713 research outputs found
Oligocene–Miocene carbonates in the Reed Bank area, South China Sea, and their tectono-sedimentary evolution
Evaluating the performance of Chinese commercial banks:A comparative analysis of different types of banks
This paper examines the cost and profit efficiency of four types of Chinese commercial banks over the period from 2002 to 2013. We find that the cost and profit efficiencies improved across all types of Chinese domestic banks in general and the banks are more profit-efficient than cost efficient. Foreign banks are the most cost efficient but the least profit efficient. The profit efficiency gap between foreign banks and domestic banks has widened after the World Trade Organization transition period (2007–2013). Ownership structure, market competition, bank size, and listing status are the main determinants of the efficiency of Chinese banks. We also find a causal relationship between efficiency and SROE by using the panel auto regression method. The evidence from the shadow return on equity (SROE) suggests that policy makers should be cautious of the adjustment costs imposed by the recapitalization process, which offsets the efficiency gains
Influence of Melatonin on Cerebrovascular Proinflammatory Mediators Expression and Oxidative Stress Following Subarachnoid Hemorrhage in Rabbits
The aim of this study is to analyze whether melatonin administration influenced the nuclear factor-kappa B (NF-κB) activity, proinflammatory cytokines expression, and oxidative response in the basilar artery after SAH. A total of 48 rabbits were randomly divided into four groups: control group, SAH group, SAH + vehicle group, and SAH + melatonin group. All SAH animals were subjected to injection of autologous blood into cisterna magna twice on day 0 and day 2. The melatonin was administered intraperitoneally at a dose of 5 mg/kg/12 h simultaneously with SAH from day 0 to day 5. The basilar arteries were extracted on day 5 after SAH. As a result, we found that vascular inflammation and oxidative stress were induced in all SAH animals. In animals given melatonin, basilar arterial NF-κB and pro-inflammatory cytokines were decreased in comparison to vehicle-treated animals. Measures of oxidative stress also showed significant downregulation after melatonin treatment. Furthermore, administration of melatonin prevented vasospasm on day 5 following SAH. In conclusion, post-SAH melatonin administration may attenuate inflammatory response and oxidative stress in the spasmodic artery, and this may be one mechanism involved in the therapeutic effect of melatonin on the subsequent vasospasm after SAH
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction
Although deep pre-trained language models have shown promising benefit in a
large set of industrial scenarios, including Click-Through-Rate (CTR)
prediction, how to integrate pre-trained language models that handle only
textual signals into a prediction pipeline with non-textual features is
challenging.
Up to now two directions have been explored to integrate multi-modal inputs
in fine-tuning of pre-trained language models. One consists of fusing the
outcome of language models and non-textual features through an aggregation
layer, resulting into ensemble framework, where the cross-information between
textual and non-textual inputs are only learned in the aggregation layer. The
second one consists of splitting non-textual features into fine-grained
fragments and transforming the fragments to new tokens combined with textual
ones, so that they can be fed directly to transformer layers in language
models. However, this approach increases the complexity of the learning and
inference because of the numerous additional tokens.
To address these limitations, we propose in this work a novel framework
BERT4CTR, with the Uni-Attention mechanism that can benefit from the
interactions between non-textual and textual features while maintaining low
time-costs in training and inference through a dimensionality reduction.
Comprehensive experiments on both public and commercial data demonstrate that
BERT4CTR can outperform significantly the state-of-the-art frameworks to handle
multi-modal inputs and be applicable to CTR prediction
Preparation of porous diatomite-templated carbons with large adsorption capacity and mesoporous zeolite K-H as a byproduct
Artificial Micromotors in the Mouse’s Stomach: A Step toward in Vivo Use of Synthetic Motors
Artificial micromotors, operating on locally supplied fuels and performing complex tasks, offer great potential for diverse biomedical applications, including autonomous delivery and release of therapeutic payloads and cell manipulation. Various types of synthetic motors, utilizing different propulsion mechanisms, have been fabricated to operate in biological matrices. However, the performance of these man-made motors has been tested exclusively under in vitro conditions (outside the body); their behavior and functionalities in an in vivo environment (inside the body) remain unknown. Herein, we report an in vivo study of artificial micromotors in a living organism using a mouse model. Such in vivo evaluation examines the distribution, retention, cargo delivery, and acute toxicity profile of synthetic motors in mouse stomach via oral administration. Using zinc-based micromotors as a model, we demonstrate that the acid-driven propulsion in the stomach effectively enhances the binding and retention of the motors as well as of cargo payloads on the stomach wall. The body of the motors gradually dissolves in the gastric acid, autonomously releasing their carried payloads, leaving nothing toxic behind. This work is anticipated to significantly advance the emerging field of nano/micromotors and to open the door to in vivo evaluation and clinical applications of these synthetic motors
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