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| 1 | Personalized synthetic lethality induced by targeting RAD52 in leukemias identified by gene mutation and expression profile显示文摘 | Kimberly Cramer-Morales Margaret Nieborowska-Skorska Kara Scheibner Michelle Padget David A. Irvine Tomasz Sliwinski Kimberly Haas Jaewoong Lee Huimin Geng Darshan Roy Artur Slupianek Feyruz V. Rassool Mariusz A. Wasik Wayne Childers Mhairi Copland Markus | 2013 | Blood2013，，7： | 1 |
| 2 | Advance in Matrix Effect Study of LA-MC-ICPMS U-Pb Dating on U-Bearing Oxide Minerals显示文摘Objective With the development of analytic technologies,in-situ dating on U-bearing oxide minerals(e.g.,cassiterite,rutile and baddeleyite)has been widely used in geological chronological researches and has attracted remarkable attention to explore evolution of the earth and obtain age information of various geological processes.Matrix | CUI Yurong TU Jiarun GENG Jianzhen YE Lijuan ZHOU Hongying LI Huimin | 2018 | Acta Geologica Sinica(English Edition)2018，92，4： | 1 |
| 3 | Dynamic simulation of tropical coral reef ecosystem being disturbed by multiple situations显示文摘In consideration of the rapid degradation of coral reef ecosystems, the establishment of models is helpful to comprehend the degradation mechanism of coral reef ecosystems and predict the development process of coral reef communities. According to the characteristics of complex ecosystem of tropical coral reefs in China, the coral reef functional group is the core level variable;combined with the multiple feedback effects of coral reef functional groups and environmental changes, the study presents a coral reef ecosystem dynamics model with hermatypic corals as the core. Based on the simulation of the assumed initial value and the internal feedback of the system, the results show that in the basic simulation(relative health conditions), the coverage area of live corals and coral reefs generally decreased first and then increased, and increased by 4.67% and 6.38% between2010 and 2050, respectively. Based on the calibration model and the current situation of the studied area, the multi-factor disturbance effects of coral reef communities were simulated and explored by setting up three scenarios involving fishing policy, terrestrial deposition, and inorganic nitrogen emissions. Among them, in the single factor disturbance, the fishing policy exerts the most direct impact on the community decline;and the succession phenomenon is obvious;the terrestrial sedimentation has a faster and more integrated effect on the community decline;the effect of inorganic nitrogen emission on the community decline is relatively slow. In the double/multi-factor disturbance, the superimposed disturbance will aggravate the multi-source feedback effect of the coral reef communities development, accelerate the community decay rate, and make its development trajectory more complicated and diverse. This method provides a scientific and feasible method for simulating the damage of long-term coral reef community and exploring the development law and adaptive management of coral reef ecosystems. In the future, it can be further studied in the ecological restoration process and decisionmaking direction of coral reefs. | Geng Wang Rui Dong Huimin Xu Dewen Ding | 2021 | Acta Oceanologica Sinica2021，40，9： | 1 |
| 4 | Co‑packaged optics(CPO):status,challenges,and solutions显示文摘Due to the rise of 5G,IoT,AI,and high-performance computing applications,datacenter trafc has grown at a compound annual growth rate of nearly 30%.Furthermore,nearly three-fourths of the datacenter trafc resides within datacenters.The conventional pluggable optics increases at a much slower rate than that of datacenter trafc.The gap between application requirements and the capability of conventional pluggable optics keeps increasing,a trend that is unsustainable.Copackaged optics(CPO)is a disruptive approach to increasing the interconnecting bandwidth density and energy efciency by dramatically shortening the electrical link length through advanced packaging and co-optimization of electronics and photonics.CPO is widely regarded as a promising solution for future datacenter interconnections,and silicon platform is the most promising platform for large-scale integration.Leading international companies(e.g.,Intel,Broadcom and IBM)have heavily investigated in CPO technology,an inter-disciplinary research feld that involves photonic devices,integrated circuits design,packaging,photonic device modeling,electronic-photonic co-simulation,applications,and standardization.This review aims to provide the readers a comprehensive overview of the state-of-the-art progress of CPO in silicon platform,identify the key challenges,and point out the potential solutions,hoping to encourage collaboration between diferent research felds to accelerate the development of CPO technology. | Min Tan Jiang Xu Siyang Liu Junbo Feng Hua Zhang Chaonan Yao Shixi Chen Hangyu Guo Gengshi Han Zhanhao Wen Bao Chen Yu He Xuqiang Zheng Da Ming Yaowen Tu Qiang Fu Nan Qi Dan Li Li Geng Song Wen Fenghe Yang Huimin He Fengman Liu Haiyun Xue Yuhang Wang Ciyuan Qiu Guangcan Mi Yanbo Li Tianhai Chang Mingche Lai Luo Zhang Qinfen Hao Mengyuan Qin | 2023 | Frontiers of Optoelectronics2023，16，1： | 1 |
| 5 | In situ LA-MC-ICP-MS and ID-TIMS U–Pb geochronology of cassiterite in the giant Furong tin deposit, Hunan Province, South China: New constraints on the timing of tin–polymetallic mineralization显示文摘 | Shunda Yuan Jiantang Peng Shuang Hao Huimin Li Jianzhen Geng Dongliang Zhang | 2011 | Ore Geology Reviews2011，，1： | 1 |
| 6 | Cotton GhBRC1 regulates branching,flowering,and growth by integrating multiple hormone pathways显示文摘Cotton architecture is partly determined by shoot branching and flowering patterns.Gh BRC1 was previously identified by RNA-seq analysis of nulliplex-branching and normal-branching cotton.However,the roles of Gh BRC1 in cotton remain unclear.In the present study,investigations of nuclear localization and transcriptional activity indicated that Gh BRC1 has characteristics typical of transcription factors.Gene expression analysis showed that Gh BRC1 was highly expressed in axillary buds but displayed different expression patterns between the two branching types.Overexpression of Gh BRC1 in Arabidopsis significantly inhibited the number of branches and promoted flowering.In contrast,silencing Gh BRC1 in cotton significantly promoted seedling growth.Gh BRC1 was induced by multiple hormones,including strigolactones,which promoted seedling growth and seed germination of Arabidopsis plants overexpressing Gh BRC1.Consistent with these findings,RNA-seq analysis of virus-induced gene silencing treated cotton revealed that a large number of genes were differentially expressed between Gh BRC1-silenced and control plants,and these genes were significantly enriched in plant hormone signalling pathways.Together,our data indicates that Gh BRC1 regulates plant branching and flowering through multiple regulatory pathways,especially those regulating plant hormones,with functions partly differing from those of Arabidopsis BRC1.These results provide insights into the molecular mechanisms controlling plant architecture,which is important for breeding cotton with ideal plant architecture and high yield. | Quan Sun Yuanhui Xie Huimin Li Jinlei Liu Rui Geng Ping Wang Zongyan Chu Ying Chang Guanjun Li Xiao Zhang Youlu Yuan Yingfan Cai | 2022 | The Crop Journal2022，10，1： | 0 |
| 7 | Synthesis and Gelation Capability of Fmoc and Boc Mono-substituted Cyclo(L-Lys-L-Lys)s显示文摘 | ZONG Qianying GENG Huimin YE Lin ZHANG Aiying SHAO Ziqiang FENG Zengguo | 2016 | Chemical Research in Chinese Universities2016，32，3： | 0 |
| 8 | Data-Driven User Complaint Prediction for Mobile Access Networks显示文摘In this paper,we present a user-complaint prediction system for mobile access networks based on network monitoring data.By applying machine-learning models,the proposed system can relate user complaints to network performance indicators,alarm reports in a data-driven fashion,and predict the complaint events in a fine-grained spatial area within a specific time window.The proposed system harnesses several special designs to deal with the specialty in complaint prediction;complaint bursts are extracted using linear filtering and threshold detection to reduce the noisy fluctuation in raw complaint events.A fuzzy gridding method is also proposed to resolve the inaccuracy in verbally described complaint locations.Furthermore,we combine up-sampling with down-sampling to combat the severe skewness towards negative samples.The proposed system is evaluated using a real dataset collected from a major Chinese mobile operator,in which,events due to complaint bursts account approximately for only 0:3%of all recorded events.Re-sults show that our system can detect 30%of complaint bursts 3 h ahead with more than 80%precision.This will achieve a corresponding proportion of quality of experi-ence improvement if all predicted complaint events can be handled in advance through proper network maintenance. | Huimin Pan Sheng Zhou Yunjian Jia Zhisheng Niu Meng Zheng Lu Geng | 2018 | Journal of Communications and Information Networks2018，3，3： | 0 |
| 9 | GAAF:Searching Activation Functions for Binary Neural Networks Through Genetic Algorithm显示文摘Binary neural networks(BNNs)show promising utilization in cost and power-restricted domains such as edge devices and mobile systems.This is due to its significantly less computation and storage demand,but at the cost of degraded performance.To close the accuracy gap,in this paper we propose to add a complementary activation function(AF)ahead of the sign based binarization,and rely on the genetic algorithm(GA)to automatically search for the ideal AFs.These AFs can help extract extra information from the input data in the forward pass,while allowing improved gradient approximation in the backward pass.Fifteen novel AFs are identified through our GA-based search,while most of them show improved performance(up to 2.54%on ImageNet)when testing on different datasets and network models.Interestingly,periodic functions are identified as a key component for most of the discovered AFs,which rarely exist in human designed AFs.Our method offers a novel approach for designing general and application-specific BNN architecture.GAAF will be released on GitHub. | Yanfei Li Tong Geng Samuel Stein Ang Li Huimin Yu | 2023 | Tsinghua Science and Technology2023，28，1： | 0 |
| 10 | Analysis on the Construction and Operation Mode of Internet Hospitals显示文摘Internet + medical health have become anational key strategy, and the industries of medicalinformation have ushered in new development.Internet hospitals have broken through the limitationsof diagnosis and treatment. Diagnosis, doctor’seducation, family doctors, and post-hospital trackinghave been introduced to the Internet hospital system,the whole process of medical management serviceincluding ‘health management, diagnosis, in-hospital,rehabilitation’ has been gradually established,and coordinating to the medical resources, familydoctors and channels of medicine, to realize the realcirculation of medical resources. The authors screenedsix Internet hospitals and comprehensively analyzedtheir construction and operation modes, with a viewto providing reference for the construction of Internethospitals. | Lianggang Nie Liangquan He Geng Lan Huimin He | 2019 | Proceedings of Business and Economic Studies2019，2，6： | 0 |
| 11 | Gelation capability of cysteine-modified cyclo(L-Lys-L-Lys)s dominated by Fmoc and Trt protecting groups显示文摘A series of symmetrical peptidomimetics(3–8) based on cysteine-modified cyclo(L-Lys-L-Lys)s were synthesized, and their gelation capability in organic solvents was dominated by fluorenylmethyloxycarbonyl(Fmoc) and triphenylmethyl(Trt) protecting groups and the exchange of thiol-to-disulfide as well. The peptidomimetics holding Trt(3 and 4) showed no gel performance, while the Fmoc groups promoted 5 and 6 to give rise to thermo-reversible organogels in a number of organic solvents. The self-assembled fibrillar networks were distinctly evidenced in the organogels by transmission electron microscopy(TEM) and scanning electron microscopy(SEM) observations. Fourier transform infrared spectroscopy(FT-IR) and fluorescence analyses revealed that the hydrogen bonding and ?-? stacking play as major driving forces for the self-assembly of these organogelators. A ?-turn secondary structure was deduced for the organogel of 6 by virtue of X-ray diffraction, FT-IR and circular dichroism(CD) measurements, and an interdigitated bilayer structure was also presented. | Huimin Geng Qianying Zong Jie You Lin Ye Aiying Zhang Ziqiang Shao Zengguo Feng | 2016 | Science China Chemistry2016，59，3： | 0 |
| 12 | A Dynamic Memory Allocation Optimization Mechanism Based on Spark显示文摘Spark is a distributed data processing framework based on memory.Memory allocation is a focus question of Spark research.A good memory allocation scheme can effectively improve the efficiency of task execution and memory resource utilization of the Spark.Aiming at the memory allocation problem in the Spark2.x version,this paper optimizes the memory allocation strategy by analyzing the Spark memory model,the existing cache replacement algorithms and the memory allocation methods,which is on the basis of minimizing the storage area and allocating the execution area according to the demand.It mainly including two parts:cache replacement optimization and memory allocation optimization.Firstly,in the storage area,the cache replacement algorithm is optimized according to the characteristics of RDD Partition,which is combined with PCA dimension.In this section,the four features of RDD Partition are selected.When the RDD cache is replaced,only two most important features are selected by PCA dimension reduction method each time,thereby ensuring the generalization of the cache replacement strategy.Secondly,the memory allocation strategy of the execution area is optimized according to the memory requirement of Task and the memory space of storage area.In this paper,a series of experiments in Spark on Yarn mode are carried out to verify the effectiveness of the optimization algorithm and improve the cluster performance. | Suzhen Wang Shanshan Geng Zhanfeng Zhang Anshan Ye Keming Chen Zhaosheng Xu Huimin Luo Gangshan Wu Lina Xu Ning Cao | 2019 | Computers, Materials & Continua2019，，8： | 0 |
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