Miracle-dz/UniFAR-FTUs huggingface dataset:
How Trust affects Alliance Performance through Relational Capability

Although there are numerous works conceptually and empirically documenting the impact of trust among partners on alliance performance, only a few studies focus on how trust affects alliance performance, i.e., the intermediate effects that explain the processes through which trust affects alliance performance. The objective of this work is to test empirically the role of the relational capability as a mediating mechanism through which trust affects alliance performance. Primary data were collected from alliances of cargo agents located in the State of S? o Paulo, Brazil. It is worth to highlight that in the literature about alliances there is no work focusing on cargo agents (suppliers) in relation to trust in alliances. The conceptual model was tested trough the statistical technique of structural equation modeling. We conclude that relational capability mediates the relationship between trust and performance due to trust among partners facilitates and supports the development of alliance management activities. How Trust affects Alliance Performance through Relational Capability
Dealing with Failure : Why Serial Entrepreneurs Change Industries Between Ventures , and What it Costs Them

As part of the recent interest in serial entrepreneurship, studies have investigated the presence (or absence) of learning benefits from a first to a second venture. We extend this literature by integrating behavioral concepts on attribution and learning from failure that highlight the differences in behavioral responses to success versus failure. We theorize that serial entrepreneurs whose first venture failed are likely to blame the external environment and change industries for their second venture, and that this industry change is costly in that it invalidates much of their potentially-useful industry experience, lowering the chance of success in their second venture. By contrast, founders of failed ventures are unlikely to change aspects of their first business (when starting their second venture) that would be attributable to their leadership ? strategy, management style, and planning style. Using data on both entrepreneurs in China and the U.S., we find support for our theory and show that it is primarily those serial entrepreneurs whose first venture succeeded and who stay in the same industry that perform better on their second venture. The results have important implications for the study of serial entrepreneurship, and more broadly for research on behavioral responses to failure.
Relationship Between Audit Quality and Corporate Governance : An Empirical Research in Borsa Istanbul

In this study, the impact of corporate governance on audit quality in industrial companies is investigated. For this purpose, datas of industrial companies traded in Borsa Istanbul in 2015. Variables in this study is obtained from the companies’ annual reports, financial statements and also their instituitonal web sites. As a result of analysis by logistic regression method, firm size, the rate of instituitonal ownership, duration of trading time in stock exchange market, and company history variables are are found statistically positive on audit quality.
AUTOMATA TECHNIQUE FOR THE LCS

In this paper, we introduce two efficient algorithms in practice for computing the length of a longest common subsequence of two strings, using automata technique, in sequential and parallel ways. For two input strings of lengths m and n with m ≤ n, the parallel algorithm uses k processors (k ≤ m) and costs time complexity O(n) in the worst case, where k is an upper estimate of the length of a longest common subsequence of the two strings. These results are based on the Knapsack Shaking approach proposed by P. T. Huy et al. in 2002. Experimental results show that for the alphabet of size 256, our sequential and parallel algorithms are about 65.85 and 3.41m times faster than the classical dynamic programming algorithm proposed by Wagner and Fisher in 1974, respectively.
The practice of seclusion: to change or be changed? A review of the current discourse on its use Authors

Seclusion is an intervention used as a safety measure to manage violent patients with disturbed behaviour who pose a risk of harm to others (Department of Health, 2008). However, it is perceived as a contentious practice and has received much criticism in the general move to treating psychiatric patients in the least restrictive environment. Subsequently, there has been much debate on its therapeutic value, and a call for this intervention to be phased out. This paper outlines the purpose of seclusion and examine the evidence on the use of seclusion in adult mental health settings, its impact on nurses and patients involved in this practice with emphasis on the interpersonal nature of nursing care for this intervention. Key findings on the effects of seclusion In reviewing the literature on the use of seclusion, it is evident that opinions are divided amongst professionals, patients and carers on this contentious practice. There are those who argued that seclusion is a therapeutic intervention where patients have reported positive benefits such as feeling safe and having a therapeutic space for themselves to reflect and to allow for a non-disruptive expression while they restabilise on their medications (Meehan et al, 2004; El-Badri and Mellsop, 2008). Conversely, others have mixed views about seclusion and have commented on both the benefits and adverse effects of seclusion (Happell and Harrow, 2010; Van Der Schaaf et al, 2013) which impact on patients’ human rights with regards to their autonomy, dignity, freedom and privacy and which affected their recovery (Hoesktra et al, 2004; Bowers et al, 2012, Ezeobele et al, 2014; Holmes, Murray and Knack, 2015; Brophy et al, 2016). Both patients and staff involved in the intervention of seclusion reported negative experience of seclusion. Patients expressed feelings of anger, abandonment, being depressed, scared and feeling punished (Bowers et al, 2012, Ezeobele et al, 2014). Patient’s mental states were worsened because they felt isolated and anxious and reported increasing feelings of paranoia (Frueh et al, 2005). Some patients reported that their experiences were so bad that they resulted in relived past trauma and felt dehumanized (Bowers et al, 2012). Nursing staff expressed mixed feelings of fear, frustration, power, and relief that the patient was secluded (Van Der Nagel et al, 2009) These adverse experiences negatively impacted on the nurse-patient relationship where patients lost trust and confidence in nurses’ due to the anger they felt towards them leading to a lack of therapeutic rapport and relationship (Ezeobele et al, 2014; Brophy et al, 2016). Manuscript
CANALIZATION OF SIZE AT METAMORPHOSIS DESPITE TEMPERATURE AND DENSITY VARIATIONS IN PELODYTES PUNCTATUS

We investigated variation in length of larval period and size at metamorphosis in Pelodytes punctatus in response to temperature and density. Experiments followed a 3 × 2 factorial design, with density and temperature as fixed factors. Length of the larval period was very sensitive to temperature. Although significant, size at metamorphosis showed less variation. Density did not strongly affect the studied variables. No trade-off between length of larval period and size at metamorphosis was detected, even when a trend was perceptible at low density. Pelodytes punctatus differs from most other European species of tailless amphibian with regard to these traits, but is similar to Bombina variegata. These two species both belong to taxa of ancient origin, but also use habitats in the early stages of ecological succession (e.g. those following physical disturbance). Further studies are required to distinguish the influence of phylogenetic factors from those ecological factors that drive the evolution of such biological traits.
Influence of Bee Pollen on the Bioactive Behavior, Sensory and Physicochemical Properties of White Cheese Made from Camel and Cow Milk Mixture

The research aims to improve the therapeutic effect of white cheese by studying the effects of addition bee pollen on the bioactive behavior, sensory and physicochemical properties. Results indicated that bee pollen increased the antioxidant activities of the white cheese. The phenolic components in the bee pollen indicated good potential to inhibit the growth of E. coli (ACCT 8739), St. aureus (ATCC 6538) and S. typhimurium (ACCT 25566). Yield, total solid, fat and protein content of white cheese increased with the addition of bee pollen. No significant effects were observed on the sensory properties, compared with the control up to 1% (w/v). The addition of bee pollen during the production of white cheese is found to be necessary to increase the bioactive activities of the resultant cheese.
EasyChair Preprint No 804 Stochastic Volt / Var Planning and Operation for Microgrids with Renewables Nand

This paper presents an optimal planning and operation of wind turbines, photovoltaics, and SCs simultaneously for Volt/Var control in microgrids. In planning stage, net present value of total investment is maximized comprising investment cost, operation cost and cost of energy transaction with grid. The reactive power dispatch optimized during microgrid operation. The proposed Volt/Var model considers the probabilistic behavior of wind, solar irradiation and demand simultaneously which is solved by genetic algorithm. The proposed approach is tested on IEEE-33 bus distribution system that is used as microgrid. Keywords–distributed resources; distribution networks; genetic algorithm; renewable resources; shunt capacitor; volt/var control.
Realization of a New Kind of FrequencySelective Surface for Multi Band Operations

This paper investigated a new windmill shaped Mushroom like structure. The geometry of this artificial magnetic conductor AMC consists similar design as EBG structures but they have cuts on each side of the patch. In this Frequency selective surface this cuts made the appropriate effects in making the antenna as tunable antenna. The design and the results like return loss, gain, E, H fields are presented comparatively with conventional antenna
STRATEGIC NETWORK AND ALLIANCES OF AFRICAN AGRIBUSINESS SME INTERNATIONALIZATION

Master’s degree in Management and Entrepreneurship Visamäki Author Njemo Batumani, Charles Year 2018 Subject Strategic Network and Alliances of African Agribusiness SME Internationalization. The Case of Agribusiness SMEs in Douala, Cameroon. Supervisor(s) Dr. Mikko Mäntyneva
Time of sexual maturity and early egg quality of Japanese quails affected by in ovo injection of medicinal plants

Abstract The aim of this study was to evaluate the time to sexual maturity and quality of initial eggs of Japanese quail affected by in ovo injection of plant extracts: ginger (GR), garlic (GC), oregano (O) and cinnamon (C). In total, 2400 eggs of Japanese quails were divided into six groups on the fifth day of incubation. Group I was the control group (NC), which was not injected. Other eggs were injected with 0.1 mL of liquid: group II – the positive control (PC) – with distilled water, group III with 1 % solution of GR, group IV with GC, group V with O and group VI with C. After hatching, the birds were reared in a cage system and fed with balanced mixtures, and 24 h lighting was used. The time at which birds reached sexual maturity was registered, while in the seventh week of rearing, 120 eggs were subject to quality evaluation. The traits of a whole egg (shape index as the ratio of egg width to egg length, weight, specific gravity), shell (strength, weight, thickness and density), albumen (weight, height), yolk (color, weight, index) were evaluated. At the earliest, on 36th day of life, eggs were laid by birds from the GC group, followed by C (37th day), O and NC (38th day), GR (39th day), and PC (41st day). During the first 2 weeks significantly more eggs were collected from the GC than from the other groups. The heaviest eggs derived from GC and GR groups, whereas the lightest came from the C group. Eggs from the GC group had the best shell strength and the greatest proportion of yolk. The use of medicinal herbs by injection in ovo may considerably modify both time of sexual maturity and quality of the initial eggs of Japanese quail.
Shadow Detector Adversarial Samples Augmented Training Set Attenuator Original Training Set ... Shadow Detector Adversarial Samples Augmented Training Set Attenuator Original Training Set ... Original Training Set Augmented Training Set Shadow Detector Attenuator Adversarial Samples

We propose a novel GAN-based framework for detecting shadows in images, in which a shadow detection network (D-Net) is trained together with a shadow attenuation network (A-Net) that generates adversarial training examples. The A-Net modifies the original training images constrained by a simplified physical shadow model and is focused on fooling the D-Net’s shadow predictions. Hence, it is effectively augmenting the training data for D-Net with hard-to-predict cases. The D-Net is trained to predict shadows in both original images and generated images from the A-Net. Our experimental results show that the additional training data from A-Net significantly improves the shadow detection accuracy of D-Net. Our method outperforms the stateof-the-art methods on the most challenging shadow detection benchmark (SBU) and also obtains state-of-the-art results on a cross-dataset task, testing on UCF. Furthermore, the proposed method achieves accurate real-time shadow detection at 45 frames per second.
Building English-Punjabi Parallel corpus for Machine Translation

Objective Parallel corpus is the key resource for English Punjabi machine translation. At wide level there is no availability of English-Punjabi corpora. There is a primary requirement of parallel corpus for the training of statistical machine translation. Methods/Analysis In this paper, authors focus on building English-Punjabi corpus at large scale. It posed difficulties and the intensive labor to develop the corpus. We are intricate on the collection as well as the flow of work for the construction of parallel corpus. Now after getting the raw text, we need to refine the corpus in such a way that every source language sentence should have corresponding target language sentence.
Free Trade Agreements in South America

Objective: Free Trade Agreements (FTA) have recently drawn public attention due to political populism, alter-globalisation, and tendencies to redefine economic ties, together with the stereotype of mismatching social perception and so-called ‘expert knowledge’. Confronting this stereotype may contribute to better understanding of FTA controversies and identify possible vulnerability sources at the policy implementation level. Research Design & Methods: To analyse FTA impact, meta-analysis of the literature research results was performed using the sample of eight Spanish language papers. We included models in which natural logarithm of a trade measure was regressed on FTA dummy variable with other explanatory variables following Viechtbauer (2010). Findings: With FTA dummy variable increased trade can have its sources both in trade creation and trade diversion. Also, the endogeneity issue might result in overestimation of the effect, as countries that trade more are more likely to establish a FTA. Weighted least squares fixed effects models at both the study and the model level support this notion. Unweighted least squares models for Spanish language papers are the only ones where the positive effect of FTA is not statistically significant. Implications & Recommendations: Spanish language literature gives a lot of support to the notion that FTAs are associated with higher trade. However, the exact size of the effect can be brought to question. Contribution & Value Added: Public opinion in South America seems quite supportive for FTA and economic integration. Meta-analysis results confirm positive FTA effects, supporting its use as a convincing argument for further integration. Article type: research article
Polarization studies in a computer based laboratory

This didactic activity is based on computer based learning through sensors and advanced tools for data acquisition and analysis. The fundamental studies related to polarization namely Malus’ Law and study of elliptical and circular polarization have been automated using rotary motion and light sensor. This computer based laboratory allows a student to online collect, analyze and display the data during experimentation leading to better understanding of otherwise a very difficult concept of polarization. Also, time required for carrying out the study of elliptical and circular polarization is substantially reduced from 3 hours to less than half an hour.
ENMA-4 EFFECT OF PACKING PARAMETERS ON THE COMBUSTION BEHAVIOR OF AP BASED COMPOSITE SOLID PROPELLANT

Ammonium Perchlorate (AP) is frequently employed in the form of bimodal mixtures as an oxidizer in composite propellant formulations. Hydroxyl Terminated Polybutadience (HTPB) is also frequently used as a prepolymeric fuel binder in these propellants. The combustion behavior of this heterogenous mixture depends on both packing density and specific surface area of the oxidizing particles. One of the reliable packing models has been selected and employed for calculating the packing parameters of many of monomodal and bimodal mixtures. A one dimentional lab scale vibrator has been employed for measuring the packing density. A remarkable agreement has been detected between the calculated and the experimentally obtained values. Packing factor of about 0.64 and 0.82 has been recorded for the monomodal and the bimodal mixtures respectively. One of the efficient two dimentional combustion models has been selected and employed for predicting the flame structure and the regression surface for some selected propellant formulations. The results prevailed the important role of the packing parameters regarding both the flame structure and the regression surface
Inclusive Practice and Transformative Leadership Are Entwined: Lessons for Professional Development of School Leaders in Kenya

Inclusive Education (IE) is arguably a popular discourse in education systems as, not merely a concept that addresses concerns of Learners with Special Needs (LSNs) but rather a relatively broad approach looking into how to transform learning environments to respond to diversity.At the heart of human rights movement, Education for All (EFA) and social equity agenda, IE has lots of educational, social and economic premiums attached to it. Increasingly, what slows down the progress towards IE in Kenya is documented, but still, less is known about leadership acumen of school leaders yet, the art and science of transformation of the school into an effective inclusive environment squarely lies in the province of school leaders. Anchored on the Social Model of Disability , this paper presents results based on an extensive secondary data review . It provides evidence that IE and transformative leadership are closely knit. It urges that all initiatives geared towards supporting effective implementation of IE must interrogate leadership ability of school leaders and develop them as critical ingredients in turning around schools into effective inclusive learning environments.
Applied Computational Electromagnetics Society Express Journal Ma y 2 016 Selected Cover Images

Magnesium production process is highly energy intensive. Electrolysis process provides an effective route to reduce the energy consumption. In this paper, a three-dimensional electro-magneto-hydrodynamics coupling model of a 120 kA magnesium electrolysis cell using finite element method is presented. In this model, the electric field, magnetic field, and flow field are included. This paper concerns the effects of the Lorentz force on the motion of the electrolyte in the cell. The model predicts that the magnitude of Lorentz force is at its maximum near the region between the anode and cathode. The direction of the Lorentz force is beneficial to the motion of the electrolyte in the magnesium electrolysis cell. Index Terms – Electro-magneto-hydrodynamics, Lorentz force, magnesium electrolysis cell.
A Novel Approach for Qualitative Imaging of Buried PEC Scatterers

A new linear approach for support reconstruction of impenetrable objects is described and tested in case of scattered field data collected in Ground Penetrating Radar measurement configuration. Starting from the considerations that in high conductivity scatterers the currents induced inside the scatterers are only localized on its boundary and that they take up only few pixels of the entire investigation domain, a sparsity promoting inversion technique is formulated. The flexibility of the approach allows to counteract the specific difficulty to work under “aspect limited” measurement configurations, as the one at hand. Examples with numerical noisy data are given to demonstrate and validate the effectiveness of the method in localizing and in retrieving the shape of the unknown objects buried in lossy soil.
Spectral Propagation of Uncertainty in Water Age

Water distribution networks are critical infrastructures that should ensure the reliable supply of high quality potable water to its users. Numerical models of these networks are generally governed by many parameters for which the true value is unknown. This may be due to a lack of knowledge like for consumer demand or due to a lack of accessibility as for the pipe roughness. For network managers, the effect of these uncertainties on the network state is important information that supports them in the decision-making process. This effect is generally evaluated by propagating the uncertainties using the mathematical model. In the past, perturbation and stochastic collocation methods have been used for uncertainty propagation. However, these methods are limited either in the accuracy of the results or the complexity of the calculation. This paper uses an alternative spectral approach with the polynomial chaos expansion that has the potential to give comparable results to the Monte Carlo sampling through the definition of a stochastic model. This approach is applied to the model of a water distribution network in order to evaluate the influence of uncertain demands on the water age.
Mechanical pretreatment of lignocelluloses for enhanced biogas production: Methane yield prediction from biomass structural components

In this study, mechanical pretreatment was applied to six different lignocelluloses in two different treatment phases and the prediction of their methane yield was done from biomass chemical composition. Physicochemical, proximate and microbial analyses were carried out on both pretreated and untreated biomass using standard methods. Mechanical pretreatments caused the breakdown of structural materials in all the used biomass which was characterized by reduction of the lagging time during anaerobic digestion and the subsequent increase in methane yield up to 22%. The different loading rate of biomass had no effect on the overall methane yield increase. Both single and multiple linear regressions models were used in order to correlate the chemical composition of the biomass with their methane potentials and a fairly high correlation (R2=0.63) was obtained. The study also showed that the pretreatments are economically feasible. Therefore, its further application to other biomass is encouraged.