Miracle-dz/UniFAR-FTUs huggingface dataset:
Management Landscape of Pediatric Hidradenitis Suppurativa

Introduction: Pediatric hidradenitis suppurativa (HS) is an understudied condition, and the literature describing the provider landscape for this disease is limited. We aim to characterize healthcare utilization in a cohort of pediatric HS patients at an academic institution. Methods: Patients diagnosed with HS before age 18 were identified via retrospective chart review using ICD-9/10 codes for HS. Data on demographics and HS providers were collected. Results: We found that half of the pediatric HS patients first presented to primary care with their HS symptoms. There was a mean delay in diagnosis of 2 years. Dermatologists and pediatricians were the principal HS care providers, and dermatologists most frequently prescribed treatment or procedures (63%). We also found a low rate of utilization of the HS specialty clinic (11%). Females, patients with more severe disease, and patients with earlier age of onset were more likely to be seen by a dermatologist. Conclusions: Dermatologists play a pivotal role in pediatric HS management as principal care providers for patients. Increasing HS awareness among primary care providers, including pediatricians, is critical for early diagnosis and initiation of treatment.
Origin of the colossal permittivity of (Nb + In) co-doped rutile ceramics by wide-range dielectric spectroscopy

ABSTRACT Searching for giant dipolar defects, suggested as the explanation of the colossal permittivity (CP) in (Nb + In) co-doped rutile, we have recently published (J. Appl. Phys. 119, 154105 (2016) and Phys. Rev. Mat. , in press) temperature-dependent dielectric spectra from sub-Hz to THz range (including 4-point DC conductivity) of several (Nb + In) co-doped rutile ceramics. Using the model of two leaky capacitor in series below ∼1 MHz, we estimated the depletion layer thickness and conductivity. The spectra below ∼10 GHz were fitted with two Cole–Cole relaxations obeying the Arrhenius law, assigned to the effect of depletion layers and grain boundaries. In this paper, using effective medium models, we have for the first time modelled the spectra as a composite of semiconducting grains and substantially less-conducting grain boundaries and near-electrode depletion layers. The CP effect has been fully explained by the combination of surface and internal barrier-layer capacitor effects, without any measurable contribution from the dipolar defects.
Assessment of antioxidant activity of citronellal extract and fractions of essential oils of Citrus hystrix DC

Purpose : To evaluate the antioxidant activities and chemical compositions of citronellal extract and fractions of essential oils of Citrus hystrix. Methods : Antioxidant activity was examined using 1,1-diphenyl-2-picrylhydrazyl (DPPH) assay. Essential oil was produced by steam distillation while isolated citronellal and fractional distillates were obtained on a PiloDist 104-VTU fractional column at 5 mBar pressure and a reflux ratio of 20:10. Gas chromatography-mass spectrometry was used to determine their chemical composition. Results : All the essential oils produced from parts of C. hystrix, i.e., twigs oil (CHT), leaves-twigs oil (CHTL), leaves oil (CHL), and fruit peels oil (CHP), citronellal extract of CHL oil (CHLCE) and the distillation fractions of CHT oil (F1–F9), exhibited antioxidant activity. CHP exhibited the highest antioxidant activity. The chemical composition of CHT, CHTL and CHL was dominated by oxygenated monoterpenes (OMs), whereas that of CHP and F1 comprised mainly of a hydrocarbon monoterpene (HM). Conclusion : The antioxidant activities of essential oils from parts of C. hystrix and the fractions produced by essential oil fractional distillation exhibited a combination of HMs and OMs. Essential oils of CHP and F3 produced from the essential oil fractional distillation of CHT with a nearly equal composition of HM and OM compounds had higher antioxidant activity than the other essential oils and fractions, with IC50 values of 6.43 and 2.40 μL/mL, respectively. Keywords : Citrus hystrix, Essential oil, Hydrocarbon monoterpene, Oxygenated monoterpene, Antioxidant
A New Stock Trade Technical Indicator

This paper is focused on the new stock trade technical indicator that I developed to help indicate whether the stock is in an uptrend or downtrend. The new technical indicator is compared with the moving average convergence divergence (MACD) crossover and histogram to determine the accuracy of each technical indicator. The comparison shows that the new technical indicator had a higher accuracy percentage, as well as fewer losses, compared to the MACD crossover and histogram.
Romantic Relationships in Alcohol Use Disorder Recovery: A Qualitative Content Analysis

ABSTRACT Alcohol use disorder (AUD) thrives in isolation. Recovery requires healthy and supportive relationships in order to heal and grow. Many individuals in alcohol recovery find it challenging to establish and maintain meaningful romantic relationships, yet little research has examined this concept. With a particular focus on relationship insecurity and relationship safety, this study explored persons’ experiences of romantic relationships in AUD recovery. Twenty-three participant interviews were analyzed. A conventional content analysis was first used to inductively uncover categories and then a summative content analysis was utilized to examine textual frequencies. Categories, themes and coded frequencies informed the overall analyses. Three main categories emerged with themes explaining participants’ relationship experiences (Identifying Unsafe Relationships: negative and positive impact of conflict; Addressing Relationship Insecurity: anxiety and avoidance; and Establishing Relationship Safety: trust and recovery). Although there were several limitations, this study offers new insight on romantic relationships in AUD recovery. We emphasize the importance of establishing safety and addressing maladaptive attachment behaviors in order to better navigate toward healthy and supportive romantic relationships in recovery.
Language Change, Variation, and Universals

This volume is about how human languages get to be the way they are, why they are different from one another in some ways and not others, and why they change in the ways that they do. Given that language is a universal creation of the human mind, the puzzle is why there are different languages at all, why we don’t all speak the same language. And while there is considerable variation, there are ways in which grammars show consistent patterns. The solution to these puzzles, the author proposes, is a constructional one. Grammars consist of constructions that carry out the function of expressing universal conceptual structure. While there are in principle many different ways of accomplishing this task, the constructions that languages actually use are under pressure to reduce complexity. The result is that there is constructional change in the direction of less complexity, and grammatical patterns emerge that reflect conceptual universals. The volume consists of three parts. Part I establishes the theoretical foundations: situating universals in conceptual structure, formally defining constructions, and characterizing constructional complexity. Part II explores variation in argument structure, grammatical functions, and A′ constructions, drawing on data from a variety of languages, including English and Plains Cree. Part III looks at constructional change, focusing primarily on English and German. The study ends with some observations and speculations on parameter theory, analogy, the origins of typological patterns, and Greenbergian ‘universals’.
Prediction of Missing Semantic Relations in Lexical-Semantic Network using Random Forest Classifier

This study focuses on the prediction of missing six semantic relations (such as is_a and has_part) between two given nodes in RezoJDM a French lexical-semantic network. The output of this prediction is a set of pairs in which the first entries are semantic relations and the second entries are the probabilities of existence of such relations. Due to the statement of the problem we choose the random forest (RF) predictor classifier approach to tackle this problem. We take for granted the existing semantic relations, for training/test dataset, gathered and validated by crowdsourcing. We describe how all of the mentioned ideas can be followed after using the node2vec approach in the feature extraction phase. We show how this approach can lead to acceptable results.
A Computing Kernel for Network Binarization on PyTorch

Deep Neural Networks have now achieved state-of-the-art results in a wide range of tasks including image classification, object detection and so on. However, they are both computation consuming and memory intensive, making them difficult to deploy on low-power devices. Network binarization is one of the existing effective techniques for model compression and acceleration, but there is no computing kernel yet to support it on PyTorch. In this paper we developed a computing kernel supporting 1-bit xnor and bitcount computation on PyTorch. Experimental results show that our kernel could accelerate the inference of the binarized neural network by 3 times in GPU and by 4.5 times in CPU compared with the control group.
Current and Capital Account Dynamics in India: An Empirical Analysis of the Post-Reform Period

This article analyses the dynamics between current account (CA) and capital account in post-liberalisation India. Contemporaneous occurrence of CA deficit along with capital account surplus suggests the possible causal relationship between the two accounts. The theoretical debate around capital account liberalisation (KAL) is developed with the intention to lend support to empirical results for policy formulation. The analysis of arguments for and against KAL liberates us in interpreting the empirical results. Within the framework of KAL, this article proceeds to estimate the relationship between current and capital account. A set of econometric tests are performed on an Indian quarterly data over the period from 1996 to 2018. Econometric analysis reveals that capital account affects CA negatively. Short-run capital and debt flow also affect CA negatively, while foreign direct investment (FDI) affects it positively. We find debt flow to be an important factor, contributing to CA imbalance. Such dynamics is critical for any decision about KAL. From the analysis, it is observed that India needs to encourage FDI, while maintaining strict control over short-term capital, which is highly disruptive, and proceed cautiously towards full KAL. JEL Codes: C32, F21, F32
The angular resolution of GRAPES-3 EAS array after correction for the shower front curvature

The angular resolution of an extensive air shower (EAS) array plays a critical role in determining its sensitivity for the detection of point $\gamma$-ray sources in the multi-TeV energy range. The GRAPES-3 an EAS array located at Ooty in India (11.4$^{\circ}$N, 76.7$^{\circ}$E, 2200 m altitude) is designed to study $\gamma$-rays in the TeV-PeV energy range. It comprises of a dense array of 400 plastic scintillators deployed over an area of 25000 m$^2$ and a large area (560 m$^2$) muon telescope. A new statistical method allowed real time determination of the propagation delay of each detector in the GRAPES-3 array. The shape of shower front is known to be curved and here the details of a new method developed for accurate measurement of the shower front curvature is presented. These two developments have led to a sizable improvement in the angular resolution of GRAPES-3 array. It is shown that the curvature depends on the size and age of an EAS. By employing two different techniques, namely, the odd-even and the left-right methods, independent estimates of the angular resolution are obtained. The odd-even method estimates the best achievable resolution of the array. For obtaining the angular resolution, the left-right method is used after implementing the size and age dependent curvature corrections. A comparison of the angular resolution as a function of EAS energy by these two methods shows them be virtually indistinguishable. The angular resolution of GRAPES-3 array is 47$^{\prime}$ for energies E$>$5 TeV and improves to 17$^{\prime}$ at E$>$100 TeV and finally approaching 10$^{\prime}$ at E$>$500 TeV.
Decision fusion in healthcare and medicine: a narrative review.

Objective To provide an overview of the decision fusion (DF) technique and describe the applications of the technique in healthcare and medicine at prevention, diagnosis, treatment and administrative levels. Background The rapid development of technology over the past 20 years has led to an explosion in data growth in various industries, like healthcare. Big data analysis within the healthcare systems is essential for arriving to a value-based decision over a period of time. Diversity and uncertainty in big data analytics have made it impossible to analyze data by using conventional data mining techniques and thus alternative solutions are required. DF is a form of data fusion techniques that could increase the accuracy of diagnosis and facilitate interpretation, summarization and sharing of information. Methods We conducted a review of articles published between January 1980 and December 2020 from various databases such as Google Scholar, IEEE, PubMed, Science Direct, Scopus and web of science using the keywords decision fusion (DF), information fusion, healthcare, medicine and big data. A total of 141 articles were included in this narrative review. Conclusions Given the importance of big data analysis in reducing costs and improving the quality of healthcare; along with the potential role of DF in big data analysis, it is recommended to know the full potential of this technique including the advantages, challenges and applications of the technique before its use. Future studies should focus on describing the methodology and types of data used for its applications within the healthcare sector.
Predictors of Cardiac Arrest in Patients with Acute Myocardial Infarction in Singkawang City

The current nursing literature has not devoted adequate attention to studying cardiac arrest in hospitals, especially in patients with acute myocardial infarction. Identifying predictors of cardiac arrest in patients with acute myocardial infarction is needed to determine appropriate nursing strategies to prevent cardiac arrest. This study aims to determine the predictor factors of cardiac arrest in patients with acute myocardial infarction. This study used a retrospective cohort design with a population of 181 people who were treated with a diagnosis of STEMI and NSTEMI during 2017-2020. Data analysis using chi-square test, Spearman rank and logistic regression. Spearman rank analysis test, age p=0.045, r=0.149; systolic pressure p=0.002, r=-0.228; diastolic pressure p=0.020, r=-0.173; Heart rate p=0.064, r=0.138; the number of comorbid diseases p = 0.322, r = 0.074 and Killip class p = 0.000, r = 0.431. Chi-square analysis test, gender p=0.487, OR=1.322; ECG picture p=0.885, OR=1.060; troponin enzyme levels p=0.951, OR=1.025; and length of stay p=0.000, OR=0.181. The predictor factors for cardiac arrest in patients with acute myocardial infarction were Killip class, length of stay, systolic pressure and heart rate. The most dominant factor in influencing cardiac arrest in patients with acute myocardial infarction is the Killip class. Abstrak: Literatur keperawatan saat ini belum mencurahkan perhatian yang memadai dalam mempelajari henti jantung di rumah sakit khususnya pada pasien infark miokard akut. Mengidentifikasi factor predictor henti jantung pasien infark miokard akut diperlukan untuk menentukan strategi keperawatan yang tepat dalam mencegah kejadian henti jantung. Penelitian ini bertujuan untuk mengetahui factor prediktor kejadian henti jantung pada pasien infark miokard akut. Penelitian ini menggunakan desain cohort retrospective dengan populasi sebanyak 181 orang yang dirawat dengan diagnosis STEMI dan NSTEMI selama 2017-2020. Analisis data menggunakan uji chi-square, spearman rank dan regresi logistik. Uji analisis spearman rank, usia p=0.045, r=0.149; tekanan sistolik p=0.002, r=-0.228; tekanan diastolik p=0.020, r =-0.173; Heart rate p=0.064, r=0.138; jumlah penyakit komorbid p=0.322, r=0.074 dan kelas Killip p=0.000, r=0.431. Uji analisis chi square, jenis kelamin p=0.487, OR=1.322; gambaran EKG p=0.885, OR=1.060; kadar enzim troponin p=0.951, OR=1.025; dan lama rawat p=0.000, OR=0.181. Factor predictor kejadian henti jantung pada pasien infark miokard akut adalah kelas Killip, lama rawat, tekanan sistolik dan heart rate. Factor paling dominan dalam mempengaruhi henti jantung pada pasien infark miokard akut adalah kelas Killip.
Effect of pelleting on nutrients and energy digestibility in growing pigs fed corn-soybean meal-based diet or diet containing corn distillers dried grains with solubles (cDDGS), wheat middlings, and bakery meal

Abstract: This study was conducted to determine the effect of pelleting and diet type on the apparent ileal (AID) and total tract digestibility (ATTD) of nutrients and energy in growing pigs. Six pigs were cannulated at the ileum and were assigned to treatments following a crossover design. One diet was a control diet based on corn and soybean meal (CT). Part of it was replaced by corn distillers dried grains with solubles (cDDGS), wheat middlings, and bakery meal in the second diet (ByP). Diets were in mash (CT-MH and ByP-MH) or pelleted (CT-PT and ByP-PT) form. Results showed that pelleting increased digestibility in all diets with a distinct effect on the CT diet (interaction diet × pelleting, P < 0.05). Pelleting improved the AID of dry matter, crude protein, and energy by 17%, 27%, and 17% in the CT diet and by 10%, 9%, and 17% in the ByP diet (P < 0.01). The AID of amino acids followed the effect observed on crude protein (P < 0.01). Pelleting increased AID of total non-starch polysaccharides for the CT diet by 63% and 42% for the ByP diet (P < 0.01). The pelleting conditions improved the degradability of the compounds in the diets during digestion in pigs.
Operation and Challenges of Multi-Infeed LCC–HVDC System: Commutation Failure, AC/DC Power Flow, and Voltage Stability

This paper presents a detailed analysis of commutation failure, AC/DC power flow, and voltage stability of multi-infeed high-voltage direct current (HVDC). The use of HVDC power transmission technology has become common in modern power systems. During the past two decades, HVDC technology has been extensively used for long-distance bulk power transmission to remote areas. Throughout the world, the demand for power has drastically increased in recent years due to industrialization; such situations make HVDC an economic candidate because the distance between power generation plants and load areas is significantly very long. The line-commutated converter (LCC) technology-based HVDC system is well more mature than other available conversion schemes (i.e., voltage source converters), and it is widely used in high-power projects. China had approximately 50 HVDC–LCC links in 2020, and a single LCC-based link with the highest capacity is 12 GW. The installation of several HVDC links in an existing power network has led to a situation where two or more HVDC links terminate in the electric vicinity of each other’s AC network or even in same AC busbar. Such scenarios are termed multi-infeed HVDC system. Multi-infeed HVDC systems bring various challenges related to voltage stability, local and concurrent commutation failure, and AC/DC power flow. Here, the literature available on these phenomena of LCC-based HVDC is discussed for future research. The assumptions and drawbacks of various techniques used for investigating the mentioned phenomena are also highlighted.
Development of Vanadium‐Coated Carbon Microspheres: Electrochemical Behavior as Electrodes for Supercapacitors

Vanadium‐coated carbon‐xerogel microspheres are successfully prepared by a specific designed sol–gel method, and their supercapacitor behavior is tested in a two‐electrode system. Nitrogen adsorption shows that these composite materials present a well‐developed micro‐ and mesoporous texture, which depends on the vanadium content in the final composite. A high dispersion of vanadium oxide on the carbon microsphere surface is reached, being the vanadium particle size around 4.5 nm. Moreover, low vanadium oxidation states are stabilized by the carbon matrix in the composites. The complete electrochemical characterization of the composites is carried out using cyclic voltammetry, chronopotentiometry, cycling charge–discharge, and impedance spectroscopy. The results show that these composites present high capacitance as 224 F g−1, with a high capacitance retention which is explained on the basis of the presence of vanadium oxide, texture, and chemistry surface.
Apoiando a colaboração de recém-chegados em equipes de desenvolvimento de software

O processo de integração de recém-chegados em equipes de desenvolvimento de software depende fortemente de processos bem definidos e da colaboração entre o novato e seus mentores. Um processo de integração eficaz dá aos novos membros, acesso a pessoas e informações necessárias para desempenhar suas funções com mais rapidez. O objetivo geral da pesquisa é investigar o processo de integração de recém-chegados em equipes de desenvolvimento de software. A metodologia proposta visa entender as estratégias e barreiras no processo de integração, além disso, será proposta a criação de um modelo de agente inteligente para viabilizar a colaboração e integração de recém-chegados em equipes de desenvolvimento de software.
Investigations of granular specimen size effect in interface shear box test using a micro‐polar continuum description

Parametric studies were carried out to investigate the effects of specimen size and interface friction angle on the mechanical behaviour of a cohesionless granular material in the interface shear box test under constant normal load and plane strain conditions. For a description of the pressure and density dependent properties of granular materials such as sand, a micro‐polar hypoplastic continuum model is used. Numerical simulations were performed to obtain the evolution of the deformations and the shear resistance for three different specimen lengths and interface friction angles using the finite element method in the updated Lagrange frame. Due to the presence of lateral rigid boundaries of the shear box, the deformations and the stresses became significantly inhomogeneous within the granular specimen. Correspondingly, the mobilised interface shear resistance and the deformation field within the specimen were not uniform along the interface. In the case of higher interface friction angles, the evolution of the mechanical quantities along the interface can also be influenced by the specimen size. It is shown that the calculated average friction angle mobilised along a rough interface is influenced by the shear box length and it can be lower than the prescribed one. In addition, the influence of sidewall friction inside the shear box frame was explored in terms of the response of the specimen. The results of the micro‐polar hypoplastic model were also compared with those obtained from the corresponding non‐polar version of the model to clarify the role of polar effects within the granular body. The numerical results provide new insights into the microstructural effects of the granular material on the mobilisation of the interface friction angle and indicate the complexities and difficulties to precisely determine and interpret the interface friction angle, obtained from the classical interface shear box experiment.