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sRNA EsrE Is Transcriptionally Regulated by the Ferric Uptake Regulator Fur in Escherichia coli
Bingbing Hou,Xichen Yang,Hui Xia,Haizhen Wu,Jiang Ye,Huizhan Zhang 한국미생물·생명공학회 2020 Journal of microbiology and biotechnology Vol.30 No.1
Small RNAs (sRNAs) are widespread and play major roles in regulation circuits in bacteria. Previously, we have demonstrated that transcription of esrE is under the control of its own promoter. However, the regulatory elements involved in EsrE sRNA expression are still unknown. In this study, we found that different cis-regulatory elements exist in the promoter region of esrE. We then screened and analyzed seven potential corresponding trans-regulatory elements by using pull-down assays based on DNA affinity chromatography. Among these candidate regulators, we investigated the relationship between the ferric uptake regulator (Fur) and the EsrE sRNA. Electrophoresis mobility shift assays (EMSAs) and β-galactosidase activity assays demonstrated that Fur can bind to the promoter region of esrE, and positively regulate EsrE sRNA expression in the presence of Fe2+.
SPPT: Siamese Pyramid Pooling Transformer for Visual Object Tracking
Fang Yang,Xie Bailian,Jiang Bingbing,Ke Xuhui,LI YAN 한국컴퓨터산업협회 2023 Human-centric Computing and Information Sciences Vol.13 No.-
Recently, visual transformer-based tracking has achieved significant success owing to its effective attention modeling strategies and global context feature extraction. However, most transformer trackers are based on the canonical Siamese and correlation-based tracking paradigm, which comprises three stages: feature extraction, feature fusion, and similarity function learning. This paradigm is speculated to weaken the cross-correlation between the template and search features while increasing the computational cost of the tracking model. Hence, we propose a Siamese pyramid pooling transformer (SPPT) to implement a one-stream end-to-end visual object tracking framework with two newly proposed modules: an iterative pooling attention-based feature extraction and correlation (P-FEC) module and an iterative enhanced correlation block (ECB). The P-FEC module can simultaneously perform feature extraction and correlation, whereas the ECB can enhance feature integration and target-aware feature embedding learning. The SPPT has a much shorter attention sequence length, fewer parameters, and fewer floating-point operations per second (FLOPs) than existing transformer-based trackers. Extensive experiments on the LaSOT, TrackingNet, and GOT-10k benchmarks demonstrate that our proposed SPPT tracker achieves state-of-the-art tracking performance in terms of precision and success scores, as compared with most convolutional neural network-based and transformer-based trackers.
An Eye Location based Head Posture Recognition Method and Its Application in Mouse Operation
( Zhe Chen ),( Bingbing Yang ),( Fuliang Yin ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.3
An eye location based head posture recognition method is proposed in this paper. First, face is detected using skin color method, and eyebrow and eye areas are located based on gray gradient in face. Next, pupil circles are determined using edge detection circle method. Finally, head postures are recognized based on eye location information. The proposed method has high recognition precision and is robust for facial expressions and different head postures, and can be used in mouse operation. The experimental results reveal the validity of proposed method.
Wu, Weihua,Yang, Qinghai,Li, Bingbing,Kwak, Kyung Sup The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.5
In this paper, we investigate the resource allocation problem in time-varying heterogeneous wireless networks (HetNet) with multi-homing user equipments (UE). The stochastic optimization model is employed to maximize the network utility, which is defined as the difference between the HetNet's throughput and the total energy consumption cost. In harmony with the hierarchical architecture of HetNet, the problem of stochastic optimization of resource allocation is decomposed into two subproblems by the Lyapunov optimization theory, associated with the flow control in transport layer and the power allocation in physical (PHY) layer, respectively. For avoiding the signaling overhead, outdated dynamic information, and scalability issues, the distributed resource allocation method is developed for solving the two subproblems based on the primal-dual decomposition theory. After that, the adaptive resource allocation algorithm is developed to accommodate the timevarying wireless network only according to the current network state information, i.e. the queue state information (QSI) at radio access networks (RAN) and the channel state information (CSI) of RANs-UE links. The tradeoff between network utility and delay is derived, where the increase of delay is approximately linear in V and the increase of network utility is at the speed of 1/V with a control parameter V. Extensive simulations are presented to show the effectiveness of our proposed scheme.
Weihua Wu,Qinghai Yang,Bingbing Li,곽경섭 한국통신학회 2016 Journal of communications and networks Vol.18 No.5
In this paper, we investigate the resource allocation prob-lemin time-varying heterogeneous wireless networks (HetNet) withmulti-homing user equipments (UE). The stochastic optimizationmodel is employed tomaximize the network utility, which is definedas the difference between the HetNet’s throughput and the total en-ergy consumption cost. In harmony with the hierarchical architec-ture of HetNet, the problem of stochastic optimization of resourceallocation is decomposed into two subproblems by the Lyapunovoptimization theory, associated with the flow control in transportlayer and the power allocation in physical (PHY) layer, respec-tively. For avoiding the signaling overhead, outdated dynamic in-formation, and scalability issues, the distributed resource alloca-tion method is developed for solving the two subproblems based onthe primal-dual decomposition theory. After that, the adaptive re-source allocation algorithm is developed to accommodate the time-varying wireless network only according to the current networkstate information, i.e. the queue state information (QSI) at radioaccess networks (RAN) and the channel state information (CSI) ofRANs-UE links. The tradeoff between network utility and delay isderived, where the increase of delay is approximately linear in Vand the increase of network utility is at the speed of 1/V with acontrol parameter V . Extensive simulations are presented to showthe effectiveness of our proposed scheme.
Zipeng Gong,Ying Chen,Ruijie Zhang,Qing Yang,Yajie Wang,Yan Guo,Bingbing Zhou,Xiaogang Weng,Xuchen Liu,Yujie Li,Xiaoxin Zhu,Yu Dong 대한약학회 2015 Archives of Pharmacal Research Vol.38 No.10
Berberine is one of active alkaloids from Rhizomacoptidis in traditional Chinese medicine. The pharmacokineticsof berberine in rat plasma were compared betweennormal and chronic visceral hypersensitivity irritable bowelsyndrome rats (CVH-IBS) established by mechanical colonirritation using angioplasty balloons for 2 weeks after oraladministration of berberine hydrochloride (25 mg/kg) withthe equivalent dose of 22 mg/kg for berberine according tobody weight. Immunohistochemical analysis of c-fos andmyosin light chain kinase (MLCK) and immunofluorescenceanalysis of MLCK in rat colon were conducted. Quantificationof berberine in rat plasma was achieved by using a sensitiveand rapidUPLC-MS/MSmethod. Plasma samples werecollected at 15 different points in time and the pharmacokineticparameters were analyzed by WinNonlin software. Thegreat different pharmacokinetic behavior of berberine wasobserved between normal and CVH-IBS model rats. Compared with normal group, T1/2 and AUC(0–t) of berberinein the model group were significantly increased, respectively(573.21 ± 127.53 vs 948.22 ± 388.57 min; 8,657.19 ±1,562.54 vs 11,415.12 ± 1,670.72 min.ng/ml). Cl/F of berberinein the model group significantly decreased, respectively(13.89 ± 1.69 vs 9.19 ± 2.91 L/h/kg). Additionally,the expressions of c-fos and MLCK in model group werehigher than those in normal group. The pharmacokinetic behaviorof berberine was significantly altered in CVH-IBSpathological conditions, which indicated the dosage modificationof berberine hydrochloride in CVH-IBS were necessary. Especially, improved exposure to berberine in ratplasma inCVH-IBSmodel rats was attributed to increased theexpression of MLCK.