Reviewerly/exHarmony huggingface dataset:
(Keynote) Blood, Sweat and Tears... – Sensing of Human Performance Biomarkers in Bodily Fluids Using Point-of-Use Devices

Hormones produced by glands in the endocrine system and neurotransmitters produced by the nervous system control many bodily functions. The concentrations of these molecules in the body are an indication of its state, hence the use of the term biomarker. Excess concentrations of biomarkers, such as cortisol, serotonin, epinephrine, dopamine, are released by the body in response to a variety of conditions - emotional state (euphoria, stress), disease, etc. The development of simple, low-cost modalities for point-of-use (PoU) measurements of biomarkers levels in various bodily fluids (blood, urine, sweat, saliva) as opposed to conventional hospital or lab settings is receiving increasing attention. The presentation starts with a review of the basic properties of primary stress-related biomarkers: origin in the body (i.e. if they are produced as hormones, neurotransmitters or both), chemical composition, molecular weight (small/medium size molecules and polymers, ranging from ~100Da to ~100kDa), hydro- or lipo-philic nature. Next, a review of the published literature is presented regarding the concentration of these biomarkers found in several bodily fluids that can serve as the medium for determination of the condition of the subject: blood, urine, saliva, sweat and, to a lesser degree, interstitial tissue fluid. The concentration of various biomarkers in most fluids covers a range of 5-6 orders of magnitude, from 100s of ng/mL (~1µM) down to a few pg/mL (sub 1pM). Mechanisms and materials for point-of-use biomarker sensors are summarized and key properties are reviewed. Illustrative examples from the literature are discussed for several sensor device categories, including lateral flow (immuno)assay devices and microfluidic devices. Selected methods for detecting these biomarkers are reviewed, including antibody- and aptamer-based colorimetric assays, electrochemical and optical detection. Finally, the presentation outlines key challenges of the field and provides a look ahead to future prospects. A. J. Steckl and P. Ray, “A Review of Stress Biomarkers Concentrations in Bodily Fluids and Their Point-of-Use Detection”, ACS Sensors , 3 (10), 2025-2044, Sept 2018 ( 10.1021/acssensors.8b00726 ) V. Venkatraman and A. J. Steckl, “Quantitative Detection in Lateral Flow Immunoassay Using Integrated Organic Optoelectronics”, IEEE Sensors , 17 (24), 8343, Dec 2017 ( 10.1109/JSEN.2017.2764178 ). P. Ray and A. J. Steckl, “Label-Free Optical Detection of Multiple Stress Biomarkers in Sweat, Plasma, Urine and Saliva”, ACS Sensors 4 , 2019 . ( 10.1021/acssensors.9b00301 ) S. Dalirirad and A. J. Steckl, “Aptamer-Based Lateral Flow Assay for Point of Care Cortisol Detection in Sweat”, Sensors &amp; Actuators 283 , 79-86, Jan 2019 ( https://doi.org/10.1016/j.snb.2018.11.161 ). Figure 1
AFTERLIFE

The Yale ReviewVolume 107, Issue 3 p. 46-46 POETRY AFTERLIFE RICHARD KENNEY, RICHARD KENNEY Teaches in the M.F.A. program at the University of Washington.Search for more papers by this author RICHARD KENNEY, RICHARD KENNEY Teaches in the M.F.A. program at the University of Washington.Search for more papers by this author First published: 05 July 2019 https://doi.org/10.1111/yrev.13518AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume107, Issue3July 2019Pages 46-46 RelatedInformation
M-Denclue for Effective Data Clustering in High Dimensional Non-Linear Data

Clustering is a data mining task devoted to the automatic grouping of data based on mutual similarity. Clustering in high-dimensional spaces is a recurrent problem in many domains. It affects time complexity, space complexity, scalability and accuracy of clustering methods. Highdimensional non-linear datausually live in different low dimensional subspaces hidden in the original space. As high‐dimensional objects appear almost alike, new approaches for clustering are required. This research has focused on developing Mathematical models, techniques and clustering algorithms specifically for high‐dimensional data. The innocent growth in the fields of communication and technology, there is tremendous growth in high dimensional data spaces. As the variant of dimensions on high dimensional non-linear data increases, many clustering techniques begin to suffer from the curse of dimensionality, de-grading the quality of the results. In high dimensional non-linear data, the data becomes very sparse and distance measures become increasingly meaningless. The principal challenge for clustering high dimensional data is to overcome the “curse of dimensionality”. This research work concentrates on devising an enhanced algorithm for clustering high dimensional non-linear data.
Intelligent Systems

This chapter addresses the ways in which human intelligence in routine and partly routine jobs can be augmented rather than replaced. The design of aids should begin with defining the user experience, proceed to designing the user interface to support this experience, and then focus on the enabling technologies. Intelligent aids should be considered for enhancing human performance; the extent of success will depend on the domain of application and the potential performance of the aid. Intelligent aids are inherently model based, drawing upon symbolic logic, mathematical paradigms, and/or statistical models; understanding the underlying modeling assumptions is key to establishing confidence in and trust of such aids. Intelligent systems technology has much promise but also many perils that warrant attention; its prospects depend on well-reasoned strategies for development and adoption.
Student’s personally activity in learning as a category of higher school didactic (years 60 — 80)

Discussed is genesis of the complex phenomenon of “student’s personality activity in learning” with formation of the terminological apparatus of higher school didactics. The student’s personal activity in learning is necessary condition for development of his personality and a fundamental principle of pedagogical activity. To reform the modern practice of the educational process, the idea of activity needs theoretical and technological researches, while the scientific fund could be significantly enriched with theoretical experience of the past.
Supplemental material: Geochemical study of Cenozoic mafic volcanism in the west-central Great Basin, western Nevada, and the Ancestral Cascades Arc, California

Sample locations, GPS coordinates, and geochemical data.
PIECES FRAMEWORK ON THE IMPLEMENTATION OF RAPID ENUMERATION AND EVALUATION INFORMATION SYSTEM OF 2020 POPULATION CENSUS

In September 2020, Statistics Indonesia (BPS RI) carried out a major activity, namely the 2020 Population Census At the SP2020 data processing stage, Mobile Capture is one of the options for photographing data collection results. During the use of mobile capture, BPS West Java Province encountered several obstacles. West Java Province BPS created an application called the Rapid Enumeration dan Evaluation 2020 Population Census Information System (Sicepat32 SLS) to monitor the attainment of enumeration to the smallest level (local environmental unit). To find out whether Sicepat32 SLS is working and functioning properly, it is necessary to evaluate the performance of the information system. The purpose of this study is to measure the level of user satisfaction with the application of Sicepat32 SLS and to assess whether Sicepat32 SLS can meet the needs of users. In this study, the PIECES Framework analysis model will be used and has produced an assessment score in the Performance domain of 4.07; Information and Data of 4.17; Economy 4.1; Control and Security with a score of 4.03; Efficiency with a score of 4.18 and Service getting a score of 4.18
Geology, mineral associations, and composition of native gold in mineral deposits of Taimyr–Severnaya Zemlya Orogen

Diverse grain sizes and morphologies, chemical composition, and productive mineral associations of native Au from new mineralizations within two mineragenic areas (Mininsk–Bolshevik miogeocline, Shrenk–Faddeev accretionary) in Western and Central Taymyr, are indicative of a complex, multi-component composition of ore-forming systems and differences in the physical and chemical conditions of formation of gold ore mineralization. The obtained data on the characteristics of native Au, combined with peculiarities of the geological structure of the objects, suggest a significant gold ore potential of central sector of the Russian Arctic.
Roadmap: Digital security in businesses

Digital security incidents expose individuals, businesses and governments to a variety of risks and attacks that target digital-dependent critical infrastructures and essential services such as energy, transport, finance and health. They can undermine business competitiveness, the ability to innovate and position in the marketplace and threaten the core functioning of economies and societies. Effective digital security risk management is essential for businesses to be able to minimise the frequency and negative impact of these incidents and thereby take advantage of and thrive during digital transformation.
Comparative Analysis of Swift and Go Programming Languages

Programming languages are the way developers communicate with computers.In the past two or three decades, multiple languages have evolved.Today, a common topic for discussion among software engineers is the comparison of these programming languages.Often times, questions or enquiries are made by students or people who wishes to venture into application development on which programming language will be more effective to learn and use for their programming.However, most times, good answers to these enquiries or questions are not easily found.This paper, presents a comparative analysis between two amongst the several programming languages we have.There two programming language compared in this paper are the go programming language and swift programming language.These languages are compared in terms of parameters such as speed, efficiency as per memory, compilation, usage, OS support and paradigm.
Introduction

Abstract 2021 1 st International Ninevah Conference on Engineering and Technology (INCET2021) was successfully held at Ninevah University, Mosul, Iraq during April 05-06, 2021. Due to the pandemic of COVID-19, the organizing committee and scientific committee decided to follow the guidelines of World Health Organization (WHO), and local government agencies on the current situation. Thus, the INCET 2021 was held virtually this year. All sessions that were held on day 1 and day 2 of the conference schedule were conducted successfully through online platform (Zoom Webinar). The main target of INCET 2021 was to provide an opportunity for researchers and professionals from electronics and electrical engineering (EEE) fields and with cross-disciplinary interests to circulate information on the latest developments of the electronics and electrical engineering. Keynote speakers from United State of America, United Kingdom and Australia were invited to deliver their latest information in electronics and electrical engineering fields. The keynote speakers presented various topics and discussed various challenges in electronics and electrical engineering fields. In this proceeding, papers selected from various submitted papers to the conference and from many universities and industries. All submitted papers were subjected to double-bind peer-review by international reviewers and members of conference committees. In this proceeding, papers were selected based on their originality, novelty, quality and relevancy to the conference. This proceeding presents to the readers the recent various fields of electronics and electrical engineering such as Electronics Engineering, Communication Engineering, Wireless and Mobile Communication, Information Technology, Computer Science and Engineering, Embedded Systems, Control Engineering, Power Electronics, Solid state Engineering and Robotics and Automation. List of Conference Chairman and Co-Chairman, Conference Committees, Organizing and E-Management Committee, Scientific Committee, International Advisory Committee are available in this pdf.
Security in wireless sensor networks : implementation of Misty1 cipher in TinySec library

&lt;p&gt;Communication security is key to widespread adoption of wireless sensor networks. Coupling this need with the typical resource constraints encountered, TinySec was introduced by a group from UC Berkeley for the open source and highly popular TinyOS – a platform designed for wireless embedded sensor networks. Prior to this project the TinySec security implementation was provided with 2 ciphers, namely Skipjack and RC5. The library being modular in design afforded the opportunity to replace the cipher subcomponent with one of our choice, Misty1 in our case. Misty1 is a block cipher based on nested Feistel network with variable number of rounds (typically 8). It uses a 128-bit sized cryptovariable and block size of 64 bits. Designed on the basis of the theory of provable security against differential and linear cryptanalysis, the cipher is intended to allow realization of high-speed encryption on hardware platforms as well as on software environments. The new cipher implementation within TinySec was tested using 2 sample applications and run inside TOSSIM – a discrete event simulator environment for TinyOS. With the addition of Misty1, TinySec library users now have an additional choice as regards the cipher.&lt;/p&gt;
In the News

Welcome to the July/August 2019 issue of C&amp;RL News. Following the ACRL 2019 conference this April, Recasting the Narrative is still on the minds of many ACRLers. In this month’s Scholarly Communication column “Renewing the system,” 2019–20 ACRL President Karen Munro discusses why it is important to examine the scholarly communication system in order to make it more equitable.
Hybrid Cloud Storage For Secure Authorization And Information Hiding

Distributed database plays a vital feature in every day life because of the fact inside the present technology, commercial organization environment is growing at very fast fee so our fundamental desire is to get reliable statistics from any supply. Since our database is sent, way facts is placed at exceptional geographical locations and sooner or later lets in to without issues access our precious &amp; precious information. We advise an architecture that integrates cloud database offerings with information integrity and the opportunity of executing concurrent operations on encrypted statistics. It is the solution helping geographically dispensed customers to attach without delay to an encrypted cloud database, and to execute the concurrent and the impartial operations together with the ones editing the database shape. Distributed database is the emerging technique which focuses on concurrency control and safety problems underneath this allocated database. In this studies work, information safety is greater via the usage of NTRU (N-th degree Truncated polynomial Ring Unit or Number Theory Research Unit) uneven key set of rules in which the wonderful keys are used for encryption of plaintext and decryption of cipher text. These keys are named as public and private keys. NTRU being speedy and cozy hashing set of rules to be able to offer more security to the gadget, in terms of throughput and their processing tempo. Its essential traits are the low memory and computational necessities as providing a immoderate security degree. It is a totally well-prepared public-key cryptosystem. MD5 hash feature is also used for checking data integrity sooner or later of the authentication manner.
Book Review: The Role of the Electronic Resources Librarian

The eight chapters covered in this text give a detailed history about how the role of electronic resource (e-resource) librarians (ERLs) has evolved over the past several decades as libraries have shifted to an online environment. It covers the challenges faced from 1992 when the ERL title was first used, to 2019 where academic libraries are still a hybrid of print and electronic materials. The book is organized into eight chapters with three appendixes. The introduction gives a brief overview on the development of ERLs and a clear synopsis of chapters, which are a nice progression of how the ERL position has developed since the 1990s; how it has been represented in organizational structures across academic libraries; how it has handled a variety of obstacles (technology, expanding skill sets, budget constraints, etc.); and how it maps to current trends in managing e-resources.
Return Time Probability Distribution of a Finite Markov Chain

In this paper we have considered a finite discrete Markov chain and derived a recurrence relation for the calculating the return time probability distribution. The mean recurrence time is also calculated. Return time distribution helps to identify the most frequently visited states. Return time distribution plays a vital role in the classification of Markov chain. These concepts are illustrated through an example.
Vector Autoregressive (VAR) Model for Rain-Fall Forecasting in West Java Indonesia at the Peak of the Rainy Season

Rain is a natural event that occurs in every region. Rainfall intensity in several regions that are close together indicates the same rainfall pat-tern each year, especially during the peak of the rainy season. Time series modeling that uses more than one variable can be used to see the relationship between the rainfall patterns. Vector Autoregressive (VAR) is a multivariate time series method that is used to see the relation-ships between variables and to forecast. The data that is used in this study are monthly rainfall data at the peak of the rainy season (December, January, February) in three locations in West Java, namely Bandung City, Cimahi City, and West Bandung Regency with a period of time from December 1981 - February 2017. Based on the results of the analysis, it shows the similarity of rainfall patterns from the three locations based on plot data and high correlation values between locations. The appropriate VAR model is VAR(3) based on the smallest AIC value and has an average MAPE value 18,817 percent.
Conference reports

In this new installment, Daniele Gorla ("Sapienza" University of Rome) reports on LICS 2021, the 36th ACM/IEEE Symposium on Logic in Computer Science,1 for which he served as general chair.
Shape the future together! : IV. BBS International Sustainability Student Conference Proceeding

The book of full paper
PENERAPAN MODEL WATERFALL DALAM SISTEM UJIAN SEKOLAH BERBASIS WEB PADA SMK WIRA BUANA I BOGOR

Examination and repetition of activities such as midterm tests, semester tests and class increase examinations at SMK Wira Buana 1 Bogor are still manual, namely using paper, this is felt to be less effective because it takes a lot of costs, time, place and personnel in its implementation and still exists cheating students in carrying out the exam. In addition, the development of information technology and systems in the world of education is increasing, one example is the Computer Based National Examination (UNBK) also called the Computer Based Test (CBT), which is a system of implementing national examinations using computers as a test medium. This is the background of the author to make a web-based school exam information system there is SMK Wira Buana 1 Bogor. The method used in designing this web-based examination system is the waterfall method which is expected to be one of the breakthroughs in the running of the School Examination, both the Mid-Semester Examination and the Semester Final Examination which can reduce the operational costs of activities. The School Examination Information System becomes a medium for students to practice computer-based exams that can be accessed by all students of Bogor Wira Buana 1 Vocational School so that they can improve readiness and familiarize students in facing Computer-Based National Exams and provide convenience for schools in conducting examinations and providing speed in getting the test result score.
Retrieval of Video Contents based on Deep Parameter Analysis using Machine Learning

In the recent past, video content-based communication hasincreases with a significant consumption of space and time complexity.The introduction of the data is exceedingly improved in video information as the video information incorporates visual and sound data. The mix of these two kinds of information for a single data portrayal is exceedingly compelling as the broad media substance can make an ever-increasing number of effects on the human cerebrum. Thus, most of the substance for training or business or restorative area are video-based substances. This development in video information have impacted a significant number of the professional to fabricate and populate video content library for their use. Hence, retrieval of the accurate video data is the prime task for all video content management frameworks. A good number of researches are been carried out in the field of video retrieval using various methods. Most of the parallel research outcomes have focused on content retrieval based on object classification for the video frames and further matching the object information with other video contents based on the similar information. This method is highly criticised and continuously improving as the method solely relies on fundamental object detection and classification using the preliminary characteristics. These characteristics are primarily depending on shape or colour or area of the objects and cannot be accurate for detection of similarities. Hence, this work proposes, a novel method for similarity-based retrieval of video contents using deep characteristics. The work majorly focuses on extraction of moving objects, static objects separation, motion vector analysis of the moving objects and the traditional parameters as area from the video contents and further perform matching for retrieval or extraction of the video data. The proposed novel algorithm for content retrieval demonstrates 98% accuracy with 90% reduction in time complexity.
2nd Workshop on Cyber-Security Arms Race (CYSARM 2020)

The goal of CYSARM workshop is to foster collaboration among researchers and practitioners to discuss the various facets and trade-offs of cyber-security. In particular, how new technologies and algorithms might impact the cyber-security of existing or future models and systems.
Fortidens fremtid

Performing art is part of our national cultural heritage and in Norway we have good traditions for preserving the cultural heritage. For many years, however, performing arts was an art field where cultural heritage work was weak. During the last 10–15 years, this work has been strengthened. In this article, I will give an introduction to the work of a national digital performing arts archive that was developed during this period: Sceneweb – which is owned and operated by Performing Arts Hub Norway (PAHN). The Sceneweb database is a professional system adapted for the classification of performing art material. It is an object-based relational database which can function as an authority register and national standard for the recording of performing art material. In this article, I outline the choices that lie behind the development of this system, and for our national plan for the preservation and dissemination of archival material. I also explain our extensive cooperation with the National Library.