Reviewerly/exHarmony huggingface dataset:
Utilizing Umbrella Sampling and Brownian Dynamics to Study the Functional and Dynamic Characteristics of Cardiac Troponin C

Cardiac troponin C (cTnC) mediates the calcium-induced regulation of muscle contraction through its regulatory, N-terminal domain (cNTnC). Previous work utilizing umbrella sampling and molecular dynamics simulations on this domain of cTnC has shown mutations associated with hypertrophic (HCM) and dilated cardiomyopathies (DCM) influence the free energy of opening which suggested a mechanism for altering calcium sensitivity. To elaborate on the study of the dynamic features of cTnC, other computational methods are used here to investigate the energetics of calcium binding and troponin-I switch peptide binding. We used BrownDye and umbrella sampling to calculate calcium on-rates and free energies of binding, respectively. Results of these simulations have shown our ability to recapitulate experimental data. Small molecules have also been previously shown to bind to cTnC's hydrophobic patch region and modulate calcium sensitivity as a potential therapeutic for cardiomyopathies associated with mutations in this region of cNTnC. The umbrella sampling protocol developed for studying HCM/DCM associated mutations, as well as molecular dynamics simulations, are used here to investigate a potential mechanism of these small molecules for altering calcium sensitivity. We were able to show that the addition of small molecules in the hydrophobic patch caused a lowering of the free energy of opening and a stabilization of a semi-open configuration. These methodologies for studying cTnC will provide a holistic view of the dynamics and functions of cTnC facilitating a molecular understanding of cardiac muscle contraction.
MODIFIKASI MODEL PEMBELAJARAN SNOWBALL THROWING DENGAN STRATEGI PEMBELAJARAN TUGAS DAN PAKSA

This writing aims to increase the motivation and activity of students in the class. The way to increase student motivation in learning in class is to choose the right learning model with ongoing learning material. Linking learning material at school to learning that links lessons with games or games, so students are more responsive to receiving messages from others, training students' creativity and imagination in making questions, encouraging students to cooperate, help each other, and be active in learning. One learning model that links lessons with games or games is the Snowball Throwing learning model. To make students more aware of the subject matter, a task must be done, if they do not do the task, they must accept the consequences that have been agreed together when making a work contract. Thus the modification of the Snowball Throwing learning model was carried out with a Task and Forced strategy. The aim is to make the Snowball Throwing learning model even better so that students are more motivated, better understand the material in school and discipline in learning in the classroom. Therefore this method of incorporation is very necessary in the learning process and can be applied to improve the quality of learning in schools.
PERPADUAN COBIT 4.1 DAN BALANCED SCORECARD DALAM MENILAI TATA KELOLA PERGURUAN TINGGI

In the development of educational institutions, the role of information technology (IT) is largely determined.At STIMIK Sepuluh Nopember Jayapura there was a problem that institutions tended to not realize the importance of service orientation.One of the most important processes in implementing IT governance is by conducting an evaluation that aims to determine the extent of institutions in implementing good governance.This study explains how an educational institution to improve orientation and service in higher education.The Balanced Scorecard is a good framework for assessing Organizational performance.The calculation of COBIT and the Balanced Scorecard provides a benchmark for the customer perspective that can be used as a reference for management in an institution that wants to make improvements specifically to improve service orientation.This study has a way to improve the maturity level that can be used as a reference by institutions in developing IT governance that is in accordance with COBIT best practices 4.1.In this study concluded that the maturity level of the governance of the institution when it is at level 2 with an average value of 2.48.
An Application of Data Mining in Knowledge Points Correlation Analysis

Obtaining the association among knowledge points of courses helps teaching activities. Mining the association rules needs to deal with two key issues. â‘ Data processing. â‘¡ Rule filtering. We proposed a method for knowledge point association analysis. In the data processing, we used the density peak clustering method on student data to eliminate the outlier data. Then we discretized the lost score of knowledge points by normal distribution. In rule filtering, we used the Apriori algorithm to mine the association rules which have high occurrence frequency, filtering out the meaningless associations caused by the difficulty factor of test problems exceeding the occurrence threshold of events. The knowledge point associations achieved above can guide teachers to arrange the teaching events with focuses, helping students comprehend the knowledge structure of whole course.
Effect of text height and line spacing of link text on operability of portable terminal with touch screen

Recently, the use of portable terminals with touch screens such as smartphones has spread rapidly. Many users have used these devices to browse the internet or social networking services (SNS). There are many link texts (hyperlinked texts) to navigate between pages or to download files. However, interacting with link text in a portable terminal with a touch screen can often be difficult because link texts that have low text height and narrow space between lines (set by web designers who wanted to display as much information as possible on a screen of limited size) can cause accidental interactions. Many studies have evaluated usability when using portable terminals with touch screens and most of these studies have focused on Button, which is a basic GUI component. In contrast, GUI design approaches for link text have not been received sufficient attention. This study is aimed at evaluating the influence of two factors, namely the text height and the line spacing of link text, on the error rate and pointing time to overcome the usability problems associated with link texts. User experiments on pointing tasks were conducted for seven text heights (1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0 mm) and five ratios of line spacing to text height (0.1, 0.3, 0.5, 0.7, and 1.0). The result shows that when the text height is 4.0 mm and the ratio of line spacing is 1.0 (the height of touch-sensitive area is 8.0 mm), rapid and accurate pointing the link text can occur. We hope that these findings contribute to an easy-to-use design for link texts.
PENENTUAN RUTE TERDEKAT LOKASI KLINIK BERSALIN DI KOTA SURAKARTA MENGGUNAKAN ALGORITMA FLOYD WARSHALL

Maternity clinics are an option for mothers who will give birth, in addition to locations that are more affordable than hospitals, the place is evenly spread so that their presence can be identified. Maternity Clinic was also chosen because some mothers feel anxious to give birth in a hospital environment, conditions that can slow contractions, make labor longer and interventions are more likely. So giving birth to a baby in a maternity clinic is an alternative that is widely chosen. But not all of them know the location of the nearest Maternity Clinic. Then you will find a way to help find the location of the Maternity Clinic in the city of Surakarta to be faster. The purpose of this study was to make it easier to find where the maternity clinic was located and be able to facilitate and provide access to the community who needed a search for a maternity clinic in the Surakarta area. This research proposes Floyd Warshall algorithm to provide the shortest route. The data used is clinic location data obtained from the Health Office. The results of this research are the shortest route that is connected in the Google Map, namely information on the location of Maternity Clinic locations and nodes scattered in the Surakarta area which can be of benefit to the community about Maternity Clinic places.Keywords: Floyd Warshall Algorithm, Geographic Information System, Maternity Clinic, The Shortest Route
Enhanced Identity-Based Signcryption System

A combination of encryption and signature is a cryptosystem called traditional signcryption, wherein senderauthentication is considered a key task to be verified by third party or judge.Without the knowledge of the sender, the judge can authenticate the message using the receiver decryption parameters and the process is called the signcryption scheme. The paper's objective is to analyse the security and confidentiality of message and then to integrate authentication, enforceability, forward secrecy, public verifiable along with packet mechanisms. In this study, using theSSL mechanism the information to be sent is split into various parts and are all parts collected at the receiver end.This mechanism proved to be resource efficient, producing high precise results compared to the previous one.
Robert E. Dugan and Peter Hernon. Financial Management in Academic Libraries: Data-Driven Planning and Budgeting. Chicago: American Library Association for the Association of College and Research Libraries, 2018. 200p. Paper, $56.00 (ISBN: 978-0-8389-8943-2).

Many areas of academic libraries receive a lot of attention. Technology in its many forms is a big one as well as library instruction. There is much interest around changing cataloging and metadata standards and their impact on discovery. Whole conferences are dedicated to assessment and collection development. We read about newly renovated library spaces and new mergers between vendors and publishers. Within each of these and many other issues, there is frequently a section, paragraph, or maybe just a sentence that speaks to the financial aspect. These financial aspects shift and change from institution to institution, from library to library. Every academic library wrestles with its financial picture as it tries to serve its institution in a panoply of ways. To aid in this struggle, Robert Dugan and Peter Hernon have put together the text Financial Management in Academic Libraries: Data-Driven Planning and Budgeting .
Moss' logic for ordered coalgebras

We present a finitary version of Moss' coalgebraic logic for $T$-coalgebras, where $T$ is a locally monotone endofunctor of the category of posets and monotone maps. The logic uses a single cover modality whose arity is given by the least finitary subfunctor of the dual of the coalgebra functor $T_\omega^\partial$, and the semantics of the modality is given by relation lifting. For the semantics to work, $T$ is required to preserve exact squares. For the finitary setting to work, $T_\omega^\partial$ is required to preserve finite intersections. We develop a notion of a base for subobjects of $T_\omega X$. This in particular allows us to talk about the finite poset of subformulas for a given formula. The notion of a base is introduced generally for a category equipped with a suitable factorisation system. We prove that the resulting logic has the Hennessy-Milner property for the notion of similarity based on the notion of relation lifting. We define a sequent proof system for the logic, and prove its completeness.
Book review: Applied state estimation and association (Chang, C.-B. and Dunn, K.-P.) [Book review]

The central problem in multiple object or target tracking is the data association problem of partitioning sensor reports into tracks of reports and false or unrelated reports. Given a sequence of reports emanating from the same object, the estimation problem is that of using fusion and estimation techniques to improve the estimate of the state of the object. first-year graduate course. The state estimation is confined to the discrete time models as is appropriate for the intended audience. The book is divided into ten chapters. The first six chapters are devoted to the problem of estimation of a single object with a single sensor. Chapter 7 extends the single sensor to multiple sensors and a single object. Chapters 7–10 then consider the full multitarget and multisensory case which includes the association problem. Throughout the estimation chapters 1 through 6, the authors present the estimation formulation from an optimization viewpoint and develop Cramer-Rao bound (CRB) solutions for each estimation problem addressed. The many illustrations provide a deeper understanding of the more difficult concepts, while the exercises help to confirm an understanding of the chapter content and provide a basis for practical usage on existing and new problems. I highly recommend the book as a textbook or a reference for the expert.
Compose Quotient Ring Sequences with Walsh’s Sequences and M-Sequences

Quotient ring sequences are completely new orthogonal sets without coders and decoders to the moment but Walsh sequences of the order 2 k , k positive integer, and M-Sequences with zero sequence form additive groups, Except the zero sequences, Walsh sequences, and M-Sequences formed orthogonal sets and used widely in the forward links and inverse links of communication channels for mixing and sifting information as in the systems CDMA and other channels.The current paper studied the orthogonal sets (which are also with the corresponding null sequence additive groups) generated through compose quotient ring sequences with self, Compose quotient ring sequences with the best and very important sequences Walsh sequences and M-sequences and by inverse for getting these new orthogonal sets or sequences with longer lengths and longer minimum distances in order to increase the confidentiality of information and increase the possibility of correcting mistakes in the communication channels.
SSCS YP Mentoring Event at ESSCIRC [Society News]

Presents news of interest to SSCS society members.
Abstract: Leveraging Web Data for Skin Lesion Classification

The success of deep learning is mainly based on the assumption that for the given application, there is access to a large amount of annotated data. In medical imaging applications, having access to a big-well-annotated data-set is restrictive, time-consuming and costly to obtain. Although diverse techniques as data augmentation can be leveraged to increase the size and variability within the data-set, the representativeness of the training set is still limited by the number of available samples.
SISTEM INFORMASI PENGGAJIAN DAN TUNJANGAN KINERJA DAERAH BERBASIS WEBSITE PADA KANTOR WALIKOTA GORONTALO

Every Employee who works at an agency is entitled to a salary based on the rules and conditions of the applicable payroll. The issue of the granting of salary is not only important because it is the main thrust of a person to be a clerk, but also because it had rendered paycheck a major role against the morale of the employees, so that required a system processing the right payroll data. At the initial interview was found to the problem of the difficulty of doing the calculation of salaries of employees include base salary and allowances as well as the creation of regional performance reports payroll employees each month. The staffing portion has actually been using computerized through an office application excel and acces to ease job but still prefers a constraint with the redundancies of data in the financial statements and the difficulty of making the staffing section had to add extra hours of work every month end. The methods used in this research is descriptive method. The results of this research are systems process payroll and payroll execution allows TKD and staffing allowances Division by a part as well as accelerate the process of reporting on management.
Implementasi Algoritma Decision Tree (ID3) Untuk Penyakit Campak

Community Health Centre (Puskesmas) is a place for the outpatients. Often, a Community Health Centre does not provide a complete set of medical service. The medical workers –especially doctors often find it challenging to determine a patient’s disease. One of the challenges is to diagnose measles. Iterative Dichotomizer (ID3) is one of the algorithms to help diagnose measles by obtaining data from several attributes. The attributes of the algorithms may vary depends to patients’ need. The algorithm works by calculating the entropy of every attribute and the Information Gain (IG) of every attribute to construct a decision tree. The decision tree helps doctors to diagnose measles. There are 118 data at this research, most of the respondents were diagnosed with measles. The accuracy test of the ID3 algorithm-based application showed the number of 89.83%, categorized as excellent. This concludes that the ID3 algorithm is effective to diagnose measles.
PENGEMBANGAN METODE PELACAKAN OBJEK BERBASIS SEGMENTASI MENGGUNAKAN ALGORITMA FCM

Detection of object tracking is an important part of object recognition analysis. In object tracking applications, object detection is the first step of video surveillance, where accurate object detection becomes important and difficult because there are still problems that arise like the shadow of the detected object (false detection). To overcome this many object tracking applications are constantly being developed to produce accurate object detection. In this case the clustering method is one of the methods that are considered efficient and able to provide segmentation results in the image better and adaptive to changes in the environment and instantaneous changes quickly. So this research proposes the development of the object-oriented FCM method of object segmentation to obtain accurate object detection results. For the development of FCM method this research will be done by using distance approach. The distance approach used is cambera, chebychef, mahattan, minkowski, and Euclidean to get accurate results.
Use of social networking site by library science students: A comparative study of maharishi dayanand university, rohtak and kurukshetra university kurukshetra

ICT brings change in information seeking habit of students.Books are the main sources of information but after the introduction of ICT patrons are collecting information from internet so that they do not required to visit the library.Today's youth is more int o the social networking.They spend more time on SNS.Initially SNS are use just to socialize with family and friends.But innovation also occur in use of social media.Corporates, business education institutes are started using SNS for marketing their sources.Similarly users started using SNS for different purpose like to study, group discussion, exchanging notes etc.In current research comparative study of use of SNS by two university's library science students is studied.Data have been collected with the help of structured questionnaire and after analyzing the data it is found that users are using SNS for exchanging idea with friends but some user awareness program is also required for better utilization of the same.
SISTEM PENAMPIL INFORMASI KOLEKSI BATIK BERBASIS QR CODE DI GEDUNG SEMINAR SITI WALIDAH MUHAMMADIYAH SURAKARTA

The seminar room of Siti Walidah building is often visited by students or general public in which there are ancient batik collection displayed on its wall without any information about them. Smartphone technology has grown rapidly in which people can obtain information needed very easily. QR code is an easy method to get complete information. QR code is a type of image that stores data in the form of a barcode matrix in it. The purpose of this research is to make visitors get information about the displayed batik by using their smartphone. The method used in this study was the System Development Life Cycle (SDLC). The results obtained from this research were that the website admin systems managed batik information and the android application serves as information viewers of the batik collections that utilize the QR Code to be scanned. The testing carried out by the writer provided users with a comfortable experience to use the system and check whether it had worked correctly according to its function. The testing was done by testing the blackbox that made the results run well. In testing the QR code, the application scanned the image with sufficient lighting on ideal distance of 20cm to 40cm. On QR scribble tests, the code in the fifth streak could not be scanned. For testing, smartphones with various specifications successfully ran the application and in testing the questionnaire, it produced an average accuracy of 88%. It is finally concluded that the application can help visitors to find out information about the batik displayed on the wall of the seminar room of Siti Walidah building, Muhammadiyah University of Surakarta.
Mapping and Aligning Units from Comparable Corpora

Extracting parallel units (e.g. sentences or phrases) from comparable corpora in order to enrich existing statistical translation models is an avenue that has attracted a lot of research in recent years. There are experiments that convincingly show how parallel sentences extracted from comparable corpora are able to improve statistical machine translation (SMT). Yet, the existing body of research on the subject does not take into account the degree of comparability of the corpus being processed nor the computation time that it takes to extract translational similar pairs from a corpus of a given size. We will show that the performance of a parallel unit extractor crucially depends on the degree of comparability, such that it is more difficult to mine for parallel data in a weakly comparable corpus than a strongly comparable corpus. Most of the research in parallel data mining from comparable corpora focusses on parallel sentence mining, but parallel phrase mining (i.e. sub-sentential fragments) is of equal importance, because it can be more robust in the presence of weakly comparable corpora that usually do not contain whole translated sentences. We will present different approaches to parallel sentence and phrase mining from comparable corpora developed in the ACCURAT project, and we will evaluate them both in terms of absolute measures (e.g., P, R and F1) and with respect to their ability to generate significant improvements of the BLEU scores of a statistical translation system. Comprehensive testing of these algorithms in the context of statistical machine translation will be undertaken in Chap. 6 .
RSeqAn: Headers and wrappers for the SeqAn library in R

R is used heavily in the bioinformatics community for processing, analyzing, and visualizing biological sequence data due to the strong support for data exploration and analysis.One common complaint about R is its lack of speed relative to other languages, which have to do with properties of the R kernel (Sridharan, 2015).A solution to this is to rewrite key functions in C++ instead, then use Rcpp (Eddelbuettel & Balamuta, 2018) to interface with R.Many packages in R are sped up with C++ code: as of November 2018, out of 13525 packages on CRAN, 1493 of those use Rcpp.On Bioconductor (Huber et al., 2015), a repository specifically for bioinformatics packages, there is a similar proportion of packages using Rcpp: 150 out of 1649.Writing certain functions in C++ also allows the researcher to take advantage of highperformance C++ libraries.One such library that has proven powerful and popular for bioinformatics applications is SeqAn (Döring, Weese, Rausch, & Reinert, 2008;Reinert et al., 2017).SeqAn is an open source C++ library of efficient algorithms and data structures for the analysis of sequences with a focus on biological data.It has been used for many popular bioinformatics tools, including Bowtie2 (Langmead & Salzberg, 2012) and Tophat (Trapnell, Pachter, & Salzberg, 2009).Its capabilities include efficient storage and I/O of sequence data, fast algorithms for pattern matching, and much more.
SSCS Sponsors Diversity Panel at ESSCIRC\/ESSDERC [Society News]

Presents news of interest to SSCS society members.