Reviewerly/exHarmony huggingface dataset:
Dual-State Capsule Networks for Text Classification.

Text classification systems based on contextual embeddings are not viable options for many of the low resource languages. On the other hand, recently introduced capsule networks have shown performance in par with these text classification models. Thus, they could be considered as a viable alternative for text classification for languages that do not have pre-trained contextual embedding models. However, current capsule networks depend upon spatial patterns without considering the sequential features of the text. They are also sub-optimal in capturing the context-level information in longer sequences. This paper presents a novel Dual-State Capsule (DS-Caps) network-based technique for text classification, which is optimized to mitigate these issues. Two varieties of states, namely sentence-level and word-level, are integrated with capsule layers to capture deeper context-level information for language modeling. The dynamic routing process among capsules was also optimized using the context-level information obtained through sentence-level states. The DS-Caps networks outperform the existing capsule network architectures for multiple datasets, particularly for tasks with longer sequences of text. We also demonstrate the superiority of DS-Caps in text classification for a low resource language.
Use of Blockchain technology as a support tool in economic and financial processes.

In view of the current advantages of using blockchain technology, among which stand out the efficient management of data and information security, it is highlighted as a key factor the management of data blocks, which according to its structure and operation, allow organizations to raise possibilities associated with the action of sharing information in a context oriented to the commercial management of goods and services, while enabling the construction of consortia, working groups or associations. This paper seeks to present the results of a study that has been oriented towards the identification of the way in which Blockchain technology is being adopted, seen as an emerging tool in the field of transactions in different economic and financial sectors, and consequently, in the territorial synergy that is being generated in the framework of the transparent and secure articulation of actors sharing information. The work methodology has been framed in the literature search, the analysis of the information found, and the proposal that from the area of software engineering is made at a conceptual level, with respect to a simulation in the economic sector.
Penerapan Zachman Framework Dalam Sistem Informasi Manajemen Penyuratan Berbasis Web

In the era of the industrial revolution 4.0, there are very many significant changes to information technology. Advances in information technology so quickly innovate in various circles of society, thanks to this progress people can carry out all activities quickly and accurately. So that the effectiveness and efficiency of an organization or agency will be good. For example, in correspondence activities at the BKPSDM, Sukabumi Regency, initially letters were made by hand and then sent through intermediaries to certain individuals or agencies and vice versa then with the existence of information technology, correspondence activities were made easier in terms of manufacture and delivery. But with this convenience, there are still some obstacles experienced, namely the existence of data redundancy, accumulation of mail data, and the absence of multi users, this causes coordination problems in each field which has an impact on the delay in processing incoming and outgoing letters. This is because the company does not yet have a management support system to bridge correspondence activities and an unorganized reporting system. To overcome this, a suitable information system management model is needed, in this study the model used enterprise architecture with the Zachman Framework method. The focus of the problem in this research is to optimize the flow of correspondence and mail reporting activities using a website-based system as the medium. The results obtained from the Zachman Framework enterprise architecture are in the form of a blueprint or blueprint which will later be used as a reference in system implementation.
Research on the Development and Application of Task - Based Teaching Method———Taking the Comprehensive Japanese Teaching of Senior Japanese Majors as an Example

With the deepening of the new curriculum reform, in order to meet the actual needs of students at all levels in senior Japanese teaching, teachers should guide students to master more Japanese knowledge and skills, and the penetration of methods. Whether Japanese vocabulary or Japanese short stories, they should carry out practical education in the classroom. Teachers need to implement task-based teaching mode, which can make students’ oral English more fluent and language more accurate, and let students consciously integrate into specific learning activities, so as to ensure the efficiency of classroom activities and promote the smooth progress of activities. At present, the task-based teaching model has been unanimously recognized by all education departments in China. Taking senior Japanese majors as an example, this paper expounds the advantages of task - based teaching method, how to combine task - based teaching method to improve students ’ learning enthusiasm and teaching effect of senior Japanese, and puts forward some suggestions for reference.
Third Party Audit Integrated Cloud MicroServices Approach for Security and Integrity for Assorted Real Time Applications

Data in the form of files, documents, emails, pictures, videos, etc. is moved from point A to point B. It is also retained for potential retrieval and delivery via a network (typically the Internet). The user is worried about the security of their data since the data may be attacked and corrupted by someone on the outside. Data integrity is important in the business world, therefore a new idea called data auditing has been created which will have a third party auditor that is capable of ensuring the integrity of the data (TPA). This research effort aims to design a robust auditing system that is able to efficiently implement protection for privacy, make public audits possible, maintain data integrity, and protect the confidentiality of the records. To accommodate the various needs, the auditing system was developed. The three elements are the data owner, the TPA, and the cloud server. The data owner uses an assortment of tools including dividing their file into smaller chunks, encrypting the pieces, creating hash values, reassembling the pieces, and creating a digital signature. The TPA is the one that carries out the primary task of data integrity check. It can do tasks like taking hash values from the blocks in encrypted messages sent from the cloud server, joining them, and signing the string of information. On addition, it does a comparison between the signatures to find out whether the data is changed in the cloud. Data integrity is confirmed on demand by the consumers. The encrypted data blocks are the sole thing the cloud server is utilised for. The network is constantly encountering attacks, and many methods have been created to ensure safe and consistent transmission of data packets. A better and dependable architecture is needed to transfer information across a network effectively. A breach or interception is a kind of attack that intentionally tries to do damage to a system and attempts to make it inoperable or to obtain unauthorised information. To get a full picture of what's happening on their networks, professionals may wish to have Intercept Detection Systems collect information about both successful and failed efforts. The development of intercept detection systems must be done with extreme caution, since there is a very real risk of natural and deliberate interference. This research examines the role of third party forensic database upkeep and analysis. To further investigate all the surveillance efforts with the third party audit scheme in cloud environment, it is essential to save all of the data collected in order to immediately discover how it was found. The study explores new techniques to analyse data stored in third party audit integrated forensic databases in order to help identify the many methods used to monitor citizens and to increase the efficiency of current systems.
SURVEILLANCE SYSTEM FOR SUSPICIOUS VEHICULAR MOVEMENT

The use of video surveillance for security purposes had received significant attention as a result of its versatility and compactness of usage in places like stores, malls, banking halls, and schools among others. Recently, the increase in insurgence and the use of vehicles as ammunition payloads, especially to soft targets have given rise to the need for automatic detection and tracking of suspicious vehicular movements. This paper presents a method for detecting suspicious vehicular movement. In this approach, the pixels of moving vehicles were extracted in wavelet subband differencing of video clips. The system uses field measurements and surveillance camera parameters to detected suspicious vehicular movements. As a result, the presented system provides a reliable automatic suspicious detecting machine. The experimental results were validated with speed limiters installed vehicles. Thus, the system is suitable for detecting suspicious movement.
KLASIFIKASI CITRA MAMMOGRAM MENGGUNAKAN METODE K-MEANS CLUSTERING, GLCM, DAN SUPPORT VECTOR MACHINE(SVM)

Breast cancer is one of the non-communicable diseases that tend to continue to increase every year. The disease occurs almost entirely in women, but can also occur in men. The best way to identify the presence of breast cancer in addition to ultrasound examination can also be by interpreting a mammogram image using low doses of X-rays that can show abnormalities or abnormalities in the breast in a very small form. The cancer detection system that will be built is a detection system in the breast using mammogram imagery that will pass through the pre-processing stage, image segmentation stage, post-processing stage, feature extraction stage, and classification stage. Methods in the stages of breast cancer detection system are K-Means Clustering Method in segmentation process, GLCM in feature extraction and SVM in classification process. This system will detect and classify normal or abnormal breast cancer based on the characteristics that have been extracted, namely contrast, correlation, energy, and homogeneity by using the process of training (training) and testing (test). The accuracy achieved on this system is 85% of the 20 test images attempted.
Elisitasi Kebutuhan Pengguna Menggunakan Metode Storyboard

The COVID-19 pandemic requires online learning for all educational units including University of Muhammadiyah Malang.  The University of Muhammadiyah Malang uses https://lms.umm.ac.id/ as a media to support the process of online learning. The use of https://lms.umm.ac.id/ has been going for a few months, but the students are still confused about the features provided on the site. This might happen because of the sudden change from the previous media which is https://elmu.umm.ac.id/login/canvas. The LMS used is still at the development stage by the academic admin of the University of Muhammadiyah Malang. For the software development process, the developer is required to make a high quality software that meet the users need. Requirement elicitation technique is one of important factors to determine the quality of a software. There are many techniques that can be used in the requirement elicitation process. This study uses the storyboard technique to explore user needs for the use of https://lms.umm.ac.id/ during online learning. Based on the research that has been done, the researcher concludes that the use of storyboarding techniques in exploring user needs in the LMS development process is considered easier. In this problem, a solution was found in the form of adding a feedback feature that was used to measure students' understanding of the learning material and the tasks given during online learning.
Following the Parashot Strategy in Developing Reading Understanding Skills among Female Students in the1st Middle Grade in Reading Material

The research aimed to know the effect of the Parashot strategy in developing the reading comprehension skills of first-grade intermediate students in reading. The researchers put the following two null hypotheses: There is no statistically significant difference at the level (0.05) between the average scores of the experimental group students who study the subject Reading with the Parashot strategy in the pre and post-tests in developing reading comprehension skills as a whole. There is no statistically significant difference at the level (0.05) between the average scores of the experimental group students who study the reading material using the Parashot strategy and the average scores of the control group students who study the same subject in the usual way in the post-test in developing reading comprehension skills as a whole. The research sample consisted of (50) female students from Badr Al-Kubra Secondary School for Girls, divided into two groups, experimental and control; the experimental group consisted of (25) female students who studied using the Parashot strategy, and (25) female students in the control group who studied in the usual way. The researchers prepared a pre and post-test that consisted of (40) multiple-choice items and extracted its validity and reliability. The research reached the following results: The students of the experimental group who studied using the Parashot strategy outperformed in the pre and post choices. The students of the experimental group who studied using the Parashot strategy outperformed the students of the control group who studied in the usual way in the post-test. The research concluded that the Parashot strategy proved to be effective within limits. The current research was conducted in developing the reading comprehension skills of the first intermediate grade female students in the reading subject in equilibrium with the usual method.
Patoots Enterprise / Nur Syamim Syazwana Jasmin ... [et al.]

Committed to providing a good quality and trendiest product to all ages of Malaysian, the PATOOTS ENTERPRISE is launched and created to fulfil the needs. PATOOTS ENTERPRISE is one of the companies that will be providing hand-painted tote bags that is also multifunction. Located at Klang Valley area which is one of the places that have a huge population in Malaysia. PATOOTS ENTERPRISE committed that their products of art or hand-painted tote bags could catch the attentions of the residents at the area especially around Taman Tun Dr Ismail, TTDI.PATOOTS ENTERPRISE vision is to strike on becoming the best tote bags company in the country and be able to compete with other company meanwhile to achieve the vision, we have created two main vision of the company that is also being supported by its objectives. Their vital mission towards our company is to create the best tote bag with high durability and as well as the trendiest product that is satisfying to our customers. This mission will be supported by the objectives which are to offer the best quality of product to customers, to achieve high level of satisfaction and also to enhance the presence of art in teenagers.As we provide ready-made hand-painted bags, we also provide customization services to the customers as most would want their own designs on the bag. To uphold our eco-friendly approach, our products are packaged using parchment paper with our very own Thank you” sticker to secure it. As most of the human population uses smart gadgets and have their own social media accounts, we will advertise our business on social media platforms via our Instagram as well as our Facebook page. These platforms come in handy as we can also announce our promotions such as special events or sales.Our business hours is from Tuesday to Sunday for 7 hours meanwhile operation hours is also from Tuesday to Sunday but this time it took 10 hours. We closed our shop on Monday. The reason why do we open our shop on Saturday and Sunday is because normally our target market is on schools and working on weekdays, they will be available to stop in our shop during the weekends.Last but not least, we hope that our company will be successful and growth in the future. We would want all of our customers to experience and satisfy with our main hand-painted tote bags product and many more upcoming products from PATOOTS ENTERPRISE
Incremental Vulnerability Detection with Insecurity Separation Logic

We present the first compositional, incremental static analysis for detecting memory-safety and information leakage vulnerabilities in C-like programs. To do so, we develop the first under-approximate relational program logics for reasoning about information flow, including Insecurity Separation Logic (InsecSL). Like prior under-approximate separation logics, we show that InsecSL can be automated via symbolic execution. We then build a top-down, contextual, compositional, inter-procedural analysis for detecting vulnerabilities. We prove our approach sound in Isabelle/HOL and implement it in a proof-of-concept tool, Underflow, for analysing C programs, which we apply to various case studies.
A Survey of Blockchain Applications, Challenges and Opportunities

Blockchain have a variety of advantages like decentralization in distributed network. There are large variety of applications in block chain it includes financial services, healthcare management, Internet of Things(IoT), Smart Contracts Block chain Music, Food Safety and  Insurance Companies. A number of research papers deals on this opportunities that Blockchain involves in various public domains. In this paper explains the comparative study of the Blockchain applications, Blockchain architecture, types of mechanism and the challenges of Blockchain it includes privacy, technical problems. In addition, this paper also justifies the longer term opportunity of Blockchain technology.
A web-based visual-analytics tool for ad-hoc campaign planning in terrestrial hydrology

&amp;lt;p&amp;gt;A deeper understanding of the Earth system as a whole and its interacting sub-systems depends, perhaps more than ever, not only on accurate mathematical approximations of the physical processes but also on the availability of environmental data across temporal and spatial scales. Even though advanced numerical simulations and satellite-based remote sensing in conjunction with sophisticated algorithms such as machine learning tools can provide 4D environmental datasets, local and mesoscale measurements continue to be the backbone in many disciplines such as hydrology. Considering the limitations of human and technical resources, monitoring strategies for these types of measurements should be well designed to increase the information gain provided. One helpful set of tools to address these tasks are visual-analytical data exploration frameworks integrating qualified multi-parameter data from different sources and tailoring well-established computational and visual methods to explore and analyze it. In this context, we developed a smart monitoring workflow to determine the most suitable time and location for event-driven, ad-hoc monitoring in hydrology using soil moisture measurements as our target variable.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The Smart Monitoring workflow consists of three main steps. First is the identification of the region of interest, either via user selection or recommendation based on spatial environmental parameters provided by the user. Statistical filters and different color schemes can be applied to highlight potentially relevant regions. During the second step time-dependent environmental parameters (e.g., rainfall and soil moisture estimates of the recent past, weather predictions from numerical weather models and swath forecasts from Earth observation satellites) for those relevant regions can be evaluated to identify suitable time frames for the planned monitoring campaign. Lastly, a detailed assessment of the region of interest is conducted by applying filter and weight functions in combination with multiple linear regressions on selected input parameters. Depending on the measurement objective (e.g highest/lowest values, highest/lowest change), the most suitable areas for monitoring will subsequently be visually highlighted. Based on the common road network an efficient route for a corresponding monitoring campaign can be derived for the identified regions of interest and directly visualized in the visual-analytical environment&amp;lt;/p&amp;gt;
Data Mining Approach For Configuring Energy Conservation Framework Using K-Means Clustering And R - Programming

As we probably are aware entire world depends on corporate capacity, regardless of whether it is a house level or any corporate office; its foundation ought to be actually shrewd. Corporate capacities dealing with a tremendous measure of information like information identified with lighting, cooling, security alerts and so on Along these lines, manual interaction will set aside a lot of effort to discover blames and make vital moves for something similar. Information mining strategy is utilized in this creation to foresee the framework's conduct and their results. This innovation is likewise proficient for dealing with the record's set of experiences and furthermore the quantity of boundaries needed in any premises. By relapse based techniques, energy utilization is anticipated subsequent to recovering data from all sensors. Presently every one of the information which is recovered will be changed over into a specific configuration required and afterward wanted provisions from that arrangement will be chosen. Presently, advancement of the model boundaries will be done, and afterward expectation will be finished by utilizing AI calculation. Patter which will be gotten is additionally perceived by k-implies grouping strategy. After expectation and ID, shortcoming will be perceived and a fast activity will be performed to beat the flaw. We carried out our strategy utilizing most recent components of R Programming.
A contribuição da fisioterapia para pacientes com esclerose múltipla

Introduction: Multiple sclerosis is a chronic and autoimmune disease that affects the white matter of the central nervous system. Objective: To identify the contribution that physical therapy can provide for patients with multiple sclerosis. Methodology: The study of integrative literature review was carried out with documents from the years 1993 to 2019, in English and Portuguese. Data collection was performed at Lilacs, SciELO, Medline and NCBI. Results: Physical therapy showed improvement in muscle strength, balance, range of motion, cardiorespiratory conditioning and prevention of sequelae left by the disease, contributing to the reduction of signs and symptoms such as tiredness, muscle weakness, contributing to this. The quality of life of patients. Conclusion: Physical therapy according to the study proved to be important in the treatment for multiple sclerosis patients, who presented improvement in the main symptoms and control of outbreaks.Keywords: Diseases of the central nervous system. Multiple Sclerosis. Physiotherapy.