Quick System-Level DDR3 Signal Integrity Simulation Research

Double data rate synchronous dynamic random access memory （DDR3） has become one of the most mainstream applications in current server and computer systems. In order to quickly set up a system-level signal integrity （SI） simulation flow for the DDR3 interface, two system-level SI simulation methodologies, which are board-level S-parameter extraction in the frequency-domain and system-level simulation assumptions in the time domain, are introduced in this paper. By comparing the flow of Speed2000 and PowerSI/Hspice, PowerSI is chosen for the printed circuit board （PCB） board-level S-parameter extraction, while Tektronix oscilloscope （TDS7404） is used for the DDR3 waveform measurement. The lab measurement shows good agreement between simulation and measurement. The study shows that the combination of PowerSI and Hspice is recommended for quick system-level DDR3 SI simulation.

Signal and Power Integrity Challenges for High Density System-on-Package

As the increasing desire for more compact,portable devices outpaces Moore’s law,innovation in packaging and system design has played a significant role in the continued miniaturization of electronic systems.Integrating more active and passive components into the package itself,as the case for system-on-package(SoP),has shown very promising results in overall size reduction and increased performance of electronic systems.With this ability to shrink electrical systems comes the many challenges of sustaining,let alone improving,reliability and performance.The fundamental signal,power,and thermal integrity issues are discussed in detail,along with published techniques from around the industry to mitigate these issues in SoP applications.

ROS-hormone interaction in regulating integrative défense signaling of plant cell

The elaborate redox network of the cell,comprising of events like turnover of reactive oxygen species(ROS),redox sensing,signaling,expression of redox-sensitive genes,etc.,often orchestrates with other bonafide hormonal signaling pathways through their synergistic or antagonistic action in the plant cell.The redox cue generated in plant cells under fluctuating environmental conditions can significantly influence other hormonal biosynthetic or signaling mechanisms,thereby modulating physiology towards stress acclimation and defense.There is also strong evidence of the recruitment of ROS as a‘second messenger’in different hormonal signaling pathways under stress.Moreover,the retrograde signaling initiated by ROS also found to strongly influence hormonal homeostasis and signaling.The present review,in this aspect,is an effort towards understanding the regulatory roles of ROS in integrating and orchestrating other hormonal signaling pathways or vice versa so as to unfold the relationship between these two signaling episodes of plant cells under environmental odds.We also accentuate the significance of understanding the utterly complex interactions,which occur both at metabolic and genetic levels between ROS and phytohormones during stress combinations.Furthermore,the significant and decisive role of ROS turnover,particularly the contribution of RBOH(respiratory burst oxidase homologs)in the synergism of redox and hormone signaling during systemic acquired acclimation under stress is also discussed.

Integration of omics studies indicates that species-dependent molecular mechanisms govern male fertility

Background Comparative and comprehensive omics studies have recently been conducted to provide a comprehensive understanding of the biological mechanisms underlying infertility.However,because these huge omics datasets often contain irrelevant information,editing strategies for summarizing and filtering the data are necessary prerequisite steps for identifying biomarkers of male fertility.Here,we attempted to integrate omics data from spermatozoa with normal and below-normal fertility from boars and bulls,including transcriptomic,proteomic,and metabolomic data.Pathway enrichment analysis was conducted and visualized using g:Profiler,Cytoscape,EnrichmentMap,and AutoAnnotation to determine fertility-related biological functions according to species.Results In particular,gamete production and protein biogenesis-associated pathways were enriched in bull spermatozoa with below-normal fertility,whereas mitochondrial-associated metabolic pathways were enriched in boar spermatozoa with normal fertility.These results indicate that below-normal fertility may be determined by aberrant regulation of protein synthesis during spermatogenesis,and the modulation of reactive oxygen species generation to maintain capacitation and the acrosome reaction governs boar sperm fertility.Conclusion Overall,this approach demonstrated that distinct molecular pathways drive sperm fertility in mammals in a species-dependent manner.Moreover,we anticipate that searching for species-specific signaling pathways may aid in the discovery of fertility-related biomarkers within large omics datasets.

Development of an Intelligent Vehicle Experiment System

Existing vehicle experiment systems tend to focus on the research of vehicle dynamics by conducting performance tests on every system or some parts of the vehicle so as to improve the entire performance of the vehicle. Virtual technology is widely utilized in various vehicle test-beds. These test-beds are mainly used to simulate the driving training, conduct the research on drivers＇ behaviors, or give virtual demonstrations of the transportation environment. However, the study on the active safety of the running vehicle in the virtual environment is still insufficient. A virtual scene including roads and vehicles is developed by using the software Creator and Vega, and radars and cameras are also simulated in the scene. Based on dSPACE＇s rapid prototyping simulation and its single board DS1103, a simulation model including vehicle control signals is set up in MATLAB/Simulink, the model is then built into C code, and the system defined file（SDF） is downloaded to the DS1103 board through the experiment debug software ControlDesk and is kept running. Programming is made by mixing Visual C＋＋ 6.0, MATLAB API and Vega API. Control signals are read out by invoking library function MLIB/MTRACE of dSPACE. All the input, output, and system state values are acquired by arithmetic and are dynamically associated with the running status of the virtual vehicle. An intelligent vehicle experiment system is thus developed by virtue of program and integration. The system has not only the demonstration function, such as general driving, cruise control, active avoiding collision, but also the function of virtual experiment. Parameters of the system can be set according to needs, and the virtual test results can be analyzed and studied and used for the comparison with the existing models. The system reflects the running of the intelligent vehicle in the virtual traffic environment, at the same time, the system is a new attempt performed on the intelligent vehicle travel research and provides also a new research method for the development of intelligent vehicles.

Analysis and Countermeasure for Latch-up of CMOS Device in Electronic System Design

Considering the phenomenon of Latch-up in CMOS device,some patterns of manifestation about Latch-up in electronic system are analyzed with three actual circuits,meanwhile the correlative solving methods are also provided. To avoid Latch-up,some general principles are proposed. The analyzing and solving processes derived from practical system design are verified simple and ef-fective in large number of products,and to some extend have general reference value in anti-latch-up design of application systems.

Expanding Roles of PIFs in Signal Integration from Multiple Processes

PHYTOCHROME-INTERACTING FACTORs （PIFs） are members of the basic helix-loop-helix （bHLH） family of transcription factors in Arabidopsis. Since their discovery in phytochrome-mediated light signaling pathways, recent studies have unraveled new functions of PIFs in integrating multiple signaling pathways not only through their role as transcription factors directly targeting gene expression but also by interacting with diverse groups of factors to optimize plant growth and development. These include endogenous （e.g., hormonal） as well as abiotic （light, circadian, and elevated temperature） and biotic （defense responses） pathways. PIFs interact with key factors in each of these pathways and tailor the outcome of the signal integration among these pathways. This review discusses the roles of PIFs as pivotal signal integrators in regulating plant growth and development.

Polarization multiplexing QPSK signal transmission in optical wireless-over f iber integration system at W-band

We propose and experimentally demonstrate a novel scheme to realize polarization-division-multiplexing quadrature-phase-shift-keying （PDM-QPSK） signal transmission over fiber, wireless and fiber at Wband （75-110 GHz）. The generation of polarization multiplexing millimeter-wave （mm-wave） wireless signal is based on the photonic technique. After 20-km fiber transmission, polarization diversity and heterodyne beating are implemented to convert the polarization components of the polarization-multiplexing signals from the optical baseband to W-band so that up to 16 Gb/s mm-wave signals can be delivered over 2-m 2~2 multiple-input multiple-output （MIMO） wireless link. At the receiver base station （BS）, polarization combination reconstructs the PDM-QPSK signal which is then launched into another 20-km fiber. In the experiment, coherent detection is introduced to improve receiver sensitivity and constant modulus algorithm （CMA） is applied for polarization de-multiplexing. The bit-error-ratio （BER） for 16-Gb/s PDM- QPSK signal delivery is below the forward-error-correction （FEC） threshold of 3.8× 10-3 with the optical signal-to-noise ratio （OSNR） above 11.8 dB.

Insulin-like signaling pathway regulates integration and learning in C. elegans

Animals can sense many environment stimuli simultaneously and integrate these signals within the nervous system. However, the neural system and molecular

An Electromagnetic Perspective of Artificial Intelligence Neuromorphic Chips

The emergence of artificial intelligence has represented great potential in solving a wide range of complex problems.However,traditional general-purpose chips based on von Neumann architectures face the“memory wall”problem when applied in artificial intelligence applications.Based on the efficiency of the human brain,many intelligent neuromorphic chips have been proposed to emulate its working mechanism and neuron-synapse structure.With the emergence of spiking-based neuromorphic chips,the computation and energy efficiency of such devices could be enhanced by integrating a variety of features inspired by the biological brain.Aligning with the rapid development of neuromorphic chips,it is of great importance to quickly initiate the investigation of the electromagnetic interference and signal integrity issues related to neuromorphic chips for both CMOS-based and memristor-based artificial intelligence integrated circuits.Here,this paper provides a review of neuromorphic circuit design and algorithms in terms of electromagnetic issues and opportunities with a focus on signal integrity issues,modeling,and optimization.Moreover,the heterogeneous structures of neuromorphic circuits and other circuits,such as memory arrays and sensors using different integration technologies,are also reviewed,and locations where signal integrity might be compromised are discussed.Finally,we provide future trends in electromagnetic interference and signal integrity and outline prospects for upcoming neuromorphic devices.

Light Perception:A Matter of Time

Optimizing the perception of external cues and regulating physiology accordingly help plants to cope with the constantly changing environmental conditions to which they are exposed.An array of photoreceptors and intricate signaling pathways allow plants to convey the surrounding light information and synchronize an endogenous timekeeping system known as the circadian clock.This biological clock integrates multiple cues to modulate a myriad of downstream responses,timing them to occur at the best moment of the day and the year.Notably,the mechanism underlying entrainment of the light-mediated clock is not clear.This review addresses known interactions between the light-signaling and circadian-clock networks,focusing on the role of light in clock entrainment and known molecular players in this process.