Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel approach to determining piezoelectric properties of nanogenerators based on PVDF nanofibers using iterative finite element simulation for walking energy harvesting

This study presents the experimental characterization and finite element investigation of a piezoelectric nanogenerator based on electrospun poly(vinylidene difluoride) (PVDF) nanofibers walking energy harvesting applications. The piezoelectric response of nanogenerator device was experimentally evaluated under low frequency cyclic impacts using PiezoTester. The impact test was then simulated and the obtained experimental applied force-time curve is implemented into the finite element model as the impactor external force. Based on mentioned procedure, a novel iterative finite element simulation was then introduced to determine the piezoelectric properties of PVDF nanofibers to avoid any redundant experiments. The experimental voltage-time was compared with voltage time obtained from optimized finite element model and a reasonable agreement was achieved between the numerical and experimental curves. Thereinafter, as a case study, a PVDF nanofibers nanogenerator integrated foam (PNIF) was simulated to use as an energy harvester in the shoe insole. The validated finite element model was then constructed to optimize the PNIF elasticity modulus to reach the maximum efficiency of energy harvester during human walking. The results showed that the best efficiency of the energy harvesting is achieved for 211.27 kPa PNIF modulus, which can generate 15.1 V. These results lead to the establishment of engineering design rules in the industrial scale for wearable power harvesting devices in the footwear industry.
ON CLUSTER ANALYSIS A BAYESIAN AND MODEL-BASED APPROACH

Cluster analysis is the automated search for homogenous and cohesive groups in a given data set. Traditional cluster analysis is based on deterministic methods which use measures between objects and objects and centroids to create well separated groups. Despite considerable research, there is little guidance how to handle practical questions such as how many clusters there are and how to handle outliers objects. A model-based approach to cluster analysis is presented. As opposed to the mechanical classi cation used in deterministic clustering, we regard observations as outcomes of di¤erent distributions. A nite mixture model is used, where each probability distribution corresponds to a cluster. This approach opens up for new possibilities. The model is capable to handle groups of di¤erent sizes, shapes, and directions by allowing for di¤erent distributions and parametrization among clusters. In reality, clusters do seldom appear as well separated. The method handles overlapping groups, by taking into account cluster membership probabilities in these areas. In many data sets there are objects not suitable for classi cation. A special approach of this thesis is to create a deviant cluster of larger variance, consisting of these outlier objects. Bayesian inference via Gibbs sampling is used to estimate distribution parameters and proportions between clusters. The method is tested on simulated and real data sets and shows promising results. Model selection by an approximation of Bayes factors is applied, with the purpose of selecting the number of clusters and to decide if a deviant group is to prefer in the model. Keywords: Clustering, Classi cation, Mixture distribution, MCMC, Gibbs sampler, BIC, Deviant group The support from the Bank of Sweden Tercentenary Foundation (Grant no 20005063) is gratefully acknowledged.
TOPOLOGY OPTIMIZATION OF CONTACT PROBLEMS BASED ON ALLEN CAHN APPROACH

The paper deals with a phase field model for formulation and so lution of the topology optimization problems of bodies in unilateral contact c onsisting in the normal contact stress minimization. The contact problem with Tresca friction is g overned by the system of elasticity equations with inequality type boundary conditions. The st ructural optimization problem consists in finding such material distribution within design do main to minimize the normal contact stress along the boundary of the body. The original structur al optimization problem is reformulated in terms of material density function. Moreover the original cost functional is regularized using also surface and bulk energy terms. These terms al low to control global perimeter constraint and the occurence of the intermediate solution v alues. Using Lagrange multiplier approach the derivative of the regularized cost functional with respect to the control variable is calculated. The neccessary optimality condition is formul ated in the form of Allen-Cahn gradient flow equation. The optimal topology is obtained as the ste ady state of the phase transition governed by this equation. This equation is discretized usi ng finite difference and finite element methods. Numerical examples are provided. Andrzej M. Myśliński
Pattern of knowledge and consumption of iron among teachers of reproductive age group in Jammu region: a cross sectional study

Iron is an essential nutrient for humans, and as a cofactor for several enzymes it participates in many metabolic processes essential for sustaining life including oxygen transport, deoxyribonucleic acid (DNA) synthesis, and electron transport. In healthy humans, the body iron input is generated by gastrointestinal absorption of dietary iron. Despite iron’s plenteousness on earth, iron deficiency is extremely common in humans, and is the most prevalent cause of anaemia worldwide. Body iron losses are composed of basal (obligatory) losses, which are quite similar in men and women. In addition, women in the reproductive age have considerable physiological iron losses associated with menstruations, and pregnancies. The iron requirement is significantly increased during pregnancy due to increased iron utilization by the developing foetus and placenta, as well as blood volume expansion. Both iron deficiency and iron overload will affect body functions in negative ways and impair quality of life and survival.
Diclofenac Degradation by Ozone-Based Oxidation Processes: PROMETHEE Method, Kinetic and Cost-Effectiveness Study

ABSTRACT In this study, the treatment of diclofenac (DCF), which is a pain reliever belonging to non-steroid anti-inflammatory drug group, was investigated by ozone-based oxidation processes. In experiments; pH (6–7) and 10 min reaction times were kept constant and the effects of different initial concentrations (5 mg/L, 10 mg/L and 20 mg/L), ozone doses (5 and 8 ppm), power of UV lamps (16 W and 32 W) and catalysts (0.1 g ZnO, In2O3, CuO and Fe2O3) were studied. Initially, studies were performed for the photocatalytic ozone oxidation process to determine which catalyst was more effective in DCF treatment, and study results were evaluated according to the PROMETHEE decision-making method. As a result of the evaluation based on DCF removal, energy consumption and cost parameters, ZnO was chosen as the best catalyst. In the following catalytic and photocatalytic ozone oxidation processes, studies continued with ZnO catalyst. In the second step of the study, the effect of DCF initial concentration, ozone dose and UV light intensity was determined. According to the results of the study, max degradation was obtained 100% in O3/UV/ZnO and O3/UV oxidation processes, at 5 mg/L DCF concentration, 5 ppm ozone dose, 16 W UV lamp and at 4- and 5-min reaction time, respectively. The highest total organic carbon (TOC) removal was obtained 76% in O3/UV/ZnO process. O3, O3/UV and O3/ZnO oxidation processes for 5 mg/L DCF were found to be better suited to pseudo-first-order kinetics rate model.
Dynamic simulation research on the effect of resource heterogeneity on knowledge transfer in R&D alliances

ABSTRACT This paper investigates the effect of resource heterogeneity on knowledge Transfer in R&D alliances based on system dynamics method. Based on literature review, we identify the factors that affect knowledge transfer in R&D alliances, and analyse the effect of the organisational and network resource heterogeneity on knowledge transfer in R&D alliances. On this basis, we use system dynamics method to analyse the causality of the effect of the organisational and network resource heterogeneities on knowledge transfer, establish the model of system flow chart, and use Vensim PLE software to perform simulation and sensitivity analyses of the model. The results show that there is an inverted U-shaped relationship between the organisational resource heterogeneity and knowledge transfer and that network resource heterogeneity has a positive effect on knowledge transfer in R&D alliances. Our research provides valuable insights into the exploitation of resource heterogeneity in R&D alliances to facilitate effective knowledge transfer.
Ontogeny and Population Biology of a Sex-Limited Colour Polymorphism

This study has involved investigation of number of populations of the damselfly Ischnura elegans over several years, looking at frequency changes over time, morphological differences between the sexes and the morphs, differences in growth rate and development time, differences in fecundity between the morphs, and genetic differentiation between populations. I. elegans is a small annual damselfly with three female colour morphs (Androchrome, Infuscans, and Infuscans-obsoleta), one of which (the Androchrome) is considered a male mimic; males are monomorphic. Empirically estimated selection coefficients were used in a population genetic and dynamic model with environmental variation which predicted coexistence of the three morphs. This suggests that negative frequency-dependence on fecundity mediated by male mating harassment is sufficient to explain coexistence of the morphs. Field data also showed that fecundity decreased with increasing frequency in the population for all three morphs. Investigation of sexual dimorphism revealed that the sexes differed in development time, growth rates, and adult size and shape and that sexual size dimorphism is produced in I. elegans by a combination of development time and development rate acting in concert. The female morphs also differed in development time, growth rates, and adult size and shape, although in this case effects of development time and development rate cancelled each other out. In addition, male-like body shape had a negative effect on fecundity in Infuscans-obsoleta females but not in Androchrome or Infuscans females. Quantitative genetic parameters for morphological traits showed that an evolutionary response to selection on body shape is possible. Comparisons of Fst-values and the lack of isolation by distance both suggest that this is a highly dynamic non-equilibrium system, and genetic diversity appears to be influenced by wind direction. The results in this study indicate that the morphs are subject to negative frequency-dependent selection via male mating harassment, and that the differences between the morphs are part of their identity as alternative adaptive strategies.
Noncommutative field theory from an angular twist

We consider a noncommutative field theory with space-time $\star$-commutators based on an angular noncommutativity, namely a solvable Lie algebra: the Euclidean in two dimension. The $\star$-product can be derived from a twist operator and it is shown to be invariant under twisted Poincar\'e transformations. In momentum space the noncommutativity manifests itself as a noncommutative $\star$-deformed sum for the momenta, which allows for an equivalent definition of the $\star$-product in terms of twisted convolution of plane waves. As an application, we analyze the $\lambda \phi^4$ field theory at one-loop and discuss its UV/IR behaviour. We also analyze the kinematics of particle decay for two different situations: the first one corresponds to a splitting of space-time where only space is deformed, whereas the second one entails a non-trivial $\star$-multiplication for the time variable, while one of the three spatial coordinates stays commutative.
Factors for Effective Mobile Computer support Collaborative learning ( MCSCL )

Collaborative learning is widely used in both schools and colleges. However, when working without the support of technology, collaboration becomes less effective. Computer support collaborative learning (CSCL) foster new possibilities for achieving more effective and interesting learning activities. In CSCL, students typically used fixed location as a tool for collaborative learning. Therefore, the focus on tool and lack of collaboration actually happening perhaps led to some uncertainty in initial CSCL trials. A new and emergent area within CSCL is that of mobile computer support collaborative learning MCSCL whereby the use of mobile devices had overcome the limitation posted by desktop computer and make working with collaborative activities more personal and more mobile. This paper explored collaborative learning activities that students perform with the use of mobile devices in Universiti Teknologi Malaysia (UTM), and identify the factors for effective mobile computer support collaborative learning MCSCL's activities. The data has been collected from literature and through survey by questionnaires students from both level postgraduate and undergraduate, in the Faculty Computer Science and Information Systems (FCSIS), UTM Malaysia. Moreover, this study showed the tools that students used to get their tasks done and the best method used for establishing collaborative group as it is identified by the student perception.
Geographic variation in tree bark species preference of Sciurus carolinensis: do invasive grey squirrels in the United Kingdom have a foodie culture?

The Eastern grey squirrel (Sciurus carolinensis) is native to North America but has been introduced into the United Kingdom, where it causes ecological and economic damage by outcompeting the native red squirrel and targeting economically important timber trees. Several hypotheses have been introduced to explain this phenomenon, but little research has pointed out social learning as a possible mechanism for the spread of the behaviour. The analysis of metadata on damaged tree species proportions shows strong tree species selectivity within populations and difference in tree species preferences across geographically separate populations in the United Kingdom. These results suggest that bark stripping is not purely genetic or environmental, but facilitated and spread by learning, supporting possibilities of cultural behaviour in grey squirrels. Management implications and further research steps are discussed.
Rights and Tolerance Support in U.S. Presidential Elections, 1992–2016

Do attitudes toward issues such as abortion, LGBTQ (lesbian, gay, bisexual, transgender, and queer) rights, and tolerance of diversity matter to U.S. voters and elections? Scholarship on rights and tolerance support has failed to take into account the potentially confounding influence of racial resentment as a factor behind voter choice. This is a serious limitation that we seek to address with American National Election Studies data for presidential elections from 1992 through 2016. We bring together for the first time rights and tolerance support and racial resentment, alongside further consideration of anti-immigrant sentiments and white identity. Racial resentment and anti-immigrant sentiments shape the behavior of voters, but there is new evidence for the large influence of rights and tolerance attitudes, including with respect to the 2016 presidential election. The results suggest a growing dependence of Democratic candidates on high levels of rights and tolerance support. We discuss implications for theory and research on voter choice.
Isolation and characterization of a lipolytic and phytase producing probiotic for potential application in poultry feed.

In the current study a total of 35 bacterial isolates from 17 food and fecal samples were examined. Five among those were earmarked as putative probiotic candidates. All the selected isolates survived the low pH conditions of 2.0, and resisted the presence of bile salts (0.02-0.25%) and NaCl (2-14 %), indicating their ability to survive in the gastrointestinal (GI) tract conditions and hence making them suitable candidates for probiotic applications. The selected probiotic isolates showed considerable levels of hydrophobicity indicating their potential adhering properties with the gut epithelium. In addition the five selected probiotic candidates depicted substantial antagonistic action against potent pathogens like Bacillus subtilis, B. cereus, Escherichia coli, Pseudomonas aeruginosa, P. alcaligenes, Staphylococcus aureus and Streptococcus sp. The isolates CM-4 and KD-7 were most remarkable as they inhibited all the pathogens tested including S. aureus and Streptococcus sp. Extracellular enzymatic studies showed that all the five strains produced phytase whereas isolate CM-4 and KD-7 were the only lipase producers found. However no amylase protease activity was detected. Isolate CM-4 was found to be the best among all five as it showed all desirable probiotic features viz. bile salt, NaCl and pH tolerance, maximum hydrophobicity, antagonistic action against pathogens, phytase and lipase activity, therefore was identified by using 16S rDNA sequencing and MEGA BLAST.
Lösungsmöglichkeiten bei fehlgeschlagenen Osteosynthesen – Humerusschaft

Zusammenfassung Bei der operativen Therapie von Humerusschaftfrakturen finden sowohl die intramedulläre Nagel- als auch die Plattenosteosynthese regelhaft Anwendung. Für beide Verfahren kann zwischen Früh- und Spätkomplikationen unterschieden werden. Bei der Nagelosteosynthese werden im frühen postoperativen Verlauf häufiger periimplantäre Frakturen etwa am Tuberculum majus oder im Bereich der Fossa olecrani beobachtet. Bei der Plattenosteosynthese hingegen kommt es häufiger zum Repositionsverlust mit sekundärer Dislokation sowie zu Affektionen des Nervus radialis. Pseudarthrosen als klassische Spätfolge zeigen sich häufiger nach der Nagelosteosynthese. Früh- und Spätinfekte im Bereich des Humerusschafts sind insgesamt selten. In der vorliegenden Arbeit werden Lösungsmöglichkeiten bei fehlgeschlagenen Osteosynthesen des Humerusschafts anhand edukativer Fallbeispiele und der aktuellen Literatur dargestellt.
Association of SNP g.643G>A of MYF5 gene polymorphism with body weight and body measurements in Bali cattle

This study aimedto identify the SNP g.643G>Aof MYF5 genethen associate it with body weight and body size measurements in Bali cattle. Blood samples were collectedfrom 80 bali cattle at BPTU-HPT Denpasar Bali. Data on phenotypic properties observed included; birth weight, live weight, average daily gain, body length, chest depth, withers height, hip height, and heart girth. Polymorphismof the MYF5 gene was identifiedusing the PCR-RFLP method. Association of MYF5 genotypes with body weight and body size measurementswas performed using General Linear Model by SAS 9.4 program. MYF5│MspI gene was polymorphic with three genotypes: AA, AG, and GG. Genotype frequency of AA, AG and GG were 0.04 (3), 0.30 (24), and 0.65 (53), respectively. Allele frequencies were 0.19 and 0.81 for A and G alleles, respectively. Gene frequency analysis showed that Bali cattle at BPTU-HPT Denpasar was in Hardy-Weinberg Equilibrium. Association of MYF5│MspI gene with body weight and body measurement were not significantly different. SNP g.643G>A could not be used as a genetic marker for the body weight and body size measurements in Bali cattle.
Phi Phi Revisited. A Continuation of Disaster Vulnerability?

ABSTRACT This study develops previous research conducted into disaster vulnerability on Phi Phi Island, which resulted in the development of a detailed framework of vulnerability factors intertwined with factors of political economy presenting a post-disaster situation that was highly vulnerable and non-conducive to sustainability. The paper proposes future research directions for identifying and mitigating destination vulnerability. Whilst there has been limited research undertaken from a tourism development perspective in the intervening years, that which exists points again to overtourism and a lack of sustainability. There is growing evidence to suggest that tourist satisfaction has been diminishing for a long time now and that vulnerability has been recreated, creating the conditions for a future disaster.
Title Modulation of Pro-inflammatory Cytokines Expression of the Biofield Energy Healing ( The Trivedi Effect ® ) Based Herbomineral Formulation in Mouse

With the increasing popularity of herbomineral preparations in healthcare, a new proprietary herbomineral formulation was formulated with ashwagandha root extract and three minerals viz. zinc, magnesium, and selenium. The aim of the study was to evaluate the immunomodulatory potential of Biofield Energy Healing (The Trivedi Effect ® ) on the herbomineral formulation using murine splenocyte cells. The test formulation was divided into two parts. One was the control without the Biofield Energy Treatment. The other part was labelled the Biofield Energy Treated sample, which received the Biofield Energy Healing Treatment remotely by twenty renowned Biofield Energy Healers. Through MTT assay, all the test formulation concentrations from 0.00001053 to 10.53 μg/mL were found to be safe with cell viability ranging from 102.61% to 194.57% using splenocyte cells. The Biofield Treated test formulation showed a significant (p≤0.01) inhibition of TNF-α expression by 15.87%, 20.64%, 18.65%, and 20.34% at 0.00001053, 0.0001053, 0.01053, and 0.1053, μg/mL, respectively as compared to the vehicle control (VC) group. The level of TNF-α was reduced by 8.73%, 19.54%, and 14.19% at 0.001053, 0.01053, and 0.1053 μg/mL, respectively in the Biofield Treated test formulation compared to the untreated test formulation. The expression of IL-1β reduced by 22.08%, 23.69%, 23.00%, 16.33%, 25.76%, 16.10%, and 23.69% at 0.00001053, 0.0001053, 0.001053, 0.01053, 0.1053, 1.053 and 10.53 μg/mL, respectively compared to the VC. Additionally, the expression of MIP-1α significantly (p≤0.001) reduced by 13.35%, 22.96%, 25.11%, 22.71%, and 21.83% at 0.00001053, 0.0001053, 0.01053, 1.053, and 10.53 μg/mL, respectively in the Biofield Treated test formulation compared to the VC. The Biofield Treated test formulation significantly down-regulated the MIP-1α expression by 10.75%, 9.53%, 9.57%, and 10.87% at 0.00001053, 0.01053, 0.1053 and 1.053 μg/mL, respectively compared to the untreated test formulation. The results showed the IFN-γ expression was also significantly (p≤0.001) reduced by 39.16%, 40.34%, 27.57%, 26.06%, 42.53%, and 48.91% at 0.0001053, 0.001053, 0.01053, 0.1053, 1.053, and 10.53 μg/mL, respectively in the Biofield Treated test formulation compared to the VC. The Biofield Treated test formulation showed better suppression of IFN-γ expression by 15.46%, 13.78%, International Journal of Biomedical Engineering and Clinical Science 2016; 2(1): 8-17 9 17.14%, and 13.11% at concentrations 0.001053, 0.01053, 0.1053, and 10.53 μg/mL, respectively compared to the untreated test formulation. Overall, the results demonstrated that The Trivedi Effect ® Biofield Energy Healing (TEBEH) has the capacity to potentiate the immunomodulatory and anti-inflammatory activity of the test formulation. Biofield Energy may also be useful in organ transplants, anti-aging, and stress management by improving overall health and quality of life.