bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reliability of Scoring Telehealth Speech Sound Assessments Administered in Real-World Scenarios
Authors: Campbell Deborah R. , Goldstein Howard 
Published: April 2022

Purpose:
COVID-19 caused a worldwide conversion from in-person therapy to telehealth; however, limited evidence to support the efficacy of remotely delivering standardized tests puts the future of widespread telehealth use at risk. The aim of this study is to investigate the reliability of scoring a speech sound assessment administered in real-world scenarios including two examples of telehealth technology.

Method:
A total of thirty-nine 3- to 8-year-olds were administered the Goldman-Fristoe Test of Articulation–Third Edition. Licensed speech-language pathologists (SLPs) concurrently scored children's responses in person and in two telehealth conditions considered typical and enhanced. Mean standard scores and interrater reliability results were compared among the three conditions. Descriptive statistics were used to summarize the frequency of technology and behavior disruptions during administration and the results of an SLP telehealth perception survey.

Results:
All scoring conditions were found to be highly correlated, with mean differences revealing no systematic differences of one condition over- or underestimating another. Although response agreement was high (85%–87%), final sounds in words or sounds that are difficult to observe tended to attenuate reliability. Neither child nor technology disruptions affected SLPs' ability to score responses. Despite no significant differences between conditions on scoring reliability, SLP participants reported they continued to prefer in-person over a telehealth speech sound assessment.

Conclusions:
This study supports the provision of a pediatric speech sound assessment using consumer-grade equipment, as in-person, typical telehealth, and enhanced telehealth scoring conditions produced similar results. However, SLP participants' skeptical attitudes toward remote delivery of standardized tests reveal an ongoing barrier to widespread telehealth use.

Supplemental Material:

https://doi.org/10.23641/asha.19593367
Perspectives of Speech-Language Pathologists About Customary Practices, Knowledge of Thickening Process, and Quality Control of Thickened Liquids
Authors: Garcia Jane Mertz , Chambers IV Edgar , Boyer Anna 
Published: April 2022

Purpose:
This survey examines the practice patterns of speech-language pathologists (SLPs) when recommending thickened liquids as part of dysphagia management. It also surveys SLPs' knowledge and learning methods about thickening agents and factors contributing to quality control in service delivery such as staff instruction and familiarity with measurement tools to verify level of texture consistency.

Method:
The electronic survey was posted to the community groups for SLP Health Care and Special Interest Group 13 Swallowing and Swallowing Disorders (Dysphagia) of the American Speech-Language-Hearing Association given that their members included professionals with interest and experience in dysphagia management.

Results:
A total of 246 SLPs, primarily with an adult emphasis in dysphagia management, provided survey responses. Respondents generally viewed the use of thickened liquids as a short-term intervention and self-reported that nectar-like (mildly thick) represented their most recommended level of texture modification. Although SLPs' perceived knowledge about thickening agents varied greatly, the majority selected response options that implied a level of understanding for effective interactions with basic care staff or nutrition professionals. Findings highlight a continued reliance on instant thickening products even though staff instruction about preparation remains inconsistent.

Conclusions:
Quality control concerns persist, including SLPs' limited familiarity and use of measurement tools for characterizing beverage consistency. Outcomes support standardized practices, including professional education activities for SLPs to learn about thickening products, the thickening process, and to educate/instruct in the preparation of thickened liquids for enhancing the nutritional care of individuals who consume them.
Slow and fast adaptive modulation and coding for uplink massive MIMO systems with packet retransmission
Authors: Radbord Amin , Harsini Jalil S. 
Published: April 2022

AbstractHere, the authors consider the uplink of a cellular massive multiple‐input multiple‐output (MIMO) system with maximum ratio combiner (MRC) at base stations (BSs). To achieve a better QoS provisioning, users in the cells employ link adaptation using adaptive modulation and coding (AMC) in conjunction with packet retransmission. The authors present a cross‐layer approach for the AMC design exploiting the time variation feature of MIMO wireless channels. At first, a fast AMC (FAMC) scheme is proposed to adapt the fast small‐scale fading of the wireless channel based on the instantaneous channel state information. Since the fast fading is asymptotically averaged out due to the channel hardening property of massive MIMO system, we then suggest a slow AMC (SAMC) scheme which adjusts the adaptation parameters based on only the large‐scale channel fading statistics including shadow fading and pass loss of the channel. The SAMC substantially reduces the feedback rate and implementation cost because of using a larger coherence time compared to that of the FAMC. For the proposed schemes, the probability density function of signal‐to‐interference‐plus‐noise ratio (SINR) for MRC receivers at BSs is analytically derived and verified by simulation. Also, closed‐form expressions are presented for the throughput and packet error outage of the system. Index Terms—Massive MIMO, MRC, AMC, ARQ, Performance analysis.
Sensor reduction of a PV‐grid tied system with tripartite control based on LCL filter
Authors: Kumari Khushboo , Jain Amit Kumar 
Published: April 2022

AbstractThis paper deals with a tripartite control based on LCL‐filter for a single‐stage solar photovoltaic (PV) interconnected three‐phase grid‐tied system. This work proposes a novel tripartite control for LCL‐filter based on sensing capacitor side voltage utilising two sensors. Conventionally, the control algorithm requires six sensors for sensing the inverter‐side inductor current, capacitor side voltage, and grid‐side inductor current. However, in this work, to execute the tripartite control algorithm, the only voltage across the filter capacitor need to be sensed. The voltage across the filter capacitor estimates inverter‐side inductor current and grid‐side inductor current. The proposed algorithm offers the advantage/benefit in reducing size, weight, and implemented cost. As an outcome, the reduction in the complexity of the hardware takes place. The implemented system is analysed for parametric variation to ensure the stability and robustness of the system. The system response is observed under digital control delay variation. The proposed method offers a cost‐effective solution for meeting grid regulation. The implemented system is extensively tested and validated by simulation in the MATLAB/Simulink platform. The justification of the system is carried out by experimental results obtained from the prototype designed in the laboratory.
Using structured laser illumination planar imaging (SLIPI) as a new technique to monitor the degradation of biodegradable oils in electrical power transformers
Authors: Koffi Thomas , Kassi Koutoua S. , Kone Gbah , N'Cho Janvier S. , Edoé Mensah , Bosson Jocelyne , Fofana Issouf , Zoueu Jérémie 
Published: April 2022

AbstractThe aging process of the insulating oils of an electrical transformer is initiated as soon as the transformer is put into service. The quality of these oils must therefore be rigorously evaluated to have reliable and exploitable data for decision‐making. In general, the decision is to continue monitoring, reclaiming/regenerating, or replacing the oil in extreme cases. Thus, early diagnosis of power transformer oils helps prevent potential breakdowns that could considerably impact the electrical energy transmission and distribution network. This research used an imaging technique called SLIPI (Structured Laser Illumination Planar Imaging) to accurately determine the extinction coefficient in different samples of optically dense biodegradable oils (natural and synthetic esters). The variation in the extinction coefficient as a function of the aging of these biodegradable oils under test has been investigated. The results indicate that the SLIPI is reliable as a diagnostic tool for biodegradable oils in power transformers. This technique could therefore be an alternative solution to the conventional monitoring methods.
A dense R‐CNN multi‐target instance segmentation model and its application in medical image processing
Authors: Yang Ruiping , Yu Jiguo , Yin Jian , Liu Kun , Xu Shaohua 
Published: April 2022

AbstractIn the medical image analysis domain, medical image segmentation has a significant impact on the quantitative analysis of organ or tissue function, as the first and critical component of diagnosis and treatment pipeline. In this paper, a dense R‐CNN segmentation model based on dual‐attention are proposed for medical images multi‐target instance segmentation. The model combines channel and spatial attention mechanism to extract image features and fuse multi‐scale feature information hierarchically. It combines up‐sampling strategies such as dilated convolution and bilinear interpolation to strengthen the distinguishability between multi‐target instances and pixel‐level features in other regions. The multi‐target detection mechanism of R‐CNN is combined with the multi‐scale feature extraction and fusion ability of dense convolution network. In the encoding stage, the multi‐scale hybrid bottleneck module and deformable convolution are introduced to extract more accurate structural feature information and increase the receptive‐field. In the decoding stage, the bilinear interpolation and the adaptive hierarchical fusion mechanism are used to strengthen the distinguishability between the target region and other regions, and improve the accuracy of instance segmentation. Taking cardiac MRI segmentation as an example, the left and right ventricles, and left ventricular myocardium are selected as segmentation targets. The pixel accuracy is 90.82%, the class pixel accuracy is 87.91%, the mean intersection‐over‐union is 81.52%, the Dice coefficient is 89.82%, and Hausdorff distance is 9.2, which is improved compared with other methods. It verifies the accuracy and applicability of the proposed method for multi‐target instance segmentation of medical images.
Performance improvement for large floating wind turbine by using a non‐linear pitch system based on neuro‐adaptive fault‐tolerant control
Authors: Wang Lei , Jin Fangjun , Chen Jiawei , Gao Yang , Du Xin , Zhang Zhihong , Xu Zhiliang , Yang Jiongming 
Published: April 2022

AbstractTo stabilize the power out and reduce the dynamic loads in the over‐rated state, the pitch system is key for regulating pitch angle to the desired one obtained from the command layer. Here, actuator failure of the pitch system is considered and a neural adaptive fault‐tolerant control strategy with a rate function is proposed. More specifically, a non‐linear model of the pitch system considering time‐varying parameter uncertainties and unknown disturbances is established firstly. Then, the neural network is used to counteract the external disturbance and system uncertainty. The rate function with adjustable parameters is designed to transform the error, which makes the tracking error decrease at a fast rate and converge to a small zero domain, and realize the control goal of accurate and fast tracking the desired pitch angle of the pitch system. A co‐simulation is developed, and the merits of the proposed method are verified.
Asymmetric‐fed triband antenna for military radars and 5G applications using microstrip technology
Authors: Bamy Ce Lakpo , Moukala Mpele Pierre 
Published: April 2022

AbstractAchieving antenna size reduction while maintaining high efficiency and multiband characteristics with wide bandwidths across all the operating frequency bands is highly demanded and challenging in microstrip antennas. A novel compact triband quasi‐rho‐shaped and cost‐effective antenna is designed on a 7 × 7 × 1 mm3 FR4 substrate having a permittivity of 4.4 and a loss tangent of 0.02. With an electrical size of 0.39λ0 × 0.39λ0 × 0.056λ0, where λ0 is the free space wavelength at 16.84 GHz, a circular slot and asymmetric microstrip feed are used to achieve the desires performance. The proposed antenna is designed, simulated, and optimized using high‐frequency structure simulator (HFSS) software, and its prototype is fabricated to validate its electromagnetic performance. Furthermore, an equivalent circuit is proposed using the Foster canonical model. The proposed antenna exhibits a maximum stable gain of 5.32 dB and an average radiation efficiency of 77.87% in all the operating frequency bands. The measurement results show that the antenna covers (16.84–18.15 GHz), (24.78–27.40 GHz), and (34.47–37.22 GHz) bands centred at 17.39 GHz, 25.98 GHz, and 35.83 GHz, respectively, with a minimum wide bandwidth (S11 ≤ −10 dB) of 1.31 GHz. The acquired results illustrate that the quasi‐rho‐shaped antenna is suitable for military radars and 5G applications.
Manuelle Geburtsarbeit
Authors: Klotzsch Anne-Katrin 
Published: April 2022

Von Hebammen betreute Menschen in besten Händen
Unsere Hände
spielen in unserem Beruf eine besondere Rolle. Wir ertasten mithilfe der
Leopoldschen Handgriffe die Lage des Kindes von außen, untersuchen von
vaginal die Eröffnung des Muttermundes sowie die Einstellung des
vorangehenden Teils oder können mit Massagetechniken und Berührungen
Entspannung und Schmerzlinderung während der Geburt schaffen. Unsere
manuellen Skills sind dabei vielseitig und essenziell. Hebammen sind dazu
befähigt und qualifiziert, weitab von technischen
Überwachungsmöglichkeiten eine umfängliche Betreuung in der
Schwangerschaft und über die Geburt hinaus zu ermöglichen. Schon
während der Ausbildung werden diese manuellen Skills fokussiert gelehrt und
erlernt sowie über die Jahre trainiert und gefestigt.
Wird die psychosoziale Begleitung von Eltern Früh- und kranker Neugeborener als Mittel der Prävention von sozialer Benachteiligung genutzt?
Authors: Rößler Gesine , Thome Ulrich , Mühler Katrin , Knüpfer Matthias , Pulzer Ferdinand , Kiess Wieland 
Published: April 2022

ZUSAMMENFASSUNG2014 wurde in Deutschland die seit 2005 bestehende Richtlinie des Gemeinsamen Bundesausschusses (G-BA) zur Begleitung von Eltern Frühgeborener und kranker Neugeborener an Level-1- und -2-Kliniken, um psychosoziale Strukturvorgaben erweitert.Ziel der Studie war neben der Feststellung der allgemeinen Nutzung des Beratungsangebotes, die Unterschiede in der Betreuung von sozial benachteiligten Familien und nicht sozial benachteiligten Familien darzustellen.Bereits seit 2005 beschäftigte die Universitätskinderklinik Leipzig eine Sozialpädagogin auf diesem Gebiet.Untersucht wurde die psychosoziale Begleitung von 1265 Familien mit 1470 Kindern (37 % der neonatologisch betreuten Kinder) in den Jahren 2008–2010 und 2012–2014.Herausgearbeitet wurden soziale und wirtschaftliche Merkmale der Familien mit deren Hilfe eine Unterteilung in sozial benachteiligte (Gruppe 1) und nicht sozial benachteiligte Familien (Gruppe 2) möglich war.Es erfolgten eine Darstellung der Beratung mit Art und Häufigkeit der Kontakte aller Familien sowie ein Vergleich der zwei zu untersuchenden Gruppen miteinander.Insgesamt nutzten 854 Familien (67,5 %) die Möglichkeit einer Sozialberatung. 409 Eltern (32,3 %) wurden psychosozial begleitet.Sozial benachteiligte Familien nahmen das Angebot sozialer Unterstützungsmöglichkeiten seltener in Anspruch als nicht sozial benachteiligte Familien (55,7 % versus 72,8 %). Psychologische Beratungen wurden von sozial benachteiligten Familien weniger genutzt als von nicht sozial benachteiligten Familien (38,3 % versus 20,4 %).Sozial benachteiligte Familien nahmen das Hilfsangebot seltener und weniger umfassend in Anspruch als nicht sozial benachteiligte Familien, die eine Beratung möglicherweise von sich aus eher eingefordert hatten.
A preclinical platform for assessing antitumor effects and systemic toxicities of cancer drug targets
Authors: Li Xiang , Huang Chun-Hao , Sánchez-Rivera Francisco J. , Kennedy Margaret C. , Tschaharganeh Darjus F. , Morris John P. , Montinaro Antonella , O'Rourke Kevin P. , Banito Ana , Wilkinson John E. , Chen Chi-Chao , Ho Yu-Jui , Dow Lukas E. , Tian Sha , Luan Wei , de Stanchina Elisa , Zhang Tinghu , Gray Nathanael S. , Walczak Henning , Lowe Scott W. 
Published: April 2022

Significance
Many new cancer drugs fail at the clinical stage owing to poor efficacy and/or excessive toxicity, though whether this reflects shortcomings of the target or the drug is often unclear. To gain earlier insights into factors that can influence the therapeutic index of target inhibition in vivo, we combine inducible RNA interference and somatic engineering technologies to produce a cost-effective platform that enables systemic and inducible suppression of candidate target in normal tissues and tumor cells in the same mouse. By comparing the consequences of genetic and pharmacological CDK9 inhibition, we establish the utility of this platform to predict factors influencing the therapeutic index. Additionally, our studies provide support, and some cautionary notes, for the clinical development of CDK9 inhibitors.
Memes and the media narrative
Authors: Wiggins Bradley E. 
Published: April 2022

Abstract
This article presents the results of a critical discourse analysis of internet memes. This analysis considers the highly visual nature of internet memes situated in a context of meme-as-utterance prompting other remixed versions as memes-as-responses. Prior to the analysis an orientation to pragmatics as related to internet memes is presented. Following this is an overview of memes research and a necessary discussion of the role of media narratives in the construction and dissemination of internet memes. Finally, a series of memes tweeted in response to Nike’s inclusion of former National Football League player, Colin Kaepernick, in its Just Do It anniversary campaign, serves as the corpus of analysis.
On the interaction of core and emergent common ground in Internet memes
Authors: Diedrichsen Elke 
Published: April 2022

Abstract
Internet memes are meaningful objects of diverse shapes that spread across networks of mediated participation (term from Milner 2012: 10). The distribution and reception of memes bears aspects of communicative interaction, because memes establish usage conventions. This paper will be concerned with the pragmatics of Internet memes. Given that flexibility, novelty and originality are driving forces in meme culture, the question arises how traditional pragmatic notions like recipient design and common ground can be said to apply for the interaction with memes. Kecskes’ (2008, 2010, 2012, 2014; Kecskes and Zhang 2009) distinction between core common ground and emergent common ground will be discussed and put to use for an explanation of the complex interactive dynamics of Internet communication. This modern form of communication oscillates between reference to shared cultural contents and the establishment and perpetuation of conventions on the one hand, and the pursuit of originality on the other hand. This paper will demonstrate how memes can vary with respect to the degree to which they require core common ground or the generation of emergent common ground for their proper usage. The scale presented as a result of the discussion represents a continuum of the prevalence of semantics versus pragmatics involved in the usage and interpretation of memes.
Land management through conservation agriculture and associated practices.
Authors: Thierfelder Christian 
Published: April 2022

Abstract

This chapter presents conservation agriculture, which can help smallholder farmers build better resilience to the consequences of climate change and variable weather (including persistent droughts and unseasonal dry spells). It addresses challenges to crop productivity and profitability while promoting sustainable land use and supporting ecosystem services. Conservation agriculture is based on the principles of minimum soil disturbance, crop residue retention, and crop rotation.
The roles of national and global identities and leaders in the acceptance of COVID-19 vaccines developed by different countries (Los roles de las identidades y los líderes nacionales y globales en la aceptación de las vacunas contra la COVID-19 desarrolladas por diferentes países)
Authors: Akfırat Serap , Üzümçeker Emir , Uysal Mete Sefa , Yurtbakan Taylan , Ergiyen Tolga , Görüryılmaz Taner 
Published: April 2022

The current paper aims to study the social-psychological factors that would play roles in COVID-19 vaccine acceptance. Specifically, we examined whether national and global identifications and the leaders whom people think being in charge of managing the COVID-19 pandemic on a national scale could explain people’s acceptance of the COVID-19 vaccines developed by different countries. We proposed a model in which people’s assessment of the leader in terms of identity-leadership mediates the relationship between different identification types (i.e., global and national) and acceptance of Western, Asian or national vaccines. The model was tested on self-reported data collected in Turkey ( N = 694) utilizing Structural Equation Modelling (SEM) in R software. The results revealed that national identification positively predicted acceptance of national vaccines and negatively predicted acceptance of Western vaccines; both of the relationships were also mediated by people’s assessments of the leader in terms of identity-leadership dimensions. On the other side, global identification positively predicted acceptance of Western vaccines. The implications of the findings were discussed in terms of their practical contributions along with their theoretical relevance.