Reviewerly/exHarmony huggingface dataset:
Advancing the Fibershed Movement: Building Relationships Among Scholars and Community Organizers

<p style="margin-bottom: 0px; font-variant-numeric: normal; font-variant-east-asian: normal; font-stretch: normal; line-height: normal; font-family: &quot;.SF NS&quot;; color: rgb(16, 16, 16); font-size: 12px;"><span style="font-size:16px;margin-bottom: 0px; font-variant-numeric: normal; font-variant-east-asian: normal; font-stretch: normal; line-height: normal; font-family: &quot;.SF NS&quot;; color: rgb(16, 16, 16);"><span class="s1" style="margin-bottom: 0px; font-variant-numeric: normal; font-variant-east-asian: normal; font-stretch: normal; line-height: normal; font-family: &quot;.SF NS&quot;; color: rgb(16, 16, 16); font-size: 16px;">The primary goal of our salon session was to share, brainstorm, and discuss the most effective routes for supporting existing fibersheds and advancing action in establishing regional textile cultures and economies. </span>During our session, four research teams each gave short presentations on their inquiry concerning fibershed related topics. We then split into two separate brainstorming groups with on the ground community members of place-based fibersheds. In our brainstorming groups with our invited community members, we found the following themes: Difficulties in how to communicate across different sectors of the industry. A need to enhance education of the general public to increase appreciation and generate excitement about fibershed and fibershed related products. Community members expressed interest in more case studies focused on fibershed related businesses and topics. Community members suggested creating a network for communication.</span>
Vehicle Searching in Underground Parking Lots Based on Blockchain

Now the area of the underground parking lot is becoming larger and larger. In such a large or even multi-level area, people usually spend a lot of time finding their vehicles. This problem is called reverse vehicle search. The unique problem of indoor positioning is that the GPS signal is limited, but the location is relatively fixed. The Internet of vehicles for vehicle search will face security and privacy risks. This paper proposes a vehicle positioning system based on a blockchain network to avoid relevant risks. In this system, the vehicles in the parking lot share each other’s positioning as nodes and store the data encrypted. Users can access the blockchain network to search the cars.
Sistem Informasi Raport Online Pada Mts Minhajut Tholibin Jakarta Barat

Schools have not fully utilized technological developments in processing data such as student data, teacher data, student attendance, and student report cards, and have not been integrated with the school system due to the lack of an academically adaptable application system. The use of media or dissemination of information is still done by pasting pamphlets on the walls of magazines, as well as storing academic data in archives in a form that is difficult to find. This is considered less effective in school management, given the rapid development of technology today. With the problems that the authors found, an online report card information system application will be designed using the Waterfall method, to make it easier to manage administrative and academic data to be more organized in decision-making in the school environment.
Cresting the wave: COVID-19’s impact on reconceptualising higher education professional development

The book is devoted to scholarship in the field of pre-service teacher education, with a specific focus on research into the enhancement of self-directed learning, and contributes to the discourse on creating a disposition towards self-directed learning during the social and academic integration of first-year students within higher education institutions. Two chapters also deal with research on the development of self-directed learning and nuanced understandings of the chosen professions of Law and Health Sciences students. The target audience is scholars working in the fields of teacher education, self-directed learning, engaging pedagogies, problem-based learning, cooperative learning and gamification. Whereas social constructivist learning theory served as an overarching theoretical framework for the virtual excursions, the various chapters in the book also draw on other secondary theories, such as self-determination theory, social interdependence theory, gender theory and the with fitness model of Kounin (1970).
Attacks on SSL and TLS

Many attacks on TLS have been published exploiting vulnerabilities in implementations or the specification. These attacks target different data sets that should be protected by cryptography: the plaintext of a TLS record, the PremasterSecret, the MasterSecret, or even the private key of the server. In this chapter, attacks are classified according to these targets and the basic attack technique used. None of the described attacks did break TLS completely, so they should not be considered as a weakness of TLS but rather as an indication of the growing understanding of TLS in the research community.
Communication

Communication is about sending data through component or app or device boundaries. A standardized way of components of one or more apps communicating with each other is using broadcasts, which we talked about in Chapter 5 .
Percepciones de jóvenes universitarios sobre sus habilidades digitales académicas y educación virtual durante la pandemia

The Covid-19 pandemic has generated a multidimensional transformation in higher education. The sudden change in teaching modality that it brought about, together with the growing use of mobile devices for academic activities, placed a considerable burden on universities, who adjusted their institutional programs in order to enhance the pedagogical benefit of technologies in education. In this context, this study analyzes some perceptions of young university students about their digital academic skills and virtual education during the pandemic. The qualitative approach was used and the focus group technique was implemented in which a total of 26 young men and women between 18-26 years old participated in two campuses of the University of Guadalajara. The findings revealed that although the perception of their academic digital skills is good, objectively there were areas of opportunity for improvement. On the other hand, the general perception of virtual education has been bad at the beginning of the pandemic and has been changing at the end of it, presenting challenges mainly in the intentional design of teaching and learning activities.
Impact of technology advancement on enhancing organizational performance with HRM practices

In present competitive era, the utilization of upgraded technology in the area of Human Resources is to enhance the performance with effective utilizations of available resources to competitive nature.Practices related to human resource management contribute to motivate employees and preparing psychologically them to creating a productive working environment.HRM practices have highly impact on building the employees self-values and explicit behaviors.Now a days, AI, Block chain and other updated techiest are very useful to manage the working environment with proper keeping the data.A lot of the work in the HR office is administrative in nature.By utilizing Information Technology, a hefty portion of the data can be robotized and the majority of people can be consume their time in research and development work.In most of the organizations, one of the most serious issue is to upkeep the present information record for future perspective.Human resource information system keeps the audit of human resource professionals in proper way.It is the method through which an organization collects, analyses and reports the information about the people working in the organizations.It has been demonstrated that one of the supporting columns which can add to the satisfaction of the individual approach is the utilization of Information Technologies in Human Resource Management and enhancing organizational performance.
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling

Downsampling is widely adopted to achieve a good trade-off between accuracy and latency for visual recognition. Unfortunately, the commonly used pooling layers are not learned, and thus cannot preserve important information. As another dimension reduction method, adaptive sampling weights and processes regions that are relevant to the task, and is thus able to better preserve useful information. However, the use of adaptive sampling has been limited to certain layers. In this paper, we show that using adaptive sampling in the building blocks of a deep neural network can improve its efficiency. In particular, we propose SSBNet which is built by inserting sampling layers repeatedly into existing networks like ResNet. Experiment results show that the proposed SSBNet can achieve competitive image classification and object detection performance on ImageNet and COCO datasets. For example, the SSB-ResNet-RS-200 achieved 82.6% accuracy on ImageNet dataset, which is 0.6% higher than the baseline ResNet-RS-152 with a similar complexity. Visualization shows the advantage of SSBNet in allowing different layers to focus on different positions, and ablation studies further validate the advantage of adaptive sampling over uniform methods.
Programme of the 21st European Conference on Eye Movements

About ECEM ECEM was initiated by Rudolf Groner (Bern), Dieter Heller (Bayreuth at the time) and Henk Breimer (Tilburg) in the 198 to provide a forum for an interdisciplinary group of scientists interested in eye movements. Since the inaugural meeting in Bern, the conference has been held every two years in different venues across Europe until 2021, when it was planned to take place in Leicester but was cancelled due to the COVID pandemic. It was decided to hold the meeting in Leicester in August 2022 instead, and as an in person meeting rather than an online or hybrid event. Incidentally, the present meeting is the third time the conference has come to the English East Midlands, now in Leicester following previous meetings in the neighbouring cities of Derby and Nottingham. The sites of previous ECEMs and webpages can be found here..
Representation of Health Messages in Bear Brand’s Advertisement Series Using Barthes’ Semiotics Analysis

&lt;p&gt;In this digital era, advertisement is a form of communication. Messages can be included in advertisements. One example is the Bear Brand advertisement, which broadcasts health messages during the COVID-19 pandemic. Bear Brand is a milk drink brand. As a brand, it has several advertisements in media. The purpose of this study is to analyze health messages in the Bear Brand New Normal series advertisements. This study uses qualitative research methods. This study analyzes advertisements in the official channel of Bear Brand on YouTube. Purposive sampling is used in this study. This study examines the channel's New Normal ad series. This study employs Roland Barthes' semiotic theory to explain the level of signification of the relationship between the signifier and the signified in the Bear Brand advertisement, as well as to describe the denotative and connotative forms and myths in the advertisement. This study also employs Stuart Hall's representation theory to examine the representation of health messages in advertisements that include both verbal and nonverbal cues. The findings of the study show how health messages are represented in advertisements related to the COVID-19 pandemic.&lt;/p&gt;
EFEKTIVITAS PELAKSANAAN KEGIATAN BELAJAR DARI RUMAH (BDR) PADA SISWA SD DI KOTA SAMARINDA

Various cities in Indonesia, Samarinda are one of the cities experiencing the impact of this pandemic. In education itself, the city of Samarinda has followed the government's direction since March 2020 to prevent the spread of COVID-19 by conducting learning from home (BDR) activities. The purpose of this study was to describe the information obtained regarding the effectiveness of implementing learning from home (BDR) activities for elementary school students in the city of Samarinda during the Covid-19 pandemic. This study uses a qualitative descriptive research method. This research will be conducted at SDN 012 Samarinda Ulu, Samarinda city in the even semester from April to July 2021. The subjects of this research are students of SDN 012 Samarinda Ulu who are the main informants. As a triangulation researcher added informants, namely class teachers and parents of students from SDN 012 Samarinda Ulu. To obtain the data that will be needed in this study, it is carried out by techniques, namely interviews and documentation. Activities in analyzing the data obtained are by means of data reduction, data display and conclusion drawing/verification. To test the validity of the data in this study, triagulation is used, namely source triagulation. The results of this study can be concluded that one form of preventing the spread of covid-19 is by conducting learning from home (BDR) activities, in Samarinda City itself, especially at the elementary school level, the process of implementing BDR is carried out online. The steps for implementing online BDR are started from the classroom teacher by asking the virtual attendance of students. After that, it was continued with the delivery of material, then giving assignments and collecting assignments from students. The dominant media used in online learning is mobile phones or smartphones. Furthermore, BDR constraints include student saturation, giving a lot of assignments, difficulty understanding the material and internet network disturbances.
Quantum Technologies

This Chapter intends to introduce the concept of quantum technologies briefly. Quantum computing, quantum key distribution, quantum sensing, quantum simulation, and quantum internet are introduced in separate Sections.
Research on the development status of social organization standardization based on big data analysis

With the “Standardization Law of the People's Republic of China” confirming the legal status of social organization standards, more and more social organizations actively take part in the formulation of social organization standards, and regard the formulation and implementation of social organization standards as one of the important starting points for the management and development of this industry. In recent years, with the progress and improvement of information technology, Internet technology has been widely used in many fields, resulting in a large amount of big data information. This paper collects the social organizations and social organization standard information disclosed by the “N ational Social Organization Standard Information Platform” and conducts big data analysis and statistics to provide a reference for clarifying the status quo of social organization standardization in China and improving the level of social organization standardization.
A Study on Application of Nonlinear Model Predictive Control to Crawler Type Stair Climbing Robot

In this study, nonlinear model predictive control is applied to a crawler-type stair-climbing robot. Currently, the robot in this study is controlled based on a linear model that linearizes the target system. Therefore, it is not possible to control the swinging up of the front wheels. To overcome these shortcomings, we applied nonlinear model predictive control.
Information in Classical Dissipative Dynamics

The Hamiltonian approach to classical mechanics reviewed in the previous section represents a decidedly microscopic view of physical reality: It assumes implicitly that we can take all degrees of freedom fully into account that are involved in a dynamical process, that in particular we have access, through measurement and control, to the quantities determining their dynamical state. In the vast majority of physical situations, this is not nearly the case. Most of the degrees of freedom are not visible, let alone measurable, yet indirectly they do affect the dynamics: Their existence becomes manifest in phenomena like friction, heat, and fluctuations.
Attitude Control for Cooperative Transportation by Multiple Coaxial-UAVs without Positional Relationships Placement Estimation for 3DoF Attitude Control

The recent development of UAV technology has popularized UAV-based systems. However, to use a UAV for package transportation, it is required to select a UAV that satisfies the required conditions of the transported package. In this paper, we propose a cooperative transport system using multiple Coaxial-UAVs.Especially, the aim is to achieve cooperative transportation in cases of unknown positional relationships. For this, it is important to know which axis of rotation the UAV acts on. This paper presents a method to estimate the positions of the UAV relative to the plant using a Neural Network. As a result, it was suggested that the estimation is possible under specific conditions.
Hybrid Support Vector Machine with Grey Wolf Optimization for Classifying Multivariate Data

Rapid improvements in the world of information technology have resulted in a demand for data collecting and the act of storing data for future retrieval. As a result, many businesses and organisations are driven to collect and store massive amounts of data in the data warehouse, a recently built database module. Data classification is a strategy for building a data classifier model that describes the relevant data classes and allows for a better comprehension of the data. It is important to highlight that this data classification approach is not well defined and is a non-deterministic process because there is no guarantee that the data classifier model constructed from past data would work better for future data. In the light of these facts, this chapter discusses the data classification method and its usefulness in the engineering and science fields. The significance and need for a research contribution for data classification using various machine learning models with optimization methods are highlighted, bringing the research work’s aims to light. In this chapter, the various approaches used for designing and developing classifier models, as well as their benefits and drawbacks, are discussed, as well as the hybrid support vector machine with grey wolf optimization (HSVMGWO) used to classify the various datasets. After a thorough evaluation, the proposed HSVMGWO method outperformed the four types of conventional methods: random forest, support vector machine, ada boost algorithm, and finally decision tree, with an efficiency of 95.3 percent, sensitivity of 97.08 percent, specificity of 95.68 percent, and time responsibility of 13.186 M.sec. Statistical study of accuracy values and calculation time shows that the proposed schemes outperform existing approaches.
Research on object placement method based on trajectory recognition in Metaverse

&lt;p&gt;Many studies focus on only one aspect while placing objects in virtual reality environment, such as efficiency, accuracy or interactivity. However, striking a balance between these aspects and taking into account multiple indicators is important as it is the key to improving user experience. Therefore, this paper proposes an efficient and interactive object placement method for recognizing controller trajectory in virtual reality environment. For creating user-friendly feedback, we visualize the intersection of the ray and the scene by linking the controller motion information and the ray. The trajectory is abstracted as point-clouds for matching, and the corresponding object is instantiated at the center of the trajectory. To verify the interactive performance and user satisfaction with this method, we carry out a study on user experience. The results show that both the efficiency and interaction interest are improved by applying our new method, which provides a good idea for the interactive design of virtual reality layout applications.&lt;/p&gt;
A study of malaria in Bangladesh

Background: Malaria still occurs in Bangladesh which is one of the countries of the South-east Asia region. Materials and Methods: The study design included an online search of all data pertaining to Malaria in Bangladesh from the year 2020 onwards. Results: During 2020, 90% of Malaria cases in Bangladesh occurred in just 3 districts of the country. Conclusion: The number of imported cases of Malaria from Bangladesh to India and vice versa would decrease if anti-Malaria measures are stepped up in the respective countries’ border districts.
Incorporating Machine Learning Algorithms to Detect Phishing Websites

The emergence of smart cities and widespread acceptance of smart applications have altered our lives. The surge in internet usage has accelerated our transition into a cyberworld. While the Internet has become an indispensable part of our lives, security breaches like phishing websites have grown as a significant concern. It is an illegal action that involves tricking individuals & luring them to disclose their sensitive information, resulting in substantial financial loss or identity theft. Therefore, a dependable and consistent detection method for phishing websites is required. Due to the dynamic nature of machine learning, it has been widely utilized for distinguishing between phishing and legitimate sites. Hence, several Machine Learning techniques were examined as part of this research, including Gradient Boosting, K nearest neighbors (KNN), Random Forest (RF), Support Vector Machine (SVM), Logistic Regression, and Decision Tree (DT). We evaluated the outcomes through model classification performance indicators. Each model was analyzed based on Accuracy Score, Precision, Recall & F-measure. Random Forest outperformed all other classifiers in terms of accuracy, achieving a score of 96.52% overall.
A new perspective from English language teaching. Invisible learning and its contributions to foreign language acquisition

“The invisible is not what does not exist, but what we cannot observe." The objective of this research is to determine the impact of the invisible learning of Moravec and Cobo (2011) on the acquisition of the English language. To this end, the available scientific literature was reviewed, proceeding later to argue the benefits of invisible learning in learning English with technological tools. The emergence of new technologies requires that teachers act in an innovative way by applying teaching strategies that facilitate the educational achievement of the student, developing social, reflective and cognitive skills. Said learning is no longer only conceived as the incorporation of new grammatical structures, but with the learning of a new culture. From the trial, it was possible to conclude that invisible learning shows a relevant role when learning a foreign language due to its characteristics that incorporate ICTs and gamification, which are highly accepted and motivating for students in the classroom.