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Болезнь Паркинсона (БП) - это прогрессирующее нейродегенеративное двигательное расстройство, которое возникает в основном в результате гибели дофаминергических нейронов в черной субстанции. Хотя этиология БП изучена не полностью, недавнее открытие генов, связанных с редкими моногенными формами заболевания, вместе с более ранними исследованиями и новыми экспериментальными моделями на животных, предоставило...
An unmanned vehicle is envisioned for multi-modal operation, first as an aircraft, then as an underwater glider. The benefits of a “Flying Sea Glider” are for high-speed flying ingress above the water and then maneuvering in an area of interest as a low-speed, long-endurance underwater glider. This development builds on previous NRL research in multi-modal designs and bio-inspired propulsion systems,...
High false alarm rates on active sonar systems in shallow waters is a well known problem which may be a limiting factor for the sonar performance. One way to reduce the false alarm rate is through supervised learning and machine learning algorithms applying relevant classification features. Here we propose backscatter intensity as a classification feature. It is calculated from a topographical map...
The human oral cavity is an important habitat of microbes in the human body. It includes the colonization of various microorganisms such as bacteria, archaea, fungi, protozoa and viruses. Although oral diseases have been studied for decades, we have limited understanding of the boundaries of a healthy oral ecosystem and ecological shift toward dysbiosis. Here, we analyzed salivary microbiomes from...
Understanding the nature of many diseases, including cancer, requires locating somatically acquired rearrangements corresponding to large-scale chromosomal aberrations. Computational methods to detect inter-chromosomal rearrangements based on next-generation sequencing platforms face the big challenge of accurately predicting the location of sites spanned by a typically small number of reads, while...
Breast cancer is the most common type of invasive cancer in females. It accounts for 18.2% of all cancer deaths worldwide. Although somatic mutations play important roles in cancer development and prognosis, the outcome predictions are largely based on the expression of marker genes. We submit that developing an innovative prognostic model incorporating somatic mutations with gene expression can improve...
Solar race cars require compact components operating at high efficiency. This paper proposes the use of a coreless axial flux permanent magnet machine, which has the attributes of low stator mass, negligible core loss and virtually zero cogging torque, as the propulsion motor. A three-phase inverter with its dc bus fed from a three-port DC/DC converter, which accepts inputs from a solar panel and...
Pulmonary adenocarcinoma in situ (AIS) is an intermediate subtype of lung adenocarcinoma that exhibits non-invasive growth patterns, but can develop into invasive. Almost 100% of AIS patients can be cured with complete resection. In contrast, the five-year survival rate for those diagnosed with invasive lung adenocarcinoma is only about 4%. In order to get a better understanding of adenocarcinoma...
Modern file systems employ journaling techniques to guarantee data consistency in case of unexpected system crashes or power failures. However, journaling file systems usually suffer from performance decrease due to the extra journal writes. Moreover, the emerging non-volatile memory technologies (NVMs) have the potential capability to improve the performance of journaling file systems by being deployed...
3D architectures are considered the most promising approach to continuously increasing memory density and reducing cost/bit for NAND flash memory by stacking more layers. However, 3D MLC flash memory brings two serious problems, referred to as cell-to-cell program disturbance and big block problem. To solve the disturbance problem for better reliability, we proposed a Disturbance Compensation Programming...
Generally speaking, basic real-time measurements collected from different control centers have a time delay due to the transmission delay and data exchanges in the energy management system (EMS). Measurement errors resulting from both the raw measurement noise and time delay have undesirable effect on power system dynamic state estimation (DSE). In order to reduce measurement errors, accurate measurement...
Recently, an efficient damped pseudo transient analysis method was proposed to find DC solutions for nonlinear circuits. However, the simulation efficiency is still not satisfactory. In this paper, for different kinds of circuits, we get some groups of PTRAN algorithm control parameters values by using a parameter optimization algorithm for pseudo-transient analysis to obtain higher efficiency during...
Spectrum sharing environment permits secondary users (SUs) to utilize radio spectrum of primary users (PUs) but creates cross-interference between SUs and PUs. Moreover, jamming signal is useful in improving information security by deliberately corrupting received signals at eavesdroppers. The current paper presents an analytical framework on communication reliability and information security, which...
Ecological inference (EI) is a classical problem from political science to model voting behavior of individuals given only aggregate election results. Flaxman et al. recently formulated EI as machine learning problem using distribution regression, and applied it to analyze US presidential elections. However, distribution regression unnecessarily aggregates individual-level covariates available from...
In this paper, we present a co-simulation framework that combines two main simulation tools, one that provides detailed multiple building energy simulation ability with Energy-Plus being the core engine, and the other one that is a distribution level simulator, Matpower. Such a framework can be used to develop and study district level optimization techniques that exploit the interaction between a...
Solar photovoltaic (PV) renewable energy systems are undergoing major technological developments and large-scale field deployment and electric grid integration. This paper proposes a method of expanding the capacity of an existing irrigation farm with additional pumps powered by solar PV. The system includes PV arrays and battery energy storage connected to a common dc bus, which energizes an array...
With the rapid development of information technology, campus card has become an important part of the construction of digital campus. Based on the campus card to build a user behavior analysis system, which can help the school to master the student school of learning, consumption and rest behavior. This article discusses the specific behavior of campus card consumption and the data mining and analysis...
Multi Level Cell (MLC) Spin Transfer Torque RAM (STT-RAM) provides higher density than Single Level Cell (SLC) STT-RAM by storing two digital bits in a single cell, and is proposed as a promising candidate for on-chip cache. However, MLC STT-RAM suffers from high write energy. We observe that general encoding methods, which map the frequent data patterns to the energy-efficient resistance states,...
Quality model is regarded as a well-accepted approach for assessing, managing and improving software product quality. There are three categories of quality models for software products, i.e., definition model, assessment model, and prediction model. Quality assessment model (QAM) is a metric-based approach to assess the software quality. It is typically regarded as of high importance for its clear...
In this paper, we focus on containment control problem for discrete-time multi-agent systems (MASs). More specifically, the MASs are nonlinear systems and they are modeled by discrete-time Takagi-Sugeno (T-S) fuzzy systems. A fuzzy control protocol with a nonlinear feedback control law in each control rule is introduced, which is based on the data collected from the local agent and its neighbors....
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