bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of synthetic dataset generation methods for medical intervention rooms using medical clothing detection as an example
Authors: Schülein Patrick , Teufel Hannah , Vorpahl Ronja , Emter Indira , Bukschat Yannick , Pfister Marcus , Rathmann Nils , Diehl Steffen , Vetter Marcus 
Published: August 2023

Abstract
Purpose
The availability of real data from areas with high privacy requirements, such as the medical intervention space is low and the acquisition complex in terms of data protection. To enable research for assistance systems in the medical intervention room, new methods for data generation for these areas must be researched. Therefore, this work presents a way to create a synthetic dataset for the medical context, using medical clothing object detection as an example. The goal is to close the reality gap between the synthetic and real data.

Methods
Methods of 3D-scanned clothing and designed clothing are compared in a Domain-Randomization and Structured-Domain-Randomization scenario using two different rendering engines. Additionally, a Mixed-Reality dataset in front of a greenscreen and a target domain dataset were used while the latter is used to evaluate the different datasets. The experiments conducted are to show whether scanned clothing or designed clothing produce better results in Domain Randomization and Structured Domain Randomization. Likewise, a baseline will be generated using the mixed reality data. In a further experiment it is investigated whether the combination of real, synthetic and mixed reality image data improves the accuracy compared to real data only.

Results
Our experiments show, that Structured-Domain-Randomization of designed clothing together with Mixed-Reality data provide a baseline achieving 72.0% mAP on the test dataset of the clinical target domain. When additionally using 15% (99 images) of available target domain train data, the gap towards 100% (660 images) target domain train data could be nearly closed 80.05% mAP (81.95% mAP). Finally, we show that when additionally using 100% target domain train data the accuracy could be increased to 83.35% mAP.

Conclusion
In conclusion, it can be stated that the presented modeling of health professionals is a promising methodology to address the challenge of missing datasets from medical intervention rooms. We will further investigate it on various tasks, like assistance systems, in the medical domain.
Antimicrobial activities of metabolites isolated from endophytic Aspergillus flavus of Sarcophyton ehrenbergi supported by in-silico study and NMR spectroscopy
Authors: Singab Abdel Nasser B. , Elkhawas Yasmin A. , Al-Sayed Eman , Elissawy Ahmed M. , Fawzy Iten M. , Mostafa Nada M. 
Published: August 2023

Abstract
Background
Endophytic Aspergillus species produce countless valuable bioactive secondary metabolites. In the current study, Aspergillus flavus an endophyte from the soft coral Sarcophyton ehrenbergi was chemically explored and the extracted phytoconstituents were subsequently evaluated for antimicrobial activity. This is accomplished by employing nuclear magnetic resonance (NMR) spectroscopy and computational techniques. Additionally, An in vitro anticancer analysis of A. flavus total extract against breast cancer cells (MCF-7) was investigated.

Result
Six compounds were separated from the crude alcohol extract of the endophytic Aspergillus flavus out of which anhydro-mevalonolactone was reported for the first time. The anti-fungal and anti-Helicobacter pylori properties of two distinct compounds (Scopularides A and B) were assessed. Additionally, computational research was done to identify the binding mechanisms for all compounds. Both the compounds were found to be active against H. pylori with minimum inhibitory concentration (MIC) values ranging from 7.81 to 15.63 µg/ mL as compared with clarithromycin 1.95 µg/ mL. Scopularides A was potent against both Candida albicans and Aspergillus niger with MIC values ranging from 3.9 to 31.25 µg/ mL, while scopularides B only inhibits Candida albicans with MIC value of 15.63 µg/ mL and weak inhibitory activity against A. niger (MIC = 125 µg/ mL). Furthermore, cytotoxic activity showed a significant effect (IC50: 30.46 mg/mL) against MCF-7 cells.

Conclusion
Our findings report that cytotoxic activity and molecular docking support the antimicrobial activity of Aspergillus flavus, which could be a promising alternative source as a potential antimicrobial agent.
General anesthetic management in two patients with an anaphylaxis history cholinergic urticaria
Authors: Kotera Atsushi 
Published: August 2023

Abstract
Background
Cholinergic urticaria is triggered by an increased body temperature after exercise, passive warming, or emotional stresses. The anesthetic management used for two patients with an anaphylaxis history after cholinergic urticaria is described.

Case presentation
Patient 1: A 34-year-old female was scheduled for a right-side thyroidectomy. At 27 years old, she experienced post-exercise anaphylaxis and repeated episodes of hives following exercise, sunbathing, mental stresses, and the consumption of spicy foods. Patient 2: A 35-year-old female was scheduled for a laparoscopic ovarian cystectomy. At 19 years old, she experienced anaphylaxis after a long bath and then hives after hot showers, bicycle riding, and long walks. For both patients, intraoperative passive warming was not performed to prevent excessive warming, and prophylactic antiemetics and multimodal analgesia were used to minimize their perioperative stresses.

Conclusion
Careful anesthetic management is necessary to prevent anaphylaxis during anesthesia in a patient with a history of cholinergic urticaria.
Baseline vitamin D levels and functional outcome in thrombolyzed stroke patients
Authors: Masoud Mohammed M. , Ramadan Alshaimaa Yassin , AbdelAziz Manar Mahmoud , Soliman Rash H. , ElMonem Noha A. Abd 
Published: August 2023

Abstract
Background
The primary treatment for acute ischemic stroke (AIS) patients is intravenous recombinant tissue plasminogen activator (IV rt-PA). A link between vitamin D insufficiency and worse post-stroke outcomes and more severe strokes was suggested. The present study aimed to assess the prognostic significance of baseline vitamin D levels in AIS patients treated with rt-PA. The present prospective study was conducted 66 patients with acute ischemic stroke within the therapeutic window and treated with rt-PA. Vitamin D levels were assessed using commercial double antibody sandwich enzyme linked immunosorbent assay. The primary study outcome is patient disability of any degree as assessed by the modified Rankin scale (mRS).

Results
The present study included 66 ischemic stroke patients treated with rt-PA. At baseline, there were 37 patients (56.1%) with low vitamin D levels. Comparison between patients with normal and low vitamin D levels regarding baseline data revealed that the former group were significantly younger and had significantly smaller infarct size patients with normal vitamin D had significantly lower NIHSS at day 2 and day 7. Interestingly, patients with low vitamin D levels had significantly higher frequency of rt-PA related hemorrhage, higher frequency of chest infection, longer hospital stay and higher mRS at 90 days. Multivariate logistic regression analysis identified vitamin D level as significant predictor of functional outcome at 90 days.

Conclusions
Baseline vitamin D levels is considered a significant predictor of functional outcome in AIS patients treated with rt-PA. It’s also related to infarct size and treatment complications.
Arithmetic hip knee angle measurement on long leg radiograph versus computed tomography—inter-observer and intra-observer reliability
Authors: Gieroba Tom Jan , Marasco Sofia , Babazadeh Sina , Di Bella Claudia , van Bavel Dirk 
Published: August 2023

Abstract
Background
Pre-operative alignment is important for knee procedures including total knee arthroplasty (TKA), especially when considering alternative alignments. The arithmetic Hip Knee Angle (aHKA) is a measure of coronal alignment calculated using the medial proximal tibial (MPTA) and lateral distal femoral angles (LDFA). Traditionally, aHKA is measured on long leg radiographs (LLR). This study assesses the reproducibility of aHKA measurement on LLR and robotic-assisted TKA planning CT.

Methods
Sixty-eight TKA patients with pre-operative LLR and planning CTs were included. Three observers measured the LDFA, MPTA and aHKA three times on each modality and intra-observer and inter-observer reliability was calculated. Statistical analysis was undertaken with Pearson’s r and the Bland–Altman test.

Results
Mean intra-observer coefficient of repeatability (COR) for LLR vs. CT: MPTA 3.50° vs. 1.73°, LDFA 2.93° vs. 2.00° and aHKA 2.88° vs. 2.57° for CT. Inter-observer COR for LLR vs. CT: MPTA 2.74° vs. 1.28°, LDFA 2.31° vs. 1.92°, aHKA 3.56° vs. 2.00°. Mean intra-observer Pearson’s r for MPTA was 0.93 for LLR and 0.94 for CT, LDFA 0.90 for LLR and 0.91 for CT and aHKA 0.92 for LLR and 0.94 for CT. Inter-observer Pearson’s r for LLR compared to CT: MPTA 0.93 vs. 0.97, LDFA 0.91 vs. 0.90, aHKA 0.91 and 0.95.

Conclusion
When compared to LLR, CT measurements of MPTA, LDFA and aHKA are more reproducible and have a good correlation with LLR measurement. CT overcomes difficulties with positioning, rotation, habitus and contractures when assessing coronal plane alignment and may obviate the need for LLRs.
Sustainable health—a call to action
Authors: Wanyenze Rhoda K. , Alfvén Tobias , Ndejjo Rawlance , Viberg Nina , Båge Karin , Batte Charles , Helldén Daniel , Lindgren Helena , Mayega Roy William , Ndeezi Grace , Peterson Stefan Swartling , Nawangwe Barnabas , Ottersen Ole Petter 
Published: August 2023

AbstractSustainablehealth, a multisectoral area for study, research, and practice towards improving health and well-being for all while staying within planetary boundaries, is a prerequisite to reaching the 2030 agenda and the work and journey towards a world in which everyone, everywhere can live a healthy and fulfilled life.
From quantum foam to graviton condensation: The Zel'dovich route
Authors: Tello Pablo G. , Succi Sauro , Bini Donato , Kauffman Stuart 
Published: August 2023

Abstract
Based on a previous ansatz by Zel'dovich for the gravitational energy of virtual particle-antiparticle pairs, supplemented with the holographic principle, we estimate the vacuum energy in a fairly reasonable agreement with the experimental values of the cosmological constant. We further highlight a connection between Wheeler's quantum foam and graviton condensation, as contemplated in the quantum N-portrait paradigm, and show that such connection also leads to a satisfactory prediction of the value of the cosmological constant. The above results suggest that the “unnaturally” small value of the cosmological constant may find a quite “natural” explanation once the nonlocal perspective of the large N-portrait gravitational condensation is endorsed.
Predicting Bilateral Subtypes of Primary Aldosteronism Without Adrenal Vein Sampling: A Systematic Review and Meta-analysis
Authors: Ng Elisabeth , Gwini Stella May , Zheng Winston , Fuller Peter J , Yang Jun 
Published: August 2023

Abstract

Context
Primary aldosteronism (PA) is the most common endocrine cause of hypertension. The final diagnostic step involves subtyping, using adrenal vein sampling (AVS), to determine if PA is unilateral or bilateral. The complete PA diagnostic process is time and resource intensive, which can impact rates of diagnosis and treatment. Previous studies have developed tools to predict bilateral PA before AVS.

Objective
Evaluate the sensitivity and specificity of published tools that aim to identify bilateral subtypes of PA.

Methods
Medline and Embase databases were searched to identify published models that sought to subtype PA, and algorithms to predict bilateral PA are reported. Meta-analysis and meta-regression were then performed.

Results
There were 35 studies included, evaluating 55 unique algorithms to predict bilateral PA. The algorithms were grouped into 6 categories: those combining biochemical, radiological, and demographic characteristics (A); confirmatory testing alone or combined with biochemical, radiological, and demographic characteristics (B); biochemistry results alone (C); adrenocorticotropic hormone stimulation testing (D); anatomical imaging (E); and functional imaging (F). Across the identified algorithms, sensitivity and specificity ranged from 5% to 100% and 36% to 100%, respectively. Meta-analysis of 30 unique predictive tools from 32 studies showed that the group A algorithms had the highest specificity for predicting bilateral PA, while group F had the highest sensitivity.

Conclusions
Despite the variability in published predictive algorithms, they are likely important for decision-making regarding the value of AVS. Prospective validation may enable medical treatment upfront for people with a high likelihood of bilateral PA without the need for an invasive and resource-intensive test.
Clinical Features and Outcome Analysis of Type B Insulin Resistance Syndrome: A Single-Center Study in China
Authors: Zhao Linlin , Li Wei , Liu Lv , Duan Lian , Wang Linjie , Yang Hongbo , Zhang Huabing , Li Yuxiu 
Published: August 2023

Abstract

Context
Type B insulin resistance syndrome (TBIRS) is a rare condition, for which effective treatment remains challenging.

Objective
This work aimed to summarize the clinical characteristics of TBIRS and explore effective therapeutic strategies.

Methods
The clinical manifestations, biochemical indices, and treatment of 8 patients (3 men and 5 women) with TBIRS from Peking Union Medical College Hospital were retrospectively analyzed and their clinical outcomes were evaluated.

Results
The average age of the patients was 49.5 ± 16.5 years, and the duration of the disease ranged from 2 months to 1 year. Seven patients with hyperglycemia had normal/lower triglycerides (TGs) and lower insulin-like growth factor 1 (IGF-1) levels. One patient complained of intractable hypoglycemia. Five patients had accompanied systemic lupus erythematosus, 2 had mixed connective tissue disease, and 1 had undifferentiated connective tissue disease. Five patients had acanthosis nigricans and 3 women of child-bearing age had hyperandrogenism. All 8 patients were treated with glucocorticoids combined with immunosuppressants, among whom, 5 received high-dose glucocorticoid pulse therapy followed by conventional-dose glucocorticoid therapy, all of whom achieved partial remission within 2 to 4 weeks. Among the 3 patients receiving conventional glucocorticoid therapy, 2 achieved partial remission within 2 to 4 weeks. Six patients were tracked for 10 weeks to 4 years; 4 and 2 achieved complete and partial remission, respectively.

Conclusion
Decreased serum complement 3 and IGF-1 levels and normal/decreased TG levels act as striking biochemical features of TBIRS. High-dose glucocorticoid pulse therapy followed by conventional-dose long-term therapy combined with immunosuppressants achieves good clinical efficacy.
Zebrafish regulatory genomic resources for disease modelling and regeneration
Authors: Jimenez Gonzalez Ada , Baranasic Damir , Müller Ferenc 
Published: August 2023

ABSTRACT
In the past decades, the zebrafish has become a disease model with increasing popularity owing to its advantages that include fast development, easy genetic manipulation, simplicity for imaging, and sharing conserved disease-associated genes and pathways with those of human. In parallel, studies of disease mechanisms are increasingly focusing on non-coding mutations, which require genome annotation maps of regulatory elements, such as enhancers and promoters. In line with this, genomic resources for zebrafish research are expanding, producing a variety of genomic data that help in defining regulatory elements and their conservation between zebrafish and humans. Here, we discuss recent developments in generating functional annotation maps for regulatory elements of the zebrafish genome and how this can be applied to human diseases. We highlight community-driven developments, such as DANIO-CODE, in generating a centralised and standardised catalogue of zebrafish genomics data and functional annotations; consider the advantages and limitations of current annotation maps; and offer considerations for interpreting and integrating existing maps with comparative genomics tools. We also discuss the need for developing standardised genomics protocols and bioinformatic pipelines and provide suggestions for the development of analysis and visualisation tools that will integrate various multiomic bulk sequencing data together with fast-expanding data on single-cell methods, such as single-cell assay for transposase-accessible chromatin with sequencing. Such integration tools are essential to exploit the multiomic chromatin characterisation offered by bulk genomics together with the cell-type resolution offered by emerging single-cell methods. Together, these advances will build an expansive toolkit for interrogating the mechanisms of human disease in zebrafish.
Game—DISASTER: Blockchain-Enabled Token Trading Game for Supply Chain Management
Authors: Wendt Kai , Hellwig Daniel , Babich Volodymyr , Huchzermeier Arnd 
Published: August 2023

This paper describes the blockchain-enabled token trading game for supply chain management, a web-based supply chain simulation. The game uses blockchain technology’s concepts to create virtual markets for supplier capacity trading among retailers, in which participants take on the role of a retailer, have different valuations for products, and submit an order before knowing their demand; after demand realization, participants trade tokens (claims on the supplier’s capacity) among themselves using virtual markets to maximize their profits. The game provides participants with firsthand experience with how blockchain technology can be used in practice, thus serving as an interactive pedagogical tool. More generally, the game is intended to help supply chain management and blockchain technology students and executives understand the challenges of serving uncertain customer demand and the role of virtual markets in providing an effective remedy for reconciling supply and demand, thus improving supply chain performance. Supplemental Material: The supplemental material is available at https://doi.org/10.1287/ited.2023.0015 . The Teaching Note and PowerPoint presentation are available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .
Competitive Algorithms for the Online Minimum Peak Job Scheduling
Authors: Escribe Célia , Hu Michael , Levi Retsef 
Published: August 2023

Algorithms to schedule medical appointments This paper was inspired by a field collaboration effort to develop and disseminate a real-time appointment scheduling decision support tool for an outpatient cancer infusion center in a large healthcare system. Two challenging aspects of scheduling daily medical appointments are that each patient is scheduled upon arrival without knowledge on future patients and that the appointments typically consume scarce physical resources (e.g., chairs, nurses, and doctors). A desirable schedule should have relatively smooth utilization over the course of a day to minimize the peak demand for the scarce resources. This paper develops new real-time (online) algorithms to schedule appointments in medical and other settings. It establishes theoretical properties of these algorithms, showing that they perform close to algorithms that could exploit full retrospective information on all the appointments. Additionally, it provides important insights to guide efficient real-time appointment scheduling policies in practice.
Evaluating user experience with immersive technology in simulation-based education: A modified Delphi study with qualitative analysis
Authors: Jacobs Chris , Foote Georgia , Williams Michael 
Published: August 2023

Background
Immersive technology is becoming more widespread in simulation-based medical education with applications that both supplement and replace traditional teaching methods. There is a lack of validated measures that capture user experience to inform of the technology utility. We aimed to establish a consensus of items and domains that different simulation experts would include in a measure for immersive technology use.

Methods
A 3-stage modified Delphi using online software was conducted to support the conceptual framework for the proposed measure. The first round was informed by prior work on immersive technology in simulation. In the first round, participants were asked to describe what we could measure in simulation-based education and technology. Thematic analysis generated key themes that were presented to the participants in the second round. Ranking of importance in round 2 was determined by mean rank scores. The final round was an online meeting for final consensus discussion and most important domains by experts were considered.

Results
A total of 16 simulation experts participated in the study. A consensus was reached on the ideal measure in immersive technology simulation that would be a user questionnaire and domains of interest would be: what was learnt, the degree of immersion experienced, fidelity provided, debrief, psychological safety and patient safety. No consensus was reached with the barriers that this technology introduces in education.

Conclusions
There is varied opinion on what we should prioritise in measuring the experience in simulation practice. Importantly, this study identified key areas that aids our understanding on how we can measure new technology in educational settings. Synthesising these results in to a multidomain instrument requires a systematic approach to testing in future research.
The impact of emotional intelligence on operational effectiveness: The mediating role of organizational citizenship behavior and leadership
Authors: Santa Ricardo , Moros Andreina , Morante Diego , Rodríguez Dorys , Scavarda Annibal 
Published: August 2023

Purpose
This article examines the influence of emotional intelligence on organizational citizenship behavior and transformational and transactional leadership, and the impact of these dimensions on operational effectiveness.

Design/Methodology
The analysis was based on 180 valid questionnaires from organizations in Colombia’s manufacturing sector of the Valle del Cauca region. The variables were analyzed using structural equation modeling to identify the relationships among the studied constructs.

Findings
The results suggest that emotional intelligence positively affects organizational citizenship behavior. Nevertheless, emotional intelligence does not impact transformational leadership and only partially affects transactional leadership and operational effectiveness. Emotional intelligence has a strong and positive impact on operational effectiveness when mediated by organizational citizenship behavior, which does have a strong and positive predictive power on operational effectiveness. Hence, in the search for competitive advantage, leaders should seek to improve operational effectiveness by focusing on developing emotional intelligence and organizational citizenship behaviour skills. Interestingly, of the two leadership styles examined in this study, only transactional leadership impacts operational effectiveness, which is inconsistent with the current literature and indicates a need for further leadership training.

Originality/Value
The value of this paper lies in discerning the current capabilities and strategies that individuals in an organization must address for proper transactional and transformational leadership. However, before operational effectiveness and a sustainable competitive advantage can be achieved, the role of leaders should be managed through the appropriate application of the concepts of emotional intelligence and organizational leadership behavior.