Reviewerly/exHarmony huggingface dataset:
"Movement, sweating, and contact pressure as sources of heart rate inaccuracy in wearable devices"

Wearable devices enable continuous heart rate (HR) monitoring through photoplethysmography (PPG).The impact of wrist-worn devices' sensor contact pressure and sweat, and of their interaction with movement, on HR monitoring is unclear.HR was recorded in 17 healthy individuals using two smartwatches, Garmin Vivoactive 4 (GV) and Fitbit Sense (FS), concurrently with ECG at rest and during controlled arm movement at three increasing intensities.Recordings were repeated after reducing contact pressure by loosening the wristband by one or two notches and using one or two drops of saline solution to simulate sweating.In optimal conditions, the mean absolute percentage error (MAPE) was (median [interquartile range]) 4.3% (1.4%, 7.7%) and 3.1% (1.6%, 5.0%) (p=0.58), for GV and FS, respectively.Loosening the wristband by 1 notch increased MAPE for FS during rest (p=0.021),moderate (p=0.004) and vigorous (p=0.002)movement, but not for GV, for which loosening the wristband by 2 notches increased MAPE during moderate (p=0.015) and vigorous (p=0.008)movement.Simulated sweat increased MAPE during moderate movement using FS (p=0.002), and during vigorous movement for both devices.In conclusion, contact pressure and sweating can increase HR inaccuracy even during rest and moderate movement.
E-BOOK SEBAGAI INOVASI DALAM PEMENUHAN SARANA DAN PRASARANA PENDIDIKAN BERBASIS TEKNOLOGI DI ERA DIGITAL PASCA PANDEMI COVID-19

This article discusses an innovation of facilities and infrastructure to support the quality of education in Indonesia. Difficulties in the distribution and outreach of facilities and infrastructure such as textbooks to schools that are far from the center of government are also an obstacle. This causes the problem of uneven distribution of education in Indonesia. For this reason, innovation is needed so that students access the information they should get easily and affordable throughout the archipelago. The purpose of writing this article is to explain the effect of using technology media, namely electronic books or ebooks for schools. This research is a literature study. This article discusses the use of electronic books or ebooks as supporting educational facilities and infrastructure after the Covid-19 pandemic.
The Cooperative Principle in Fate: The Winx Saga Episode 1

The aim of this research is to analyze the cooperative principle in Fate: The Winx Saga Episode 1 as data source. Researchers used theory of Grice to analyze the data. This research used descriptive qualitative method because the result would be described in words, sentences and paragraphs. Observational method was used in this research along with non-participatory and note taking techniques. This research was found 57 data of four of cooperative principle. Maxim of quality with 11 data, maxim of quantity with 11 data, maxim of relation 18 data and maxim of manner with 17 data. Maxim of relation was the most uttered and maxim quality and quantity were the least uttered in the movie.
Review on Intelligent Controller Path Planning of Scorbot Robot PATH PLANNING

Robotics is spanning as a prominent component of manufacturing industries tending to affect human being at all levels, from managers of production to shop floor unskilled workers. A programmable robot with number of degrees of freedom and different configuration can perform diverse tasks with the help of associated verity of grippers. This article deals with “Intelligent Controller for Path Planning of Scorbot Robot”. Modelling and design analysis are primary requirements for manufacturing a robot. Kinematic express knowledge about performance and actions of a mechanical system and it take part in greater role for development and software management. In the first part of the article, kinematic behavior has been analyzed for scorbot-er 4u robot. On each link frame is assigned which gives spatial position by mapping and positions of gripper with respect to base is found or vice versa. Direct kinematics is the finding the position and orientations of the gripper with respect to a known reference frame for an n DOF manipulator. In the next part of the thesis an intelligent controller has been proposed using fuzzy logic technique to perform desired task of scorbot. The proposed methodology has been analyzed by simulation result and verified experimental result which is good agreement &amp; its effectiveness of the proposed methodology.
AGRICULTURAL AND PLANTATION PRODUCT MARKETING INFORMATION SYSTEM

The agricultural and plantation sectors play a key part in Indonesia's economic development. This is because the majority of Indonesians continue to rely on this industry for their lives, particularly as a provider of basics. Farmers in Marga Agung Village, Jati Agung District, South Lampung are one example. Currently, farmers purchase and sell agricultural products through agents, wholesalers, retailers, and consumers who rely on the conventional marketing system, resulting in a number of issues, such as the difficulty of selling suitable agricultural products. These agricultural products are getting more expensive in Indonesia, both in the eyes of customers and due to farmers' meager profit margins. Consequently, a WEB-based marketing system was developed utilizing a design methodology that employs the UML Tool. The objective and benefits of building this website are to promote agricultural and plantation products, to facilitate the purchase and sale of agricultural and plantation products by farmers, and to facilitate the acquisition of agricultural and plantation products by consumers.
Listening in the Morning: Devotional Readings for Teachers

Listening in the morning is a manifesto of sorts. Written by teacher, lecturer and passionate educator Dr Trevor Lloyd, Listening in the morning is a devotional book with a singular golden thread running through out - teaching is a missional calling.
Experiences and Recommendations Regarding Cloud Cryptocurrencies

Cryptocurrencies have been gaining incredible popularity in recent years.Their number has grown from a single cryptocurrency to several thousand, and the peak was reached in the period between 2021 and 2022 when the number of cryptocurrencies doubled to over 12,000.Many cryptocurrencies exist only to make money for their creators.The emergence of cryptocurrencies has changed the way in which people store money, invest, and pay for products and services.The number of companies that support payments in cryptocurrency is increasing, although there is still resistance from some countries to this method of payment.The paper explains how cryptocurrencies can be used, stored, and what cloud storage methods are currently available.It also provides a brief description of technologies that are used to create cryptocurrencies.The second part provides an overview of the profitability of cryptocurrencies, explains whether it is actually profitable to invest in this form of "digital gold", and presents the best options for mining cryptocurrencies.
Designing and Implementing the “Education Support” Web Application Using Spring and Hibernate Frameworks

In this paper, we present the process of developing and implementing the web application "Education Support" using Spring and Hibernate frameworks.The objective of the paper is to explore the modes of designing and implementing this web application that aims to provide an accessible way of searching and selecting between various educational institutions, as well as to provide an easy way for educational institutions to communicate with their potential clients.This application aims to enable users to collect information, plan ahead and secure their enrolment with special benefits.Educational institutions would benefit from this app business-wise, thanks to having an efficient and user-friendly list of their subscribers, along with a list of the requests to schedule an informative visit to their institution, with the option to send promotional messages to users.We chose this subject as we noted that no such web application is available on our market.We have applied Larman's methodology in each development phase of this web application.
Protection and Security Risk Management, a Proposal of Cryptologic Measures and Solutions for Vesimpex Company

The subject of this paper comprises the creation of an associative concept network in the realm of security management, and the application of cryptography through secondary research, along with perceiving the importance of security in a concrete organisation through primary research.The objective is to formulate, based on the analysis of a specific company, a proposal regarding security and cryptology measures to advance the security system of a company.The basic principles of information security of small and medium-sized enterprises, along with the application of adequate security algorithms based on a one-time pad (OTP) and visual cryptography (VC) are utilised for the design of a complete solution for the company in question.Alongside its theoretical foundation, the paper contains information about the company itself, collected through observation, note-taking and content analysis, as well as the process of creating the security solution incorporated into the project charter, and the solution itself.
Application of Fuzzy analytic hierarchy process in vulnerability assessment of debris flow control project

The paper firstly introduced distribution and adaptability of the debris flow control work in Sichuan.And then it evaluate vulnerability of the Interception Dam according to development and distribution characteristics of debris flow channel, and scope and purpose of engineering measures. On the basis of generation characteristics of debris flow, systematically analyzed the dam location, its condition, characteristics of debris flow, rainfall and earthquake, the overall five first-level factors and the corresponding eight second-level factors, formed a vulnerability assessment system of the Interception Dam project and evaluated the vulnerability by using analytic hierarchy process and fuzzy comprehensive evaluation method to control project, the result showed that the vulnerability of the control project is low, among them, very low vulnerability has 5, low vulnerability has 18, moderate vulnerability has 4. The result shows that the overall operation of the control project is good, with strong protection. Research results provide certain guiding significance for similar engineering vulnerability assessment area.
SECURED DATA RETRIEVAL IN MILITARY APPLICATIONS USING CP-ABE

Disruption-tolerant network (DTN) technologies are only solutions for military environment because of their mobile nodes irregular network connectivity and frequent partitions. But due to its nature of having external storage node during the transmission there is chance of getting exploited. Cipher text-policy attribute-based encryption(CP-ABE), is a good solution however, the problem of applying CP-ABE in decentralized DTNs introduces several security and privacy challenges with regard to the attribute revocation, key escrow, and coordination of attributes issued from different authorities.Some users (receivers) may change their associated attributes at some point (for example moving their region) here there is a need of attribute updation and also provides forward and backward secrecy for the attribute revocation problem. So we proposed a system that provides a multi authority CP-ABE scheme for secure data retrieval in decentralized DTNs a variation of the CP-ABE algorithm that overcomes the attribute revocation problem.
Rancang Bangun Sistem Informasi Komplain Pada PT. Adya Prima Kelola Berbasis Web

PT. Adya Prima manages buildings in Jakarta and other areas in Indonesia, one of which is The Lavende Residence Apartment. The existence of komplaints at The Lavende Residence Apartment which is managed by PT. Adya Prima is currently accepting komplaints from apartment residents through handling officers, so that residents need more time to complete the komplaint process. So, a web-based komplaint application was designed that can be used by residents to file complaints to find out the process, so that customers do not need to meet directly and the complaint process can be resolved. The complaint application is designed using UML (Unified Modeling Language) to help describe business processes as well as in making applications using the PHP and MySql programming languages.
Assessing BDNF correlations with non-invasive indicators of neurological decline in different age groups

Background: Health is the prime concern of the modern world, and with the increasing life span, both the physical and mental health of human being decline, eventually affecting the cognitive abilities of a person, which may be due to normal aging processes or neuropathological reasons. A cross-sectional study investigated the relationship between BDNF level, neurological disturbance, and aging.&#x0D; Methodology: Cognitive assessment is done through verbal fluency test (FAS, DSST, and 6CIT) and BDNF level in blood found through HPLC utilizing the ALIZA kit method.&#x0D; Results: Descriptive statistics were applied for continuous variables. Hence, one-way ANOVA was performed to show the relationship between cognitive parameters and aging.&#x0D; Conclusion: Our study reports that verbal fluency disturbs as lifetime increases, although sex, education, obesity, or lifestyle does not affect cognition.
Perancangan dan Pembuatan Alat Pemantau Lampu Lalu Lintas Simpang Lima Menggunakan Mikrokontroler Berbasis Web

Congestion has become a significant problem for road users, in particular, the occurrence of queues at intersections. Traffic lights have an important role related to the control system to regulate road users so that they are orderly in every queue at the crossroads. The current traffic light control system still uses a static timing system, so to solve this problem an innovation is needed in the form of making a traffic light monitoring device at a five-lane intersection using a web-based microcontroller as the input used to control road user traffic lights. The design of this tool uses a module with the ESP8266 series as a module capable of managing and sending data via internet media, by installing three LEDs each on five lanes which will be processed automatically, equipped with a buzzer component as a marker where traffic light signs are placed. . The circuit will be controlled using an Arduino type microcontroller with the ATmega2560 series. The results of the tests carried out show that the website that has been made can control LEDs, with a buzzer as a marker of information regarding the state of the traffic light, it can work with related provisions at intersections.
Detection of Berezinskii--Kosterlitz--Thouless transitions for the two-dimensional $q$-state clock models with neural networks

Using the technique of supervised neural networks (NN), we study the phase transitions of two-dimensional (2D) 6- and 8-state clock models on the square lattice. The employed NN has only one input layer, one hidden layer of 2 neurons, and one output layer. In addition, the NN is trained without any prior information about the considered models. Interestingly, despite its simple architecture, the built supervised NN not only detects both the two Berezinskii--Kosterlitz--Thouless (BKT) transitions but also determines the transition temperatures with reasonable high accuracy. It is remarkable that a NN, which has an extremely simple structure and is trained without any input from the studied models, can be employed to study topological phase transitions. The outcomes shown here as well as those previously demonstrated in the literature suggest the feasibility of constructing a universal NN that is applicable to investigate the phase transitions of many systems.
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning

In this paper, we propose a new mutual information framework for multi-agent reinforcement learning to enable multiple agents to learn coordinated behaviors by regularizing the accumulated return with the simultaneous mutual information between multi-agent actions. By introducing a latent variable to induce nonzero mutual information between multi-agent actions and applying a variational bound, we derive a tractable lower bound on the considered MMI-regularized objective function. The derived tractable objective can be interpreted as maximum entropy reinforcement learning combined with uncertainty reduction of other agents actions. Applying policy iteration to maximize the derived lower bound, we propose a practical algorithm named variational maximum mutual information multi-agent actor-critic, which follows centralized learning with decentralized execution. We evaluated VM3-AC for several games requiring coordination, and numerical results show that VM3-AC outperforms other MARL algorithms in multi-agent tasks requiring high-quality coordination.
First-shot anomaly sound detection for machine condition monitoring: A domain generalization baseline

This paper provides a baseline system for First-shot-compliant unsupervised anomaly detection (ASD) for machine condition monitoring. First-shot ASD does not allow systems to do machine-type dependent hyperparameter tuning or tool ensembling based on the performance metric calculated with the grand truth. To show benchmark performance for First-shot ASD, this paper proposes an anomaly sound detection system that works on the domain generalization task in the Detection and Classification of Acoustic Scenes and Events (DCASE) 2022 Challenge Task 2: "Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Technique" while complying with the First-shot requirements introduced in the DCASE 2023 Challenge Task 2 (DCASE2023T2). A simple autoencoder based implementation combined with selective Mahalanobis metric is implemented as a baseline system. The performance evaluation is conducted to set the target benchmark for the forthcoming DCASE2023T2. Source code of the baseline system will be available on GitHub: https://github.com/nttcslab/dcase2023_task2_baseline_ae .
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates

We consider the problem of large-scale Fisher market equilibrium computation through scalable first-order optimization methods. It is well-known that market equilibria can be captured using structured convex programs such as the Eisenberg-Gale and Shmyrev convex programs. Highly performant deterministic full-gradient first-order methods have been developed for these programs. In this paper, we develop new block-coordinate first-order methods for computing Fisher market equilibria, and show that these methods have interpretations as t\^atonnement-style or proportional response-style dynamics where either buyers or items show up one at a time. We reformulate these convex programs and solve them using proximal block coordinate descent methods, a class of methods that update only a small number of coordinates of the decision variable in each iteration. Leveraging recent advances in the convergence analysis of these methods and structures of the equilibrium-capturing convex programs, we establish fast convergence rates of these methods.
A Comparison of Speech Data Augmentation Methods Using S3PRL Toolkit

Data augmentations are known to improve robustness in speech-processing tasks. In this study, we summarize and compare different data augmentation strategies using S3PRL toolkit. We explore how HuBERT and wav2vec perform using different augmentation techniques (SpecAugment, Gaussian Noise, Speed Perturbation) for Phoneme Recognition (PR) and Automatic Speech Recognition (ASR) tasks. We evaluate model performance in terms of phoneme error rate (PER) and word error rate (WER). From the experiments, we observed that SpecAugment slightly improves the performance of HuBERT and wav2vec on the original dataset. Also, we show that models trained using the Gaussian Noise and Speed Perturbation dataset are more robust when tested with augmented test sets.
Assistance for Disaster Preparedness Volunteer Students: Lifting Moving and the Process of Evacuating Disaster Victims

Disaster management includes pre-disaster, emergency response and post-disaster stages. The partners of this activity are student volunteers for disaster preparedness (Maharesigana), a community formed as a forum for fostering and developing students in disaster risk reduction, community service in handling disaster preparedness, and carrying out disaster management activities. However, a scientific background (non-health) becomes an obstacle when on duty. This activity aims to provide assistance in improving skills and knowledge of evacuation techniques and lifting moving procedures which are basic skills that partners must have. The activity method is delivered in the form of lectures, demonstrations, independent practice and role play simulations based on case scenarios. The results of the evaluation in the form of post tests and skills showed positive results in the aspects of knowledge (average score 82) and skills (average score 80).
Increasing Knowledge, Attitudes, and Behavior on Disaster Preparedness Through Disaster Literacy Counseling for Students of SDN Kaliwungu, Kudus Regency

Disasters that occur apart from natural factors are also caused by human activities. Almost all activities carried out by humans will have an impact on environmental damage and in turn have an impact on humans themselves in Kudus Regency, in 2019 there were 28 floods, 9 landslides and 167 fires, although only 2 schools were affected. For this reason, knowledge is needed for students who are agents of the future to be able to reduce activities that can cause damage to nature. The school literacy movement is expected to spur the formation of a mindset by inserting disaster literacy material including reading books, discussions and simulations. The purpose of this study was to determine the effect of disaster literacy education on increasing knowledge, attitudes and behavior
POM QM for Windows Training for Industrial Engineering Students at the University of Serang Raya (UNSERA) in Solving Linear Programming Problems in Everyday Life and the World of Work

POM QM for Windows training on the Linear program is carried out with the aim of solving the problem of allocating resources which is quite complex in the best and easiest way to do it. This training was conducted for students by explaining the use of the POM QM application for Windows and ending with a simulation by students. The output of this training is that students already understand how to install and use the POM QM application in solving linear programming problems and students are quickly able to draw conclusions about linear programming problems based on the results of application calculations. As well as with the POM QM for Windows training, participants or industrial engineering students are able to solve complex linear programming problems quickly and precisely.