Miracle-dz/UniFAR-FTUs huggingface dataset:
Spin Gapless Semiconductor–Nonmagnetic Semiconductor Transitions in Fe-Doped Ti2CoSi: First-Principle Calculations

Employing first-principle calculations, we investigated the influence of the impurity, Fe atom, on magnetism and electronic structures of Heusler compound Ti2CoSi, which is a spin gapless semiconductor (SGS). When the impurity, Fe atom, intervened, Ti2CoSi lost its SGS property. As TiA atoms (which locate at (0, 0, 0) site) are completely occupied by Fe, the compound converts to half-metallic ferromagnet (HMF) TiFeCoSi. During this SGS→HMF transition, the total magnetic moment linearly decreases as Fe concentration increases, following the Slate–Pauling rule well. When all Co atoms are substituted by Fe, the compound converts to nonmagnetic semiconductor Fe2TiSi. During this HMF→nonmagnetic semiconductor transition, when Fe concentration y ranges from y = 0.125 to y = 0.625, the magnetic moment of Fe atom is positive and linearly decreases, while those of impurity Fe and TiB (which locate at (0.25, 0.25, 0.25) site) are negative and linearly increase. When the impurity Fe concentration reaches up to y = 1, the magnetic moments of Ti, Fe, and Si return to zero, and the compound is a nonmagnetic semiconductor.
Influence of Crossover Frequency on aHybrid Acoustic Model for Room ImpulseResponse Synthesis

Room impulse responses (RIRs) of arbitrary enclosures may be synthesized using acoustic modelling methods that all offer advantages and limitations in terms of accuracy and efficiency. The use of a hybrid model, which combines a finite difference time domain (FDTD) approach for the low frequency range, and geometric methods for the mid-high frequency range has been shown to provide appropriate results in the past. This thesis is concerned with the optimisation of such a method by reducing the crossover frequency between the two mixed models to improve its efficiency and cost. To that end, hybrid models are implemented to generate synthesized RIRs with various crossover frequencies. These RIRs are compared with real measurements from two different rooms in the time domain, in the frequency domain, and with the use of acoustic parameters.
Student Engagement in a Team-Based Capstone Course: A Comparison of What Students Do and What Instructors Value

Student engagement is an important consideration across all levels of education. The adoption of student-centered teaching methods is an effective way to increase student engagement. Student engagement is at risk when instructor expectations and student participation in purposeful engagement activities are not aligned. Traditionally, student engagement is measured at the institutional level, which proves less than useful to instructors who wish to gauge engagement in specific courses in higher education. In this study, we sought to determine classroom level engagement in a capstone farm management course recently converted to the team-based learning format by comparing student perceptions regarding participation in engagement-specific activities with the instructors’ perceived importance of those same activities. The Classroom-Level Survey of Student Engagement (CLASSE) was utilized to collect student participation and instructor importance data. Data were examined utilizing a 2x2 quadrant analysis. Congruence between student participation frequency and instructor importance was found between 73.7% of the educational activities, while discrepancies were found on 26.3% of educational activities. Overall, students who completed the team-based learning-structured farm management course were physically and psychologically engaged in the learning environment. It is recommended that team-based learning be implemented in other courses within agricultural education to examine its utility in other contexts.
Performance Analysis of Decision/Data Fusion-Aided Cooperative Cognitive Radio Network Over Generalized Fading Channel

In this paper, the analytical performance evaluation of the cooperative cognitive radio network (CCRN) with hard-decision and soft-data fusions is investigated in the presence of noisy and generalized <inline-formula><tex-math notation="LaTeX">$\kappa -\mu$</tex-math></inline-formula> fading channel. The novel expressions to calculate detection probability of CCRN subject to <inline-formula><tex-math notation="LaTeX">$\kappa -\mu$</tex-math></inline-formula> fading and fusion are derived. The analysis of various fusions is evaluated and compared. The performance of CCRN, considering an erroneous sensing and reporting channels, is studied. Also, an optimal threshold subject to fusion scheme is computed. The CCRN performance is evaluated through miss detection probability and total error rate, considering the significant impact of channel and network parameters. Finally, Monte Carlo simulation is performed to validate the derived expressions.
Construction Optimisation of the Lift Carrying Frame Suspension by Using
a Numerical Fatigue Analysis

Numerical analysis of deflection for the existing solution of the friction lift carrying ropes suspension was presented in this article. A similar analysis for the optimized bracket of the carrying ropes suspension was demonstrated from the geometrical point of view. Finite Element Method was used for calculations. It allows mapping the actual operating conditions by using commercial SolidWorks software. Geometrical modifications of the bracket were proposed to save time of manufacturing the detail parts. On that basis, the calculations of percentage indicator of the construction damage and its durability were performed in both cases .
Multi-Functional Balanced-to-Unbalanced Filtering Power Dividers With Extended Upper Stopband

Two new types of multi-functional RF wide-band differential-mode-to-single-ended filtering power dividers are reported in this brief. Their first configurations exploit half-wavelength ring resonators and coupled-line sections to attain common-mode suppression throughout a broad spectral range. Furthermore, asymmetrical coupled-line stages are incorporated in more-advanced schemes to enlarge upper-stopband bandwidth. Two demonstrative microstrip prototypes for the different structures of this RF tri-functional circuit concept that operate at the 1.7–2.7-GHz 4/5-generation long-term-evolution band are built and tested.
59‐3: Distinguished Paper: Wafer Scale Hybrid Monolithic Integration of Si‐based IC and III‐V Epilayers ‐ a Mass Manufacturable Approach for Active Matrix micro‐LED Displays

JBD has developed its unique wafer-level mass manufacturable approach of monolithic hybrid integration of compound semiconductor functional device arrays on Si ICs, which enables the fabrication of hybrid chips with large device array and ultrafine pitch of a few micrometers. Red, green and blue active matrix micro-LED (AMLED) micro displays of VGA format with 1270ppi pixel resolution and 256 grayscales were successfully fabricated using JBD’s monolithic hybrid integration technology. Further integration of a micro-reflector array on the micro-LED array significantly improves the emission directionality of the AMLED micro display, resulting in an ultra-high brightness of 3x106 nits for green AMLED micro displays. The resultant monochromatic micro-LED micro displays exhibit improved device performance compared to other micro display technologies and have great potentials in applications such as portable projectors and near-to-eye projection for augmented reality (AR). More importantly, the wafer-scale monolithic hybrid integration technology offers a clear path for large volume, low cost mass production of hybrid opto-electronic integrated circuit (OEIC) chips. Author
Modelling Vaccination Strategies for the Control of Marburg Virus Disease Outbreaks

Marburg virus disease is an acute haemorrhagic fever caused by Marburg virus. Marburg virus is zoonotic, maintained in nature in Egyptian fruit bats, with occasional spillover infections into humans and nonhuman primates. Although rare, sporadic cases and outbreaks occur in Africa, usually associated with exposure to bats in mines or caves, and sometimes with secondary human-to-human transmission. Outbreaks outside of Africa have also occurred due to importation of infected monkeys. Although all previous Marburg virus disease outbreaks have been brought under control without vaccination, there is nevertheless the potential for large outbreaks when implementation of public health measures is not possible or breaks down. Vaccines could thus be an important additional tool and development of several candidate vaccines is under way. We developed a branching process model of Marburg virus transmission and investigated the potential effects of several prophylactic and reactive vaccination strategies in settings driven primarily by multiple spillover events as well as human-to-human transmission. Our results show a low basic reproduction number of 0.81 (95% CI: 0.08 - 1.83) but a high case fatality ratio of 54% (95% CI: 27 - 80%). Of six vaccination strategies explored, a combination of ring and targeted vaccination of high-risk groups was generally most effective, with a probability of controlling potential outbreaks of 0.87 (95% CI: 0.84 - 0.90) compared with 0.69 (0.65 - 0.73) for no vaccination, especially if the outbreak is driven by zoonotic spillovers and the vaccination campaign initiated as soon as possible after onset of the first case.
IN CYTOFLUOROMETRY

Due to the development of the post-irradiation method and understanding of the basic principles for fluorescence stablization, the most serious problems of primary fluorescence and fluorescence fading in cytofluorometry have been solved. These technical improvements enabled us to develop a multi-fluores-cence method for quantification of different cellular constituents and meta- bolic products in the same cell. Besides the applications of the multi-fluorescence method described in the present paper, many other techniques for multiparameter analysis systems will be developed in the future. Thus fluorescence cytofluorometry becomes a promising technique for quantitative analysis in biology and medicince.
Technological Advances for Ocean Surface Measurements by the Consortium for Advanced Research on Transport of Hydrocarbons in the Environment (CARTHE)

AbstractFormed in the aftermath of the Deepwater Horizon event, the largest accidental marine oil spill, the Consortium for Advanced Research on Transport of Hydrocarbons in the Environment (CARTHE) focused on understanding the physical processes controlling the transport of material from a deep blowout all the way to the coast. Even though CARTHE was initially a modeling-oriented team, it progressively became more focused on observations in order to collect the data needed for model evaluation. A number of new technological advances needed to be made to collect the necessary data. This article reviews most of these, with special focus on surface sampling, where much of the oil is located during oil spills, as well as the measurement of near-field droplet size distribution.
Channel temperature analysis of AlGaN/GaN HEMTs in quasi-static and pulse operation mode

Abstract GaN-based HEMTs’ high potential is deteriorated by self-heating during the operation, this has influence on the electrical properties as well as device reliability. This work is focused on an average channel temperature determination of power AlGaN/GaN HEMT prepared on SiC substrate using quasi-static and pulsed I-V characterization. There was analyzed the drain current change relation to temperature dependent electrical HEMT parameters such as source resistance, threshold voltage, saturation velocity, resp. leakage current which allows to calculate an average channel temperature versus dissipated power for various ambient temperature. Differential temperature of investigated device with and without heatsink was determined. Obtained results were discussed using simulated spatial temperature distribution.
Interference Localization On-Board the Satellite Using Drift Induced Virtual Array

Herein, we investigate the interference received from other wireless networks into a satellite communication (SATCOM) link, and review approaches to identify the interference location using on-board satellite processing. Interference is an increasing problem for satellite communication links, and while receiving signals from gateways or user terminals, the uplink is prone to disturbance by interference due to jammers or unintentional transmissions. In this paper, our aim is to localize unknown interference sources present on the ground by estimating direction of arrival (DOA) information using on-board processing (OBP) in the satellite, and the satellite drift inducing a virtual array. In this work, the signal sampled by the drifting single antenna feed is modeled as using an arbitrary array. Building on this model, we perform the 2-D DOA (azimuth and elevation) estimation. The key challenges in such a design include single snapshot based DOA estimation with low complexity and robustness, arising out of limited on-board computational complexity as well as uncertainty in parameters like the drift speed. Employing realistic satellite drift patterns, the paper illustrates the performance of the proposed technique highlighting the accuracy in localization under adverse environments. We provide numerical simulations to show the effectiveness of our methodology.
Nanopowder Fluidization Using the Combined Assisted Fluidization Techniques of Particle Mixing and Flow Pulsation

In the present study, we report the fluidization behavior of ultrafine nanopowder using the assisted fluidization technique of particle mixing, which was further superimposed with the pulsation of the inlet gas flow to the fluidized bed. The powder selected in the present study was hydrophilic nanosilica, which shows strong agglomeration behavior leading to poor fluidization hydrodynamics. For particle mixing, small proportions of inert particles of Geldart group A classification were used. The inlet gas flow to the fluidized bed was pulsed with a square wave of frequency 0.1 Hz with the help of a solenoid valve controlled using the data acquisition system (DAQ). In addition to the gas flow rate to the fluidized bed, pressure transients were carefully monitored using sensitive pressure transducers connected to the DAQ. Our results indicate a substantial reduction in the effective agglomerate size as a result of the simultaneous implementation of the assisted fluidization techniques of particle mixing and flow pulsation.
Impact of deficient array antenna elements on downlink massive MIMO performance in RIMP and random-lOs channels

The Over-the-Air (OTA) characterization of large antenna systems need to be time- and cost-efficient. Among others, two potential candidates are OTA measurement environments emulating the Rich Isotropic MultiPath (RIMP) and the Random Line-Of-Sight (Random-LOS) channels. In the present paper we study the capacity loss of downlink massive multi-user multiple-input multiple-output (Massive MIMO) narrowband systems in these channels due to deficient antenna elements. We evaluate the downlink ergodic sum rate for the Zero-Forcing (ZF) and the Matched-Filtering (MF) precoders in these channels. We consider a single-cell system comprising a base station with 50 equidistant isotropic source antenna elements placed λ/2 apart and 5 users each equipped with a single isotropic antenna. No coupling effects between the array elements have been assumed. In the present study we show that both the RIMP and the Random-LOS can be used to identify deficient performance of Massive MIMO arrays.
Photonic integrated circuits for Department of Defense-relevant chemical and biological sensing applications: state-of-the-art and future outlooks

Abstract. Photonic integrated circuits (PICs), the optical counterpart of traditional electronic integrated circuits, are paving the way toward truly portable and highly accurate biochemical sensors for Department of Defense (DoD)-relevant applications. We introduce the fundamentals of PIC-based biochemical sensing and describe common PIC sensor architectures developed to-date for single-identification and spectroscopic sensor classes. We discuss DoD investments in PIC research and summarize current challenges. We also provide future research directions likely required to realize widespread application of PIC-based biochemical sensors. These research directions include materials research to optimize sensor components for multiplexed sensing; engineering improvements to enhance the practicality of PIC-based devices for field use; and the use of synthetic biology techniques to design new selective receptors for chemical and biological agents.
Developing Architecture in Volatile Environments - Lessons Learned from a Biobank IT Infrastructure Project

—The architecture specifies how the system should be designed and built. Several architecture frameworks exist for implementing the architectural design process. However, shortcomings are identified in current architectural design processes, especially concerning volatile domains like healthcare. We claim that an iterative architectural design process is required, where the technical concerns are separated from the non-technical ones. Furthermore, a strong guiding vision is required. Based on our experiences from a biobank IT infrastructure process, we present a Continuous Renewability architectural design process that is modular, interoperable, controlled and abstracted, thus being capable of handling complex systems with severe uncertainties.
Design and manufacture of lowpass microstrip filter with high conductivity graphene films

The design and manufacture of lowpass microstrip filter with high conductivity graphene films (HCGF) is reported, which is a proven work of the feasibility of HCGF used in microwave devices for wireless communications. The filter is designed as a fifth order Chebyshev step‐impedance lowpass microstrip filter operating at 2.5 GHz, its conduct strip is the novel HCGF. Based on the parametric study in the design, the optimum structure parameters of the filter are selected to fabricate the filters using HCGF with conductivity up to 1.1 × 106 S/m. It is fabricated with precise and efficient method of laser engraving technique. The test results show that in‐band microwave signals can transmit through the proposed HCGF filter effectively with insertion loss of 0.68 dB. The results in this paper show that HCGF filter has good performance comparable characteristics of the traditional copper filters.
Modelling Fault Detection Using SRGM in Agile Environment and Ranking of Models

Today's software applications deployed in an enterprise to cater to the complex business processes, integrate various business units and address requirements of a global customer base. The traditional methodology of software engineering succumbs to the changing need of customer and technology advancement. On the behest of the customer, a software system should be designed in a way that it goes in concert with the present user needs. Agile methodology targets complex systems with its iterative, incremental, and evolutionary approach. There are numerous factors attributing towards the successful implementation of agile methodology. This led to adopting an approach of agile based on ‘lean' principles over the traditional software development life cycle (SDLC) approach. Collaborative work is done with the project team on a priority list. The implementation is done through “SCRUM” an empirical framework for learning. It has multiple sprints which are deliverable products. This idea has substantially reduced the ‘time to market' as the customer can decide which features of the software they would like to be delivered on a priority basis. To model trends of fault detection in each sprint, a growth model of software reliability is used. This research article presents a framework to analyze and measure the cumulative errors in an Agile Testing Process, the authors have applied modeling on various SRGMs to prove acceptability in an agile development process and finally compares these models using the Mahalanobis Distance Formula for Model ranking. The Mahalanobis distance criteria is easy to compute and that can be utilized to get the ranks and select the best model in view of an arrangement of contributing criteria.
Linked-Increases Congestion Control Algorithm for MPTCP>

This document describes the mechanism of OLIA, the "opportunistic linked increases algorithm". OLIA is a congestion control algorithm for MPTCP. The current congestion control algorithm of MPTCP, LIA, forces a tradeoff between optimal congestion balancing and responsiveness. OLIA’s design departs from this tradeoff and provide these properties simultaneously. Hence, it solves the identified performance problems with LIA while retaining non-flappiness and responsiveness behavior of LIA [5]. Abstract We show, by measurements over a testbed and by mathematical analysis, that the current MPTCP suffers from two problems: (P1) Upgrading some TCP users to MPTCP can reduce the throughput of others without any benefit to the upgraded users; and (P2) MPTCP users can be excessively aggressive towards TCP users. We attribute these problems to the "Linked Increases" Algorithm (LIA) of MPTCP [4], and more specifically, to an excessive amount of traffic transmitted over congested paths. Our results show that these problems are important and can be mitigated. We believe that the design of the congestion control of MPTCP should be improved. Abstract Clock synchronization protocols are very widely used in IP-based networks. The Network Time Protocol (NTP) has been commonly deployed for many years, and the last few years have seen an increasingly rapid deployment of the Precision Time Protocol (PTP). As time-sensitive applications evolve, clock accuracy requirements are becoming increasingly stringent, requiring the time synchronization protocols to provide high accuracy. Slave Diversity is a recently introduced approach, where the master and slave clocks (also known as server and client) are connected through multiple network paths, and the slave combines the information received through all paths to obtain a higher clock accuracy compared to the conventional one-path approach. This document describes a multi-path approach to PTP and NTP over IP networks, allowing the protocols to run concurrently over multiple communication paths between the master and slave clocks. The multi-path approach can significantly contribute to clock accuracy, security and fault protection. The Multi-Path Precision Time Protocol (MPPTP) and Multi-Path Network Time Protocol (MPNTP) define an additional layer that extends the existing PTP and NTP without the need to modify these protocols. MPPTP and MPNTP also allow backward compatibility with nodes that do not support the multi-path extension.