bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dermatologic laser-induced ocular and periocular complications: a review
Authors: Bonińska Karolina 
Published: October 2023

AbstractThis study aimed to discuss severe ocular and periocular complications after dermatological laser treatment. This literature review evaluated published journal articles (clinical trials or scientific reviews) extracted from electronic databases (MEDLINE and PubMed) and the reference lists of related articles. Individual eyeball structures, such as chromophores, were found to interact with laser radiation. The type of damage was found to be influenced by the wavelength emitted by the laser-active medium. Moreover, in the absence of proper protection of the eyeballs, the structures that are crucial for vision can be damaged. In conclusion, laser treatment can also cause serious and irreversible complications. Appropriate patient selection, intraoperative techniques, early identification, and interventions for adverse postoperative effects are crucial to avoid major complications and even blindness.
Constructing an extracellular matrix-related prognostic model for idiopathic pulmonary fibrosis based on machine learning
Authors: Luo Hong , Yan Jisong , Zhou Xia 
Published: October 2023

Abstract
Background
Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive interstitial lung disease. Multiple research has revealed that the extracellular matrix (ECM) may be associated with the development and prognosis of IPF, however, the underlying mechanisms remain incompletely understood.

Methods
We included GSE70866 dataset from the GEO database and established an ECM-related prognostic model utilizing LASSO, Random forest and Support vector machines algorithms. To compare immune cell infiltration levels between the high and low risk groups, we employed the ssGSEA algorithm. Enrichment analysis was conducted to explore pathway differences between the high-risk and low-risk groups. Finally, the model genes were validated using an external validation set consisting of IPF cases, as well as single-cell data analysis.

Results
Based on machine learning algorithms, we constructed an ECM-related risk model. IPF patients in the high-risk group had a worse overall survival rate than those in the low-risk group. The model’s AUC predictive values were 0.786, 0.767, and 0.768 for the 1-, 2-, and 3-year survival rates, respectively. The validation cohort validated these findings, demonstrating our model’s effective prognostication. Chemokine-related pathways were enriched through enrichment analysis. Moreover, immune cell infiltration varied significantly between the two groups. Finally, the validation results indicate that the expression levels of all the model genes exhibited significant differential expression.

Conclusions
Based on CST6, PPBP, CSPG4, SEMA3B, LAMB2, SERPINB4 and CTF1, our study developed and validated an ECM-related risk model that accurately predicts the outcome of IPF patients.
Negative pressure wound therapy for flap closed-incisions after 3D-printed prosthesis implantation in patients with chronic osteomyelitis with soft tissue defects
Authors: Lin Zhiyu , Zhang Xinling , Chen Yujie , Tian Yun , Yang Xin , Zhao Zhenmin 
Published: October 2023

Abstract
Background
The flap closed-incisions healing after 3D-printed prosthesis implantation in Chronic Osteomyelitis with Soft Tissue Defects (COSTD) is critical. This study aimed to explore the safety and effectiveness of Negative Pressure Wound Therapy (NPWT) in promoting flap closed-incisions healing.

Methods
Retrospective analysis of clinical data was performed, including baseline, surgical and hospitalization information. The efficacy of NPWT was assessed by comparing the ASEPSIS scores, Visual Analogue Scale (VAS), Activity of Daily Living Scale (ADLS), and Lower Extremity Functional Scale (LEFS), as well as the major postoperative complications.

Results
The study included 20 patients, 13 received conventional dressing (Control group) and 7 received NPWT treatment (NPWT group). These two groups exhibited a notable disparity in the distribution of ASEPSIS scores, and the median scores were 24 in Control group and 9 in NPWT group (p = 0.001). Eight patients in the Control group experienced major incisional complications, including 7 cases of exudation, 3 cases of infection, 2 cases of non-healing, and 1 case of dehiscence, while none were observed in the NPWT group (p = 0.015). The VAS, ADLS, and LEFS scores were significantly improved in the NPWT group compared to the Control group (p = 0.003, 0.017, and 0.043, respectively).

Conclusions
The study findings suggest that NPWT applied to the healing process of flap closed-incisions after 3D prosthesis implantation in patients with COSTD can reduce the occurrence of postoperative major complications and promote the recovery of lower limb function and daily activities, which should be recommended for clinical practice.
Effectiveness of sensory adaptive dental environments to reduce psychophysiology responses of dental anxiety and support positive behaviours in children and young adults with intellectual and developmental disabilities: a systematic review and meta-analyses
Authors: Reynolds Kaitlyn , Chimoriya Ritesh , Chandio Navira , Tracey Danielle , Pradhan Archana , Fahey Paul , Stormon Nicole , Arora Amit 
Published: October 2023

AbstractBackgroundPeople with Intellectual and developmental disabilities (IDDs) experience oral health inequality due to myriad of risk factors and complex needs. Sensory processing difficulties, maladaptive behaviours and dental anxiety contribute to difficulties in receiving preventive and routine dental treatments. This study aimed to systematically review the evidence on the effectiveness of sensory adaptive dental environments (SADE) for children and young adults (up to the ages 24 years) with IDD to address cooperation and dental anxiety.MethodsThis review was reported according to The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. MEDLINE (Ovid), The Cochrane Library, Embase, Google Scholar, Web of Science and OT Seeker were searched using appropriate terms to identify Randomised Control Trails (RCTs) that matched inclusion criteria. Screening was conducted by two reviewers after de-duplication based on titles and abstracts followed by full text retrieval. Quality of the included studies was assessed using Cochrane Risk of Bias (ROB)-2 for crossover trials and data extracted by two reviewers. The details of the interventions and effectiveness were compared and discussed narratively, and comparable outcomes were included to meta-analyses using R software.ResultsA total of 622 articles were identified and five articles met eligibility for inclusion. Three studies used multi-sensory adaptations and one used single sensory adaptation of music. Narrative synthesis showed some evidence of SADE reducing magnitude and duration, although, questionable for reducing the number of maladaptive behaviours. Two studies demonstrated conflicting evidence of the effect of SADE on cooperation. Three studies demonstrated significant positive impact of SADE on psychophysiological outcomes. Despite an overall tendency to favour SADE, no statistically significant difference of maladaptive behaviours was found between SADE and regular dental environment (RDE) (Standardised mean change (SMC) = 0.51; 95% Confidence Interval (CI) -0.20 to 1.22;p = 0.161). SADE was superior to RDE (SMC -0.66; 95% CI -1.01 to -0.30;p =  < 0.001) in reducing psychophysiological responses of dental anxiety.ConclusionCurrent evidence suggests that adapting visual, tactile, and auditory aspects of the dental environment in a single or multi-sensory approach demonstrates small positive effects on psychophysiological responses and maladaptive behaviours of dental anxiety for people with IDD.Trial registrationThe title of this review was registered with PROSPERO (CRD42022322083).
Maxillary gingival neurolemmoma: a case report and literature review
Authors: Zhang Xiangzi , Gao Qiming , Xuan Yunze 
Published: October 2023

Abstract
Objective
To explore and summarize the clinical features, differential diagnosis and treatment of the oral maxillofacial schwandoma.

Case presentation
This is a report of a case of a 46-year-old female patients with neurolemmoma in the maxillary gingiva. The clinical features, pathological features, differential diagnosis and treatment were analyzed. Literature review was conducted in search of domestic and overseas journal full-text database from 1986 ~ 2017. 39 reports on the oral and maxillofacial Neurolemmoma from 1986 to 2017 in the database of China hospital knowledge database and the PubMed database, there were 405 patients. There were 23 cases of gingival mucosa, 17 in foreign literature and only 6 in the domestic literature.

Conclusions
The incidence of gingival Neurolemmoma is extremely low, the predilection age is similar to other parts, it is middle-aged and young, and there is no obvious gender tendency. About 25–45% of schwannomas are found in the head and neck, and rarely in the mouth (only 1%). The most common internal location of the mouth is the tongue, followed by the floor of the mouth, buccal mucosa, palate, gums, and lips. Schwannomas are slow-growing benign tumors that are rare in the gums. Gingival schwannoma is usually a single occurrence, and the clinical manifestations are mostly painless gum mass, tooth loosening and displacement, without peripheral bone changes and regional lymph node metastasis. It is difficult to diagnose this tumor according to clinical manifestations, and pathological diagnosis is still the basis for the diagnosis of gingival schwannoma. So far, surgical resection is the preferred treatment for this disease, and the prognosis is good.
Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals
Authors: Daydulo Yared Daniel , Thamineni Bheema Lingaiah , Dawud Ahmed Ali 
Published: October 2023

Abstract
Background
Cardiac arrhythmia is a cardiovascular disorder characterized by disturbances in the heartbeat caused by electrical conduction anomalies in cardiac muscle. Clinically, ECG machines are utilized to diagnose and monitor cardiac arrhythmia noninvasively. Since ECG signals are dynamic in nature and depict various complex information, visual assessment and analysis are time consuming and very difficult. Therefore, an automated system that can assist physicians in the easy detection of arrhythmia is needed.

Method
The main objective of this study was to create an automated deep learning model capable of accurately classifying ECG signals into three categories: cardiac arrhythmia (ARR), congestive heart failure (CHF), and normal sinus rhythm (NSR). To achieve this, ECG data from the MIT-BIH and BIDMC databases available on PhysioNet were preprocessed and segmented before being utilized for deep learning model training. Pretrained models, ResNet 50 and AlexNet, were fine-tuned and configured to achieve optimal classification results. The main outcome measures for evaluating the performance of the model were F-measure, recall, precision, sensitivity, specificity, and accuracy, obtained from a multi-class confusion matrix.

Result
The proposed deep learning model showed overall classification accuracy of 99.2%, average sensitivity of 99.2%, average specificity of 99.6%, average recall, precision and F- measure of 99.2% of test data.

Conclusion
The proposed work introduced a robust approach for the classification of arrhythmias in comparison with the most recent state of the art and will reduce the diagnosis time and error that occurs in the visual investigation of ECG signals.
Impact of multidisciplinary care of diabetic foot infections for inpatients at Campbelltown Hospital
Authors: Choi Timothy , Osuagwu Uchechukwu Levi , Tran Chau , Bulsari Krupali , Simmons David 
Published: October 2023

Abstract
Background
Diabetic foot infection (DFI), including diabetic foot ulcer, is a serious complication of diabetes, particularly in the South Western Sydney (SWS) region where it is a leading cause of diabetes-related hospitalisations. Multidisciplinary team (MDT) involvement is effective at improving the health outcomes of DFI patients. This study investigated the impact of MDT (High Risk Foot Service, HRFS) on the length of stay and surgical outcomes of inpatients with DFI in a Sydney tertiary hospital.

Method
A retrospective audit of electronic medical records of inpatient admissions for DFI at Campbelltown Hospital between January 2019 - December 2021, was performed. The main outcome of the study was MDT involvement, defined as having two or more specialities involved in the patient’s treatment. The other measured variables included length of stay (defined as the total duration from admission to discharge), and surgical outcomes including debridement, minor amputation, and major amputation.

Results
Over the three years, 78 participants presented to the hospital for 89 unique DFI admissions. There were 24 admissions in 2019, 28 admissions in 2020, and 37 admissions in 2021, with MDT attendance showing a steady increase at 62.5%, 75.0% and 83.8% respectively. Patients with serious comorbidities such as chronic kidney disease were more likely to have MDT involvement (84.8% vs. 15.2%, P = 0.048). Imaging was more likely to be performed with MDT involvement (78.8% vs. 21.3%, p < 0.05). Comparing patients who received and did not receive MDT care, the mean HbA1c (%) (8.4 ± 2.0 vs. 8.2 ± 2.7, P = 0.701), median length of stay (LOS: 7.8, IQR 15.0 days vs. 4.8 IQR 7.9 days, P = 0.243) and rate of surgical outcomes (74.6% vs. 72.7%, P = 0.262) were similar. Patients who required major amputation had significantly longer LOS (24 days, IQR 21.5 vs. 5.2 days, IQR 13.0, P = 0.004) but similar HbA1c (P = 0.552) compared to those who had conservative intervention.

Conclusion
Adopting an MDT approach was associated with more thorough investigation of DFI, with similar rates of surgical outcomes. Further research on the impacts of MDT on length of stay and surgical outcomes of DFI patients in other SWS hospitals is needed.
Growth hormone supplementation during ovarian stimulation in women with advanced maternal age undergoing preimplantation genetic testing for Aneuploidy
Authors: Sui Yilun , Xiao Min , Fu Jing , Li Lu , Xu Yining , Lei Caixia , Sun Xiaoxi 
Published: October 2023

Abstract
Background
Studies have shown that supplementation with recombinant human GH (rh-GH) during ovarian stimulation (OS) may improve the ovarian response and clinical outcomes of IVF. However, it remains unclear whether GH is associated with the ploidy status of embryos, and therefore, is unable to explain the underlying reason for the effect of GH on IVF outcomes. This study aimed to investigate whether GH supplementation in women with advanced maternal age (AMA) during OS is related to an increased probability of obtaining euploid blastocysts.

Methods
This was a single center retrospective cohort study. The data of all women aged 38–46 years who underwent their first preimplantation genetic testing for aneuploidy (PGT-A) cycle between January 2021 and June 2022 were reviewed. Patients in the GH group received 4 IU/day subcutaneous GH supplementation from the beginning of OS to the trigger day, and patients in the control group did not. A total of 140 patients in the GH group and 272 patients in the control group were included after 1:2 propensity score matching.

Results
The baseline and cycle characteristics between the two groups were similar. The proportion of cycles which obtained euploid blastocysts was significantly higher in the GH group than that in the control group (41.43% vs. 27.21%, P = 0.00). The GH group had a significantly higher euploid blastocyst rate per cohort (32.47% vs. 21.34%, P = 0.00) and mean euploid blastocyst rate per cycle (per biopsy cycle 0.35 ± 0.40 vs. 0.21 ± 0.33, P = 0.00; per OS cycle 0.27 ± 0.38 vs. 0.16 ± 0.30, P = 0.02). However, the benefit of GH was more significant in patients aged 38–40 years, but not significant in patients aged 41–46 years. Pregnancy outcomes were similar between the two groups after embryo transfer.

Conclusions
GH supplementation during OS is associated with a significantly increased probability of obtaining euploid blastocysts in women aged 38–40 years, but this benefit is not significant in women aged 41–46 years. Our results explained the underlying reason for the effect of GH on IVF outcomes in existing studies, and might be helpful for AMA patients undergoing PGT-A cycles to obtain a better outcome meanwhile to avoid over-treatment.

Trial registration
NCT05574894, www.clinicaltrials.gov.
Seven-day, free-living, objectively-measured ambulatory activity: a data set from the Dikgale Health and Demographic Surveillance System site, Limpopo Province, South Africa
Authors: Cook Ian 
Published: October 2023

Abstract
Objectives
To investigate first, the level, distribution, patterns and prevalence of seven-day, objectively-measured physical activity (ambulation) in a rural health and demographic surveillance system (HDSS) site in South Africa, across demographic, temporal and anthropometric measures, within a sample of adolescent and adult participants from a defined ethnic group. Second, to investigate the strength and direction of association between levels of adiposity and physical activity (ambulation).

Data description
The data collected comprises anonymized, individual-level, seven-day pedometry data from a cross-sectional, conveniently sampled survey conducted in 2005–2007. The data includes daily steps and daily activity energy expenditure, basic demographic and temporal information (age, sex, village, day, season) and anthropometric measures (stature, body mass, waist and hip circumference, skinfold thickness) and resting heart rate and blood pressure. Given that this data set was of the first large-scale surveys of objectively-measured physical activity in a South African sample, it could be useful for inclusion in future ecological studies investigating the trend of physical activity over time in the South African population. In addition, this objectively-measured data could provide a useful triangulation point for the interpretation and validation of surveys conducted using self-report measures, especially within rural communities.
RETRACTED ARTICLE: Hierarchical energy-saving routing algorithm using fuzzy logic in wireless sensor networks
Authors: Wang Dan , Wu Qing , Hu Ming 
Published: October 2023

AbstractCurrently, sensor energy assembly in wireless sensor networks is limited, and clustering methods are not effective to improve sensor energy consumption rate. Thus, a hierarchical energy-saving routing algorithm based on fuzzy logic was constructed by considering three aspects: residual energy value, centrality, and distance value between nodes and base stations. The remaining sensor nodes selected by fuzzy logic algorithm have a longer time to live and greater residual energy than those selected by low-power adaptive clustering hierarchical protocol algorithm, fuzzy unequal clustering algorithm, and fuzzy logic cluster head election algorithm. For network life cycle, the number of rounds in which the first dead node appears, in descending order, is studied: energy-saving routing algorithm (400 rounds) > new geographic cellular structure algorithm (300 rounds) > virtual grid based dynamic routes adjustment algorithm (100 rounds). Under the same experimental round, energy-saving routing algorithm’s remaining energy curve always reaches its maximum. The energy-saving routing algorithm by fuzzy logic constructed by this research institute can significantly improve network energy utilization, which has certain reference value.
Modeling control strategies for prosumers in a Python-based modular simulation tool
Authors: Schoen Andrea , Ringelstein Jan , Mende Denis , Braun Martin 
Published: October 2023

AbstractThe planned massive increase of producers and consumers such as electric vehicles, heat pumps and photovoltaic systems in distribution grids will lead to new challenges in the electrical power system. These can include grid congestions at the low voltage level but also at higher voltage levels. Control strategies can enable the efficient use of flexibilities and therefore help mitigate upcoming problems. However, they need to be evaluated carefully before their application in the energy system to avoid any unwanted effects and to choose the most fitting strategy for each application. In this publication, a Python-based modular simulation tool for developing and analysing control strategies for prosumers, which uses (Thurner et al. 2018), is presented. It is intended for sequential simulations and enables detailed operational analyses, which include evaluating the influence on grid situations, the necessary behavior of energy system components, required measurements and communications. This publication also gives an overview of control strategies, existing simulation tools, how the modular simulation tool fits in and illustrates its functionalities in an application example, which further highlights its versatility and efficiency. Time series simulations with the tool allow analyses regarding the effect of control strategies on power flow results. Moreover, the simulation tool also facilitates evaluating the behavior of energy system components (e.g. distribution substations), necessary communications and measurements as well as any faults that might occur.
From computer systems to power systems: using stochastic network calculus for flexibility analysis in power systems
Authors: Fürmann Tim , Lechl Michael , de Meer Hermann , Weidlich Anke 
Published: October 2023

AbstractAs power systems transition from controllable fossil fuel plants to variable renewable sources, managing power supply and demand fluctuations becomes increasingly important. Novel approaches are required to balance these fluctuations. The problem of determining the optimal deployment of flexibility options, considering factors such as timing and location, shares similarities with scheduling problems encountered in computer networks. In both cases, the objective is to coordinate various distributed units and manage the flow of either data or power. Among the methods for scheduling and resource allocation in computer networks, stochastic network calculus (SNC) is a promising approach that estimates worst-case guarantees for Quality of Service (QoS) indicators of computer networks, such as delay and backlog. Promising QoS indicators in the power system are given by the amount of stored energy, the serviced demand, and the demand elasticity. In this work, we investigate SNC for its capabilities and limitations to quantify flexibility service guarantees in power systems. We generate and aggregate stochastic envelopes for random processes, which was found useful for modeling flexibility in power systems at multiple time scales. In a case study on the reliability of a solar-powered car charging station, we obtain similar results as from a mixed-integer linear programming problem, which provides confidence that the chosen SNC approach is suitable for modeling power system flexibility.