Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Potential Cashew Clones for Utilization in Ghana

Cashew (Anacardium occidentale L) is an important cash crop cultivated by about 3 million households in Africa and serves as the livelihood for many African farmers, especially Ghana. Despite the importance of cashew as a commodity crop with increasing cultivation in Northern Ghana, the crop is challenged with problems such as, low and variable nut yields, low kernel out turn percentage and susceptibility to insect pests as a result of establishing cashew farms with unselected seeds. In order to address the challenges, the Cocoa Research Institute of Ghana established a clonal evaluation trial in Northern Ghana (dry savanna vegetation) to indentify promising clones for subsequent distribution to cashew farmers as an interim measure. The trials consisted of ten different clones planted in Randomised Completed Block Design (RCBD) with four replicates. Parameters evaluated were yield, yield efficiency, nut weight, percentage out turn and canopy area. Data analysis was performed with Gen Stat version 11.0 and the results revealed significant differences (P < 0.05) in the performance of the clones in all the parameters considered. Such differences allowed the identification of promising clones over other clones tested. A few clones combined two or three traits (parameters) which were significantly different from the rest of the clones evaluated. No single clone was found to be significantly different from the rest in terms of all the parameters considered. However a greater proportion of the clones were found to produce yields far above average yields recorded by unselected cashew trees in farmers’ fields. Clones W266 and W278 seem outstanding for most of the parameters considered, though not exclusive.
General Equilibrium Stock Index Futures Pricing Allowing for Event Risk

This study develops a new futures pricing model and derives its analytic solution. Comparative static and simulation results are also presented. Under this general equilibrium framework, we find that bounded degrees of state variables in the broad economy determine co-varying extents among various important market variables. However, increasing event risk, including the sizes of occurrence probability and corresponding impulse effects, makes their analysis intractable.
Associating the Ahi Order Turkish Trade Model with TQM and Customer-Focused Marketing: Its Applicability in the Accommodation Operations

The purpose of this study is to compare the disciplines of Ahi Order (Turkish Trade Model) and Total Quality Management (TQM) that both stand up for the philosophy of giving the highest quality service by qualified people and to determine whether the practices of the accommodation enterprises overlap with these disciplines. This study proposes that The Ahi Order resembles with TQM applications in essence that both have dynamics to raise social work productivity. For this purpose, a detailed literature review examined. Furthermore, questionnaires were applied to middle and senior managers from 11 hotels in 4 and 5-star hotels around Sultanahmet, Istanbul to test their applications on the pre-determined Ahi Order, TQM and Customer Orientation scales. Factors related to the survey participants and the hotel location and their relation to each other were tested by Mann Whitney U and Kruskal Wallis analyzes, and it was understood that there was a significant correlation between the factors. According to the result of correlation analysis, it was observed that there is a positive relationship between Ahi Order with TQM, Ahi Order with Customer Focused Marketing and Customer Focused Marketing with TQM.
A protocol anomaly detection method based on optimized hidden Markov model

As to solve the issues of insufficient training data and initial parameters sensitive in existing protocol anomaly detection based on hidden Markov model, presenting a new protocol anomaly detection method based on improved genetic algorithm and hidden Markov model. First, the local competitive selection strategy, arithmetic crossover and adaptive non-uniform mutation operator were used to improve the genetic algorithm, in order to avoid the "premature" and "stagnation" problem in traditional genetic algorithm; then, the improved genetic algorithm was recommended to optimize the initial parameters of hidden Markov model to avoid the initial model parameters sensitive issue; and finally, the keyword and keyword interval were taken as training observations, describe the behavior of protocol details to expand the training sample space. Experimental results on DARPA 1999 data set show that the method has a high detection rate and low false alarm rate.
There Goes Gravity: How Ebay Reduces Trade Costs

This paper compares the impact of distance, a standard proxy for trade costs, on eBay and offline international trade flows. It considers the same set of 62 countries and the same basket of goods for both types of transactions, and finds the effect of distance to be on average 65 percent smaller on the eBay online platform than offline. Using interaction variables, this difference is explained by a reduction of information and trust frictions enabled through online technology. The analysis estimates the welfare gains from a reduction in offline frictions to the level prevailing online at 29 percent on average. Remote countries that are little known, with weak institutions, high levels of income inequality, inefficient ports, and little internet penetration benefit the most, as online markets help overcome government and offline market failures.
The Sophisticated Public: The Effect of Competing Frames on Public Opinion

Deliberation is the current buzzword among democratic thinkers. Deliberative democracy assumes that deliberation has an effect on the people engaging in the deliberative process. Several studies have demonstrated that this is indeed the case: deliberation increases political knowledge and opinion consistency, as well as mutual understanding and broader tolerance among citizens. In order to verify the findings from these studies and to confront the problems of internal and external validity in the previous studies of deliberation, alternative methodological designs must be applied. Applying an experimental split-sample design using CATI on the Danish electorate reveals how arguments and frames influence public opinion. Across various frames and arguments and political issues, positive (negative) arguments tend to push opinions in a positive (negative) direction. When competing frames are presented to the public, people submit to neither ambivalence nor non-attitudes. Quite to the contrary, people tend to follow their predisposition and provide more consistent opinions. Thus, deliberation composed of various competing frames and arguments facilitates – rather than distorts – sophisticated and considered public opinion.
Lexical collocations in English: A comparative study of native and non-native scholars of English

In the field of ELT, a growing awareness has been paid to the use of correct and appropriate word combinations. Of methods and techniques existed in the literature, the issue of lexical collocation gets a great deal of attention. However, one of the main obstacles, particularly for non-native writers (NNW), is indeterminate knowledge of word combinations. Through the acquisition of collocation it may be possible for NNW to increase their lexical competence. The present study attempted to investigate the use of English lexical collocations in the texts written by native writers of English (NW) and non-native writers of English (NNW), and to examine whether there are any statistically significant differences between NW and NNW in terms of employing collocations in their written productions. The corpora for the current study consisted of 40 research articles (RAs) published in leading journals in ELT, 20 of which belong to native speakers of English while the rest to non-natives. Only RAs published in ELT discipline were included in the corpora because lexical collocation may show difference across disciplines. Before analysing, the data were categorized according to a taxonomy divided into seven: verb+noun, verb+adj. /adv. , noun+verb, noun+noun, adjective+noun, adverb+adjective, and adverb+verb . To able to explore the data, Independent Samples T-test was employed. The findings yielded significant results. Further, the current study sheds light on whether to include lexical collocations for a better writing. At the end, based on the research findings, some pedagogical implications and suggestions for further research and collocation awareness were discussed.
The Impact of Ownership Retention on Ipo Firm Value

This paper studies whether retained ownership affects the value of the initial public offerings (IPOs) in Turkey, an emerging market. The findings show that the coefficient corresponding to the ownership retention signal is positive for a sample 67 IPOs that listed on Istanbul Stock Exchange (ISE) between 2000 and 2010 (inclusive) implying that initial valuation increases with ownership retention signal at IPO stage. The study further suggests that primary share issuing is a stronger signal on firm value and again it affects IPO firm value positively.
Students' Learning Styles and Intrinsic Motivation in Learning Mathematics

This study aims to determine the types of learning styles and intrinsic motivation of IKTBNS students and to the relationship between learning styles and intrinsic motivation of students; and difference in learning styles and intrinsic motivation based on gender. This study was carried out by survey research method. The sample consists of 78 students from two departments in National Advanced Youth Skill Training Institute of Sepang (IKTBNS). The Inventory of Learning instrument was used, which postulated four learning styles and three types of intrinsic motivations which are practised by the students in learning mathematics. Data gathered were analyzed descriptively and inferentially using the SPSS package. Result from the descriptive analysis found that the students showed high learning style of surface, while the highly practised intrinsic motivation is self-efficacy as compared to efforts and worry. Inferential analysis results found a significant relationship between hard work learning styles and effort intrinsic motivation. There is a significant difference between genders in organisation learning style as well as genders in effort intrinsic motivation. The implications of this study indicate that motivational factors play an important role in determining the selection of learning styles practised by the students.
Identificación y metodologías de sistemas para la delimitación de territorios

This document identifies the main issues affecting the delimitation of territories and explores the conceptual approaches for describing the relationship of the territories understood as organizations with their environment. Subsequently, we studied the systems methodologies known as soft systems methodology, SSM, and complex adaptive systems, CAS. Finally, the advantages of systemic approaches to territorial delimitation are shown.
The Economic Performance of Innovations in a Collaborative Setting: The Case of KIBS Firms

Collaborative innovation literature shows that collaborating with clients enhances the innovation performance of firms particularly as regard the development of highly new products. In this setting, are highly new products the innovation category that drives the most firm’s performance? This is a relevant research question in the innovation literature since it warns about the risks and limits of highly new products but has not considered the firm’s performance implications of different categories of innovations developed by collaborating with clients. In this paper we consider different categories of innovation, product and process innovations new to the industry and new to the firm respectively, and develop original hypotheses about their implications over firm’s performance. We develop and test our hypotheses on a sample of 99 Italian KIBS firms. We focus on KIBS firms since they are used to customize their services and collaborate with clients during the development of new services. Results support the idea that highly innovative product innovations are more strongly associated with a KIBS firm’s growth, while weakly innovative process innovations are more strongly associated with a KIBS firm’s productivity, but only in small firms. Theoretical and managerial implications for collaborative innovations settings are drawn.
Noise Parameter Estimation for Non-Singleton Fuzzy Logic Systems

Real-world environments face a wide range of noise (uncertainty) sources and gaining insight into the level of noise is a critical part of many applications. While Non-Singleton Fuzzy Logic Systems (NSFLSs), in particular recently introduced advanced variants such as centroid-based NSFLSs have the capacity to handle known quantities of uncertainty, thus far, the actual level of uncertainty has had to be defined a priori - i.e. prior to run time of a system or controller. This paper does not focus on such advances within the architecture of NSFLSs, but focuses on a novel two-stage approach for uncertainty handling in fuzzy logic systems which integrates: (i) estimation of noise levels and (ii) the appropriate handling of the noise based on this estimate, by means of a dynamically configured NSFLS. As initial evaluation of the approach, two chaotic nonlinear time series (Mackey-Glass and Lorenz), as well as a real-world Darwin sea level pressure series prediction fuzzy logic systems are implemented and compared to commonly used procedures. The results indicate that the proposed strategy of integrating uncertainty/noise estimation with the capacity of non-singleton fuzzy logic systems has the potential to deliver performance benefits in real-world applications without requiring a priori information on noise levels and thus delivers a first step towards smart, noise-adaptive non-singleton fuzzy logic systems and controllers.
Compensation of Time-Varying Delay in Networked Control System over Wi-Fi Network

In this study, we design a state predictor-based output feedback controller that compensates for unavoidable time-varying network delays in networked control systems (NCSs) over Wi-Fi networks. We model time-varying network delays as timevarying input delays of NCSs over Wi-Fi networks. The designed controller consists of a linear quadratic regulator (LQR), a full-order observer, and a time-varying stepahead state predictor. The state predictor plays a key role in compensating for the time-varying input delay by providing the LQR with an estimation of future states ahead by the current network delay time. The time-varying network delays are acquired in real time by measuring the time differences between sent and received control data packets. We verify the stability and compensation performance of the designed controller by performing extensive experiments for an NCS in which a rotary inverted pendulum is controlled over Wi-Fi networks.
Weighted power mean discrete dynamical systems: Fast convergence properties

We studied families of discrete dynamical systems obtained by using iteration functions given by weighted power mean in order to understand the role of hyperrapid convergence in nonlinear maps. Our interest resides in concepts related to the velocity of convergence. We introduce new concepts regarding the time of convergence and we provide an ordering of these families according to their dependence on parameters.
Calm Water Performance of Hard-Chine Vessels in Semi-Planing and Planing Regimes

Abstract In the current paper, a mathematical model is developed for performance prediction of hard-chin boats which can be used in both semi-planing and planing regimes. The proposed model bases on the 2D+T theory and implements pressure distributions over the length of the hull in order to compute the forces. To determine the forces in the semi-planing range, a function is proposed for the non-dimensional length at which the transom effect appears. Three drag components, which are: frictional drag, induced drag, and spray drag, are considered in the computations performed using an iterative method to satisfy two equilibrium equations. The validity of the proposed method is verified by comparing the predicted trim angle and resistance against the available experimental data. Based on this comparison, it is observed that the proposed method reveals satisfying accuracy in both semi-planing and planing regimes. The method is then used to study variation of hydrodynamic and hydrostatic forces as the hull makes a transition from the semi-planing regime to the planing regime. In addition, different components of the resistance are analyzed.
Decreased Expression of Angiopoetin 1 on Perivascular Mesenchymal Stem Cells from Ssc Patients Induces an Anti Angiogenetic Effect, when Co-cultured with Endothelial Cells

Introduction: The Angiopoietin (Ang)/Tie2 system plays crucial roles in vascular functions, regulating endothelialpericyte interaction and promoting vascular stabilization. We assessed if an impaired cross-talk, in Systemic Sclerosis (SSc), between endothelial cells (ECs) and perivascular mesenchymal stem cells (MSCs) may affect the normal interaction among Ang1, Ang2 and Tie2 thus contributing of the impaired angiogenesis in SSc. Methods: We investigated Ang1, Ang2 and their receptor performing co-cultures with ECs and bone marrow MSCs obtained from patients and healthy controls (HC). After 48 hours, cells were sorted and analysed for molecular assays. Furthermore, we investigated, by ELISA assay, the proteins released in the supernatants. Finally, we silenced Ang-1 expression in HC-MSCs by siRNA-Ang1. Results: At molecular level, SSc-MSCs, cultured alone, expressed lower amount of Ang1 when compared to HC-MSCs. After co-culture, a significant decreased of Ang1 mRNA levels was observed in the SSc-MSCs/SSc-ECs. On the contrary, SSc-ECs expressed higher levels of Ang2 and Tie2 in each co-culture condition, when compared to the expressions of cells cultured alone. The WB and ELISA assays mirrored the results observed in gene expression. HC-MSCs transfected with siRNA-Ang1 lacked the ability to support the formation of tube like structure. Conclusions: In this work we provided evidence that an imbalance of Ang1/Ang2 molecules and a decreased expression of their receptor, Tie2, during ECs-perivascular MSCs interplay, may modulate vessel stability, and vascular tube formation, thus contributing to the angiogenic alteration observed during SSc.
Product Restructuring, Exports, Investment, and Growth Dynamics

This paper estimates a dynamic general equilibrium model of entry, exit, and endogenous productivity growth. Productivity is endogenous both at the industry level (firms enter and exit) and at the firm level (firms invest in productivity-enhancing activities). The focus of the paper is on two activities that make productivity-enhancing investments more attractive, namely, exporting and product-mix choices. A firm that increases its exports and/or its number of products will have higher sales – and this makes investing in productivity more attractive because there are more units (sales) across which the productivity gains can be applied. These insights are taken to firm-level Spanish data. We compute the Markov Perfect Equilibrium using dynamic programming algorithms and estimate the dynamic parameters using Bayesian MCMC. Three key findings emerge. First, there is no evidence of learning by exporting: the observed positive correlation between exporting and productivity operates entirely via the impact of exporting on productivity-enhancing investments. Restated, exporting decision raises productivity, but only indirectly by making investing in productivity more attractive. Second, there is evidence of learning by producing multiple products: product-mix raises productivity directly in addition to the investment channel. Third, there are strong complementarities among the product-mix, exporting and investment decisions. Finally, I simulate the effects of a 5% reduction in the iceberg transportation costs. Productivity rises at the economy-wide level both because of the between firm reallocation effect and because of within firm increases in productivity.
The Mediational Role of Relational Psychological Contract in Belief in a Zero-Sum Game and Work Input Attitude Dependency

The purpose of this study was to investigate the mediational role of relational psychological contract in social beliefs and work input attitude dependency. We analyzed data taken from employees (N = 258) in four different organizations operating in the Pomeranian market. A mediation analysis showed a strongly mediating role of psychological contract in the negative relationship between perception of life as a zero-sum game (BZSG) and work input. The motivational effect of the relational psychological contract, that is the role of job security, interesting work, a career in the company, opportunities for promotion and other HRM practices prevail over the significance of personal beliefs, especially when these are negative. If the company lacks the appropriate HRM systems then day-to-day social exchanges can be crucial in modifying the social beliefs of the employee.
Piezoelectric nanowires in energy harvesting applications

Recently, the nanogenerators which can convert the mechanical energy into electricity by using piezoelectric one-dimensional nanomaterials have exhibited great potential in microscale power supply and sensor systems. In this paper, we provided a comprehensive review of the research progress in the last eight years concerning the piezoelectric nanogenerators with different structures. The fundamental piezoelectric theory and typical piezoelectric materials are firstly reviewed. After that, the working mechanism, modeling, and structure design of piezoelectric nanogenerators were discussed. Then the recent progress of nanogenerators was reviewed in the structure point of views. Finally, we also discussed the potential application and future development of the piezoelectric nanogenerators.
E-Translator Kawi to Bahasa

The research area is a part of South Serayu Mountain zone, specifically Bregada Kulon Progo. The Bregada Kulon Progo is a product of volcanic activity in the past, which can be seen by the volcanic rock called Old Andesite Formation. The end of the volcanic activity is characterized by the deposition of carbonate rocks which were part of Jonggrangan Formation and Sentolo Formation. The lower part of Sentolo Formation is composed by the mix of carbonate and volcanic materials. The research is carried out by two methods. The first is field method, which is implemented by geological mapping and rock sampling. The second is laboratory method, which is implemented by petrographic method. The petrographic method is implemented by making thin section of the rocks, then observing the thin section with polarization microscope to determine the composition of the rocks. The rock samples are mainly from the lower and middle part of Sentolo Formation, which probably still got the influence of volcanic activity. The benefit of the research is knowing the influence of volcanic activity in the carbonate rocks of Sentolo Formation. The presence of volcanic materials in the lower part of Sentolo Formation, can be predicted by two processes. First, the volcanic activity supplied those materials directly, and second, from the rework of the volcanic materials then mixed with carbonat materials of Sentolo Formation.