well-being; (d) the integration of embedded safety and hygiene; and (e) a culture of responsive and participatory design. The analysis reveals a critical tension between clinical necessity (e.g., infection control) and psychological well-being (e.g., avoiding isolation), highlighting the need for integrated solutions.ConclusionsThe physical environment is an active agent in the cancer care experience. This review presents a comprehensive, patient-centered design framework translating empirical evidence into practical strategies. Despite study design limitations, the findings emphasize creating adaptable, psychologically supportive environments for patients' evolving needs. The proposed guideline is a foundation for future design standards and evidence-driven practice in oncology care.

Second-hand tobacco smoke exposure in Israel: A systematic review and meta-analysis of prevalence data, 2012-2024.

Clinical and molecular profiles of patients with Xia-Gibbs syndrome: a cohort in Japan.

Urban Air Mobility (UAM) is a promising component of future mobility systems. To ensure its smooth and viable implementation, it is crucial that authorities, organizations, public services and stakeholders in general consider not only economic aspects but also environmental, safety and socio-economic factors through a holistic approach. However, the current literature primarily focuses on specific subtopics of UAM individually, failing to address the topic in an integrated and comprehensive manner. This study aims to overcome this limitation by conducting a Systematic Literature Review (SLR) on UAM, analyzing a database of 129 articles published between 2017 and 2023. Specifically, a bibliographic coupling analysis and a Multiple Correspondence Analysis (MCA) were performed. The results include a list of 150 indicators used to assess environmental, safety and socio-economic impacts of UAM, as well as the identification of four core thematic clusters: (1) UAM Technology and its Sustainability; (2) Environmental Assessment; (3) Traffic Management for the Airspace Industry; and (4) Passenger Transport and Demand Management. The findings of this research complement existing literature and contribute to the development of the field by shedding light on UAM’s key stakeholders, impacts and the indicators used to assess these impacts.

Acquired Hemophilia A (AHA) is a rare bleeding disorder caused by factor VIII inhibitors. Standard therapies are limited by thrombotic risk and prolonged hospitalization. Emicizumab, approved for congenital Hemophilia A, has emerged as a potential alternative in AHA based on case reports and early clinical trial data. To evaluate the efficacy and safety of Emicizumab in AHA through a retrospective real-world case series and a systematic literature review with patient-level data analysis. We retrospectively analyzed five AHA cases treated with Emicizumab at two Italian centers and performed a PRISMA-compliant systematic review of published reports, extracting and analyzing patient-level data using Joanna Briggs Institute tools. In the real-world cohort, early Emicizumab use in five patients with high-titer inhibitors and severe bleeding led to rapid hemorrhagic control, early withdrawal of bypassing agents, and no thrombotic or adverse events. All five patients received immunosuppression, and inhibitor eradication was achieved in 60% of patients, but for 40% follow up is still ongoing. The literature review identified 24 patients from 18 publications. Early Emicizumab administration (at admission) was associated with reduced bleeding recurrence (0% vs. 56.3%), shorter in-hospital stay (median 23.5 days vs. 39 days), and lower bleeding-related mortality (0% vs. 12.5%) compared with delayed administration. Early Emicizumab initiation appears to be a safe and effective strategy for AHA management, particularly in fragile or high-risk populations. Its subcutaneous route, favorable safety profile, and ability to reduce hospitalization support its integration into first-line therapeutic algorithms. Further prospective studies are warranted to define.

To establish a pharmacokinetic model-based method for converting random concentrations of quetiapine (QTP) and its active metabolite N-desmethylquetiapine (N-QTP) to steady-state trough concentrations, and validate its component-specific accuracy using paired patient data to address the clinical challenge of interpreting non-standard time samples in therapeutic drug monitoring (TDM). Core pharmacokinetic parameters (QTP half-life: 7 h; N-QTP half-life: 12 h) were confirmed via systematic literature review. Phase-specific conversion formulas were derived based on first-order kinetic decay, with 14 h post-dose as the standard trough time (midpoint of 12-16 h guideline window). A longitudinal validation cohort of 80 schizophrenia patients (steady-state QTP administration ≥7 days) was enrolled: each patient underwent two blood samplings on separate dosing days (1 random time point [2-26 h] and 1 standard 14 h trough sampling). Python was used to calculate conversion coefficients (1-48 h), and accuracy was validated by comparing QTP-specific, N-QTP-specific, and total estimated trough concentrations with concurrently measured trough concentrations (gold standard). Conversion coefficients for 1-48 h were generated. Validation with paired data (n = 80) showed strong component-specific and overall agreement: For QTP alone, Pearson correlation coefficient (r) = 0.89 (P < 0.001), mean relative error (RE) = 10.1 % ± 4.2 % (range: 5.3 %-15.8 %), and 82.5 % of estimates with RE < 15 %; for N-QTP alone, r = 0.91 (P < 0.001), mean RE = 7.8 % ± 3.1 % (range: 3.2 %-13.2 %), and 93.8 % of estimates with RE < 15 %; for total concentration (QTP + N-QTP), r = 0.92 (P < 0.001), mean bias = -5.2 ng/mL (95 % CI: -11.7-1.3), limits of agreement (LOA) = -34.8-24.4 ng/mL, mean RE = 9.2 % ± 3.7 % (range: 4.8 %-14.5 %), and 87.5 % of estimates with RE < 15 %. Stratified analysis by sampling time point confirmed consistent accuracy across 2-26 h, with optimal performance at 6-10 h (RE < 9 %). The conversion method, rigorously validated for both QTP and N-QTP with paired patient data, demonstrates robust component-specific and overall accuracy for clinical use. It provides a practical, eadily applicable lookup table to facilitate TDM interpretation when standard trough sampling is unfeasible, thereby supporting personalized quetiapine therapy for schizophrenia and bipolar disorder.

To analyze the safety and effectiveness of covered balloon-expandable (CBE) stent grafts for treatment of aortoiliac occlusive disease (AIOD) from publications between 2000 and 2024. A PubMed systematic literature review search was conducted to expand a previous review (2000-2019) and include publications between 2020 and 2024. Terms included balloon-expandable/expanding, iliac, and specific stent graft names. Study eligibility criteria included ≥5 patients with AIOD treated with CBE stents and reports of patency or freedom from target lesion revascularization (fTLR). Primary, primary-assisted, and secondary patency and fTLR rates at 1, 6, 9, 12, 24, 36, 48, and 60 months were analyzed. The search identified 252 records; 25 studies (29 publications) met eligibility, resulting in 1,983 patients included in the meta-analysis. The stent grafts included Advanta V12 Balloon Expandable Covered Stent/iCast Covered Stent System (Advanta V12/iCast; Getinge Maquet, Rastatt, Germany), GORE VIABAHN VBX Balloon Expandable Endoprosthesis (VBX Stent Graft; W. L. Gore & Associates, Inc. Flagstaff, Arizona), BeGraft Peripheral Stent Graft System and/or BeGraft Peripheral Plus Stent Graft (Bentley InnoMed GmbH, Hechingen, Germany), LifeStream Balloon Expandable Vascular Covered Stent (Becton Dickenson, Tempe, Arizona), iCover Stent Graft (iVascular, Barcelona, Spain), and mixed-device cohorts. Pooled stent graft primary patency rates at 12, 24, 36, 48, and 60 months were 91%, 85%, 81%, 79%, and 80%, respectively, and fTLR rates were 94%, 91%, 87%, 84%, and 85%, respectively. Primary patency was higher (P ≤ .05) for VBX Stent Graft than that for V12/iCast Stent Graft at 6 months (odds ratio [OR], 3.1), 12 months (OR, 2.2), and 24 months (OR, 2.8). The fTLR was also higher for VBX Stent Graft at 24 months (OR, 1.8; P = .042). This updated systematic review and meta-analysis and findings, although observational and not confirmatory, add to the body of evidence supporting the clinical utility of CBE stents in managing AIOD.

Towards Zero Energy Buildings (ZEBs) in Rural Areas: Chimera or Reality? A Systematic Literature Review and Thematic Content Analysis

Enhancing aviation safety with artificial intelligence: A systematic literature review on recent advances, challenges and future perspectives

This study examines how halal supply chain management influences supply chain performance in food and logistics settings where product integrity, food safety, and sustainability are increasingly scrutinized. The review is motivated by fragmented empirical findings and limited synthesis on how digital technologies shape the performance effects of halal practices. A systematic literature review was conducted by searching the Scopus database for English journal articles in business, management, and accounting published between 2014 and 2025. From an initial pool of 9,780 records, stepwise screening with the keywords supply chain management, halal supply chain management, supply chain performance, and halal product yielded nine studies for synthesis and bibliometric mapping with VosViewer. The findings indicate that strict physical segregation, end to end traceability, robust certification and labelling, organisational capabilities, and knowledge management enhance efficiency, flexibility, halal compliance, and market trust, leading to stronger operational and sustainable performance. The review also highlights opportunities for technologies such as blockchain, the Internet of Things, artificial intelligence, and immersive virtual environments to improve transparency and reduce contamination and data fraud risks. These insights call for cross industry empirical testing of mediating mechanisms and infrastructure readiness to support more adaptive halal supply chains.