Reviewerly/exHarmony huggingface dataset:
Inexpensive Stereo System Using ReStereoNet for Disparity Map Estimation

The article presents an idea of developing an inexpensive stereo camera system to replace for 3D camera on mobile robots. The stereo system is built from two in-expensive camera installed in an 3D printed base. To gain disparity map from left and right images, the system applies PSMNET algorithm, a Convolutional Neural Network based method. The system with PSMNET performs better than traditional block matching algorithm in term of accuracy and robustness. The experimental results show possibility of using that camera system on mobile robot for autonomous navigation tasks.
Convergent autoencoder approximation of low bending and low distortion manifold embeddings

Autoencoders are widely used in machine learning for dimension reduction of high-dimensional data. The encoder embeds the input data manifold into a lower-dimensional latent space, while the decoder represents the inverse map, providing a parametrization of the data manifold by the manifold in latent space. We propose and analyze a novel regularization for learning the encoder component of an autoencoder: a loss functional that prefers isometric, extrinsically flat embeddings and allows to train the encoder on its own. To perform the training, it is assumed that the local Riemannian distance and the local Riemannian average can be evaluated for pairs of nearby points on the input manifold. The loss functional is computed via Monte Carlo integration. Our main theorem identifies a geometric loss functional of the embedding map as the $\Gamma$-limit of the sampling-dependent loss functionals. Numerical tests, using image data that encodes different explicitly given data manifolds, show that smooth manifold embeddings into latent space are obtained. Due to the promotion of extrinsic flatness, interpolation between not too distant points on the manifold is well approximated by linear interpolation in latent space.
The programme for overcoming correlationism in the book “Nihil Unbound: Enlightenment and Extinction” by Ray Brassier

The article provides a critical assessment of the project to overcome correlationism pre­sented in Ray Brassier’s book “Nihil Unbound: Enlightenment and Extinction”. Brassier is usually considered to be among the “speculative realists”, since the starting point of his philosophy in the 2000s was the struggle against correlationism. We argue that in terms of understanding correlationism, the philosopher was influenced by his colleague in speculative realism, Quentin Meillassoux. Meillassoux proposes to understand corre­lationism as philosophical approaches that focus on the relationship (correlation) be­tween the poles: subject – object, signifier – signified, noema – noesis, etc. Meillassoux reproaches correlationists for not thematizing a reality independent of thinking, without which correlation itself would not exist. Meillassoux’s pathos is justified, since correla­tionism narrows the field of philosophical research, but Meillassoux himself cannot get rid of correlationism. Ray Brassier undertakes this task, drawing on the ideas of Wilfrid Sellars, Alain Badiou, and especially François Laruelle. Some natural-science theories also receive an anti-correlationist interpretation in Brassier’s book. Thus, the philoso­pher appeals to modern neurophysiology and eliminativism, as well as to cosmological physics. Based on the results of the study, it is concluded that Ray Brassier fails to over­come correlationism. The philosopher does not offer a convincing anti-correlationist in­terpretation of the ideas of Sellars, Badiou and Laruelle, and also does not justify the ap­peal to modern natural science. In addition, we come to the conclusion that the desire to oppose correlationism is productive, and for this, philosophy should shift its attention from correlation to the everyday pressure of reality itself, which the human subject can­not get rid of.
Determination of the Availability and Variation of Surface Downwelling Shortwave Radiation in Saudi Arabia Using EUMETSAT Satellite Imagery

Solar energy is expected to be a viable alternative sustainable energy source in the near future due to diminishing fossil fuel resources and escalating changes in the climate. Surface Downwelling Shortwave (SDS) radiation is an important component for the characterization of energy deposition of the earth’s surface. The monthly means of SDS radiation for Saudi Arabia were extracted from EUMETSAT (SARAH-2.1 climate data record) between 1983 and 2022. The country experienced the lowest level (188 ± 40 W m-2) of SDS radiation in the winter season with a range of 67-271 W m-2. The summer season in Saudi Arabia has the highest level of radiation with a mean value of 304± 27 W m-2, which is 1.62 times the mean of the winter season. The region experienced the highest (10.6 W m-2/10y) and lowest (-10.80 W m-2/10y) levels of a statistically significant upward and downward trend in SDS radiation during the spring and summer seasons respectively in the first decade of the 21st century (2001-2010). During the spring season, there was an upward trend in the availability of SDS radiation across the region, with a magnitude of 3.8 W m-2/10y with a 99% confidence level. In contrast, there was a downward trend in SDS radiation in the summer with a magnitude of 1.0 W m-2/10y with a 90% confidence level followed by the autumn season when the trend was lowest (-0.45 W m-2/10y) and statistically non-significant.
Application Of The ROI (Region Of Interest) Color Method Using A Bounding Box Approach To Detect Caries On Dental Images

Caries detection system on radiographic image detection is widely used in medicine, especially dentistry. Dentists currently perform caries detection. It becomes less accurate in determining the diagnosis because of the limitations of human vision, then needs something to help the system detect dental caries in the image. This system could be used more effectively and efficiently than with manual detection. Detection of the dots is one of the high-contrast detection caries (tooth unhealthy) and could be one substitute detection manually by a dentist. Teeth image processed with some image processing stages such as grayscale, binarization with men over image into two values​​: black and white, morphology (thresholding) bright object floating on a dark background, ROI (Region of Interest) Color, and bounding box approach (to label images which has a white contrast to facilitate detection). Image of the tooth that has been grayscale and binarization, then do the ROI (Region of Interest) with the Color Boundingbox approach. Training results using test data 10 tooth image system has an accuracy rate of 80% is good enough.
Impact of True Essence of Mahabharat and Gita on Education

ABSTRACT One of the most read texts in Hinduism is the Bhagavad Gita. The Holy Gita is regarded as India's greatest global gift. It includes of Arjun receiving a values-based education from Lord Krishna after he became upset at seeing his relatives fighting in Kurukshetra. Arjun's innate virtues are reawakened by Krishna, who also inspires him to follow the correct path. It may have an impact on everyone in every field. For pupils to stay on the correct path and achieve sublimity in our ultramodern day, its ideals are crucial. The researcher's goal in this study paper is to determine how the Bhagavad Gita applies to the current state of education.
ESSENTIAL FEATURES OF THE NATIONAL OLYMPIAD MOVEMENT IN RUSSIA

Introduction. School Subject Olympiads are academic competitions held worldwide on an annual basis. Interest in competitions aimed at developing creative abilities within the framework of research activities is manifested in more than 100 states. The relevance of the study is due to the increasing mass participation in intellectual competitions and high stakes in the form of academic bonuses for admission to institutions of higher education. Purpose. The purpose of our research is to study the specific features of the Olympiad movement in Russia, on the basis of which common hallmarks of Olympiads are distinguished. Materials and methods. Methodologically, we rely on the principles of systemic, activity, axiological and cultural approaches. The theoretical methods of research include the study of scientific literature on the topic, generalization, classification; empirical methods include content analysis of test materials and study of the regulatory framework for Olympiads in the Russian Federation. Results. As a result of our research, we managed to point out the essential characteristics of the Olympiad as a pedagogical phenomenon, while determining the essence of this intellectual competition. Conclusion. Thus, the study highlights the features of the Olympiad as a pedagogical phenomenon. Theoretical significance is refracted in the nomination of the original definition of the Olympiad, which is based on the features of the modern Olympiad movement in Russia. Practical significance lies in the ability to rely on the results obtained in further studies, as well as to operate with an updated term in the regulatory documentation.
Pengaruh Model Pembelajaran Problem Based Learning Berbantuan Media Animasi Terhadap Minat dan Hasil Belajar Siswa

Using appropriate learning models is important in education. However, sometimes this aspect is often forgotten. So that it gives the impression that education practitioners are only "merely" teaching without considering the effectiveness of learning outcomes so that students can properly understand the material that has been prepared. So, the fundamental goals of education as mandated by the constitution cannot be achieved, especially during the current era of information technology disruption. Technological media's effectiveness can be an advantage if used appropriately as a learning media facility. This research aims to determine the effect of the problem-based learning model assisted by animation media on student interest and learning outcomes. The research method applied is experimental. The experimental design used by the researcher was a quasi-experiment which took a nonequivalent control group design.
EDUKASI DAN PENDAMPINGAN CALON PENGANTIN TENTANG KESEHATAN KELUARGA DAN KESEHATAN REPRODUKSI SEBAGAI UPAYA OPTIMALISASI PERSIAPAN KESEHATAN CALON IBU DI WILAYAH KUA KABUPATEN BANJAR TAHUN 2023

Digitalization has been adopted by the education sector. Successful adoption requires leadership that understands IT strategy. SMKN in Karawang is a vocational-based educational institution that tries to implement link and match with industry and has tried to encourage successful technology adoption. The concept of digital leadership has become part of the framework that can guide organizations to be successful in adopting and utilizing technology, so that they can achieve their vision optimally. This community service activity aims to develop digital leadership competencies for school structures. This service procedure is carried out by evaluating the ability to adopt technology in schools, which is then explained regarding digital leadership development strategies. This activity was attended by 23 SMKN schools in Karawang Regency with a total of 46 participants. The results of this service were able to provide inspiration for school structures to digitize all existing processes in schools. Apart from that, the understanding absorbed by the participants can be used as material in preparing a school development strategy plan
MENERAPKAN PEMBELAJARAN SEJARAH BERBASIS DIGITAL DI SMAN 2 ROKAN IV KOTO

Information technology that has developed so rapidly in the era of globalization has had an impact on various field, one of which is the field of education in implementing digital-based learning media. This application is carried out to provide students with understanding and interest in understanding history learning. In this activity understanding and skills are required so that Universitas Riau Community Service Student teach at SMAN 2 Rokan IV Koto with the aim of introducing digital-based history learning using the method of providing educational videos about Indonesia History during the period of Imperialism and colonialism as a starting point in understanding history. The conclusion of this activity shows that students can understand the impact on colonized nations and the implications for the development of the modern world. In addition, teaching about colonialism and imperialism can also help student understand contemporary social and political issues related to colonial heritage
SOWANS E-TB Application Innovation on Quality of Life and Medication Compliance in MDR-TB Patients

Background: Tuberculosis (TB) is a direct infectious disease caused by Mycobacterium Tuberculosis. WHO reported that during 2014 – 2016, almost 89% of the world's population suffered from TB. Furthermore, the 2017 WHO report showed that there were 14 countries in the world that experienced a double burden of TB such as sensitive TB, MDR-TB and TB/HIV. WHO estimates that there are 23,000 cases of MDR/RR in Indonesia. Purpose: The general aim of this research is to determine the effectiveness of the telemedicine system on the quality of life and medication adherence of MDR-TB patients. Creation of the SOWANS E-TBS telemedicine system in the form of an application and website that helps treat MDR-TB patients. Methods: This research method is quasi experimental. Where a treatment group and a control group will be formed. The treatment group will be given the E-TB SOWANS application. Then compared with the control group. Both groups will be given quality of life questionnaires and medication adherence before and after treatment. Results: The distribution of MDR TB patients based on the intervention and control groups showed that 20 MDR TB patients received treatment (53.6%), while the number of patients in the control group was 18 people (47.4%). MDR TB patients based on treatment compliance showed that MDR TB patients who had non-adherence to treatment were 11 (28.9%) patients, and those who were adherent to treatment. Conclusion: Based on the research results and discussion by referring back to the problem formulation and hypothesis, it can be concluded that there is an influence of the E-TBCS application innovation on the quality of life of MDR-TB patients. Current advances in technology 4.0 can help improve the quality of life of MDR-TB patients. Keywords: Application; Telemedicine; Counseling; SOWANS; Tuberculosis
Enhancements of Visual Secret Sharing with Quick Response Codes

Visual secret sharing is the method for distributing a secret among a group by using images which can be seen by user groups. Each group holds a share, and with the sufficient amount of shares, the secret can be obtained. When the number of shares is below the threshold, secret would be unable to be acquired. We consider using the quick response (QR) codes, which can be captured by camera phones, to produce the shares for visual secret sharing. With the conventional method, reconstructed QR code can be captured and linked to the webpage while receiving insufficient number of shares, implying the leakage of secret. With our method, sufficient number of shares should be obtained to make the reconstructed QR code possible of delivering the information therein after capturing with the mobile phone camera. Hence, the security with visual secret sharing can be assured.
An interactive nuclei segmentation framework with Voronoi diagrams and weighted convex difference for cervical cancer pathology images

Abstract Objective.&amp;#xD;Nuclei segmentation is crucial for pathologists to accurately classify and grade cancer. However, this process faces significant challenges, such as the complex background structures in pathological images, the high-density distribution of nuclei, and cell adhesion. &amp;#xD;Approach.&amp;#xD;In this paper, we present an interactive nuclei segmentation framework that increases the precision of nuclei segmentation. Our framework incorporates expert monitoring to gather as much prior information as possible and accurately segment complex nucleus images through limited pathologist interaction, where only a small portion of the nucleus locations in each image are labeled. The initial contour is determined by the Voronoi diagram generated from the labeled points, which is then input into an optimized weighted convex difference model to regularize partition boundaries in an image. Specifically, we provide theoretical proof of the mathematical model, stating that the objective function monotonically decreases. Furthermore, we explore a postprocessing stage that incorporates histograms, which are simple and easy to handle and prevent arbitrariness and subjectivity in individual choices. &amp;#xD;Main results. &amp;#xD;To evaluate our approach, we conduct experiments on both a cervical cancer dataset and a nasopharyngeal cancer dataset. The experimental results demonstrate that our approach achieves competitive performance compared to other methods. &amp;#xD;Significance. &amp;#xD;The Voronoi diagram in the paper serves as prior information for the active contour, providing positional information for individual cells. Moreover, the active contour model achieves precise segmentation results while offering mathematical interpretability.
Blockchain Based MediChain System Connecting Pharma, Medicals and Patients Together

Abstract: In today’s world almost all hospital uses hardcopy for patient data store and for booking appointment. All patient data is available on paper and user need to manage that all over he goes. Consider ’A’ patient got admitted in City Pune, all his data is stored on paper and what medicines he took. All the info about his health is stored there. After someday ‘A’ patient gone to another city far away without carrying any documents and there he got and health emergency and is not in condition of speaking and need urgently help. But due to lack of info available about patient doctor could not urgently take decisions. So, to reduce this risk our system is developed.
Распределенное научное познание – на пути к разнообразию

The author explores to the conditions for implementation of science as a public good and connects these conditions with the problem of epistemic injustice. She proposes the hypothesis that in order to implement science as a public good or actualize it as a source of diversity, it is necessary to focus theoretical attention on the concept of distributed scientific cognition and allow for the possibility of relevant practices. The rules of distributed scientific cognition practices can and should ensure both the epistemic constructiveness of science and its epistemic justice, legitimizing the openness of access to scientific cognition distributed outside the scientific community. The text reveals the main characteristics of the concept of distributed cognition, introduced by E. Hutchins. The author proposes additionally take into account two meanings of distributed scientific cognition – extensive and intensive. The first refers to the possibility of unlimited addition of participants in cognition with a reasonable relevance of their positions. The second opens up the perspective of working on a distribution that has not yet happened and suggests that any epistemic position can be distributed. She also demonstrates the applicability of the concept to relevant scientific practices related to both professional scientific communication and public communication of science.
Репрезентационализм и природа ментальных состояний

The paper explores representationalist theories of mind in the context of the mind-body problem and the hard problem of consciousness. The mind-body problem is related to the substantial dualism, according to which there are two independent types of objects – physical and mental. For a materialistically oriented metaphysics, such a dualism was unacceptable. In the second half of the twentieth century. a new version of dualism appeared – the dualism of properties. Its essence lies in the fact that it is not the existence of mental substances that is affirmed, but the existence of phenomenal properties of experience that are irreducible to physical and functional properties. The dualism of properties is associated with the hard problem of consciousness – why are certain neurophysiological processes accompanied by a qualitative experience? The problem of a naturalistic explanation of the phenomenal characteristics of experience has become a new threat to naturalistic metaphysics. The first part of the work analyzes the philosophical context of the formation of cognitive science. It is shown how functionalism and representationalism became the two main philosophical positions that underlie this discipline. The second part deals with an attempt to solve the mind-body problem through the naturalization of intentionality. It is shown that teleosemantic representationalism, within the framework of which this naturalistic project was implemented, is not able to explain the phenomenon of misrepresentation, which plays a crucial role for the idea of representation as such. The final part of the study evaluates an attempt to answer the hard problem of consciousness by reducing the phenomenal character of experience to representational content. The author demonstrates that such a reduction leads to an ontology with non-instantiated properties and non-existent objects, which is an undesirable consequence for a physicalism.
Generating Smooth Interpretability Map for Explainable Image Segmentation

Interpreting decisions made by deep neural networks (DNNs) has recently received wide attention. Specifically, this field is advanced to reveal the black box of the decisionmaking process of DNNs to facilitate reliable real applications. One recent method, U-Noise, realizes this by introducing an additional model to interpret the image segmentation process. By assuming that important pixels for segmentation should not be hindered by noise, such a model learns a noise mask as an interpretability map to identify which pixels can be added with noise. However, U-Noise regards all pixels independently during noise mask learning, which can cause the interpretability map to be less smooth and continuous. In this study, we propose a smoothing loss to better guide interpretability learning. It works by introducing a new assumption that important pixels for segmentation are also likely to be spatially close. We draw inspiration from the bilateral filter to design the smoothing loss, which enables a two-fold smoothing strategy with regard to the spatial location and pixel intensity. Experiments on a medical image segmentation dataset demonstrate that our method can generate a smoother yet more accurate interpretability map than prior methods.
PENERAPAN METODE MEMBACA NYARING UNTUK MENINGKATKAN KEMAMPUAN MEMBACA SISWA KELAS 1 SD NEGERI PURWAKARTA I

Abstract&#x0D; Reading ability is a child's ability to recognize letters and words, then connect them with sounds, and understand the meaning of the writing they read, which begins with the ability to hear the letters correctly and precisely. The reading aloud method or reading aloud is an activity carried out to improve reading and listening skills. Because with this method all students in the class will pay attention to the reading material and it can be a stimulant for students. This study used descriptive qualitative method. The qualitative descriptive method is a form of research aimed at describing or illustrating existing phenomena, both natural phenomena and human engineering. The data collection techniques used were interviews, observation and documentation, with the subjects being class I students at SD Negeri Purwakarta I, totaling 33 students. The results of this research show that applying the reading aloud method can effectively improve students' reading abilities.&#x0D; Keywords: Reading Ability, Reading Aloud Method