Reviewerly/exHarmony huggingface dataset:
Review of: The Meanings of Maple: : An Ethnography of Sugaring

Michael A. Lange. Fayetteville: The University of Arkansas Press, 2017. Pp. xxxix + 191, preface, acknowledgments, introduction, epilogue, b&w images, notes, bibliography, index.
ANALISIS ALGORITMA AES DALAM MENGAMANKAN DATA PADA KANTOR WALIKOTA PEMATANGSIANTAR

Data is information that is kept very confidential because it contains important information about the company or agency. Computers are currently the main component in the company that is able to store data, speed up work, improve the quality and quantity of services, simplify the transaction process, and others. But in terms of computer security still has several loopholes that allow a person or group to easily retrieve data or information on the computer. To avoid theft and manipulation of data, it is necessary to implement a security system. Cryptography is the study of how to change information from normal conditions / forms (can be understood) into a form that cannot be understood. One method that can be used to secure messages / information is the Advanced Encryption Standard (AES). The application of the AES cryptographic algorithm in securing data at the Pematangsiantar Mayor's Office shows that this algorithm can generate encryption that cannot be understood by humans and produces the exact decryption with the initial plaintext input.
Business Opportunities : Digital Art Portrait / Nayli Mohd Rudy

I make Digital Art Portrait. Other than that, I also do Graphic Designing such as creating logo or poster. I am also a Graphic Designer for Malay Free Quran channel in YouTube. My father was offered a manager position by the company for Malaysia's Free Quran Education in Malaysia. With that effect, my father brought my brother and me in to maintain their Malay Free Quran Education YouTube I used Adobe Illustrator to help me create illustrations. Chronologically, in July 2020, I become a Graphic Design Freelancer, May to April 2020 is when I started my Digital Art Portrait and May 2021 I became a Graphic Designer for FQE channel. The customer that I targeted for my Digital Art Portrait are mostly teenagers around 18 to 20 years old and have deep interest in art. Older age group are usually in a business company who are new in the field and in need of new logo or illustration service. For Malay Free Quran Education, we targeted people young and old who are Muslims and also to those who are not Muslim who are and keen in knowing and learning about Islam.
Evaluation Scheme of Live Load Standard of Railway Bridge Based on VR Technology

Abstract With the rapid development of China’s railways and the extension of high-speed railways in all directions, China’s railway departments have realized that the original design concept and design load can no longer meet the current requirements of railway operation. This paper mainly studies the design of the live load standard evaluation scheme for railway Bridges based on VR technology. This paper first introduces the theory of load experiment and analyzes the live load experiment and its standard in detail. Then, this paper analyzes the live load standard evaluation scheme of railway Bridges under VR technology, and carries out experiments. The experimental results show that when the spacing between main beams is 2.1m and 4m, the empirical distribution does not reject the test of normal distribution, lognormal distribution and extremum-I distribution, but the test value of normal distribution is the smallest, indicating that the distribution type of transverse distribution coefficient of load is closer to normal distribution. The results of this paper are helpful for the railway departments to carry out live load experiments on railway Bridges and promote the development of load evaluation of railway Bridges.
Double-Block-Length Hash Function for Minimum Memory Size

Sharing a common primitive for multiple functionalities is essential for lightweight cryptography, and NIST’s lightweight cryptography competition (LWC) considers the integration of hashing to AEAD. While permutations are natural primitive choices in such a goal, for design diversity, it is interesting to investigate how small block-cipher (BC) based and tweakable block-cipher (TBC) based schemes can be. Double-block-length (DBL) hash function modes are suitable to ensure the same security level for AEAD and hashing, but hard to achieve a small memory size. \(\mathsf {Romulus}\), a TBC-based finalist in NIST LWC, introduced the DBL hashing scheme \(\mathsf {Romulus}\hbox {-}\mathsf {H}\), but it requires \(3n+k\) bits of memory using an underlying primitive with an n-bit block and a k-bit (twea)key. Even the smallest DBL modes in the literature require \(2n+k\) bits of memory. Addressing this issue, we present new DBL modes \(\mathsf {EXEX}\hbox {-}\mathsf {NI}\) and \(\mathsf {EXEX}\hbox {-}\mathsf {I}\) achieving \((n+k)\)-bit state size, i.e., no extra memory in addition to \(n+k\) bits needed within the primitive. \(\mathsf {EXEX}\hbox {-}\mathsf {NI}\) is indifferentiable from a random oracle up to \(n- \log n\) bits. By instantiating it with \(\mathsf {SKINNY}\), we can provide hashing to \(\mathsf {Romulus}\) with zero memory overhead. \(\mathsf {EXEX}\hbox {-}\mathsf {I}\) is an optimized mode with collision resistance. We finally compare the hardware performances of \(\mathsf {EXEX}\hbox {-}\mathsf {NI}\), \(\mathsf {EXEX}\hbox {-}\mathsf {I}\), and \(\mathsf {Romulus}\hbox {-}\mathsf {H}\) with \(\mathsf {SKINNY}\hbox {-}\mathsf {128}\hbox {-}\mathsf {384}\). \(\mathsf {EXEX}\hbox {-}\mathsf {NI}\) and \(\mathsf {EXEX}\hbox {-}\mathsf {I}\) achieve the circuit-area reduction by 2,000+ GE, yielding the total areas being smaller than 70% of that of \(\mathsf {Romulus}\hbox {-}\mathsf {H}\).
FAIRsFAIR D4.5 Report on FAIR Data Assessment Toolset and Badging Scheme

Providing practical solutions for implementing FAIR principles throughout the lifecycle of research data is one of the main goals of the FAIRsFAIR project. This report provides an update of the FAIR assessment metrics developed by the task 4.5 team and describes in detail two practical tools for assessing the FAIRness of research data during data acquisition, and for data already archived in a trusted data repository. The tools are named FAIR-Aware, and F-UJI. The report also presents a badging scheme for visualising and sharing the FAIR level of individual datasets.
Towards inclusive multisensory embodied experiences for affective and cognitive health

This paper presents a brief overview of my work on disability focusing on affective and cognitive health for embodied and multisensory interactions. This body of work is used to reflect on how senses can be better leveraged to empower the changes experienced by the dynamic self, and to open up conversations on how to design for inclusive interoceptive interactions.
LibGuides: Computer Keyboards: A Beginner’s Guide to Basics, Customization, and Safety: Typing Instruction

This guide is geared to help educate anyone on the topic of computer keyboards, their proper use, safety, and picking the right keyboard for you. These resources help test and improve your typing skills.
Office Inventory Processing Information System at PT. Dian Ratna Abadi

PT. Dian Ratna Abadi is a company engaged in human resource services. At this time, inventory data collection is still done manually using Microsoft Office applications. Data collection in this way can make it difficult for employees to collect data and produce reports, so that it is not effective and efficient. The research method used is a descriptive method using observation data collection techniques, interviews and literature studies. This research is an Applied Research. The purpose of this research is to design a goods inventory application to provide convenience in processing data to obtain the desired information. From the research conducted, it produces an inventory system that can be used without any errors or errors in the system
Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning.

Safe and efficient behavior are the key guiding principles for autonomous vehicles. Manually designed rule-based systems need to act very conservatively to ensure a safe operation. This limits their applicability to real-world systems. On the other hand, more advanced behaviors, i.e., policies, learned through means of reinforcement learning (RL) suffer from non-interpretability as they are usually expressed by deep neural networks that are hard to explain. Even worse, there are no formal safety guarantees for their operation. In this paper we introduce a novel pipeline that builds on recent advances in imitation learning and that can generate safe and efficient behavior policies. We combine a reinforcement learning step that solves for safe behavior through the introduction of safety distances with a subsequent innovative safe extraction of decision tree policies. The resulting decision tree is not only easy to interpret, it is also safer than the neural network policy trained for safety. Additionally, we formally prove the safety of trained RL agents for linearized system dynamics, showing that the learned and extracted policy successfully avoids all catastrophic events.
Simple Additive Weighting Method In The Triage Decision Support System

The Islamic Hospital in Surabaya is one of the private hospitals operating. Like other hospitals, the Islamic Hospital also has many facilities; one of them is the Emergency Room. This space functions as the initial room for patients who come to the hospital in emergency conditions. Triage is a method commonly used in determining a patient's emergency when entering an emergency room. However, not all health workers have good ability in determining the emergency of patients because to master the method requires experience and adequate knowledge about triage. To overcome those problems, the Triage Decision Support System was made using the Simple Additive Weighting (SAW) method which will help health workers who do not have many experiences in determining patients' emergencies. This Decision Support System is made to be web-based so that later this system can be applied on various computer devices. The results of the simulation and experiment of the system showed that the system can perform the SAW Calculation process on the triage examination criteria that are used and determine the triage color category, and this system can also produce patients’ and response time reports.
PENGEMBANGAN MEDIA PEMBELAJARAN MENGGUNAKAN SCRAPTURBOOK TEMA & SUBTEMA 2 PADA SISWA KELAS IV SDN 004 TARAKAN

This study aims to develop a Scrapturbook to determine the feasibility and response of students to learning media developed in thematic learning on theme 7 sub-theme 2 the beauty of diversity in my country in grade IV SDN 004 Tarakan. This type of research uses (R&D) which aims to produce product with the research and development model used in this study is the ADDIE development model. According to Sugiyono (2014: 407) ADDIE research methods are used to produce certain products and the effectiveness of these products where all the stages in designing learning consist of five stages, namely Analysis, Design, Development, Implementation, and Evaluation. The data collection instruments used were observation, interviews, validation sheets, and student response questionnaires. The resulting scrapturbook media product is paper sized with A4 (21.0 x 29.7 cm), which is made of art paper, colorful cover paper, and consist of 21 pages. The validation results obtained from media experts were 88.63%, material experts 90%, and practitioner experts were 95%. The validation results from media experts, material experts, and practitioner experts show that scrapturbook media is said to be very suitable for use in the learning process. The results of student response questionnaires regarding learning media in initial product trials and usage trials showed that student responses to scrapturbook learning media were very feasible.
Analysis on Teaching Online Strategy in Speaking Skill Used a Teacher in School

Teaching strategy is a sequence of activities that systematic, general patterns of teacher activities that include about the sequence of learning activities, the order of achieving the goals that have been specified.The objective of the research are: (1) to identify the strategies used by the English teacher in teaching speaking . (2) To find out the problems faced by the English teacher in teaching strategy on speaking .The research methodology in this research is a descriptive-qualitative design. The subject of the research is the teacher of class at the seventh grade of Junior High School, in here only one teacher and the students it is consist of 31 students that one class only.the strategies in teaching speaking that are: use the Individual work, based on activities on easy language, give instruction or training in discussion skills, and keep students to speak the target language. The techniques of collecting the data in this research are: doing interview with English teacher. This technique of data analysis which used in this research was interactive model of analysis, the model of data analysis from Miles and Huberman. That are: colleting the data, reducing the data, presenting the data and drawing conclusion. In this study used data triangulation, source and theory. This research finding that the teaching strategies used the teacher in speaking class of full day class at seventh grade in SMP Hangtuah 5 Candi . The first meeting, the teacher in teaching speaking skill used three strategies that are: used keep students to speak the target language, base the activities on easy language, and the teacher used the Individual work.
Subject Guides: ORGA 1070 : Achieving Service Excellence: Accessing NSCC's LinkedIn Learning

This guide provides access to quality resources relevant to the topics covered in NSCC's ORGA 1070: Achieving Service Excellence course. It is a collaborative effort of NSCC Organizational Learning and NSCC Libraries.
The Web of Data’s Role in Legal Ecosystems to Address Violent Extremism Fuelled by Hate Speech in Social Media

It is usually said that technical solutions should operate ethically, in compliance with the law and subject to good governance principles. In this position paper we face the problem of behavioural compliance and law enforcement in the case of hate speech and extremism online. Law enforcement and behavioural compliance are ways of coping with the objective of stopping the spread of hate and radicalisation online. We contend that a combination of regulatory instruments, incentives, training, proactive self-awareness and education can be effective to create legal ecosystems to improve the present situation.
Identification of Potential Landslides Area of Sukabumi, West Java Using Gravity Anomalies and Classification of Support Vector Machine

Landslides are one of the natural disasters that have claimed many victims ranging from property to lives. In an effort to reduce losses caused by landslides, it is important to carry out disaster mitigation processes. Mitigation that will be discussed is in the form of identifying potential disaster zones using gravity geophysical methods and remote sensing. The research was conducted in the Sukabumi area, West Java, which is a densely populated area and part of the Bandung Zone and the Southern Mountain Zone according to Van Bemmelen (1949). The method used is the gravitational anomaly method with Second Vertical Derivative (SVD) analysis and optical image analysis with the Support Vector Machine (SVM) classification to produce a map of the distribution of landslide potential in the Sukabumi Regency.
Approximate Maximum Halfspace Discrepancy.

Consider the geometric range space $(X, \mathcal{H}_d)$ where $X \subset \mathbb{R}^d$ and $\mathcal{H}_d$ is the set of ranges defined by $d$-dimensional halfspaces. In this setting we consider that $X$ is the disjoint union of a red and blue set. For each halfspace $h \in \mathcal{H}_d$ define a function $\Phi(h)$ that measures the difference between the fraction of red and fraction of blue points which fall in the range $h$. In this context the maximum discrepancy problem is to find the $h^* = \arg \max_{h \in (X, \mathcal{H}_d)} \Phi(h)$. We aim to instead find an $\hat{h}$ such that $\Phi(h^*) - \Phi(\hat{h}) \le \varepsilon$. This is the central problem in linear classification for machine learning, in spatial scan statistics for spatial anomaly detection, and shows up in many other areas. We provide a solution for this problem in $O(|X| + (1/\varepsilon^d) \log^4 (1/\varepsilon))$ time, which improves polynomially over the previous best solutions. For $d=2$ we show that this is nearly tight through conditional lower bounds. For different classes of $\Phi$ we can either provide a $\Omega(|X|^{3/2 - o(1)})$ time lower bound for the exact solution with a reduction to APSP, or an $\Omega(|X| + 1/\varepsilon^{2-o(1)})$ lower bound for the approximate solution with a reduction to 3SUM. A key technical result is a $\varepsilon$-approximate halfspace range counting data structure of size $O(1/\varepsilon^d)$ with $O(\log (1/\varepsilon))$ query time, which we can build in $O(|X| + (1/\varepsilon^d) \log^4 (1/\varepsilon))$ time.
Temporal Semantics Auto-Encoding based Moving Objects Detection in Urban Driving Scenario.

Detecting moving objects from a moving vehicle is a challenging problem and crucial for autonomous driving, especially in urban scenarios. The current literature has focused on this task as many approaches have been dedicated to moving object detection. These approaches consist of multistage pipelines, including semantic segmentation and optical flow estimation, and require multiple sources of information from active and passive sensors. However, they fail to accurately segment moving objects due to the large ego- camera motion, in addition to the high processing time. In this work, we propose a novel approach to moving object detection by processing information only from a camera. Our approach is based on integrating an encoder-decoder network (EDNet) with a semantic segmentation model (Mask R-CNN), where Mask R-CNN detects the objects of interest and the EDNet classifies their motion (moving/static) over two consecutive frames. We compare the results of our proposed model with existing MOD models on three SOTA benchmarks. We achieved SOTA performance in terms of visual quality and accuracy with competitive speed.
Intelligent Identification of Fake Accounts on Social Media

The paper presents an original research of fake accounts on social media using an artificial neural network for their identification. Specifically designed and implemented application was used to identify specific features of fake accounts and study the principles and reasons of their generation. Considering the possible use cases and scenarios of its practical use including everyday social media surfing there was examined a possibility to implement a mobile application based on Java in the Android Studio programming environment. Based on the study of 500 real and 500 fake VKontakte accounts there was determined a number of conclusions on the original features of fake accounts. The provided research allowed extending the list of criteria for identifying fake accounts by an original set of patterns. The developed conclusions allow formulating the statements on what criteria can be used for further identification of fake accounts in practical applications.
Gradient Cat Boost Classification for Enhancing the Vital Values of Pre-Term Neonatal Using Clinical Dataset

Childbirth is the most wonderful moment for a mother. It is not only a wonderful moment, it is a rebirth for a woman with the reperfusion of every cell  by giving rise to a new offspring .It is not only an ending of pregnancy but a beginning of a new life of a bud. In NICU, Apnea is the most highly witnessed issue which we come across. It can be solved by identifying the clinical presentation of the preterm neonate by giving proper oxygen management and drugs accordingly. Neonatal babies are monitored continuously which is not equipped with a computer-aided system so far. So they decided to bring optimised machine learning to improve the data quality and predict the missed data values. The machine learning method will predict the accurate values and helps in short time complexity to save a life properly through NICU dataset from Data warehousing storages which handles complete hospital data. Datamart is a part of data warehousing, which carries the NICU datasets. Positive and negative apnea cases can be identified through a hyperplane. Multicollinear Gradient CatBoost Classification (MGCC) method helps to predict the level of drug dosage for apnea cases and predicts the missing data of apnea cases. MGCC will handle unknown data taken in the account to retrieve as predicate data to form the decision tree through GCC. Diagnosis of neonatal diseases should be done correctly, without any false data. This proposed approach plan to predict neonatal apnea cases as well as reduce the time and enhance the performance accuracy.
Development of School Library Collection at SDN 11 Central Singkawang

Background of the study: Every education can provide educational information institutions that can be through the library. The library is an institution that has the main task as a provider of information both in print and electronic form. Collection development in a library is an activity that is very important and must be done, as is the case with libraries in schools. In general, the school library is needed in the school environment as a support for the success of the teaching and learning process&#x0D; Purpose: This study aims to determine how the process in developing the existing collections at the SDN 11 Central Singkawang Library.&#x0D; Method: This research was conducted using a qualitative descriptive method through direct interviews via whatsapp and telephone to the principal and an operator at SDN 11 Central Singkawang.&#x0D; Findings: Based on the results of the study, it can be seen that, collection development consists of user analysis activities (community analysis), collection development policies, library material selection, acquisition, weeding library materials, and evaluation.&#x0D; Conclusion: The school library of SDN 11 Central Singkawang has developed its collection according to procedures, although it has not been carried out optimally because it has not set a specific collection development policy.