Reviewerly/exHarmony huggingface dataset:
Part of You is in Your Bot

Purpose: With the increasing importance of unbiased conversational agents, this research investigates how debiasing strategies can be used to prevent cognitive biases from impacting conversation agents in the development process. A research gap was identified in the literature of prevention strategies for the management of cognitive biases. Therefore, existing literature on debiasing is explored and primary data is generated through interviews with experts in the field of conversational agents to gain insights for the management of cognitive biases on prevention strategies. Methodology: A qualitative study is conducted following a systematic approach to provide objective findings. Further, literature is screened and coherently compiled in common underlying concepts.Findings: Debiasing is a broad research area in which authors adopt different management approaches, either by basing strategies on specific cognitive biases or on specific causes of cognitive biases. The current literature differentiates between debiasing and prevention differently than organisations and does not focus on the application field of conversational agents. Thus, literature presents different strategies for cognitive bias management than practice. In practice, the concept of debiasing and prevention is only loosely and not uniformly defined and differentiates between debiasing and prevention on the basis of the development process. Cognitive bias management is not directed at an individual but is applied at an organisational level, wherefore cognitive bias management strategies can be both debiasing and prevention. Consequently, the literature gap is not reflected in practice. Contribution: The research found that the theoretical gap does not pose a practical issue. Additionally, this research contributes to the current literature by providing findings from a new field of application in which strategies are presented that are potentially new. These provide proposals for future research. The literature gap of prevention, however, remains theoretical. Practical implications are further identified where education about cognitive biases should be offered to all hierarchical levels, or individuals in superordinate positions should guide individuals in operational positions on the management of cognitive bias.
LibGuides: Guide to Zoom for RSOs: Home

Learn how to set up, run, and record meetings on Zoom for on-campus clubs and RSOs. You'll also find some tips and tricks for making Zoom more fun and ideas for Zoom parties!
Capturing Neural-Networks as Synchronous Dataflow Graphs.

Machine learning (ML) algorithms have recently become a more and more common and powerful tool in technology and science alike. Capturing ML algorithms in a Model of Computation (MoC), like the synchronous data-flow (SDF), allows the application of system level design methods. This in turn, enables a Design Space Exploration (DSE) process and the synthesis of such applications as software or hardware components on heterogeneous target systems. In this paper, the translation of neural network (NN) classifiers, most commonly used in the machine learning domain, to synchronous dataflow graphs (SDFGs) is presented. Experiments showed that our translation is correct, where all automatically generated SDF classifiers have correctly predicted the same results as the original implementations in the python development framework.
LibGuides: Chicago Manual of Style Guide (Chicago 17th Edition): Web & Social Media

Examples of how to do in-texting and format a reference for multiple types of web & social media.
Design and Implementation of Midi Music System Based on Multimedia Api Time Function

This paper studies the modeling and reasoning methods of rhythm, pitch and intensity of music based on Bayesian network API function. On the basis of format, we first model rhythm, pitch and strength based on Bayesian network. At the same time, the knowledge base is established according to the model, and the reasoning method of rhythm and pitch as well as the semi supervised music creation method are given. This paper proposes a simple two-level word filtering algorithm, and designs a human-computer interaction model based on multi-layer naive Bayesian network, corpus knowledge base and database stored procedures. The model provides interaction between composer and music creation. In this paper, we extend the traditional design pattern and design a MIDI music system based on multimedia API time function. Experimental results show that the proposed reasoning method is feasible.
The influence of light from gadgets on circadian rhythm in children

Department of Human Physiology and Biophysics, Nicolae TestemitanuState University of Medicine and Pharmacy, Chisinau, Republic of Moldova, The 8th International Medical Congress for Students and Young Doctors, September 24-26, 2020
Blockchain Technology and its Potential Impact on Capital Market. “A new trend in Financial Market”

In few years Blockchain technology is gaining more importance in financial market. The objective of this research paper is to examine the impact of Blockchain Technology on capital markets.To do as such, this paper recognizes potential application fields of the technology in capital market as well as to evaluate the strategies and challenges in application of blockchain technology in capital market. The research methodology is based on in depth literature review, which identifies the application of blockchain technology and their challenges in capital market. Capital market is based on long term Debt and equity- backed securities. The implication of Blockchain technology in Debt and equity market results in risk reduction, fraud reduction, and misinterpretation of fact reduction as well as increase the competiveness into the market with good relationship to the regulators. The use of this technology gives more benefits to the regulators as well as the investors into the market. Investors can feel secure in this highly volatile market. The whole capital market turnover will increase if the blockchain technology widely spread. However there are many major challenges have to overcome for blockchain technology to become widely accepted in capital markets. These are technological, regulatory, legal, cultural and governance. The first and the foremost objective of the blockchain technology in capital market to create a strong regulatory framework and to develop standards, which benefits the investors into the investment market.
A Dynamic Line Segmentation Technique For Extracting Telugu Characters From Document Images

In the present digital era, massive data is generating day by day. Images are one of the leading data types. Images are essential to understand the scenarios. Images represent different information like text, sceneries, and pictures of humans, etc. The CNN algorithm proposed to address issues like the recognition of Telugu characters. CNN also not able to extract the Telugu characters if the Telugu characters contain conjunctive symbols. In this paper, the proposed LCS algorithm to handle the issue.
Earth 101 Natural Disasters : Hollywood vs. Reality Assigned Readings

Earth 101 Natural Disasters: Hollywood vs. Reality Assigned Readings is an introductory textbook that provides chapter readings introducing the nature of science and the scientific method, plate tectonics, volcanism, earthquakes and earth's interior, and groundwater.
Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations on Speed Control of an Automobile

A method of a fusion of fuzzy inference and policy gradient reinforcement learning has been proposed that directly learns, as maximizes the expected value of the reward per episode, parameters in a policy function represented by fuzzy rules with weights. A study has applied this method to a task of speed control of an automobile and has obtained correct policies, some of which control speed of the automobile appropriately but many others generate inappropriate vibration of speed. In general, the policy is not desirable that causes sudden time change or vibration in the output value, and there would be many cases where the policy giving smooth time change in the output value is desirable. In this paper, we propose a fusion method using the objective function, that introduces defuzzification with the center of gravity model weighted stochastically and a constraint term for smoothness of time change, as an improvement measure in order to suppress sudden change of the output value of the fuzzy controller. Then we show the learning rule in the fusion, and also consider the effect by reward functions on the fluctuation of the output value. As experimental results of an application of our method on speed control of an automobile, it was confirmed that the proposed method has the effect of suppressing the undesirable fluctuation in time-series of the output value. Moreover, it was also showed that the difference between reward functions might adversely affect the results of learning.
Characterization of quantum squeezing generated from the phase-sensitive and phase-insensitive amplifiers in the ultra-low average input photon number regime

We give the general expressions of intensity-difference squeezing (IDS) generated from two types of optical parametric amplifiers [i.e. phase-sensitive amplifier (PSA) and phase-insensitive amplifier (PIA)] based on the four-wave mixing process, which clearly shows the IDS transition between the ultra-low average input photon number regime and the ultra-high average input photon number regime. We find that both the IDS of the PSA and the IDS of the PIA get enhanced with the decrease of the average input photon number especially in the ultra-low average input photon number regime. This result is substantially different from the result in the ultra-high average input photon number regime where the IDS does not vary with the average input photon number. Moreover, under the same intensity gain, we find that the optimal IDS of the PSA is better than the IDS of the PIA in the ultra-low average input photon number regime. Our theoretical work predicts the presence of strong quantum correlation in the ultra-low average input photon number regime, which may have potential applications for probing photon-sensitive biological samples.
First meeting of the UIC Research & Innovation Coordination Group (RICG) – UIC Communications

The first meeting of the UIC Research & Innovation Coordination Group (RICG) meeting in 2016 was held on 9 February. Many members were interested to attend and to discuss the important agenda.…
Integrated Cognition: A Framework Proposal

A framework for organizing the many disparate capabilities required of synthetic cognitive systems is proposed as a basis for assessing the status of existing and proposed cognitive architectures and systems, as well as a measure of progress towards human-level machine intelligence. This framework divides the “ingredients” of cognition into six dimensions. Capabilities within these dimension are organized roughly according to increasing levels of capability. The cognitive dimensions and their capabilities are described here as the basis for assessments of existing architectures provided in a companion paper.
School librarianship in the African Sub-Saharan region in the midst of the COVID-19 crisis

Jerry Mathema, an experienced school library media specialist in Zimbabwe, details the difficult and concerning impact of COVID-19 on the education community in his region.
The torque analysis of lower limbin basketball based on sEMG signal.

Objective To assess the advantage of using the sEMG signal for establishing the mathematical model of lower limb movement and evaluating the improvement in the jumping ability of basketball players as the ultimate target strength. Also, to evaluate its use it in the training of lower limb strengthening of basketball players. Methods In this study conducted from March 1, 2019 to June 1, 2019, 30 professional male basketball players were selected as the subjects, gait analysis was carried out when they finished the three-step layup in 15 minutes. Acquisition and noise reduction process of the collected sEMG signals were first filtered by band-pass filter to eliminate the noise outside the frequency, then suppressed by the spectral interpolation method, and finally subjected to wavelet transformation. Results The lower limb muscle group was activated once in a cycle. The anterior and posterior thigh muscle groups, and anterior Tibial muscles were activated in the early stage, increased to the maximum value and then decreased gradually; the long and short muscles attached to the fibula were activated in the middle stage, and decreased rapidly. Conclusions The research results of sEMG signal showed that the torque intensity of the front and back thigh muscles is greater than that of other muscle groups. Strengthening the training is helpful to enhance the jumping ability of basketball players.
Study of Unified algebra

I present a unified algebra that includes what are commonly called boolean algebra, number algebra, sets, lists, functions, quantification, type theory, and limits; this mathematics forms the foundation for much of computer science. I present the notations and the rules for the conduct of algebra, but it is not the purpose here to explore the possibilities for their use. I am laying foundations, not building upon them; I am designing the instrument, not playing the music. To appreciate the algebra, I rely on the reader's experience in using algebra.
A critical discourse study of July 15th 2019 former President Obasanjos letter to President Buhari

Language is a powerful tool through which users can create identities of themselves and others. The purpose of this paper therefore was to examine the July 15th letter of former president Obasanjo to President Buhari. The paper employed Critical Discourse approach to deconstruct the text with a view to see how the writer used various linguistic devices as persuasive elements. It was found out that the writer employed various ideological modes and linguistic elements to successfully register his opinions. Hence, the paper holds to confirm further that discourse is indeed a social action which is usually influenced by the writer’s affiliation.
Pemanfaatan Aplikasi Whastapp sebagai Media E-Learning Masa Covid-19 pada Mata Kuliah Biomolekul dan Metabolisme di Tadris IPA IAIN Bengkulu

The Covid-19 epidemic has changed the learning system in Indonesia. From basic to higher education, they do not use a face-to-face (conventional) system but switch to an online system. Some applications are used as e-learning media in the learning process, such as the zoom meeting application, google meet, UmeetMe or applications provided by the campus website. These applications provide features in order to carry out e-learning learning, but these applications must use a high internet network and a large quota. One of the e-learning methods that are easy, cheap, and instant to use is the Whatsapp application. This media is portable, compact, and practical which can be used wherever students are. It is hoped that the use of features on Whatsapp can help increase the passion of learning in the Biomolecule and Metabolism course during the Covid-19 period at the Tadris IPA IAIN Bengkulu study program. The results of this study can be concluded that the Whatsapp application as an e-learning medium is proven to be able to reduce the use of large internet data so that it does not burden students. The Whatsapp application can also be used in conditions of weak internet networks, meaning that it can be used wherever students are. The use of features on Whatsapp really helps to increase the enthusiasm and activeness of students in learning on Biomolecule and Metabolism courses in the Tadris IPA IAIN Bengkulu study program
A polarization quantum key distribution scheme based on phase matching

The Quantum Key Distribution protocol can encode a single quantum state and implements an information-theoretically secure key distribution protocol in communication. In the actual QKD experimental system, there are usually two encoding methods which are phase encoding and polarization encoding. Ma et al.[Phase-Matching Quantum Key Distribution, Phys. Rev. X., 2018, 8(3)] proposed the phase-matching QKD protocol, which has high transmission and it is an extension of the measurement device independent QKD. This paper successfully gives the polarization scheme of this PM-QKD protocol, the bases in the polarization scheme are arbitrary, and eliminates detector side channel attacks. Furthermore, we give the security analysis and simulation results of the polarization scheme, and compare it with the BB84 protocol. The simulation results show that our protocol is superior to the BB84 protocol in terms of transmission distance under the fixed key rate.
THE EFFECT OF USING INSTRUCTIONAL CONVERSATION METHOD ON STUDENTS’ SPEAKING SKILL

This research was aimed to see the effect of Instructional Conversation Method on students' speaking skills at SMPN 4 Tanjungpinang. This study used quasi-experiments. In this study involved 60 students which divided into 2 classes, 30 students in class VIII-1 as experimental class and taught using the Instructional Conversation method and 30 students in class VIII-2 as control class and was taught using Small Group Discussion method. The research instrument used was an oral test. Then, the researcher gave a post-test to see the increase of the mean score after the treatment. The results of the pre-test and posttest were analyzed using normality, homogeneity and hypothesis testing. The results of this research showed that the class that was taught using the Instructional Conversation Method had higher mean which is 78.9 while the mean score of control class is 66.76. It could be seen that the Instructional Conversation method has significance effect on students' speaking ability in descriptive text text. Based on the data in the table, Sig. (2 tailed) was 0.0000 and alpha was 0.05 (p <α). That means that p was lower than alpha. Therefore it could be concluded that there was a significant effect of the use of Instructional Conversation method on students' speaking skills at SMPN 4 Tanjungpinang. Finally the researcher concluded that Instructional Conversation method was effective on students' speaking skills in descriptive text.
Research Guides: Welcome to Using Primo: Getting started - Sign in

A resource guide for students and faculty about the transition to the Primo VE discovery service.
Design of Web-Based Barcore Stock Information System and FJLB Pine at PT Karya Bhakti Manunggal

Karya Bhakti Manunggal Company is located in Purbalingga, operating since 1991 is a company selling and distributing various kinds of leisure wood products albasia and pine. Data loss occurs when users intentionally or unintentionally delete documents or overwrite documents and process data inventory into finished Microsoft Office Excel often delayed by officers so that the final inventory of finished goods produced sometimes does not match the  physical stock in the warehouse.The purpose of this study was to create a Website-based wood stock application on facilitate the processing of barecore and fjlb finished goods iventory data at Karya Bhakti Manunggal Company. Stages of research include data collection, namely interviews, observation, study of literature, documentation and questionnaires. The author uses the Rapid Application Develoment (RAD) system development method which consists of 3 stages, namely requirements planning, workshop design, and implementation. Based on the test results of the product test getting a value of 83.3%, the benefit test gets a value of 80%, it can be concluded that the product test and benefit test have been successful. The conclusion of the results of this study is the Barcore and FJLB Pine Finished Stock Information System which is designed and built is able to facilitate data management of new goods, manage goods coming in and out, and speeding up the making of stock reports of Karya Bhakti Manunggal Compay.
Automatic Detection of the Underwater Stationary Artificial Torpedo-shaped Target Based on SAS Image

Abstract Aiming at the problems of speckle noise, seafloor background scattering interference and lack of texture feature in SAS images, an underwater torpedo-shaped artificial target detection algorithm based on Meanshift filtering and Ostu algorithm was proposed. Firstly, based on the image characteristics, the Meanshift filtering algorithm is used to confirm a appropriate threshold to achieve a smoothing effect, and eliminate the strong background speckle noise. Secondly, Ostu algorithm is used to perform binarization according to the histogram statistical information after image gray-scale. Finally, the Region growth method is used to find and eliminate the large and unrelated white areas, meanwhile, fill the holes in the target to obtain a relatively complete target contour. The experimental results show that the algorithm is simple, has a strong ability to overcome the background noise. The automatic detection of the target is accurate. The algorithm is stable with a strong engineering value.
Induction Models on $\mathbb{N}$

Mathematical induction is a fundamental tool in computer science and mathematics. Henkin initiated the study of formalization of mathematical induction restricted to the setting when the base case B is set to singleton set containing 0 and a unary generating function S. The usage of mathematical induction often involves wider set of base cases and k-ary generating functions with different structural restrictions. While subsequent studies have shown several Induction Models to be equivalent, there does not exist precise logical characterization of reduction and equivalence among different Induction Models. In this paper, we generalize the definition of Induction Model and demonstrate existence and construction of S for given B and vice versa. We then provide a formal characterization of the reduction among different Induction Models that can allow proofs in one Induction Models to be expressed as proofs in another Induction Models. The notion of reduction allows us to capture equivalence among Induction Models.
LibGuides: CSUMB Online Library: Curbside pickup and mail delivery of books

Online Resources & Services at CSUMB Library Details on how to use our curbside pickup and mail delivery service for books