Reviewerly/exHarmony huggingface dataset:
Analisis Resiko Kanker Serviks Menggunakan PCA-ANFIS Berdasarkan Historical Medical Record

Cervical cancer is the second highest disease in the category of women that accounts for the most deaths based on data from WHO. Based on data from the Global Cancer Observatory (Globocan), cervical cancer has a total of 36,633 cases with a death rate of 21,003 cases due to cervical cancer and is relatively high. People with this disease are often difficult to distinguish between healthy and not. So the purpose of this study is to discuss the diagnosis of cervical cancer using the Adaptive Neuro Fuzzy Inference System (ANFIS) and Principal Component Analysis (PCA) reduction to find the best accuracy in the diagnosis of cervical cancer. ANFIS is a system used for modeling based on fuzzy Sugeno, which considers the simplicity of computation. PCA is a method applied to express information expressed in data and specified in an alternative form. The amount of data used is 72 data with 10 features. Then the data is normalized and feature reduction is performed using PCA. After doing feature reduction by PCA obtained 4 influential features. Furthermore, analysis using ANFIS was carried out from the data that PCA extraction was carried out and which was not carried out. Then the accuracy test is carried out using the confusion matrix. The best result based on diagnostic accuracy is ANFIS using 91.67% PCA with the model obtained from the 3rd k-fold and the membership function type is trapmf, while the accuracy without PCA is smaller than using PCA, which is 86.67%.
Improved Ability to Deliver Negotiated Texts Through Articulation Learning Model

The purpose of this study was to improve the ability of the class X MIPA-I SMA Negeri 2 Gunungsitoli even semester consisting of 36 people to convey negotiating texts through the Articulation learning model. To achieve this goal, the researchers carried out Classroom Action Research with the implementation procedures were (1) planning, (2) action, (3) observation, (4) reflection. The results of data analysis from the knowledge test in the first cycle reached an average value of 61.33 with the lowest score 52 and the highest 72. The knowledge value in the second cycle reached an average value of 84.33 with the lowest score 72 and the highest score 96. The results of analysis of student activity observation data in the first cycle of the first meeting with an average of 46.79% and the second meeting 52.35% (predicate "Less") and the second cycle of the first meeting with an average value of 65.38% and the second meeting 80, 55% (predicate “Good”). The results of the researcher's observations in the first cycle of the first meeting with an average value of 50% and the second meeting of 68.75%. While the results of the researchers' observations in the second cycle at the first meeting was 81.25% and the second meeting was 93.75%. Based on the explanation above, it can be concluded that: the use of the Articulation learning model can improve the ability to convey negotiating texts for students of class X MIPA-I SMA Negeri 2 Gunungsitoli. The recommended suggestions are the results of this study can be used as a guide in teaching the material to convey negotiating texts.
Implementation of Deep Learning for Handwriting Imagery of Sundanese Script Using Convolutional Neural Network Algorithm (CNN)

Aksara Sunda becomes one of the cultures of sundanese land that needs to be preserved. Currently, not all people know Aksara Sunda because of the shift in cultural values and there is a presumption that Aksara Sunda is difficult to learn because it has a unique and complicated shape. The use of deep learning has been widely used, especially in the field of computer vision to classify images, one of the commonly used algorithms is the Convolutional Neural Network (CNN). The application of The Convolutional Neural Network (CNN) algorithm on sundanese handwriting imagery can make it easier for people to learn Sundanese script, this study aims to find out how accurate the neural network convolutional algorithm is in classifying Aksara Sunda imagery. Data collection techniques are done by distributing questionnaires to respondents. System testing using accuracy tests, testing on CNN models using data testing get 97.5% accuracy and model testing using applications get 98% accuracy. So based on the results of the trial, the implementation of deep learning methods using neural network convolution algorithms was able to classify the handwriting image of Aksara Sunda well.
Nonlocality, entanglement and quantum teleportation for mixed spin-1/2 states

The violation of Bell’s inequality in quantum mechanics implies that there exist nonlocality and entanglement. When the density matrix of a composite system cannot be written as a convex combination of the product of the density matrices of its subsystems, we say there exists entanglement. For pure states, the existence of entanglement always leads to the violation of Bell’s inequality. However, in the case of the mixed states, there may be entanglement, but Bell's inequality is not violated and in other words, the nonlocality is not manifested. In addition to Bell's inequality, quantum teleportation is also a manifestation of nonlocality. Quantum teleportation using entangled states is more successful than quantum teleportation with separable states. Therefore, the corresponding fidelity of teleported state with the initial state (in short, the fidelity) of the former is always greater than the fidelity of the latter. In this paper, for Werner's state, we will show that in a range of the related parameter, while the CHSH inequality is violated, the fidelity, which indicates the amount of success of quantum teleportation, is lower than the upper bound of the corresponding fidelity for states that can be simulated with a local hidden variable theory. Meanwhile, we will see that for Gisin's state with hidden nonlocality, filtering, which leads to the appearance of nonlocality and more specifically leads to the violation of the CHSH inequality, also increases the fidelity.
Deep fluid-mediated hypersolidus microstructures in the Bundelkhand granitoid, India

Mineral compositions record processes and conditions of crystallization (pressure, temperature, and volatile content) of magma (e.g., mixing, assimilation, degassing) [1].Here, we report the role of deep melt/fluid in developing syncrystallization microstructures in the ~2.6 Ga Bundelkhand granitoid.Primary microstructures in the rocks include euhedral oscillatory zoned and unzoned microcline, plagioclase (albiteoligoclase), euhedral plagioclase inclusions in exsolve microcline (Fig. A), and euhedral apatite.Euhedral amphibole, epidote and biotite are common mafic minerals.Rounded shape with embayed margins in feldspars, quartz, and amphibole are also present.'Recrystallization' of exsolve microcline, plagioclase, and quartz are common.Similar Rb, K contents, consistent ratios of immobile incompatible trace elements, and REE patterns of the samples rule out meteoric water action and/or near-surface alteration.There is no evidence of thermal metamorphic effects either.'Recrystallization' of microcline, plagioclase, and quartz occurred in hypersolidus conditions during crystallization of the magma and not products of subsolidus recrystallization.The temperature (716°-856°C) estimates and Ba contents (0.36-2.03 wt.%) across microcline show a sawtooth pattern.The FeO (3687-6770 ppm) and CaO (979-1623 ppm) contents also follow a similar trend in the same crystal.We attribute the compositional profile patterns in feldspar to thermal fluctuations linked to magma recharge in the crystallizing granitoid mush.Compositional variations in amphibole, particularly in terms of Fe 2+ /Fe 3+ at different depths, are also attributed to multiple recharge events to varying depths in the crystallizing mush.Smaller mafic patches/clots in granitoid crystallized at different P-T conditions bear physical evidence of quenched mingled mafic melt in crystallizing granitoid mush.Fine-dark green thin dykelets, along with feldspars and quartz margins and shear/fracture planes, are common (<15-20 in volume %) in granitoid.The dykelets show chlorite-like look (but not chlorite), and consistently yield high FeO (27-40 wt.%), but low total under backscattered electrons (~80-88 wt.%), interpreted as silicate-dissolved aqueous fluid.The high temperature fluid activity had mafic affinity likely of deep crust-mantle origin that mediated 'recrystallization' of minerals; restricted chemical exchanges may have resulted in amoeboid/rounded shape with embayed margins to earlier crystallized minerals.
Application of Serious Educational Games in the Educational Process in Bulgaria

The paper presents concepts for serious educational games and their use in the educational process. The entry of serious games in Bulgaria is in its initial stages, but it has already begun. One preferred educational game suitable for testing the knowledge used in our country is Kahoot. The use of humanoid robots for training purposes is considered. Students' opinions on the use of serious games and virtual learning are presented.
Comprehensive study of video steganography using convolutional neural networks using temporal redundancy

Steganography is a form of communication in which secret messages are hidden within or over something, not a secret. It can be applied to any digital data format, like text documents, images, audio, video, etc. The primary purpose of Steganography is to hide the existence of communication. Steganography is mainly used for confidential communication. where we even don’t want anyone know the existence of communication. over the past decade a lot of research has been done on image steganography due to their popularity but nowadays video is grabbing so much attention as it is so much popular in the social media sites either of short-form videos in Facebook or long-form videos in Youtube making the use of video in steganography. The author has given an overview of video steganography using Convolutional neural networks, which takes advantage of the temporal redundancy or inter frame correlation between the consecutive frames of the video by using the Temporal redundancy of a secret frame the cover frame undergoes less distortion and therefore that does not grab much attention. The paper concludes with the result which shows that the proposed model outperforms classic steganography methods.
Automated online learning system with virtual school attendance control

An integral part of the modern pace of life and success is the need for constant learning, learning new material for yourself. Currently, daily attendance at school or university is not enough, most of the time the student is obliged to engage in self-development. Separately, it is worth mentioning the epidemiological situation around the world, which dictates its requirements and repeatedly increases the relevance in creating online training platforms. The scientific novelty of the research is that the created software product allows not only to collect data, but also to create output documents, thanks to which it is possible to speed up the work of many processes and specialists. The task of improving the efficiency of online course development and automation of student attendance records through the introduction of an automated system is being solved. The purpose of this work is to analyze and study existing online learning platforms that allow you to post your own courses as a teacher, as well as to take and study them as a student. Based on the conducted research, develop your own training system that will automate and improve this approach to learning.
Pengaruh Penyuluhan Kesehatan Reproduksi Remaja Terhadap Kemampuan Kognitif Pada Siswi SMA Negeri 1 Tilango

This research was conducted in one of the high schools in Gorontalo Regency. The purpose of this study was to determine the effect of counseling on cognitive abilities about unwanted pregnancy in high school students. The research design used is an experiment with a pretest-posttest design with a control group design. Respondents in this study were 46 respondents who were divided into 2 groups, namely the intervention group as many as 23 respondents and the control group as many as 23 respondents. The results showed that there was a significant effect in the intervention group with a P-value of 0.000 &lt; (0.05), it can be concluded that counseling has an influence on students' cognitive abilitiesPenelitian ini dilakukan di salah satu SMA di Kabupaten Gorontalo. Tujuan penelitian ini untuk mengetahui pengaruh penyuluhan terhadap kemampuan kognitif tentang kehamilan tidak diinginkan pada Siswi SMA. Desain penelitian yang digunakan yaitu eksperimen dengan desain pretest-posttest with control group design. Responden dalam penelitian ini sebanyak 46 responden yang dibagi menjadi 2 kelompok yaitu kelompok intervensi sebanyak 23 responden dan kelompok kontrol sebanyak 23 responden. Hasil penelitian menunjukkan bahwa terdapat pengaruh yang signifikan pada kelompok intervensi dengan P-value 0,000 &lt; α (0,05), maka dapat disimpulkan bahwa penyuluhan memiliki pengaruh terhadap kemampuan kognitif siswa
2022-RA-1576-ESGO Deep-learning-based endometrial segmentation and automated immune profiling from histopathological whole slide images

<h3>Introduction/Background</h3> The rapid spread of the whole slide images (WSI) combined with deep learning models can shift the qualitative approach in pathology to the quantitative one providing evenly qualitative reports worldwide. The work aimed to explore the potential computed assisted diagnostics by automated subtyping endometrial lesions with further immunohistochemical (IHC) profiling of the malignant ones, as endometrium makes a significant part of pathologists’ practice. <h3>Methodology</h3> 721 endometrial samples for the deep learning model development and verification from the East Tallinn Central Hospital. The samples were reviewed and annotated by two pathologists and randomly divided into training and validation (271) groups; the training dataset was generated using Pathadin software. The EfficientNet-B5-based model was created as a four-class classifier (normal endometrium, hyperplasia without atypia, atypical hyperplasia, malignancy). In samples with malignancy, computer vision next detected the corresponding region on the IHC (ER, PR, p53, Her2) stained glasses and quantified it using pre-trained DeepLiif solution. DeeLiif was trained on the control samples provided with all the IHC glasses. <h3>Results</h3> The model is the first four-type classifier for histopathological WSI classification of endometrial lesions. Tested on 271 slides from a single medical center cohort, an AUC of 0.882 was achieved, mainly failing to distinguish between atypical hyperplasia and G1 endometrioid carcinoma. For IHC, total accuracy of 0.865 was achieved, primarily failing to analyze the membranous staining of Her2. <h3>Conclusion</h3> The algorithms successfully classified the samples and detected and analyzed the corresponding area on the IHC stained glasses, proving the concept that with proper validation and under the control of a pathologist can already be covering a part of daily routine. For further improvement, samples from different hospitals should be harvested, a model with precise diagnoses should be created, and the spatial shifting in the series of sections should be resolved.
Healthy Aging: A Proactive Model to Prevent Self-neglecting Behavior in Smart Homes

With a continuous and noticeable shift towards an aging population around the world, a drastic shift in elderly care is required. The older people experience significant decline in physical and mental capacity, which limits the ability to care for themselves. It can cause the self-neglecting behavior that include failing to take medications, neglecting personal hygiene, and not eating well. The research community has already made a shift towards the sensors technology and deep learning techniques to monitor the homes for effective interventions. In this paper, our aim is to further develop this research by developing a proactive model to prevent self-neglecting behavior in aging population. We proposed a deep learning approach, which is based on sequence modeling technique – long short-term memory (LSTM). The experiments are performed on publicly available real smart home dataset, where the residence was living alone. The standard performance metrics are calculated to ensures an acceptable performance for the deployment in the real-world setting. Three case studies are discussed to show the effectiveness of the proactive model to prevent the self-neglecting behavior. It is expected that our model may allow elderly individuals to remain independent in their own homes for longer time and reduce the burden on health care systems.
Instagram Feed to Teach Descriptive Writing

The study aims to know about the effect between before and after taught using the Instagram feed. This study used pre-experimental with non-parametric. The researcher used one-group pre-test and post-test design. In this research, the population consists of grade tenth SMK Sore Tulungagung and 15 students in one class for the sample. The researcher used Cluster Sampling. The instruments used in this study were tests and Instagram feed. The analysis of the data obtained using Saphiro Wilk, Levene Test, and Wilcoxon Test in SPSS 21.0. The finding of this research showed that the pre-test standard error mean is 0,235 &lt; 5,40, and the post-test standard error mean is 0,133 &lt; 8,47. The Asymp. Sig was 0,001, it was smaller than 0,05 (0,001 &lt; 0,05). It can be concluded that the hypothesis is accepted. This means that there was a difference between the results of learning descriptive text writing for pre-test and post-test. Overall, it might be concluded that using Instagram as a teaching tool for writing the descriptive text was a good idea. Teaching writing descriptive text using Instagram Feed was effective for students at tenth-grade SMK Sore Tulungagung for the 2020/2021 academic year
COVID-19: An opportunity to promote disruptive innovation in students of the semiotics course

The COVID-19 pandemic has had serious consequences in various sectors such as health, economy, and Education.The students of the initial, primary, and secondary level, as well as university in the month of March 2020 went to a total confinement and this generated changes in the way of providing education.In universities, the curriculum had to be adapted to the situation, which is why the semiotics course that studies the behavior of signs, sought to promote disruptive innovation in the works presented by students.This research reflects the themes addressed by the students and their creative capacity.
Challenges of Privacy in Cloud Computing

Now, cloud computing has grown from being a business concept to one of the fastest-growing segments of the information technology industry.Cloud computing is a group of resources, hardware, software, and services offered through the Internet or the network.Cloud also consists of five important characteristics, three service models and four deployment models.From the consumers' perspective, concerns about cloud computing security remain the essential inhibitors for cloud computing services, precisely related to the security and privacy issues of data in the cloud.This essay will go over .These difficulties include user data loss, data leakage, and privacy disclosure.A variety of cloud computing and service models are applied to boost an organization's investment returns, profit, and financial growth.For companies or governmental agencies to operate on the cloud, cloud computing offers a suitable environment and additional benefits or advantages.As a result, it has a number of problems with data security and privacy.The user's data are kept off-site and maintained by third parties.The consumers of cloud computing might be happy if the data are shielded from illegal access and misuse.Organizations and people who use the cloud are affected by the failure in data protection, which results in many challenges and problems, such as data theft.Concerns about privacy are also developing as "cloud computing" develops quickly and expands.For Open Systems and Internet applications, privacy has remained a touchy subject; the cloud suffers when discussing privacy.Adopting cloud computing services is only difficult because of privacy and security concerns.The challenges and solutions for cloud users and providers related to privacy and security are covered in this article.The document will provide researchers and security experts with information on privacy and security difficulties and solutions.
PEMILAHAN SAMPAH SEBAGAI SOLUSI PENCEMARAN LINGKUNGAN DALAM NAUNGAN KONSEP AL-SYATHIBI MENGENAI MAQASHID SYARI’AH

Humans as the caliph of Allah on earth are obliged to guard against mafsadah on the earth they live in. The accumulation of garbage at this time has become one of the mafsadah that needs immediate attention. This is due to population growth, economic growth and changes in people's consumption patterns. One of the problems it causes is the effect of greenhouse gases, which has become a global problem today, in addition to health problems and flooding. In this paper the author will analyze these problems through the concept of maqashid sharia according to Shatiby, where it is concluded that sorting waste is a solution to the problem of environmental pollution caused by landfills. Waste sorting is seen as a form of compassion for the earth and the environment. Without waste sorting, there will be mafsadah, namely the accumulation of waste without being able to be processed instantly even though the final disposal order cannot accommodate more waste. In the end, improper waste management can lead to illness, flooding and even death. This reflects the value of hifdz nafs and hifdz mal. Meanwhile, hifdz din is also found in waste sorting because waste sorting includes ihsan towards the earth, where al-Syathibi stated that ihsan is a form of hifdz din.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF MATERI POLA BILANGAN UNTUK KELAS VIII SMP

The purpose of this research is to produce interactive learning media for class VIII students' number pattern material that is valid and practical as one of the learning media for class VIII number pattern material so that it can make it easier for students to understand the lesson.. This interactive learning media uses the Plomp development model which consists of 2 stages, namely the preliminary research and prototyping phase. The subjects of this research were 9 students of class VIII SMPN 13 Padang. The instruments used are validation sheets and questionnaires. In this research, a valid and practical mathematical e-module was obtained. The e-module is valid with 83,88% results in the very valid category. A The results of the questionnaire for the student questionnaire, the practicality value of 84,79% was obtained in the very practical category. Keywords– Development, Interactive Learning Media, Practical, Valid