Miracle-dz/UniFAR-FTUs huggingface dataset:
A Close Examination of the 2016 Dallas and Baton Rouge Police Killers: Identifying Potential Risk Factors and Influences for Copycat Violence

Two of the worst targeted attacks on American police officers in recent history occurred within eleven days of each other. Although it seems clear their proximity was not merely attributable to chance, the connection between these incidents, and the implications for understanding copycat violence, have never been fully explored. This study analyzes the perpetrators of these attacks from a “thresholds of violence” perspective, which suggests the first actor in a sequence is more likely to be disturbed and violence prone, while subsequent actors are typically less disturbed but more socially influenced. Results suggest the thresholds model has both merits and limits. The first attacker did have more psychological problems and violence in his past, and the second did seem more influenced by violent role models. However, there were also many similarities between them, and both attacked due to a combination of internal and external factors. If this study's findings are generalizable, higher risks of becoming a copycat offender may exist for individuals who have (1) personal similarities with previous attackers, (2) a history of psychological problems, (3) a history of interest in violent actors, and (4) recent escalation in their online behavior. Recommendations are offered for future research, offender profiling, and violence prevention.
Novel Tunneling Devices with Multi-Functionality

Multi-functionality of a tunneling device was observed for the first time in nanoscale region. 70-nm tunneling devices with novel structure were successfully fabricated and analyzed. They act both as an n-channel surface junction tunneling (SJT) device and an n-channel tunneling field-effect transistor (TFET) depending on the bias conditions. P-channel device operation was not observed in this work since the doping profile of n+ region was not as abrupt as that of p+ region. When the fabricated device was operated as an n-channel SJT device, negative differential conductance (NDC) was clearly observed with a peak-to-valley current ratio (PVCR) of 1.2 at room temperature. On the other hand, in the case of the n-channel TFET operation, output current is saturated with the increase of the drain voltage.
4.4.2 Measurement‐Driven Systems Engineering Using Six Sigma Techniques to Improve Software Defect Detection

System developers and managers continually strive to identify, undertake, and realize improvements in system development methods. Measurement‐driven systems engineering guides the identification of improvement opportunities and enables the quantitative evaluation of progress and benefits. Six Sigma techniques provide a structured approach for using measurement‐driven methods to decrease the variances and shift the means of user‐defined metrics such as defect densities, development cycletimes, and resource expenditures. This research investigates the effectiveness of software defection detection using peer reviews across 12 system development phases on 14 large‐scale systems. This study analyzes 3418 defects from 731 peer reviews and benchmarks the defect injection and detection performance across the 12 system development phases. Six Sigma techniques including the define‐measure‐analyze‐improve‐control (DMAIC) method, root cause analysis, and control charts helped achieve inphase detection of 95 percent of defects and realize over 50 percent improvements in defect densities and closure cycletimes for certain peer review types.
Assessing UAV Landslide Mapping Using Unmanned Aerial Vehicle (UAV) for Landslide Mapping Activity

The purpose of this research is to improve the landslide mapping using unmanned aerial vehicle (UAV) for the area of slope displacement. It further presents the UAV namely multi-motor that being used to capture images at the research area located in Parit, Perak. The objective of this research paper is to develop a three dimensional of landslide area produced from the UAV images. For the whole process of image processing, thirty six control points are established using global positioning system (GPS) staic mehtod using Agisoft Photoscan. The results show that the digital elevation model (DEM), aspect Model, slope model, and digital orthophoto can be obtained using the procedure and method used in the study. The information is obtained through accurate assessment results and used to create a 3D model which is then used to monitor technique applications. The restitution stereo model is also by three dimensional rotations or transformation in 3D surface. From here, the landslide can be detected by calculation of three difference epoch data achieved from Digital Elevation Model (DEM) generation. Prior to that, this paper focuses on the monitoring of that area based on DEM area and volume generated from 3D surface analysis. To conclude this study shows that UAV can be used for producing digital map.
Editorial

Hasta el año 2017 y con el continuismo desde el 2012, el Cuerpo Académico de Historia e Historiografía de la Educación, adscrito a la Facultad de Filosofía y Letras de la Universidad Autónoma de Chihuahua, publicó un libro por año como meta establecida en su programa académico investigativo. Estas publicaciones tuvieron la finalidad de generar, aplicar y difundir el conocimiento, con la mirada en una historia de la educación regional. Ahora con este primer número como revista electrónica, representa la continuidad de lo que sería el sexto libro de Debates por la Historia, pero incursionando en una difusión más amplia. Este nuevo formato de revista permite la visualización desde cualquier parte del mundo, a través de la plataforma Open Journal System (OJS), obligando a la vez a que el equipo editorial tenga mayor rigurosidad y especialidad en este campo tan hermoso de la historia e historiografía de la educación.
Adaptación Argentina de Dos Escalas de Dificultades en la Regulación Emocional en Adultos Emergentes Universitarios

Las dificultades en la regulación de emociones (i.e., desregulación emocional) negativas y positivas subyacen a conductas riesgosas en adultos emergentes universitarios. La Escala de Dificultades en la Regulación Emocional (DERS) y la Escala de Dificultades en la Regulación de Emociones Positivas (DERS-P) son instrumentos ampliamente usados para medir desregulación emocional; sin embargo, no poseen versiones en español con propiedades psicométricas consistentes. El objetivo de este estudio fue evaluar las propiedades psicométricas de la DERS y DERS-P en adultos emergentes universitarios argentinos. Por medio de un muestreo no probabilístico accidental, se evaluó una muestra de 392 participantes (64,54% mujeres) de 18 a 28 años (M = 21,40, DE = 2,24) de 2 universidades públicas de la ciudad de Córdoba, Argentina. Los análisis factoriales confirmatorios que se realizaron a la estructura factorial original de la DERS y DERS-P mostraron ajustes aceptable y excelente, respectivamente. Para ambas escalas, se observaron valores de consistencia interna (alfa de Cronbach y confiabilidad compuesta) satisfactorios. La DERS y la DERS-P presentaron evidencia de validez convergente con estrategias poco adaptativas y divergente con estrategias adaptativas de regulación emocional cognitiva (medidas con el CERQ). Además, presentaron evidencia de validez concurrente con Urgencia Positiva y Urgencia Negativa (medidas con la escala UPPS-P) y con Afecto Positivo y Afecto Negativo (medidos con la PANAS). Extender estos resultados en muestras de estudiantes de distintas carreras universitarias incluyendo la examinación de la confiabilidad test-retest contribuiría a la validación de la DERS y la DERS-P en adultos emergentes universitarios de Argentina.
An Insight to Drug Designing by In Silico approach in Biomedical Research

Drug discovery process basically is a patient oriented science, where researchers strive to improve the existing drugs or invent a totally new chemical entity, which should be ideally more potent than any existing drug of a similar category. The development of new drugs with potential therapeutic applications is one of the most complex and difficult process. Millions of capital and man-hours are devoted to the discovery of new therapeutic agents. Intervention of computers at some plausible steps is imperative to bring down the cost and time required in the drug discovery process. In Silico drug designing is a form of computer-based modeling whose technologies are applied in drug discovery processes. This approach has given tremendous opportunity to identify many new potential drugs than the conventional approaches. This article provides an insight to various steps involved the Drug Designing process.
High level modeling and mitigation of transient errors in nano-scale systems

Soft errors, due to cosmic radiations, are a major reliability barrier for VLSI designs. The vulnerability of such systems to soft errors grows exponentially with technology scaling. To meet reliability constraints in a cost-effective way, it is critical to assess soft error reliability parameters in early design stages in order to optimize reliability in the entire design cycle. Unlike soft error modeling for gate-level netlists, soft error propagation models for highlevel behavioral designs are not straightforward. We divide the work done into three parts. First, the Soft Error Rate (SER) computation problem is modeled as a Boolean Satisfiability (SAT) problem and SAT solvers are used to compute SER for combinational and sequential circuits. SAT is also used to compute a metric called Hardware Vulnerability Factor (HVF). HVF is the probability that an error in any bit of the internal processor structure will result in an error in a program visible state. The HVF computation problem is transformed into an equivalent Boolean satisfiability problem and state-of-the-art SAT solvers are used to obtain HVF for a 5-stage MIPS pipeline. Next, several schemes are proposed for detecting, correcting and recovering from soft errors in processor pipelines. Two types of pipelines are considered. One is a simple 5-stage MIPS pipeline, while the other is a superscalar pipeline similar to the ALPHA processor. Lastly, a case study involving thousands of highavailability systems is presented. The study considers, soft errors occurring in the processors used in these systems.
A More Comprehensive NDE: PCRT for Ceramic Components

Process Compensated Resonant Testing (PCRT) has been demonstrated as an excellent alternative for ceramic parts, going beyond traditional resonance testing by applying pattern recognition algorithms and process control statistics to precise resonant data. PCRT is used for studying structural integrity and functional performance in a variety of ceramic parts. PCRT is a whole body inspection that detects internal defects such as cracks, voids, and inclusions. PCRT can also perform surface inspection of balls, using Surface Acoustical Waves. PCRT can be performed in real manufacturing time, and computer control eliminates operator error and subjectivity.
Comprehensive analysis of InGaP/GaAs heterojunction bipolar transistors (HBTs) with different thickness of setback layers

We specifically studied the influence of a setback-layer thickness on the device performances so as to optimize the required value. Theoretical analysis shows that an optimized setback-layer thickness is available to effectively reduce the barrier height while maintain good device performances. In this work, the effects of a setback-layer thickness on the DC and RF performances of an InGaP/GaAs heterojunction bipolar transistor (HBT) are investigated. Based on the theoretical analysis, the optimized setback-layer thickness WSB is about of 10~30Å for analog amplification. On the other hand, for digital saturated logic application, i.e., a small offset voltage with an acceptable current gain, the optimized WSB could be up to 50 Å. Therefore, this analysis and predication may cause the considerable promise for practical circuit applications.
Predicting Flying Robot Dynamics with Deep Learning

With the rapid increase in the power of computing and technological advances in robotics, research in the field of robotics has rapidly become very expansive. Being able to accurately predict movements of a robot is vital to many applications within this field, allowing for more precise simulation and prototyping as well as more accurate control of robotic systems. In this paper, we present an adaptable neural network that accurately predicts the movement of quadcopter robotic agents which can be expanded to encompass many more robots and applications given the requisite data, producing accurate results within a small margin for error.
Improving performance of multi-user OFDM systems using bit-wise interleaver

A new bit-wise interleaver is introduced for multi-user orthogonal frequency division multiplexing systems using frequency hopping. In addition to placing adjacent bits (belonging to one complex I/Q symbol) onto different subcarriers, they can be placed at different timeslots or different blocks. Furthermore, the interleaver can be adjusted adaptively based on the corresponding hopping pattern. The performance gain is investigated by simulations.
Reduction of finite-gain effect in switched-capacitor filters

A simple technique for significantly reducing the effect of the finite gain of amplifiers on the performance of switched-capacitor filters is presented. The effectiveness of this technique has been established by extensive simulation studies. This technique has the potential for simplifying amplifier design and extending the frequency range of switched-capacitor filters by trading gain for bandwidth.
An analysis of particle swarm optimizers

Many scientific, engineering and economic problems involve the optimisation of a set of parameters. These problems include examples like minimising the losses in a power grid by finding the optimal configuration of the components, or training a neural network to recognise images of people's faces. Numerous optimisation algorithms have been proposed to solve these problems, with varying degrees of success. The Particle Swarm Optimiser (PSO) is a relatively new technique that has been empirically shown to perform well on many of these optimisation problems. This thesis presents a theoretical model that can be used to describe the long-term behaviour of the algorithm. An enhanced version of the Particle Swarm Optimiser is constructed and shown to have guaranteed convergence on local minima. This algorithm is extended further, resulting in an algorithm with guaranteed convergence on global minima. A model for constructing cooperative PSO algorithms is developed, resulting in the introduction of two new PSO-based algorithms. Empirical results are presented to support the theoretical properties predicted by the various models, using synthetic benchmark functions to investigate specific properties. The various PSO-based algorithms are then applied to the task of training neural networks, corroborating the results obtained on the synthetic benchmark functions.
A Signal Processing Approach for Elastic Wave-Based Structural Health Monitoring Using Active Piezoelectrics

A series of digital frequency filters (DFFs) were designed to screen diverse noises and the spectrographic analysis was conducted to isolate complex boundary reflection, which obscures the damage-induced signals. The scale-averaged wavelet power (SAP) technique was applied to enhance the measurement accuracy of Time of Flight (TOF). As an example, the propagation characteristics of elastic wave in a structural beam of square cross-section were analyzed using such an approach and verified experimentally and numerically, with the consideration of the complicated wave scatter caused by the non-ignorable section dimensions.
USING DATABASE MANAGEMENT SYSTEM TODEVELOP AND IMPLEMENT AN AUTOMATED VEHICLE MANAGEMENT SYSTEM

The automated motor vehicle management system is a system developed for managing the movement of vehicles in and out of an organization. Presently, movemnts of vehicles in most organisations are handled manually bythe security officials that are stationed at the gates. This system is associated with mismanaged data, inaccurate data or no data at all in some instances. Consequently, it is imperative to develop a computerized system to manage data taken from the large number of vehicles that move in and out of organisations in order to deal with cases of theft, proper monitoring of people and vehicles and to provide reliable information for decision making. The proposed system is a window based desktop application designed with Microsoft Access as the database management system under a visual studio environment, Microsoft Visual Basic 6.0. It was tested with data collected over a period of two months and it was able to improve the efficiency, security and professional look of the organization.
A new class of dual-mode directional couplers for compact dual-polarization beam-forming networks

A new class of directional couplers for the realization of compact dual-polarization beam-forming networks is presented. This component functions as two independent directional couplers for the TE/sub 01/ mode and the TE/sub 10/ mode of a rectangular waveguide. The two modes are not coupled. Different values of the coupling for the two modes can be obtained. This coupler can be used twice for two orthogonal polarizations. Therefore a considerable reduction of size and complexity of the overall network can be obtained. Experimental data for a 3-dB dual mode coupler are also presented here.
Whole rock and mineral chemistry of hornblenditic xenoliths in volcanic alkaline rocks from the northern part of Uromieh Dokhatar magmatic belt (NW Iran)

An alkaline volcanic activity with a relative Plio-Quaternary age (based on the succession of layers on the field) occurred in the northern part of Uromieh Dokhatar magmatic belt, Iran. Hornblendite xenoliths mostly displaying cumulitic texture occur in the trachyandesites from this magmatic episode. The thermobarometric results indicate that these xenoliths formed within the crust. Based on mineralogical and chemical characteristics, these xenoliths are divided into two groups. In Group 1, plagioclase (andesine) modal content is less than 10% while amphibole (magnesiohastingsite) and biotite are the main minerals. In Group 2, plagioclase (labradorite) modal content is higher than 20% while amphibole (pargasite) and biotite are the main minerals. Positive anomalies of U, Ba, Ti, and K in hornblendite xenoliths are probably related to the accumulation process of amphibole and biotite. The study of the chemical composition of amphiboles indicates crystallization of amphibole from Group 1 and Group 2 hornblendite xenoliths and host volcanic rock under high oxidation conditions. Hornblendite xenoliths display high LREE/HREE and LREE/MREE ratios. The 86Sr/87Sr ratios in xenoliths of Groups 1 and 2 and host volcanic rocks are 0.706291, 0.704685, and 0.709545, respectively, while 143Nd/144Nd ratios are 0.512580, 0.512736, and 0.512561, respectively. Group 1 xenoliths are characterized by a negative Eu anomaly while this anomaly is positive for Group 2. Considering the REE concentrations and distribution patterns, the major element compositions of amphibole, biotite, and plagioclase as well as the Sr and Nd isotopic ratios, it appears that the parental melts of Group 1 and Group 2 xenoliths differ in composition. Those two theoretical parental melts also have different compositions when compared to that of the host volcanic rock. The studied alkaline rocks are commonly located along the main faults. Therefore it seems that the movement of the main faults (especially North Tabriz Fault, North Misho and Tasuj faults) has provided a path for the lavas carrying ∗Corresponding author. ISSN (electronic) : 1778-7025 https://comptes-rendus.academie-sciences.fr/geoscience/ 188 Ali Akbar Khezerlou et al. the investigated xenoliths to penetrate the continental crust. Taken together the geochemical characteristics of the studied rocks indicate a mantle source variably metasomatized by a subduction event prior to the collision between Eurasian and Arabian continents.
Measurement of mechanical and electrical energy flows in the semiactive piezoelectric shunt damping system

The analysis of the mechanical and electric energy flows in the semiactive vibration control system, which is made of a piezoelectric actuator shunted by a negative capacitor, is presented. The vibration control system is designed to suppress the vibration transmission in a narrow frequency range. Using a proper adjustment of the electronic circuit elements, the transmissibility of vibrations has been suppressed by 35 dB at the frequency of 1.5 kHz. The results of our measurements indicate that the average apparent electrical power in the electric part of the vibration control device is about 100 times larger than the mechanical power, which is supplied to the system from the source of vibrations. The rules for designing the highly efficient and low-power electronic parts of semiactive vibration control systems are discussed.
Lake Sediment Microbial Fuel Cell Generate Electricity and Power Wireless Sensor

Sediment microbial fuel cells (SMFCs) can generate electricity without maintenance in the field. SMFC is considered as an alternative renewable and sustainable power source. Though the SMFC is very appealing energy source, it presents certain challenges for real applications. Its output voltage and current are very low and its output voltage cant be increased by stacking several SMFCs in series in an open water body such as the lake. In this research, we construct and simulate a field SMFC with sediment from Xuanwu Lake in Nanjing, China. Open-circuit voltage of the SMFC is 750 mV and the maximal power density is 7.8 mW/m2. A custom-designed power management system (PMS) is developed to harvest energy from SMFC and boost the output power that can drive a wireless sensor. With the PMS, wireless sensor can utilize the harvested energy from SMFC and transmit data to computer without additional power source.
A Flourishing Brain in the 21st Century: A Scoping Review of the Impact of Developing Good Habits for Mind, Brain, Well‐Being, and Learning

— Emerging scientiﬁc knowledge such as the role of epigenetics and neuroplasticity—the brain’s capability to constantly rewire with every action, experience, and thought—is fundamentally changing our understanding of the potential impact we can have on our brain. Our brain is formed by our habits in interaction with our body, the environment, inﬂuenced by our lifestyle, successes, failures, and traumas. Neuroplasticity proves that every student’s brain is a work in progress, and it is never too late to take better care of one’s cognitive ﬁtness. This review presents a repertoire of good habits (GHs). Combined, we suggest that these GHs provide conditions for optimal brain health, by acting as a “Mental Vaccine” which enhances the brain’s resilience to brain health-degrading challenges. We argue