Motion primitives play an important role in motion planning for autonomous vehicles, as they effectively address the sampling challenges inherent in nonholonomic motion planning. Employing motion primitives (MPs) is a widely accepted approach in nonholonomic motion planning based on sampling. This study specifically addresses the problem of learning from human-driving data to create human-like trajectories from predefined start-to-end states, which then serve as MP within the sampling-based nonholonomic motion planning framework. In this paper, we propose a deep learning-based method for generating MP that capture human-driving trajectory data features. By processing human-driving trajectory data, we create a Motion Primitive dataset that uniformly covers typical urban driving scenarios. Based on this dataset, a vehicle model long short-term memory neural network model is constructed to learn the features of the human-driving trajectory data. Finally, a framework for the generation of MP for practical applications is given based on this neural network. Our experiments, which focus on the dataset, the MMP generation network, and the generation process, demonstrate that our method significantly improves the training efficacy of the MP generation network. Additionally, the MP generated by our method exhibit higher accuracy compared to traditional methods.

Adolescence is a critical period marked by significant physical and psychological changes, yet there is limited understanding of suicidal behaviors among adolescents in Bangladesh. To address this gap, the MeLiSA study utilizing a two-stage stratified cluster sampling approach was conducted to investigate the prevalence and associated factors of suicidal ideation, plans and attempts among adolescents. A total of 1,496 participants were recruited from urban and rural areas, and their socio-demographic characteristics and data on smoking, alcohol use, depression, anxiety and insomnia were obtained. Chi-square and Fisher’s exact tests were used for univariate analyses, followed by multivariable logistic regression to identify factors associated with suicidal behaviors. The findings revealed that 6.8% reported experiencing lifetime suicidal ideation, with 2.3% suicide plans and 0.8% suicide attempts. The 12-month prevalence rates were 3.2% for suicidal ideation, 1.5% for suicide plans and 0.6% for suicide attempts. Smoking emerged as a significant predictor of suicidal ideation, plans and attempts, while alcohol use was strongly linked to past-year suicide attempts. Depression was associated with lifetime suicidal ideation, whereas anxiety significantly influenced both lifetime and past-year suicide plans. These results provide valuable insights that could inform evidence-based interventions and policies to address prevalent mental disorders and suicidal behaviors among adolescents in Bangladesh.

The study of dis/misinformation is currently in vogue, however with much ambiguity about what the problem precisely is, and much confusion about the key concepts that are brought to bear on this problem. My aim of this paper is twofold. First, I will attempt to precisify the (dis/mis)information problem, roughly construing it as anything that undermines the “epistemic aim of information.” Second, I will use this precisification to provide a new grounded account of dis/misinformation. To achieve the latter, I will critically engage with three of the more popular accounts of dis/misinformation which are (a) harm-based, (b) misleading-based, and (c) ignorance-based accounts. Each engagement will lead to further refinement of these key concepts, ultimately paving the way for my own account. Finally, I offer my own information hazard-based account, which distinguishes between misinformation as content, misinformation as activity, and disinformation as activity. By introducing this distinction between content and activity, it will be shown that my account is erected on firmer conceptual/ontological grounds, overcoming many of the difficulties that have plagued previous accounts, especially the problem of the proper place of intentionality in understanding dis/misinformation. This promises to add clarity to dis/misinformation research and to prove more useful in practice.

Gluck has long been celebrated for his operatic reforms. This article examines the role of the orchestra in Gluck's reformed style. I trace how Gluck's audiences learned new audile techniques in order to understand the role of his instrumental accompaniment. This form of listening posed challenges: some eighteenth-century listeners struggled to understand the role of the orchestra. The ‘naturalness’ so prized in the reformed style was achieved, I argue, by having the orchestra take on a larger role, but one that was rhetorically sublimated to the text. This is naturalised today: from Wagnerian music dramas to contemporary films, orchestral accompaniment often serves as a sonic commentary. The tensions in Gluck's reception, then, point to a seismic shift in the history of listening, showing how audiences came to understand the orchestra as a subtext. Gluck's orchestra offers broader lessons for musicology today, in particular for the burgeoning subfield of timbre studies: the form of ‘orchestral listening’ required for Gluck's operas is a form of timbral listening avant la lettre. While timbre is often invoked in order to escape musicology's traditional disciplinary ideologies, the story of Gluckian operatic drama points to the ways that orchestral listening emerged only through acts of disciplining and restraint.

Southwest China is a region that has been perhaps uniquely shaped over the longue durée by mutual appropriations of status, authority, land, material culture, genealogies, and cultural-historical identities. Drawing on both ethnographic fieldwork and the official and unofficial Chinese and Nuosu-Yi textual evidence, in this article I offer a new view of how, during the Ming and Qing dynasties, native officials were shaped by their efforts at appropriating elements of officialdom (responsibility towards the court) and nativeness (adherence to local customs). My historical textual-cum-anthropological analysis builds on C. Patterson Giersch’s notion of the “middle grounds” between the Chinese state and its borderland peoples to reveal “further ways” of uncovering the history of their history. I show that mutual appropriations of officialdom and nativeness have led to specific forms of acculturation that are neither linear nor irreversible. Cultural hybridizations underpin the current Yi core identity and culture in Liangshan today.

In this article I bring Henry James's novella The Turn of the Screw, Benjamin Britten and Myfanwy Piper's opera based on the novella, and elements of the 2011 Glyndebourne production of the opera into interaction with theories of the uncanny to wonder about the act of reading. This novella and opera thematize reading in connection with the uncanny and the ghostly, providing an opportunity to pursue what might be at stake and what might be possible when boundaries blur and meaning is put in motion. I begin to explore uncanny reading as a tool to unsettle binary logics and one-to-one mappings. I consider the uncanny as connective tissue between theoretical makings related to identity, relationships, and the potentialities of fiction. And I put these ideas into interactive practice as I self-consciously read this opera, to connect to and challenge normative and oppressive forces, impulses, and systems, including cultural scripts, social power structures, and ways of knowing and interacting.

Social media content creation is hugely popular with second-generation Arab immigrants to the UAE who lack a path to naturalized citizenship, particularly as a space to perform their belonging in the nation. This essay analyzes the work of two Arabophone content creators on Instagram and YouTube who use comedy to perform as quintessential “Dubai kids.” While they align with the state mission of presenting the UAE positively on social media, these creators produce ironic content that makes visible practices of belonging by second-generation youth who distance themselves from inherited politics of national and gender identity. The affective communities that form around these satirical content creators offer a model of belonging in which binaries of citizen and noncitizen can be elided, staging performances of immigrant identity uniquely local to the UAE.

This study investigates the impact of historical and ideological continuities in Turkey’s migration policies on contemporary attitudes toward Syrian refugees. It examines how ethnic homogenization and discrimination, rooted in the foundation of the Turkish Republic, continue to shape public perceptions and policy frameworks. The research is based on qualitative methodologies, including 41 semi-structured in-depth interviews conducted between July and December 2021 with Syrian refugees and Turkish community members residing in Altındağ, Mamak, and Ümitköy districts of Ankara. Participants were purposively selected to provide diverse perspectives on social integration and identity formation. The findings reveal a shift from initial acceptance under religious solidarity to increasing exclusion, driven by nationalist rhetoric. Despite official claims of promoting multiculturalism, Turkish policies and societal attitudes often reinforce prejudices, fostering a socio-political environment where racial and ethnic biases persist.

Quantum learning models hold the potential to bring computational advantages over the classical realm. As powerful quantum servers become available on the cloud, ensuring the protection of clients’ private data becomes crucial. By incorporating quantum homomorphic encryption schemes, we present a general framework that enables quantum delegated and federated learning with a computation-theoretical data privacy guarantee. We show that learning and inference under this framework feature substantially lower communication complexity compared with schemes based on blind quantum computing. In addition, in the proposed quantum federated learning scenario, there is less computational burden on local quantum devices from the client side, since the server can operate on encrypted quantum data without extracting any information. We further prove that certain quantum speedups in supervised learning carry over to private delegated learning scenarios employing quantum kernel methods. Our results provide a valuable guide toward privacy-guaranteed quantum learning on the cloud, which may benefit future studies and security-related applications.

This study aimed to investigate the psychological impact of the Turkey 2023 earthquakes on preschool-aged children and to compare them with those with other life-threatening traumas. Thirty-four preschool children who experienced earthquakes on February 6, 2023, and applied to our outpatient clinic in the following 3 months, and 37 other trauma-experienced preschool children were included in this cross-sectional study. Preschool Age Psychiatric Assessment/Post-Traumatic Stress sections were conducted. Parents were asked to complete the Pediatric Emotional Distress Scale and the Child Behavior Checklist for Ages 1.5–5 to evaluate stress-related reactions alongside psychiatric problems of children. The results showed that acute stress disorder and post-traumatic stress disorder (PTSD) were more common in the earthquake-experienced group than in the other trauma-experienced group (Fisher’s exact test, 52.9% vs. 8.1%, p < 0.001 and 38.2% vs. 8.1%, p = 0.004, respectively). Migration after the earthquake had no additional impact on trauma-related psychiatric outcomes, either ASD or PTSD (p = .153, and p = 0.106, respectively); whereas sleep problems predicted PTSD (OR = 1.26, β = 0.42, p = 0.036) in the earthquake-experienced group. Our study provides implications for understanding the psychological impact of earthquakes and risk factors for PTSD among preschool children.

The magnetostrictive response of a Terfenol-D pellet was measured via a laboratory-based X-ray diffractometer. X-ray diffraction patterns were collected from the pellet sample with and without the presence of an applied magnetic field (~30 mT) generated by placing a large magnet under the pellet. A standard reference material, Silicon 640c, was employed as an internal standard. Magnetostriction values of 323 and 227 ppm Δl/l were determined for the (104) and (110) indexed peaks, respectively, assuming a rhombohedral structure for Terfenol-D. A threshold noise level value of ~20 to 30 ppm Δl/l was suggested based on before/after measurements in the absence of the applied field. No clear evidence of domain wall rotation was detected via changes in relative intensities of diffraction peaks in the presence of the applied magnetic field.