User guide for Inferior Frontal Sulcal Hyperintensity (IFSH) Scale and related template

This report describes the data related to the article entitiled: “Relationship between inferior frontal sulcal hyperintensities on brain MRI, ageing and cerebral small vessel disease”. 1. User guide for Inferior Frontal Sulcal Hyperintensity (IFSH) Scale This user guide with detailed definition, description and clear examples aims to rate objectively and reproducibly the amount of hyperintensity demonstrated in the CSF in the inferior frontal sulci of the brain. 2. Inferior Frontal Sulcal Hyperintensity (IFSH) Scale templat

Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos

A key challenge with procedure planning in instructional videos lies in how to handle a large decision space consisting of a multitude of action types that belong to various tasks. To understand real-world video content, an AI agent must proficiently discern these action types (e.g., pour milk, pour water, open lid, close lid, etc.) based on brief visual observation. Moreover, it must adeptly capture the intricate semantic relation of the action types and task goals, along with the variable action sequences. Recently, notable progress has been made via the integration of diffusion models and visual representation learning to address the challenge. However, existing models employ rudimentary mechanisms to utilize task information to manage the decision space. To overcome this limitation, we introduce a simple yet effective enhancement - a masked diffusion model. The introduced mask acts akin to a task-oriented attention filter, enabling the diffusion/denoising process to concentrate on a subset of action types. Furthermore, to bolster the accuracy of task classification, we harness more potent visual representation learning techniques. In particular, we learn a joint visual-text embedding, where a text embedding is generated by prompting a pre-trained vision-language model to focus on human actions. We evaluate the method on three public datasets and achieve state-of-the-art performance on multiple metrics. Code is available at https://github.com/ffzzy840304/Masked-PDPP.Comment: 7 pages (main text excluding references), 3 figures, 7 table

The possible causes for sulcal hyperintensities on FLAIR images on brain MRI: the dataset derived from a systematic review

This report describes the data related to the article entitiled: “Relationship between inferior frontal sulcal hyperintensities on brain MRI, ageing and cerebral small vessel disease”. This systematic review was conducted to assess possible causes for sulcal hyperintensities on fluid-attenuated inversion recovery (FLAIR) images on brain MRI

A study of inter-generational differences in personal values of the chinese managers in Singapore.

In this project, we took a look into the differences in personal value systems of the Chinese managers in Singapore across different generations. Our findings for measures developed with both Eastern and Western constructs generally supports the null hypothesis that there is not much difference in the personal values of Singaporean Chinese managers in the different age groups, only with the exception of the value dimension, dogmatism

Corporate strategy in a transitional economy : a study of Maya cement in Hangzhou, Zhejiang, PRC

Postulate a strategic framework relevant to competitive industries in a transitional economy through an understanding of Hangzhou Maya Cement Co., Ltd. and Hangzhou Maya Dragon Cement Co., Ltd. and their business operations in Zhejiang, People’s Republic of China.Master of Business Administratio

Food service operations in NTU.

Students should enjoy an overall experience if NTU were to compete with world-class institutions. The meal experience is part of this overall experience. This report investigates how foreign dining services can be implemented locally, analyses how students and staff want existing foodservices to be changed and implications of introducing new improvements

TAILOR: Teaching with Active and Incremental Learning for Object Registration

When deploying a robot to a new task, one often has to train it to detect novel objects, which is time-consuming and labor- intensive. We present TAILOR - a method and system for ob- ject registration with active and incremental learning. When instructed by a human teacher to register an object, TAILOR is able to automatically select viewpoints to capture informa- tive images by actively exploring viewpoints, and employs a fast incremental learning algorithm to learn new objects without potential forgetting of previously learned objects. We demonstrate the effectiveness of our method with a KUKA robot to learn novel objects used in a real-world gearbox as- sembly task through natural interactions

A Unique CD27-IgD(-) B Cell Population in the Sputum of Severe Eosinophilic Asthma Associated with Airway Autoimmunity

10.1165/rcmb.2022-0137LEAMERICAN JOURNAL OF RESPIRATORY CELL AND MOLECULAR BIOLOGY674506-51

Global haemostatic tests demonstrate the absence of parameters of hypercoagulability in non-hypoxic mild COVID-19 patients: a prospective matched study

10.1007/s11239-021-02575-4JOURNAL OF THROMBOSIS AND THROMBOLYSI