bluuebunny/crossref_metadata_2025_split huggingface dataset:
A surgical case of solitary severe tricuspid regurgitation mimicking constrictive pericarditis
Authors: Kaku Daisuke , Hirai Hidekazu , Seo Hiroyuki , Murakami Tadahiro 
Published: March 2023

Abstract
Background
It has been reported that severe tricuspid regurgitation may demonstrate constrictive pericarditis-like hemodynamics. In this article, we report a surgical case of solitary severe tricuspid regurgitation in which the hemodynamic features are consistent with constrictive pericarditis.

Case presentation
The patient was a 78-year-old man with chronic atrial fibrillation and tricuspid regurgitation. He was admitted to our hospital with complaints of edema and dyspnea, and transthoracic echocardiography showed severe tricuspid regurgitation and enlargement of the bilateral atrium. A right heart catheterization revealed “dip and plateau” patterns in the biventricular pressure waveforms, and both right and left ventricle endo-diastolic pressure had increased to 30 mmHg. Although there were no signs of calcification or thickening of the pericardium in computed tomography, we diagnosed the patient with constrictive pericarditis with severe tricuspid regurgitation and underwent surgical intervention since his heart failure symptoms were resistant to medication. The surgical findings did not show any pericardial thickening or adhesions either; therefore, we diagnosed the patient with solitary severe tricuspid regurgitation showing constrictive pericarditis-like hemodynamics. We performed tricuspid valve replacement with a bioprosthetic valve and his heart failure symptoms improved postoperatively.

Conclusions
To determine the best timing for surgery, it is essential to recognize the existence of severe tricuspid regurgitation mimicking constrictive pericarditis.
Increasing awareness of the connection between breastfeeding and mental health through an educational session for healthcare providers
Authors: Dalley Sara , Hickey Catherine 
Published: March 2023

Aim of the studyThe relationship between breastfeeding and mental health is complex and complicated by various confounding factors. Although no direct causative link has been established, several trends have arisen in the literature. The aim of this study was to see if an educational session on these trends could increase awareness of how breastfeeding affects mental health in women. Specifically, we aimed to see if this session could increase awareness in a group of clinicians (nurses, physicians, and lactation consultants) who provide care in the peripartum.Subject or material and methodsA 45-minute education session was offered to health care providers for members of this population. The goal of this session was to increase awareness of how breastfeeding impacts mental health and how, when it is going well, it can positively affect mood. The session also emphasized the importance of support in the perinatal period.ResultsThe session was evaluated for changes in awareness and knowledge and perceived usefulness and relevance via a short pre-and post- 8 question survey. There were significant differences in the post answers for Questions 1-5 compared to the pre- answers.DiscussionThese particular questions dealt with awareness and perceived relevance of the topic, the understanding of the complexity of the topic, perceived knowledge of the topic, and training on the topic.ConclusionsThese findings suggest that an educational session may improve awareness, knowledge levels, and perceived importance of this topic.
Motivation for stuttering therapy and its concept and other determinants
Authors: Humeniuk Ewa , Tarkowski Zbigniew , Góral-Półrola Jolanta , Samardakiewicz Marzena 
Published: March 2023

Aim of the studyPurpose: The objective of this research was to determine the level of motivation for stutter treatment and its dependence on age, gender, and the conception of stuttering.Subject or material and methodsMethods: In our study, the Conception of Stuttering Scale (CSS) and the Motivation for Stutter Therapy Scale (MSTS) were used.
Participants: The research involved 297 participants, 81 women and 216 men, all aged from 18 to 54 years. All participants had started to stutter before the age of 7, they all had stutter symptoms (confirmed by an experienced speech therapist), thought themselves to be stutterers, and had undergone at least one therapy.ResultsOverall, the respondents were likely to consider stuttering a speech impediment, logoneurosis, communication disorder, or an illness. They mostly supported the idea of comprehensively diagnosing stuttering and they did not have a uniform conception of stutter therapy. They were most likely to opt for therapies based on speech practice or psychotherapy. Their motivation for speech therapy was mostly moderate. Motivation for stutter therapy was markedly higher in women than in men.. A significant positive correlation was revealed between speech practice and non-acceptance of stuttering.DiscussionStuttering persons have differing conceptions of the etiology, basis, diagnosis, and treatment of stuttering. Motivation for stutter therapy in adults is moderate and is not associated with their concept of stuttering.ConclusionsStuttering persons have differing conceptions of the etiology, basis, diagnosis, and treatment of stuttering. Motivation for stutter therapy in adults is moderate and is not associated with their concept of stuttering.
Quality of life and functionality in patients suffering from chronic pain, anxiety and depression
Authors: COSTA MICHELLE , Gomez Renato 
Published: March 2023

Aim of the studyMental illnesses are common in patients with chronic pain, and this association may result in changes in functional status. This study assessed the functionality and quality of life of patients with chronic pain, anxiety, and depression.Subject or material and methodsA total of 103 patients were interviewed at Federal University of Minas Gerais’ (UFMG) Hospital das Clínicas Pain Center, in 2020 and 2021. The presence of depression and anxiety symptoms, pain intensity, quality of life, and functionality was assessed. The cohort studied was stratified into groups suffering from mild, moderate, and intense pain in accordance with the visual numeric scale, and these patients then underwent descriptive and comparative analyses. Subsequently, a multivariate analysis was performed, followed by linear regression analysis to identify risk factors and variables that contributed to the pain being felt.ResultsIn total, 16.5% of the patients were diagnosed with symptoms of anxiety, 13.59% with depression, and 34.95% presented symptoms of both anxiety and depression. The functionality assessment revealed severe incapacity, with the highest levels of incapacity present in those suffering from the most intense pain.DiscussionPatients with symptoms of anxiety and depression presented a worse quality of life than those without these symptoms, with some aspects directly related to pain intensity.ConclusionsChronic pain, in the presence of symptoms of anxiety and depression, produces severe functional psychosocial incapacity and a low quality of life, which are directly related to pain intensity. Skin color, suicidal ideation, and psychosocial issues are associated with depression, anxiety, and chronic pain.
Type 2 diabetes - factors of occurrence and its complications
Authors: Żuchnik Magda , Rybkowska Agnieszka , Szczuraszek Paulina , Szczuraszek Hugo , Bętkowska Paulina , Radulski Jakub , Tomkiewicz Michał , Paluch Michał , Licak Gabriela , Olko Paweł 
Published: March 2023

Introduction
Diabetes mellitus is a collective term for heterogeneous metabolic disorders, the main factor of which is chronic hyperglycemia resulting from a defect in insulin secretion or action. It affects the damage, dysfunction and performance of various organs.
The aim of the study
The purpose of this article is to discuss type 2 diabetes mellitus. Presentation of the mechanisms involved in it and the complications it causes in the various organs.
Material and methods
This review was based on available data collected in the PubMed data base. The research was done by looking through keywords such as: ,,type 2 diabetes”, ,,diabetic cardiomyopathy”, ,,diabetic nephropathy”, ,,diabetic neuropathy”, ,,diabetic foot”, ,,diabetic retinopathy”, ,, risk factors for type 2 diabetes”.

Conclusions
Many studies have shown that the presence of type 2 diabetes adversely affects the body. Type 2 diabetes increases the risk of organ complications, which significantly reduces the quality and shortens the life of patients. For that reason, care should be taken to reduce the incidence rate of this type of diabetes and to prevent and detect its complications early. Therefore, new initiatives and research should be undertaken to broadly understand the risk factors and mechanisms of developing type 2 diabetes complications.
Mathematical Reflections on Locality
Authors: Guo Li , Paycha Sylvie , Zhang Bin 
Published: March 2023

AbstractStarting from the principle of locality in quantum field theory, which states that an object is influenced directly only by its immediate surroundings, we review some features of the notion of locality arising in physics and mathematics. We encode these in locality relations, given by symmetric binary relations, and locality morphisms, namely maps that factorise on products of pairs in the graph of such locality relations. This factorisation is a key property in the context of renormalisation, as illustrated on the factorisation of an exponential sum on convex cones, discussed at the end of the paper. The subject of locality is so vast and the issues it raises are so subtle, that this brief and modest presentation can only offer a small glimpse into this fascinating topic.
Organisationale Ambidextrie als Erfolgsfaktor für KI-basierte Innovationen in der Produktion: Das Audi Production Lab
Authors: Sagodi André 
Published: March 2023

ZusammenfassungKünstliche Intelligenz bietet immenses Wertpotenzial für Unternehmen, wie beispielsweise für Produzenten in der Automobilindustrie. Um von den neuen Technologien zu profitieren, müssen diese Automobilproduzenten innovative Konzepte für ihren individuellen Unternehmenskontext entwickeln und erproben, ohne dabei den produktiven Betrieb zu beeinträchtigen. Die Fähigkeit eines Unternehmens gleichzeitig innovativ und effizient zu sein, wird als Ambidextrie bezeichnet. Insbesondere bei heutigen Innovationen basierend auf Künstlicher Intelligenz ergeben sich neuartige Fragestellungen, die exploriert und im Innovations- und Technologiemanagement berücksichtigt werden müssen.Im vorliegenden Beitrag wird das Audi Production Lab (P‑Lab) als Praxisbeispiel für erfolgreich praktizierte organisationale Ambidextrie vorgestellt. Das P‑Lab bildet als eigenständige Organisationseinheit das Bindeglied zwischen Technologieexploration und Technologieverwertung in der Audi Produktion. Basierend auf einem praktischen Erfahrungsbericht wird in diesem Beitrag herausgearbeitet, welche neuen Fragestellungen und Herausforderungen Künstliche Intelligenz in das Ideen- und Innovationsmanagement induziert und wie diese bewältigt werden können. Der Schwerpunkt liegt dabei auf (1) der Identifikation von KI-geeigneten Fragestellungen, (2) der Entwicklung von KI-Proof-of-Concepts und (3) der Implementierung von KI-Lösungen in einen Produktivbetrieb.Mit den Ergebnissen richtet sich dieser Beitrag an Technologie- und Innovationsmanager_innen, IT-Strateg_innen und Organisationsentwickler_innen, die Künstliche Intelligenz für ihr Unternehmen erschließen möchten. Die Ergebnisse liefern Einblicke in die industrielle Praxis und unterstreichen die Relevanz organisationaler Ambidextrie als zentraler Erfolgsfaktor für Innovationen in der Produktion.
Non-destructive screening methodology based on handheld XRF for the classification of concrete: cement type-driven separation
Authors: Nedeljković Marija , Tošić Nikola , Holthuizen Patrick , França de Mendonça Filho Fernando , Çopuroğlu Oğuzhan , Schlangen Erik , Fennis Sonja 
Published: March 2023

AbstractThe utilization of locally available concrete waste for producing recycled concrete aggregates is recognized as one of the most sustainable ways of satisfying the growing demand for concrete production. However, the quality of concrete waste depends on its origin and it may significantly differ from one concrete structure to another. Knowing the chemical composition of the parent concrete is crucial for determining or verifying the origin of the raw materials. For this reason, pre-demolition concrete waste streams need to be characterized and classified. Therefore, a new non-destructive method for determining the cement and aggregate type in hardened concrete using handheld X-ray fluorescence (hXRF) analyser is presented in this paper. The method was tested on different raw powders and on concretes containing different types of cements including CEM I 42.5 N (Portland cement), CEM II/B-V 42.5 N (Portland-fly ash cement), CEM III/B 42.5 N (GGBFS cement). Combined desktop XRF and Energy-dispersive X-ray Spectroscopy (EDS) measurements were used for the purpose of validation. The results revealed that the curing of concrete affects the results: a dried concrete surface condition was optimal for measurements since it limits the impact of the concrete surface moisture and efflorescence on characteristic element oxides, such as CaO. The effective measurement duration was 30 s. A CEM III/B 42.5 N (GGBFS)-based concrete surface was distinguished from other concretes using Al2O3, MgO and Fe2O3as characteristic oxides. The inner layers of concrete were rich in SiO2, the oxide characteristic for the aggregate composition tested in this study. This shows that hXRF is suitable for use in concrete, provided that the concrete surface is dried and the characteristic elements are defined to ensure a distinction between different cement and aggregate types. Direct adoption of such characterization, however, requires field testing across a wide range of concrete compositions and in situ conditions.
Investigation of Wind Data Resolution for Small Wind Turbine Performance Study
Authors: Silwal Kimon , Freere Peter 
Published: March 2023

Small wind turbine sites, in general, use a 0.5Hz sampling interval and a 10-minute averaging interval for a feasibility study or turbine testing. Studies have established that the calculated performance variation of small wind turbines when averaging at large time intervals. The performance variation is larger for sites with high wind variability. However, these studies are often based on low sampling frequency and high averaging intervals.

In the present study, wind speed data has been measured at a high sampling frequency of 20Hz with an ultrasonic sensor. A dynamic model of a 50W Rutland wind turbine is used to analyse the simulated performance using wind speed data at a range of sampling intervals and some averaging intervals. The wind turbine and the anemometer are installed in a residential area of high wind variability.

The energy is calculated and compared directly using the wind turbine model and using the IEC recommended method of bins. The direct method results show that the rise in instantaneous sampling intervals up to 20 seconds has an insignificant effect on the energy output. Whereas, for 2-seconds sampled wind data averaged over 10-minutes, energy overestimates of 19% is observed. However, where only 10-minute interval averaged wind data are available, there is a significant underestimate in energy by 45%. The energy calculated using the method of bins overestimates the energy by 19% for high resolution wind data and underestimates by 22% for 10-minute average data.
The association between social media use and physical activity among Canadian adolescents: a Health Behaviour in School-aged Children (HBSC) study
Authors: Morningstar Brandon , Clayborne Zahra , Wong Suzy L. , Roberts Karen C. , Prince Stephanie A. , Gariépy Geneviève , Goldfield Gary S. , Janssen Ian , Lang Justin J. 
Published: March 2023

Abstract
Objective
To determine the association between social media use (SMU) and physical activity (PA) among Canadian adolescents.

Methods
We used data from 12,358 participants in grades 6 to 10 who responded to the Canadian component of the 2017/2018 Health Behaviour in School-aged Children (HBSC) survey. Social media intensity and problematic SMU were assessed using a 4-point mutually exclusive scale that contained three categories based on intensity (non-active, active, and intense SMU) and one category based on the presence of addiction-like symptoms irrespective of intensity (problematic SMU). PA was assessed for five domains (i.e., school curriculum, organized sport, exercise, outdoor play, and active transport) and dichotomized using the first quartile to represent high PA engagement in each domain. Meeting PA recommendation of 60 min per day of moderate-to-vigorous PA was calculated using the sum of the five domains. Logistic regression models were used to assess the association between SMU and PA, with active SMU used as the reference group for all models.

Results
Non-active SMU was associated with lower odds of meeting the daily PA recommendations and of high engagement in all five domains of PA when compared to active SMU. Intense SMU was associated with higher odds of meeting the daily PA recommendations. Problematic SMU was not associated with meeting daily PA recommendations, but it was significantly associated with lower odds of high PA engagement in the exercise domain.

Conclusion
The findings of this study suggest that non-active SMU was significantly associated with lower PA levels. Problematic SMU was only significantly associated with lower PA levels in the exercise domain. Intense SMU was associated with higher odds of meeting the PA recommendation.
Decentralized Policy Learning for Quadruped Robots Multi-Gait Control
Authors: Pu XingCheng , Zhang Congde 
Published: March 2023

Abstract
This paper proposes the Decentralized Multi-Critic Actor Learning (DMultiCriticAL) method for quadruped robots to overcome the multi-task gradient conflict in multi-gait learning. In this method, each leg joint angle of quadruped robots is served as the action space of decentralized learning agents rather than learning directly to control all robot joint angles. Because of the high similarity in quadruped robot local action space, the DMultiCriticAL method can avoid the multi-task gradient conflict in multi-gait learning. Compared with the conventional multi-task learning method, we exploit the decentralized learning systems to limit the useless exploration of environments by agent, not design complex reward functions to track the multi-gait reference motion trajectory. This also means we can avoid the suboptimal reference motion trajectory design. Our experiment results show that the multi-gait motion controller based on the DMultiCriticAL method can yield more stable locomotion without complex reward function designs.
A systematic mapping of the genomic and proteomic variation associated with monogenic diabetes
Authors: Kuznetsova Ksenia , Vašíček Jakub , Skiadopoulou Dafni , Molnes Janne , Udler Miriam , Johansson Stefan , Njølstad Pål Rasmus , Manning Alisa , Vaudel Marc 
Published: March 2023

Abstract
Monogenic diabetes is characterized as a group of diseases caused by rare variants in single genes. Multiple genes have been described to be responsible for monogenic diabetes, but the information on the variants is not unified among different resources. We have developed an automated pipeline for collecting and harmonizing data on genetic variants associated with monogenic diabetes. Furthermore, we have translated variant genetic sequences into protein sequences accounting for all protein isoforms and their variants. This allows researchers to consolidate information on variant genes and proteins associated with monogenic diabetes and facilitates their study using proteomics or structural biology. Our open and flexible implementation using Jupyter notebooks enables tailoring and modifying the pipeline and its application to other rare diseases.
Modeling Convective Drying of Food Products:The Case Study of Yacon (Smallanthus sonchifolius)
Authors: Marques Bianca C. , Flick Denis , Tadini Carmen C. , Plana-Fattori Artemio 
Published: March 2023

Abstract
The convective drying of a food product whose dehydration occurs under large deformation is studied. A numerical model is proposed for solving the heat and water mass transfer phenomena while accounting for shrinkage. The finite volume method is applied; mesh boundaries move with the dry matter. Shrinkage is predicted from geometrical considerations only, hence no information about the product's mechanical properties is required. Water diffusivity in the product is assumed to depend on both temperature and water content. The approach is illustrated for cylindrical samples of yacon, associated with high water content in natura and significant volume reduction after drying. This study considers previous experimental work with a convective drying pilot unit under controlled air temperature and relative humidity conditions. Numerical results reveal, firstly, that the significant evolutions of sample volume (to about 10 % of initial value) and of total water content (to less than 5 % of initial value) are quite well represented. Secondly, despite the relative homogeneity of temperature field, the water content exhibits differences between the sample surface and its core even after six hours of drying. Sensitivity tests put in evidence the major role played by the convective heat and mass transfer coefficients. The physical model and the numerical approach can be adapted in order to predict the evolution of materials with high water content in natura, which experience large deformation during the convective drying process.
Fuzzy-logic Color Recognition System Using a Fast Defuzzifier
Authors: Emelianov S. G. , Bobyr M. V. , Bondarenko B. A. 
Published: March 2023

Purpose of research. The research presented in this article is aimed at improving the accuracy of determining the color shade. The developed fuzzy-logical color recognition system was used as the subject of the study. The efficiency indicator was the result of calculating the sensitivity area percentage and RMSE of the developed method.Methods. A method based on fuzzy logic has been developed and implemented, namely, on the structure of Mamdani's fuzzy inference, which consists of the following stages: fuzzification, fuzzy logical inference, defuzzification. Triangular membership functions were used at the fuzzification stage. As a compositional rule, 12 input variables were used, combined on the basis of Zadeh's compositional rule in 27. At the defuzzification stage, the area ratio method was used. The object of the study was the developed mathematical model for determining color.Results. A mathematical model has been developed, consisting of 4 steps, which guarantees a clear definition of 9 colors and their shades. Based on the estimation of the root of the mean square error, it was concluded that the proposed model is better than traditional options. It is expressed by the fact that the developed method reacts on the interval of the entire surface of output variables, while traditional methods have dead zones to changes in input variables.Conclusion. A fuzzy-logical color recognition system was developed. In the course of experimental studies, it was found that the RMSE and sensitivity indicators have better results in relation to other systems.