Miracle-dz/UniFAR-FTUs huggingface dataset:
Priority Criteria and Alternatives for University Business Incubators in the Entrepreneurial Process in Mexico (Priorytetowe kryteria i alternatywy stosowane przez akademickie inkubatory przedsiebiorczosci w procesie przedsiebiorczym w Meksyku)

The Schumpeterian theory of economic development establishes the innovation process as a key factor for entrepreneurship. Nevertheless, not every entrepreneur exercises innovation and not every innovation leads to entrepreneurship. University Business Incubators (UBIs) have been considered as the main factor for entrepreneurial process in which if innovation takes place, the perspective of economic success becomes wide open. Currently, UBIs are typified and considered around the world as guides in the process of entrepreneurship; one of their objectives is the creation of startups that can eventually consolidate in the market. The aim of this work is to identify by means of the Analytic Hierarchy Process (AHP) the priority of UBIs performance criteria on the basis of the main levels of impacts the litera- ture remarks on: a) economic action, b) National Development Plan and/or c) scientific action. These criteria are related with four characteristic UBIs functions: i) provision of means of production, ii) strengthening entrepreneurship culture, iii) bonding with the mar- ket to generate a base of future firms, and, iv) creating pull effect. The hypothesis of this work is that UBIs classification not only allows for identifying their main characteristics but it also points toward a normative application of criteria and alternatives of performance, in order to reach the objective of creating and fostering solid and stable enterprises, no matter the sponsoring university characteristics. We tested it by analyzing the three most important Mexican UBIs. The results show that although the analyzed UBIs are a specific type of business incubators, their criteria and alternatives of performance differ among them.
Syntactic pattern recognition of ECG for diagnostic justification

A novel hybrid structural-parametric model for ECG diagnostic justification is presented in the paper. In order to distinguish between specific subclasses of heart dysfunction phenomena both grammars and automata are enhanced with a formalism of dynamic programming. It allows one to construct a system, which is feasible for aiding a process of teaching and evaluating medical students' diagnostic reasoning in the area of electrocardiography.
EFFECTS OF WEATHER-INDEX INSURANCE: THE CASE OF SMALLHOLDER MAIZE FARMERS IN NORTHERN GHANA

The study investigates the effect of weather-index insurance on intensity of fertilizer use and yields among 230 smallholder maize farmers in Northern Region of Ghana. Out of the total sample of selected farmers, about 35% purchased the insurance. Using an endogenous treatment regression model, the study showed that weather-index insurance purchase increased the intensity of fertilizer use but did not have a significant effect on maize yield. Past experience of crop failure due to drought, livestock ownership as well as the total area of land owned explained weather-index insurance purchase in the study area. Based on the results of this study, the Government of Ghana can use weather-index insurance as a policy tool to increase the use of fertilizer by smallholder maize farmers.
Synthesis of Thinned Concentric Circular Antenna Arrays Using Modified TLBO Algorithm

Teaching-learning-based optimization (TLBO) algorithm is a new kind of stochastic metaheuristic algorithm which has been proven effective and powerful in many engineering optimization problems. This paper describes the application of a modified version of TLBO algorithm, MTLBO, for synthesis of thinned concentric circular antenna arrays (CCAAs). The MTLBO is adjusted for CCAA design according to the geometry arrangement of antenna elements. CCAAs with uniform interelement spacing fixed at half wavelength have been considered for thinning using MTLBO algorithm. For practical purpose, this paper demonstrated SLL reduction of thinned CCAAs in the whole regular and extended space other than the phi = 0° plane alone. The uniformly and nonuniformly excited CCAAs have been discussed, respectively, during the simulation process. The proposed MTLBO is very easy to be implemented and requires fewer algorithm specified parameters, which is suitable for concentric circular antenna array synthesis. Numerical results clearly show the superiority of MTLBO algorithm in finding optimum solutions compared to particle swarm optimization algorithm and firefly algorithm.
Sparse Recovery by Semi-Iterative Hard Thresholding Algorithm

We propose a computationally simple and efficient method for sparse recovery termed as the semi-iterative hard thresholding (SIHT). Unlike the existing iterative-shrinkage algorithms, which rely crucially on using negative gradient as the search direction, the proposed algorithm uses the linear combination of the current gradient and directions of few previous steps as the search direction. Compared to other iterative shrinkage algorithms, the performances of the proposed method show a clear improvement in iterations and error in noiseless, whilst the computational complexity does not increase.
Genetic and environmental correlations between bean yield and agronomic traits in Coffea canephora

Early identification and selection of genotypes with high yielding potential is a main breeding objective of Coffea canephora. Eighteen genotypes of C. canephora were assessed in three diverse environments over a 9-years period from 1996 to 2005. Genetic and environmental associations were assessed among 10 vegetative and five reproductive traits and yield. Genetic associations between yields over seven years and vegetative traits, except secondary branches per plant, were positive and significantly correlated with span (rG = 0.65 ** ** * * * ** *
Interactive comment on “ Online coupled r gional meteorology-chemistry models in Europe : current status and prospects ” by A . Baklanov et al

cently been covered in another article. I will therefore suggest that authors consider the article with the title “Towards a climate-de endent paradigm of ammonia emission and deposition” by Sutton et al (2013) and in particular Figure 8 plus the most central studies that have been used to construct Figure 8. This figure suggests a new approach for handling ammonia emissions in atmospheric models. This is relevant for section 4.7. 1 and section 7.2. 1, where the latter is in the chapter “major challenges and needs”.
High-use areas, seasonal movements and dive patterns of juvenile loggerhead sea turtles in the Southwestern Atlantic Ocean

Characterizing the behaviors of sea turtles and identifying high-use areas as they vary in time and space is important for conservation planning, particularly when turtles overlap with fisheries that may unintentionally harm them. Between July 2006 and March 2010, 27 satel- lite transmitters were deployed at sea on juvenile loggerheads Caretta caretta captured as bycatch in the Uruguayan and Brazilian pelagic longline fisheries operating in the Southwestern Atlantic Ocean. Tracking duration ranged from 3 to 639 d (mean ± SD: 259 ± 159 d; n = 27), during which turtles moved between latitudes of 25 to 45° S and longitudes 35 to 54° W. High-use areas for the tracked turtles were over the continental shelf and slope within the Uruguayan, Argentin- ian, and Brazilian exclusive economic zones and in adjacent international waters. Diving informa- tion was available for 5 turtles. The maximum dive depth recorded varied between 100 and 300 m. Two turtles demonstrated potential bottom-feeding behaviors by diving to depths that corre- sponded closely with the depth of the seafloor (<200 m) at their given location. The sea surface temperature encountered by tagged turtles was on average 19.8 ± 2.3°C (range: 10.2 to 28.4°C), and turtles showed an affinity for waters supporting moderate to high primary productivity levels (0.43 ± 0.89 mg m �3 chlorophyll a). Latitudinal movements varied by season and sea surface tem- perature. These findings, along with those of other studies conducted in the region, demonstrate the need to strengthen ongoing collaborative efforts between neighboring countries and other international partnerships to further the research and management of sea turtles in this area.
SPEED-ACCURACY TRADE-OFFS IN COMPUTING SPATIAL IMPULSE RESPONSES FOR SIMULATING MEDICAL ULTRASOUND IMAGING

Medical ultrasound imaging can be simulated realistically using linear acoustics. One of the most powerful approaches is to employ spatial impulse responses. Hereby both emitted fields and pulse-echo responses from point scatterers can be determined. Also any kind of dynamic focusing and apodization can be incorporated, as has been done in the Field II simulation program. Here the transducer is modeled through a set of either rectangles, triangles, or bounding lines, so that any geometry can be simulated. The response from the transducer is found by summing the spatial impulse responses from the individual elements. One of the problems in using spatial impulse responses is the abrupt changes in the responses due to the sharp transducer boundaries. Sampling the responses directly therefore have to be done at very high sampling frequencies to keep the shape and energy of the response. The high sampling frequency is unnecessary in the final signals, since the transducers used in medical ultrasound are band limited. Approaches to reduce the sampling frequency are, thus, needed to make efficient simulation programs. Field II uses time integration of the spatial impulse responses using a continuous rather than discrete time-axis. This preserves the energy in the responses and makes it possible to make sub-sample interval delays for focusing. The paper discusses the consequence of the integration for the rectangular elements that uses an approximative calculation of the spatial impulse responses. Data for the accuracy as a function of sampling frequency is given, and it is shown how a sampling frequency of 100 MHz gives similar results to using 2 GHz sampling of the analytic solution for rectangular elements. The spatial impulse responses for the triangular and bounding line elements are found analytically, and an iterative integration routine has to be used. The Romberg integration routine is used, and the accuracy versus sampling frequency for bounding line is shown. An increased accuracy is attained for the lines compared to the rectangles, but the simulation times are significantly higher. Line elements should therefore, in this implementation, only be used very close to the transducer, and if a very high precision is needed in the calculation.
Analysis and Design of E-Shaped Dual-Frequency Microstrip Antenna Based on CPSO Algorithm

In order to solve the problem of design and optimization for E-shaped patch microstrip antenna, chaotic particle swarm optimization (CPSO) algorithm was proposed to assist the procedure. First, the E-shaped antennas model was created, and then, the parameters of this antenna were adjusted according to the CPSO algorithm, and the procedure was repeated until the antennas capabilities meet the requirements. The simulation results showed that, the optimized model of such antenna, was capable of dual-frequency operation in 1.8GHz and 2.4GHz, and it was also capable of wide bandwidth, could meet the requirements very well.
The Role of Economic Factors in Profitability of Accepted Companies in Stock Exchange of Tehran

For every business enterprise, net profit or specific equity after tax deduction for a specific time period is the final result of investment activities, and financial and operational provision. These activities can result from managerial decisions and a group of extrinsic or intrinsic environmental factors. This study examines how firms’ profitability is impressed by selected economic and financial indices or what is the relationship between profitability and mentioned indices. In other words, this study probes if there is any relationship between profitability and selected indices according to general accepted theory. Moreover, the results from data analysis may lead to some useful strategies for a better profit management. In this study, the data of 42 companies were analyzed in Stock Exchange of Tehran, using an econometric framework from 2008-2011. Return on equity (ROE) and return on assets (ROA) were regarded as main profitability indices (dependent variables); while current ratio, financial leverage (long-term debt to total capital and long term debt ratio) . annual income growth and GDP were considered as independent variables. The correlations between dependent and independent variables were tested, using combined regressions. At 95% confidence level, however stockholder equity or asset return is regarded as the dependent variable; the results show direct and significant correlation between liquidity (current ratio) and profitability of the firms. Maybe the most important reason for that is growing inflation rate in Iran which causes high rise of basic products’ prices such as manufacturing raw materials and machinery in recent years. When asset return is regarded as profitability criterion, it is concluded that there is a negative and significant correlation between financial leverage and profitability at 90% confidence level.
OCCURANCE AND CAUSES OF INSOMNIA IN YOUTH OF BAHAWALPUR DIVISION OF PAKISTAN

Insomnia is a globally occurring sleep disorder, affecting specially the youth and more than 30 % of the adults complain to have at least few of the symptoms of sleeplessness. The objective of this study was to highlight the occurrences and basic causes of insomnia in both male and female youth of Bahawalpur (Pakistan). This survey base study was conducted by random circulation of specifically designed questionnaires among a sample size of 500 individuals (250 of each gender) having age in between 16-25 years. The questionnaires contained various questions regarding the occurrences, types and fourteen basic causes of insomnia which were formatted in self explanatory mode. SPSS was used to analyze the data obtained after taking back of questionnaires from individuals. The results indicated that the occurrences and wariness of insomnia was quite high in males (49.2%) as compared to females (34.19%). Similarly, transient insomnia was the principal types of insomnia in both males (63.10%) and females (78.70%). However, stress/anxiety (65.6%) was found to be the leading cause of sleeplessness while excessive use of mobile/internet, uncomfortable sleep environment and unpleasant noise affected above 40% of youth. Sleeplessness in youth warrants social and clinical attention and future research should need to be conducted to explore and resolve sleep problems in youth.
Overload and exhaustion: Classifying SNS discontinuance intentions

Abstract Social networking sites (SNS) have transformed the communication systems; along with its positive effects, maladaptive usage of SNS brings some adverse outcomes too. The current study investigates the adverse impact of SNS usage. It focuses on social overload, information overload, and SNS exhaustion resultants of maladaptive usage causing dissatisfaction and regrets influencing the customer continuation intentions. Stressor-Strain-Outcome (SSO) framework is adopted in this study to investigate the antecedents of user intentions to discontinue the SNS usage. In the proposed research model, stressors, strains, and outcome are empirically examined with data collected from 505 SNS users. Findings based on statistical analysis show that psychological and behavioral alterations caused by maladaptive usage force users to discontinue the SNS usage due to dissatisfaction and regret caused by SNS usage. The excessive usage cause social overload, information overload, and SNS exhaustion source to dissatisfaction and consequent regret that push the user to decide to discontinue SNS. This research work develops theoretical implication for future SNS-based work and put forward a practical suggestion for organizations using SNS, SNS user, and SNS service providers.
Annual and seasonal-variation in the food-supply harvestable by knot Calidris-canutus staging in the Wadden Sea in late summer

The biomass of the macrobenthic animals living in intertidal flats of the Wadden Sea varies annually and seasonally. However, the variation in prey biomass harvestable by wading birds such as knot Calidris canutus, which feed mainly on the middle range of their prey size classes, is even larger. The majority of first-year Cerastoderma edule, Mya arenaria or Mytilus edulis are too small to be profitable as prey for knot. Yet, by the end of the subsequent growing season, these same prey are too large to be ingested and/or live at a depth that puts them out of reach of the birds' bills. Macoma balthica is a major prey for knot, because (1) its annual spatfall is less erratic than in the other bivalve species, and (2) it grows more slowly, and each cohort is therefore available as food for knot for at least 3 yr. Knot feed in flocks which roam over the feeding area, but they are more often observed in food-rich than in food-poor areas, A similar relationship between bird and food densities was found in one locality, when the annual numbers of knot were compared with the yearly variation in food supply. Since the numbers of knot in the whole area were the same over many years, the birds were apparently able to find other feeding areas when the local food supply was low, i.e. the food supply harvestable by knot (prey not too small, not too large and not too deep) was less than about 4 g ash-free dry weight m-2. Knot arrive in the study area at the end of July and leave after only a few weeks en route to Africa. They depart before d serious decline in the harvestable prey biomass takes place, which results from a decrease in the body condition of individual prey and an increase in the fraction of the prey which burrows out of the reach of the knot's bill.
The Phase Compensation Methods of Distributed Radar Systems

The distributed radar system is a solution to detect small targets in the space. But how to effectively accumulate the received signals from different radar stations is a challenging work. The signals influenced by different time-delay, Doppler frequency and reflection coefficient will have different phases before accumulation. In this thesis, we study the phase compensation methods to eliminate the effects caused by these factors. Keywords-distributed radar system; phase compensation; timedelay; Doppler frequency; reflection coefficient
Temporary-Permanent Wage Gap: Does Type of Work and Location in Distribution Matter?

Recent years have seen a push for greater labour market flexibility and an accompanying upsurge of interest in temporary employment and the negative outcomes often associated with such employment arrangements. This study focusses on the pay outcome with respect to the temporary workforce in New Zealand. This country is a useful case study for such analysis, because of the low levels of employment protection legislation afforded to temporary workers relative to the rest of the OECD. We utilise decomposition analysis to assess the size and significance of unexplained wage gaps for both the aggregate group of temporary workers and the subgroups of fixed-term, casual, temporary agency and seasonal workers. Our findings signal that the majority of the temporary-permanent wage differences can be explained by observable characteristics, with no wage gap evident for fixed term workers. We also find varying effects across the wage distribution. Quantile analysis points to a widening wage gap (particularly for casual and temporary agency workers) towards the upper end of the wage distribution, with a growing proportion of the gap that is unexplained.
Evolving Predator Swarm Intelligence

This master thesis investigates the evolution of predator swarm intelligence in predator-prey relationships. It aims to prove that we can evolve more efficient behavior than a set of simple rules in simulated environments. The thesis concludes that this can be achieved by combining vision models, genetic algorithms and artificial neural networks. The combination is well suited for swarming problems; where size, combinations and constant change makes it very complex to design simple rules. Our world is full of problems like this, where swarm intelligence and swarm robotics can provide effective solutions. Experiments investigate if and how performance is affected by changes in group size or environmental factors such as wall sight and noise. If robots are supposed to live in the real world, they need to be able to learn in realistic simulated environments. An observational study experiment is done in addition to simulated experiments; it shows that the evolved swarms clearly display intelligent swarming behavior.
DEVELOPMENT OF ORAL NIFEDIPINE-LOADED POLYMERIC NANOCAPSULES: PHYSICOCHEMICAL CHARACTERISATION, PHOTOSTABILITY STUDIES, IN VITRO AND IN VIVO EVALUATION

In this study, nifedipine (NFP)-loaded polymeric nanocapsules were prepared and characterised with a view to protect the drug from degradation. Nanocapsule suspensions were prepared using two different surfactants (pluronic F68 and polyvinyl alcohol). Physicochemical stability and in vivoantihypertensive effect were evaluated. The particle size, zeta potential and entrapment efficiency remained constant during a period of 28 days of exposure under light irradiation. A smaller particle size and a higher zeta potential were obtained for the nanocapsules prepared with Pluronic F68 as surfactant. The solid drug and the nanocapsules were submitted to light exposure for 28 days. After this period of time, the percentage of drug remaining in the PF68NFP and PVANFP nanocapsules was 28.1% and 21.3%, respectively. In contrast, the solid drug was completely degraded after 4 days, suggesting that the nanocapsule suspensions promoted significant protection of the drug against light exposure. In addition, in vivo studies were carried out, which demonstrated that the formulations with polyvinyl alcohol exhibited a very rapid onset of action after oral administration in rats and led to faster drug release. The nanoparticles developed can be considered as an alternative for improving NFP stability in liquid formulations.
Long-term simulation of growth stage-based irrigation scheduling in maize under various water constraints in Colorado, USA

Due to varying crop responses to water stress at different growth stages, scheduling irrigation is a challenge for farmers, especially when water availability varies on a monthly, seasonal and yearly basis. The objective of this study was to optimize irrigation between the vegetative (V) and reproductive (R) phases of maize under different available water levels in Colorado. Longterm (1992–2013) scenarios simulated with the calibrated Root Zone Water Quality Model were designed to meet 40%–100% of crop evapotranspiration (ET) requirements at V and R phases, subject to seasonal water availabilities (300, 400, 500 mm, and no water limit), with and without monthly limits (total of 112 scenarios). The most suitable irrigation between Vand R phases of maize was identified as 60/100, 80/100, and 100/100 of crop ET requirement for the 300, 400, 500 mm water available, respectively, based on the simulations from 1992 to 2013. When a monthly water limit was imposed, the corresponding suitable irrigation targets between V and R stages were 60/100, 100/100, and 100/100 of crop ET requirement for the above three seasonal water availabilities, respectively. Irrigation targets for producing higher crop yield with reduced risk of poor yield were discussed for projected five-year water availabilities.