Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Allicin and Lycopene on Performance, Carcass, Hematological Profile and Antioxidant Status of Growing Rabbits Through Summer Season

: Forty-five growing V-line rabbits of both sexes, 5 weeks old, were used for the study through summer season from July to September. The rabbits were randomly allocated to five treatments groups of 9 rabbits each. Each treatment was further sub-divided into 3 replicate of 3 rabbits. Group one fed control diet free of feed additives and served as a control. Group 2 and 3 supplemented with 100 and 200 mg allicin / kg diet. Group 4 and 5 supplemented with 100 and 200 mg lycopene / kg diet, respectively. Results showed that the groups fed allicin 200 mg/kg and lycopene100 mg/kg in their diets recorded the best (P ≤ 0.05) significant average daily weight gain as compared with the control group. The other experimental groups were numerically best in comparison with the control group. Significant improvement in feed conversion ratio was recorded in all experimental groups in comparison with control. Carcass traits and hematological parameters were insignificantly affected by different treatments. All feed additives used in the present study significantly increased antibody titters against SRBC s compared with control group at 7, 14 and 21 days after vaccination. Serum total lipids was significantly (P ≤ 0.05) decreased due to addition of different feed additives, except with 200 mg allicin in the diet serum total lipids was equal to the control group. Blood serum total cholesterol and triglycerides were significantly (P ≤ 0.05) reduced by feeding diets containing different levels of allicin or lycopene in comparison with the control group. The results showed that low density lipoprotein was numerically decreased, however, high density lipoprotein and HDL/LDL ratio were numerically increased due to inclusion different feed additives in the diets. Exposing growing rabbits to high temperature conditions during summer season resulted in elevated (P ≤ 0. 05) serum MDA, while serum total antioxidant capacity was decreased as presented in the control group, however, supplementation of allicin and lycopene appeared to antagonize the effect of high temperature. In conclusion, rabbit dietary supplementation with allicin or lycopene could have beneficial effects on performance under summer environment without any side effects.
The Baryonic Tully–Fisher Relation

Abstract We validate the baryonic Tully–Fisher (TF) relation by exploring the Tully–Fisher (TF) and BTF properties of optically and Hi-selected disk galaxies. The data includes galaxies from Sakai et al. (2000) calibrator sample, McGaugh et al. (2000: M2000) I-band sample, and 18 newly acquired Hi-selected field dwarf galaxies observed with the ANU 2.3-m telescope and the ATNF Parkes telescope (Gurovich 2005a). As in M2000, we re-cast the TF and BTF relations as relationships between baryon mass and W 20. First we report some numerical errors in M2000. Then, we calculate weighted bi-variate linear fits to the data, and finally we compare the fits of the intrinsically fainter dwarfs with the brighter galaxies of Sakai et al. (2000). With regards to the local calibrator disk galaxies of Sakai et al. (2000), our results suggest that the BTF relation is indeed tighter than the TF relation and that the slopes of the BTF relations are statistically flatter than the equivalent TF relations. Further, for the fainter galaxies which include the I-band M2000 and Hi-selected galaxies of Gurovich's sample, we calculate a break from a simple power law model because of what appears to be real cosmic scatter. Not withstanding this point, the BTF models are marginally better models than the equivalent TF ones with slightly smaller Χred 2 values.
HAEMATOLOGICAL PROFILE AND BLOOD TRANSFUSION PATTERN OF PATIENTS WITH SICKLE CELL ANAEMIA VARY WITH SPLEEN SIZE

Background: The spleen serves critical haematological and immunological functions in the body. However it is also the first organ to be affected by the effects of sickling in sickle cell anaemia. While the splenic size has been evaluated in sickle cell anaemia, the spleen sizes of these patients has not been associated with any specific haematological pattern. Objectives: To determine the haematological parameters of patients with sickle cell anaemia (SCA) in relation to spleen size. Methods: The full blood count (FBC), the irreversibly sickled cells and blood transfusion use amongst SCA patients in steady state was evaluated. Abdominal ultrasound was also performed for all patients and HbAA control for splenic size categorization. Results: Forty patients with SCA and 22 controls with HbAA were studied with mean age of 29.28 ± 8.10 years 28.23 ± 8.14 years respectively. The mean splenic longitudinal lengths in patients and controls were 6.3 ± 4.3cm and 8.9 ± 1.5 cm respectively (p-value < .05). The mean haematocrit and haemoglobin value were significantly lower in SCA cases than in controls (p < 0.001). Though the red cell indices were similar but the white blood cell and platelet count were significantly higher in patients than in controls. Among SCA cases, the spleen size showed significant positive correlation with haematocrit (r = 0.371, p = 0.019) and the age at 1st transfusion (r = 0.447, p = 0.013) but significant negative correlation with MCV, MCH, MCHC and platelet count. Above 80% of patients with severe, moderate and mild autosplenectomy had been transfused compared to 25% of patients with splenomegaly. Conclusion: Similarities in red cell indices between patients and controls suggests an identical factor influencing the red cell indices which could be genetic such as thalassemia or environmental such as iron deficiency. The negative correlation of the spleen size with red cell indices, white cell count and platelet count and positive correlation with haematocrit suggest that spleen size can be used to determine clinical course of the disease. Earlier age at first transfusion, significantly higher frequency of blood transfusion and MCHC in patients with severe autosplenectomy suggest a more severe clinical course when compared with patients with splenomegaly, normal spleen, mild and moderate autosplenomegaly.
Changes in Eating Habits and Lifestyles in a Peruvian Population during Social Isolation for the COVID-19 Pandemic

Background Peru has one of the highest infection and death rates in the world for the COVID-19 pandemic. The government implemented house confinement measures with probable consequences on lifestyle, particularly affecting eating habits, physical activity, sleep quality, and mental health. Objectives The aim of this study was to assess the lifestyles, physical activity, and sleep characteristics, as well as changes in eating habits in a Peruvian population during the first wave of the COVID-19 pandemic. Methods A cross-sectional descriptive study was performed. We analyzed Peruvian adults based on an online self-administered questionnaire divided into sociodemographic, anthropometrics, COVID-19 diagnosis reported, lifestyle habits, and frequency of consumption of foods. Results During confinement for COVID-19, 1176 participants were studied. Of these, most reported weight gain (1 to 3 kg) and 35.7% were overweight. The lifestyles habits showed that 54.8% reported doing physical activity and 37.2% sleep less. The Peruvian sample presented a main meal pattern of breakfast (95.7%), lunch (97.5%), and dinner (89.1%). Likewise, eating habits before and during COVID-19 pandemic showed that vegetables (OR:1.56, CI95% 1.21–200), fruit (OR: 1.42, CI95% 1.10–1.81), legumes (OR:1.67, CI95% 1.23–2.28), and eggs (OR: 2.00, CI95% 1.52–2.65) presented significant consumption increase during social isolation, while bakery products (OR: 0.74, CI95% 0.56–0.97), meat, snack, refreshment, and fast food decreased in consumption. Other foods showed no significant differences. Conclusion This study showed an important frequency of overweight and sleep changes. There was a slight increase in physical activity despite the social isolation measures and an increase in healthy eating habits; nevertheless, the majority reported gaining weight.
How May Deep Learning Testing Inform Model Generalizability? The Case of Image Classification

Artificial intelligence (AI) has become increasingly popular and is used in various fields, particularly image recognition. Several studies use images to train self-driving car models, security monitoring systems, recognize signals, etc. However, the approach taken to design and evaluate AI models can significantly affect the resulting performance of the models during operation. Hence, applying a rigorous approach to the design and evaluation of AI models may become crucial: this is the ultimate goal of the research field of Software Engineering for Artificial Intelligence . While current literature on image recognition proposed AI pipelines achieving good performance, it is still unclear how they would work in a real environment, where additional social and environmental factors come into play. In this paper, we propose a preliminary investigation into the role of input testing as a early indicator of the real-world performance of deep learning models in the context of image recognition. By taking the well-known Fashion-MNIST dataset into account, we first design a Convolutional Neural Network able to recognize images, in an effort of replicating the work done in previous studies and establishing a baseline. Then, we propose the use of input testing to simulate real-case conditions. Our preliminary results show that the devised CNN can lead to precision , recall , F-Measure , and accuracy close to 90%, hence confirming the results of previous experimentation in the field. Nonetheless, when input testing is applied, the performance of the model drastically drops (reaching ≈ 30%), possibly highlighting the need for revisiting image recognition models.
A Retrospective Epidemiological Study of Rhinosporidiosis in a Rural Tertiary Care Centre in Pondicherry.

INTRODUCTION Rhinosporidiosis is an age old endemic scourge which has affected various parts of the world, most notably India and Sri Lanka. Although a large body of literature exists regarding this problem, postoperative recurrence rates continue to vary, and the effect of public health education in the eradication of this disease has not been taken into account. AIM The aim of this study was to find out the site, presentation and postoperative recurrence rate in patients with rhinosporidiosis. MATERIALS AND METHODS This was a retrospective study involving operated cases of rhinosporidiosis in the Department of Ear, Nose and Throat of a rural tertiary care referral centre over a period of 3 years. The behavioural pattern of the disease, its epidemiology, rate of recurrence and outcomes of surgical management were analysed. RESULTS A statistically significant correlation could be found between male gender and rural residential status and incidence of rhinosporidiosis. Bathing in rivers and ponds were found to be strongly associated with rhinosporidiosis (p=0.005). Almost all patients were found to be of low socioeconomic status. Nasal obstruction and epistaxis were the most common presenting complaints. CONCLUSION Rhinosporidiosis is strongly associated with male gender, young and middle aged adults, agricultural occupations, rural residential status, a history of bathing in ponds and rivers and a low socioeconomic status. Post-surgical recurrence of rhinosporidial masses can be avoided with careful and complete clearance of the mass and cauterization of the base. Appropriate and consistent public health education helps to reduce the incidence of rhinosporidiosis in endemic communities.
Monetary Policy Rules, Adverse Selection and Long-Run Financial Risk

This paper constructs a macro-finance model with two types of borrowers: entrepreneurs who engage in productive activities and gamblers who play in lotteries. It links a central bank's interest rate policy to expected cash ows of both types of borrowers. Via this link we study how the interactions between various shocks and different monetary policy rules affect the quality of the borrower pool faced by financial intermediaries. We find that if the economy is hit by an expansionary monetary policy shock, in the long run the proportion of entrepreneurs in the borrower pool will be persistently lower than the steady state level. This worsening of the borrower pool is more serious if the central bank does not react to output uctuations. By contrast, not reacting to output uctuations in case of a negative productivity shock avoids a persistent worsening of the borrower pool in the long run.
Observations of Large-Scale Beach Cusps In the Florida Panhandle and Alabama

The Gulf of Mexico shoreline along the Florida Panhandle and Alabama coasts is frequently affected by the presence of large-scale beach cusps and other rhythmic alongshore variations. These shoreface and submerged features exhibit a broad range of expression, extending in alongshore length from tens of feet to several thousand feet, with cross-shore amplitudes that can exceed one hundred feet. The variations in beach width caused by the larger cuspate features can create hot-spot erosion areas, posing a threat to upland infrastructure. Using an extensive set of beach nourishment project monitoring data, these features are characterized across various beach segments in the study area. The features observed are further described in terms of their planform shape, or beach state, generally following the beach classification scheme of Wright and Short (1984). Different datasets also reveal the changes in beach state, based upon incident wave conditions. Severe storm impacts tend to reset the shoreline to a two-dimensional longshore-uniform state, after which calmer weather introduces three-dimensional features along the beaches. Within this dynamic environment, annual beach profile monitoring surveys are conducted along fixed survey transects. The geometry of the cuspate features relative to the fixed survey transects each year introduces the potential to calculate changes in shoreline position and beach volume that may not be representative of the overall changes occurring along the shoreline segment they represent. As an example in this setting, comparison of average beach segment shoreline changes described by discrete survey monuments at 1,000-ft spacing versus shoreline changes measured at much denser spacing via digitized aerial photography reveals a potential for error of 15% or more in some cases. To address these issues and better describe representative shoreline and volume changes occurring between monitoring surveys, analyses have been performed to augment the collected beach profile data. Aerial photography is used to improve representative shoreline change calculations and determine the extent of influence of the cuspate features. Characteristic profiles can be generated to determine average volume changes, and the overall envelope of surveyed beach profiles can be used to determine the extreme conditions. In general, the present system of monitoring, including the collection of digital orthophotography, is opined to be adequate to document overall project performance. The significant increase in survey data needed to completely describe the full range of cusps sizes in each annual survey is deemed unwarranted due to the increased expense. The presence and effect of beach cusps and crescentic bars on the existing datasets, however, should be acknowledged and the potential for error due to these features noted in any analyses.
Unemployment rate and U . S . shadow economy : an analysis based on spline models

The paper aims to investigate the relationship between unemployment rate and shadow economy with USA data using spline models. The shadow economy is estimated as percentage of official GDP, using MIMIC model. The size of the shadow economy as % of official GDP is estimated using a MIMIC model with four causal variables (taxes on corporate income, contributions for government social insurance, unemployment rate and selfemployment) and two indicators (index of real GDP and civilian labour force participation rate). The size of the shadow economy (SE) is estimated to be decreasing over the last two decades. In order to evaluate the nature of the relationship between the two variables, we have estimated cubic B-spline, natural cubic Bspline and smoothing models.Using an F-test, we compare the smoothing spline to a global linear fit and the results indicate a sufficiently linear relationship. Finally, we have compared the local polynomial models with the spline model; the smoothing spline model closely matches the linearity between the size of the shadow economy and the unemployment rate. We extend the classical Okun law, in order to estimate the relationship between growth rate of official economy, unemployment rate and the size of the shadow economy. The results reveal a significant direct relationship between shadow economy and the unemployment rate and an indirect relation between shadow economy and growth of official sector. Keywords—shadow economy, unemployment rate, MIMIC models, spline models, Okun law, U.SA.
Évolutions récentes de la relation entre la comptabilité et la fiscalité en Roumanie

Trying to credibly describe the Romanian relationship between accounting and taxation, we applied the method proposed by Lamb et al. (1998) and developed by Nobes et Schwenke (2006). Six cases are available : from disconection (case I) to identity (case II), through the various cases of influence on accounting aver taxation or vice-versa. Despite the short period considered (20 years), aur results confirm a de jure disconnection between Romanian financial accounting and tax accounting (as suggested by Lazăr and Petre, 2005). But, one should not to much rely on appearances: in many cases, the accounting practice in Romania (especially SMEs) in marked by a close relationship with taxation.
Cigarette Smoking , CFH , APOE , ELOVL 4 , and Risk of Neovascular Age-Related Macular Degeneration

Results: For CFH, only the CC genotype carried a statistically significant elevation of disease risk (odds ratio, 49.37; 95% confidence interval, 6.20-393.22; P .001). No significant association was observed between neovascular AMD and APOE or ELOVL4. No significant interactions were found between smoking and having the CFH or APOE genotype nor were significant interactions found between the CFH, ELOVL4, and APOE genotypes.
Evaluated kinetic and photochemical data for atmospheric chemistry: Volume I - gas phase reaxtions of Ox, HOx, NOx and SOx species

This article, the first in the series, presents kinetic and photochemical data evaluated by the IUPAC Subcommit- tee on Gas Kinetic Data Evaluation for Atmospheric Chem- istry. It covers the gas phase and photochemical reactions of Ox, HOx, NOx and SOx species, which were last published in 1997, and were updated on the IUPAC website in late 2001. The article consists of a summary sheet, containing the recommended kinetic parameters for the evaluated reactions, and five appendices containing the data sheets, which provide information upon which the recommendations are made.
Preventing Falls in Older People: The Role of Footwear and Lower-Extremity Interventions

Methods: A systematic literature search was performed in the PubMed database, the Physiotherapy Evidence Database, the Cumulative Index to Nursing and Allied Health Literature, and the Cochrane Central Register of Controlled Trials. Articles were included based on the following criteria: 1) randomized controlled trial, 2) FA exercise program, and 3) use of fall risk–related motor outcomes (strength, balance, flexibility, and functional ability) or use of falls as an outcome. Weighted effect sizes (d) were calculated across studies for estimating the overall effect of FA exercises on the most frequently reported motor outcome parameters.
Cite as: Cubí, M., & Llorente, M. (2021). Hand preference for a coordinated bimanual task in captive hatinh langurs (Trachypithecus hatinhensis) and gray-shanked douc

Right-handedness in humans reflects the functional brain specialisation of the left hemisphere. To better understand the origins of this population-level tendency, it is crucial to understand manual lateralisation in other non-human primate species. The aim of this article is to present a first approach to the hand preference of two primates from Vietnam, the endangered hatinh langur ( Trachypithecus hatinhensis ) and the critically endangered grey-shanked douc langur ( Pygathrix cinerea ). Eighteen individuals from each species (N=36) were evaluated by means of the bimanual coordinated tube task and their responses were recorded in terms of manual events and bouts. Our results showed that subjects presented strong individual-level preferences but not lateralisation at the group-level. No sex differences were detected within species. The index finger was used in all of the extractions during this bimanual task, alone (86%) or in combination with other fingers (14%). In addition, hatinh langurs exhibited a greater strength of hand preferences than grey-shanked douc langurs, pointing to a possible higher manual specialisation during the leaf-eating process. These findings help to broaden our scarce knowledge of manual laterality in Asian colobine monkeys and
Merged Cloud and Precipitation Dataset from the HIAPER GV for the Cloud System Evolution in the Trades (CSET) Campaign

The Cloud System Evolution in the Trades (CSET) aircraft campaign was conducted in the summer of 2015 in the northeast Pacific to observe the transition from stratocumulus to cumulus cloud regime. Fourteen transects were made between Sacramento, California, and Kona, Hawaii, using the NCAR’s High-Performance Instrumented Airborne Platform for Environmental Research (HIAPER) Gulfstream V (GV) aircraft. The HIAPER W-band Doppler cloud radar (HCR) and the high-spectral-resolution lidar (HSRL), in their first deployment together on board the GV, provided crucial cloud and precipitation observations. The HCR recorded the raw in-phase (I) and quadrature (Q) components of the digitized signal, from which the Doppler spectra and its first three moments were calculated. HCR/HSRL data were merged to develop a hydrometeor mask on a uniform georeferenced grid of 2-Hz temporal and 20-m vertical resolutions. The hydrometeors are classified as cloud or precipitation using a simple fuzzy logic technique based on the HCR mean Doppler velocity, HSRL backscatter, and the ratio of HCR reflectivity to HSRL backscatter. This is primarily applied during zenith-pointing conditions under which the lidar can detect the cloud base and the radar is more sensitive to clouds. The microphysical properties of below-cloud drizzle and optically thin clouds were retrieved using the HCR reflectivity, HSRL backscatter, and the HCR Doppler spectrum width after it is corrected for the aircraft speed. These indicate that as the boundary layers deepen and cloud-top heights increase toward the equator, both the cloud and rain fractions decrease.