bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lexical Diversity Versus Lexical Error in the Language Transcripts of Children With Developmental Language Disorder: Different Conclusions About Lexical Ability
Authors: Charest Monique , Skoczylas Melissa J. 
Published: July 2019

Purpose
The purpose of this study was to provide preliminary data on differences in lexical diversity and lexical-semantic errors in the language samples of children with developmental language disorder (DLD) and children with typical language development (TLD) of the same age.

Method

We analyzed word use in the narrative transcripts of children with DLD and TLD (
N
= 14;
M
age
= 6;8 [years;months]) using standard measures of lexical diversity (number of different words, moving-average type–token ratio) and additional counts of lexical-semantic errors.

Results
There were no significant differences between the groups in lexical diversity, and all children with DLD scored within the age-appropriate range on diversity relative to a normative sample. The children with DLD, however, produced significantly more lexical errors than their TLD peers.

Conclusions
The results suggest that caution is warranted when interpreting normal-range lexical diversity scores in children with DLD, as children with DLD may demonstrate functional difficulties with word use that are not captured by lexical diversity measures. A focus on lexical errors holds promise for characterizing lexical-semantic qualities of language transcripts that are not captured by standard measures of diversity. Development of a reliable clinical system for coding and characterizing lexical-semantic errors in language transcripts is warranted.
Taste Manipulation and Swallowing Mechanics in Trauma-Related Sensory-Based Dysphagia
Authors: Dietsch Angela M. , Dorris H. Duncan , Pearson William G. , Dietrich-Burns Katie E. , Solomon Nancy Pearl 
Published: July 2019

Purpose
This study explored the effects of high-concentration taste manipulation trials on swallow function in persons with sensory-based dysphagia.

Method

Dysphagia researchers partnered with clinical providers to prospectively identify traumatically injured U.S. military service members (
N
= 18) with sensory-based dysphagia as evidenced by delayed initiation and/or decreased awareness of residue/penetration/aspiration. Under videofluoroscopy, participants swallowed trials of 3 custom-mixed taste stimuli: unflavored (40% weight/volume [wt/vol] barium sulfate in distilled water), sour (2.7% wt/vol citric acid in 40% wt/vol barium suspension), and sweet–sour (1.11% wt/vol citric acid plus 8% wt/vol sucrose in 40% wt/vol barium suspension). Trials were analyzed and compared via clinical rating tools (the Modified Barium Swallow Impairment Profile [
Martin-Harris et al., 2008
] and the Penetration-Aspiration Scale [
Rosenbek, Robbins, Roecker, Coyle, & Wood, 1996
]). Additionally, a computational analysis of swallowing mechanics (CASM) was applied to a subset of 9 swallows representing all 3 tastants from 3 participants.

Results

Friedman's tests for the 3 stimuli revealed significantly (
p
< .05) improved functional ratings for Penetration-Aspiration Scale and pharyngoesophageal opening. CASM indicated differences in pharyngeal swallowing mechanics across all tastant comparisons (
p
≤ .0001). Eigenvectors revealed increased tongue base retraction, hyoid elevation, and pharyngeal shortening for sweet–sour and, to a lesser extent, sour than for unflavored boluses.

Conclusion
Advantageous changes in certain parameters of oropharyngeal swallowing physiology were noted with high-intensity tastants per both clinical ratings and subsequent CASM, suggesting potential therapeutic application for taste manipulation.
A stepwise mechanism for aqueous two-phase system formation in concentrated antibody solutions
Authors: Rogers Bradley A. , Rembert Kelvin B. , Poyton Matthew F. , Okur Halil I. , Kale Amanda R. , Yang Tinglu , Zhang Jifeng , Cremer Paul S. 
Published: July 2019

Significance
Concentrated liquid formulations of therapeutic antibodies are susceptible to colloidal instability, including liquid–liquid phase separation (LLPS). Herein, we measure the kinetics of aqueous two-phase system (ATPS) formation, the macroscopic stage of LLPS, along a linear temperature gradient device. These studies indicate that ATPS formation proceeds by the growth of protein-rich droplets and their subsequent coalescence. Droplet growth accelerates as the solution is cooled because protein–protein interactions become increasingly free energetically favorable. At lower temperatures, however, ATPS formation is rate-limited by a small barrier to droplet coalescence. A gel can form at the coldest temperatures, which arrest phase separation. We propose a simple 2-step model that relates these results to a reaction coordinate diagram for ATPS formation.
Mechanical properties of upper torso rotation from the viewpoint of energetics during baseball pitching
Authors: Kimura Arata , Yoshioka Shinsuke , Omura Leon , Fukashiro Senshi 
Published: July 2019

AbstractThis study aims to examine if upper torso rotation is caused mainly by pelvis rotation during baseball pitching from the viewpoint of energetics. Twelve right‐handed males participated in this study. Five were and seven had been collegiate baseball pitchers, and all used an overarm style. They threw a baseball as fast and precisely as possible, and data from three strikes were used. A motion capture system consisting of 13 cameras and two force platforms was used to collect the data and calculate joint torques of the thoracic and the lumbar joint. The joint torque of the thoracic and the lumbar joint were calculated using a top‐down and a bottom‐up approach, respectively. Then, the mechanical energy generation and transfer by the torsional torques were quantified. The mechanical energy generation exerted by the torsional torques of the thoracic and lumbar joints were 0.03 ± 0.03 and 0.15 ± 0.04 J kg−1 m−1, respectively. The mechanical energy transfer exerted by the torsional torques of the thoracic and lumbar joints were 0.72 ± 0.19 and 0.88 ± 0.24 J kg−1 m−1, respectively. These results indicated that torsional torques transferred a substantial amount of mechanical energy from the pelvis to the upper torso. Furthermore, the findings indicate that the mechanical energy transfer exerted by the torsional torques was a major contributor to the upper torso rotation.
Extracellular vesicles mediate the horizontal transfer of an active LINE‐1 retrotransposon
Authors: Kawamura Yumi , Calle Anna Sanchez , Yamamoto Yusuke , Sato Taka‐Aki , Ochiya Takahiro 
Published: July 2019

ABSTRACTLong interspersed element‐1 (LINE‐1 or L1) retrotransposons replicate through a copy‐and‐paste mechanism using an RNA intermediate. However, little is known about the physical transmission of retrotransposon RNA between cells. To examine the horizontal transfer of an active human L1 retrotransposon mediated by extracellular vesicles (EVs), human cancer cells were transfected with an expression construct containing a retrotransposition‐competent human L1 tagged with a reporter gene. Using this model, active retrotransposition events were detected by screening for the expression of the reporter gene inserted into the host genome by retrotransposition. EVs including exosomes and microvesicles were isolated from cells by differential centrifugation. The enrichment of L1‐derived reporter RNA transcripts were detected in EVs isolated from cells expressing active L1 retrotransposition. The delivery of reporter RNA was confirmed in recipient cells, and reporter genes were detected in the genome of recipient cells. Additionally, employing qRT‐PCR, we found that host‐encoded factors are activated in response to increased exposure to L1‐derived RNA transcripts in recipient cells. Our results suggest that the horizontal transfer of retrotransposons can occur through the incorporation of RNA intermediates delivered via EVs and may have important implications for the intercellular regulation of gene expression and gene function.
Roadmap on photonic, electronic and atomic collision physics: II. Electron and antimatter interactions
Authors: Schippers Stefan , Sokell Emma , Aumayr Friedrich , Sadeghpour Hossein , Ueda Kiyoshi , Bray Igor , Bartschat Klaus , Murray Andrew , Tennyson Jonathan , Dorn Alexander , Yamazaki Masakazu , Takahashi Masahiko , Mason Nigel , Novotný Oldřich , Wolf Andreas , Sanche Leon , Centurion Martin , Yamazaki Yasunori , Laricchia Gaetana , Surko Clifford M , Sullivan James , Gribakin Gleb , Savin Daniel Wolf , Ralchenko Yuri , Hoekstra Ronnie , O’Sullivan Gerry 
Published: July 2019

Abstract
We publish three Roadmaps on photonic, electronic and atomic collision physics in order to celebrate the 60th anniversary of the ICPEAC conference. In Roadmap II we focus on electron and antimatter interactions. Modern theoretical and experimental approaches provide detailed insight into the many body quantum dynamics of leptonic collisions with targets of varying complexity ranging from neutral and charged atoms to large biomolecules and clusters. These developments have been driven by technological progress and by the needs of adjacent areas of science such as astrophysics, plasma physics and radiation biophysics. This Roadmap aims at looking back along the road, explaining the evolution of the field, and looking forward, collecting contributions from eighteen leading groups from the field.
Coercivity mechanisms in nanostructured permanent magnets*
Authors: Zhao G P , Zhao L , Shen L C , Zou J , Qiu L 
Published: July 2019

Coercivity mechanism in permanent magnets has been debated for many years. In this paper, various models of the coercivity mechanism are classified and re-examined by the comparison and contrast. Coherent rotation and curling models can reveal the underlying reversal mechanism clearly based on isolated grains with elliptic shapes. By contrast, the numerical methods consider inter-grain interactions while simulating the evolution of the spins and hysteresis loops with complicated shapes. However, an exact simulation of magnetic reversal in permanent nanomagnets requires many meshes to mimic the thin domain wall well.
Nucleation and pinning are the two main coercivity mechanisms in permanent magnets. The former signifies the beginning of the magnetic reversal, whilst the latter completes it. Recently, it is proposed that the large difference between the intrinsic magnetic properties of the nucleation centers and those of the main phase can result in a large pinning field (self-pinning), which has the attributes of both traditional nucleation and pinning. Such a pinning explains the experimental data of permanent magnets very well, including the enhancement of the coercivity by the grain boundary pinning.
RFID Characteristics Test as Business Needs at Logistic Companies in Indonesia
Authors: Irsan Muhamad , Fitria Murad Dina , Fernando Erick , Touriano Derist , Corradini Andrea 
Published: July 2019

Abstract
In embedded RFID chips for storing records or data, such as Electronic Product Code one of them using barcode, in tag. Tags have functions to be able to transmit data for readable readers or stationary readers. using radio transmission technology to read data in tags. Each computer in the same system network can share and track data, regardless of where the item is searched for within the scope of the marked or restricted area. Available information may include item code, item date, delivery date, and item price. This study presents a framework based on RFID Proxied Technology Characteristics Real Time Data Processing, Continuous Data Tracking and Discrete Data, and Reuse and explores its relationship with Business Needs. The observed populations are supervisors and managers working in logistic companies taken cross section obtained from a number of logistics companies incorporated in the Indonesian Logistics Association (ALI) in 2015. Sampling is done using convenience sampling method (convenience sampling method) because the population of respondents working in logistics companies in Indonesia is not known with certainty. This research can contribute to how users can select and measure RFID technology from their characteristics so that the application of RFID systems and technology becomes an added value for the company not just as a complementary technology only.
Optimization of school location-allocation using Firefly Algorithm
Authors: Prima Pudy , Murni Arymurthy Aniati 
Published: July 2019

Abstract
The zoning policy of Indonesia New Student Admission System encourages schools to accept more students from their zoning location. This condition needs to be supported by a good management to ensure that the school facilities suffice the student distribution. School location-allocation optimization problem aims to obtain optimum student distribution such that the total of students travel distance is minimized. This problem is modeled as p-median problem, and can be solved using meta-heuristic approach. In this study, firefly algorithm with two-dimensional firefly individual representation is utilized to solve South Jakarta junior school location-allocation problem. The obtained solution lowers 57.58% of student travel distance compared to the previous condition assuming that favorite schools are tend to be chosen by students.
Development and Evaluation on Night Forest Virtual Reality as Innovative Nyctophobia Treatment
Authors: Paulus E , Yusuf FP , Suryani M , Suryana I 
Published: July 2019

Abstract
Nyctophobia is an exaggerated fear that arises when a person is in the dark or at nightime. In psychology, cognitive behavioral therapy is commonly used to treat a person who is accustomed to face his/her fears by giving positive suggestions of the fears, then confront the fears until he/she no longer feels anxious. This paper presents the storyboard and prototype development of Virtual Reality (VR) Night Forest application which aims to provide an alternative tool for Nyctophobia treatment. The adventure game which is located in a forest at nightime is used as a new means to allow the user to become familiar with darkness. In the game, the user is made aware of the wonderful experience of hearing natural sounds such as footsteps, bird and door sounds. The user, as a boy scout, is then assigned to look for logs in the forest with different lighting levels. The storyboards are implemented on Mobile VR Apps. The experimental study shows that fear level of female users remains high compared with male users. Nevertheless, the repeated use of the game can positively motivate users to train themselves to get comfortable in darkness. In the experiment, the usability assessment concerning virtual reality user interfaces is presented using Sutcliffe approach.
Gini Index With Local Mean Based For Determining K Value In K-Nearest Neighbor Classification
Authors: Saputra M E , Mawengkang H , Nababan E B 
Published: July 2019

Abstract
A process that explains and differentiates the data class is called Classification. The nearest neighbor is calculated based on the distance of each data, especially to determine the k value in the data. To fix K-Nearest Neighbor, it is necessary to test data class and train with Local Mean Based K-Nearest Neighbor using the closest distance measurement of Manhattan to each local mean of each data class. Gini Index is used in the process of calculating each weight in the data attribute. In this research, Gini Index, K-Fold Cross Validation and Local Mean are needed in the K-Nearest Neighbor classification. In Iris data the lowest k value is k=1, k=48, k=49, and k=50 accuracy is 94.67%, while the highest k value is k=12 and k=13 accuracy is 97.33%. So the result of the highest k value becomes the best k value in this study. Likewise with the Ionosphere data the lowest k value of k=50 accuracy is 86.92%, while the highest k value is k=2 with accuracy 92.89%, the Ionosphere data is the best k=2 and two Voice Gender and Lower Back data.
A Comparison Peer to Peer Lending Platforms in Singapore and Indonesia
Authors: Yunus U 
Published: July 2019

Abstract
The purpose of this study is to compare peer-to-peer (P2P) lending in Singapore and Indonesia in the type of platform, consumer behavior and the regulation of implementation of borrowing and investment. This study uses a qualitative approach because the method used is interpretive that allows a lot of data in reviewing the problems. The result of the research stated that P2P lending platform between Singapore and Indonesia has similarity. There are no significant different things. But the behavior of societies is different, in Indonesia the use P2P more for consumptive things because the community is no habit to save, while in Singapore, P2P for making an important, yet time-sensitive and urgent purchase. The government rules in Singapore have been already conducive, supported by the transactions of Fintech are more transparent. While in Indonesia, there is still confused about Fintech’s perception; some claim the permission from the Minister of Finance, whereas the truth is through the Financial Services Authority or OJK. P2P lending in Indonesia still needs the revamping of the Fintech actors, especially in the legality. Indonesia becomes an attractive market for Singapore’s Fintech because of the population.
Time Series Optimization on Data Mining
Authors: Buaton Relita , Mawengkang Herman , Zarlis Muhammad , Effendi Syahril , Manaor Hara Pardede Akim , Maulita Yani , Fauzi Achmad , Novriyenni N 
Published: July 2019

Abstract
Forecasting is one of the important topics in the data mining field, such as, predictions, weather forecasting, predictions of academic achievement. Another topic associated with forecasting through a series of data that depends on the time period is called time series. The problem in data mining time series is how to present the data. A common approach is to transform periodic series into other domains so that the reduced dimensions are followed by an index mechanism. However, research on time series has not been successful optimal yet, because it is still limited to mining data yet to represent time series, this pattern needs to be developed to change the pattern into a rule. The main problem that needs to be addressed in a periodic series is to present the results of visualization which includes more than thousands of observations are very difficult in order to present time series data in multidimensional to be mined. Working with high-dimensional data will be very expensive in terms of process and storage costs, because it requires high-level data representation or abstraction. The method used is the cluster window. The results obtained are the discovery of patterns based on the frequency of symbol behavior
Load balancing algorithm for a local video network
Authors: Suherman S , Aziz Mahdi , Nababan Erna B. 
Published: July 2019

Abstract
Server grows as client increases. If single server hardware up scaling has reached the limit, then multiple servers become solution. For local server requirement, the aforementioned solution has been sufficient. Load balancer distributes tasks to participating servers through designated algorithm. This paper assesses some load balancer algorithms for local video on demand network through experimental network that is developed in the lab for further research. As socket programming implemented, the WW is outperformed other algorithm in term of delay, jitter, losses as well as group of picture (GoP) delay.
User Group Management and Smart Society: Readiness Assessment of UU Adminduk (National Administration)
Authors: Adam Prasetyo Yuli , Lubis Muharman , Azani Hasibuan Muhammad , Wiyono  
Published: July 2019

Abstract
The conceptual model of smart societies has been aligned with smart offices, building and cities concurrently, which should concern various aspects of the individual such as attitude, behaviour and cognitive. In short, it should start from the fundamental and basic characteristic of human or bottom up approach not the other way around. In these concept, the new generation engages with the combination of smart energies, smart devices and smart transportations as the inheritance part of the advancement of smart system in the technologies utilization. For example, ubiquitous apps that provide rapid information about the direction to specific destination, the available spot to park, the reminder of respected area to avoid traffic congestion regardless the location of users. However, somehow, the utilization process often meet with failed in term of matching the user expectation with the system needs or, the most important thing, the readiness of current regulation to accommodate the trend changes and implementation of technology system. Thus, this study assess the interpretation of legal expert towards UU Adminduk (National Administration) by using content analysis through 21 selected coders from diverse background to gain more understanding of the complexity and reliability of the regulation. This act extremely necessary to govern the recording, changes, management and publication process of the personal data the purpose of national identity.
An Improved Feature Selection Method for Short Text Classification
Authors: Abayomi-Alli Olusola , Misra Sanjay , Matthews Victor O , Odusami Modupe , Abayomi-Alli Adebayo , Ahuja Ravin , Maskeliunas Rytis 
Published: July 2019

Abstract
Text has become one of the widest means of communication on mobile devices due to cheap rate and convenience for instance short text, web document, emails, instant messages. The exponential growth of text documents shared among users globally has increased the threat of misclassification associated with mobile devices such as Spam, Phishing, License to kill, Malware and privacy issues. Existing studies have shown that the major problem associated with text message classification is the poor representation of feature thus reducing accuracy and increasing f-measure rate. Thus, a modified Genetic Algorithm (GA) for improve feature selection and Artificial Immune System (AIS) algorithm was proposed for effective text classification in mobile short messages. The system will be deployed on an Android OS.
Conflict resolution via emerging technologies?
Authors: Yinka-Banjo Chika , Ugot Ogban-Asuquo , Misra Sanjay , Adewumi Adewole , Damasevicius Robertas , Maskeliunas Rytis 
Published: July 2019

Abstract
This paper presents a review of the current techniques and approaches adopted in conflict resolution in Multi-Agent Systems (MAS). The review highlights the strength and weaknesses, and thus, their success in fostering cooperation and collaboration in multi-agent systems. We survey alternative approaches to conflict resolution that rely on emerging technologies such as deep learning. From the survey, we discuss the benefits of using these emerging technologies in the conflict resolution process.