Reviewerly/exHarmony huggingface dataset:
Importance of solar radiation and the need for improved respect to Sun by Agrometeorologists

Solar radiation refers to energy produced by the Sun, some of which reaches the Earth. This is the primary energy source for most processes in the atmosphere, hydrosphere, and biosphere. Solar radiation is of crucial importance inproviding the energy source for photosynthesis. During 1973 to 1977, when I did my Ph.D. in Agroclimatology in the Iowa State University, USA, I conducted the field experiments during 1975 and 1976 on soil-plant-water relations, growth and nutrient uptake patterns of field grown soybeans under water stress at the Western Iowa Experimental Farm, Castana. During these experiments, the solar radiation was measured with a pyranometer sensor mounted on an anodized aluminimum base. Daily solar radiation values were obtained from an LI-500 integrator attached to the pyranometer sensor. The attenuation of photosynthetically active radiation (PAR) and net radiation (NRAD) in the soybean canopy was determined during the growing season by using vertical profiles of radiation and leaf-area-index values. Once I received my Ph.D., I worked at the Headquarters of the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) in Hyderabad from 1977 to 1983 and at the ICRISAT Sahelian Center, Niamey, Niger from 1984 to 1996. In several field experiments in ICRISAT, the hourly values of net radiation were obtained through net radiometers mounted above the crop canopies. The growth and interception of PAR in a maize/pigeonpea intercrop and sole maize and sole pigeonpea crops grown in large plots were compared. The productivity of maize, sorghum, pigeonpea and a maize/pigeonpea intercrop in the operational research watersheds was measured in relation to the interception of PAR. In another study, it was shown that different shading ability of the crop canopies was one of the factors which determined the crop/weed competition balance and thus contributed to differential crop productivity observed in different cropping systems. Afterwards, when I worked at the World Meteorological Organization from 1996 to 2016 as the Chief of the Agricultural Meteorology Department, as the Director of the Climate Prediction and Adaptation Branch and as the Acting Secretary of the Intergovernmental Panel on Climate Change, a lot of work was done on Solar Radiation. Given all the above work on Solar Radiation, I emphasized the need for improved respect to Sun Bhagawan by Agrometeorologists at the end of this article.
NEW TRENDS IN PHILOLOGY: INTERNET-LINGUISTICS

Thanks to the Internet, both interpersonal and other social communications have expanded significantly.Thus, communication and the means of its implementation have taken a prominent place in the Internet.This caused the emergence of a new type of communication -computermediated communication.The emergence of this type of communication led, accordingly, to the emergence of a language that serves this environment and, as a result, to the emergence of a new direction of linguistics -Internet linguistics.Having become an integral part of modern life, computer-mediated communication in all its manifestations (communication in the chat room, maintaining network diaries, electronic correspondence) is necessary for us in all spheres of our life, including business, educational, and personal spheres.And, accordingly, Internet communication attracts the attention of researchers of various fields, including linguists, which determined the relevance of our research.The emergence of the Internet led not only to the emergence of a new type of communication that serves this environment, but also to the emergence of a language that functions in a new communication environment.A number of reasons allow us to consider the language of
Keynote Speaker to Participant Interaction in Online Webinar by Using Zoom Application

The objective of this descriptive qualitative study was to find out the keynote speaker to participant in online webinar by using zoom application. A keynote speaker has been conducted as a participant. To examine keynote speaker to participant, observation in zoom application were be used. The observation was be used to find out the keynote speaker’s interaction to participant. Then, the results were be analyzed to identify form of keynote speaker’s interaction. The results were 1) There were 3 forms of interaction used by keynote speaker to participant in online webinar, namely initiation move (I-Move), response move (R-Move), and Feedback Move (F-Move), and 2) The Initiation move (I-Move) was the most dominant interaction form used by keynote speaker to participant in online webinar and the least form was feedback move (F-Move).
Toward a Student-Ready Cybersecurity Program: Findings from a Survey of STEM-Students

As the number of available cybersecurity jobs continues to grow, colleges strive to offer to their cybersecurity students an environment which will make them sufficiently prepared to enter the workforce after graduation. This paper explores the academic and professional needs of STEM-students in various higher education institutions across Virginia and how cybersecurity programs can cater to these needs. It also seeks to propose an evidence-based approach for improving the existing cybersecurity programs so that they can become more inclusive and student-ready. A survey of 251 college students in four higher-education institutions in Virginia showed that while there are common patterns observed across gender and race, there are still areas in which more should be done regarding some of these groups. In particular, some discrepancies are observed across gender when it comes to students’ preparation with business fundamentals, the overall satisfaction of the received STEM education, and across race and ethnicity, when it comes to college advising, peer-mentoring, tutoring and faculty mentoring. The results from this study inform specific recommendations that will bring higher-education institutions and their cybersecurity program to a more student-ready level.
Risk perceptions about personal Internet-of-Things: Research directions from a multi-panel Delphi study

Internet-of-Things (IoT) research has primarily focused on identifying IoT devices' organizational risks with little attention to consumer perceptions about IoT device risks. The purpose of this study is to understand consumer risk perceptions for personal IoT devices and translate these perceptions into guidance for future research directions. We conduct a sequential, mixed-methods study using multi-panel Delphi and thematic analysis techniques to understand consumer risk perceptions. The results identify four themes focused on data exposure and user experiences within IoT devices. Our thematic analysis also identified several emerging risks associated with the evolution of IoT device functionality and its potential positioning as a resource for malicious actors to conduct security attacks.
Teaching by Practice: Shaping Secure Coding Mentalities through Cybersecurity CTFs

The use of the Capture the Flag (CTF)-style competitions has grown popular in a variety of environments as a method to improve or reinforce cybersecurity techniques. However, while these competitions have shown promise in student engagement, enjoyment, and the teaching of essential workforce cybersecurity concepts, many of these CTF challenges have largely focused on cybersecurity as a general topic. Further, most in-school CTF challenges are designed with technical institutes in mind, prepping only experienced or upper-level students in cybersecurity studies for real-world challenges. Our paper aims to focus on the setting of a liberal arts institute, emphasizing secure coding as the focus of CTF-engaged learning for beginner to upper-level undergraduate students. We propose a survey system to evaluate the secure coding mentality of our students before and after taking these challenges, as well as an easily-hosted, low-resource CTF platform that students can access either in or outside of the classroom. We have found this system to be moderately effective at framing and improving the secure coding mentalities of our students.
Lightweight Pairwise Key Distribution Scheme for IoTs

Embedding a pairwise key distribution approach in IoT systems is challenging as IoT devices have limited resources, such as memory, processing power, and battery life. This paper presents a secure and lightweight approach that is applied to IoT devices that are divided into Voronoi clusters. This proposed algorithm comprises XOR and concatenation operations for interactive authentication between the server and the IoT devices. Predominantly, the authentication is carried out by the server. It is observed that the algorithm is resilient against man-in-the-middle attacks, forward secrecy, Denial of Service (DoS) attacks, and offers mutual authentication. It is also observed that the given scheme has low communication and computing overheads compared to some existing methods.
Head Movement Modeling for Immersive Visualization in VR

Virtual Reality, and Extended Reality in general, connect the physical body with the virtual world.Movement of our body translates to interactions with this virtual world.Only by moving our head will we see a different perspective.By doing so, the physical restrictions of our body's movement restrict our capabilities virtually.By modelling the capabilities of human movement, render engines can get useful information to precache visual texture information or immersive light information.Such pre-caching becomes vital due to ever increasing realism in virtual environments.This work is the first work to predict the volume in which the head will be positioned in the future based on a data-driven binned-ellipsoid technique.The proposed technique can reduce a 1m 3 volume to a size of 10cm 3 with negligible accuracy loss.This volume then provides the render engine with the necessary information to pre-cache visual data.
Massive Crowd Abnormal Behaviors Recognition Using C3D

Recognizing abnormal activity in a massive crowd can be difficult due to various camera angles, large crowds, and other challenges. Existing methods are frequently investigated using small crowd datasets, clear surveillance video, and simple anomalous behavior. Additionally, proposed solutions are based on complex frameworks that failed to deliver satisfactory results for the large-scale crowd. This research examined methods to enhance identifying abnormal behavior using the large crowd dataset from the Hajj. Large-scale crowds and various anomalous behavior examples can be found in this dataset. This study experiments with different deep learning models to categorize videos from the Hajj dataset into the corresponding class of abnormal behavior. The precision, accuracy, and F1-score of the C3D model on the test set are all outstanding, at 0.90, 0.89, and 0.88 respectively. The model enhances the recognition of abnormal behaviors as compared to previous studies that also employed the Hajj dataset.
Doing Media Linguistic Analysis

This textbook offers an interdisciplinary, comprehensive and state-of-the-art overview of the media linguistics approaches to explain and understand digital communication and multimodality. Linking the fields of communication studies, applied linguistics and journalism, it grounds communication practices in a deep understanding of the social and societal implications of language use in digital media. The tools to analyse multimodal texts are analysed in light of the advantages and constraints that different communication modes pose, both individually and in combination. Aimed at upper level undergraduates and graduates in applied linguistics, communication and media studies, including journalism and PR, this textbook contains case studies and professional examples highlighting the interplay between language use and digital communication and encouraging the reader to reflect on the themes covered, and put the acquired knowledge into practice. Online resources for students include videos, writing techniques, a guide to multimodal texts analysis, additional case studies and a glossary.
Theoretical Context: Understanding Public Digital Communication

This textbook offers an interdisciplinary, comprehensive and state-of-the-art overview of the media linguistics approaches to explain and understand digital communication and multimodality. Linking the fields of communication studies, applied linguistics and journalism, it grounds communication practices in a deep understanding of the social and societal implications of language use in digital media. The tools to analyse multimodal texts are analysed in light of the advantages and constraints that different communication modes pose, both individually and in combination. Aimed at upper level undergraduates and graduates in applied linguistics, communication and media studies, including journalism and PR, this textbook contains case studies and professional examples highlighting the interplay between language use and digital communication and encouraging the reader to reflect on the themes covered, and put the acquired knowledge into practice. Online resources for students include videos, writing techniques, a guide to multimodal texts analysis, additional case studies and a glossary.
A Review of Generative AI from Historical Perspectives

&lt;p&gt;Many applications of Generative AI (such as DALL-E, GPT-3, ChatGPT, etc.) are making headline news in recent months and have been receiving both praise and criticism for their far reaching implications. Some of these applications include query responses, language translation, text to images and videos, composing stories, essays, creating arts and music, generating programs, etc. This review provides an historical background of Generative AI techniques and how they evolved over the years. This report highlights the benefits of Generative AI technologies and their limitations/challenges in moving forward. It is also to be noted that the large-scale applications of AI and their successes are now possible due to exponential advances in hardware (computational power, storage capacity), cloud computing and related operational layers of software.&lt;/p&gt;
YOGA: Deep object detection in the wild with lightweight feature learning and multiscale attention

We introduce YOGA, a deep learning based yet lightweight object detection model that can operate on low-end edge devices while still achieving competitive accuracy. The YOGA architecture consists of a two-phase feature learning pipeline with a cheap linear transformation, which learns feature maps using only half of the convolution filters required by conventional convolutional neural networks. In addition, it performs multi-scale feature fusion in its neck using an attention mechanism instead of the naive concatenation used by conventional detectors. YOGA is a flexible model that can be easily scaled up or down by several orders of magnitude to fit a broad range of hardware constraints. We evaluate YOGA on COCO-val and COCO-testdev datasets with other over 10 state-of-the-art object detectors. The results show that YOGA strikes the best trade-off between model size and accuracy (up to 22% increase of AP and 23-34% reduction of parameters and FLOPs), making it an ideal choice for deployment in the wild on low-end edge devices. This is further affirmed by our hardware implementation and evaluation on NVIDIA Jetson Nano.
Post Hoc Interventions and Swedish Discrimination Law

Since it harms so many, it is natural to think that prejudice must be stopped at its source. That it must itself be removed, to stop its undesirable effects. Or, at the very least, that it must be contained, so that its manifestations are thereby stopped. But what if we can’t? What if prejudice proves too entrenched and its manifestations too difficult to stop? Then we must intervene where we can. We must look downstream from the manifestations of prejudice, yet upstream from its undesirable outcomes, for places where the stream can be rerouted. This is the key insight that motivates the pursuit of post hoc interventions. This volume collects nine contributions to the emerging literature on post hoc interventions, composed by the members of a research incubator which took place in 2022 at the Pufendorf Institute of Advanced Studies in Lund, Sweden. It adopts a range of different perspectives, and draws on expertise in epistemology, ethics, law, psychology, statistics and computer science, as it explores various aspects of this novel approach to prejudice mitigation.
An optimal control approach to particle filtering

We present a novel particle filtering framework for continuous-time dynamical systems with continuous-time measurements. Our approach is based on the duality between estimation and optimal control, which allows reformulating the estimation problem over a fixed time window into an optimal control problem. The resulting optimal control problem has a cost function that depends on the measurements and the closed-loop dynamics under optimal control coincides with the posterior distribution over the trajectories for the corresponding estimation problem. This type of stochastic optimal control problem can be solved using a remarkable technique known as path integral control. By recursively solving these optimal control problems using path integral control as new measurements become available we obtain an optimal control-based particle filtering algorithm. A distinguishing feature of the proposed method is that it uses the measurements over a finite-length time window instead of a single measurement for the estimation at each time step, resembling the batch methods of filtering, and improving fault tolerance. The efficacy of our algorithm is illustrated with several numerical examples.
Fast Substructure Search in Combinatorial Library Spaces

We present an efficient algorithm for substructure search in combinatorial libraries defined by synthons, i.e. substructures with connection points. Our method improves on existing approaches by introducing powerful heuristics and fast fingerprint screening to quickly eliminate branches of non matching combinations of synthons. With this we achieve typical response times of a few seconds on a standard desktop computer for searches in large combinatorial libraries like the Enamine REAL space. We published the Java source as part of the OpenChemLib under the BSD license, and we implemented tools to enable substructure search in custom combinatorial libraries.
Instructional Leadership of School Heads in The New Normal: Basis For Enhancement Program

Abstract: The study aimed to assess the instruc tional leadership of school heads in the new normal in the Division of Rizal during the school year 2020 - 2021. This study is limited to the public secondary school heads in the Division of Rizal. The researcher selects forty (40) school heads as the respondents of the study. Purposive sampling technique was used in determining the respondents. The study used the descriptive survey research utilizing the researc her made instrument.
A Comparison of Conventional Face-to-Face, Online and Hybrid Methods of Course Delivery in the `English as a Foreign Language' Classroom

The advent of online and hybrid learning in the English as a Foreign Language classroom has sparked an extended debate. This paper aims to contribute to this ongoing debate by scrutinizing the effectiveness of the three different instructional methods: online, hybrid, and conventional face-to-face classrooms for the teaching of English grammar in the EFL setting. Students in online sections reported more challenges than those in the hybrid and face-to-face sections. The implications of this study are discussed in this paper.&#x0D; Keywords: Face-to-face, Hybrid, Instruction, Learning, Online
The Rise of Virtual Tour in Tourism: A Bibliometric Review and Future Research Agenda

This study aims to identify the most prominent authors, journals, the most productive and cited countries, the most productive affiliations, and the most commonly used keywords in the field.Second, to identify and present the existing gaps in the literature and sets out the future research trajectory.The present study identified and extracted the bibliographic data from the Scopus database and employs bibliometric analysis by using the Bibliometrix Rpackage tool.All relevant publications on virtual tours in tourism from 2002 to 2022 are reviewed in this study.A variety of perspectives on virtual tours in tourism were explored and discussed.The findings from the bibliometric analysis provide a holistic understanding of the structure of the field under investigation.The leading trends in terms of authors, journals, countries, affiliations, and keywords were also included.This study draws whole new insights and trends in the integration of virtual tours in tourism as part of an effort for the industry to embrace the perks of technologies, especially post-COVID.By mapping what is known, the study also provides a high potential to help industrial practitioners, especially hoteliers to get a better picture of how technology can empower tourists' desire for the tourism sites.The study will contribute critically to ascertaining relevant research aspects on a virtual tour in tourism.Additionally, the analysis and the graphical visualization are equally crucial, as they will benefit both researchers and practitioner, to better understand the state-of-the-art of virtual tour in tourism, synthesizes existing knowledge, and offers scientific evidence of potential research gaps as well as reveal possibilities, directions, and paths for future study in this growing discipline of tourism studies.
SOSIALISASI PELESTARIAN DAN PENGELOLAAN CAGAR BUDAYA DI KOTA PEMATANG SIANTAR

The Pematang Siantar city government has issued Regional Regulation number 1 of 2021 concerning the Preservation and Management of Cultural Conservation in the city of Pematang Siantar. Cultural heritage is a cultural heritage that is material in the form of Cultural Conservation Objects, Cultural Conservation Buildings, Cultural Conservation Structures, Cultural Conservation Sites, and Cultural Conservation Areas on land and or in water that need to be preserved because they have important values for history, science, education, religion, and or culture through the determination process. The purpose of this community service is to explain to participants, namely government employees in the sub-districts of Pematang Siantar city, which are eight sub-districts so that they can know and get provisions to carry out the preservation and management of cultural heritage or suspected cultural heritage in their respective regions.The method used is the lecture method, followed by a question and answer session between the lecturer and the participants. The lecture was conducted by displaying a slide that could show an image of a suspected cultural heritage at the Office of Education and Culture of Pematang Siantar City Jl. Merdeka, Pematang Siantar. The result achieved in this socialization is that participants consisting of government employees in the sub-district can recognize a number of objects that are suspected of being cultural heritage in their working areas. Sustainability of socialization means that sub-district employees are equipped with abilities, and are able to take action in the effort to preserve and manage cultural heritage, or those suspected of cultural heritage by the community to sub-district employees to be followed up. The mandate of the Pematang Siantar Mayor's Regional Regulation number 1 of 2021 can be applied.