Miracle-dz/UniFAR-FTUs huggingface dataset:
ASSESSMENT OF KNOWLEDGE SHARING FACTORS AMONG ACADEMIC STAFF IN NIGERIAN UNIVERSITIES

As a core process to knowledge management that aids innovation and regeneration of knowledge among individuals within institutions, knowledge sharing cannot be overemphasized owing to its importance in gaining competitive edge and sustaining competitive advantage. Therefore, as citadel of learning, academic institutions need to measure the factors that influence knowledge sharing among its scholars using approved multi criteria model such as analytic network process (ANP) in order to formulate and implement research-driven strategies for sharing knowledge in a way that global competiveness will be enhanced. The research design is quantitative and analytical in nature through a survey of experts (Lecturers) with usage of pairwise comparison questionnaire. Sample was drawn through multi-stage sampling procedure and 102 copies of questionnaires were retrieved and found fit for analysis. In addition, Ardichvili’s framework of factors contributing to knowledge sharing was adapted within the Nigerian cultural setting in order to widen the scope of knowledge. Data collected were model into clusters in line with ANP technique. The results show that respondents believe that institutional norms factors were better motivator for knowledge sharing of which institutional culture stand out. In spite of the available organizational barriers, academia believe that individual barriers are disastrous to knowledge sharing.
Parental perception of child’s body weight status and its association with socio-demographic factors among Malay children in primary schools in Kuala Terengganu, Malaysia

Introduction: Obesity rate among school children has increased globally. Parental perception plays a significant role in the management of obesity among children. Previous studies indicated that parents who accurately perceived their child’s body weight status (BWS) tended to encourage healthy behaviours as compared to parents who overlooked the problem. Therefore, this study aimed to determine the association between socio-demographic factors with parental perceptions of their child’s BWS among school children in Terengganu, Malaysia. Methods: Using a cross-sectional study design, 389 school children aged 9 to 11 years old were recruited. Height and weight were measured using calibrated tools and inputted into the World Health Organization AnthroPlus software for body mass index z-score calculation. Parental perceptions of their child’s BWS were explored using a selfadministered questionnaire together with their socio-demographic background. Results: Of 389 subjects, 53.2% of school children were from rural and 46.8% were from urban schools. Overall, mean BMI-for-age z-score between school locations showed no significant difference, with higher means reported in urban (-0.2±1.6SD) than in rural (-0.4±1.6SD). Significant association was found between parents’ perceptions and actual BWS (p<0.001). Logistic regression analysis showed that parents of overweight children and parents in rural schools were more likely to misperceive their child’s BWS. Conclusion: This finding suggests that parents from rural areas and having overweight children were more likely to have misperceptions of their child’s BWS. Therefore, knowledge-based intervention programmes among parents specifically in the rural areas are needed to increase the level of awareness to assist in obesity prevention.
Nonnegative C(R) Interpolation

In this paper, we provide a comprehensive treatment of interpolation of data by nonnegative C(R) functions, hereby solving a special case of an important open problem in smooth nonnegative interpolation. First, we give an alternative proof of the Finiteness Principle, showing that k = 64 is sufficient as a finiteness constant, which substantially improves the one given by Fefferman, Israel, and Luli. Then, we prove the existence of a one-parameter family of extension maps of bounded depth. Such family gives rise to a Sharp Finiteness Principle that improves the computational practicality of the original one. Lastly, we exhibit two efficient algorithms. The first computes an extension with the assistance of an oracle; and the second computes the order of of magnitude of the nonnegative trace norm.
A Hybrid Privacy Preserving against Multi-attacks for Network Data Publication

—Network trace data provides valuable information which contributes to model network behavior, defends network attacks, and develops new network protocols. Therefore, releasing network trace data is highly demanded by researchers and organizations to promote development of network technologies. However, due to the sensitivity of the network track data, it is a potential risk for organizations to publish the original data which may expose their commercial confidentiality and customers’ privacy within their networks. Several methods have been proposed to prevent network track attacks, such as statistical fingerprinting and injection. Unfortunately, they are not sufficient to protect privacy because adversary can use more background knowledge to reach the intended attack, and this kind of attack is proved to be used. This paper proposed an attack model named Multi-Attacks by using more background knowledge. For this attack model, it extracts the inherent graphics structure between the source and destination IP addresses in the network trace data and proposes a solution, data swapping, to prevent the target host from being recognized, which is based on k-anonymity. Combined with other protection techniques, our method can effectively prevent this Multi-Attacks model while preserving the data utility and providing formal guarantees of confidentiality protection. And using data swapping method for privacy protection can provide a more perfect solution, reach a higher level of privacy protection and guarantee good data utility related to the anonymity-based approach. Lastly, our proposed algorithm is applied to different real datasets and demonstrate its effectiveness over several existing network trace data anonymization techniques.
Electric System Layout Optimization of Offshore Wind Farms

This paper aims to minimize the total investment and operating cost of electric system of a large-scale Offshore Wind Farm (OWF). An optimization problem is formulated that simultaneously optimizes the electrical configuration and cables size (cross-sectional area) of the interconnection and transmission systems, and offshore components such as HV and MV switchgears, offshore substation platforms and transformers. Moreover, apart from the total investment cost, the annual cost of electrical power losses is incorporated into the objective function as an operating cost forming a multiobjective optimization problem. The problem is then solved by an integer-based genetic algorithm. In order to demonstrate the effectiveness of the proposed algorithm, the obtained optimal results are compared with another study for a real OWF, under identical conditions and constraints. Simulation results show that the obtained optimal electric configuration in this paper results in a lower total investment cost and power losses.
Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science The Distribution of Larval Fishes of the Charleston Gyre Region off the Southeastern United States in Winter Shaped by Mesoscale, Cyclonic Eddies

Serial, cyclonic, mesoscale eddies arise just north of the Charleston Bump, a topographical rise on the continental slope and Blake Plateau, and characterize the U.S. outer shelf and upper slope in the region of the Charleston Gyre. This region was transected during the winters of 2000, 2001, and 2002, and hydrographic data and larval ﬁshes were collected. The hydrodynamics of the cyclonic eddies of the Charleston Gyre shape the distribution of larval ﬁshes by mixing larvae from the outer continental shelf and the Gulf Stream and entraining them into the eddy circulation at the peripheral margins, the wrap-around ﬁlaments. Over all years and transects (those that intercepted eddies and those that did not), chlorophyll a concentrations, zooplankton displacement volumes, and larval ﬁsh concentrations were positively correlated. Chlorophyll a concentrations were highest in ﬁlaments that wrapped around eddies, and zooplankton displacement volumes were highest in the continental shelf–Gulf Stream–frontal mix. Overall, the concentration of all larval ﬁshes declined from inshore to offshore with highest concentrations occurring over the outer shelf. Collections produced larvae from 91 ﬁsh families representing continental shelf and oceanic species. The larvae of shelf-spawned ﬁshes—Atlantic Menhaden Brevoortia tyrannus , Round Herring Etrumeus teres , Spot Leiostomus xanthurus , and Atlantic Croaker Micropogonias undulatus —were most concentrated over the outer shelf and in the continental shelf–Gulf Stream–frontal mix. The larvae of ocean-spawned ﬁshes—lanternﬁshes, bristlemouths, and lightﬁshes—were more evenly dispersed in low concentrations across the outer shelf and upper slope, the highest typically in the Gulf Stream and Sargasso Sea, except for lightﬁshes that were highest in the continental shelf–Gulf Stream–frontal mix. Detrended correspondence analysis rendered groups of larval ﬁshes that corresponded with a gradient between the continental shelf and Gulf Stream and Sargasso Sea. Eddies propagate northeastward with a residence time on the outer shelf and upper slope of ∼ 1 month, the same duration as the larval period of most ﬁshes. The pelagic habitat afforded by eddies and fronts of the Charleston Gyre region can be exploited as nursery areas for feeding and growth of larval ﬁshes within the southeastern Atlantic continental shelf ecosystem of the U.S. Eddies, and the nursery habitat they provide, translocate larvae northeastward.
Magnitude of Prelacteal Feeding and Its Associated Factors among Mothers Having Children Less than One Year of Age: A Community-Based Cross-Sectional Study in Rural Eastern Zone, Tigray, Ethiopia

Background. Prelacteal feeding is an obstacle to optimal breastfeeding practices in developing countries. It directly or indirectly affects the health of the infants. Despite its importance, this issue has received little attention in Ethiopia. As a result, this study aimed to assess prelacteal feeding and associated factors among mothers of children aged less than 12 months in the rural eastern zone, Tigray, Ethiopia.Methods. Community-based cross-sectional study design was employed. The final sample size was 828, and the multistage sampling technique was used. Pretested and structured interviewer-administered tool was used for data collection. Data were entered, coded, and cleaned by Epi-Info version 7 and analyzed by using SPSS 22.0. Multivariable logistic regression was used to control the effect of confounding.Results. Eight hundred three mothers participated in this study. During the first three days after birth, 198 (24.7%) mothers practiced prelacteal feeding. Parity (AOR: 1.52, 95% CI: 1.04–2.23), late initiation of breastfeeding (AOR: 1.83, 95% CI: 1.30–2.59), and colostrum discard (AOR: 1.57, 95% CI: 1.06–2.33) were strongly associated with prelacteal feeding practice.Conclusion and Recommendation. One-fourth of participants practiced prelacteal feeding. Late initiation of breastfeeding, colostrum discard, and parity were significant determinants of prelacteal feeding. Awareness creation and health education concerning the advantages of early initiation of breastfeeding and the importance of colostrum during their health visits is necessary.
West Nile Virus: An Emerging and Reemerging Infectious Disease

West Nile Virus (WNV), a flavivirus of the Flaviviridae family, is maintained in nature in an enzootic transmission cycle between birds and ornithophilic mosquito vectors, although the virus rarely infects other vertebrates. WNV causes disease in horses and humans, which develops febrile illness, meningitis, encephalitis and flaccid paralysis. Until recently, its medical and veterinary health concern was relatively low; however, the number, and severity of outbreaks with neurological consequences in humans and horses have increased in European countries and the Mediterranean basin. Since its introduction in the America, the virus spread across the continent with worrisome consequences in bird mortality and a considerable number of outbreaks among humans and horses, which have developed in the largest epidemics of neuroinvasive WNV disease ever documented. Even great advances have been obtained lately regarding WNV infection, and although efficient equine vaccines are available, no specific treatments or vaccines available for human use. This review updates the most recent investigations of WNV particularly pathogenesis, transmission dynamics, host range, clinical symptoms, epidemiology, diagnosis, control, and prevention, and highlights some approaches that certainly require further research.
Isolation, cloning and expression of novel metallothionine type II protein from Colocassia esculentum

In the present study Colocassia esculentum, a herbaceous monocot, exhibited significant potential of Cd, Ni, Cr, Pb and As accumulation was taken for the molecular characterization of metallothionein protein. Molecular analysis revealed four Cys-Xaa-Cys motif at C-terminal domain of Colocassia esculentum metallothionein gene apart from three such motifs at the C- terminal region. Additional CysXaa-Cys motifs provide structural flexibility, probably leading to higher metal accumulation in the plant. Successful expression of the metallothionein type-II protein in E. coli will be a useful tool for the improvement of hyperaccumulators through genetic engineering. This is the first report on isolation and expression of novel metallothionein gene from Colocassia esculentum .
A new role for effort dynamics in the theory of harvested populations and data-poor stock assessment

Research shows that population status can be predicted using catch data, but there is little justification for why these predictions work or how they account for changes in fisheries management. We demonstrate that biomass can be reconstructed from catch data whenever fishing mortality follows predictable dynamics over time (called “effort dynamics”), and we develop a state-space catch only model (SSCOM) for this purpose. We use theoretical arguments and simulation modeling to demonstrate that SSCOM can, in some cases, estimate population status from catch data. Next, we use meta-analysis to estimate effort dynamics for US West Coast groundfishes before and after fisheries management changes in the mid-1990s. We apply the SSCOM using meta-analytic results to data for eight assessed species and compare results with stock assessment and data-poor methods. Results indicate general agreement among all three methods. We conclude that effort dynamics provides a theoretical basis for using catch data to reconstr.
Assessing the Quality of Tourist Experiences in Venice, Italy

The city of Venice, Italy experiences massive surges of tourists into their city on a daily basis for a total of 23 million tourists entering the city limits every year. The tourists cause overcrowding in the city that results in blocked roads, slow-moving traffic, and impassable bridges. Nonetheless, tourists continue to visit the city of Venice. This project focuses on researching the elements of the tourist experience. We designed a survey that will be administered to the tourists of Venice to assess their overall tourist experience. This information should answer questions of how tourists are affected by over-tourism in Venice. Additionally, we will redesign an online tool used to characterize and estimate the tourists entering Venice on a daily basis.
Existence of Solutions with Asymptotic Expansion of Linear Partial Differential Equations in the Complex Domain

Consider the linear partial differential equation P (z, ∂z)u(z) = f(z) in C , where f(z) is not holomorphic on K = {z0 = 0}, but it has an asymptotic expansion with respect to z0 as z0 → 0 in some sectorial region. We show under some conditions on P (z, ∂z) that there exists a solution u(z) which has an asymptotic expansion of the same type as that of f(z). §0. Introduction Let P (z, ∂z) be a linear partial differential operator with holomorphic coefficients in a neighborhood Ω of z = 0 in C and K = {z0 = 0}. Consider the equation P (z, ∂z)u(z) = f(z), (0.1) where f(z) is holomorphic except on K, but f(z) has an asymptotic expansion f(z) ∼ ∑ n fn(z ′)zn 0 as z0 → 0 in some sectorial region with respect to z0. In the present paper we study the existence of solutions. Firstly we remark that if we require nothing about the behavior of u(z) near K, there exists a solution u(z) with singularities on K under some conditions on the principal symbol of P (z, ∂z). But the singularities of u(z) may be much stronger than those of f(z) (see [1], [2], [5] and [9]). Communicated by T. Kawai. Received April 18, 2001. Revised May 17, 2002 and March 3, 2003. 2000 Mathematics Subject Classification(s): Primary 35A20; Secondary 35B40, 35C20.
The Effects of Brand Awareness, Perceived Quality and Influencers on Purchase Intention of American and South Korean Smartphones – A Study of Consumers in Thailand

This research investigates factors which influence purchase intention of smartphones, including brand awareness, perceived quality and information seeking from influencers. Additionally, a potential impact of different brand origins is assessed by comparing an American brand and a South Korean brand. The results indicate that brand awareness, perceived quality and information seeking from influencers are positively related to purchase intention. The positive effect of brand awareness on purchase intention is significantly higher for the South Korean brand than the American brand. However, different brand origins do not moderate the relationship between perceived quality and information seeking from influencers, and purchase intention.
A Rare Form of Pott’s Disease With Multifaceted Pathological Complications

While tuberculosis is globally very prevalent, especially in the developing world, tuberculosis of the central nervous system (CNS) (including Pott’s `disease) is an extremely rare occurrence for neurology/neurosurgery departments in the modern era. It is normally treated via rifampin, isoniazid, pyrazinamide, and ethambutol (RIPE) therapy with the need for surgical intervention deemed by the presence of neurological deficiency or abscess, spinal instability, or significant kyphosis. Here we describe a case of an elderly woman with Pott’s disease and a history of HIV presenting with neurologic deficiencies in both legs and an infected mass causing mid-thoracic compression and kyphotic deformity. The presence of a compromised immune system greatly complicates treatment and worsens outcomes. The patient underwent trans-thoracic corpectomy for decompression and mass removal. Spinal realignment was accomplished with an anterior graft, using the patient’s rib, preceding posterior stabilization with instrumentation. Postoperatively, the patient received RIPE therapy. Despite a compromised immune system, the full neurologic function of both legs was restored in four months.
Forward-Security Under Continual Leakage with Deterministic Key Updates

In the setting of continual-leakage (CL) — Brakerski et al., Dodis et al., FOCS 2010 — the secret key of a cryptographic scheme evolves according to time periods; the adversary gets some bounded leakage function of its choice applied to the current secret key in each time period. This model necessitates a randomized key update procedure, as otherwise the adversary can leak a future secret key bit by bit over time. Unfortunately, this is a major source of difficulty, for example in handling leakage on updates. On the other hand, the above reason why a randomized key update procedure is required is arguably unsatisfying, since in practice a leakage function will not continually compute the update procedure and leak a future key in whole. Our goal is to provide a general security model for continual leakage with deterministic key updates, and constructions that improve in various respects on prior work. In fact, as described below we incorporate forward security into our model as well. For our basic security model we take an entropy-based approach, leading to a model we call entropic continual leakage (ECL). In the ECL model, the adversary is allowed to make a limited total number of leakage queries that, as in CL, can depend arbitrarily on other keys (in particular, we do not completely bar the leakage function from “computing the update procedure”), but an unlimited total number of what we call “local” leakage queries. The latter does not decrease computational entropy of other keys. Hence, in some sense, the local leakage queries do not compute the key update procedure. Another major benefit of allowing deterministic key updates is that we can more readily incorporate forward security (FS) in our constructions, recently pointed out by Bellare et al. (CANS 2017) to be an important security hedge in this context. This is because techniques for achieving FS often require deterministic updates. Accordingly, we also introduce the FS+ECL model (which is in fact incomparable to the CL model). We target this enhanced model for our constructions and provide constructions of public-key encryption (based on non-interactive key exchange) and digital signatures (based on identification schemes) that improve over the assumptions or leakage rates of the FS+CL schemes of Bellare et al. These results demonstrate the feasibility of improved constructions in our more realistic model. Finally, as a result of independent interest, we present a public-key encryption scheme in the FS+CL model (with randomized update) that improves on both the assumptions and leakage rates compared to the scheme of Bellare et al.
CARACTERIZACIÓN DE PROPIEDADES MECÁNICAS DEL BANANO (Cavendish Valery)

Bananos (Cavendish Valery) fueron sometidos a cargas de compresion unidireccional usando un analizador de textura TA-XT2i. Los resultados de las pruebas de fuerza de fractura a flexion y compresion mostraron que tanto el producto en su estado natural y su pulpa tienen una resistencia mayor a flexion que a compresion. Los modelos estadisticos indicaron que las propiedades mecanicas del producto definidas en firmeza, fractura y modulos elasticos son altamente dependientes del tiempo poscosecha. Situacion similar ocurrio en la caracterizacion fisico-quimica.
Time Perception: An Indispensable Trait of Robotic Cognition

—The capacity to experience and process time is fundamental for many of the human daily activities. However, cognition in artiﬁcial systems is currently not modulated by temporal features as humans experience them and this fact greatly obstructs robotic agents in developing sophisticated cognitive skills. The current paper focuses on the ability of robotic agents to experience and process the ﬂow of time, arguing that artiﬁcial cognitive procedures are necessary to be not only embodied, but also “entimed”, in order to facilitate the seamless integration of artiﬁcial agents into the inherently time-structured dynamic world.
AUTOMOTIVE NIGHT VISION ALGORITHM FOR DETECTION OF THE LIGHT MOVING OBJECTS

In this paper, the authors present an automotive night vision algorithm that automatically detects the light moving objects present in car traffic. The system is part of a more complex project aimed at controlling a vehicle's headlamps based on the analysis of an image stream recorded by the video camera installed on the vehicle. The algorithm consists in image conversion, segmentation, grouping and filtering techniques, validation for the detected objects and a method for sending the resulted information to the headlights’ controller. Running and simulating the application was done through a WiFi connection between the controller and the computer. System testing is done independently from the whole headlight system, but during real life scenarios, at night time.