Miracle-dz/UniFAR-FTUs huggingface dataset:
An Empirical Analysis of the Organic Retail Market in the NCR

A major change observed worldwide, is the growing concern over health risk associated with consumption of food with residues of agro-chemicals used in production. This heightened awareness about health and environmental issues has generated interest in alternative farming techniques—one of which is organic farming. However, a major conversion of conventional agriculture to organic agriculture will depend on several reasons-first and foremost being whether the consumers are interested in organic foods, and whether they are willing to pay price premiums for these goods. Second, foreseeing the customer demand is the retailer willing to venture into organic retailing and provide shelf space. A very interesting and a highly lucrative potential market exists in the country itself and there is an urgent need to explore the current organic market and assess its growth potential. The present study focuses on this as well as assessing the potential of marketing organically grown agricultural produce and products in the domestic market. The organic awareness and market is predominantly in the urban metros, Delhi being one of them thus the research is confined to the NCR region.
Correlation between clinical signs of feline conjunctivitis and molecular detection of felid herpesvirus-1 , feline calicivirus , chlamydophila felis and mycoplasma felis in cats from shelters in Rio de Janeiro

Objectives: To perform molecular diagnosis of microbial agents (FHV-1, FCV, Mycoplasma felis, and Chlamydophila felis) in kittens with conjunctivitis and correlate the clinical signs with clinical severity. Material and Methods: A total of 108 conjunctival swab were collected from kittens without (G1; n = 40) and with (G2; n = 68) clinical signs of conjunctivitis. Animals from G2 group were scored from 1 (mild) to 4 (severe) according to the severity of conjunctivitis. All samples were submitted to PCR and RT-PCR. Results: FHV-1 was detected in 62/108 (57.4%) of samples, FCV in 40/108 (37.0%), M. felis in 11/108 (10.2%) and C. felis in 26/108 (24.1%). Mixed infections were detected in 39/108 (36.1%). In G1, 28/40 (70.0%) were positive for one or more agents, in G2, 58/68 (85.3%) were positive (P = 0.03). In 1, single infections by FHV-1were found in 21/40 (52.5%) samples, FCV in 2/40 (5.0%), C. felis in 1/40 (2.5%), and no pathogens were detected in 12/40 (30%) of samples, while mixed infections accounted for 29/40 (72.5%) of the cases. In G2, single FHV-1 infections were found in 31/68 (45.6%) samples, FCV in 10/68 (14.7 %), M. felis in 2/68 (3.0%) and C. felis also in 2/68 (3.0%), and no pathogens were detected in 10/68 (14.7%) samples, while mixed infections accounted for 36/68 (52.0%) of the cases. They were categorized as grade 1, 20/68 (29.4%), grade 2, 14/68 (20.6%), grade 3, 21/68 (30.9%) and grade 4, 13/68 (19.1%). The presence of FHV-1 and FCV is equally distributed among the four categories. More severe clinical signs, scores 3 and 4, are related to coinfections by C. felis and M. felis. Conclusions: FHV-1, FCV, C. felis and M. felis were identified in feline conjunctivitis. Co-infections are related to more severe cases of conjunctivitis. Molecular diagnosis is helpful to detect asymptomatic carriers and is a rapid and accurate method to determine the pathogen of feline conjunctivitis.
New Ways for Learning and Knowledge Transfer Using Social Semantic Technologies

The history of technology enhanced learning has started about 15 years ago. But it kicked off far earlier if we consider early learning machines such as the one developed by F.B. Skinner as technology. All technology developments have been accompanied by conceptual developments. In the beginnings, the notion of technology enhanced learning was to provide standardized learning material using monolithic systems, referred to as learning management systems. But this was just a one way provision with an author on the one side and a consumer, the learner, on the other. Sometimes technology enhanced learning consisted of simple websites containing content in-tended for learning. Today we find service-based collaborative modular systems. But not only technologies have changed. Also the concept of learning has gone through various changes. Originally, learning was very much dominated by its formal character, while in the meantime informal learning has evolved as a more promising way to learn. It was the paradigm shift from behaviourism to cognitivism and to constructivism which has triggered this change, which was further accelerated through the new technology developments (Tochtermann & Granitzer, 2008). The importance of technology enhanced learning is also well documented by European Research Programmes (Framework Programmes 6 and 7). One of the reasons why corresponding research has been heavily supported by the European Commission lies in the fact that the change of working condition and the high-speed evolution of information and communication technologies, peoples' knowledge and skills need continuous up-dating1. For the current 7th Framework Programme, challenge 4 Digital Libraries and Content explicitly mentions in its working documents that the challenge, therefore, is to harness the synergies made possible by linking content, knowledge and learning2. Both statements support our notion that learning is more than consuming defined content in order to reach a pre-defined learning goal. Instead, it is more about continuously acquiring, generating, applying and even sharing knowledge and not so much about conscious and intended consumption of content.
Research on Establish an Efficient Log Analysis System with Kafka and Elastic Search

Search logs in a timely and efficient manner are an important part of SRE (Site Reliability Engineer). Logs help us solve the problems during our development work. In this paper, we will introduce you a way how to build an efficient logs analysis system based on kafka and Elastic Search. We hope you can learn something through the iteration of the Version and get some inspiration with your own log analysis system.
Preventing and Treating Lameness

Lameness remains a major problem in dairy cattle worldwide. In the UK the average incidence is around 50 cases per 100 cows per year, with much higher incidences being seen in some free-stall (cubicle) housed cattle. Because of its effect on subsequent fertility and production, the cost of a single case of lameness is estimated to be around $450, although this will vary enormously from case to case depending on severity.
Intermediation Services and Search Frictions

In many countries Public Employment Agencies (PEA) offer intermediation services to help as many people as possible to find work by bringing together supply and demand. Using a unique vacancy-level data-set on the number of applicants, we find positive effects of the intermediation services on mitigating search frictions. In particular, we show that applications coming via the PEA are more evenly distributed across vacancies than the applications coming via other search channels. This holds for the total number of applicants as well as the suitable number of applicants. Our results suggest that the market operated by the PEA attains more coordinated job applications compared to other search channels.
Speech Feature Extraction at Different Mode with Application to Shouted Speech Recognition System used for Women Safety

— This paper presents a feature extraction algorithm for speech at different modes such ad whispered, soft, neutral, loud and shouted. Normal feature extraction methods such as LPCC, MFCC or PNCC extract cepstral components of speech and speech recognition systems build on such features provide better recognition accuracy for speech of only normal mode. But in real life, a speech recognition system that could recognize speech of only normal mode is of no use. A better method to recognize speech at whispered, normal or shouted mode is explained in this paper. Energy of the speech signal is computed for each frame and based on the energy level speech mode is categorized. Power spectrum estimated using linear prediction is used instead of power spectrum computed directly from speech signal. MFCC coefficients are calculated from the estimated power spectrum which gives the resulting features for speech recognition at different modes. GMM, GMM-UBM or DNN can be used in training and testing phase of the speech recognition system. This will result in a proper speech recognition system working in any speech mode. The effectiveness of the approach can be demonstrated using a speech recognition system for women safety which is trained and tested with shouted speech.
Barrier layers in the subtropical gyres of the world's oceans

Barrier layers (BLs) in the subtropical gyres of the world's oceans are detected using all temperature and salinity profiles obtained by Argo floats from Jan. 2000 to Jun. 2005. The synoptic BLs are distributed patchily in the area where climatological BLs are continuously distributed. They are thicker and occur more frequently during Jan.–Apr. (Jul.–Nov.) in the Northern (Southern) Hemisphere with some differences in thickness and occurrence rates among the oceans. We suggest that the same formation mechanism of BLs as that in the North Pacific, i.e., the subduction of high salinity water at sharp salinity fronts on a small scale of approximately 100 km is at work in the other subtropical gyres. Seasonal change of the mixed layer depth contributes to the seasonality of BL thickness and frequency in all subtropical gyres.
MISTAKE CHASING GAME - APPROACH FOR MOBILE PROGRAMMING EDUCATION IN NONG LAM UNIVERSITY, HO CHI MINH CITY - VIETNAM

Studying programming is complicated and time consuming, especially for beginners. According to our experience, learning programming techniques can be troublesome for many under-graduate engineering, computer science and information technology students. Previous research has shown promising results when using game-based solutions to support learning of programming concepts. The existing solutions have used mainly competitive contest and embed educational points to motivate students to learn programming. However, very few of the existing studies pay attention on programming for university students, especially in developing country context, including Vietnam. In this paper, we propose a Mistake Chasing Game model that encourage students to play and develop the game, aiming to increase their interest to learn mobile programming concepts. The game is developed on cross-platform mobile devices including smart phones, phablets, and tablets which are widely used among students. The preliminary evaluation results of the Mistake Chasing Game model indicate that students are willing to accept our approach and they reacted positively to the experience of playing and developing the game.
Determination of Fracture Toughness Characteristics of Small- Size Chevron-Notched Specimens

A new method is proposed to determine fracture toughness of structural materials according to the test data of non-standard small-size chevron-notched specimens. During the tests, loading diagrams and photographic images of the specimens taken in time intervals are obtained. The crack length is measured in the process of its initiation and propagation. The analytical expressions are obtained being based and derived from the constitutive equations of engineering fracture mechanics to determine the crack-driving force (specific fracture energy) and the stress intensity factor. The method allows us to exclude the periodic unloading of the specimen applied under standard test conditions to determine the change in specimen compliance, which is taken into account in consti- tutive equations at crack length increase. All necessary calculation parameters are determined according to the experimental data. The method allows us to certify fracture toughness of the material without restrictions regarding the amount of plastic deformation and in front of the crack tip and in the specimen as a whole. The examples are given to calculate the fracture toughness criteria for a number of structural materials characterized by the ability to plastic deformation and by the Young ’ s modulus value.
Towards respecting children’s rights, obligations and responsibilities: The Zimbabwean case

This article reports on an attempt to demonstrate the importance of putting theory into practice in a way that will impact on the lives of children who are currently being denied their basic rights. Purposive sampling of schools in urban areas in Harare Province, Zimbabwe, was used with data collected from 147 participants (M age = 16.9, SD = 1.38) that was subjected to quantitative analysis. Data were gathered on participants’ views on children’s rights and obligations and their understanding and implementation of the Bills of Rights. Children acknowledged that their rights were being implemented although inadequately; adults living in urban areas were perceived to have knowledge of children’s rights and were said to implement them. To resolve the challenges to the implementation of children’s rights and obligations, a multi-sectoral approach is required.
Covering and packing pumpkin models

Let θr (the r-pumpkin) be the multi-graph containing two vertices and r parallel edges between them. We say that a graph is a a θr-model if it can be transformed into θr after a (possibly empty) sequence of contractions. We prove that there is a function g : N → N such that, for every two positive integers k and q, if G is a Kq-minor-free graph, then either G contains a set of k vertex-disjoint subgraphs (a θr-model-vertex-packing) each isomorphic to a θr-model or a set of g(r)·log q ·k vertices (a θr-model-vertex-cover) meeting all subgraphs of G that are isomorphic to a θr-model. Our results imply a O(log OP T)-approximation for the maximum (minimum) size of a θr-model packing (θr-model covering) of a graph G.
Effect of maize intercrop plant densities on yield and β-carotene contents of orange-fleshed sweetpotatoes

Despite efforts to demonstrate the value of orange-fleshed sweetpotato (OFSP) ( Ipomoea batatas L.) and quality protein maize ( Zea mays L.) in combating vitamin A and protein malnutrition, small land holdings by rural poor farmers still limit the crops’ overall production in Africa. As such, intercropping and optimum plant density in cropping systems will help farmers to improve productivity of the crop, and hence, improve household food and nutrition security. This study determined the effect of maize plant population, in a sweetpotato-maize intercrop, on yields and β-carotene content of two popular OFSP cultivars, Ejumula and NASPOT 9 O (Kabode). Each variety was intercropped with maize variety Longe 5, at three plant densities (i.e. 41,666, 55,555 and 88,888 plants ha -1 ), at Ngetta Zonal Agricultural Research and Development Institute in Uganda. While 55,555 plants of each OFSP cultivar were used for both sole and intercrops, the sole maize plot was 44,444 plants ha -1 . Maize and sweetpotato were harvested at 120 and 135 days after planting, respectively. β-carotene content and yield in sweetpotato roots were significantly (P 1.2 were obtained at maize intercrop densities of 41,666 and 55,555 plants ha -1 . Keywords: Ipomoea batatas , land equivalent ratio, Zea mays
Deciphering Latent Growth-States from Cellular Lineage Trees

Individual cells in a population generally have different replicative capability, presumably due to the phenotypic variability of the cells. Identifying the latent states that rule the replicative capability and characterizing how the states are inherited over generations are crucial for understanding how the self-replication of the cells is modulated and controlled for achieving higher fitness and resistance to different kinds of perturbations. Even with technological development to monitor the proliferation of single cells over tens of generations and to trace the lineages of cells, estimating the state of the cells is still hampered by the lack of statistical methods that can appropriately account for the lineage specific problems. In this work, we develop a statistical method to infer the growth-related latent states of cells over a cellular lineage tree concurrently with the switching dynamics of the states and the statistical law how the state determines the division time. An application of our method to a lineage data of E.coli has identified a three dimensional effective state in the cells, one component of which seems to capture slow fluctuation of cellular state over generations.
CNT as a Sensor Platform

One of the most important drawbacks which caused the Silicon based technologies to their technical limitations is the instability of their products at nano-level. On the other side, carbon based materials such as carbon nanotube (CNT) as alternative materials have been involved in scientific efforts. Some of the important advantages of CNTs over silicon components are high mechanical strength, high sensing capability and large surface-to-volume ratio. Many researches have been presented using CNT as a sensing material in various applications to improve the sensor characteristics. In this chapter, the platform of CNT sensors such as transistor-based sensors, chemiresistors, chemicapacitance and resonator sensors are discussed in detail. Using CNT as a sensor platform although has great advantages; it does not have sufficient sensor reliability. Some of these technical challenges of CNT-based sensors including Schottky contact formation and non-selective synthesization have also been pointed out in the chapter.
Calibration of a Lagrangian Transport Model Using Drifting Buoys Deployed during the Prestige Oil Spill

Abstract The experience acquired in the Prestige crisis management has demonstrated the importance of forecasting oil slick trajectories to plan an effective oil spill response. To have a reliable prediction system, we need to perform a detailed calibration and validation of the oil spill transport model. In this work, the Lagrangian transport model, PICHI, developed by the University of Cantabria during the Prestige accident, is calibrated by means of an automatic calibration methodology. The shuffled complex evolution method, developed by the University of Arizona (SCE-UA), is applied to estimate the optimal coefficients of the model. The calibration of the model has been carried out using 13 buoys deployed in the Bay of Biscay during the Prestige accident as well as coetaneous meteorological and oceanographic data. Moreover, reanalysis data collected in the Spanish ESEOO project framework has also been used. Results suggest that buoys outside the continental slope were mainly driven by wind, whereas ocean currents played an important role in the motion of the buoys located over the continental slope and shelf. According to these findings, the final calibration of the coefficients is performed considering different buoy data. The methodology applied to this broad buoy database, has allowed us to calibrate the model, taking into account the relative importance of the forcings in buoy movement as well as the dynamics associated with each area.
Evaluation of data center network structures considering routing methods

In a data center, servers communicate with each other to handle a large amount of data, and the network within the data center should provide sufficient bandwidth. In addition, the traffic pattern in a data center changes in a short interval, and the data center network should accommodate such frequently changing traffic. Since it is hard to obtain traffic information of the whole network in a short interval, the routing methods using local traffic information are suitable for a large data center network. Though there are many researches to construct data center networks, none of them discuss the characteristics of the data center network structures that can provide sufficient bandwidth considering the routing methods. In this paper, we evaluate the network structures constructed by setting various parameters of the Generalized Flattened Butterfly (GFB), FatTree and Torus considering the routing methods. The results show that the network constructed in a hierarchical manner and having multiple links from a node in each layer can provide sufficient bandwidth between all servers. Keywords—data center; network structure; routing method
Where we observe that helical turbulence prevails over inertial waves in forced rotating flows at high Reynolds and low Rossby numbers

We present a study of spectral laws for helical turbulence in the presence of solid body rotation up to Reynolds numbers Re~1*10^5 and down to Rossby numbers Ro~3*10^-3. The forcing function is a fully helical flow that can also be viewed as mimicking the effect of atmospheric convective motions. We test in the helical case variants of a model developed previously (Baerenzung et al. 2008a) against direct numerical simulations (DNS), using data from a run on a grid of 15363 points; we also contrast its efficiency against a spectral Large Eddy Simulation (LES) (Chollet and Lesieur 1981) as well as an under-resolved DNS. The model including the contribution of helicity to the spectral eddy dissipation and eddy noise behaves best, allowing to recover statistical features of the flow. An exploration of parameter space is then performed beyond what is feasible today using DNS. At fixed Reynolds number, lowering the Rossby number leads to a regime of wave-mediated inertial helicity cascade to small scales. However, at fixed Rossby number, increasing the Reynolds number leads the system to be dominated by turbulent energy exchanges where the role of inertial waves is to weaken the direct cascade of energy while strengthening the large scales. We find that a useful parameter for partitioning the data is NC = ReRo = U2rms/[nu Omega], with Urms, nu and Omega the rms velocity, the viscosity and the rotation rate respectively. The parameter that determines how much the energy cascade is direct or inverse in which case the cascade to small scales is predominantly that of helicity is linked to Ro.
L'anglo-normand : variété insulaire, ou variété isolée ?

La tradition veut que l'anglo-normand (surtout, tardif) soit une variete isolee du francais medieval, d'ou certaines particularites. Apres la « perte » de la Normandie en 1204, la noblesse anglo-normande aurait connu une existence a part. Il n'en est rien et tout tend a montrer que les contacts n'ont pas du tout cesse apres 1204. C'est ainsi que le lexique de l'anglo-normand est en grande partie du francais, meme si (dans certains domaines) la variete anglo-normande semble mieux documentee.
Comparative Analysis of EIA System between Paraguay and South Korea

Abstract uAI i a´D  O n £> Ao;( ie+7  O n £> ¸ * iNeÂ1E &a A²I Þi ¨´D  O n £>(o A×yo ¹×j(S×x%xx ExO;N EdII Þ E ¨´D  O n £>( A O n8±×j5ý³;i uAI A²× I ÝI5FSNPG3FGFSFODFT 503>³::×n Ii5037  AD c³:; `D  O n £>D³d8 ¨ a ai uAI A²× I Ýn A² D±(ý±¹ 5 E>O i;iOi uAI A²×&*4> %K:Ýy A3*. "3N E% AP ai± ¯: EIA, TOR, RIMA, Paraguay Corresponding Author: Sang-Pyo Hong, Department of Environmental Engineering, Cheongju University, 298 Daeseongro, Cheongju,Chungbuk, 360-764, Republic of Korea Tel : 82-43-229-8576 Fax : 82-43-229-8432 E-mail : sphong@cju.ac. kr* The authors wish to acknowledge the two anonymous peer-reviewers for their valuable comments on the draft of this paper.