Reviewerly/exHarmony huggingface dataset:
Quantum communication through devices with indefinite input-output direction

Abstract Certain quantum devices, such as half-wave plates and quarter-wave plates in quantum optics, are bidirectional, meaning that the roles of their input and output ports can be exchanged. Bidirectional devices can be used in a forward mode and a backward mode, corresponding to two opposite choices of the input-output direction. They can also be used in a coherent superposition of the forward and backward modes, giving rise to new operations with indefinite input-output direction. In this work we explore the potential of input-output indefiniteness for the transfer of classical and quantum information through noisy channels. We first formulate a model of communication from a sender to a receiver via a noisy channel used in indefinite input-output direction. Then, we show that indefiniteness of the input-output direction yields advantages over standard communication protocols in which the given noisy channel is used in a fixed input-output direction. These advantages range from a general reduction of noise in bidirectional processes, to heralded noiseless transmission of quantum states, and, in some special cases, to a complete noise removal. The noise reduction due to input-output indefiniteness can be experimentally demonstrated with current photonic technologies, providing a way to investigate the operational consequences of exotic scenarios characterised by coherent quantum superpositions of forward-time and backward-time processes.
The Study of the Relationship of Individual Psychological Characteristics and Self-Expression Strategies in Interpersonal Relationships

Introduction. Competent self-expression determines success in planning and promoting the goals of a communicator focused on achieving results in different spheres of life. At the same time, preferred behavioural strategies and personality features are not always apprehended by a person and, consequently, not always used effectively. The urgency to study the problem is due to the insufficient representation of studies of behavioural strategies and individual psychological characteristics of subjects. Purpose. Study of the interrelationships of individual psychological characteristics and behavioural strategies of selfexpression of personality at different stages of professional formation and development. Materials and Methods. The following methodological tools were selected: the methodology for diagnosing the level of reflexivity, the questionnaire Style of Self-Regulation of the Behaviour ― SSB–98, the Test of Affiliation Motives, the Personality Orientation in Communication Test, the Self-Confidence Test, the questionnaire Volitional Qualities in person, the questionnaire Strategies of Self-Expression. Results. Girls prefer the strategy of ‘anxiety to please’ and ‘tracking the impression made’, boys prefer the ‘variability of behaviour’. Women are less likely to track the impression made on the interlocutor and, if necessary, they can dominate and manipulate. Men, in contrast, more closely monitor their behaviour peculiarities and do not tend to show dependence and weakness. Self-confident subjects are characterized by social courage and initiative and apply the ‘self-promotion’ strategy. Dialogical ― strive to be accepted by the target audience, take the initiative. They are not characterized by the strategy of ‘variability of behaviour’. Reflexive subjects are characterized by the use of dialogue and the use of the strategies ‘variability of behaviour’ and ‘self-promotion’. Discussion and Conclusion. It is assumed that the unoften use of the ʻimpression trackingʼ strategy by women is related to the action of the gender education mechanism. It is confirmed that at different stages of age and professional development, behavioural strategies are conditioned by individual psychological characteristics of the personality, which are in demand in the process of self-expression. The data obtained contribute to the theoretical substantiation of the problem and allow us to develop a model of the self-expression of a personality depending on its psychological characteristics.
Unraveling the Mechanisms of Income Inequality on Economic Growth in Ethiopia: Insights from Empirical Analysis

Abstract The aim of this research was to investigate how income inequality impacts the economic growth of Ethiopia by analyzing the various ways in which it influences economic growth. The study gathered an exclusive dataset from diverse secondary sources that ranged from 1981 to 2016. To examine the link between transmission channels, inequality of income, and growth, the study utilized a stepwise regression autoregressive distributed lag (ARDL) approach. The research concluded with four lines of reasoning, including political economy, innovation, fertility, and saving channels. According to the findings, inequality of income has a positive impact on innovative activities and total savings as measured by gross fixed capital formation, but it only has a negative and significant effect on economic growth through the channels of innovation and savings. While caution should be taken when generalizing the findings to other countries, this study offers valuable insights into the intricate link between income inequality and economic growth specifically in Ethiopia. The study recommends that policymakers implement targeted policies to address the different transmission channels through which income inequality affects economic growth, to comprehensively tackle this issue.
Multi-scale fusion-based expression recognition algorithm

In daily life, expression recognition is often used in medicine, transportation, education and other fields. In this paper, a multi-scale fusion face expression recognition algorithm based on VGGNet19 is proposed to address the problem of low recognition rate that occurs in existing convolutional neural networks for face expression recognition. The improved Xception network architecture is fused with VGGNet19 to improve the feature extraction capability. In addition, for VGGNet19, only one fully-connected layer is retained to reduce the number of parameters and improve computer efficiency, and a dropout strategy is introduced before the fully-connected layer to prevent overfitting, and finally the cross-entropy function is combined with Softmax for classification recognition. The final cross-entropy function was combined with Softmax for classification and finally obtained an accuracy of 89.83% on the RAF-DB dataset.
A Privacy-Preserving Scheme for Medical Diagnosis Records Based on Encrypted Image Steganography

Healthcare diagnosis records are essential as they establish perpetual reports on the health of patients. These records are in nature meant to be kept confidential. It is for this reason that medical data should be secured before transmission. Steganography and cryptography are old concepts used to secure communications. Steganography is hiding data into a carrier, for instance, images, videos, texts, and files. It seeks to hide the existence of communications. Cryptography is communication in deciphering secret writings or ciphers. In our privacy-preserving scheme for healthcare records, a hybrid approach is used to ensure the maximum multi-level security of medical records before transmission. The proposed system utilizes AES-128 which is a symmetric key encryption algorithm to scramble the data. As compared to asymmetric key encryption, symmetric key encryption is faster as only one key is used for both encryption and decryption. To resolve the problem of key distribution that plagues symmetric cryptosystems, the proposed system makes use of the Diffie-Hellman key exchange algorithm for key agreement. In this way, the encryption essentials are securely exchanged before the actual transmission of the date. To ensure efficient and optimal steganography throughput, the Least significant bit (LSB) which involves the hiding of information in the most repetitive bits of each pixel of an image was implemented for steganography. The technique was chosen because the level of distortion made to the image is low hence the image quality change is minimal. As such, the resultant robust system, is highly impeccable, utilises efficient compression, and has improved capacity which are all desirable features for securing medical health records.
Towards Election Forecasting Using Sentiment Analysis: The Zambia General Elections 2021

Forecasting of election results is one of the key activities prior to elections. In Zambia, like many other countries, opinion polls have been used to predict the outcome of elections since 1999. During the run up to the 2021 general elections, two opinion polls were conducted. One poll suggested that HH would emerge victorious whilst the other predicted that ECL would emerge victorious. Actual results announced on the 16th of August 2021 by the Electoral Commission of Zambia (ECZ) had HH obtaining 59.02% of the votes. The variance in the two opinion polls leaves room for alternative approaches to predicting election results. This study proposes sentiment analysis as part of the initial stage to building an alternative solution to predicting the outcome of an election. The study analysed sentiments shared on social media during the build up to the August 2021 general elections. A total of 3,519 tweets were scrapped from Twitter and sentiment analysis was performed on the tweets. Topic modeling was subsequently also performed on the tweets using BERTopic. The findings of the study reveal that as election day drew closer, there was an exponential increase in the number that were posted on a daily basis. Some of the topics included voter engagement and education, the shutdown of the internet and the election day.
Analisis Data Mining Menggunakan Metode Algoritma C4.5 Menentukan Penerima Bantuan Langsung Tunai

Bantuan Langsung Tunai (BLT) adalah bantuan yang dibuat oleh pemerintah untuk orang atau keluarga yang kurang mampu dan rentan akan kemiskinan dengan mereka yang memenuhi persyaratan yang ada pada program. Tujuan peneltian ini untuk memberikan masukkan tentang menentukan apakah keluarga tersebut masih berhak menerima atau tidak berhak menerima bantuan BLT, dimana masih ada keluarga yang berhak menerima dan memenuhi syarat dari program bantuan pemerintahan ini. Sumber data yang diperoleh dapat dari Kantor Desa Regei Lestari. Metode yang dipakai pada penelitian merupakan teknik data mining dengan algoritma C4.5 yang diterapkan pada software RapidMiner. Atribut yang dipakai untuk menentukan keluarga yang berhak menerima dan tidak berhak menerima pada program bantuan BLT yaitu Penghasilan, Status, Pekerjaan, Umur. Direct cash assistance (BLT) is assistance provided by the government for underprivileged and vulnerable people or families with those who meet the requirements of the program. The purpose of this research is to provide input on determining whether the family is still entitled to receive or not entitled to receive BLT assistance, where there are still families who are entitled to receive and meet the requirements of this government assistance program. The source of the data obtained can be from the Regei Lestari Village Office. The method used in this study is a data mining technique with the C4.5 algorithm applied to the RapidMiner software. The attributes used to determine families who are entitled to receive and who are not entitled to receive the BLT assistance program are Income, Status, Occupation, Age. The results of data classification using the C4.5 algorithm method and testing with RapidMiner are If Occupation = farmhand then the result is accepting with a value of 16 items from accepting and 0 not accepting, then the determining factor is obtained who is entitled to receive and who is not entitled to receive assistance direct cash (BLT).
Seberapa Efektifkah Booklet Materi Lapisan Atmosfer sebagai Peningkatan Hasil Belajar Geografi?

The learning process communication deficiency is caused by the tendency to use media that still needs to be more effective. Learning media, such as booklets, supports the achievement of learning objectives. Experimental research with a nonequivalent control group design aims to determine the effectiveness of booklets on geography learning outcomes. Learning media booklet material for atmospheric layers is effectively used to improve the learning outcomes of class X students at SMAN 1 Alalak. Using booklet media for atmospheric layer material is effective, while conventional books could be more effective. So, it can be concluded that using booklets effectively improves the learning outcomes of class X students at SMAN 1 Alalak, Barito Kuala Regency. The results of this study may have implications for the increasing variety of innovative learning media to support the learning process in schools, especially high schools, which require atmospheric material booklets.
Generating artificial digital image correlation data using physics-guided adversarial networks

Digital image correlation (DIC) has become a valuable tool to monitor and evaluate mechanical experiments of cracked specimen, but the automatic detection of cracks is often difficult due to inherent noise and artefacts. Machine learning models have been extremely successful in detecting crack paths and crack tips using DIC-measured, interpolated full-field displacements as input to a convolution-based segmentation model. Still, big data is needed to train such models. However, scientific data is often scarce as experiments are expensive and time-consuming. In this work, we present a method to directly generate large amounts of artificial displacement data of cracked specimen resembling real interpolated DIC displacements. The approach is based on generative adversarial networks (GANs). During training, the discriminator receives physical domain knowledge in the form of the derived von Mises equivalent strain. We show that this physics-guided approach leads to improved results in terms of visual quality of samples, sliced Wasserstein distance, and geometry score when compared to a classical unguided GAN approach.
Triumph in Corruption Irradiation Combat for a Dawn of Liberia

The problem of the increase of corruption is alarming in Liberia. Corruption has no small way contributed to increasingly levels of poverty and socio-economic inactivity in the country. This study aims to explore the causes of corruption and its effects on economic development in the country. The research contends that the causes of corruption are multi-dimensional fluctuating from poor leadership ability, lack of ethical standards, weak institutions, greed for wealth and position, greed for power, among others. The study pursues to discuss the efficiency of combating corruption by utilizing the ethical values of the societies such as; integrity, fairness, patriotism, and justice for all. Participants of this study were 250 from local organizations/intellectual forums with massive experience and understanding on the topic who purposely volunteered to get involved in questionnaires data collection, and out of them 15 were selected for interviews. The finding shows an inextricable issue of corruption with all relevant stakeholders playing their roles in order to achieve new Liberia. Stakeholders including government, family, religious bodies, international communities such as; African Union and Ecowas, and banks among others. The study recommend that corruption should be made a high risk and low benefit in order to discourage the act and free the collective resources for national transformation and development.
Nonlinear Effects of Corruption Control on Growth: A Threshold Model

This paper aims to analyze the nonlinear impact of control of corruption on economic growth in ASEAN countries -the emerging, frontier, and developping fastest-growing economies in Asia.The authors used a combination of threshold effects and system -GMM (Generalized Method of Moments) method for panel data in the period 2002 to 2019 to achieve reliable estimation results.The estimation results show that there is a threshold value of control of corruption of 48.08.This indicates that economic growth is impacted nonlinearly by control of corruption, and this impact is mainly positive in the regions before and after the threshold value.However, when control of corruption surpasses 48.08, the positive impact of control of corruption on economic growth decreases significantly.Accordingly, excessive control of corruption can reduce the effectiveness of economic growth in ASEAN countries.Therefore, ASEAN countries need to combine control of corruption with many other policies, especially policies on improving the effectiveness of resource allocation in the economy to boost economic growth sustainably.
Distribusi Pencemaran Sampah Plastik pada Sempadan Sungai di Bali yang Bermuara di Perairan Selat Bali dengan Analisis Generalized Additive Models (GAM)

&#x0D; &#x0D; &#x0D; &#x0D; Plastic waste in the oceans is a global problem which becomes a primary concern. The oceans become the final waste shelter that comes from land. Rivers essentially distribute plastic waste from the ground to the sea. Still, few studies currently examine waste distribution on riverbanks, especially rivers that discharge into the Bali Strait. This study aimed to determine the distribution of plastic waste along rivers in Bali Island that discharge into Bali Strait. Waste data was collected using the method developed by CSIRO (Commonwealth Scientific and Industrial Research Organisation). The data collected was used to generate prediction models with GAM to predict the distribution of plastic waste on riverbanks. The GAM method was chosen because it can accommodate non-linear influences; furthermore, GAM uses the smooth function to substitute details of parametric relationships on covariates so that it would give a good prediction. The distribution of plastic waste in 30 rivers was predicted. This research data showed that the most common waste found was a plastic waste at 90%, and non-plastic waste was found at 10%. Based on the prediction, most of the distribution of plastic waste along these 30 rivers had a relative concentration of plastic waste of about 0-20%. The highest concentration of plastic waste was found on the riverbanks of Selanbawak village, Pekutatan village, Pulukan village, Pendem village, and Tuwed village, with 80-100%. The riverbanks close to markets and tourism destinations and the number of populations with a strong relationship with smooth contributions caused relatively high plastic waste concentration. The prediction of the total plastic waste leakage at the riverbanks of the 30 rivers is 3,438,472 pieces, which this plastic waste will pollute Bali Strait.&#x0D; &#x0D; &#x0D; &#x0D;
ANALISIS KETERAMPILAN BAHASA PADA SISWA DALAM PEMBELAJARAN MATEMATIKA

Analysis of Language Skills in Students Mathematics Learning.&#x0D; This study aims to answer the results of the analysis of language skills in someone in the process of learning mathematics. The research method used in this research is a qualitative method. In the process of this research, researchers used descriptive data analysis. Data collection is done by observation and interviews. The data taken came from class III students at SD Negeri Pujon Kidul. The analysis of the data obtained was processed into three stages, namely data reduction, data presentation, and drawing conclusions from the data obtained. The research results obtained showed that the language skills of class III students at Pujon Kidul Public Elementary School in learning mathematics. Based on this research language skills acquired include 58% listening ability, 70% speaking ability, 82% reading ability, and 72% writing ability. The relationship between language and mathematics is needed for mathematical communication. So learning mathematics can be easier if you have good language skills. When improving language skills, it is necessary to apply the image method as a supporting tool in teaching and learning activities to improve the quality of language skills in students.
Librarians’ Awareness and Attitude Towards Deployment of Cloud Computing Technologies in University Libraries in South-South Nigeria

This study investigated Librarian’s awareness of, and attitude towards deployment of cloud computing technologies in university libraries in South-South Nigeria. The study employed the descriptive survey research design with the study population of 246 Librarians in South-South Nigeria. The 246 librarians were enumerated with a response rate of 190 (77%). The instrument for the collection of data was the questionnaire titled “Librarians Awareness of, and Attitude towards Deployment of Cloud Computing Technologies Questionnaire” (LAATDCCTQ). The data was analyzed using mean and standard deviation. The result revealed that, librarians in university libraries in South-South Nigeria have low level of awareness of cloud computing technology. Librarians attitude towards deployment of cloud computing technologies in university libraries in South-South Nigeria is high respectively. The study recommended that librarians should organize workshops on the awareness of cloud computing technology in application to library services for library professionals. Also, sufficient funding, training and re-training of librarians should be made available by the appropriate authorities’ development and application of technology services in university libraries.
Redesigning Library’s Website with SpringShare Products

This article chronicles the website redesign process of a medium-sized academic library using Springshare products, namely LibGuides CMS, LibAnswers, LibCal, and LibWizard, at Stockton University in New Jersey. The project was completed in such a short timeframe and with limited resources that the focus was placed on reconstructing the information architecture (IA) in order to establish the navigation system of the website. The topics of the rationale for the redesign, detailed procedures, lessons learned, and suggestions for future improvement are discussed.
Research Trends of Picture Books for Older Adults over 65 in South Korea

The goal of this study is to analyze trends of picture book research for older adults over 65 during last 15 years (2005-2019) to foresee research direction in the future. Forty-three domestic studies using picture books for older adults over 65 were selected from RISS with four types of academic data including academic journal articles, masters’ and doctoral dissertations, books, and financially funded public research reports. Picture book research of older adults over 65 steadily increased with a sharp upward slope toward the 3rd term (2013-2015) reflecting the aging society of South. Korea. Research subjects were mostly focused on older adults as characters/real people in books, illiterate, and dementia as well. Psycho-emotional therapy, self-related ingredients such as self-growth, -integration, -identity, -esteem, -confidence, and young children’s understanding of older adults Diverse research methods were used with literature reviews the most. The research frequency of academic fields are in the order of, education (especially early childhood &amp; special ED), counselling and psychotherapy, and social science. More research for older adults over 65 are needed to improve their better life and easier adaptation to aging Korea through publications, psycho-emotional support systems, and publicly financed network and research reports for practical advocacy.