Miracle-dz/UniFAR-FTUs huggingface dataset:
PENERAPAN ALGORITMA K-NEAREST NEIGHBORS PADA KLASIFIKASI PENENTUAN GIZI BALITA (STUDI KASUS DI POSYANDU DESA BLUTO)

Di Indonesia kekurangan gizi balita masih banyak di jumpai di berbagai daerah di Indonesia. Gizi merupakan faktor utama dari kualitas sumber daya manusia. Sangat diperlukan setiap orang tua jika ingin balita tumbuh kembang anak maksimal. Pada posyandu Di Desa Bluto proses pendataan dan penentuan status gizi balita di lakukan secara manual dengan mencatat pada buku. Maka perlu adanya sistem yang memadai untuk memproses penentuan gizi tersebut sehingga proses dapat berjalan dengan baik dan tepat. Sistem yang dibuat menerapkan metode algoritma K-Nearest Neighbor untuk proses klasifikasi penentuan gizi balita dengan adanya sistem ini dapat membantu para petugas posyandu untuk mengolah data dan menentukan gizi balita apakah termasuk gizi baik, kurang gizi, gizi buruk, dan obesitas. Sistem ini dirancang dengan menggunakan bahasa pemrograman php dan phpMyadmin sebagai database sistem ini berbasi website. Berdasarkan hasil pengujian semua fitur yang ada pada website berjalan dengan baik. Sistem dapat menentukan klasifikasi penentuan status gizi. Pada perhitungan yang telah dilakukan secara manual dengan Microsoft Excel hasil sesuai dengan hasil perhitungan yang ada pada Sistem website Klasifikasi status gizi. Bahwa metode K-Nearest Neighbor pada klasifikasi penentuan gizi balita dengan uji akurasi confusion matrix nilai klasifikasi Berdasarkan dari hasil pengujian akurasi terhadap nilai K = 3 dan K = 5 dapat di lihat nilai akurasi yang di peroleh terdapat perbedaan nilai akurasi. Berdasarkan uji coba yang dilakukan terhadap 25 data uji nilai akurasi K = 3 mempunyai akurasi 88% dan nilai K = 5 mempunyai nilai akurasi 84%. Nilai akurasi akan berkurang dengan bertambahnya nilai K. Di harapkan sistem ini dapat membantu para petugas posyandu dalam mengolah data dan menentukan status gizi.
Recording duration of ambient vibration monitoring for system identification of tall telecommunication towers

It is necessary to have reliable field measurement records for estimation of dynamic characteristics. Increasing duration of the record is one of the common methods for reduction of such errors in the results. Dynamic characteristics of telecommunication towers in higher modes are important for designers, but these parameters could be obtained from ambient vibration monitoring during typhoons in which duration of vibration is not long enough for reducing measurement errors.
Towards Sustainable Development

The increased externalisation of labour in Uganda has come along with increased incidents of human trafficking. Indeed, transnational trafficking—a silent and often invisible activity—is by far the most frequent offence committed; primarily involving female adults trafficked for labour and sexual exploitation. Evidence from the Uganda Police Force shows that notwithstanding the rising incidents of human trafficking, prosecution of this criminal offence remains low. More so, conviction rates are also extremely low mainly due to limited capacity (human and financial resources) to collect sufficient evidence and trace the perpetrators and the unavailability of victims to serve as witnesses. To address the challenge, the brief recommends measures such as scaling-up public sensitisation on and enforcement of the 2009 law on Prevention of Trafficking in Persons Act, and labour migration guidelines. Also, we advocate for enhancing the capacity of security agencies to handle human trafficking cases better and strengthening service provision to victim and survivors of trafficking
Modeling of Wet Clutch Engagement Including a Thorough Experimental Validation

A detailed experimental validation has been carried out to point to limitations of static wet-clutch friction model for typical clutch engagement transients. The model accuracy can be increased by incorporating the fluid film dynamics, as done in the lumped-parameter dynamic clutch model developed at the University of Purdue. That model is extended herein in order to increase its accuracy especially in the case of grooved clutches. The extensions include a description of clutch actuator dynamics and introduction of an empirical scaling factor for the fluid film thickness state equation. More rigorous treatment of fluid dynamics for the grooved clutch is also presented.
Intelligent Switching Control of Pneumatic Artificial Muscle Manipulator

Problems with the control, oscillatory motion and compliance of pneumatic systems have prevented their widespread use in advanced robotics. However, their compactness, power/weight ratio, ease of maintenance and inherent safety are the factors that could potentially be exploited in sophisticated dexterous manipulator designs. These advantages have led to the development of novel actuators such as the McKibben Muscle, Rubber Actuator and Pneumatic Artificial Muscle Manipulators. However, some limitations still exist, such as deterioration of the performance of transient response due to the change of the external inertia load in the pneumatic artificial muscle manipulator. To overcome this problem, switching algorithm of control parameter using learning vector quantization neural network (LVQNN) is newly proposed, which estimates the external inertia load of the pneumatic artificial muscle manipulator. The effectiveness of the proposed control algorithm is demonstrated through experiments with different external inertia loads.
Reverse‐Offset Printing Optimized for Scalable Organic Thin‐Film Transistors with Submicrometer Channel Lengths

Dr. K. Fukuda, Y. Yoshimura, Y. Takeda, Prof. D. Kumaki, Prof. S. Tokito Graduate School of Science and Engineering Yamagata University 4-3-16 Jonan , Yonezawa , Yamagata 992-8510 , Japan E-mail: fukuda@yz.yamagata-u.ac. jp; tokito@yz.yamagata-u.ac. jp Dr. K. Fukuda Japan Science and Technology Agency PRESTO, 4-1-8, Honcho Kawaguchi , Saitama 332-0012 , Japan T. Okamoto, Y. Katayama DIC Corporation 631 Sakado , Sakura , Chiba 285-8668 , Japan
Shear Properties as Viable Measures for Characterization of Permanent Deformation of Asphalt Concrete Mixtures

Released in 1994, the Superpave® asphalt mix design system represented the culmination of a $50 million investment by the Strategic Highway Research Program to reduce the overall life-cycle costs of asphalt pavements. At this time, an extensive investigation to recommend a laboratorybased simple performance test for evaluating the resistance of Superpave mixes to permanent deformation is under way through the NCHRP. As a complementary effort, researchers at Carleton University are developing a field simple performance test for asphalt mixes known as the in situ shear stiffness test (InSiSST). InSiSST is unique to the asphalt industry; it measures the shear properties of compacted asphalt layers in the field without the need for coring or specimen preparation. Initial test results at the Superpave specific pavement studies test site (SPS-9) in Petawawa, Ontario, have shown excellent correlation between the in situ shear stiffness and observed permanent deformation. With additional testing and correlation, it is hoped that the InSiSST facility will complement the laboratory Superpave simple performance test to provide the asphalt industry with improved tools for mitigating permanent deformation. Information about the development effort is presented for context purposes, but the main objective is to further establish the benefit of fundamental asphalt shear properties for characterizing resistance to permanent deformation by presenting new and powerful performance models relating asphalt mix properties and shear properties to permanent deformation.
Modeling simulation and performance analysis of switched reluctance motor operating with optimum value of fixed turn-on and turn-off switching angles

The value of turn-on and turn off angles are important factors in developing positive or negative, high or low electromagnetic torque in switched reluctance motor (SRM) and lead to stable or unstable operation of the drive. This paper presents the performance of a 4 kW 8/6-pole configuration SRM drive through modeling and simulation for optimum and fixed value of switching-on and -off angles. Normally, these switching angles depend upon the motor speed and are varied with acceleration. In this paper, the analysis is conducted to arrive at an optimum pair of switching angle for full-load starting and stable operation of the drive. The simulated performance of SRM drive system is presented to analyze the effect of switching angles on transient and steady state performance of the drive in terms of speed, current and torque response. The merit of fixed switching angle control schemes is highlighted.
Co-Design and Evaluation of the Feasibility and the Efficacy of a Multiple-Targeted Adapted Physical Activity Intervention to Promote Quality of Life, Well-Being and Physical Activity Levels in Pregnant Women: The “WELL-DONE!” Study Protocol

Background: Regular physical activity (PA) practice during pregnancy offers health and fitness benefits for both mother and baby. Therefore, healthy pregnant women with no contraindications to exercise should be encouraged to perform PA. Nevertheless, their levels of PA are generally low. The aim of the WELL-DONE! Study is to co-design an adapted physical activity intervention (APAI) for pregnant women to include in childbirth preparation classes (CPCs) evaluating its feasibility and efficacy on quality of life (QoL), PA levels and other outcomes. Methods: A quasi-experimental study was divided in two progressive stages. First, APAI was developed in collaboration with pregnant women and midwives using focus groups; second, APAI’s efficacy was evaluated comparing two groups: the experimental group engaged in the CPCs integrated with 1 h/week of the APAI administered by midwives and the control group participating in the standard CPCs. Pre-post evaluation was carried out in three stages through questionnaires and tests. Data analysis involved the combination of qualitative and quantitative methodologies. Discussion: Findings from the WELL-DONE! Study will help to assess the feasibility, sustainability, and efficacy of incorporating APAI inside CPCs as a new public health strategy oriented to QoL, well-being, and PA level improvements.
Hyperspectral Target Detection with an Auxiliary Generative Adversarial Network

In recent years, the deep neural network has shown a strong presence in classification tasks and its effectiveness has been well proved. However, the framework of DNN usually requires a large number of samples. Compared to the training sets in classification tasks, the training sets for the target detection of hyperspectral images may only include a few target spectra which are quite limited and precious. The insufficient labeled samples make the DNN-based hyperspectral target detection task a challenging problem. To address this problem, we propose a hyperspectral target detection approach with an auxiliary generative adversarial network. Specifically, the training set is first expanded by generating simulated target spectra and background spectra using the generative adversarial network. Then, a classifier which is highly associated with the discriminator of the generative adversarial network is trained based on the real and the generated spectra. Finally, in order to further suppress the background, guided filters are utilized to improve the smoothness and robustness of the detection results. Experiments conducted on real hyperspectral images show the proposed approach is able to perform more efficiently and accurately compared to other target detection approaches.
Exploring regression testing and software product line testing - research and state of practice

In large software organizations with a product line development approach a selective testing of product variants is necessary in order to keep pace with the decreased development time for new products, enabled by the systematic reuse. The close relationship between products in product line indicates an option to reduce the testing effort due to redundancy. In many cases test selection is performed manually, based on test leaders’ expertise. This makes the cost and quality of the testing highly dependent on the skills and experience of the test leaders. There is a need in industry for systematic approaches to test selection. The goal of our research is to improve the control of the testing and reduce the amount of redundant testing in the product line context by applying regression test selection strategies. In this thesis, the state of art of regression testing and software product line testing are explored. Two extensive systematic reviews are conducted as well as an industrial survey of regression testing state of practice and an industrial evaluation of a pragmatic regression test selection strategy. Regression testing is not an isolated one-off activity, but rather an activity of varying scope and preconditions, strongly dependent on the context in which it is applied. Several techniques for regression test selection are proposed and evaluated empirically but in many cases the context is too specific for a technique to be easily applied directly by software developers. In order to improve the possibility for generalizing empirical results on regression test selection, guidelines for reporting the testing context are discussed in this thesis. Software product line testing is a relatively new research area. The understanding about challenges is well established but when looking for solutions to these challenges, we mostly find proposals, and empirical evaluations are sparse. Regression test selection strategies proposed in literature are not easily applicable in the product line context. Instead, control may be increased by increased visibility of the effects of testing and proper measurements of software quality. Focus of our future work will be on how to guide the planning and assessment of regression testing activities in large, complex reuse based systems, by visualizing the quality achieved in different parts of the system and evaluating the effects of different selection strategies when applied in various regression testing situations. (Less)
Photocatalytic application of graphene oxide–ZnO nanocomposite for the reduction of methylene blue dye

The graphene oxide (GO) and GO–zinc oxide (GO–ZnO) nanocomposite were prepared using simplified techniques with modified Hummer’s and solvothermal methods for photocatalytic application. In a comparative study, the optimized geometries, binding energies, electronic properties, non-linear optical properties and density of states (DOS) of GO–ZnO were calculated using density functional theory calculations with the B3LYP method and 6-31G (d,p) and LanL2DZ basis sets to examine the binding site of a methylene blue (MB) dye systematically. The result of natural bond orbital analysis revealed the effective charge transfer and also explained the mechanism and efficiency of the photocatalytic activity of GO–ZnO. DOS supported the strong interaction of MB with GO–ZnO leading to the degradation of the MB dye. The theoretical results obtained depict the existence of n → σ*, n→ n* and σ → σ* interactions, improved charge transfer, and reduced band gap which establish the use of GO–ZnO in visible light photocatalysis. Characterization methods such as x-ray diffraction (XRD), Fourier transform infrared (FTIR) and ultraviolet (UV) analysis were carried out to support our theoretical results. The XRD results confirmed the particle size of 21 nm with inter-layer spacing of 0.87 nm. FTIR spectroscopy indicated the characteristic bands related to the elements in GO–ZnO. The higher electrical conductivity was studied using UV–Vis spectral analysis. The calculated results show good agreement with experimental observations which reveal that the GO–ZnO nanocomposite has good photocatalytic behavior.
WWVB Baseline Measurements: Summary, Findings, and Recommendations.

Abstract : The National Institute of Standards and Technology (NIST) operates a 60-kHz timing signal transmitter, known as WWVB, at a site near Fort Collins. Colorado. This system has redundant transmitters and antenna systems and was thought to radiate about 13 kW. NIST commissioned the Naval Command, Control and Ocean Surveillance Center. Research, Development, Test and Evaluation Division (NRaD) to make baseline performance measurements that could support the design of a 6-dB upgrade. The measurements are reported in NRaD TR 1693. This document (TR 1692) provides a summary of the measurement results, a recommended upgrade configuration, and recommendations.
Assessing Enzyme Immobilization on Reverse Asymmetric Membranes and Biocatalytic Reactor Performance

Integration of membrane filtration and biocatalysis has appealing benefits in terms of simultaneous substrate conversion and product separation in one reactor. Nevertheless, the interaction between enzymes and membrane is complex and the mechanism of enzyme docking on membrane is similar to membrane fouling. In this study, focus is given on the assessment of enzyme immobilization mechanism on reverse asymmetric polymer membrane based on the permeate flux data during the procedure. Evaluation of membrane performance in terms of its permeability, fouling mechanisms, enzyme loading, enzyme reusability and biocatalytic productivity were also conducted. Alcohol Dehydrogenase (EC 1.1.1.1), able to catalyze formaldehyde to methanol with subsequent oxidation of NADH to NAD was selected as the model enzyme. Two commercial, asymmetric, flat sheet polymer membranes (PES and PVDF) were immobilized with the enzyme in the reverse mode. Combination of concentration polarization phenomenon and pressure driven filtration successfully immobilized almost 100% of the enzymes in the feed solutions. The biocatalytic membrane reactor recorded more than 90% conversion, stable permeate flux with no enzyme leaching even after 5 cycles. The technique showing promising results to be expanded to continuous membrane separation setup for repeated use of enzymes.
Practical Calculation of Cable-Stayed Arch Bridge Lateral Stability

A long-span cable-stayed arch bridge is a new form of bridge structure that combines features of cable-stayed bridges with characteristics of arch bridges. In the present study, we derived a practical calculation method for the lateral destabilization critical loading of cable-stayed arch bridges during the construction process based the energy principle. The validity of the method was verified with an example. The calculation method provides a quick and efficient way to evaluate the lateral stability of a cable-stayed arch bridge and a concrete filled steel tubular arch bridge during the construction process.
Design of digital differentiators satisfying prescribed specifications using optimization techniques

Two methods for the design of nonrecursive digital differentiators based on standard optimization methods are described. The methods are used in conjunction with the prediction technique for the differentiator order described by A. Antoniou and C. Charalambous (Proc. IEE, vol.128, pt.E, no.5, p.190-6, Sept. 1981) to design several differentiators, assuming first a prescribed bandwidth and various prescribed maximum in-band errors and then a prescribed maximum in-band error and various prescribed bandwidths. The methods are also used to design a wideband differentiator. The designs obtained satisfy the prescribed specifications in all cases. The results show that the even-order digital differentiators require lower order for the same prescribed specifications and that the error function with weighting yields better results in terms of relative error, as expected. <<ETX>>
Effectiveness of Near-field Communication Integrated with Mobile Electronic Medical Record System in Terms of Physician Turn-around Time in an Emergency Department: Simulation Study (Preprint)

BACKGROUND Mobile electronic medical record (EMR) systems are widely used based on the wide availability of smartphones; their ability to improve efficiency in medical practice has been demonstrated. However, the quantitative effectiveness of mobile EMR systems has rarely been measured. OBJECTIVE The aim of this study is to determine the effectiveness of near-field communication (NFC) integrated with a mobile EMR system in terms of physician turn-around time in an emergency department (ED). METHODS A simulation study was performed in an ED. 25 participants working in the ED participated in two scenarios, using mobile or a PC: one is locating randomly designated patients in the ED from the ED entrance, and the other is looking up the laboratory results of an ED patient at the bedside. Upon accomplishing the scenarios, participants responded to a 10 question questionnaire using a system usability scale (SUS). The main metric was turn-around time for each scenario. The secondary metric was the usability of the system, graded by the study subjects. RESULTS Locating patients from the ED entrance took 93.0 s (mean) using the mobile scenario, whereas it took 57.3 s (mean) using the PC scenario, which is significantly faster (P < .001). Searching for laboratory results of the patients at the bedside took 25.2 s (mean) using the mobile scenario, and 61.5 s (mean) using the PC scenario, which is significant (P < .001). Sensitivity analysis comparing only the time for login and looking up the relevant information also found mobile to be significantly faster. The mean SUS score of NFC-mobile EMR was 71.9 points. CONCLUSIONS NFC integrated with mobile EMR helped physician practice to be more efficient, with good usability. CLINICALTRIAL IRB File No - SMC 2018-01-144-001
Dynamic analysis of wirebonding process on Cu/low-K wafers

Comprehensive dynamic analyses were performed in this paper to simulate wirebonding on Cu/low-K wafers, which involves both the impact and the ultrasonic vibration stages. After the impact stage, the contact region between the pad and the gold ball was welded to allow subsequent ultrasonic vibrations to take place. Parametric studies were carried out to investigate structural responses of the Cu/low-K layer due to variation of the moduli of Cu/low-K components.
The Role of Agricultural Consultants in the New Zealand Research, Development and Extension System

This paper discusses the findings from a pilot study of New Zealand agricultural consultants aiming to describe the role of agricultural consultancy within the New Zealand RD&E system with specific reference to their role in environmental management. The study comprised a literature review, interviews with informed persons and case studies. Agricultural consultants generally operate chiefly in the area of farm economics and management, but their positioning makes them well-placed for impacting positively on environmental management on farms. They assist producer decision-making by providing industry intelligence, up-to-date information and analysis of options. Consultants fulfil the role of knowledge broker reasonably effectively, but some were out of the direct RD&E loop.
The Influence of Investors’ Mood on the Stock Prices: Evidence from Energy Firms in Warsaw Stock Exchange, Poland

The subject of this publication is an analysis of the sentiment of stock exchange investors in terms of making investment decisions in the energy sector of the Polish stock exchange. The investment mood is considered in the context of the possible impact of weather factors on investment decisions. Possible effects are verified in relation to the rates of return and the volume of trading of energy sector entities. The analysis is carried out both in terms of co-integration analyses as well as in econometric terms, in the cross-section of classic OLS models or causality analysis using VAR vector autoregression models. The main purpose of the issues discussed is the problem of indicating (illustrating) the presence or absence of mutual relations between weather factors and the stock market in terms of the methods considered.