bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparation of coal gangue ceramsite high-strength concrete and investigation of its physico-mechanical properties
Authors: Guan Hongbo , Yu Jitao , Umuhuza Kibugenza Albert Salomon , Sun Qingwei 
Published: September 2022

AbstractUsing coal gangue (CG) as a building material does not only reduce the disposal of industrial waste and promote the resource utilization of solid waste, but also solves the excessive consumption of sand and stone in construction. This study experimentally investigated calcining ceramisites from CG raw materials and the mechanical properties of CG ceramsite concrete were studied. Additionally, the physical, chemical and composition changes of CG before and after calcination were observed using scanning electron microscopy and X-ray diffraction analysis (XRD). The experimental results reveal that calcination can reduce the density, increase the strength, increase the porosity of CG, and change the microstructure and mineral composition of CG. Finally, there are great differences between coal gangue ceramsite concrete and ordinary concrete in the variation of compressive strength with time and the relationship between elastic modulus and compressive strength. In this paper, the existing formula is modified according to the experimental data.
Thermal stable properties of solid hybrid nanoparticles for mixed convection flow with slip features
Authors: Lund Liaquat Ali , Lashin Maha M. A. , Yashkun Ubaidullah , Guedri Kamel , Khan Sami Ullah , Khan M. Ijaz , Bafakeeh Omar T. , Kumam Poom 
Published: September 2022

AbstractFollowing to improved thermal impact of hybrid nanomaterials, wide range applications of such materials is observed in the thermal engineering, extrusion systems, solar energy, power generation, heat transfer devices etc. The hybrid nanofluid is a modified form of nanofluid which is beneficial for improving energy transfer efficiency. In current analysis, the solid nanoparticles aluminium ($$\phi_{{{\text{Al}}_{2} {\text{O}}_{3} }}$$

ϕ

Al
2

O
3

) and copper ($$\phi_{{{\text{Cu}}}}$$

ϕ
Cu

) have been mixed with water to produce a new hybrid nanofluid. The investigation of a steady two-dimensional mixed convection boundary layer flow of the resultant hybrid nanofluid on a vertical exponential shrunk surface in the existence of porous, magnetic, thermal radiation, velocity, and thermal slip conditions is carried out. Exponential similarity variables are adopted to transform the nonlinear partial differential equation into a system of ordinary differential equations which has been then solved by employing the shooting method in Maple software. The obtained numerical results such as coefficient of skin friction $$f^{\prime \prime } \left( 0 \right)$$

f
″

0

, heat transfer rate $$- \theta^{\prime } \left( 0 \right)$$

-

θ
′

0

, velocity $$f^{\prime } \left( \eta \right)$$

f
′

η

and temperature $$\left( {\theta \left( \eta \right)} \right)$$

θ

η

distributions are presented in the form of different graphs. The results revealed that duality exists in solution when the suction parameter $$S \ge S_{ci}$$

S
≥

S

ci

in assisting flow case. Due to non-uniqueness of solutions, a temporal stability analysis needs to be performed and the result indicates that the upper branch is stable and realizable compared to the lower branch.
Music and Speech Perception in Prelingually Deafened Young Listeners With Cochlear Implants: A Preliminary Study Using Sung Speech
Authors: Wheeler Harley J. , Hatch Debora R. , Moody-Antonio Stephanie A. , Nie Yingjiu 
Published: September 2022

Purpose:
In the context of music and speech perception, this study aimed to assess the effect of variation in one of two auditory attributes—pitch contour and timbre—on the perception of the other in prelingually deafened young cochlear implant (CI) users, and the relationship between pitch contour perception and two cognitive functions of interest.

Method:
Nine prelingually deafened CI users, aged 8.75–22.17 years, completed a melodic contour identification (MCI) task using stimuli of piano notes or sung speech with a fixed timbre (same word for each note) or a mixed timbre (different words for each note), a speech perception task identifying matrix-styled sentences naturally intonated or sung with a fixed pitch (same pitch for each word) or a mixed pitch (different pitches for each word), a forward digit span test indexing auditory short-term memory (STM), and the matrices section of the Kaufman Brief Intelligence Test–Second Edition indexing nonverbal IQ.

Results:
MCI was significantly poorer for the mixed timbre condition. Speech perception was significantly poorer for the fixed and mixed pitch conditions than for the naturally intonated condition. Auditory STM positively correlated with MCI at 2- and 3-semitone note spacings. Relative to their normal-hearing peers from a related study using the same stimuli and tasks, the CI participants showed comparable MCI at 2- or 3-semitone note spacing, and a comparable level of significant decrement in speech perception across three pitch contour conditions.

Conclusion:
Findings suggest that prelingually deafened CI users show similar trends of normal-hearing peers for the effect of variation in pitch contour or timbre on the perception of the other, and that cognitive functions may underlie these outcomes to some extent, at least for the perception of pitch contour.

Supplemental Material:

https://doi.org/10.23641/asha.21217937
Investigating Narrative Performance in Children With Developmental Language Disorder: A Systematic Review and Meta-Analysis
Authors: Winters Katherine L. , Jasso Javier , Pustejovsky James E. , Byrd Courtney T. 
Published: September 2022

Purpose:
Narrative assessment is one potentially underutilized and inconsistent method speech-language pathologists may use when considering a diagnosis of developmental language disorder (DLD). However, narration research encompasses many varied methodologies. This systematic review and meta-analysis aimed to (a) investigate how various narrative assessment types (e.g., macrostructure, microstructure, and internal state language) differentiate children with typical development (TD) from children with DLD, (b) identify specific narrative assessment measures that result in greater group differences, and (c) evaluate participant and sample characteristics that may influence performance differences.

Method:
Electronic databases (PsycINFO, ERIC, and PubMed) and ASHAWire were searched on July 30, 2019, to locate studies that reported oral narrative language measures for both DLD and TD groups between ages 4 and 12 years; studies focusing on written narration or other developmental disorders only were excluded. We extracted data related to sample participants, narrative task(s) and assessment measures, and research design. Group differences were quantified using standardized mean differences. Analyses used mixed-effects meta-regression with robust variance estimation to account for effect size dependencies.

Results:

Searches identified 37 eligible studies published between 1987 and 2019, including 382 effect sizes. Overall meta-analysis showed that children with DLD had decreased narrative performance relative to TD peers, with an overall average effect of −0.82
SD
, 95% confidence interval [−0.99, −0.66]. Effect sizes showed significant heterogeneity both between and within studies, even after accounting for effect size–, sample-, and study-level predictors. Across model specifications, grammatical accuracy (microstructure) and story grammar (macrostructure) yielded the most consistent evidence of TD–DLD group differences.

Conclusions:
Present findings suggest some narrative assessment measures yield significantly different performance between children with and without DLD. However, researchers need to improve consistency of inclusionary criteria, descriptions of sample characteristics, and reporting of correlations between measures to determine which assessment measures reliably distinguish between groups.

Supplemental Material:

https://doi.org/10.23641/asha.21200380
An outlier‐resistant approach to observer‐based security control for interval type‐2 T‐S fuzzy systems subject to deception attacks
Authors: Zhang Sunjie , He Jiawei , Yang Yi , Yan Tingli 
Published: September 2022

AbstractThis article focuses on the outlier‐resistant observer‐based controller for the interval type‐2 T‐S fuzzy discrete‐time systems with distributed delays under deception attacks. The deception attack takes place between sensor channel and observer channel. A neoteric guidance for safety performance is constructed to explain the randomly happening spoofing offensive on the control structure. The random events of parameter uncertainty and spoofing offensives are controlled via two sets of Bernoulli stochastic variables with foregone probability distributions. One outlier‐resistant observer‐based security control is constructed to induce an innovation saturation structure in order to alleviate the passive influence on the spoofing offensives about the estimation aspect. The goal of the solution is to design an outlier‐resistant observer‐based security control that can insure boundedness in estimation error while achieving the ideal level of safety. Ultimately, a quantitative value simulation sample is put forward to justify the practicality and validity of the above‐mentioned control project.
Double‐ejection micro‐cathode arc thruster applied to micro‐satellite
Authors: Tian Jia , Liu Wenzheng , Nikiforov Anton , De Geyter Nathalie , Morent Rino 
Published: September 2022

AbstractAn innovative double‐ejection micro‐cathode arc thruster (ACd‐µCAT), which consists of a cylindrical inner anode, a cylindrical outer cathode and two insulating sleeves (an inner insulating sleeve and an outer insulating sleeve), was proposed. The differences in electrical characteristics, plasma parameters and propulsion performance between the newly proposed ACd‐µCAT and a traditional μCAT were examined. Study results showed that compared to the traditional μCAT structure, by using the ACd‐µCAT, the peak value of produced thrust was increased 9.3 times, while the amplitude of the ion current and the ion‐to‐arc ratio were increased 5.4 and 5.9 times (from 1.2% to 7.1%), respectively. In addition, data from Langmuir probe experiments indicated that peak values of the directional propagation speed and density of plasma plume were increased 3.1 times and 4.2 times, respectively. Moreover, plasma plume directional ejection performance was also significantly improved. This study result will provide support for the development of a new‐generation μCAT.
GSGAN: Learning controllable geospatial images generation
Authors: Su Xingzhe , Lin Yijun , Zheng Quan , Wu Fengge , Zheng Changwen , Zhao Junsuo 
Published: September 2022

AbstractCompared with natural images, geospatial images cover larger area and have more complex image contents. There are few algorithms for generating controllable geospatial images, and their results are of low quality. In response to this problem, this paper proposes Geospatial Style Generative Adversarial Network to generate controllable and high‐quality geospatial images. Current conditional generators suffer the mode collapse problem in geospatial field. The problem is addressed via a modified mode seeking regularization term with contrastive learning theory. Besides, the discriminator network architecture is modified to process global feature information and texture information of geospatial images. Feature loss in the generator is introduced to stabilize the training process and improve generated image quality. Comprehensive experiments are conducted on UC Merced Land Use Dataset, NWPU‐RESISC45 Dataset, and AID Dataset to evaluate all compared methods. Experiment results show our method outperforms state‐of‐the‐art models. Our method not only generates high‐quality and controllable geospatial images, but also enhances the discriminator to learn better representations.
Global weighted average pooling network with multilevel feature fusion for weakly supervised brain tumor segmentation
Authors: Li Zi‐Wei , Xuan Shi‐Bin , He Xue‐Dong , Wang Li 
Published: September 2022

AbstractMedical image segmentation plays a vital role in computer‐aided diagnosis and intelligent medical treatment. It can preprocess medical images to help doctors better diagnose diseases. Class activation map (CAM) is an important technology in weakly supervised segmentation, which can achieve image segmentation without pixel‐level label training. This technology can well meet the needs of medical image segmentation. However, CAM obtaining is still unperfect due to global average pooling (GAP). GAP will cause important and non‐important regions to be given equal attention during the training process. So, CAM cannot demarcate the boundary of the target regions well. In order to solve this problem, a global weighted average pooling network fusing the grayscale information of medical images is proposed. The proposed network can solve the problem that GAP has the same concern for important regions and non‐important regions of the feature map, because the different weights can be learned for different positions of the feature map before the GAP in the proposed model. At the same time, because of the grayscale difference between the tumor area and the non‐tumor area in the brain tumor image, the low‐level grayscale information of the medical image is fused with the high‐level semantic information extracted by the network to learn the weights. This operation gives full play to the advantages of feature maps of different levels. The experiment results on the popular medical image dataset BraTS2019 show that the proposed method can well improve the performance of CAM and help CAM fit the boundaries of objects. Meanwhile, in the DSC evaluation, the proposed method achieves a score of 64.1%, which is a 4.6% improvement over a recent research method.
Decentralised CAVs based on micro–macro flow control (MiMaFC) strategy for multi‐intersection traffic network
Authors: Zhu Zhengze , Adouane Lounis , Quilliot Alain 
Published: September 2022

AbstractAdvanced intersection control systems have been created to alleviate traffic congestion. CAVs may benefit from cooperative navigation in order to address the regular traffic issue. Due to whole uncertainty in transportation network, the conventional motion planning for local areas may lead to undesirable effects in long run. In prior works, a micro–macro flow control (MiMaFC) strategy is used to investigate CAVs' navigation at unsignalised intersections by taking flow velocity and vehicle passing priority into account. To get a better understanding of motion control and how it can be utilised to impact traffic flow behaviour, this study expands the intersection navigation protocol and develops a velocity planning methodology based on the proposed MiMaFC technology. Correspondingly, cooperative navigation protocol used in the addressed architecture is specifically developed for CAVs that continually cross intersections. Further, spatio‐temporal velocity adaption mechanism is presented in this work. Depending on the vehicles' location and speed, CAVs might use either the MiMaFC‐based or self‐interested velocity strategy. Simulation results, which include a congested traffic network, are shown to demonstrate the proposed method's potential. The study found that the suggested motion planning framework may increase urban network mobility over a non‐supervised CAVs system.
Simplified model predictive current control based on fast vector selection method in a VIENNA rectifier
Authors: Song Weizhang , Yang Yang , Jiao Zhu , Xu Shaojie , Dang Chaoliang , Wheeler Pat 
Published: September 2022

AbstractThis paper presents a simplified finite‐control‐set model predictive control (S‐FCS‐MPC) based on fast vector selection method in a three‐level VIENNA rectifier. This method features a high‐power factor, a low input current THD as a well‐controlled DC‐link voltage with fewer redundant vectors and lower computational load. Moreover, the converter with the proposed control technique exhibits a faster dynamic response in terms of input current and DC‐link voltage compared with conventional finite‐control‐set model predictive control (C‐FCS‐MPC). In addition, the average switching frequency can be effectively reduced due to fewer switching times in a subset sector using the proposed method, which means fewer switching losses. Finally, the operation principle of the proposed algorithm has been analysed and an execution time comparison between S‐FCS‐MPC and C‐FCS‐M has been undertaken. The effectiveness of the proposed control technique has been validated using both simulation and experimental results.
A post‐forecast weighing algorithm to improve wind power forecasting capabilities
Authors: Pijnenburg Petrus , Cao Bo , Chang Liuchen , Kilpatrick Ryan , Levy Thomas 
Published: September 2022

AbstractWind power generation has had a profound impact on both the green power and traditional power sectors. As a result, wind power forecasting plays an immense role in effectively predicting and providing wind power generated for effective power dispatching for system operators. However, wind power forecasting is a challenging topic with accuracy issues between the predicted power and actual power generation at the point of common coupling. Furthermore, due to the variation of wind, effective dispatching through the utilisation of wind power production forecasting becomes a challenge. This issue is further compounded by the vast amount of data required to train and verify of these forecasting algorithms. This paper presents a fast acting post forecast weighing algorithm designed to evaluate the forecasted power output of a previously developed wind power forecasting package. The developed method is designed to gauge and improve the estimated output forecaster's approach in order to observe performance changes in the algorithm while using minimal data without changing the internal workings of the evaluated forecasting algorithm.
Performance dynamics improvement of a hybrid wind/fuel cell/battery system for standalone operation
Authors: Mossa Mahmoud A. , Echeikh Hamdi , Quynh Nguyen Vu , Bianchi Nicola 
Published: September 2022

AbstractThe present study is concerned with improving the dynamics of a hybrid generation system utilized for feeding an isolated load. The system under study consists of a wind‐driven synchronous generator with permanent magnet type, a fuel cell stack and a storage battery layout used to enhance the system reliability. A detailed design for all system parts is introduced. A new formulated predictive controller is utilized to enhance the performance of synchronous generator in comparison with traditional controllers. The wind turbine power system is designed and adopted a maximum power point tracking (MPPT) strategy to optimally exploit the captured wind energy. An energy management procedure is also considered to balance the power‐sharing between different system units. Extensive performance evaluation analysis is introduced in order to validate the capability of the designed controllers of the generator and fuel cell and check the feasibility of the energy management strategy (EMS) as well. The obtained results approve the capability of the proposed controller with the synchronous generator in achieving better dynamics compared with traditional schemes and confirm the validity of the fuel cell control system in managing the stack power. The results also approve the effectiveness of the designed EMS in preserving a balanced power flow.
Zystische Halsläsionen im Schnittbild
Authors: Vogl Thomas J. , Helal Rania 
Published: September 2022

ZusammenfassungZystische Läsionen sind in der Halsbildgebung relativ häufig. Es kommen verschiedene angeborene oder erworbene Veränderungen als Ursache infrage, die primär mit Ultraschall, aber auch mit
CT und MRT und ggf. auch bioptisch analysiert werden sollten, um die adäquate Therapie einleiten zu können. In diesem Beitrag werden die bildgebenden Kriterien dieser zystischen Läsionen
dargestellt.
Homoeopathy in Obstinate Non-Segmental Vitiligo: An Evidence-Based Report of Two Cases
Authors: Purkait Rajib , Debnath Dhiraj , Bhattacharjee Baidurjya , Choubey Gurudev 
Published: September 2022

AbstractBackground Vitiligo is an acquired de-pigmented dermatological disorder of great cosmetic importance, which negatively affects the quality of life (QoL). Available treatment options are mostly invasive, requiring maintenance therapy to prevent relapses and having many side effects.Cases Here we present two similar cases of obstinate non-segmental vitiligo, reported with non-itchy de-pigmented macules around both eyes. The subjective assessment of the patient as well as the QoL was evaluated by using the outcome related to impact on daily living (ORIDL) and vitiligo-specific quality of life (VitiQoL) respectively. Photographs were taken as objective evidence. Finally, Modified Naranjo Criteria for Homeopathy (MONARCH) was used to evaluate the possible causal relationship between the homoeopathic intervention and clinical improvement.Conclusions The cases were markedly improved on the ORIDL scale (+3) as per the patient's perspective. QoL was also improved as revealed on the VitiQoL score. Photographs were evident with the improvement. MONARCH score (‘ + 9’ in both cases) established the likelihood of improvement was attributable to homoeopathy. In both cases, indicated similimum has produced significant evidence in the treatment of vitiligo.
How the Kremlin circumvented EU sanctions on Russian state media in the first weeks of the illegal invasion of Ukraine
Authors: Pamment James 
Published: September 2022

AbstractThis forum article is about the EU’s sanctions levelled at Russian state media, and the steps the Kremlin took to ensure its war propaganda continued to reach Europe. The article examines Kremlin efforts to coordinate cross-platform influence operations on Telegram, as well as the role of digital diplomacy accounts in partially replacing state media reach. This leads to a discussion on the role of digital diplomacy in war propaganda and some of the consequences for the future of this research field.
Functionalized silica nanoparticles coupled with nanoporous membrane for efficient ionic current rectification
Authors: Mitchell Juan , Pintro Chris , Nolan Katie , Davenport-Munoz Maurice , Spitzer Kyle , Yu Rachel , Wu Ji 
Published: September 2022

Abstract
In the last few decades, tremendous effort has been dedicated to mimicking the efficient ionic current rectification (ICR) of biological nanopores. Nanoporous membranes and singular nanopores with ICR functionality have been fabricated using advanced, yet costly technologies. We herein demonstrate that a simple, novel, and robust ICR platform can be constructed using 80 nm silica nanoparticles and a piece of 15 nm track-etched polycarbonate membrane. Efficient ICR can be obtained when voltages of different polarities are applied across the membrane, due to the asymmetric electrophoretic migration of silica nanoparticles whose surfaces are modified with different functional groups. The effect of pore size, ionic strength, pH, voltage magnitude, and density of silica nanoparticles on the efficiency of the ICR system has been systematically investigated in this report. Our results clearly show that smaller pore, lower ionic strength, appropriate pH value, higher electrical field strength, lower density of silica nanoparticles can generally enhance the efficiency of the ICR system. The principles of this new ICR system may find many potential applications in controllable drug delivery, energy storage and water purification.