Miracle-dz/UniFAR-FTUs huggingface dataset:
Supply Chain Management based on Blockchain: A Systematic Mapping Study

Groundbreakingly, blockchain technology (BCT) has gained widespread acceptance and importance in the last few years. Implemented in different areas of applications such as social and legal industries, finance, smart property, and supply chain networks. This technology assures immutability and integrity of data without the need of a third trusted party. Furthermore, BCT could guarantee a transparent and decentralized transaction system in businesses and industries. Even though general research has been done in the BCT, however, there is a lack of systematic analysis on current research challenges regarding how BCT is effectively applicable in supply chain management (SCM). A systematic literature review (SLR) of SCM based on blockchain does not exist yet. This work aims to explore and analyse the state-of-the-art on the BCT applications for SCM. We synthesize existing evidence, and identify gaps, available in the literature. The survey uses a systematic mapping study (SMS) method to examine 40 extracted primary studies from scientific databases.
The effect of the continuity of intra-organizational routines and the development of an interorganizational routine on collaborative innovation performance

Firms increasingly take part in interorganizational collaborations to support their innovativeness. However, high failure rates indicate that a lot of these collaborations are not successful. Therefore, there is a need to understand what determines interorganizational innovation success. This study analyzes the effect of routines on collaborative innovation performance. It is indicated that the firms engaging in a collaboration both have their own set of initial, intra-organizational routines but the partners in the collaboration can also develop together a new interorganizational routine. This study examines the effects of the continuity of intra-organizational routines and the development of an interorganizational routine on collaborative innovation performance. The results based on experimental data show that continuity of intra-organizational routines has a negative effect on collaborative innovation performance while the development of an interorganizational routine affects collaborative innovation performance positively. The results contribute to a better understanding for managers about the influence of routines on the innovativeness of their interorganizational collaborations.
Use of Optoelectronic Systems for the Analysis of Technique in Trials

Optoelectronic systems represent the gold standard of technologies used in the motion analysis for the evaluation of kinematics. Trials, a specialty of mountain biking, differ a lot from other cycling specialties, because in addition to pedaling, they require jumping techniques to overcome obstacles that involve the whole body. In this sport, more than in others, the evaluation of technical movements using optoelectronic systems goes far beyond simply assessing the biomechanics of pedaling or the correct positioning on the bike. Starting from a previous study conducted with video analysis technique applied to the lateral jumping technique, two versions of this technique were compared, considering the kinematics of the act, taking into account both the data relating the subject and the bicycle. The joint angles of the lower limbs and the angles described by the bicycle on the three space plane were considered. The major differences have been found in the “leap over” phase, about the bending of the lower limbs and the angles described by the bicycle.
Comparative Analysis of IDS Algorithms for Wireless Sensor Networks

The technological advances in micro-electro mechanical systems technology, wireless communication and digital electronics have given rise to a new paradigm called Wireless Sensor Networks. Wireless Sensor Networks consist of numerous sensor nodes which are deployed in an environment to sense desired activities. Emerging trends show that wireless sensor networks have been used in many mission critical applications. As these applications are deployed in hostile areas it becomes difficult to address the maintenance requirements. The lack of maintenance at times gives rise to various security issues in such networks. Further to make the sensor networks economically feasible the sensor devices have limited energy, communication and computation capabilities. These limitations itself becomes a major challenge. A secure system can be achieved if and only if security is integrated into each and every component of the system. Major security issue in context of WSN is routing. Intrusion Detection Systems are used to handle malicious activities in wireless sensor networks. These IDS deployed in wireless sensor networks tackle internal and external attacks. Various IDS are available for securing the sensor networks and majority of them handle external attack. In this paper, we have studied and analyzed some of the existing IDS like SOCSL, FAID, IDEAS, EAR and ANDWSNPBA. Finally a comparative study has been done using parameters like resource consumption, architecture of IDS, deployment scenario, method of detection of illegal activities and others.
Transforming blood supply chain management with Internet of things paradigm

InternetofThings(IoT)paradigmhastransformedthetraditionalhealthcaresys-temintothesmartone.TheIoT-basedhealthcaresystemisabletoconnectall availableresourcestooperatehealthcareservicesviatheinternetnetwork.It wouldmaximizetheutilizationofhealthcareresourcessuchasbloodandbloodproducts,whicharescarceresources.Bloodsupplychainisachallengingsys-temtomanage,whichresearchersusuallystudyforimprovedmethodologies toboostitsoperationefficiency.Thus,thispaperappliedacontentanalysisinordertoproposeguidelinesforenhancingandtransformingthebloodsupply chainmanagementbasedonthetheoreticalconsiderationsintheIoTparadigm.Theimplementationstrategiesareprovidedtopointouttheissuesthatblood utilizationandbloodoperationaldecisionmakingscanbeimproved. Finally,the IoT-basedframeworkofbloodsupplychainmanagementisproposedtoconceptu-alizetheinteractionsbetweenthings,humans,processes,andserviceoperations inthebloodsupplychainmanagement.
Personalized Advertisement System Based On Computational Intelligence

A software company develops an online socialization platform where users interact with others at virtual environments. The company's income is from the advertisements displayed at these virtual environments. They are willing to develop a personalized advertisement system in order to increase their revenues. In this paper, a two phased methodology framework is presented. The first phase is based on computational intelligence and matches the viewers' profiles to the requirements specified by the advertisers. The second phase identifies the appropriate advertisement that will be displayed to the user when in the range of an advertisement location based on an index.
Barriers to ethnic minority and women’s enterprise: Existing evidence, policy tensions and unsettled questions

This article presents an overarching review of the evidence regarding enterprise diversity. It discusses the context of ethnic minorities and women in enterprise and summarises research evidence relating to their relative access to finance, market selection and management skills. Policy within the field of diversity and enterprise is characterised by a number of tensions and unresolved questions including the presence of perceived or actual discrimination, the quantity and quality of ethnic minority and women-led businesses, potential market failure in the support provided to diverse enterprises and the substantive uniqueness of ethnic minority and women-led enterprises. Particular implications for policy and practice as well as directions for future research are discussed.
Flood Risk Management in Mexico

Mexico receives an average annual rainfall of 740 mm, which are distributed in the hydrologi‐ cal cycle as follows: 72% evapotranspiration, 21% becomes runoff and 6% as aquifer recharge. Within the Mexican territory, exist a great diversity of climates and high spatial and temporal variability in water resources availability. In the period 2000–2015, damages from hydrome ‐ teorological phenomena in Mexico represented between 60 and 99% of total damages and losses at national level due to natural and socioorganizational events. Considering global cli ‐ mate change impact on the selection, design and implementation of flood control measures, represents a major challenge, since the level of certainty regarding its influence on the vari ‐ ables involved, remains insufficient. This chapter provides a description of the main elements directly linked to flooding in México, such as a high spatial and temporal variability in water resources availability and presence of tropical cyclones in both coasts and climate change. A brief summary of the main disasters caused by hydrometeorological phenomena, the annual cost of the damages, the main non‐structural measures for flood control and the intervention from the Mexican Institute of Water Technology in the use, development and spread of tech ‐ nology focused on flood risk management are also included. information system. They play a central role in the delineation of floodplains for differ ‐ ent return periods, visualization of change in flow depth and velocity, strategic planning, early warning systems, impact analysis on infrastructure and population and damage assessments.
An Analysis Of Risk Factors Among Urban Fish Famers In Kaduna, Kaduna State

The risk factors associated with fish production were examined in Kaduna metropolis of Nigeria. A multi stage sampling method was used in sampling a total of 240 respondents with the aid of structured questionnaires which were administered to fish farmers. Data collected were analysed using descriptive statistics and Bayesian decision models. The result shows that farmers in the study area have an average age of about 37.8 years and an average household size of about 5 people. An average sampled fish farmer in the study area had a minimum of secondary education. The three major risk factors identified in the study area includes diseased/parasites, flooding resulting from excessive rain and pilfering with posterior probabilities of occurrence of 0.34, 0.46 and 0.20 respectively. it is recommended that farmers should stock disease resistant varieties ,put in place adequate disease preventive measures, arrange for prompt veterinary attention when ever there is outbreak of diseases and also ensure good security around their farms.
Drought Pattern along the Coastal Forest Zone of Tanzania

This study focused on identifying drought patterns particularly during the growing seasons along the coastal zone of Tanzania in order to facilitate the determination of drought impacts on forest Ecosystem. The growing seasons were March, April and May (MAM) referred as long growing season and October, November and December (OND) which is known as short growing season. The main data were precipitation from 16 weather stations covering the coastal zones of Tanzania. Standardized Precipitation Index (SPI) was used to establish meteorological drought patterns. The duration of records was between 34 and 59 years depending on the available data on the concerned stations. The SPI time series of 3 and 12 months showed that the coastal region of Tanzania experienced frequent drought conditions ranging from mild, moderate, severe and extreme droughts during both short and long growing seasons. It was found that the coastal zone of Tanzania experienced higher drought duration, severity and intensity with frequent extreme events after 2000 than before. Despite that Kisarawe area revealed low frequency of drought events (88%) than other study areas; it exhibited greater frequency of extreme droughts (46%) over the whole study areas. Higher drought duration (40 months) and severity (sum of SPI -36) were observed for precipitation data from Unguja Islands, while data from Julius Nyerere International Airport areas displayed higher drought intensity (SPI value of -1.9). Generally, Tanzania coastal zone was never completely without drought or anomalously wet conditions at any time scale during the period of record. The coastal zone was nearly entirely in drought periods especially the last decade after 2000. This suggests that vegetation in the coastal zone might have experienced the impacts of these droughts within the period. The magnitude of the impacts will be understood by tracking changes of biomass and forest cover along the coastal zone within the last decade from 2000 to 2011 in addition to the 1990/92 which experienced drought dominance for Pemba.
Venture Capital, Angel Financing, and Crowdfunding of Entrepreneurial Ventures: A Literature Review

Institutional financing, angel financing, and crowdfunding have evolved and matured in the entrepreneurial finance market and their field of research has progressed with it. Congruent to this, however, comprehensive literature reviews on these topics remain scarce. Herein, we provide an overview of a vast body of literature, presenting the contemporary state of research and succinctly identifying its subcategories. Additionally, we provide insight into major research trends and research gaps using a theoretical framework. JEL Codes: G20 (General), G23 (Non-bank Financial Institutions, Institutional Investors), G24 (Venture Capital)
A Comparative Analysis of Online Discussion Participation Protocols

Abstract Thirty-seven graduate students in two course sections were required to contribute to the online discussion of an instructional design case study. The discussion forums required different participation protocols; students in section one implemented a constructive argumentation approach while students in section two had less structure for their postings. The results revealed that both sections exhibited co-construction of knowledge as measured using the content analysis protocol the Interaction Analysis Model (IAM), but the less structured section reached the highest phase of knowledge building. In addition we found that the constructive argumentation approach and the task-oriented nature of the discussion influenced the interactions and co-construction of knowledge. The findings reveal practical implications for effective design of online discussion that may improve the quality of learning.
LMI-approaches to the performance analysis of reset control systems

We present a general LMI-based analysis method to determine an upperbound on the L2 gain of a reset control system. These results are derived using piecewise quadratic Lyapunov functions. The computable sufficient conditions for L2 stability are suitable for all LTI plants and linear-based reset controllers, thereby generalizing the results available in literature. Our results furthermore extend literature by including tracking and measurement noise problems, while using proper input filters to reduce conservatism. We conclude by suggesting future research directions to reduce conservatism even further.
Charge control of second life EV batteries on the DC link of a back-to-back converter

Rural electricity customers are often subject to weak single-phase network connections. In this circumstance, powering three-phase equipment is not straightforward. This study addresses this problem through the development of a single- to three-phase power conversion system which is supplemented by the addition of energy storage on the DC bus of the converter. The storage is provided by a pair of second life electric vehicle (EV) batteries and charging is controlled by adjusting the DC bus voltage. The approach to, and challenges encountered in, developing this system are presented.
Determination of Phylogenetic Relationships of Turkish Native Cattle Breeds with Other Cattle Breeds Using Mitochondrial DNA D-loop Sequence Polymorphism

The aim of this study was to determine the specific polymorphic sites in cattle breeds and inter- and interbreed genetic variation among breeds and to develop a databank of Turkish native cattle mtDNA using sequence analysis. The entire D-loop region was analyzed based on DNA sequences in Turkish Grey, East Anatolian Red, South Anatolian Red, and Anatolian Black native breeds. In total, 68 nucleotide differences were observed at 26 different sites. The variable positions consisted of 22 transitions, two transversions, and two insertions, but no deletions. Haplotype number, haplotype diversity, nucleotide diversity, and mean number of pairwise difference values were found to be 17, 0.993, 0.00478, and 4.275, respectively. In addition, a phylogeny was developed by comparison among cattle populations for which the entire D-loop sequence was available. A high level of genetic variation was observed within and among the native cattle breeds.
Realized Covariance Tick-by-Tick in Presence of Rounded Time Stamps and General Microstructure Effects

This paper presents two classes of tick-by-tick covariance estimators adapted to the case of rounding in the price time stamps to a frequency lower than the typical arrival rate of tick prices. We investigate, through Monte Carlo simulations, the behavior of such estimators under realistic market microstructure conditions analogous to that of the financial data studied in the empirical section; that is, non-synchronous trading, general ARMA structure for microstructure noise, and true lead-lag cross-covariance. Simulation results show the robustness of the proposed tick-by-tick covariance estimators to time stamps rounding, and their overall performance superior to competing covariance estimators under empirically realistic microstructure conditions.
Traditional and Contemporary Prejudice and Urban Whites' Support for Affirmative Action and Government Help

Data from a probability sample of a major metropolitan area in the United States were used to examine the extent to which racial prejudice predicted variations in whites' support for both government efforts to help blacks through social and economic initiatives, in general, and through Affirmative Action programs in employment, in particular. We examined the relative contributions of traditional and contemporary racial prejudice, individual and group self-interests, and stratification beliefs to the support of race-related policies. Confirmatory Factor Analyses were used to ascertain the empirical independence of the multiple independent measures and the two policy outcomes. Similar to some previous studies, we found that all three classes of variables predict whites' support of racial policies but racial prejudice is the most important. Moreover, the contemporary forms of prejudice are most consequential in predicting levels of support for social policies designed to reduce racial inequality. Finally, controlling for racial prejudice revealed that whites who adhere to basic American values of equal opportunity, hold beliefs that some groups are dominant over others, and believe in the inherent superiority whites, actually favor Affirmative Action and tend to be supportive of government help for blacks.
LINKAGE AND DUALITY OF MODULES

Martsinkovsky and Strooker [13] recently introduced module theoretic linkage using syzygy and transpose. This generalization brings possibility of much application of linkage, especially, to homological theory of modules. In the present paper, we connect linkage of modules to certain duality of modules. We deal with Gorenstein dimension, Cohen-Macaulay modules over a Gorenstein local ring using linkage and generalize the results to non-commutative algebras.
Numerical Schemes and Monte Carlo Method for Black and Scholes Partial Differential Equation: A Comparative Note

This paper comparatively investigates some iterative methods and Monte Carlo simulation technique for the dynamics underlying the celebrated Black and Scholes (BS) model. In particular we attempt to answer the question: 'How many Monte Carlo replications can yield prices, for plain vanilla type European derivatives on a stock, which are similar to those obtained by solving the BS PDE using iterative numerical schemes? ' We confine to three frequently referred iterative schemes such as Successive over Relaxation (SOR), Gauss-Seidel (GS) and Jacobi (JC). This information together with the information of 'differences in time requirements' will help to guess the similar trade-offs for complex derivatives(exotic) pricing for which there are no analytic pricing formulas.
Modelling the Influence of Filter Structure on Efficiency and Pressure Drop in Knitted Filters

Fibrous filters are used extensively in a range of applications, including process engineering, automotiv e filtration and for worker (respiratory) protection. These filters are usually a felted, nonwoven structure of randomly arranged fibres. However, a special class of such filters exists - knitted filters. These filters are advantageous for many applications, as their knitted structure imparts significant mechanical strength. The structure of the fibres in such filters can be described by the classical strophoid equation. There has been relatively little study on the pressure drop and efficiency of such filters. This work has developed a geometric model of a knitted metal filter, by applying the strophoid equation. The geometric model thus allows a range of geometries to be generated, based on the strophoid variables, and also fibre/wire diameter, then the knits layered at a given bulk porosity (packing density), to create a geometry of desired properties. The geometric model outputs can then be coupled with a novel computational fluid dynamics (CFD) model for fibrous filtration (developed by the authors). This then allows, the relationship between the aforementioned structural properties and critical filter properties such as particle capture efficiency and pressure drop to be investigated. This work examined the pressure drop and efficiency of a knitted filter geometry at 3 different packing densities. The CFD results were compared to classical single fibre efficiency theory for conventional fibrous filters. The CFD results showed increased capture efficiency and pressure drop compared to fibrous filter theory.