Article
Computer Science, Artificial Intelligence
Hoang Phuc Hau Luu, Hoai Minh Le, Hoai An Le Thi
Summary: This paper addresses a class of nonsmooth nonconvex stochastic DC programs and proposes a stochastic algorithm called MCSDCA. The algorithm is applied to the regularization problem in deep learning using Markov chains and Langevin dynamics, and the advantages of the method are demonstrated through numerical experiments.
Article
Computer Science, Artificial Intelligence
Zhiqiang Bao, Zhenhua Huang, Jianping Gou, Lan Du, Kang Liu, Jingtao Zhou, Yunwen Chen
Summary: This paper proposes a novel framework called Teacher-Student Complementary Sample Contrastive Distillation (TSCSCD), which improves the performance of compact student models by addressing the challenges of weak supervision and overconfident predictions. TSCSCD outperforms recent state-of-the-art knowledge distillation techniques.
Article
Immunology
Lucy G. Anderson, Eleftheria Vogiatzoglou, Shi Tang, Sarah Luiz, Turley Duque, James P. Ghaly, Jared J. Schwartzer, Jena B. Hales, Marta Sabariego
Summary: This study investigated the potential connections between memory, neuroimmunology, and ADHD in both male and female animals using spontaneously hypertensive rats (SHR). The findings suggest that SHR exhibit deficits in spatial working memory and memory for elapsed time, as well as some differences in hippocampal cytokine concentrations. These findings contribute to a better understanding of the neurobiological basis of ADHD in both sexes and may inform future research aimed at developing effective treatments for the disorder.
BRAIN BEHAVIOR & IMMUNITY-HEALTH
(2024)
Article
Neurosciences
Aaron Bangad, Mehdi Abbasi, Sam Payabvash, Adam de Havenon
NEUROIMAGING CLINICS OF NORTH AMERICA
(2024)
Article
Computer Science, Artificial Intelligence
Onur Can Kurban, Tulay Yildirim
Summary: Biometrics is a highly valued and extensively studied field that can recognize individuals based on their unique physical and behavioral differences. This study created a new biometrics database containing silhouette, thermal face, and skeletal data to improve recognition performance and reduce material costs.
Article
Neurosciences
Haruki Toda, Hiroaki Hobara, Mitsunori Tada
Summary: This study investigated sex differences in lower limb dynamic joint stiffness (DJS) during walking in older adults. The results showed that ankle DJS was lower in older women, which was caused by the reduced ankle plantarflexion moment. However, knee DJS did not elucidate the cause of knee osteoarthritis (OA) in older women.
Article
Neurosciences
Luis H. Cubillos, Elliott J. Rouse, Thomas E. Augenstein, Varun Joshi, Edward S. Claflin, Chandramouli Krishnan
Summary: The study found that the reliability of stiffness, viscosity, and inertia of the ankle joint was good to excellent during standing. During walking, the reliability of stiffness and viscosity was also good to excellent, while that of inertia was fair to good. The minimal detectable change (MDC) ranged widely, but was higher for inertia during walking.
Article
Neurosciences
Takahiro Watanabe, Tomoya Takabayashi, Takanori Kikumoto, Yudai Kikuchi, Shunsuke Suzuki, Shiori Hiratsuka, Masayoshi Kubo
Summary: This study suggests that there are differences in abductor hallucis activity between individuals with chronic ankle instability and ankle sprain copers, indicating neuromuscular dysfunction in these patients, which leads to pain and instability symptoms.
Article
Computer Science, Artificial Intelligence
Teng Cheng, Lei Sun, Junning Zhang, Jinling Wang, Zhanyang Wei
Summary: This study proposes a scheme that combines the start-stop point signal features for wideband multi-signal detection, called Fast Spectrum-Size Self-Training network (FSSNet). By utilizing start-stop points to build the signal model, this method successfully solves the difficulty of existing deep learning methods in detecting discontinuous signals and achieves satisfactory detection speed.
Article
Immunology
Beatrice Bravi, Elisa Maria Teresa Melloni, Marco Paolini, Mariagrazia Palladini, Federico Calesella, Laura Servidio, Elena Agnoletto, Sara Poletti, Cristina Lorenzi, Cristina Colombo, Francesco Benedetti
Summary: Depressed patients show changes in immune-inflammatory markers in their blood and cerebrospinal fluid. The Choroid Plexus, located at the base of the brain ventricles, plays a key role in regulating the exchange of substances between the brain and immune cells. Patients with bipolar disorder or major depressive disorder have larger Choroid Plexus volumes compared to healthy controls. Age and levels of circulating cytokines are associated with Choroid Plexus volumes in the clinical groups.
BRAIN BEHAVIOR AND IMMUNITY
(2024)
Article
Computer Science, Artificial Intelligence
Wenming Wu, Xiaoke Ma, Quan Wang, Maoguo Gong, Quanxue Gao
Summary: The layer-specific modules in multi-layer networks are critical for understanding the structure and function of the system. However, existing methods fail to accurately characterize and balance the connectivity and specificity of these modules. To address this issue, a joint learning graph clustering algorithm (DRDF) is proposed, which learns the deep representation and discriminative features of the multi-layer network, and balances the connectivity and specificity of the layer-specific modules through joint learning.
Article
Computer Science, Artificial Intelligence
Zhenyi Wang, Pengfei Yang, Linwei Hu, Bowen Zhang, Chengmin Lin, Wenkai Lv, Quan Wang
Summary: In the face of the complex landscape of deep learning, we propose a novel subgraph-level performance prediction method called SLAPP, which combines graph and operator features through an innovative graph neural network called EAGAT, providing accurate performance predictions. In addition, we introduce a mixed loss design with dynamic weight adjustment to improve predictive accuracy.
Article
Neurosciences
Yoshitaka Otani, Osamu Aoki
Summary: This study found that feelings of fear affect postural control but not the internal focus of attention. This finding may be useful in assessments and interventions for older adults with a fall risk.
Article
Computer Science, Artificial Intelligence
Yiyang Yin, Shuangling Luo, Jun Zhou, Liang Kang, Calvin Yu-Chian Chen
Summary: Medical image segmentation is crucial for modern healthcare systems, especially in reducing surgical risks and planning treatments. Transanal total mesorectal excision (TaTME) has become an important method for treating colon and rectum cancers. Real-time instance segmentation during TaTME surgeries can assist surgeons in minimizing risks. However, the dynamic variations in TaTME images pose challenges for accurate instance segmentation.
Article
Behavioral Sciences
Andrea Gajardo-Vidal, Maxime Montembeault, Diego L. Lorca-Puls, Abigail E. Licata, Rian Bogley, Sabrina Erlhoff, Buddhika Ratnasiri, Zoe Ezzes, Giovanni Battistella, Elena Tsoy, Christa Watson Pereira, Jessica Deleon, Boon Lead Tee, Maya L. Henry, Zachary A. Miller, Katherine P. Rankin, Maria Luisa Mandelli, Katherine L. Possin, Maria Luisa Gorno-Tempini
Summary: This study investigates the potential differences in processing speed and neural correlates among the three variants of Primary Progressive Aphasia (PPA). The findings reveal that non-verbal cognitive abilities, such as processing speed, are significantly impacted in nfvPPA and lvPPA patients compared to healthy controls and svPPA patients. Neuroimaging results confirm the importance of fronto-parietal regions associated with processing speed and executive control.
Article
Computer Science, Artificial Intelligence
Victor R. Barradas, Yasuharu Koike, Nicolas Schweighofer
Summary: Inverse models are essential for human motor learning as they map desired actions to motor commands. The shape of the error surface and the distribution of targets in a task play a crucial role in determining the speed of learning.
Article
Neurosciences
Christina M. Marra
Summary: Stroke can be a complication of CNS infections, especially caused by VZV and T pallidum. Treatment with adjunctive dexamethasone for acute pneumococcal meningitis is recommended, but it may lead to the emergence of DCV syndrome.
NEUROIMAGING CLINICS OF NORTH AMERICA
(2024)
Article
Neurosciences
Renato Hoffmann Nunes, Diogo Goulart Correa, Felipe Torres Pacheco, Ana Paula Alves Fonseca, Luiz Celso Hygino da Cruz Jr, Antonio Jose da Rocha
Summary: Vasculopathy is a significant consequence of various infections, and early recognition is essential as many of these diseases have poor outcomes if left untreated. Neuroimaging techniques such as MRI, CTA, and MRA can be used to visualize the complications associated with infectious vasculopathy, while high-resolution intracranial vessel wall imaging can directly assess the presence of vasculitis.
NEUROIMAGING CLINICS OF NORTH AMERICA
(2024)
Article
Neurosciences
Omar Hamam, Samuel C. Cartmell, Javier M. Romero
NEUROIMAGING CLINICS OF NORTH AMERICA
(2024)
Article
Neurosciences
Alison M. Bays
NEUROIMAGING CLINICS OF NORTH AMERICA
(2024)
