Miracle-dz/UniFAR-FTUs huggingface dataset:
UNIBA at EVALITA 2014-SENTIPOLC Task: Predicting tweet sentiment polarity combining micro-blogging, lexicon and semantic features

English. This paper describes the UNIBA team participation in the SENTIPOLC task at EVALITA 2014. We propose a supervised approach relying on keyword, lexicon and micro-blogging features as well as representation of tweets in a word space. Our system ranked 1st in both the subjectivity and polarity detection subtasks. As a further contribution, we participated in the unconstrained run, investigating the use of co-training to automatically enrich the labelled training set. Italiano. Questo articolo riporta i risultati della partecipazione del team UNIBA al task SENTIPOLC di EVALITA 2014. L’approccio supervisionato che abbiamo proposto affianca alle keyword la rappresentazione semantica dei tweet in uno spazio geometrico, l’utilizzo di feature tipiche dei micro-blog e di dizionari per la definizione della polarita a priori del lessico dei tweet. Abbiamo sperimentato, inoltre, l’uso del co-training per l’arricchimento del dataset tramite annotazione automatica di nuovi tweet.
The impact of rhetoric and reality on community anticipation of risk in the development of multi-purpose services (MPS) : A grounded theory study

better health service.Conclusion:This research provides an insight into the perceptions of the rhetoric and reality of community member involvement in the process of developing multi-purpose services. It revealed a grounded theory in which fear and trust were intrinsic to a process of changing from a traditional hospital service to the acceptance of a new model of health care provided at a multi-purpose service.
COMPARATIVE STUDY OF GOVERNMENTS’ REASONS/MOTIVATIONS FOR ADOPTING PUBLIC-PRIVATE PARTNERSHIP POLICY IN DEVELOPING AND DEVELOPED ECONOMIES/COUNTRIES

Over the last couple of decades, governments in developing and developed economies/countries have shown interest in the public-private partnership (PPP) policy. Different governments have different reasons for adopting the PPP concept. This paper aims to investigate the differences and similarities on the reasons for implementing PPP in develop-ing and developed economies/countries, represented by Ghana and Hong Kong. An empirical questionnaire survey was conducted with relevant experienced practitioners in both jurisdictions. One hundred and three completed questionnaires were returned for analysis. The results from the non-parametric test show five reasons with significant differences. Reasons related to the economic and social benefits of PPP are ranked higher in Ghana, whereas efficiency and quality service related reasons are ranked higher in Hong Kong. Further, two reasons for adopting PPP emerged as very important in both jurisdictions; these include: “promotes quick delivery of public infrastructure projects” and “allows for shared risks”. The outputs of this study contribute to the international best practice framework for PPP. International private investors would be informed of the expectations of governments when engaging in PPP arrangement particularly in Asia and Africa.
Evaluation of Complexity Versus Performance for Turbo Code and LDPC Under Different Code Rates

Turbo codes play a major role in channel error correction schemes used in wireless communications. Turbo codes emerged in 1993 and since that time they dominate the research in error control coding together with low-density parity-check codes. Due to their remarkable performances, turbo code and low density parity check code have been accepted to a number of standards by many organizations which decide to include turbo code and low density parity check into their new standards after these codes were proven successful in a many of missions. In this paper, the calculation and comparison of performance versus complexity for those two techniques of channel coding was done. For a fair comparison, the performance and complexity should be compared together. The complexity was calculated by counting the number of clock cycles need to complete the decoding algorithm. This comparison is used as a guiding lines of using either turbo code or the low density parity check in specific communication applications, The performance comparison of turbo code and low density parity check were computed for rates 1/2 and 7/8. The complexity for the two codes were calculated for different code rates like (1/2, 1/3, 3/4, 7/8), the evaluation study concludes that the turbo code was recommended for moderate rate, while the LDPC is recommended for higher code rates. codes have prove that the LDPC beat turbo code in terms of error floor and performance for the higher code rates. In this paper, we analyze the decoding algorithm for turbo code and calculating its complexity under different code rates, and then the same scenario was applied for the LDPC to calculate its complexity and performance for different code rates. A similar work was made at Stravanger University (4), but the comparison was made for rate 1/2 only, in this paper a complete comparison of turbo code and LDPC was made for different code rates. Also, because the complexity of LDPC is a function of code rate, the complexity was studded for different code rates. It is concluded from this research work that the Turbo code is recommended for moderate code rate because of its better performance, while the LDPC is recommended for higher code rates because of its better performance besides lower complexity compared with turbo code.
Therapeutic Decisions Making System Using Data Mining Techniques: A Review

Medical prognosis has played an increasing role in health, namely in the critical care medicine. These factors have induced the medical community to take a more active interest in developing models for mortality prediction based on Artificial Intelligence (AI) techniques [1]. that make possible the doctors pro-active action. In this context, the existence of large Databases (DB) containing Intensive Care Units (ICU) clinical information, motivate and enable the application of Data Mining (DM) techniques, in a Knowledge Discovery Database process (KDD). to induce prediction models of organ failure in a much more efficient way than other approaches (e.g. Logistic Regr es sion) [2]. Clinical guidelines carry medical evidence to the point of practice. As evidence is not always available, many guidelines do not provide recommendations for all clinical situations encountered in practice. We propose a decisions making system for exploring physicians' therapeutic decisions with data mining techniques to fill knowledge gaps. The various data mining techniques are explored in this paper for the proposed system
Nonmagnetic metamaterial landscapes for guided electromagnetic waves

Transformation optics provides a geometry-based tool to create new components taking advantage of artificial metamaterials with optical properties that are not available in nature. Unfortunately, although guided electromagnetic waves are crucial for optical circuitry, transformation optics is not yet compatible with two-dimensional slab waveguides. Indeed, after determining the propagation of confined waves along the waveguide with a two-dimensional coordinate transformation, the conventional application of transformation optics results in metamaterials whose properties are insensitive to the coordinate perpendicular to the waveguide, leading to bulky, and therefore impractical, designs. In this contribution, we formulate an alternative framework that leads to feasible coordinate-based designs of two-dimensional waveguides. To this end, we characterize a guided transverse-magnetic light mode by relevant electromagnetic equations: a Helmholtz equation to account for wave propagation and a dispersion relation to impose a continuous light profile at the interface. By considering how two-dimensional conformal transformations transform these equations, we are able to materialize the coordinate-designed flows with a nonmagnetic metamaterial core of varying thickness, obtaining a two-dimensional device. We numerically demonstrate the effectiveness and versatility of our equivalence relations with three crucial functionalities, a beam bender, a beam splitter and a conformal lens, on a qualitative and quantitative level, by respectively comparing the electromagnetic fields inside and the transmission of our two-dimensional metamaterial devices to that of their three-dimensional counterparts at telecom wavelengths. As a result, we envision that one coordinate-based multifunctional waveguide component may seamlessly split and bend light beams on the landscape of an optical chip.
Farmers' behaviors regarding the decrease in the area of cotton plantations of Turkey; Izmir case

The main objective of this study is to determine the economical and social reasons of farmers’ behaviors concerning the decrease in the area of cotton plantations in Izmir, Turkey. To do so, 84 cotton growers were interviewed in the province of Izmir.According to the results of the study, the cost variable in the cotton farms investigated was calculat ed as: €1,446.6 ha -1 ; gross margin, €524.4 ha -1 , and the yield, 4 ,018 kg ha -1 . In the studied area, 44 % decrease in the areaofcottonplantationswasobservedin2006comparedtotheyear2000.Accordingtothefarmers,someofthemost important reasons for the decrease in the area of cotton plantations are the decrease (55%) in the producer prices and theincreaseinthecosts(36%)ofgrowingcotton.Thepossibilityofgivingup/notgivingupcottonproductionisaffect ednegativelybythesocialvariableoftheeducationlevelofthefarmer,butthecottongrowingexperienceofthefarmer, and the farmer’s family size, affect the possibility positively.As for the structural /economical variables, farm size neg atively affects the possibility but satisfaction from premiums and gross margin have positive effects . Farmers also demand a 90 % increase in the premiums and state that they will give up growing cotton unless there are enough subsi dies. Inthissituation,itturnsoutthattopreventdecreasesintheareaofcottonplantations,itisnecessarytolowerpro duction costs and provide price stability, along with long term policies consistent with other crops, through which sub sidies are determined prior to the season. Additional key words: cotton, farmers’ behaviors, gross margin analysis, logit model.
Pump it Out! The Effect of Transmitter Activity on Content Propagation in Social Media

People share billions of pieces of content such as news, videos, and photos through social media every day. Marketers are interested in the extent to which such content propagates and, importantly, which factors make widespread propagation more likely. Extant research considers various factors, such as content attributes (e.g., newness), source traits (e.g., expertise), and network structure (e.g., connectivity). This research builds on prior work by introducing a novel behavior-focused transmitter characteristic that is positively associated with content propagation in social media: activity, or how frequently a person transmits content. Evidence for this effect comes from five studies and different paradigms. First, two studies using data from large social media platforms (Twitter and LiveJournal) show that content posted by higher-activity transmitters — whom we refer to as “social pumps” — propagates more than content posted by lower-activity transmitters. Second, three experiments explore the mechanism driving this effect, showing that social media users receiving content from a social pump are more likely to retransmit it (a necessary behavior for achieving aggregate-level propagation) because they infer that content from a social pump is more likely to be current, and therefore more attractive as something to pass along through retransmission.
Performance Management by Causal Mapping: An Application Field of Knowledge Management

As implied by the performance management (PM) concept, modern corporate manage- ment has to focus on cause-and-effect relationships underlying a firm´s financial performance generation. To determine the causes of financially desirable effects, subject-bound experiences and knowledge of employees, called tacit knowledge, should be realised. For this, knowledge management (KM) offers various elicitation techniques to reveal corporate-specific success factors (SFs) of financial performance generation from the corporate experts´ implicit knowledge. The identified factors have to be organised within a network of cause-and-effect relationships. In this framework, PM can apply the instrument of mapping to structure the individually revealed knowledge, to aggregate and visualise it for the entire company. For a valid representation of the causal relationships, the subjective bias arising within the mentioned process has to be minimised. In the literature, a variety of mapping methods can be found that differ in their approaches and their level of significance. As such a method, causal mapping will be presented in this paper. Forproviding intersubjectivity, thedecision-making trail and evaluation laboratory (DEMATEL) as a multi-criteria approach will be debated in the context of mapping as a research field.
Investment-Specific Technology Shocks and Consumption

Current business cycle models systematically underestimate the correlation between consumption and investment. One reason for this failure is that a positive investment-specific technology shock generally induces a negative consumption response. The objective of this paper is to investigate whether positive consumption responses to investment-specific technology shocks can be obtained in a modern business cycle model. We find that the answer to this question is yes. With a combination of nominal rigidities and non-separable preferences, the consumption response is positive for general parameterisations of the model.
Description Domain ELEXIR observations Initiator Negotiator Hypothesis structure ( sub ) goals Planner PKS Description Domain Supporter plan

This paper presents a framework for integrated plan recognition, goal reasoning, and planning, to produce cooperative behaviour for one agent to help another agent. By observing an “initiator” agent performing a task, the plan recogniser hypothesises how a “supporter” agent could proactively help the initiator by proposing a set of subgoals to be achieved. A lightweight goal reasoning and negotiation process mediates between the two agents to produce a mutually agreeable set of goals for the supporter. The goals are passed to a planner which builds plans to satisfy the goals. The approach is demonstrated in a series of experimental scenarios.
Self-* Pulse Synchronization for Autonomous TDMA MAC in VANETs

The problem of local clock synchronization is studied in the context of media access control(MAC) protocols, such as time division multiple access (TDMA), for dynamic and wireless ad hoc networks. In the context of TDMA, local pulse synchronization mechanisms let neighboring nodes align the timing of their packet transmissions, and by that avoid transmission interferes between consecutive timeslots. Existing implementations for Vehicular Ad-Hoc Networks (VANETs) assume the availability of common (external) sources of time, such as base-stations or geographical positioning systems (GPS). This work is the first to consider autonomic design criteria, which are imperative when no common time sources are available, or preferred not to be used, due to their cost and signal loss. We present self-* pulse synchronization strategies. Their implementing algorithms consider the effects of communication delays and transmission interferences. We demonstrate the algorithms via extensive simulations in different settings including node mobility. We also validate these simulations in the MicaZ platform, whose native clocks are driven by inexpensive crystal oscillators. The results imply that the studied algorithms can facilitate autonomous TDMA protocols for VANETs.
Towards Food Service Sustainability in Suburban Environments by Optimally Locating Shared Anaerobic Digester Units

Anaerobic digestion is an effective method for reducing food waste at the consumer level. Drawbacks associated with this strategy include high construction costs for multiple digester units and limited public awareness of the method’s commercial potential. Given the large scale problem of food waste, an approach establishing community partnerships between local businesses and primary schools is offered to combat the problem of food waste. Optimizing the placement of shared digester units enabling utilization by multiple stakeholders is the suggested mitigation method. This research explores application of the p-median problem to determine the set of optimal site(s) for shared anaerobic digester units among restaurants in a suburban setting, using schools as potential digester sites. The p-median problem was applied to determine optimal sites for locating these facilities in the study area. The p-median problem seeks to locate p facilities at i locations while minimizing the total transportation cost necessary to satisfy customer demand, where each customer is supplied from the closest facility. Five scenarios were evaluated, including runs with a p equal to 1, 5, 10, 25 and 50 facilities respectively, using an estimated acceptable transportation distance of 250 meters between waste producers and digester facilities. Results were evaluated in terms of the number of producer locations serviced relative to the p number of digester facilities desired. This application demonstrates how the pmedian problem can serve as a useful planning tool, providing options to planners interested in effective facilities placement for studies aimed at food waste reduction.
National, Regional, and State-Level Estimates of Returns to Scale in the Expanded Food and Nutrition Education Program

The effectiveness of the Expanded Food and Nutrition Education Program in achieving its goals at the national, regional, and state level is unknown. Using US Department of Agriculture (USDA) data from all states and territories for the years 2000-2006, the impact of program and participant characteristics and returns to scale on the three outcome indicators used by the USDA are estimated. Program and participant characteristics do not seem to be as important as the amount of money spent on the program. Generally speaking, there are constant and increasing returns to scale for two of the three federal outcome indices for most states but not all.
Antimicrobial Resistance Profiles of Escherichia Coli Isolated from Diarrheic or Healthy Cats

The number of pets has increased substantially in modern society and attention is increasingly devoted to pet welfare. The aim of the present study is to investigate the occurrence of antimicrobial resistance in Escherichia coli isolates present in cat intestinal micro biota. A hundred-ninety E. coli isolates from diarrheic (n=19) and healthy (n=21) cats from northwest of São Paulo State, Brazil were examined for resistance to 16 antimicrobial drugs. The predominantly observed resistance was to tetracycline (30.5%), ampicillin (20.0%) and cotrimoxazole (17.9%) among the isolates from healthy cats and to cephalothin (42.1%), tetracycline (20.0%) and ampicillin (15.8%) among the isolates from diarrheic cats. A moderate multidrug-resistance was found among 17.8% and 8.4% of the isolates from healthy and diarrheic cats, respectively. The E. coli isolates from healthy cats may act as a reservoir of resistance genes. To support the development of antimicrobial usage policies, regular updates on the status of resistance to antimicrobial agents used in veterinary medicine are needed.
Forecasting Financial Assets Volatility Using Integrated GARCH-Type Models: International Evidence

In this article we compare the forecasting ability of two symmetric integrated GARCH models (FIGARCH & HYGARCH) with an asymmetric model (FIAPARCH) based on a skewed Student distribution. Each model is used for forecasting the daily conditional variance of 10 financial assets, for a sample period of about 18 years. This exercise is done for seven stock indexes (Dow Jones, NASDAQ, S&P500, DAX30, FTSE100, CAC40 and Nikkei 225) and three exchange rates vis-a-vis the US dollar (the GBP- USD, YEN-USD and Euro-USD). Results indicate that the skewed Student AR (1) FIAPARCH (1.d.1) relatively outperforms the other models in out-of-sample forecasts for one, five and fifteen day forecast horizons. Results indicate also, no difference for the AR (1) FIGARCH (1.d.1) and AR (1) HYGARCH (1.d.1) models since they have the same forecasting ability.
Molecular approaches towards assessment of cyanobacterial biodiversity

Cyanobacteria, a diverse group of photosynthetic prokaryotes, often play central roles in carbon and nitrogen assimilation which makes their environment productive. Despite their significant agronomic values, biodiversity assessment and conservation of these important microbes have not been given much attention by researchers. This review tries to bring together the important aspects of molecular approaches being used for cyanobacterial biodiversity assessment. Molecular approaches have been divided into 2 classes: PCR independent and PCR based approaches. While the former includes guanine plus cytosine (G+C) content, nucleic acid re-association and hybridization and DNA microarrays, the latter basically uses DNA cloning and sequencing, DGGE (denaturing gradient gel electrophoresis), TGGE (temperature gradient gel electrophoresis), SSCP (single strand conformation polymorphism), RFLP (restriction fragment length polymorphism), ARDRA (amplified ribosomal DNA restriction analysis), T-RFLP (terminal restriction fragment length polymorphism), RISA (ribosomal intergenic spacer analysis), ARISA (automated ribosomal intergenic spacer analysis) and RAPD (random amplified polymorphic DNA). Molecular assessment of cyanobacterial biodiversity frequently uses markers like 16S rDNA, phycocyanin locus, nif gene, rpo gene, ITS region etc. This article examines and compares various conventional and modern methods and their short comings, if any. It attempts to provide a general overview of biodiversity assessment, molecular techniques and markers used for biodiversity assessment and also recommends combinatorial approach with different molecular markers. It is likely to improve the degree of resolution and provide as possible the broadest picture and indepth information about biodiversity documentation.
Analyzing for measure characteristics of nash-sutcliffe efficiency type indicators used for model validation

The validation of simulation model is commonly quantified by various goodness-of-fit indicators. The selection and use of specific goodness-of-fit indicators and the interpretation of their results can be a challenge for even the most experienced evaluators since each indicator may put different emphasis on different types of simulated and observed behaviours. In this paper, first of all, two goodness-of-fit indicators calculated on weighted errors are developed, presented and recommened, which are more suitable for evaluating simulation model compared with high and low magnitude within observed data respectively. Then, the specific measure characteristics (that is, which part of the simulated and observed datasets most influences the various indicators) of several Nash-Sutcliffe efficiency (NSE) type indicators is analyzed and compared through two hypothetical examples using a simple observed and simulated datasets. Finally, some misunderstanding and ambiguity is corrected and clarified for measure characteristics of NSE type indicators.