Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnostic assertiveness of cerebellar pilocytic astrocytoma in the pediatric age

Pilocytic astrocytoma of the cerebellum in the pediatric age is the most frequent benign tumor lesion of the nervous system in children according to the WHO. International literature mentions that being low-grade tumors they have a high curative capacity. If the entire tumor is resected, when it is completely removed, survival increases with a high quality of life for children who presented this pathology and was treated on time. However, the delay in diagnosis and therefore in its treatment could generate the possibility of tumor transformation, the malignant nature of the transformed injuries has a very high morbidity and mortality, without mentioning that the degree of cognitive sequelae greatly affects the quality of life of the survivors. That is why the training of pediatric and non-pediatric first contact doctors imply a great responsibility since it gives the population and patients suffering from this nosology the possibility to improve their future life, as well as reduce the cost of the impact caused by the injuries they suffer. On the other hand, these tumors can transform generating devastating prognoses, without taking into account the economic and social repercussions of patients suffering from a low-grade tumor. When it is detected and treated assertively in a timely manner, it offers them greater opportunities than those who did not have such a timely diagnosis.
Taxpayer Behavior Towards Fixed Asset Revaluation

The development of tax incentive policies designed to suit the interests and prevailing tax laws and regulations so that this research is directed at identi-fying, analyzing, and designing effective tax incentive policies. This study aims to describe how taxpayers' behavior towards their decisions in fixed asset revaluation.This study is descriptive in nature, using the Research and Development approach through exploratory studies. This research is not designed to test hypotheses, but describes the data, facts and trends that occur, then analyzed and recommended what kind of Fixed Asset Revaluation policy model should be made to increase taxpayer compliance which can then increase tax revenue. Data obtained by interview techniques, with respondents consisting of corporate taxpayers and experts in the field of Asset Valuation Accounting. The research was conducted for 6 months, data collection was carried out in Bandung. The results of the research aim to be used as input for the Directorate General of Taxes in making tax incentive policies in Fixed Asset Revaluation.
Designing the Concept of Good Corporate Governance in Family Company

This research aims to design the principles of Good Corporate Governance in the bottled mineral water manufacturing company CV. XYZ. This company is a purely family company, which is one hundred percent family owned. This study uses a qualitative method with a case study approach. Data collection using interviews and documentation. Researchers interviewed the passive committee, directors, deputy directors, and Ciputra University lecturers as experts. After getting the data through interviews, the data were analyzed by examining data from various sources, after which the data was reduced, categorized, data validity and drawing conclusions. Testing the validity of the data using source triangulation. The result of this research shows that the company has indirectly implemented the concept of Good Corporate Governance such as transparency, responsibility, independence, and fairness. However, only the principle of Accountability has not been implemented, because the company has so far not had a clear organizational structure and no formal written policies and SOPs.
The Effect of Operational Risk, Credit Risk And Revenue Diversification on Profitability

This study aims to determine the effect of Operational Risk, Credit Risk and Income Diversification on Profitability in banking companies listed on the IDX for the 2016-2020 period.The analytical method used is Panel Data Regression analysis. The results obtained from this study: i) Operational Risk has a positive and significant effect on profitability in banking companies listed on the IDX for the 2016-2020 period. ii) Credit Risk has a negative and significant effect on profitability in banking companies listed on the IDX for the 2016-2020 period. iii) Income Diversification has a negative and significant effect on profitability in banking companies listed on the IDX for the 2016-2020 period. iv) Operational Risk, Credit Risk and Diversification have a positive and significant simultaneously positive and significant effect on Profitability in Banking companies listed on the IDX for the 2016-2020 period.
The Role of Personality in Early Alliance Formation in the Context of Clinical Supervision of Psychotherapists in Training

The literature suggests that working alliance is an important predictor of clinical supervision outcomes. However, little is known about the individual factors that influence the development and maintenance of the working alliance. This study aims to explore the role of supervisor and trainee personality traits in the development of early working alliances, as well as supervisor and trainee concordance rates in the context of clinical supervision. This study used the NEO-PI-3 measure to assess personality traits and the Working Alliance Inventory-Supervisor and Trainee Versions (WAI) measures to assess working alliance ratings. Results suggest that supervisors rate the strength of their alliances as significantly stronger than trainees (p < .05). While no trainee personality traits were found to predict their perception of the early alliance, the openness domain was found to be significantly associated to supervisor’s self-reported ratings of alliance. Implications of these findings are discussed.
Muscle Cramps Profile among Spinocerebellar Ataxias

Spinocerebellar ataxias (SCAs) constitute a heterogeneous group of neurodegenerative disorders, with an autosomal dominant inheritance. More than 40 different SCAs have already been identified, and SCA3, SCA2, and SCA1 are the most frequent types. [1] The most common symptom is cerebellar ataxia, but other clinical manifestations may occur, suggesting a specific mutation that could further guide the genetic testing, such as “bulging‐eyes” and upward gaze palsy in SCA3, seizures in SCA10, among others. [1‐3]
Metro Vehicle for Shenyang Metro Line 2

This paper introduced the metro vehide for Shenyang metro line 2, which included the general layout, technical specifications and vehicle body, traction system, braking system, auxiliary power system, train control and diagnose system. This paper also summaried the main technical characteristics of the metro vehicle for Shenyang metro line 2.
Prioritizing public health? Factors affecting the issuance of stay-at-home orders in response to COVID-19 in Africa

COVID-19 has sickened and killed millions of people globally. Conventional non-pharmaceutical interventions, particularly stay-at-home orders (SAHOs), though effective for limiting the spread of disease have significantly disrupted social and economic systems. The effects also have been dramatic in Africa, where many states are already vulnerable due to their developmental status. This study is designed to test hypotheses derived from the public health policymaking literature regarding the roles played by medical and political factors as well as social, economic, and external factors in African countries’ issuance of SAHOs in response to the early stages of the COVID-19 pandemic. Using event history analysis, this study analyzed these five common factors related to public health policy to determine their impact on African states’ varying decisions regarding the issuance of SAHOs. The results of this analysis suggest that medical factors significantly influenced decisions as did factors external to the states, while the role of political factors was limited. Social and economic factors played no discernible role. Overall, this study suggests how African leaders prioritized competing factors in the early stages of a public health crisis.
MSMEs Marketing Strategy with the Use of Social-Media in the COVID-19 Pandemic Era

Micro, Small, and Medium Enterprises, commonly abbreviated as MSMEs, is one of the pillars of the economy in Indonesia. It is proven that the MSMEs sector has repeatedly survived various crises that hit Indonesia starting from the monetary crisis in 1998 and the global crisis in 2008. Entering 2020, the world is again experiencing a more severe crisis, namely the COVID-19 pandemic. This crisis is seen as more severe because it has caused a worldwide health emergency that impacts other sectors, especially the economy. Restrictions on outdoor activities known as lockdowns have caused world economic activities to stop. This also impacts the activities of the MSMEs sector, which relies on economic turnover that comes from human activities. The MSMEs sector has been able to survive because of the direct marketing activities of individuals. The prohibition of gathering and opening a business openly (especially in the culinary sector) has had a significant impact on sustainability. Because of this, new marketing strategies for MSMEs sector players are needed to survive and even grow during the COVID-19 pandemic as it is today. Since the COVID-19 pandemic is imminent, this study aims to develop a marketing strategy for small businesses. This study employs a descriptive method and a qualitative approach. When the COVID-19 pandemic begins, UMPM must develop a marketing strategy that will allow them to continue to grow their business or at least to survive. There are eight reasons, namely a) Consumers are active on Social-Media; b) Easy contact with consumers; c) Increase Brand Visibility; d) The widest WOM container; e) e) Has Many Types of Platforms with Different Types of Consumers; f) Assisting in consumer targeting and retargeting; g) Using media more effectively, h) Increasing sales.
Berberine ameliorates DSS-induced intestinal mucosal barrier dysfunction through microbiota-dependence and Wnt/β-catenin pathway

Ulcerative colitis (UC) is an idiopathic, chronic inflammatory disorder of the colon, and it has become one of the world-recognized medical problems as it is recurrent and refractory. Berberine (BBR) is an effective drug for UC treatment. However, the underlying mechanism and targets remain obscure. In this study, we systematically investigated the therapeutic effect and its mechanism of BBR in ameliorating DSS-induced mouse colitis. Expectedly, the colon inflammation was significantly relieved by BBR, and microbiota depletion by antibiotic cocktail significantly reversed the therapeutic effect. Further studies showed that BBR can regulate the abundance and component of bacteria, reestablish the broken chemical and epithelial barriers. Meanwhile, BBR administration dramatically decreased ILC1 and Th17 cells, and increased Tregs as well as ILC3 in colonic tissue of DSS-induced mice, and it was able to regulate the expression of various immune factors at the mRNA level. Moreover, a proteomic study revealed that Wnt/β-catenin pathway was remarkably enhanced in colonic tissue of BBR-treated mice, and the therapeutic effect of BBR was disappeared after the intervention of Wnt pathway inhibitor FH535. These results substantially revealed that BBR restores DSS-induced colon inflammation in a microbiota-dependent manner, and BBR performs its protective roles in colon by maintaining the structure and function of the intestinal mucosal barrier, regulating the intestinal mucosal immune homeostasis and it works through the Wnt/β-catenin pathway. Importantly, these findings also provided the proof that BBR serves as a potential gut microbiota modulator and mucosal barrier protector for UC prevention and therapy.
Optimization of frequency ranges in health monitoring of RC frame using embedded PZT sensors

The present study experimentally investigates the systematic performance in monitoring the high cycle fatigue damages of Reinforced Concrete (RC) frame structure while implementing the Electro-mechanical Impedance (EMI) technique. PZT transducers embedded in concrete frame in form of ceramic patches has been excited electrically at healthy and damaged states of frame prototype for acquiring mechanical impedance based signature responses in different frequency ranges. For the purpose of optimization, seven different exciting frequencies ranges i.e. 100 kHz 150 kHz, 150 kHz 200 kHz, 100 kHz 200 kHz, 500 kHz 600 kHz, 600 kHz 700 kHz, 900 kHz 1000 kHz, and 20 Hz 1000 kHz were chosen for obtaining reliable estimation of damage severity due to induced fatigue loads. Signatures variations in form of root mean square deviation (RMSD) and cross-coefficient damage metric (CCDM) for impedance real part, i.e. conductance (G) and as well as for imaginary part i.e. susceptance (B) in user defined frequency ranges has been plotted and compared for different damaged states. Results revealed a successful demonstration in predicting fatigue damage using embedded PZT sensors in frequency range 100 kHz 200 kHz when compared with other considered frequency ranges. Findings of the present study guide the future researchers and engineers to take concise frequency ranges while monitoring the health of RC structures ultimately saving the procedure time while ensuring effectiveness of PZT transducers in arresting high cycle fatigue damages.
Spatial distribution and morphometry of the succineid snail Succinea baconi (Pfeiffer, 1854) in India

The spatial distribution and morphological features of the land snail Succinea baconi (Pfeiffer, 1854) (Gastropoda: Succineidae) from India were evaluated. The survey performed in gardens and bushes in Coochbehar, West Bengal, India, has made it possible to assess the abundance of the snail S. baconi on the randomly selected lemon plants (n = 18). Logistic regressions were employed to judge differences in vertical distribution, resource association and size class variation in the snails under study. Variation in shell morphology was assessed by performing the regression analysis of the sampled shells of live snails (n = 258) and vacant shells of the deceased individuals (n = 100). An overall significant difference (p < 0.05) in the vertical distribution of snails in lemon plants was observed. As to their association with resources available, snails were found to be more abundant in detritus than on living parts of the plants. The performed logistic regression revealed that the relative abundance of different S. baconi size classes was significantly different (p < 0.001). Significant correlations (p < 0.001) were found among different body size variables, with the shell length (x)-body weight (y) relationship being: y = 0.232x2. 524 (for live snails) and the shell length (x)-shell weight (y) relationship being: y = 0.358x2. 537 (for shells of dead snails). Various parameters of the snail shell shape could be represented through regression equations. Although reproduction and growth strategies of snails need to be explored further, the presented observations improve our understanding of the ecology of S. baconi, which may prove useful for future conservation efforts.
Sociocultural specifics of Russia’s regions: common features and differences

There is abundant evidence of the correlation between culture (or sociocultural characteristics, by which we mean here values and behavioral attitudes shared by a certain community and changing slowly over time) and economic and innovation development. At present most studies have been carried out at national level. At the same time, sociocultural differences within the countries with a large territory and significant socio-economic and ethnic diversity (Russia, in particular) are understudied. The subject of the research is the differences in socio-cultural characteristics between Russia’s regions. The purpose of the paper is to determine the presence or absence of differences in socio-cultural characteristics according to G.Hofstede between the regions of Russia. The empirical basis for the study is data from representative polls, collected by the Russian Venture Company and the Institute for National Projects in 14 regions in 2018–2020. Econometric analysis (ecological approach) and univariate disperse analysis shows the existence of sociocultural heterogeneity between Russian regions measured with Hofstede characteristics: individualism and power distance (more pronounced differences) and uncertainty avoidance and long-term orientation (less pronounced differences). Statistical differences between regions in masculine dimension are non-existent. Regions tend to form sociocultural clusters that are not explained by geographic, socio-economic or ethnic factors separately. The results are useful for the analysis of sociocultural drivers and barriers for regional development, as well as for institutional design, raising efficiency of formal institutions by harmonizing them with regional culture.
A Game Theoretic Approach to Irregular Repetition Slotted Aloha

Many technological enhancements are being developed worldwide to enable the “Internet of Things” (IoT). IoT networks largely rely on distributed access of billions of devices, but are still lagging in terms of combined reliability and low latency. To mend that shortcoming, it is paramount to adapt existing random access methods for the IoT setting. In this article, we shed light on one of the modern candidates for random access protocols fitted for IoT: the “Irregular Repetition Slotted ALOHA” (IRSA). As self-managing solutions are needed to overcome the challenges of IoT, we study the IRSA random access scheme in a distributed setting where groups of users, with fixed traffic loads, are competing for ALOHA-type channel access. To that aim, we adopt a distributed game-theoretic approach where two classes of IoT devices learn autonomously their optimal IRSA protocol parameters to optimize selfishly their own effective throughput. Through extensive simulations, we assess the notable efficiency of the game based distributed approach. We also show that our IRSA game attains the Nash equilibrium (NE) via the “better reply” strategy, and we quantify the price of anarchy in comparison with a centralized approach. Our results imply that user competition does not fundamentally impact the performance of the IRSA protocol.
Supernova Rates and Burial of Organic Matter

Life on Earth appears to have evolved under the influence of supernovae activity in the solar neighborhood. Supernovae frequency regulates the flux of cosmic ray particles arriving at the top of the Earth's atmosphere, where empirical evidence supports a close connection between cosmic rays, clouds, and climate. Burial of organic matter in marine sediments follows cosmic rays variations for more than 3.5 Gyr and in detail during the last 500 Myr. The supernovae link to the burial of organic matter may be due to climate‐induced changes in the atmospheric and oceanic circulation affecting the availability of nutrients and the bioproductivity in the oceans. A higher bioproductivity then leads to a more extensive burial of organic matter. Support for this scenario comes from a proxy of nutrient concentrations in the ocean which covaries with the supernovae frequency. The results suggest a fundamental connection between supernovae rates and life on Earth.
Self-Directed Learning During the COVID-19 Pandemic: Perspectives of South African Final-Year Health Professions Students

Purpose Self-directed learning (SDL) has been advocated for effective training of final-year health professions students. COVID-19 challenges conventional teaching, learning, and assessment in the clinical environment. This study aimed to identify and explore enablers and barriers to SDL among final-year health professions students training during the COVID-19 pandemic. Methods Adopting the SWOT (strengths, weaknesses, opportunities and threats) framework, this study explored the clinical learning and training experiences of final-year health professions students during the pandemic. A survey was conducted via online platforms. Data from 155 respondents were thematically analyzed. Results Personal attributes such as reflection, self-determination, motivation, resilience, and positive learning behaviors and skills were identified as SDL enablers. Collaborative learning networks and online learning platforms facilitate learning needs and goals. Fear and anxiety, untrusted learning sites, uncertainty about graduation, financial issues and challenges in the learning environments were the major themes related to barriers to SDL. Conclusion The importance of SDL as a skill for uncertain times warrants further investigation in the training of future healthcare professionals. Inclusive planning and engagement with final-year health professions students to address identified stressors, as well as the creation of shared platforms where students are part of the decision-making processes for clinical learning and training are recommended. Responsive curricula that optimize unpredictable disruptions in clinical training are needed to equip students to diagnose their own learning needs and implement appropriate learning strategies.
Regionalization of scar patterns on the Florida Manatee (Trichechus manatus latirostris) observed at Harbor Branch Oceanographic Institute, Florida

The Florida manatee (Trichechus manatus latirostris) is native to Florida and the Indian River Lagoon. Harbor Branch Oceanographic Institute (HBOI) is located on the Indian River Lagoon and is frequently visited by manatees. The Manatee Project was created in 2009 to document and photograph the manatees visiting HBOI. Analyzing photographs of 146 manatee that visited HBOI showed that a majority of the injuries sustained were caused by boats. This study found 97% of the manatee had at least one propeller injury and 31% of the manatee had at least one skeg injury. Other non-boat related injuries seen in the images included cold stress and entanglement injuries. The vast majority of scars were due to boat collisions. Propeller scars were found in 97% of the individuals examined in this study. The most prevalent injury locations were the left and right posterior back and left and right tail paddle.
Statistical Inference with Stochastic Gradient Algorithms

Tuning of stochastic gradient algorithms (SGAs) for optimization and sampling is often based on heuristics and trial-and-error rather than generalizable theory. We address this theory–practice gap by characterizing the statistical asymptotics of SGAs via a joint step-size–sample-size scaling limit. We show that iterate averaging with a large ﬁxed step size is robust to the choice of tuning parameters and asymptotically has covariance proportional to that of the MLE sampling distribution. We also prove a Bernstein–von Mises-like theorem to guide tuning, including for generalized posteriors that are robust to model misspeciﬁcation. Numerical experiments validate our results in realistic ﬁnite-sample regimes.