bluuebunny/crossref_metadata_2025_split huggingface dataset:
Child–Parent–Provider Interactions of a Child With Complex Communication Needs in an Inpatient Rehabilitation Facility: A Pilot Study
Authors: Gormley Jessica , Light Janice 
Published: December 2020

Purpose
Children with complex medical needs often require extensive hospitalizations in the first years of life. Many of these children also experience complex communication needs and use augmentative and alternative communication (AAC) strategies to interact with health care staff. Unfortunately, suboptimal communication experiences have been reported among these children, their families, and hospital staff; however, no studies have described the patterns of interactions beyond measures of self-report. The purpose of this study was to describe child–parent–provider interaction patterns that occurred in an inpatient unit.

Method
Observational techniques were used to systematically describe the interactions of a 28-month-old child with complex communication needs, her parents, and 26 health care providers on an inpatient rehabilitation unit over 10 days.

Results
Results indicated that substantial variability in the child's routine occurred across days and providers. Interactions were generally short and occurred for only a small proportion of the child's waking hours. The child and her mother actively communicated to varying degrees across sessions, yet health care providers often dominated interactions. The child used multiple modes of communication in each interaction; however, no aided AAC systems were used despite availability.

Conclusions
Training is urgently required to equip health care providers to (a) incorporate the use of aided AAC strategies during inpatient interactions and (b) increase the active participation of both children with complex communication needs and their parents during these interactions.

Supplemental Material

https://doi.org/10.23641/asha.13345187
Down Syndrome and Autism Spectrum Disorder Dual Diagnosis: Important Considerations for Speech-Language Pathologists
Authors: Versaci Theresa M. , Mattie Laura J. , Imming Laura J. 
Published: December 2020

PurposeIndividuals with Down syndrome (DS) often receive speech-language therapy services starting in infancy or toddlerhood. When providing speech-language therapy services for children with DS, speech-language pathologists (SLPs) need to consider the impact of other developmental and comorbid disorders that can affect language development, such as the presence of a dual diagnosis of DS and autism spectrum disorder (DS + ASD). The prevalence rate of ASD in DS is ~20%, which is higher than in the general population.MethodThis clinical focus article aims to provide SLPs with additional knowledge about DS + ASD to improve service delivery and support parents' ability to advocate for their child with confirmed or suspected DS + ASD. This is accomplished by summarizing the current evidence base on the presence of ASD in DS and discussing implications of a DS + ASD diagnosis for clinical practice with SLPs.ConclusionsSLPs play a key role in supporting families of those with DS + ASD by advocating and educating. By understanding the unique profiles of strengths and weaknesses of individuals with DS + ASD, SLPs can provide appropriate service delivery (i.e., treatment and intervention approaches) and advocacy for their clients and their families.
Toward More Inclusive Gender Identity Measurement in Speech, Language, and Hearing Practice and Research
Authors: Merritt Brooke 
Published: December 2020

Purpose
This article discusses current trends in clinical and research settings for collecting gender identity demographic information and argues for clinicians and researchers in communication disorders and sciences to adopt a two-question method for measuring the gender identity of clients and research participants. Traditional collection of gender demographic information has been constrained to a single question format with a binary response option. Increasing numbers of individuals across the life span identify with gender minorities such as transgender, nonbinary, and gender nonconforming, among others, and the traditional format for obtaining gender-identity related information is insufficient to capture and document this increasing diversity. An example of a two-question method for measuring gender identity demographic information is provided. The benefits and challenges of adopting such a measure in clinical and laboratory settings are discussed.

Conclusions
Gender minorities constitute a growing proportion of clinical caseloads and research participants within speech-language pathology and audiology. The adoption of demographic measurement tools that are inclusive of varying gender identities is necessary to acknowledge and quantify this growth and is a first step in normalizing transgender visibility in clinical and research settings. Such a move advances cultural responsiveness within the professions and promotes competent care and optimal health outcomes for individuals who are gender diverse.
Speech-Language Pathology and Audiology Care in the COVID-19 Era: Shared Experiences
Authors: Rule David W. , Karia Mathew K. 
Published: December 2020

Purpose
The COVID-19 pandemic has rapidly altered the global health-care system and stretched scarce resources to the limit. Resource limitations include personal protective equipment and medical devices; however, limited resources also include the more valuable health-care professional. Recent focus has been on the acute management of COVID-19. Still, there is a need to focus on the long-term rehabilitation of patients moving out of the acute treatment phase and into survivorship due to chronic respiratory concerns and other COVID-19 complications. Multidisciplinary, collaborative teams will support positive outcomes. Thus, speech-language pathologists too must carefully consider their role in patient care during a global pandemic. What makes the COVID-19 pandemic unique is the rapid minimally mitigated spread of the disease from close contact to most regions of the world. However, what appears to be true is a collective experience and common bond across regional borders.

Conclusions
Perhaps, this global pandemic may lead to a global partnership, a shared experience, and mutually dependent relationships. Global health is no longer “international service” or something that happens “over there”; global health is our reality.
Average SER analysis of two‐hop WP DF relay system under κ−μ shadowed fading
Authors: Kumar Pawan , Dhaka Kalpana 
Published: December 2020

AbstractThis paper investigates the performance of a two‐hop decode‐and‐forward relaying system when the source node is energy‐constrained and it harnesses energy using the radio frequency signal radiated by the relay node. Data transmission at the energy‐constrained source node is enabled by the energy harvested at the node. The analysis is presented for two modulation schemes: coherent ‐ary phase‐shift keying and orthogonal non‐coherent ‐ary frequency‐shift keying. Analytical and asymptotic expressions for the average symbol error rate are derived for the considered modulation schemes under shadowed fading. The results are plotted to investigate the system's performance with variation in modulation order, fading parameters, and relay location.
Analysis of communication reliability in NarrowBand‐IoT oriented wireless sensor networks
Authors: He Xingyu , Liang Tingting , Zhang Zhao , Yang Guisong , Kong Linghe , Liu Ming 
Published: December 2020

AbstractThe unstable link quality in wireless sensor networks (WSNs) directly affects the success rate of data transmission. The retransmission mechanism is one of the commonly used methods to solve this problem. However, too many retransmissions could lower the communication efficiency. Therefore, to reduce retransmissions while guaranteeing the communication reliability in WSNs, this study introduces the NarrowBand Internet of Things (NB‐IoT) technology, and builds a network including both sensor and NB‐IoT nodes. The NB‐IoT node is designed to support both the radio frequency and the NarrowBand communication modes; thus it can communicate with both sensor nodes and NB‐IoT base stations. Further, the communication reliability metrics considering both the link quality and the number of retransmissions in different communication modes are defined, based on which, an adaptive communication reliability algorithm is proposed to switch the communication modes of nodes. The simulation results verify that the proposed algorithm can achieve higher success rate with less end‐to‐end delay and flexibly control the cost on NB‐IoT communication.
Secrecy performance of FSO communication systems with non‐zero boresight pointing errors
Authors: Verma Gyan Deep , Mathur Aashish , Ai Yun , Cheffena Michael 
Published: December 2020

AbstractFree space optical (FSO) communication is a promising candidate for the next generation (5G and beyond) wireless communication systems, due to its merits (i.e. low latency, high data rate, and license‐free band, among others). However, atmospheric turbulence (AT) as well as pointing error (PE) are two of the main challenges with FSO communication that affect its performance. Here, the exact closed‐form expression of the average secrecy capacity and secrecy outage probability under the composite effect of AT and non‐zero boresight PEs is evaluated. For all the regimes of the AT (weak to strong), a generalised Malaga distribution is used to model the channel fading gain of the FSO link. The expressions are generalised and valid for all turbulence, and are applicable for intensity modulation direct detection as well as heterodyne detection techniques.
Convergence of an accelerated distributed optimisation algorithm over time‐varying directed networks
Authors: Hu Jinhui , Yan Yu , Li Huaqing , Wang Zheng , Xia Dawen , Guo Jing 
Published: December 2020

AbstractIn this article, studying distributed optimisation over time‐varying directed networks where a group of agents aims at cooperatively minimising a sum of local objective functions is focused on. Each agent uses only local computation and communication in the overall process without leaking their private information. Via incorporating both a distributed heavy‐ball method and a distributed Nesterov method, a double accelerated distributed algorithm leveraging a gradient‐tracking technique and using uncoordinated step‐sizes, is developed. By employing both row‐ and column‐stochastic weight matrices, the proposed algorithm can bypass the implementation of doubly stochastic weight matrices and avoid eigenvector estimation existing in some algorithms using only row‐ or column‐stochastic weight matrices. Under the assumptions that the agents' local objective functions are smooth and strongly convex, and the aggregated directed networks of every finite consecutive directed network are strongly connected, the proposed algorithm is proved to converge linearly to the global optimal solution when the largest step‐size is positive and sufficiently small, and the largest momentum parameter is non‐negative. The proposed algorithm is also applied to fixed directed networks which are considered as a special case of time‐varying directed networks. Simulation results further verify the effectiveness of the proposed algorithm and correctness of the theoretical findings.
A modified duty‐modulated predictive current control for permanent magnet synchronous motor drive
Authors: M L Parvathy , Eshwar Kusuma , Thippiripati Vinay Kumar 
Published: December 2020

AbstractPredictive current control (PCC) is a promising technique for adjustable speed drives due to its intuitive features such as quick response, easy inclusion of non‐linearities and constraints as well as multi‐variable operation. The conventional predictive current control (C‐PCC) employs a cost function to choose the optimum vector, which reduces the error between the reference and the predicted current. Even though the C‐PCC can achieve excellent dynamic performance with a single active voltage, the steady‐state performance is affected with larger torque and flux ripples. When two voltage vectors are applied in a control interval, the steady‐state performance is improved. This paper proposes a modified duty‐based PCC for permanent magnet synchronous motor (PMSM) drives, employing an active and null vector in control interval, where the duration for which the optimal active vector is applied is based upon a simple error based calculation. The proposed duty calculation requires a simple constant and eliminates the need for current slope calculation, which results in parameter insensitive operation. The proposed method is compared with C‐PCC and recently published works based on duty calculation. The simulation and hardware experiments conducted on a PMSM drive confirm the effectiveness of the proposed method with reduced torque and flux ripples.
Study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machines
Authors: Wang Tao , Zhu Zi‐Qiang , Freire Nuno Miguel Amaral , Wu Zhanyuan , Foster Martin , Stone David A. 
Published: December 2020

AbstractGeneralized predictive control (GPC) is promising for permanent magnet synchronous machine drive systems, due to its outstanding dynamic performance and disturbance rejection capability. However, the speed measurement noise introduced by the encoder and the unmodelled disturbances introduced by the non‐ideal machine characteristics deteriorate the performance of GPC. The noise and disturbance issues are studied in detail, and an enhanced GPC method is proposed to address them. For the noise issue, the mathematical model of the speed measurement noise is derived, and the noise spectra at different speeds are analysed. Then, a novel GPC with internal low‐pass filter is proposed to reject the influence of the noise. For the disturbance issue, the influence of the unmodelled disturbances on the speed performance is assessed when applying different noise rejection methods, and a resonant controller‐based speed ripple mitigation method is proposed and integrated to the GPC. Experimental results show that the proposed methods can effectively deal with the noise and disturbance issues, as well as providing better dynamic performance than the conventional PI based speed control.
Multi‐stage coordinated operation of a multi‐energy microgrid with residential demand response under diverse uncertainties
Authors: Chen Yumin , Feng Xue , Li Zhengmao , Xu Yan , Miragha Amir 
Published: December 2020

AbstractThis paper presents a two‐stage stochastic operation method for a multi‐energy microgrid (MEMG). The method can optimally schedule distributed generators, electric boilers, electrical chillers, and storage devices under the system technical constraints. Various uncertainties from renewable energy generation, electricity tariff, and load demands are handled by this method. At the same time, the indoor temperature is controlled to guarantee the thermal comfort of customers. At the first stage, the unit commitment of all generators and charging/discharging power of energy storage devices are obtained. At the second stage, real‐time generation outputs from the generators are optimized given the uncertainty realization. The developed model is formulated as a mixed‐integer linear programming (MILP) problem with the objective of minimizing the daily operating cost. Several case studies are carried out to examine the effectiveness and performance of the proposed method. Simulation results show that the proposed method can effectively save the operational cost and, at the same time, maintain the robustness of the MEMG and customers’ thermal comfort.
Integration technology and practice for long‐distance offshore wind power in China
Authors: Pan Ersheng , Yue Bo , Li Xuan , Zhao Zheng , Zhu Quanle 
Published: December 2020

AbstractOffshore wind power is an important kind of clean energy and of great development potential in the future. It has advantages of high wind speed and stable wind power, and gradually exhibits large‐scale, clustering, and long‐distance characteristics. Key technical problems of large‐capacity offshore wind power transmission over long distance must be solved in the development and utilization of offshore wind power, and will be addressed in this paper. First, this paper presents the overview of long‐distance offshore wind power integration in China, and then summarizes three types of integration schemes and its applicability. Second, it analyzes the characteristics of the voltage source converter based high voltage direct current (VSC‐HVDC) integration scheme and associated key technical problems in practice, and the first milestone long‐distance offshore wind power integration VSC‐HVDC project in China is then introduced. Finally, recommendations on long‐distance offshore wind power development in China are presented based on the characteristics of long‐distance offshore wind power and VSC‐HVDC integration technology.
A novel MILP‐Newton approach for power flow analysis
Authors: Silva Diego Nunes da , Pereira Júnior Benvindo Rodrigues , Costa Geraldo Roberto Martins da 
Published: December 2020

AbstractThis paper presents a novel mixed integer linear programming‐Newton approach for solving constrained AC power flow problems, based on a recently proposed linear programing‐Newton method. The linear programming‐Newton method overcomes some deficiencies of the classical Newton's method, while retaining its quadratic convergence in the neighbourhood of a solution. The discrete nature of some control variables, such as transformer tap ratios and bus shunt susceptances, are often ignored in power flow algorithms due to difficulties that they introduce. The violation of operational limits in power flow algorithms is typically corrected in ex‐post procedures, such as PV‐PQ bus switching, which may lead to infeasibilities. Finally, under some circumstances, power flow problems may not have a solution; in these cases, a desirable property of a power flow algorithm would be the ability to obtain a nearly feasible solution. The approach proposed in this paper handles these difficulties in a unified framework and is able to deal directly with discrete variables and operational limits. When there are no power flow solutions, a nearly feasible solution that minimizes a merit function is obtained. Numerical experiments show that the proposed approach is robust and obtains accurate solutions in the presence of discreteness conditions and operational limits.
Islanding detection in photovoltaic based DC micro grid using adaptive variational mode decomposition and detrended fluctuation analysis
Authors: Eluri Naga Venkata Durga Vara Prasad , Dash Pradipta Kishore , Dhar Snehamoy 
Published: December 2020

AbstractThis study presents a novel approach using adaptive variational mode decomposition with detrended fluctuation analysis to detect the islanding disturbances for photovoltaic based DC micro grid. DC parameters are simple to estimate in comparison to AC profile. Thus DC parameters are recorded under islanding scenario, and processed through proposed adaptive variational mode decomposition which decomposes the signals into intrinsic mode functions. These segregated intrinsic mode functions are further selected optimally by choosing the significant weighted kurtosis index. This optimal selection (maximisation of weighted kurtosis index) is ensured by modified particle swarm optimisation in terms of number of modes (K) and penalty factor (σ). For detection and monitoring (D&M) accurate islanding scenario the significant intrinsic mode functions are subjected to detrended fluctuation analysis, where power exponent (α) values are utilised for correct detection (i.e. distinguishing islanding out of other grid contingencies by two and three dimensional scattering plots). The effectiveness of the proposed D&M for DC micro grid is established in this paper in terms of classification accuracy and relative computational time. The proposed DC side islanding D&M method is less complex (as compared to AC signals) to be implemented. Fastness and accuracy of proposed D&M is established and performed in MATLAB/Simulink platforms.
Data‐driven power system linear model identification for selective modal analysis by frequency interpolations
Authors: Zelaya‐A. Francisco , Chow Joe H. , Arrieta Paternina Mario. R. , Zamora‐Mendez Alejandro 
Published: December 2020

AbstractThis paper proposes a new approach to identify a data‐based power system linear model by means of frequency interpolations, aiming to obtain a suitable system representation for selective‐modal analysis purposes. The key idea behind the identification process is the Loewner‐based frequency interpolation carried out by the Loewner matrices. The proposed approach demonstrates that the Loewner‐based frequency interpolation is able to fit a linear model that can be used for small‐signal analysis studies, since it provides the state‐space representation, the frequency response, and modal information (frequency, damping, and mode‐shape). Then, a selective modal analysis is accomplished over two test cases (Kundur and New England–New York power grids) by employing the identified linear model provided by the Loewner‐based frequency interpolation method. The attained results confirm the outstanding performance of the proposal which is validated against the small‐signal analysis and compared with the eigensystem realisation algorithm, overcoming the absolute error of the model identified with the traditional eigensystem realisation algorithm approach by at least 37 times, and properly capturing the modal information in a frequency band of concern.
Effect of magnetic field on double layer in argon helicon plasma
Authors: Yang Kaiyi , Cui Ruilin , Zhu Wanying , Wu Zhiwen , Ouyang Jiting 
Published: December 2020

AbstractThe electric double layer in argon helicon plasma by using floating electrostatic probe and local optical emission spectroscopy under different external magnetic field was investigated. Results show that electrons generated in the plasma source can be magnetized by the magnetic field and transported by the gradient of diverging magnetic field in the diffusion chamber, giving rise to the hollowed distribution of electron temperature. The electron temperature on axis has a sudden decrease, leading to the sudden decrease of plasma density as well as the plasma potential, forming a double layer structure. The position of double layer moves along with the position of diverging magnetic field, and the potential drop increases along with the strength of magnetic field. The structure of the external magnetic field plays the decisive factor for the double layer in helicon plasma.