Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical study of Zaorenanshen tablet treating anhypnia

Objective To evaluate the clinical efficiency of Zaorenanshen tablet on the treatment of anhypnia.Methods 96 subjects were divided into test group and control group taking the method of random double blinded and controlled by placebo.The subjects of test group received Zaorenanshen tablet,and the control group subjects took placebo.The treatment courses were all 4 weeks.Results The deviation of test group PSQI total points was-6.20 ± 3.15,and the control group is-2.06 ± 2.74. There was statistic meaning between two groups(P 0.05). The deviation of test group total hours of sleep was(48.36 ±107.70) min,and the control group was(-3.00 ±113.01) min.There is statistic meaning between two groups(P 0.05). The total efficiency of traditional Chinese medicine symptoms in the test group is 85.42%,and the control group was 27.08%. There was statistic meaning between two groups(P 0.05). Conclusion Zaorenanshen tablet is an effective drug for the treatment of insomnia.
Drug Therapy for Infectious Diseases of the Dog and Cat

Description: Drug Therapy for Infectious Diseases of the Dog and Cat offers a quick and easy guide to treating infectious diseases in dogs and cats. Carefully designed for fast access, this practical guide allows for searching by either drug or organism, making it ideally suited for use in the clinic. Focusing on the information needed in practice, the book puts the facts on drug names, availability, clinical use, administration and dosage, adverse reactions, interactions, and more immediately at your fingertips. Beginning with the basic principles, the book presents sections on pharmacology guidelines, empiric antibiotic therapy, therapy of established infections, antibiotics, antifungals, antiparasitics, and antivirals, with sections on organisms and agents organized alphabetically. Drug Therapy for Infectious Diseases of the Dog and Cat is an ideal user–friendly handbook for effectively and responsibly prescribing drugs to treat infectious disease in canine and feline patients. Key features Provides fast access to essential information on prescribing antibiotics, antifungals, antiparasitics, and antivirals Offers alphabetical searching by either drug or organism Focuses on clinically relevant information Covers information on each drug using a common format for ease of use Presents a reliable quick reference to the correct use of antibiotics in veterinary practice
Sensitivity of Aerosol Radiative Effects to Shipping Emissions

In 2020, The International Maritime Organization (IMO) will enforce significant restrictions on SO2 emissions from global shipping to improve public health. SO2 forms SO2− 4 aerosols, which have a cooling effect on climate. A reduction in SO 2− 4 leads to atmospheric warming. In order to explore making this policy climate-neutral, we investigated the sensitivity of radiative forcing to potential restrictions on black carbon (BC) emissions. BC emissions are also closely tied to organic carbon (OC) emissions: reductions of one often leads to reductions of the other. The direct and indirect radiative effects from SO2− 4 , BC, and OC aerosols emitted by ships were calculated using the chemical transport model GEOS-Chem. The TwOMoment Aerosol Sectional (TOMAS) module was used to calculate particle number and mass of shipping aerosols, and the Rapid Radiative Transfer Model for General Circulation Models (RRTMG) module was then used to calculate the radiative fluxes at the top of the atmosphere. Simulations were performed for the year 2013 with 1-month December 2012 spinup. We investigated 4 different scenarios: the ‘businessas-usual’ (BAU) scenario with no changes to emissions, an ‘IMO’ scenario with 85% less SO2 emissions from ships, an ‘IMO + BC reduction’ scenario with 85% less BC and SO2 emissions from ships, and an ‘IMO + BC + OC’ reduction scenario, with 85% less BC, OC, and SO2. It was determined that the IMO scenario leads to a global average of 45.3 mWm−2 of increased warming compared to the BAU scenario. The ‘IMO + BC reduction’ leads to 44.0 44.5 mWm−2 of increased warming, suggesting that a BC reduction is not sufficient to offset the warming from the 2020 SO2 restrictions. The ‘IMO + BC + OC’ scenario leads to 53.8 54.3 mWm−2 of increased warming. This is even larger than the warming introduced by the ‘IMO’ scenario and is an undesirable scenario from a climate perspective. In order to make each scenario climate-neutral, CO2 from ships would have to be reduced by 47 to 65% on a 100-year timescale.
Wave parameters influence on breakwater stability

This research paper experimentally explored the wave parameters effects on the breakwater armour layer stability. Breakwater stability mainly depends on the armour layer that guards the inner layers against the wave attack and the wave condition affects the breakwater stability. The wave height, length and steepness effect were investigated during the test program. Different formulas were available in the literature to predict the breakwater stability. The laboratory results were thus employed to assess the applicability of existing design equations. Experimental results showed that under normal wave condition (Hs) the breakwater was stable, whereas under storm condition (Hs of 1.2 designed wave height) the roundhead reached the failure state. The results approved the impact of wave parameters on the breakwater stability and damage progression. Results revealed that the existing design formulas underestimate the structure stability.
Estimation of individual doses from external exposures and dose group classification of cohort members in high background radiation area in Yangjiang,China.

Objective\ In order to estimate annual effective doses from external exposures in the high background radiation area(HBRA)and in the control area(CA),we measured absorbed dose rates in air from terrestrial gamma radiation with different dosimeters.A dose group classification was an important step for analyzing the dose effects relationship among the cohort members in the investigated areas.We used the hamlet specific average annual effective doses of all the 526 hamlets in the investigated areas.A classification of four dose groups was made for the cohort members(high,moderate,low and control). Methods For the purpose of studying the dose effect relationships among the cohort members in HBRA and CA,it would be ideal that each subject has his own record of individual accumulated doses received before the evaluation.However,it is difficult to realize it in practice (each of 106517 persons should wear TLD for a long time). Thus we planned two sets of measurements.Firstly,to measure the environmental dose rates(outdoor,indoor,over the bed)in every hamlet of the investigated area (526 hamlets),considering the occupancy factors for males and females of different age groups to convert to the annual effective dose from the data of dose rates.Secondly,to measure the individual cumulative dose with TLD for part of the subjects in the investigated areas.Results Based on the two sets of measurements,the estimeates of average annual effective doses in HBRA were 211 86 and 206.75×10 -5 Sv/a,respectively,68.60 and 67.11×10 -5 Sv/a,respectively(gamma radiation only). The intercomparison between these two sets of measurement showed that they were in good correlation.Thus we are able to yield the equations of linear regression:Y=0.9937+6.0444,r=0.9949. Conclusions We took the value obtained from direct measurement as “standard”,and 15% for uncertainty of measurement.Since the estimates of individual annual effective dose for the cohort members were based on hamlet average dose and occupancy factors for males and females of different age groups,there were uncertainties in the classification of dose groups.Thus we analyzed the probability of mis classification of dose groups.The results of analysis showed that the probability of mis classification would not influence significantly the function classification.
Cultural Border Crossings in the UAE

Over one academic year, the author documented the experiences of new first-year male Emirati students at a college of higher education in the United Arab Emirates. He described and attempted to explain the gamut of transition experiences as young male Emirati school-leavers moved from their pre-dominantly Arabic life-world associated with their families and schooling to the pre-dominantly Western culture found in higher education. He also investigated factors affecting student learning and assessed best practices in the college administrative and academic areas which appeared to facilitate smoother border crossing transitions. Adopting a multi-paradigmatic research design that drew methods and quality standards from multiple paradigms to create a methodology that enabled an artful, critical and interpretive exploration of complexity supplemented by a descriptive analysis of general social patterns, a Border Crossing Index was found to broadly correlate with student placement levels indicating that those students placed in the lower levels were much more likely to leave college and seek full-time employment within the first semester – 66% of the new students left in the first year.
FOREST DEGRADATION ANALYSIS USING GEOSPATIAL TECHNIQUES APPROACH IN TROPICAL REGION OF PAHANG, MALAYSIA

Abstract. Tropical forest degradation is a global concern since most deforestation study supports that the region seems to suffer a great loss in the recent decades. The main objective of this paper is to evaluate the forest dynamic in Rompin and Pekan district of Pahang state using satellite image and land use model. Pekan district has the biggest peat swamp forest (PSF) in Peninsular Malaysia and also covers with inland dipterocarp forest. The land use of study area was categorized using Maximum Likelihood Classification (MLC) and further analysed using Land Change Modeler (LCM). From the results, forest land use has a negative growth (15% net loss) in the last 25 years, mostly converted to other vegetation class with overall 45% loss and 20% gain. The PSF itself was continuously degraded during the 1990 to 2017 periods, with a total loss of more than 700 km2. This study demonstrates the forest land use exploitation and the needs to consider a details forest monitoring analysis to extract the actual contributors for this phenomenon. The role of Permanent Reserved Forest (PRF) seem likely to be taking effect since the deforestation only massively happen outside of the PRF and part of the disturbed area are being reforested.
Body Mass Index, Body Composition, and Cognitive Function in Adults 60 Years and Older

Amy Morgan, Advisor Executive function (EF) is essential for older adults to maintain independence and high quality of life (Lezak, Howieson, & Loring, 2004). Normal cognitive aging is accompanied by decrements in EF (Haug & Eggers, 1991; Raz et al., 1997; Salat et al., 2005). Body fat is thought to mediate this relationship, potentially through the activity of hormones or inflammation. However, the extent of the relationship is not well understood. The aim of this study was to determine whether percentage body fat (PBF) would yield a stronger relationship to EF in older adults than would body mass index (BMI). Participants were adults 60 years and older with no history of mental illness and who were not currently taking medications that could influence the central nervous system. Individuals were screened for mild cognitive impairment using the Montreal Cognitive Assessment. Participants completed the d2 test and modified flanker task to assess EF. In addition, the participants’ body composition was estimated through the use of air displacement plethysmography (ADP) and bioelectrical impedance analysis (BIA). Bivariate correlations between PBF and EF test scores, as well as BMI and EF test scores were examined. Multiple and linear regression analyses were calculated to predict the amount of variance in cognitive tests scores as a result of the dependent variables. PBF, using two different methods, and BMI were not significantly correlated to EF. Further research is necessary to clarify the nature of the relationships among body fat, BMI, and cognitive function.
Contextualisation didactique en éducation à la sexualité et production d'inégalités dans les pratiques sexuelles à risque chez les lycéens.

Les transformations institutionnelles qu’a connu la Guadeloupe ont marque les pratiques sexuelles de la population. Cependant, comme partout en France on retrouve l’education a la sexualite a l’ecole. Afin de comprendre comment se fait cette intervention de la sphere publique par le contexte scolaire aupres des eleves d’origines sociales diversifiee. Nous prenons comme reference les travaux de Bru (2002), Chevallard (1985, 2009), Sauvage et Turpin (2012) et Poggi (2014) pour le processus de contextualisation et ceux de Lahire (2012) et de Bozon (2013) pour comprendre la production, rencontre et modification des dispositions incorporees sexuelles. On pose que l’apport des savoirs va produire et agir sur les dispositions incorporees sexuelles des eleves par l’action de l’enseignant et cree un processus de contextualisation. Nous formulons deux hypotheses : la situation didactique en education a la sexualite est a la fois contextualisee et contextualisante.Les etudes menees sur l’analyse du curriculum formel, sur l’analyse des pratiques declarees des enseignants et sur l’analyse des pratiques declarees des eleves en rapport avec le milieu didactique en education a la sexualite. Permettent de conclure que la dimension contextualisee est revelee par les dispositions incorporees des acteurs et le poids du contexte institutionnel. Cette dimension contextualisee induit une dimension contextualisante, par une place insuffisante accordee au contexte social de l’eleve, le savoir reste homogene dans un milieu diversifie. Cette rencontre entre homogeneite et diversite cree des inegalites dans l’acquisition des savoirs et dans les choix de conduites sexuelles.
THE CONCORD WATER SURVEY

The city of Concord, New Hampshire, experienced a serious water shortage in 1980-81. An energetic conservation campaign was evidently successful, as city-wide use declined by some fifteen percent during the shortage. This study uses data from a mailed survey questionnaire, combined with information from Water Department billing records, to examine the predictors of water conservation in a random sample of 431 Concord households. The most important single predictor of household conservation is baseline, pre-shortage water use. The greater the pre-shortage use, the greater the use reduction, in both absolute and in percentage terms. This effect remains strong even with more than twenty other variables in the model. The most important steps taken to conserve water are indoors, behavioral changes such as less flushing of toilets, shorter showers, shallower baths, etc. Reductions in outdoors water use were almost universally claimed by these households, so this variable cannot account for within-sample variations in conservation. The indoors, behavioral changes are most closely related to idealistic, rather than economic, motives for saving water. Idealistic motives are highest among younger, more affluent, and better-educated households. Economic motives, in contrast, are higher among less affluent and educated households, with larger numbers of children. People citing economic motives may actually have conserved less water than others. This study represents the first attempt to construct a full causal model for household water conservation. The findings have implications both for water-conservation program design, and for the direction of possible future research.
Classification of tomato (Lycoersicon Esculentum Miil) ripeness levels based on HSV color using digital image processing

Tomato is a fruit that undergoes a rapid ripening process. Classification of tomatoes based on the level of ripeness is very important during the distribution process of tomatoes in various regions. In general, farmers classify the ripeness level of tomatoes based on fruit color, because this is easy to do. Generally, the classification of the ripeness level of tomatoes is done manually by looking directly with the eyes and based on the color of the fruit. The problem is, manually identifying the level of ripeness of tomatoes based on color still has many shortcomings and the results are less than optimal. This is because humans have many limitations such as differences in perceptions by farmers, fatigue, lack of focus, relatively long time required and produce a variety of products due to human visual limitations and differences in perceptions about the quality of tomatoes. One alternative technology that can be used to reduce this problem is to use digital image processing with color spaces such as hue, saturation, value (HSV). HSV color has a tendency to detect color with a degree of dominance to get accurate object recognition results. Using digital image processing techniques, information is obtained that can be processed by a computer and the results are more precise, fast and automatic. Based on the results of research using image processing with HSV color space can identify the maturity level of tomatoes at three levels of ripeness, unripe, half-ripe and ripe.
Assessing mammal community composition in the Huinay Biological Reserve (Chile) through questionnaire surveys: biases associated with respondents

espanolEl estudio del conocimiento de la gente mediante cuestionarios puede proporcionar una buena idea de la composicion de las comunidades de mamiferos. Sin embargo, existen sesgos y errores potenciales en estos estudios, como los asociados a la familiaridad de los encuestados con la fauna. Nuestros objetivos principales fueron: 1) evaluar la composicion de la comunidad de mamiferos de la Reserva Biologica de Huinay, un area remota de bosque Valdiviano en el sur de Chile, y 2) analizar la relacion entre el grado de contacto de los encuestados con los mamiferos nativos y su conocimiento sobre la comunidad de mamiferos. Designamos un cuestionario para obtener informacion sobre el numero de especies de mamiferos registradas por la gente que vivio en, o visito, el area entre 2010 y 2013. Los 43 participantes en este trabajo registraron un total de 13 especies de mamiferos. Todas las especies que habitan en la zona segun los atlas generales de distribucion fueron citadas por los participantes. Tanto el numero de especies citadas como las observadas estuvieron correlacionadas positivamente con el tiempo que los participantes habian permanecido en el area. Nuestros resultados sugieren que los estudios basados en cuestionarios pueden proporcionar una buena vision general de la composicion de las comunidades de mamiferos de areas remotas del sur de Chile, pero tambien indican el reto que supone seleccionar participantes bien informados en estas areas. EnglishThe study of people’s knowledge through interviews and questionnaires can provide a good picture of the composition of mammal communities. However, there is considerable potential for error and bias in these surveys, including some associated with the familiarity of respondents with wildlife. Our main goals were: 1) to assess mammal community composition of the Huinay Biological Reserve, a remote Valdivian rainforest area in southern Chile, and 2) to evaluate the relationship between the degree of respondents’ contact with native mammals and their knowledge about the mammal community. A questionnaire was designed to gather data about the mammal species recorded by people who lived in, or had visited, the area between 2010 and 2013. A total of 13 mammal species were mentioned by 43 participants in the survey. Overall, all the mammal species that inhabit the study area according to general mammal distribution maps were identified in our survey. Both the total number of species mentioned (observed or not) and the number of species seen by the respondents were positively associated with the time they stayed in the area. Our findings suggest that questionnaire surveys may provide useful information about the composition of mammal communities in remote areas of southern Chile, but selecting knowledgeable respondents is challenging.
Deep Feature Fusion Model for Sentence Semantic Matching

Sentence semantic matching (SSM) is a fundamental research in solving natural language processing tasks such as question answering and machine translation. The latest SSM research benefits from deep learning techniques by incorporating attention mechanism to semantically match given sentences. However, how to fully capture the semantic context without losing significant features for sentence encoding is still a challenge. To address this challenge, we propose a deep feature fusion model and integrate it into the most popular deep learning architecture for sentence matching task. The integrated architecture mainly consists of embedding layer, deep feature fusion layer, matching layer and prediction layer. In addition, we also compare the commonly used loss function, and propose a novel hybrid loss function integrating MSE and cross entropy together, considering confidence interval and threshold setting to preserve the indistinguishable instances in training process. To evaluate our model performance, we experiment on two real world public data sets: LCQMC and Quora. The experiment results demonstrate that our model outperforms the most existing advanced deep learning models for sentence matching, benefited from our enhanced loss function and deep feature fusion model for capturing semantic context.
Finite-element Analysis of Cotton Serrated Ginning State Based on Three-dimensional Braided Modeling

ABSTRACT In order to analyze the stress state of the seed cotton in the process of ginning cotton, a theoretical model for cotton, namely three-dimensional braided cotton was developed. The model consists of cotton fiber bundles arranged according to the unit cell structure of a three-dimensional four-directional braided composite material. The fiber bundle has a circular section and the shape of the cross section remains unchanged along the axial direction. Based on this model, the serrated ginning process is simulated using finite-element analysis. By analyzing of the effects of different moisture regain and speed on the serration cotton ginning process, the results show that the simulation results agree with the actual situation and the model has certain applications. Compared to the laminated cotton model, the three-dimensional braided cotton model has been improved obviously. In terms of model structure, the three-dimensional braided cotton model is closer to the actual situation of cotton than the existing laminated cotton model. The whole model in the laminated cotton model is an entity, which is bonded together by multiple layers of single-layer panels at different angles. The three-dimensional braided cotton model takes into account the intertwining of fibers and apces, but does consider the distribution of cottonseed which will be the focus research.