Miracle-dz/UniFAR-FTUs huggingface dataset:
Cognitive Patterns and Problematic Use of Video Games in Adolescents: A Cluster Analysis

Background: Video game playing (VGP) is an increasingly common leisure activity among children and adolescents, although in some cases, it is accompanied by problems due to misuse. Method: A sample of 2884 children and adolescents aged between 12 and 20, representative of the Community of Madrid (Spain), were studied using a cluster analysis to explore the existence of cognitive patterns associated with engagement, attitudes, and concurrent cognitions. We also explored the relationship between these patterns and problematic VGP, using the 2173 gamers as a reference. Results: The concurrent cognitions were not qualitatively different between the problematic users and the others. High engagement and high activation of concurrent cognitions (intensity and frequency) showed the greatest relationship with problematic VGP. Conclusions: The results suggest the existence of different groups of gamers and the relevance to include psycho-educational aspects in intervention programs, as well as the training of specific skills, especially those related with the control of activation. Limitations related to the sample size and potential supplementary analyses are acknowledged.
OPTIMISASI MULTIOBJEKTIF DALAM PEMBENTUKAN PORTOFOLIO OPTIMAL SAHAM DENGAN PENGUKURAN VALUE AT RISK (VAR)

When investors invest in their stock, the strategy used an investor is to form an optimal portfolio of shares. An optimal stock portfolio can be created by utilizing the multi-objective optimization method, which can help investors achieve maximum return and minimum risk simultaneously. The multi-objective method has a weighting factor that acts as a risk indicator to assist investors in taking risks on the expected return. This study aims to optimize investors' profits and losses by forming an optimal stock portfolio using multi-objective and Value at Risk (VaR) measurements. The data used by the researcher is the weekly closing price of stocks which are always included in the LQ-45 stock index for the period 31 January 2019 – to 31 December 2020. The formed portfolio consists of three stocks, namely INCO.JK, MNCN.JK, and EXCL.JK. From the formed portfolio, the number of losses and profits obtained by investors can be seen based on the magnitude of the weighting coefficient k. Therefore, the greater the chance of profit (return), the greater the chance of loss (risk) that investors will receive.
The Effect of Sintering on Zirconia Manufactured via Suspension-Enclosing Projection Stereolithography for Dental Applications: An In Vitro Study

Background: Zirconia is a widely used material in the dental industry due to its excellent mechanical and aesthetic properties. Recently, a new 3D printing process called suspension-enclosing projection stereolithography (SEPS) was introduced to fabricate zirconia dental restorations. However, the effect of the sintering time and temperature on the properties of zirconia produced via SEPS has not been fully investigated. Methods: Zirconia slurries were prepared with varying percentages of zirconia powders and 3D printing resins, and 5Y-TZP (5 mol% yttria-stabilized zirconia) (n = 40) and 3Y-TZP (3 mol% yttria-stabilized zirconia) (n = 40) bar specimens were fabricated via SEPS manufacturing. The specimens were sintered at different temperatures and dwell times, and their flexural strength, density, and phase composition were measured. The viscosity of the slurries was also measured. Statistical analysis was performed using Welch’s ANOVA and Kruskal–Wallis tests to evaluate the impact of the sintering conditions. Results: Significant differences in flexural strength (p < 0.01) were observed between the 5Y-TZP samples, with those sintered at 1530 °C for 120 min showing an average strength of 268.34 ± 44.66 MPa, compared to 174.16 ± 42.29 MPa for those sintered at 1450 °C for 120 min. In terms of density, significant differences (p < 0.01) were noted for the 3Y-TZP specimens, with an average density of 6.66 ± 0.49 g/cm3 for samples sintered at 1530 °C for 120 min, versus 5.75 ± 0.55 g/cm3 for those sintered at 1530 °C for 10 min. X-ray diffraction confirmed the presence of a predominantly tetragonal phase in both materials. Conclusions: Zirconia printed via SEPS manufacturing can be sintered at a higher temperature with shorter dwell times, thereby producing high density samples. Different sintering conditions can be used to fully sinter 3D-printed zirconia for potential dental applications.
Blood-Based Biomarkers Reflecting Protease 3 and MMP-12 Catalyzed Elastin Degradation as Potential Noninvasive Surrogate Markers of Endoscopic and Clinical Disease in Inflammatory Bowel Disease

Chronic inflammation in inflammatory bowel disease (IBD) triggers significant extracellular matrix remodeling, including elastin remodeling, leading to severe clinical complications. Novel methods to assess intestinal tissue destruction may act as surrogate markers of endoscopic disease activity, relieving patients of invasive endoscopy. We explored the noninvasive blood-based biomarkers ELP-3 and ELM-12, measuring elastin degradation in IBD. In a study involving 104 Crohn’s disease (CD), 39 ulcerative colitis (UC), and 29 healthy donors, we assessed these biomarkers’ association with endoscopic and clinical disease activity using ELISA. Patients were evaluated based on the SES-CD and CDAI for CD patients and modified MES and partial Mayo for UC patients. ELP-3 and ELM-12 were elevated in patients with IBD. Discerning CD patients in endoscopic remission and mild from moderate to severe, ELP-3 provided an AUC of 0.69 and ELM-12 an AUC of 0.73. The ELP-3 biomarker was associated with UC patients and provided the highest diagnostic power of 0.87 for remission vs. active clinical disease. The data suggest an association of ELP-3 with active CD and ELM-12 with endoscopic remission in CD patients. Additionally, ELP-3 could identify UC patients with active clinical disease from patients in remission. The noninvasive biomarkers ELP-3 and ELM-12 could be potential surrogate biomarkers of elastin degradation and endoscopic and clinical disease markers.
FEATURES OF USING ORTHOPEDIC IMPLANTS ON AN EXPERIMENTAL MODEL OF SENSITIZATION TO NICKEL (NI)

Introduction. The theme of metal hypersensitivity (MHS) reactions is among the most controversial and complex issues in orthopedic and trauma practice. MHS diagnoses are diagnostically challenging because they are exclusionary diagnoses. It is currently uncertain which biomarkers can reliably predict a potential pathological response to implants. The aim of this research is to investigate hypersensitivity reactions to orthopedic implants containing nickel (Ni). Materials and methods. This research was conducted on female Wistar rats in accordance with the standards of bioethical principles. To obtain conclusive results, the animals were divided into two experimental groups: with prior sensitization to Freund's adjuvant containing Ni and without it. Nickel plates with a total surface area of 24 mm2 were implanted in the rats under general anesthesia. Five months after the intervention, the animals were removed from the experiment, and histological examination of the obtained samples was conducted. Extracted implants were examined using electron microscopy to assess the implant surface. The local elemental composition of the implants was analyzed using an energy-dispersive spectrometer. Results. Under the experimental conditions, it was demonstrated that after 5 months following the operation, a dense connective tissue capsule with an inflammatory infiltrate in the capsule lumen had formed around the implants in the rats. This suggests a possible manifestation of hypersensitivity reactions to implants containing Ni. Electron microscopy of the surface of the extracted implants revealed corrosion phenomena in all the samples. The degree of corrosion was more pronounced in the group of animals with prior sensitization to Ni, and distant particles of Ni were detected, which can be characterized as the beginning of implant degradation. Conclusions. A connective tissue capsule forms around the implants, and it was found to be 34.8% denser in animals sensitized to Ni prior to implantation, which may indicate tissue reactions with signs of hypersensitivity. Further research will provide a deeper understanding of the fundamental inflammatory and immunological reactions to metals present in implants. This, in turn, will facilitate the identification of clinically useful applications necessary for the development of diagnostic or prognostic tests for patients with metal implants.
Recenzje internautów jako wyznacznikjakości usług turystycznych w portalu Airbnb

Celem artykułu była próba określenia istotnych kryteriów oceny usługzakwaterowania, którymi posługują się konsumenci w publikowanych przez siebie w portaluAirbnb recenzjach. Recenzje są cennym źródłem informacji dla potencjalnych klientóww podejmowaniu decyzji zakupowych. Stanowią one również źródło informacji na tematpreferencji klientów dla osób prywatnych wynajmujących swe lokale. Jak pokazała analizatreści recenzji przeprowadzona przez autora, goście posługują się różnymi kryteriami ocenyjakości usług zakwaterowania w zależności od rodzaju obiektu zakwaterowania.
Pretend play as the space for development of self-regulation: cultural-historical perspective

Self-regulated behavior is a prerequisite for learning and success in life. Considerable research confirms that mature forms of play support the development of self-regulation in the early years. This study explores the relationship between (3–6-year-olds) children’s pretend play and self-regulation skills. Teachers filled out a child’s play and self-regulation checklist evaluating the level of children’s play and self-regulation skills. The findings revealed that the levels of children’s play and self-regulation skills are statistically significantly linked: the better the child performs an assumed role in play activity, the higher the level of their self-regulation. The results also suggest that a child’s playing skills, gender, and age predict children’s self-regulation skills manifested in play activity.
Study on Reduced-Order Modeling Technique of Three-Phase Voltage Imbalance Model

When using digital twins to create a simulation in the cyber space, their plant models must sequentially predict physical phenomena such as energy and water. However, increase in calculation costs renders their execution in real time challenging in case of a large scale, and they must be executed with high accuracy. Employing the mainstream technique of reducing the computational cost involves data-driven modeling, which suffers limited extrapolation accuracy as it does not have a physical structure. This study derived the simultaneous physical equations of the microgrid electric power network for three-phase voltage imbalance of AC electric power. Further, simulations were performed based on the equations. Using this power network model, we demonstrated that reduced-order modeling techniques with physical structure can offer better accuracy than models without a physical structure.
On a model for the fake-news diffusion between two interacting populations

The dynamics of information propagating among populations that interact might have an enormous impact on public opinion, particularly when such information is false, known as fake news. In this contribution, we propose and analyze the fake news dissemination that occurs when two distinct sub-populations (not necessarily homogeneous) share information, using a reinterpre-tation of a compartmental model for disease dissemination. We show the model’s well-posedness and present numerically simulated scenarios for the dynamics of fake news spreading among populations, with the model parameters associated with some human development indices. The obtained results show that the velocity of the fake news diffusion among the populations is largely impacted by the gap between the human development indices of each population. They also show that a small percentage of control over the information shared by the population leads to a large decrease in the amount and velocity of fake news diffusion.
Systematic Synthesis of Step-Down Switched-Capacitor Power Converter Topologies

In this brief, an algorithm for finding two-phase step-down switched-capacitor converter topologies is presented. The output stage is considered as a number of nodes, namely ground, input, output, and the top and bottom plates of the capacitors. Finding all switch placements between these nodes yields a complete database of possible topology implementations. The algorithm is applied for the case of one to four flying capacitors. This result is useful in the design of multi-topology gearbox output stages where several topologies are implemented. Having a database of all possible implementations allows for designing optimal output stages based on a number of possible performance metrics. All parts of the synthesis method is automated. In the case of four flying capacitors a total of 8.40 billion topologies are found.
Knowledge and Perceptions of Final-Year Nursing Students Regarding Antimicrobials, Antimicrobial Resistance, and Antimicrobial Stewardship in South Africa: Findings and Implications to Reduce Resistance

Antimicrobial resistance (AMR) is being increasingly seen as the next pandemic due to high morbidity and mortality rates, with Sub-Saharan Africa currently having the highest mortality rates driven by high rates of inappropriate prescribing in ambulatory care. In South Africa, nurses typically provide a range of services, including prescribing, in public ambulatory care clinics. However, little is currently known about the perception of final-year nursing students regarding antibiotic use, AMR, and antimicrobial stewardship (AMS). Consequently, we sought to address this important evidence gap. A quantitative descriptive study using a self-administered online questionnaire via Google Forms® was undertaken among six universities in South Africa offering a Baccalaureus of Nursing. Knowledge on the classes of antibiotics, organisms covered, and mechanism of action was lacking. The sample size to achieve a confidence interval of 95% with a 5% error margin was 174, increased to 200 to compensate for possible attrition. Only 15.3% of nurses knew that ceftazidime is not a fourth-generation cephalosporin, and only 16.1% knew that clavulanic acid does not decrease inflammation at the site of infection. In addition, only 58.9% and 67.7% agreed that the prescribing of broad-spectrum antibiotics and poor infection control, respectively, increase AMR. AMS was also not a well-known concept among final-year nurses. The lack of knowledge regarding antibiotics, AMR, and AMS among final-year nurses could have important repercussions in practice once these nurses are qualified. Consequently, this information gap needs to be urgently addressed going forward with updated curricula and post-qualification educational activities to reduce AMR in South Africa
Adaptive Wavelet-Based Correction of Non-Anechoic Antenna Measurements

Non-anechoic measurements represent an affordable alternative to evaluation of antenna performance in expensive, dedicated facilities. Due to interferences and noise from external sources of EM radiation, far-field results obtained in non-ideal conditions require additional post-processing. Conventional correction algorithms rely on manual tuning of parameters, which make them unsuitable for reliable testing of prototypes. In this work, a wavelet-based correction method with an adaptively adjusted setup has been proposed. The performance of the presented framework has been demonstrated using an electrically small monopole antenna evaluated in the non-anechoic test site (here, a regular office room). The method has been favorably compared against the existing techniques from the literature.
Enhancing Innovation Management and Venture Capital Evaluation via Advanced Deep Learning Techniques

Innovation management involves planning, organizing, and controlling innovation within an organization, while venture capital evaluation assesses investment opportunities in startups and early-stage companies. Both fields require effective decision-making and data analysis. This study aims to enhance innovation management and venture capital evaluation by combining CNN and GRU using deep learning. The approach consists of two steps. First, the authors build a deep learning model that fuses CNN and GRU to analyze diverse data sources like text, finance, market trends, and social media sentiment. Second, they optimize the model using the gorilla troop optimization (GTO) algorithm, inspired by gorilla behavior. GTO efficiently explores the solution space to find optimal or near-optimal solutions. The authors compare the fused CNN-GRU model with traditional methods and evaluate the GTO algorithm's performance. The results demonstrate improvements in innovation management and venture capital evaluation.
Case Report: Four cases of cardiac sarcoidosis in patients with inherited cardiomyopathy—a phenotypic overlap, co-existence of two rare cardiomyopathies or a second-hit disease

Cardiac sarcoidosis (CS), a rare condition characterized by non-caseating granulomas, can manifest with symptoms such as atrioventricular block and ventricular tachycardia (VT), as well as mimic inherited cardiomyopathies. A 48-year-old male presented with recurrent VT. The initial 18F-fluorodeoxyglucose positron emission tomography (18FDG-PET) scan showed uptake of the mediastinal lymph node. Cardiovascular magnetic resonance (CMR) demonstrated intramyocardial fibrosis. The follow-up 18FDG-PET scan revealed the presence of tracer uptake in the left ventricular (LV) septum, suggesting the likelihood of CS. Genetic testing identified a pathogenic LMNA variant. A 47-year-old female presented with complaints of palpitations and syncope. An Ajmaline provocation test confirmed Brugada syndrome (BrS). CMR revealed signs of cardiac inflammation. An endomyocardial biopsy (EMB) confirmed the diagnosis of cardiac sarcoidosis. Polymorphic VT was induced during an electrophysiological study, and an implantable cardioverter-defibrillator (ICD) was implanted. A 58-year-old woman presented with sustained VT with a prior diagnosis of hypertrophic cardiomyopathy (HCM). A genetic work-up identified the presence of a heterozygous MYBC3 variant of unknown significance (VUS). CMR revealed late gadolinium enhancement (LGE), while the 18FDG-PET scan demonstrated LV tracer uptake. The immunosuppressive therapy was adjusted, and no further VTs were observed. A 28-year-old male athlete with right ventricular dilatation and syncope experienced a cardiac arrest during training. Genetic testing identified a pathogenic mutation in PKP2. The autopsy has confirmed the presence of ACM and a distinctive extracardiac sarcoidosis. Cardiac sarcoidosis and inherited cardiomyopathies may interact in several different ways, altering the clinical presentation. Overlapping pathologies are frequently overlooked. Delayed or incomplete diagnosis risks inadequate treatment. Thus, genetic testing and endomyocardial biopsies should be recommended to obtain a clear diagnosis.
Challenges to Demonstrating Efficacy When Translating Microwave Diagnostic Devices

Microwave interactions with biological tissues have been proposed and examined for medical diagnostics for over forty years, yet despite substantial academic and industrial interest, very few diagnostic devices are in clinical use. Drawing on evidence from the literature, several common challenges to clinical translation of microwave diagnostic devices are identified with a particular emphasis on clinical efficacy. This work highlights potential solutions and practical approaches from related fields to help bridge the translational gap.
The botanic garden tourism gaze:perceptions & (re)presentations

The purpose of this exploratory study is to highlight perceptions of 3 Botanic Gardens across the UK as visitor attractions; in order to develop a model for managers to use for understanding and developing place making of Botanic Gardens. The study serves to inform and develop marketing and operational management outputs. Analysis of 586 online reviews, comments and perceptions from 2007 to 2017 follows qualitative methodology techniques utilising a combination of manual and automatic text analysis. On the whole there are positive sentiments toward the BGs. Greater volume of reviews were highlighted across 2 of the BGs with the other needing to develop communications and online resources and presence. Key findings revealed the need for these 3 BGs to strengthen public perception of their importance and value. These insights, although focused on BGs can be applied to a range of gazes across other visitor attractions, places and spaces.
A Novel Method for Evaluating Early Tumor Response Based on Daily CBCT Images for Lung SBRT

Simple Summary The assessment of tumor response is important in evaluating cancer treatment and predicting clinical outcomes. The currently used response evaluation criteria in solid tumors (RECIST) are based on tumor size and have limitations in tumor response assessment. We proposed a novel radiologic parameter (R) that combines radiologic tumor changes in size, contrast, and density and utilized patients’ daily cone-beam computerized tomography (CBCT) to evaluate early tumor response to stereotactic radiation therapy (SBRT) for lung cancer. In total, 132 lung cancer patients with 134 tumors were selected for this study. The results of R agreed well with the radiologic assessment performed by an experienced radiologist. Therefore, R can be used for quick, inexpensive, and accurate tumor evaluation for lung SBRT treatment. Abstract Background: We aimed to develop a new tumor response assessment method for lung SBRT. Methods: In total, 132 lung cancer patients with 134 tumors who received SBRT treatment with daily CBCT were included in this study. The information about tumor size (area), contrast (contrast-to-noise ratio (CNR)), and density/attenuation (μ) was derived from the CBCT images for the first and the last fractions. The ratios of tumor area, CNR, and μ (RA, RCNR, Rμ) between the last and first fractions were calculated for comparison. The product of the three rations was defined as a new parameter (R) for assessment. Tumor response was independently assessed by a radiologist based on a comprehensive analysis of the CBCT images. Results: R ranged from 0.27 to 1.67 with a mean value of 0.95. Based on the radiologic assessment results, a receiver operation characteristic (ROC) curve with the area under the curve (AUC) of 95% was obtained and the optimal cutoff value (RC) was determined as 1.1. The results based on RC achieved a 94% accuracy, 94% specificity, and 90% sensitivity. Conclusion: The results show that R was correlated with early tumor response to lung SBRT and that using R for evaluating tumor response to SBRT would be viable and efficient.
On the Sideband Harmonics in Pulsed Frequency Diverse Arrays

Pulsed frequency diverse arrays (FDAs) have recently garnered significant research attention in radar and sensing applications due to their range-dependent radiation properties. However, the time-dependent nature of radiation can limit the benefits of FDAs. While recent methods have been proposed to mitigate this limitation and enhance the functionality of FDAs, there is an urgent need to better characterize their radiated power profile and specifically to address the substantial power losses in the sideband harmonics. In this paper, we bridge this gap in the literature by presenting a new closed-form expression for the sideband radiated power (SRP). Additionally, we explore practical limitations outlined in the existing literature that pertain to achieving time-independent radiation concerning SRP consumption. Finally, our theoretical analysis is supported by numerical examples. A noteworthy insight from our work is that treating pulsed FDA systems as time-independent may lead to unreliable conclusions, underscoring the importance of addressing the SRP issue in future research.