Reviewerly/exHarmony huggingface dataset:
Pendampingan Penyusunan Javanese Dictionary Sebagai Media Pembelajaran bagi Organisasi Daerah Luar Jawa di Pondok Pesantren Sunan Drajat

&#x0D; &#x0D; Differences in communication or language used in the process of students communicating need to be adjusted so that misunderstandings in communicating can be minimized. At the Sunan Drajat Islamic Boarding School Alone in daily activities the majority language used by students is Javanese. However, of the thousands of existing students, there are still many who cannot or know the Javanese language due to the background of the students who come from various regions. So it is necessary to have learning media that can provide convenience for students in learning Javanese. This assistance activity in the preparation of a Javanese dictionary uses the ABCD (Asset Based Community Development) approach, which is an approach that aims to develop an asset owned by a group or community, from which then it becomes a way for existing changes to be made. This activity is expected to be able to later become a means in realizing the learning media. From this mentoring activity, it produces a dictionary that can be used by the Management of the Outer Java Region in supporting students' learning to apply the Javanese language in daily activities.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Pemberdayaan Lembaga Pers Siswa dalam Meningkatkan Literasi Jurnalistik di MTs. Sunan Drajat Banjarwati Paciran Lamongan

&#x0D; &#x0D; Literacy-based education should be familiarized in the world of education, let alone journalism in schools. The millennial generation have to the ability to write, both in the field of journalism and non-journalism. On that basis, our real-life college service team empowers student press institutions. Through journalistic literacy, it will teach students to have creativity in writing and be aware of the importance of journalism and the press. The method we use in this service is ABCD-Asset or potential based community development. The results we got through our activities were in the form of socialization and introduction of the service team with student press institutions, providing journalistic and press materials, mentoring young journalists, the practice of making wall magazines, training in layouting and editing techniques for wall bulletins and success in making educational wall magazines by The Students of Press Institutions. From these activities, the results obtained are that The Students of Press Institution are familiar with journalism and the press, know the techniques of interviewing and compiling news, understand the rubrics in wall magazines and can make opinions, articles, short stories and so on, able to make good wall magazines and know the layouting and editing techniques of wall bulletin scripts.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
ANTIDERM Dermatitis Consultation Application User Interface Design Model Using Design Sprint Method

Dermatitis is one of the inflammatory skin diseases that cause a variety of symptoms that can happen to all ages, particularly to children. Because of the many varieties of the dermatitis illness, patients are usually advised to consult with doctors specializing in the disease. However, oftentimes there are difficulties in meeting the doctors for consultation. Therefore, a consultation application is essential to ease communications between doctors and patients, alongside containing several information regarding the symptoms of dermatitis so that the public could learn the symptoms of dermatitis and how to avoid this dangerous disease. The mobile-based application ANTIDERM is one such application built for bequeathing to the public an efficient and accessible service to consult, do an early diagnosis, and look up news regarding the dermatitis disease. The application’s user interface (UI) basis are the five steps of the Design Sprint method that is targeted towards producing an application that can reach the expected target while providing a satisfying user experience. The result is an information system-based application design model that is very intuitive and streamlines the communication cycle between doctors and patients while easing the spread of information regarding the dermatitis disease.
Uji Akurasi Arah Kiblat Masjid Pondok Pesantren Sunan Drajat Kecamatan Paciran Kabupaten Lamongan Dengan Metode Mizwala Qibla Finder

&#x0D; The mosque is one of the most important places for Muslims, one of which is the mosque at the Sunan Drajat Islamic Boarding School. The mosque is a place of worship for all Muslims, where one of the conditions and pillars that must be met is facing the Qibla, therefore further research is needed to determine the Qibla direction of the Sunan Drajat Islamic Boarding School Mosque. One of the measurement methods that can be applied is the Mizwala Qibla Finder Method. This study uses a field research method and the data collected includes general information about the Sunan Drajat Islamic Boarding School Mosque and the method of determining the Qibla direction of the mosque. Data collection techniques by observation, interviews, and study of documents sourced from the takmir of the mosque and mosque documents. Mizwala Qibla Finder is a modified instrument from sundial to istiwak stick which is used specifically to determine Qibla direction. Mizwala Qibla Finder uses the Theodolite concept, in other words, this tool is a miniature or transformation of the Theodolite as a tool to determine the Qibla direction with high accuracy. Based on the measurement results obtained, it can be concluded that the Qibla direction of the Sunan Drajat Islamic Boarding School Mosque is 294º1'. Meanwhile, when measurements were made using the Mizwala Qibla Finder method, there was an error in the direction of the Qibla by 2º-3º from the actual direction. This is because the initial method of measuring the Qibla direction was carried out using a very classical method, so that when the Qibla direction of the Mosque was tested using the Mizwala Qibla Finder, deviations were found, but still tolerable.&#x0D;
An Assistant Android Application "Help Me" Application

Many people find themselves in a situation where they feel threatened or scared for their lives. Those people sometimes might need assistance in carrying out certain projects or tasks or may require certain documents or would like to share certain helpful documents with other users. In this application we try to integrate all of these aiding functions and mobile technologies into one assistant application to help users who require such services, to obtain it easily in one place without any constraints. This application offers seven main functions: signing in/up, adding contacts, sending location using the panic button, asking for a request, doing a favour for a friend, uploading and downloading documents from the server, and how to use menu. We have used Java and XML for the development on the client-side and the Firebase services to develop and store data on the server-side alongside Node.js for server-side function development.
Breast surface reconstruction utilising autonomous robotic assisted ultrasound image acquisition

One in eight females will be diagnosed with breast cancer in their lifetime, making it the most diagnosed cancer globally [1]. Three phases are essential for the outcome of breast cancer; early detection, accurate diag- nosis and treatment. Magnetic resonance imaging (MRI) has proven to be highly sensitive in detecting possible tu- mors lesions compared to other image modalities. How- ever, ultrasound (US) guided biopsies are the standard and biopsies on MRI detected lesions is challenging, because these lesions may not be visible on US images. Registration of pre-operative MRI with the intra- operative US combines the benefits of both imaging modalities and subsequently improve tumor localisation. Therefore, this work presents an US image-based sur- face reconstruction based on autonomous acquired US images to increase the accuracy of MRI/US registration. Thereby the proposed work eliminates the need for inter- sensor calibration as would be needed if stereo camera- based, depth camera-based or marker-based breast sur- face reconstruction would be used.
Using SciKit-Surgery for Augmented Reality in Surgery

SciKit-Surgery provides open source libraries to support research and translation of applications for augmented reality in surgery [1]. This paper discusses recent de- velopments in SciKit-Surgery and case studies using SciKit-SurgeryBARD to support research into visuali- sation and user interface design for augmented reality in surgery [2], [3]. The availability of high quality software tools for re- search and translation is a key enabler for scientific progress. Research into surgical robotics, image guided surgery, and augmented reality for surgery brings to- gether many disciplines and depends on a strong en- gineering base to provide the tools that researchers need (e.g., hardware interfaces, data management, data processing, visualisation, and user interfaces). SciKit- Surgery was conceived as a more accessible replacement for existing toolkits written predominantly in C++. Ex- perience has taught us that whilst implementations in C++ could be robust and offer optimised performance, the need to learn the language and the difficulties of maintaining cross platform compilation presented a higher a barrier of entry for most researchers. Whilst research software can be initially developed using short term research grants, the longer term sustainability of the software depends on other researchers being able to contribute to the software, both for maintenance and to introduce new features. For that to happen the software needs to be compact, written in a language that be easily interpreted by humans, and well documented. We conceived SciKit-Surgery to be a set of individual Python modules that could be used on their own by researchers to explore a specific topic or assembled into high quality applications that could be rapidly deployed to clinic to enable translation from bench to bedside.
Deep Imitation Learning for Automated Drop-In Gamma Probe Manipulation

Prostate cancer is one of the most common cancers in the UK, and Robotic-Assisted Surgery (RAS) has become a common method for prostate cancer surgery. Sentinel lymph node biopsy (SLNB) is an important component of prostate cancer surgery and provides accurate diag- nostic evidence of disease extent. A drop-in gamma probe, SENSEI, has been designed to improve the accuracy of sentinel lymph node detection in RAS. An example of its in vivo usage can be seen in Figure 1. It can distinguish cancerous tissue from normal tissue by detecting the radiation emitted from radiolabeled probes that have been injected into the body. A feasibility study has demonstrated that the drop-in gamma probe can provide accurate identifica- tion of positive nodes following the administration of technetium-99m nanocolloid [1]. However, relying on the live gamma level display and audible feedback from the console while the probe is scanned across the tissue surface is not an easy or intuitive way to identify hidden affected lymph nodes. This might affect the effectiveness of less experienced surgeons and latent hot spots may be overlooked. To address these issues, we propose a robotic scanning method to automatically and systematically examine an entire target area and locate the hot spots. In this study, we present a deep imitation training workflow based on simulation data for an end-to-end learning- based agent capable of systematically scanning target areas using visual input and the current robot state. The evaluation result shows that this approach is promising to automatically control the drop-in gamma probe.
Feasibility of Mobile Application for Surgical Robot Teleoperation

In recent years, robotic surgery has gained popularity due to its numerous advantages, including greater control and access for surgeons, shorter recovery times, and lower levels of pain for patients [1]. However, surgical robot systems require extensive training for surgeons to master their use. Simulation-based training has become a component of surgical education [2], providing a safe environment for trainees to acquire and refine their skills. However, most existing training platforms require bulky and expensive control consoles, which limits their availability and convenience. The development of a low- cost and easily deployed control console can address these limitations, thereby potentially enhancing the effectiveness of robotic surgery training. A system that satisfies these criteria can also enable medical robotics research in low-resource environments, where cost and accessibility are the most significant impediments to research. This paper describes the creation and evaluation of an iPhone application for these purposes.
PENGARUH MEDIA GAMBAR TERHADAP KEMAMPUAN BAHASA ANAK KELOMPOK B DI RA MARDHATI SKARDA N-III KECAMATAN RAPPOCINI KOTA MAKASSAR

The main problem in this research is how to improve children's language skills through picture media in class B at RA Mardhati Skarda N III, Rappocini District, Makassar City. The type of research used is experimental research using a one group pretest design consisting of pretest, treatment and posttest. The subjects of this study were the children of group B, which consisted of 15 children. The results of this study indicate that the average score at the pretest is 6.06% and the average value at the posttest is 19.06%. then this research is also supported by the results of calculations using the Wilcoxon signed rank test in the SPSS 21.0 program (statictical package for Social science) obtained, obtained a significance value of 0.001 here obtained a probability of 0.001 or (P &lt;0.05), which means that H0 is rejected and H1 is accepted.
Design and Construction of Urban Stormwater Return Flow Design Platform Based on Big Data Platform

The stormwater system is an important infrastructure for the city, playing an important safety role in reducing and removing water from roads and avoiding urban flooding. With the acceleration of urbanization and the accentuation of urban heat island effect, urban surface runoff shows the trend of high flow rate and fast flow rate, which leads to the increase of drainage load of urban stormwater system and the increase of risk of urban flooding. Therefore, it is necessary to adopt a scientific method to conduct a comprehensive analysis of the overall drainage capacity and safe conveyance capacity of the urban stormwater system, so as to do the preliminary paving work for the transformation of the existing stormwater system and improve the urban drainage capacity. In this paper, based on the analysis of the current status of urban stormwater system, the concept of urban stormwater system vulnerability is proposed and the indicators of stormwater system vulnerability are determined.
VOCALICIOUS-Voice-Assisted Food Ordering Web Application

Abstract: Vocalicious-voice assisted food ordering website is revolutionizing the way users interact with the platform by incorporating an Artificial Intelligence (AI) voice assistant. This advanced voice assistant not only suggests a wide range of food options available for ordering but also provides users with accurate cooking time estimates. Furthermore, it goes beyond the traditional food ordering experience bysuggesting nearby places to visit during cooking time, ensuring users can make the most of their time in the kitchen.
An Adaptive Zeroing Neural Network with Non-Convex Activation for Time-Varying Quadratic Minimization

The field of position tracking control and communication engineering has been increasingly interested in time-varying quadratic minimization (TVQM). While traditional zeroing neural network (ZNN) models have been effective in solving TVQM problems, they have limitations in adapting their convergence rate to the commonly used convex activation function. To address this issue, we propose an adaptive non-convex activation zeroing neural network (AZNNNA) model in this paper. Using the Lyapunov theory, we theoretically analyze the global convergence and noise-immune characteristics of the proposed AZNNNA model under both noise-free and noise-perturbed scenarios. We also provide computer simulations to illustrate the effectiveness and superiority of the proposed model. Compared to existing ZNN models, our proposed AZNNNA model outperforms them in terms of efficiency, accuracy, and robustness. This has been demonstrated in the simulation experiment of this article.
ANALISIS PERENCANAAN SUMBER DAYA MANUSIA DI UNIVERSITAS NUSA CENDANA KUPANG

The purpose of the research is to ensure the availability of human resources in the future at the University of Nusa Cendana. The research sample is the Faculty of Social Sciences (FISIP) and the Faculty of Teaching and Education Science (FKIP). The method in data analysis is the forecasting technique. The results showed that the qualifications of FKIP and FISIP lecturers matched the target of the Ministry of Education and Culture, which is the percentage of lecturers who have work experience or are certified educators. Indicators of the adequacy of the number of functional positions; professors, head lectors, and lectors assigned as the lecturer set by BAN-PT are still below the standard. Lecturer-Student Ratio (RDM) is beyond the ideal conditions. The lecturer entering their retirement in 2022 are high, thus the demand for lectures is high. The limitations of this study were the unavailable completed documentation and the limited scope in two faculties only.&#x0D; Keywords: Human Resource Planning; Forecasting; Lecturer-Student Ratio
Resource bounds on mental simulations: Evidence from a fluid-reasoning task

eople are able to reason about the physical dynamics of everyday objects. One proposal for the computations underlying this ability is that people are running an approximate mental simulation of their environment. However, such a simulation must be limited in its resources. We applied the notion of a resource-bound simulation to a fluid reasoning task, and show people’s changing behavior can be explained by an approximate simulation that hits a resource limit after some time elapses. In Experiments 1 and 2, people performed well on tasks that asked them to estimate the time-to-fill and water level of different containers, when filled over short periods of time (1-7 seconds). Experiment 3 shows systematic biases in visual volume estimation, which further strengthens the proposal that people are using a simulation to solve the first two experiments. Experiment 4 extends the reasoning time for the time-to-fill task, and shows the existence of a ‘switch point’, as expected from a resource-bound simulation model. The model also accounts for individual differences: People who perform worse on a digit-span task have an earlier switch point.
ASPHALT ROAD DAMAGE DETECTION SYSTEM USING CANNY EDGE DETECTION

Road is a means of access for humans to move from one place to another, connecting one place to another, and serving as transportation infrastructure. At all times, asphalt roads are passed by road users, including small, medium, and large vehicles. However, road conditions are not always smooth and often there are damages in certain parts of the road. Factors such as water, weather, temperature changes, unstable soil conditions, air temperature, poor compaction process on the base layer, and the weight or overload of heavy vehicles that exceed capacity, as well as the increasing volume of vehicles, can cause road damage. Road damage can reduce economic revenue and increase accident rates. Some types of asphalt road damage include undulating, potholes, cracking, and asphalt puddles on the road surface. Potholes are the most common type of damage that cause accidents for road users. This study uses the Canny edge detection method to detect asphalt road damage. The minimum object size that can be detected as road damage is 15x15 pixels and the maximum is 290x540 pixels. Testing was conducted on 65 primary data and 35 secondary data, and the average accuracy obtained were 90.5% and 88%, respectively.
Geometric phases along quantum trajectories

A monitored quantum system undergoing a cyclic evolution of the parameters governing its Hamiltonian accumulates a geometric phase that depends on the quantum trajectory followed by the system on its evolution. The phase value will be determined both by the unitary dynamics and by the interaction of the system with the environment. Consequently, the geometric phase will acquire a stochastic character due to the occurrence of random quantum jumps. Here we study the distribution function of geometric phases in monitored quantum systems and discuss when/if different quantities, proposed to measure geometric phases in open quantum systems, are representative of the distribution. We also consider a monitored echo protocol and discuss in which cases the distribution of the interference pattern extracted in the experiment is linked to the geometric phase. Furthermore, we unveil, for the single trajectory exhibiting no quantum jumps, a topological transition in the phase acquired after a cycle and show how this critical behavior can be observed in an echo protocol. For the same parameters, the density matrix does not show any singularity. We illustrate all our main results by considering a paradigmatic case, a spin-1/2 immersed in time-varying a magnetic field in presence of an external environment. The major outcomes of our analysis are however quite general and do not depend, in their qualitative features, on the choice of the model studied.
ICT: Resume Builder System Using Full Stack Web Development

Abstract: Information and Communication Technology, is a powerful and transformative tool that has revolutionized the way we work, learn, communicate, and access information. It involves the use of cutting-edge digital technologies to manage and process information, and to facilitate communication and collaboration with others over a network. The current placement process for college students faces several challenges. Students lack the necessary experience to create a professional resume, which can affect their chances of getting hired. Some students may get disqualified due to their resume format or template selection, resulting in missed job opportunities. Also, the college currently relies on a third-party application for placement activities, which raises concerns about data security and privacy. The resume builder system is a web-based tool designed to help students create professional resumes effortlessly. It eliminates the need for selecting templates and additional work by providing a well-structured resume in PDF format. The placement calendar is the primary feature, notifying students of upcoming activities such as interviews and pre-placement talks. This project aims to aid students and the placement cell's employees in placement activities by displaying information about new firms and collecting data on students who have applied.