Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the Principle and Applications for High Voltage Device Based on SiC

The field of high-voltage electronics is rapidly evolving, with a particular focus on materials and devices that can withstand high voltages and temperatures while maintaining reliable performance. Silicon Carbide (SiC) is one such material that has been gaining significant attention due to its unique physical and chemical properties. This study will delve into the principle and applications of high-voltage devices based on SiC, exploring its potential for use in a range of power electronic systems. This paper will first explore the principle of SiC high-voltage devices, including a detailed analysis of the physical and chemical processes involved in their operation. Subsequently, this study will discuss the current state-of-the-art in SiC device fabrication and characterize the resulting devices based on their performance metrics. This will be followed by a discussion on the potential applications of SiC high-voltage devices in power electronics and beyond. Finally, this study will address the current limitations in SiC device research and development and explore possible future research directions that may lead to improved performance and reliability of SiC devices. By delving into the principle and applications of high-voltage devices based on SiC, this paper aims to provide a comprehensive understanding of the material’s unique properties and its potential for use in a range of power electronic systems. The analysis of current limitations and prospects will aid in identifying areas for future research and development efforts, leading to the advancement of SiC high-voltage devices for even more demanding applications.
MLMI: A Machine Learning Model for Estimating Risk of Myocardial Infarction

Cardiovascular diseases (CVD) are a global threat of high morbidity and mortality. Myocardial infarction (MI) due to coronary vessel malfunctions is one of the leading causes of mortality due to CVD. Interestingly, all CVD patients do not develop MI, and vice versa. Clinically, thus, it is a gray area. Therefore, an appropriate MI risk scoring (MIRS) tool could be useful to identify the high-risk (HR) population suffering from CVD. This research paper presents a hybrid machine learning (ML) model (MLMI) to identify MI risk where a) clustering of the CVD population with the help of the Gaussian mixture model (GMM) is used to identify the HR and not high-risk (NHR) groups, b) feature engineering of the members in both the HR and NHR populations using regression method that estimates the coefficient of determination (R2) to explore significant features to create the model by c) leveraging the R2 values > 0.7 as the key features of the input dataset to a d) Feed-forward neural network (FFNN) for scoring the risk on a set of synthetic patient data, created by three experienced medical doctors. The myocardial infarction risk scores (MIRS) would assist users in prioritizing the patients needing monitoring and treatment. Finally, the MIRS values are validated by another group of three medical doctors to curb the research bias. The sensitivity, specificity, precision, F1 scores, and accuracy of the MLMI model are computed to measure its efficiency. With limited input data, the proposed model shows an average accuracy, and precision of 77.33% each, while sensitivity and F1 score are 100% and 88%, respectively.
Assessment of risk factors associated with malocclusion among children visiting dental teaching hospital in Islamabad.

Introduction: Malocclusion was declared as a third priority prevailing oral health problem by World Health Organization. A timely evaluation of the factors associated with malocclusions in the primary dentition could help in the prevention and better management of occlusion-related complications. Objectives: This survey explored the frequency of risk factors in association with nonnutritive and oral contributors among children. Methodology: A pre-validated questionnaire used for this cross-sectional study conducted between October 2019 to December 2019. The study participants were children of age 10 to 16 years visiting orthodontics department of a private dental hospital in Islamabad. Convenience sampling was applied to collect data. Statistically investigation was analyzed through SPSS software version 21. Descriptive analysis involved presentation of frequency and percentages whereas inferential analysis involved chi square association test of demographics with malocclusion risk factors. Results: Majority of the surveyed children brush teeth once daily. Mixed method of horizontal as well as vertical style of brushing was utilized by 50.5% of the study participants. The hereditary factor from siblings was most frequently reported factor of malocclusion in current investigation. The results also indicate presence of significant association between class I, class II and class III of dental malocclusion and nonnutritive and oral habits among children (P <0.05). Conclusion: Desire This investigation concluded that gender, age and bad oral habits are strongly associated with malocclusion of teeth. Proper attention from parents for tooth care at early age can decrease the prevalence of malocclusion. Keywords: Dental malocclusion, oral habits, nonnutritive habits, children.
A decade of marine inorganic carbon chemistry observations in the northern Gulf of Alaska – insights into an environment in transition

Abstract. As elsewhere in the global ocean, the Gulf of Alaska is experiencing the rapid onset of ocean acidification (OA) driven by oceanic absorption of anthropogenic emissions of carbon dioxide from the atmosphere. In support of OA research and monitoring, we present here a data product of marine inorganic carbon chemistry parameters measured from seawater samples taken during biannual cruises between 2008 and 2017 in the northern Gulf of Alaska. Samples were collected each May and September over the 10 year period using a conductivity, temperature, depth (CTD) profiler coupled with a Niskin bottle rosette at stations including a long-term hydrographic survey transect known as the Gulf of Alaska (GAK) Line. This dataset includes discrete seawater measurements such as dissolved inorganic carbon and total alkalinity, which allows the calculation of other marine carbon parameters, including carbonate mineral saturation states, carbon dioxide (CO2), and pH. Cumulative daily Bakun upwelling indices illustrate the pattern of downwelling in the northern Gulf of Alaska, with a period of relaxation spanning between the May and September cruises. The observed time and space variability impart challenges for disentangling the OA signal despite this dataset spanning a decade. However, this data product greatly enhances our understanding of seasonal and interannual variability in the marine inorganic carbon system parameters. The product can also aid in the ground truthing of biogeochemical models, refining estimates of sea–air CO2 exchange, and determining appropriate CO2 parameter ranges for experiments targeting potentially vulnerable species. Data are available at https://doi.org/10.25921/x9sg-9b08 (Monacci et al., 2023).
Vinorelbine Improves the Efficacy of Sorafenib against Hepatocellular Carcinoma: A Promising Therapeutic Approach

Hepatocellular carcinoma (HCC) is a leading global cause of cancer-related mortality. Despite the widespread adoption of sorafenib as the standard HCC treatment, its efficacy is constrained, frequently encountering resistance. To augment the effectiveness of sorafenib, this study investigated the synergy of sorafenib and vinorelbine using 22 HCC patient-derived xenograft (PDX) models. In this study, mice bearing HCC tumors were treated with the vehicle, sorafenib (15 mg/kg), vinorelbine (3 mg/kg), and sorafenib–vinorelbine combination (Sora/Vino). Rigorous monitoring of the tumor growth and side effects coupled with comprehensive histological and molecular analyses was conducted. The overall survival (OS) of mice bearing HCC orthotopic tumors was also assessed. Our data showed a notable 86.4% response rate to Sora/Vino, surpassing rates of 31.8% for sorafenib and 9.1% for vinorelbine monotherapies. Sora/Vino significantly inhibited tumor growth, prolonged OS of mice bearing HCC orthotopic tumors (p < 0.01), attenuated tumor cell proliferation and angiogenesis, and enhanced necrosis and apoptosis. The combination therapy effectively suppressed the focal adhesion kinase (FAK) pathway, which is a pivotal player in cell proliferation, tumor angiogenesis, survival, and metastasis. The noteworthy antitumor activity in 22 HCC PDX models positions Sora/Vino as a promising candidate for early-phase clinical trials, leveraging the established use of sorafenib and vinorelbine in HCC and other cancers.
Research on Public Opinion of "Double Carbon" Policy and Spillover Effect of Futures Index of Three Major Sectors——Evidence from China

: To supplement the empirical research on the impact of "double carbon" policy on social economy from the perspective of online public opinion, the "double carbon" policy public opinion index is constructed with the help of search engine Baidu and the VAR-BEKK(DCC)-GARCH(1,1)model is used to scientifically quantify the spillover effect of "double carbon" policy public opinion and metal, chemical and agricultural futures index. The results show that there are one-way mean spillovers and volatility spillovers on the metal index and agricultural index of the "double carbon" policy public opinion index, and the impact of the "double carbon" policy public opinion has a short-term amplification effect, but the long-term effect is not significant. There are one-way mean spillovers and two-way volatility spillovers between the energy index and the public opinion index of the "two-carbon" policy, indicating that the energy index is most closely related to the public opinion of the "double carbon" policy, and it has strong pricing power. At the same time, it has the function of transmitting public opinion signals to traders. Based on the above findings, from the two levels of government and enterprise, suggestions are put forward, such as "stability first" macro policy, avoiding "sports" carbon reduction, and doing a good job of public opinion monitoring related to "double carbon" policy, and using it to monitor and predict the changes of related indexes.
Exploring Actual and Presumed Links between Accurately Inferring Contents of Other People’s Minds and Prosocial Outcomes

The term “empathic accuracy” has been applied to people’s ability to infer the contents of other people’s minds—that is, other people’s varying feelings and/or thoughts over the course of a social interaction. However, despite the ease of intuitively linking this skill to competence in helping professions such as counseling, the “empathic” prefix in its name may have contributed to overestimating its association with prosocial traits and behaviors. Accuracy in reading others’ thoughts and feelings, like many other skills, can be used toward prosocial—but also malevolent or morally neutral—ends. Prosocial intentions can direct attention towards other people’s thoughts and feelings, which may, in turn, increase accuracy in inferring those thoughts and feelings, but attention to others’ thoughts and feelings does not necessarily heighten prosocial intentions, let alone outcomes.
Research Online Research

Introduction Australian nurses have experienced higher levels of anxiety during the COVID-19 pandemic compared with the prepandemic. This may have affected their long-term mental health and intention to stay in the profession resulting in a workforce shortage, which further impacts the health of the public. Management is urgently required to improve nurses’ well-being. However, there is limited evidence available. The proposed clinical trial aims to evaluate the feasibility and therapeutic effects of using a combination of light acupuncture and five-element music therapy to improve nurses’ mental health and well-being during and post- COVID-19. Methods and analysis This randomised, single blinding, two-arm cross-over feasibility study involves a 1-week run-in period, 2-week intervention and 1-week run-in period in between interventions. Thirty-six eligible nurses will be recruited from the community and randomised into either a combination of light acupuncture treatment and five-element music therapy group or no treatment group for 2 weeks. After a 1-week run in period, they will be swapped to the different group. The primary outcome of this study is to evaluate the feasibility of a combination of light acupuncture treatment and five-element music therapy to improve nurses’ mental health and well-being. The secondary outcomes will include anxiety and depression, work productivity and activity, and quality of life assessments. Participants will be asked to complete a set of online questionnaires throughout the trial period. All analyses will be performed in R Studio V.1. 1.463. Ethics and dissemination Ethical approval was attained from Edith Cowan University’s Human Research Ethics Committee (No. 2021–02728-WANG). Research findings will be shared with hospitals and in various forms to engage broader audiences, including national and international conferences, presentations, open-access peer-reviewed journal publications, and local community workshop dissemination with healthcare professionals.
The influence of audit committee attributes on earnings management: Evidence from listed insurance firms

This job aims to confirm the role of audit committee (AC) attributes in curbing earnings management (EM) (discretionary accruals, DA). More significantly, it seeks to fully explore the moderating impact of audit quality (AQ) (Big4 companies) on the association of AC attributes with DA. The research subject is data from insurance businesses listed on the Saudi Stock Exchange (Tadawul) over an eight-year period (2014–2021). The data analyses from this period show that AC size, commitment, meetings, and independence negatively and significantly influence DA. However, AC experience was not linked to DA. The impact of moderating variables was also explored. AQ has a significant and negative moderating influence on the association of audit committee size (ACZ) with DA. Furthermore, the regression outcomes confirm that AQ does not affect the association of DA with other AC attributes. These findings can help investors and shareholders evaluate the trustworthiness and quality of annual reporting when deciding whether to invest in companies listed on Tadawul. They can also help Saudi policymakers develop and strengthen laws and regulations to assist and encourage firms’ production of reliable, quality financial statements.
Una mirada a la diversidad en las industrias radiofónica y musical en España

UNESCO’s approval of the Convention on the Protection and Promotion of the Diversity of Cultural Expressions (UNESCO, 2005) has been an important element in catalyzing any attempt to measure the diversity of cultural industries (UIS, 2011). Within this framework, this article analyzes the relations between the music and radio industries in Spain from a critical perspective through the analysis of available data on recorded music offer and consumption (sales lists, radio-formula lists, the characteristics of the phonographic and radio markets) in different key moments due to the emergence of new formats and devices (CDS, Mp3, Internet). The main goal of this work is to study the evolution of the Spanish record market in terms of diversity from the end of the 1970s to the present, through the study of radio music hits lists and, the business structure of the phonographic and radio sectors, and phonograms top sales
Confidence intervals for the ratio of two variances

In this paper we consider confidence intervals for the ratio of two population variances. We propose a confidence interval for the ratio of two variances based on the t-statistic by deriving its Edgeworth expansion and considering Hall's and Johnson's transformations. Then, we consider the coverage accuracy of suggested intervals and intervals based on the F-statistic for some distributions.
Observation Studies of Atmosphere Boundary Layer Characteristic over Dunhuang Gobi in Early Summer

Using the sonding data of wind, temperature and humidity in Dunhuang meteorological station during the intensive period of "Land-atmosphere interaction field experiment over arid region of Northwest China from end of May to early June 2000, the structure characteristics and change laws of the atmosphere boundary layer over arid region of Dunhuang are analyzed. The results show that the mean value of the atmosphere boundary layer thickness is obviously more higher than usually. The biggest depth of the convective boundary layer exceeds 4000 m, the stable boundary layer depth is 1000 m or so. The turning height of wind direction is at about 3000 m high. The wind was blowing easterly in lower layers and west in upper layers. There is some diurnal variation in the turning height, and the diurnal variation of all nine days is mainly identical. The velocity shear is the bigger in boundary layer. In most time the low-level east jet appears, its intensity is close to 20 m·s~(-1) and its height is about 500 m. The humidity inversion is below about 500 m and it appears mainly in the evening.
What does cognitive screening reveal about early cognitive performance following endovascular clot retrieval and intravenous thrombolysis in acute ischaemic stroke?

Background. Little is known regarding cognitive outcomes following treatment with endovascular clot retrieval (ECR) and intravenous tissue plasminogen activator (t-PA). We aimed to determine if there were any differences on a measure of cognitive screening between patients treated with ECR, t-PA, and those who were managed conservatively. Methods. The medical records of ischaemic stroke patients admitted to Monash Medical Centre between January 2019 and December 2019 were retrospectively reviewed. Information extracted from medical records included age, sex, National Institutes of Health Stroke Scale at presentation, location of occlusion, treatment type, medical history, and cognitive screening performance measured by the Montreal Cognitive Assessment (MoCA). Results. Eighty-two patients met the inclusion criteria (mean age = 66.5 ± 13.9; 49 male, 33 female). Patients treated with ECR performed significantly better on the MoCA ( n = 36, 24.1 ± 4.3) compared to those who were managed conservatively ( n = 26, 20.7 ± 5.5). Performance for patients treated with t-PA ( n = 20, 23.9 ± 3.5) fell between the ECR and conservative management groups, but they did not significantly differ from either. Conclusion. Our retrospective chart review found that ischaemic stroke patients treated with ECR appear to perform better on cognitive screening compared to patients who are managed conservatively. We also found that patients treated with ECR and t-PA appear to have similar cognitive screening performances in the acute stages following ischaemic stroke, although this finding is likely to have been impacted by group differences in stroke characteristics and may reflect the possibility that the ECR group performed better than expected based on their stroke severity.
Stabilization and Synchronization Control of Multi Coupled Hyperbolic-Parabolic Partial Differential Systems Based on Backstepping Method

Currently, scholars typically investigate the dynamics of two coupled partial differential systems. However, in practical engineering applications, there are often <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> coupled partial differential systems involved. In this paper, a novel <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> coupled hyperbolic-parabolic partial differential systems (HPPDS) is introduced. Firstly, the stabilization problem of the isolated HPPDS is addressed using Lyapunov functions and the backstepping method. Secondly, the synchronization problem of <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> coupled HPPDS is considered in the <inline-formula> <tex-math notation="LaTeX">${L^{2}} \times {H^{1}}$ </tex-math></inline-formula> sense. The synchronization problem of the target system is transformed into the stability problem of the decoupled system. The definition of synchronization error is provided, and the synchronization error system is derived. Subsequently, a boundary controller is designed using the backstepping method to achieve stability of the error system, i.e., synchronization of the <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> coupled HPPDS. Finally, two simulation examples are presented to demonstrate the validity of the obtained results.
INCIDENCE OF STORAGE FUNGI ACCORDING TO TOPDRESSING NITROGEN AND MAIZE VARIETIES

Maize is the main cereal grown in Brazil and is used mainly for animal feed and food consumption of its derivates. Under favorable environmental conditions, toxigenic fungi such as Fusarium, Aspergillus, and Penicillium spp. could produce mycotoxins in maize grain during plant growth or storage. This study aimed to evaluate the incidence of toxigenic fungi and its relationship with the grain weight of maize varieties grown under high and low topdressing nitrogen. The first factor consisted of 11 open-pollinated varieties, and the second factor of two topdressing nitrogen rates (60 and 180 kg ha-1). After harvesting the experimental units, the following variables were evaluated: 100-grain weight (HGW) and incidence of A. flavus, Penicillium spp. , and Fusarium spp. There were differences (p<0.05) among maize varieties for all evaluated variables. There was a significant interaction between varieties and nitrogen for the percentage of seeds infected by A. flavus, Fusarium spp. , and HGW. The incidence of fungi and HGW of maize depends on the variety and the topdressing nitrogen used.
8T-SRAM Based Process-In-Memory (PIM) System With Current Mirror for Accurate MAC Operation

Process-in-memory (PIM) is an emerging computing paradigm to overcome the energy bottleneck inherent in conventional computing platform. While PIM utilizes several types of memory elements, SRAM based PIM has been researched extensively for its high scalability and feasibility by using CMOS process technology. In this work, we proposed 8T SRAM based process-in-memory system with current mirror for accurate MAC operation. To resolve the nonlinearity issue inherent in current-based SRAM MAC macro, we utilized cascaded current mirror. Furthermore, to enable more precise MAC operation, we allocated RWL timing pulses which drive 8T SRAM bitcells in the middle of timing duration. Our PIM architecture realize 4 bit input, 4 bit weight and 4 bit output precisions. Prototype chip has been fabricated using TSMC 65nm GP process technology. Measurement result has proved the MAC operation linearity of designed 8T SRAM based PIM system, and its throughput and energy efficiency with 0.29 GOPs and 1.05 TOPs/W. Software level analysis proved that our design can achieve upto 98.02 percent accuracy for MNIST dataset classification and 94.93 percent accuracy for CIFAR-10 dataset classification.