Miracle-dz/UniFAR-FTUs huggingface dataset:
PEMBUATAN APLIKASI ENTERPRISERESOURCEPLANNING PADA MODUL PURCHASING DAN INVENTORY BERBASIS WEB PADA UD PRIMA

Enterprise Resource Planning (ERP) merupakan sebuah sistem yang sudah sangat dikenal di dalam sektor manufaktur pada beberapa tahun ini.ERP merupakan sistem yang sangat luas dalam segi aplikasi yang diberikan.Hal ini karena sistem ERP memfasilitasi komunikasi manajemen dan pemantauan perusahaan. Dalam penelitian ini, implementasi sistem ERP akan diterapkan pada perusahaan retailer yaitu UD Prima. Modul ERP yang akan diterapkan adalah pada modul purchasing dan inventory untuk mengolah data pergudangan dan pembelian perusahaan tersebut.
An ultra low power ADC for wireless micro-sensor applications

The ADC has a sampling rate of 0-100 kS/s and a resolution of either 12 or 8 bits. The design is based on the successive approximation register architecture (SAR), which is shown in Figure 1. Several techniques improve the efficiency of the ADC: analog offset calibration in the latch improves the comparator power-delay product; weak-inversion operation increases preamplifier gm/I; robust self-timing eases settling requirements; sub-DAC gain adjustment compensates nonlinearities from top-plate parasitics; and switched-capacitor auto-zero reference generation maximizes common-mode rejection.
Effect of Drip Marketing on the Advertisement

Drip marketing is also a new phase of e-marketing. Drip Marketing is a communication strategy that sends, or "drips," a pre-written set of messages to customers or prospects over time. These messages often take the form of E-mail marketing, although other media can also be used. The advantages of drip marketing include the automation and efficiency, as well as the continued ability for direct response. Intelligent e-commerce sites, for example Dell, have integrated this form of drip campaign with un-purchased shopping carts. The continued messaging should have relevant data for which consumer is looking for, and continue to include direct response actions such as buy now. Present study evaluates the effect of drip marketing on the advertisement. We chosen the sample size of 100 from north Indian consumers and evaluates there responses by using the testing tools i.e. Mean, Median, Standard deviation, Correlation, Regression and Chi square.
Willingness to Contribute to Bio-Larviciding in the Fight against Malaria: A Contingent Valuation Study among Rice Farmers in Rwanda

There is broad consensus that successful and sustained larval source management (LSM) interventions, including bio-larviciding campaigns, require embeddedness in local community institutions. Ideally, these community structures should also be capable of mobilizing local resources to (co-)finance interventions. To date, farmer cooperatives, especially cooperatives of rice growers whose economic activity facilitates mosquito breeding, have remained under the radar in designing community-based bio-larviciding campaigns. This study explores the potential of rice farmer cooperatives in Bugesera district, Rwanda, to take up the aforementioned roles. To this purpose, we surveyed 320 randomly selected rice farmers who belonged to one of four rice cooperatives in the area and elicited their willingness-to-pay (WTP) for application of Bti, a popular bio-larvicide, in their rice paddies. Results from a (non-incentivized) bidding game procedure, which tested two alternative contribution schemes showed that financial contributions would be significantly different from zero and sufficient to carry a co-financing share of 15–25 per cent. A strong heterogeneity in mean WTP is revealed across cooperatives, in addition to variation among individual farmers, which needs to be anticipated when engaging farmer cooperatives in LSM.
Modelling and Prevention of Acute Kidney Injury through Ischemia and Reperfusion in a Combined Human Renal Proximal Tubule/Blood Vessel-on-a-Chip

Key Points We set up an in vitro proximal tubule model that can capture acute kidney damage after an ischemic event. We showed the renoprotective effect of adenosine in an in vitro AKI/rIRI on-a-chip model. We showed a robust model for AKI/rIRI that can be used for high-throughput testing. Visual Abstract Background Renal ischemia/reperfusion injury (rIRI) is one of the major causes of AKI. Although animal models are suitable for investigating systemic symptoms of AKI, they are limited in translatability. Human in vitro models are crucial in giving mechanistic insights into rIRI; however, they miss out on crucial aspects such as reperfusion injury and the multitissue aspect of AKI. Methods We advanced the current renal proximal tubule-on-a-chip model to a coculture model with a perfused endothelial vessel separated by an extracellular matrix. The coculture was characterized for its three-dimensional structure, protein expression, and response to nephrotoxins. Then, rIRI was captured through control of oxygen levels, nutrient availability, and perfusion flow settings. Injury was quantified through morphologic assessment, caspase-3/7 activation, and cell viability. Results The combination of low oxygen, reduced glucose, and interrupted flow was potent to disturb the proximal tubules. This effect was strongly amplified upon reperfusion. Endothelial vessels were less sensitive to the ischemia–reperfusion parameters. Adenosine treatment showed a protective effect on the disruption of the epithelium and on the caspase-3/7 activation. Conclusions A human in vitro rIRI model was developed using a coculture of a proximal tubule and blood vessel on-a-chip, which was used to characterize the renoprotective effect of adenosine. The robustness of the model and assays in combination with the throughput of the platform make it ideal to advance pathophysiological research and enable the development of novel therapeutic modalities.
Functionality, Emotion, and Acceptance of Artificial Intelligence Virtual Assistants: The Moderating Effect of Social Norms

This paper aims to expand the acceptance of the AI Virtual Assistant model from the perspective of user’s cognition. Based on the 240 samples, we used multi-layer regression analysis to investigate the influencing factors and differential effects of users' acceptance of AI Virtual Assistant. The results show that functional cognition and emotional cognition of users are important influencing factors for an artificial intelligence virtual assistant. This provides a new perspective for user acceptance processes of the AI Virtual Assistant. We also examined the moderating effect of social norms between user cognition and AI Virtual Assistant. At last, a new AI acceptance model of AI Virtual Assistant was established.
Impact of the Parameters of Spraying with a Small Unmanned Aerial Vehicle on the Distribution of Liquid on Young Cherry Trees

Research was carried out concerning spraying young cherry trees with a multirotor drone: a hexacopter. The aim of the study was to evaluate the impact of the following: the nozzle type, the air stream from the drone rotors and the size of spacing between the trees on the distribution of the liquid sprayed in the crown of the trees being sprayed. Experimental trials were conducted on a laboratory test stand. Air-injector spray nozzles: single and a twin flat were used interchangeably to spray the liquid. The travelling speed of the drone was 1.0 m∙s−1. A drone of 106.7 N weight was accepted in the study. The value of the spray liquid deposited and the uniformity of the liquid deposition in the crowns of the trees as well as the transverse distribution of the liquid under the nozzles were evaluated. It was found that the air stream from the drone rotors increased the distribution of the liquid on the trees sprayed, mainly at the middle and lower levels of the crown. A higher deposition value of the liquid was sprayed from the twin flat nozzle than from the single flat nozzle. There was no significant effect of the difference in the distance between the trees, of 0.5 and 1.0 m, on the liquid distribution. Under the influence of the air jet, the uniformity of the liquid distribution in the crowns of the trees also improved.
Video imaging measurement of interfacial wave velocity in air-water flow through a horizontal elbow

Two-phase flow in pipelines containing elbows represents a common situation in the oil and gas industries. This study deals with the stratified flow regime between the gas and liquid phase through an elbow. It is of interest to study the change in wave characteristics by measuring the wave velocity and wavelength at the inlet and outlet of the elbow. The experiments were performed under concurrent air-water stratified flow in a horizontal transparent polycarbonate pipe of 0.05m diameter and superficial air and water velocities up to 8.97 and 0.0778 m/s respectively. A non-intrusive video imaging technique was applied to capture the waves. For image analysis, a frame by frame direct overlapping method was used to detect for pulsating flow and a pixel shifting method based on the detection of minimum values in the overlap function was used to determine wave velocity and wavelength. Under superficial gas velocity of less than 4.44 m/s, the results suggest a regular pulsating outflow produced by the elbow. At higher gas velocities, more random pulsation was found and the emergence of localized interfacial waves was detected. Wave velocities measured by this technique were found to produce satisfactory agreement with direct measurements.
The design and development of a system for controlling automotive functions using speech recognition

As car manufacturer installed more electronic control interfaces like Wifi, Bluetooth or infrared systems, the maneuverability and accessibility of the automobile itself is enhanced. We opted for personal digital assistant (PDA) which has the capabilities of a computer yet compact enough to be mounted on car’s dashboard. The PDA is equipped with automatic speech recognition (ASR) system, thus providing the mean for activating devices via voice. Other benefits gained from using PDA includes easy upgradeability of the ASR engine and resolving the portability issue as consumers may own more than a single car. Apart from the embedded Artificial Neural Network (ANN) based ASR engine, we developed a prototype engine denoted as Support Vector Machine-Dynamic Shifting Window (SVM-DSW) to accommodate speaker independent mode. SVM-DSW is targeted for applications that demand accuracy and reliability. Accuracy gets top priority in high risk tasks such as driving or piloting, surgical procedures, etc. where the slightest error gives disastrous consequences. Consistency is also of paramount prerequisite because the accuracy has to be reproducible time and time again without failure. SVM-DSW has both of these qualities as well as being low in computational cost (using whole word recognition unit and embedded grammar rule) allows it to be ported into Very Large Scale Integration (VLSI) technology. Voice activated household appliances could also benefit from such integration.
Critical Review and Practical Application of Change Management: The Case of International University College, Bulgaria

The chief objective of this study is to critically review the underlying concepts of different change management approaches and provide a framework for understanding their impacts on organizational reformation. The study also incorporates real life case from Bulgaria highlighting important aspects of the change management process, which provide valuable insights to identifying the principal protrusions of change on the operations of Bulgarian higher education. Finally, the paper provides recommendations to practitioners as for how to mitigate failure rates during the process of implementing change.
Analyzing Adaptive Beamformer Performance in a Stable Multipath Environment

Abstract : Fighter aircraft equipped with X-Band radars having an adaptive beamforming capability exhibit degraded performance due to radome multipath reflection (RMR). The reflections from the radome into the antenna array degrade the pattern and cause the formation of large sidelobes. This phenomenon makes detection of LO targets difficult when jamming enters the high RMR sidelobes. Actual radomes are curved and cause reflected wavefronts to be nonplanar. Analyzing beamformer performance under these conditions is difficult, since the beamformer response is defined as the amplitude and phase change experienced by a complex plane wave as a function of frequency and location. To work with planar wavefronts and for the sake of simplicity, we model the radome as two flat plates parallel to array broadside (one at each end of the array). This radome model demonstrates degraded beamformer performance by causing large sidelobes to form. This approximates the characteristics of the multipath environment caused by a real radome. The ability of a linearly constrained, minimum variance beamformer to cancel interference arriving in the sidelobes is evaluated. The cancellation performance depends on how many taps are employed and the source frequency bandwidth. Results are provided for a linear, equally spaced sixteen element array. Adaptive beamforming, Radome internal reflection, Linearly constrained minimum, Variance beamforming, Adaptive cancellation performance.
Introduction to robot-assisted minimally invasive surgery (MIS)

Abstract: It is well recognised that the performance of minimally invasive surgery (MIS) imposes an increasing burden on surgeons’ manual dexterity and visuomotor control. Tissue deformation, restricted workspace, and a limited field-of-view make manual operation of the procedure difficult. With the advent of robot assisted MIS, manual dexterity is enhanced by microprocessor controlled mechanical wrists, allowing motion scaling and tremor removal. Further enhancement of three-dimensional (3D) vision and intra-operative image guidance permits improved clinical uptake of the technology, ensuring better operative safety and consistency. This chapter provides a detailed overview of robotic surgical systems and introduces recent developments in the integration of synergistic controls such as virtual fixtures, dynamic active constraints, and perceptual docking.
Uraemic Pruritus in Dialysis Patient (UP-Dial) questionnaire: creation and validation of the Polish language version

Introduction Uraemic pruritus is a common and burdensome symptom in patients undergoing haemodialysis. Though a significant negative impact of chronic itch on patient’s quality of life is proved, this problem is still often underestimated in clinical practice. Various instruments describing itch are in use, however only recently a specific instrument for uraemic itch – Uraemic Pruritus in Dialysis Patient (UP-Dial) – questionnaire has been created. Aim To translate and to validate the Polish version of the UP-Dial questionnaire. Material and methods Forward and backward translations were conducted according to international standards. The validation was performed on a group of 30 patients undergoing haemodialysis and suffering from uraemic itch. Respondents completed the questionnaire twice with a 3–7 days’ interval. Moreover, for convergent validity, the subjects were asked to assess their itch with the Numerical Rating Scale (NRS), 4-Item Itch Questionnaire (4IIQ) as well as ItchyQoL questionnaire. Results The Polish version of the UP-Dial questionnaire showed very good internal consistency – Cronbach α coefficient was 0.90 for total score. The reproducibility assessed with the intraclass correlation coefficient (ICC) was also very good – 0.9. Furthermore, UP-Dial correlated strongly with NRS (r = 0.74, p < 0.01), 4IIQ (r = 0.82, p < 0.01) and ItchyQoL (r = 0.88, p < 0.01). Conclusions The Polish version of the UP-Dial questionnaire showed high internal reliability, validity and reproducibility and can be widely used both in research and in daily clinical practice.
Development and control of a novel-structure two-wheeled robotic vehicle manoeuvrable in different terrains

This thesis presents the development of a novel two-wheeled robotic vehicle with a movable payload and able to manoeuvre in different environments and terrains. The vehicle structure is based on the double inverted pendulum on cart mechanism. The system has five degrees of freedom that allow the vehicle to serve as a basis for new mobility solution applications. In this study, the vehicle model is derived mathematically using the Euler-Lagrange approach to describe the system dynamics. A hybrid fuzzy logic control approach is designed to stabilise and drive the vehicle on different terrains with different inclination angles. The Matlab Simulink environment is used to simulate the vehicle system. A hybrid spiral dynamic bacteria chemotaxis optimisation algorithm is used to optimise the control parameters to achieve the least mean square error of system response and to reduce the amount of exerted control effort. Various simulation scenarios are considered to demonstrate the vehicle’s ability to work on smooth and frictional surfaces. Disturbances are applied to the vehicle to evaluate the performance of the developed control system in coping with disturbances of variable amplitudes and durations. It is shown that the vehicle exhibits a stable response and a high degree of control robustness. A steering mechanism is implemented to drive the vehicle in different environments and terrains encountered in real life. Environment modelling has been incorporated into the vehicle system to simulate various ground types and levels of frictional forces. It is demonstrated that the vehicle is able to successfully manoeuvre in indoor and outdoor environments and on flat and sloped surfaces fulfilling the aims and objectives of the research.
Integration of Electrografted Layers for the Metallization of Deep Through Silicon Vias

After many years as a hypothetical possibility, 3D integrated circuits (3D IC) stacking has emerged as a potential key enabler for maintaining semiconductor performance trends. Implementing 3D, however, will almost certainly require development of through-silicon vias (TSVs), which in the past few years have been elevated by the semiconductor industry to the status of a crucial mainstream technology.
Fission-based electric propulsion for interstellar precursor missions

This paper reviews the technology options for a fission-based electric propulsion system for interstellar precursor missions. To achieve a total ΔV of more than 100 km/s in less than a decade of thrusting with an electric propulsion system of 10,000 s Isp requires a specific mass for the power system of less than 35 kg/k We. Three possible configurations are described: (1) a UZrH-fueled, NaK-cooled reactor with a steam Rankine conversion system, (2) a UN-fueled gas-cooled reactor with a recuperated Brayton conversion system, and (3) a UN-fueled heatpipe-cooled reactor with a recuperated Brayton conversion system. All three of these systems have the potential to meet the specific mass requirements for interstellar precursor missions in the near term. Advanced versions of a fission-based electric propulsion system might travel as much as several light years in 200 years.
The Measured Rolling Resistance of Vehicles for Accident Reconstruction

In the first part of this study, the rolling resistances of various vehicles with different drive configurations are determined, based on accurate measurements made with a 5th wheel. In the second part, sensitivity analyses are done with PC-Crash, a computer simulation program, to determine what effect the error in assumed rolling resistance has on speed calculations for various types of post-impact trajectories. (A) For the covering abstract of the publication see IRRD E200601.
Evaluation of ductility of structures and structural assemblages from laboratory testing

Definitions for the required and available ductility used in seismic design are discussed. Methods for estimating the yield deformation and the maximum available deformation are described and suggestions are made for appropriate definitions. Examples are given of different imposed histories of inelastic displacement which have been used in the experimental testing of structures and structural assemblages in which cycles of quasi-static loading are applied. A quasi-static procedure for establishing the available ductility factor of a subassemblage by laboratory testing is recommended.
A Comparison of Stability Balls Versus Chairs in the Classroom: Student Preferences and Effects on Classroom Management

The use of stability balls as chairs in classrooms is becoming more common. There has been a decent amount of research done involving students with Attention Deficit Hyperactivity Disorder (ADHD) and how this disorder affects an individual’s attention and behavior in class. This study looks at a fifth grade classroom and asks the following: How does the use of stability balls as chairs affect the classroom management, and how do the students feel about them? The study is inconclusive as far as behavior goes, but seems to show a student preference in support of using stability balls. Running head: A COMPARISON OF STABILITY BALLS 3
Advanced Fingerprint Analysis Project Fingerprint Constituents

The work described in this report was focused on generating fundamental data on fingerprint components which will be used to develop advanced forensic techniques to enhance fluorescent detection, and visualization of latent fingerprints. Chemical components of sweat gland secretions are well documented in the medical literature and many chemical techniques are available to develop latent prints, but there have been no systematic forensic studies of fingerprint sweat components or of the chemical and physical changes these substances undergo over time.
Opportunity cost analysis of android smartphones' permissions

OF THE THESIS Opportunity Cost Analysis of Android Smartphones’ Permissions by Swapnil Sarode Thesis Director: Prof. Janne Lindqvist This thesis provides the opportunity cost for reading androids permission model. We investigate the opportunity cost for users and an example nation (United States), if people would actually read these permission screens during installation time.While the Federal Trade Commission and reserachers try to protect users’ privacy and to improve their comfort level with mobile applications, users still remain unaware of these changes. Users are given a choice to overview the permissions an app would use and have to make an on the spot decision to accept these and move forward with the installation. In this research we project the time required by an average user if they were to read the permissions and compute the monetary value of that time in different situations. An average user may spend half an hour in overviewing permission screens bearing maximum opportunity cost of $23 and a minimum of $3 based on whether it was read at work or leisure. Other than this, if the users decide to read the details of these permissions as well, they will spend more time and hence bear more cost. Reading permissions with details would require users to spend two and half hours annually with a maximum cost of $106 and minimum of $13. An entire nation (United States) would have to invest a minimum of $174 million and a maximum of $6 billion, in reading permissions.