Reviewerly/exHarmony huggingface dataset:
“iSAY”: Blockchain-based Intelligent Polling System for Legislative Assistance

iSAY"' is a Blockchain-based polling system created for legislative assistance.Sri Lanka is a democratic country.Country follows a representative democracy and voters in Sri Lanka vote for their preferred government based on their election mandate.However, governments implement legislative decisions that are not stated in the election mandate.People won't get a chance to state their opinion on this legislative matter and the government also doesn't know whether people like this or not.To solve this issue, in this paper the authors propose a blockchain-based intelligent polling application for legislative assistance."iSay" is an application where blockchain technology gets together with machine learning to add value into the public opinion.The government can create a poll about a legislative decision and people can state their opinion which could be further discussed in the legislature.Adding a significant change to the blockchain based e-voting solutions this paper proposes a novel feature where users can add their idea to a relevant poll.Using machine learning algorithms all these user ideas will be classified and analyzed before presenting to the government.Through this research, it is expected to deploy scalable elections among the general public and get their vote and ideas about specific legislations to generate an overview of general public opinion about legislative decisions.
Improving Transformation Invariance in Contrastive Representation Learning

We propose methods to strengthen the invariance properties of representations obtained by contrastive learning. While existing approaches implicitly induce a degree of invariance as representations are learned, we look to more directly enforce invariance in the encoding process. To this end, we first introduce a training objective for contrastive learning that uses a novel regularizer to control how the representation changes under transformation. We show that representations trained with this objective perform better on downstream tasks and are more robust to the introduction of nuisance transformations at test time. Second, we propose a change to how test time representations are generated by introducing a feature averaging approach that combines encodings from multiple transformations of the original input, finding that this leads to across the board performance gains. Finally, we introduce the novel Spirograph dataset to explore our ideas in the context of a differentiable generative process with multiple downstream tasks, showing that our techniques for learning invariance are highly beneficial.
The Impact of Batik Sewage Disposal Towards The Quality of Dug-Well Water in The Batik Industry Center of Jenggot Pekalongan City

The development of batik industry in Indonesa today is quite rapid after batik has been acknowledged by UNESCO as the intangible world heritage from Indonesia. Pekalongan City is well-known as “Batik City” and it is one of the biggest batik industry centers in Indonesia with its 917 batik industries. Jenggot (administrative) village is one of the biggest batik industry centers in Pekalongan with 203 artisans of batik indstries. The process of batik making needs some dye of synthetic one containing heavy metals one of which is Pb. The present condition, most of the batik industry sewage in Jenggot goes straight to the environment without prior treatment. The purpose of this research is to find out the impact of the disposal of batik sewage containing heavy metal Pb towards the quality of dug-well water around the areas of batik sewage disposal.This is descriptive analytical research with cross-sectional approach method. The research was conducted by taking direct samples of sewage in the community of batik industries, i.e the sample that floods the residential drain and the sample of dug well around the sewage flood. The sample was tested in the laboratory with the AAS instrument.The result of this study, out of 67 samples of batik sewage, showed 17 samples (25.4%) contained heavy metal Pb above the quality standar set, i.e 0.03 mg/L. Twenty (20) samples (29.9%) out of 67 samples of water puddle in the residential areas was above the standard quality set, i.e 0.03 mg/L. As to the quality of dug well, it was found 129 samples (61.4%) out of 210 kinds of well water contained heavy metal Pb above standard quality set, i.e. 0.01 mg/L.This result showed that the quality of environment has declined marked by the polluted dug-well water of the inhabitants around the batik industry center in Jenggot Pekalongan.
PEMBINAAN LITERASI MEDIA DAN PELATIHAN JURNALISTIK PADA ANAK-ANAK DI LPKA KELAS II KOTA BATAM

Batam City Class II Child Prison is a place where children who commit criminal acts are sanctioned by imprisonment or are referred to as assisted residents. A place like this is definitely far from adequate educational facilities. Starting from the limited number of coaches in the institution to the difficulty of children receiving education heoretically. In carrying out the Tridharma of Higher Education, the Communication Studies Study Program sees that the existing situation needs attention. The academics need to feel like they are involved in the prison's assisted children to provide guidance on media literacy, especially in the field of journalism and writing news that focuses on becoming a citizen journalism or citizen journalism. In addition to being able to add insights and education for assisted residents at the Class II Child Prison in Batam City, this guidance also contributes to the world of journalism practitioners. Citizen journalism or citizen journalism is an alternative solution to limited resources and events beyond the reach of the mass media. Community involvement to participate in documenting an event that occurred in this environment can add complete information about important events to be known by the wider community. The material for writing news is carried out by introducing journalism to the community of Binaa first. In the first meeting, those who are interested in participating in the activity will be selected as many as 10-20 assisted residents. Furthermore, they will receive intensive news writing training for 3 to 4 meetings. As well as making sure they can write with news or just information properly and correctly according to journalistic principles. This coaching activity will be carried out around September-October 2017.
Trans-Caps: Transformer Capsule Networks with Self-attention Routing

Capsule Networks (CapsNets) have shown to be a promising alternative to Convolutional Neural Networks (CNNs) in many computer vision tasks, due to their ability to encode object viewpoint variations. The high computational complexity and numerical instability of iterative routing mechanisms stem from the challenging nature of the part-object encoding process. This hinders CapsNets from being utilized effectively in large-scale image tasks. In this paper, we propose a novel non-iterative routing strategy named self-attention routing (SAR) that computes the agreement between the capsules in one forward pass. SAR accomplishes this by utilizing a learnable inducing mixture of Gaussians (IMoG) to reduce the cost of computing pairwise attention values from quadratic to linear time complexity. Our observations show that our Transformer Capsule Network (Trans-Caps) is better suited for complex image tasks including CIFAR-10/100, Tiny-ImageNet, and ImageNet when compared to other prominent CapsNet architectures. We also show that Trans-Caps yields a dramatic improvement over its competitors when presented with novel viewpoints on the SmallNORB dataset, outperforming EM-Caps by 5.77% and 3.25% on the novel azimuth and elevation experiments, respectively. Our observations suggest that our routing mechanism is able to capture complex part-whole relationships which allow Trans-Caps to construct reliable geometrical representations of the objects.
Intuitionistic fuzzy index matrix representation of color images

It is usual in image processing that binary (black &amp; white) and gray images are represented by crisp sets and fuzzy sets respectively. In this paper, an attempt has been made to represent a color image (RGB) using intuitionistic fuzzy index matrices. The objective of this representation is to apply mathematical operators on intuitionistic fuzzy index matrices in processing RGB images.
THE FATE OF DYSTOPIAS AND NEOLIBERAL VALUES IN MODERN SERIAL PRODUCTION

The genre of dystopia is not among the most highly rated, since its character is usually critical and not entertaining. This is why the phenomenon of a growing number of dystopia remakes in the entertainment media industry is of scientific interest. Traditionally, dystopia was aimed at actualizing political problems related to the interaction between a state and a person. Apparently, contemporary totalitarianism is acquiring new features and is no longer a specific organization of state power in a particular country, but is associated with globalization, the development of macro-businesses and digitalization. Totalitarianism is being transformed from a political category to an economic one; consumerism in a society does the same in culture and art, which signs the French philosophers have been noticing since the second half of the 20th century. The question to be answered is whether the genre of dystopia in modern screen culture fulfills its function—critical evaluation of the modern totalitarianism. The research concerns an adaptation of F.K. Dick’s The Man in the High Castle. The analysis, however, is not cinematic, but cultural, as it is carried out in the context of the general socio-economic situation and the interpretation of the global digital macroeconomics as a possible manifestation of modern totalitarianism. In cultural analysis, a separate screen work becomes a manifestation of various tendencies, therefore, the study uses theoretical material from different areas such as existential philosophy of the twentieth century, Chinese philosophy, as well as sociopolitical criticism of the modern society. The methodology of reasoning in this context cannot be reduced only to the analysis of the film, but should be based on the principle of hermeneutic circles, since both the book and the series contain several semantic layers that must be correlated with the general cultural context. The author concludes that due to the economic and political pressure on the media industry, the processes of globalization and neoliberal “totalitarianism”, mass film products are frequently turning into certain clichés and ideological models, which is in itself a well-disguised dystopia.
Algoritma Welch-Powell Untuk Pewarnaan Graf pada Penjadwalan Perkuliahan

Scheduling is a principal administrative activity in most universities. The problem that often faced is the lecture timetable and course distribution are still manually and have not fully paid attention to the field of science that matches the interests of the lecturer. To overcome these problems, the authors use Welch-Powell's algorithm to arrange lecture arrangement schedules with expectations that the scheduling will be faster and optimal and more satisfying to various parties. The results of applying Welch-Powell's Algorithm to the willingness of lecturers to teach available courses provide four colors. The results are used to map lecturers and subjects that are supported by class availability to ensure that lecturers with the same course choices must be placed in different classes. In meeting class needs, one lecturer can handle several subjects, and several lecturers can teach one subject. The results of applying the Welch-Powell Algorithm to the suitability of teaching time give 29 colours. These results are used to map lecture time to ensure that lecturers with the same choice of time should be provided in different classes.&#x0D; Keywords: Vertex, Colouring, Welch-Powell's algorithm
TYPES OF MOOD USED BY THE LECTURER IN TEACHING READING: A SYSTEMIC FUNCTIONAL LINGUISTIC ANALYSIS

Teaching Reading is a way to develop students’ awareness and to facilitate students to learn the reading skill in order to develop students engaged with the text they read in a meaningful way. In teaching Reading, the lecturer used several types of mood to make the students understand the materials. This study is aimed at describing the types of mood used by the lecturer in teaching two Reading classes in a private university in Semarang, Central Java, Indonesia. This study used qualitative research design since it describes certain phenomenon that is types of mood used by the lecturer in teaching Reading. The setting of this research is in English Department, Universitas Dian Nuswantoro Semarang, Central Java, Indonesia. The data are in the forms of utterances used by the lecturer in teaching Reading. Data collection was done by observing and taking notes on the teaching and learning process of Reading, video recording the teaching and learning process of Reading, viewing the data to show the completeness of the data, and transcribing the recorded data into the written forms. The were analyzed using qualitative data analysis offered by Creswell (2009), those are organizing and preparing data, coding and segmenting the written data into clauses, identifying the type of mood, classifying the type of mood, and interpreting the data. The result showed that the type of mood mostly used by the lecturer in teaching Reading is declarative because the lecturer gives much information to the students to make the students understand the materials. Other types of mood used are interrogative and imperative ones.
Maximal Information Complemented Refinement Network for Gland Instance Segmentation

The analysis of glandular morphology is a crucial step to determine the presence and grade of cancer. The rise of computational pathology has led to the development of automated segmentation to overcome the time-consuming manual segmentation. Although the existing encoder-decoder networks haved made significant progress, the downsample operation causes fine-grain information loss. It deteriorates boundaries' localization especially in malignant cases. In this paper, we propose a maximal information complemented refinement network based on UNet. We extend the skip connection with two information complement, aggregate spatial detail information by reuse low-level features, and introduce semantic information by high-level feature guidance. Besides, a weighted cross-entropy loss and generalized dice loss is used to tackle the fuzzy boundary and class imbalance. We evaluated our model against a dozen recent deep learning models on the 2015 MICCAI Gland Segmentation challenge (GlaS) dataset. Extensive experiments show that our proposal achieves the best overall performance, immensely improves the performance of malignant cases.
Markov Model of Cyber Attack Life Cycle Triggered by Software Vulnerability

Software vulnerability life cycles illustrate changes in detection processes of software vulnerabilities during using computer systems.Unfortunately, the detection can be made by cyber-adversaries and a discovered software vulnerability may be consequently exploited for their own purpose.The vulnerability may be exploited by cyber-criminals at any time while it is not patched.Cyber-attacks on organizations by exploring vulnerabilities are usually conducted through the processes divided into many stages.These cyber-attack processes in literature are called cyber-attack live cycles or cyber kill chains.The both type of cycles have their research reflection in literature but so far, they have been separately considered and modeled.This work addresses this deficiency by proposing a Markov model which combine a cyber-attack life cycle with an idea of software vulnerability life cycles.For modeling is applied homogeneous continuous time Markov chain theory.
Co-evolution of Human Corporeality and the Technosphere: a Philosophical-Anthropological Discourse

This study reflects the development and transformation strategies of the anthropological situation in the context of technological progress. The change of the natural way of human existence to the technogenic method of communication leads to the formation of the image of «a virtual personality». The process of assimilation of natural and artificial takes place. Ethical alternatives of the human existence as a species within the Technosphere and the preservation of their humanistic imperative through the bodily projections of the personality are considered. Co-evolution of man and the Technosphere leads to a new way of their interaction and generates Technogenic Anthropology. The study of corporeality in various areas of human life is reflected in its ontological disclosure through the nominal classification: «biological body», «social body», «cultural body», and «virtual body». Plasticity is revealed as the main value and quality, which provides self-reflection in various forms of communication of modern man.
Behavior Analysis of Corona Virus Disease (Covid-19) Transmission Prevention With Health Belief Model Approach

Covid-19 is a global pandemic and the tally keep on going up all across the world.The high prevalence or incidence of Covid-19 cases is of course related to individual perceptions of the disease which will shape the practice of Covid-19 transmission preventingin accordance with recommendations.This study aims to determine the Covif-19 transmission prevention behavior among students of the Medical Study Program FK Unimal class of 2017 based on the Health Belief Model application.This research was a descriptive analytic study, using cross sectional method with a total sampling of 86.The results of the study were presented as univkeepariate descriptive analysis and bivariate analysis using the chi square test.The results showed that 77% of respondents were female, 31% lived in green zone areas, 65.1% of respondents had Covid-19 prevention behavior in the fairly good category.Perceptions of vulnerability were mostly in the fairly good category with good enough behavior as many as 41 respondents (70.7%), the most perceived severity was in the fairly good category with good enough behavior as many as 34 respondents (66.7%).Fair category with good enough behavior, namely 52 respondents (75.4%), the most perceived benefits in the fairly good category with good enough behavior were 30 respondents (76.9%), perception cues to act obtained good perceptions with good enough behavior, namely 28 respondents (59.6%) and the perception was quite good with good enough behavior were 28 respondents (71.8%).The results of the bivariate analysis showed that perceived barrier factor had significant relationship with Covid-19 prevention behavior (p = 0.000).
Tectono-Sedimentary Evolution of the Uranium Deposits of the DASA Graben, Northern Niger

This study presents the structural evolution of the N70° trending Paleozoic-Mesozoic DASA graben, which is considered a sub-basin of the Tim Mersoï basin, and is located in northern Niger. The DASA graben is a uranium-rich trough discovered in recent exploration surveys. A tectono-sedimentary analysis of the DASA graben was implemented with a combined use of satellite imagery, field observations, borehole data analysis and available literature. This graben was affected from the Carboniferous to the Early Cretaceous by two major tectonic periods. The first period was an uplifting stage, which prevailed during the Carboniferous-Permian times and the second, ranging from the Triassic to the Early Cretaceous, corresponds to a rifting episode. The particularity of the DASA graben is that the sediments contain very high uranium grades. Lithological and tectonic factors controlled the emplacement of the uranium mineralization in the graben. The successive fracturing phases that affected the DASA graben were associated with a greater circulation of hydrothermal fluids and would have favoured higher grades of uranium mineralization.
‘It Has a Lot of Potential!’: Use of Blockchain Technology for Education Records

The paper explores the perceptions of university students and their desired features on the use of blockchain technology for the management of education records. A literature review forms the theoretical basis of the research allowing to explore how education records are managed nowadays and the potential for the use of blockchain technology in this area. The theoretical framework is then used to discuss the research findings. The research adopts the interpretive qualitative approach and collects data through a focus group interview with university students. Computer assisted thematic data analysis yields five key themes: current usage of university education records, understanding how blockchain works, sustainability of blockchain, security of blockchain and implementation of blockchain for education records. Participants were generally positive towards the use of blockchain for the management of education records and saw it as one of the potential future solutions. Nevertheless, they voiced some reservations regarding the high energy consumption, costs and security towards a possible use of the blockchain technology. Therefore, careful implementation would be needed, with increased focus on usability, solving some security and sustainability issues and ensuring a fair and transparent access model.This research contributes to the current body of knowledge within informatics by empowering students to share their perception of possible development of student record systems based on blockchain technology. It also provides insights which can be used in the future to achieve a more user focused design of education records management systems.
SEO Techniques to Increase the Visibility of a Website

Optimization of the website in order to increase the traffic in an organic way is called search engine optimization (SEO) various techniques are adopted to achieve the same.The proposed work discusses about some of the techniques used to perform optimization.
Low temperature grain-scale retrograde alteration of detrital minerals in Ajali formation from Benin Flank Of Anambra Basin, Nigeria

Petrographical study of detrital and authigenic minerals from the Ajali Formation in the Benin flank of Anambra Basin was carried out with the aim of interpreting the textural characteristics and alteration patterns. Samples were collected from Ayowgiri sand quarry site and along Fugar-Agenebode road where good exposures of the Ajali Sandstone occurred. Heavy minerals were concentrated using bromoform according to standard procedures. The heavy mineral concentrates were mounted on glass slides with araldite glue. In addition, thin sections of sandstone were prepared. The samples were studied with the aid of polarizing microscopes. The textural features and relationships among the heavy minerals were used in the interpretations. The results indicate that the detrital heavy minerals (Fe-Ti oxides and garnet) have undergone a very low-temperatureretrograde changes rather than ordinary in-situ dissolution by weathering and burial diagenesis. The alteration of Fe-Ti oxides resulted into the formation of leucoxene and chlorite while that of garnet resulted only into the formation of chlorite. Detrital magnetite was partially dissolved with skeletal remains while the authigenic grains showed well preserved structures. The re-equilibration of these minerals and partial dissolution were probably due to rise in temperature and change in the chemistry of the formation water. Reducing and acidic conditions at elevated temperature probably favoured dissolution and alteration of the detrital Fe-oxides while the formation of authigenic hematite was aided by oxidizing condition. Temperature increase was probably induced by either underneath thin lithospheric plate or igneous activities at the center of the basin. The conversion of the detrital minerals to authigenic chlorite and partial replacement structures represent a typical case of retrograde reaction which could be described as evidence of a very low-temperature anchi-metamorphism at mineral grain level.&#x0D; Key words: Authigenic, chlorite, Fe-oxides, garnet, retrograde, anchi-metamorphism.