Reviewerly/exHarmony huggingface dataset:
Factors Affecting Web-Based Customer Loyalty: Evidence from B2B Online Recruitment Users Perspectives

This study examines the impact of e-SQ dimensions on e-satisfaction and e-trust, as well as examining the effect of e-satisfaction on e-trust. The effect of both e-satisfaction and e-trust on e-loyalty were also examined in the online recruitment industry in Jordan. An online survey with a sample of 139 business customers. Structural path analysis was used to test the hypothesised relationships between the research constructs. The findings indicate that fulfilment and efficiency are the strongest predictors of e-trust and e-satisfaction. E-trust and e-satisfaction are strong drivers of e-customer loyalty. Finally, 74% of variation in e-loyalty was caused by the e-trust-e-satisfaction path. An online recruitment service provider need not only build a job board or a website but a web-based community to achieve e-satisfaction since it is a major predictor of e-loyalty. From originality perspective, this study extends our understanding of online concerns and experiences of online recruitment website users.
Implementasi Algoritma Naïve Bayes dalam Penentuan Kejadian Stunting pada Anak Balita (Studi Kasus: Puskesmas Sialang)

Stunting is one kind of illness caused by chronic malnutrition and expected will be increase every year. Stunting would be clearly appear when childs are 2 years old. Government efforts in preventing the occurence of stunting can be helped by monitoring whenever Sialang health center do the weighing but this effort not enough because there is no support system that could easier the weighing. This problem also affect the effective of nutritionist’s works. To deal with this problem, a web-based application is created that can determine the incidence of stunting for children under five where naive bayes algorithm assisted in this application. From the results of testing and analysis of the application, it can be concluded that nutritionist in Sialang health center and the mother agree that this application helps in predicting the occurance of stunting and helps in providing information about stunting. This is also supported by testing the application accuracy using k-fold cross validation where the accuracy obtained is in the range 68.71% to 71.86%.
The Rise of Geosciences in Asia: Challenges and Opportunities for Scientific Integrity

&amp;lt;p&amp;gt;The world&amp;amp;#8217;s scientific research hub has been steadily shifting eastwards over the past two decades. Annual R&amp;amp;D spending for the so called Asia-8 economies (China, India, Japan, Malaysia, Singapore, South Korea, Taiwan and Thailand) overtook the EU in the mid-2000s. In the 13th five-year plan (2016-20), China committed to increase R&amp;amp;D spending by 35% by 2020.&amp;amp;#160; In a demographic shift, the number of students from Asian countries in postgraduate education in science and engineering (both domestically and overseas) has grown rapidly.&amp;amp;#160; Other metrics of research productivity, such as journal publication output, show very rapid growth from Asia and from China in particular.&amp;amp;#160; While the big picture is encouraging, the burgeoning growth of science output from Asia imposes constraints on governance systems such as peer review and ethical oversight.&amp;amp;#160; Asia is also a continent of diversity with a variety of national guidelines on scientific integrity, uneven access to resources between and within countries and keen competition to raise the profile of universities within league tables.&amp;amp;#160; Within this context, Asia Oceania Geosciences Society was founded in 2003 to promote the application of geosciences for the benefit of humanity. In a region where natural hazards are prevalent, encouraging the sharing of understanding of risk management through scientific, social and technological means is important.&amp;amp;#160; The challenges of scientific integrity are manifest in this diverse and rapidly growing sector but so too are the opportunities for harnessing research to benefit society.&amp;lt;/p&amp;gt;
Median Filtering Detection Using Markov Process in Digital Images

Digital images are prevalent medium for information representation. The wide acceptability of images also leads to some problems. Few people spread forged images for their own interests. This type of practice questions the credibility of images. To ensure the credibility, forensic investigation is carried out to ensure the genuineness of images. Detection of median filtering is one of the important forensic analyses. Median filtering has several uses in antiforensics. It is applied to hide the impression of image forgery due to its nonlinear nature. Some techniques are evolved to countering these antiforensics i.e., median filtering. These techniques can classify median filter operated and non-median filter operated images. In this paper, we compare three techniques that are based on Markov process. We find that performance of these techniques varies according to the size of database.
Geochemistry, petrogenesis and tectonic setting of Geysour granitoid, East Gonabad

Geysour area is located in the east of Gonabad city and is part of the north of the Lut Block. The rocks in this area include granitoid rocks and high temperature – low pressure metamorphic rocks. Granitoid rocks are composed of granodiorite, enclave (metamorphic and igneous) and microgranites. These rocks belong to medium to high potassium calc-alkaline series, low temperature I type granite and are poorly peraluminous. The Chondrite-normalized REE patterns show that the rocks are enriched incompatible elements, with negative anomalies in Nb, Ta, Sr, P, Ti and Ba and strong enrichment in Rb, K and Th. These patterns are in perfect harmony in granodiorite, microgranular enclave (MME) and microgranite specimens. This harmony also has in upper, middle continental crust and greywackes. Positive anomalies in Rb, Th, Sm and negative anomalies in Ba are prominent in the composition of the crust. Based on the integration of these patterns with the pattern of upper continental crust (UCC) elements and greywackes and adaptation to laboratory work, the Geysour granitoid originated from crustal materials and a little mantle component. The temperature of granitoid formation was estimated based on the Zircon saturation temperature of 748-790 C. Microgranular enclaves have rounded and oval shapes, mixed areole around them, fine grained texture, quartz and plagioclase eyes, bladed biotite, needled apatite, oxide phases in biotite, and the presence of a simple mixed – hyperbolic curve between MME and granodiorite. Field, petrography and geochemistry of the major and rare earth elements data suggest mixing/ mingling (partial melting) processes for the origin of enclaves and the rare earth elements patterns indicates the relationship between Geysour granitoid with the subduction system. Analysing its data, based on logarithmic ratios, show collision tectonic environment. Also, the tectonic-chemical distinctive diagrams suggest a syn-collision to post-collision tectonic type that is interpreted in connection with the collision of the Afghan Block with the Lut Block.
Rancang Bangun Sistem Informasi Monitoring Laporan Inventory Control PT.Daiichi Elevator Indonesia

PT. Daiichi Elevator Indonesia is a company engaged in the sale of elevators, escalators and spare parts. PT. Daiichi Elevator Indonesia applies a single agent from the Chinese company Daiichi Seloon. In the monitoring inventory control system PT. Daiichi Elevator Indonesia. Found some weaknesses of the system such as making safety reports still running manually and not complicated so that planning and data processing is still found some input errors that occur have not been properly computerized, in accordance with the request, so it needs to be designed as a computerized system and equipped with both to produce true and accurate information. This study discusses systems that provide the latest information and provide users as admin and users in the system to input, process, and output preparations. By using the interview method, observation on the system and the PIECES analysis method to see the strength of the company to support this monitoring system also uses the PHP programming language using a database using MySQL, as well as making that is poured using UML (Unified Modeling Language) using diagrams such as use case , activity. In terms of analyzing the existing system at PT Daiichi Elevator Indonesia, it is expected that the admin will no longer make company inventory reports, because the data that will be made into inventory reports will be automatically processed and become print-ready reports through the system.
A Case Study of Refactoring with UML Editor Plug-in for Eclipse – Replace Type Code with State/Strategy –

In this paper, we show a method of refactoring that cannot be handled by the standard features of Eclipse. We use a plug-in that converts programs written in Java to class diagrams and vice versa. By refactoring the class diagrams and transforming them into programs, we obtain refactored programs. We show how to use the plug-in, AmaterasUML, to do refactoring the target programs base on a point of view Replace Type Code with State/Strategy.
Phase Retrieval in Tabletop Radar Range

We are describing the capability to measure the phase of the return signal in a tabletop radar range. The radar rage has a scale factor of 100,000 which allows to use near IR wavelength instead of radio frequency. Accurate scale models are manufactured using multiphoton 3D printer with nanometric resolution. We demonstrated that using phase shifting interferometry, this radar range can retrieve the phase of the radar cross section of complex objects similar to SAR or ISAR radar systems.
Analysis and implementation of deep learning algorithms for face to face translation based on audio-visual representations

Generating synthesized images, being able to animate or transform them somehow, haslately been experiencing a breathtaking evolution thanks, in part, to the use of neuralnetworks in their approaches. In particular, trying to transfer different facial gesturesand audio to an existing image has caught the attention in terms of research and evensocially, due to its potential applications.Throughout this Master's Thesis, a study of the state of the art in the different techniquesthat exist for this transfer of facial gestures involving even lip movement betweenaudiovisual media will be carried out. Specifically, it will be focused on different existingmethods and researches that generate talking faces based on several features fromthe multimedia information used. From this study, the implementation, development,and evaluation of several systems will be done as follows.First, knowing the relevant importance of training deep neural networks using a bigand well-processed dataset, VoxCeleb2 will be downloaded and will suffer a process ofconditioning and adaptation regarding image and audio information extraction fromthe original video to be used as the input of the networks. These features will be oneswidely used in the state of the art for tasks as the one mentioned, such as image keypoints and audio spectrograms.As the second approach of this Thesis, the implementation of three different convolutionalnetworks, in particular Generative Adversarial Networks (GANs), will be donebased on [1]'s implementation but adding some new configurations such as the networkthat manages the audio features or loss functions depending on this new architectureand the network's behavior. In other words, the first implementation will consist of thenetwork based on the paper mentioned; to this implementation, a encoder for audiofeatures will be added; and, finally, the training will be based on this last architecturebut taking into account a loss calculated for the audio learning.Finally, to compare and evaluate each network's results both quantitative metrics andqualitative evaluations will be carried out. Since the final output of these systems willbe obtaining a clear and realistic video with a random face to which gestures fromanother one have been transferred, the perceptual visual evaluation is key to solve thisproblem.
Constrained Templates and Concepts

Templates define parameterized families of C++ entities such as functions (Chapter 10) or class types (Chapter 17). In practice, templates are mostly parameterized on seemingly arbitrary types. Yet most templates cannot be instantiated for just any type; at least not without error. The binary std::max<>() function template, for instance, can only be instantiated for types that support the < operator. And the std::vector<> and std::optional<> class templates may not be instantiated for reference types, void, or array types. Most of your own templates have similar restrictions as well, whether you realized it or not.
Media Sentiment Towards Chinese Investments in Malaysia: An Examination of the Forest City Project

We collected national newspaper articles on the largest Chinese investment project in Malaysia, Forest City, and examined media sentiment polarity using alternative automated sentiment analysis tools. We further checked the robustness of these results using content analysis, and consistently found that sentiment polarity for mainstream news is more volatile than independent online journalism. We also found that the sentiment polarity of Malaysian mainstream media towards Chinese investments is aligned with government interactions between the two countries. This suggests that the sentiment of Malaysian mainstream media towards Chinese investments complies with local government attitudes, while independent online media are less constrained by government control. In light of this, foreign investors looking to more effectively estimate risks should monitor both independent and mainstream media to calculate the sentiment of the host country towards their foreign direct investment projects.
<i>Ziu Paddori e Bellas mariposas:</i> plurilinguismo e spazio in Efisio Vincenzo Melis e Sergio Atzeni

No AccessZiu Paddori e Bellas mariposas: plurilinguismo e spazio in Efisio Vincenzo Melis e Sergio AtzeniStefano FogarizzuStefano FogarizzuSearch for more papers by this authorhttps://doi.org/10.14220/9783737011327.297SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverWiener Arbeiten zur LinguistikVolume 5 1st editionISBN: 978-3-8471-1132-0 eISBN: 978-3-7370-1132-7HistoryPublished online:October 2020 PDF download
Analyzing Heuristic-based Randomized Search Strategies for the Quantum Circuit Compilation Problem

In this work we investigate the performance of greedy randomised search (GRS) techniques to the problem of compiling quantum circuits to emerging quantum hardware. Quantum computing (QC) represents the next big step towards power consumption minimisation and CPU speed boost in the future of computing machines. Quantum computing uses quantum gates that manipulate multi-valued bits (qubits). A quantum circuit is composed of a number of qubits and a series of quantum gates that operate on those qubits, and whose execution realises a specific quantum algorithm. Current quantum computing technologies limit the qubit interaction distance allowing the execution of gates between adjacent qubits only. This has opened the way to the exploration of possible techniques aimed at guaranteeing nearest-neighbor (NN) compliance in any quantum circuit through the addition of a number of so-called swap gates between adjacent qubits. In addition, technological limitations (decoherence effect) impose that the overall duration (makespan) of the quantum circuit realization be minimized. One core contribution of the paper is the definition of two lexicographic ranking functions for quantum gate selection, using two keys: one key acts as a global closure metric to minimise the solution makespan; the second one is a local metric, which favours the mutual approach of the closest qstates pairs. We present a GRS procedure that synthesises NN-compliant quantum circuits realizations, starting from a set of benchmark instances of different size belonging to the Quantum Approximate Optimization Algorithm (QAOA) class tailored for the MaxCut problem. We propose a comparison between the presented meta-heuristics and the approaches used in the recent literature against the same benchmarks, both from the CPU efficiency and from the solution quality standpoint. In particular, we compare our approach against a reference benchmark initially proposed and subsequently expanded in [1] by considering: (i) variable qubit state initialisation and (ii) crosstalk constraints that further restrict parallel gate execution.
Assessment Methods for Teaching English as a Second Language in Blended Learning Approach

This paper attempts to investigate the impact of different assessment methods on the student achievements of English Fundamental course in the context of blended learning implementation. In order to understand the certain impact level of a single assessment method on learners’ achievement as well as the different effect that each method have on that achievement, the data on learning result of the whole English level was collected and gathered in every single semester. A correlation among certain variables including pass rate, fail rate and ineligibility rate is recorded, and the preliminary change, though minor, is marked. As the finding suggests, the pass rate in each academic semester not only is based on the assessment method selected to implement but also depends on other criteria such as the number of new enrollment and the fail rate from the previous semester. It can also be indicated that in order to achieve high pass rate among students in a blended learning setting, it is not only boost learner's autonomy, but also requires effort to improve learners’ technology acceptance level.
System that assists the differently abled people

All human beings are able to see, listen and interact with their external environment naturally. There are some people who are differently abled and unfortunately they do not have the ability to use their senses to the best extent. Such people are dependent on other means of communication like sign language or hand gestures. As this hinders the communication between the challenged person say bed-ridden or even paralysed and the common people, it affects to a great extent in their progress and makes them difficult to achieve their dreams. To bridge this gap in communication there is a need of system of gesture recognition or sign language.
ORGANIZATION OF ADVANCED PHYSICIAN TRAINING IN PRE-REVOLUTIONARY RUSSIA

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Video shows witness and suspect vehicles wanted in murder of Conner Dassa-Holland

There are new clues in the heart-wrenching murder of a young man on Mother's Day and a $6,000 reward offered to help find his killers.
롤랑 바르트의 신화론으로 典故 읽기 ― 北宋 交遊詩의 典故를 대상으로

Classical allusions(典故) were a common part of writing poems for literati who were living in Northern Song Dynasty. Because the government gave preference to intellectuals as its policy, literati could write poems as he or she wishes. Classical allusions are words that contains a story composed mai...
Gender and Age Estimation Without Facial Information from Still Images

In this paper, the task of gender and age recognition is performed on pedestrian still images, which are usually captured in-the-wild with no near face-frontal information. Moreover, another difficulty originates from the underlying class imbalance in real examples, especially for the age estimation problem. The scope of the paper is to examine how different loss functions in convolutional neural networks (CNN) perform under the class imbalance problem. For this purpose, as a backbone, we employ the Residual Network (ResNet). On top of that, we attempt to benefit from appearance-based attributes, which are inherently present in the available data. We incorporate this knowledge in an autoencoder, which we attach to our baseline CNN for the combined model to jointly learn the features and increase the classification accuracy. Finally, all of our experiments are evaluated on two publicly available datasets.
A Phase Transition in Minesweeper.

We study the average-case complexity of the classic Minesweeper game in which players deduce the locations of mines on a two-dimensional lattice. Playing Minesweeper is known to be co-NP-complete. We show empirically that Minesweeper exhibits a phase transition analogous to the well-studied SAT phase transition. Above the critical mine density it becomes almost impossible to play Minesweeper by logical inference. We use a reduction to Boolean unsatisfiability to characterize the hardness of Minesweeper instances, and show that the hardness peaks at the phase transition. Furthermore, we demonstrate algorithmic barriers at the phase transition for polynomial-time approaches to Minesweeper inference. Finally, we comment on expectations for the asymptotic behavior of the phase transition.
ANALISIS KESALAHAN BERBAHASA DALAM TUGAS MAKALAH MAHASISWA PROGRAM STUDI PGMI SEMESTER III TAHUN AKADEMIK 2019/2020

This study aims to describe the form of language errors in the papers of the Madrasah Ibtidaiyah Teacher Education Study Program Odd Semester Academic Year 2019/2020. This research is a descriptive qualitative research. Data source is obtained from language errors in student paper assignments. Language errors analyzed include spelling mistakes. The data collection method used is the documentation method. The data that has been obtained is then analyzed using Miles and Huberman's theory which includes data reduction, display or presentation of data, then conclusions. Based on the results of this study found the form of language errors in the papers of PGMI Study Program Semester III Academic Year 2019/2020 namely: writing errors that include capital and italics. Word writing errors that include writing prepositions, chopping letters, and pronouns. Writing punctuation errors that include period punctuation and comma punctuation.
Teaching learning-based optimisation algorithm: a survey

In recent years swarm intelligence (SI)-based techniques have proven their importance for finding the solution of global optimisation problems. In SI-based algorithms agents act in a group and learn from each other for food foraging surviving, etc. Teaching-learning-based optimisation algorithm (TLBOA) is an efficient approach of dealing with linear, nonlinear and multi-dimensional optimisation problems established by Dr. R. Venkata Rao in 2011. Since its inception, a lot of research has been carried out to make TLBOA more proficient and to apply it to different types of optimisation problems. This paper presents a review of TLBOA developments, applications, comparative-performance, and future research perspectives.
Birliktelik Kuralı Temelinde Kısaltma Genişletme

Finding clear expansion of abbreviations commonly used in the texts is an important requirement for obtaining and understanding the information. If the abbreviations used in the text are thought to be known to everyone, these abbreviations might not be used with clear expansion in the text. However, sometimes used the abbreviation can have more than one clear equivalents and this makes understanding difficult. To be able to create correct expansion from abbreviations is still examined by different methods on as a subject being studied. In the literature reviewed, since the use of the Apriori algorithm for abbreviation expansion is not encountered, in this study, a method is proposed based on the association rule to obtain the clear expansion of the abbreviations in PubMed abstracts. Within the examined data set and abbreviations, even if the abbreviation has more than one clear expansion, the applied method can find the clear expansion of the abbreviation with 87.5% accuracy by a common minimum support value or more than 87.5% accuracy by different minimum support values.