bluuebunny/crossref_metadata_2025_split huggingface dataset:
The state of the art in telerehabilitation for musculoskeletal conditions
Authors: Baroni Marina P. , Jacob Maria Fernanda A. , Rios Wesley R. , Fandim Junior V. , Fernandes Lívia G. , Chaves Pedro I. , Fioratti Iuri , Saragiotto Bruno T. 
Published: January 2023

Abstract
Background
Given the rapid advances in communication technology and the need that emerged from the COVID-19 pandemic, telehealth initiatives have been widely used worldwide. This masterclass aims to provide an overview of telerehabilitation for musculoskeletal conditions, synthesizing the different terminologies used to describe telehealth and telerehabilitation, its effectiveness and how to use it in clinical practice, barriers and facilitators for the implementation in health services, and discuss the need of a curriculum education for the near future.

Main body
Telerehabilitation refers to the use of information and communication technologies provided by any healthcare professionals for rehabilitation services. Telerehabilitation is a safe and effective option in the management of musculoskeletal conditions in different models of delivery. There are many technologies, with different costs and benefits, synchronous and asynchronous, that can be used for telerehabilitation: telephone, email, mobile health, messaging, web-based systems and videoconferences applications. To ensure a better practice of telerehabilitation, the clinician should certify safety and access, and appropriateness of environment, communication, technology, assessment, and therapeutic prescription. Despite the positive effect of telerehabilitation in musculoskeletal disorders, a suboptimal telerehabilitation implementation may have happened due to the COVID-19 pandemic, especially in countries where telehealth was not a reality, and clinicians lacked training and guidance. This emphasizes the need to identify the necessary curriculum content to guide future clinicians in their skills and knowledge for telerehabilitation. There are some challenges and barriers that must be carefully accounted for to contribute to a health service that is inclusive and relevant to health professionals and end users.

Conclusions
Telerehabilitation can promote patient engagement in health care and plays an important role in improving health outcomes in patients with musculoskeletal conditions. Digital health technologies can also offer new opportunities to educate patients and facilitate the process of behavior change to a healthy lifestyle. Currently, the main needs in telerehabilitation are the inclusion of it in health curriculums in higher education and the development of cost-effectiveness and implementation trials, especially in low- and middle-income countries where access, investments and digital health literacy are limited.
Practical autoencoder based anomaly detection by using vector reconstruction error
Authors: Torabi Hasan , Mirtaheri Seyedeh Leili , Greco Sergio 
Published: January 2023

AbstractNowadays, cloud computing provides easy access to a set of variable and configurable computing resources based on user demand through the network. Cloud computing services are available through common internet protocols and network standards. In addition to the unique benefits of cloud computing, insecure communication and attacks on cloud networks cannot be ignored. There are several techniques for dealing with network attacks. To this end, network anomaly detection systems are widely used as an effective countermeasure against network anomalies. The anomaly-based approach generally learns normal traffic patterns in various ways and identifies patterns of anomalies. Network anomaly detection systems have gained much attention in intelligently monitoring network traffic using machine learning methods. This paper presents an efficient model based on autoencoders for anomaly detection in cloud computing networks. The autoencoder learns a basic representation of the normal data and its reconstruction with minimum error. Therefore, the reconstruction error is used as an anomaly or classification metric. In addition, to detecting anomaly data from normal data, the classification of anomaly types has also been investigated. We have proposed a new approach by examining an autoencoder’s anomaly detection method based on data reconstruction error. Unlike the existing autoencoder-based anomaly detection techniques that consider the reconstruction error of all input features as a single value, we assume that the reconstruction error is a vector. This enables our model to use the reconstruction error of every input feature as an anomaly or classification metric. We further propose a multi-class classification structure to classify the anomalies. We use the CIDDS-001 dataset as a commonly accepted dataset in the literature. Our evaluations show that the performance of the proposed method has improved considerably compared to the existing ones in terms of accuracy, recall, false-positive rate, and F1-score metrics.
Solitary sphenoid sinus benign lesions: management and prognostic values as retrospective audit of seven case series
Authors: Ouattassi Naouar , Laamarti Hajar , Cheikhhamoud Zakaria , Chafai Houda , Zaki Zouheir , El Alami Mohamed Nouredine El Amine 
Published: January 2023

Abstract
Background
Solitary sphenoid sinus pathology is uncommon. The deep position of the sphenoid sinus makes symptoms related to solitary sphenoid sinus pathology non-specific and contributes to a significant diagnosis delay. Moreover, surrounding anatomical elements cause its pathology to be potentially serious and make surgical management challenging.

Methods
This retrospective study includes 7 cases presented with primary benign sphenoid sinus pathology managed between January 2019 and January 2022. Epidemiological features, clinical aspects, and treatment modalities are presented.

Results
Six female patients and one male patient were operated; their age ranges from 11 to 67 years old. Etiologies are divided into infection, tumors, and pseudo tumors. Sphenoid sinus approach was performed through the sphenoethmoid recess in 5 cases, through the septum in one patient and through the ethmoid in one patient.

Conclusion
Endoscopic procedures have significantly improved the management of the sphenoid sinus pathology. They offer good access and control of the sphenoid pathology but require a perfect mastery of radiologic and endoscopic anatomy and its variations.
Mucosal microbiome is predictive of pediatric Crohn’s disease across geographic regions in North America
Authors: Shah Rajesh , Hoffman Kristi , Denson Lee , Kugathasan Subramaniam , Kellermayer Richard 
Published: January 2023

Background: Patients with Crohn’s disease (CD) have an altered intestinal microbiome, which may facilitate novel diagnostic testing. However, accuracy of microbiome classification models across geographic regions may be limited. Therefore, we sought to examine geographic variation in the microbiome of patients with CD from North America and test the performance of a machine learning classification model across geographic regions. Methods: The RISK cohort included 447 pediatric patients with CD and 221 non-inflammatory bowel disease controls from across North America. Terminal ileum, rectal and fecal samples were obtained prior to treatment for microbiome analysis. We divided study sites into 3 geographic regions to examine regional microbiome differences. We trained and tested the performance of a machine learning classification model across these regions. Results: No differences were seen in the mucosal microbiome of patients with CD across regions or in either the fecal or mucosal microbiomes of controls. Machine learning classification algorithms for patients with CD performed well across regions (area under the receiver operating characteristic curve [AUROC] range of 0.85-0.91) with the best results from terminal ileum. Conclusions: This study demonstrated the feasibility of microbiome based diagnostic testing in pediatric patients with CD within North America, independently from regional influences.
COMPUTER MODELING OF ECONOMIC PROCESSES USING FRACTAL ANALYSIS METHODS
Authors: Melnikova Julia V. , Lazhauninkas Julia V. 
Published: January 2023

The development of modern information and analytical technologies opens up new opportunities for economic analysis and forecasting of market situations. Many technologies of modern financial analysis are based on the efficient market hypothesis, according to which price changes in the securities market in logarithmic coordinates represent a random (Gauss) process. However, studies of the last 30 years show that this is not the case and the usual statistical model is not suitable for analyzing most economic indicators. The effective roar hypothesis is replaced by the fractal theory and the fractal market hypothesis based on the concept of self-similarity in different time scales. The article is devoted to the mathematical and statistical analysis of the dynamics of economic indicators based on the theory of fractals. The results of the fractal analysis of the time series of the dynamics of the EUR/RUB exchange rate for the period 2013-2022 by the method of the normalized Hearst swing are presented. The result of the study was the identification of the fractal properties of the specified time series, the proof of its nonlinearity and the presence of the effect of long-term memory in the dynamics. The results obtained prove the necessity of using specialized fractal methods for further research and forecasting the dynamics of time series with a self-similar statistical structure.
Purpose of the work is to analyze economic processes based on the tools of fractal mathematics.
The method or methodology of work: in the course of the research, general methodological principles of scientific cognition were used: comparative, analytical, abstract-logical analyses, economic-mathematical, economic-statistical models and modeling using modern software. The calculations were carried out using the application programs Microsoft Excel, Statistica, R, Matrixer.
Results: we have identified fractal properties of the financial time series, justified the need to use new methods of forecasting economic indicators.
Scope of the results: it is advisable to apply the obtained results to economists, traders and business analysts studying the dynamics of economic and financial indicators.
Rival Signals and Project Selection: Insights from the Drug Development Process
Authors: Markou Panos , Kavadias Stylianos , Oraiopoulos Nektarios 
Published: January 2023

Project selection decisions are complex because they must balance not only financial returns, project risk, and fit with strategy, but also competitive circumstances. A rival’s project development efforts provide two pieces of information: a market rivalry signal, indicating potentially heightened competition in a market, and a technological signal, indicating a possible solution to a problem in that market. We hypothesize that these signals affect a firm’s likelihood of project selection in opposite directions, and that the timing of the signals matters for selection. We examine the drug development pipelines of the top 15 pharmaceutical companies from 1999 to 2016 to examine how rival projects drive the decision to progress a drug from preclinical laboratory trials to clinical trials in humans. Early-stage rival projects provide a stronger market rivalry signal, and they are associated with a decreased likelihood of the firm selecting its own project to compete in the same market. Late-stage rival projects signal technological feasibility and are associated with an increase in the likelihood of selection. We then exploit heterogeneity in market potential (i.e., disorder prevalence/incidence) and a molecular compound’s technology (i.e., therapeutic modality) to independently manipulate the salience of the two signals. Finally, we provide evidence on how selection based on rival signals informs project success. Information from rival projects prompts the selection of more successful drugs, but only after a threshold when sufficient uncertainty has been resolved. This paper was accepted by Jayashankar Swaminathan, operations management. Supplemental Material: Data and the online appendix are available at https://doi.org/10.1287/mnsc.2022.4642 .
Multiple motion picture recording in light-in-flight recording by holography with an angular multiplexing technique
Authors: Inoue Tomoyoshi , Kakue Takashi , Nishio Kenzo , Kubota Toshihiro , Awatsuji Yasuhiro 
Published: January 2023

Light-in-flight recording by holography (LIF holography) is an ultrafast imaging technique for recording light pulse propagation as a motion picture. In this study, we propose and demonstrate multiple motion picture recordings of light pulse propagation by use of LIF holography with angular multiplexing. We set incident angles of reference light pulses to remove the difficulty in adjusting the optical path length difference between an object light pulse and reference light pulses and the complexity of the optical system. In the experiment, by using LIF holography with angular multiplexing, we succeeded in recording a propagating light pulse as two motion pictures with durations of 129.6 ps without an inseparable superimposition of the reconstructed images. In addition, cross talk between the recorded images, noise caused by cross-terms in an image plane, and the number of motion pictures that can be recorded are discussed.
Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium
Authors: Moal Bertrand , Orieux Arthur , Ferté Thomas , Neuraz Antoine , Brat Gabriel A. , Avillach Paul , Bonzel Clara-Lea , Cai Tianxi , Cho Kelly , Cossin Sébastien , Griffier Romain , Hanauer David A. , Haverkamp Christian , Ho Yuk-Lam , Hong Chuan , Hutch Meghan R. , Klann Jeffrey G. , Le Trang T. , Loh Ne Hooi Will , Luo Yuan , Makoudjou Adeline , Morris Michele , Mowery Danielle L. , Olson Karen L. , Patel Lav P. , Samayamuthu Malarkodi J. , Sanz Vidorreta Fernando J. , Schriver Emily R. , Schubert Petra , Verdy Guillaume , Visweswaran Shyam , Wang Xuan , Weber Griffin M. , Xia Zongqi , Yuan William , Zhang Harrison G. , Zöller Daniela , Kohane Isaac S. ,   The Consortium for Clinical Characterization of COVID-19 by EHR (4CE), Boyer Alexandre , Jouhet Vianney 
Published: January 2023

Purpose
In young adults (18 to 49 years old), investigation of the acute respiratory distress syndrome (ARDS) after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been limited. We evaluated the risk factors and outcomes of ARDS following infection with SARS-CoV-2 in a young adult population.

Methods
A retrospective cohort study was conducted between January 1st, 2020 and February 28th, 2021 using patient-level electronic health records (EHR), across 241 United States hospitals and 43 European hospitals participating in the Consortium for Clinical Characterization of COVID-19 by EHR (4CE). To identify the risk factors associated with ARDS, we compared young patients with and without ARDS through a federated analysis. We further compared the outcomes between young and old patients with ARDS.

Results
Among the 75,377 hospitalized patients with positive SARS-CoV-2 PCR, 1001 young adults presented with ARDS (7.8% of young hospitalized adults). Their mortality rate at 90 days was 16.2% and they presented with a similar complication rate for infection than older adults with ARDS. Peptic ulcer disease, paralysis, obesity, congestive heart failure, valvular disease, diabetes, chronic pulmonary disease and liver disease were associated with a higher risk of ARDS. We described a high prevalence of obesity (53%), hypertension (38%- although not significantly associated with ARDS), and diabetes (32%).

Conclusion
Trough an innovative method, a large international cohort study of young adults developing ARDS after SARS-CoV-2 infection has been gather. It demonstrated the poor outcomes of this population and associated risk factor.
Perceived discrimination based on the symptoms of covid-19, mental health, and emotional responses–the international online COVISTRESS survey
Authors: Dambrun Michaël , Bonetto Eric , Motak Ladislav , Baker Julien S. , Bagheri Reza , Saadaoui Foued , Rabbouch Hana , Zak Marek , Nasir Hijrah , Mermillod Martial , Gao Yang , Antunes Samuel , Ugbolue Ukadike Chris , Pereira Bruno , Bouillon-Minois Jean-Baptiste , Nugier Armelle , Clinchamps Maëlys , Dutheil Frédéric ,   The COVISTRESS network
Published: January 2023

Background
Despite the potential detrimental consequences for individuals’ health and discrimination from covid-19 symptoms, the outcomes have received little attention. This study examines the relationships between having personally experienced discrimination based on the symptoms of covid-19 (during the first wave of the pandemic), mental health, and emotional responses (anger and sadness). It was predicted that covid-19 discrimination would be positively related to poor mental health and that this relationship would be mediated by the emotions of anger and sadness.

Methods
The study was conducted using an online questionnaire from January to June 2020 (the Covistress network; including 44 countries). Participants were extracted from the COVISTRESS database (Ntotal = 280) with about a half declaring having been discriminated due to covid-19 symptoms (N = 135). Discriminated participants were compared to non-discriminated participants using ANOVA. A mediation analysis was conducted to examine the indirect effect of emotional responses and the relationships between perceived discrimination and self-reported mental health.

Results
The results indicated that individuals who experienced discrimination based on the symptoms of covid-19 had poorer mental health and experienced more anger and sadness. The relationship between covid-19 personal discrimination and mental health disappeared when the emotions of anger and sadness were statistically controlled for. The indirect effects for both anger and sadness were statistically significant.

Discussion
This study suggests that the covid-19 pandemic may have generated discriminatory behaviors toward those suspected of having symptoms and that this is related to poorer mental health via anger and sadness.
Surgical laser therapy for cryptoglandular anal fistula: Protocol of a systematic review and meta-analysis
Authors: Mei Zubing , Zhang Zhijun , Han Ye , Du Peixin , Yang Wei , Wang Qingming , Zheng De 
Published: January 2023

Introduction
Anal fistula is the natural evolution of perianal abscess and one of the most common perianal diseases for adults. For complex fistula, it is still very challenging for anorectal surgeons to manage. With the introduction of laser technique in surgery, it is becoming more and more widely used for the treatment of cryptoglandular anal fistula. During the past decade, numerous studies have reported the clinical effectiveness and postoperative outcomes of different forms of laser treatment for anal fistula. However, as these studies were varied in terms of baseline characteristics, the evidence for the true clinical effectiveness of laser treatment for anal fistula need further critical appraisal. Therefore, the purpose of this study is to evaluate the outcomes of surgical laser therapy for cryptoglandular anal fistula stratified by laser type and Parks’ classification through a synthesis of quantitative and qualitative evidence.

Methods and analysis
This study will be carried out with adherence to the Cochrane Handbook. We will search PubMed, Cochrane Library, and Embase until June, 2022 to identify all relevant interventional and observational studies examining the effects of laser therapy on the clinical outcomes for cryptoglandular anal fistula. Data extraction from eligible studies will be performed independently by two unblinded authors using standardized extraction forms. Risk of bias assessment for each study will be conducted using Cochrane tool for randomized controlled trials (RCTs) and the Newcastle–Ottawa scale (NOS) tool for observational studies. The DerSimonian-Laird random-effects model will be used to calculate the pooled estimates. Heterogeneity will be examined by subgroup analysis stratified by laser type and Parks’ classification and other study characteristics. Potential publication bias will be assessed by funnel plot symmetrical and Egger’s regression tests.

Conclusions
The synthesis of quantitative and qualitative evidence of this systemic review will yield updated and comprehensive evidence of laser treatment on specific outcomes, which can provide anorectal surgeons with high level evidence-based recommendations to improve patient care and clinical outcomes. OSF registration number: DOI 10.17605/OSF.IO/36ADW.
Conventional androgen deprivation therapy is associated with an increased risk of fracture in advanced prostate cancer, a nationwide population-based study
Authors: Chen Wei-Cheng , Li Jian-Ri , Wang Shian-Shiang , Chen Chuan-Shu , Cheng Chen-Li , Hung Sheng-Chun , Lin Ching-Heng , Chiu Kun-Yuan , Liao Po-Chi 
Published: January 2023

Purpose
Androgen deprivation therapy (ADT) is the standard of care in advanced prostate cancer. We conducted a Taiwan National Health Insurance Research Database (NHIRD) study to evaluate the association between ADT and fracture risk in patient with prostate cancer in Taiwan.

Methods
Between 2001 and 2008, data from the Taiwan NHIRD was collected. We separated newly diagnosed prostate cancer patients into four groups: the injection of gonadotropin-releasing hormone agonists and antagonists group, the orchiectomy group, the oral antiandorgens group and the radical prostatectomy only group. A non-cancer matched control group was also assigned for comparison. T tests, chi-squared tests, multivariate Cox proportional hazard regression were performed. A subsequent fracture event was defined according to the appropriate diagnosis codes (ICD9-CM 800–829) with hospitalization. Patients with fracture before their diagnosis with prostate cancer were excluded.

Results
Overall, 22517 newly diagnosed patients with prostate cancer were enrolled in the study. After exclusion criteria were applied, 13321 patients were separated into the injection group (5020 subjects), the orchiectomy group (1193 subjects), the oral group (6059 subjects) and the radical prostatectomy only group (1049 subjects). The mean age of the overall study population was 74.4 years. Multi-variant analysis disclosed a significantly increased risk of fracture in the injection group, the orchiectomy group, and the oral group (hazard ratio [HR] = 1.55, 95%, confidence interval [CI] 1.36 to 1.76, p<0.001, HR = 1.95, 95%, CI 1.61 to 2.37, p<0.001, HR = 1.37, 95%, CI 1.22 to 1.53, p<0.001, respectively). In contrast, a significantly decreased fracture risk was noted in the radical prostatectomy only group (HR = 0.51, 95%, CI 0.35 to 0.74, p = 0.001). Patients receiving osteoporosis medication had a significantly decreased fracture risk (HR = 0.26, 95%, CI 0.19–0.37, p<0.001).

Conclusions
ADT is associated with an increased risk of fracture. For patients receiving long-term prostate cancer castration therapy, doctors should always keep this complication in mind and arrange proper monitoring and provide timely osteoporosis medication.