Reviewerly/exHarmony huggingface dataset:
PERENCANAAN APLIKASI PENGENALAN HASIL PERTANIAN PADA MASYARAKAT KELOMPOK TANI DESA COMPONG KABUPATEN SIDRAP

Farming is a profession that produces food. Farmers generally cultivate the land with the aim of growing and maintaining crops such as rice, fruit, tubers, and so on. usually produce from agriculture for their own consumption or sale. Farmers usually sell their agricultural products to collectors, then the collectors sell the agricultural products to the shop, then the shop will sell it to the community. Application planning for the introduction of agricultural products to the community of farmer groups in the village of Compong Kab. The sidrap made can provide marketing media to farmers, where farmers can introduce their agricultural products to the community through applications. So that the farmers will easily introduce their agricultural products to the community. Where this application can be accessed by the community easily, the community can also find out the results, information about agricultural products from the village of Compong. Create applications using the PHP language program, and JavaScript. In its use, planning applications for the introduction of agricultural products to the community of farmer groups in the village of compong, kab. sidrap utilizes internet communication lines. The application can be used easily when you want to input agricultural data.
Aplikasi Sistem Informasi Geografis (SIG) Pemetaan Lahan Pertanian dan Komoditas Hasil Panen Di Kabupaten Sidrap Berbasis Web

One of the regencies in Indonesia, whose people are mainly engaged in agriculture is Sidrap (Sidenreng Rappang). However, it is still difficult to monitor and report agricultural products and production by relying on telephone and sms only to send information on agricultural products and production results due to the difficulty of users understanding the computerized systems provided such as using Microsoft Excel and Microsoft Word which are still difficult for some users, then the data sent only in the form of messages that are intended upon arrival to the relevant agency. Based on the above background, this study aims to create an Web-based Geographical Information System. This research method uses field research methods (Field Research) and literature review (Literature Study). &#x0D; The results of this study are a Web-Based Geographical Information System (GIS) Mapping Agricultural Land and Commodities Application in Sidrap Regency, namely this application can make it easier to handle the process of agricultural data collection and production results, with monitoring system data collection and data validation reported by the admin (extension officer).
DXVNet-ViT-Huge (JFT) Multimode Classification Network Based on Vision Transformer

Aiming at the problem that traditional CNN network is not good at extracting global features of images, Based on DXVNet network, Conditional Random Fields (CRF) component and pre-trained ViT-Huge (Vision Transformer) are adopted in this paper Transformer model expands and builds a brand new DXVNet-ViT-Huge (JFT) network. CRF component can help the network learn the constraint conditions of each word corresponding prediction label, improve the D-GRU method based word label prediction errors, and improve the accuracy of sequence annotation. The Transformer architecture of the ViT (Huge) model can extract the global feature information of the image, while CNN is better at extracting the local features of the image. Therefore, the ViT (Huge) Huge pre-training model and CNN pre-training model adopt the multi-modal feature fusion technology. Two complementary image feature information is fused by Bi-GRU to improve the performance of network classification. The experimental results show that the newly constructed Dxvnet-Vit-Huge (JFT) model achieves good performance, and the F1 values in the two real public data sets are 6.03% and 7.11% higher than the original DXVNet model, respectively.
Correlation of Bleeding Volume and Cognitive Function Impairment in Hemorrhage Traumatic Brain Injury

Background/aim: Traumatic Brain Injury (TBI) is a neurological emergency. When a traumatic brain injury occurs, there will be short-term and long-term effects that will affect the brain. This study was aimed to determine the correlation of bleeding volume and cognitive function impairment in hemorrhagic traumatic brain injury. Method: This study uses data collection methods in the form of interviews with samples which will later be presented in the form of analytical observational study. Consecutive data collection on TBI patients in poly and unit room medical neurosurgery at Sanglah Hospital from August – Oktober 2021. The questionnaire used to cognitive function impairment with Montreal Cognitive Assessment version Indonesia (MoCA-INA). Data analysis using SPSS Version 23 for windows. Results: A total of 42 subjects were divided into normal and decreased cognitive function The patients’ mean age was average 29 (17-49) years old, Man 62%, cases epidural hemorrhagic 50 %, subdural 38% and intracerebral 12%, and their mean Glasgow Coma Scale score at admission was 11.5 ± 1.7 and significant with OR = 0.1 (95% CI = (0.02-0.4; p = 0.003) were. Lesions were predominantly localized to the frontal (14 lesions) and temporal (10 lesions) lobes. Lobe lesion volume did not correlate with cognitive function. The volume bleeding average 10.43 (1-40) significant with p= 0.016 (OR 5.2 (95% CI (1.3-19.7). Conclusion: Bleeding volume in hemorrhagic TBI increased five times in volume &gt; 10 mL and GCS 9-13 first times came emergency room significant increased 0.1 times decreased function cognitive. Keywords: sleep quality, non-vegetarian, diet, serotonin, vegetarian
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention

Abstract The lack of data democratization and information leakage from trained models hinder the development and acceptance of robust deep learning-based healthcare solutions. This paper argues that irreversible data encoding can provide an effective solution to achieve data democratization without violating the privacy constraints imposed on healthcare data and clinical models. An ideal encoding framework transforms the data into a new space where it is imperceptible to a manual or computational inspection. However, encoded data should preserve the semantics of the original data such that deep learning models can be trained effectively. This paper hypothesizes the characteristics of the desired encoding framework and then exploits random projections and random quantum encoding to realize this framework for dense and longitudinal or time-series data. Experimental evaluation highlights that models trained on encoded time-series data effectively uphold the information bottleneck principle and hence, exhibit lesser information leakage from trained models.
The Development of Children's Story Website as Social Studies Learning Media for the Grade Four Elementary School Students

Based on the results of pre-research in the form of observations, interviews, and documentation conducted in the fourth grade of SDN Karanganyar 01 Semarang, it was found that the learning resources used by teachers were still limited and not varied. Teachers have not integrated technology into learning activities that should be implemented to support the success of 21st century learning skills. This study aims to develop and test the viability of children's story websites as social studies learning media in the grade four of SDN Karanganyar 01 Semarang. This research is a Research and Development (R&amp;D) study with the Borg and Gall development model. The instrument for data collection is in the form of a questionnaire validation sheet. Henceforth, the quantitative data was analyzed using criteria guidelines with assessment categories to determine the quality of the developed product. The validation results by the media expert validator get a percentage score of 87.5% in the very viable category, the validation results by the material expert validator get a percentage score of 95.3% in the very viable category and the validation results by the linguist get a percentage score of 95.3% in the very viable category. Based on the acquisition of the resulting data, it can be concluded that the children's story website as a social studies learning media for the grade four elementary school students is viable to use or valid. Keywords: children's story website, elementary school, learning media, social studies,
Pathways into, desistance from, and risk factors related to cyber-dependent crime: A systematic narrative review

Understanding cybercrime involvement is critical to tackle the growing global threat it represents. However, research is heterogeneous and scattered across different disciplines. Following the PRISMA-ScR guidelines, this systematic narrative review synthesizes 86 documents on pathways into, desistance from, and risk factors related to cyber-dependent crime (hacking, malware, and DDoS attacks), and identifies research gaps. Analyses indicate that individuals interested in technology and online videogames meet peers involved in hacking activities, learn from them, and begin to engage in cybercrime. Desistance is influenced by a cost-benefit analysis and maturing. We also identified 27 risk factors for cyber-offending, including being young, male, having low self-control and deviant peers, and frequently using the Internet. Lastly, we outline multiple research gaps.
The Dissemination of Metaverse from an Embodied Perspective and Its Shift Towards Human Physicality

The Metaverse is a digital society that seamlessly merges reality and virtual, where users take the form of digital avatars. As the Metaverse evolves, user consciousness may detach from physical bodies and exist autonomously in the virtual world. The Metaverse’s dual nature, both virtual and real, strengthens individual consciousness, but it can also lead to a dissolution of practicality and cognitive subjectivity. This prompts a reconsideration of the evolution of human nature, as the maturity and evolution of the Metaverse not only changes the fundamental structure of human existence but also alters corresponding methods of communication.
Research on the Collaborative Development of Business Administration Disciplines in Local Universities Based on the Construction of Scientific Research Platform

Scientific research is an important carrier in the discipline construction, and also the basis for the sustainable development of a discipline. There are deficiencies in the development of disciplines in local colleges and universities, which are reflected in the lack of coordination among disciplines, the insufficient support of scientific research for the construction of teaching staff and teaching reform, and the difficulty of disciplines to meet the current social talent demand, which also restricts the improvement of employment rate. This paper discusses the internal relationship between the construction of scientific research platform and discipline construction from the development process of business administration discipline, analyzes the factors restricting the development of business administration discipline in local colleges and universities, and proposes to build a high-level scientific research platform and strengthen the construction of characteristic disciplines or advantageous disciplines; Deepen the integration of scientific research platform resources, realize the cross-coordination among disciplines, and promote the transformation of scientific research achievements; Pay attention to the introduction and cultivation of high-level talents or leading talents, and build high-level research teams and other specific improvement measures.
COGNITIVE AGEING BETWEEN CUMULATIVE EFFECT OF LIFESTYLE AND CATCH-UP COGNITIVE INTERVENTIONS

Normal neurocognitive aging is characterized by its selective effect on the damaged neuronal regions and at the cognitive level. This heterogeneous nature constituted a strong motive for deepening the research on the causes of the emergence of interindividual cognitive differences within the same age group, helped by functional brain imaging techniques. The study starts from this premise and aims to shed light on the concept of "successful aging" from a neurocognitive perspective. This concept is at the center of attention of many researchers in various disciplines as it is related to two basic concepts: The firs concept is "brain reserve." It is related to people’s lifestyle, and is built and accumulated over the course of life through people's behaviours that are neurologically, and cognitively (reserve indicators) stimulated. The second concept is "Overdue reserve”. It is related to intensive cognitive interventions (indicators of Overdue reserve), as a catch-up and efficient mechanism that enables people with low levels of brain reserve to stimulate neuroplasticity, which contributes to enhance their cognitive performance. This study aims to explore the appropriate conditions, and effective ways, to help people develop functional neurological resistance against the decline that characterizes human cognition with advancing age. Hence, maintaining proper cognitive functioning contributes to improving the quality of life of seniors as well as enabling them to age healthily: psychologically, cognitively, and socially.
ՈՉ ՀԱՄԱՐԺԵՔ ԴԱՐՁՎԱԾՔՆԵՐԻ ԹԱՐԳՄԱՆՈՒԹՅՈՒՆԸ (ՀԱՅԵՐԵՆ ԵՎ ՌՈՒՍԵՐԵՆ ՕՐԻՆԱԿՆԵՐԻ ՕԳՏԱԳՈՐԾՄԱՄԲ) / TRANSLATION OF NONEQUIVALENT IDIOMS (USING ARMENIAN AND RUSSIAN EXAMPLES)

Authors analyse possibilities of translating idioms that do not have corresponding equivalents in the target language. In addition to existing methods described in literature, they propose translation by means of compensation within a narrow context. The substitute idiom should be chosen from the same phraseosemantic field, and thus, both semantic link to the original text and important stylistic level typical of idioms are preserved in the target text. The theory is demonstrated by examples of translation from Armenian into Russian and vice versa.
RANCANG BANGUN SISTEM INFORMASI SANTRI EL-BAYAN BERBASIS WEBSITE

Current technological developments play an important role in human life, especially in the world of education and Islamic boarding schools, because in such a short time and over such a wide distance information can be conveyed or received accurately and actually. At this time the El-Bayan Majenang Islamic Boarding School is still lacking in providing information to the wider community, namely only by using social media accounts. With the technology that is developing rapidly at this time, especially the internet, a website is designed at the El-Bayan Majenang Islamic Boarding School which is expected to help pesantren in facilitating the process of delivering information related to the scope of pesantren, especially to the general public.
Photographic evidence of dholes in Gunung Gede Pangrango National Park, Indonesia.

For many years the dhole was believed to have been undetected in Gunung Gede Pangrango National Park (GGPNP). Yet in 2012 and 2013, we were able to photograph this elusive creature. We report the photographic evidence of the endangered dhole (Cuon alpunus) using camera trap di GGPNP.
Analisis Implementasi Standar Nasional Perpustakaan Sekolah Menengah Atas/Madrasah Aliyah (SNP 12:2017)

This study aims to find out how SNP 12:2017 is implemented in the SMAN 6 Pandeglang Library. This type of research is descriptive with a qualitative approach. Data collection techniques in this study are observation, interviews, literature review, and documentation. The results of this study are as follows: first, SNP 12:2017 has seven standards, namely collection standards, infrastructure standards, service standards, library staff standards, implementation standards, management standards, and information technology standards. For librarians in the SMAN 6 Pandeglang library who have the academic competence of library education graduates, the SMAN 6 Pandeglang library only has one room for various library areas. There is a lack of administrators and librarians in the SMAN 6 Pandeglang library who have competence in the field of information technology. Third, the factors that support the implementation of SNP 12:2017 are complete facilities and infrastructure, sufficient time for service activities, and additions to collections carried out every year. Fourth, the process and level of achievement of SNP 12:2017 are not fully implemented and in accordance with SNP 12:2017. There are several aspects that have started to reach SNP 12:2017, including service aspects, implementation aspects, management aspects, and several other aspects. As well, there are several aspects that have not reached SNP 12:2017, including aspects of collection, aspects of information and communication technology, aspects of facilities and infrastructure, and several other aspects.
Listenapp: An AI-Based Mobile Application Platform for Auditory Learning

&lt;p&gt;In today’s fast-paced world, students and working-class individuals are increasingly replacing the written word with audio content – primarily podcasts and audiobooks. However, not all content is available in audio format. Print-first media like newspapers and textbooks remain unavailable to the growing group of consumers who prefer the spoken word for its accessibility while commuting, working, or otherwise unable to engage fully with a printed work. Automated text-to-speech solutions exist but read in a flat affect, which fails to communicate the emotions attached to the writing. This paper provides an insight into current solutions and limitations and explains how a mobile application framework is developed to overcome these limitations by using artificial intelligence, including natural language processing to parse meaning and the relatively new field of audio style transfer for speech generation to convert any written work into an audible, read in a voice chosen by the user.&lt;/p&gt;
Visual Storytelling and Narrative Experiences in Extended Reality: Guest Editors’ Introduction

Abstract Virtual, augmented, and mixed reality technologies offer unparalleled opportunities for embodied presence in immersive digital environments. While these platforms are primarily discussed regarding their technological capabilities for simulating fictional scenes or enabling interactions with virtual entities, their profound implications on storytelling and narrative comprehension remain underexplored. The narrative dimension is instrumental as factors like interactivity, stereoscopic displays, and user mobility define what details become available and in what sequence, generating each user's unique vantage point and experience. In order to address the limited theoretical and methodological accounts on immersive virtual storytelling, this special issue brings together multidisciplinary perspectives spanning engineering, psychology, neuroscience, anthropology, and digital activism. With the proposed novel conceptual frameworks, technologies, applications, and inclusivity initiatives, the contributions examine immersive visual narratives in an expansive manner. Thereby, this special issue aims to provide a novel understanding of how virtual, augmented, and mixed reality platforms can be leveraged to craft and experience narratives in profoundly immersive ways. By providing insights into how immersive qualities transform narrative comprehension, this special issue advances our knowledge of the complex relationship between story, technology, and the human experience.
Supplemental Material: Genesis of volcanic-hosted Cu vein deposits in the foreland fold-thrust belt, southeastern Tibetan Plateau: Insights from ore geology, C-O-S-Pb-Cu isotopes and fluid inclusions at Wenyu

&lt;p&gt;Table S1: Descriptions of samples. Table S2: Electron microprobe data and calculated formulas of sulfides from the Wenyu Cu deposit. Table S3: Microthermometric data of fluid inclusions. Table S4: In-situ oxygen isotope data for quartz at Wenyu. Table S5: In-situ sulfur-oxygen isotope data for sulfates at Wenyu. Table S6: In-situ sulfur isotope data for sulfides at Wenyu.&lt;/p&gt;
ADL: Anomaly Detection and Localization in Crowded Scenes Using Hybrid Methods

In recent years, video anomaly detection technology , which can intelligently analyze massive video and quickly find abnormal phenomena, has attracted extensive attention with the wide application of video surveillance technology . To address the complex and diverse problem of abnormal human behavior detection in surveillance videos, a surveillance video abnormal behavior detection and localization supervised method based on the deep network model and the traditional method is proposed. Specifically, we combined AGMM and YOLACT methods to obtain more accurate foreground information by fusing the foreground maps extracted by each technique. To further improve the accuracy , we use the PWC-Net technique to extract features of the foreground images and input them into an anomaly classification model for classification. The proposed method effectively detects and locates the abnormal behavior in the monitoring scene. In addition to the aforementioned methods, this paper also employs YOLOV5 and DeepSORT networks for object detection and tracking in the video, which allows us to track the detected objects for better understanding of the scene in the video. Experiments on the UCSD benchmark dataset and the comparison with state-of-the-art schemes prove the advantages of our method.
Standards to Secure the Sensors That Power IoT

Existing security standards do not always offer sufficient protection to secure the Internet of Things.
D2D Group Key Agreement Scheme for Smart Devices in HANs

&lt;p&gt;The home area network (HAN) is one of the most widely researched areas in recent years. HANs integrate 5G/6G networks and artificial intelligence technology to provide data services for home users. The devices in HANs collect and transmit data relating to users&amp;rsquo; daily activities for analysis by remote service providers. These data often contain a large number of users&amp;rsquo; personal privacy. The disclosure of these data could have far-reaching consequences for the privacy of the individuals involved. Some researchers are dedicated to investigating the authentication of smart devices by the system. However, the increased frequency of interactions between devices and gateways, as well as between devices themselves, is a defining characteristic of HANs. In this paper, a device-to-gateway (D2G) authentication scheme is proposed. Based on the authentication result, a partial key is generated for smart devices and the gateway. Finally, a device-to-device (D2D) group key agreement scheme is presented. The security and efficiency of the proposed scheme are proved according to the analysis.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;