bluuebunny/crossref_metadata_2025_split huggingface dataset:
Individual Predictors of Language Treatment Response in Children With Developmental Language Disorder: A Systematic Review
Authors: Ebert Kerry Danahy , Lee HaeJi 
Published: July 2024

Purpose:
Treatment response is the degree to which an individual benefits from a treatment. This systematic review sought to identify and synthesize research evidence regarding individual characteristics that predict language treatment response among children with developmental language disorder (DLD).

Method:
To be eligible for inclusion, articles needed to report results of an oral language treatment program in a group of children aged 4–10 years with identified DLD and also include a quantitative analysis of the relation between one or more pretreatment child characteristics and the outcome of language treatment. Seven databases (Cumulated Index to Nursing and Allied Health Literature, Dissertations and Theses Global, Education Resources Information Center, Linguistics and Language Behavior Abstracts, PsycINFO, Medline, and Web of Science) were searched for articles in June and July 2021, with search updates conducted in May 2023. Studies were categorized by the type of treatment provided, and results were synthesized qualitatively.

Results:

The review included 31 studies, 1,551 participants with DLD, and over 300 statistical tests of a predictor's effect on language treatment response. Most studies (
n
= 21) included only monolingual speakers of English, with five studies including bilinguals and five including monolingual speakers of non-English languages. Language treatments targeted word learning in controlled or clinical conditions, grammatical learning in controlled or clinical conditions, or multiple language targets in clinical conditions. Predictors of treatment response are summarized across four categories: cognitive, demographic, pretreatment language levels, and other.

Conclusions:
There were relatively few significant tests of the predictors of language treatment response. A central limitation of the evidence is that most included studies were designed to consider language treatment efficacy, not predictors of treatment response. Increasing research attention to the question of predictors of language treatment response in children with DLD is needed to enhance treatment and optimize outcomes for individual children.

Supplemental Material:

https://doi.org/10.23641/asha.26170006
Data‐sharing strategies in medical consortium based on master‐slave multichain and federated learning
Authors: Kang Bohan , Zhang Ning , Zhu Jianming 
Published: July 2024

AbstractIn order to encourage participants to actively join the data sharing and to meet the distributed structure and privacy requirement in the medical consortium, the data‐sharing strategy based on the master‐slave multichain is presented in this paper. According to the different computing resources and the responsibility of participants, the adaptive Proof of Liveness and Quality consensus and hierarchical federated learning algorithm for master‐slave multichain are proposed. Meanwhile, by quantifying the utility function and the optimization constraint of participants, this paper designs the cooperative incentive mechanism of medical consortium in multi‐leader Stackelberg game to solve the optimal decision and pricing selection of the master‐slave multichain. The simulation experiments show that the proposed methods can decrease the training loss and improve the parameter accuracy by MedMINST datasets, as well as reach the optimal equilibrium in selection and pricing strategy in the system, guaranteeing the fairness of profit distribution for participants in master‐slave multichain.
Efficient knowledge distillation for hybrid models: A vision transformer‐convolutional neural network to convolutional neural network approach for classifying remote sensing images
Authors: Song Huaxiang , Yuan Yuxuan , Ouyang Zhiwei , Yang Yu , Xiang Hui 
Published: July 2024

AbstractIn various fields, knowledge distillation (KD) techniques that combine vision transformers (ViTs) and convolutional neural networks (CNNs) as a hybrid teacher have shown remarkable results in classification. However, in the realm of remote sensing images (RSIs), existing KD research studies are not only scarce but also lack competitiveness. This issue significantly impedes the deployment of the notable advantages of ViTs and CNNs. To tackle this, the authors introduce a novel hybrid‐model KD approach named HMKD‐Net, which comprises a CNN‐ViT ensemble teacher and a CNN student. Contrary to popular opinion, the authors posit that the sparsity in RSI data distribution limits the effectiveness and efficiency of hybrid‐model knowledge transfer. As a solution, a simple yet innovative method to handle variances during the KD phase is suggested, leading to substantial enhancements in the effectiveness and efficiency of hybrid knowledge transfer. The authors assessed the performance of HMKD‐Net on three RSI datasets. The findings indicate that HMKD‐Net significantly outperforms other cutting‐edge methods while maintaining a significantly smaller size. Specifically, HMKD‐Net exceeds other KD‐based methods with a maximum accuracy improvement of 22.8% across various datasets. As ablation experiments indicated, HMKD‐Net has cut down on time expenses by about 80% in the KD process. This research study validates that the hybrid‐model KD technique can be more effective and efficient if the data distribution sparsity in RSIs is well handled.
Fixed‐time prescribed performance control method for nonlinear systems with unknown time‐varying parameters
Authors: Sun Wei , Yuan Junhao , Yang Xiaoqin 
Published: July 2024

AbstractIn this study, it is considered that the question of adaptive tracking control of nonlinear systems containing unknown time‐varying parameters. To optimize the control effect, a fixed‐time control strategy is adopted, in which the upper bound of the settling time is connected with the designed parameters, but not to the initial conditions. In the design, the unknown time‐varying parameters are treated as the multiplication of known and unknown vectors, and the adaptive laws are constructed to estimate the mean value of the components in the unknown ones, which availably solve the difficulty of unknown control gains. Besides, the application of command filtered technique, which combined with the compensation signals containing the adaptive parameters, effectively avoids the “complexity explosion” problem. Further, Lyapunov stability theory verifies that the tracking error can always be kept within the boundaries of the performance functions, and converges to a designated neighbourhood of the origin within a fixed time, beyond that all signals of the closed‐loop system are bounded. Finally, the simulation results prove the effectiveness of the proposed control scheme.
WNet: A dual‐encoded multi‐human parsing network
Authors: Hosen Md Imran , Aydin Tarkan , Islam Md Baharul 
Published: July 2024

AbstractIn recent years, multi‐human parsing has become a focal point in research, yet prevailing methods often rely on intermediate stages and lacking pixel‐level analysis. Moreover, their high computational demands limit real‐world efficiency. To address these challenges and enable real‐time performance, low‐latency end‐to‐end network is proposed. This approach leverages vision transformer and convolutional neural network in a dual‐encoded network, featuring a lightweight Transformer‐based vision encoder) and a convolution encoder based on Darknet. This combination adeptly captures long‐range dependencies and spatial relationships. Incorporating a fuse block enables the seamless merging of features from the encoders. Residual connections in the decoder design amplify information flow. Experimental validation on crowd instance‐level human parsing and look into person datasets showcases the WNet's effectiveness, achieving high‐speed multi‐human parsing at 26.7 frames per second. Ablation studies further underscore WNet's capabilities, emphasizing its efficiency and accuracy in complex multi‐human parsing tasks.
Gap setting control strategy for connected and automated vehicles in freeway lane‐drop bottlenecks
Authors: Chung Sungyong , Ka Dongju , Kim Yongju , Lee Chungwon 
Published: July 2024

AbstractCommercial automated vehicles equipped with adaptive cruise control (ACC) systems offer multiple gap settings that determine their longitudinal behaviour. This study introduces two novel strategies—inflow control and combined control—that leverage the distinct driving behaviours associated with different gap settings in connected and automated vehicles. These strategies aim to enhance traffic efficiency in freeway lane‐drop bottlenecks, where capacity drops are common, by maintaining bottleneck occupancy at the target level using a proportional‐integral‐derivative controller. Simulation experiments were conducted using VISSIM to validate the proposed strategies. The results from a hypothetical lane‐drop bottleneck indicate that the proposed strategies enhanced both efficiency and safety across all simulated demand levels, with the combined control outperforming inflow control by redistributing the relative positions of vehicles before the mandatory lane changes using a new gap setting. Moreover, the proposed strategies were effective under all the simulated market penetration rates (MPRs), where better performances were demonstrated at higher MPRs. An evaluation of a calibrated real‐world network further demonstrated the potential of recommending gap settings to drivers of ACC‐equipped vehicles using variable message signs to enhance freeway efficiency in the near future.
Two‐stage power control method of rotary power flow controller for flexible interconnection of distribution network
Authors: Shao Chen , Yan Xiangwu , Siddique Abubakar , Aslam Waseem , Jia Jiaoxin , Xie Wenqiang , Alqahtani Salman A. , Alamri Atif M. 
Published: July 2024

AbstractWith the rapid development of active distribution network construction, flexible interconnected distribution networks have become the mainstream power supply structure. To ensure the safe power supply of the distribution system, power control methods suitable for flexible interconnected distribution networks should be further studied. The electromagnetic rotating power flow controller (RPFC) is a feasible solution for power control in distribution networks. This paper first constructs an RPFC steady‐state power decoupling control model based on instantaneous reactive power theory. However, it is difficult to achieve stable power control due to the difficulty of coordinated control of the rotor position angle of the rotating phase transfer transformer. On this basis, the servo motor's two‐stage speed control and speed coordination scheme are used to achieve stable and error‐free control of the two rotor angles, meeting the power regulation requirements of high precision, high reliability, and fast response. A 380 V/40 kVA RPFC prototype and experimental platform were developed, and power regulation and power equalization experiments were conducted. The results indicate that the proposed control scheme can regulate at the second level. Control accuracy is maintained within 4%, showing good dynamic and static performance. This meets the requirements for flexible closed‐loop operation in the interconnected distribution network.
Evaluation of Regional Wall Motion Abnormalities with Echocardiography in the Emergency Department
Authors: Karancı Yusuf , Bedel Cihan , Selvi Fatih , Zortuk Ökkeş 
Published: July 2024

Abstract
Introduction Acute coronary syndrome (ACS) is a major cardiovascular disease, particularly in cases where standard electrocardiogram findings are equivocal. Focused cardiac ultrasound (FOCUS) has become increasingly accepted as a tool in emergency medicine. The primary objective of this study was to evaluate the accuracy, sensitivity, and specificity of FOCUS in detecting regional wall motion abnormalities (RWMA) compared with standard echocardiography (ECHO).
Materials and Methods This prospective observational study included 91 patients who presented to the emergency department between June 1, 2023, and November 30, 2023. Senior emergency physicians performed FOCUS examinations, which were performed by an emergency assistant or specialist who works in the emergency department, has at least 2 years of experience in ultrasonography (USG), and has basic USG and advanced USG certificates. The examinations assessed the presence of RWMA in each patient's left ventricle.
Results All 91 patients were included in the study for comparison with formal ECHO. The mean age was 58, and 32% of patients were female. Compared with the criterion standard of formal ECHO, the sensitivity of FOCUS performed by emergency physicians for detecting RWMA was 85% (95% confidence interval [CI], 73–92), the specificity was 53% (95% CI, 36–69), and the overall accuracy was 74% (95% CI, 64–82).
Conclusion Our study demonstrates the potential utility of FOCUS performed by emergency physicians in detecting RWMA in patients with high suspicion of ACS.
Multivariate Analysis of Factors Associated with Feeding Mother's Own Milk at Discharge in Preterm Infants: A Retrospective Cohort Study
Authors: Reis Jordan D. , Sánchez-Rosado Mariela , Mathai Daizy , Kiefaber Isabelle , Brown L Steven , Lair Cheryl S. , Nelson David B. , Burchfield Patti , Brion Luc P. 
Published: July 2024

Objective This study aimed to develop a predictive model of feeding mother's own milk (MOM) at discharge using social determinants of health (SDOH), maternal and neonatal factors after deliveries at <33 weeks of gestational age (GA), or birth weight <1,500 g.
Study Design Secondary analysis of a retrospective cohort in an inner-city hospital before (Epoch-1, 2018–2019) and after (Epoch-2, 2020–2021) implementing a donor human milk (DHM) program.
Results Among 986 neonates, 495 were born in Epoch-1 (320 Hispanic White, 142 Non-Hispanic Black, and 33 Other) and 491 in Epoch-2 (327, 137, and 27, respectively). Feeding any MOM was less frequent in infants of non-Hispanic Black mothers than in those of Hispanic mothers (p < 0.05) but did not change with epoch (p = 0.46). Among infants who received any MOM, continued feeding MOM to the time of discharge was less frequent in infants of non-Hispanic Black mothers versus those of Hispanic mothers, 94/237 (40%) versus 339/595 (57%; p < 0.05), respectively. In multivariate analysis including SDOH and maternal variables, the odds of feeding MOM at discharge were lower with SDOH including neighborhoods with higher poverty levels, multiparity, substance use disorder, non-Hispanic Black versus Hispanic and young maternal age and increased with GA but did not change after implementing DHM. The predictive model including SDOH, maternal and early neonatal variables had good discrimination (area under the curve 0.85) and calibration and was internally validated. It showed the odds of feeding MOM at discharge were lower in infants of non-Hispanic Black mothers and with feeding DHM, higher need for respiratory support and later initiation of feeding MOM.
Conclusion Feeding MOM at discharge was associated with SDOH, and maternal and neonatal factors but did not change after implementing DHM. Disparity in feeding MOM at discharge was explained by less frequent initiation and shorter duration of feeding MOM but not by later initiation of feeding MOM.
Key Points
A Comparison of Commercially Available Digital Microscopes for Their Use in Bench-Model Simulation of Microsurgery
Authors: Awad Laura , Abdi Zakee , Langridge Benjamin J. , Karoshi Akul , Butler Peter E. M. 
Published: July 2024

Abstract
Background Surgical education has seen a transition in the delivery of training, with increased use of online platforms to facilitate remote learning. Simulation training can increase access to education and reduce cost implications, while reducing patient risk. This study aims to compare commercially available digital microscopes, alongside a standard binocular surgical microscope, and determine whether they can be used as an alternative tool for remote microsurgery simulation.
Methods Data were collected for a total of four microscopes, including three commercially available digital microscopes, smartphone, and a binocular table microscope. Product characteristics were collated, and a subjective assessment was conducted using an 11-criteria questionnaire, graded with a 5-point scale. Results of digital microscopes were compared with the table binocular microscope.The Kruskal–Wallis test was used to compare the performance of digital microscopes to the standard binocular microscope
Results The questionnaire was completed by 31 participants: two consultants, nine surgical registrars, fourteen junior trainees, and six medical students. Digital microscopes were found to be significantly more affordable and convenient for trainees; however, the cost of the smartphone was significant. Overall, the Pancellant Digital Microscope performed the poorest, with trainees commenting on its unsuitability for surgical practice; the Plugable USB Digital Microscope (PLDM) was rated overall most like the binocular table microscope. The Depth of field was shallow in all digital microscopes.
Conclusion With the increasing role of remote learning and simulation training in surgical education, the PLDM can provide a cheaper, more accessible alternative for junior trainees, in their pursuit of microsurgical skill acquisition.
Establishing Expectancy Values for Fibrin Monomer in Uncomplicated Pregnancy
Authors: Seidel Holger , Duncklenberg Melina , Hertfelder Hans-Jörg , Gnida Christine , Westhofen Philipp , Stremlau Anna , Feriel Joffrey , Depasse François , McRae Hannah L. , Kruppenbacher Johannes Philipp 
Published: July 2024

Background During pregnancy, a physiological increase of molecular activation markers (MAM) of hemostasis such as prothrombin fragments 1 + 2, thrombin–antithrombin complex, and D-dimers (DD) occurs. Therefore, monitoring MAM levels during pregnancy to evaluate the risk of venous thromboembolism (VTE) may be unreliable; nevertheless, DD analysis in pregnancy is widely performed. In contrast to DD, fibrin monomer (FM) levels have been reported to remain stable during pregnancy.
Objectives The main aim of this study was to define the expected range for FM levels in pregnant outpatients. In addition, we examined the impact of the individual VTE risk, as calculated by the pregnancy risk score of the Royal College of Obstetricians and Gynaecologists (RCOG), as well as that of antithrombotic treatment on FM levels.
Methods A total of 342 pregnant women seen at our hemostasis unit were included throughout 350 pregnancies in 899 samples.
Results Low-risk thrombophilia, but not the RCOG score itself, was found to influence all MAM levels, whereas antithrombotic treatment had only an impact on DD. For FM, a reference range could be calculated irrespective of the pregnancy term, in contrast to other MAMs, which fluctuated throughout pregnancy.
Conclusions Our findings suggest a stronger impact of inherited thrombophilia on hemostasis activity during pregnancy as compared with acquired or other predisposing thrombophilic risk factors. FM levels showed a marginal increase during pregnancy in contrast to other MAM and remain a potential candidate to improve the laboratory assessment of VTE risk during pregnancy. Further prospective studies in pregnant patients with suspicion of VTE are needed.
Ethical leadership, internal job satisfaction and OCB: the moderating role of leader empathy in emerging industries
Authors: Li Qin 
Published: July 2024

AbstractLeadership with ethical values can generally elicit high levels of employee input behavior. This is particularly important in strategic emerging industries, where job satisfaction among research and development (R&D) personnel plays a crucial role as a primary driver of innovation. While scholars have emphasized the significance of internal work value orientation in recent years, the previous literature has mainly focused on leadership and employee behavior, and few studies have explored spontaneous organizational citizenship behavior (OCB). Therefore, this study seeks to investigate the correlation between ethical leadership (EL) and OCB and to consider the moderating role of leader empathy (LE) as well as the mediating role of internal job satisfaction (IJS). The data for this research were collected from 248 R&D personnel employed in companies within China’s emerging industry sector. The analysis was conducted using partial least squares path modeling, and the moderating effect was examined using Hayes’ PROCESS macro. The results validate the idea that IJS serves as a positive mediator of the relationship between EL and OCB. Furthermore, LE plays a significant moderating role in the relationship between IJS and OCB.
Efficient all-electron hybrid density functionals for atomistic simulations beyond 10 000 atoms
Authors: Kokott Sebastian , Merz Florian , Yao Yi , Carbogno Christian , Rossi Mariana , Havu Ville , Rampp Markus , Scheffler Matthias , Blum Volker 
Published: July 2024

Hybrid density functional approximations (DFAs) offer compelling accuracy for ab initio electronic-structure simulations of molecules, nanosystems, and bulk materials, addressing some deficiencies of computationally cheaper, frequently used semilocal DFAs. However, the computational bottleneck of hybrid DFAs is the evaluation of the non-local exact exchange contribution, which is the limiting factor for the application of the method for large-scale simulations. In this work, we present a drastically optimized resolution-of-identity-based real-space implementation of the exact exchange evaluation for both non-periodic and periodic boundary conditions in the all-electron code FHI-aims, targeting high-performance central processing unit (CPU) compute clusters. The introduction of several new refined message passing interface (MPI) parallelization layers and shared memory arrays according to the MPI-3 standard were the key components of the optimization. We demonstrate significant improvements of memory and performance efficiency, scalability, and workload distribution, extending the reach of hybrid DFAs to simulation sizes beyond ten thousand atoms. In addition, we also compare the runtime performance of the PBE, HSE06, and PBE0 functionals. As a necessary byproduct of this work, other code parts in FHI-aims have been optimized as well, e.g., the computation of the Hartree potential and the evaluation of the force and stress components. We benchmark the performance and scaling of the hybrid DFA-based simulations for a broad range of chemical systems, including hybrid organic–inorganic perovskites, organic crystals, and ice crystals with up to 30 576 atoms (101 920 electrons described by 244 608 basis functions).