Miracle-dz/UniFAR-FTUs huggingface dataset:
Classificação de personalidade no Twitter: Uma análise sobre a viabilidade de transferência multicultural de aprendizagem

Extrair informações sobre personalidade é objeto de estudo de pesquisas com diversas aplicações, como sistemas de recomendação, processos de recrutamento, entre outras. Esta área de pesquisa possui recursos e metodologias bem estabelecidas e eficientes, porém com alta concentração de aplicações em dados provenientes da língua inglesa. Este artigo contribui na classificação de personalidade para línguas que dispõem de um número menor de recursos, a partir da utilização de técnicas voltadas para a língua inglesa, assim, permitindo que os avanços de tecnologias de classificação de personalidade criados para o público falante do inglês reflitam no avanço de outras línguas e culturas. Para isto, são utilizadas técnicas de Mineração de Dados, Processamento de Linguagem Natural e Machine Learning com Word Embedding, explorando a correlação entre traços de personalidade e propriedades léxicas textuais, com dados oriundos de Redes Sociais Online. Os resultados obtidos são satisfatórios quando comparados com pesquisas correlatas aplicadas apenas na língua inglesa, assim, demonstrando a viabilidade de utilização mais ampla de técnicas antes voltadas a uma única cultura, indicando a possibilidade de superar a barreira multicultural presente na literatura.
Type 2 Diabetes Mellitus: The Role of Oxidative stress and Antioxidants

Objective: Diabetes mellitus is a group of metabolic disease characterized by hyperglycemia. Oxidative stress contributes to the pathogenesis of diabetic microvascular and macrovascular complications. This study was undertaken to find the oxidative stress and antioxidant conditions in diabetic and healthy individuals.Method: A case-control study was carried out at Kantipur Dental College Teaching Hospital & Research center, Kathmandu, Nepal from January 2018 to January 2019 with 200 subjects. Amongst them 100 were diagnosed as diabetic individuals and rest 100 were healthy controls with age and gender matched. Blood samples were drawn after overnight fasting for the analysis of glucose, thiobarbituric acid reactive substances (TBARS), lipid hydroperoxides, nitric oxide, total antioxidant activity, vitamin A, vitamin C, vitamin E, reduced glutathione, glutathione peroxidase, superoxidase and catalase.Result: The plasma glucose, lipid peroxidation parameters: TBARS, lipid hydroperoxide and nitric oxide were increased in diabetic patients. Antioxidants markers included: total antioxidant activity, reduced glutathione, vitamins A, C & E levels were significantly decreased in diabetic patients compared to healthy control counterpart.Conclusion: Increased evidence of free radicals/ oxidative stress with respect to decreased levels of antioxidants has implicated a strong role in progression of diabetes and its associated complications. Appropriate medications with antioxidants supplementation, physical exercise, and restricted diet can improve diabetes through the reduction of oxidative stress.International Journal of Human and Health Sciences Vol. 05 No. 04 October’21 Page: 454-458
A case series of neonatal human parecho-virus encephalitis with a seasonality and endemicity

Human parecho viruses are small, non-enveloped, single stranded RNA viruses within parechovirus genus of the large picornaviridae family. In new-born it can cause gastroenteritis, sepsis and encephalitis. We report case series of parecho-virus encephalitis admitted to a tertiary care centre, Perinthalmanna. Parechoviral encephalitis is an endemic disease seasonally present (May-July) in certain regions of Northern part of Kerala. HPeV are viruses that cause CNS infection in the neonatal period, resulting in white matter lesions that can be visualised with MRI. In a retrospective study, 4 newborn babies of neonatal HPeV encephalitis diagnosed on the basis of clinical and radiological findings with a seasonality were assessed. HPeV encephalitis needs to be in differential diagnosis when neonates and young infants present with seizure and sepsis. HPeV infection must be considered in infants with specific pattern of white matter change but no convincing history of a perinatal hypoxic-ischaemic insult.
Effects of different dietary energy and protein levels on the performance and carcass characteristics of native hilly chicken during growing phase in confinement

Two hundred and sixteen 10 weeks of age hilly chickens were used to determine the effects of dietary energy and protein level on growth performance, carcass characteristics and meat quality. The chicks were randomly allotted in to 3×3 factorial in a completely randomize design. Three levels of energy (2600, 2700 and 2800 ME kcal/kg) and three levels of dietary proteins (16, 17 and 18% CP) were offered ad libitum to the chicks from 10-16 weeks of age. There were no significant interaction effect between dietary protein and energy levels in the diets. At 10-16 weeks of age hilly chickens fed with the medium protein diet (17% CP) showed shortened feed intake (p<0.001) but FCR found better in 16% CP diet. Dietary protein levels higher than 16% CP did not show any significant effect on growth performance. However hilly chicken fed with lower protein diet converted protein to body weight and body weight gain more efficiently than those fed higher protein diets. Dietary energy contents of 2600, 2700 and 2800 ME kcal/kg did not affect the growth performance of hilly chicken except ME, CP intake and protein conversion ratio. ME and CP intake was increased with increasing dietary ME and CP levels (p<0.000). Protein utilization was better (p<0.05) in higher (2800 ME kcal/kg) and medium (2700 ME kcal/kg) ME level diet. L*, a* and b* of breast meat was not affected by dietary ME and CP (p>0.05). Dietary energy and protein level did not significantly (p>0.05) affect the drip loss, cooking loss and pH of breast meat between the treatments. Based on the data of growth performance, carcass characteristics and meat quality, the optimal dietary ME requirement of hilly chicken from 10-16 weeks of age is 2800 ME kcal/kg and the CP requirement is 16%. Asian Australas. J. Biosci. Biotechnol. 2021, 6 (1), 1-9
Energy harvesting with flexible piezocomposite fabricated from a biodegradable polymer

Technological advancement is generating a heap of electronic waste and has put onus on the production of wearable electronic systems to be environmentally sustainable without compromising much with their functionality. Many such systems employ flexible piezo sensors for force sensing and/or energy harvesting. In this work, we demonstrate the feasibility of fabricating a flexible piezoelectric energy harvester and sensor by reinforcing a biodegradable polymer polycaprolactone (PCL) with powders of ferroelectric‐based piezoceramic systems PbTiO3–Bi(Zr0.5Ni0.5)O3 (PT‐BNZ) and 1. The output volume power density of PCL‐PTBNZ and PCL‐BST was found to be 98.5 and 17 μW/cm3, respectively, for solenoid plunger pressure impact. The corresponding values in the tapping mode are 2556 and 1505 μW/cm3, respectively. The power output derived is significant and can be used to power micro and nano size electronic devices. Such composites can provide a better environment friendly and sustainable alternative to the current piezo energy harvesters.
KINEMATIC DIFFERENCES BETWEEN PROFICIENT AND NON-PROFICIENT FREE THROW SHOOTERS – VIDEO ANALYSIS

Despite its importance and significant contribution to the final game outcome, the free throw shooting motion is greatly understudied. The purpose of this study was to examine kinematic differences between proficient and non-proficient free throw shooters and to determine which variables have the greatest impact on successful free throw shooting performance. Thirteen healthy recreationally active males volunteered to participate in this study. Each participant shot three sets of ten consecutive free throws from the regulation distance from the basket. Each set was performed under 3 minutes with 1-2-minute rest between each set. A high-definition camera recording at 30 fps captured the free throw shooting motion from a sagittal point of view. Video analysis software was used to analyze the following kinematic variables: knee angle, elbow angle, hip flexion, ankle flexion, release angle, shoulder angle, hand release height, and elbow height. The findings of this study suggest that lower elbow positioning influenced by greater knee, ankle, and hip flexion during the preparatory phase of the shooting motion may lead to improvements in free throw shooting accuracy. Moreover, greater ball release height and release angle, as previously suggested, could decrease the margin of error and enhance free throw shooting performance. By using these kinematic variables to create the discriminant function projection model, it is plausible that proficient free throw shooters can be accurately classified in 94% of cases.
Conversational Artificial Intelligence/Natural Language Processing Algorithms for Modeling and Research Summarization of Friction Stir Welded Aluminum Joints

Natural Language Processing (NLP) is the sub-division of Artificial Intelligence that narrows down the gap between technology and human cognition by extracting the relevant information from the pile of data. In the present work, scientific information regarding the Friction Stir Welding of Aluminum alloys was collected from the abstract of 20 scholarly research papers. For extracting the relevant information from these research abstracts four Natural Language Processing based algorithms i.e. Latent Semantic Analysis (LSA), Luhn Algorithm, LexRank Algorithm, and KL-Algorithm were used. In order to evaluate the accuracy score of these algorithms, Recall-Oriented Understudy for Gisting Evaluation (ROUGE) was used. The results showed that the Luhn Algorithm resulted in the highest f1-Score of 0.413 in comparison to other algorithms.
Shallow-Water Species Diversity of Common Intertidal Zoantharians (Cnidaria: Hexacorallia: Zoantharia) along the Northeastern Coast of Trinidad, Southern Caribbean

Zoantharians are colonial cnidarians commonly found in shallow tropical Caribbean coral reefs, and are known to be globally distributed. Common species in genera Zoanthus and Palythoa occur at Toco, Trinidad, where they are more abundant than their Scleractinia counterparts relative to benthic coverage. In this study, distribution, morphological and molecular data were collected to determine species and symbiont identification to provide more insight on zoantharians. The Line Intercept Point (LIT) transect method recorded coverage at three sites: Salybia (SB), Pequelle (PB), and Grande L’Anse (GA) Bays along the northeastern coast. Variations in morphology, such as tentacle count, oral disk color and diameter were collected from colonies in situ. All specimens were zooxanthellate, and molecular and phylogenetic analyses were done by sequencing the cytochrome oxidase subunit I (COI) gene, and the internal transcribed spacer (ITS) region for species and symbiont identification, respectively. Results showed mean Zoantharia percentage cover was 32.4% ± 5.1 (X ± SE) at SB, 51.3% ± 6.5 (PB), and 72.2% ± 6.1 at GA. Zooxanthellate zoantharians were identified as Palythoa caribaeorum, Palythoa grandiflora, Zoanthus pulchellus, and Zoanthus sociatus. Symbiodiniaceae genera were identified as Cladocopium and Symbiodinium in Palythoa and Zoanthus spp. , respectively. Although this is the first molecular examination of zoantharians, and their symbionts in Trinidad, more research is needed to identify and document species distribution and symbiont biodiversity to understand their ecology in these dynamic ecosystems.
Vertical Land Motion as a Driver of Coastline Changes on a Deltaic System in the Colombian Caribbean

To face and properly mitigate coastal changes at a local level, it is necessary to recognize and characterize the specific processes affecting a coastline. Some of these processes are local (e.g., sediment starvation), while others are regional (e.g., relative sea-level change) or global (e.g., eustatic sea-level rise). Long tide gauge records help establish sea-level trends for a region that accounts for global (eustatic, steric) and regional (isostatic) sea-level changes. Local sea-level changes are also the product of vertical land motion (VLM), varying depending on tectonic, sedimentological, and anthropogenic factors. We investigate the role of coastal land subsidence in the present-day dynamics of an abandoned delta in the Colombian Caribbean. Satellite images and synthetic aperture radar acquisitions are used to assess decadal-scale coastline changes and subsidence rates for the period 2007–2021. We found that subsidence rates are highly variable alongshore. Local subsidence rates of up to −1.0 cm/yr correspond with an area of erosion rates of up to −15 m/yr, but coastal erosion also occurs in sectors where subsidence was not detected. The results highlight that local coastline changes are influenced by multiple, interacting drivers, including sand supply, coastline orientation and engineering structures, and that subsidence alone does not explain the high rates of coastal erosion along the study area. By the end of the century, ongoing coastal erosion rates of up to −25 m/yr, annual rates of subsidence of about −1 cm/yr, and current trends of global sea-level rise are expected to increase flooding levels and jeopardize the existence of the deltaic barrier island.
Time-Sensitive Networking Technologies for Industrial Automation in Wireless Communication Systems

The fourth industrial revolution is accelerating industrial automation. In industrial networks, manufacturing processes require hard real-time communication where the latency is less than 1ms. Time-sensitive networking (TSN) technology over Ethernet already supports deterministic delivery for real-time communication. However, TSN technologies over wireless networks are currently in their initial development stage. Therefore, this study presents an overview of TSN research trends in wireless communications. This paper focuses on 5G networks and IEEE 802.11. We summarize standardization trends for TSN in 5G networks and introduce the TSN technologies for 802.11-based WLAN. Then, we introduce the integration scenario of 5GS with WLAN. This study provides insights into wireless communication technologies for wireless TSN.
Effect of IL6 -174 G/C Gene Polymorphism on Response to Interleukin-6 Blocking Therapy in Systemic Juvenile Idiopathic Arthritis.

Objective: The main objective of this study is to analyze and evaluate the association of IL6-174 G/C gene polymorphisms with response to interleukin-6 blockade in Egyptian patients with systemic juvenile idiopathic arthritis, and to assess the effect of other factors on treatment response as well as long-term efficacy of treatment with Tocilizumab. Methods: Sixty systemic JIA patients (37 males and 23 females with median age at onset 5.2 years) who received IL-6 blockade (Tocilizumab) were recruited. The overall response to treatment with IL-6 blockade was assessed according to: 1) Clinical response, 2) switch (or no switch) to another biological DMARD therapy following IL-6 blockade, 3) achievement of clinically inactive disease within 6 months of IL-6 blockade, 4) improvement in disease activity measured using the modified JADAS-10, and 5) achievement of a glucocorticoid-free state. In addition, basic demographic, laboratory data, characteristics of the disease course and IL6 polymorphisms were assessed.Results: Three IL6 -174 genotypes, including, GG, GC, and CC were found with higher frequencies of GC genotype. These genotypes had non-significant association with the response of sJIA patients to IL-6 blockade in this cohort study. Moreover, a longer time frame from disease onset to diagnosis was associated with poorer long-term treatment response. Conclusion. No significant impact of IL6 -174 G/C gene polymorphisms on treatment response to IL6 blockade therapy in sJIA Egyptian patients, providing evidence of a “window of opportunity” for improved long-term treatment response with shorter time from the disease onset to diagnosis.
Misconception of Waveform Similarity in the Identification of Repeating Earthquakes

Identification of repeating earthquakes (repeaters) usually depends on waveform similarity expressed as the corresponding cross‐correlation coefficient (CC) above a prescribed threshold, typically ranging in 0.70–0.98. However, the robustness and effectiveness of such a strategy have rarely been fully examined. In this study, we examine whether CC is a valid proxy for repeater identification through both synthetic and real earthquake experiments. We reveal that CC is controlled by not only the interevent distance but also many other factors, including station azimuth, epicentral distance, and velocity structure. Consequently, CC lacks the resolution in identifying true repeaters. For reliable repeater identification, we should consider the interevent overlap. Specifically, we define an event pair to be true repeaters if their interevent separation is smaller than the source dimension of the larger event. Our results imply that a systematic recheck of previously identified repeaters and associated interpretations/hypotheses may be important and necessary.
The Impact of Antenatal Care in Maternal and Perinatal Health

Every moment, somewhere in our planet especially in low in come country, women of reproductive age group die from problems linked to gestations. The major reason for this enormous magnitude of complication is failure to use antenatal care services particularly in developing countries. The World Health Organization recommends a minimum of four ANC visits. However, global estimates indicate that only about half of all pregnant women receive this recommended amount of care. Antenatal care is one of the evidence-based interventions to decrease the probability of bad health outcomes for mothers and their newborns. Effectiveness of antenatal care, however, relies on the quality of care provided during each antenatal care visits. Antenatal care is an umbrella term used to describe the medical procedures and care that carried out starting from preconception. lt is a care a woman receives throughout her pregnancy and is important in helping to ensure a healthy pregnancy state and safe childbirth. Therefore, antenatal care is to assure that every wanted pregnancy results in the delivery of a healthy baby without impairing the mother’s health. The aim of this chapter is to examine the impact of antenatal care in decreasing maternal and newborn death from preconception through postnatal period.
Bias‐corrections on aridity index simulations of climate models by observational constraints

Aridity Index (AI) indicates the balance between water supply and water demand on the atmosphere–land interface. Despite continuous improvements, coupled climate models still have significant systematic errors in simulating AI in terms of temporal and spatial variabilities. One of the approaches to bias‐correct simulations is extracting the linear relationship between historical observations and model outputs by utilizing the empirical orthogonal function (EOF). In this study, the methodology of ensemble EOF‐based bias‐correction by observational constraints is developed based on previous bias‐correction approach, with the improvement on seeking the optimal combinations of the leading modes with sensitivity test and replacing the certain correction with the ensemble means of optimal members. In verification, the ensemble mean of Coupled Model Intercomparison Project phase 5 (CMIP5‐EM) is bias‐corrected towards the CPC/GLDAS observations, and the extracted leading modes present high correlations with internal climate variability. By cross‐validation and posteriori independent validation of hindcasts over the historical period (1948–2005), the ensemble EOF‐based bias‐correction could better present spatial patterns compared to the CMIP5‐EM after systematic bias‐correction, as indicated by the anomaly correlation and the root mean square error. The verifications also indicate that the temporal variability in aridity over different dryland regions is much closer to that in the observations and that the dryland subtype changes are improved significantly by bias‐corrections. Besides, another observational dataset of UDel/CRU is applied to assess the uncertainty on different datasets and the improvement on skill scores is robust. The above results verify that the ensemble EOF‐based bias‐corrections provide better reference for assessing and projecting global aridity changes by climate models.
Is proximal gastrectomy indicated for locally advanced cancer in the upper third of the stomach?

To treat upper third gastric cancer, proximal gastrectomy (PG), a function‐preserving procedure, is recommended for early lesions when at least half the distal stomach can be preserved, while total gastrectomy (TG) is standard for locally advanced lesions. Oncological feasibility, when applying PG for such lesions, remains unknown.
Perancangan Sistem Data Hasil Belajar Murid SMA Islam Said Na’um Berbasis Java

SMAI Said Na'um is a senior secondary education institution in the Jakarta area. The system at this school has not used a computerized system optimally so it has several problems. The problems in Said Na'um SMAI include recording values using paper files which take a very long time. Lack of storage media, the data search process takes a little time. The information received is currently less fast and less accurate. Often there are data errors or inaccurate data in making reports. Data storage that is still in the form of physical files can cause damage to data. Based on this information, the research carried out aims to create an information system for learning assessment for students of Said Na'um Senior High School, Central Jakarta. This research was conducted by creating a data system on student learning outcomes at Said Na'um Islamic Senior High School using a Java-based programming language.
Predicting the Population Growth and Structure of China Based on Grey Fractional-Order Models

Scientific prediction and accurate grasp of the future trend of population change are conducive to the formulation of different population policies at different stages, so as to alleviate the adverse effects of the aging population on society and provide scientific theoretical reference for controlling the population size and making policy. Considering that the population system is affected by many complex factors and the structural relationship among these factors is complex, it can be regarded as a typical dynamic grey system. In this paper, the fractional-order GM (1, 1) model and the fractional-order Verhulst model are established, respectively, based on the statistical data of China's population indices from 2015 to 2019 to forecast the population size and the change trend of population structure of China from 2015 to 2050 in the short-term and medium- to long-term. The forecast results show that China’s population will grow in an inverse S shape from 2015 to 2050, when the total population will reach 1.43 billion. Moreover, during this period, the birth rate and natural growth rate of population will decrease year by year, and the proportion of aging population and the dependency ratio of population will increase year by year. Besides, the problem of aging population is going to become increasingly serious. The application of grey system method to population prediction can mine the complex information contained in the population number series. Meanwhile, the fractional-order accumulation can weaken the randomness of the original data series and reduce the influence of external disturbance factors, so it is a simple and effective population prediction method.