Reviewerly/exHarmony huggingface dataset:
El desarrollo socioemocional del adolescente ante los retos y desafíos de la informatización de la sociedad

espanolEl mundo actual esta constantemente en cambio. Es por eso que en el siglo XXI se esta planteando un nuevo escenario global en innumerables aspectos, uno de ellos es, sin lugar a dudas, el avance de las nuevas tecnologias de la informacion y las comunicaciones. En la ultima decada, la computadora con conexion a esta gran red de redes se ha convertido en un elemento de trabajo y comunicacion. Se vive en la era digital, por ello, los adolescentes, tienen que adquirir una alta competencia digital, porque van a vivir en un mundo infotecnologico. Esto no plantea ningun problema teorico, y los practicos son faciles de resolver, pero se tendra que estar muy atento al uso que hacen de estas tecnologias porque puede no estar exento de peligros. A su vez, la adolescencia es una etapa crucial en el desarrollo de toda persona, alcanzandose la madurez cognitiva a traves de la consecucion del pensamiento formal, se establecen avances importantes en el desarrollo de la personalidad que se manifestaran durante la madurez y se desarrollan muchas de las conductas y actitudes sociales que rigen las relaciones con los demas. La adolescencia, ademas de ese significado individual, tiene trascendencia su desarrollo socioemocional en el colectivo social: los adolescentes de hoy son los ciudadanos de manana, por lo que de ellos dependera la sociedad futura. De ahi la importancia que tiene para toda la sociedad la educacion de este grupo poblacional. EnglishThe current world this constantly on changes. It is for that reason that in the XXI century you this outlining a new global place in countless aspects, one of them is, without place to doubts, the advance of the new technologies of the information and the communications. In it finishes it decade, the computer with connection to this great net of nets has become a work element and communication. One lives in the digital era, for it, the adolescents, have to acquire a high digital competition, because they will live in a technology world. This doesn’t outline any theoretical problem, and the practical ones are easy to solve, but one will have to be very attentive to the use that you/they make of these technologies because it cannot be exempt of dangers. In turn, the adolescence is a crucial stage in the development of all person, being reached the maturity cognitive through the attainment of the formal thought, important advances settle down in the development of the personality that they showed during the maturity and many of the behaviors and social attitudes are developed that govern the relationships with the other ones. The adolescence, besides that individual meaning, has transcendence its emotional development in the social community: today’s adolescents are tomorrow’s citizens, for what of them the future society will depend. Of there the importance that has for the whole society the education of this population group.
Construction of Const Dimension Codes from Serval Parallel Lift MRD Code

In this paper, we generalize the method of using two parallel versions of the lifted MRD code from the existing work [1]. The Delsarte theorem of the rank distribution of MRD codes is an important part to count codewords in our construction. We give a new generalize construction to the following bounds: if n&gt;=k&gt;=d, then $Aq(n + k,k,d)&gt;=q^{n(k-\frac{d}{2}+1)}+\sum_{r=\frac{d}{2}}^{k-\frac{d}{2}} A_r(Q_q(n,k,\frac{d}{2})).$ On this basis, we also give a construction of constant-dimension subspace codes from several parallel versions of lifted MRD codes. This construction contributes to a new lower bounds for Aq((s+1)k+n,d,k).
SEPT: Improving Scientific Named Entity Recognition with Span Representation

We introduce a new scientific named entity recognizer called SEPT, which stands for Span Extractor with Pre-trained Transformers. In recent papers, span extractors have been demonstrated to be a powerful model compared with sequence labeling models. However, we discover that with the development of pre-trained language models, the performance of span extractors appears to become similar to sequence labeling models. To keep the advantages of span representation, we modified the model by under-sampling to balance the positive and negative samples and reduce the search space. Furthermore, we simplify the origin network architecture to combine the span extractor with BERT. Experiments demonstrate that even simplified architecture achieves the same performance and SEPT achieves a new state of the art result in scientific named entity recognition even without relation information involved.
Adaptive versus Standard Descent Methods and Robustness Against Adversarial Examples

Adversarial examples are a pervasive phenomenon of machine learning models where seemingly imperceptible perturbations to the input lead to misclassifications for otherwise statistically accurate models. In this paper we study how the choice of optimization algorithm influences the robustness of the resulting classifier to adversarial examples. Specifically we show an example of a learning problem for which the solution found by adaptive optimization algorithms exhibits qualitatively worse robustness properties against both $L_{2}$- and $L_{\infty}$-adversaries than the solution found by non-adaptive algorithms. Then we fully characterize the geometry of the loss landscape of $L_{2}$-adversarial training in least-squares linear regression. The geometry of the loss landscape is subtle and has important consequences for optimization algorithms. Finally we provide experimental evidence which suggests that non-adaptive methods consistently produce more robust models than adaptive methods.
A Benchmark Suite for Evaluating Caches' Vulnerability to Timing Attacks

Timing-based side or covert channels in processor caches continue to present a threat to computer systems, and they are the key to many of the recent Spectre and Meltdown attacks. Based on improvements to an existing three-step model for cache timing-based attacks, this work presents 88 Strong types of theoretical timing-based vulnerabilities in processor caches. To understand and evaluate all possible types of vulnerabilities in processor caches, this work further presents and implements a new benchmark suite which can be used to test to which types of cache timing-based attacks a given processor or cache design is vulnerable. In total, there are 1094 automatically-generated test programs which cover the 88 theoretical vulnerabilities. The benchmark suite generates the Cache Timing Vulnerability Score which can be used to evaluate how vulnerable a specific cache implementation is to different attacks. A smaller Cache Timing Vulnerability Score means the design is more secure, and the scores among different machines can be easily compared. Evaluation is conducted on commodity Intel and AMD processors and shows the differences in processor implementations can result in different types of attacks that they are vulnerable to. Beyond testing commodity processors, the benchmarks and the Cache Timing Vulnerability Score can be used to help designers of new secure processor caches evaluate their design's susceptibility to cache timing-based attacks.
INSIDe: Image recognition tool aimed at helping visually impaired people contextualize indoor environments

Visually impaired (VI) people face a set of challenges when trying to orient and contextualize themselves. Computer vision and mobile devices can be valuable tools to help them improve their quality of life. This work presents a tool based on computer vision and image recognition to assist VI people to better contextualize themselves indoors. The tool works as follows: user takes a picture $\rho$ using a mobile application; ρ is sent to the server; ρ is compared to a database of previously taken pictures; server returns metadata of the database image that is most similar to ρ; finally the mobile application gives an audio feedback based on the received metadata. Similarity test among database images and $\rho$ is based on the search of nearest neighbors in key points extracted from the images by SIFT descriptors. Three experiments are presented to support the feasibility of the tool. We believe our solution is a low cost, convenient approach that can leverage existing IT infrastructure, e.g. wireless networks, and does not require any physical adaptation in the environment where it will be used.
Preliminary assessment of the radiation-hygienic situation at the Aganozero complex deposit

The Aganozero chromium ore deposit, located in the Pudozh District, Karelia, is a complex object for ore and non-metalliferous useful minerals such as chromium ores, platinoids, chrome spinellids as well as Mg-bearing and high-Mg raw materials, e.g. serpentinite, olivinite, dunite and building materials. The primary goal of the present paper is to assess the radiation-hygienic situation at the Burakovian-Shalozero-Aganozero massif, which comprises the Aganozero deposit. Our assessment is essential in connection with the Megaproject to be launched in Karelia, where the Aganozero deposit will play the key role. Our assessment is based on the field and laboratory studies conducted by the authors with regard for the data obtained for this deposit by the Karelian Geological Survey and the appraisal of the radiation-hygienic situation in the Pudozh District done earlier by Nevskgeologia GTP, VSEGEI.
The accuracy of fine needle aspiration biopsy to diagnose breast neoplasm

Breast lump is a very common complaint among women, especially during the reproductive year. Fine needle aspiration biopsy (FNAB) is a less invasive procedure. It is usually performed as an initial diagnosis prior to the operative procedure. The accuracy of the FNAB in Indonesia needs to be elaborated. The study aimed to evaluate the sensitivity and specificity of FNAB in diagnosing breast neoplasm. This is a retrospective study with cross sectional design, involving 145 patients with breast lump who underwent FNAB and histopathology examination in Dr. Sardjito General Hospital, Yogyakarta, from 2012 to 2014. Data analysis showed that female to male ratio was 23. 2:1 commonly occurred at 41-50 years old. Forty-one cases (28.28%) diagnosed as a benign lesion with fibrocystic changes as the most frequentcase (11.19%). The malignant case was 104 cases (71.72%) with ductal carcinoma as the highest case (51.49%). FNAB achieved a sensitivity of 85.58%, a specificity of 100% and a total accuracy of 89.66% in determining the benign or malignant breast lump. The accuracy, sensitivity and specificity of FNAB in diagnosing ductal carcinoma were 83.58%, 85.51% and 81.54%, respectively. The accuracy, sensitivity and specificity of FNAB to diagnose fibrocystic changes lesion were 85.82%, 26.67% and 93.28%, respectively. FNAB can be used as an alternative diagnostic tool to diagnose breast neoplasm. It provides rapid, cheaper, effective, valuable, and less invasive procedure in diagnosis of breast lump.
DIGITAL COMPETENCE IN THE CONTEXT OF LEARNING CONCEPTUAL ASPECTS IN HIGHER EDUCATION INSTITUTIONS

Media and new technologies integration into the learning process of higher educational institutions stimulates the necessity for the development of digital competence. However, the evaluation of digital competence is required before working out and offering the new programs for the improvement of digital competence. This article will review the issue of digital competence focusing on the analyses of its evaluation instruments such as "Attitudes toward Information Technologies (IT) Scale" and "Self-appraisal form". It is the preliminary result of on going applied research of RTA Research Institute for Regional Studies (RIRS). The aim of this research is to adopt "A-IT Scale" to Latvian conditions and to define students and lecturers of Latvian higher educational institutions attitudes towards IT as the necessity for digital competence improvement in the context of learning conceptual aspects in higher education institutions.
High Capacity Lossless Data Hiding in JPEG Bitstream Based on General VLC Mapping

JPEG is the most popular image format, which is widely used in our daily life. Therefore, reversible data hiding (RDH) for JPEG images is important. Most of the RDH schemes for JPEG images will cause significant distortions and large file size increments in the marked JPEG image. As a special case of RDH, the lossless data hiding (LDH) technique can keep the visual quality of the marked images no degradation. In this paper, a novel high capacity LDH scheme is proposed. In the JPEG bitstream, not all the variable length codes (VLC) are used to encode image data. By constructing the mapping between the used and unused VLCs, the secret data can be embedded by replacing the used VLC with the unused VLC. Different from the previous schemes, our mapping strategy allows the lengths of unused and used VLCs in a mapping set to be unequal. We present some basic insights into the construction of the mapping relationship. Experimental results show that most of the JPEG images using the proposed scheme obtain smaller file size increments than previous RDH schemes. Furthermore, the proposed scheme can obtain high embedding capacity while keeping the marked JPEG image with no distortion.
Using Frayer Model Strategy through Vocabulary in Teaching Stusents’ Descriptive Text Writing (A Quasi Experimental Research at the first Grade of MAN 1 Pandeglang”.

Tiara Dwi Oktaviani. 142301729. 2018. “ Using Frayer Model Strategy through Vocabulary in Teaching Stusents’ Descriptive Text Writing (A Quasi Experimental Research at the first Grade of MAN 1 Pandeglang”.(Undergraduate Research Paper, English Education Department Faculty of Education and Teacher Training, the Islamic University of Sultan Maulana Hasanudin Banten. Advisers: As‟ari S.S.,M.Si and Emeliya Sukma Dara Damanik, M.Hum ABSTRACT The research investigates using frayer model strategy through vocabulary in teaching students‟ descriptive text writing. This research conducted based on the research questions 1). How is the students ability in descriptive text. ?2). How is the implementation of Frayer Model Strategy in teaching vocabulary.?3).How is effectiveness of frayer model applied in teaching vocabulary on descriptive text writing. ? 1) To find out students‟ ability in descriptive text first grade MAN 1 Pandeglang . 2). To know the application of frayer model strategy in teaching vocabulary.? 3). To know the effectiveness of frayer model applied in teaching vocabulary on descriptive text writing.? The method used in this research is quasi experimental method using t-test. To find out the significant difference in the students‟ writing between the experimental class and control class through the score of pre-test and post-test. The research conducted in the first grade (X) of MAN 1 Pandeglang , and take students‟ from class X IPA 1 consist of 25 students as the sample of experimental class and X IPA 2 consist of 22 students as the sample of control class. The result of analysis the data conclusion is shows the value of to is = 6,54 > tt = 1.67 in degree of significance 5%. The score of to = 6,54 > tt = 1,67 in degree of significance 5%. (alternative hypothesis ) of the result is accepted and (null hypothesis) is rejected. It means that significance is the effectiveness of using Frayer Model Strategy toward students‟ writing on Descriptive Text at the first grade of MAN 1 Pandeglang. From the result of the test, it can be concluded that the frayer model strategy can improve students‟ writing on descriptive text and also can be applied in teaching learning process, especially in improving students‟ writing. Keywords: frayer model strategy, experiment, students’ writing, descriptive text.
Students Error Analysis in Using Adjective Clauses “Who and Whom” In Present Continues Tense

dominant kinds of errors and the cause of errors made by the first grade of MA Integral Hidayatullah Makbusun. The data were taken from the erroneous adjective clauses “who and whom” in present continues tense . The test was given by the researcher to the students at MA Integral Hidayatullah Makbusun in the first grade that consists of fifteen students. In analyzing the data, the writer took the result of student test as technique of collecting data. The writer calculated the frequency of errors for each kind and also counted the percentages of errors in the form of table to determine the dominant kind of errors. Finally, the researcher analyzed the cause of errors. After analyzing the data, the researcher found 56% in used who and 69% in used whom. The researcher found kinds of errors There are addition (20 errors or 11.76 %), ommision (44 errors or 25.88 %), subtitution (69 errors or 40.59 %) and ordering (37 error or 21.76%). Therefore, the subtitution error has the highest frequency (69 errors or 40.59%). It proved that the students do not understand the pattern and function of adjective clauses “who and whom” sentence since they often ignore to put an item needed in the well-formed adjective clause sentence. In this research, the writer found that those errors are caused the cause by three types, that is first language interference, overgeneralization, and ignorance of rule restriction. And factors cause of error are interlangual transfer and intralingual transfer. Interlangual transfer is the errors caused by the mother tongue influence. While, intralingual transfer is the error caused by the target language influence.
Implementasi User Journey Map pada Evaluasi User Experience Aplikasi Mobile Tunanetra

B-SMART application is an application that can be used by blind users with the concept of virtual braille keyboard,  the application of the concept of braille letters as navigation and input systems so that the visually impaired can use a touch screen smartphone without any trouble to learn from the beginning of use. A system should not only be used and useful, but can create comfort for its users in using the system. B-Smart application is built on the basis of user needs by determining the ideal user journey by the developer. The ideal user journey that was designed in the initial stages of creation has not been validated with the user's journey. In this study, the User Experience evaluation is carried out with user testing to get the user's trip map and compare it with the ideal user journey that has been determined so that the final user journey. recommendations are generated and illustrated in the user journey map. The purpose of this study is to implement the user journey map method to evaluate the user experience of the application so that a user journey map containing pain points can be used as a reference for recommendations to improve user experience with a better user journey. Keywords : braille, application, user experience, user journey
Methods for the Intelligent Analysis of Biomedical Data

The paper discusses methodology of cleaning and analysis of small semi-structured samples of biomedical data. This methodology is aimed at statistical evaluation of harmful production factor correlation with workers’ laboratory test data. As a result of the analysis and interpretation of the data, a deviation from the norm is observed according to some indicators of a clinical blood test in individuals whose occupational activity is associated with harmful factors. Conclusions are drawn about the need for further research in the group of people whose work is related to harmful production factors. It is necessary to employ intelligent methods for analyzing possible health risks and their negative consequences in order to make management decisions. The presented assessment methodology can be used to create an occupational health and safety information system.
A Software-driven Workflow for the Reuse of Language Documentation Data in Typological Studies

Existing language documentation datasets may be reused in typological research projects, if they can be evaluated for suitability. As these datasets may implement the FAIR principles insufficiently, and occur in diverse data formats, data exploration represents an alternative means of evaluation, as well as the core feature of iterative annotation-analysis cycles during the project. This paper presents a semi-automated workflow driven by a set of corpus software, which enables data exploration as part of the research process, and alleviates its cost. The presented software includes a conversion tool to deal with different formats as well as a search and analysis platform for evaluation and exploration. The authors have successfully extended the software, and implemented the presented workflow in a typological research project on the TAM systems of Melanesian languages.
EXAMINATION OF PULMONARY TUBERCULOSIS PATIENTS AT THE REGIONAL GENERAL HOSPITAL (RSUD) JAYAPURA

Tuberculosis is a disease that is directly transmitted and caused by bacteria Mycobacterium tuberculosis. Tuberculosis is an infectious disease that still causes high morbidity and mortality rates in the world. This research aims to determine the value of hemoglobin levels, platelet counts, erythrocytes, the number of neutrophils and Monocytes in positive patients with pulmonary tuberculosis who performed examinations at the Jayapura Regional General Hospital. This research was conducted for 1 month, starting from 1 May to 1 June 2018. This research is descriptive with a laboratory test approach. The population in this research included all patients who had positive pulmonary tuberculosis and the samples in this study were venous blood positive patients with pulmonary tuberculosis. The method used in this examination is flow cytometry using the hematology analyzer Sysmex XN-1000. The results of the research showed that from 20 samples, hemoglobin levels were obtained as much as 30% with normal hemoglobin levels and as much as 70% with low hemoglobin levels 70% of normal platelet value and as much as 30% high platelet count; 70% of the value of erythrocytes is normal and as much as 30% the amount of erythrocytes decreases; Neutrophils are as high as 55% while normal is 45%; and high monocytes as much as 25% and normal monocytes as much as 75%.
Meta-Path Constrained Random Walk Inference for Large-Scale Heterogeneous Information Networks

Heterogeneous information network (HIN) has shown its power of modeling real world data as a multi-typed entity-relation graph. Meta-path is the key contributor to this power since it enables inference by capturing the proximities between entities via rich semantic links. Previous HIN studies ask users to provide either 1) the meta-path(s) directly or 2) biased examples to generate the meta-path(s). However, lots of HINs (e.g., YAGO2 and Freebase) have rich schema consisting of a sophisticated and large number of types of entities and relations. It is impractical for users to provide the meta-path(s) to support the large scale inference, and biased examples will result in incorrect meta-path based inference, thus limit the power of the meta-path. In this paper, we propose a meta-path constrained inference framework to further release the ability of the meta-path, by efficiently learning the HIN inference patterns via a carefully designed tree structure; and performing unbiased random walk inference with little user guidance. The experiment results on YAGO2 and DBLP datasets show the state-of-the-art performance of the meta-path constrained inference framework.