bluuebunny/crossref_metadata_2025_split huggingface dataset:
Supporting Well-Being in Gender-Diverse People: A Tutorial for Implementing Conceptual and Practical Shifts Toward Culturally Responsive, Person-Centered Care in Speech-Language Pathology
Authors: Azul David , Hancock Adrienne B. , Lundberg Tove , Nygren Ulrika , Dhejne Cecilia 
Published: May 2022

Purpose:
Gender dysphoria is commonly conceptualized as a mental disorder in gender-diverse people who do not identify with the gender assigned to them at birth. Direct support for well-being tends to be delegated to the field of mental health (MH), whereas speech-language pathology (SLP) practice is charged with modifying gender-diverse people's voice and communication in the belief that well-being will improve as a byproduct. However, with the introduction of the minority stress model, gender dysphoria is now understood as the result of sociocultural processes of stigmatization, pathologization, coping, and resilience, and it is to be addressed by all professions providing transgender health services. The purposes of this tutorial are to examine practices in SLP in light of the current conceptualization of gender dysphoria and guide speech-language pathologists in their role in supporting the well-being of gender-diverse people.

Method:
We reviewed the SLP and MH literature in the topic area to compare the two disciplines' conceptualizations and approaches to professional support for gender-diverse people.

Results:
We propose a transdisciplinary, person-centered, and culturally responsive approach to SLP practice that directly attends to minority stress, microaggressions, coping skills, and resilience factors.

Conclusions:
It is not sufficient for speech-language pathologists to delegate support for well-being in gender-diverse people to MH practitioners. Rather, speech-language pathologists need to be proactive in taking responsibility for supporting their clients' well-being based on each individual clinician's knowledge, skills, and capacity to do so. We recommend addressing barriers and facilitators of gender-diverse people's well-being both within SLP as a professional culture and by adapting the clinician's own professional practice.
Real‐time driving style classification based on short‐term observations
Authors: Zheng Xinhu , Yang Pengtao , Duan Dongliang , Cheng Xiang , Yang Liuqing 
Published: May 2022

AbstractVehicle behaviour prediction provides important information for decision‐making in modern intelligent transportation systems. People with different driving styles have considerably different driving behaviours and hence exhibit different behaviour tendency. However, most existing prediction methods do not consider the different tendencies in driving styles and apply the same model to all vehicles. Furthermore, most of the existing driver classification methods rely on offline learning that requires a long observation of driving history and hence are not suitable for real‐time driving behaviour analysis. To facilitate personalised models that can potentially improve vehicle behaviour prediction, the authors propose an algorithm that classifies drivers into different driving styles. The algorithm only requires data from a short observation window and it is more applicable for real‐time online applications compared with existing methods that require a long term observation. Experiment results demonstrate that the proposed algorithm can achieve consistent classification results and provide intuitive interpretation and statistical characteristics of different driving styles, which can be further used for vehicle behaviour prediction.
Minimal‐time complex consensus for multi‐agent systems with time delay
Authors: Zou Chao , Yu Li , Yang Simon , Ou Linlin 
Published: May 2022

AbstractThis paper studies the minimum time consensus problem for discrete‐time multi‐agent systems with complex Laplacian delay networks such that each agent can find its complex consensus value in a minimum number of steps using its local observations. The stability analysis is first provided and the convergence condition is derived for complex weighted networks with time delays. Specifically, the delayed multi‐agent system is modeled by employing the augmented graph representation. Via adding virtual agents in the augmented systems, the complex consensus is obtained in the networks with bounded time delay if the communication topology digraph of the system has a spanning tree. A decentralized algorithm is proposed for the minimal‐time computation of complex consensus based on the information from the robot itself without relying on the external environment. The algorithm hinges on the minimal polynomial of the matrix concerning the augmented graph. Furthermore, the rearrangement of the virtual agents in the augmented system provides an upper bound for the number of agents required to compute the consensus value. Simulation examples demonstrate the effectiveness of our results. The advantage of this approach is that it can be easily deployed on a group of agents to rapidly achieve a complex consensus setting within any delayed networks.
Ghost shuffle lightweight pose network with effective feature representation and learning for human pose estimation
Authors: Yang Senquan , Wen Jiajun , Fan Junjun 
Published: May 2022

AbstractDespite their success, existing human pose estimation approaches mostly have complex architectures, high cost, and lack of lightweight modules. To address this problem, this paper proposes a Ghost Shuffle Lightweight Pose Network (GSLPN) with a more lightweight and efficient network architecture than the popular Lightweight Pose Network. First, in order to condense the scale of the network while maintaining its performance, we stack two lightweight modules, depthwise convolution and the Ghost module, to build our initial prototype bottleneck. Then, we impose a channel shuffle operation on the prototype bottleneck to shuffle the sequence of the feature maps for constructing Ghost Shuffle Bottleneck (Ghost Shuffle Bottleneck) with effective feature representation so as to develop a GSLPN. Second, a lightweight, efficient parallel attention mechanism, Lightweight Pose Parallel Attention, is proposed to improve keypoint locating accuracy. An experiment validating the proposed method showed that GSLPN achieved competitive performance with a smaller model size and less computational complexity than state‐of‐the‐art methods, indicating that the GSLPN is a superior approach for human pose estimation.
Stability enhancement method for grid‐connected inverters under weak grid: An improved feedforward control considering phase‐locked loop
Authors: Liu Xinrui , Sun Haonan , Wang Rui , Sun Qiuye , Zhang Li , Wang Peng 
Published: May 2022

AbstractAlthough the voltage feedforward control based on the point of common coupling (PCC) has been widely studied in the grid‐connected inverters to suppress the harmonics in the grid current, harmonic instability still occurs when the PCC voltage contains a series of background harmonics under weak grid condition. To this end, this paper applies the grid voltage sensed by phasor measurement units instead of the PCC voltage for feedforward. Meanwhile, considering that coupling between the phase‐locked loop (PLL) and the grid impedance would cause instability under weak grid condition, a novel compensation term is introduced to eliminate the negative influence of PLL. In addition, a method to improve the transient response of the system is also proposed so that the cut‐off frequency does not change with the impedance of the grid. By analysing the output impedance of the system, it can be proved that the strategy proposed can effectively improve the stability of the system. The experimental results indicate that the harmonics in the grid current are obviously reduced and the dynamic performance of the system is improved, which verifies the analysis.
A hybrid method of detecting flame from video stream
Authors: Dou Zengfa , Ma Xiaoke , Xie Xianghua , Liu Hui , Guo Chubing 
Published: May 2022

AbstractIn this paper, a method of detecting flame from video stream is proposed exploiting the characteristics of the disordered movement, rapid deformation and intense colour of the flame. Firstly, the frame difference between video frame and background frame is calculated to obtain the main part of the moving object, and the difference between frames is calculated frame by frame in time series to obtain the deformation part of the moving object, and then the sum of cumulative difference between frames and the background difference between frames are added to generate a binary image containing the moving object and the deformed part. Secondly, the binary image is morphologically opened, and rectangular segmentation is carried out to obtain multiple suspicious flame regions. Finally, in the light of the intense colour of the flame, the corresponding area is extracted from the original picture by using the segmentation rectangle, and the colour statistics of the area are carried out to further judge whether there is a burning flame in the area. The experimental results show that the algorithm can accurately detect the burning area of flame in the real scene and eliminate the light interference and the movement interference.
Speed behaviour of right‐turn drivers at signalized intersections in China
Authors: Yuan Tian , Zhao Xuan , Liu Rui , Zhu Xichan , Wang Shu , Yu Qiang 
Published: May 2022

AbstractEnsuring human‐like driving performance is fundamental to the widespread adoption and acceptance of intelligent driving systems. The speed behaviour of right‐turn drivers at signalized intersections was studied to improve the human‐like driving capability. The study was conducted using natural driving data and 545 data for drivers turning right at signalized intersections were extracted. YOLOv4 was used to identify the different types of road users. A one‐way ANOVA was used to study the influence of the scene complexity, number of lanes, and intersection shape on the speed selection behaviour. Linear regression and binary logistic regression analyses were used to study the influence of road users, number of lanes, intersection shape, and vehicle motion state on the speed control behaviour. The main results indicate the following: (1) Drivers drove slower when there were more traffic participants or fewer lanes. (2) The intersection shape did not have any effect on the speed behaviour of right‐turn drivers, either speed selection behaviour or speed control behaviour. (3) The reaction distance was affected only by the approach speed in this study; the greater the speed, the longer the reaction distance. (4) In addition to the vehicle motion state, external environmental factors also play a critical role in the braking characteristics, that is, pedestrians, cyclists, lateral traffic, and number of lanes after the turn. (5) The driver's intention to brake after entering the intersection stemmed from road users who were in collision conflict with the host vehicle and fewer lanes after the turn, rather than the speed at the stop line. This research has a guiding significance for the design of human‐like driving of right‐turn driving assistance systems. The target classification method and the measurement method of the driving environment complexity also help improve the human‐like perception of the right‐turn driving assistance system.
Efficient imaging method for multireceiver SAS
Authors: Zhang Xuebo , Yang Peixuan , Feng Xiao , Sun Haixin 
Published: May 2022

AbstractWith the Loffeld's bistatic formula, the point target reference spectrum (PTRS) of multireceiver synthetic aperture sonar (SAS) can be decomposed into the quasi monostatic term and bistatic deformation (BD) term. The former term is analogous to the monostatic SAS PTRS while the latter one describes the bistatic phase introduced by the bistatic displacement between the transmitter and receiver. The multireceiver SAS echo signal can be transformed into monostatic SAS equivalent data after correcting the BD term. Based on the range sub‐block processing method, this data transformation is conducted by using the preprocessing step. Then, fast imaging processors based on monostatic SAS system can be directly exploited to process the monostatic SAS equivalent data. In this paper, the authors mainly focus on the application of non‐linear chirp scaling algorithm. At last, the simulations and real data are used to validate the presented method. The processing results show that the imaging performance of presented method is nearly close to that of traditional method. Besides, the imaging efficiency is highly improved compared to the phase centre approximation (PCA) method.
Synthetic Aperture Radar image classification based on constrictive learning with limited data
Authors: Zhu Wenbin , Gu Hong , Zhu Xiaochun 
Published: May 2022

AbstractIt is difficult to obtain a large number of high‐quality labelled Synthetic Aperture Radar (SAR) image data. In order to solve the classification task of an SAR image with limited data, this paper proposes a dual‐network classification model of pre‐training and fine‐tuning based on contrastive learning and pseudo‐label training strategy. The algorithm firstly obtains the initial weight of the network through unsupervised pre‐training and then takes advantage of the pseudo‐label information to realise the fine tuning of the dual network. It effectively reduces the number of samples required during classification. Compared with the classification network without optimisation strategy, the proposed algorithm achieves higher classification accuracy in the ablation study.
Design choices in peer‐to‐peer energy markets with active network management
Authors: Regener Vincenz , Römmelt Gisela , Zeiselmair Andreas , Wasmeier Louisa , Bogensperger Alexander 
Published: May 2022

AbstractDue to the growing number of Distributed Energy Resources and new electrical loads at the sectoral contact points, novel organisational forms such as Local Energy Markets arise to deal with increasing complexity in the energy system. However, these markets are radically different from traditional energy markets, as they often allow individual prosumers to trade with each other via a peer‐to‐peer scheme. To guarantee tamper‐proof settlement, an increasing number of these markets feature a distributed ledger technology. This paper analyses different design variants of peer‐to‐peer markets, focusing specifically on the allocation mechanism under network constraints as these mechanisms constitute the core component of a market design. We assess these designs concerning user acceptance, economic performance, practicability, and their ability to relieve grid congestion. Further key performance indicators also cover communal revenues or welfare distribution. For this purpose, we developed an agent‐based simulation framework, which builds on data from three German reference municipalities derived from a novel clustering approach. Besides a consolidated presentation of the results, we highlight current implementation obstacles and identify promising concepts for further research.
Does meniscal repair impact muscle strength following ACL reconstruction?
Authors: Mesnard Guillaume , Fournier Gaspard , Joseph Léopold , Shatrov Jobe Gennadi , Lustig Sébastien , Servien Elvire 
Published: May 2022

Purpose: Meniscal lesions are commonly associated with anterior cruciate ligament (ACL) rupture. Meniscal repair, when possible, is widely accepted as the standard of care. Despite advancements in surgical and rehabilitation techniques, meniscal repair may impact muscle recovery when performed in conjunction with ACL reconstruction. The objective of this study was to explore if meniscal repairs in the context of ACL reconstruction affected muscle recovery compared to isolated ACL reconstruction. Methods: Fifty-nine patients with isolated ACL reconstruction were compared to 35 patients with ACL reconstruction with an associated meniscal repair. All ACL reconstructions were performed using hamstring grafts with screw-interference graft fixation. Isokinetic muscle testing was performed between six and eight months of follow-up. Muscle recovery between both groups was compared. A further subgroup analysis was performed to compare muscle recovery function of gender and meniscal tear location. Tegner scores were assessed at six months’ follow-up. Results: No significant differences were found between the two groups regarding muscle recovery. No difference in muscle recovery was found concerning gender. Lesion of both menisci significantly increased the deficit of hamstrings muscular strength at 60°/s compared to a lesion of one meniscus (26.7% ± 15.2 vs. 18.1% ± 13.5, p = 0.018) and in eccentric test (32.4% ± 26.2 vs. 18.1% ± 13.5, p = 0.040). No significant differences were found concerning the Tegner score. Conclusion: Meniscal repairs performed during an ACL reconstruction do not impact muscle recovery at 6–8 months post-operatively compared to an isolated ACL reconstruction. However, reparations of both menisci appear to impact hamstring muscle recovery negatively.
Level of evidence: III, Retrospective cohort study
Implantatversagen bei Instrumentierungen am lumbosakralen Übergang und Becken
– Ursachen und Behandlungskonzepte
Authors: Hartung Philipp , Richter Marcus 
Published: May 2022

ZusammenfassungDie Instrumentierung des lumbosakralen Überganges mit oder ohne Fusion erfolgt bei einer
Vielzahl von Pathologien. Häufig ist dies bei der operativen Therapie von degenerativen
Erkrankungen, aber auch bei Frakturen, Infektionen oder tumorassozierten Osteolysen der
unteren Lendenwirbelsäule und des Sakrums erforderlich. Die biomechanischen Anforderungen
an die Instrumentierung sind in diesem Wirbelsäulenabschnitt besonders hoch. Insbesondere
bei langstreckigen Instrumentierungen auf S1 ist eine hohe Pseudarthroserate im Segmet
L5/S1 mit und ohne Implantatversagen beschrieben. Um das Risiko von Komplikationen, die
zur Schraubenlockerung oder Implantatversagen im Segment L5/S1 führen, zu minimieren,
bieten sich mehrere Verfahren an.Revisionsstrategien zur Behandlung dieser Komplikationen erfordern neben der genauen
Analyse der Situation, unter Umständen besondere Implantatsysteme und
Operations-Techniken. Die Indikationsstellung zum dorsalen, ventralen oder kombinierten
Zugang ist im Wesentlichen davon abhängig, ob das Ziel der Operation die Fusion L5/S1
darstellt und wie diese mit größt möglicher Wahrscheinlichkeit erreicht werden kann.
Typ-1-Diabetes bei Kindern früh erkennen und präventiv handeln
Authors: Achenbach Peter 
Published: May 2022

ZUSAMMENFASSUNGTyp-1-Diabetes ist die häufigste chronische Stoffwechselerkrankung im Kindes- und Jugendalter, mit steigenden Inzidenzraten. Die Autoimmunerkrankung kann heute bereits in einem frühen Stadium – noch bevor Symptome auftreten – durch Antikörpertests sicher diagnostiziert werden. Die Fr1da-Studie verfolgt das Ziel, Typ-1-Diabetes bei Kindern im präsymptomatischen Frühstadium zu erkennen, durch Schulung und Monitoring schwere Stoffwechselentgleisungen bei Betroffenen zu verhindern und ihnen die Teilnahme an klinischen Studien mit neuen, potenziell präventiven Therapien zu ermöglichen. Die Durchführbarkeit und der Nutzen eines bevölkerungsweiten Screenings für Typ-1-Diabetes bei Kindern sollen evaluiert werden. Die Aufnahme der Früherkennungsuntersuchung in die medizinische Regelversorgung wird angestrebt.
A Perspective on the Force-Induced Heterolytic Bond Cleavage in Triarylmethane Mechanophores
Authors: Berrocal José Augusto , Hemmer James R. 
Published: May 2022

AbstractTriarylmethane derivatives and their corresponding trityl carbocations are among the oldest chemical species synthesized and studied by chemists. The carbocationic platforms are particularly interesting due to their stability, high extinction coefficient, and tunable absorption of light in the visible spectrum, which can be achieved through structural modifications. These stable cations are traditionally obtained through heterolytic cleavage of judiciously designed, parent triarylmethanes by exposure to acids or UV light (λ < 300 nm), and methods based on electrochemistry or radiolysis. Our group has recently discovered that trityl carbocations can be generated also via mechanical stimulation of solid polymer materials featuring triarylmethane units as covalent crosslinks. In this Synpacts contribution, we expand on our previous finding by discussing some intriguing research questions that we aim to tackle in the immediate future.1	Introduction2	The Development of Our First Triarylmethane Mechanophore3	The Potential Reversibility of Triarylmethane Mechanophores4	A General Molecular Platform for Force-Induced, Scissile, Homolytic and Heterolytic Bond Cleavage?5	Conclusion
Treatment Outcomes of Advanced Cholangiocarcinoma: A Single-Center Experience from India
Authors: Vijayaraghavan Niranjan , MP Rakesh , KVS Latha 
Published: May 2022

Background Survival data for patients with advanced cholangiocarcinoma are very sparse in India. We performed this study to find the median overall survival of patients with advanced cholangiocarcinoma and to identify prognostic factors for survival.
Methods This is a retrospective study of 30 patients with inoperable and metastatic cholangiocarcinoma treated with cisplatin and gemcitabine chemotherapy. Overall survival was estimated by the Kaplan–Meier method. Univariate and multivariate analyses were performed to determine the impact of age, gender, performance status, carbohydrate antigen (CA) 19.9, liver function test on survival. Data were analyzed using SPSS version 21.
Results The mean age of the population was 47.5 years (±14.5). The most common presenting complaint was jaundice followed by abdominal pain. Extrahepatic cholangiocarcinoma comprised of 86%. Median number of cycles was 4 and the response rate was 46.6% (partial response and stable disease) The median overall survival was 9 months (95% confidence interval = 6.0–11.8 months). The median survival of patients with Eastern Cooperative Oncology Group performance score < 2 and ≥2 were 15.6 and 4.2 months (p = 0.002), respectively. The median overall survival for patients with albumin > 3.0 g/dL was 12.1 and 4.5 months for < 3.0 g/dL (p = 0.039). Patients with CA 19.9 < 200 U/mL had a better overall survival (13.2 months) than those above 200 U/mL (5.6 months) (p = 0.001). In the multivariate analysis, performance status was found to be the only independent prognostic factor.
Conclusion Advanced cholangiocarcinoma has a poor prognosis. Performance status, serum albumin, and CA 19.9 were found to be prognostic.
Intraosseous Lipoma of the Calvaria in the Early Stage Resembling Normal Fatty Marrow
Authors: Nagase Shunsuke , Ogura Kanako , Ashizawa Karin , Sakaguchi Asumi , Hotchi Shiori , Hishii Makoto , Fukunaga Masaharu , Matsumoto Toshiharu 
Published: May 2022

AbstractIntraosseous lipoma (IOL) is a benign bone tumor that usually arises from the lower limb and rarely arises from the skull. Radiological diagnosis of a typical case is not problematic due to its characteristic calcification and marginal sclerosis. Here, we report a case of calvarial IOL in the early stage lacking conventional radiopathological features. The patient is a 7-year-old girl who presented with a slow-growing protuberance on the vertex of the head. Computed tomography displayed a low-density mass without calcification that was continuous with the surrounding diploe. The mass was resected piece by piece for diagnostic and cosmetic reasons. Histologically, the specimen consisted of bony trabeculae and intertrabecular adipose tissue, which resembled normal fatty marrow. However, adipose tissue was considered neoplastic since it lacked hematopoietic elements. The final diagnosis of IOL was made by radiopathological correlation. This case suggests that IOL should be included in the differential diagnosis of diploic expansion, even if calcification is absent. The histology of an early-stage IOL resembles normal fatty marrow, but recognizing the absence of hematopoietic elements aids the diagnosis. Also, our literature review indicates that such cases are likely to be encountered in the calvaria than cranial base.