Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of concerted goal commitment mediation in improving lecturer research performance

The purpose of this study was to analyse the mediating role of concerted goal commitment in improving a lecturer’s research performance. In this study, the research sample data used amounted to 365. The research method used simple random sampling. The instruments used were a questionnaire and structural equation modelling with Lisrel 8.80 as statistical analysis. Based on the results of this study, it is proven that leadership, academic culture, and academic policies can improve a lecturer’s research performance mediated by concerted goal commitment. The strength of the lecturer’s intention in commitment to shared goals is characterised by value creation, namely increasing the perception of goals, trust in the institution and the perception of the future so that it can strengthen the organisation or institution. This research can be extended to a state university to strengthen the hypothesis and the structural model that is built. Keywords: academic culture, concerted goal commitment, leadership, lecturers, policy academic, and research performance
Virtual Mission Operations of Remote Sensors With Rapid Access To and From Space

This paper describes network-centric operations, where a virtual mission operations center autonomously receives sensor triggers, and schedules space and ground assets using Internet-based technologies and service-oriented architectures. For proof-of-concept purposes, sensor triggers are received from the United States Geological Survey (USGS) to determine targets for space-based sensors. The Surrey Satellite Technology Limited (SSTL) Disaster Monitoring Constellation satellite, the United Kingdom Disaster Monitoring Constellation (UK-DMC), is used as the space-based sensor. The UK-DMC s availability is determined via machine-to-machine communications using SSTL s mission planning system. Access to/from the UK-DMC for tasking and sensor data is via SSTL s and Universal Space Network s (USN) ground assets. The availability and scheduling of USN s assets can also be performed autonomously via machine-to-machine communications. All communication, both on the ground and between ground and space, uses open Internet standards.
Passive versus Active Transport of Saharan Dust Aerosols by African Easterly Waves

Theory and modeling are combined to reveal the physical and dynamical processes that control Saharan dust transport by amplifying African easterly waves (AEWs). Two cases are examined: active transport, in which the dust is radiatively coupled to the circulation; passive transport, in which the dust is radiatively decoupled from the circulation. The theory is built around a dust conservation equation for dust-coupled AEWs in zonal-mean African easterly jets. The theory predicts that, for both the passive and active cases, the dust transports will be largest where the zonal-mean dust gradients are maximized on an AEW critical surface. Whether the dust transports are largest for the radiatively passive or radiatively active case depends on the growth rate of the AEWs, which is modulated by the dust heating. The theoretical predictions are confirmed via experiments carried out with the Weather Research and Forecasting model, which is coupled to a dust conservation equation. The experiments show that the meridional dust transports dominate in the passive case, while the vertical dust transports dominate in the active case.
Research on Mechanical Manufacturing with Creative Design and Combination of 3D Mechanical Manipulator Based on Fischertechnik

This paper describes the design, composition and application of Fischer creative model. Combined with production practice, the Fischertechnik model is used to establish the structure of the 3D manipulator system. The results of model meet design requirements. Practice shows that the application of Fischer creative combination model is quickly and easily to build medium-sized machinery and equipment. It significantly reduces the build cycle and system debug, which could help designers quickly implement a variety of design intent and improvements. Fischer creative mix model plays an important role in teaching experiment and engineering applications.
The Study on Cross-Industry Standard Process for Data Mining in E-Marketing

According to the standard data mining process, CRISP-DM, one can directly collect data that are essential and useful for the mining results. It also offers practical help to those KD researchers both from industry and academia. In this paper, a KD procedure and method of E-marketing is discussed thoroughly, and a simple operating and easy understanding process model is presented to marketing people with little data mining background. In addition, the traditional market research methods are highly subjective; it is difficult to support the objective marketing decisions. While the KDDM process model can be effective in helping market analyst find the distribution and propensity of customers, thus to predict customer needs, determine the marketing strategy and ultimately to develop effective marketing plans.
Imaginary Control of a Mobile Vehicle Using Deep Learning Algorithm: A Brain Computer Interface Study

Controlling a remote mobile vehicle using electroencephalograph (EEG) signals is still a challenge specially achieving a high degree of accuracy and precision. In the present study, the focus is on implementing an efficient feature space in a deep-based learning (DL) algorithm for a single trial application. More specifically, a boosting feature algorithm by means of long short-term memory (LSTM) networks are implemented in a deep auto-encoder (DAE) algorithm for producing an effective feature space tp identify event related desynchronization/event related synchronization (ERD/ERS) patters in EEG signals. For this purpose, three different DL-based algorithms are implemented that the models are based on a convolutional neural network (CNN), DAE, and LSTM networks to extract and boost the main features. In addition, our previous improved support vector machine (SVM)-based algorithm is employed to consider the potential of SVM and implemented DL-based algorithms for a two classes identification. To consider the efficiency of our implemented methods, algorithms are employed for control of a remote mobile vehicle in an imaginary right-hand opening and making a right-hand fist task. In our experiment, eleven subjects participated in an imaginary movement task. In the experiment, the displayed movement pictures were colored in yellow and red colors for stimulating brain to generate stronger ERD/ERS patterns. Results showed that the proposed algorithm by using the boosting technique significantly increased the accuracy with a higher precision of 73.31% ± 0.03. The proposed method enabled the DL algorithm to be used in single trial experiments.
Objective functions for bayesian control-theoretic sensor management, 1: multitarget first-moment approximation

Multisensor-multitarget sensor management is, ultimately, a problem in optimal nonlinear controitheory for multi-object stochastic systems. This paper is the first of a series concerned with formulating a foundational but computationally viable basis for control-theoretic sensor management based on an intuitively sensible Bayesian paradigm. Single-sensor, single-target control requires a core objective function (typically, a Mahalanobis distance) that determines the degree to which the sensor Field of View (FoV) overlaps the predicted target track. We address the problem of defining Bayesian control-theoretic objective functions for multisensor-multitarget problems. In future papers we will analyze a range of such functions, based on a number of optimization and computational-simplification strategies. In this paper we concentrate on one particular computational approach: multitarget filtering using firstorder multitarget moment approximation ("PHD filter"). We show that the PHD filter can be generalized to include state-dependent probability of detection. The PHD filter is then used as the prediction step of a control process, the objective of which is to maximize the expected RMS number of targets.
Maternal vaginal fluids play a major role in the colonization of the neonatal intestinal microbiota

Background Caesarean section (CS) is associated with newborns’ health risks due to the blocking of microbiome transfer. The gut microbiota of CS-born babies was different from those born vaginally, which may be attributed to reduced exposure to maternal vaginal microbes during labour. To understand the microbial transfer and reduce CS disadvantages, the effect of vaginal microbiota exposure on infant gut microbiota composition was evaluated using 16s rDNA sequencing-based techniques. Results Pregnant women were recruited in the Women and Children’s Hospital, School of Medicine, Xiamen University from June 1st to August 15th, 2017. Maternal faeces (n = 26), maternal vaginal fluids (n = 26), and neonatal transitional stools (n = 26) were collected, while the participants underwent natural delivery (ND) (n = 6), CS (n = 4) and CS with the intervention of vaginal seedings (I) (n = 16). 26 mothers with the median age 26.50 (25.00-27.25) years showed no substantial clinical differences. The newborns’ gut microbiota altered among ND, CS and I, and clustered into two groups (PERMANOVA P = 0.001). Microbial composition of ND babies shared more features with maternal vaginal samples (PERMANOVA P = 0.065), while the microbiota structure of ND babies was obviously different from that of sample of maternal faeces. The genus Bacteroides in CS-born babies with intervention approached to vaginal-born neonates, compared with CS-born neonates without intervention. Conclusions Neonatal gut microbiota was dependent on the delivery mode. And the gut microbiota CS newborns with vaginal seeding shared more features with those of ND babies, which hinted the aberrant gut microbiota composition initiated by CS might be partly mitigated by maternal vaginal microbiota exposure.
A 4.49nW/Pixel Light-to-Stimulus Duration Converter-Based Retinal Prosthesis Chip

This paper presents a 288-pixel retinal prosthesis (RP) chip implemented in a 0.18 μm CMOS process. The proposed light-to-stimulus duration converter (LSDC) and biphasic stimulator generate a wide range of retinal stimuli proportional to the incident light intensity at a low supply voltage of 1V. The implemented chip shows 25.5 dB dynamic stimulation range and the state-of-the art low power consumption of 4.49 nW/pixel. Ex-vivo experiments were performed with a mouse retina and patch-clamp recording. The electrical artifact recorded by the patch electrode demonstrates that the proposed chip can generate electrical stimuli that have different pulse durations depending on the light intensity. Correspondingly, the spike counts in a retinal ganglion cell (RGC) were successfully modulated by the brightness of the light stimuli.
Air detector using the change of dielectric constant for medical applications

Air embolism can be a lethal complication of surgical procedures during which venous pressure at the site of surgery is sub-atmospheric or air is forced under pressure into a body cavity. To solve the problem, we developed the air detector using relative dielectric constant change, which is expected to be used broadly in industrial circles. We designed air detection system with air control equipment, detection circuit and LabVIEW system for air sensing. In experiments with a mock system, the proposed system showed a signal difference depending on the amount of air in the Tygon tube of the mock system.
Hemagglutinin-neuraminidase gene of genotype VII Newcastle disease virus strains isolated in Japan

Recently, genotype VII of Newcastle disease virus (NDV) has become the most prevalent NDV genotype in Asia. Here the hemagglutinin-neuraminidase (HN) gene of genotype VII NDV strains isolated in Japan was analyzed. Notably, point amino acid substitutions in the HN protein at position 347, which is located on the major linear epitope of the HN protein, were found in two strains. However, by a hemagglutination inhibition assay, major antigenic differences did not exist between the studied strains. Additionally, chickens vaccinated with the B1 strain did not exhibit clinical effects after challenge with variants possessing the substitution at position 347 (E to K), whereas all unvaccinated chickens subjected to this challenge died within 5 days.
Dynamics of string-like states of a hole in a quantum antiferromagnet: a diagrammatic Monte Carlo simulation

The dynamics of a hole motion in a quantum antiferromagnet has been studied in the past three decades because of its relationship to models related to superconductivity in cuprates. The same problem has received significant attention because of its connection to very recent experiments of the dynamics of ultra-cold atoms in optical lattices where models of strongly correlated electrons can be simulated. In this paper we apply the diagrammatic Monte Carlo method to calculate the single-hole Green’s function in the t–J model, where the J term is linearized, in a wide range of imaginary-time with the aim to examine the polaron formation and in particular the details of the contribution of the so-called string excitations found in such recent experiments. We calculate the single-hole spectral function by analytic continuation from imaginary to real time and study the various aspects that constitute the string picture, such as, the energy–momentum dependence of the main quasiparticle peak and its residue, the internal excitations of the string which appear as multiple peaks in the spectral function as well as their momentum dependence. We find that the earlier analysis of the spectral function based on a mobile-hole connected with a string of overturn spins and the contribution of the internal string excitations as obtained from the non-crossing approximation is accurate.
Single-stage ZVS PWM full-bridge converter

A new soft-switched ac-dc single-stage pulse width modulation (PWM) full-bridge converter is proposed. The converter operates with zero-voltage switching (ZVS), fixed switching frequency, and with a continuous input current that is sinusoidal and in phase with the input voltage. This is in contrast with other ac-dc single-stage PWM full-bridge converters that are either resonant converters operating with variable switching frequency control and high conduction losses, converters whose switches cannot operate with ZVS, or converters that cannot perform power factor correction (PFC) unless the input current is discontinuous. All converter switches operate with soft-switching due to a simple auxiliary circuit that is used for only a small fraction of the switching cycle. The operation of the converter is explained and analyzed, guidelines for the design of the converter are given, and its feasibility is shown with results obtained from an experimental prototype.
A new quasi-resonant DC-link PWM inverter using single switch for soft switching

This paper presents a new quasi-resonant DC-link (QRDCL) inverter. The circuit needs only one switching device to create zero voltage instants under all loading conditions. It has minimum voltage stress (1.01-1.10) pu on the switching devices and has the flexibility of selecting switching instants of the resonant link in synchronism with any PWM technique. The control technique does not require the help of the inverter switches to create the zero voltage instants in the DC-link and expensive voltage and current sensors are eliminated from the control circuit. In this paper, the principle of operation and detailed analysis of the proposed QRDCL inverter are presented and design considerations for achieving soft switching are obtained. Detailed PSPICE simulation studies are carried out to study the feasibility of the proposed topology and these results are verified experimentally.
Accelerated testing for studying pavement design and performance (FY 2002) : performance of foamed asphalt stabilized base in full depth reclaimed asphalt pavement.

This report covers the Fiscal Year 2002 project conducted at the Accelerated Testing Laboratory at Kansas State University. The project was selected and funded by the Midwest Accelerated Testing Pooled Fund Program, which includes Iowa, Kansas, Missouri and Nebraska. The objective of this research was to determine the effectiveness of the use of foamed asphalt stabilized Recycled Asphalt Pavement from full-depth reclamation (FAS-FDR) as base material for flexible pavements. The experiment consisted of constructing four pavements, one with a 9-in. conventional Kansas AB-3 granular base and three with 6-, 9-, and 12-in. FAS-FDR, and subjecting them to full-scale accelerated pavement test. All four pavement sections were loaded with 500,000 ATL load repetitions, at room temperature and under moderate moisture levels in the subgrade soil. The measured stresses and strains as well as the permanent deformation (rutting) observed on the pavement sections indicated that FAS-FDR can be successfully used as a base material. The measured rut depths and compressive vertical stresses at the top of the subgrade suggest that 1-in. FAS-FDR base shows performance equivalent to that of 1-in. conventional Kansas AB-3 granular base. The effective structural number computed from the FWD deflection tests on the as-constructed pavements showed that average structural layer coefficient for the FAS-FDR base material is 0.18.
SELF ADJUSTING RBNN FOR TWO LINK AND THREE LINK MANIPULATOR

This paper addresses the solution to the robust trajectory tracking problem in presence of uncertainties and disturbances. In this research, area worked upon is the development of an intelligent hybrid controller to ensure the accurate trajectory tracking of a robotic manipulator. The ONCC is a hybrid intelligent controller made with the combination of Radial Bias neural network (RBNN) and particle swarm optimization (PSO). PSO is used to get the optimized value of the spread factor. To check the robustness of the ONCC, firstly is applied to a 2 link and then to a 3 link SCARA manipulator tracking various trajectories and with different disturbances and uncertainties in the system. MATLAB platform has been used for simulation purpose. For validation purpose, results of the ONCC have been compared with the control results of original RBNN and the basic PD controller. Paper has been finished with the appropriate conclusions.
Nonlinear Analysis of Unbalanced Mass of Vertical Conveyer‐Elevator

The Vertical conveyers have a cylindrical casing, a helical open trough or closed pipe is attached at the outside or at the inside of the vertical tubular casing, along which the load can be transported from the bottom upwards. A vibration‐exciting drive is mounted at the top or bottom of the casing to impart to the latter directed vibrations along and around the vertical axis, which cause the load to move upwards along the helix. In this work, nonlinear analysis for the change of the parameters of the motion, stability condition, and the jump phenomena has been shown graphically.
Fabry-Perot approach to the design of double layer FSS

The analysis of the Fabry-Perot interferometer (FPI) is extended to cascaded surfaces with frequency dependent reflectivities, and provides a systematic procedure for the design of multilayer frequency selective structures (FSS). The FPI concept is also useful in diagnosing the origins of features in the transmission/frequency response curves. The approach eliminates much of the uncertainty in the initial design stages, where placing transmission and reflection bands at required frequency locations demands time and computing resources. The paper concentrates on double layer FSS and the application of the technique for design and diagnosis is illustrated by reference to the design of dichroic structures for microwave and submillimetre wavebands.
Multipurpose water storage tank based DC microgrid system for isolated communities

Renewable energy sources can contribute a lot to deliver reliable/resilient power to isolated communities and the world's sustainable energy future. In this paper, a novel DC microgrid system has been proposed for multipurpose use for isolated communities. The system taps the unused potential of the storage water to generate electricity. The system is configured to reduce complexity and cost by reducing the sensors in the solar pumping unit. Source, storage, and loads are the parts of an isolated system. The DC microgrid includes solar PV, battery, and domestic loads (All types' loads, that is, DC, AC, and dynamic loads). Incremental conductance algorithm has been chosen for the MPPT control, and sliding mode controls have been implemented to supply the sinusoidal supply for the AC loads. The system has included a battery unit to support the DC bus voltage and stable DC microgrid operation. The centrifugal pump has been taken to operate the pump as a turbine to extract the partial power potential from the water. The proposed system's MATLAB/Simulink model was designed for a village and presented as a case study.
Anharmonic, Thickness-Twist Overtones of Thickness-Shear and Flexural Vibrations of Rectangular, AT-cut, Quartz Plates

Abstract : Equations of motion accommodating thickness-twist overtones of thickness-shear and flexural vibrations of rectangular, AT-cut, quartz plates are obtained. The equations are solved for plates with all four edges free. The predicted frequencies are compared with measured resonances. X-ray topographs of typical thickness-twist overtone modes are exhibited which verify that the mode shapes correspond to those predicted. (Author)
Physicochemical Evaluation of Diploknema butyracea Seed Extract and Formulation of Ketoconazole Ointment by Using the Fat as a Base

The fat obtained from the ripened seeds of Diploknema butyracea is widely used as a vegetable oil in rural areas of Nepal. This study was aimed for the physicochemical evaluation (acid value, iodine value, saponification value, peroxide value, ester value, pH, and liquefaction point) of the Diploknema butyracea seed extract (chyuri fat) and the formulation of 2% w/w ketoconazole ointment by using it as a base. All the physicochemical parameters were determined quantitatively by using the method of Indian Pharmacopoeia (IP), volume-I. By fusion method, 3 different formulations F-A, F-B, and F-C were prepared, in which different proportions of chyuri fat, polyethylene glycol 6000 (PEG 600), Tween 80, and propylene glycol were used as an ointment base. Various quality parameters such as spreadability, extrudability, viscosity, smoothness, pH, average fill weight, assay, content uniformity, accelerated stability, and drug release profiles were determined. HPLC was used for the determination of ketoconazole content in the ointment formulations. Physicochemical evaluation of the chyuri fat ensured its suitability for industrial purpose. The active ingredient release profile of formulations F-A (87.71%), F-B (88.89%), and F-C (91.09%) after 5 hours were within acceptable range along with other parameters. Assay of the formulations F-A, F-B, and F-C were reported to be 103.01, 107.9, and 102.45%, respectively. Overall, evaluation of the formulation F-A, prepared by using chyrui fat only, gave satisfactory results and most of the parameters were statistically similar ( p > 0.05 ) to the F-B and F-C formulated by incorporating a certain proportion of synthetic base. Thus it can be concluded that chyuri fat can be the best alternative to replace the expensive synthetic base.