Miracle-dz/UniFAR-FTUs huggingface dataset:
Glomeruloesclerosis focal segmentaria de variante colapsante asociada a VIH

Human immunodeficiency virus infection has changed after the start of highly active antiretroviral treatment, generating greater survival and fewer patient comorbidities. In these patients, the finding of acute renal failure is common, which may be associated with sepsis, drug toxicity, or direct involvement by the virus itself. A 49-year-old man consulted for a 3-day history of symptoms consisting of lower limb edema and foamy urine, had a history of hypothyroidism, arterial hypertension. On physical examination with grade edema in lower limbs with pitting. The admission paraclinics showed a positive HIV test, increased creatinine and BUN with a decreased glomerular filtration rate, and a negative autoimmune panel. The biopsy showed nephropathy with a membranoproliferative pattern with predominant deposits of C3, diffuse disease of the epithelial cell (podocytopathy) of the collapsing variant focal segmental glomerulosclerosis (FSGS) type. Nephropathy in patients with HIV infection is varied, where it can be associated with the use of medications or directly due to the effect of the virus (HIVAN). The prevalence is less than 10% and is characterized by glomerular collapse. Renal parenchyma cells express the chemokine receptors CCR5 and CXCR4 that are essential for the entry of HIV-1 strains into cells. The present case is interesting, since acute renal failure in the framework of a nephrotic syndrome was the first manifestation of a patient with HIV / AIDS.
A comparative study of air quality assessment before and during lockdown among Metro Cities of India

The aim of present study was to compare the air quality before and during lockdown due to COVID-19 pandemic at selected metro cities of India (Delhi, Kolkata, Bangalore, and Mumbai). The data of the selected parameters (Particulate Matter having diameter equal to or less than 2.5micron (PM2.5), Particulate Matter having diameter equal to or less than 10micron (PM10), Nitrogen oxides (NO2), Ammonia (NH3), Sulphur oxides (SO2) Carbon monoxides (CO), and Ozone (O3) for the present study was collected from the official website of Central pollution Control Board (CPCB) and analyzed by calculating mean, standard deviation, total variance, and correlation coefficient. Dendrogram analysis was also performed site wise. The concentration of all the parameters except ozone was found highest at Delhi among all the sites. Ozone values were found highest at Bangalore. A strong correlation was observed between PM10 and PM2.5 at all the sites during the study period. A great change in the values of all the studied parameters was observed before and during the lockdown periods. In metro cities values of PM2.5 was found higher than PM10 except at Bangalore where values of PM2.5 was found lower than PM10. Among all the studied metro cities, Delhi was found highly polluted before and during the lockdown period while Bangalore was found least polluted.
Action Strategy Analysis in Probabilistic Preference Movement-Based Three-Way Decision

The trisecting-acting-outcome model is a methodology of “thinking in threes,” which is the main idea of the three-way decision (3WD). It consists of three components: trisecting, acting, and outcome evaluation. A strategy selection method in a movement-based three-way decision (M-3WD) has been proposed in previous work. However, conflicting information widely existing in the information system has not yet been given sufficient consideration. The conflicting information brings massive noisy strategies when mining action strategies in three regions. This paper proposed a novel three-way decision model for action strategy set, which can analyze and classify strategies by introducing credibility and coverage. The model can remove noisy strategies and choose strategies more suitable for the need of decision makers. To evaluate and select an optimal action strategy, we analyze the probabilistic preference in a movement-based three-way decision. The approach determines the probability of movement by using the evidence theory (D-S) theory. The optimal action strategy is selected by analyzing the difference between the ideal movement and the actual movement, the lower the difference, the better the strategy. We give an example of medical decision-making to illustrate the effectiveness of the proposed method.
THE INFLUENCE OF WORK DEMANDS ON WORK STRESS THROUGH INTRINSIC MOTIVATION AS INTERVENING VARIABLES

This research aimed to determine on the influence of work demands on work stress with intrinsic motivation as an intervening variable in Demak Regency. The population used the staff of the Demak District Education and Training Personnel Board. The sample had taken from 48 respondents. The research data came from two sources, i.e primary data and secondary data. This type of research was quantitative. These sampling used the purposive random sampling technique. The collected data were analyzed using Structural Equation Modeling (SEM) with SmartPLS ver 3.29 software. The results of this study had the work demands that made a negative influence on intrinsic motivation while intrinsic motivation had the significant of positive influence on the work stress. On the other hand, work demands had the significant of positive influence on work stress while intrinsic motivation could not mediate the influence of work demands on work stress.
The morphosyntactic structure of number in Italian and Albanian. High and low plurals

I adopt the view that there are two number positions, including a lower Class position also hosting gender and a higher Num position. Italian -a plurals and Albanian neuters are associated with a cluster of properties often thought to characterize low plurals: application to a restricted set of lexical bases, meaning idiosyncrasies, association with (feminine) gender and agreement in the singular with the finite verb. Current analyses associate count Ns (both singular and plural) with a specialized node while treating mass Ns as default. I argue that mass Ns are associated with a specialized feature [aggr] (Albanian neuter) – and that a divisibility feature [part] for plural can attach to both count and mass bases (Italian -a ). The properties of low number depend on the properties of the Class position, including the fact that it is low enough to select gender and also to combine with a different Num, yielding mixed agreement.
Persona and Rebellion in Trickster Narratives. Case Study: Fleabag (BBC 2016-2019)

This paper brings together the concept of persona and the figure of the trickster to examine the dynamic between social norms and creative noncompliance, between the social mask and human authenticity, in moving image narratives. In particular, it looks at the female trickster challenging the female persona in recent television shows, primarily BBC’s Fleabag (2016-2019), using the previously outlined framework of trickster attributes (Bassil-Morozow 2012; Bassil-Morozow 2015). The concept of persona is examined using a combination of Erving Goffman’s presentation of self theory and Jung’s persona concept. It is argued that the female persona – the artificial vision of socially acceptable femininity – is a particularly rigid psycho-social structure, comprising repressive and unrealistic expectations for women’s looks, bodies, and conduct in public situations. Using the nameless protagonist of Fleabag as a case study, the paper shows how the female trickster can challenge these prescribed attributes and expectations while defying the individual-controlling techniques: shame, social embarrassment, social rejection and ostracism.
Detecção de Falhas de Rolamentos em Motores de Indução Utilizando Análise do Envelope de Corrente

This paper presents a study and an application of the technique for detecting defects in bearing of induction motors from the stator current signal. The theory used is based on the principle that bearing defects cause changes in the mechanical behavior of the machine. These changes reflect on the electrical behavior of the equipment and can be seen in the stator current signals. To identify the defect in the current spectrum, a linear prediction filter was used, associated with the Hilbert transform for envelope extraction, both implemented in Matlab software, allowing the treatment and analysis of collected signals. The results showed this technique as a possible alternative to the vibration analysis, with the advantage of not having to install accelerometers in the equipment casing and the possibility of application in difficult access machines, thus allowing the remote monitoring of the conditions of the bearings in motors of induction Resumo: Este artigo apresenta um estudo e uma aplicação da técnica de detecção de defeitos em rolamentos de motores de indução a partir do sinal de corrente do estator. A teoria utilizada baseia-se no princípio de que os defeitos nos rolamentos causam alterações no comportamento mecânico da máquina. Essas alterações refletem no comportamento elétrico do equipamento e podem ser percebidas nos sinais de corrente do estator. Para identificação do defeito no espectro de corrente, foi utilizado um filtro de predição linear, associada à Transformada de Hilbert para extração do envelope, ambas implementadas no software Matlab, permitindo o tratamento e análise dos sinais coletados. Os resultados mostraram essa técnica como uma possível alternativa à análise de vibração, tendo como vantagem ser desnecessário instalar acelerômetros na carcaça do equipamento e a possibilidade de aplicação em máquinas de difícil acesso, permitindo assim o monitoramento remoto das condições dos rolamentos em motores de indução.
Cellulose Nanofibrils from Sugarcane Bagasse as a Reinforcing Element in Polyvinyl Alcohol Composite Films for Food Packaging

ABSTRACT Due to a high aspect ratio and enhanced mechanical strength, cellulose nanofibrils can be used as reinforcing elements in biocomposite films. In this study, cellulose nanofibrils were isolated from sugarcane bagasse using TEMPO-mediated oxidation and used to reinforce polyvinyl alcohol (PVA) films. The carboxyl group content, functional groups, crystallinity, thermal properties, and morphology of the nanofibrils were investigated. The influence of TOCNF content on the transmittance, swelling, and tensile strength of PVA-TOCNF films were investigated by varying the TOCNF content of PVA films. The fibrils had a carboxyl content of 12.2 ± 0.6 mg/g CE due to the presence of carboxylic groups, an increased degree of crystallinity, and highly porous nanofibrils with lengths between 150 nm and 600 nm. Incorporation of the isolated fiber on PVA films increased the swelling capacity, tensile strength, and UV absorption but a decrease in the solubility of the composite. An increase in the TOCNF content increased the tensile strength of the films with the highest tensile strength of 6.6 ± 2.2 kPa being observed when the TOCNF content was 30%. The improvement in films properties implies that the films can be used as a packaging material due to enhanced water absorption and light-barrier properties.
The Mechanism of Permanganate and Osmium Tetroxide Fixation and the Distribution of Lignin in the Cell Wall of Pinus radiata

Schlüsselwörter Osmiumtetraoxidfixierung Permanganatfixierung Lignin Polyphenole Zellwandstruktur Fixierungsmechanismus Pinus radiata Summary Potassium permanganate and osmium teroxide are widely used as fixatives; an understanding of the mechanism of the fixation and its interpretation in terms of chemical groupings in the cell wall will enhance the significance of results obtained by the use of these fixatives. Experiments with model compounds showed that phenols, especially di and trihydroxy, rapidly reduced permanganate to manganese oxides (MnO2Mn2O3), and also fixed readily with OsO4. Osmium tetroxide was reduced by unconjugated aliphatic double bonds and alcohol groups whereas permanganate was not. Amino acids containing sulphur reacted with both fixatives but more strongly with OsO4. Milled wood lignin and chlorolignin fixed with permanganate more strongly than with osmium tetroxide. Acetylated lignins did not react with either fixative. Sections of acetylated wood after permanganate fixation showed reduced electron density especially in the secondary wall. This confirms that fixation of wood sections by permanganate is dependent on the presence of phenolic hydroxyl groups.
Hierarchical Flow Among Four Shipping Markets: An Integrated Approach for Capesize Shipping Markets

Although there are theoretical researches on the interactions between four shipping sub-markets, empirical studies examining four to cover are rare. Also, market interactions may differ in positive or negative environments. Accordingly, the purpose of this study is to examine the hierarchical structure among the 4 sub-maritime markets by providing a methodological proposition. This study integrates the Interpretive Structural Modelling (ISM) method with the asymmetric causality analysis and examines the hierarchical structure between the four markets in terms of positive and negative shocks through the Capesize markets. The dataset used in the study covers the period between 07.01. 2013 - 18.07. 2019 and consists of 342 weekly observations. The results show that the hierarchical flow of positive and negative shocks differs in the Capesize market. In terms of positive shocks, the demolition market stands out as the starting point of the shocks, while in terms of negative shocks, freight and new building markets come to the fore. Our study reveals hierarchical structures for maritime markets by testing their relationships empirically and contributes to the maritime literature where the freight market is theoretically considered a pioneer. A new methodical perspective is thought to be presented to the maritime economics literature. 85-98.
Lattice Parameters, Coefficients of Thermal Expansion, and Atomic Weights of Purest Silicon and Germanium

Lattice parameter determinations of 99.97 percent pure silicon (containing 0.03 percent carbon) were carried out using the asymmetric method, a 64‐mm precision camera in a thermostat at constant temperatures (10, 20, 30, 40, and 50°C). The powder mounts, about 0.12‐mm in diameter, were translated and rotated during the exposure. Only the (444)‐CuKα1 line was used for the determinations. The lattice parameter a=5.41991±0.00003kX (5.43086A) at 20°C, corrected for refraction, was obtained; the linear lattice expansion coefficient (between 10 and 50°C) was 4.15×10−6, the density at 20°C was 2.32831±0.00031 g/cm3 (determined by the suspension method), and the atomic weight was 28.083±0.013 (in agreement with the new chemical weight 28.09) showing that the silicon crystals used, under certain limitations, were sound although the possibility of interstitial atoms is not excluded.The lattice parameter of purest germanium (99.99 and 99.999 percent) was measured by the same method using the (422)‐CrKα1 and α2 lines.
ANTI-ANALGESIC FORMULATION AND CHARACTERIZATION

Analgesics refers to group of medication preferably utilized for relieving pain and inflammation. Diclofenac sodium is a non-steroidal anti-inflammatory drug that is widely involved in pain reduction. The present paper aims to develop a topical nanoemulsion in combination with gel i.e. nanoemulgel formulation with potent anti-analgesic activity, wherein eucalyptus oil was mixed with diclofenac sodium along with tween-20 and butyl glycerol to develop an emulsion. The emulsion was then converted to gel by using carbomer as gelling agent. Finally, the nanoemulsion gel was subjected to characterization studies which include pH, viscosity, excrudability, spreadability and in vitro analysis. Skin irritation test was also performed for the formulation. The pH was found to be 5.49 ± 0.1 5 and viscosity was 2.20 ± 0.06 which is appropriate for the formulation. Also spreadability, excrudability co-efficients were 14.05 and 17.43 gm/cm2 respectively. There was no irritation or edema on application of the formulation on the skin.
Tuning of refractive index of poly(vinyl alcohol): Effect of embedding Cu and Ag nanoparticles

In this article, we have reported the results of our measurements, related to the tuning of the refractive index of the poly(vinyl alcohol) (PVA) polymer on embedding Cu and Ag nanoparticles at different concentrations. The size distribution and dispersion behaviour of embedded nanoparticles within PVA have been studied through transmission electron microscopy. A systematic increase in refractive index of PVA on increasing the concentration of embedded nanoparticles has been observed. These results have been tried to be explained using Bhar and Pinto model based on the Lorimar's theory for polymer composites. The values of refractive index of these nanocomposites have also been calculated using the Lorentz-Lorenz effective medium theory and found to be in close agreement with the experimental data. Nanoparticles embedded induced modifications in the structure of PVA have been revealed through FTIR spectroscopy.
Management and Psychological Aspect: Teenagers' Awareness of Privacy in Social Media

Rising concern about the impact of internet usage among teenagers needs to be continuously addressed. Teenagers’ awareness of online privacy was the focus of this study on account of frequent sharing of private information in social media. This study is an exploratory research which tries to map and understand the psychological and cultural aspects of vulnerable online privacy practice by teenagers. The data were collected through a survey and interviews with high school students in Bandung, Indonesia. This study found that teenagers’ knowledge, awareness, and management of online privacy was relatively low. Psychologically, teenagers often need others to talk to. To maintain relationship, some cultural aspects, such as togetherness, friendliness, and openness to strangers were perceived as important. However, those aspects were the causes of poor online privacy practices. A call for increased media literacy and the development of cyber law that can anticipate internet-based crime especially against teenagers, were discussed.
Scanning tunneling microscopy observation of local damages induced on graphite surface by ion implantation

Highly oriented pyrolitic graphite was implanted with 50 keV argon ions. Low ion doses were deposited in order to observe, with the scanning tunneling microscope, surface damages due to single‐ion impacts. Ion impacts were revealed by the formation of hillocks on the graphite surface. The raising of the surface is attributed to internal stresses which develop in the volume surrounding the ion track as damages and lattice defects are created by the collision cascade process. Structural transformations are induced by ion implantation: On the hillock the graphite structure was lost and no atomic organization of the surface was evidenced. Surface reconstructions and superstructures were also imaged next to some hillocks.
Role of the Renin–Angiotensin–Aldosterone System in Dystrophin-Deficient Cardiomyopathy

Dystrophin-deficient cardiomyopathy (DDC) is currently the leading cause of death in patients with dystrophinopathies. Targeting myocardial fibrosis (MF) has become a major therapeutic goal in order to prevent the occurrence of DDC. We aimed to review and summarize the current evidence about the role of the renin–angiotensin–aldosterone system (RAAS) in the development and perpetuation of MF in DCC. We conducted a comprehensive search of peer-reviewed English literature on PubMed about this subject. We found increasing preclinical evidence from studies in animal models during the last 20 years pointing out a central role of RAAS in the development of MF in DDC. Local tissue RAAS acts directly mainly through its main fibrotic component angiotensin II (ANG2) and its transducer receptor (AT1R) and downstream TGF-b pathway. Additionally, it modulates the actions of most of the remaining pro-fibrotic factors involved in DDC. Despite limited clinical evidence, RAAS blockade constitutes the most studied, available and promising therapeutic strategy against MF and DDC. Conclusion: Based on the evidence reviewed, it would be recommendable to start RAAS blockade therapy through angiotensin converter enzyme inhibitors (ACEI) or AT1R blockers (ARBs) alone or in combination with mineralocorticoid receptor antagonists (MRa) at the youngest age after the diagnosis of dystrophinopathies, in order to delay the occurrence or slow the progression of MF, even before the detection of any cardiovascular alteration.
A self-Adaptive CNN with PSO for bearing fault diagnosis

Convolutional neural network (CNN) is now widely applied in bearing fault diagnosis, but the design of network structure or parameter tuning is time-consuming. To solve this problem, a particle swarm optimization (PSO) algorithm is used to optimize the network structure and a self-adaptive CNN is proposed in this paper. In the proposed method, a theoretical method is used to automatically determine the window size of short-time Fourier transform (STFT). To reduce the computation time, PSO is only applied to obtain the optimal key parameters in CNN with a small number of training samples and a small epoch number. To simplify the CNN structure, a fitness function considering the numbers of kernels and neuron nodes is used in PSO. According to the verification experiments for two well-known public datasets, the proposed method can get higher accuracy than other state-of-art methods. Furthermore, the parameters that are required to be input only involve the bearing parameters, so the proposed method can be applied in industry readily.
Comparação de Métodos de Deep Learning Pré-Treinados da Biblioteca OpenCV para Detecção de Pessoas em Ambientes Internos

Sistemas de monitoramento baseados em câmeras sao cada vez mais onipresentes em ambientes internos e externos. A existencia de um sistema de monitoramento nao garante, porem, que todas as informacoes coletadas sejam utilizadas e/ou analisadas. Quando uma interpretacao das imagens e necessaria, usualmente recorre-se a visao computacional. Neste contexto particular, metodos de Deep Learning tem recebido crescente atencao. De fato, apesar de seu desenvolvimento recente, alguns destes metodos estao disponiveis em bibliotecas e pacotes de software de forma pre-treinada, permitindo sua aplicacao com relativa facilidade. Neste trabalho diferentes metodos de Deep Learning disponiveis na biblioteca OpenCV foram comparados para a deteccao e contagem de pessoas em ambientes internos. Os metodos foram comparados quanto a sua precisao, revocacao e tempo de deteccao. Para a aplicacao considerada, os resultados obtidos sugerem que o metodo YOLO (v3) apresenta um bom compromisso entre medida F1 e tempo de reconhecimento. A deteccao precisa e rapida de pessoas pode vir a auxiliar futuramente, por exemplo, na estimacao da carga termica observada e consequente ajuste de sistemas de condicionamento de ar.