Familial Danish dementia (FDD) is pathologically characterized by widespread cerebral amyloid angiopathy (CAA), parenchymal protein deposits, and neurofibrillary degeneration. FDD is associated with a mutation of the BRI2 gene located on chromosome 13. In FDD there is a decamer duplication, which abolishes the normal stop codon, resulting in an extended precursor protein and the release of an a...

We present and implement the concept of Fourier-domain dedispersion (FDD) algorithm, a brute-force incoherent algorithm. This algorithm corrects frequency-dependent dispersion delays in arrival time radio emission from sources such as pulsars fast bursts. Where traditional time-domain algorithms correct using shifts, FDD performs these shifts by applying phase rotations to Fourier-transformed t...

Fault detection and diagnostics (FDD) of district heating substations (DHS) are important activities because malfunctioning components can lead to incorrect billing and waste of energy. Although FDD has been an activate research area for nearly two decades, only a few simple tools are commonly deployed in the district energy industry. Some of the methods proposed in the literature are promising...

This paper considers joint uplink/downlink of an orthogonal frequency division multiple access (OFDMA)-based heterogeneous network (HetNet) consisting of a single macro base station (MBS), multiple femto base stations (FBSs) and access points (APs) where base stations (BSs) can offload data to APs and each mobile user (MU) is able to harvest the received energy using the simultaneous wireless i...

Data-driven fault detection and diagnosis system (FDD) has been proven as simple yet powerful to identify soft abrupt faults in the air conditioning system, leading energy saving. However, challenge is obtain reliable operation data from actual building. Therefore, a lab-scaled centralized chilled water was successfully developed this paper. All necessary sensors were installed generate for dat...

The need for fault detection and diagnosis (FDD) is becoming increasingly important for industrial processes as the complexity of processes increases. A state space model of a counterflow heat exchanger is used as a case study to illustrate the usefulness of energy-based FDD. Energy is regarded as a unifying parameter to uniquely describe the state of the heat exchanger under fault conditions o...

BACKGROUND/AIMS Coronary heart disease is characterized by vascular stenosis or occlusion resulting in myocardial ischemia, hypoxia and necrosis. In China, the combination of aspirin and Fufang Danshen Diwan (FDD), a traditional Chinese medicine formula, has been suggested in the treatment of coronary heart disease. There have been several studies comparing the effectiveness of aspirin alone an...

OBJECTIVES The aim of the study was to assess the prevalence of attention deficit hyperactivity disorder (ADHD) in children presenting with functional defecation disorders (FDDs) and to assess the prevalence of FDDs in children with ADHD. METHODS A cross-sectional cohort study was carried out between September 2014 and May 2016. Group 1: Parents of children with FDDs according to the Rome III...

This paper is devoted to the optimization of the matched filter bounds (MFB) of different co-channel users, using adaptive antenna arrays at base stations for downlink transmit beamforming in cellular mobile communication systems. We mainly consider time division multiple access (TDMA) frequency division duplex (FDD) based systems. Note that in the case of time division duplex (TDD), under cert...

Data-driven machine learning (DDML) methods for the fault diagnosis and detection (FDD) in nuclear power plant (NPP) are of emerging interest recent years. However, there still lacks research on comprehensive reviewing state-of-the-art progress DDML FDD NPP. In this review, classifications, principles, characteristics firstly introduced, which include supervised type, unsupervised so on. Then, ...