Miracle-dz/UniFAR-FTUs huggingface dataset:
ASSESSMENT OF GRASS SPECIES DIVERSITY AND WILD ANIMALS ’ OCCURRENCE IN VAN GUJJARS RELOCATED SITE OF THE RAJAJI NATIONAL PARK IN UTTARAKHAND , NORTHERN INDIA

Tall wet grasslands in the northern alluvial flood plains of the river Ganges and Brahmaputra are popularly known as Terai grasslands. Rajaji National Park (RNP) with an area of 820.42 sq km is along the river Ganges in the state of Uttarakhand in northern India and forms part of Terai Arc Landscape, a prime tiger habitat. A study was carried out to estimate the occurrence of the wild animal species after relocation of Van gujjars in Chila and Motichur Ranges of Rajaji National Park. Five Van gujjars relocated sites were selected for the present study i.e. Mundal, Amgadi, Mitawali, Kara (in Chila range) and Koelpura (Motichur Range). Diversity of grass species were recorded during the study period. In addition, we assessed the presence of prey species using 1-0 sampling and in addition to that camera trapping was done in this study site to enumerate the capture rate of carnivore species using markrecapture framework. The different grassland communities indentified are Saccharum spontaneum – Imperata cylindrica which is mainly found on the floodplains of the river beds, Veteveria zizanioides on upland areas, Phragmites karka and Themeda arundinacea on marshy areas. The total diversity of grass was found highest in Mundal (21) and lowest in Khara (11). All the five gujjars relocated sites are being recovery state. The camera traps and sign surveys results revealed that the large carnivores like Tiger, Leopard, Hyena, and Jackal, occupied sympatrically in these areas. Chital and Sambar are the most abundant species in these grasslands. The results revealed that the wild animals are frequently using these grasslands for feeding. Removal of anthropogenic pressure from such places, are effective management tool for the sustainable habitat management and wildlife conservation.
Field effects studies in the Chernobyl Exclusion Zone : Lessons to be learnt

In the initial aftermath of the 1986 Chernobyl accident there were detrimental effects recorded on wildlife, including, mass mortality of pine trees close to the reactor, reduced pine seed production, reductions in soil invertebrate abundance and diversity and likely death of small mammals. More than 30 years after the Chernobyl accident there is no consensus on the longer-term impact of the chronic exposure to radiation on wildlife in what is now referred to as the Chernobyl Exclusion Zone. Reconciling this lack of consensus is one of the main challenges for radioecology. With the inclusion of environmental protection in, for instance, the recommendations of the International Commission on Radiological Protection (ICRP), we need to be able to incorporate knowledge of the potential effects of radiation on wildlife within the regulatory process (e.g. as a basis on which to define benchmark dose rates). In this paper, we use examples of reported effects on different wildlife groups inhabiting the Chernobyl Exclusion Zone (CEZ) as a framework to discuss potential reasons for the lack of consensus, consider important factors influencing dose rates organisms receive and make some recommendations on good practice.
3 PIP Vendor SoC Integrator Foundry User O 1 2 3 ? ? ? O ? ? ? O 4 5 6 O ? O 7 8 ? O ? ? ? C C C O ? ? ?

The globalized semiconductor supply chain is vulnerable to hardware attacks including: Trojans, piracy of intellectual properties (IPs) and/or overbuilding of integrated circuits (ICs), reverse engineering, side-channels, and counterfeiting. In this paper, we explain the threat models, the state-of-the-art defenses, and the metrics used to evaluate the defenses. The threat models outlined in this paper enables one to understand the attacks. Defenses and metrics can help defenders to build stronger countermeasures and evaluate them against other protection techniques using the metrics.
Characterization and frequency of antibiotic resistance related to membrane porin and efflux pump genes among Acinetobacter baumannii strains obtained from burn patients in Tehran, Iran

Objective: To explore the characterization and frequency of antibiotic resistance related to membrane porin and efflux pump genes among Acinetobacter baumannii (A. baumannii) strains obtained from burn patients in Tehran, Iran. Methods: In this cross-sectional descriptive study, 100 strains of A. baumannii isolated from burn patients visiting teaching hospitals of Tehran were collected from January 2016 to November 2017. After A. baumannii strains were confirmed, antimicrobial susceptibility testing was done via Kirby-Bauer disc diffusion method according to the Clinical and Laboratory Standards Institute guidelines. PCR amplification was performed for detection of β -lactamase adeR, OprD, adeS genes among A. baumannii strains. Results: All isolates (100%) were resistant to ceftazidime, cefotaxime, cefepime, ciprofloxacin, and piperacillin, and most isolates indicated high resistance (95%-97%) to meropenem, imipenem, gentamicin, ceftriaxone, trimethoprim-sulfamethoxazole, piperacillin-tazobactam, amikacin, and tetracycline. The most effective antibiotic against A. baumannii isolates was colistin (97% sensitivity), followed by tigecycline. The frequency of OprD, adeS, and adeR genes were 98%, 91%, and 77%, respectively. Conclusions: This study shows that the majority of A. baumannii isolates are highly resistant to the antibiotics most commonly used in burn patients. Also, high distribution of OprD and adeRS genes may be responsible for the observed resistances among A. baumannii isolates that demonstrate the possible role of both efflux pumps in simultaneous of carbapenemase production during antibiotic resistance.
Dissolved Gas Analysis and the Duval Triangle By

Dissolved gas analysis ( DGA ) is widely used to detect incipient faults in transformers. A brief review on the interpretation of DGA in transformers is presented, with a special emphasis on the Duval Triangle method. It is shown how the accuracy of DGA laboratory results can affect the reliability of DGA diagnosis. The minimum gas levels in service above which diagnoses may be attempted are indicated, as well as the gas levels observed before failure. Introduction Several methods of interpretation of DGA in transformers in service are provided in IEC Standard 60599, the IEEE Guide C57.104, as well as in published reviews on the subject. The Duval Triangle method is described in the IEC Standard and in these published reviews, however, users sometimes are not quite at ease with the use of triangular coordinates. One purpose of this paper is therefore to indicate in more detail how to use such coordinates. Another purpose is to present the most recent developments made at CIGRE concerning gas levels in service. This paper is limited to DGA in transformers. It does not address the case of DGA in load tap changer (LTC) accessories, for which specialized diagnostic programs are available, or which is treated elsewhere. Gas formation in service Mineral insulating oils are complex mixtures of hydrocarbon molecules, in linear ( paraffinic ) or cyclic ( cycloaliphatic or aromatic ) form, containing CH3, CH2 and CH chemical groups bonded together. Scission of some of the C-H and C-C bonds as a result of thermal or electrical discharges will produce radical or ionic fragment such as H*, CH3*, CH2*, CH* or C*, which will recombine to form gas molecules such as hydrogen ( H-H ), methane ( CH3-H ), ethane ( CH3-CH3 ), ethylene ( CH2=CH2 ) or acetylene ( CH CH ). ≡ More and more energy is required to form the above chemical bonds. Hydrogen (H2), methane (CH4) and ethane (C2H6) are thus favoured at low energy level, such as in corona partial discharges or at relatively low temperatures ( < 500 °C ), ethylene (C2H4) at intermediate temperatures, and acetylene (C2H2) at very high temperatures ( > 1000 °C ) such as in arcs. Paper insulation is composed of complex cellulosic molecules, mostly in cyclic form, containing CH2, CH and CO chemical groups. The C-O molecular bonds are weaker, resulting in gas formation at temperatures as low as 100 °C, and complete carbonization of paper at 300 °C. The
DESIGNING FOR SHAPE CHANGE A Case study on 3 D Printing Composite Materials for Responsive Architectures

This paper presents the initial stages of a research that aims to develop hydroactive architectural skin systems that respond to environmental humidity. As part of this study, we have developed wood-based bio-composite materials that are 3D printed with wood filament. Shape-changing behavior is not predictable in advance. We developed customized 3D printing protocols to systematically study shape-changing behavior. The paper presents this systematic material study and the prototypes that we have developed.
How an Architect Created Design Requirements

There is an anecdotal view that designers, during a conceptual design process, not just synthesise solutions that satisfy initially given requirements, but also create by themselves novel design requirements that capture important aspects of the given problem. Further, it is believed that design sketches serve as a thinking tool for designers to do this. Then, what kinds of cognitive interaction with their own sketches enable designers to create novel requirements? The purpose of this paper is to answer this question. We examined the cognitive processes of a practising architect, using a protocol analysis technique. Our examinations focused on whether particular types of cognitive actions account for the creation of novel design requirements. We found that intensive occurrences of a certain type of perceptual actions, acts of establishing new relations or visual features on the sketches, are likely to co-occur with the creation of requirements. This suggests that this type of perceptual actions are the key constituent of acts of creating novel requirements, and therefore one of the important actions in sketching activities. This presents evidence of the view that designing is a situated act, as well as has an implication for design education.
Copyright © 2010 Livermore Software Technology Corp. ( 11th Int'l LS-DYNA® Users Conf.-Dearborn, MI, USA-June 6-8, 2010)

Hail impacts represent a threat for aircrafts and their engines. As experimental tests on aircraft engines are expensive and they can not be done in early stages of the development, numerical simulations to predict hailstone impacts on engine blades have to be developed. The purpose of this work is to present a new material model for simulating hailstone impacts on engine blades. Aeronautical industry has already developed numerical models for similar problems of bird impacts using LSDYNA. They simulate the bird using SPH particles to predict projectile failure and Lagrangian solid elements for the blade. In order to simulate hail impact, numerical model for bird strike is used and projectile material is replaced by a new material model. Experimental results show hail has a brittle behavior which is similar to concrete’s, so mechanical behavior may be simulated by an elastic damage model based on Mazars’ law used for concrete. Damage Mazars’ model is improved by adding traction and compression damage and a delay effect is added in order to reduce mesh dependence. This hail law is developed in LS-DYNA code through a user defined material (UMAT), tested on simple cases of plate impact and used for impacts on the aircraft engine blade. This paper presents the existing LS-DYNA models simulating hail impact and their limits and describes hail tests used to study the material law and to develop the numerical model. Validation tests are presented to show out the behavior of hail, effects of model parameters, and the role of delay effect. Hailstone impact tests on an aluminum plate carried out by British Royal Aircraft Establishment (RAE) and Office national d'études et de recherches aérospatiales (ONERA) are used in order to identify the model. An impact on a blade is then simulated with the identified model and is compared with Snecma’s test.
PREDICTING THE ENERGY DISSIPATION RATE IN A MECHANICALLY STIRRED TANK

The fluid kinetic energy dissipation rate in a mechanically stirred tank is an important parameter in relation to many process applications. For example, the dissipation rate controls the rates of break-up or coalescence of bubbles or droplets in various multiphase processes. While the average dissipation rate may be estimated from the power input per unit volume, the details of the spatial distribution of the energy dissipation rate are also very important for many processes. However, energy dissipation rates are difficult to quantify, and in simulations of stirred tanks using computational fluid dynamics (CFD), dissipation rates have generally been poorly predicted. CFD modelling was carried out to investigate the energy dissipation in a tank stirred by a Lightnin A310 impeller, following a configuration for which experimental measurements have been published (see Bugay et al., 2002). Initial modelling results were compared for the k- and Shear Stress Transport (SST) turbulence models, and it was found that the SST model was more accurate in terms of overall flow characteristics; however, dissipation rates were substantially underpredicted. Further development was therefore undertaken, which initially focussed on improving the mesh design and increasing the mesh density. Additional turbulence models were also assessed. Through this work, improved predictions of the dissipation rate were obtained, with integration of the dissipation rate over the tank volume yielding 90% of the expected power input. It was found that ~30% of the energy was dissipated in a small ‘control volume’ around the impeller, compared to an estimate of 40% from measurements. Further modelling was carried out using the Detached Eddy Simulation method. With this approach, the integrated dissipation rate was only 70% of the power input, however the dissipation within the impeller ‘control volume’ was again 30% of the predicted total dissipation.
A multi-year observation of nitrous oxide at the Boknis Eck Time-Series Station in the Eckernförde Bay (southwestern Baltic Sea)

Abstract. Nitrous oxide (N2O) is a potent greenhouse gas and it is involved in stratospheric ozone depletion. Its oceanic production is mainly influenced by dissolved nutrient and oxygen (O2) concentrations in the water column. Here we examined the seasonal and annual variations of dissolved N2O at the Boknis Eck (BE) Time-Series Station located in Eckernförde Bay (southwestern Baltic Sea). Monthly measurements of N2O started in July 2005. We found a pronounced seasonal pattern for N2O with high concentrations (supersaturations) in winter/early spring and low concentrations (undersaturations) in autumn when hypoxic/anoxic conditions prevail. Unusually low N2O concentrations were observed during October 2016–April 2017, which was presumably a result of prolonged anoxia and the subsequent nutrient deficiency. Unusually high N2O concentrations were found in November 2017 and this event was linked to the occurrence of upwelling which interrupted N2O consumption via denitrification and potentially promoted ammonium oxidation (nitrification) at the oxic/anoxic interface. Nutrient concentrations (such as nitrate, nitrite and phosphate) at BE are decreasing since 1980s, but oxygen concentrations in the water column are still decreasing. Our results indicate a close coupling of N2O anomalies to O2 concentration, nutrients and stratification. Given the long-term trends of declining nutrient and oxygen concentrations at BE, a decrease in N2O concentration, and thus emissions, seems likely due to an increasing number of events with low N2O concentrations.
Understanding Consumer Choices and Preferences in Transaction-Based e-Services

The rapid increase in transaction-based e-services creates a challenge for firms: What combination of features should they offer to satisfy consumers while realistically considering operational and financial constraints? This article explores the above question by highlighting similarities and differences in consumer preferences between different segments for a transaction-based e-service. The study employs a Web-based discrete choice experiment, in which 1,430 consumers are offered e-service options, differing from each other in terms of non-web-based and online-only features, price per transaction, and marketing promotions. The results demonstrate that overall, consumer preferences for features of transaction-based e-services differ between offline and online consumers. Furthermore, with increase in consumer usage frequency, interesting trends regarding the relative importance for features are observed. Similarities also exist in consumer preferences between various usage-frequency-based consumer segments. The authors believe that these results have both managerial and research implications for design and operations strategy formulation for transaction-based e-services.
AN ARTIFICIAL SUN STUDY LAB WITH A ROBOT ARM AND ADVANCED MODEL PLATFORM

This research focuses on the design of a Robotic solar analysis platform for critical studies which explore dynamic solar light and heat phenomena within the laboratory. This robotic platform gives designers the opportunity to receive rapid feedback from physical models in real time. The aim of this paper is to propose a solar evaluation platform within the physical domain to engage investigators with tangible experimentation techniques, which may lead to an increased ability to understand the computational process. The aim of this thermal heliodon is to create a method of solar analysis with the aid of the robot and using its inherent capabilities and CNC flexibilities to engage students and researchers with this mixed physical or digital simulation platform. A novel design of a robot-controlled heliodon to simulate the motion of the Sun is described. It is a simple and relatively low cost accessory, fitted to the robot arm and can easily change the construction laboratory into a sun study lab. This platform gives researchers and students who have access to the robot, the ability to integrate the physical nature of light and heat within the early stage of their design process. Classification of Heliodons based on their general functions with sample pictures including – Fig A : Thermoheliodon at Princeton University (Olgyay and Olgyay 1957); Fig B,C and D: “Sun Machine Types” (Olgyay and Olgyay); Fig E: Heliodon of the School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University; Fig F: “Sky dome” at Welsh University (http://www.cardiff. ac.uk/archi/skydome) 1 ROBOTHERMODON AN ARTIFICIAL SUN STUDY LAB WITH A ROBOT ARM AND ADVANCED MODEL PLATFORM
Hybrid certificate closure-chain discovery public key system

We extend PubKey-Wiki, a public key-based group collaboration system, with a hybrid certificate closure-chain discovery public key architecture. PubKey-Wiki introduced a certificate closure algorithm that computes the transitive closure of a set of certificates that contain authorisation information. In this paper, we introduce a hybrid PubKey-Wiki system that combines both the certificate closure algorithm and a certificate chain discovery algorithm in a new architecture that leverages the strengths of both algorithms.
Fully Homomorphic Encryption for Point Numbers Seiko

Based on the FV scheme, we construct at first fully homomorphic encryption scheme FX that can homomorphically compute addition and multiplication of encrypted fixed point numbers without knowing the secret key. Then, we show that in the FX scheme one can efficiently and homomorphically compare magnitude of two encrypted numbers. That is, one can compute an encryption of the greater-than bit that indicates x > x′ or not, given two ciphertexts c and c′ of x and x′, respectively, without knowing the secret key. Finally we show that these properties of the FX scheme enables us to construct a fully homomorphic encryption scheme FL that can homomorphically compute addition and multiplication of encrypted floating point numbers.
A Movement-Efficient Deployment Scheme Based on Information Coverage for Mobile Sensor Networks

Covering the surveillance region is a key task for wireless sensor networks. For mobile sensors, the deployment of sensors at appropriate locations is the key issue for sufficient coverage of surveillance area, and efficient resource management of sensor network. Previous studies most utilize physical coverage model for developing deployment schemes, in that the sensor resources may be wasted during the deployment for coverage. In this paper, a novel movement-efficient deployment scheme for mobile sensor networks is proposed, which adapts the information coverage model and the classical potential field method. The performances of the proposed scheme are evaluated comparing to two other schemes in aspects of coverage rate, coverage hole rate, ideal moving distance, and actual moving distance through extensive simulations. Simulation results show that the proposed scheme performs better than these related schemes in both coverage and movement efficiency.
A Novel Polymorphism in the PTC Gene Allows Easy Identification of Allelic Loss in Basal Cell Nevus Syndrome Lesions

Basal cell nevus syndrome (BCNS; also nevoid basal cell carcinoma syndrome [NBCCS]; Gorlin's syndrome) is an autosomal dominant syndrome characterized by multiple basal cell carcinomas, keratocysts, and developmental skeletal defects. Mutation of the human homologue of Drosophila patched (PTC) gene is considered to be the molecular defect in BCNS. PTC mutations have been observed in sporadic tumors including basal cell and ovarian carcinomas and medulloblastoma. The authors report a novel C/T polymorphism in the PTC gene. Forty-eight normal blood samples were screened for the presence of the polymorphism using direct radioactive and automated sequencing of polymerase chain reaction (PCR) products and restriction enzyme digestion. Results demonstrated 20 homozygous T (43%), 11 homozygous C (23%), and 17 heterozygous C/T (35%). The presence of this polymorphism has permitted us to directly detect allelic loss in BCNS, sporadic keratocysts, and basal cell carcinoma (BCC). Further, four BCNS keratocysts and two BCNS-BCC and three non-BCNS keratocysts showed allelic loss of complementary DNA from lesions when compared with their corresponding blood genomic DNA.
An Approach for Recognizing Turkish Sign Language Characters with Gesture Control Device

There has been several different approaches up to now to recognize sign languages. Usually camera images are used for this purpose. In this study we consider using a device which is developed mainly for virtual reality applications. Leap Motion is used for identifying finger gestures. The features of each sign character must be defined for recognition. In this study we introduced 30 different features based on hand, finger and joint points for identification of Turkish sign characters. K nearest neighbors and Naïve Bayes algorithms are used for classification. Sample signs are selected as “A” and “M” which are static posture symbols. High success rates are achieved in both methods.
Chapter 213 Equivalence Tests for the Difference Between Two Proportions

This module provides power analysis and sample size calculation for equivalence tests of the difference in twosample designs in which the outcome is binary. The equivalence test is usually carried out using the Two OneSided Tests (TOST) method. This procedure computes power and sample size for the TOST equivalence test method. Users may choose from among eight popular test statistics commonly used for running the hypothesis test.