Results 41 to 50 of about 232,052 (319)

IJCM_97A: Clinico-epidemiological profile and outcome of Severe Acute Malnutrition children admitted to the nutritional rehabilitation centre of a tertiary care hospital in Kalaburagi, Karnataka: a retrospective study

open access: yesIndian Journal of Community Medicine
Background: Severe acute malnutrition is the major cause for under- five morbidity and mortality. According to NFHS 5 (2019-20), 7.7% of malnourished children under 5 years in India were severely wasted and in Karnataka it is 8.4 %.
Sreeshyam K S   +3 more
doaj   +1 more source

Fisher SAM: Information Geometry and Sharpness Aware Minimisation [PDF]

open access: yesarXiv, 2022
Recent sharpness-aware minimisation (SAM) is known to find flat minima which is beneficial for better generalisation with improved robustness. SAM essentially modifies the loss function by reporting the maximum loss value within the small neighborhood around the current iterate.
arxiv  

Targeted Long‐Read Sequencing as a Single Assay Improves the Diagnosis of Spastic‐Ataxia Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The hereditary spastic‐ataxia spectrum disorders are a group of disabling neurological diseases. The traditional genetic testing pathway is complex, multistep and leaves many cases unsolved. We aim to streamline and improve this process using long‐read sequencing. Methods We developed a targeted long‐read sequencing strategy with the
Laura Ivete Rudaks   +20 more
wiley   +1 more source

Towards Understanding Sharpness-Aware Minimization [PDF]

open access: yesarXiv, 2022
Sharpness-Aware Minimization (SAM) is a recent training method that relies on worst-case weight perturbations which significantly improves generalization in various settings. We argue that the existing justifications for the success of SAM which are based on a PAC-Bayes generalization bound and the idea of convergence to flat minima are incomplete ...
arxiv  

Progressive Myoclonus Epilepsy: Distinctive MRI Changes in Cerebellar and Motor Networks

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progressive myoclonus epilepsy (PME) is a rare generalized epilepsy syndrome with a well‐characterized genetic basis. The brain networks that are affected to give rise to the distinctive symptoms of PME are less well understood. Methods Eleven individuals with PME with a confirmed genetic diagnosis and 22 controls were studied.
Jillian M. Cameron   +3 more
wiley   +1 more source

Application and prospects of large models in materials science

open access: yes工程科学学报
Representative large models and their related applications, such as Bidirectional encoder representations from transformers (BERT), Generative pretrained transformer (GPT), Segment anything model (SAM), ChatGPT, DALL-E, Wenxin, and Pangu, have made ...
Changtai LI   +5 more
doaj   +1 more source

Allocating Income from Targeting Subsidy to the Production Sectors: Distributional Impacts of Different Alternatives for the Iranian Households [PDF]

open access: yesپژوهشهای اقتصادی, 2014
This study investigates alternative options for allocating incomes from targeting subsidy program to different production sectors and its consequences on income distribution among Iranian households.
Vahideh Ansari, Habibollah Salami
doaj  

“It's Just Good Science”: A Qualitative Study Exploring Equity, Diversity, and Inclusion in Canadian Arthritis Research

open access: yesArthritis Care &Research, EarlyView.
Objective Despite knowledge that health outcomes vary according to patient characteristics, identity, and geography, including underrepresented populations in arthritis research remains a challenge. We conducted interviews to explore how researchers in arthritis have used equity, diversity, and inclusion (EDI) principles to inform their research ...
Megan M. Thomas   +8 more
wiley   +1 more source

Three analogues of Stern's diatomic sequence [PDF]

open access: yesarXiv, 2015
We generalize Stern's diatomic sequence in three ways.
arxiv  

Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization [PDF]

open access: yesarXiv, 2023
Recently, Sharpness-Aware Minimization (SAM) has shown state-of-the-art performance by seeking flat minima. To minimize the maximum loss within a neighborhood in the parameter space, SAM uses an ascent step, which perturbs the weights along the direction of gradient ascent with a given radius.
arxiv  

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