Miracle-dz/UniFAR-FTUs huggingface dataset:
Residual Resistivity Ratio (RRR) Measurements of LHC Superconducting NbTi Cable Strands

The Rutherford-type superconducting NbTi cables of the LHC accelerator are currently manufactured by six industrial companies. As a part of the acceptance tests, the Residual Resistivity Ratio (RRR) of superconducting strands is systematically measured on virgin strands to qualify the strands before cabling and on extracted strands to qualify the cables and to check the final heat treatment (controlled oxidation to control interstrand resistance). More than 12000 samples of virgin and extracted strands have been measured during last five years. Results show good correlation with the measurements done by the companies and reflect well the technological process of cable production (strand annealing, cabling, cable heat treatment). This paper presents a description of the RRR-test station and the measurement procedure, the summary of the results over all suppliers and finally the correlation between RRR-values of the cables and the magnets
CFD analysis of Shell & Tube Type Heat Exchanger with Baffles

In process industry, majority of heat exchangers are of shell and tube type heat exchangers. Shell and tube type heat exchangers are having different components, in which baffle is used to direct shell side fluid and to support the tubes. But use of segmental baffle produces problem of large pressure drop, flow induced vibration. To overcome these problems one way is to direct the flow as longitudinal on the shell side by use of a new baffle arrangement which will produce the longitudinal flow on the shell side. The baffle is called as Slotted baffle. Present work is focused on a detail description of the baffle geometry and arrangement of a new baffle.
Miniaturized 122 GHz system-in-package (SiP) short range radar sensor

In this paper, a compact (8×8 mm2 package size) short-range, bistatic radar sensor operating at 122 GHz is presented. The goal is to show the feasibility of a SiP solution in a low-cost Surface-Mounted-Device (SMD) package. The millimeter-wave integrated circuit is based on a SiGe-BiCMOS technology which offers an fT of 280 GHz and fmax of 300 GHz. The setup of the radar sensor is introduced and measurement results for frequency-modulated-continuous-wave (FMCW) modulation demonstrate the performance of the radar front end. The targeted application areas are short range distance and speed measurements, which especially gain an advantage for high resolution distance measurements because of the short wavelength at mm-wave frequency. The chip occupies an area of 940 μm × 1450 μm, and dissipates a DC power of 450 mW.
Three types of horizontal cells in the stingray retina: Their morphology and physiology

Histological and electrophysiological features of horizontal cells were studied in the stingray retina in which the ratio of rods to cones was about five to one. There were three distinct sublayers of horizontal cells; external, middle and internal. The type of horizontal cells recorded was identified by dye injection after recording. Relatively thick external horizontal cells sent their short dendrites into both rod and cone terminals to make synaptic contacts. The response recorded from them was not color‐coded but showed a Purkinje shift depending on the adaptational state. Middle horizontal cells were flat and usually two or three of them overlying each other constituted the middle sublayer. Their response, which was difficult to record in the light‐adapted retina, was characterized by a slow time course, a prolongation of the response to bright flashes and a maximum sensitivity in the green region of the spectrum without any sign of Purkinje shift. Internal horizontal cells were color‐coded. They responded with hyperpolarization at shorter wavelengths and with depolarization at longer wavelengths. It was concluded that the internal horizontal cells receive inputs from cones and the middle horizontal cells from rods, whereas the external horizontal cells receive inputs from both rods and cones.
The Effect of Myogenic Factor 5 Polymorphism on the Meat Quality in Chinese Bos Taurus

Summary In the present study, we evaluated polymorphism of myogenic factor 5, involved in growth and meat quality traits. Based on PCR-SSCP technology, a novel missense substitution SNP (single-nucleotide polymorphism) g.1142 A > G was identifi ed in the intron1 region of the MyF-5 gene, it causes an amino acid substitution (1142Glutamine/ Glycine1142). Allele frequencies, gene heterozygosity, eff ective allele number and polymorphism information content of the bovine MyF-5 SNP in three population breeds were determined and evaluated by the χ2 test. Results showed that the polymorphism distribution was not similar in all of the three Bos taurus breeds, the genotype distributions of two cattle breeds Jia xian red and Nanyang did not agree with Hardy–Weinberg equilibrium (P 0.05). Th e A/G allelic frequencies in these breeds were 0.797/0.202, 0.770/0.229, 0.863/0.136 respectively. Th e genotype frequencies in Jia xian red and Nanyang cattle breeds showed moderate diversity (0.25< polymorphism information content <0.5). Furthermore, least squares analysis revealed signifi cant eff ects of genotype on intramuscular fat, rib area and water holding capacity in 510 individuals (P < 0.05). Our result suggests that A1142G SNP can be used as an effi cacious genetic marker for meat quality traits in native Chinese cattle breeds (Bos taurus) but a much large number of animals are required for Marker assisted selection.
COSMETIC CALIBRATION WITH WEIGHTED OBSERVATIONS

In this paper, different cosmetic estimators are obtained, by using different individual weights for auxiliary-variable‟s observations that are still unexplored, and a simulation study is conducted to assess their performance. The results show that these weights are helpful in reducing heteroskedasticity, resulting in minimum SSE and therefore, may be considered as an alternative of linear transformations. Furthermore, it is shown that by using these weights in linear calibration approach, generated calibration estimators are equivalent to those produced by the instrumental approach.
Gravitational Wave Emission from Binary Black Hole Systems

Gravitational Wave observatories are soon to be fully operational in the coming few years. This radiation is very weak and will be buried by background noise and therefore match filtering techniques will be needed to confirm detection. Because of this ,it is necessary to create accurate and efficient models of gravitational radiation that can be used to create libraries of many waveforms. In this work I attempt to create model of gravitational wave (GW) emission from a binary black hole system using full numerical relativity (NR) with the use of the Einstein ToolKit for future comparison with a perturbative method.
Characterization of mutli-material interfaces in polyjet additive manufacturing

Relatively few engineering devices and structures are monolithic, as combinations of materials are often needed to obtain the necessary functionality, performance, weight, and cost requirements. Progress in additive manufacturing now allows multiple materials and even blends of materials to be produced in a single manufacturing process, opening new opportunities for expeditiously achieving functional and performance targets. Just as interactions at interfaces have long been of interest in the area of adhesive bonding, similar issues need to be addressed for printed composite materials. In this study, a Stratasys PolyJet system was used to produce configurations consisting of a soft acrylic layers (TangoBlackPlus) sandwiched by two stiffer acrylic strips (VeroWhitePlus). Several test methods based on the double cantilever beam specimen, a common experimental approach to characterize adhesive performance, were evaluated to characterize the fracture resistance of the assembled layers. Failures nominally occurred at the interface between the two types of materials. Further testing is providing insights into the effects of print direction, postcuring, and interface architecture on the resulting fracture energies. These studies suggest the opportunities for designing printed interfaces with improved performance and durability for multi-material additive manufacturing products.
ACTIVE PERCEPTION FOR FOREGROUND SEGMENTATION : AN RGB-D DATA-BASED BACKGROUND MODELLING METHOD 3 directly extended the traditional codebook algorithm using the 4-channel RGB-D data

Foreground moving-object segmentation is a fundamental problem in many computer vision applications. As a solution for foreground segmentation, background modelling has been intensively studied over past years and many effective algorithms have been developed. However, accurate foreground segmentation is still a difficult problem. Currently, most of the algorithms work solely within the color space, in which the segmentation performance is prone to be degraded by a multitude of challenges, such as illumination changes, shadows, automatic camera adjustments and color camouflage. RGB-D cameras are active visual sensors that provide depth measurements along with color images. We present in this paper an innovative background modelling method by using both the color and depth information from an RGB-D camera. The proposed method is evaluated using a public RGB-D dataset. Various experiments confirm that our method is able to achieve superior performance compared with existing well-known methods. Note to Practitioners—This paper investigates background modelling for foreground segmentation with active perception. Recent RGB-D cameras that leverage the active perception technology have advanced many computer vision algorithms. In this paper, we develop a background modelling method to achieve superior performance by using an RGB-D camera instead of a color camera. Due to the use of the active sensing technology, the proposed method is characterized by its robustness to common challenges. Our method could be used for improving existing infrastructures, such as visual surveillance systems for parking spaces. Moreover, the simple design of our method allows it to be easily deployed on various computing platforms, which facilitates many practical applications that usually require embedded computing devices. However, our method cannot run real-timely at the current status. We believe that it can be further improved using parallel programming techniques to meet the real-time requirement.
The Natural History of Drug-Induced Liver Injury

The development of acute hepatocellular injury with jaundice in patients with drug-induced liver injury (DILI) has been associated with a case-fatality rate of 10 to 50%, depending on the drug involved. This observation, called "Hy's rule," is frequently used by regulatory agencies in assessing the hepatotoxic potential of drugs being tested in clinical trials. Registry studies from Sweden, Spain, and the United States have confirmed the validity of Hy's rule by demonstrating a 9 to 12% mortality rate in consecutive DILI patients. In patients with suspected DILI, the causative agent should be immediately discontinued, and hospitalized patients with severe coagulopathy or encephalopathy should be referred for potential liver transplantation. Recent studies have shown that DILI can infrequently evolve into chronic liver injury including cirrhosis and even liver-related morbidity and mortality in a minority of patients.
A Smart and Secure Home Automation System Using IoT

This paper is based on the development of a model simulating a home automation system with different operation modes which can be controlled by android mobile application. In this work, a smart and secure home automation system is proposed to automatically achieve some activities performed frequently in daily life in order to acquire comfort, freedom and security. This system mainly focuses on three modules such as smart home system, fire security system and burglar security system. This system has three main operating parts. In automation part, it controls and operates the home appliances, regulating it according to the conditions to which it is exposed. The remote mode is achieved using the mobile application that allows the user to control the appliances. Finally, in alarm part it controls the parameters that assure the security of the house when the owner is away from home. The objective of this work is to develop a smart and secure home (SSH) using Internet of Things (IoT) devices which can be controlled and monitored using android smart phone.
A new parity-check stopping criterion for turbo decoding

This paper presents a simple and effective stopping criterion for Turbo decoding. This criterion is based on parity-check scheme, which is totally different from the cross-entropy (CE) based criteria. Simulations show that the proposed scheme achieves about the same performance in terms of bit-error-rate (BER) and saves more iterations, as compared with other well known CE-based stopping criteria. Furthermore, this parity- check scheme unveils the inner oneness of LDPC codes and turbo codes in the perspective of the decoding convergence, which is an original theoretical discovery.
Determination of peroxide value of red fruit oil by FTIR spectroscopy and multivariate calibration

Red fruit oil (RFO) is a rapidly growing commodities, which have comparatively high price than other oils. RFO was obtained through maceration process of red fruit using methanol as solvent, followed by the partition using n-hexane and chloroform to obtain hexane fraction (HF) and chloroform fraction (CF). Antioxidant Butylated Hydroxytoluene (BHT) and α-tocopherol of 200 mg.Kg-1 were added to both fraction respectively. RFOs was subjected at a 100, 150, 180, 200, and 300 ̊C of heat temperature. These RFOs were further subjected to determination of peroxide value (PV) using titrimetric method and Atenuated (ATR-FTIR) spectrophotometry combined with chemometric multivariate calibration. Based on the optimization processes, it can be shown that Attenuated Total Reflectance –Fourier Transformed Infra Red (ATR-FTIR) method combined with Partial Least Square (PLS) can be used for PV determination at 30853610 cm-1 with R2 of 0.997, and standard error calibration of 0.14%. This study indicates that ATR-FTIR spectroscopy can be used to determine PV. While the conventional method were time consuming in sample preparation, ATR-FTIR spectroscopy is capable of determining PV accurately in less than 3 minutes for each sample, it was simple and environmentally friendly.
Pacific Asia Conference on Information Systems ( PACIS ) Summer 7-19-2017 Research Perspective in Enterprise Architecture

The challenges of aligning IT with business triggered the attention towards Enterprise Architecture (EA). Despite the increase interest of academic scholars in EA, there is scarcity of studies that provide an up to date comprehensive research perspective view. The purpose of this study is to examine the research methodologies and theories utilized in EA studies from 2010 to 2016. The study employed Systematic Literature Review (SLR) as method to explore and analyze the literature of EA. The study revealed the research approaches and data collection methods utilized in EA. It shows that case study approach and interviews are the highly used compared to other research approaches and data collection instruments. Furthermore, it pointed out the low employment of theories in EA studies. The study is contributing to the body of knowledge by providing a foundation for novice researchers in the area of EA through detailed discussions of research methodologies and theories which are expected to support them in designing future studies.
PHYSIOLOGICAL AND BIOCHEMICAL RESPONSES IN SOME ALMOND (PRUNUS AMYGDALUS BATSCH.) GENOTYPES (GRAFTED ON/GN15) SUBMITTED TO DROUGHT STRESS

The concept of plants reactions to drought conditions is important for improving water-use efficiency (WUE). In this research several physiological traits including: relative water content (RWC), leaf water potential (Ψw), photosynthesis rate (PN), stomatal conductance (gs), leaf temperature (ΔT), electrolyte leakage (EL) of five almond genotypes grafted on/ GN15 rootstock, which exposed to drought stress were studied. Drought tolerance according to some parameters was specified in different genotypes. In all genotypes, as the level of drought severity increased, RWC (up to 32%), Ψw (up to -3.38Mpa), photosynthesis rate (up to 70%) and leaf stomatal conductance (up to 75% ) significantly decreased; whereas, electrolyte leakage (up to 53%), and leaf temperature increased. Water deficit significantly elevated WUE more than 7 times in the drought-resistance genotypes. The differences in ΔT in the early morning and midday significantly decreased in droughttolerant genotypes. Significant (p≥0.01) correlation between ΔT, PN and gs were found. It can be concluded that ΔT might be utilized as an easy evaluation in order to estimate drought stress in almond genotypes and controlling drought stress in the irrigation programs of almond trees. In other words, in comparison, “Ferragness” cultivar, “Sahand” and H genotypes on GN15 rootstock could act more efficiently than other genotypes, especially during severe drought stress conditions. This is related to decreases in stomatal conductance and more ability to maintain RWC.
Algorithms for Histogram Equalization in Image Enhancement and Link Prediction in Social Networks

Data processing method is exploited to obtain the expected results by processing and analyzing the input data. In this research, we have focused on processing image and social network data in the area of image processing and social network analysis respectively by using data processing method. Gray-level context-driven histogram equalization and community-adaptive link prediction are proposed for image processing and social network analysis respectively. The abstractions of these two data processing methods are as follows. First, histogram equalization, which redefines the distribution of gray-levels in an image, is an important step in image processing to enhance the image quality. Until now, numerous histogram equalization techniques have been proposed, among which the majority of them have focused on solving the problem of how the gray-levels in the histogram of an input image should be properly partitioned so that the image produced by collecting all equalization results for the partitioned sub-histograms leads to the quality enhancement of the image. However, the partition based equalization methods have an inherent limitation of not being able to equalize a sub-histogram crossing a partition boundary, which is the main cause of image distortion. In this work, we propose a gray-level context-driven histogram equalization method to overcome this limitation. In short, rather than constraining disjoint mapping ranges of the gray-levels among the partitions, we devise two enabling techniques: (1) a mapping range for each gray-level with no range-disjoint constraint and (2) a mapping distance between two adjacent gray-levels to make a full exploitation of mapping flexibility of gray-levels. We formulate the histogram equalization problem integrating the two techniques into a flow optimization problem in a specially designed structure of a network, and solve it globally and efficiently. In addition, we seamlessly combine the factor of power consumption into our network flow optimization formulation to make an easy trade-
EIP-AGRI Focus Group Robust & Resilient Dairy Production Systems Mini-paper – Farm Management Strategies to increase Robustness and Resilience of Farming systems

Intro: Dairy production systems European-wide face relevant changes. Open markets with (almost) no state driven regulation like the former Milk quota system on production anymore, growing and expanding farms and cow numbers per farm will give new challenges for the farm enterprise and it will request advanced and new skills for dairy entrepreneurs to stay in the business with a long term perspective. Market partners as well as dairy processing companies will be in competition for the home market (EU) and for an amount of milk and milk products to be exported in non EU countries and worldwide. The rising demand for high quality food (via a rising number of so called mid class consumers who demand valorised dairy products) both gives risks and opportunities to the dairy industry, for both producers and processors. Due to the fact that farm enterprises are growing, the amount of foreign capital, of hired labour and possibly of not owned but rented land will increase. Farm financing, financial liquidity (in times of poor milk prices) and commercial viability must be secured to keep the entire dairy enterprise robust enough for a “permanent” volatile income situation in the future. Times of stress and (financial) imbalance are easier to be survived when the farm enterprise shows resilience, i.e. is in the position to adapt and to counter threats and challenges. Robustness – the ability to quickly regain stability (HUSDAL, 2008) is essential on dairy farm operations, considering that modern dairy farms must a have an economic perspective to secure the farm ́s existence and development in a certain time frame. The end of the quota era on the 1 of April 2015 has been a revolution in the regional, national and European dairy chains. The market liberalization increased concurrency among the dairy companies but also in a second time among dairy regions. Though our common goal remains the competitiveness of farms inside a whole dairy chain. The new market situation led rapidly to a
The relationship of cardiovascular risk factors to microalbuminuria in older adults with or without diabetes mellitus or hypertension: the cardiovascular health study.

BACKGROUND Microalbuminuria is a risk factor for coronary heart disease (CHD). It occurs most commonly in the settings of diabetes and hypertension. The mechanisms by which it increases CHD risk are uncertain. METHODS We examined the cross-sectional association of microalbuminuria with a broad range of CHD risk factors in 3 groups of adults aged 65 years or older with and without microalbuminuria: those with (1) no diabetes or hypertension (n = 1,098), (2) hypertension only (n = 1,450), and (3) diabetes with or without hypertension (n = 465). RESULTS Three factors were related to microalbuminuria in all 3 groups: age, elevated systolic blood pressure, and markers of systemic inflammation. In patients with neither diabetes nor hypertension, increasing C-reactive protein levels were associated with microalbuminuria (odds ratio per 1-mg/L increase, 1.46; 95% confidence interval [CI], 1.15 to 1.84). Among those with diabetes, an increase in white blood cell (WBC) count was associated with microalbuminuria (odds ratio per 1,000-cell/mL increase, 2.57; 95% CI, 1.12 to 5.89). Among those with hypertension, an increase in WBC count (odds ratio per 1,000-cell/mL increase, 1.83; 95% CI, 1.04 to 3.23) and fibrinogen level (odds ratio per 10-mg/dL increase, 1.02; 95% CI, 1.00 to 1.05) were significantly associated with microalbuminuria. In all 3 groups, prevalent CHD was related to an elevated WBC count. In none of the 3 groups was brachial artery reactivity to ischemia, an in vivo marker of endothelial function, related to microalbuminuria. CONCLUSION Microalbuminuria is associated with age, systolic blood pressure, and markers of inflammation. These associations reflect potential mechanisms by which microalbuminuria is related to CHD risk.