Miracle-dz/UniFAR-FTUs huggingface dataset:
Pembangunan Synsets untuk WordNet Bahasa Indonesia dengan Metode Komutatif

Abstrak WordNet merupakan database leksikal yang berisi informasi kata, kelas kata, dan definisi seluruh himpunan yang terdapat dalam suatu bahasa. Satuan terkecil dari WordNet adalah synset atau himpunan sinonim yang seluruh anggotanya memiliki arti atau makna yang sama. Peran synset sangat penting bagi WordNet selain merupakan satuan utama, synset menentukan makna dari himpunan kata, dan semua relasi semantik juga menghubungkan synset. Oleh karena itu, pada penelitian ini pembangunan synset khususnya untuk WordNet Bahasa Indonesia dengan menggunakan metode konsep komutatif. Setiap anggota synset dapat saling menggantikan, dimana bila terdapat kata w1 yang memiliki sinonim w2, dengan menggunakan konsep komutatif maka kata w2 harus memiliki sinonim w1. Ide pembangunan synset ini diambil dari penelitian [1], dimana perbedaannya pada penelitian ini pembangunan synset dilakukan dengan menggunakan metode komutatif. Performansi yang dihasilkan dari implementasi komutatif terhadap teori komutatif menghasilkan nilai F1 sebesar 100%. Kata kunci : metode komutatif, synonim set, synset, WordNet. Abstract WordNet is a lexical database that contains word information, word classes, and definition of all sets contained in a language. The smallest unit of WordNet is a synset or set of synonyms that all member have the same meaning or significance. The role is very important for the WordNet synset. In addition to the main unit, synset determine the meaning of the set words, and all the semantic relationships also connect to synset. Therefore, in this research the building synset especially for WordNet Bahasa by using method of commutative concept. Each synset member can interchanged, if there is a word w1 has a synonym w2, using concept of commutative then word w2 must have a synonym w1. This idea was taken from research [1], where the difference in this study focus on using the commutative method. The performance resulting from the commutative implementation of the commutative theory result an F1 for 100%. Keywords: commutative method, synonym set, synset, WordNet.
Integrated Service Platform for the Information Explosion Process in Water Resources Industry and its Application Pattern

The article deals with desription on promotion situation of the information explosion process in water resources industry and analysis about main problems in water information application.Key problems in promotion of the imformation explosion trend in water resources industry are analyzed in aspects of water information and its application characteristics,component-based application,information sharing,high-performance computering as well as subject-oriented application pattern.The author discusses detailedly the work needs to be enhanced in promotion of the information explosion trend in water resources industry,and puts forward goal of applying new pattern,thinking system of integrated service platform,as well as application pattern which takes knowledge service and collabrative decision-making platform as its core.
CURATe Measures for Human-Integrated Systems: A Model Checking Approach

To support safe and effective human-system integration, a safety-critical system should be Complete, Understandable, Robust, Accurate, and Time efficient (CURATe) with respect to the user, interface, device, and environmental context. Using highly automated model checkers, researchers have shown that CURATe-related specifications can be verified early in the design process for a subset of system elements and interactions. This research introduces an extended model checking approach that aims to address all CURATe measures with respect to a broader range of human-integrated system elements: the interface, including documentation, configurable hardware, and control units; the user, including capabilities, actions, and knowledge; the device, including automation, actuators, and transducers; and the environment, including stimuli and constraints that could shape behavior. We describe a concept for what elements/interactions among them need to be modeled formally as well as a concept for applicable CURATe specifications. With respect to these concepts, we propose a formal model architecture and one temporal logic encoding for each CURATe specification.
Study of Sensorless Brushless DC Motor based on dSPACE

Aiming at the typical trapezoidal back electromotive force (emf) of BLDC,an indirect sensing method,the third harmonic component,is described,which guarantee the BLDC operating over a wide speed range,while keeping maximum torque per ampere.The simulation results shown the good performance and the high efficiency.
Penerapan User-Centered Design dalam Pengembangan Aplikasi Pencarian Gedung Berbasis Android

Sistem informasi semakin dibutuhkan oleh banyak pihak, khususnya sistem informasi pada perangkat bergerak yang dapat membantu kegiatan sehari-hari atau hanya sekadar pemenuhan kebutuhan pribadi manusia. Lingkungan kampus merupakan salah satu tempat dimana sistem informasi sangat dibutuhkan, salah satunya untuk pencarian infromasi gedung dan lokasi gedung yang tersebar di seluruh kampus serta rute atau jalur yang dapat ditempuh oleh pengguna untuk menuju ke sebuah gedung. Pada saat ini hanya tersedia informasi dan peta kampus yang sifatnya offline , sehingga menyulitkan pengguna dalam mengkases informasi tersebut. Dengan melihat kondisi ini, maka dikembangkan sebuah aplikasi sistem informasi pencarian gedung yang diimplementasikan pada smartphone Android dengan menggunakan metode User-Centered Design yang mengacu pada user experience calon pengguna. Tujuan utama dari metode tersebut adalah untuk membuat suatu sistem informasi yang user-friendly dengan tingkat usability yang tinggi. Berdasarkan hasil pengujian pada tiga kriteria pengujian usability yaitu efektivitas, efisiensi dan tingkat kepuasan pengguna, maka dihasilkan nilai pada pengujian usability menurut efektivitas yaitu 87.27%, menurut efisiensi yaitu 90% dan menurut kepuasan pengguna sebesar 83%. Serta sistem memiliki nilai validitas sebesar 100%.
A Survey of Semantic Keyword Search Approaches

A broad range of approaches to semantic information retrieval has been developed in the context of semantic web concept. Ontologies take the significant role for improving the precision of search. In the last few years, there has been an increase in the amount of information stored in semantically enriched knowledge bases, represented in RDF format. To access RDF information, the semantically formal queries are required. However framing such queries is inappropriate for inexperience users because they need specialist knowledge of the underlying ontology and syntax. Therefore an easy-to-use interface is required. Many semantic searches provide solutions to solve this limitation. This survey introduces interfaces of semantic search systems built on the top of semantically enriched knowledge bases. Semantic keyword search systems are particularly focused. The common idea of semantic keyword search architecture is presented and six semantic keyword search systems implemented by different approaches were investigated. We briefly discuss comparison of them by our criteria. The criteria were derived from the common ideas and technical implementations used in these approaches. The evaluation methods in three features: effectiveness, efficiency and usability are also explored to guide researchers on how to conduct experiment evaluations. Finally, the open issues on semantic keyword searches are raised. These give directions for future application development and the research.
Word Embedding for Rhetorical Sentence Categorization on Scientific Articles

A common task in summarizing scientific articles is employing the rhetorical structure of sentences. Determining rhetorical sentences itself passes through the process of text categorization. In order to get good performance, some works in text categorization have been done by employing word embedding. This paper presents rhetorical sentence categorization of scientific articles by using word embedding to capture semantically similar words. A comparison of employing Word2Vec and GloVe is shown. First, two experiments are evaluated using five classifiers, namely Naive Bayes, Linear SVM, IBK, J48, and Maximum Entropy. Then, the best classifier from the first two experiments was employed. This research showed that Word2Vec CBOW performed better than Skip-Gram and GloVe. The best experimental result was from Word2Vec CBOW for 20,155 resource papers from ACL-ARC, features from Teufel and the previous label feature. In this experiment, Linear SVM produced the highest F-measure performance at 43.44%.
Management of Frankliniella occidentalis (Western Flower Thrips), and the Potential use of Entomopathogenic Nematodes: A South African Perspective

Frankliniella occidentalis (Pergande) (Thysanoptera: Thripidae) or western flower thrips (WFT), has become a global pest of economic importance. WFT is extremely polyphagous, attacking a wide range of host plants in both field and greenhouse production systems. Chemical control is the most frequently used method for the control of WFT, but their cryptic nature, which protects them from contact with insecticides, and their resistance to many insecticides, have become critical limiting factors in terms of control. This has led to heightened emphasis on biological control in integrated pest management (IPM) programmes for WFT. Most commonly used predators are relatively large and unable to enter the cryptic spaces inhabited by WFT, thus limiting their ability to reduce WFT populations. Entomopathogenic nematodes (EPNs) and fungi offer alternative biocontrol options that suit IPM programmes well. This review focuses on WFT and its management, with an emphasis on crops being grown under cover, and on the use of EPNs for biocontrol, from a South African perspective.
Persistent Corneal Epithelial Defects: A Review Article

Persistent corneal epithelial defects (PEDs or PCEDs) result from the failure of rapid re-epithelialization and closure within 10-14 days after a corneal injury, even with standard supportive treatment. Disruptions in the protective epithelial and stromal layers of the cornea can render the eye susceptible to infection, stromal ulceration, perforation, scarring, and significant vision loss. Although several therapies exist and an increasing number of novel approaches are emerging, treatment of PEDs can still be quite challenging. It is important to treat the underlying causative condition, which may include an infection, limbal stem cell deficiency, or diabetes, in order to facilitate wound healing. Standard treatments, such as bandage contact lenses (BCLs) and artificial tears (ATs), aim to provide barrier protection to the epithelial layer. Recently-developed medical treatments can target the re-epithelialization process by facilitating access to growth factors and anti-inflammatory agents, and novel surgical techniques can provide re-innervation to the cornea. PEDs should be treated within 7-10 days to avoid secondary complications. These interventions, along with a step-wise approach to management, can be useful in patients with PEDs that are refractory to standard medical treatment. In this review, we discuss the epidemiology, etiology, diagnosis, current and novel management, and prognosis of persistent epithelial defects.
Identification and Molecular Characterisation of mariner-Like Elements in the Tomato Leaf Miner Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae)

The tomato leafminer, Tuta absoluta (Meyrick), (Lepidoptera: Gelechiidae), is a devastating pest of tomato that has recently become a major threat to tomato production in many countries in the Mediterranean Basin, Africa and Asia. Mariner-like elements (MLEs) are class-II transposons with short inverted terminal repeats (ITR) flanking a single open reading frame (ORF) coding for a transposase. In the present study, we have isolated eight full-length MLEs from the tomato leaf miner by PCR amplification, using a single primer designed from the ITR of Hyalophora cecropia L. Mariner signature sequence D,D(34)D, as well as the conserved amino acid motifs, WVPHEL and YSPDLAP(T)D, were identified. However, sequences analysis revealed defective elements with the presence of several kinds of mutations generating stop codons, frameshifts, and non-functional transposase. Based on predicted transposase sequences, T. absoluta MLEs (Tamar1) belongs to the cecropia subfamily and clustered closely with MLEs from other Lepidoptera members suggesting vertical genetic transmission from a common ancestor. The identification of mariner-like elements in this invasive species will be useful to understand the genome dynamics in Lepidoptera.
IMPLEMENTATION OF HIGH CAPACITY ACTIVE POWER FILTER WITH MAIN CIRCUIT OF MULTIPLE PERFORMANCE

For active power filter the switch frequency decreases while the capacity of the filter increases, and the switch frequency influences the compensation effect of active power filter remarkably. In this paper a high capacity active power filter with main circuit of multiple performance is presented. The configuration of main circuit and its control method are given. Experiment shows that this method effectively solves the contradiction between the capacity of active power filter and its switch frequency. The result is satisfactory.
Recommended First-Line Antiretroviral Therapy Regimens and Risk of Diabetes Mellitus in HIV-Infected Adults in Resource-Limited Settings

Abstract Objective The use of some antiretroviral drugs has been associated with a higher risk of diabetes mellitus (DM) in HIV-infected patients, but the risk associated with antiretroviral drug combinations remains unclear. We investigated the association between first-line antiretroviral therapy (ART) regimens, recommended by the World Health Organization (WHO) in 2016, and the risk of DM in adults. Method We selected all HIV-infected adults within the Thai National AIDS Program who started a first-line ART regimen consisting the following between October 2006 and September 2013: zidovudine+lamivudine+nevirapine; tenofovir disoproxil fumarate (TDF)+lamivudine+nevirapine; zidovudine+lamivudine+efavirenz; TDF+lamivudine/emtricitabine+efavirenz; zidovudine+lamivudine+ritonavir-boosted lopinavir (LPV/r); or TDF+lamivudine+LPV/r. Diagnosis of DM was defined as having at least 2 of the following characteristics: fasting plasma glucose ≥126 mg/dl, 2010 WHO ICD-10 codes E11-E14, or prescription of antidiabetic drugs. To identify ART regimens associated with DM, we used competing risks regression models that considered mortality without DM as a competing event and adjusted for sex, age, pancreas disease, and stratified by groups defined by a score summarizing the propensity to receive a specific first-line ART regimen. Results Data from 35 710 adults (49.1% male; median age, 35.0 years; median follow-up, 2.0 years) were included. In the multivariable analysis with zidovudine+lamivudine+nevirapine as the reference group, a higher risk of DM was observed with TDF+lamivudine/emtricitabine+efavirenz (adjusted sub-distribution hazard ratio [aSHR], 1.6; 95% confidence interval [CI], 1.3–1.9), zidovudine+lamivudine+efavirenz (aSHR, 2.0; 95% CI, 1.7–2.3), and TDF+lamivudine+LPV/r (aSHR, 2.7; 95% CI, 1.9–3.9). Conclusions Several of the WHO recommended ART regimens, particularly tenofovir + lamivudine +LPV/r and regimens containing efavirenz, may be associated with an increased risk of DM.
OPC Technology and Its Application to the Development of Virtual Instrument

The working process and working principal and relevant theory were introduced.To LabVIEW software development platform,three contact solutions were put forward:to visit OPC server by Active automation interface;to visit OPC server through DataSocket technology;to visit OPC server through DSC module.The character and suitable range of three method were analyzed.The practical result shows that it is benefit to visual instrument system development,maintainability and expansibility.
A Rapid Star Map Identification Method Based on Ant Colony Clustering Algorithm

In order to increase star map identification speed and successful rate for large field of view,a rapid star map identification method based on ant colony clustering algorithm is presented.This method adopts ant colony clustering algorithm to quickly carry out clustering analyze for star-points set,chooses the optimal class and draws one circle by the center of circle being every star point in this class and the radius being special angular distance,and then composes a set including all star points in circle.Then angular distance of two star points is solved in each star-points set,and completes the path optimization of sets by ant colony algorithm.At last,the rapid match and recognize is be done by comparing the result of optimization with the corresponding data in guidance star database.The experimental results show that,compared with existing identification methods,this method has a high recognition rate,good real-time performance and robustness,and it only needs a small content database.
Reactive Oxygen Species Modulator 1 (ROMO1), a New Potential Target for Cancer Diagnosis and Treatment

Today, the incidence of cancer in the world is rising, and it is expected that in the next several decades, the number of people suffering from cancer or (the cancer rate) will double. Cancer is defined as the excessive and uncontrolled growth of cells; of course (in simple terms), cancer is considered to be a set of other diseases that ultimately causes normal cells to be transformed into neoplastic cells. One of the most important causes of the onset and exacerbation of cancer is excessive oxidative stress. One of the most important proteins in the inner membrane of mitochondria is Reactive Oxygen Species (ROS) Modulator 1 (ROMO1) that interferes with the production of ROS, and with increasing the rate of this protein, oxidative stress will increase, which ultimately leads to some diseases, especially cancer. In this overview, we use some global databases to provide information about ROMO1 cellular signaling pathways, their related proteins and molecules, and some of the diseases associated with the mitochondrial protein, especially cancer.
Surface electromyography in manual therapy - categorization of purpose and quality of reporting

Introduction: Manual therapy (MT) is widely used by several healthcare professions to treat musculoskeletal disorders (MSD’s), still, there isn’t enough evidence to support its choice a therapeutic approach to these disorders. Researchers have been using surface electromyography (sEMG) to understand the effects and efficiency of MT. This study aims to evaluate the current literature using sEMG to assess muscle parameters within the scope of the use of MT. Methods and Analysis: The search will be performed in 26 electronic databases and journals using the PRISMA Statement. Selection of the studies, data extraction and validation will be performed independently by two reviewers. These studies shall be categorized towards their aims to capture what the authors have been interest in. The overall quality will be assessed using Jadad Scale and the quality of the reporting of EMG data will be assessed using the ISEK standards. This review is oriented toward identifying failure to report of methods in the studies selected, which directly affect their reproducibility. Dissemination: Outcomes of this review will be published in a peer-review journal. It may encourage future authors in this area of study to avoid failing to report all the relevant data in their studies.
Methods for the Selection of Covariates in Nutritional Epidemiology Studies: A Meta-Epidemiological Review

ABSTRACT Background Observational studies provide important information about the effects of exposures that cannot be easily studied in clinical trials, such as nutritional exposures, but are subject to confounding. Investigators adjust for confounders by entering them as covariates in analytic models. Objective The aim of this study was to evaluate the reporting and credibility of methods for selection of covariates in nutritional epidemiology studies. Methods We sampled 150 nutritional epidemiology studies published in 2007/2008 and 2017/2018 from the top 5 high-impact nutrition and medical journals and extracted information on methods for selection of covariates. Results Most studies did not report selecting covariates a priori (94.0%) or criteria for selection of covariates (63.3%). There was general inconsistency in choice of covariates, even among studies investigating similar questions. One-third of studies did not acknowledge potential for residual confounding in their discussion. Conclusion Studies often do not report methods for selection of covariates, follow available guidance for selection of covariates, nor discuss potential for residual confounding.
Guidelines on Hardware-Rooted Security in Mobile Devices

Many mobile devices are not capable of providing strong security assurances to end users and organizations. Current mobile devices lack the hardware-based roots of trust that are increasingly built into laptops and other types of hosts. This document focuses on defining the fundamental security primitives and capabilities needed to enable more secure mobile device use. This document is intended to accelerate industry efforts to implement these primitives and capabilities. The guidelines in this document are intended to provide a baseline of security technologies that can be implemented across a wide range of mobile devices to help secure organization-issued mobile devices as well as devices brought into an organization, such as personally-owned devices used in enterprise environments (e.g., Bring Your Own Device, BYOD).
Quantizing single-molecule surface-enhanced Raman scattering with DNA origami metamolecules

Plasmonic nanostructures supporting strong spatially confined field enhancement are developed to probe single-molecule SERS. Tailored metal nanoclusters have been actively developed to manipulate light at the subwavelength scale for nanophotonic applications. Nevertheless, precise arrangement of molecules in a hot spot with fixed numbers and positions remains challenging. Here, we show that DNA origami metamolecules with Fano resonances (DMFR) can precisely localize single dye molecules and produce quantified surface-enhanced Raman scattering (SERS) responses. To enable tailored plasmonic permutations, we develop a general and programmable method for anchoring a set of large gold nanoparticles (L-AuNPs) on prescribed n-tuple docking sites of super-origami DNA frameworks. A tetrameric nanocluster with four spatially organized 80-nm L-AuNPs exhibits peak-and-dip Fano characteristics. The drastic enhancement at the wavelength of the Fano minimum allows the collection of prominent SERS spectrum for even a single dye molecule. We expect that DMFR provides physical insights into single-molecule SERS and opens new opportunities for developing plasmonic nanodevices for ultrasensitive sensing, nanocircuits, and nanophotonic lasers.
Using (emerging) memories for machine learning hardware

The merit of dot-vector product implementations us-ing (non-volatile) memory fabrics for more efficient machine learning needs to be evaluated at system level. We demonstrate the use of MRAM based cells for in-place binary multiplication with limited accuracy loss at the system-level of 1.4% for MNIST and <10% for CIFAR-10.
Information Fusion of Pressure Sensor Based on RBF Network

As temperature drift exist in many pressure sensors, the output of pressure sensor is easily affected by non-ob- jection parameters, such as environment temperatures, voltage fluctuation and so on, in the application. A network modelwith two inputs andsingleoutputisconstructed by radial basisfunction neural network. High precision temperature compensation ofpressure sensor is achieved by gradient descend algorithm with a momentum factorin this network model. The result is that the stability and liability of the pressure sensors are improved.