Miracle-dz/UniFAR-FTUs huggingface dataset:
Dietary life assistance for the university students by utilizing the meal prepaid card data

Recently, diversification of eating habits has been advancing in Japan. In such a situation, issues have been raised on the eating habits of younger generation, especially university students. The purpose of our study is to provide dietary life assistance to the university students by developing a system to locate students with unbalanced diet. Meal purchase patterns of university students are analyzed by utilizing purchasing history of the meal prepaid card users. The data are provided by a university cooperative association who runs university cafeterias. The number of the users analyzed are 2,458 (male 1,591 and female 867). The procedure of the analysis is as follows: k-means clustering is applied to the combination of food to generate 22 food clusters. Next PLSA is applied for clustering the customers to generate 8 customer clusters. For these two clusters, Bayesian network is applied to visualize correlation among factors. Based on this visualization and extraction of characteristics through clustering, customer clusters with eating habit problems are detected. Specific proposals for dietary life improvement are proposed to these clusters.
Lasioglossum (Evylaeus) frigidum sp. nov., with taxonomic notes on the allied species of L. (E.) sexstrigatum group (Hymenoptera, Apoidea, Halictidae)

Firstly L. frigidum sp.nov. is described comparing it mainly with two allied species, L. epicinctum (STRAND 1914) from Taiwan (<$ unknown) and L. smilodon EBMER & SAKAGAMI 1994 (EBMER et al. 1994) from SW. Archipelago, Japan (9 c? known), followed by some taxonomic comparisons of these and allied species. Some abbreviations: Tn = metasomal tergum n, PP = punctures, diameters in um, IS = interspaces, Fn = flagellomere n. Morphometric methods mainly follow SAKAGAMI & TADAUCHI (1965: 143) or SAKAGAMI et al. (1966: 184).
Using BIM for the Assessment of the Seismic Performance of Educational Buildings

Universidad Centroccidental Lisandro Alvarado, Venezuela, Av. Las Industrias, Barquisimeto 5001, Venezuela Pontificia Universidad Católica de Valparaíso, School of Civil Engineering, Av. Brasil 2147, Valparaíso, Chile Universitat Politècnica de Catalunya, School of Civil Engineering, Carrer de Jordi Girona, 1, 08034, Barcelona, Spain Pontificia Universidad Católica, Production Management Centre, Vicuña Mackena 4860, Santiago, Chile Universitat Politècnica de València, School of Civil Engineering, Camino de Vera s/n, Valencia, Spain
Automatic Program Transformation for Program Repair and Improving Analysis

Software bugs are not going away. Millions of dollars and thousands of developer-hours are spent finding bugs, debugging the root cause, writing a patch, and reviewing fixes [16, 60]. Automated tools such as linters, gradual type checkers, and static analyzers help drive down costs by catching bugs early and increase developer efficiency [12, 13, 19]. However, truly fixing bugs remains a predominantly manual and expensive process. Reliance on manual processes further result in fixable bugs (found by automated tools) remaining unfixed. Automatic Program Repair (APR) [44] promises to cut the costs of fixing bugs manually. Automatic program repair is hard: the prospect of automatically changing a program’s semantics can lead to intractable and undesirable behavior [50, 73]. To become mainstream, APR must produce semantically correct patches that can be trusted for automatic application to improve software. The vast majority of APR research rely on existing tests to identify bugs, validate fixes, or both [9, 38, 39, 43, 49, 50, 54, 55, 58, 63, 64, 75, 80]. Tests are appealing because they are readily available in practice, and straightforwardly indicate whether a change improves the program in question (i.e., by turning a previously failing test case into a passing one). However, reliance on tests impose several fundamental limitations to approaches that currently dominate the state of the art in APR. First, tests are inherently limited to executing single paths and may consequently miss bugs. Figure 1a illustrates the issue in a real and widelyused open source static analysis tool error-prone. The call to resolveMethod on line 3 can return NULL, leading to a possible null pointer exception on line 6. A developer committed a fix (with a test) that inserts a call to a custom error handler (checkGuardedBy, line 5). However, the very same mistake was made on lines 10–12 in the same switch statement, but remained unfixed for 18 months. Tests usually cannot identify recurring mistakes like this, and incur additional manual overhead (writing additional tests) when fixing semantically similar bugs. Second, developers avoid writing tests for certain classes of common bugs (e.g., resource leaks, Figure 1b), because triggering a resource leak could require resource-intensive
India, A shift towards new paradigm to create a sound business environment for inclusive growth

Indian have been characterized as an agrarian economy, and shown predominance of agricultural and other primary activities in the domestic production. While there contribution was very significant as compared to other sector in GDP. From the last two decade the political approach has been changed in India, and now it had been one of the leading economies, as its export composition basket have more weight of manufacturing and electronics goods, beside this Indian has been recognized one of the leading services providing economy. Indian has been shifted to create the political environment in Indian industrial sector including (SME’s) and small enterprises which has registered enormous growth. The doing business in India rank stand (132) has been improved as compared previously. However, still policy paralysis and political environment remain hurdle for the inclusive growth and remain major challenges as elucidate in the global competitiveness report mentioned that India has slip down to lower rank in 2012-13 in (59) than earlier. The paper focused on the objectivity of policy and political approach required for creating sound environment to achieve inclusive development and to address issues such as creating environment for competitiveness and efficiency to boost the economic growth.
Wechat Uses And Gartifications Among Young Malaysian Adults In Klang Valley, Malaysia

: The uses and gratifications (U&G) theory has been widely used in research related to conventional media and now the internet media and mobile platforms. In Malaysia, a number of Internet-related studies revolve around the Technological Acceptance Model (TAM) and most studies on U & G have been conducted in the U.S. and U.K., but not Asia. This study will focus specifically on WeChat, a popular instant messaging platform, to obtain information that will add to the limited research on U & G in Malaysia in the context of the internet media. WeChat was launched in China in 2011 and to date there are 500 million users in China and over 100 million outside China. WeChat was launched in Malaysia in June 2012 and currently it is used by 33% of the total number of Malaysians using instant messaging applications in Malaysia.This study on WeChat and U & G will focus on the following research questions (1) the reasons why respondents use WeChat; 2) the timeframe and duration of respondents; 3) which gratification type do respondents seek the most in using WeChat; and 4) how WeChat usage differ between male and female respondents. This research adopts the quantitative approach, using a sample size of 400 undergraduate respondents who are active We Chat users from four randomly selected private universities in Klang Valley. The research results showed that social gratification is the strongest gratification sought by respondents compared to process and content gratifications. This finding was similar to other social media research done earlier. Results also showed that majority of respondents used WeChat because their friends and family also used it. Most of the respondents have been using We Chat between one to two years. The respondents spent an average of 30min - 1hour (67.75%) on WeChat per-day. There was no statistically significant gender-related differences in WeChat usage and gratifications .
Economic Policy Papers

This study is based on the ratings of Cyprus given by a sample of tourists visiting the island during the year 2005. The purpose of this study is to investigate how various respondent and travel characteristics, such as age, place of overnight stay, accommodation type and education level as well as the ratings given to different aspects of the Cypriot tourist product, such as accommodation, restaurants, natural/built environment and infrastructure, affect tourists’ overall rating of Cyprus, how Cyprus compares to other destinations in terms of value for money and tourists’ expectations, as well as the probability that tourists will repeat their visit to Cyprus. A major conclusion that can be drawn is that while the majority of tourists give a high rating for their overall experiences in Cyprus, declare that their stay on the island exceeds their previous expectations and offer a high probability of repeating their trip in the future, at the same time rate Cyprus as worse compared to other destinations in terms of value for money. Consequently, although Cyprus is considered to be an expensive destination for what it offers compared to others, tourists’ overall stay on the island turns out to be better than what they expected and there is a great interest in returning to Cyprus in the future. From the econometric results, it appears that tourists are more likely to be satisfied with their overall stay in Cyprus, if they are content with safety and security on the island, hospitality, the variety of experiences and the diversity in terms of the cultural and natural environment. Tourists’ country of usual residence and area of overnight stay in Cyprus significantly affect the probability of satisfaction with overall stay and of repeating the visit, as well as the probability that tourists will find Cyprus better than what they expected or more expensive compared to other destinations.
Sentimental Analysis on Live Tweets

Social networking has become a very powerful communicative tool among internet users. Apart from communication millions of users share their opinion on everyday issues. Twitter, for instance, offers multiple mechanisms for digital communication, including drop-down commenting and scheduled support group discussion. The event based discussion on twitter can be analysed to find the opinion of people towards a particular event. Sentimental analysis can be performed on tweets to derive a conclusion about people’s opinion. The main problem in the existing approaches are, in the event based discussion, only static data is used for analysis of public emotions which results in incomplete analysis of an event . The dynamic live tweets are also equally important on live events like sports, election and so on. Thus the proposed systems uses dynamic unused raw data existing in twitter and produces the polarity of live comments using the classification algorithm. And also this paper takes into account, the sarcastic tweets on twitter in particular, with measurable data, available to public domain .
Birds of the Ailao Mountains, Yunnan province, China

The Ailao Mountains are located in central Yunnan, China, forming the border between the two main physiographic regions of Yunnan: to the west is a region of deep valleys and high mountains whilst to the east the Yunnan–Guizhou plateau is a hilly region surmounting a c.2,000 m high plateau (Wang et al. 2000). They are also the interface between subtropical and mid-tropical vegetation in Yunnan (Pang et al. 1988), and the vegetation changes both with altitude and the aspect of the slope (Table 1). At higher altitudes, the Ailao Mountains hold the largest and most continuous subtropical evergreen broadleaved forests (over 45,000 ha) in China (Wu et al. 1987, Pang et al. 1988). Generally the climate is subtropical montane; warm, and humid at lower altitudes (Wang et al. 1988). Annual rainfall reaches a maximum of 1,700 mm at the highest altitudes, with a minimum of 700 mm in the valleys. Over 85% of rainfall occurs between May and October (Wang et al. 1988). Maximum and minimum monthly mean temperatures at the highest altitudes are 10–17°C and 0–6°C respectively, and the annual mean temperature is below 12°C, whilst in the valleys the monthly mean temperature exceeds 22°C for five months and stays above 10°C throughout the year (Wang et al. 1988). The Ailao Mountains are part of the Indo-Burma biodiversity hotspot and are recognised as a high priority area for biodiversity conservation (Olson & Dinerstein 1998, Myers et al. 2000, Mittermeier et al. 2005). For our purposes, the Ailao Mountains are defined as running from 23.82°N to 24.94°N, bounded by the Red River valley on the eastern slope and the Zegan River valley on the western slope (Figure 1). There are two nature reserves: the Ailaoshan National Nature Reserve (67,700 ha) at higher altitude, and the Konglonghe Municipal Nature Reserve (7,360 ha) at lower altitude on the eastern slope; both are recognised as Important Bird Areas (Chan et al. 2009). Moreover, the eastern slope of the Ailao Mountains is one of the most important migration routes in western China. Wei et al. (1988) compiled the first bird inventory of 322 species for the Ailao Mountains, based on a 40-day field survey between 18 October and 26 November 1984, bird specimen collections and several studies between 1976 and 1983 (Wang 1986, Wang & Chen 1987, Wang & Wei 1987, Wang & Wu 1987, Wei et al. 1987). No systematic surveys have been carried out since then, apart from separate studies in Xujiaba (on the montane crest) (Wang 1989, Wang 1990, Wang et al. 2000, Liu & Han 2008), the Dazhongshan area (Wei et al.1994), Jinshanyakou Bird Banding Station (Zhao et al. 2014) and the Konglonghe Municipal Nature Reserve (Han et al. 2009). The current status of most bird species in the Ailao Mountains is therefore poorly known.
DSDV AND AODV PROTOCOLS PERFORMANCE IN INTERNET OF THINGS BASED AGRICULTURE SYSTEM FOR THE WHEAT CROP OF PAKISTAN

Agriculture is considered as the economic backbone of developing countries. Smart agriculture system can be implemented by adopting innovative technologies. The competition in the international market depends on the rate and production of agriculture yield. Future is all about the Internet of Things (IoT) where each device is going to be smart and interconnected with each other through available network. These IoT based devices are intelligently controlled and accessible across the world. The purpose of this research work is to introduce the crucial role of IoT in the field of agriculture, and its viable application make a smarter agriculture system of Pakistan. The farmers are still using the traditional methods to look after their crops. Traditional methods and lack of technology eventually decrease the production rate gradually. To enhance the production of crops, in this paper we proposed the IoT based model for the real time agriculture systems of Pakistan. By employing this model in agriculture system, our farmers will be aware of their crop conditions irrespective of their locations. The key feature of this model is that it experiences less congestion at the sink node, so the farmers get an accurate sensing information about their crops. This model also have the solar energy harvesting system to cope with the energy issue of sensing nodes. In this paper two well-known routing protocols namely as (a) Destination Sequenced Distance Vector (DSDV) and, (b) Ad hoc On Demand Distance Vector (AODV) are deployed in the grid topology of our proposed IoT based agriculture environment of Pakistan to get the accurate sensing information. Moreover, the generated results revealed less congestion in proposed system in terms of Packet dropped ratio (Pdr).
A Manual of Laboratory and Diagnostic Tests

Prepare your students to deliver safe, effective, and informed care for patients who are undergoing diagnostic tests and procedures with the Ninth Edition of A Manual of Laboratory and Diagnostic Tests. Organized the way a nurse thinks by specimen and function this proven book describes an extensive array of tests for diverse populations, providing step-by-step guidance on correct procedure, tips for accurate interpretation, and expert information on patient preparation and aftercare.Featuring additional tests, updated reference values, and coverage of the latest advances in CT scans, nuclear scans, and genetics, this edition maintains the organization and coverage that have made it the ideal reference and point-of-care guide for educational and practice settings.This Ninth Edition is accompanied by a complete online teaching and learning package that includes case studies for application, a wide range of in-class activities and assignments, and Blackboard and WebCT cartridges for course management. Prepare for practice with tests grouped according to specimen, function, and test type (blood, urine, stool, cerebrospinal fluid, etc.). Learn vital information to keep in mind when implementing tests with Clinical Alerts that highlight critical safety information. Easily find the test you re looking for even if you don t know the exact name with a presentation that supports the way a nurse thinks. Master key information with helpful tips, inclusion of both conventional and SI units, and coverage of clinical implications for increased and decreased values. "
A New Fangled Seed Construction Algorithm for Text Clustering

: Clustering is a division of data into groups of similar objects, each group called cluster, consists of objects that are similar between themselves and dissimilar to objects of other groups. In other words, the goal of a good document clustering scheme is to minimize intra-cluster distances between documents ,while maximizing inter-cluster distances. A distance measure(or, dually, similarity measure)thus lies at the heart of document clustering. Text Clustering is a category in clustering where the information which is logically similar is combined together. In the previous approaches K-means algorithm was used. Fore coming is the Affinity Propagation algorithm. This is prevailing as an important algorithm in novel semi supervised text clustering. Affinity Propagation algorithm has been enhanced by merging the concept of constructing seeds and called as Seeds Affinity Propagation. In this algorithm Triset computation is used. In proposed approach Jaccard Based Similarity index is used where the clustering quality is increased on adopting this index. Result shows that using our proposed algorithm yields higher F-measure when compared with K-Means and original AP algorithm ,the execution time is also faster moreover provides robustness.
Posibilidades de tratamiento en la atrofia espinal infantil

Se revisan los nuevos tratamientos de la atrofia muscular espinal (AME) producida por delecion del gen SMN1. Se describen las diferentes posibilidades de incrementar la proteina SMN, de su actividad y persistencia en el organismo. Farmacos neuroprotectores, como olesoxime y riluzol, y farmacos que actuan epigeneticamente, como inhibidores de histona deacetilasa, han mostrado cierto efecto positivo en fases preclinicas pero no han conseguido eficacia en los ensayos clinicos. Podrian proporcionar en un futuro un beneficio anadido a otros farmacos modificadores geneticos. Los mayores cambios en estudios de modelos del raton SMA y en fases clinicas se han encontrado con oligonucleotidos antisentido que modifican el splicing del gen SMN2, y se espera que mejoren en el futuro proximo. Recientemente se ha aprobado el nusinersen, un metoxietilo fosforotioato-oligonucleotido antisentido, para uso en pacientes con AME de tipo I una vez demostrada su eficacia en pacientes en el ensayo en fase 3. Se revisan los resultados de este farmaco. Estan en marcha modificaciones de oligonucleotidos antisentido que amplien la liberacion en el sistema nervioso y en tejidos perifericos. Hay datos que sugieren eficacia de la terapia genica introduciendo el gen SMN1 mediante virus adenoasociados, actualmente en fase clinica 1. Una constante en estos nuevos tratamientos es que los resultados se optimizan en las etapas precoces de la enfermedad y, mejor aun, en estadio presintomatico. Se subraya la importancia de los cuidados generales optimos, especialmente nutricionales y respiratorios, para conseguir los mejores resultados con las nuevas terapias.
“Impacts of acidification on biological, chemical and physical systems in the Mediterranean and Black Seas”

The Workshop took place from 1 to 4 October 2008 at the Hotel Royal Westminster in Menton, within walking distance of the border separating France from Italy. Seventeen researchers from ten countries (see list at the end of this volume) attended this exploratory meeting at the invitation of CIESM. Frédéric Briand, Director General of the Commission, did warmly welcome the participants, reminding them that the workshop had been scheduled deliberately on the eve of the 2 SCOR International Conference on 'Ocean in a high CO2 World' due to open in Monaco on the following week so as to draw attention to this issue for the Mediterranean Sea, a region where the impact of acidification is still hardly known. A challenge fo r the participants would be to draw a much needed inventory of major gaps in, and priorities for, acidification research within the specific regional context. Professor Briand then introduced Professor Aysen Yilmaz, Chair of the Committee on Marine Biogeochemistry, who presented an overview of the scientific background and key objectives of the meeting, which would seek to take optimal advantage of the original mix of chemical and biological expertise brought along by the invited participants.