bluuebunny/crossref_metadata_2025_split huggingface dataset:
Speech Intelligibility Outcomes Associated With Treatment for Acquired Apraxia of Speech: Magnitude of Change and Stability of Measurement
Authors: Mauszycki Shannon C. , Bunker Lisa D. , Bailey Dallin J. , Wambaugh Julie L. 
Published: September 2024

Purpose:
The purpose of this investigation was to examine single-word speech intelligibility outcomes following sound production treatment in a group of 22 speakers with chronic acquired apraxia of speech (AOS) and aphasia. Also, the stability of repeated posttreatment intelligibility measures was examined for two scoring methods.

Method:
The Assessment of Intelligibility of Dysarthric Speech was administered twice to each participant at pretreatment and twice at 8 weeks posttreatment. The test–retest reliability of the pretreatment samples was evaluated in a prior study; repeated samples were found to be stable over sampling times. For the current study, the three expert listeners who had rated the pretreatment samples scored the posttreatment samples using transcription and multiple-choice scoring formats. An additional expert listener, blinded to sampling time, scored pre- and posttreatment samples.

Results:
The posttreatment samples were found to be stable over sampling times for the group. Posttreatment intelligibility scores were statistically significantly higher than the pretreatment scores for both scoring methods (i.e., increases of 9%–10%). Scores derived from the two scoring methods were strongly, positively correlated, with multiple-choice scores being significantly higher than transcription. The scoring methods did not differ significantly in the amount of change found from pre- to posttreatment. There were no statistically significant correlations between AOS severity and changes in pre- to posttreatment intelligibility scores. Performance for most participants was similar to group performance.

Conclusions:
Stability of posttreatment intelligibility samples supports use of intelligibility scores as outcome measures. This group of speakers demonstrated statistically significant increases in single-word speech intelligibility following sound production treatment.

Supplemental Material:

https://doi.org/10.23641/asha.26972425
An empirical study of ISAC channel characteristics with human target impact at 105 GHz
Authors: Chen Wenjun , Zhang Yuxiang , Liu Yameng , Zhang Jianhua , Gong Huiwen , Jiang Tao , Xia Liang 
Published: September 2024

AbstractLeveraging the ultra‐wideband advantages of the terahertz band, Integrated sensing and communication (ISAC) facilitates high‐precision sensing demands in human smart home applications. ISAC channel characteristics are the basis for ISAC system design. Currently, the ISAC channel is divided into target and background channels. Existing researches primarily focus on the attributes of human target itself, e.g. radar cross‐section and micro‐Doppler effect. However, the impact of human target on neither the pathloss characteristic of background channel nor the multipath propagation characteristic of target channel is considered. To address the gap, we conduct indoor channel measurements at 105 GHz to investigate the ISAC channel characteristics with the impact of human target. Firstly, by analysing the power angular delay profiles with and without human target, the changes in quantity and power of multipath components (MPCs) are observed. Then, a parameter called power control factor is proposed to evaluate the human target impact on pathloss, thereby modifying the existing pathloss model of background channel. Eventually, the MPCs belonging to target channel are extracted within target‐oriented power delay profile to count the power proportion of each bounce MPCs of the target‐Rx link, which supports the necessity of multi‐bounce (indirect) paths modelling in target channel.
Die Sentinel-Lymphknoten-Biopsie beim Mammakarzinom – was haben wir in den letzten 20 Jahren gelernt?
Authors: Kühn Thorsten 
Published: September 2024

ZusammenfassungVor gut 20 Jahren wurde die Sentinel-Lymphknoten-Biopsie (SLNB) als Standardverfahren für das axilläre Staging beim invasiven Mammakarzinom eingeführt und ersetzte die über Jahrzehnte etablierte Axilladissektion (ALND), bei der alle Lymphknoten aus den Leveln 1 und 2 aus diagnostischer und/oder therapeutischer Indikation entfernt wurden. Dabei stellte die Implementierung der SLNB lediglich den ersten Schritt zu einer kontinuierlichen Deeskalation der Lymphknoten-Chirurgie dar. Diese Entwicklung begründete sich mit dem zunehmenden Ersatz prognostischer Faktoren durch prädiktive Marker für adjuvante Therapieentscheidungen, die Möglichkeit, das Tumorstadium durch eine vorgeschaltete Chemotherapie (NACT) herabzustufen sowie die Bestätigung älterer Studien, die bereits sehr frühzeitig den therapeutischen Benefit einer ALND in Zweifel gezogen haben. Bei Patientinnen, die eine primäre Operation erhalten, werden zunehmend Kollektive identifiziert, bei denen gar keine SLNB mehr durchgeführt werden muss. Auch die therapeutische ALND ist bei Frauen mit einem positiven SLN nur noch in Ausnahmefällen erforderlich. Die Einführung der SLNB nach einer NACT bei Patientinnen mit primär unauffälligen Lymphknoten erlaubte nicht nur die verlässliche Beurteilung der Tumorresponse, sondern auch eine Reduktion der ALND-Rate durch die Konversion des Nodalstatus bei vielen Patientinnen. Bei nodalpositiven Frauen, die unter Chemotherapie zu einem klinisch unauffälligen Lymphknotenstatus konvertieren, setzt sich zunehmend die Targeted Axillary Dissection als neuer operativer Standard durch.
Experimental examination on electrochemical micro-machining of Mg–Li–Sr biomedical alloy: Application of ANOVA, Deng’s similarity, and ANFIS for effective modeling optimization
Authors: Kavimani V. , Gopal P. M. , Sivamaran V. , Algburi Sameer , Barik Debabrata , Paramasivam Prabhu , Alsabhan Abdullah H. , Alam Shamshad 
Published: September 2024

In this work, a newly discovered biomedical grade Magnesium–Lithium–Strontium (Mg–Li–Sr) alloy is machined using electrochemical machining technology. Two main output constraints employed on the research project to evaluate machinability are surface roughness (Ra) and material removal rate (MRR). Changing feed rate (FR), current, electrolyte concentration (EC), and voltage is required in order to carry out experimental experiments. The trials were designed using the Taguchi method. The ANOVA findings show that current is the most significant factor, after voltage as the most significant input parameter in regulating Ra and MRR. The ideal parameter configuration for the CRITIC-linked Deng’s similarity approach method was 5 V, 1 A of current, 0.4 mm/min of FR, and 20 g/l of EC. The final product was a 0.0323 mm/min MRR and a 2.61 μm surface roughness. Furthermore, the response variables are anticipated using the adaptive neuro-fuzzy Inference System, which finally results in predictions that are very similar to the experimental results.
A machine learning framework for quantum cascade laser design
Authors: Correa Hernandez Andres , Gmachl Claire F. 
Published: September 2024

A multi-layer perceptron neural network was used to predict the laser transition figure of merit, a measure of the laser threshold gain, of over 900 × 106 Quantum Cascade (QC) laser designs using only layer thicknesses and the applied electric field as inputs. Designs were generated by randomly altering the layer thicknesses of an initial 10-layer design. Validating the predictions with our 1D Schrödinger solver, the predicted values show 5%–15% error for the laser structures, well within QC laser design variations. The algorithm (i) allowed for the identification of high figure of merit structures, (ii) recognized which layers should be altered to maximize the figure of merit at a given electric field, and (iii) increased the original design figure of merit of 94.7–141.2 eV ps Å2, a 1.5-fold improvement and significant for QC lasers. The computational time for laser design data collection is greatly reduced from 32 h for 27 000 designs using our 1D Schrödinger solver on a virtual machine, to 8 h for 907 × 106 designs using the machine learning algorithm on a laptop computer.
(Im)Politeness in Vedic Sanskrit
Authors: Rubio Orecilla Francisco Javier 
Published: September 2024

Abstract
This paper focusses on verbal politeness in the direct speech found in Vedic. Certain impersonalisation strategies
typical of classical Sanskrit are already attested here, as third-person polite directives or as the expression of the speaker’s
wishes, rather than as direct commands, and represent the maximum degree of illocutionary opacity. Passive syntax, which is a
prominent device of indirectness in classical Sanskrit, is still marginal in Vedic. In the analysis of terms of address, a
hierarchical but highly flexible politeness-orientated allomorphy can be observed. Moreover, the speaker can, in the same
interaction, shift from one level of politeness to another to convey changes in his or her self-perception regarding the level of
wisdom that he or she has with respect to an interlocutor (factor [±knowing]); rules marked by social stratification are not found
to be decisive, contrary to what has been shown to be the case in post-Vedic normative texts.
Contrastive input enhancement in captioned video for L2 pronunciation learning
Authors: Mora Joan C. , Fouz-González Jonás 
Published: September 2024

Abstract
This study investigated the potential of input
enhancement in captioned video to facilitate learners’ perceptual
sensitivity to a difficult L2 vowel contrast (/æ/-/ʌ/). Participants were
randomly assigned to two control and four experimental viewing conditions to
explore the effects of audiovisual input (a 30-minute TV episode) on
perceptual learning. Textual enhancement on captions highlighted target
sounds contrastively (two colors) or non-contrastively (one color) in words
transcribed orthographically or in IPA phonetic symbols. Learners’ /æ/-/ʌ/
perception gains were assessed through lexical and phonetic identification
and discrimination tasks. Eye-gaze measures were used to determine the
effectiveness of enhancement in drawing learners’ attention to the target
contrast across viewing conditions. Perceptual learning was observed,
although not always consistently across tasks and conditions.
A mesoscopic device for a realization of the topological Kondo effect
Authors: Sarkar Saheli , Tsvelik Alexei M 
Published: September 2024

Abstract
The search for anyons is a field of immense interest owing to its potential application in the field of quantum information. Quantum critical Kondo impurities constitute one possible platform for their realization and topological Kondo effect (TKE) by virtue of remaining critical in the presence of perturbations, seems to be especially promising in this regard. In this paper we discuss practical steps for a realization of TKE with a relatively high Kondo temperature

T

K

. Its central feature is the so-called Majorana-Cooper box (MCB) and we argue that a particular type of iron-based topological superconductor is especially suitable for realization of TKE. Once MCB is available one needs to connect it to external metallic leads to produce TKE. A relatively high value of the Kondo temperature

T

K

is then aided by a large superconducting gap of the iron-based superconductor. We give estimates for

T

K

, for the cases of both isotropic and anisotropic exchange couplings of MCB with the leads.
The wellbore flow of supercritical CO2 in a horizontally eccentric annulus
Authors: Zhao Hu , Zhao Guangzhi , Geng Tie , Wen Dayan , Xu Anguo , Lin Yufeng , Wang Yonggen , Song Weiqiang 
Published: September 2024

Abstract
The analysis of the wellbore flow field of supercritical CO2 is the basis for its use in oil and gas reservoir development. Considering the coupling relationship between the pressure and temperature of the flow field and the physical property parameters of CO2, a calculation model of CO2 flow in the horizontal eccentric annular air was established, and the influence of displacement and annular eccentricity on the flow field characteristics was simulated and analyzed. Based on the vortex viscosity theory, the internal relationship between friction and turbulent kinetic energy and flow pressure loss is revealed through the in-depth analysis of the internal mechanism of eccentricity, displacement, inlet temperature, and outlet back pressure affecting flow pressure loss. The results show that the flow friction is more influential than turbulent kinetic energy in the variation of flow pressure loss; the loss of flow pressure increases with the increasing displacement and pressure and decreases with the temperature rise, and the flow pressure loss increases firstly and then decreases with the increasing eccentricity, and the critical eccentricity is 0.8.
Intelligent design for regularized wind farms based on genetic algorithm
Authors: Li Zhaoming , Liu Zhenqing , Liu Yuliang , Liu Shujie , Jiang Wei , Li Changjie , Jiang Zhiwei , Gu Xun , Ma Xueyun 
Published: September 2024

Abstract
In this paper, two regularized scheduling strategies for the GA algorithm are proposed. The conclusion shows that algorithms play a role in boosting power optimization. The energy output of the wind farm is improved by around 0.2%-0.5%, and the GA algorithm has the best optimization effect at a turbine distance of 160 m (4 times the turbine diameter).
Aviation six-phase compatible permanent magnet synchronous motor based on Halbach distribution
Authors: Zhang Yanhuan , Chen Ping , Zhang Heng 
Published: September 2024

Abstract
Due to the current domestic environment, the development of advanced engines, such as ultra-high-speed aircraft, has put forward strict requirements for motor structure systems. Making a comparison with the traditional motor structure, the six-phase compatible permanent magnet synchronous motor, which is based on Halbach distribution, has many other advantages obviously, such as smaller volume, a higher number of functional units contained within a unit volume is higher, and a stronger fault tolerance. This paper studies the electromagnetic design, electromagnetic analysis, and fault tolerance analysis of the six-phase compatible permanent magnet synchronous motor based on the background of the motor structure. Designs and simulations were carried out on the six-phase compatible permanent magnet synchronous motor, which was designed based on the Halbach distribution. The designed motor meets the requirements of torque and temperature, and this paper also has researched the solution of the six-phase compatible permanent magnet synchronous motor under the situations of one- or two-phase winding break. Based on the analysis of torque fluctuation in the normal state and fault state, the output power fluctuation of the six-phase compatible permanent magnet synchronous motor under different faults is obtained, which reflects the high fault tolerance performance of this motor. It provides another high-performance motor option for the engines of current high-speed aircraft.
Data node fusion method for on-site facility monitoring of power infrastructure based on wireless sensor acquisition
Authors: Jin Long , Wang Zhong , Hu Deming , Bai Yuehua , Ji Shuanmei , Liu Hao , Yang Ruifeng 
Published: September 2024

Abstract
In order to improve the accuracy of on-site facility monitoring in power infrastructure, a node fusion method based on wireless sensor collection for on-site facility monitoring in power infrastructure is proposed. This method collects monitoring data of power infrastructure on-site facilities through wireless sensors. It combines data fusion technology with the least squares integration method to remove abnormal data, such as noise in the environment of power infrastructure on-site. Using an adaptive genetic algorithm and floating search algorithm to extract the optimal feature subset of power infrastructure site monitoring data and implementing node fusion of power infrastructure site monitoring data collected by multiple sensors based on an adaptive weighted average algorithm. Through experimental verification, this method can strengthen the accuracy and reliability of monitoring systems data while reducing energy consumption and increasing data throughput. This node fusion method can effectively improve the performance of the on-site facility monitoring system for power infrastructure construction, providing strong support for the safe operation of power facilities.
Evaluation of the effect of geometric parameters on the heat transfer performance of bubble heat exchanger based on CFD
Authors: Wang Yiwei , Luan Huibao , Ruan Yingjun 
Published: September 2024

Abstract
In this paper, the influence of the structural parameters (stagger angle, weld diameter, and flow gap height) of the Bubble heat exchanger (BHE) on its heat transfer characteristics was numerically simulated by using Fluent2020R1 software. Based on the parameter sensitivity analysis, the degree of influence on Nu and f was obtained as follows: flow gap height > stagger angle > weld joint diameter. We assess the overall performance from multiple perspectives, including heat transfer, pump power consumption, and JF factor, and obtain better structural combinations for a given range. Finally, the correlation criterion equation is fitted, which fully considers the geometric structure, providing some theoretical support for the design of the bubble plate.
Simulation calculation of cyclone separation efficiency
Authors: Dong Min , Guo Jiaming , Xu Hui 
Published: September 2024

Abstract
In this paper, the pure flow field distribution of hydrocyclone and the separation efficiency of solid particles were studied by fluent software, and the separation efficiency of solid particles with different diameters was compared. The numerical simulation of the pure flow field and the separation efficiency of the cyclone hydrocyclone provides a theoretical basis for the structural optimization of the cyclone hydrocyclone, which is beneficial to improving the separation efficiency of the cyclone separator.
Nonlinear Schrödinger equation in terms of elliptic and hyperelliptic σ functions
Authors: Matsutani Shigeki 
Published: September 2024

AbstractIt is known that the elliptic function solutions of the nonlinear Schrödinger equation are reduced to the algebraic differential relation in terms of the Weierstrass sigma function,[−i∂∂t+α∂∂u]Ψ−12∂2∂u2Ψ+(Ψ∗Ψ)Ψ=12(2β+α2−3℘(v))Ψ, whereΨ(u;v,t):=eαu+iβt+ce−ζ(v)uσ(u+v)σ(u)σ(v), its dualΨ∗(u;v,t), and certain complex numbersα,βandc. In this paper, we generalize the algebraic differential relation to those of genera two and three in terms of the hyperelliptic sigma functions.
Wyoming’s produced water: Analysis and green hydrogen potential
Authors: Abdelhamid C , Latrach A , Mellal I. , Dehdouh A. , Allam L. , Rabiei M , Venugopal K. 
Published: September 2024

Abstract
Produced water, a byproduct of oil and gas extraction, poses significant environmental and logistical challenges for the energy industry. This paper conducts a thorough analysis of produced water volumes from oil and gas wells in Wyoming, examining its chemical composition and potential for hydrogen production. Utilizing data from the Wyoming Oil and Gas Conservation Commission and U.S. Geological Survey, it offers insights into production trends and influencing factors. The study employs advanced analytical techniques to identify contaminants such as heavy metals, hydrocarbons, and salinity, guiding safe management strategies. With growing interest in hydrogen as a clean energy carrier, the paper evaluates the compatibility of produced water with hydrogen production processes, considering treatment procedures and energy efficiency. By addressing these aspects, it contributes to efforts for a sustainable transition to clean energy systems. This comprehensive examination sheds light on the potential of produced water as a resource, highlighting opportunities for its utilization in hydrogen production while mitigating environmental impacts.
Transcatheter vs. surgical aortic valve replacement in patients with aortic stenosis and cardiogenic shock
Authors: Ismayl Mahmoud , Ahmed Hasaan , Goldsweig Andrew M , Eleid Mackram F , Guerrero Mayra , Rihal Charanjit S 
Published: September 2024

Abstract

Aims
Patients with aortic stenosis (AS) and cardiogenic shock (CS) are an extremely high-risk population with a poor prognosis in the absence of definitive therapy. We aimed to compare the outcomes of transcatheter aortic valve replacement (TAVR) with those of surgical aortic valve replacement (SAVR) in patients with AS–CS.

Methods and results
We queried the Nationwide Readmission Database (2016–21) to identify patients hospitalized for AS–CS who underwent isolated TAVR or SAVR. In-hospital outcomes of TAVR vs. SAVR were compared using multivariable regression and propensity-matching analyses. Ninety-day readmissions were compared using a Cox proportional hazards regression model. A total of 16 161 patients were hospitalized for AS–CS, of whom 6470 (40.0%) underwent isolated TAVR and 9691 (60.0%) underwent isolated SAVR. From 2016 through 2021, the proportion of TAVR increased from 29.5 to 46.5% and the proportion of SAVR correspondingly decreased in AS–CS (Ptrend &lt; 0.01). After adjustment for baseline characteristics, TAVR was associated with lower odds of stroke [adjusted odds ratio (aOR) 0.63, 95% confidence interval (CI) 0.47–0.84], acute kidney injury (aOR 0.80, 95% CI 0.69–0.93), and major bleeding (aOR 0.54, 95% CI 0.40–0.71) and higher odds of vascular complications (aOR 1.56, 95% CI 1.23–1.97) compared with SAVR. In-hospital mortality, myocardial infarction, permanent pacemaker placement, and 90-day all-cause and heart failure readmissions showed similar rates between TAVR and SAVR. However, hospital length of stay was shorter and total costs and non-home discharges were lower with TAVR than with SAVR.

Conclusion
This nationwide observational analysis showed that TAVR is increasingly performed in patients with AS–CS and is associated with similar rates of in-hospital mortality and 90-day readmissions but lower rates of in-hospital complications and resource utilization compared with SAVR.
Prokaryotic morphological features and maintenance activities governed by seasonal productivity conditions
Authors: Verma Ashish , Amnebrink Dennis , Lee Cheng Choo , Wai Sun Nyunt , Sandblad Linda , Pinhassi Jarone , Wikner Johan 
Published: September 2024

Abstract
Prokaryotic maintenance respiration and associated metabolic activities constitute a considerable proportion of the total respiration of carbon to CO2 in the ocean’s mixed layer. However, seasonal influences on prokaryotic maintenance activities in terms of morphological and metabolic adaptations at low (winter) and high productivity (summer) are still unclear. To address this, we examined the natural prokaryotic communities at the mesocosm scale to analyse the differences in their morphological features and gene expression at low and high maintenance respiration, experimentally manipulated with the specific growth rate. Here, we showed that morphological features including membrane blebbing, membrane vesicles, and cell‒cell connections occurred under high productivity. Metabolic adaptations associated with maintenance activities were observed under low productivity. Several Kyoto Encyclopedia of Genes and Genomes categories related to signal transduction, energy metabolism, and translational machinery supported maintenance activities under simulated winter conditions. Differential abundances of genes related to transporters, osmoregulation, nitrogen metabolism, ribosome biogenesis, and cold stress were observed. Our results demonstrate how specific growth rate in different seasons can influence resource allocation at the levels of morphological features and metabolic adaptations. This motivates further study of morphological features and their ecological role during high productivity, while investigations of metabolic adaptations during low productivity can advance our knowledge about maintenance activities.