Reviewerly/exHarmony huggingface dataset:
The Impact of Public Sector Lending on Financial Stability in Central Africa

Investments by the private and public sectors have formed the basis for economic growth in developing economies. The creation of goods and services for consumption hinges on the ability of market actors to lend from financial institutions. The process of credit creation is, therefore, central to economic activity, output, employment, productivity, and wage growth. Nevertheless, it is not clear that crowding out of investment occurs via lending to state entities, whose ability to repay credit is contingent on oil prices and domestic economic activity. This paper finds that the impact of the public sector on per capita GDP is weaker (1.6%), while the impact of private credit is significantly larger (2.6%). Greater linkages between commercial banks and the public sector increase financial stability risks as weaker oil prices affect the ability of the public sector to repay its loans to Cameroon’s commercial banks. In other to bolster financial stability, commercial banks should make targeted investments in high-growth and scalable sectors that will reduce the uncertainty on their profits stemming from uncertain oil prices and late repayments by state-owned entities. Not only will a climate-centric and diversified portfolio insulate bank profits over the medium-long run, they will also reduce the exposure of their asset and liquidity positions to uncertain commodity prices.
Algoritma K-Means Clustering dalam Optimalisasi Komposisi Pakan Ternak Ayam Petelur

In Indonesia, the laying hens business sector experiences many obstacles, farmers often face instability between the price of chicken eggs and the price of feed which tends to always increase. The income received by farmers is not proportional to the cost of feed incurred. The production cost of laying hens can be reduced if there is an increase in feed efficiency. Maintenance of laying hens lies in the provision of feed, water, physical conditions and the state of the cage. Feed is the main source of energy for laying hens. The problem of feed in laying hens must meet the quality and quantity of the feed itself so that the effect is very real and clear on egg production. Feed nutrition must also meet the needs of laying hens. Feeding laying hens without paying attention to the quality of the feed can result in the growth and productivity of chickens being not optimal. Combining feed is an effort that can be made to produce a quality feed composition. This research was conducted to compile the composition of laying hens' feed using the K-Means Clustering algorithm. The K-Means Clustering method is an algorithm used by researchers to group or cluster data on laying hens feed into several clusters by using the nutritional content of each feed as an attribute. In this study, the data analyzed was data on the nutritional content of laying hens feed consisting of attributes such as protein, fat, crude fiber, calcium and phosphorus. This study will produce 3 clusters of feed types consisting of highly optimal clusters, optimal clusters and less than optimal clusters. This research is expected to be used as a recommendation by laying hens in compiling the composition of laying hens to maintain the quality of the eggs produced.
Simalungun Batak Language Causative Construction

The causative construction of the Simalungun language can be produced by combining clauses with cause / baen conjunctions, the use of causative analytic with permanent verbs, all; morphological causative use with (–kon) affixes; and the selection of certain lexical causative verbs that have causative meaning. The method used is the marking method applied in analyzing research data based on the problems discussed in this article. This causative construction of Simalungun Batak language can be explained through morphosyntax parameters.
Optimalisasi Top Down Network Design terhadap Peningkatan Pemberdayaan Pelayanan dalam Menggunaan Mikrotik

The background of this research is about computer network services to students of the Faculty of Social and Political Sciences (FISIP) at Musi Rawas University, Lubuklinggau. The computer network used in FISIP is very slow, and sometimes it doesn't work well. The purpose of this study is to apply the empowerment of network services using Top Down Network Design in optimizing the use of Mikrotik routers for network connection services. The data processed in this study by conducting a field survey at FISIP Lubuklinggau City. The stages of the process start from observing the mechanism and analyzing QoS (Quality of Service). The method applied to optimize the network to improve service empowerment in the use of the Mikrotik network is Top Down Network Design. This method focuses on the application layer, so that it can be estimated the characteristics of the network to be designed and those that already exist before determining the device to be used. This research stage uses network development using the Top Down Network Design method, which consists of problem analysis, logical network design, physical network design, testing, optimization, and network design documentation. The results of data collection and calculation resulted in very good network conditions. There is one condition where when face-to-face lectures are still being conducted, the network conditions are not very good because of the density of data lines.
Percepciones de una comunidad educativa de formación de docentes sobre los efectos de la pandemia

The work addresses the effects of the COVID-19 pandemic on an educational institution for teacher training in Uruguay. It focuses on analyzing the sanitary isolation measures, consisting of the closure of the educational center and the implementation of administrative and academic activities totally at a distance: what was its impact on the educational community and on learning? The methodology is quantitative, although it incorporates the interpretive analysis of a part of the data. A survey was carried out to the entire community, with 13 multiple-choice questions and a final open-response question. Forty six percent of responses were obtained. The results indicate that in the absence of the closure, more than 50 infections could have occurred in the center. The community perceives distance education as a good remedial element; although learning continues to occur and skills continue to develop, a decrease in educational quality is perceived. One of the highlights is the need for a greater time commitment to sustain the work overload caused by the double agenda. The management teams must ensure that dialogue, communication and coordination are sustained in the community, and contribute to the visibility of the tasks. The communities had already been working partially remotely. Seen this way, the passage to distance education was not a shock but a readjustment. However, as could be seen, this rearrangement was differentially traumatic for some than for others.
Advance Sharing of Quantum Shares for Classical Secrets

Secret sharing schemes for classical secrets can be classified into classical secret sharing schemes and quantum secret sharing schemes. Classical secret sharing has been known to be able to distribute some shares before a given secret. On the other hand, quantum mechanics extends the capabilities of secret sharing beyond those of classical secret sharing. We propose quantum secret sharing with the capabilities in designing of access structures more flexibly and realizing higher efficiency beyond those of classical secret sharing, that can distribute some shares before a given secret.
Unboxing the Clinical Health Technology Deployment

Recent years have seen numerous clinical deployments of digital technologies in support of new practices of healthcare. Mobile devices in particular offer many advantages in regard to their deployment for the purposes of shaping care. Yet, these systems and their implications for practice are not predetermined but crafted, often in unforeseen ways, by design. Amidst growing knowledge of complex clinical contexts, human–computer interaction researchers have come to understand the need to approach design as participatory, iterative process grounded in research, and informed by the experiences of stakeholders broadly defined. In this article we build upon prior efforts to support care, by making the case for a recentering of the artefacts we perceive as “designed,” “designable,” and “design-worthy” in the creation and implementation of the digital health intervention. In doing so, we draw on the example of a mobile health technology platform to support mental healthcare through Danish primary care.
Optimized Sequence Dataset Generation for a Two-Stage Pipelined Microcontroller Instruction-Level Electromagnetic Information Leakage Analysis

With the prevalence of the Internet of Things (IoT) and microcontrollers (MCUs), the security issues of IoT and MCUs have become increasingly important. Side-channel analysis (SCA) is a major threat to such problems. One of the non-invasive SCAs is through electromagnetic information leakage (EM-leak) analysis. The author has developed a machine-instruction-level EM-leak analysis by neural network (NN) model. The NN model analysis need a large dataset for training and validation. And the dataset should be complete and sufficient. The dataset sufficiency can be achieved by acquiring more data from the already proposed EM-leak measurement platform. However, the completeness issue becomes a challenge due to the pipelined architecture in the target MCU. In this paper, the completeness issue of a NN model dataset for the EM-leak analysis is addressed. The issue is to be solved in several steps. First, it is simplified to a two-stage pipelined MCU individual EM-leak analysis sequence problem (2-EMAseq). The problem is then proved that at least one optimal solution exists. And an algorithm is proposed based on the proof to find an optimal solution (a complete EM-leak NN dataset). Experiments show that the proposed algorithm can find an optimal solution. The contributions of this paper include: it successfully reduces a real problem to a 2-EMAseq description, proves that the 2-EMAseq problem has at least one optimal solution, uses this proof to develop an algorithm, and uses this algorithm to find a complete dataset is the target two-stage pipelined MCU dataset for NN model training/validation. Currently, the algorithm can only generate the optimal EM-dataset for two-stage pipelined MCUs. However, there are many MCUs with 4~8 pipeline stages. Whether there is an optimal solution when the stages are more than two is still an open question. And it needs to find proofs or derive heuristics in the future for such MCUs.
Communication Obfuscation for Privacy and Utility against Obfuscation-Aware Eavesdroppers

Networked cyber-physical systems must balance the utility of communication for monitoring and control with the risks of revealing private information. Many of these networks, such as wireless communication, are vulnerable to eavesdrop-ping by illegitimate recipients. Obfuscation can hide information from eaves-droppers by ensuring their observations are ambiguous or misleading. At the same time, coordination with recipients can enable them to interpret obfuscated data. In this way, we propose an obfuscation framework for dynamic systems that ensures privacy against eavesdroppers while maintaining utility for legitimate recipients. We consider eavesdroppers unaware of obfuscation by requiring that their observations are consistent with the original system, as well as eaves-droppers aware of the goals of obfuscation by assuming they learn of the specific obfuscation implementation used. We present a method for bounded synthesis of solutions based upon distributed reactive synthesis and the synthesis of publicly-known obfuscators.
Teacher's Readiness to Implement Digital Assessment Activities

The Covid 19 pandemic strongly impacted every aspect of life, including education. With technology support, Courses gradually shift to online or blended learning forms, including teaching and assessment activities. The current situation creates challenges for teachers and pedagogical students. Using the systematic review method, the article proposes a framework to evaluate the readiness of teachers to perform assessment activities in the digital context. Four factors are mentioned, including: i) Understanding of digital assessment; ii) Confidence in performing digital assessment skills; iii) Feeling in the digital assessment experience; and iv) Belief in the effectiveness of the digital assessment. Research on the components of digital assessment readiness contributes a basis for further studies on developing the tools to assess the readiness to use the digital assessment platforms for teachers and pedagogical students.
Two new classes of Hermitian self-orthogonal non-GRS MDS codes and their applications

<p style='text-indent:20px;'>Hermitian self-orthogonal codes form an essential ingredient in the construction of quantum stabilizer codes. In this paper, we present two new classes of Hermitian self-orthogonal MDS codes from twisted generalized Reed-Solomon codes. The constructed codes are monomially inequivalent to generalized Reed-Solomon codes. Two new classes of Hermitian LCD MDS codes can then be derived. Finally, based on the constructed Hermitian self-orthogonal MDS codes, we present two classes of quantum MDS codes with new parameters.
Some new quantum MDS codes derived from generalized Reed-Solomon codes

<p style='text-indent:20px;'>Quantum maximum-distance-separable (MDS) codes are very important in coding theory. In this paper, we construct three classes of new quantum MDS codes with large minimum distance by classical Hermitian self-orthogonal generalized Reed-Solomon codes. Furthermore, these quantum MDS codes have more flexible lengths and larger minimum distance than those of some known quantum MDS codes.
The State of the Union: Union-Only Signatures for Data Aggregation

A union-only signature (UOS) scheme (informally introduced by Johnson et al. at CT-RSA 2002) allows signers to sign sets of messages in such a way that (1) any third party can merge two signatures to derive a signature on the union of the message sets, and (2) no adversary, given a signature on some set, can derive a valid signature on any strict subset of that set (unless it has seen such a signature already). Johnson et al. originally posed building a UOS as an open problem. In this paper, we make two contributions: we give the first formal definition of a UOS scheme, and we give the first UOS constructions. Our main construction uses hashing, regular digital signatures, Pedersen commitments and signatures of knowledge. We provide an implementation that demonstrates its practicality. Our main construction also relies on the hardness of the short integer solution (SIS) problem; we show how that this assumption can be replaced with the use of groups of unknown order. Finally, we sketch a UOS construction using SNARKs; this additionally gives the property that the size of the signature does not grow with the number of merges. (A full version of this paper, with all proofs and preliminaries, is available on the ePrint Archive).
A Study on Japanese Settlers’ Experiences and Memories of Colonial Korea

July 2020 this research team has been conducting joint research with support from the National Research Foundation of Korea, and is now in its second year of work. The team is composed of researchers from the fields of modern and contemporary Japanese history, modern and contemporary Korean history, modern Japanese literature, and Japanese political science, and as a result it is ideally positioned to engage in multidisciplinary research. In relation to Korea-Japan relations such research is vital, because after the Second World War Japanese society pursued the goals of forming both a ‘cultural state’ and a ‘peace state’ as a result of criticism of prewar militarism. These tendencies began to exert influence on the practical politics of the period from 1945 to the 1960s, when the study of Japanese and other colonialism began in earnest. The protagonists who investigated the issues of the responsibility for the war and of colonial rule were intellectuals and cultural figures who filled the void in the study of colonial history in the 1950s.research team is focused on making an academic and social contribution that can help to transcend the historical conflicts in Korea-Japan relations and the historical absence of a regime of peace in East Asia. It does so by examining the various circuits of colonial experience and memory which came to the fore in Japanese society after the defeat in the World War 2 and the return of the Japanese settlers to Korea.
A Study of Akutagawa Ryunosuke’s “Spring Nights”：The Ways in which the Mystery is Understood

Akutagawa Ryunosuke’s later story “Spring Nights” (“Bungei Shunju”), published in September 1926, is a work that has not been much discussed. During his stay in his wife’s parents’ house in Kugenuma in 1926, from June 8&lt;sup&gt;th&lt;/sup&gt; to the end of the month, he received the said material from the nurse who accompanied him. In previous interpretative studies of this work, it has been perceived that the theme of the “Shadow of Death” represents creeping melancholy. However, the main focus of this work is the “strangeness” of the experience which Ms. N talked about. In other words, it seems that the author’s aim was to create a mystery that could not be interpreted on the basis of knowledge of natural science. Therefore, in this light, I would like to attempt a new reading of “Spring Nights” in this article.
Attack Graph Design and Target Priority based on Attacker Capabilities and Network Vulnerabilities

The Common Vulnerability Scoring System (CVSS) is widely misused 1 for vulnerability prioritization and risk assessment, despite being designed to measure technical severity.Furthermore, the CVSS scoring algorithm is not justified, either formally or empirically.Misuse of CVSS as a risk score means you are not likely learning what you thought you were learning from it, while the formula design flaw means that the output is unreliable regardless.Therefore, CVSS is inadequate.We lay out a way towards understanding what a functional vulnerability prioritization system would look like.Misuse of CVSS appears to be widespread, but should be empirically studied.We are unaware of any systematic accounting of who uses or misuses CVSS.In some cases misuse of CVSS Base scores as direct vulnerability prioritization may be policy, for example in the U.S. government 2 and the global payment card industry. 3 We have observed many other organizations with similarly naïve vulnerability prioritization policies.Although some organizations consider CVSS carefully as one of multiple inputs to prioritization, our hypothesis based on the available evidence is that misuse is widespread. Lack of justification for the CVSS formulaThe CVSS v3.0 formula is not properly justified.This failing is related to traditional levels of scientific measurement: nominal, ordinal, interval, and ratio. 4 What mathematical operations are justified vary per measurement type.An ordinal measurement such as the common Likert scale of [completely agree, agree, disagree, completely disagree] has ordering but no distance between items.Addition, multiplication, and division are not defined between ordinal data items.For example, "fastest + fastest" does not make sense, whether we label "fastest" as "1" or not.Which statistical tests and regression are justified ____________________________________________________________________________ 1 "Misuse" in this document means against the advice of the CVSS-SIG, which specifies, for example, "CVSS provides a way to capture the principal characteristics of a vulnerability … reflecting its severity ... to help organizations properly assess and prioritize their vulnerability management processes."See https://www.first.org/cvss/. 2
IDENTIFIKASI HEWAN BERDASARKAN POLA AKUSTIK DENGAN PRINSIP EKSTRAKSI WAVELET DAN KLASIFIKASI MULTI-LABEL JARINGAN SYARAF TIRUAN

An acoustic identification and classification system of frogs has been designed based on the principle of wavelet extraction and label classification using an artificial neural network (ANN). This system consists of electronic detection for frog audio as well as an interface using the MATLAB 2018b software as an ANN provider device. As input for the neural network, 5 types of frogs were used, namely the rock frog (Limnonectes macrodon), the blentung frog (Kaloula baleata), the hip frog (Limnonectesblythii), the rice field frog (Fejervarya cancrivora), and the trench frog. frog. frog (Fejervarya limnocharis). ), each with 12 sound samples. Before being inserted into the neural network, 3 levels of sound samples were extracted and denoised using wavelet symlet 3. Furthermore, in the neural network training process, 3 validation samples and 3 test samples were used. After training, the artificial neural network was able to identify the type of frog being tested.
Identifikasi Tingkat Penjualan Produk Herbal HWI Menggunakan Algoritma C4.5

Herbal stokist HWI Benai has several products that are most in demand by customers, including Vinmory, Habaolive Honey, Slimming Juice etc. However, HWI Benai's great stokist often runs out of stock of these best selling products due to the absence of reguler bookkepping, so customers turn to stockists who have more product. This study aims to make it easier for HWI herbal stockists in Benai to supply more goods based on the products that are most in demand by customers. The data needed is based on variables including product name, product item, unit qty, total, price and subtotal. From this data, Unit wty, total, price and subtotal. From this data, it will help in the processof knowing which products are most in demand based on the accuracy values obtained using the RapidMiner software. The method of the method using a decision tree. The result of the study obtained variables that affect the results in determining the best selling product including the number of orders, product types, purchasing status and customer status. From some if these variables can determine the highest accuracy value and produce a decision tree. The conclusion of this study is that the best method in determining the level of best selling sales is one of them using the C4.5 Algorithm. The C4.5 algorithm is an algorithm in form of a classification in the form of rules thath change the results of complex decision to be simpler and easier to understand
PREDIKSI CURAH HUJAN DAN KELEMBABAN UDARA KOTA PEKANBARU MENGGUNAKAN METODE MONTE CARLO

Weather prediction is important in our lives and can minimize the impact that will occur in the future. Rainfaal and humidity greatly affect the weather conditions in Indonesia. Accuracy in the prediction of rainfall and humidity is very important because it can be used in various interests. The data used are the monthly average data of rainfall and humidity in the city of Pekanbaru in 2014–2018 obtained from BMKG Pekanbaru, then the monthly average data will be processed using a MATLAB R2015a based program so that an average rainfall prediction simulation is obtained and air humidity in 2019–2023. MATLAB R2015a based program using the monte carlo method and has error value 0.0887913.
Demonstration of the Distinguished Teacher Studio Leads the Exploration and Practice of Teachers’ Teaching Innovation Team

The work of the distinguished teacher studio is based on activities and has the characteristics of learning, demonstration, and academic. The “double-qualified” distinguished teacher studio is an important way to help the development of vocational education teachers and cultivate outstanding “double-qualified” teachers. It is also an important carrier to improve teachers’ teaching, practice, and scientific research ability, to promote the “three education reform” of vocational education, and to train high-quality technical personnel.