Reviewerly/exHarmony huggingface dataset:
Implementation of Iot-Based Smart Farms for Optimizing Chicken Productivity and Product Digitalization to Improve Administration Quality

Lampung People Berjaya is one of the visions of the Lampung provincial government to fulfill conditions of safety, advanced culture, competitiveness and prosperity, so that to achieve this the government has one target, namely to move the agricultural and livestock sectors in Bumi Ruwai Jurai so that Lampung can become an agricultural locomotive. and livestock barns. Berkah Poultry Farm (BUF) is a broiler and stud chicken farm located in Jati Agung, South Lampung. The main problems that are a priority to be resolved are: 1) The temperature and humidity control device for the cage is still semi-automatic; 2) Management of daily livestock data is still done manually; 3) There is still low understanding of breeders and their employees regarding chicken farming. Based on the priority problems faced by partners, the solutions offered by the proposing team for this PKM scheme are: 1) Implementing Smart Farm: IoT-based Automatic Temperature and Humidity Control Device; 2) Implement Smart Farm: Web-based livestock data management application; 3) Providing educational training on livestock cultivation for breeders and all BUF employees. The results of this service are an increase in the ability of Berkah Unggas Farm employees as evidenced by pretest and posttest results, increased chicken productivity as evidenced by increased chicken weight and more accurate data reports on consistent temperatures.
Methodical Principles and of Digital Education: from the Experience of Teaching Philosophical Disciplines

The article is devoted to the study of digital education. The features of various forms of teaching academic and university disciplines, including philosophical ones, based on information technologies that enable distance learning are considered. The article analyses the peculiarities of cooperation between teachers and students in the digital education system, where living, real individuals function as media personages. It is revealed that such personages exist on the basis of digital visual anthropology, rather than the anthropology of bodily presence, which is the basis of traditional academic education. The article examines the methodical principles of digital, distance education – mediation, representativeness, and reflexivity – which make it possible to teach academic disciplines effectively at a distance. It has been found that the application of these methodical principles involves compliance with specific laws of digital education – proper digital behavior, legitimation of digital presentation, permanent digital movement as well as digital feedback. Both the advantages and disadvantages of digital education, especially for teaching philosophical disciplines, such as the history of philosophy and philosophical anthropology, are identified. It is revealed how teaching philosophical disciplines can be effective if the principles and laws of digital education are observed, but taking into account the requirements of the anthropology of presence, remains a basic prerequisite for any variant of the modern educational process. It is argued that overcoming this anthropology requires a radical «dematerialization» of participants in online education, which is not yet an achievable goal.
Literary Circle of Yunkers of the Nikolaev Engineering School (1906–1912)

Due to the lack of studies on the history of the literary circle of the Nikolaev Engineering School, this article is the first to examine its creation and functioning. The aim is to analyze the main forms of activity of the literary circle of this military-educational institution. In order to achieve this goal, data from the annual reports of the Nikolaev Engineering Academy and the school for the academic years 1906—1912 and other pre-revolutionary printed sources were collected. The results obtained show that a positive role in the organisational, library, publishing and methodological assistance to the circle was played by the command of the academy and the school, teaching, administrative and drill staff (N.A. Kryukov, F.I. Zubarev, V.V. Yakovlev, N.N. Polilov, V.F. Naidenov, etc.). This study has expanded the idea of the pedagogical activity of the famous Russian literary scholar, bibliographer, pedagogue F.A. Vitberg, who created the Literary Circle for the Junkers of the Nikolaev Engineering School, revealing for the first time this new page of its life, about the musical creativity of C.A. Cui, who wrote music on the poems of the cadets and successfully combined the composition of musical works with the teaching of military engineering. The names of the pupils of the school who took an active part in its fruitful activity during the mentioned period are established. The beginning of the literary activity of cadet B.V. Zhirkovich, who later connected his fate with literature and became famous as a satirical writer under the pseudonym I.K. Prutkov, is outlined. A brief characteristic of some works published in the “Collection of Literary Circle” No. 1 (St. Petersburg, 1907) and No. 2 (St. Petersburg, 1909) is given. The contents of both issues are presented.
Luca Galante on Platform Engineering

Presents a panel discussion on the topic of Patterns and Antipatterns for Enterprise Software Success.
NTNU-SINTEF SolarNet: A solar irradiation monitoring network at high latitudes

Abstract This study presents a monitoring network for solar irradiation at high latitudes, called NTNU-SINTEF SolarNet. The network collects, with a time resolution ranging from seconds to hours, solar irradiance data, e.g. global horizontal irradiation, diffuse horizontal irradiation, direct normal irradiation, global tilted irradiation, solar energy generation, which are required in solar irradiation modelling in built environments. The network will be used for specific applications, such as (i) anomalies detection, (ii) influences of ground albedo, and (iii) ageing/degradation of solar modules, that are described in this paper. Some characteristics that make the NTNU-SINTEF SolarNet relevant for solar energy research at high latitudes are identified: short distances among the sensors, the ease of data accessibility, the use of the same sensor typologies, and different solar module technologies. The research holds the potential to boost the solar energy digitalization, impacting on several aspects such as predictive and adaptive control strategies for energy management, design of renewable energy system, multi-scale optimization and efficient exploitation of solar energy.
Metode Penyelenggaraan Kuliah Studi Pasca Sarjana Post Pandemi: Mana Yang Lebih Memenuhi Kebutuhan Pasar?

The method of post-pandemic lecture delivery in postgraduate studies is an issue for educational institution management. Lectures will be delivered offline since the COVID-19 pandemic has subsided, and the conditions are recovering. Postgraduate students, especially working students, are protesting because they have to attend face-to-face lectures on weekdays for various reasons. This study aims to determine which postgraduate lecture delivery method meets the market needs (university students). The research method made use of Soft System Methodology (SSM). The FGD was conducted with twelve participants, classified into postgraduate students of Wijawiyata Management (full-time students), Young Executives (students with at least two years of work experience), and Executives (students with no less than five years of work experience). The research was conducted in March and April 2023. The results were analyzed using Role (clients, practitioners, and owners), Social (educational institutions and instructors), and Power (national policies and regulations) Analysis. This research shows that by rich picture and root definition, weekday online lectures and weekend (Saturday) offline lectures meet the market's needs and violate no Indonesian higher educational regulations. The findings also suggest that a combined lecture mode, offline and online, is more favorable to Master's degree students, hence the Indonesian government's rigorous encouragement for Distant Learning for various learning needs across the archipelago.
Class Schema Discovery from Semi-Structured Data

A wide range of applications has used semi-structured data. A characteristic of this type of data is its flexible structure, i.e., it does not rely on schema-based constraints to define its entities. Usually entities of a same kind (i.e, class) do not present the same attribute set. However, some data processing and management applications rely on a data schema to perform their tasks. In this context, the lack of structure is a challenge for these applications to use this data. In this paper, we propose CoFFee, an approach to class schema discovery. Given a set of heterogeneous entity schemata, found within a class, CoFFee provides a summarized set with core attributes. To this end, CoFFee applies a strategy combining attributes co-occurrence and frequency. It models a set of entity schemata as a graph and uses centrality metrics to capture the co-occurrence between attributes. We evaluated CoFFee using data from 12 classes extracted from DBpedia and e-Commerce datasets. We benchmarked it against two other state-of-the-art approaches. The results show that: i) CoFFee effectively provides a summarized schema, minimizing non-relevant attributes without compromising the data retrieval rate; and ii) CoFFee produces a summarized schema of good quality, outperforming the baselines by an average of 19% of F1 score.
Contextual Reinforcement, Entity Delimitation and Generative Data Augmentation for Entity Recognition and Relation Extraction in Official Documents

Transformer architectures have become the main component of various state-of-the-art methods for natural language processing tasks, such as Named Entity Recognition and Relation Extraction (NER+RE). As these architectures rely on semantic (contextual) aspects of word sequences, they may fail to accurately identify and delimit entity spans when there is little semantic context surrounding the named entities. This is the case of entities composed only by digits and punctuation, such as IDs and phone numbers, as well as long composed names. In this article, we propose new techniques for contextual reinforcement and entity delimitation based on pre- and post-processing techniques to provide a richer semantic context, improving SpERT, a state-of-the-art Span-based Entity and Relation Transformer. To provide further context to the training process of NER+RE, we propose a data augmentation technique based on Generative Pretrained Transformers (GPT). We evaluate our strategies using real data from public administration documents (official gazettes and biddings) and court lawsuits. Our results show that our pre- and post-processing strategies, when used co-jointly, allows significant improvements on NER+ER effectiveness, while we also show the benefits of using GPT for training data augmentation.
ANALISIS KEBUTUHAN PENGEMBANGAN VIDEO INTERAKTIF BERPADUKAN METODE BLENDED LEARNING MATERI MENULIS CERPEN SEKOLAH DASAR

This research was conducted with the aim of analyzing students' needs for interactive video learning media combined with blended learning methods for short story writing material. In this research, the subjects chosen were 30 students from class V of the 148 Palembang state elementary schools. The data analysis techniques used are interview observations and questionnaires consisting of a student needs analysis questionnaire which covers aspects of learning needs, learning media needs and material understanding needs. Based on the results of the questionnaire, 66.7% of students strongly agreed that video media was used in learning to write short stories rather than theme books. further based on the results of the questionnaire regarding whether the teacher has carried out short story writing lessons blended learning Of the students' opinion, 60% disagree and 6.7% strongly agree. So from the results of the research that has been carried out it can be concluded pStudents really need interactive video learning media so that they can support a flexible learning process that can be studied anywhere, especially in short story writing material with the aim of making it easier for students to understand the material being taught in accordance with the objectives to be achieved so as to improve learning outcomes.
PENGEMBANGAN EVALUASI BERBASIS DIGITAL MELALUI WEB WORDWALL PADA PESERTA DIDIK KELAS V SEKOLAH DASAR

This research aims to determine the feasibility and response of students to evaluation of digital-based learning via web wordwall for class V students. The research method used is Research and Development (R&amp;D) based on the Borg and Gall development design which has been modified into six stages, namely : analysis of potential and problems; data collection; product design; design validation; design revision; and test use. Based on the results of the analysis, media experts gave an average score of 84%, material experts gave an average score of 86% and language experts gave an average score of 81%. The average score obtained by all experts was 83.83% when interpreted as falling within the very appropriate criteria. Furthermore, supported by the calculation of the response questionnaire, students who carried out the evaluation obtained 96% results in the very good category. Thus, it can be concluded that the digital-based learning evaluation development product via the wordwall web is very feasible and very good to use as an evaluation tool in assisting the learning activities of fifth grade elementary school students.
PENGEMBANGAN MEDIA PEMBELAJARAN DIGITAL FLIPBOOK MENGGUNAKAN APLIKASI CANVA DALAM PEMBELAJARAN TEMATIK KELAS V SEKOLAH DASAR

This research is based on the problems found in students who have difficulty understanding thematic learning material and the lack of interest of students in learning is seen because during the learning process students only listen, see and record what is conveyed by the teacher. The results of research on the development of flipbook digital media are very useful and play an important role in learning activities at school so that students look enthusiastic and happy in learning. The purpose of this study was to determine the feasibility of the media and students' responses to digital flipbook learning media using the Canva application in thematic learning theme 3 sub-theme 2 healthy food for fifth grade elementary school students. This study uses the Research and Development (RnD) method according to Sugiyono with six stages of development namely potential and problems, data collection, product design, design validation, design revision, product trial (limited). The results of this study were 1) validation by media experts obtained an average of 89% in the very feasible category, validation by material experts obtained an average of 86.11% in the very feasible category and validation by linguists obtained an average of 79% in the feasible category; 2) the response of students as a whole obtains 95% in a very good category.
An Effective CNN-Based Method for Camera Model Identification in Privacy Preserving Settings

Recognizing information about the camera model of digital images has been identified as a crucial task in the field of image forensics. Numerous methods have been proposed for camera model identification (CMI), with recent emphasis on convolutional neural networks (CNNs) based methods for their better efficacy. However, current approaches generally consider original images without consideration to privacy preserving aspects. This paper introduces a novel CNN-based approach for CMI even in privacy preserving settings, where unlike conventional approaches, the training and evaluation is performed on encrypted images. For encryption, we consider position scrambling at pixel-level and we also present block-level position scrambling for better efficacy. Experimental results demonstrate the feasibility of our approach in terms of accuracy and privacy preservation. Furthermore, the experiments highlight the effectiveness of our CNN-based approach, having around 10% better accuracy in comparison to traditional statistical models for CMI of encrypted images.
PENERAPAN MODEL PEMBELAJARAN TEAMS GAMES TOURNAMENT (TGT) UNTUK MENINGKATKAN MINAT BELAJAR SISWA KELAS X DI SMA NEGERI 10 MATARAM

This study aims to find out the increase in interest in the application of the Teams Games Tournament (TGT) learning model in Biology subject to students X A Semester 2 at SMA Negeri 10 Mataram. The type of research used in this study was Classroom Action Research (PTK) with research subjects in class X A semester 2 at SMA Negeri 10 Mataram as many as 32 students. Meanwhile, the object of this study is students' interest in learning biology after the implementation of the Teams Games Tournament (TGT) learning model. Based on the results of the study it was found that during the pre-cycle implementation, the percentage of students who achieved a high learning interest was 46.88% of the total students, then in cycle I it increased by 9.37% to 56.25% and from cycle I to cycle II it increased by 18 .75% to 75%. Based on these data it can be concluded that the application of the TGT learning model can increase students' interest in learning biology.
Machine Learning for the Identification and Classification of Technical Debt Types on StackOverflow Discussions

In today’s fast-paced software industry, understanding and managing Technical Debt (TD) is crucial for software development. TD can compromise the long-term quality of software systems. The occurrence of TD is commonly reported and discussed by practitioners on Question and Answers (Q&amp;A) platforms, such as Stack Overflow (SO). Data from Q&amp;A platforms has been leveraged by the TD research community, most prominently regarding knowledge extraction. However, manual analyses of such data not only require considerable effort but also suffer from biases. Hence, this paper aims to propose an automated approach for identifying and classifying types of TD in SO discussions using machine learning (ML) and natural language processing. We divided our methodology into four main steps: i) data preprocessing, ii) application of natural language processing, iii) application of ML algorithms, and iv) computing the evaluation metrics for the proposed models. Our results indicate that ML algorithms have the potential to be successfully applied to automatically identify and classify TD types on SO discussions.We achieved a recall of 85% for test debt and a precision of 78% for design debt. Furthermore, the results of automated TD identification on SO benefit the software development community by enhancing solution quality, raising awareness of best practices, and facilitating collaboration among developers. This leads to more efficient development and the promotion of consistent standards. We make our entire dataset and pre-trained models available to encourage future research directions.
The Spectre of the Machine: Finding Space for Empirical Inventions in Patent Law

Abstract The spectre of the machine and the mechanical jurisprudence that accompanies it have dominated patent law for over a century. This article offers three examples where we can see the influence of the figure of the machine in patent law: in the way the history of organic chemistry has been viewed, in the way that the law first interacted with biological inventions, and finally in the way that many commentators think about AI-machine generated inventions. I end by offering a different way of thinking about inventions that allows us to move beyond the spectre of the machine to give space for more speculative empirical inventions.
Technology of computer reconstruction of archaeological finds, similar to objects of rotation (on the Example of a Ceramic Vessel).

The article proposes the technology of computer reconstruction of the most probable form of archaeological finds, if their shape is similar to objects of rotation. Reconstruction is carried out on a virtual 3D model — a digital copy of a real object obtained by photogrammetry. For reconstruction, it is enough to have a small area of a real object with well-defined radii of curvature. The smaller the plot, the more variants of the restored forms will be and the more they will differ from each other. The restored parts can be printed on a 3D printer and complement the existing object. This technology can help the researcher in reconstruction and in assessing the adequacy and geometric correctness of the products, he is restoring. This is especially important when a large volume of the reconstruction object is lost, when the restorer does not see the full geometry of the object. The proposed method is a special case of the method of mathematical modeling, the purpose of which is not to replace the experience of a specialist, but to provide him with a tool that allows him to delve more deeply into the essence of the studied phenomena.
Psycho-Analysis of Indian Woman in the Novels of Kamala Markandaya

Kamala Markandaya, as a follower of Virginia Woolf, James Joyce, Dorothy Richardson, and Henry James, delves deep into the inner workings of her characters to reveal their passions, goals, obsessions, pains, and struggles. Their life on Tuesday or Wednesday is not what it was on Monday or Sunday as various impressions come to their mind from all sides everyday. Chari, Ghosh, Sarojini, Dandekar, Rukmani, Nalini, Helen, Clinton, and others feel worried when they think about the past, the present, and the future. For the most part their previous events torment them and they have an existence of misery and hopelessness. While some impressions are trivial, others are as sharp as steel. As a novelist, she is highly conscious of the form and structure of each novel and hence avoids all useless impressions so as to give order and shape to the novel. She analyses her characters deeply, goes deep down into the inner workings of their mind and emotions. She brings out the struggle going on their mind. Her characters are reflective in nature. They suffer silently the arrows of pain and sufferings thrown by fate on their way. Markandaya displays some of her characters’ obsessions and agonies. She also puts them through travails and difficulties. The characters also go through the journey of attachment and detachment. Almost every aspect of human nature and emotions has been dealt with very minutely by Kamala Markandaya in her novels. Sometimes, she criticizes her characters too for their drawback. Her treatment of her characters is objective, fair, detached and unbiased.
CRIMINAL ACTS FOR EVENT ORGANIZERS ONLINE GAME TOURNAMENT ORGANIZERS WHO RECEIVE SPONSORSHIP FROM ONLINE GAMBLING SITES BASED ON INDONESIAN CRIMINAL LAW

Gambling is rife in the world of internet media, by utilizing social media as a means of promoting content containing gambling. However, in terms of enforcing the law on gambling crimes in Indonesia, the authorities seem selective. The existence of provides evidence for this event organizers who install gambling sponsors which are then held directly at offline venues and are covered and broadcast live on the YouTube platform and posted on the media. Instagram social. Even though if examined further, gambling is a crime that is very, very detrimental to someone, because online gambling players try to find money in any way to use it as gambling capital, including by committing crimes, such as theft, fraud and so on. Taking into account the problems described above, it is felt that there is an urgency to write research with the title of crime for event organizers. Organizers of online game tournaments that receive sponsorship from online gambling sites, with the formulation of the problem of gambling crime organizing online game tournaments that receive sponsorship from online gambling sites is a crime of gambling and criminal sanctions for event organizers who organize offline tournaments that receive sponsorship from online gambling sites.