Miracle-dz/UniFAR-FTUs huggingface dataset:
It’s complex : studies on the genetics of canine hip dysplasia

This thesis addresses the genetic background of hip dysplasia, a complex hereditary disorder common in many species, including dogs and humans. The highly polygenic nature of hip dysplasia has become evident after many years of arduous research conducted in numerous studies that have explained only a small proportion of the disease heritability in dogs. The studies included in this thesis revealed multiple new loci, a novel regulatory variant for a gene that is imperative to normal joint development and validated numerous loci that have been associated with the disorder. In Study I, genome-wide association analyses uncovered four loci that associated with the disorder with either protective or risk effects. A subsequent targeted resequencing and variant analysis found disease associated variants for multiple genes. Deletion variants in the putative regulatory region of the gene NOG were found to protect against moderate-tosevere hip dysplasia. These variants were shown to downregulate reporter gene expression in vitro. In Study II, different hip dysplasia and osteoarthritis phenotypes were investigated. The genome-wide association analyses revealed three novel loci associated with hip joint incongruity and osteoarthritis. New candidate genes were identified: NOG and NANOS1 for hip joint incongruity and NOX3 and ARID1B for osteoarthritis. In Study III, a total of 21 loci on 14 different chromosomes were validated in acrossand within-breed association analyses in a large cohort of dogs comprised of 10 breeds. One locus was specific to the across-breed data. Neddylation-pathway was found to be significantly enriched in a candidate gene set that included 254 genes from the 21 validated loci. These studies have generated new, long-awaited knowledge about the complex genetic background of hip dysplasia and related osteoarthritis in dogs. They also highlighted that mild hip dysplasia and the more severe disease forms may be induced by partially different genetic factors. Validation of associated loci for hip dysplasia has not been conducted to this extent before these studies, so an important step forward was taken in our latest study. Finally, finding causal variants has been uncommon. The regulatory NOG variants were an exciting finding, although their causality in hip dysplasia is yet to be revealed. Overall, our studies emphasise the complexity of the genetic background of hip dysplasia.
Supplementary Material of Domain Adaptive Image-to-image Translation

Our model contains a base I2I model FA− 7→A+ , two domain adaption submodules FB 7→A and FA7→B , one discriminator D, and one image classification network C. The architecture of FA− 7→A+ depends on the base I2I model, which will not be discussed here. FB 7→A and FA7→B have the same architecture which is defined in Table 1, i.e., both contain three convolutional layers that conduct 4x downsampling, 4 residual blocks, two transposed convolutional layers that upsample the feature map to the original size, and finally a convolutional layer with Tanh activation that produces output of the right shape and scale. The discriminator D stacks several convolutional layers with LeakyReLU, whose architecture is shown in Table 3. The classifier C is a typical CNN with two fully connected layers, whose architecture is shown in Table 4.
An Optimized Packet Transfer through Wireless Network Using Age of Information

The cost for sampling a packet from transmission and transmitting the updates of the status using the wireless channel changes depending on the Age of Information (AoI) constraints. If any error occurs during the process of transmission, the decision lies with the scheduling algorithm to either retransmit the packet or to sample the packet again. Either way, the cost will include both transmission as well as sampling costs. However the aspect of sampling a new packet because of the error will result in increasing the cost of the system. With time average AoI constraint, we have devised a novel optimization technique that uses time average cost. In order to tackle this issue, we propose a decision making algorithm that decides in slots. The proposed algorithm arrives at one of the three solutions based on optimization technique. Accordingly, the user can either remain silent or transmit the old pack or sample the new packet. With the use of simulation results, the optimum performance of the proposed work in terms of AoI and timer average cost is observed and recorded.
ENHANCED ASYNCHRONY IN THE VECTORIZED CONEFOLD ALGORITHM FOR FLUID DYNAMICS MODELLING

The application of a rigorous CFD method and an all-encompassing algorithmic performance optimization method can make possible the CFD simulation of the extremely large-scale problems, which allows simulation of either larger systems, or more detailed simulation of systems that are already simulated. The CFD code has to show both efficient one-node performance and excellent parallel scaling. The record breaking performance on one node has been achieved before with application of the LRnLA algorithm and making use of many core parallelism as well as the vectorization. In the current work, the algorithm is extended for many-node parallelism. The algorithms is characterized by high parallelization degree, small number of node communication events, and may be concisely described and programmed on the base of the previously implemented one-node solution, which is a rare feature among the algorithms with temporal blocking in all four of the spatial and time dimensions.
Approximating shapes in images with low-complexity polygons

We present an algorithm for extracting and vectorizing objects in images with polygons. Departing from a polygonal partition that oversegments an image into convex cells, the algorithm refines the geometry of the partition while labeling its cells by a semantic class. The result is a set of polygons, each capturing an object in the image. The quality of a configuration is measured by an energy that accounts for both the fidelity to input data and the complexity of the output polygons. To efficiently explore the configuration space, we perform splitting and merging operations in tandem on the cells of the polygonal partition. The exploration mechanism is controlled by a priority queue that sorts the operations most likely to decrease the energy. We show the potential of our algorithm on different types of scenes, from organic shapes to man-made objects through floor maps, and demonstrate its efficiency compared to existing vectorization methods.
Network based Control Systems with Uncertain Time Delay using Model Matching and Pade Approximation

This paper presents a control design for networked control systems (NCS) with uncertain time delay using model matching. The dynamics of the time delay are approximated through the Pade linearization and the uncertain delay term is recursively estimated by the recursive least square (LS) algorithm. Computer simulation illustrates that the proposed control compares favorably with a recently published control approach.
Incidence and Profiles of Antibiotic Resistance and Virulence Markers of The Escherichia coli O157 Bacteria Recovered From Poultry Meat

Escherichia coli (E. coli) O157 issubstantial foodborne pathogen. The existing survey was addressed to assess the incidence, phenotypic resistance profile and incidence of virulence markers amongst the E. coli O157 isolates recovered from poultry meat. Five-hundred poultry meat samples were collected from Isfahan, Iran.Poultrymeatsamples were cultured and phenotypic antibiotic resistance pattern was deliberated using disk diffusion. PCR was applied to identify the incidence of virulence markers. Forty-four out of 500 (8.80%) poultry meat samples were contaminated with E. coli O157. Duck meat (16%) harbored the uppermost incidence of E. coli O157. Incidence of ehlyA, stx2, stx1and eaeA were 100%, 27.27%, 100% and 100%, respectively. E. coli O157 bacteria exhibited the maximum incidence of resistance against ampicillin (95.45%), tetracycline (88.63%), gentamycin (84.09%)and trimethoprim (38.63%) antibiotics. Incidence of resistance toward imipenem and chloramphenicol were 6.81% and 27.27%, respectively. Poultry meat samples, particularly duck, were considered as reservoir of virulence and antibiotic resistant O157 bacteria. Thoughtful antibiotic prescription and courtesies to the ideologies of food security can condense the hazard of resistant and virulent E. coli O157 in poultry meat.
GAMETOGENESIS AND GAMETE RELEASE OF ULVA MUTABILIS AND ULVA LACTUCA (CHLOROPHYTA): REGULATORY EFFECTS AND CHEMICAL CHARACTERIZATION OF THE “SWARMING INHIBITOR” 1

Gametophytes of Ulva mutabilis Føyn and Ulva lactuca L. were artificially induced to form gametangia by removal of sporulation inhibitors. After this treatment, U. mutabilis gametes were ready for swarming on the third morning after induction, while U. lactuca gametangia needed 1–2 d longer for maturation. Release of gametes of U. lactuca was dependent solely upon exposure to the first light in the morning. Gametangia of U. mutabilis, however, also required sufficient dilution of the swarming inhibitor (SWI). SWI was excreted transiently by both Ulva species early during gametogenesis. While the SWI concentration in U. mutabilis medium remained above the inhibitory concentration until the gametangia were mature, the concentration of U. lactuca‐SWI dropped rapidly below this level. In the presence of sufficient SWI, mature gametes of U. mutabilis remained motionless within the gametangia despite light and open exit pores. However, using SEM, an additional seal was detected within these pores, which probably prevented premature swarming until dilution of SWI and exposure to light. Observations by time lapse microscopy and experiments with the myosin kinase inhibitor BDM suggest that the gametes may be either extruded by the gametangium or leave the exit pore by active gliding motion, driven by a myosin‐like motor protein. The SWIs were purified from both Ulva species, and mass spectral analysis showed their molecular masses (292 Da) were identical.
The Influence of Money Attitude on Students’ Motives to Learn

Attitudes toward money affect many aspects of our lives, especially students who prepare to become the workforce.This article aims to explore how money attitude affectsstudents’motives to learn. Through the process of collecting and analyzing data from 393students in Hanoi, Vietnam, the authors pointed out the influence of money attitudeon students’ learning motivation. The study also found there is a positive significance between money attitude and students’ motives to learn. Therefore, we believe that to change students’ motives to go to university, it is better to change students’ money attitude. Key Word: Money attitude, Motives to learn, Motivation, Student ------------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 08-04-2020 Date of Acceptance: 23-04-2020 ------------------------------------------------------------------------------------------------------------------------------------------
Fine structure of in situ microbial iron deposits

The fine structure of iron deposits produced by Leptothrix spp. from two caverns and a surface spring were observed. In the case of Leptothrix pseudovacuolata, the iron occurred as an amorphous deposit within the cell sheath and the cells contained gas vesicles. In the case of the other Leptothrix spp. , the iron was deposited within the cell sheath either as a hexagonal or fibrillar matrix. In the case of fibrillar iron deposits, fibrils resembling those of the sheath were found within the cytoplasm of the cells. This suggests that the deposition of iron could have occurred within the cells as well as at the cell surface. In some cases, the fine structure of microbial iron deposits could provide a means of distinguishing biological from abiological iron deposition.
L Score as a Novel Anthropometric Measure for Obesity Screening in Adult Individuals: An Exploratory Study

BACKGROUND: Obesity is one of todayâ€™s most neglected public health problems, affecting every region of the world. Early identification of increased weight gain among the population is paramount to prevent the attendant complications associated with obesity. OBJECTIVES: The primary objective of this study was to measure the distribution of L score in the representative population and the secondary objective was to identify an association between L score values and other measures of obesity such as body mass index, waist circumference, waist-to-height ratio, neck circumference (NC), and total body fat percentage. METHODS: This study was conducted in the departments of plastic surgery and endocrinology of a tertiary care institute. The L score (a measure of fullness of the lateral retromalleolar fossa in the lower limb) was assessed in all the participating individuals. Statistical analysis was performed using the Statistical Package for the Social Sciences version 19.0. p < 0.05 was considered as statistically significant in statistical analysis. RESULTS: Among the 50 participants taken in this study, 24 had L score 0, 15 had score 1, and 11 had score 2. The participants with L score 1 and 2 had higher obesity, higher NC, and more body fat percentage compared to those having score 0. All the participants with L score 2 were overweight and had central obesity. CONCLUSIONS: The L score measure has a potential for simple and rapid screening of at-risk population for overweight and obesity.
Sequencing and analysis of a 35·4 kb region on the left arm of chromosome IV from Saccharomyces cerevisiae reveal 23 open reading frames

The complete DNA sequence of cosmid clone 31A5 containing a 35 452 bp segment from the left arm of chromosome IV from Saccharomyces cerevisiae, was determined from an ordered set of subclones in combination with primer walking on the cosmid. The sequence contains 23 open reading frames (ORFs) of more than 100 amino acid residues and the tRNA‐Val2a gene. Five ORFs corresponded to the known yeast genes SNQ2, SES1, GCV1, RPL2B and RPS18A. The DNA sequence for RPS18A is interrupted by an intron. One ORF corresponded to a part of the yeast gene HEX2 at the end of the cosmid insert. Four ORFs encoded putative proteins which showed strong homologies to other previously known proteins, three of yeast origin and one of non‐yeast origin. Two ORFs were classified as having borderline homologies: one had similarity to two protein families and another to two protein products of unknown function from other species. The remaining 11 ORFs bore no significant similarity to any published protein. The complete DNA sequence has been submitted to the EMBL data library, Accession Number X95966.
SSW: Smart Steering Wheel for Real-Time Heart Rate Monitoring of Drivers

It’s very hard to know that Over 467,044 accidents took place specifically on the road in our country in 2018 as per a report revealed by the MoRTH recently. Rapid increasing in numbers of vehicles on the road, stress level of drivers in traffic and even lethargic driving are few reasons for road accidents. Unfortunately, sudden heart attacks of drivers also a reason behind some road accidents; this can be preventable. During driving, monitoring heart rate is not a big deal in today’s hi-tech world. Health monitoring while driving is not only important in daily healthcare, also a prevention of bus accidents. Here the proposed work is designing a smart steering wheel based on the technology so-called the Internet of Things (IoT) that monitors the heart rate and foresees the onslaught of fatigue of a driver; also it shares the location to the rescue team. Pulse sensor, GPS and GSM modules are conjoined into the steering wheel. The setup once it gets powered-up, which transmits the data of a driver’s health condition and get stored in the cloud environment. By this approach, the steering wheel gives the real-time based monitoring. Therefore this work is aiming for the development of a system which includes multiple sensors incorporated with the steering wheel which is capable to measure the pulse rate and alert the rescue team dynamically about the health related data of a driver, to prevent accidents. Keywords— Internet of Things, Steering wheel, Sensors,
Regeneration through sprout formation in Chlorocardium rodiei (Lauraceae) in Guyana

The contribution of sprouts to the long-term survival of Chlorocardium rodiei, following logging was investigated. Differently aged sprout populations on cut stumps were surveyed to determine the numbers of sprouts produced, probability of survival and growth rates. Fifty-five to 70% of the stumps produced sprouts. The proportion of stumps that sprouted was lower for the hollow stumps than for the intact ones and the number of sprouts produced per stump was reduced. No significant correlation was found between stump diameter and the number of sprouts. Some sprouts survived for at least 15 y (usually one per stump), and these had a significantly larger average diameter relative to the sprouts at younger sites. The number of sprouts and the diameter of the largest sprout showed a significant positive correlation, suggesting that the maintenance of the inherited stump root system is shared among the sprouts so that the costs per sprout are reduced. We conclude that sprouting on cut stumps may have the potential to contribute to the maintenance of C. rodiei in the canopy at logged sites.
Low Glitch & Low Power Dual Edge Triggered DType Flip Flops for Integrated Applications

This paper presents Dual Edge Triggered (DET) master slave D-Type flip flops for glitch free, low power, low delay, low silicon area and low Power Delay Product (PDP). This DET master slave D-Type flip flops are compared against the existing DET flip flops using 45nm & 180nm CMOS technology which has been simulated using Cadence Virtuoso. The proposed DET master slave D-Type flip flops has reduced the number of transistors in use for operation, which leads to low glitch, low power and low delay design. Paper consist glitch free DET master slave D-Type flip flops analysis for power, delay and PDP. The proposed DET flip flop is also simulated and implemented for 18nm Fin-FET in Cadence Tool.
The Impact of Subordinate’s Trust in Supervisor and Felt Trust on Subordinate Psychological Empowerment

Empowering employees and building trust in close relationships become more vigorous consideration in the organization for surviving and competing in the business context. The purpose of this study was to examine the impact of subordinate’s trust in supervisor and felt trust on subordinate psychological empowerment. To attain this research objective, we collected data from 110 executive level employees who are working in a reputed garment manufacturing company in Sri Lanka. We used survey method for data collection and used simple linear regression for data analysis. The results of this study showed that the subordinate’s trust in supervisor significantly influence on subordinate overall psychological empowerment. Further, the results showed that subordinate’s felt trust has significant positive effect on subordinate overall psychological empowerment. Based on these findings, we recommend to the management ensure healthy relationships among supervisors and subordinates through effective communication and leadership practices in order to create a sense of empowerment within employees. However, this study based on executive level employees in one garment manufacturing company in Sri Lanka, which hinder the generalizability of our findings.
ANALYSIS OF FACTORS THAT INFLUENCE THE PAYMENT OF DEVIDENTS ON MANUFACTURING COMPANIES LISTED IN INDONESIA STOCK EXCHANGE 2012-2018

This study aims to analyze free cash flow, net profit margins, debt to equity ratio, and company size on dividend payments. The sampling technique used purposive sampling. The research instrument was in the form of documentation of financial statements of banking companies listed on the Indonesia Stock Exchange (BEI) during the 2012-2018 period. The samples used were 5 companies with a total of 21 samples over a period of 7 consecutive years of observation. The analysis technique used in this study is multiple linear regression assisted by SPSS version 22. Based on the results of the t test study, it shows that company size affects dividend payments and free cash flow, net profit margins, debt to equity ratio has no effect on dividend payments.
Quality Assurance and Safety of Crops & Foods

The aim of the study was to evaluate the physicochemical properties, microbiological and textural features of optimised wheat bread formulations consisting of sourdough (A) prepared with two different fermentation methods [spontaneous fermentation (F1) versus starter of lactic acid bacteria (LAB) added fermentation (F2)], instant active dry yeast (B) and wheat bran (C) during their shelf life. The optimised levels for F1 fermentation type 11.45% for sourdough, 1.10% for dry yeast and 1.58% for wheat bran; and for F2 fermentation type 6.99% for sourdough, 1.02% for dry yeast and 38.84% for wheat bran were determined according to results. The acidic content of the sourdough improved the crust thickness, volume and colorimetric properties of the bread, significantly (P<0.05). The effects were much more pronounced in optimised bread (OB)F2. The retrogradation phenomenon during the shelf life was evaluated with the result of rate of staling (RS) and loss of springiness (LS) values which determined by using texture profile analysis parameters, and diferential scanning calorimetry (DSC) thermograms obtained during the shelf life. RS (7.14 for CB, 4.55 for OBF1, and 2.90 for OBF2), and LS (62.1 for CB, 51.6 for OBF1, and 39.7 for OBF2) decreased significantly (P<0.05) by addition of sourdough. Therefore, CB had the most hardness texture at the end of the shelf life. All bread samples exhibited moisture loss during their shelf life especially in the first three days but demonstrated different tendencies. OBF2 sample had the highest moisture content in contrast to CB. Although no endothermic area could be determined on DSC thermograms on day 0, the initial tendency of the bread samples, especially CB and OBF1 was clearly seen. On day 5 thermograms, an increase in endothermic peak areas due to starch retrogradation was observed (413.792 mJ for OBF1, 510.107 mJ for OBF2 and 768.962 mJ for CB). The results showed that sourdough improved the staling properties of bread. We found that the textural properties, the loaf and staling qualities of sourdough breads (OBF1 and OBF2) were higher than that of CB. Furthermore, the F2 fermentation method had a much more pronounced effect in terms of textural properties examined.
Design and Implementation of Smart Transportation System

The purpose of this thesis is to detect and analyze the drivable path and obstacles ahead of the autonomous vehicles by implementing obstacle and path detection algorithms for the navigation of autonomous vehicles on MATLAB. This report presents basic introduction to image processing, its applications. The use of image processing in autonomous vehicles in place of sensors and other hardware equipments is discussed in detail and it presents why image processing is chosen as the procedure to make the autonomous navigation possible. For the complete autonomous navigation, the task is divided into two major parts: obstacle detection and path detection. For obstacle detection and pitch detection, a single frame stereo system is used and for detection of drivable path, decision network approach uses monocular vision system. The methods that I have described about in this report and will be implementing those methods using, stereo images captured from the cameras set up on the vehicle to give the image showing path and obstacle ahead, for the successful execution of my purpose, are defined in this report.