Reviewerly/exHarmony huggingface dataset:
Total Ankle Replacement Digital Templating Method

Total ankle replacement (TAR) requires a step in the pre-surgery planning procedure that can help in determining the most suitable size for the implant. In recent years, digital implants of a size that is suitable for the patient have been widely used in the process of joint replacement surgery for hip and knee joints. Many patients have experienced traumatic damage to the ankle joint, and pre-surgery planning is currently still at the stage of using acetate templates and radiographs, which can cause errors in the surgical procedure. Therefore, a method of determining the implant size by trial and error needs to be developed so that pre-surgical planning can be implemented effectively. In this study, the Orthopaedic-TAR (OrthoAnkle) system is developed using Java software and is supported by Adobe Photoshop. This system allows a surgeon to determine the size of the implant effectively. The components involved in ankle joint replacement are Hintegra implants, designed using AutoCAD. In this way, the size of the Hintegra implant is determined based on the damage to the patient's ankle joint. DICOM X-ray images for several patients were randomly selected to test the accuracy and effectiveness of the size of the implant. A suitable size of implant can facilitate the surgical procedure and reduce damage to the implant after surgery. The results of this study, and particularly the model constructed here, contribute to the templating of digital implants for total ankle replacement. The results of the prototype test show a good response and a high level of effectiveness.
Update from the Standards Vice President: Cloud

<fig orientation="portrait" position="float" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <graphic orientation="portrait" position="float" xlink:href="devli-3032329.tif"/> </fig> “We are now cloud first” is a phrase I started hearing in late 2019, and now it is becoming increasingly common. It means different things to different people. Some organizations have chosen a specific cloud provider and that is the cloud for them. Other organizations work with multiple cloud providers to avoid the risk of single critical dependency in their business. Some organizations define cloud as no longer needing to own a data center, whereas others believe it to be a total dematerialization of infrastructure. Along with these technical definitions, I also hear derived business definitions such as cloud is rental rather than purchase and that “the cloud is infinite flexing of my business without capital overheads.”
Digital Transformation of the Processes in Lifelong Learning in the Institute for Postgraduate Studies at the UNWE

The main questions in the article concern the digital transformation in lifelong learning, what we have to know and be able to do in order to carry it out, as well as the main pedagogical and socio-psychologic aspects. The premises of successful digitalization of the studying process in the Institute for Postgraduate Studies (IPS) at the UNWE are also included in the paper. The most important once include the use of the distance learning method and participation in many international projects and mobilities in the same area. The emphasis is put on the creative thinking and acting of lecturers and administrators in contemporary and effective studying in the IPS.
Edukasi Budidaya Black Soldier Fly (BSF) dalam Rangka Menciptakan Lapangan Kerja Baru dan Solusi Permasalahan Sampah di Area Pasar Manis Ciamis

Waste becomes a problems if not managed properly, moreover comes from market activities whose are always there every day. Youth of Al Hilal live near "Pasar Manis" in Ciamis District, West Java, which some of the members do not have jobs. One of the activities in an effort to bring income is to cultivate the BSF (Black Soldier Fly), as a new breakthrough in providing cheap protein sources for animal feed and fish. This community service activity aims to provide education and management services for BSF cultivation in order to be able to utilize the economic potential of organic waste management and cultivation results. The method of activity is in the form of community education and BSF cultivation iptek with 34 participants. Generally, the results provide a new alternative to get income and improve skills in BSF cultivation so that is better in its management. Then an increase in understanding of the prospects, economic, social and environmental benefits so that it becomes an alternative solution in obtaining income and reducing the problem of organic waste in the surrounding area. The response of activities obtained by 88.2% greatly increases knowledge; 8.8% enough to add knowledge; and 2.9% are mediocre.
REFLEXIVE ABILITIES TO SELF-REGULATION AS A COGNITIVE COMPONENT OF PERSONALITY’S PSYCHOLOGICAL WELL-BEING

The article is devoted to the theoretical and methodological investigation of the problem of the features of the reflexive abilities to self-regulation and the skills of students, which they use in the process of solving the problem, at the cognitive level of functioning of the reflective experience. Together with the theoretical analysis of scientific work related to the study of this topic, in the article we tried to operationalize them, that is, to select indicators that reflect the quantitative aspects of their formation, and to empirically determine the levels of students' ability to self-regulate and cognitively. To determine the significance for students of the development of reflexive abilities to self-regulation, we used the scale "Tasks for the development of self-regulation abilities" from the methodology "Life tasks for self-development", developed by O. Savchenko and Y. Domanova, with which help determine the level of actualization of students' tasks through the regulation at the current time on the appropriate scales. Using the method of O. Savchenko "Reflexive skills (cognitive level)" the generalized indicators of the average values of reflexive skills of the cognitive level were defined on such scales as "Ability to explain to yourself and others the course of their reasoning" emotional experiences, control their course, maintain a sense of confidence", "Keep yourself in the scope of reflections and analyze the reasons for their own actions, causes of failures", "Ability to organize the work the search for a solution, test their assumptions", "Ability to evaluate results by different criteria", "Ability to be aware of various aspects of the course of decision-making processes: cognitive, emotional, behavioral" and the overall level of development of reflexive ego skills. From the obtained data we can conclude that the students on average have the lowest assessment of their reflexive cognitive skills on the scale "Ability to evaluate results by different criteria, formulate evaluative judgments". The overall level of students' reflexive cognitive skills is medium.
Secured Service Chains Tuned Resource Sharing using Nsdp

In the current network area, cloud service providers offer infinite storage space and computing power for users to manage their data in the cloud. To enjoy these services, individuals or organizations store their private data on cloud servers. However, in the case of security breaches, users’ private data stored in the cloud are no longer safer. When users outsource their data to cloud servers, they expect complete privacy of their data stored in the cloud storage. To enjoy these services, individuals or organizations store their private data on cloud servers. The semantic-based keyword search over encrypted cloud data becomes of paramount importance. Protecting the privacy and data of users has remained a very crucial problem for cloud servers Additionally, the existing approaches only process them as single words, the flexibility of the encryption policy and the description of users’ rights, and it changes from a one-one to one-many scenario during the encryption and decryption phases, calculation method to measure the semantic similarity between compound concepts. Keyword has been widely used in many scenarios, particularly in cloud computing. In this Project in the proposed scheme we use the trusted authority to generate the trapdoor .The generated trapdoor will be send to the user's e-mail ID, the user will search.
Prediction Landslide Location Area Using ANN (Case study in Bangli Regency, Bali Indonesia)

Landslides are significant geo-hazards heavily impacting many regions of the world regarding human lives and economic losses. The large magnitude of natural forces involved in landslides makes actions of mitigation or prevention unfeasible, with exceptions for minor occurrences or under special conditions. Many old methods have been applied in landslide management and/or prediction, such as overlays or weighting methods. The newest/advanced methods are still being developed and one of the newest methods is Artificial Neural Network (ANN). ANN are biologically inspired computer programs designed to simulate how the human brain processes information. Many types of ANN exist; the most famous one is Multilayer Perceptron (MLP) Neural Network Algorithm with FeedForward model. MLP consists of three parts: the input layers as neurons representing the value of data; the hidden layer, which demonstrates the network training process; and the output layer, which provides the prediction of the landslide areas. In this research, the input layer consists of landslide location characteristics, such as the rainfall intensity, land cover, slope, geological types, and rate displacement of landslides. As a case study, Bangli Regency was selected. In 2017 there was a landslide disaster in the Kintamani District, Bangli Regency, which resulted in dozens of people missing or dead, and several houses destroyed. In this study different numbers of neurons were used in the hidden layer (15, 50, 100, and 150 neurons). The best performance is obtained at 150 neurons, with 0.9677 (96,77%) for the test set.
Ballot Ontology

The US Presidential Election of 2000 was crucially decided in Florida. And, in Florida, the election might have been decided crucially by the question: is a dimple a hole? “Yes, it is”, so dimpled ballots are valid and ought to be counted. “No it isn’t”, and dimpled ballots must be rejected as invalid. If only one knew the answer! Where were the hole experts when we needed them? Eventually the manual recount was stopped by the Supreme Court. But we did learn something. We learned that even the destiny of a Presidential Election, if not more, might ultimately depend on one’s criteria for identifying holes—not their material surroundings, which everyone could detect, but the holes themselves.
Expert System of Pest Diagnosis in Passion Fruit Plants using the Bayes Theorem Method

Purple passion fruit has the common name granadilla or passion fruit (English), passion fruit (Indonesian), including in the family Passifloraceae. It is estimated that there are 500 species of Passifiora in the Passidoraceae family, one of which is the form of edulis or purple forma known as purple passion fruit, which includes this form is acid passion fruit with purple fruit skin (purple) also called cucumber or purple passion fruit (P. Edulis f. Edulis Sims). Purple passion fruit passion fruit can only grow and develop well in subtropical and tropical highlands. This application is based on mobile with the Android operating system by utilizing the expert system of the Bayes Theorem method. With the Bayes theorem method implemented in the Application of control of passion fruit plants in order to make it easier to do an initial diagnosis without having to spend a lot of time calling a plant expert in the field of passion fruit plants. The characteristic of the Bayes Theorem method is that the Bayes Theorem is used to calculate opportunities in a hypothesis, by determining the probability value of the expert hypothesis and the evidence value obtained from the diagnosed object, then calculating the probability value. The expected results of this study are that applications can make it easier to find out the passion fruit pests and quickly provide countermeasures without having to take too much time to call or meet a plant expert and make it easier for users to use the android-based application.
Genderpredictions using Convolution Neural Networks

Nowadays Deep learning was advanced so much in our daily life. From 2014, there is massive growth in this technology as there is a vast amount of data present. We are even getting better results from whatever we may do. In my work, I have used Convolution Neural Networks as my project depends on image classification. So what I’m trying to do is I’m using two classes in which one class is male and one class is female. I’m classifying both the classes and trying to predict who is male and who is female. For this, I have been using layers like Sequential, Convolution2D, Max-pooling, Flattening, and finally Dense. So, I connect all of these layers. I have been using two more extra layers which are Convolution2D and max-pooling connected as one layer for better classifications. In my model, I’m using Adam optimizer as I’m having only two classes and in my experiments, I found Adam as a good optimizer and I use binary cross entropy as my loss function as I’m using only two classes if we have more than two classes we can use categorical loss function and the images which I use for predictions will be converted into 64*64 matrix form. In the end, I will be getting predictions as 1 for male and 0 for female.
Visual Cryptography for Medical Images Including Watermarking

Security has become an indivisible question as Information Technology is ruling the world now. Cryptography is the technique to prove the inconceivable security for the secret data. Visual Cryptography is appropriate for any images, in which k out of n shares are enough to decrypt the clandestine information. It’s a method of isolating the secret among a group of contributors and each contributor get a share of the secret. Here sufficient number of shares is combined to expose the secret. Main applications of Visual Cryptography are Bank customer identification, Biometric security and so on. This paper provides such methods to maintain the privacy of an individual’s medical image and also embrace watermarking in the medical images, which provides copy right to the medical images of the concerned hospitals. Three Visual cryptography schemes are projected for medical image. Steps related to dividing the secret as shares are needed to be very hard to attack. These schemes mainly focused on decryption method, this act as an imperative utensil for getting efficient results.
Validating Machining Tools using Square Sum Labeling Technique

This work claims that the SS labeling for generalized web without centreW0 (m,3), corona graph (Pm x C3)⊙ K1 for and (Pm x C3).
Synergy Polemiс

The article is based on a speech at the second Bezhetsk readings in memory of V. Bibikhin. This time they were also dedicated to the memory of V. Bibibikhin's friend, Sergey Khoruzhiy, who left in September 2020. They were tied by close friendship and heated polemics. The topic of controversy was, in particular, the Palamite dogma. In this article, I try to identify the source of this controversy within the philosophical problem itself. It is rooted in the Parmenidean definition of the identity of thinking and being and in the Aristotelian concept of energy. It is with Aristotle that the leading theme of V. Bibikhin's philosophizing, the theme of “energy of rest”, is connected. In this “peace”, however, lurk the ontological aporias, clarified by Plato in “Sophist” and “Parmenides”. The solution of these aporias in Neoplatonism leads to the transformation of the meaning of ontological identity. S. Khoruzhiy considers the ascetic practice of the Byzantine hesychasts and spiritual practices in general as the basis of his synergic anthropology. Phenomenological analysis of ascetic experience unfolds the configuration of the “energies of ontological opening” of a person. On this basis, an anthropology of possible constitutions of a person is built in its interconnection with being.
Cover Jurnal

Cover Jurnal Edisi Volume 13 Nomor 1 2021
Location-Based Credit Card Fraud Detection with Two Way Authentication

The quick expansion of internet transactions has provided rise to a considerable quantity. Nevertheless,the Internet world is opened, your shopping devices have pesky insects, and also crooks can make use of a negative methods such as for instance Trojan and also pseudo base station. This leads to major raising of credit card fraud functions. If a criminal steal or perhaps cheats the info on the credit card of a cardholder, the criminal can utilize the credit card to ingest. Based on the Nilson Report in October 2016, over thirty-one trillion dollars have been produced globally by internet transaction methods within 2015, boosting 7.3 % than 2014. Globally losses at credit card fraud rose to twenty-one billion dollars throughout 2015, and can perhaps attain thirty-one billion dollars by 2020. Our proposed system is capable to stay away from the fraud transactions using previous data achieving the anticipated security level.
The Use of Lesson Plan Based on Brian Tomlinsin Principle

The purposes of this study are to to know learning criteria based on Brian Tomlinson's Principle applied by the teacher in Teaching English. To achieve the purposes of this study, the researcher used qualitative approach with case study type by taking place at SMPN 2 Langsa and data collection techniques are from various data collection techniques, such as interviews, questionnaires and document analysis. While the data source is the subject of where the data can be obtained. The data sources in this study are person and paper. That way the teacher at SMPN 2 Langsa chose the RPP criteria based on Brian Tomlinson, namely Visual, dependent, independent and kinesthetic. Then to prove the results of the interview the author also directly evaluates students directly through documents or some questions given by the teacher. From the results of the document the writer found that students after learning using the RPP (lesson Plan) criteria based on Brian Tomlinson were able to answer very satisfying questions and even some students answered correctly all of the questions. The relationship between the principles of teaching and learning between RPP in Indonesia and abroad by Brian Tomlinson is that they have similarities in the preparation of lesson plan such as determining topics as learning references, learning objectives, time, learning media, and learning procedures.
2012 ARO Basic Research

1.There is insufficient FORCE PROTECTION to ensure highest degree of survivability across the spectrum of operations. Soldiers inSmall Units (squads/fire teams/crews) are OVERBURDENED (physically and cognitively); this degrades performance and may result in immediate, as well as, long term consequences.3. U.S. Army squads are too often SURPRISED in tactical situations.Soldiers in Small Units lack sufficient timely MISSION COMMAND & TACTICAL INTELLIGENCE to understand where their assets are, who and where the enemy is, who and where non-combatants are and to document and communicate this information to each other and higher echelons.4. We spend too much time and money on STORING, TRANSPORTING, DISTRIBUTING and WASTE HANDLING of consumables (water, fuel, power, ammo and food) to field elements, creating exposure risks and opportunities for operational disruption. Soldiers in SmallUnits have limited capability to integrate maneuver and fires in all environments to create TACTICAL OVERMATCH necessary to achieve mission objectives. Operational MANEUVERABILITY (dismounted & mounted) is difficult to achieve in complex, austere, and harsh terrains and at high OPTEMPO.7. We do not understand WHAT MAKES THE HUMAN TICK in a way that can lead to assured ability to perform operational, high OPTEMPO missions effectively and without secondary negative effects.Problems listed in no particular order
Does Mobile Marketing Affect Customer Loyalty in Jordan

This study aimed to identify the impact of mobile marketing on the customer's loyalty in Jordan. The dimensions of mobile marketing were interactivity, personalisation, localisation, and convenience. The study population consisted of the customers shopping through mobile in Jordan; samples of 403 customers were taken. Their responses were investigated using a questionnaire designed for this purpose. The results were collected, inputted into the computer and the hypotheses were tested, using the SPSS program. The study results showed a statistically significant effect of mobile marketing (interactivity, personalisation, and convenience) on customers' loyalty, and there is a statistically insignificant effect of localisation on customers' loyalty. Based on the results, the researchers came up with some recommendations related to the fields of mobile content design, sharing information, benefit from the experiences, and solving customers problems.
An Efficient Pass Parallel SPIHT based Image Compression using Double Density Dual Tree Complex Wavelet Transform for WSN

For the past two decades, wavelet based image compression algorithms for Wireless Sensor Network (WSN) has gained broad attention than that of the spatial based image compression algorithms. In that, Dual Tree Complex Wavelet Transforms (DTCWT) has provided better results in terms of image quality and high compression rate. However, the selection of DTCWT based image compressions for various WSN based applications is not practically suitable, due to the major limitations of WSN such as, low bandwidth, low energy consumption and storage space. Therefore, an attempt has been made in this paper to develop image compression through simulation by considering the modified block based pass parallel Set Partitioning In Hierarchical Trees (SPIHT) with Double Density Dual Tree Complex Wavelet Transform (DDDTCWT) for compressing the WSN based images. In addition, bivariate shrink method is also adopted with the DDDTCWT to obtain better image quality within less computation time. It is observed through simulation results that above mentioned proposed technique provides better performance than that of existing compression technique
Segmentation of An Indian Classical Dance Videos using Different Segmentation Methods.

Video to frame conversion features are retrieved to categorize the actions in an Indian classical dance video dataset. The goal is to design an automatic machine learning model that identifies the moves of a dancer in a video. A video is a collection of images of specific movements, hence, features representing shapes and color can be used to interpret the dance steps. Image segmentation based features are capable of representing the shape in varying background conditions. Segmentation has become an important objective in image analysis and computer vision. To segment the images, edge detection, thresholding and region of interest are taken for this study. The proposed system performance is analyzed for total number of 50 different movements taken from Indian classicaldances.Bharatanatyam,Kathak,Kuchipudi,Manipuri,Mohiniytam Odissi,Kathakali and Satrriya in different background conditions.