Reviewerly/exHarmony huggingface dataset:
Fitness trackers: understanding how user experience impacts motivation

Fitness trackers have become a popular technology for the fitness industry within thewearable market. Fitness trackers provide a unique user experience in that they are ubiquitousand provide instantaneous biometric data to users. However, the market is oversaturated withmany devices ranging from fitness trackers strictly used for tracking biometric data, andsmartwatches that are an extension of a mobile device. Furthermore, despite their popularity,users are quick to abandon fitness trackers. There is little research that understands how the userexperience of fitness trackers assists in creating positive exercise routines for users and whyusers adopt these devices for long term. The goal of this thesis is to understand how the usability,design, and social features provided by fitness trackers affects the user experience, which ofthese factors drive users toward long-term adoption or abandonment of their devices, and providerecommendations for fitness tracker designers and product developers to improve the userexperience.
INFORMATION TECHNOLOGY AND THE FUTURE OF LEGAL EDUCATION: A PROVOCATION

This short paper explores, albeit in a preliminary fashion, challenges to legal education arising from the significant and radical impact of new information and communications technologies (ICTs) on law and legal practice. It uses the pervasiveness of ICTs to reframe the question of ‘law and technology’ from a philosophical perspective that sees information technology as an “environmental force” [1] that is capable of re-shaping our identity, agency and social relations, and hence constitutes a very significant means through which we make sense of the world. [2] The key question the paper poses thus emerges: how should we design the law curriculum when the law-technology relation is itself understood as a critical part of a continuing and profound transformation in what it means to be both a lawyer, and a human being? [1] Luciano Floridi (ed), The Onlife Manifesto. Being Human in a Hyperconnected Era (Springer, 2015) 1; Luciano Floridi, The 4th Revolution: How the Infosphere Is Reshaping Human Reality (Oxford University Press, 2014). [2] This contrasts with the broad but more limited, functional, orientation to technology which defines it (eg) as “any tool or technique, any product or process, any physical equipment or method of doing or making, by which human capability is extended” - Donald A Schon, Technology and Change: The New Heraclitus (Delacorte Press, 1967) 1.
Magnetic nanoparticles of zinc/calcium ferrite functionalized with silver clusters for photodegradation of dyes

This work was supported by the Portuguese Foundation for Science and Technology (FCT) inthe framework of the Strategic Funding of CF-UM-UP (UID/FIS/04650/2013 and UID/FIS/04650/2019) and throughresearch Project PTDC/QUI-QFI/28020/2017 (POCI-01-0145-FEDER-028020) also funded by FEDER, Portugal2020and COMPETE2020.
Quantifying Self-guided Repetition Within an Interactive Textbook for a Material and Energy Balances Course

Interactive technology has quickly integrated into daily lives through handheld electronics and the Internet.Here, an interactive textbook replacement from zyBooks for a material and energy balances course has been used in recent years.While features of the interactive textbook were highlighted previously, including animations replacing figures and question sets in lieu of large blocks of text, student usage will be the focus of this contribution.Similarly, reading analytics have been presented previously with average reading rates of 87 and 93% for 2016 and 2017, respectively (n = 100 in 2016 and 88 in 2017).While these reading rates surpass rates of less than 30% reported for traditional textbooks, new research questions are asked based on large sets of web analytics generated by students using/reading the interactive textbook.First, for one cohort in 2017, almost 8,000 animation views were completed, i.e., all steps were clicked and watched.The utility of an interactive textbook to provide repetition will be explored.Analysis will also be provided for students' attempts and success when completing auto-graded homework problems within randomized numbers and content within the interactive textbook.For the 2017 cohort, over 170 auto-graded questions were assigned to the students generating over 40,000 attempts.New findings related to the types of questions needing the most attempts before correct will be presented.Finally, questions -and the related concepts -will be identified that students completed large numbers of attempts after answering the question correctly and earning their grade, i.e., performing self-guided repetition.
Taylor Library: MLA Style: MLA Style Guidelines

This guide covers the basics of the 8th edition of the MLA Style Manual and includes sample citations and additional resources. Find examples and information about how to use the MLA Guidelines and format your references
Classification of Audio Codecs in Telecommunication Networks

Nowadays, with the spread of communication networks, the demand to transmit multimedia data has significantly increased. So, the knowledge about data type which is transmitted through the network is an important issue for monitoring communications and preventing transmission of malicious data. A typical identification system attempts to identify the type of transmitted coded data through classification within a predefined set. The classification is usually based on some relevant features extracted from the received bit stream. Most of the researches in this field consider a few kinds of image codec in their classification problem. In this paper, an efficient identification system is proposed for classification within ten different images codecs. The proposed system is based on combination and extension of existing methods. According to simulation results, image codecs are classified with average accuracy of 88.90%. Among various codecs, GIF and BMP have the highest accuracy of 99.3% and 92.5%, respectively. On the other hand, FLIF and WEBP have the lowest accuracy 83.3% and 83.6%, respectively.
Ray W. Howard Library: Stable Links: Catalog

This guide will cover proxy prefixes and the use of building URLs that will work for both on campus and off campus users within the Shoreline Community College information systems. The information here reflects the changes being made to our certificates This is how to link directly to items in the library's current catalog, Ex Libris Primo or fix links that go to our Voyager catalog.
3-D measurement based on phase-shifting using calibration of light plane

Based on the phase-shifting fringe scanning projection technique using MEMS galvanometer, the threedimensional shape measurement of the object can be realized. However, we found that the experimental results were more sensitive to some experimental parameters. To avoid it, we introduced a light plane calibration model in the threedimensional measurement system. This calibration model avoids the physical measurement of some experimental parameters, and at the same time makes the operation more convenient and faster, and improves the stability and operability of the experiment. Through the detection experiment of the plane, the relative root mean square relative error of the obtained result is 9.155mm, which is greatly improved compared with the previous experimental results, but the result is still not ideal. We discuss some factors affecting the accuracy of the system which can be improved in the future. The experiment proved its feasibility and potential, and the Powell prism and MEMS galvanometer selected are small in size. The dimensions of Powell prism and MEMS galvanometer are 9.0mm 8.0mm and 2.5mm 3.0mm respectively. The miniaturization of equipment is very advantageous for achieving integration and maintenance of the device.
Sentimental Analysis – Emoji prediction

Emojis can be expressed to show the emotional and sentimental feelings in terms of graphical symbols which can add weightage to the text statement. Emojis have been widely used in social media and chat conversation on both web as well as mobile applications. With usage of emojis, the textual communicating statements will be more expressive & effective. Therefore, it is important to mine the relationship between the text & emoji symbols. By using the advanced machine learning techniques, related emojis can be suggested automatically while understanding the real context of the statement. In this paper, I present a neural network methodology to predict appropriate emoji symbol for a given textual statement and the machine learning model is built by using word vector representations & deep learning frameworks. Model is created by using Global Vector (GloVe) embedding representation, combination of long short-term memory (LSTM) network and convolutional neural network (CNN) and softmax layers. Algorithm is able to generalize and associate words in the test set finds the proper emoji symbol even. The model becomes an accurate classifier mapping from sentences to emoji symbols, even if the words do not appear in the training set
La tecnología educativa como herramienta para la preparación de los profesionales de la primera infancia

Information and Communication Technologies (ICT) have become very useful tools in the educational field. It is important that the teacher as mediator and guide of the educational process, is trained and take as a pillar of their work paradigms that allow participation and logical reasoning. At the same time, technologies allow creating environments not only rich for learning, but also active and creative, where the student in the interaction with learning objects, and with their peers, acquire skills and abilities. The objective of this study is to demonstrate how educational technology is a necessary tool for the preparation of early childhood professionals.
Dynamic Aleatoric Reasoning in Games of Bluffing and Chance

Games of chance and bluffing, such as bridge, The Resistance, and poker allow epistemic reasoning. Players know their own cards while being uncertain of opponents'. Success generally involves reducing your uncertainty without reducing that of your opponents. Reasoning in such games requires a mix of logical (deducing what is possible) and probabilistic (what is likely). We present a \em dynamic aleatoric logic for epistemic reasoning in such games.
uDCLUST: A novel algorithm for clustering unstructured data

Data that has been arranged and systematized into an organized and formatted repository, usually a database, so that its elements and essential features and can be made directly accessible for more powerful and adequate processing and analysis is known as Structured Data. Un-structured data is data that doesn’t fit accurately in a traditional database and has no identifiable internal structure and a predefined data model. We cannot perform different operations like update, insert and delete on un-structured data. Clustering is a process of unsupervised learning and is the most common method for mathematical and demographic data analysis. It is the main task of preliminary data mining, and an ordinary technique for statistical data analysis, mathematical data analysis, demographic data analysis, used in many fields, including ML (Machine Learning), recognition of patterns, analysis of images, retrieval of information, bioinformatics, compression of data and computer graphics. Available clustering algorithms have the difficulty to determine the number of clusters in a dataset and also are difficult to cluster outliers even that have common groups. A final related drawback arises from the shape of the data cluster where it is difficult and complex to cluster non-spherical and overlapping datasets. In this framework, we intended and designed an algorithm called uDCLUST (Un-structured Data Clustering), which identifies an appropriate number of clusters in unstructured data as well as cluster outliers easily with non-spherical and overlapping datasets.
Comparison of typical meteorological year and on-site measurements for solar PV site selection

The standard approach whensimulating photovoltaic output is to employTypical Meteorological Year (TMY) data sets.This paper uses statistical analyses toinvestigate several TMYs. The objectives are:(1) to ascertain which TMY generation methodmost accurately reproduces solar conditions inthe UK; (2) to discover the minimum timeresolution at which TMYs delver reliableresults; and (3) to determine if there are anycircumstances in which TMYs can replacelong-term time series.
LibGuides: Collection Development & Analysis: Home

This is where you will find analysis information which will help you determine what to purchase for your discipline.
Integrating Mathematics, Science, Technology, and Environment in Ethiopian Education: A Systematic Review

The objective of this short review was to present some analysis of the status of Integrating Mathematics, Science, Technology, Society and Environment in Ethiopian Educational system. The growth of mathematics, science, and technology in recent decades has had significant effects on environment and the designed world to improve human living standards, and the lives of other organisms on the planet. Moreover, by making life easier, Mathematics, science and technology has given man the chance to pursue societal concerns in the environment. That is why Ethiopian government’s education system and a manifestation of overall country development endeavor is emphasis on Science, Technology, Engineering and Mathematics (STEM). However, the integration of STEM with environmental care in our curriculum was/is not promising or has confines. Therefore, police makers and the whole citizens are expected to able to use science, technology, and mathematics, to improve their lives, the lives of others and the lives of other organisms on the planet with environmental care.
PHP Evolution - Present and future

And is that the future sixth version of the language, which had been planned since mid-2005, has been suffering from delays for a while, mainly due to the ambitious nature of the project and the problems with the full support of Unicode
RTL Design, Verification and Synthesis of Secure Hash Algorithm to implement on an ASIC Processor

In this project we are comparing different architectures and adding the features that increases the efficiency of our architecture. Few of them are including multiplexers in the message digester, using different adder architectures in the required places, reducing the critical path by breaking the longest path and making them to operate parallelly. Use of multiplexers reduces the number of registers required in the message expander. It simply transfers the output of expander to compressor block in every clock cycle. Whenever the number of cycle is greater than 16, the multiplexer switches the select line so that the computed message digest to send as output to the compressor. Using of a carry save adder and adder array takes lesser time to perform addition than a pair of adders array. Finally we all know that reducing the critical path reduces the overall operation time and hence increases the efficiency. Considering all these factors in the design we are designing the microarchitecture for SHA-256 algorithm and obtain the RTL code for that architecture. We have also verified the design by designing a test-bench, and finally synthesized the design.
Flexible Parallel Bar for Physiotherapy Purposes

The utilization of parallel bars in rehabilitative and active recuperations is crucially critical in the medicinal services calling. Parallel bars are utilized to enable individuals to recover their quality, adjust, scope of movement, and freedom. For individuals recouping from wounds, ailments, and other crippling conditions, parallel bars are importance things of active recuperation, recovery, and exercise hardware. However, there are some obstacles while adjusting the bar height according to patient’s height. This is because the height of bar is adjusted manually by a physiotherapist. It will take time before the patient’s allowed to use it. Therefore, Flexible Parallel Bar is designed to address this problem. This design consists of a control unit that will control bar on the left and right. Control panel comprises a selection switch (left and right) and up/down button. Forward reverse motor is used to downward and upward the shaft according to the desired height. In addition, the parallel bar design is portable. This allows the family member assemble the parallel bar at home. This can save time to commute from home to a physiotherapy center where as the physiotherapy exercises can be done at home or everywhere that request by patient.
Pengembangan Buku Pengayaan Konservasi Daerah Aliran Sungai (DAS) Sebagai Dasar Pengetahuan Kebencanaan Untuk Siswa Kelas X Di SMA N 1 Jatinom

This study is aimed to: (1) Knowing the development of watershed conservationenrichment book as the basis for disaster knowledge, (2) Knowing the effectiveness ofwatershed conservation enrichment book as the basis of disaster knowledge for thetenth grade students at 1 Senior High School of Jatinom. The development model usesthe design from Borg and Gall. The design of the study used randomized pretest andposttest control group design with 72 respondents. The study was conducted at 1Senior High School of Jatinom with the sampling technique using purposive randomsampling by two research classes, namely 1 class as the control class and 1 class as theexperiment class. The technique for analyzing data using paired sample t- test. Thedifference in the results of understanding of watershed conservation material in thecontrol class and experiment has increased, but the significant increase occurred in theexperimental class. The average value of the control class pretest was 43, 89 and posttest was 70.14 increase the experienced in learning outcomes by 51%. While, theaverage value of the experimental class pretest was 40.56 and posttest was 79.03increase the experienced in learning outcomes by 77%. The results of the T-test testshowed that the significant value (2-tailed) that is 0,000 which means less than 0.05so that H₀ is rejected and H₁ is accepted.Keyword: Enrichment Books, Watershed, Media Development.
Non-invasive and low-cost technique for early detection of clinically relevant breast lesions using a handheld point-of-care medical device (iBreast): Prospective three-arm triple-blinded comparative study for breast cancer screening in low resource setting countries

Background: iBreast is an unique portable handheld non-invasive medical device which is developed in India to screen patients in rural and suburban areas. It employs a lead zirconate titanate piezoelectric cantilever sensor and can accurately detect abnormal areas by comparing the degree of deflection. Our tripled blinded study compares it with Clinical Breast Examination and Mammography and breast ultrasound. Methods: 1019 women visiting a tertiary Indian hospital, for annual health check were recruited. Each woman was examined by three independent methods, each blinded to the other two: iBreastExam (iBE), Clinical Breast Examination (CBE) by an expert clinician and Breast Imaging (mammography or breast ultrasound). Results: Out of 916 enrolled participants, 93 were confirmed by imaging to have at least one breast lesion. Clinical Breast Examination in comparison with imaging detected breast lesions with Sn = 65 %, Sp = 94 %, PPV = 52 %, NPV = 96 %, and iBreastExam reported Sn = 84 %, Sp = 94 %, PPV = 60 % and NPV = 98 %. In women below age 40 (314 participants), iBE detected breast lesions with Sn = 85 %, Sp = 93 %. All malignant lesions were identified by iBE, while one non-palpable malignant lesion was missed by clinician CBE. Conclusions: The point-of-care Breast Imaging device (iBreastExam) performed with significantly better sensitivity, by 19 %, than CBE to detect breast lesions while reporting high specificity (94 %) and NPV (98 %). In younger women population under the age of 40 years, where the prevalence of dense breast is high, iBreastExam demonstrated high-performance characteristics. iBreast- Exam detected all malignant lesions in this study, while the clinician’s CBE missed to detect a non-palpable malignant lesion. iBreastExam can be a promising tool to provide clinically effective and standardized breast examinations in low-resource settings to detect breast lesions at early stages. The device can also be an effective screening tool for younger women with dense breasts. Legal entity responsible for the study: Manipal Coprehensive Cancer Center. Funding: Has not received any funding. Disclosure: The author has declared no conflicts of interest.
Building Knowledge for AI Agents with Reinforcement Learning

Reinforcement learning allows autonomous agents to learn how to act in a stochastic, unknown environment, with which they can interact. Deep reinforcement learning, in particular, has achieved great success in well-defined application domains, such as Go or chess, in which an agent has to learn how to act and there is a clear success criterion. In this talk, I will focus on the potential role of reinforcement learning as a tool for building knowledge representations in AI agents whose goal is to perform continual learning. I will examine a key concept in reinforcement learning, the value function, and discuss its generalization to support various forms of predictive knowledge. I will also discuss the role of temporally extended actions, and their associated predictive models, in learning procedural knowledge. Finally, I will discuss the challenge of how to evaluate reinforcement learning agents whose goal is not just to control their environment, but also to build knowledge about their world.
LibGuides: CIS 311 - Management Information Systems: for Randy McCoy's students: Articles / Databases

This is a core class for the Bachelor of Business Administration in which most students get their first experience with using library research tools relating to business.
The adaptive use of the Freiburg monosyllabic test in noise

The Freiburg monosyllabic test has not been adaptively used yet. Therefore, in this study an adaptive procedure, which has proved itself in sentence tests, was transferred to the Freiburg monosyllabic test in noise. The results of the new procedure have been compared with the Oldenburg sentence test as standard of the sentence tests.
Empathic Agents: A Hybrid Normative/Consequentialistic Approach

Complex information systems operate with increasing degrees of autonomy. Consequently, such systems should not only optimize for simple metrics (like clicks and views) that reflect the system provider's preferences but also consider norms or rules, as well as the preferences of other agents that are affected by the systems' actions. As a means to achieve such behavior, we propose the design and development of empathic agents that use a mixed rule/utility-based approach when deciding on how to act, considering both their own and others' utility functions. The agents make use of formal argumentation to reach an agreement on how to act in case of inconsistent beliefs. A promising domain for applying our empathic agents is recommender systems.