Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimating the Amount of Weapon-usable Nuclear Material Outside Government Control based on Reported Seizures

Terrorists could acquire nuclear weapons by using weapon-usable nuclear material (WUNM) that was stolen or otherwise diverted from legitimate authorities. Multiple well-documented seizures suggest the existence of a black market that draws on an unknown stock of WUNM that is not under the control of authorities. We estimate the total amount of uncontrolled WUNM based on publicly reported seizures and several different statistical methods and models. We estimate that 90 to 250 kilograms—sufficient for up to a dozen nuclear weapons—remain outside the control of legitimate authorities. While this estimate is subject to large uncertainties and potential bias, governments may have additional information about nuclear material seizures that could be used to improve estimates.
Pengklasifikasian Tinggi Dan Berat Badan Manusia Berdasarkan Citra Telapak Kaki Dengan Metode Gabor Wavelet Dan Knn Berbasis Android

Tinggi dan berat badan merupakan salah satu parameter untuk mengidentifikasi seseorang, terlebih lagi bagi seorang forensik. Untuk mengidentifikasi tinggi dan berat badan biasanya dilakukan secara manual, selain dengan cara manual menggunakan alat pengukur tinggi badan dan penimbang berat badan juga dapat menggunakan informasi yang terkait dengan telapak kaki, mungkin hal tersebut dapat digunakan untuk forensik. Hubungan antara tinggi badan dan panjang telapak kaki dapat dinyatakan dalam koefisien korelasi (r). Begitu pula hubungannya dengan berat badan. Maka di implementasikan sistem pengukur tinggi badan dan berat badan manusia melalui telapak kaki berbasis Android. Identifikasi telapak kaki untuk estimasi tinggi dan berat badan ini pertama-tama melakukan penelitian mengenai telapak kaki, tinggi badan dan berat badan. Kemudian dilakukan pengambilan beberapa sampel. Dari hasil penelitian tersebut kemudian di analisa dan diimplementasikan dalam aplikasi Android dengan masukkan berupa gambar cap telapak kaki. Metode yang digunakan dalam pengerjaan tugas akhir ini yaitu Gabor Wavelet dan dengan pengklasifikasian KNN. Dibandingkan dengan tugas akhir sebelumnya dengan topik mengetahui tinggi badan menggunakan cap telapak kaki dan menghasilkan akurasi 73,33% serta waktu komputasi 5,99 detik. Tugas akhir ini mengembangkan topik tersebut, yaitu mengidentifikasi estimasi tinggi dan berat badan manusia menggunakan cap telapak kaki. Serta dapat mengkategorikan tingkat ideal tubuh sesuai dengan Indeks Masa tubuh (IMT) dengan akurasi sebesar 75% dan waktu komputasi 8,92 detik. Maka dari itu, akurasi dari tugas akhir ini lebih baik dari sebelumnya. Kata Kunci : Telapak Kaki, Tinggi Badan, Berat Badan, Gabor Wavelet, K-Nearest Neighbor (K-NN)
ON THE QUALITY OF INTERNET FINANCIAL REPORTING

This study aims to analyze and measure the effect of the mechanism of Good Corporate Governance and Financial Performance on the quality of Internet Financial Reporting. This research was conducted in the manufacturing sector on the IDX during the 20152016 period. Based on the method of sample selection, the sample was obtained at the end of a study of 140 data with 70 issuers being 125 data from the manufacturing sector on the IDX. The analytical method used is multiple regression analysis. The t-test statistic was carried out before multiple regression equation analysis, in the first stage the classical assumption was tested which consisted of normality, multicollinearity, heteroscedasticity, and autocorrelation. Based on the results of the analysis, it is known that institutional ownership, the proportion of independent commissioners, frequency of meeting of commissioners, return on assets and leverage have no effect on Internet Financial Reporting. The coefficient of determination that sees the influence of the independent variable used in the research model of the dependent variable is 9.30%, while the rest (90.70%) is explained by other variables Keyword: GCG, ROA, Leverage, IFR
AUSTRALIAN ’ S MOTIVATIONS FOR LIMITING MEAT CONSMPTION

The aim of this paper is to identify predictors of meat consumption and the intention to reduce it. Meat consumption is one of the major contributors to human made environmental destruction including climate change, biodiversity loss or water and air pollution and at the same time under volitional control meat consumption is an interesting target for interventions. A research model is developed together with an agenda of three hypotheses. The hypotheses will be tested using SPSS statistical software and structural equation modelling techniques. The main contributions of the proposed research are also delineated.
Emergent equifinality : An empirical analysis of ecosystem creation processes

Although industrial organization is increasingly trending towards ecosystem competition, little is known about the processes of ecosystem emergence. We apply institutional theory, event colligation and optimal matching to extract and compare sequences of four types of activities ? re-source, technological, institutional and contextual ? in six successful ecosystem creation cases: Amazon, eBay, Facebook, Google, Salesforce, and Wikipedia. We show that although the emergence process of each ecosystem is unique, there are three common phases of emergence ? Initiation, Momentum, and Optimization. Path dependency and equifinality are then demonstrated through decreasing cross-subject similarities for each successive phase.
Predicting accurate and actionable static analysis warnings

Static analysis tools report software defects that may or may not be detected by other verification methods. Two challenges complicating the adoption of these tools are spurious false positive warnings and legitimate warnings that are not acted on. This paper reports automated support to help address these challenges using logistic regression models that predict the foregoing types of warnings from signals in the warnings and implicated code. Because examining many potential signaling factors in large software development settings can be expensive, we use a screening methodology to quickly discard factors with low predictive power and cost-effectively build predictive models. Our empirical evaluation indicates that these models can achieve high accuracy in predicting accurate and actionable static analysis warnings, and suggests that the models are competitive with alternative models built without screening.
Sentiment Analysis based on Deep Representation Learning and Gaussian Processes Transfer Learning

Sentiment analysis is an important topic in natural language processing research. Most existing sentiment analysis techniques are difficult to handle the domain dependent and sample data bias problems, which puzzles the development and application of sentiment analysis. Target to these problems, this paper presents a sentiment analysis approach based on deep representation learning and Gaussian Processes transfer learning. Firstly, the distributed representations of text samples are learned based on deep neural network representation learning. Next, based on deep Gaussian processes, this approach selects quality samples with the distribution similar to testing dataset from additional dataset to expand the training dataset. The sentiment classifier trained on the expanded dataset is expected to achieve higher performance. The experimental results on COAE2014 dat aset show that the proposed approach improved the sentiment classification performance. Meanwhile, this approach is helpful to reduce the influences of training sample bias and domain dependence.
Modified Semantic Classification for very large image database

Semantic indexing of images is an ongoing study. Recently many researchers in the field of image classification for indexing of the very large image databases are interested in object(s) in an image. Thus, for efficient image matching use the semantic gap between higher concept of users and low-level image features. In this paper, we present a modified semantic classification method of the object(s) into natural/artificial classes, which can be of great interest for semantic indexing applications processing very large image databases. We first show that the modified segmentation method of the color images with irregular textures based on the block homogeneity. These works based on small-size blocks the color histogram of each of which is computed preliminarily once. Thus it works fast but provides rough segmentation. And using the segmented image, we show that dominant orientation features in modified Gabor orientation energy map of artificial objects are very useful for discriminating them from natural objects. Such Gabor energy maps for artificial objects tend to have dominant orientation features through analysis of Gabor filtering results for many object images. Then a modified sum of sector power differences is proposed as a classification measure, which shows a classification accuracy of 90.7% in a test with 3,000 object images. [Chang Min Park. Modified Semantic Classification for very large image database. Life Sci J 2014;11(7):661665]. (ISSN:1097-8135). http://www.lifesciencesite. com. 94
The vowel / əː / ao in Gaelic dialects

This paper examines the development of the Old Irish diphthongs */ai/, */oi/, */ui/ in later varieties of the Gaelic languages. These are generally accepted to have merged as a single phoneme by the end of the Old Irish period (c. 900). In all modern varieties the regular reflex of this phoneme is a long monophthong, represented orthographically as . There are three main developments: (a) in southern Irish has merged with /eː/ and/or /iː/; (b) in southern Scottish andManx varieties remains amidcentral vowel, may be fairly fronted and may perhaps have weak rounding; and there is merger between /əː/ representing and reflexes of earlier */aɣ/; (c) in northern Scottish and northern Irish varieties is realized as a high back unrounded vowel /ɯː/, which is contrastive with mid back unrounded /ɤː/ representing earlier */aɣ/ (these may merge with /iː/ and /eː/ in Ulster). Building on suggestions of earlier scholars, it is argued that it is the developments of */əː/ are explained by its anomalous position in the phonological system of earlier varieties of Gaelic, and its interactions with the palatalization contrast of the consonant system.
Amendment history : Corrigendum ( December 2006 ) Acute HIV revisited : new opportunities for treatment and prevention

Inability to recognize incident infection has traditionally limited both scientific and public health approaches to HIV disease. Recently, some laboratories have begun adding HIV nucleic acid amplification testing to HIV diagnostic testing algorithms so that acute (antibody-negative) HIV infections can be routinely detected within the first 1–3 weeks of exposure. In this review article, we will highlight critical opportunities for HIV treatment and prevention that are presented by these diagnostic strategies. Review Series
DESIGN AND IMPLEMENTATION OF HIGH THROUGHPUT AGING-AWARE RELIABLE MULTIPLIER WITH VARIABLE LATENCY

With the rapid progress in semiconductor technology and the shrinking of device geometries, the resulting processors are increasingly becoming prone to effects like aging and soft errors. As a processor ages, its electrical characteristics degrade, i.e., the switching times of its transistors increase. Hence, the processor cannot continue error-free operation at the same clock frequency and/or voltage for which it was originally designed. In order to mitigate such effects, recent research proposes to equip processors with special circuitry that automatically adapts its clock frequency in response to changes in its circuitlevel timing properties (arising from changes in its electrical characteristics). From the point of view of tasks running on these processors, such autonomic frequency scaling (AFS) processors become slower as they gradually age. This leads to additional execution delay for tasks, which needs to be analyzed carefully, particularly in the context of hard realtime or safety-critical systems. Hence, for real-time systems based on AFS processors, the associated schedulability analysis should be aging-aware which a relatively unexplored topic is so far. In this paper we propose a schedulability analysis framework that accounts such aging-induced degradation and changes in timing properties of the processor, when designing hard real-time systems. In particular, we address the schedulability and task mapping problem by taking a lifetime constraint of the system into account. In other words, the system should be designed to be fully operational (i.e., meet all deadlines) till a given minimum period of time (i.e., its lifetime). The proposed framework is based on an aging model of the processor which we discuss in detail. In addition to studying the effects of aging on the schedulability of realtime tasks, we also discuss its impact on task mapping and resource dimensioning. Keywords—Adaptive hold logic (AHL), negative bias temperature instability (NBTI), positive bias temperature instability (PBTI), reliable multiplier, variable latency.
The timed barbed bisimulation is decidable for timed transition systems with invariants

Timed transition systems are a widely studied model for real-time systems. In this work we deal with an extension of this model, timed transition systems with invariants. The intention of the paper is to show applicability of the general categorical framework of open maps in order to treat the decidability question of the timed barbed bisimulation in the setting of the model being studied. In particular, we define a category of timed transition systems with invariants, whose morphisms are to be considered as simulations of the behavior of one system by the other with an accuracy of τ -actions, and an accompanying (sub)category of path objects, for which the corresponding notions of open maps are developed. We then use the open maps framework to obtain the abstract bisimilarity and the path bisimilarity which are established to coincide with the timed barbed bisimulation. Finally, we consider the decidability question of the bisimulation studied in the setting of finite timed transition systems with invariants.
FINAL REPORT : GEF LOAN 778 INTEGRATED MONITORING AT NISYROS ISLAND , GREECE

The field campaign conducted on the volcanic island of Nisyros in 2006 provided an opportunity to conduct a diverse research program targeted at better understanding the volcanic system and structural setting of the volcano. An integrated monitoring campaign used GPS together with seismic, gravity and electro-magnetic measurements over sustained periods to give insight into the temporal variations in the hydrothermal system. Continued monitoring of the micro-gravity network was complemented by Rapid Static GPS measurements. Finally, kinematic GPS methods were used to support a static gravity survey of the caldera region to provide further information on the structural setting.
STAREJŠIH OBČANOV IN ZAPOSLENIMI NONVERBAL COMMUNICATION AMONG THE RESIDENTS OF THE HOMES FOR THE ELDERLY AND THEIR CAREGIVERS

Introduction: Aging of the population is a growing problem of the contemporary developed countries, including Slovenia. Ever greater number of the aged people live in homes for the elderly. Due to various gerontological and pathological conditions, their nonverbal communication is found to be prevalent over the verbal one. The study was designed to determine the forms and nature of nonverbal communication among the residents and their caregivers. Methods: 267 elderly residents and the same number of their caregivers were included in the study. The nonverbal expressions (facial expressions and head movements, hand and body movements and verbal expressions) were registered by a check list. The data collected were analysed using the analysis of variance for repeated measures (for dependent samples). Results: In both groups, there was a statistically significant difference between the use of facial expression and head movements and verbal expressions as compared to body and hand movements (p < 0.001). Equally statistically significant was the difference in the extent of communication between female and male elderly residents (p < 0.001). Similar results apply to the elders aged 81 years or more who, again, communicated less frequently than younger residents (p < 0.001). Some differences exist also among their various caregivers, but these are statistically insignificant. Conclusion: The results show that the residents of the homes for the elderly as well as their caregivers use all three modes of nonverbal communication to similar extent. Their overall verbal and nonverbal interaction is replete with mutual respect, acceptance, and trust. ČLANKI
Defect detecting in multi-element photodetector by wavelets and neural networks

We consider the application of wavelet transform and neural networks to solving the problem of defect detection (the lack of elements and the presence of adhesions elements) in multi-element photodetectors by processing their images. It is shown that both methods can be successfully applied to the detection of defects. Found that a method based on wavelet transform requires the manual selection of parameters depending on the size of the processed image. Due to the ability of neural networks to learn, a method for the search for defects with neural networks, automatically adapts to the processed image.
Paper : Intravenous Thrombolysis , Time Window , Dosage , and Off-Label

Running Title Thrombolysis Protocol : https://doi.org/10.29252/cjns.4. 15.178 Use your device to scan and read the article online Caspian Journal of Neurological Sciences "Caspian J Neurol Sci" Journal Homepage: http://cjns.gums. ac.ir
Canarium (Canarium indicum) cake as a source of lysine in fermented cassava-copra meal diets with challenzyme for broilers.

LIST OF ACRONYMS ADF AusAID CABI CIAT CTA DM FAO FCR GIT HCL HCN ICDF ME NARI NDF NMI NPS OECD PARDI PICs SBD SPSS USDA WHO TABLE OF CONTENT Acknowledgements Abstract List of acronyms CHARPTER ONE: INTRODUCTION 1 CHAPTER TWO: LITERATURE REVIEW 6 CHARPTER THREE: RESEARCH METHODOLOGY CHAPTER FOUR: RESULTS . CHAPTER FIVE: DISCUSSION . CHAPTER SIX: SUMMARY, CONCLUSION & RECOMMENDATIONS . REFERENCES . APPENDICES .
Vision servo of industrial robot: A review

Robot technology has been implemented to various areas of production and life. With the continuous development of robot applications, requirements of the robot are also getting higher and higher. In order to get better perception of the robots, vision sensors have been widely used in industrial robots. In this paper, application directions of industrial robots are reviewed. The development, classification and application of robot vision servo technology are discussed, and the development prospect of industrial robot vision servo technology is proposed.
Bandwidth-Efficient Wireless OFDM

Due to ever-increasing bandwidth demands in future wireless service, the radio frequency band becomes more and more invaluable. In this paper, we address channel equalization for bandwidth-efficient wireless orthogonal frequency-division multiplexing (OFDM). First, we show that in order to be free of both interchannel interference and interblock interference, wireless OFDM has to occupy a bandwidth wider than the Nyquist rate and use insufficient statistics in symbol demodulation. Thus, the conventional OFDM gains computational efficiency using discrete Fourier transform (DFT) in demodulation at the cost of low efficiency of bandwidth usage and degradation in symbol error performance. Then we consider the OFDM that achieves high efficiency of bandwidth usage, allows interchannel interference and interblock interference to exist, and uses sufficient statistics in symbol demodulation. A one-tap decision feedback equalizer (DFE) is proposed for equalization of the bandwidth-efficient OFDM system. Simulation and numerical evaluation for an indoor wireless asynchronous transfer mode network are carried out. It is demonstrated that though occupying a narrower bandwidth, the one-tap DFE-based bandwidth-efficient OFDM system achieves lower symbol error rate and higher mutual information than the conventional DFT-based OFDM system. The proposed OFDM system presents a monotonically increasing symbol error rate, and a convex-down achieved mutual information with respect to increasing efficiency of bandwidth usage.
COMPARING TWO NEIGHBOURHOOD CLASSIFIICAITONS : A MULTILEVEL ANALYSIS OF LONDON PROPERTY PRICE IN 2011-2014

While various neighbourhood definitions, classification approaches and scales have been used for analysing housing market, there remains a lack of consensus on which classification is best suited. In this study we empirically evaluate two widely used classifications: the postcode and census geography by using all individual London house sales during the period of 2011-2014 through a multilevel modelling approach. The aim is to identify which classification better represents the underlying processes and provides more accurate price predictions. This study has the implication for housing market analysis at national scales and the methodology could be used more widely.
Structural Modifications of Surfactant-Assisted Alumina and Their Effectiveness for the Removal of Dyes

The current study focuses on the development of the modified surface of the alumina by anionic surfactant sodium dodecyl sulfate. The synthesized Surfactant Modified Alumina (SMA) effectively associated with dye molecules and amended their properties. The triphenylmethane (CBB) and thiazine dyes (MB) were selected as a simulated dye wastewater system. The removal was carried out by adsorption method under the optimized amount of adsorbent dosage, the concentration of adsorbate, contact time and temperature. The adsorption isotherm models like Langmuir, Freundlich and Dubinin Radushkevish were employed. The mechanism of the interaction represents the decolorized leuco dye molecules were formed after adsorption. Moreover, the thermodynamic parameters like (∆S°), (∆H°) and (∆G°) were calculated represents the endothermic and spontaneous nature of the adsorption process. The pH at the point of zero charges (pHPZC) was determined. The photocatalytic degradation of respective dye systems was also observed. The surface morphology of (SMA) was determined by FTIR and SEM techniques. Whereas the pseudo-second-order kinetics model was followed in the present system. The Pearson Correlation Coefficient was conjointly applied. The removal efficiency was ascertained to be 99.50% for CBB(R-250) and 95.70% for (MB).