Reviewerly/exHarmony huggingface dataset:
A Method for Securely Comparing Integers using Binary Trees

In this paper, we propose a new protocol for secure integer comparison which consists of parties having each a private integer. The goal of the computation is to compare both integers securely and reveal to the parties a single bit that tells which integer is larger. Nothing more should be revealed. To achieve a low communication overhead, this can be done by using homomorphic encryption (HE). Our protocol relies on binary decision trees that is a special case of branching programs and can be implemented using HE. We assume a client-server setting where each party holds one of the integers, the client also holds the private key of a homomorphic encryption scheme and the evaluation is done by the server. In this setting, our protocol outperforms the original DGK protocol of Damgård et al. and reduces the running time by at least 45%. In the case where both inputs are encrypted, our scheme reduces the running time of a variant of DGK by 63%.
Pengembangan Bahan Ajar Berbasis Komik pada Pembelajaran Parafrasa Teks Hikayat menjadi Cerpen Siswa Kelas X SMAN 10 Samarinda

This study aims to determine (1) the design of comic-based teaching materials; (2) the feasibility of comic-based teaching materials; and (3) the effectiveness of comic-based teaching materials. The scope of this development is limited only to planning, materials, and evaluation in the learning process. The method used in this development research is the R&amp;D (Research and Development) research and development method, which is a type of method used to produce certain products and test the effectiveness of these products. This R&amp;D method uses the Brog and Gall development research design adapted by Sugiyono. The data collection technique used a questionnaire in the form of a questionnaire and a test of the ability to paraphrase the hikayat text into a short story. After the final trial, students' learning completeness in learning to paraphrase the text of a hikayat into a short story was 88.23%. The developed teaching materials were declared very feasible through material expert tests (91.66%), media/design experts stated that they were very feasible (88.88%), and educational practitioners stated that they were very feasible (87.5%). Therefore, comic teaching material in learning to paraphrase hikayat text into short stories can be used as a supporting source in the learning process.
Analisis Butir Soal pada Instrumen Asesmen Kompetensi Minimum Literasi Membaca di SMP IT Insan Utama Pekanbaru

Minimum Competency Assessment (AKM) assesses fundamental skills required for all students to help them improve their skills and participate actively in society. The AKM aims to identify assessment data or reports on students' understanding of the material. The AKM is very important for teachers because it provides an objective measure of learning performance, and for students, the results of this assessment indicate their level of learning achievement. This study aims to describe the results of the analysis of the AKM reading literacy items at SMP IT Insan Utama Pekanbaru. The research method used is a descriptive qualitative method with content analysis. Based on the study's results, the percentage results of the difficulty level analysis of the guiding items were that 70% of the questions were categorized as difficult, 25% were moderate, and 5% were easy. It means that too many questions are difficult. The results of the calculation of differentiating power show that 40% of the questions are very good, 20% are good, 10% are sufficient, and 30% are bad. The analysis of the effectiveness of the checkers shows that 5% of the questions are very good, 15% good, 10% not good enough, 20% bad, 15% very bad.
Text Criticism in Mojwukjirangga and Mayngadukanga: Focusing on Missing Letters and Superfluous Letters

This study attempted to solve the two problems of Text criticism in Mojwukjirangka and Mayngadukanka. One is the problem to find missing letter and superfluous letter. The other is the problem to discover the cause that missing letter and superfluous letter are occurred and are linked together. The first problem could be solved by finding missing letter and superfluous letter through the consideration of Hyangchal’s principle, grammar and context in text of Mojwukjirangka and Mayngadukanka. Meanwhile, I attempted to solve the second problem in accordance with two step’s arguments. One is that preceding transcriber add missing letters(伊, 尸, 古) between lines in order to complement missing letters(伊 in 數就音伊, 尸 in 作乎尸下是 and 古 in 放古) in transcription. The other argument is that posterior transcriber misunderstand the location that preceding transcriber add between lines, as the wrong location of missing letters. Because this misunderstanding, missing letters(伊 in 數就音伊, 尸 in 作乎尸 下是 and 古 in 放古) and superfluous letters(伊 in 史伊衣, 尸 in 廻於尸七, 古 in 隱賜以古只) are happened and are linked together.
Camshift Algorithm with GOA-Neural Network for Drone Object Tracking

Detecting objects in scenes filmed by drones is a trendy new activity.Since drones are constantly changing altitude, the magnitude of the objects they encounter wildly fluctuates, making it difficult to optimise networks.However, because of the complexity of the environment, such tracking approaches cannot be functional for real-world issues.For instance, the tracking system has a hard time locating people of interest when there are several of them in close proximity to one another.Another major factor in the system's inability to detect individuals is the prevalence of backgrounds of a similar hue.In order to do this, this study suggests using a Camshift method in tandem with an optimal-based neural network.When compared to methods that rely on conventional tracking algorithms, this one is both more cost-effective and flexible in different settings.This model makes adjustments to the Yolo neural network, the Camshift algorithm, and other previously merged components.The issues with occlusion, lighting, scale, and noise in the Camshift algorithm are addressed.We conducted our tests using two publicly available datasets: VisDrone and AU-AIR.Experiments using the VisDrone and AU-AIR datasets demonstrate the suggested method's ability to dramatically enhance classification accuracy.
Does the Authorized Textbook System Guarantee Diversity in Writing and Selection?: Focusing on the Experience to Write and Select Elementary School Social Studies Textbook Based on the 2015 Revised Curriculum

본 연구는 검정교과서 집필에 참여한 교사들과 선정에 참여한 교사들의 경험을 통해 한국의 검정교과서 개발 체제의 특징을 드러내고자 하였다. 이를 위해 해당되는 교사들을 인터뷰하고 이를 질적으로 분석하였다. 교과서 집필진들은 내용과 관련한 논쟁이 없어야 한다는 부담, 검정 통과의 부담, 교과서가 많이 선택받아야 한다는 부담, 공동 집필진의 합의에 따라야 한다는 부담으로 인한 교과서 동일성 기제와 학습활동 및 읽기 자료, 교과서 디자인과 관련한 다양성 기제를 겪으며 교과서를 개발하였다. 하지만 동일성 기제가 더 큰 힘을 발휘하여 교사들은 국정교과서와 큰 차이가 없으며 내용이 서로 유사한 교과서 중에서 교과서를 선택하게 된다. 내용상의 차이가 없기 때문에 교사들은 검정교과서 확대 정책을 오해하거나, 디자인 등 외형적 요소에 주목하며 교과서를 선정하거나, 다른 학교와 유사한 교과서를 선택하거나, 학습보조사이트를 보고 교과서를 선택하는 모습을 보였다. 이는 검정기준을 보수적으로 해석하게 하는 검정 제도, 국가가 교실에서 가르치는 내용을 규제하려는 관성의 발휘, 빠른 수업 준비가 가능한 교과서를 선호하는 교사가 형성한 한국의 교과서 개발 체제를 드러내었다. 교육과정 운영의 다양화를 추구한 정책의 본래 목표 실현을 위해서는 다양한 교과서의 개발이 우선적으로 추구될 필요가 있다.This study tries to reveal the characteristics of the authorized textbook development system in Korea through the experiences of the teachers participating in the writing of the textbook and in its selection. For the data, the relevant teachers were interviewed and the contents were qualitatively analyzed. Textbook writers are burdened by the worries about content-related disputes, passing of authorization process, having many textbook selections, and following the consensus of the co-authors. And the textbooks are diversified by the complementary materials and unique formats. Since the sameness mechanism exerts more, teachers face similar textbooks among which they have to choose. Seeing this situation, teachers misunderstand the policy of expanding the authorized textbooks, select textbooks paying attention to external factors such as design, monopolizing textbook, and publisher websites. This revealed Korea’s authorized textbook development system formed by a conservative interpretation of the authorization criteria, the government’s inertia to regulate what is taught in the classroom, and teachers who prefer textbooks approving rapid preparation of lessons. In order to realize the original goal of the policy, diversification of textbook development needs to be ensured first.
Feature Selection Ordered By Correlation - FSOC

Data sets have increased in volume and features, yielding longer times for classification and training. Many features usually mean that not all of them are highly correlated with the target class, and that significant correlation may exist between certain pairs of features. The proper reduction of “useless” features saves time and effort at data collection, assures faster learning and classification times, with little or no reduction in classification accuracy. However, algorithms for selecting adequate features have high levels of processing. FSOC achieves this reduction by selecting a subset of the original features. To refrain from reformatting, transforming and combining existing features it is necessary to create a new set with lower cardinality, since the artificially created features mask the relevance of the original for decision making, and causes clarity loss in the built model.This article presents a new filter type method, called FSOC (Feature Selection Ordered by Correlation), to select, with small computational cost, relevant features. FSOC uses correlations between features and the merit heuristic to identify a subset of "good" features. FSOC's reduced computational cost arises from an ordering of the features. To test it, a statistical analysis was performed on a sample comprising 36 data sets from several repositories some with millions of objects. The classification percentages (efficiency) of FSOC were similar to other feature selection features. Nevertheless, FSOC was up to 42 times faster than other algorithms (CFS, FCFB and ECMBF) to obtain the selected features.
Automatic Recognition of Leukemia AML Using Evolutionary Vision

In this work, an evolutionary vision approach is used for the automatic recognition of AML leukemia images. Unlike common approaches using convolutional neural networks, in the presented model the feature extraction process is transparent. Moreover, the structure of the obtained solutions is amenable to interpretation by a human user, which is a significant advantage over automatic recognition approaches based on deep neural networks. Experimental results show that the evolutionary vision approach can obtain satisfactory results on the AML leukemia recognition problem.
Perceived Attitude of Youth Towards Cryptocurrency Investment: A Case Study for India

The role of youth in investment is huge when we compare that to the old generation and their perceived attitudes about cryptocurrency investment is getting increased these days in India.This study's primary goal was to assess people's attitudes among young people regarding cryptocurrency awareness and investment.Most of the youth have not yet purchased bitcoin, were just familiar with cryptocurrencies, and lack a comprehensive overview of potential risks.The study's data was gathered from primary and secondary sources of data.The fundamental information obtained by a questionnaire sent to more than 200 active and passive investors.The secondary sources of data used for the completion of this assignment include journals, magazines, internet websites, textbooks, and a review of literature.Several hypotheses were generated and evaluated with the intention of providing youths with useful suggestions.
The Comparative Study of Deep Learning Neural Network Approaches for Breast Cancer Diagnosis

Breast cancer is one of the life threatening cancer that leads to the most death due to cancer among the women. Early diagnosis might help to reduce mortality. Thus, this research aims to study on different approaches of the deep learning neural network model for breast cancer early detection for better prognosis. The performance of deep learning approaches such as Artificial Neural Network (ANN), Recurrent Neural Network (RNN) and Convolution Neural Network (CNN) are evaluated using the dataset from the University of Wisconsin. The findings show ANN achieved high accuracy of 99.9 % compared to others in detecting breast cancer. ANN is able to deliver better results with the provided dataset. However, more improvement needed for better performance to ensure that the approach used is reliable enough for breast cancer early diagnosis.
Understand the intersection of disability harassment and free speech

Disability harassment is a common problem on campus. However, colleges and universities sometimes have difficulty identifying and addressing such harassment, especially when it involves speech.
Peningkatan Kemampuan Menganalisis Unsur Pembangun Puisi melalui Model Problem Based Learning (PBL) Siswa Kelas X SMK Negeri 1 Palembang

: This study aims to determine the results of improving the quality of the learning process in the ability to analyze the building blocks of poetry through the problem-based learning model of students for students of SMKN 1 Palembang. To achieve this goal, a class action research was conducted in 2 cycles. The results of the research can be seen from the observation of the learning process in cycle II which shows an increase from cycle I. In cycle II students are more participatory in discussions and when advancing to read poetry and provide feedback from friends who read poetry. Overall, students can take part in learning actively, comfortably and seriously. In addition, teachers have also implemented guidelines for implementing learning to write poetry by applying the Problem Based Learning (PBL) model better. The results of observing the learning process show that the results of the implementation of learning analyze the building blocks of poetry by applying the Problem Based Learning (PBL) model by fulfilling the indicators of the success of the process in this study. In addition, the results of the poetry writing test on the initial average value or pre-cycle, cycle I, and cycle II increased from 48 in the pre-cycle, to 62 in cycle I, and increased significantly to 83 in cycle II. Meanwhile, the percentage of students who met the minimum completeness criteria increased from 15% in the pre-cycle to 56% in cycle I, and increased significantly in cycle II to 91%.
Perbandingan Prestasi Belajar Siswa di SMAN 4 Kota Jambi dan SMAN 3 Muaro Jambi

Learning achievement is a measure of the success or failure of an educational process. Learning achievement can also be interpreted as something that is produced or the result of an activity that is done, created both individually and in groups. Student achievement is influenced by internal factors and external factors. Learning achievement of students can be measured from the results that have been achieved by students both from internal and external factors because the evaluation results can reflect the ability of students to master the material that has been taught. These results show in the learning achievement of students at SMAN 4 Kota Jambi and SMAN 3 Muaro Jambi that each school has its own advantages, especially in the learning achievement of its students. The two schools show a significant comparison in the management of school activities. At SMAN 4 Jambi City, the non-academic achievement obtained was that one of the students had won the rank of the Indonesian under 17 national football team which would be held in mainland Europe, Turkey. This is certainly something to be proud of for the school, parents and students themselves. Meanwhile, at SMAN 3 Muaro Jambi, one of the students was selected to become PASKIBRAKA in Jambi Province
Ensuring and evaluating the quality of education in universities

The problem of ensuring the quality of education of university graduates in connection with the beginning of the transformation of the higher education system is considered. It is shown that the Ministry of Education and the management of universities pay insufficient attention to the issues of ensuring the quality of education, focusing on the assessment of the quality of education. It is proposed to use an interdisciplinary learning model in engineering education, switch to teaching in teachers’ classes. Modern teachers should master a personality-activity approach to teaching, which allows them to realize the educational function of education. Attention is drawn to the need to involve employers in the formation of specialists from university graduates.
Study on the Change in Discharge Characteristics According to Treatment Time in Microplastic Degradation Using DBD

Today, as plastic production has increased worldwide, the problem of microplastics exposed to the natural environment has emerged. Dielectric barrier discharge(DBD) is emerging as a new way to solve the microplastic problem. However, the majority of research is focused on removal efficiency and chemical changes on the surface, with a little study on electrical discharge characteristics. Therefore, in this study, the change in discharge characteristics according to the treatment time during microplastic treatment using DBD was analyzed through the Lissajous curve. As a result of the experiment, as the treatment time increased, the power consumption decreased by 25.59% when treatment for 120 minutes due to changes in charge amount, discharge initiation voltage, and capacitance. The results of this study will provide useful data for future microplastic degradation studies and energy yield calculations using DBD.
N°318 – Electroencephalographic changes in children with autism spectrum disorders

For integer k≥2 and prime power q, the algebraic bipartite graph D(k,q) proposed by Lazebnik and Ustimenko (1995) is meaningful not only in extremal graph theory but also in coding theory and cryptography. This graph is q-regular, edge-transitive and of girth at least k+4. For its exact girth g=g(D(k,q)), Füredi et al. (1995) conjectured g=k+5 for odd k and q≥4. This conjecture was shown to be valid in 2016 when (k+5)/2 is the product of an arbitrary factor of q−1 and an arbitrary power of the characteristic of Fq. In this paper, we determine all the girth cycles of D(k,q) for 3≤k≤5, q>3, and those for 3≤k≤14, q=3.
Harvesting Cloud Credentials in iOS and Android Devices: An Investigative Resource

Abstract: The innovative advancement in digital data storage has facilitated the storage of important files and documents on cloud storage, where the digital data is stored in logical pools. The widespread use of mobile and cloud technologies in our daily lives has led to a significant increase in the amount of sensitive data stored on these platforms, owing to their user-friendliness and secure storage capabilities. The flexibility of cloud storage for accessing any files anywhere and with the limited storage capacity of mobile devices, users are increasingly relying on cloud storage to store their data. Therefore, data extraction from mobile devices and cloud storage has become a critical area of research in the field of digital forensics. This study presents, stepby-step guide that helps Digital Forensic Investigators (DFIs) to acquire saved cloud credentials on iOS and Android mobile phones. Such credentials lead to successful cloud data extraction of relevant digital evidence in an ethical and forensically sound manner. The study emphasizing the need for continuous research in the field of mobile and cloud forensics to tackle the latest threats and vulnerabilities in these domains.
Analysing Cryptocurrency Pump and Dump Scams through Social Media

Abstract: Over the past few years, despite their vulnerability to market manipulation owing to limited liquidity, cryptocurrencies have attracted a lot of public attention and investment. More than $100 billion is currently traded on cryptocurrency exchanges each month, and individuals who are not necessarily experts in the field have begun purchasing these digital assets. A multimodal technique is being utilised to identify and measure coordinated pump and dump scams that are carried out on bitcoin exchanges using social mediaplatforms like Telegram. This strategy attempts to anticipate if a pump effort will be effective by evaluating a variety of parameters.
A planetary turn for design? Speculations on withdrawal and cohabitation

Currently, notions of the planetary have made their way to the center field of design's key concern.In this article we ask the question: can we imagine a planetary turn for design and if so, what would be its key concerns.Drawing on ongoing research on urban nature, design and planning in and around Copenhagen, we, outline 'the planetary turn' as it has emerged in recent years and relate it to current movements in the design field, before suggesting five propositions to open up for the 'interstice' and 'in-between in design', which we argue is never void of meaning but part of an emerging vitalism.Through sensory attunements, we recognize the pluriversal vitalism unfolding in urban natures and commons.Starting from speculative writing, we will present our propositions through performative and audiovisual gestures to enact imaginaries of withdrawal and cohabitation together with our audience.THE PLANETARY CHALLENGE "World, Planet Earth, herein should start Designs concern" (Escobar 2021: 25).Currently notions of planet, planetary and planetarianism are flourishing across art, earth systems sciences, social studies and the humanities, and also design.But how can we re-imagine design from a planetary perspective, and what
What did we actually design here and what purpose did it serve? Some generative metaphors for understanding service design in the Swedish public sector

Building on the lead author's experiences as a design practitioner in the Swedish public sector, we argue that Service Design as practiced today is, in many cases, failing to attend to the design and delivery of actual public services.We explore the blank space we perceive between the rhetoric of evangelists for Service Design in the public sector in Sweden, the reality of working as a Service Designer in the Swedish public sector, and the reality of materialising public services.To explore this blank space, we present a number of generative conceptual metaphors for what, if not actually designing services, Service Designers or those adopting practices in the name of Service Design might more materially be doing.We share a selection of these, in the hope of engaging the NORDES community in helping (re)integrate the rich tradition and conceptual frames of design as a materialising practice, with the practice of actually designing and materialising public services.
Design implications of feeling playful: Play moods + atmospheres in dialogue

Based on a research project Play Stories about play design and embodiment, the aim of this paper is to explore how a fruitful combination of theories about play moods and concepts of atmospheres can enrich the field of play design.The paper explores the implications of this conceptual pairing through two design experiments.It shows how, while it is possible to design for different moods, play's atmospheric qualities insist that designers attend to how these moods emerge, and the shifts that happens when the moods emerge.The main contribution of the paper is to point to the following design implications: Atmospheres help us understand the dynamic of moods, and we therefore have to design for several moods; atmospheres show us the multiple elements that can configure when designing for several moods; and atmospheres orients us to emergence, and show the importance of designing for fluency, which does not mean that the design itself has to be fluent.The focus on atmospheres hints at 'the space intentionally left blank', the ineffable and felt qualities that always evade precise description.