Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of antimicrobial metaphylaxis using no antimicrobial, tilmicosin, or tildipirosin and 2 different days on feed on the health and growth performance of lightweight beef steer calves originating from Mexico

ABSTRACT Objective No antimicrobial, tilmicosin, or tildipirosin were evaluated for the control of bovine respiratory disease (BRD), and additional days on feed (DOF) were evaluated for effects on growth performance and carcass characteristics of Mexican-origin steers. Materials and Methods A split-plot design was used with 2 DOF treatments nested within 3 metaphylaxis treatments. Steers originating from Mexico (n = 4,086; 213 ± 31.2 kg) were randomly assigned to on-arrival metaphylaxis treatments: 1) no antimicrobial (CON), 2) 13.2 mg/kg tilmicosin (MIC), or 3) 4 mg/kg tildipirosin (ZUP). Ten pen replications per metaphylaxis treatment were used (30 pens). Approximately 30 to 45 d before projected slaughter date, steers were randomly assigned within each of the 30 pens to 1 of 2 DOF (sort groups) treatments shipped for slaughter 28 d apart: 1) early slaughter averaging 50 d (range: 46 to 63 d) after the sort or 2) late slaughter averaging 78 d (range: 74 to 91 d) after the sort, resulting in 60 pens. Results and Discussion Metaphylaxis with MIC (5.56%) or ZUP (3.58%) reduced (P Conclusions and Applications Metaphylaxis improved animal health compared with no metaphylaxis, and tildipirosin improved morbidity but not mortality compared with tilmicosin. Live growth slowed but live and carcass weight increased with additional DOF. Carcass characteristics indicated increased marbling and fatness occurred with additional DOF.
Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA

Designing a localization system for an indoor environment faces more challenges because of multipath and interference problems. In this field, the most important techniques used for such environment, are RSS and ToA which need to be improved especially from more interference because of the huge multipath problems. In this paper, a case study of a selected building is chosen in order to apply the proposed technique of this research. Such proposal is based on the PT ‎ of the area in the case study into MZ. Each zone is allocated special values for the parameters used to estimate the target positions. WI package is used to simulate the case study area and apply such proposal based on RSS and ToA. The results confirm that the estimated locations are close to the real locations by the average error of (2.8) meter and (0.192) meter for ToA corresponding one zone and four zones ‎respectively. ‎ In contrast, the results of our experiment show that the accuracy is improved from an average error of (2.4) meter and (0.217) meter for RSS corresponding one zone and four zones ‎respectively‎. Such results confirm that dividing the case study area into more zones leads to more accuracy.
COVID-19 Mitigation Practices and COVID-19 Rates in Schools: Report on Data from Florida, New York and Massachusetts

This paper reports on the correlation of mitigation practices with staff and student COVID-19 case rates in Florida, New York, and Massachusetts during the 2020-2021 school year. We analyze data collected by the COVID-19 School Response Dashboard and focus on student density, ventilation upgrades, and masking. We find higher student COVID-19 rates in schools and districts with lower in-person density but no correlations in staff rates. Ventilation upgrades are correlated with lower rates in Florida but not in New York. We do not find any correlations with mask mandates. All rates are lower in the spring, after teacher vaccination is underway
Use of Environmental Variables to Predict SARS-CoV-2 Spread in the U.S.

Background: The COVID-19 pandemic has challenged even the most robust public health systems world-wide, leaving state and local health departments, hospitals, and physicians with little guidance on planning and resource allocation. Efforts at predicting the virus spread have largely failed to capture the nuances presented by national and local geographic, environmental, and sociological variables. Objective: Using county-level data from the United States, we sought to measure the extent to which these demographic, geographic, and environmental variables correlate with the spread of COVID-19. Methods: Using demographic data from the US Census Bureaus American Community Survey, weather station data from the National Oceanic and Atmospheric Administration (NOAA), and COVID-19 case data from the Center for Systems Science and Engineering at Johns Hopkins University and the New York State Department of Health, we employed Bayesian hierarchical modeling with zero-inflated Negative Binomial regression to calculate correlations between these variables, COVID-19 case count, and rate of viral spread. Key predictors were identified and measured during two periods of two weeks each: March and June of 2020. The resultant model was then employed to predict case counts and spread rate for early July 2020. Results: While demographic and environmental factors explain viral spread well, our findings challenge earlier conclusions about how these factors related to viral progress. Using these factors alone, we were able to predict spread to within 1% in all but 8 counties (99.9%), and within 0.1% in all but 51 counties (98.4%). The model was subsequently able to predict early July viral spread to within 0.5% in 98% of counties. Contrary to earlier findings, temperature had variable effect; as Spring temperatures warmed, cases decreased, but Summer heat increased cases, likely reflecting movement of populations from indoors to outdoors and back in. States varied little in their case rate relative to the model, and much of the variation could be linked to known superspreader events. Conclusion: While environmental and demographic variables can help predict COVID-19 spread rates, some relationships are variable in ways earlier research failed to identify.
Efficacy of Sofosbuvir plus Ledipasvir in Egyptian patients with COVID-19 compared to standard treatment: a randomized controlled trial

Background: COVID-19 is a pandemic disease caused by SARS-CoV-2, which is an RNA virus similar to HCV in the replication process. Sofosbuvir/ledipasvir is an approved drug by the FDA to treat HCV infection. This study investigates the efficacy of Sofosbuvir/ledipasvir as a treatment for patients with moderate COVID-19 infection. Methods: This is a single-blinded parallel-randomized controlled trial. The participants were randomized equally into the intervention group received Sofosbuvir/ledipasvir (S.L. group), and the control group received Oseltamivir, Hydroxychloroquine, and Azithromycin (OCH group). The primary outcomes were the cure rate over time and the incidence of serious adverse events. The secondary outcomes included the laboratory findings. Results: Two hundred and fifty patients were divided equally into each group. Both groups were similar regarding gender, but age was higher in the S.L. group (p=0.001). In the S.L. group, 89 (71.2%) patients were cured, while only 51 (40.8%) patients were cured in the OCH group. The cure rate was significantly higher in the S.L. group (RR=1.75, p<0.001). Kaplan-Meir plot showed a considerably higher cure over time in the S.L. group (Log-rank test, p=0.032). There were no deaths in the S.L. group, but there were six deaths (4.8%) in the OCH group (RR=0.08, p=0.013). Seven patients (5.6%) in the S.L. group and six patients (4.8%) in the OCH group were admitted to ICU (RR=1.17, P=0.776). There was no significant difference between treatment groups regarding Total Leukocyte Count, Neutrophils count, Lymph, Alanine transaminase, and Urea. Conclusion: Sofosbuvir/ledipasvir is suggestive of being effective in treating patients with moderate COVID-19 infection. Further studies are needed to compare Sofosbuvir/ledipasvir with the new treatment protocols.
Effects of different levels of fenofibrate on sensory properties and fatty acids profile of breast meat of broilers

Untersucht wurde die Wirkung verschiedener Fenofibratmengen auf die Eigenschaften von Broilerfleisch an einer vollständig randomisierten Stichprobe von 10 eintägigen männlichen Hühnern des kommerziellen Hybrids Ross308 in 3 Zyklen und 4 Wiederholungen in Dauer von 42 Tagen. In jedem Zyklus wurde der Grundnahrung eine von 3 verschiedenen Fenofibratmengen (0, 50 und 100 mg / kg) zugesetzt. Die Effektanalyse wurde unter Verwendung des statistischen SAS-Analyseprogramms durchgeführt, während der Vergleich der Mittelwerte durch den Duncan-Mehrbereichstest mit einer Fehlerwahrscheinlichkeit von 5% durchgeführt wurde. Die Ergebnisse zeigen, dass die Zugabe von Fenofibrat die Geschmackseigenschaften von Hühnerbrust verbessert, wobei die Zugabe von 100 mg / kg Fenofibrat im Vergleich zur Kontrollgruppe (P <0,05) den Geschmack von Hühnerbrust signifikant verbessert. Die Zugabe von Fenofibrat erhöht den Anteil an Olein- und Linolsäure und verringert den Anteil an gesättigten Fettsäuren wie Palmitinsäure und Stearinsäure in der Hühnerbrust.
Hydrolysis of (CH3)Hg+ in Different Ionic Media: Salt Effects and Complex Formation

The hydrolysis of monomethylmercury(II) was studied potentiometrically, in NaNO3, Na2SO4, and NaCl aqueous solution, in a wide range of ionic strengths (NaNO3, 0 ≤ I ≤ 3.25; Na2SO4, 0 ≤ I ≤ 1; NaCl, 0 ≤ I ≤ 3 mol dm-3) and at t = 25 °C. For the reaction (CH3)Hg+ = (CH3)Hg(OH)° + H+, we found log K1 = −4.528 (I = 0 mol dm-3). The species [(CH3)Hg]2(OH)+ was also found, with log β2 = −2.15. Monomethylmercury(II) forms quite strong complexes with Cl- (log K = 5.45, I = 0 mol dm-3) and SO42- (log K = 2.64, I = 0 mol dm-3). The dependence on ionic strength of formation constants was considered by using a Debye−Huckel type equation. Hydrolysis and complex formation constants (at different ionic strengths) obtained were used to calculate the interaction parameters of Pitzer equations.
M-Gam Model Based Evaluation of Gradac River Gorge for Geotourism Development

: The results obtained through evaluation of the Gradac River Gorge by applying the M-GAM model are presented in this study. The main goal of the research was to observe current state and explore possibilities for geotourism development in this area. By virtue of numerous indicators and sub-indicators, which are categorized either in group of Main or Additional values, this methodology gives us good insight in potentials of geoturism development. In addition, the methodology has been improved by involving tourists. This approach offers a more objective perspective of the needs of tourists and provides a starting point for further research. Recently, Serbia has been included in UNESCO’s Global Geopark Network due to the Djerdap Gorge being made the country’s first geopark. The Gradac Gorge is equally valuable; it has vast geoheritage, extraordinary landscapes, lush vegetation, and rich cultural and historical heritage. The geomorphological uniqueness of Gradac is the distinct meandering of the lower part of the river valley. Considering that it’s also a protected area (a Landscape of Outstanding Features), a valuable fishing area, and one of the most important tourist sites in Valjevo Region, it has high potential to become one of Serbia’s future Geoparks. The obtained results show the gorge having exceptional potential for geotourism development. On the other hand, it’s necessary to improve the guide service, the visitor center, and more additional values.
Particulate matter bio-monitoring through magnetic properties of an Indo-Burma hotspot region

ABSTRACT Present study aimed to investigate the bio-monitoring study of particulate matter (PM) pollutants of 12 roadside plant species, in Aizawl, Mizoram, India (an Indo-Burma hot spot region). While, the second part was ascribed to the bio-magnetic monitoring stidies. Pertaining to first part of study, highest dust deposition was noted for Ramrikawn (RKN-Med) site on Ficus bengalensis (1.2 mg cm−2) and lowest in Bauhinia variegate (0.8 mg cm−2). Further, increased concentration of heavy metals (Fe, Cu and Zn) was recorded at RKN-Med site. Roadside plant leaves of F. bengalensis recorded maximum accumulation of Fe (26.1 mg kg−1) and Cu (19.5 mg kg−1) while Cassia auriculata (12.1 mg kg−1) showed lowest accumulation of Fe. B. variegate (1.88 mg kg−1) recorded lowest accumulation of Cu. Zn was recorded maximum (48.2 mg kg−1) in Mangifera indica while B. variegate showed lowest accumulation of 11.3 mg kg−1 Cu at Ramrikawn site. In relation to second part of the study, M. indica, Ficus benghalensis, Psidium guajava and Artocarpus heterophyllus were found to be efficient in bio-magnetic monitoring because all the magnetic properties (magnetic susceptibility, anhysteretic remanent magnetisation and isothermal remanent magnetisation) were high and significantly correlated with ambient PM (R2 = 0.424 to R2 = 0.998) thus may act as proxy for ambient PM.
Response solutions for degenerate reversible harmonic oscillators

We consider the existence of response solutions for the quasi-periodic perturbation of degenerate reversible harmonic oscillators \begin{document}$ \ddot{x}-\lambda x^n = \epsilon f(\omega t, x, \dot x, \epsilon), \; \; x\in \mathbb{R}, $\end{document} where \begin{document}$ \lambda = \pm 1 $\end{document} , \begin{document}$ n>1 $\end{document} is an integer and \begin{document}$ f(-\omega t, x, -\dot x, \epsilon) = f(\omega t, x, \dot x, \epsilon) $\end{document} . With \begin{document}$ f $\end{document} satisfying certain non-degenerate conditions, we obtain the following results: (1) For \begin{document}$ \lambda = 1 $\end{document} and \begin{document}$ \epsilon $\end{document} sufficiently small, response solutions exist for each \begin{document}$ \omega $\end{document} satisfying a weak non-resonant condition; (2) For \begin{document}$ \lambda = -1 $\end{document} and \begin{document}$ \epsilon_* $\end{document} sufficiently small, there exists a Cantor set \begin{document}$ \mathcal{E}\in(0, \epsilon_*) $\end{document} with almost full Lebesgue measure such that response solutions exist for each \begin{document}$ \epsilon\in\mathcal{E} $\end{document} if \begin{document}$ \omega $\end{document} satisfies a Diophantine condition. Non-existence of response solutions is also discussed when \begin{document}$ f $\end{document} fails to satisfy the non-degenerate conditions.
Social Media for Learning English: The Views of Pre-service EFL Teachers

Social media can help learning English because the basic principles of social media are in line with language theory which emphasizes collaboration and social interaction in the construction of knowledge. The aims of this study were to find out whether pre-service EFL teachers get the effects of social media to learn English based on their perceptions and on which themes of English they get the most effect. The research method was a cross sectional survey study. A readymade closed-ended questionnaire was used to collect the data. The collected data were analysed by percentages and descriptive statistics. The result showed that 73.07% of the samples perceived high effect of using social media to learn English, 26.7% of them experienced moderate effect and 0.22% of the samples felt low effect. Furthermore, among the six themes, vocabulary development was affected mostly by students’ use of social media to learn English with the highest mean 4.22 and standard deviation 0.68. This study also gave some implications for ELT and further
Advantages and Disadvantages of using Food Grate Stainless Steel Rods for Internal Fixation of Femoral Transverse Fractures in Rabbits (Review Study)

The present study designed to focus on the advantages and disadvantages of using food grate stainless steel rods (FGSR) as internal fixation methods for induced transverse fractures in the mid shift of the femoral bones in rabbits.200 cases were collected from 2007 to 2020, all these cases were employed to induced transverse fractures in the mid shift of femoral bone, 100 of them used the rods for internal fixation, 80 of the cases used the rods for fixation the natural xenbony implantation from sheep or calves, and the others 20 cases used the rods for internal fixation of the synthetics nano bony implantation . The physical, chemical, clinical and radiographic parameters were used for evaluation, the physical and chemical analysis showed that the rods not change during sterilization, implantation or when exposed to different types of ray besides the chemical constant is about the same level measurement of the medical intramedullary pins (IMP), while the clinical observation revealed that the rods can used strongly and successfully for fracture fixation and support the animal to bear the weight, the limb used for walking gradually after 24-48 hours p. o. with some cases shown the FGSR pulled from the bone, other suffer from infection with pus formation with lateral deviation of the stifle joint or re-fracture. While the radiological finding revealed that the FGSR insert and fix the fractures fragment and the bony implantation, the pins seemed stable and fit the intramedullary canal and fracture fragments, while some cases shows that the pin not insert properly inside the femoral bone with case of multible and comminuted fractures, other case shown the FGSR pass and penetrate the stifle joint. The conclusion is, there are many advantages with minor or very little disadvantages for using the FGSR as internal fixation of the induced transverse fractures in the mid shift of the femoral bones and for natural and synthetics bony implantation in rabbits.
Molten salt synthesis of TiB2 nanopowder by reduction of TiO2 with MgB2

This research work presents the preparation of TiB2 nanopowders by molten-salt synthesis (MSS) technique from TiO2 and MgB2 as starting active materials and MgCl2 as a molten salt. The pure TiB2 nanopowders were finally prepared using 2M HCl aqueous solution to leach the synthesized samples. The effects of the firing temperature, firing time and reactants to salt ratio on the TiB2 nanopowders formation were examined. The results demonstrated that the TiB2 formation was completed even with reactants to salt mass ratio of 1:2 at 1000 ? C for 4 h. The TiB2 nanopowders synthesized with 1:2, 1:5 and 1:10 reactants to salt mass ratios have different particle sizes. Thus, the average particle sizes estimated from BET surface areas were 59, 55 and 46 nm for the samples synthesized with 1:2, 1:5 and 1:10 reactants to salts mass ratios, respectively. These results illustrated that the high concentration of MgCl2 plays a key role in the particles? size reduction. The above results assured that this research study presents a new low-temperature synthesis route for nano-sized metal diboride powders.
Accurate Scene Text Detection Via Scale-Aware Data Augmentation and Shape Similarity Constraint

Scene text detection has attracted increasing concerns with the rapid development of deep neural networks in recent years. However, existing scene text detectors may overfit on the public datasets due to the limited training data, or generate inaccurate localization for arbitrary-shape scene texts. This paper presents an arbitrary-shape scene text detection method that can achieve better generalization ability and more accurate localization. We first propose a Scale-Aware Data Augmentation (SADA) technique to increase the diversity of training samples. SADA considers the scale variations and local visual variations of scene texts, which can effectively relieve the dilemma of limited training data. At the same time, SADA can enrich the training minibatch, which contributes to accelerating the training process. Furthermore, a Shape Similarity Constraint (SSC) technique is exploited to model the global shape structure of arbitrary-shape scene texts and backgrounds from the perspective of the loss function. SSC encourages the segmentation of text or non-text in the candidate boxes to be similar to the corresponding ground truth, which is helpful to localize more accurate boundaries for arbitrary-shape scene texts. Extensive experiments have demonstrated the effectiveness of the proposed techniques, and state-of-the-art performances are achieved over public arbitrary-shape scene text benchmarks (e.g., CTW1500, Total-Text and ArT).
BER Performance Analysis of Energy Harvesting Underlay Cooperative Cognitive Radio Network With Randomly Located Primary Users and Secondary Relays

In this work, we investigate the error probability of an energy harvesting co-operative cognitive radio network (CRN) in the presence of Poisson field of primary users (PU). We consider the scenario where, after harvesting energy from primary transmitters (PTs), a secondary transmitter (ST) would transmit its symbol towards secondary destination (SD) through a suitable secondary relay from a group of randomly scattered idle nodes within a circular region. Several relay selection criteria have been considered for relay node selection. Performance of a secondary transceiver has been analysed in terms of probability of error. Relationships among the bit error ratio (BER) performance of an ST and several other network entities such as density of PUs, transmit power of PTs and required transmit power of ST have also been investigated through detailed analysis. Numerical results are provided to assess the precision of derived analytical expressions.
Acidic and Neutral Polar NSO Compounds in Heavily Biodegraded Oils Characterized by Negative-Ion ESI FT-ICR MS

Five heavily biodegraded tar sand bitumens from an oil column were separated into maltene and asphaltene fractions for analysis by negative-ion electrospray (ESI) Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). These bitumens have an identical source, which have experienced a natural sequence of biodegradation. The polar NSO compounds in maltene fractions contain O1, S1O1, O2, S1O2, S2O2, O3, S1O3, O4, S1O4, N1, N1O1, N1O2, N1S1, and S1 classes, while the polar NSO compounds in asphaltene fractions contain O1, S1O1, S2O1, O2, S1O2, S2O2, O3, S1O3, S2O3, O4, S1O4, S2O4, O5, S1O5, S2O5, O6, N1, N1O1, N1O2, N1O3, N1S1, and N2 classes. Polar NSO compounds with stronger molecular polarity and larger molecular weight are readily fractionated into asphaltene fractions. The O2 class is prevalent in polar NSO compounds of both maltene and asphaltene fractions of all bitumen samples. The N1 class in maltene fractions is dominated by compounds with DBE values of 9, 10, 12 and 13, while the N.
Homeownership Rate and Other House Price Determinants
Impacts on New House Prices in Colombia

Homeownership remains a preferred form of tenancy in different parts of the world. The attractions of security, stability, investment potential and a sense of pride outweigh the fear of price instability. For this reason, the Colombian government has encouraged in recent years, various demand policies that have sought to promote the increase in the number of homeowners. However, these ideas could have a severe impact on prices in the real estate market. Therefore, this study seeks to examine the effect of homeownership rate on new house prices in an emerging country with low real estate ownership, credit restrictions and average per capita income. The study uses panel data model to examine the influence of housing tenancy and other variables on the variation of housing prices in Colombia. Data were obtained from various sources including the Central Bank of Colombia, Financial Superintendence of Colombia, and National Administrative Department of Statistics of Colombia. The results show that homeownership rates have a positive effect on the price of new homes, which supports the hypothesis of the research. The population growth of the cities is the factor that is most relevant when explaining the price variations.