Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Mental Health on Disaster Preparedness: Findings from the Behavioral Risk Factor Surveillance System, 2007–2009

Abstract Preparedness is central to improving health outcomes following disasters. Individuals with poor mental health may be at increased risk of adverse health consequences following disasters due to a lack of preparedness. We examined the relationship between preparedness and mental health. Using Louisiana and New Hampshire (2007) and Mississippi (2009) general preparedness and mental illness modules from the Behavioral Risk Factor Surveillance System (BRFSS) we examine whether having an evacuation plan, a 3-day supply of medication, and supplies including food, water, a radio, and flashlight is influenced by psychological distress, assessed by the Kessler-6, a validated measure of probable serious mental illness. Across respondents, 47% are prepared with supplies, 29% have an evacuation plan, and 91.2% have a 3-day supply of medication. Serious psychological distress increases the odds of a lack of overall preparedness (OR=1.61, 95%CI: 1.41, 1.84), a 3-day supply of medication (OR=1.66, 95%CI: 1.39, 1.99), and an evacuation plan (OR=1.22, 95%CI: 1.05, 1.42). Individuals with poor mental health are not only more at risk for adverse consequences following disasters, they are also starting off less prepared. Mental health practitioners, primary care providers, and emergency managers should craft health promotion and risk communication messages to focus on this vulnerable population.
Hard ticks (Acari: Ixodidae) infected by rickettsias: the first record of Rickettsia aeschlimannii (Rickettsiales: Rickettsiaceae) in Iran

Abstract We aimed to investigate the molecular evidences on the role of ticks as vectors of Anaplasma and spotted fever group (SFG) Rickettsia species in southeastern Iran. A total of 815 tick samples were collected from different geographical regions of southern Kerman province. A 524-bp fragment of 16S rRNA and a 464-bp fragment of major surface protein 4 (msp4) of Anaplasma, a 962-bp fragment of outer membrane protein A (ompA) of rickettsiae, as well as an amplicon (ca. 800-bp) of internal transcribed spacer 2 (ITS2) of ticks were amplified by PCR technique. Ten nucleotide sequences, including three ompA, three ITS2, four Anaplasma (16S rRNA and msp4) were analyzed with BLASTn and phylogenetic software. According to ITS2 nucleotide sequences three tick species Hyalomma asiaticum, H. rufipes and Rhipicephalus sanguineus complex were identified. Rickettsia aeschlimannii was detected from Rh. sanguineus complex and H. rufipes, as well as A. ovis and a SFG Rickettsia was found in Rh. sanguineus and H. asiaticum, respectively. The present study reemphasizes the potential role of Rh. sanguineus complex in the natural cycle of ovine anaplasmosis in southeastern Iran. Our results also confirmed the presence of R. aeschlimannii in Rh. sanguineus complex and H. rufipes ticks for the first time in Iran. These results suggest a possible role of these ticks in the transmission cycle of R. aeschlimannii in southeastern Iran.
State-of-the-Art Violence Detection Techniques: A review

Surveillance systems are playing a significant role in law enforcement and city safety. It is important to detect violent and suspicious behaviors automatically in video surveillance scenarios, for instance, railway stations, schools, hospitals to avoid any casualties which could cause social, economic, and ecological damage. Automatic detection of violence for quick actions is very significant and can efficiently help law enforcement departments. So, researchers are doing a lot of research on different techniques for detecting violence. This research study reviews various techniques and methods for detecting violent or anomalous activities from surveillance video that have been proposed by many researchers in recent years. The method of detection is divided into three categories. These categories are based on the classification techniques used. These categories are: traditional violence detection using machine learning, Support Vector Machine (SVM) & Deep Learning. Feature extraction & Object detection techniques are also described for each category. Moreover, dataset & video features that help in the recognition process are also discussed. The overall research finding has been discussed which will help the researcher in their future work in this field.
Designing EvoRoom: An Immersive Simulation Environment for Collective Inquiry in Secondary Science

This dissertation investigates the design of complex inquiry for co-located students to work as a knowledge community within a mixed-reality learning environment. It presents the design of an immersive simulation called EvoRoom and corresponding collective inquiry activities that allow students to explore concepts around topics of evolution and biodiversity in a Grade 11 Biology course. EvoRoom is a room-sized simulation of a rainforest, modeled after Borneo in Southeast Asia, where several projected displays are stitched together to form a large, animated simulation on each opposing wall of the room. This serves to create an immersive environment in which students work collaboratively as individuals, in small groups and a collective community to investigate science topics using the simulations as an evidentiary base. Researchers and a secondary science teacher co-designed a multi-week curriculum that prepared students with preliminary ideas and expertise, then provided them with guided activities within EvoRoom, supported by tablet-based software as well as larger visualizations of their collective progress. Designs encompassed the broader curriculum, as well as all EvoRoom materials (e.g., projected displays, student tablet interfaces, collective visualizations) and activity sequences. This thesis describes a series of three designs that were developed and enacted iii iteratively over two and a half years, presenting key features that enhanced students’ experiences within the immersive environment, their interactions with peers, and their inquiry outcomes. Primary research questions are concerned with the nature of effective design for such activities and environments, and the kinds of interactions that are seen at the individual, collaborative and whole-class levels. The findings fall under one of three themes: 1) the physicality of the room, 2) the pedagogical script for student observation and reflection and collaboration, and 3) ways of including collective visualizations in the activity. Discrete findings demonstrate how the above variables, through their design as inquiry components (i.e., activity, room, scripts and scaffolds on devices, collective visualizations), can mediate the students’ interactions with one another, with their teacher, and impact the outcomes of their inquiry. A set of design recommendations is drawn from the results of this research to guide future design or research efforts.
Liquid-Phase Exfoliation of Ta2NiS5 and Its Application in Near-Infrared Mode-Locked Fiber Lasers with Evanescent Field Interactions and Passively Q-Switched Bulk Laser

We report on the application of a 1 μm solid-state passively Q-switched (PQS) laser and 1, 1.5 μm mode-locked (ML) fiber lasers based on ternary chalcogenide Ta2NiS5 saturable absorber (SA), which were successfully fabricated by liquid-phase exfoliation method (LPE). The nonlinear absorption of the Ta2NiS5-SA was characterized by 0.32 GW/cm2 and 0.25 GW/cm2 saturation intensities with 7.3% and 5.1% modulations depths at 1 μm and 1.5 μm, respectively. A PQS solid-state laser operating at 1.0 μm has been realized with the Ta2NiS5-SA. The maximum average output power, shortest pulse width, pulse energy, and pulse peak power from the PQS laser are 0.257 W, 180 ns, 1.265 μJ, and 7 W. Moreover, highly stable femtosecond laser centered at 1.5 μm, and picosecond centered at 1 μm, ML fiber lasers were obtained using the Ta2NiS5-SA. A 70 dB signal-to-noise ML laser with a pulse duration of 781 fs was observed in the telecommunication window, which is better than the duration of the previously reported lasers based on Ta2NiS5. The corresponding maximum single pulse energy and peak power are 0.977 nJ and 1251 W, respectively. The Ta2NiS5-SA fabricated by the LPE method was applied in near-infrared (NIR) ML fiber lasers (evanescent field interactions) and PQS bulk lasers. The results indicate that Ta2NiS5-SA prepared by the LPE method can be applied in a 1 μm bulk PQS laser and improved by the new combination mode (evanescent field interactions) for better output performance of the fiber laser.
RAP: RAnsomware Protection Scheme Based on Blockchain

Ransomware attacks have caused serious data loss, and a frequent/good backup is the only solution to deal with such risks. Unfortunately, current research of data backup mainly focuses on improving data recovery efficiency, and rarely takes backups confidentiality and service DDoS attacks resistance into consideration, which greatly limits their usability in practice. In this work, we propose a novel data backup scheme called RAP (RAnsomware Protection scheme based on blockchain) to make up for the above deficiencies. Based on the principle of data isolation, we first formally discuss the role of gateways in data backup systems and deploy mechanism on gateways to resist DDoS attacks. RAP employs an optimized all-or-nothing transform (AONT) and offers the scheme for setup, backups upload and data recovery through secure channel. We define and analyze the security of RAP for data confidentiality and DDoS attacks resistance. We instantiate RAP by a consortium blockchain based on Ethereum and evaluate its performance. The running time of each phase in RAP is less than 1 millisecond excluding the $r$ead/$w$rite delay of typic data size and our scheme would be compatible with most existing blockchains, which further demonstrate its practicality and scalability.
Thermal NDT research at Tomsk Polytechnic University

Abstract This paper presents a brief history and the current status of research at the Thermal Nondestructive Testing Laboratory of Tomsk Polytechnic University (TPU), Russia. The emphasis of the laboratory research is advanced modelling (analytical and numerical) and data processing, including Fourier and wavelet transform, neural networks, correlation analysis, dynamic thermal tomography, and other methods of thermal NDT. This paper describes experimental tests, practical applications in aviation and energy audits, as well as areas of future research.
CAPHE: a circuit-level time-domain and frequency-domain modeling tool for nonlinear optical components

We present CAPHE, an optical circuit modeling tool that can be us d both in frequency and in time domain. The tool is based on the definition of a node , which can have both an instantaneous input-output relation, as well as differen t state variables (such as temperature, carrier density.) and differential equations for these states. Furthermore, each node has access to its input at all previous timesteps, allowi ng to create delay lines or digital filters. A node can contain sub-nodes, allowing to cre ate hierarchical networks. This tool is useful in numerous applications: frequency-do main analysis of optical ring filters, time-domain analysis of optical amplifiers, microd isks, nonlinear resonators.
Influence of Substrate Structure on Reliability of Bare Die Embedding Substrate

Embedding active device technology is a very e ective means of downsizing printed wiring boards, because of its large occupied area. Since a bare die is preferred in order to achieve a thin substrate, the ip chip mounting technique is inevitably used. In this case, resin is used to underll the gap between the bare die and the inner layer of substrate. In our evaluation using TEG chips, delamination at this part was found depending on the substrate structure, conductive pattern, and bare die size. Regarding these phenomena, thermal deformation analyses and actual deformation measurements were performed, and these results suggested the possibility of failure prediction even by elastic analysis. In addition, we found that thermal deformation could be reduced by adjusting the copper conductive pattern.
When Food Can Be Fatal: Recovery from Emaciation

With the approach of winter, we can expect to admit increasing numbers of animals that have not been able to find sufficient food. With starvation comes emaciation—the loss of body fat and, as starvation continues, lean body mass. Progressive emaciation is sometimes categorized by amount of weight loss. However, the degree of emaciation in a given animal cannot be determined on the basis of body weight alone, because what is ‘normal’ for a given species depends on factors such as geographical location, time of year, and the sex of the animal. Gross signs of emaciation include prominent ribs (mammals) or keel (birds), and wasting leg muscles (reptiles).
The Influence of a Pumping Chamber on Hydraulic Losses in a Mixed-Flow Pump

In this study, entropy generation theory based on computational fluid dynamics (CFD) is used to study the influence of a pumping chamber type (guide vane and volute scheme) on the spatial distribution of hydraulic loss in a mixed-flow pump. The CFD data of the mixed-flow pump with a volute is validated by external characteristic test data under Q = 561.4–1598.6 m3/h. The results show that the efficiency and the head of the guide vanes scheme are lower under Q = 800–1200 m3/h, which resulted from a higher total entropy production (TEP) in the pumping chamber and outlet pipe. The high total entropy production rate (TEPR) inside the guide vanes can be found near the leading edge of the hub side and trailing edge of the rim side due to flow separation, which reduces the recovery efficiency of kinetic energy of the guide vanes. The high TEPR inside outlet pipe can be seen near the inlet, caused by back flow. However, the efficiency and head of the volute scheme are lower, under Q = 1200–1600 m3/h, owing to the fact that the volute cannot effectively convert kinetic energy into pressure energy and thus the high TEPR can be found near outlet of volute and inlet of outlet pipe. These results can provide useful suggestions to the matching optimization of the impeller and pumping chamber in a mixed-flow pump.
TEST METHOD OF HIGH-SPEED ON-OFF VALVE DYNAMIC CHARACTERISTICS

According to the valve port features of high speed on-off valve and its actions, the valve port can be simplified into an a-type half bridge construction. A method that tests the dynamic characteristics of the high speed on-off valve by the output pressure signal of the a-type half bridge is proposed. Having analyzed the factors related to the dynamic characteristics of an a-type half bridge, a rule for designing the outlet chamber's volume is worked out. According to the rule, a test stand is built to test the self-developed high-speed on-off valve. From the test results, it can be seen that with the outlet chamber's volume controlled by the rule the rise time of the pressure signals driven by signals with different frequencies changes very little. The test results conform to the simulation results, which proves the correctness of the method.
Applications of Dynamic Program Analysis in a CRM Process: A Futuristic Concept

Being a much talked about topic in today’s business environment, Customer Relationship Management is an area of modern marketing management where there is wide scope for conceptual and empirical research. Recent empirical study has resulted in the development of a CRM process model viz; PREMASA Model, which attempts to integrate the aspects of relationship marketing with consumer behaviour by incorporating the concept of cognitive dissonance. Implementing PREMASA model requires lots of practical considerations including developing an application software program which can measure, track, store and retrieve key parameters related with CRM. In this paper, first a measurement module which will be an important part of future CRM software , has been conceptualized and then applying the concept of software reverse engineering and dynamic program analysis a conceptual process has been developed through which the proposed measurement module can be inserted into an existing CRM software without altering its execution at runtime.
A physics‐guided neural network‐based approach to velocity model calibration for microseismic data

The physics‐guided neural network framework combines the effectiveness of data‐driven and physics‐based models, and it is, therefore, becoming increasingly popular in geophysical applications. We present a physics‐guided neural network–based approach to calibrate velocity models for microseismic data. In our implementation, the physics‐guided neural network comprises of a user‐selected number of fully connected layers, a scaling and shifting layer and a forward modelling operator layer. We input the observed P‐ and S‐wave arrival times to the neural network. In the forward pass, the network's output layer produces normalized P‐ and S‐wave velocities for the subsurface model. The scaling and shifting layer converts the normalized output to realistic velocity values. The forward modelling operator (i.e. a ray‐shooting algorithm) layer computes traveltimes using the velocities from the preceding scaling and shifting layer and the known source–receiver locations. We then evaluate a loss function that compares the predicted traveltimes with the input observed arrival times, and update network's weights and bias parameters. We also use a weight‐based saliency measure to evaluate whether the selected network architecture (i.e. number of hidden layers and neurons) is optimal for the model calibration problem. Finally, using synthetic data examples, we demonstrate that our unsupervised physics‐guided neural network–based approach can provide robust velocity model and uncertainty estimates.
Modulation of Antioxidant Defense in Farmed Rainbow Trout (Oncorhynchus mykiss) Fed with a Diet Supplemented by the Waste Derived from the Supercritical Fluid Extraction of Basil (Ocimum basilicum)

Phytotherapy is based on the use of plants to prevent or treat human and animal diseases. Recently, the use of essential oils and polyphenol-enriched extracts is also rapidly increasing in the aquaculture sector as a means of greater industrial and environmental sustainability. Previous studies assessed the antibacterial and antiparasitic effects of these bioactive compounds on fish. However, studies on the modulation of oxidative stress biomarkers are still scant to date. Thus, in this study, the modulation of antioxidant defense against oxidative stress exerted by fish diets supplemented with a basil supercritical extract (F1-BEO) was assessed in rainbow trout Oncorhynchus mykiss. The F1-BEO extracted with supercritical fluid extraction was added to the commercial feed flour (0.5, 1, 2, 3% w/w) and mixed with fish oil to obtain a suitable compound for pellet preparation. Fish were fed for 30 days. The levels of stress biomarkers such as superoxide dismutase, catalase, glutathione peroxidase, glutathione S-transferase, glutathione reductase, glyoxalase I, glyoxalase II, lactate dehydrogenase, glutathione and malondialdehyde showed a boost in the antioxidant pathway in fish fed with a 0.5% F1-BEO-supplemented diet. Higher F1-BEO supplementation led to a failure of activity of several enzymes and the depletion of glutathione levels. Malondialdehyde concentration suggests a sufficient oxidative stress defense against lipid peroxidation in all experimental groups, except for a 3% F1-BEO-supplemented diet (liver 168.87 ± 38.79 nmol/mg prot; kidney 146.86 ± 23.28 nmol/mg prot), compared to control (liver 127.76 ± 18.15 nmol/mg prot; kidney 98.68 ± 15.65 nmol/mg prot). Our results suggest supplementing F1-BEO in fish diets up to 0.5% to avoid potential oxidative pressure in farmed trout.
Sustainable development of Lithuanian vernacular architecture

Old vernacular architecture naturally embodies principles of sustainable development such as close relation with nature, healthy environment; building materials are mostly local, natural, from renewable sources. However, nowadays, old vernacular buildings do not satisfy some of the norms for a contemporary building. To ensure quality of living environment and satisfying building norms/requirements, the old structures should be renewed. When considering new buildings based on features of vernacular architecture, they also should meet current building norms. Accordingly, in many cases development of vernacular architecture meets with difficulties when trying to find the balance between tradition continuity and contemporary norms, especially when natural development was stopped and refreshed after few decades. The problem under consideration is illustrated by examples of development of vernacular buildings in the territory of Lithuania. Existing situation was analyzed and four possible ways/directions of vernacular architecture development have been recognized. The aim of the research was to reveal these ways/directions through sustainable development and tradition continuity aspect and to find their advantages and disadvantages using SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis. Based on the comprehensive analysis, research conclusions and recommendations as concerns sustainable development of Lithuanian vernacular architecture have been formulated.
Leading Edge Film Cooling Effects on Turbine Blade Heat Transfer

An existing three-dimensional Navier-Stokes code (Arnone et al., 1991), modified to include film cooling considerations (Garg and Gaugler, 1994), has been used to study the effect of spanwise pitch of shower-head holes and coolant to mainstream mass flow ratio on the adiabatic effectiveness and heat transfer coefficient on a film-cooled turbine vane. The mainstream is akin to that under real engine conditions with stagnation temperature = 1900 K and stagnation pressure = 3 MPa. It is found that with the coolant to mainstream mass flow ratio fixed, reducing P, the spanwise pitch for shower-head holes, from 7.5 d to 3.0 d, where d is the hole diameter, increases the average effectiveness considerably over the blade surface. However, when P/d = 7.5, increasing the coolant mass flow increases the effectiveness on the pressure surface but reduces it on the suction surface due to coolant jet lift-off. For P/d = 4.5 or 3.0, such an anomaly does not occur within the range of coolant to mainstream mass flow ratios analyzed. In all cases, adiabatic effectiveness and heat transfer coefficient are highly three-dimensional.Copyright © 1995 by ASME
WIRELESS GESTURE CONTROL ROBOT AN ANALYSIS

Today human-machine interaction is moving away from mouse and pen and is becoming pervasive and much more compatible with the physical world. With each passing day the gap between machines and humans is being reduced with the introduction of new technologies to ease the standard of living. Gestures have played a vital role in diminishing this abyss. In this paper, a rigorous analysis of different techniques of "Human-Machine Interaction" using gestures has been presented. Gestures can be captured with the help of an accelerometer, however, with the evolution of smart phone its independent usage has been rendered useless. This paper analyzes the motion technology to capture gestures through an android smart phone with an inbuilt accelerometer and a Bluetooth module to control the kinetics of a robot.