Miracle-dz/UniFAR-FTUs huggingface dataset:
FORENSIC EXAMINATION OF GORAL SAMPLES SEIZED UNDER WILDLIFE OFFENCE CASES IN INDIA USING DNA BASED TECHNIQUES Malay

Gorals are classified under family bovidae (Sub-familyCaprinae) and species Naemorhaedus. The four recognized species of goral (Xiong et. al, 2013), are Himalayan goral (Naemorhaedus goral), two species of Chinese goral (N. caudatus and N. griseus), and fourth species being Red goral (N. bailey). Globally, illegal and unsustainable trade of wildlife parts and product is a major threat to biodiversity and species are getting extinct at an alarming rate over the past two decades (Challender et al. 2015). Gorals are heavily poached for the local consumption of meat, for demand of its fur/hides and horns(Duckworth and MacKinnon, 2008; Yang et al. 2013). Besides these, large part of the illegal trade in mountain species goes unnoticed due to lack of proper vigilance. Above all, mountain ungulates like goral also face sever threats from anthropogenic factors like habitat fragmentation and degradation due to increased pastoral activities, disease transmission through livestock grazing, accidental electrocution from fencing, forest fire etc (Vinod and Sathyakumar, 1999). Owing to its declining population trend and threats posed upon, three species of gorals, viz. N. caudatus, N. griseus and N. bailey are listed as vulnerable under IUCN; whereas N.goral is classified as near threatened FORENSIC EXAMINATION OF GORAL SAMPLES SEIZED UNDER WILDLIFE OFFENCE CASES IN INDIA USING DNA BASED TECHNIQUES Malay Ashvinkumar Shukla1,2*, Bheem Dutt Joshi2, Ved Prakash Kumar2, Satish Kumar1, Anil Kumar Mehta1, Surendra Prakash Goyal2 1Laboratory of Forensic Biology and Biotechnology, Institute of Forensic Science, Gujarat Forensic Sciences University, Gandhinagar 382007, Gujarat, India. 2Wildlife Institute of India, Post Box # 18, Chandrabani, Dehradun-248001, Uttarakhand, India. *(Email Id: malayshukla29@gmail.com)
Probing quantum critical dynamics on a programmable Rydberg simulator

Quantum phase transitions (QPTs) involve transformations between different states of matter that are driven by quantum fluctuations. These fluctuations play a dominant role in the quantum critical region surrounding the transition point, where the dynamics are governed by the universal properties associated with the QPT. The resulting quantum criticality has been explored by probing linear response for systems near thermal equilibrium. While time dependent phenomena associated with classical phase transitions have been studied in various scientific fields, understanding critical real-time dynamics in isolated, non-equilibrium quantum systems is of fundamental importance both for exploring novel approaches to quantum information processing and realizing exotic new phases of matter. Here, we use a Rydberg atom quantum simulator with programmable interactions to study the quantum critical dynamics associated with several distinct QPTs. By studying the growth of spatial correlations while crossing the QPT at variable speeds, we experimentally verify the quantum Kibble-Zurek mechanism (QKZM) for an Ising-type QPT, explore scaling universality, and observe corrections beyond simple QKZM predictions. This approach is subsequently used to investigate novel QPTs associated with chiral clock model providing new insights into exotic systems, and opening the door for precision studies of critical phenomena and applications to quantum optimization.
Discussion Paper Series Tests for Endogeneity and Instrument Suitability

This paper deals with two alternatives to the so-called Hausman test for the exogeneity of instruments, in the context of a model where one or more explanatory variables are possibly correlated with the structural error. These two alternatives are at least as good or better than the Hausman test and are much simpler to carry out. A small Monte Carlo study illustrates this result. (JEL C10, C30, C43)
X Game in the Newsroom : Greedy Bloggers for Picky Audience

The impact of blogs and microblogging on the consumption of news is dramatic. This has been recently quantified, as data from microblogging websites measured the importance of intermediaries in the dissemination of news content to a large audience. In this work, we analyze experimentally and theoretically the dynamics of users serving as intermediaries between the mass media and a general audience. Our first contribution is to describe at a macroscopic level the posting behaviors of today’s social media users, as well as which posting strategies correlate with a user’s popularity. We show that users obey a “filtering law”, meaning that less active users post more popular content on average than more active users; we do this by studying jointly for the first time the volume and popularity of URLs shared by users. We also show that users who selectively post the most important content generally have more followers, across activity levels. We perform this analysis on 10 social media data sets, and show that our observations are consistent across them. As our second contribution, we attempt to understand these posting behaviors by introducing a blog positioning game and showing that it can lead to equilibria in which the needs of a picky audience are optimized, while bloggers are naturally rewarded with followers for the overall system’s improvement. Interestingly, this model predicts that greedy readers often destabilize the system, while a bit of leniency by the readers in choosing bloggers to follow is enough to stabilize it.
Perceived Stress Scale and Cortisol Levels Responses to the Perceived Stress Scale are not Associated with Cortisol Levels or Insulin Resistance in Adults with Type 2 Diabetes

To determine if perceived stress is a risk factor for higher cortisol levels and insulin resistance in type 2 diabetic patients using archival data from the National Survey of Midlife Development in the United States (MIDUS II, Project 4). Type 2 diabetic participants (n = 115) were included in the analyses with a comparison sample of non-diabetics (n = 1,091). Greater perceived stress was not associated with higher cortisol or insulin resistance for type 2 diabetic participants. The perceived stress/ cortisol relationship was not statistically significant for non-diabetic participants and was essentially the same as the type 2 diabetic sample. Methods used to measure stress may differ in their utility for assessing the physiological impact of stress.
Probabilistic Curriculum-based Examination Timetabling

In the literature, the examination timetabling problem (ETTP) is mostly described as a post enrollment problem (PE-ETTP). As such, it is known at optimization time how many students will take an exam and consequently how big a room is needed and which exams should not be held at the same time because of over-lapping student lists. To compute a timetable using this approach, students need to register for exams before the timetable is generated. A direct consequence is that at registration time students have no idea when their exams are being held. Furthermore as timetables are often released at the end of the semester, it is hard for lecturers to plan their other responsibilities accordingly. This leads to a negative reaction from both the student body and the staff holding the exams. In this paper, we describe a curriculum-based examination timetabling variant that is similar to the curriculum-based examination timetabling problem model (CB-ETTP) introduced by Cataldo et al. [1]. The aim of the model introduced in this work is to combine the positive aspects of PE-ETTP and CB-ETTP by the use of machine learning while reducing the problems of the CB-ETTP, namely the overestimation in the number of students taking an exam. We describe an approach to calculate the number of students taking an exam by using old planning data. Furthermore we give an example for integrating the knowledge from past experience as a new soft constraint. Through the addition of this new soft constraint, we get a measure for the robustness of the timetable in respect to the uncertainty in the data. Finally, we present experiments based on real world data from the University of Erlangen-Nuremberg (FAU) showing that the approach gives a good estimation for the number of students with only slight deviations from the actual numbers.
Optimization of laser welding process

Present study is a master thesis in mechanical engineering at Karlstad University in cooperation with SEM AB. The objective for this study was to find and optimize the most important laser welding parameters for a pulsed Nd:YAG laser welding equipment to perform a hermetic sealing between a medium carbon steel actuator cover and a low carbon steel shim. The actuator is a part in the fuel injector for diesel engines which through this weld will be made compatible with the more aggressive fuel ED 95. Laser welding parameters such as effective peak power density, overlapping factor and different laser pulse profiles have been studied. Hardness in the weld, micro structures, weld dimensions as well as visual appearance has been evaluated. Vickers measurements and light microscope has been used. An increased overlapping factor up to 71-75% turned out to lower the hardness in the weld and also lower the range in the weld dimensions, thereby Peak power can be lowered to 0.5 kW as well. This can also help speeding up the welding process. Lower EPPD results in a smother weld surface but worse mixing of materials. This resulted in a carbon gradient in the weld. An EPPD around 13000 W/mm gives a smooth weld surface and at the same time a good mix of welded materials. To lower the hardness in the weld it is more advantageously to increase the numbers of pulses per second than to elongate the heat treating tail of the laser pulse.
Mouse models of USH 1 C and DFNB 18 : phenotypic and molecular analyses of two new spontaneous mutations of the Ush 1 c gene

We mapped two new recessive mutations causing circling behavior and deafness to the same region on chromosome 7 and showed they are allelic by complementation analysis. One was named ‘deaf circler’ (allele symbol dfcr) and the other ‘deaf circler 2 Jackson’ (allele symbol dfcr-2J). Both were shown to be mutations of the Ush1c gene, the mouse ortholog of the gene responsible for human Usher syndrome type IC and for the non-syndromic deafness disorder DFNB18. The Ush1c gene contains 28 exons, 20 that are constitutive and eight that are alternatively spliced. The dfcr mutation is a 12.8 kb intragenic deletion that eliminates three constitutive and five alternatively spliced exons. The dfcr-2J mutation is a 1 bp deletion in an alternatively spliced exon that creates a transcriptional frame shift, changing 38 amino acid codons before introducing a premature stop codon. Both mutations cause congenital deafness and severe balance deficits due to inner ear dysfunction. The stereocilia of cochlear hair cells are disorganized and splayed in mutant mice, with subsequent degeneration of the hair cells and spiral ganglion cells. Harmonin, the protein encoded by Ush1c, has been shown to bind, by means of its PDZ-domains, with the products of other Usher syndrome genes, including Myo7a, Cdh23 and Sans. The complexes formed by these protein interactions are thought to be essential for maintaining the integrity of hair cell stereocilia. The Ush1c mutant mice described here provide a means to directly investigate these interactions in vivo and to evaluate gene structure–function relationships that affect inner ear and eye phenotypes.
A Test for the Pollution Haven Effect in the Selected EU-Asian Countries

The pursuit of sustainable development requires balancing the objectives of FDI, Trade, economic growth and environmental protection. Achieving a balance between these often-conflicting priorities is difficult enough at the national level, where competing interests are at least grounded in a common environmental, social and economic context. At the international level, where different countries have vastly different circumstances and priorities, it is significantly harder. One of the many ways in which this challenge manifests itself in the real world is in the conflict between the desire to promote trade by reducing non-tariff barriers and the desire to protect the environment and health through the use of technical regulations and standards. As competition becomes more global, people are concerned that relatively lenient environmental regulation and lax enforcement in developing countries give them a comparative advantage in pollution intensive goods. Lowering trade barrier may encourage a relocation of polluting industries from countries with strict environmental policy to those with lenient policy. These shifts may increase global pollution, as countries become reluctant to tighten environmental regulations due of their concerns over comparative advantage in international trade. Therefore, trade and FDI may encourage a relocation of polluting industries from countries with strict environmental policy to those with less stringent policy. We call this a pollution haven effect. The pattern of trade depends on which of these effects is stronger. The aim of this paper is to test the validation of the hypothesis of the pollution haven effect on water created by the different industries in the selected countries of Europe and Asia. Overall, our results show that trade liberalization decreases the BOD emission crated by chemical, food, metal, paper and pulp, textile, wood and other industries but it increases this emission crated by clay and glass industry in the selected EUAsian countries.
Microgrid protection by using resistive type superconducting fault current limiter

Energy usage increases day to day. To overcome this usage, nonconventional energy sources are combined with conventional units here the loads, powers and frequency marched at load side and source side. In this work fuel cell, P-V power & wind energies are combined. The combination of these DGs increase fault current levels. Here we are using resistive type superconducting fault current limiters(R-SFCL) to limit the fault currents. SFCL gives a very fast response it limits fault current within the first cycle. It's having good characteristics, as compared to conventional protective devices SFCL gives good response and high efficiency. In this work resistive type superconducting fault current limiter improves the transient stability, voltage profile, power ratings and reduce harmonics at different fault conditions. This work is done by using MATLAB / Simulink.
University of Groningen Chemical analysis of the Fornax Dwarf galaxy

We present a high resolution (R∼ 43 000) abundance analysis of a total of nine stars in three of the five globular clusters associated with the nearby Fornax dwarf spheroidal galaxy. These three clusters (1, 2 and 3) trace the oldest, most metal-poor stellar populations in Fornax. We determine abundances of O, Mg, Ca, Ti, Cr, Mn, Fe, Ni, Zn, Y, Ba, Nd and Eu in most of these stars, and for some stars also Mn and La. We demonstrate that classical indirect methods (isochrone fitting and integrated spectra) of metallicity determination lead to values of [Fe/H] which are 0.3 to 0.5 dex too high, and that this is primarily due to the underlying reference calibration typically used by these studies. We show that Cluster 1, with [Fe /H]=−2.5, now holds the record for the lowest metallicity globular cluster. We also measure an over-abundance of Eu in Cluster 3 stars that has only been previously detected in a subgroup of stars in M15. We find that the Fornax globular cluster properties are a global match to what is found in their Galactic counterparts; including deep mixing abundance patterns in two stars. We conclude that at the epoch of formation of globular clusters both the Milky Way and the Fornax dwarf spheroidal galaxy shared the same initial conditions, presumably pre-enriched by the same processes, with identical nucleosynthesis patterns. ∗ Based on UVES observations collected at the European Southern Observatory, proposal number 70.B-0775 78 chapter 5: HR spectroscopy in Fornax Globular Clusters
Seamless POSIX / OpenMP Thread Migration Across ISA Boundaries

The proliferation of heterogeneous processors has spurred new interest in system software design [19, 16, 4]. Recently, several works have proposed thread migration between heterogeneous instruction set architecture (ISA) CPUs to obtain better performance and energy efficiency [8, 4, 20, 3]. These systems allow developers to write compiled shared-memory POSIX applications and let the system deal with inter-ISA migration details. Currently, they only migrate threads across ISAs at equivalence points [21]. This forces the scheduler to wait long periods for the to-bemigrated thread to reach an equivalence point. Figure 1 shows a histogram of the number of instructions between consecutive migration points in NPB’s [2] CG benchmark. This bi-modal distribution is common in many applications – there are plenty of migration opportunities when calling short functions, but for long functions the scheduler must wait a significant number of instructions before migrating the thread. This prevents the scheduler from quickly adapting execution of workloads, which is especially important as compiled applications are increasingly co-located in datacenters where the scheduler must meet strict performance goals. Additionally, none of these systems simultaneously exploit compute resources across multiple processors for a single application. Figure 2 shows speedup for PARSEC’s [5] vips benchmark using different numbers of threads on an 8-core hyperthreaded Intel Xeon and a 96-core Cavium ThunderX versus sequential execution on the Xeon. The benchmark scales with thread counts, meaning it could potentially gain performance by distributing work across both machines simultaneously. However, it is not clear how to balance the work distribution in consideration of architectural characteristics and system software overheads.
Visual analysis for sports sensor data Visualizing measurements to improve performance

In sports, a lot of measurements are done, but most of the time the researchers lack a good analysis tool, and have to do everything by hand. In this work, we present a design for a visual analysis tool for time-varying data. The tool can be used to inspect and compare sports datasets, and to form hypotheses on what parameter values cause a good performance. This is done using a dimensionality reduction algorithm on the datasets, allowing the user to visually group similar datasets. Different visualizations are designed for scalar data, vector data, angle data and position data. The tool takes previously gathered data from different sports. For example sensor data from a measurement bike, which is created to measure cyclists performance on downhill roads; sensor data from an instrumented skate, which is created to measure speed skaters forces and posture; or movement data from baseball pitchers. This data is visualized in a comprehensible way, in order to be able to extract a ’best way’ of descending, based on the differences between the faster and slower riders; the most efficient power distribution in speed skating, in terms of energy and performance; or the ’fastest and least injury-prone’ trajectory of arm movement in baseball pitching.
TNF Promoter Polymorphisms Associated with Skeletal Muscle Phenotypes in Humans

Title of Document: TNF PROMOTER POLYMORPHISMS ASSOCIATED WITH SKELETAL MUSCLE PHENOTYPES IN HUMANS. Dongmei Liu, Ph.D., 2008 Directed By: Assistant Professor, Stephen M. Roth, Department of Kinesiology Skeletal muscle plays a central role in the overall health of individuals across all ages, and skeletal muscle phenotypes are influenced by both genetic and environmental factors. Tumor necrosis factor alpha (TNF-α), a key player in the innate and adaptive immune responses, has long been recognized as a potent catabolic factor mediating muscle wasting in various pathological conditions. Overproduction of TNF-α has been implicated in the etiology of age-associated muscle loss (sarcopenia). Individual capacities to produce TNF-α vary widely, which is partially attributable to gene sequence variations. The TNF-α coding gene, TNF, is highly polymorphic and single nucleotide polymorphisms (SNPs) in the promoter region of TNF have been implicated for the transcriptional regulation of TNF-α production, and associated with numerous inflammatory and infectious diseases. The purpose of the present study was to investigate the association of muscle phenotypes, including sarcopenia, with 5 TNF promoter SNPs, which are potentially of biological
Applicability of deterministic and Monte Carlo neutron transport models coupled with thermo-fluiddynamics

An overview is given of the recent progress at GRS concerning deterministic transport and Monte Carlo methods with thermal-hydraulic feedback. The development of the time-dependent 3D discrete ordinates transport code TORT-TD is described which has also been coupled with ATHLET. TORT-TD/ATHLET allows 3D pin-by-pin coupled analyses of transients using few energy groups and anisotropic scattering. As a step towards Monte Carlo steady-state calculations with nuclear point data and thermal-hydraulic feedback, MCNP has been prepared to incorporate thermal-hydraulic parameters. Results obtained for selected test cases demonstrate the applicability of deterministic and Monte Carlo neutron transport models coupled with thermo-fluiddynamics.