bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reliability of Perceptual Judgments of Phonetic Accuracy and Hypernasality Among Speech-Language Pathologists for Children With Dysarthria
Authors: Allison Kristen M. , Russell Mackenzie , Hustad Katherine C. 
Published: March 2021

PurposeThe objectives of this study were to: (a) compare interrater reliability of practicing speech-language pathologists' (SLPs) perceptual judgments of phonetic accuracy and hypernasality between children with dysarthria and those with typical development, and (b) to identify speech factors that influence reliability of these perceptual judgments for children with dysarthria.MethodTen SLPs provided ratings of speech samples from twenty 5-year-old children with dysarthria and twenty 5-year-old children with typical development on two tasks via a web-based platform: a hypernasality judgment task and a phonetic accuracy judgment task. Interrater reliability of SLPs' ratings on both tasks was compared between children with dysarthria and children with typical development. For children with dysarthria, four acoustic speech measures, intelligibility, and a measure of phonetic accuracy (percent stops correct) were examined as predictors of reliability of SLPs' perceptual judgments.ResultsReliability of SLPs' phonetic accuracy judgments and hypernasality ratings was significantly lower for children with dysarthria than for children with typical development. Among children with dysarthria, interrater reliability of perceptual judgments ranged from strong to weak. Percent stops correct was the strongest predictor of interrater reliability for both phonetic accuracy judgments and hypernasality ratings.ConclusionsReliability of perceptual phonetic accuracy judgments and hypernasality ratings among practicing SLPs for children with dysarthria is reduced compared to ratings for children with typical development. Findings underscore the need for more reliable methods to assess phonetic accuracy and hypernasality for children with dysarthria.
A Preliminary Investigation of Attention-Deficit/Hyperactivity Disorder Characteristics in Adults Who Stutter
Authors: Tichenor Seth E. , Johnson Chelsea A. , Yaruss J. Scott 
Published: March 2021

Purpose
Recent studies have shown that many children who stutter may have elevated characteristics of attention-deficit/hyperactivity disorder (ADHD). Although childhood ADHD commonly persists into adulthood, it is unclear how many adults who stutter experience aspects of ADHD (e.g., inattention or hyperactivity/impulsivity). This study sought to increase understanding of how ADHD characteristics might affect individuals who stutter by evaluating (a) whether elevated ADHD characteristics are common in adults who stutter, (b) whether elevated ADHD characteristics in adults who stutter were significantly associated with greater adverse impact related to stuttering, and (c) whether individual differences in Repetitive Negative Thinking (RNT) and Effortful Control influenced this relationship.

Method
Two hundred fifty-four adults who stutter completed the Adult ADHD Self-Report Scale, the Perseverative Thinking Questionnaire, the Adult Temperament Questionnaire short form, and the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed via multiple linear regression to determine whether the number of inattention or hyperactivity/impulsivity characteristics was significantly associated with RNT, Effortful Control, or Adverse Impact related to stuttering.

Results
Almost one quarter of participants (23.2%; 60/254) self-reported experiencing six or more inattention characteristics, while fewer participants (8.3%; 21/254) self-reported experiencing six or more hyperactivity/impulsivity characteristics. Participants with lower Effortful Control and higher levels of both RNT and Adverse Impact were significantly more likely to self-report experiencing more inattention characteristics.

Discussion
Many adults who stutter may exhibit previously unaccounted for characteristics of ADHD, especially inattention. Results highlight the value of continued research on the intersectionality of stuttering, ADHD, and attention, and the importance of individualizing therapy to the needs of each unique person who stutters.
Lattice-Boltzmann modeling of a turbulent bluff-body stabilized flame
Authors: Tayyab M. , Zhao S. , Boivin P. 
Published: March 2021

This Letter reports the first large eddy simulation of a turbulent flame using a lattice-Boltzmann model. To that end, simulation of a bluff-body stabilized propane–air flame is carried out, showing an agreement similar to those available in the literature. Computational costs are also reported, indicating that lattice-Boltzmann modeling of reactive flows is competitive, with around 1000cpuh required to simulate one residence time in the 1.5 m burner.
Host genetic control of natural killer cell diversity revealed in the Collaborative Cross
Authors: Dupont Magali S. J. , Guillemot Vincent , Campagne Pascal , Serafini Nicolas , Marie Solenne , Montagutelli Xavier , Di Santo James P. , Vosshenrich Christian A. J. 
Published: March 2021

SignificanceOur work reveals the breadth of NK cell immune variation present in theMus musculusspecies as represented by the highly diverse Collaborative Cross (CC) mouse resource. We identify unique CC strains that provide an opportunity to study NK cell differentiation and function, and we identify genomic loci driving the variation of relevant NK cell parameters including lung NK cell numbers, frequencies of CD94+NK cells, and expression levels of NKp46. Finally, our results reveal the similarities of NK cell immune variation between genetically highly diverse human and mouse populations, highlighting the potential of CC mice as a preclinical model for the development of immunotherapies targeting NK cells.
Lipid nanoparticle-mediated codelivery of Cas9 mRNA and single-guide RNA achieves liver-specific in vivo genome editing ofAngptl3
Authors: Qiu Min , Glass Zachary , Chen Jinjin , Haas Mary , Jin Xin , Zhao Xuewei , Rui Xuehui , Ye Zhongfeng , Li Yamin , Zhang Feng , Xu Qiaobing 
Published: March 2021

SignificanceGenome editing technologies enable the permanent repair of disease-causing genetic mutations. However, the application of this technology has been limited by the technical challenge of achieving safe, effective, and specific in vivo delivery of the CRISPR-Cas9 genome editing components. Here, we report the development of a newly identified lipid nanoparticle (LNP) for specific delivery of CRISPR-Cas9 mRNA to the liver. While LNPs have been FDA approved for delivery of siRNA to the liver, here we examine their application for genome editing. When compared head-to-head, our delivery platform significantly outperforms the FDA-approved LNP in the efficient delivery of Cas9 mRNA for knockdown of theAngptl3gene and subsequent regulation of hypercholesterolemia, while matching the safety and specificity of the approved platform.
Spine dynamics of PSD-95-deficient neurons in the visual cortex link silent synapses to structural cortical plasticity
Authors: Yusifov Rashad , Tippmann Anja , Staiger Jochen F. , Schlüter Oliver M. , Löwel Siegrid 
Published: March 2021

Significance
During critical periods, restricted time windows in early brain development, cortical neural circuits get refined in an experience-dependent manner. Postsynaptic density protein-95 (PSD-95)-dependent maturation of silent glutamatergic synapses onto principal neurons is required for the termination of the critical period for ocular dominance plasticity (ODP) in the primary visual cortex (V1) of mice. Using chronic in vivo two-photon imaging of dendritic spine dynamics in V1 of awake mice, here we show that adult PSD-95-deficient neurons display increased spine elimination after a brief monocular deprivation, a structural hallmark of juvenile ODP. Thus, adult PSD-95-deficient neurons display both functional and structural hallmarks of critical period plasticity so that PSD-95-dependent silent synapse maturation and stabilization is correlated with critical period closure.
The linguistic landscape and materials development
Authors: Xie Yilan , Buckingham Louisa 
Published: March 2021

Abstract
Despite the wide acceptance of the contributions of linguistic landscape (LL) research to sociolinguistic
analyses, models of how the LL can be exploited to practise specific features of the language system have been lacking. In this
study we focus on Mandarin Chinese, an important community language, to document the development of LL-based materials to practise
language-specific elements of the linguistic system (such as understanding the hierarchical organisation of characters, decoding
characters, identifying tones, and distinguishing different writing systems), in addition to cultural elements. Beginning with
extensive local fieldwork to compile a dataset of Chinese-language signs, materials were developed using the content of signs
considered to be representative for this context. Employing a MALL (Mobile-Assisted Language Learning) approach, materials were
piloted with learners of Chinese. The results of this practical engagement are discussed, and we end with key recommendations for
educationalists concerning the use of the LL as a resource for language acquisition.
Simulation of charge transport in polypropylene-based nano-composites
Authors: Zheng Yuesheng , Huang Huifen , Zhong Xiaoyan , Serdyuk Yuriy V 
Published: March 2021

Abstract
Polypropylene (PP)-based polymers are environmentally friendly and degradable materials that make them attractive alternatives to polyethylene for the electrical insulation systems of power cables in the future. To enhance the insulation performance of PP and to impede leakage currents through the material, different admixtures are utilized. In this paper, the effect of nano-fillers on charge transport characteristics in PP composites under DC electric fields is investigated by using a bipolar charge transport model accounting for mobile and trapped electrons and holes as well as ionic species. The model was validated by comparing the numerical results with the experimental data. The dynamic distributions of space charge densities and electric field in PP with and without nano-fillers are analyzed and compared. The numerical results confirmed that 0.5 phr ZnO nano-fillers can significantly improve the electric field distribution in PP nanocomposites and suppress the bulk current by reducing the charge generation rate and mobilities of charge carriers, thus resulting in a decrease in the volume conductivity. The obtained results provide a theoretical background for tailoring PP-based composites for specific applications by controlling nano-fillers.
Smart Gate Using Android Applications
Authors: Muthmainnah binti Mohd Noor Nurul , Afiq Afifi bin Mohd Zafie Mohamad 
Published: March 2021

Abstract
This paper is about the designing and developing an automatic gate system by implementation Android applications. This is a new improvement to the conventional technique. This project is focused on the development of smart gate prototype in order to improve the current automatic gate that used among the residential houses. The smart gate was controlled by using Android application on a smartphone that connected via a wireless connection. The wireless module ESP8266 was used to set up a server. An Arduino microcontroller was used as an interface between the input and output. The input is the user’s selection from the Android application while the output is the motion of the gate that generated by a DC motor. When the wireless module receiving the incoming signal from the smartphone, the microcontroller will read the signal and trigger the pin to turn on or turn off the DC motor. The ultrasonic sensor was used to detect any intruder that passes through the gate and trigger the buzzer. The limitation of this project is focused on smart gate prototype made of acrylic glass with the base size of 48 cm x 20 cm and a DC motor was used to open or close the gate
Development of Soil Electrical Conductivity (EC) Sensing System in Paddy Field
Authors: Othaman N.N.C. , Isa M.N.Md , Hussin R. , Ismail R.C. , Naziri S.Z.Md , Murad S.A.Z. , Harun A. , Ahmad M.I. 
Published: March 2021

Abstract
The amount of fertilisers affects electrical conductivity (EC), and it is one of the major causes of the paddy yield decrease. The overuse of fertilisers can lead to environmental pollution and contamination. This study designed to develop soil electrical conductivity (EC) sensing system in the paddy field using the smart farming application. In this work, the study conducted in Kampung Ladang, Kuala Perlis, and the soil samples collected from a random location at two different depths from the paddy field. The EC value for the developed system was near the calibration solutions (12880µS and 150000µS) and directly proportional to the temperature. From the laboratory soil results, the EC values of the soils were higher with fertiliser. However, the EC values for 0-10cm soil depth were higher than 10-20cm soil depth. The soil EC is inversely proportional to the depth of soil and directly proportional to the amount of nutrients. It observed that the soil EC is linearly related to the amount of nutrients and temperature. The EC value decreases with the increase of soil depth displays a low amount of salts in the deep soil, while, increases with the increase of temperature indicates high current flow.
Face Recognition and Identification using Deep Learning Approach
Authors: Teoh KH , Ismail RC , Naziri SZM , Hussin R , Isa MNM , Basir MSSM 
Published: March 2021

Abstract
Human face is the significant characteristic to identify a person. Everyone has their own unique face even for twins. Thus, a face recognition and identification are required to distinguish each other. A face recognition system is the verification system to find a person’s identity through biometric method. Face recognition has become a popular method nowadays in many applications such as phone unlock system, criminal identification and even home security system. This system is more secure as it does not need any dependencies such as key and card but only facial image is needed. Generally, human recognition system involves 2 phases which are face detection and face identification. This paper describes the concept on how to design and develop a face recognition system through deep learning using OpenCV in python. Deep learning is an approach to perform the face recognition and seems to be an adequate method to carry out face recognition due to its high accuracy. Experimental results are provided to demonstrate the accuracy of the proposed face recognition system.
Graphical password based mouse behavior technique
Authors: Abdalkareem Zahraa A. , Akif Omar Z. , Abdulatif Firas A. , Amiza A. , Ehkan Phaklen 
Published: March 2021

Abstract
This paper proposes a new password generation technique on the basis of mouse motion and a special case location recognized by the number of clicks to protect sensitive data for different companies. Two, three special locations click points for the users has been proposed to increase password complexity. Unlike other currently available random password generators, the path and number of clicks will be added by admin, and authorized users have to be training on it.
This method aims to increase combinations for the graphical password generation using mouse motion for a limited number of users. A mathematical model is developed to calculate the performance of the password. The proposed technique in this paper allows the user to keep the ease-of-use in the mouse motion, while minimizing the risk of password guessing. A comparative evaluation has been conducted against a traditional password. The results show that the proposed approach improves the complexity 200% for fix position technique and two variants technique but more than 200% for three variants technique.
Development of a monitoring system and power management for an IoT based vaccine carrier
Authors: Hasanat R T , Mansoor N , Mohammed N , Rahman M S , Rasheduzzaman M 
Published: March 2021

Abstract
The development and implementation of automated system to monitor the temperature, humidity, and location of a vaccine carrier in real-time are presented in this paper. All the collected data are sent via SMS and also stored on an SD card to prevent the loss of any data. The weak power infrastructure is one of the challenges in the developing countries which brings into consideration the overall power management and power saving modes of the carrier. The monitoring system and vaccine carrier have been powered from the same source: by either using the vehicle battery or portable batteries. The current consumption of the individual components has been reduced up to 92% and the overall current consumption of the system has been reduced by 8%. Being able to monitor the vaccine storage conditions and the carrier location remotely in real-time, and maintaining low power consumption at the same time, would allow to reduce the vaccine wastage rates and can be very effective in increasing the vaccine outreach in developing and undeveloped countries.
The Effect of Different Solvents in Natural Dyes from Roselle (Hibiscus Sabdariffa) and Green Tea Leaves (Camellia Sinensis) for Dye-Sensitized Solar Cell
Authors: Norhisamudin N. A. , Sabani N. , Shamimin M.M. , Juhari N. , Shaari S. , Ahmad M.F. , Zakaria N. 
Published: March 2021

Abstract
A dye-sensitized solar cell (DSSC) fabricated using anthocyanin or chlorophyll natural dye extract coming from Roselle (Hibiscus Sabdariffa) and Green Tea leaves (Camellia Sinensis). Both dye pigmentations were extracted using different alcohol-based solvent, namely, ethanol, methanol and mixed (ethanol + methanol) to identify whether the different solvents give the effect during the dye extraction. The performance of the electron transfer interaction between the natural dye and Titanium Dioxide (TiO2) was determined. The photovoltaic response of DSSC was collected by recording the data of I-V characteristic under illumination. The DSSC using the Roselle dye extract yielded the following results; Voc = 0.001 V, Jsc = 0.00868(mA/cm2), FF = 0.3554 and η = 0.00142% which is coming from the mixed solvent. On the other hand, the green tea dye extract yielded the following results; Voc = 0.3985, Jsc = 0.000797 (mA/cm2), FF = 0.3985 and η = 0.0000752% which is coming from the methanol solvent.
Applying the Deep Learning Model on an IoT Board for Breast Cancer Detection based on Histopathological Images
Authors: Zahir Shahirah , Amir Amiza , Adilah Hanin Zahri Nik , Ang Wei Chern 
Published: March 2021

Abstract
In breast cancer diagnosis, pathologists evaluate microscopic images of tissue samples to determine if it is benign or malignant. The manual examination process could result in delayed diagnosis, which leads to late cancer treatment and can risk lives. In this paper, we proposed an automated, low-cost, and portable breast cancer detection based on histopathological images by using deep learning. The deep learning models were designed by using the Convolutional Neural Network (CNN). This paper compares the performance of the CNN model by using transfer learning utilizing a pre-trained model (VGG16) and the performance of a CNN model without transfer learning. The result shows that transfer learning provides a good base for classification of histopathological images. The model was successfully deployed on a Raspberry Pi, which demonstrates the model efficiency to run on a lightweight and portable processor.
An Ultra-Wideband CPW Fed Slot Antenna for IoT Applications
Authors: Norlyana Azemi Saidatul , Jiunn Ng Kok , Azmeer Kamarudin Mohamad , Muhammad Nor Che Isa Che , Amir Amiza 
Published: March 2021

Abstract
An Ultra-wideband (UWB) radio is a fast-emerging technology. It is offering several unique attractive features that promotes major advances in wireless communications, networking, imaging, radar and positioning systems. Here, an Ultra-Wideband Coplanar Waveguide fed Monopole antenna for IoT Applications is proposed. The bandwidth of the antenna is enhanced due to the partial rectangular patch and the round corner of the rectangular slot. To validate the simulation results, prototypes of the proposed antenna are fabricated and tested. Based on the results, good agreement has been achieved between the measurement and simulation. The antenna prototype with a total size of 138 mm × 40 mm achieves good impedance matching, constant gain and stable radiation patterns. The impedance bandwidth of the antenna reaches up from 600 MHz to 6.0 GHz for S11 with good omnidirectional radiation performance has also been achieved.
Modelling on Impact of Building Obstruction for V2I Communication Link in Micro Cellular Environment
Authors: Turner J S C , Shahriman A B , Harun A , Murad S A Z , Isa M N , Ismail R C , Ndzi D L , Hashim M S M , Razlan Z M , Wan W K , Ramli M F 
Published: March 2021

Abstract
In vehicular communication, signal transmission in vehicle-to-infrastructure (V2I) mode typically takes place on highways, urban, suburban and rural environments. The presence of buildings in these environments poses a challenge to model path loss (PL) due to multiple propagation mechanisms such as diffractions and reflections. However, very little attention has been made to address building effects on the performance of V2I communication links in microcell environment. This paper investigates signal propagation characteristics caused by the impact of building under micro-cellular environment whereby the base station or road-side-unit (RSU) is usually located under the rooftop of building to allow communication between RSU and mobile station or on-board-unit (OBU) on the road. The goal of this paper is to validate and discuss available path loss models based on effect of building obstruction towards RSU-OBU links specifically in residential housing area. The channel measurements are conducted based on static line-of-sight (LOS) settings of a real-world environment at 2.4 GHz frequency band using IEEE 802.15.4 XBee S2C compliant device to measure its receive power. The results are demonstrated based on received signal strength indicator (RSSI) and root mean square error (RMSE). The attenuation profile is validated and compared with suitable path loss models to evaluate best fit and most compatible model based on our measurements data and environment. The analysis shows that several V2I path loss models and V2V channel models are applicable to be used as a reference to model in LOS microcell environment with building obstruction. The finding shows that PL Urban yields the best fit V2I path loss model in terms of RMSE when compared to our measurement campaign at 2.4 GHz.