Miracle-dz/UniFAR-FTUs huggingface dataset:
University of Groningen Students' Perspective on the Impact of English Teacher Development Programs on Teaching Quality in Indonesia Azkiyah,

Finding effective methods for improving teaching quality is crucial because it has been found to be the most important factor in education. This paper compares two approaches of improving teaching quality through a one-year experimental study involving two experimental groups and one control group. The first is the use of education standards and the second is the use of education standards combined with a teacher development program. Teaching quality was measured in four variables: Building classroom as a learning environment (CLE), instruction, questioning, and orientation. In this study, 1255 students and 45 teachers from 43 junior secondary schools in two provinces of Indonesia voluntarily participated. Multilevel modelling was employed and the results indicate that both interventions have significant effects on the outcomes. However, as expected, the second intervention is significant in all variables and has larger effects, whereas the first intervention is significant only in two variables: CLE and questioning. The findings of this research imply the need to have clear and concrete education standards and to enhance these education standards with training sessions to facilitate better teaching quality.
Cultivation and automated image analysis of hydrocarbon-tolerant marine cyanobacteria populations

In this paper we described the cultivation of phototrophic marine microorganisms from two different sources, with special aim to enrich the natural populations with respect to marine cyanobacteria that are able to tolerate (2-5 years) gasoline or diesel up to 5% (w/v). These enriched populations where studied with respect to morphology and physical relationship with hydrocarbon surfaces and with quantum dots using bright field and epifluorescence microscopy, coupled to automated digital image analysis. Key-Words: marine ecosystem, cyanobacteria, cultivation, automated imge analysis, hydrocarbons,
Picking up after sloppy children: What pronouns reveal about children’s analysis of English comparative constructions

The ability to form comparisons between the objects of the world is a basic aspect of human cognition. Natural languages reflect this fact: all languages have syntactic categories that express gradable concepts, and all have designated comparative constructions. However, languages differ in the morphosyntax dedicated to expressing comparisons (Beck et al. 2009; Dixon 2008; Dryer & Haspelmath 2013). Since Bresnan’s (1973, 1975) seminal work on the syntax of the comparative clause construction in English, much research has been done in cross-linguistic investigations of the syntax and semantics of comparatives, such as the examples in (1).
A National Reference Laboratory's interactions with veterinary diagnostic laboratories: example of Q fever, an abortive disease in ruminants and a zoonosis

To improve the control of targeted pathogens affecting animal and plant health, National Re ference Laboratories (NRLs) have been mandated by the French Ministry of Agriculture. Their role involves ensuring that first-line departmental diagnostic laboratories are proficient in ana lytical methods. The NRL for Q Fever (QF-NRL) has developed measures contributing to the strong performance of methods within each laboratory's environment and on the network scale (national surveillance, epidemiological investigation). Following a survey of all (mandated and non-mandated) laboratories, the QF-NRL reports on the interactions between both parties and their interests, and outlines some prospects. Overall, the tools and exchanges (reference materials, validations, adoptions, control charts, inter-laboratory tests) are valued and provide means for determining the performance level of analytical methods and for proactively committing to further improvements. performance of existing serological methods: monitoring of batches of kits using a calibrating RM QF-NRL prior to the proposal of common acceptance criteria, and compared eva-luation of ELISA kits by statistical
Specific Capital , Firm Insurance , and the Dynamics of the Postgraduate Wage Premium

Postgraduate degree holders experience lower cyclical wage variation than those with undergraduate degrees. Moreover, postgraduates have more specific human capital than undergraduates. Using an equilibrium search model with long-term contracts and imperfect monitoring of worker effort, this paper attributes the cyclicality of the postgraduate-undergraduate wage gap to the differences in specific capital. Imperfect monitoring creates a moral hazard problem that requires firms to pay efficiency wages. More specific capital leads to lower mobility, thereby alleviating the moral hazard and improving risk-sharing. Estimates reveal that specific capital explains the differences both in labour turnover and in wage cyclicality across education groups. ∗Department of Economics, University of Essex, CO4 3SQ, UK, email: ran.gu@essex.ac. uk and Institute for Fiscal Studies. I am grateful for the generous support of Richard Blundell, Jeremy Lise, and Fabien Postel-Vinay. I am also thankful for the invaluable advice of Arun Advani, Ben Etheridge, Carlos Carrillo-Tudela, Alex Clymo, Melvyn Coles, Søren Leth-Petersen, Attila Lindner, Costas Meghir, Andreas Müller, Imran Rasul, Jean-Marc Robin, Uta Schönberg, Eric Smith and seminar participants at Bristol, Essex, EIEF, Royal Holloway, IFS, and UCL for helpful comments and suggestions.
EFFECT OF TEMPERAMENT ON MEHSANA BUFFALO

The study was conducted at Livestock Research Station, Sardarkrushinagar on milking behavior in Mehsana buffaloes. Twenty four Mehsana buffaloes were divided into four groups on the basis of parity (1-4 lactation). They were subjected to routine feeding and management practices followed at the farm during the experimental period. Data on milking temperament, let down time, milking time, milk yield and milk flow rate were collected six days in a month at morning and evening milking for six months. The average milking temperament score of Mehsana buffaloes was 1.89. The average let down time for Mehsana buffaloes in Lactation-I (L1), Lactation-II (L2), Lactation-III (L3) and Lactation-IV (L4) was 71.15, 69.22, 62.30 and 56.65 seconds, respectively with overall average of 64.83 seconds. The average milking time observed were 336.25, 363.59, 351.37 and 351.95 seconds inL1, L2, L3 and L4, respectively with overall average of 350.79 seconds. Average milk yield per milking recorded were 3.54, 4.27, 4.07 and 4.44 kg forL1, L2, L3 and L4, respectively with overall average of 4.08 kg. Both months and lactations had significant effect on milk yield. Average milk flow rate recorded were 0.91, 0.98, 0.97 and 1.03 kg/minute in L1, L2, L3 and L4, respectively with overall average of 0.97 kg/minute. Temperament had greatly influenced on all the milking attributes. Best milk ability was performed by docile buffaloes followed by restless, nervous and aggressive. All four milkers had performed equally good showing no significant effect on milking attributes.
Using UV Mutagenesis for Generation and Isolation of Novel Cell Division Cycle Mutants in Kluyveromyces lactis

Cell division cycle mutants, cells with malfunctioning genes that disrupt cell replication and division, have been studied and used in research to better understand the genetic aspect of cancer. The goal of the this research was to create and study novel temperature-sensitive cell division cycle (tsjcdc) mutants that have not been previously Identified or studied in the budding yeast Kluyveromyces lactis. Previous work from Redlands students has yielded ten cdc mutants, created by ethyl methane sulfonate (EMS) mutagenesis, which arrested with large buds and were placed into eight complementation groups. To expand the number and variety of cdc mutants, ultraviolet (UV) light was used to create additional tsjcdc mutants in K lactis because UV has a broad mutagenic spectrum, unlike ethyl methane sulfonate. The screening for ts conditional mutants was performed by overlaying the Images of replica plates at the restrictive temperature onto replica plate Images at the permissive temperature. Using UV mutagenesis, 61 K lactis ts mutants were generated. Screening nine of our ts mutants and eight previously identified ts mutants for the characteristic uniform morphology, bud-size and nuclear configuration revealed five mutants of the cell division cycle. Four of the five cdc mutants found revealed novel phenotypes in this experiment One, UV1BS4.32, displayed the previously seen large-budded phenotype. Two mutants, UV1BS3.27 and UV1BSS.36, showed the novel phenotype of small-budded morphology. The other two cdc mutants UV1BS1.4 and RCY1110 had unbudded phenotypes, which are also new to this research, and possibly new to this species.
The erbium's amphoteric behavior effects on sodium bismuth titanate properties

The effects of erbium doping on lead-free ferroelectric Na0.5Bi0. 5TiO3 ceramics are investigated. The scanning electron microscopy shows a highly dense grain structure for all specimens. A pure perovskite structure was observed by X-ray diffraction for all compositions. However, Raman spectroscopy investigations suggest that Er3þ doping is associated with local structural disorder. Doping with Er3þ ions also leads to photoluminescence effect. The depolarization temperature in the dielectric measurement vanishes gradually as the Er3þ amount increases. The ferroelectric properties display a slight decrease in coercive field for the x1⁄40.01 composition. & 2014 Elsevier Ltd and Techna Group S.r. l. All rights reserved.
Contemporary Media : Influence over Indian Masses

Media refers to means of mass communication such as TV, radio, newspapers, etc. Media, be it any type, reaches the remotest corners of our country. As the literacy rate is increasing, Indians realize the need for more and more information. Newspapers, national and regional, focus on the various aspects of information : political, social, economic, sportive, etc. Radio is also a good source of information and entertainment. It helps a great deal during emergency or some disaster. Like radio, TV, too, is a very powerful media. With a continuous flow of news about business, sports, etc, TV has turned out to be a useful electronic media. Internet is an indispensable tool of our economic sector. In fact, it is required in public and private sectors. The use of computers for teaching is truly innovative which has benefited students of all streams. Whatever the type of media, its duty is to report impartially. But unfortunately media mostly focuses on catchy and exaggerated news to attract readers’ or viewers’ attention. Some newspapers indulge in the malpractice of “paid-news”. Besides, media highlights violence which has a negative influence on juvenile minds. Perhaps the spirit of competition propels it towards indulgence in malpractices. But the fact remains that media is a powerful and useful medium, if it is used with care and responsibility
Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning

This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision-makers. This screening system, designed for application to social media images, includes several key modules: tweet/image downloading, flooding photo detection, and a WebGIS application for human verification. In this study, a training dataset of 4800 flooding photos was built based on an iterative method using a convolutional neural network (CNN) developed and trained to detect flooding photos. The system was designed in a way that the CNN can be re-trained by a larger training dataset when more analyst-verified flooding photos are being added to the training set in an iterative manner. The total accuracy of flooding photo detection was 93% in a balanced test set, and the precision ranges from 46–63% in the highly imbalanced real-time tweets. The system is plug-in enabled, permitting flexible changes to the classification module. Therefore, the system architecture and key components may be utilized in other types of disaster events, such as wildfires, earthquakes for the damage/impact assessment.
The role ofDsb proteinsofGram-negative bacteria in theprocess of pathogenesis

Tertiary and quaternary structures of extracytoplasmic proteins containing more than one cysteine residue often require introduction of disulfide bonds. This process takes place in an oxidative environment, such as the periplasm of Gramnegative bacteria, and is catalyzed by Dsb (disulfide bond formation) proteins. Mutations in dsb genes influence the conformation and stability of many extracytoplasmic proteins. Thus, many pathogens become partially or fully attenuated due to improper folding of proteins that act as virulence factors. This review summarizes the current knowledge on Dsb proteins and their effect on the pathogenicity of Gram-negative bacteria. The potential application of Dsb proteins in biotechnology is also discussed.
Using Mouse Models to Determine the Effects of Down Syndrome on Mammory Tumors and Lung Metastasis in Mice

Down syndrome, or trisomy 21, is the most common autosomal aneuploidy resulting in a number of phenotypes such as mental retardation, craniofacial bone differences, early onset of Alzheimer's disease, congenital heart failure, and notably an Increased incidence of leukemia and a reduced Incidence of solid tumors. This study Investigated a hypothesized tumor suppressor gene responsible for the phenomenon of a decreased risk of solid tumors In Individuals with Down syndrome. Genetically engineered mice that were either trisomic or monosomic for the 33 genes of the Down syndrome critical region or heterozygous for carbonyl reductase 1 were bred to mice susceptible to developing mammary tumors. The hypothesized numerically altered tumor suppressor genes on mouse chromosome 16, conserved with human chromosome 21, were expected to affect tumor growth and metastasis In the resultant mice when compared to their unaltered, wild type littermates. The mice were genotyped and assessed for tumor latency, multiplicity, and total tumor burden. Lungs were obtained for lung metastasis counts and analysis. Due to the relatively low sample sizes and qualitative data analysis, no definitive conclusions can be made; however, lack of trends Indicative of a tumor suppressor gene affecting the experimental mice suggest this breast cancer model is unaffected by theorized suppressors. Excluding the potential tumor suppressor genes In these models narrows the scope ofthe search for such a tumor suppressor. Efforts could be shifted toward other Down syndrome mode.ls In hopes of identifying a tumor suppressor gene that enables all people, not just those with Down syndrome, to be protected from the development and invasive progression of cancer through the upregulatlon ofthat specific gene.
Fully-Integrated Boost and Buck Converters with High Efficiency and Optimized Inductor Geometry

FULLY-INTEGRATED BOOST AND BUCK CONVERTERS WITH HIGH EFFICIENCY AND OPTIMIZED INDUCTOR GEOMETRY Ahmed Shaltout Advisor: University of Guelph, 2018 Professor Stefano Gregori This thesis presents the modelling, design, and implementation of fully-integrated dc-dc converters. Since simple and accurate integrated inductor models for dc-dc converters are not currently available, the main objective of this thesis is to develop new models and compare the analysis, simulation, and measurement results of a proposed design. To achieve that, the circuit theory of both step-up and step-down converters is first presented in detail. The existing models, developments, and techniques in implementing fully integrated dc-dc converters are also highlighted. Complete mathematical models, which take the relevant losses into consideration for both the step-up and step-down converters, are developed next. A dedicated model for the integrated inductor that is tailored for power converters along with its parasitic resistance is also developed and presented. The proposed inductor model further optimizes the geometry without increasing the area; this consequently maximizes the performance of the inductor. Finally, an overall optimization algorithm combining both the converter and the inductor models is proposed and discussed in detail. Several converter topologies with different inductor geometries are designed and compared. Two step-up and two step-down converters are designed, simulated and compared. Each set contained a circuit with a square inductor and a circuit with the proposed inductor geometry. A fast pulse-width-modulated control system is designed to regulate the converters. Simulation results are presented, demonstrating the improvements in performance and conversion efficiency of the converter based on the proposed inductor geometry over that of the square-inductor based converter. A good agreement between the analytical calculations and the simulated results is reported. A prototype containing the four converters was fabricated in a 65-nm digital CMOS process. The feasibility of fabricating efficient fully integrated dc-dc converters is demonstrated and recommendations for future research are given. Dedicated to my parents
Developing System to Filter Unwanted Texts and Images from Social Network User Wall

In these days, internet is spreading worldwide. One of the chief purpose of use of internet is online social networks (OSNs). OSNs are used on large basis to market products, promote brands, connect people with their family, friends, & society through online communication. But, due to the deficiency of categorization & filtering tools, user acquires all messages which are published on his private space. so, user do not have whole control on the contents that are being posted. So, proposed work explains rule based system that gives permission to users to channelize the filtering criterion applied to their private space, and machine learning classifier able to title the messages automatically based on their content. Unwanted images are possible to filter by extracting and classifying their features like edge, color and shape. Keywords— Online Social Networks (OSNs), Machine Learning, Information Filtering.
THE EFFECT OF ORGANIZATION CULTURE , TEAM CHARACTERISTICS , SUPERVISION , AND INTERPERSONAL RELATION ON TEAM EFFECTIVENESS OF MANAGEMENT CHANGE AT STATE UNIVERSITY OF MEDAN

This study aimed at investigating the effect of organization culture, team effectiveness, team characteristics, supervision, and interpersonal relation on team effectiveness as well as their impacts on organization culture at State University of Medan, Indonesia. Population of this study were all academic units (n=311) at the university particularly ranging from university’s administrators who serve as structural officials and lecturers who serve as administrative officials. In the interest of subject of the study, random sampling technique on the basis of Cochran formula was employed, and thus resulted in 155 people (49.84%). Data were obtained from close-ended questionnaire, and were analyzed under the auspices of Structural Equation Modeling (SEM) analysis with PLS smart software program. The result turned out that four out of seven hypotheses were accepted, whereas the rest of it was rejected. More specifically, the four-accepted hypotheses were found directly in the effect of organization culture on team effectiveness (λ=.685), team characteristics on organization culture (λ=.233), supervision on organization culture (λ=.301), and interpersonal relation on organization culture (λ=.373). However, the three-rejected hypotheses were found directly in the effect of team characteristics on team effectiveness (λ=.063), supervision on team effectiveness (λ=.087), and interpersonal relation on team effectiveness (λ=.114). Notwithstanding such effects, this indicated other indirect significant effects through organization culture, particularly in the indirect effect of team characteristics on team effectiveness (λ=.223), supervision on team effectiveness (λ=.293), and interpersonal relation on team effectiveness (λ=.370). All in all, it was reasonable to conclude that the development of team effectiveness at State University of Medan was achievable in the revitalization of organization culture. In the interest of powerful organization culture, it was necessary to pay attention painstakingly to team characteristics, conduct supervision, and create conducive interpersonal relation.
Integrated Nutraceutical – Nutritional Approaches to Address Equine Leaky Gut Syndrome

Many of the nutrients beneficial for intestinal health are present in normal foods, but their normal daily intake may be too low to exert optimum effects on intestinal barrier function and immune status. Evidence from laboratory and farm production animals strongly supports dietary supplementation with additional nutrients and nutraceuticals, however research in horses remains scarce and inconclusive. Careful consideration of the outcome desired for horses in care, together with the types of nutraceuticals available, is needed to develop effective strategies for maintenance of healthy intestinal barrier function and for treatment of various leaky gut syndromes in horses. This review presents these issues in the context of what is known about the effects of nutraceutical-type nutrients on the mammalian (including equine) g.i. tract and intestinal microbiome with the aim of providing suggestions for the equine situation.
Numerical Treatment of a Generalized Black-Scholes Model for Options Pricing in an Illiquid Financial Market with Transactions Costs

The classical Black-Scholes equation was derived under strict and unrealistic market assumptions. The existence of transactions costs, price slippage and large traders in a financial market that is not perfectly liquid impact heavily on options prices and therefore cannot be ignored. Particularly, the existence of transactions costs and large traders in an illiquid financial market require the implementation of very powerful dynamic hedging strategies which have some feedback effects on the market volatility and drift of the underlying asset and therefore options prices. In such scenarios, the underlying asset needs to be remodeled to incorporate these feedback effects and an adjusted volatility and drift derived in order to accurately quantify stock and options prices. This, invariably, leads to a generalized and nonlinear Black-Scholes Partial Differential Equation (PDE) with an adjusted volatility which is a function of the second derivative of options prices. In this paper, our goal is to derive a European option pricing equation in an illiquid market with transactions costs. The model problem is tackled numerically using a semi-discretization finite difference method known as the method of lines. The effects of embedded parameter on prices of options are graphically and quantitatively discussed. AMS subject classification:
Traffic Classification Based on Swarm Intelligence

In this paper, we propose a new traffic classification method which constructs hierarchical clusters using the features of uncompleted flows. By constructing the hierarchical groups, we can identify the similarity of the groups. If flows of a new application construct a new group in the lower layer, but they are classified in an existing group in the upper layer, the manager can estimate the characteristic of the new application from the characteristic of the existing group. In our method, the hierarchical groups are constructed based on the clustering method called AntTree; the each flow moves over the tree and find the nodes whose similarity to the nodes exceeds the threshold. By setting the threshold based on the number of monitored packets of the flow, we classify the flow if the features of the flow become sufficiently accurate. Otherwise we wait another packets that improve the accuracy of the features. Keywords—Traffic Classification; Hierarchical Clustering; Swarm Intelligence