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Deep learning-based femoral reconstruction from intraoperative point clouds for enhanced knee arthroplasty registration

Author(s): Kafian Safari M; Mirzae M; Gheflati B; Sharifzade M; Zuhars J; Rottoo S; Rivaz H;

Purpose: Computer- and robotic-assisted technologies improve total knee arthroplasty (TKA) through intraoperative bone registration. However, limited bone exposure restricts point collection to the distal femur, omitting key geometric features and reducing registration accuracy and the surgical outcomes. Methods: We introduce a deep learning-based method ...

Article GUID: 41984365


Reliability and Validity of Risk Assessment Tools for Violent Extremism: A Systematic Review

Author(s): Brouillette-Alarie S; Hassan G; Varela W; Danis E; Ousman S; Madriaza P; Pauls IL; Kilinc D; Pickup D; Pelzer R; Borokhovski E;

Assessment of the risk of engaging in a violent radicalization/extremism trajectory has evolved quickly in the last 10 years. Guided by what has been achieved in psychology and criminology, scholars from the field of preventing violent extremism (PVE) have tried to import key lessons from violenc ...

Article GUID: 41978672


Assessing Port-related Greenhouse Gas Emissions and Mitigation Pathways Through a Comprehensive Framework Applied to the Vancouver Fraser Port Authority

Author(s): Wang Z; Su Y; Lu Z; An C;

Maritime transport is a major contributor to greenhouse gas (GHG) emissions, and ports play a critical role in shaping regional and national decarbonization pathways. This study develops a comprehensive framework to quantify both offshore and onshore GHG emissions associated with port activities and applies it to the Vancouver Fraser Port Authority (VFPA) ...

Article GUID: 41925888


On traits matching and the modular organization of food web and occurrence networks

Author(s): Borzone Mas D; Scarabotti PA; Vaschetto PA; Alvarenga P; Vazquez M; Arim M;

Modularity and nestedness have been observed recurrently across different ecological networks, including food webs and occurrence networks. These patterns emerge from species-level processes, where interactions and occurrences are determined by niche-based and/or abundance-based mechanisms. Abundance-based processes promote nested networks with gradients ...

Article GUID: 41840807


Neural topic modeling on hyperspheres: Spherical representation learning with von Mises-Fisher mixtures

Author(s): Guo D; Luo Z; Bouguila N; Fan W;

Neural topic models (NTMs) based on variational autoencoders (VAEs) have emerged as a scalable and flexible alternative to classical probabilistic models for uncovering latent thematic structures in text corpora. However, most existing NTMs either overlook the geometric structure of word embeddings or rely on Euclidean priors that are poorly aligned with ...

Article GUID: 41791177


The prevalence and predictors of aggressive obsessions in obsessive-compulsive disorder: A meta-analytic review

Author(s): Fawcett EJ; Morris Q; Lahey C; Corran C; Krause S; Bishop OC; Rash JA; Carter J; Fawcett JM;

Obsessive-compulsive disorder (OCD) is a heterogeneous condition often characterized in relation to major symptom dimensions, including contamination, symmetry/exactness, religious, aggressive, sexual, hoarding/saving, somatic, and miscellaneous. Aggressive obsessions, defined as intrusive though ...

Article GUID: 41650656


Associations of pregnancy complications with paternal cardiovascular risk: a retrospective cohort study

Author(s): Mussa J; Wen L; Sharafi M; Gouin JP; Rahme E; Dasgupta K;

Background: Early cardiovascular disease risk detection opportunities are limited in men, whereas gestational diabetes, gestational hypertension and preeclampsia are risk indicators in women. We hypothesised adverse pregnancy outcomes also signal risk in fathers, due to shared environments and behaviours. Methods: Our retrospective cohort study included ...

Article GUID: 41407531


Brine management via reverse osmosis-based technologies: Energy consumption, performance limits, economic feasibility, and practical applicability

Author(s): Khaled Touati

Effective brine management remains a major challenge for the desalination industry, particularly as plants encounter increasingly high-salinity waste streams. This study presents a comparative performance assessment of advanced reverse osmosis-based technologies, low-salt-rejection reverse osmosis (LSRRO), high-pressure reverse osmosis (HPRO), osmotically ...

Article GUID: 41389752


From pollution barriers to health buffers: Rethinking building airtightness under climate variability

Author(s): Fu N; Zhang R; Haghighat F; Kumar P; Cao SJ;

Climate change is reshaping indoor-outdoor pollution dynamics, yet current building standards rarely reflect this shift. In rapidly urbanizing regions with high ambient PM2.5 levels, building airtightness offers an underutilized strategy to mitigate indoor exposure and associated health burdens. An analysis of 36 major Chinese cities across five climate z ...

Article GUID: 41252997


Exploring neurologists perspectives: barriers and facilitators in implementing cognitive care planning

Author(s): Ge S; Xiao X; Huang B; Britt KC;

Article GUID: 41163714


Quality Assessment of Health Information on Social Media During a Public Health Crisis: Infodemiology Study

Author(s): Haghighi R; Farhadloo M;

Background: The quality of health information on social media is a major concern, especially during the early stages of public health crises. While the quality of the results of the popular search engines related to particular diseases has been analyzed in the literature, the quality of health-related information on social media, such as X (formerly Twitt ...

Article GUID: 41135052


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