Reviewerly/exHarmony huggingface dataset:
AarogyaSetu: Behavior Analysis and Its Efficacy

Background: To be victorious over COVID-19 and to fight half a million cases daily, an individual's cognitive and behavioural attitude towards the Aarogyasetu application is very vital.Objective: To interpret behavioural aspects and approach of people along with assessing their views and opinions through a survey.Methods: A cross-sectional situational based survey was circulated through different digital platforms among Indian residents aged above 15 years.A descriptive statistical approach was used to analyze the data.Results: A total of 220 people have completed the survey.The majority of them expressed that they have always forgotten to use the application, whereas most individuals accepted that they have generally provided incorrect information in the application due to the fear of quarantine procedures.It has been recorded that the Participatory disease surveillance (PDS) based contact tracing application has several limitations, as they do not cater to asymptomatic people in addition to it disabling Bluetooth and GPS services. Conclusion:Geospatial technology used in contact tracing application had been very beneficial for disease surveillance and to curb plus control the spread of COVID-19 disease.The data recorded through the survey was irregular and showed many variations, as a result true potential of the technology was not liberated.The doubts of people should be acknowledged to increase efficacy of the Aarogyasetu application.
APLIKASI PENGAMANAN BASIS DATA MENGGUNAKAN ALGORITMA XXTEA

Theft of data derived from database backups can be a loophole in data security. These loopholes can be avoided by securing using cryptography on data backup files. So unauthorized parties cannot exploit loopholes to misuse data. The method that the author uses in this final task is the encryption method using the XXTEA Algorithm. Encryption is the name of a process where it scrambles the data contained in a file or message. So it is difficult to know the contents of the data if you do not know the specific password. The XXTEA algorithm is a symmetric cryptographic algorithm that uses the same key to perform encryption and decryption processes. This research resulted in an application utilizing XXTEA algorithm and PHP 7.3 programming language. Hasil trial that the author did, generated in the form of a file with sql format that has been encrypted and has a key. The database file can be decrypted by using the same key in the encryption process.
LibGuides: Alma Training: Resource Management

Alma training, documentation and resources for staff. Learn how to add and edit bibliographic records and activate electronic collections in Alma.
Spatially coupled LDPC-BCH codes in quantum secure direct communications

Quantum secure direct communication systems are limited by high erasure probabilities and low receiving probabilities due to the high light source losses in the optical elements and optical fibers. A channel mitigation method based on spatially coupled LDPC-BCH codes is presented here to ensure reliable information transformations in quantum secure direct communication systems to resolve the problems of low-rate and Shannon limit-approaching code designs. Spatially coupled LDPC-BCH codes are constructed by coupling multiple identical block LDPC-BCH codes with edge spreading. The extrinsic information transfer functions of the spatially coupled LDPC-BCH code are analyzed to derive the decoding thresholds for the code ensembles. Simulations show that the spatially coupled LDPC-BCH codes have decoding thresholds closer to the Shannon limit with lower bit error rates than block LDPC-BCH codes. The spatially coupled LDPC-BCH code channel mitigation scheme has a transmitting efficiency of 0.001 and a bit error rate less than 10 −6 when the channel receiving probability is set at 0.4%. 摘要 受光源、光器件和光纤损耗影响, 量子安全直接通信系统的信息传输面临删除概率极大、接收概率极低的难题。为保证量子安全直接通信系统信息传输的可靠性, 该文提出了基于空间耦合LDPC-BCH码的信道补偿方案, 解决了极低码率码字构造和逼近Shannon限实用码字设计2方面的问题。将多个相同的分组LDPC-BCH码通过边连接的方式耦合起来构造得到了空间耦合LDPC-BCH码。建立了空间耦合LDPC-BCH码集的外信息转移函数, 并基于外信息转移函数分析了码集的译码门限值。仿真结果表明：与分组LDPC-BCH码相比, 空间耦合LDPC-BCH码的译码门限更接近Shannon限, 误比特率更低。在信道接收概率为0.4%时, 采用传输效率为0.001的空间耦合LDPC-BCH码信道补偿方案, 系统误比特率低于10 -6 。
Predictive Validity of English Proficiency Levels for Academic Achievement

AbstractStudies on English language teaching (ELT) in Iran suggest that it is not successful enough in producing proficient language learners. University students’ low English proficiency limits their exploitation of academic resources and raises concerns about the quality of their educations. The current study is an attempt to find out the predictive validity of English proficiency level for academic achievement in the fields of English literature and Teaching English as a Foreign Language (TEFL). To do so, a twofold procedure has been adopted. In the first phase, 83 undergraduate and postgraduate students in the above-mentioned courses of state universities in Iran were selected by convenience sampling. The correlation of their English proficiency level in three language skills of listening, reading, and writing, measured by an IELTS test, and their academic performance, measured by their current semester grade point averages (GPAs), was examined. Statistical data analysis disclosed a significantly positive correlation between the two variables under scrutiny. In the second phase, 155 students majoring in the same courses selected by convenience sampling were asked to fill out an already established 4-point Likert scale questionnaire in order to investigate the students’ perception about the effect of English proficiency on academic performance compared with other important factors. Statistical data analysis of the questionnaire revealed that ‘English proficiency’ was the eighth important factor among 35 factors influencing academic performance. The findings of the present study suggest that English proficiency functions as a cluster encompassing predictive validity for educational success as well as significant impact on students’ academic achievement. Thus, stricter measures regarding students’ English proficiency filtering should be applied for admission to the Iranian universities.
PCN233 Concordance of Clinical Vs. Algorithm Based Line of Therapy Determination in Lung Cancer

In real-world oncology research, algorithms may be employed to establish line of therapy (LOT) by utilizing treatment information from electronic health record (EHR) structured data. It is important to validate how well an algorithm-based LOT matches with a clinically classified LOT. We evaluated concordance of LOT identified by algorithm (structured) and clinical inputs (unstructured). This retrospective study included 300 randomly selected adult patients diagnosed with stage IV small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) between 01-Jan-2017 and 30-Sep-2019 within The US Oncology Network. Study data including both structured data (programmatically extracted) and unstructured data (requiring manual chart review) were captured from the EHR. Treatment start/stop dates and death dates were sourced from structured and unstructured data, while reasons for treatment initiation and discontinuation came from unstructured data. 1L and 2L were assigned utilizing a structured data algorithm employing dates of treatment. This was evaluated against the LOT assigned by employing the clinical inputs of reasons for treatment initiation and discontinuation. Of the 150 patients with SCLC, 148 initiated 1L by both structured and unstructured data (98.6% percentage-agreement); all reported the same regimen (100% percentage-agreement). By algorithm and clinical inputs, 33 patients initiated 2L having identical regimens (kappa-statistic: 0.81, 95%CI: 0.69-0.92). There were 11 discordant patients for 2L: 1 and 10 patients by unstructured and structured data, respectively. Of the 150 patients with NSCLC, 147 initiated 1L by both structured and unstructured data (98% percentage-agreement); 135/147 reported the same regimen (91.8% percentage-agreement). By algorithm and clinical inputs, 29 patients initiated 2L having identical regimens (kappa-statistic: 0.56, 95%CI: 0.42-0.70). There were 27 discordant patients for 2L: 4 and 23 patients by unstructured and structured data, respectively. Algorithm-based utilization of structured data could appropriately approximate LOT. However, approximations were more robust with intravenous treatments.
A Study on Phonologycal Process: A Case on Indonesian EFL Students' Pronunciations

The present article seeks to discuss the phonological process concerning the alterations in English sounds produced by Indonesian EFL students. This study drew on generative phonology and utilized Schane’s (1973) categories of the phonological process to highlight the changes in English sounds. This study applied a qualitative method with a descriptive research design. All data of this study were gathered through digitally recording eight EFL students’ oral presentations in the research proposal seminars. According to the results of this study, the transformations in the English sounds arose in both the consonant and vowel sounds of the English, where these changes attributed to the four categories of phonological process, including assimilation, dissimilation, deletion, and insertion. The present study also found the occurrences of a double and triple different phonological process in single word utterance produced by participants of this study. This study signified that such changes in English sounds occurred owing to the mother tongue influence. The results of this study offer a significant contribution to the insights into both linguistics and EFL instruction.
Adversarial recovery of agent rewards from latent spaces of the limit order book.

Inverse reinforcement learning has proved its ability to explain state-action trajectories of expert agents by recovering their underlying reward functions in increasingly challenging environments. Recent advances in adversarial learning have allowed extending inverse RL to applications with non-stationary environment dynamics unknown to the agents, arbitrary structures of reward functions and improved handling of the ambiguities inherent to the ill-posed nature of inverse RL. This is particularly relevant in real time applications on stochastic environments involving risk, like volatile financial markets. Moreover, recent work on simulation of complex environments enable learning algorithms to engage with real market data through simulations of its latent space representations, avoiding a costly exploration of the original environment. In this paper, we explore whether adversarial inverse RL algorithms can be adapted and trained within such latent space simulations from real market data, while maintaining their ability to recover agent rewards robust to variations in the underlying dynamics, and transfer them to new regimes of the original environment.
Cross-Age Face Recognition Using Deep Learning Model Based on Dual Attention Mechanism

Although remarkable progresses have been made in the field of face recognition, the cross-age problem is still a huge challenge. The cross-age problem is mainly reflected in the fact that in addition to the unique identity features of each person, facial features also contain age features changing during aging. To address this problem, we propose a novel cross-age face recognition framework based on dual attention mechanism which combines residual-attention mechanism and self-attention mechanism. The introduction of attention mechanism makes the model focus more on identity features, ignoring the influence of age features. Extensive experiments are conducted on two well-known face aging datasets (MORPH and CACD) to show that the proposed method achieves notable improvement over state-of-the-art algorithms.
DSSE: Distributed Security Shielded Execution for Communicable Cyber Threats Analysis

Cloud computing is a new computing model which enables individuals and organizations to attain access to huge computing resources without capital investment. It does mean that users can utilize computing resources in pay per use fashion. Transmissible cyber threats nowadays have been considered one among the major serious security problems in cyberspace. Several techniques were proposed to model, simulate and identify threats' sources and their propagation in large-scale distributed networks. Most techniques are based on the analysis of real networks dataset that contains sensitive information. Traditional in-memory analysis of these dataset always leads to data leakage because of system vulnerabilities. If the dataset itself is compromised by adversaries, this threat cost would be even higher than the threat being analyzed. To overcome this problem, in this paper, a new Distributed Security Shielded Execution (DSSE) for communicable cyber threats analysis using the Secure Identity Based Encryption (SIBE) technique is proposed. The purpose of the proposed work is to provide security sensitive operations then implemented properly in the Disef enclave. And to minimize potential Iago attacks in Disef system. To introduce a Novel SIBE unbreakable new key-value encrypted format integrated with the version number and update counter to prevent possible rollback and replay attacks. Also to secure a Disef system in high availability with multi-cloud support. The experimental outcomes showed that the proposed framework supports secure cost analysis and response time analysis of large network dataset and has comparable performance with systems that have no confidentiality and integrity guarantees.
A Dynamic Data Driven and Data Segregation Approach Image Restoration Using Neural Networks

Image restoration is the method of restoring an image to its original state by removing noise and blur. Image disclarity is crucial to maintain in a variety of cases, including photography, where motion blur is caused by camera shake when taking images, radar imaging, where the impact of image system reaction is removed, and so on. Image noise is an unwanted signal that appears in an image from a sensor, such as a power / energy signal, or from the atmosphere, such as rain or snow. Coding artefacts, resolution limitations, transmission noise, object motion, camera shake, or a confluence of events could cause image degradation. With the intention of separating HF and LF objects, image decomposition is used to decompose the distorted image into a pattern layer (High Frequency Component) and a framework layer (Low Frequency Component).
Collection management for youth: equity, inclusion, and learning

"Collection management for youth: equity, inclusion, and learning." Journal of the Australian Library and Information Association, 70(2), pp. 223–224
Thermo-responsive photonic Josephson junction

Josephson junctions are the basis for many important fields, such as ultrafast electronics with magnetic flux quanta and superconducting quantum computing. The physical predictions of Josephson junctions are highly universal and can be observed in systems as diverse as coupled superconductors, atomic Bose-Einstein condensates, and others. We experimentally demonstrate tunable tunneling between two photon Bose-Einstein condensates by a targeted shaping of the potential landscape acting on the photons during the tunneling process. The investigated device realizes an optical analogue of a 0,π-Josephson junction, which can act as a building block for an ultrafast all-optical spin glass simulator. The potential landscape in our photon Bose-Einstein condensate Josephson junctions is realized by a combination of direct laser writing for permanent mirror nanostructuring, and heating a thermosensitive polymer for runtime fine tuning of couplings.
Enseñanza virtual durante la pandemia, un curso de Física elemental

espanolEl contexto de la pandemia mundial de COVID-19 ocasiono un cambio abrupto y repentino de la modalidad de trabajo y estudio en la mayoria de los paises. En particular, a nivel educativo fue necesario rapidamente pasar a una modalidad virtual para poder sostener la continuidad pedagogica. En este trabajo se exponen las estrategias utilizadas en tres comisiones de Introduccion a la Fisica de la Universidad Nacional de General Sarmiento. Para ello, se ofrecieron clases virtuales, tanto sincronicas como asincronicas, y todas ellas se subieron a YouTube para la utilizacion de los estudiantes. El uso de esta plataforma permitio tener un registro detallado de la actividad de los usuarios relacionada con estos videos, los cuales pudieron ser contrastados y comparados con los registros de asistencia de las actividades de evaluacion. La experiencia fue exitosa por la rapida adaptacion de contenidos, siendo bien recibida por los estudiantes logrando un grado de interaccion satisfactorio entre docentes y estudiantes y obteniendo resultados similares a los de la cursada presencial historica. EnglishThe context of the global COVID-19 pandemic caused an abrupt and sudden change in the modality of work and study in most countries. Specifically, at an educational level, it was necessary to quickly move to a virtual modality in order to sustain pedagogical continuity. In this work the strategies used in three commissions of Introduction to Physics of the National University of General Sarmiento are exposed. For this, virtual classes were held, both synchronous and asynchronous, and all of them were uploaded to YouTube for the use of the students. The use of this platform allowed to have a detailed record of activity of the users related to these videos, which could be contrasted and compared with the attendance records of the evaluation activities. The experience was successful due to the rapid adaptation of content, being well received by students, achieving a satisfactory degree of interaction between teachers and students and obtaining results similar with the historical face-to-face course.
HEMAT ENERGI DAN BAHAYA LISTRIK DI POSYANDULANCANG KUNING RT 04 RW 15 KECAMATAN TAMPAN

Electricity is one of the energy sources of human life today, almost everyone, every day for24 hours uses electricity as an energy source to help and facilitate daily activities. Actually, thepublic understands to always apply electricity-saving life in carrying out daily atifities, but so farthe public's understanding of electricity-saving activities is still limited to their goal of savingelectricity bill costs. and child. With a background of different parents and the age of childrenbetween 0-5 years is a period of brain development which is in a sensitive period where children inparticular are easy to accept and absorb various kinds of information and stimuli from theenvironment. This phase is the best time to teach and familiarize children to save electricity byinstilling good understanding and awareness, which they will continue to bring to their growth andlife in the future. The method of implementing science and technology activities for the communityincludes several methods, namely providing material about energy savings with socialization toparents and the dangers that will be caused. And parents will give this approach to their childrenin the home environmentKeywords— energy, electricity, electrical hazards
LibGuides: LibAnswers Training Guide for UL Employees: Actions you can take answer a ticket

This is a guide for how to use LibAnswers at the CMU University Libraries. The guide includes materials for learning about the system, and our policies for use.
SCIENCE CENTER INDEX

SCIENCE CENTER INDEX Index journals. It is aiming at rapid evaluation and Indexing of all local and international journals.SCIENCE CENTER INDEX provides following services with Frequency of 12-Indexing round per year:Evaluation and Indexing of journalsEstimation quality of journals based on comprehensive defined standards.journal panel for journal to monitor and control quality of their journals.
Improving the use of distance learning in higher education

The article is devoted to researching the problem and improving the use of distance learning in higher education. One of these challenges is the full introduction of distance learning opportunities in the educational process, the formation of its normative framework, including the development and implementation of a unified methodological approach to the full coverage of the process, its development and implementation opportunities related to.
KREATIVITAS DAN HASIL BELAJAR SISWA: DAMPAK STRATEGI PEMBELAJARAN MASTERY LEARNING DALAM PENGAJARAN BAHASA INDONESIA

Indonesian language teaching is a very important subject because in daily life students will always be related to their mother tongue. In order to understand the concept of language especially writing narrative essays well by students, the mastery learning strategies are needed. The purpose of this study was to explain the extent to which students' creativity and learning outcomes can be improved through this strategy when compared to conventional strategies. The research method was quantitative research with a quasi-experimental design. The research instrument used observation sheets and test writing narrative essays. The results showed that the mastery learning strategy was more effective compared to the conventional one in increasing students’ creativity and learning outcomes in the classroom.
Psychoacoustic phenomena in electric-guitar performance

Early prototypes of the electric guitar were created at about the time public address systems were invented in the 1930s, with the pure intention of making the instrument louder. However, it was not until the 1950s when artists like Link Wray, Chuck Berry, and Ike Turner used non-linear distortion as the first electronic effect to transform the electric guitar into a fundamentally new instrument. The effect adds higher harmonics and improves sustain, allowing for long notes and spectral presence. Several other effects and techniques followed (e.g., delay, chorus, flanger, phaser, tremolo, equalization, and compression), which were often used to blend the electric guitar into a band mix or to help it sonically stand out. Interestingly, the apparatus used for psychoacoustic research stems from the same electronic-circuit innovations that founded the electric guitar's electronic-effect industry. This presentation will focus on computational auditory scene analysis of variously effected guitar tracks embedded in a whole band mix to determine how these effects are used to make the guitar blend in (fusion) or stand out (transparency). To investigate this, model parameters related to loudness, masking, spaciousness, and modulation detection will be computed from audio tracks.
Estrategia pedagógica para la formación humanista en estudiantes de preuniversitario

The humanist education is the process that contributes to create awareness about the historical and cultural dimension of the individuals. It promotes the idea of social action assuming the humanism as a value. In such a sense, the present article has as objective to show the results of a scientific investigation, obtained by the authors with the implementation of a pedagogic strategy for the humanist formation in the high school students.