Reviewerly/exHarmony huggingface dataset:
Efficient chatbot for complaint registration

This is a web application designed to manage all police stations in the area. The system consists of four modules, such as the admin module, investigator module, user module, and visitor module. The user is the one who registers the complaint after logging in. The visitor is a user without registration. Visitors can view live news, helpline numbers, and a list of missing persons. In the area, all police stations are managed and administrated by the Superintendent of Police (SP) in this application. Complaints will be taken by the investigator (Police Sub Inspector (PSI)) of the police station entered by the user. If the investigator cannot resolve this complaint, they may forward this complaint to the administrator. The Administrator manages the complaints sent by the investigator and assigns the cases to a higher investigator such as a Circle Inspector (CI), Deputy Superintendent of Police (DSP), etc., and the admin will manage the police stations working under its control. The investigator processes the cases assigned by the administrator and resolves it. Conversational interfaces, also called chatbots, are the best and newest way to get people involved in working with computer systems. Optimizing the use of chatbots between services and people enhances the customer experience. At the same time, companies are being given new opportunities to improve operational efficiency and the customer experience process by reducing typical customer service costs. To be successful, a chatbot must perform these tasks effectively. Human support is needed when approaching. Human intervention is critical to optimizing, customizing, and training a chatbot system.
The Axis History Forum as a Network

In this chapter, the web scraping process is described and is followed by the operationalization of the network model of user relations on AHF. The result of the Louvain modularity clustering algorithm is presented: The AHF network is divided into 10 large clusters and their posting timeframe as well as the location of the users are explored in the final part of the chapter.
E-Commerce application (Q-Kart)

The Internet has become a vital source in cutting-edge business, so e-shopping has become important not only from the point of view of the business person but also from the point of view of the customer. For business people, e-purchases open up new opportunities for work; for customers, make relative shopping possible. Many virtual store customers are instinctive and usually decide to stay at the outlet for a few seconds. The site plan is like decorating a store. Whether the stores look shabby or like thousands of other stores, the customer is more likely to run away to another store. Hence, it has developed a design to provide the client with uncomplicated research, data correction, and certain comments that are possible. In this design, an E-Commerce web page is passed to the stoner that can be used to purchase various types of online products. In this design, the payment system is not included because it uses a specific gateway to complete the payment system.
Dual-Branch Network of Information Mutual Optimization for Salient Object Detection

Salient object detection (SOD) is to segment significant regions of images. Noticing that the saliency maps in existing SOD methods suffer from blurring boundaries owing to insufficient extraction of boundary features and inadequate fusion between boundary features and salient region features, a dual-branch network of information mutual optimization (DIMONet) is proposed. The DIMONet has a region detection branch and a boundary detection branch to extract the corresponding features simultaneously and is mainly composed of two components. One is the mutual optimization module (MOM) that refines salient region features and boundary features based on their internal relationship. The other is the fusion module of multi-receptive fields (FMMF) that integrates multi-layer features with the refined features to distinguish salient objects better and sharpen their boundaries. With the help of MOMs and FMMFs, noises from the background in the boundary features are gradually reduced and hence the boundaries of the salient regions get sharpened. Experiments on five benchmark datasets show that our method is superior to the 18 state-of-the-art methods.
The Digital Markets Act – Regulating the Wild West

This contribution critically assesses the European Union’s Digital Markets Act (DMA). The DMA is the first comprehensive regime to regulate digital gatekeepers in the aim of making platforms markets fairer and more contestable. To this end, it establishes 22 per se conduct rules for designated platforms, which preclude gatekeeper regulation at the national level and thereby call into question the legality of the pioneering German sec. 19a GWB. The analysis shows that the DMA’s conduct rules are not as rigid as they may appear at first sight. While the DMA is more accepting of false positives than of false negatives, it contains several corrective mechanisms that would allow the Commission to finetune the rules to address both the danger of over- and underinclusiveness. A further positive is that the new Regulation incorporates key concepts of the GDPR, and requires coordination between the Commission and key EU data protection bodies. On the downside, the DMA does not contain any substantive rules for the assessment of gatekeeper acquisitions, leaving a worrying gap. The DMA’s conduct rules outlaw specific leveraging strategies in digital ecosystems and may thereby indirectly address a few non-horizontal concerns arising from gatekeeper acquisitions. However, it remains that the European Union’s existing guidance on merger control is seriously out of date. The merger guidelines urgently need updating to include theories of harm for mergers and acquisitions in the digital economy.
Analysis of floating house by using ANSYS: platform material comparison of expanded polystyrene and polyvinyl chloride pipe

Even if living against the water is challenging, living with the rising water level is doable. The global average sea level is rising as a result of global warming. The land surface is being occupied by rising water levels. Several places of the globe are in danger of disappearing from the map, vanishing under water, due to rising sea levels. Society will have to adjust and possibly live in floating dwellings one day. Some countries are further along in their adaptation to the effects of global warming, particularly the rising sea level, than others, depending on their geographical location. In locations where the land is mostly covered by water, the sole option to survive the rising waters is floating house. A 96.6m. sq. long floating house with dimensions of 11.5mx8.4m is considered. This paper aims to construct a floating house and use Ansys software to analyse the structure.
Analysis factors acceptance of e-learning using technology acceptance model approach

&lt;p&gt;E-learning is one of the media in the current learning process, but many facts in the field show that the process of using it is not optimal. Many factors affect one of them, from the user's difficulty to operate it. This research aims to identify the factors that influence the use of the e-learning portal at SMK Muhammadiyah 3 Yogyakarta with a teacher and student as respondents. This research uses a quantitative approach with an ex-post-facto approach. The primary data source comes from sharing an online questionnaire (google form) which contains 30 questions using a Likert scale of 5 as an alternative answer. The research subjects were teachers of SMK Muhammadiyah 3 Yogyakarta with 69 teachers. The results showed that the use of e-learning portals by teachers and students is (1) effect by the e-learning self-efficacy factor on the e-learning portal is still not optimally successful; (2) Effect by complexity factor is still not optimally successful and (3) Effect from motivation factor is getting optimal results.&lt;/p&gt;
KEPUASAN MAHASISWA PRODI D.IV KEBIDANAN POLTEKKES KEMENKES PADANG DALAM MENGGUNAKAN VILEP POLTEKKES KEMENKES SEBAGAI SARANA PENDUKUNG PERKULIAHAN

Vilep is an information technology learning media used in lectures at the Ministry of Health Polytechnic. Vilep was developed by the Head of PPSDM Ministry of Health of the Republic of Indonesia since 2016 through a learning social network. The problem with using Vilep is that D.IV Midwifery Study Program students in Padang have actively used Vilep, but have not used it optimally. The aim of the study was to determine the satisfaction of D.IV Midwifery Study Program students in Padang in using the Vilep Poltekkes of the Ministry of Health as a means of supporting lectures. This type of research is quantitative descriptive to determine the value of an independent variable, either one variable or more (independent) without making comparisons, or connecting with another variable. The number of respondents is 109 students. Data collection uses a questionnaire. Data analysis with univariate to describe the characteristics of each variable. The results showed that for the variable ease of use Vilep chose to agree 68 people (62,4%), for viewing as many as 85 people (78%), for ease of downloading material as many as 55 people (50.4%), for available information as many as 59 people (54.1%). Conclusion, the achievement of student satisfaction in using Vilep as a means of supporting lectures. It is hoped that all lecturers will use Vilep as a support for lectures so that students can optimally use Vilep.
AUGMENTED AND VIRTUAL REALITY IN SCIENCE LAB TRAINING

Appears in: EDULEARN22 Proceedings Publication year: 2022Page: 4690 (abstract only)ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.1115Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
The Impact of Corporate Social Responsibility on Financial Performance: Evidence from the Listed Banks in Pakistan

Corporate social responsibility (CSR) has recently gained substantial attention from researchers across the world. Banks play a crucial role in the prosperity, development, and sustainability of society along with the growth of businesses. The study objective is to assess the impact of CSR initiatives on the financial performance with moderating variable of bank size in the context of Pakistan. The survey questionnaire was used to collect the primary data from respondents. In total 500 survey questionnaires were distributed and 441 fully completed questionnaires were returned, indicating a response rate of 88.2%. A total of eight hypotheses were developed and empirically tested using structural equation model (SEM). The descriptive statistics and direct path coefficients show that all four dimensions of CSR have substantial positive bearings on the financial performance of banks with discretion dimension being more effective. The results of moderating path coefficient show that size of a firm further stimulates and magnifies the impact of legal, ethical, and discretionary aspects of CSR on financial performance except the economic dimension is which has an insignificant impact. Keywords: Corporate Social Responsibility, Financial Performance, Banking Sector
OCR with Google Vision API and Tesseract

Google Vision and Tesseract are both popular and powerful OCR tools, but they each have their weaknesses. In this lesson, you will learn how to combine the two to make the most of their individual strengths and achieve even more accurate OCR results.
Using Generative Art to Convey Past and Future Climate Transitions

The ability to understand modern day climate relies on a foundational understanding of past climate variability and the ways in which the planet is stabilized by interconnected feedbacks. This article presents a unique method for translating records of past climate transitions preserved in deep-sea sediments to broad audiences through an immersive visualization. This visualization is a multimedia installation that incorporates geochemical records of glacial and interglacial transitions and model predictions for future anthropogenic warming to create an immersive experience for viewers, inviting them to engage with and reflect on the subtle, nuanced differences between subsets of Earth's history. This work showcases five intervals of time, beginning with the inception of modern glacial-interglacial cyclicity (~one million years ago), comparing past climate with model results for projected future anthropogenic warming (until 2099). The installation consists of several experimental projections, one for each subset of time, displayed on different surfaces in a room. As viewers move through the space, the projections slowly cycle through different climatic transitions, using animation methods like speed, color, layering, and repetition, all generated through site-specific data to convey the planet's unique behavior as it relates to global climate. This work provides a framework for unique scientific data visualization, with generative animations created using a Perlin Noise algorithm at the center of the installation. Research variables, like sea surface temperature, nutrient dynamics, and the rate of climate change, impact formal outcomes like color, scale, and animation speed, which are all easy to manipulate and connect to specific data. This approach also allows the possibility of publishing data online and provides a mechanism for scaling visual parameters to a wide variety of quantitative and qualitative data.
Quantum properties of a triple-coupled optical cavity with injection of a squeezed vacuum field

Subject of study. A scheme of quantum manipulation in a coupled optical cavity system composed of a triple-coupled optical cavity with injection of a squeezed vacuum field is proposed. Method. The scheme of quantum manipulation in a coupled optical cavity system is based on analysis of the absorption and dispersion characteristics of the reflection in the classical field and the quantum field. Main results. It was established that the absorption and dispersion of the reflection field with different coupled intensities under the classical field show different characteristics. An electromagnetic induction transparency like effect is observed as the coupled intensities increase and becomes more and more obvious as the coupled intensities increase until the absorption curve becomes completely independent due to the strong coupled intensities. The quantum noise fluctuation corresponding to the amplitude and phase of the reflection field in the quantum field also presented different characteristics. With the increase of coupled intensities, the quantum noise fluctuation curve begins to split. At the same time, the splitting of the quantum noise fluctuation curve changes from one to three, and it completely splits into three Lorentz curves finally. Practical significance. The theoretical results of the scheme demonstrated that multiple (three times) quantum manipulation can be implemented simultaneously in a device, which provides a method for quantum dense coding.
Processi di livellamento dialettale in contesto post-migra- torio nella Missione Cattolica di lingua italiana a Bedford (UK)

Italian-speaking Catholic missions have significantly contributed to the cohesion of Italian-speaking communities in non-Italian-speaking countries. Some linguistic phenomena even suggest that participation in religious activities is sociolinguistically relevant. However, there are no case studies on this topic. This paper examines inter-dialect levelling processes in an Italian Catholic community from Montefalcione (AV) in Bedford (UK).
High Embedding Capacity Color Image Steganography Scheme Using Pixel Value Differencing and Addressing the Falling-Off Boundary Problem

In this paper, we changed the methodology for pixel value differencing. The proposed method work on RGB color images improves the existing PVD technique in terms of embedding capacity and overcomes the issue of falling off boundaries in the traditional PVD technique, and provides security to the secret message from histogram quantization attack. Color images are composed of three different color channels (red, green, and blue), so we cannot apply the traditional pixel value differencing algorithm to them. Due to that, the proposed technique divides the RGB photograph in red, blue, and green channels. Following that the modified pixel value differencing algorithm is employed to all successive pixels of color channels. We get the total embedding capacity by adding the embedding capacities of each color component. After embedding the data, we concatenate the color channels to get the stegoimage. On a series of color images, we tested our pixel value differencing approach and found that the stego-picture’s visual excellence and payload capacity were reasonable. The variation in histogram between the stego and cover photographs was minor, making it resistant to histogram quantization attacks, and the suggested approach also solves the issue of falling off the boundary.
A Case Study on Competency-based Syllabus Design for College Students

This study is a case study on competency-based syllabus design for college students. Based on a literature review, professional advice, analysis of an existing syllabus, and pilot study results, a competency-based syllabus for college students was designed. And students’ satisfaction with this syllabus was analyzed. For this study, 8 professors and 155 students in the pilot study and 264 students completed a survey questionnaire to analyze the students’ satisfaction with the syllabus design. Results indicate the following. First, the competency-based syllabus components were core competency, major competency, subject outline, learning outcomes, classroom operation methods, assessment methods, class rule, weekly lessons plans (learning outcomes, learning content, classroom operation methods, student learning activities-pre class, during class, after class), and learning materials. Second, students showed very positive perceptions of the suitability of syllabus components, especially of the class operation methods and students’ learning activities in weekly lesson plans. Additionally, students' perceptions of the specificity of the syllabus were also favorable. Third, students were satisfied with the final competency-based syllabus for students and anticipated it would be helpful for their learning. Based on the results, this study proposes that the competency-based syllabus design for students should be central to a university’s mission to provide competency-based education. Furthermore, the university should regularly and consistently conduct workshops or training for professors to write syllabuses with more specifics and to use them actively during their classes.
An Exploratory Study of Metaverse Literacy

The purpose of this study is to demonstrate foundational information of metaverse literacy education at the level of higher education by theoretically exploring that literacy is necessary to properly understand and utilize them in various ways. In order to achieve this research goal, metaverse is defined as a figured world to explore concepts, components and capabilities of metaverse literacy based on discussions on figured world. The findings are as follows: first, the metaverse literacy consists of the four areas, such as metaverse' sociocultural practices, values and cultural environments, the abilities to interact by everyday language, computer language and data, and characters' identities and independence. As competencies, we suggest the abilities to understand metaverse, and the abilities to develop new values and norms based on metaverse environments, the abilities to understand and reflect on diverse identities placed in the metaverse, and the abilities to cooperate among agents in metaverse by using data and digital tools. We expect to solve these following issues by using the metaverse literacy driven from this study: first, the literacy can be used as components which teachers and students consider in the processes of teaching and learning; second, teachers and students can explore the new status of producers and users in the metaverse; third, they can solve problems when using metaverse, such as interactions in metaverse and understanding multiple identities responsive to diverse types of metaverse.
Analysis of a pilot study collecting pathologist annotations for validating machine learning algorithms

<strong>Purpose:</strong> We describe registration accuracy studies of a custom hardware-software system called eeDAP that registers fields of view (FOVs) of a glass slide on a microscope to the digital presentations of regions of interest (ROIs) of whole slide images (WSI) of the same glass slide. In this manuscript, we describe the results of adding new hardware and use the results to size a larger pathologist data collection study. <br/> <strong>Methods:</strong> We create a registration accuracy task by identifying a visually distinct target. This target will be the center of a WSI ROI and is expected to appear in the center of the microscope FOV. We examined the registration accuracy of 60 ROIs from six slides, alternating registration methods and slide order within each study. We measure the distance between the target and the FOV center (registration error) using an eye piece reticle ruler as the stage moves from target to target. We summarize each error as a success (≤ 5.0 µm) or failure (&gt; 5.0 µm). We completed a multi-reader multicase (MRMC) analysis of the registration successes and failures to estimate the variance components due to the readers and the cases. <br/> <strong> Results:</strong> When using eeDAP in-focus, accuracy was within 5 µm in more than 97% of the FOVs. <br/> <strong>Conclusions:</strong> The eeDAP registration methods were robust to new hardware, and the MRMC analysis has provided variance components for sizing future registration accuracy studies to account for the variability from readers and cases.
Task-aware denoising autoencoders for establishing efficient channels

It has been suggested that medical imaging systems should be evaluated and optimized by use of task-based measures of image quality (IQ). Task-based measures of IQ summarize the performance of an observer at a specific task (e.g., tumor detection). The Hotelling observer (HO) is a commonly employed numerical observer for evaluating and optimizing medical imaging systems. However, the computation of the HO can be intractable when huge covariance matrices of the image data need to be inverted. One way to address this issue is to apply a set of channels to the image data and subsequently compute the HO on the channelized data. When the channels are efficient, the HO performance can be approximated by the performance of the channelized Hotelling observer (CHO). However, it remains unclear how efficient channels can be learned and subsequently employed when performing image processing tasks. In this work, I propose a task-aware method for training denoising autoencoders (DAEs) for establishing efficient channels that can be employed for image denoising. It is demonstrated that the HO performance can be closely approximated by use of the proposed task-aware DAE-learned channels. In addition, the images produced by the proposed task-aware DAEs can achieve improved signal detectability evaluated by a foveated CHO, which was developed for modeling human visual systems.