Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Science Collaboration Network of Top Uni- versities in The World

In this paper, the authors try to analysis and visualize the collaboration situation of universities in the world and the influence of distance to collaboration. Firstly the authors select 100 famous research-oriented universities in the world, and search the collaboration of scientific literature from 1975 to 2007 in Web of Science, to get the collaborative matrices of universities. Using methods of social network analysis, the authors study the structure of collaborative network among 100 universities, and a new index is designed to measure and rank the collaboration of universities.
The arithmetic of tax and social security reform

Tax-benefit models are powerful tools for the analysis of the impact of policy reform, in regular use around the world in government and research organisations. This study focuses on one particular model, POLIMOD, and performs three tasks. It provides an illustration of the type of analysis that can be performed, and demonstrates the sensitivity of results to some of the key assumptions that are made. It steps inside POLIMOD and documents some of the inner layers of data manipulation and model construction that drive its output. And it provides a detailed assessment of the reliability of those outputs based on a validation against external sources. The study offers those who use models like POLIMOD, or their outputs, an appreciation of the constraints and assumptions that shape the analysis they provide. And it provides those directly involved in the development of microsimulation models with a guide to methods.
Dietary management to build adaptive immunity against COVID-19

: Today’s technology laced world progression has given a setback to human health. The world has faced the adversity of many new borne deadly pathogens such as Ebola, SARS, MERS and COVID-19. The human body has inherent and adaptive immunity which fights back with pathogens. Mostly the adaptive immunity is built by vaccinations or certain medications. But many research outcomes have shown that a diet filled with nutrients and right choices of food can help to build adaptive immunity. Micronutrients such as vitamins A, C, D, E, B2, B6, and B12, folic acid, iron, selenium, and zinc are important for avoiding pathogens attacks on human body. The deficiencies prevailing in body could be improved by supplementation of nutrients in accordance to recommended dietary allowances will help strengthen the immune system in return. We presently know only diet is not sufficient in fighting against pathogen attacks but the role of diet cannot be ignored in controlling infections. In this scenario, this review aims at summarizing those studies which demonstrated that supplementation of above micronutrients can help fight COVID-19 in specific.
Gantry Crane Structure Seismic Control by the use of Fuzzy PID Controller

This paper represents the design of fuzzy PID type controller (FPIDC) to improve seismic control performance of a gantry crane structure against earthquakes. Vibration control using intelligent controllers, such as fuzzy logic has attracted the attention of structural control engineers during the last few years, because fuzzy logic can handle, uncertainties and heuristic knowledge and even non-linearities effectively and easily. The simulated system has a six degrees-of-freedom and modeled system was simulated against the ground motion of the El Centro earthquake. Finally, the time history of the crane bridge and portal legs displacements, accelerations, control forces and frequency responses of the both uncontrolled and controlled cases are presented. Simulation results exhibit that superior vibration suppression is achieved by the use of designed fuzzy PID type controller. Keywords: Fuzzy PID type controller, Earthquake-induced vibration, Vibration control, Gantry crane structure
A System for Adjusting the Spray Application to the Target Characteristics

In the ambit of the ISAFRUIT European Project, a sprayer prototype able to automatically adapt spray and air distribution according to the characteristics of the target, to the level of crop disease and to the environmental conditions is under development. In order to identify the characteristics of the canopy target, in terms of size and density, a Crop Identification System (CIS), based on ultrasonic sensors, was studied and realised. First tests carried out in the field, aimed at verifying the repeatability of results and the functioning of the system with different forward speeds (2, 4, 6 and 8 km h-1), have confirmed CIS suitability to detect in real time the features of the target to be sprayed and to enable the adequate regulation of spraying parameters. Further tests are in course to optimise its implementation on the finalised ISAFRUIT sprayer prototype.
THE DNA OF DESIGN WORK: PHYSICAL AND DIGITAL MATERIALITY IN PROJECT-BASED DESIGN ORGANIZATIONS *

We review the work on virtuality and virtual organizing to develop a framework describing six modes of virtuality in project-based design organizations. These modes of virtuality involve various combinations of digital and physical materiality in both co-located and remote settings. Then we generate propositions regarding the “intertwining” of different modes of virtuality in settings of varying levels of centralization and turbulence, and we conclude by suggesting a novel application of sequence analysis that would enable us to explore patterns of virtuality in design processes – to gain insight into the “design DNA” of these innovative contexts.
Synthesis of a miniaturised wireless local area network dual-band microstrip Wilkinson power divider through a general three-step optimisation process

Synthesis method for a novel dual-band Wilkinson power divider (DBWPD) is presented in this study. The proposed DBWPD is constructed using a novel dual-band impedance transformer (DBIT). The DBIT is made up of a kernel circuit unit cell with uniform transmission lines attached to its two ends. A non-linear system of equations ruling the DBIT performance is first built up and then successfully solved with numerical method. Design charts are provided for determining the feasible DBIT theoretical parameters. With the DBIT theoretical solutions, a microstrip DBWPD operative at 2.4/5.2 GHz is practically implemented, of which layout parameters are effectively resolved in a sequential three-step optimisation design process, and its compact size as well as good dual-band operation performance has been demonstrated by fabrication and experimental tests, confirming the proposed synthesis method.
Muscular Strain during Floor Mopping with Different Cleaning Methods

Mopping is one of the most used cleaning methods. The aim of this study was to quantify and compare local muscular strain during floor mopping with seven different mopping methods with respect to the amount of water ranging from dry to wet. The results showed that the local strain measured with EMG from the trapezius and forearm muscles was higher with the use of wet and damp mopping methods than with the use of dry methods.
Deep Learning Convolutional Neural Network for Face Recognition: A Review

Face recognition is increasingly being used for solving various social-problems such as personal protection and authentication. As with other widely used biometric applications, facial recognition is a biometric instrument such as iris recognition, vein pattern recognition, and fingerprint recognition. Facial recognition identifies a person based on certain aspects of his physiology. Deep Learning (DL) is a branch of machine learning (ML) that can be used in image processing and pattern recognition to solve multiple problems, one of the applications is face recognition. With the advancement of deep learning, Convolution Neural Network (CNN) based facial recognition technology has been the dominant approach adopted in the field of face recognition. The purpose of this paper is to provide a review of face recognition approaches. Furthermore, the details of each paper, such as used datasets, algorithms, architecture, and achieved results are summarized and analyzed comprehensively.
A 90‐NM CMOS low‐power down‐converter for 3‐ to 5‐GHz ultra‐wideband wireless systems

This article presents the design and the measurement results of a 3‐to 5‐GHz down‐converter fabricated in a 90‐nm CMOS technology. The circuit consists of a single‐ended low‐noise amplifier and two I/Q double‐balanced mixers. A transformer‐based on‐chip single‐ended‐to‐differential conversion allows gain and noise performance to be optimized at a very low power. The down‐converter achieves a 23‐dB conversion gain, a noise figure of 3.4 dB, and an input third‐order intercept point of −8 dBm, while drawing only 9 mA from a 1.2‐V supply voltage. The down‐converter exhibits competitive performance compared to the best state‐of‐the‐art ultra‐wideband circuits in the same frequency range. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 2577–2581, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23744
Motion Planning and Control for Mobile Robot with SOFM

Despite the many significant advances made in robot architecture, the basic approaches are deliberative and reactive methods. They are quite different in recognizing outer environment and inner operating mechanism. For this reason, they have almost opposite characteristics. Later, researchers integrate these two approaches into hybrid architecture. In such architecture, Reactive module also called low-level motion control module have advantage in real-time reacting and sensing outer environment; Deliberative module also called high-level task planning module is good at planning task using world knowledge, reasoning and intelligent computing. This paper presents a framework of the integrated planning and control for mobile robot navigation. Unlike the existing hybrid architecture, it learns topological map from the world map by using MST (Minimum Spanning Tree)-based SOFM (Self-Organizing Feature Map) algorithm. High-level planning module plans simple tasks to low-level control module and low-level control module feedbacks the environment information to high-level planning module. This method allows for a tight integration between high-level and low-level modules, which provide real-time performance and strong adaptability and reactivity to outer environment and its unforeseen changes. This proposed framework is verified by simulation.
Design & Fabrication of a MEMS Piezoresistive Accelerometer with Beam-Film Combined Structure

In this paper, a MEMS (micro-electro-mechanical system) accelerometer has been developed utilizing piezoresistive sensing elements for vibration measurements in large-scale rotating machineries. The accelerometer consists of highly symmetric beam-film combined structure with 4 p-type piezoresistors diffused on beam surface. The beam and two same films, acting as a whole, give the structure a higher mechanical stiffness making the accelerometer’s nature frequency enhanced. During the chip design, classical vibration and elasticity theories are taken advantaged of to determine the dimensions of the sensor chip based on the requirements of industrial practical application. FEM (finite element method) is also used to investigate the performances of the sensor under acceleration load. The device is fabricated by using bulk micromachining technology, and an n-type, (100) oriented silicon wafer is used as the blank of the chip. The packaged sensor is tested and the experimental results show that the sensor has a sufﬁcient linear response (non-linearity≤0.26%FS) up to 50g with a sensitivity of 1.5mV/g/8V. The resonance frequency of the sensor is about2860Hz, and this allows the usage of the sensor in state monitoring with the necessary bandwidth.
Powers in nonsinusoidal networks: their interpretation, analysis, and measurement

A nonlinear or periodically time-variant load sometimes has to be considered not as the receiver, but as the source of energy, at least for some harmonic frequencies. This can be explained in terms of its equivalent circuit, usually composed of passive elements and harmonic sources which make the power phenomena in such a circuit much more complex than in a linear circuit. The necessity of comprehension of these phenomena stems from the fact that they determine the efficiency of the power transmission and the possibility of power factor improvement. They also affect the energy accounts. A method is suggested for the apparent power decomposition into components related to current components of distinctively different physical interpretation. A digital analyzer for measuring these powers is described. >
Hardware Development of a Laboratory-Scale Microgrid Phase 2: Operation and Control of a Two-Inverter Microgrid

This report summarizes the activities of the second year of a three-year project to develop control software for microsource distributed generation systems. In this phase, a laboratory-scale microgrid was expanded to include: (1) Two emulated distributed resources; (2) Static switchgear to allow rapid disconnection and reconnection; (3) Electronic synchronizing circuitry to enable transient-free grid interconnection; (4) Control software for dynamically varying the frequency and voltage controller structures; and (5) Power measurement instrumentation for capturing transient waveforms at the interconnect during switching events.
Banging on the Door of the University: The Complexities of Progression from Apprenticeship and other Vocational Programmes in England

This monograph examines the extent to which vocational qualifications and apprenticeship programmes are accepted by higher education institutions (HEIs) in England when considering candidates for entry to degree courses. It argues that the prospects for progression for those with vocational, as opposed to academic, qualifications need urgent attention. Four illustrative examples drawing on statistical and documentary evidence are presented. The analysis raises serious questions about the currency of Advanced Apprenticeship and Level 3 vocational qualifications for entrance to higher education (HE) and the extent to which participation from this potential pipeline is likely to increase. The paper also argues that the further segmentation of the HE sector in England currently taking place and the challenge to the concept of whole stand-alone qualifications through the introduction of the Qualifications and Credit Framework (QCF) will further undermine access to HE for apprentices. This paper exposes systemic barriers to progression built into the structure of education and training in England and calls for an urgent and independent review of the regulation, role, content and use of vocational qualifications.
The optimum linear modulator for a Gaussian source used with a Gaussian channel

The optimum linear modulator and demodulator which provide transmission of a gaussian vector source through an additive gaussian vector channel are derived in this paper. The measure of performance that is used is the transmission distortion, which is defined here as the mean square error between the source output and the decoder output. It is assumed that the source and channel are mutually independent but that correlations can exist among the components of each. The performance of the best linear system is then compared with the distortion shown by Shannon to be theoretically obtainable when no functional constraint is imposed at the modulator other than an energy constraint. Although the precise form of this optimum modulator is not known for general gaussian vector sources and channels, it is known to be nonlinear and to require arbitrarily long coding block lengths. However, it is a commonly held notion that when the source and channel dimensionalities are equal the optimum modulator is linear and requires a block length of only one. It is shown here that this belief is incorrect except in very particular situations which are described. Some relations between the optimum linear modulator-demodulator pair and Shannon's test channel are discussed, and an example is included which shows that the nonoptimality of linear devices can be quite small.
Dynamic analysis of a laminated composite plate coupled with a piezoelectric energy harvester and traversed by a moving vehicle

Abstract The dynamic analysis is carried out of a laminated composite plate coupled with a piezoelectric energy harvester under the action of a moving vehicle. The finite element method along with Newmark’s method are applied to solve the discretized equations. Results are presented for two main cases: (i) free and forced vibrations of the laminated composite plate with no harvester and (ii) forced vibrations of the plate coupled with the energy harvester. Several parameters – such as the symmetric and anti-symmetric layups, length of the harvester, and piezoelectric material parameters – are considered to study their effects on the electrical output.
EXPERIMENTAL LOAD-DRIFT RELATIONS OF CONCRETE BEAM REINFORCED AND CONFINED WITH HIGH-STRENGTH STEEL BARS UNDER REVERSED CYCLIC LOADING

High-strength steel bars have different characteristics from normal-strength steel bars. Thus, the use of high-strength steel bars still needs to be investigated further before it can be used confidently in concrete structures. In the design, a reinforced concrete beam should also have enough ductility besides its loading capacity. One of the indicators identifies that a structure has sufficient ductility is its ability to maintain the load steadily due to progressive deformation. This paper presents the test results of three reinforced concrete beams designed with concrete strength (fc) of 30 MPa. Two different yield strengths (fy) of longitudinal and transverse reinforcements were used, namely, 420 and 550 MPa. The cross-sectional dimensions of the beams were 200  300 mm with a total span of 2000 mm and a rigid stub at the midspan. The beams were simply supported by double rollers at their tops and bottoms. These special supports were located at both ends of the beams. The load applied at the midspan of the beam through the rigid stub with the displacement control. The loading pattern protocol by the drift was set from 0 to 5.5 percent. Based on the test results, it can be seen that the beams with high-strength steel bars could achieve a higher load capacity than the beams with normal-strength steel bars. On the other hand, the beams with high-strength steel bars produced lower deflection than the beams with normal-strength steel bars. Furthermore, it can be concluded that all the beams could withstand the minimum required of 3.5 percent. None of the beams indicated brittle failures. All of the beams could survived until the end of the cycles at a drift of 5.5 percent. This condition indicates that the reinforced concrete beams with higher-strength reinforcement (fy of 550 MPa) could also maintain their load capacities under large deformation beyond the first yielding of the longitudinal steel bars.
FORMULASI, KARAKTERISASI DAN UJI STABILITAS MIKROEMULSI MINYAK NILAM (Pogostemon cablin Benth.)

Patchouli oil contains patchouli alcohol as the main component which is a tricyclic tertiary alcohol sesquiterpene compound that is insoluble in water. Microemulsion is a droplet dispersion technology that combines an insoluble liquid with another liquid. The role of surfactants in helping the dispersion process of microemulsion formulation is by reducing the interfacial tension. Microemulsion is a supersolvents carrier, so that both hydrophilic and lipophilic can be administered through a microemulsion system. The purpose of this study was to formulate patchouli oil into a stable microemulsion preparation. This research was conducted by making 4 preparations of patchouli oil microemulsion containing 5% (F1), 10% (F2), and 15% (F3) patchouli oil, and microemulsion without patchouli oil (F0). Evaluation of microemulsion preparations includes organoleptic test, pH measurement, density determination, viscosity test, freeze and thaw test, centrifugation test, and particle size analysis. The test results showed that the microemulsion containing 5% patchouli oil had the most stable characteristics compared to other formulas.
A VDD to VDD Bidirectional I/O Buffer With a Dynamic Gate Bias Generator

This paper presents a wide-range I/O buffer able to transmit and receive signals of 0.9/1.2/1.8/3.3/5.0 V by using a typ- ical m CMOS process. The Dynamic gate bias circuit in the proposed I/O buffer is composed of two voltage converters, an EOS (Electrical Overstress) protector, and standard logic cells. A High voltage detector detects voltage level of VDDIO and then generates several bias voltages to the Dynamic gate bias circuit. By using the Dynamic gate bias generator to generate appropriate gate drives for the triple-stacked MOS transistors in the Output stage, the gate-oxide overstress and hot-carrier degradation are avoided. A Floating N-well circuit in the proposed I/O buffer is used to remove undesirable leakage current paths. The proposed I/O buffer can operate at 10/40/50/40/10 MHz when VDDIO are biased at 5.0/3.3/1.8/1.2/0.9 V, respectively. The maximum speed is 50 MHz given a 19 pF load. The maximum static power consump- tion is merely justified by the measurements on silicon. Index Terms—Dynamic gate bias, floating N-well, I/O buffer, mixed-voltage tolerant, wide-range.
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Neural Network Mapping and Clustering of Elastic Behavior from Tactile and Range Imaging for Virtualized Reality Applications

To fully reach its potential, virtualized reality needs to go beyond the modeling of rigid bodies and introduce accurate representations of deformable objects. This paper explores neural networks and vision-based and tactile measurement strategies to investigate the intricate processes of acquisition and mapping of properties characterizing deformable objects. An original com- posite neural network framework is applied to guide the tactile probing by clustering measurements representing uniform elastic- ity regions and, therefore, direct sensors toward areas of elasticity transitions where higher sampling density is required. The net- work characterizes the relationship between surface deformation and forces that are exemplified in nonrigid bodies. Beyond serving as a planner for the acquisition of measurements, the proposed composite neural architecture allows the encoding of the complex force/deformation relationship without the need for sophisticated mathematical modeling tools. Experimental results prove the va- lidity and the feasibility of the proposed approach.