Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Multiprocessing Technology of Motion Video Image Based on Sensor Technology in Track and Field Sports

To improve the accuracy of track and field sports feature recognition, this paper combines sensor technology to improve the motion video image multiprocessing technology and gives the basic principles of image registration. Moreover, this paper chooses a model based on projection transformation. When using a high-speed linear CCD, only the image information on the finish line is collected. Unlike the previous high-speed area CCD cameras that can capture runway information, linear CCDs are used to collect only the image information on the finish line, and the data is collected and processed through sensor technology. The research shows that the application effect of the motion video image multiprocessing technology based on sensor technology in track and field sports proposed in this paper has good practical effects.
Empirical Evaluation for Intelligent Predictive Models in Prediction of Potential Cancer Problematic Cases In Nigeria

The rapid rate as well as the volume in amount of data churned out on daily basis has necessitated the need for data mining process. Advanced by the field of data science with machine learning approaches as new paradigm and platform, it has become imperative to provide beneficial support in constructing models that can effectively assist domain experts/practitioners – to make comprehensive decisions regarding potential cases. The study uses deep learning prognosis to effectively respond to problematic cases of cancer in Nigeria. We use the fuzzy rule-based memetic model to predict potential problematic cases of cancer – predicting results from data samples collected from the Epidemiology laboratory at Federal Medical Center Asaba, Nigeria. Dataset is split into training (85%) and testing (15%) to aid model validation. Results indicate that age, obesity, environmental conditions and family relations (to the first and second degree) are critical factors to be watched for benign and malignant cancer types. Constructed model result shows high predictive capability strength compared to other models presented on similar studies.
Comparison of chromium mobility at naturally enriched and anthropogenically polluted sites: A column leaching experiment

This study aims to compare the chromium (Cr) mobility in two soils with different Cr sources. The first one is an anthropogenically contaminated soil from an area of a piston ring production factory, and the second one is a serpentine soil with a naturally increased Cr level from the National Nature Reserve Mohelno serpentine steppe in the Czech Republic. To assess the influence of naturally occurring environmental factors on the Cr mobility, two sets of column leaching experiments were constructed, namely an acidified water treatment (AW) and a simulated root exudate treatment (SRE). It was found that the anthropogenically contaminated soil leached out many times more Cr for both (the AW and SRE) treatments in comparison with the serpentine soil. Generally, all the samples showed enhanced leaching from the bottom layer, respectively the horizon, for both treatments. Only the anthropogenic soil showed some differences in the bottom layer, which was more susceptible to the AW treatment than to the SRE one. These findings show the high dependence of the leachability of Cr on the Cr content origin. It has been proven that naturally enriched sites where elevated levels of Cr originate from the bedrock are more resistant to Cr leaching than anthropogenically contaminated soils. Feasible causes of these differences are discussed in this study.
The Effect of Click Clunk Strategy on Students’ Reading Comprehension Ability

<p class="abstrak" align="center"><strong><em>Abstrak</em></strong><strong> </strong></p><p class="abstrak"><em>Pengaruh Penggunaan Click Clunk Strategi dalam Kemampuan Pemahaman Membaca Siswa SMAN 1 Mapattunggul </em><strong><em>. </em></strong><em>Penelitian ini bertujuan untuk mengetahui apakah ada pengaruh yang signifikan penggunaan strategi click clunk terhadap kemampuan pemahaman membaca siswa.Jenis penelitian yang digunakan adalah penelitian eksperimen. Peneliti menggunkan penelitian pre- eksperimen dengan menggunakan model satu kelompok pre-test dan post-test. Populasi dari penelitian ini adalah siswa kelas 11 SMAN 1 Mapattunggul . Terdapat kelompok eksperimen yaitu kelas 11 IPS (20 siswa) yang di perlakukan sebagai kelas experiment yang di ajar menggunakan click clunk strategi. Peneliti menggunakan purposive sampling untuk menentukan sample penelitian ini. Sedangkan untuk menguji hipothesis peneliti menggunakan uji t dan mengkonsultasikan hasilnya dengan tabel derajat (α) = 0,05. <strong> </strong>Dari hasil penelitian dan perhitungan tes awal dan akhir dari kelas experiment terdapat hasil uji t-hitung ( 15,39) lebih besar dari t-tabel (2,024) dengan derajat kebebasan adalah (df) = 20 dengan </em><em>∝</em><em> = 0,05. Jadi, hipothesis alternative (Ha) diterima bahwa ada pengaruh yang significant dengan menggunakan click clunk strategi. </em></p><p class="abstrak"><strong><em>Kata Kunci:</em></strong><em> Click Clunk Strategi, Kemampuan Membaca Siswa<strong></strong></em></p><p class="abstrak" align="center"><strong>Abstract</strong></p><p class="abstrak"><em>The Effect of Click Clunk Strategy On Students’ Reading Comprehension Ability at the 11 Grade of SMAN 1 Mapattunggul . </em> This research is aimed at determining whether there was a significant effect of using click clunk strategy on students’ reading comprehension ability. The researcher used one-group pre-test and post-test pre-experimental research. The population of this research was the 11the grade students of SMAN 1 Mapatstutul. The experimental group was treated by using click clunk strategy while the control group was treated by using traditional strategy. Researcher used purposive sampling to determine the sample of this research. To analyze the data the researcher used the t test. From the results and calculation the pretest and post-test score of the experimental class, the t-obtained (15.39) was higher than the t-table (2.024) with degrees of freedom (df) = 20 (0.05). The result of the study indicated that, the alternative hypothesis (Ha) was accepted, there was a significant effect using the click clunk strategy. Therefore, click and clunk strategy was able to help improve students’ reading comprehension</p><p class="abstrak"><strong><em>Keywords</em></strong><em>: Click Clunk Strategy, Students’ Reading Ability. </em><strong> </strong></p>
Research into Complicated Electronic Equipment Design System Based on Knowledge Engineering

The overall project demonstration and design process of complicated electronic equipment include the integration,inheriting and innovation of knowledge.Aiming at the characteristics of complicated electronic equipment system design,such as various involved knowledge domains,long development period of new product and absence of systematicness,this paper presents the design technique of electronic equipment system design based on knowledge engineering,knowledge acquirement and fusion method,knowledge classification and indication method of complicated electronic equipment design in many domains,founds the expert system of complicated electronic equipment design and electronic equipment model library based on knowledge engineering.This system follows the current design rules and methods of complicated electronic equipment,performs the system integration research based on knowledge engineering according to the required technical tactical indexes and experience of similar domestic or foreign equipments.
Consumption of Sugar-Sweetened Beverages and Its Potential Health Implications in Indonesia

The broad availability of sugar-sweetened beverages (SSBs) in the Indonesian market, increasing trend of their consumption, combined with escalating incidence and prevalence of diabetes and related noncommunicable diseases (NCDs), and the ongoing debate on policies, have called for a comprehensive review as described in this study. Data was compiled from various sources but mainly gathered from the reported or published documents because of no direct access to the necessary data set. The lack of studies that assessed the direct relationship between SSB consumption and health outcomes in the Indonesian context also became a strong reason for the preparation of this review to highlight important points for further research, academic reviews, and debates on empiric policies to control sugar consumption at the population level. Sociocultural factors were an apparent and crucial determinant of the sweetness preferences of mainstream Indonesians. They were not capitalized in the available documents and should be embraced in future health promotional measures. Given the high contribution of carbohydrates and sugar to total energy intake in the Indonesian diet, it is pertinent to control the increasing trend of SSBs consumption through interventions on both the supply and demand sides.
Cytomegalovirus Viremia Predicts Postdischarge Mortality in Kenyan HIV-Exposed Uninfected Children

Abstract Background Cytomegalovirus (CMV) viremia is associated with mortality in severely ill immunocompetent adults and hospitalized children with HIV (CWH). We measured CMV viremia in HIV-exposed and -unexposed Kenyan children aged 1–59 months discharged from hospital and determined its relationship with postdischarge mortality. Methods CMV DNA levels were measured in plasma from 1024 children (97 of which were HIV exposed uninfected [HEU], and 15 CWH). Poisson and Cox proportional hazards regression models were used to identify correlates of CMV viremia ≥ 1000 IU/mL and estimate associations with 6-month mortality, respectively. Results CMV viremia was detected in 31% of children, with levels ≥ 1000 IU/mL in 5.8%. HIV infection, age < 2 years, breastfeeding, and midupper arm circumference < 12.5 cm were associated with CMV viremia ≥ 1000 IU/mL. Among HEU children, CMV ≥ 1000 IU/mL (hazard ratio [HR] = 32.0; 95% confidence interval [CI], 2.9–354.0; P = .005) and each 1-log increase in CMV viral load (HR = 5.04; 95% CI, 1.7–14.6; P = .003) were associated with increased risk of mortality. CMV viremia was not significantly associated with mortality in HIV-unexposed children. Conclusions CMV levels at hospital postdischarge predict increased risk of 6-month mortality in Kenyan HEU children. CMV suppression may be a novel target to reduce mortality in HEU children. Clinical Trial Registration NCT02414399.
Profiling of the most reliable mutations from sequenced SARS-CoV-2 genomes scattered in Uzbekistan

Due to rapid mutations in the coronavirus genome over time and re-emergence of multiple novel variants of concerns (VOC), there is a continuous need for a periodic genome sequencing of SARS-CoV-2 genotypes of particular region. This is for on-time development of diagnostics, monitoring and therapeutic tools against virus in the global pandemics condition. Toward this goal, we have generated 18 high-quality whole-genome sequence data from 32 SARS-CoV-2 genotypes of PCR-positive COVID-19 patients, sampled from the Tashkent region of Uzbekistan. The nucleotide polymorphisms in the sequenced sample genomes were determined, including nonsynonymous (missense) and synonymous mutations in coding regions of coronavirus genome. Phylogenetic analysis grouped fourteen whole genome sample sequences (1, 2, 4, 5, 8, 10-15, 17, 32) into the G clade (or GR sub-clade) and four whole genome sample sequences (3, 6, 25, 27) into the S clade. A total of 128 mutations were identified, consisting of 45 shared and 83 unique mutations. Collectively, nucleotide changes represented one unique frameshift mutation, four upstream region mutations, six downstream region mutations, 50 synonymous mutations, and 67 missense mutations. The sequence data, presented herein, is the first coronavirus genomic sequence data from the Republic of Uzbekistan, which should contribute to enrich the global coronavirus sequence database, helping in future comparative studies. More importantly, the sequenced genomic data of coronavirus genotypes of this study should be useful for comparisons, diagnostics, monitoring, and therapeutics of COVID-19 disease in local and regional levels.
Aerodynamic Modeling from Flight Data Based on WNN Optimized by Particle Swarm

To accurately describe the dynamic characteristics of a flight vehicle by means of an aerodynamic model,a wavelet neural network(WNN) aerodynamic modeling method from flight data based on an improved particle swarm optimization(IPSO) algorithm is proposed.To address the deficiencies of the standard PSO(SPSO) algorithm,the closest particle information and mutation operation are introduced in this method to improve the global searching ability of WNN parameters and overcome premature convergence.Then,in light of the aerodynamic modeling flow from flight data for flight vehicles,a WNN model trained by the IPSO algorithm is established.Experimental results show that the proposed aerodynamic modeling method is characterized by high forecast precision,fast convergence speed and effective suppression of premature convergence.It is valid and feasible for aerodynamic modeling from flight data.
Microscopic colitis: an update

Microscopic colitis (MC) is an inflammatory pathology of the bowel diagnosed predominantly in older patients. MC is a cause of chronic watery, non-bloody diarrhea, that affects the older patients, mostly women, and leads to impaired health-related quality of life. The diagnosis and treatment can be often difficult. There are three main histological subtypes: collagenous colitis, lymphocytic colitis and incomplete microscopic colitis. Because of the variable nature of this pathology, the therapeutic options should be individualized for every patient. MC has a variable course, varying from occasional symptoms to recurrent or progressive symptoms. A literature search was performed on the main databases. Data on microscopic colitis was collected and presented. This comprehensive review aims to raise awareness of this pathology while providing the latest data regarding current recommendations. General practitioners and gastroenterologists should always take microscopic colitis into consideration when diagnosing a patient with chronic diarrhea.
Campylobacteriosis, Shigellosis and Salmonellosis in Hospitalized Children with Acute Inflammatory Diarrhea in Georgia

This is the first study on campylobacteriosis carried out in Georgia. It targeted 382 hospitalized children with acute inflammatory diarrhea. The study was conducted between July 2020 to July 2021 based on the main infection clinic of the capital city. Culture-based bacteriological methods were followed by phenotypic and Real-time PCR tests for bacterial confirmation and identification. The data revealed recent epidemiologic prevalences of the three main causative bacteria in the target population. Shigella sonnei with 19.1% (95% CI: 15.2–23.4%) was the most frequently detected pathogen followed by Campylobacter spp. with 12.3% (95% CI: 9.2–16.0%) and Salmonella spp. with 4.9% (95% CI: 3.0–7.6%). However, in 63.6% of the samples, the causative agent remained unknown. Species differentiation of Campylobacter spp. revealed 81% Campylobacter jejuni and 19% Campylobacter coli. An epidemiological pyramid with estimated magnification factors may give more insights into the burden of campylobacteriosis among the studied population, resulting in a putative annual incidence of 6 per 1000 children in Tbilisi. Children with campylobacteriosis were younger (median age 40 months (interquartile range (IQR) 22−95)) than with shigellosis (median age 92 months (interquartile range (IQR) 52−140)). However, no statistically significant difference was found with the age range of patients with campylobacteriosis and salmonellosis as well as with salmonellosis and shigellosis. In conclusion, Campylobacter spp. may be suspected to be the second most frequent bacterial causative agent of acute inflammatory diarrhea in hospitalized children and the primary cause in the 0–3 age group in Georgia. In addition, Campylobacter CROMagar showed better selectivity in comparison to mCCDA selective agar of stool samples in our study.
Setting the Demons Loose: Computational Irreducibility Does Not Guarantee Unpredictability or Emergence

Abstract A phenomenon resulting from a computationally irreducible (or computationally incompressible) process is supposedly unpredictable except via simulation. This notion of unpredictability has been deployed to formulate recent accounts of computational emergence. Via a technical analysis, I show that computational irreducibility can establish the impossibility of prediction only with respect to maximum standards of precision. By articulating the graded nature of prediction, I show that unpredictability to maximum standards is not equivalent to being unpredictable in general. I conclude that computational irreducibility fails to fulfill its assigned philosophical roles in theories of computational emergence.
Design of an LDMOS Transistor Based on the 1 µm CMOS Process for High/Low Power Applications

In this paper we investigate the performance of an integrated n-type laterally-diffused metal oxide semiconductor (nLDMOS) transistor, using 2D TCAD simulations. This work is based on the 1 µm CMOS technology node at CDTAs clean room. The nLDMOS process uses the necessary steps extracted from logic-integrated circuits fabrication flow, which yields to local oxidation of silicon (LOCOS), single reduced surface field (RESURF)-based nLDMOS, without needing any additional masks or steps. The resulting device has a 22 V breakdown voltage (BV) and 272 mm2 mΩ specific on-state resistance (RON). The analysis determined that the proposed device could be implemented in RF power amplifiers for wireless communications or automotive circuits as primary domains, provided experimental calibrations.
Forum: A Coup At the Capitol? Conceptualizing Coups and Other Antidemocratic Actions

The term “coup” has been used to describe a diverse range of events. Although recent decades have seen the academic study of coups focus on an increasingly narrow type of military intervention in politics, the general public, governments, and international organizations frequently apply the coup label to a broader set of antidemocratic actions. This was dramatically illustrated after the overrunning of the US Capitol Building on January 6, 2021, when discussions of the event led to debates about whether or not it constituted a coup. More than a mere matter of semantics, describing an event as a coup can have analytical, normative, and practical implications. The scholars in this forum explore the challenges inherent in distinguishing coups from other types of antidemocratic actions, highlight gaps between academic and popular conceptions of the term, and identify ways in which scholars can productively contribute to public debates around contentious events.
Analysis on the Subdivision of Skilled Mowing Movements on Slopes

Owing to the aging of the rural population in the hilly and mountainous areas of Japan, mowing on narrow ridges and steep slopes is done manually by the elderly—individuals over 65 years of age. Studies have shown that many accidents that occurred during mowing were caused by workers’ unstable posture, especially when mowing on steep surfaces where there is a high risk of falling. It is necessary to analyze the body movements of mowing workers to elucidate the elements related to the risk of falls. Therefore, in this study, based on a high-precision motion-capture device and a series of experiments with elderly, skilled mowing workers, we focused on the movements of mowing. We sought to identify effective and safe mowing patterns and the factors that lead to the risk of falls. In various mowing styles, compared to the stride (S) and downward (D) mowing patterns, the basic (B) and moving (M) patterns were the most efficient; however, the risk of falls was also the highest among these patterns. While mowing, workers need to pay more attention to their arm strength and take appropriate measures to reduce the risk of falls according to their age and physique. The results can be used as data for the development of fall-detection systems and offer useful insights for the training of new mowing workers.
Shape Memory Alloy‐Based Soft Amphibious Robot Capable of Seal‐Inspired Locomotion

Robots are often required to have multimodal and amphibious capabilities for dynamic environments. Although shape memory alloy (SMA) has been exploited in creating various types of deformation in soft actuators, no SMA‐based multimodal soft amphibious robot has been reported. This study describes a soft amphibious robot made of SMA‐based soft actuators that mimics the terrestrial and subaqueous motion of crawling seals. The soft amphibious robot named SEALicone exhibits two gaits, crawling terrestrial locomotion and oscillatory underwater propulsion. The robot consists of two types of SMA‐based soft actuators: the backbone actuator with wave‐like deformation and the support actuator with fusiform deformation. These actuators in the robot collectively deform allowing the robot to generate distinct locomotion styles that mimic those of the crawling seals. Straight advance and turning motions of the robot in both environments are evaluated, and the transitional motion between the two environments is also demonstrated. This study lays the important groundwork in designing multimodal soft robots that can operate across different environments.
Niveles de consanguinidad y sus efectos sobre la expresión fenotípica en ganado Holstein

El objetivo del presente estudio fue calcular los niveles de consanguinidad en la población Holstein de México y evaluar su efecto sobre la producción de leche, grasa, proteína y puntos finales de conformación. La información de pedigrí constó de 326,238 animales, a los cuales se les calculó la consanguinidad a través del algoritmo recursivo modificado (INBUPGF90). Se obtuvieron tendencias de consanguinidad de animales nacidos de 1990 a 2018 a través de un análisis de regresión, y se evaluó el efecto de la consanguinidad sobre caracteres productivos con un análisis de varianzas, para lo cual se incluyó información fenotípica de 68,779 animales. Se formaron seis grupos de acuerdo al nivel de consanguinidad (1= <1%, 2= ≥1 y <2%, 3= ≥2 y <3%, 4= ≥3 y <4%, 5= ≥4 y <5%, y 6= ≥5%). Los resultados mostraron que, por cada punto porcentual de aumento en la consanguinidad, se disminuye la producción de leche, grasa y proteína en 88, 3.16 y 2.57 kg (P<0.0001). A niveles bajos de consanguinidad (<5%), no se detectó ningún efecto sobre la producción de grasa y proteína. Sin embargo, cuando la consanguinidad aumentó a más de 5%, la pérdida en producción fue de 12 kg de grasa y de 9 kg en proteína. También se observó que los animales con menor promedio de conformación, presentan bajos niveles de consanguinidad (<1%) y los niveles más elevados, no mostraron diferencias significativas entre ellos; lo que ratifica que la conformación funcional es menos sensible a los efectos de la consanguinidad que otras características de interés económico. Se recomienda promover programas de selección basados en contribuciones óptimas para maximizar las ganancias genéticas y controlar los niveles de consanguinidad.