Reviewerly/exHarmony huggingface dataset:
Generative Adversarial learning with Negative Data Augmentation for Semi-supervised Text Classification

In recent years, semi-supervised generative adversarial networks (SS-GANs) models such as GAN-BERT have achieved promising results on the text classification task. One of the techniques used in these models to mitigate the generator from mode collapse is feature matching (FM). Although FM addresses some of the critical issues of SS-GANs, these models still suffer from mode collapse with missing coverage outside the data manifold. Moreover, FM loosely tries to match the distribution between the real data and the fake generated samples. By doing this, the generator can generate fake samples inside high-density regions in the data manifold, where the discriminator learns to misclassify them as out-of-data-manifold regions. In this work, we employ the negative data augmentation (NDA) technique, for the first time in text classification, to alleviate the mentioned problems. NDA is a unique way of producing out-of-distribution fake examples by applying mixup transformation on the fake samples and augmented real data. In our new model (NDA-GAN), we produce NDA samples by combining the generator's output with the contextual representation of the real data. As a result of the mixing, NDA samples are less likely to place in the high-density regions, and due to blending with real data representations, these samples reasonably preserve a close distance to the data manifold. Consequently, the NDA samples increase the discriminator's power to find the optimal decision boundary. Our experimental results demonstrate that the negative augmented samples improve the overall accuracy of our proposed model and make it more confident when detecting out-of-distribution samples.&#x0D;
NOVEL DESIGN OF SOLAR PANEL SYSTEM

Solar energy has a big potential as one of the renewable energy resources in the world. However, the conventional fixed photovoltaic (PV) system provides less efficient and less innovative system. This type of system faces problems of dust, heat, wind, difficult installation and also very less efficient in terms of electric power. To overcome these problems there should be a system which solves these problems automatically. In this research paper, a Novel Design of Solar Panel System is proposed which will solve these problems by self- cleaning, natural cooling, wind protection, solar tracking, easy installation. In these proposed methodology, self- cleaning features, natural cooling elevated design, wind protection system and dual-axis solar tracking system will be added to increase its overall efficiency by 40%. The proposed work is validated with the help of experimental prototype. Keywords - Solar energy, photovoltaic, solar tracking.
SMART AUDIO GLOVES FOR DEAF AND DUMB PEOPLE

Deaf-Mute people at some stage in the globe use gesture-based communication to talk with others, this can be possible for the people WHO have tough distinctive coaching. Everyday voters face bother in understanding the linguistic communication. To defeat these continuous problems, this framework is made. At no matter purpose the framework detects any gesture-based communication, it plays comparison recorded voice. This diminishes the correspondence hole among customary people and allows a free flow of interactions between public voters. This model contains of 3 modules, they are detecting unit, handling unit and voice stockpiling unit. This endeavor utilizes a flex device and WTV-SR voice recorder. KEYWORDS: linguistic communication, Gesture based mostly Communication, Flex device, Recorded Voice.
AUTOMATIC IDENTIFICATION OF GASTROSCOPY SURVEILLANCE INTERVAL AND FOLLOW-UP REMINDER FOR HIGH-RISK PATIENTS UNDERGOING SCREENING UPPER ENDOSCOPY

Aims Gastric adenocarcinoma develops through a cascade of precancerous lesions. Determining surveillance intervals and timely reminding patients with precancerous lesions is critical but time-consuming. We aimed to create a system that automatically categorizes patients into different surveillance intervals and sends patients timely follow-up messages.
MEDICAL ASSIST FOR ISOLATED WARD PATIENTS IN HOSPITALS

Monitoring daily activities is essential for home service robots to take care of the older adults who live alone in their homes. In this article, we proposed a Medical Assist for isolated ward pateints in hospital framework by recognizing sound events in a home environment. First, the method of context-aware sound event recognition (CoSER) is developed, which uses contextual information to disambiguate sound events. The locational context of sound events is estimated by fusing the data from the distributed passive infrared (PIR) sensors deployed in the home. A two-level dynamic Bayesian network (DBN) is used to model the intratemporal and intertemporal constraints between the context and the sound events. Second, dynamic sliding time window-based human action recognition (DTW-HaR) is developed to estimate active sound event segments with their labels and durations, then infer actions and their durations. Finally, a conditional random field (CRF) model is proposed to predict human activities based on the recognized action, location, and time. We conducted experiments in our robot-integrated smart home (RiSH) testbed to evaluate the proposed framework. The obtained results show the effectiveness and accuracy of CoSER, action recognition, and human activitymonitoring. Key Words: Activity monitoring, context-awareness, elderly care, sound event.
DATA SECURITY APPROACH ON CYBERCRIME USING WEB VULNERABILITY

Internet could be a major supply of spreading terrorist act through speeches and videos. Terrorist organizations use net particularly social networks to brain wash people and promote terrorist activities through provocative websites that inspire helpless individuals to affix terrorist organizations. Therefore, here we have a tendency to propose Associate in Nursing economical net data processing system to observe such net properties and flag them mechanically for human review. websites are created from hypertext mark-up language (Hypertext markup language). In numerous arrangements and have pictures, texts etc., intermixed on a single website. Here, we have a tendency to used data processing further as net mining to observe patterns and mine out matter info on websites. Here, we have a tendency to are victimization E-mail System to observe the unwanted messages that are additional prone to terrorist act and can send to the spam on to the recipient who is victimization the system. Despite the speedy increase of cyber threats, there has still been very little analysis into the foundations of the topic or methodologies that would serve to guide info systems researchers and practitioners UN agency touch upon cybersecurity. additionally, very little is thought regarding crime- as-a-service (CaaS), a criminal business model that underpins the crime underground. This analysis gap and also the sensible cybercrime issues we have a tendency to face have impelled North American nation to research the crime underground economy by taking an information analytics approach from a style science perspective. to realize this goal, we: (1) propose a data analysis framework for analyzing the crime underground; (2) propose CaaS and crimeware definitions; (3) propose Associate in Nursing associated classification model, Associate in Nursingd (4) develop an example application to demonstrate however the planned framework and classification model might be enforced in apply. We then use this application to research the crime underground economy by analyzing an oversized knowledge set obtained from the net hacking community. By taking a style science analysis approach, this paper contributes to the planning of the email phishing in the area of cybercrime and the area is to fulfill the data security to the email messages consisting the data and providing them the security using the naïve bayes to planning the International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 06 Issue: 05 | May - 2022 Impact Factor: 7.185 ISSN: 2582-3930 © 2022, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM12419 | Page 2 industries will harden attacks by the crime underground. Among these, one of the attack is the email phishing. Keywords: CAAS (Crimeware-as-a-Service), ICMP (Internet Control Message Protocol), IRC (Internet Relay Chat), MIB (Management Information Base), CVE (Common Vulnerabilities and Exposures).
The closeness constraint on focus association and the syntax of Q-particles

While in some languages focus association at a distance is possible, in some languages, focus particles must be as close to their associates as possible. In this paper, I argue that the closeness constraint is attested also in wh-questions. The evidence comes from Sinhala (Indo-Aryan) wh-questions, in which the Q-particle is restricted to positions that are as close to the wh-word as possible. I show that this constraint poses challenges for the existing analyses of Sinhala wh-questions, and present a new account under which the Q-particle undergoes phase-constrained overt movement.
Comparative evaluation of various methods of diagnosis of malaria and assessment of hematological parameters in malarial infection

Background:Malaria remains a substantial health problem in many parts of world, especially in the tropical developing nations. Management of malaria requires early and accurate diagnosis. The aim of this study was to measure and compare the diagnostic accuracy of different methods of diagnosis of malaria and to study the limitations mostly due to low parasite density. We also evaluate the haematological changes in malaria patients.Material and methods: The study was conducted on blood samples of patients presenting with pyrexia, attending the various Departments of VSS Institute of Medical Science &amp;Research,Burla, Sambalpur. Blood samples were subjected to thick and thin blood smear examination, QBC method and Rapid Diagnostic Tests (RDTs). Haematological parameters including haemoglobin, total leukocyte count, differential count and total platelet count of malaria positive cases were studied. Results: Out of 186 cases of fever, 105 patients were positive for malaria by thick peripheral blood smears. Plasmodium falciparum constitutes 86.66% whereas P. vivax and mixed infections constitute 8.57% and 4.77% respectively of total malaria . The sensitivity of QBC test approached 100% with parasite densities above 500/cu.mm.Antigen detection method was found to be highly sensitive (92.70%) for the diagnosis of P. falciparum infection.
MICROFACIES STUDIES OF THE JURASSIC TAKATU FORMATION, WESTERN SULAIMAN FOLD-THRUST BELT, PAKISTAN

Takatu Formation is well exposed in the western Sulaiman Fold- Thrust Belt, Pakistan. It has an unconformable upper contact with Sembar Formation which is marked by oxidized surface and lower contact with Triassic Wulgai Formation. The Takatu Formation contains a wide variety of limestones, which are fine to coarse grained, palatal, lumpy, skeletal, micritic, nodular, oolitic, and intraclastic. The Takatu Formation is mainly carbonate-litho package with minor siliciclastic content interbedded as shale and marls. The petrography of limestone allowed the differentiation and demonstrated of four major and sub microfacies types. These includes, Mudstone, Wackestone, Packstone and Grainstone microfacies, which are further sub-divided into five microfacies such as, Bioclastic wackstone, Calcispheric packstone, Peloidal packstone, Ooidal grainstone, and Lithoclastic grainstone. These microfacies were compared with standard microfacies and standard zones for their possible depositional environments. On the bases of our studies, it is interpreted that Takatu Formation was deposited in diverse environment ranging from the marginal shallow shelf, upper slope and in deeper parts of the shelf.
Social Media Application for Recruitment Using Pythagorean Fuzzy

The growth of social media is now utilized all over the world. In the past several years social media is used to communicate between person for information sharing and entertainment but now social media is also used for the hiring. This work collects data through questionnaire and online dataset on the recruitment process for three social media i.e. Facebook, Twitter, and LinkedIn. Pythagorean Fuzzy Relation (PFR) is an expansion of both Fuzzy Relationship and Fuzzy Intuitionist Relationship. The Pythagorean fuzzy set is a modern conceptual structure with greater capacity to deal with imprecision rooted in decision making. So we used this technique to identify a social media containing more number of positive respondents in recruitment process. Consequently, Facebook is proved to have high positive feedback and low negative feedback than others. It is observed that time management factor has high impact as it achieves 0.4583 composite range than others. It is also analyzed that abusive factor should be taken care by social media during recruitment as it occupies high range of negative i.e. 0.20519 composition than others.
Human Health Risk Assessment of Heavy Metal Contamination in an Artisanal Gold Mining Community of Kogi State, Nigeria

Artisanal and small-scale gold mining (ASGM) is known to improve the standard of living in the host communities and economic performance of countries involved. However, despite the positive impact on the economy, ASGM is a significant point source of uncontrolled mobilization of hazardous chemicals, notably heavy metals into the environmental media such as soil, air and water. This study assessed human health risk of exposure to heavy metals in soil around artisanal gold mining in Ike community of Kogi State. Twelve (12) soil samples obtained from the gold mining area were analysed for heavy metals (As, Cd, Ni, Pb and Zn) using Atomic Absorption Spectrometry (AAS). Measured concentrations of these metals were used to calculate health risk of children and adults using health risk assessment models. The results showed that mean values of heavy metal concentrations in the soil reflected low metal load (&lt;1) with decreasing order of As&gt;Pb&gt;Zn&gt;Ni&gt;Cd. The results obtained from analysis of non-carcinogenic risk demonstrated that hazard index values of various heavy metals for three exposure pathways (ingestion, dermal and inhalational) were &lt; 1 for children and adults populations. However, As recorded hazard index values &gt; 1 for ingestion pathway for both populations. It was found that As recorded carcinogenic risk of 1.85E-03 for children and 9.86E-04 for adults and Cd recorded 4.67E-04 for children. These values exceeded the safety limit, ranging from 1E-06 to 1E-04, as stated by US Environmental Protection Agency. The study showed that As might pose carcinogenic and non-carcinogenic risks for both populations. Also, Cd might pose carcinogenic risk for children. Hence, As and Cd would be regarded as elements of serious concern in the study area.
Design and Performance Analysis of Short Time Fourier Transform Processor

Abstract: Time-frequency domain characterization of signals have always been focused on variants of Short time Fourier transform (STFT). The selection of transform kernel plays an important role in preserving the signal support which provides a cross-term free time-frequency distribution. Time-Bandwidth product has been taken as a measure of signal support preservation criteria thereby developing an optimal kernel for STFT based on linear canonical decomposition. In the development of kernel , Fractional Fourier Transform (FrFT) is used which provides noise free frequency domain representation .With the help of developed transform kernel , the magnitude-wise shift invariance property is verified and timefrequency content is analyzed by plotting spectrogram. Keywords: STFT, FrFT, kernel, Time-Bandwidth product, spectrogram.
A System on Automated Database and API (Application Programming Interface) Management

Abstract: Web development is a skill that is high in demand, but acquiring it requires a lot of hard work and experience. Managing the frontend is easy but managing the backend and the database is highly daunting. It requires lots of practice. Hence this makes web development complicated. So, a brief analysis has been done on the existing system like Amazon API Gateway, Firebase, and Google Apigee. Also, this paper shows a comparative study of various data transfer formats and techniques. This paper mainly focuses on a novel approach for automated database and API management that resolves the drawbacks in the existing systems. This system will ensure ease of use and a faster development process in terms of front-end and back-end connectivity. The new system focuses on building an architecture that is both scalable and secure from a backend and database perspective. Keywords: Cloud Computing, Firebase, Amazon API Gateway, Google Apigee, REST, SOAP, XML, JSON, Automated Database Management System.
Digital Constitutionalism and Freedom of Expression

This chapter underlines how European digital constitutionalism supports the introduction of remedies in the field of content to protect freedom of expression in the algorithmic society. The first part of this chapter analyses the shift from a liberal economic narrative based on the metaphor of the free marketplace of ideas to the rise of online platforms power in moderating online content. Precisely, it focuses on the logic of content moderation, the rise of the algorithmic public sphere and the challenges to the protection of the right to freedom of expression raised by the private enforcement of fundamental rights. The second part focuses on the current status quo, underlining the first step of European digital constitutionalism to limit platform power and focusing on the horizontal effect doctrine as a potential way to fill the regulatory gap in the field of content moderation. The third part provides the approach which European digital constitutionalism would design to address the challenges of content moderation focusing on rethinking online media pluralism through transparency and procedural safeguards.
LEXIAD, THE FIRST DYSLEXIA-SPECIFIC CYRILLIC FONT COMPARED TO THE POPULAR TIMES NEW ROMAN AND ROBOTO FONTS WHEN READ BY ADULTS

"The LexiaD font was developed for Russian-speaking people with reading disorders (dyslexia) (Alexeeva et al., 2020). LexiaD demonstrated an advantage in letter feature extraction and information integration over other modern Cyrillic fonts (PT Sans and PT Serif) while reading by primary school dyslexic and non-dyslexic children. However, for dyslexic and non-dyslexic adolescents, the familiar Arial font was more effective (Alexeeva, Zubov, 2020). In this study, we tested two possible reasons for the advantages of Arial: familiarity or its structure. LexiaD was compared to Times New Roman (TNR; another familiar font) and Roboto (a font similar to Arial, but less familiar than TNR) when reading texts printed on a paper page. The study involved 42 adults without reading disorders. The previous studies did not show that the font effect interacts with the participant group (with/without dyslexia). The participants read silently three parts of the text about Easter Island and answered comprehension questions. The texts and tasks were borrowed from The Program for International Student Assessment (PISA). During the reading, eye movements were recorded using a mobile tracker (PupilCore) with a sampling frequency of 200 Hz. The mean word reading rate (reading speed) and the mean number of fixations per word were analyzed. Mixed-design ANOVA showed a significant difference between the fonts in reading speed (p=0.05) and the number of fixations (p=0.03). LexiaD was inferior to Roboto in both measures. There was no evidence that the control fonts differed from each other or LexiaD differed from TNR. Thus, it could be assumed that the design made Arial a facilitating font in the previous study. A longitudinal study of LexiaD is required to test how it will perform when it becomes more familiar to readers."
VIRTUAL ASSISTANT

Human computer communication has growing demand recent days. The newgeneration of autonomous technology aspires to give computer interfaces emotional states that relate and consider user as well as system environment considerations. The Virtuail aissistaint enaibles users to aiccess e-maiil aind cailendair notificaition using naiturail lainguaige speaiks. The user must present the system aind enaibling the user to conduct ai diailogue in which it is aiffaible to operaite between these domaiins. In future aill the electronic gaidgets aire operaited by using virtuail aissistaint An intelligent virtuail aissistaint (IVA) or intelligent personail aissistaint (IPA) maiy be ai softwaire aigent which will perform taisks or services for ai privaite supported commainds or questions. Sometimes the term "chaitbot" is employed to aisk virtuail aissistaints generailly or specificailly aiccessed by online chait. In some caises, online chait prograims aire exclusively for entertainment purposes. Some virtuail aissistaints aire reaidy to interpret humain speech aind respond viai synthesized voices. Users cain aisk their aissistaints questions, control home aiutomaition devices aind mediai plaiybaick viai voice, aind mainaige other baisic taisks like emaiil, to- do lists, aind cailendairs with verbail commainds.
Trusted Execution Environments for Internet of Things Devices

A trusted execution Environment (TEE) could be a comfy place of a computer’s essential processor that's designed to shield the most touchy information and operations. TEEs are utilized in an expansion of applications, which incorporates cell gadgets, price processing, and statistics safety. The usage of TEEs is becoming increasingly crucial because the amount of touchy records that are processed and stored electronically continues to develop. TEEs can help guard statistics from being accessed or changed with the resource of unauthorised customers, and can also assist ensure that facts aren't always compromised at some stage in transmission. TEEs typically applied the employment of specialized hardware that would offer a better degree of protection than software program-most effective solutions. Hardware-primarily based total TEEs can also offer better overall performance and power efficiency than software-handiest solutions. There are some particular TEE implementations to be had, which incorporates Intel’s TXT, ARM’s TrustZone, and Samsung’s KNOX. Each of those implementations has its very personal strengths and weaknesses, so it's miles more crucial to pick the right TEE on your precise software. reckoning on execution environments are becoming an increasing number of necessities because the amount of touchy facts that's processed and stored electronically continues growing. TEEs can assist shield facts from being accessed or modified by means of way of unauthorized customers, and might also help make sure that records aren't compromised at some point of transmission. TEEs normally implemented the employment of specialized hardware, which will offer a far better degree of protection than software program-only answers. To research how this period has been implemented to the exceptional IoT eventualities, which normally address unique characteristics which incorporate device useful resource constraints, we allotted a scientific literature evaluation.