Miracle-dz/UniFAR-FTUs huggingface dataset:
Scotland's Rural College Opportunities and challenges for real-time management (RTM) in extensive livestock systems

Extensive livestock systems face many challenges associated with their environment. They are often associated with poor quality grazing, harsh weather conditions, few or no fences and do not allow for frequent inspections of animals. In addition, the availability of appropriately skilled labour is becoming short in supply. PLF technology promises the capability to transform these systems. Four technologies are evaluated through case studies related to practical deployment and some research results. (1) LoRaWAN (Long Range Wide Area Network) often referred to as LoRa, which is an enabling, IoT, technology communicating, in this case, from animal-wearable sensors, via cloud-based computing to end-users. A network involving two LoRa gateways was established linking on-animal sensors to the ‘cloud’ and thence to management information. (2) GNSS location data were collected from collars and communicated, via LoRa, to determine data transfer efficiency and location accuracy. (3) Proximity sensors small proximity beacons on lambs and receivers with LoRA transmitters on their collared dams to assess lambdam pedigree information. (4) Tri-axial inertia movement units (IMU) IMU data was communicated in real-time via LoRa enabled transmitting neck collars. The range of wearable technology provided reliable and potentially useful management information. Combined technologies provide the best technical promise but all four technologies have particular challenges in terms of costs and benefits in these extensive systems.
Scientific Panel on GMO Minutes of the 118 th Plenary meeting of the Scientific Panel on GMO 25-26 October 2017 , Parma ( Agreed on 28 November 2017 ) Participants • Panel members :

o Attending via web streaming: Oksana Apanasets (Bayer), Bence Balogh (Bayer Hungária Kft.), Elena Cogalniceanu (EAS Strategies), Tewodros Duressa (Monsanto Europe), Juliane Geike (KWS SAAT SE), Gijs A. Kleter (RIKILT Wageningen University & Research), Debora Leite (Vigna Brasil), Alexandra Lensch (Evonik Nutrition & Care GmbH), Anja Matzk (KWS SAAT SE), Sara Nigro (Syngenta), Romaan Raemaekers (Syngenta), Sever Rotaru (Canadian Food Inspection Agency), Sabine Storck-Weyhermueller (Syngenta), Kate Trollope (EU Food Policy), Christine Wandelt (BASF Plant Science Company GmbH), Irina Wenderoth (BASF Plant Science)
Impact Evaluation of Agricultural Infrastructure on Small Holder Farming Production in Delta State, Nigeria

Crop production in Nigeria is dominated by small holder farmers with less than 5 hectares. They make up about 70 percent of the farming population and produce the bulk of the food crops. However, with their immense contributions to the food needs of the country, they are still bedeviled with enormous challenges of inadequate agricultural infrastructures. This study examined the structure of the government agricultural infrastructure and estimated the impact of these infrastructures on the agricultural production of farmers in Delta State. Data were obtained from cross-sectional survey of farmers via the use of a well structured questionnaire. Both descriptive and inferential statistics were used to analyze the data. The analysis of the result on the structure of infrastructure using test of difference in proportion showed agricultural infrastructure has significantly improved the structure of rural social infrastructure. However, they have not improved the structure of agricultural infrastructure in Delta State on the general basis. The infrastructures so far provided have increased lake and pond (aquaculture) fishing, livestock number, improved health, farming techniques, produce evacuation and marketing. The recommendations made include: need to increase in agricultural infrastructural base especially in rural physical and institutional infrastructure, with engine boats and articulated agricultural extension programmes. These will be necessary for increased agricultural production and the transformation of rural farmers from socio economic stress.
Analysis of Behavior Extraction on Social Life Issues Using Sentiment Analysis: A Review

At present time most of the world can be found on internet. The popularity of the social networking sites has been growing fast, parallel to emerging technologies, with increase in the number of users to the social networking sites that actively express their opinions on these sites. To forecast the sentiment analysis we have used the data stored on social sites stockpiling. Our goal is to retrieve data from social sites and analyze the emotion of a particular person on certain topic. For our analysis we have used the data available on Twitter, as Twitter has a large amount of data that people post, which gives the output beyond the polarity but those polarities can be used in product profiling, trend analysis and forecasting. This paper presents an overview of past and current research on twitter sentiment analysis and presents better ideas for future work.
The Geography of Desperation in America: Labor Force Participation, Mobility Trends, Place, and Well-being

There is much to be troubled about in the state of America today. We boast booming stock markets and record low levels of unemployment, yet significant sectors of our society are dying prematurely from preventable deaths (deaths of despair) and almost 20% of prime aged males are out of the labor force.1 Americans have higher levels of well-being inequality and report more pain on average than countries of comparable and even lower levels of income.2 There are other signs of decline, ranging from falling levels of civic trust to viscerally divided politics.
Perception of people with type 2 diabetes mellitus concerning an educational health process

Objective: to understand the perception of people with type 2 diabetes mellitus about the participation in an educational health process. Methods: qualitative study, conducted with 26 people with diabetes enrolled in the Association for Diabetics. There were 12 meetings entitled “reflective-educational process”, based on the theoretical and methodological strategy of the Culture Circles. Meetings were recorded, transcribed and analyzed according to identification of generative themes and extreme situations. Results: two thematic units emerged: Being in group: space for embracement and construction of knowledge; and Realizing changes resulting from being in a group. Participatory meetings proved to be efficient, as they were configured as support network, space for motivation, construction of knowledge about the disease, living with it, and approximation between professionals and individuals. Conclusion: health education with participatory approach was perceived as satisfactory, favoring living with the disease and changing habits.
Dissecting the Genome-Wide Evolution and Function of R2R3-MYB Transcription Factor Family in Rosa chinensis

Rosa chinensis, an important ancestor species of Rosa hybrida, the most popular ornamental plant species worldwide, produces flowers with diverse colors and fragrances. The R2R3-MYB transcription factor family controls a wide variety of plant-specific metabolic processes, especially phenylpropanoid metabolism. Despite their importance for the ornamental value of flowers, the evolution of R2R3-MYB genes in plants has not been comprehensively characterized. In this study, 121 predicted R2R3-MYB gene sequences were identified in the rose genome. Additionally, a phylogenomic synteny network (synnet) was applied for the R2R3-MYB gene families in 35 complete plant genomes. We also analyzed the R2R3-MYB genes regarding their genomic locations, Ka/Ks ratio, encoded conserved motifs, and spatiotemporal expression. Our results indicated that R2R3-MYBs have multiple synteny clusters. The RcMYB114a gene was included in the Rosaceae-specific Cluster 54, with independent evolutionary patterns. On the basis of these results and an analysis of RcMYB114a-overexpressing tobacco leaf samples, we predicted that RcMYB114a functions in the phenylpropanoid pathway. We clarified the relationship between R2R3-MYB gene evolution and function from a new perspective. Our study data may be relevant for elucidating the regulation of floral metabolism in roses at the transcript level.
Coordination of Unlike Grammatical Functions

The aim of this paper is to propose a dependency analysis of coordination of unlike grammatical functions, as witnessed in Slavic and some neighbouring languages (including Romanian, Hungarian and West Armenian). In order to increase the practical impact of the analysis, the proposed representations adhere to Universal Dependencies, a syntactic corpus annotation scheme, though arguments are given for validity of such representations from the theoretical linguistic perspective.
Does the weighting of climate simulations result in a better quantification of hydrological impacts?

Abstract. With the increase in the number of available global climate models (GCMs), pragmatic questions come up in using them to quantify climate change impacts on hydrology: is it necessary to unequally weight GCM outputs in the impact studies, and if so, how should they be weighted? Some weighting methods have been proposed based on the performances of GCM simulations with respect to reproducing the observed climate. However, the process from climate variables to hydrological responses is nonlinear, and thus the assigned weights based on performances of GCMs in climate simulations may not be correctly translated to hydrological responses. Assigning weights to GCM outputs based on their ability to represent hydrological simulations is more straightforward. Accordingly, the present study assigns weights to GCM simulations based on their ability to reproduce hydrological characteristics and investigates their influences on the quantification of hydrological impacts. Specifically, eight weighting schemes are used to determine the weights of GCM simulations based on streamflow series simulated by a lumped hydrological model using raw or bias-corrected GCM outputs. The impacts of weighting GCM simulations are investigated in terms of reproducing the observed hydrological regimes for the reference period (1970–1999) and quantifying the uncertainty of hydrological changes for the future period (2070–2099). The results show that when using raw GCM outputs to simulate streamflows, streamflow-based weights have a better performance in reproducing observed mean hydrograph than climate-variable-based weights. However, when bias correction is applied to GCM simulations before driving the hydrological model, the streamflow-based unequal weights do not bring significant differences in the multi-model ensemble mean and uncertainty of hydrological impacts, since bias-corrected climate simulations become rather close to observations. Thus, it is likely that using bias correction and equal weighting is viable and sufficient for hydrological impact studies.
University of Southern Denmark KDM 4 B-regulated unfolded protein response as a therapeutic vulnerability in PTEN-deficient breast cancer

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Explicitness 2 Explicitness in Sixth-grade Social Studies Textbooks

A sample of 12 recent and older sixth grade social studies textbooks was examined to determine their level of explicitness, one of the criteria used to determine the "friendliness" or comprehensibility of a text. Researchers randomly selected three samples--usually chapters--from each of the 12 textbooks. The Explication Inventory (consisting of 'six items, each with a five-point scale) was used by two raters to rate each sample, and the ratings for the three samples from each textbook were then averaged to get a total for that text. To check for reliability, a third rater rated the three segments for a random sample of half the textbooks. The results of analysis indicated no statistically significant differences on total explication scores between the recent and the older textbooks. The raters concluded that the social studies textbooks they examined tended to be friendly on the criterion of explicitness, although it should be noted that text friendliness is also affected by extra-text determinants such as student abilities and curricular and instructional factors. (References and tables are provided; appendices consist of the Explication Inventory and a list of the textbooks reviewed.) (AEW) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) la,This document has been reproduced as received from the Person or organIzation originating it. Minor changes have been made to improve reproduction Quality. Points ol view or opinions stated in this docu. ment do not necessarily represent official OEM position or policy. Cr% MARIAM JEAN DREHER University of Maryland Nc%1 HARRY SINGER University of California, UJ Riverside CATHERINE A.LETTEER University of California, iTxplicitness in Sixth-grade Social Studies Textbooks "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY
Capital Account Liberalization and Currency Crisis in Post-Communistic economies

After the Russian crisis in August 1997, its adverse impact spread into the Post Communistic countries essentially via several channels , which caused the collapse of domestic currency regimes. An essential factor in helping the spread of the currency speculative effect was the removal of capital control regulations in the earlier 90s. To analyse and answer the research question, the paper constructs multi-country investigation. Probit Panel model was adopted to analyze the multi-country study of post-communistic countries. Evidently, the analysis of this panel pointed out that those countries with free capital flows experience a lower likelihood of currency crisis , if the sequence of CAL reformed is adjusted to economic performance of the economy. Furthermore, outcomes from analysis suggest that speed and sequence of the capital account liberalization process is one of the most important factors to increase the probability of crisis and it should be adequate to country conditions of macroeconomic and political fundamentals.
Particle Production and Vacuum Polarization in an Anisotropic Gravitational Field

Particle production and vacuum polarization of a scalar field with arbitrary mass are considered in a strong external gravitational field with a homogeneous spatially-flat nonstationary metric. The finite renormalized average values of the energy-momentum tensor are found in the general anisotropic case. It is established that vacuum polarization and production of particles of a zero mass field are absent only in the isotropic case. The behavior near the singularity is investigated; in the case of isotropic collapse the exact asymptotic forms are determined. It is shown that the average values found for anisotropic collapse increase like t-•, and the contraction law may be substantially altered when the reciprocal effect of the scalar field on the metric is taken into account. The polarization operator is calculated to first order in h for the case of a weak gravitational field.
In-Vitro Bio fi lm Detection among Uropathogens and Their Antibiogram Pro fi le

Objectives: The study was carried out in Kathmandu Model Hospital, Kathmandu with the aim of invitro biofi lm detection among uropathogens and its correlation with antibiotic resistance. Methods: Uropathogens (n=234) were isolated, and identifi ed with standard microbiological techniques and further subjected to Modifi ed Congo Red Agar Method for the biofi lm detection in-vitro; antimicrobial susceptibility testing (10 antibiotics) was performed by Modifi ed Kirby Bauer disc diffusion method. The MIC and MBEC values of Levofl oxacin were determined by agar dilution for planktonic forms and by microdilution method for biofi lm phase respectively. Results: Among 234 urine isolates, 134(57%) were positive for in-vitro biofi lm production and 88(37.6%) were multidrug resistant (MDR). E.coli was the predominant biofi lm forming uropathogens. The incidence of biofi lm producers was found to be independent of age-wise, gender wise and indoor-outdoor distribution of patients. The association between biofi lm production and multidrug resistance among uropathogens was found statistically non-signifi cant (p-value>0.05). The MBEC values of biofi lm phase of growth were found to be greater than the MIC values for their planktonic counterparts. The MBEC values ranged from 4 to more than1024 μg/ml whereas the MIC values ranged from 0.003-16 μg/ml. Conclusion: The results of this study suggest that biofi lm detection is a critical step to fi ght against biofi lm-involved infections. However, further studies are needed for the development of effective preventive and treatment strategies of biofi lm associated UTIs to avoid recurrence and persistence.
ADSORPTION BEHAVIOR OF CADMIUM AND COPPER COMPOUNDS ON A MIXTURE FA : TiO 2

Fly ash (FA) with alkali modified surface, was used in wastewater treatment, for cadmium and copper immobilisation. The FA adsorption capacity can be improved, with differents amounts of TiO2. The adsorption studies were carried out on single substrates (FA and TiO2) and multi proportions mixtures of FA:TiO2. The influence of the TiO2 over adsorption capacity was studied by modifying the ratio FA:TiO2 and by optimizing the contact time. Efficiencies over 99% were obtained after 30 minutes of adsorption. A synergism effect was obtained during the process, caused by the pH modifications towards alkaline values; the cause can be the TiO2 surface activation, to negative charges by hydroxide adsorption, which favours the cation adsorption. The process was kinetically modelled (pseudo-second order kinetic and interparticle diffuson). The highest adsorption rate occurs for an optimized ratio FA:TiO2 = 3:1.
Ultra-low Power FinFET SRAM Cell with Improved Stability Suitable for Low Power Applications

In this paper, a new 11T SRAM cell using FinFET technology has been proposed, the basic component of the cell is the 6T SRAM cell with 4 NMOS access transistors to improve the stability and also makes it a dual port memory cell. The proposed cell uses a header scheme in which one extra PMOS transistor is used which is biased at different voltages to improve the read and write stability thus, helps in reducing the leakage power and active power. The cell shows improvement in RSNM (Read Static Noise Margin) with LP8T by 2.39x at sub-threshold voltage 2.68x with D6T SRAM cell, 5.5x with TG8T. The WSNM (Write Static Noise Margin) and HM (Hold Margin) of the SRAM cell at 0.9V is 306mV and 384mV. At sub-threshold operation also it shows improvement. The Leakage power reduced by 0.125x with LP8T, 0.022x with D6T SRAM cell, TG8T and SE8T. Also, impact of process variation on cell stability is discussed.
Magneto-electric multiferroics: designing new materials from first-principles calculations

Abstract In parallel with the revival of interest for magneto-electric multiferroic materials in the beginning of the century, first-principles simulations have grown incredibly in efficiency during the last two decades. Density functional theory calculations, in particular, have so become a must-have tool for physicists and chemists in the multiferroic community. While these calculations were originally used to support and explain experimental behaviour, their interest has progressively moved to the design of novel magneto-electric multiferroic materials. In this article, we mainly focus on oxide perovskites, an important class of multifunctional material, and review some significant advances to which contributed first-principles calculations. We also briefly introduce the various theoretical developments that were at the core of all these advances.
Funktionelle Morphologie der unteren Lendenwirbelsäule

Functional morphology of the lower lumbar spine Summary. The lower part of the lumbar vertebral column (L3-S1) with its morphological peculiarities is described with reference to its importance for the entire spine as a functional system. The main stress is on the detailed anatomy of the ligaments and their function in the con­ trol of movements. Special reference is made to the con­ nection of the lumbodorsal fascia with the deeper struc­ tures. These combine with the muscles to form a damping system, which protects all parts of the "motion segment" in their "end-positions". This mechanical system is dependent on a normal thickness of the intervertebral disc The two parts of the zygapophysial joints (the medial part in the coronal plane and the lateral more in the sagittal plane) are important in this mechanism. It is necessary to differentiate the functions of the different parts of the erector muscle of the spine. Whereas the lon­ ger (superficial) bundles bring about the coarser flexionextension movements, the shorter (deeper) ones control the fine movements between the adjacent vertebrae. In conclusion, the topography of the vertebral canal and some possible pathological implications are described.
Multi-branch Siamese Network for High Performance Online Visual Tracking

Recently, Siamese networks have drawn great attention in the visual tracking community because of their balanced accuracy and speed. However, most existing Siamese frameworks describe the target appearance using a global pattern from the last layer, leading to high sensitivity to similar distractors, non-rigid appearance change, and partial occlusion. Addressing these issues, we propose a Multi-branch Siamese network (MSiam) for high-performance object tracking. The MSiam performs layer-wise feature aggregations and simultaneously considers the global-local patterns for more accurate target tracking. In particular, we propose a feature aggregation module (FAM) keeping the heterogeneity of the three types of features, further improving the discriminability of MSiam using both high-level semantic and low-level spatial information. To enhance the adaptability to non-rigid appearance change and partial occlusion, a multi-scale local pattern detection module (LPDM) is designed to identify discriminative regions of the target objects. By considering various combinations of the local structures, our tracker can form various types of structure patterns. Extensive evaluations on ﬁve benchmarks demonstrate that the proposed tracking algorithm performs favorably against state-of-the-art methods while running beyond real-time.