19684 research outputs found
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Global Sociologists for Palestine:Campaigning in Solidarity with Palestine within the International Sociological Association
Get PDFAt the time of this writing in late September 2025, the official death toll from the two-year Israeli genocide on Gaza was at about 66,000, a large majority of these civilians. The deliberate killing of all segments of the population, the destruction of homes and infrastructure (including hospitals, schools, and the sewage system), the blockage and deprivation of food and medicine, and the forced displacement of Gazans all constitute elements of genocide. The International Court of Justice is hearing a case charging Israel with genocide (Borger, 2025), and growing numbers of genocide experts, including the International Association of Genocide Scholars, have characterised Israel’s ongoing actions as genocide. In a separate case, the same Court found Israel’s government guilty of apartheid and illegal occupation in 2024 (Baldwin, 2024). International academic associations, including the International Sociological Association (ISA), have issued statements deploring the killing of both Palestinian and Israeli civilians in October 2023, but have done littleto actually hold the Israeli government and its institutions to account—until June 2025
Critical Section Macros – New Results (Extended Abstract)
No full textThis extended abstract presents new empirical results of recently introduced Critical Section Macro-operators (CSMs) whose design is inspired by using lockable resources in critical sections in parallel computing. In particular, we provide results on the IPC-2023 learning track domains and four planners, including the winner of the agile track of the IPC-2023 and a lifted planner.</p
Bridging the gap:De-medicalizing intersex and the role of social work practice
No full textThere are growing international concerns around the needs and status of intersex people in society. The medical trauma and bodily violations that people with variations ofsex characteristics can endure has been outlined within legal, human rights, and social science literature, however at present there is a dearth of publications that examine what this means for social work practice. Using critical intersex studies to underpin the analysis, this commentary will explore how social workers can begin to think about the psychosocial needs of intersex people, whilst drawing upon the profession’s fundamental values concerning social justice. It will introduce wider terminology regarding variations of sex characteristics and discuss the primary challenges that intersex people face in terms of non-consensual medical interventions, discrimination, and erasure. It will alsoacknowledge human rights concerns raised by global bodies and set out the legal and policy contexts, with a focus on frameworks in the UK. Finally, it will explore the distinctapproaches that social workers can bring to the field, in order to disrupt wider medicalized discourses which currently dominate professional practice
Adaptive Implicit-Based Deep Learning Channel Estimation for 6G Communications
Get PDFWith the widespread deployment of fifth-generation (5G) wireless networks, research on sixth-generation (6G) technology is gaining momentum. Artificial intelligence (AI) is anticipated to play a significant role in 6G, particularly through integration with the physical layer for tasks such as channel estimation. Considering resource limitations in real systems, the AI algorithm should be designed to balance accuracy and resource consumption dynamically according to the scenarios. However, conventional explicit multilayer-stacked deep learning (DL) models struggle to adapt due to their heavy reliance on the structure of deep neural networks. This article proposes an adaptive implicit-layer DL channel estimation network (ICENet) with a lightweight framework for vehicle-to-everything communications. This novel approach balances computational complexity and channel estimation accuracy by dynamically adjusting computational resources based on input data conditions, such as channel quality. Unlike explicit multilayer-stacked DL-based channel estimation models, ICENet offers a flexible framework, where specific requirements can be achieved by adaptively changing the number of iterations of the iterative layer. Meanwhile, ICENet requires less memory while maintaining high performance. The article concludes by highlighting open research challenges and promising future research directions.</p
Near Phoria and Near Point of Convergence Parameters in Children With Hearing and Speech Impairment:A Cross-Sectional Study
No full textBackground and Aims: Children with hearing and speech impairment are reported to have a higher prevalence of refractive errors and amblyopia. Most studies conducted previously have not primarily concentrated on the binocular vision aspects of near vision in children with hearing impairment (HI). The aim of this study was to investigate and compare the parameters of near phoria and near point of convergence (NPC) among hearing and speech impaired school children with age matched control group of emmetropic non hearing-impaired Children. Methods: A total of 279 participants in the age range of 6–15 years participated in this study. Children with ametropia, distance visual acuity lower than 20/30 (0.2 Log MAR), N6 at 40 cm and ocular abnormalities other than non-strabismic binocular vision abnormalities, were excluded from the study. Children who passed the vision screening, and who had no other ocular abnormalities underwent testing for near phoria and near point of convergence. Results: Statistical analyses between the two groups showed that children with HI had a higher median (± IQR) value of near phoria (−3 ± 5 Δ) and receded NPC (10 ± 5 cm) compared to age matched controls (near phoria: −1 ± 3 Δ, NPC: 6 ± 5 cm). This difference was statistically and clinically significant (Mann Whitney U test, Near Phoria p < 0.005, NPC p < 0.05). The prevalence of Convergence Insufficiency (CI) was 33.33% in the hearing and speech impaired group when compared to 20.43% among age matched controls (Z-test, p < 0.05). Conclusion: A higher percentage of children with hearing and speech impairment have receded near point of convergence and larger exophoria compared to their age matched non hearing-impaired counterparts. Since children with hearing impairment depend primarily on visual means of communication by sign language and through understanding signs and facial expressions, it is especially important to diagnose and offer treatment to all visual conditions causing possible detriment to vision.</p
A deep learning-enhanced in-situ surface topography measurement method based on the focus variation microscopy and the industrial camera for material extrusion-based additive manufacturing
No full textFocus variation microscopy is a powerful tool but is limited in its applicability to in-situ states. A research gap exists in adapting focus variation microscopy with inexpensive, easy-to-operate cameras to enable rapid surface topography acquisition in online measurements. To address this, we propose a novel deep learning-enhanced framework, M2CNet, in which images captured by a conventional industrial camera are first aligned with microscopy images using feature-based image registration. These aligned images are then paired with high-precision point clouds using a multi-focus window sliding technique and finally mapped to 3D point clouds via convolutional neural networks. A case study involving the surface of PLA fabricated by FDM showed that the M2CNet-16 model achieved the best result, with an average surface roughness (Sq) error of 6.4%, a Pearson correlation of 83.5%, and a processing time of 2.61 s. These results indicate that M2CNet improves training and prediction efficiency while maintaining state-of-the-art performance. Findings validate the feasibility of using simple cameras for high-precision topography measurements in material extrusion-based additive manufacturing
Sampled-Data Based Containment Control for a Class of Nonlinear Multiagent Systems With Dynamic Leaders and Control Saturation
No full textThis article focuses on examining the sampled-data based containment control (CC) issue for nonlinear multiagent systems (MASs) with dynamic leaders and input saturation. The proposed control protocol requires that the information is exchanged and calculated only at the sampling instants with the aim of conserving communication resources, and the protocol incorporates the control saturation as well. The CC is analyzed by means of the algebraic graph theory, M-matrix theory and Halanay-type inequality, etc. Some criteria are derived to ensure the MAS can realize the CC under the control protocol, and in the meantime, a CC region is also given ensuring that all the followers with their initial stacked states in it will converge ultimately to the convex hull formed by the leaders. Furthermore, the design of the control gain can be carried out by searching for feasible solutions to a group of matrix inequalities. Finally, a numerical illustration is provided to substantiate the efficacy of the theoretical findings.</p
Motor Current Characterisation Based on Modulation Signal Bispectrum for Online Monitoring of Machining Operations
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