bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resilience enhancement in open network–cloud ecosystems through disaggregation and cooperation [Invited]
Authors: Xu Sugang , Ishii Kiyo , Yoshikane Noboru , Sahoo Subhadeep , Ferdousi Sifat , Shiraiwa Masaki , Hirota Yusuke , Tsuritani Takehiro , Tornatore Massimo , Awaji Yoshinari , Namiki Shu , Mukherjee Biswanath 
Published: October 2023

To accommodate the growing demand for cloud services, telecom carriers’ networks and datacenter (DC) facilities form large network–cloud ecosystems (ecosystems for short) physically supporting these services. These large-scale ecosystems are continuously evolving and must be highly resilient to support critical services. Open and disaggregated optical-networking technologies promise to enhance the interoperability across telecom carriers and DC operators, thanks to their open interfaces in both the data plane and control/management plane. In the first part of this paper, we focus on a single entity (e.g., a telecom carrier or an emerging telecom/DC partnership company) that owns both the network and DC infrastructures in the ecosystem. We introduce a solution by leveraging open and disaggregated technologies to enhance the resilience of the optical networks within a multi-vendor and multi-domain ecosystem. In the second part of this paper, we consider the case when the networks and DCs are owned by different entities. Also, in this case, cooperation among datacenter providers (DCPs) and carriers is crucial to provide failure/disaster resilience to today’s cloud services. However, such cooperation is more challenging since DCPs and carriers, being different entities, may not disclose confidential information, e.g., detailed resource availability. Hence, we introduce a solution to enhance the resilience of such multi-entity ecosystems through cooperation between DCPs and carriers without violating confidentiality.
Octogenarian patients and laser-assisted lead extraction: Should we put a limit?
Authors: Al-Maisary Sameer , Romano Gabriele , Karck Matthias , De Simone Raffaele , Kremer Jamila , Arif Rawa 
Published: October 2023

Background
Transvenous laser lead extraction (TLE) for cardiac implantable electric devices (CIED) is a challenging procedure especially if performed in octogenarians. In this study we evaluated the safety and efficacy of transvenous laser lead extraction in elderly patients.

Methods
This is a retrospective study of octogenarian patients who underwent laser-assisted lead extraction (LLE) (GlideLight laser sheath, Philips, San Diego, USA). 270 Consecutive patients were included. Patients were divided into two groups. Octogenarian group and non-octogenarian group. The Data was gathered from patients treated between September 2013 and January 2020 and is retrospectively analyzed.

Results
Of 270 consecutive patients, 38 (14.0%) were 80 years old or more. The total number of the extracted leads was 556 among which 84(15.0%) from the Octogenarian group. From these leads were 155 single coil leads, 82 dual coil leads, 129 right ventricular pacing leads, 155 right atrial leads, and 35 left ventricular leads. In the Octogenarian group the number of removed leads was as follows: 13 single coil leads, 10 dual coil leads, 28 right ventricular pacing leads, 28 right atrial leads and 5 left ventricular leads. No mortality was recorded in the Octogenarian group. One patient in the YG suffered from a superior vena cava tear and one patient suffered from pulmonary embolism.

Conclusion
In octogenarian laser assisted lead extraction patients is a safe and effective procedure. No increase in morbidity, mortality or perioperative complication could be recorded in this group. Age should not be a limiting factor to perform this procedure.
Association between clinical, serological, functional and radiological findings and ventilatory distribution heterogeneity in patients with rheumatoid arthritis
Authors: Bessa Elizabeth Jauhar Cardoso , Ribeiro Felipe de Miranda Carbonieri , Rodrigues Rosana Souza , Henrique da Costa Cláudia , Rufino Rogério , Pinheiro Geraldo da Rocha Castelar , Lopes Agnaldo José 
Published: October 2023

Background
In rheumatoid arthritis (RA), the involvement of the pulmonary interstitium can lead to structural changes in the small airways and alveoli, leading to reduced airflow and maldistribution of ventilation. The single-breath nitrogen washout (SBN2W) test is a measure of the ventilatory distribution heterogeneity and evaluates the small airways. This study aimed to find out which clinical, serological, functional and radiological findings are useful to identify RA patients with pathological values of the phase III slope (SIII) measured by the SBN2W test.

Methods
This was a cross-sectional study in which RA patients were assessed using the Health Assessment Questionnaire-Disability Index (HAQ-DI) and the Clinical Disease Activity Index (CDAI) and underwent serological analysis of autoantibodies and inflammatory markers. In addition, they underwent pulmonary function tests (including the SBN2W test) and chest computed tomography (CT).

Results
Of the 60 RA patients evaluated, 39 (65%) had an SIII >120% of the predicted value. There were significant correlations between SIII and age (r = 0.56, p<0.0001), HAQ-DI (r = 0.34, p = 0.008), forced vital capacity (FVC, r = -0.67, p<0.0001), total lung capacity (r = -0.46, p = 0.0002), residual volume/total lung capacity (TLC) (r = 0.44, p = 0.0004), and diffusing capacity of the lungs for carbon monoxide (r = -0.45, p = 0.0003). On CT scans, the subgroup with moderate/severe disease had a significantly higher SIII than the normal/minimal/mild subgroup (662 (267–970) vs. 152 (88–283)% predicted, p = 0.0004). In the final multiple regression model, FVC, extent of moderate/severe involvement and age were associated with SIII, explaining 59% of its variability.

Conclusions
In patients with RA, FVC, extent of lung involvement and age, all of which are easily obtained variables in clinical practice, identify poorly distributed ventilation. In addition, the presence of respiratory symptoms and deteriorated physical function are closely related to the distribution of ventilation in these patients.
Machine learning-based prediction models for home discharge in patients with COVID-19: Development and evaluation using electronic health records
Authors: Zapata Ruben D. , Huang Shu , Morris Earl , Wang Chang , Harle Christopher , Magoc Tanja , Mardini Mamoun , Loftus Tyler , Modave François 
Published: October 2023

Objective
This study aimed to develop and validate predictive models using electronic health records (EHR) data to determine whether hospitalized COVID-19-positive patients would be admitted to alternative medical care or discharged home.

Methods
We conducted a retrospective cohort study using deidentified data from the University of Florida Health Integrated Data Repository. The study included 1,578 adult patients (≥18 years) who tested positive for COVID-19 while hospitalized, comprising 960 (60.8%) female patients with a mean (SD) age of 51.86 (18.49) years and 618 (39.2%) male patients with a mean (SD) age of 54.35 (18.48) years. Machine learning (ML) model training involved cross-validation to assess their performance in predicting patient disposition.

Results
We developed and validated six supervised ML-based prediction models (logistic regression, Gaussian Naïve Bayes, k-nearest neighbors, decision trees, random forest, and support vector machine classifier) to predict patient discharge status. The models were evaluated based on the area under the receiver operating characteristic curve (ROC-AUC), precision, accuracy, F1 score, and Brier score. The random forest classifier exhibited the highest performance, achieving an accuracy of 0.84 and an AUC of 0.72. Logistic regression (accuracy: 0.85, AUC: 0.71), k-nearest neighbor (accuracy: 0.84, AUC: 0.63), decision tree (accuracy: 0.84, AUC: 0.61), Gaussian Naïve Bayes (accuracy: 0.84, AUC: 0.66), and support vector machine classifier (accuracy: 0.84, AUC: 0.67) also demonstrated valuable predictive capabilities.

Significance
This study’s findings are crucial for efficiently allocating healthcare resources during pandemics like COVID-19. By harnessing ML techniques and EHR data, we can create predictive tools to identify patients at greater risk of severe symptoms based on their medical histories. The models developed here serve as a foundation for expanding the toolkit available to healthcare professionals and organizations. Additionally, explainable ML methods, such as Shapley Additive Explanations, aid in uncovering underlying data features that inform healthcare decision-making processes.
Patient satisfaction with advanced physiotherapy practice internationally: Protocol for a systematic mixed studies review
Authors: Davis Chris , Noblet Tim , Mistry Jai , Kowalski Katie , Rushton Alison 
Published: October 2023

Rationale
Patient satisfaction is a complex construct consisting of human and system attributes. Patient satisfaction can afford insight into patient experience, itself a key component of evaluating healthcare quality. Internationally, advanced physiotherapy practice (APP) extends across clinical fields and is characterised as a higher level of practice with a high degree of autonomy and complex decision making. Patient satisfaction with APP appears positive. While evidence synthesis of patient satisfaction with APP exists, no systematic review has synthesised evidence across clinical fields. Therefore, the objectives of this systematic review are 1) to evaluate patient satisfaction with APP internationally, and 2) to evaluate human and system attributes of patient satisfaction with APP.

Materials and methods
A systematic mixed studies review using a parallel-results convergent synthesis design will be conducted. Searches of Medline, Embase, Web of Science, CINAHL, Cochrane, PEDro and grey literature databases will be conducted from inception to 18/7/2023. Studies of APP (World Physiotherapy definition) whereby practitioners a) have advanced clinical and analytical skills that influence service improvement and provide clinical leadership, b) have post-registration masters level specialisation (or equivalence), c) deliver safe, competent care to patients with complex needs and d) may use particular occupational titles; that measure patient satisfaction across all clinical fields and countries will be included. Two reviewers will screen studies, extract data, assess methodological quality of included studies (mixed methods appraisal tool), and contribute to data synthesis. Quantitative data will undergo narrative synthesis (textual descriptions) and qualitative data thematic synthesis (analytical themes). Integration of data syntheses will inform discussion.

Implications
This systematic review will provide insight into patient satisfaction with APP internationally, exploring attributes that influence satisfaction. This will aid design, implementation, or improvement of APP and facilitate the delivery of patient-centred, high-quality healthcare. Lastly, this review will inform future methodologically robust research investigating APP patient satisfaction and experience.
A FUNÇÃO SOCIOAMBIENTAL DA PROPRIEDADE: UM ESTUDO SOBRE A LEGISLAÇÃO IMPLEMENTADA NO MUNICÍPIO DE SÃO PAULO - BRASIL
Authors: Carolino Katia , Ormelesi Vinicius Fernandes , Vieira Ricardo Stanziola 
Published: October 2023

Contextualização: O estudo concentra-se nas decisões das Cortes Constitucionais do Brasil, quando da discussão sobre homofobia e transfobia e sua equiparação ao crime de racismo e, do Quênia, quando da discussão sobre a penalização de relações homossexuais (anti-sodomy law), visto que ambas, ao perpassarem pautas jurídicas envolvendo liberdades individuais decidiram.
Objetivo: O presente artigo objetiva analisar as premissas da estratégia denominada “judicial dialogue” transnacional, no contexto de Cortes Constitucionais inseridas na noção de Sul Global, com foco no tratamento jurídico da homofobia e na penalização do homossexualismo.
Metodologia: Utilizou-se, para o desenvolvimento da presente pesquisa, o método indutivo, operacionalizado pelas técnicas de conceito operacional, da pesquisa bibliográfica e de análise jurisprudencial.
Resultados: Como resultado, tem-se que a estratégia “judicial dialogue” transnacional deve considerar que a identidade dos valores individuais em muitas ocasiões depende de como os membros individuais da comunidade consideram e valorizam uma personalidade individual. Por outro lado, não se recomenda o enclausuramento das Cortes Constitucionais.
Student engagement: the key role of Sustainable Transportation at KMUTT Thailand
Authors: Kanthamanon Prasert 
Published: October 2023

Abstract. King Mongkut’s University of Technology Thonburi (KMUTT) committed to be Sustainable University for SDGs 2030 since 2017 and committed to sustainability leadership in all our activities from operations, teaching, to conducting research. Our commitments are to be a sustainable university providing a role model on Energy, Environment, Safety Management Systems and provide sustainability platform to promote sustainability leadership. Sustainable transportation system has been provided by top management policy since 2018 which focus on walk and bike society with zero emission vehicles, free shuttle bus and free bicycle services. In KMUTT, Student engagement is a key role to achieve the sustainable transportation goal which comply to SDG 3: Good Health and Well-being; SDG 7: Affordable and Clean Energy; SDG 11: Sustainable cities and communities and SDG13: Climate Action. KMUTT Green Heart is student’s sustainability leadership team who interested in environmental sustainability which make university and communities surrounded more green and better quality of life and create their own activities to serve sustainable transportation activities for all in KMUTT by using SEP for SDG concept. Moreover, KMUTT initiate sustainable strategy which provide the learning environment to make all campus as living lab, promote people participation and monitoring to make continual improvement with positive reinforcement. The sustainable transportation goal achieved along with the expansion activities to community surround according to the student engagement.Keywords: Sustainable Transportation, Student Engagement, Walk And Bike Society, Zero Emission Vehicles, SDG3, SDG 7, SDG11, SDG 13
Características clínicas asociadas a niveles elevados de lipoproteína(a) en pacientes atendidos por riesgo vascular
Authors: Rubio-Serrano Javier , Gullón Ojesto Alejandra , Suárez Fernández Carmen 
Published: October 2023

Resumen

Objectivos
La lipoproteína(a) (Lp(a)) es cada vez más relevante en la evaluación de pacientes con riesgo vascular debido a su asociación con una mayor incidencia de eventos cardiovasculares. Este estudio tiene como objetivo identificar las características clínicas de los pacientes con niveles elevados de Lp(a) atendidos en consultas externas por riesgo vascular.

Métodos
Estudio observacional retrospectivo en donde se compararon las características clínicas de los pacientes con niveles elevados de Lp(a) (≥50 mg/dL) con la de los pacientes con valores normales (<50 mg/dL), en un total de 878 pacientes atendidos por riesgo o enfermedad vascular durante los años 2021 y 2022.

Resultados
Los valores más elevados de Lp(a) se asociaron de forma independiente con una mayor probabilidad de antecedentes de enfermedad arterial periférica (p=0,024), hipercolesterolemia familiar poligénica (HFP, p=0,030) e hipercolesterolemia familiar combinada (HFC, p=0,015), el tratamiento de inhibidores de PCSK9 (p=0,029) y la combinación de estatinas y ezetimiba (p=0,018). Sin embargo, no se obtuvieron diferencias significativas para las variables antecedentes familiares de enfermedad cardiovascular precoz (p=0,143) ni para antecedentes de enfermedad cardiovascular previa (p=0,063) a diferencia de lo identificado en otras series.

Conclusiones
Los niveles elevados de Lp(a) se asociaron con antecedentes de enfermedad arterial periférica, diagnóstico de HFP y HFC, así como con la necesidad de utilizar tratamientos hipolipemiantes más intensos.
IUPAC’s 2023 Top Ten Emerging Technologies in Chemistry
Authors: Gomollón-Bel Fernando 
Published: October 2023

Abstract
This manuscript marks the five-year anniversary of IUPAC’s “Top Ten” initiative [1]. The new additions will grow the list of emerging technologies to fifty—all with a powerful potential to make our world more sustainable and all suitable solutions to the current polycrisis [2]. This past summer, the theme of the IUPAC World Chemistry Congress in the Hague was “Connecting Chemical Worlds,” which aligns almost perfectly with the goals of the “Top Ten”—multidisciplinary research is key towards transitioning to net-zero and achieving the United Nation’s Sustainable Development goals by 2030 [3]. Moreover, the selection this year particularly promotes cross-collaboration in chemistry to create exciting emerging technologies that bridge the gap between academia and industry, while continuing the current competitiveness of chemical manufacturers. From a pool of possible ideas, a panel of experts have selected the following list, covering a range of fields from synthesis and polymer chemistry to health and artificial intelligence. The technology readiness level varies along the different solutions—nevertheless, all show a provocative promise to reimagine our world and our society.
Test of bivariate independence based on angular probability integral transform with emphasis on circular-circular and circular-linear data
Authors: Fernández-Durán Juan José , Gregorio-Domínguez María Mercedes 
Published: October 2023

AbstractThe probability integral transform of a continuous random variableXXwith distribution functionFX{F}_{X}is a uniformly distributed random variableU=FX(X)U={F}_{X}\left(X). We define the angular probability integral transform (APIT) asθU=2πU=2πFX(X){\theta }_{U}=2\pi U=2\pi {F}_{X}\left(X), which corresponds to a uniformly distributed angle on the unit circle. For circular (angular) random variables, the sum modulus 2π\piof absolutely continuous independent circular uniform random variables is a circular uniform random variable, that is, the circular uniform distribution is closed under summation modulus 2π\pi, and it is a stable continuous distribution on the unit circle. If we consider the sum (difference) of the APITs of two random variables,X1{X}_{1}andX2{X}_{2}, and test for the circular uniformity of their sum (difference) modulus 2π\pi, this is equivalent to test of independence of the original variables. In this study, we used a flexible family of nonnegative trigonometric sums (NNTS) circular distributions, which include the uniform circular distribution as a member of the family, to evaluate the power of the proposed independence test by generating samples from NNTS alternative distributions that could be at a closer proximity with respect to the circular uniform null distribution.
Architectural modeling of data warehouse and analytic business intelligence for Bedstead manufacturers
Authors: Gaol Ford Lumban , Siswanto Rezaka Ardho , Matsuo Tokuro 
Published: October 2023

Abstract
Proper decision-making in a company requires a company to make decisions quickly, precisely, and relevant to the problem at hand. The ability to examine problems encountered necessitates the use of data from all areas of an organization. These data will be the basis for decision-making. Due to the significance of these data, data warehouse (DW) and analytics and business Intelligence (ABI) are necessary form of information technology. The DW and business intelligence requirements for each organization differ based on the industry. As a result, this case study of the Bedstead manufacturers intends to build a blueprint of the DW and ABI that can be used as the basis and reference in the future by this company and similar companies in creating DWs and business intelligence.
High strength, anti-static, thermal conductive glass fiber/epoxy composites for medical devices: A strategy of modifying fibers with functionalized carbon nanotubes
Authors: Li Yue , Zeng Shaohua 
Published: October 2023

Abstract
A series of aliphatic amine-functionalized multiwalled carbon nanotubes (MWCNTs) wherein varied secondary amine numbers were grafted on the MWCNTs’ surface were synthesized and further dispersed onto the glass fibers for reinforcing epoxy-based composites. By tuning secondary amine numbers of aliphatic amines, the dispersion of MWCNTs and ultimately mechanical, thermal, and conductive properties of epoxy-based composites could be adjusted. Using an optimal secondary amine number of aliphatic amine (triethylenetetramine), the interlaminar shear strength, tensile strength, and flexural strength of epoxy-based composite increased by 43.9%, 34.8%, and 35.0%, respectively; the work of fracture after interlaminar shear tests increased by 233.9%, suggesting strengthening/toughening effects of functionalized MWCNTs; significant reduction in surface resistance and increased thermal conductivity were also obtained, implying the superior conductive properties for composites. This work offers a new strategy for designing fiber-reinforced composites with high strength, excellent antistatic properties, and good thermal conductivity for medical device applications.
Effect of time-variant NDVI on landside susceptibility: A case study in Quang Ngai province, Vietnam
Authors: Doan Viet Long , Nguyen Ba-Quang-Vinh , Pham Hung T. , Nguyen Chi Cong , Nguyen Cuong Tien 
Published: October 2023

Abstract
Normalized difference vegetation index (NDVI) is a conditioning factor that significantly affects slope stabilization, as the low vegetation coverage can create conducive conditions for landslide occurrence. In previous studies, NDVI was often calculated from long-term average NDVI maps or specific yearly NDVI maps. However, this approach is unsuitable due to the time-varying nature of these data, influenced by numerous factors, including human activities. To solve this problem, this study uses NDVI as a time-varying factor. NDVI maps are generated from Sentinel 2 and Landsat_8 imagery at the onset of each rainy season between 2015 and 2020 in the mountainous region of Quang Ngai Province. Moreover, the landslide events that occurred within this 5-year period (2016–2020), along with a set of conditioning factors, are utilized to develop landslide susceptibility models based on three algorithms: logistic regression, support vector machine, and extreme gradient boosting (XGBoost). The obtained results demonstrate that using time-varying NDVI shows superior performance compared to using only NDVI from 2015. The outcomes also indicate that XGBoost is the most effective model. Selecting suitable NDVI maps can improve the predictive accuracy of landslide susceptibility mapping.