Miracle-dz/UniFAR-FTUs huggingface dataset:
Coherent Manipulation of Coupled Electron Spins in Semiconductor Quantum Dots

We demonstrated coherent control of a quantum two-level system based on two-electron spin states in a double quantum dot, allowing state preparation, coherent manipulation, and projective readout. These techniques are based on rapid electrical control of the exchange interaction. Separating and later recombining a singlet spin state provided a measurement of the spin dephasing time, T2*, of ∼10 nanoseconds, limited by hyperfine interactions with the gallium arsenide host nuclei. Rabi oscillations of two-electron spin states were demonstrated, and spin-echo pulse sequences were used to suppress hyperfine-induced dephasing. Using these quantum control techniques, a coherence time for two-electron spin states exceeding 1 microsecond was observed.
Writer Identification Using TF-IDF for Cursive Handwritten Word Recognition

In this paper, we present two text-independent writer identification methods in a closed-world context. Both methods use on-line and off-line features jointly with a classifier inspired from information retrieval methods. These methods are local, respectively based on the character and grapheme levels. This writer identification engine may be used to personalize our cursive word recognition engine~\cite{icfhr2010} to the handwriting style of the writer, resulting in an adaptive cursive word recognizer. Experiments assess the effectiveness of the proposed approaches in a context of writer identification as well as integrated to our cursive word recognizer to make it adaptive.
HotROD: Managing grid storage with on-demand replication

Enterprises (such as, Yahoo! , LinkedIn, Facebook) operate their own compute/storage infrastructure, which is effectively a “private cloud”. The private cloud consists of multiple clusters, each of which is managed independently. With HDFS, whenever data is stored in the cluster, it is replicated within the cluster for availability. Unfortunately, for datasets shared across the enterprise, this leads to the problem of over-replication within the private cloud. An analysis of Yahoo! 's HDFS usage suggests that the disk space consumed due to replication of shared datasets is substantial (viz., to the tune of PB's of storage). New data sets are typically popular and requested by many processing jobs in (different) clusters. This demand is satisfied by copying the dataset to each of the clusters. As data sets age, however, they get used less and become cold. We then have the opposite problem of having data overreplicated across clusters: each cluster has enough replicas to recover from data loss locally, and the sum total of replicas is high. We address both the problems of initially replicating data and cross cluster recovery in a private cloud setting using the same technique: on-demand replication, which we refer to as Hot Replication On-Demand (HotROD). By making files visible across HDFS clusters, we let a cluster pull in remote replicas as needed, both for initial replication and later recovery. We implemented HotROD as an extension to a standard HDFS installation.
Phenomenological Research Methods

Human Science Perspectives and Models Transcendental Phenomenology Conceptual Framework Phenomenology and Human Science Inquiry Intentionality, Noema and Noesis Epoche, Phenomenological Reduction, Imaginative Variation and Synthesis Methods and Procedures for Conducting Human Science Research Phenomenological Research Analyses and Examples Summary, Implications and Outcomes A Phenomenological Analysis
Monitoring disease progression using high‐density motor unit number estimation in amyotrophic lateral sclerosis

In amyotrophic lateral sclerosis (ALS), progressive motor neuron loss causes severe weakness. Functional measurements tend to underestimate the underlying pathology because of collateral reinnervation. A more direct marker of lower motor neuron loss is of significant importance. We evaluated high‐density motor unit number estimation (MUNE), as compared with the ALS Functional Rating Scale (ALSFRS) and maximal compound muscle action potential (CMAP) amplitude, for monitoring and classifying disease progression. MUNE showed good reproducibility (intraclass correlation coefficient = 0.86). MUNE showed a significantly greater decrease than the ALSFRS, the Medical Research Council (MRC) scale, and CMAP amplitude. Patients could be stratified into groups with rapidly or slowly progressive disease based on a decrement in MUNE at 4 months from baseline; ALSFRS score at 8 months was significantly lower in the rapidly progressive group. MUNE was sensitive to motor neuron loss early in the disease course when compared to other clinical measures. Stratification of patients based on a decrease in MUNE seems feasible. Muscle Nerve, 2010
Real-time expressive Internet communications

This research work "Real-time Expressive Internet Communications" focuses on two subjects: One is the investigation of methods of automatic emotion detection and visualisation under real-time Internet communication environment, the other is the analysis of the influences of presenting visualised emotion expressivei mages to Internet users. To detect emotion within Internet communication, the emotion communication process over the Internet needs to be examined. An emotion momentum theory was developed to illustrate the emotion communication process over the Internet communication. It is argued in this theory that an Internet user is within a certain emotion state, the emotion state is changeable by internal and external stimulus (e.g. a received chat message) and time; stimulus duration and stimulus intensity are the major factors influencing the emotion state. The emotion momentum theory divides the emotions expressed in Internet communication into three dimensions: emotion category, intensity and duration. The emotion momentum theory was implemented within a prototype emotion extraction engine. The emotion extraction engine can analyse input text in an Internet chat environment, detect and extract the emotion being communicated, and deliver the parameters to invoke an appropriate expressive image on screen to the every communicating user's display. A set of experiments were carried out to test the speed and the accuracy of the emotion extraction engine. The results of the experiments demonstrated an acceptable performance of the emotion extraction engine. The next step of this study was to design and implement an expressive image generator that generates expressive images from a single neutral facial image. Generated facial images are classified into six categories, and for each category, three different intensities were achieved. Users need to define only six control points and three control shapes to synthesise all the expressive images and a set of experiments were carried out to test the quality of the synthesised images. The experiment results demonstrated an acceptable recognition rate of the generated facial expression images. With the emotion extraction engine and the expressive image generator,a test platform was created to evaluate the influences of emotion visualisation in the Internet communication context. The results of a series of experiments demonstratedthat emotion visualisation can enhancethe users' perceived performance and their satisfaction with the interfaces. The contributions to knowledge fall into four main areas; firstly, the emotion momentum theory that is proposed to illustrate the emotion communication process over the Internet; secondly, the innovations built into an emotion extraction engine, which senses emotional feelings from textual messages input by Internet users; thirdly, the innovations built into the expressive image generator, which synthesises facial expressions using a fast approach with a user friendly interface; and fourthly, the identification of the influence that the visualisation of emotion has on human computer interaction.
INFLUENCE OF FREQUENCY DISTRIBUTION ON INTENSITY FLUCTUATIONS OF NOISE

This article introduces mathematical parameters that generalize the frequency distribution of the statistical and spectral model. We show experiments that determine the influence of these parameters on the intensity fluctuations of the synthesized noise, accordingly to the theory developed by psycho-acoustic works. The main goal of these experiments is to be able to analyse and synthesize bands of noise with different spectral densities.
In presence of risk, what protective factors keep preschool children from displaying conduct problems?

Children that are expressing or are exposed to risk factors experience an elevated risk of developing later psychosocial maladjustment, such as conduct problems. However, all children exposed to risk do not express conduct problems, but develop normally. The aim of the present study was to examine potential protective factors among children exposed to risk, that separate children expressing conduct problem behavior from those who do not. In the study, preschool teachers and parents of 298 three- to five-year-old children participated. Risk factors of the individual, conduct problem behavior, and relationship oriented protective factors were examined. The results indicate that positive peer relationships are important for preschool children´s psychosocial development, while family factors, such as parent's disciplinary style, seem less important.
SIP Multicast-Based Mobile Quality-of-Service Support over Heterogeneous IP Multimedia Subsystems

The Universal Mobile Telecommunications System (UMTS) all-IP network supports IP multimedia services through the IP multimedia subsystem (IMS). This paper proposes a mobile quality-of-service (QoS) framework for heterogeneous IMS interworking. To reduce the handoff disruption time, this framework supports the IMS mobility based on the concept of session initiation protocol (SIP) multicast. In our approach, the mobility of a user equipment (UE) is modeled as a transition in the multicast group membership. With the concept of dynamic shifting of the multicast group's members, the flow of actual data packets can be switched to the new route as quickly as possible. To overcome mobility impact on service guarantees, UEs need to make QoS resource reservations in advance at neighboring IMS networks, where they may visit during the lifetime of the ongoing sessions. These locations become the leaves of the multicast tree in our approach. To obtain more efficient use of the scarce wireless bandwidth, our approach allows UEs to temporarily exploit the inactive bandwidths reserved by other UEs in the current IMS/access network. Analytic and simulation models are developed to investigate our resource reservation scheme. The results indicate that our scheme yields comparable performance to that of the previously proposed channel assignment schemes.
Medial Geniculate, Amygdalar and Cingulate Cortical Training-Induced Neuronal Activity during Discriminative Avoidance Learning in Rabbits with Auditory Cortical Lesions

This study addressed the neural mediation of discriminative avoidance learning, wherein rabbits step in a wheel apparatus in response to an acoustic conditional stimulus, the CS+, to avoid a foot shock, and they learn to ignore a different stimulus, the CS−, not followed by foot shock. Previously, muscimol-induced inactivation of the amygdala in the first session of training prevented learning during the inactivation and permanently blocked the development of discriminative training-induced neuronal activity (TIA) in the medial division of the medial geniculate nucleus (MGm). These results suggested that amygdalar neurons induce discriminative TIA in the MGm via basolateral (BL) amygdalar axonal projections to the auditory cortex. To test this hypothesis, the activity of neurons in the MGm was recorded during learning in rabbits with lesions of the auditory cortex. Recordings were also made in the lateral and BL amygdalar nuclei and in the cingulate cortex. In support of the hypothesis, discriminative learning in rabbits with lesions was impaired significantly during early training sessions 1–4; in these same sessions, discriminative TIA was abolished in the MGm, the BL nucleus, and the anterior cingulate cortex. The lesions also blocked posterior cingulate cortical discriminative TIA in training sessions 1–2 but spared TIA in sessions 3–7. Lateral amygdalar neurons showed gradual development of discrimination that was not significantly affected by the lesions. The results demonstrate a critical role of auditory cortex in early discriminative learning and in the production of early discriminative TIA in multiple areas.
Platelet-derived Growth Factor Stimulates Membrane Lipid Synthesis Through Activation of Phosphatidylinositol 3-Kinase and Sterol Regulatory Element-binding Proteins*

We analyzed the transcriptional program elicited by stimulation of normal human fibroblasts with platelet-derived growth factor (PDGF) using cDNA microarrays. 103 significantly regulated transcripts that had not been previously linked to PDGF signaling were identified. Among them, a cluster of genes involved in fatty acid and cholesterol biosynthesis, including stearoyl-CoA desaturase (SCD), fatty acid synthase, and hydroxymethylglutaryl-CoA synthase (HMGCS), was up-regulated by PDGF after 24 h of treatment, and their expression correlated with increased membrane lipid production. These genes are known to be controlled by sterol regulatory element-binding proteins (SREBP). PDGF increased the amount of mature SREBP-1 and regulated the promoters of SCD and HMGCS in an SREBP-dependent manner. In line with these results, blocking SREBP processing by addition of 25-hydroxycholesterol blunted the effects of PDGF on lipogenic enzymes. SREBP activation was dependent on the phosphatidylinositol 3-kinase (PI3K) pathway, as judged from the effects of the inhibitor LY294002 and mutation of the PDGFβ receptor tyrosines that bind the PI3K adaptor subunit p85. Fibroblast growth factors (FGF-2 and FGF-4) and other growth factors mimicked the effects of PDGF on NIH3T3 and human fibroblasts. In conclusion, our results suggest that growth factors induce membrane lipid synthesis via the activation SREBP and PI3K.
Graphene Field‐Effect Transistors for the Sensitive and Selective Detection of Escherichia coli Using Pyrene‐Tagged DNA Aptamer

This study reports biosensing using graphene field‐effect transistors with the aid of pyrene‐tagged DNA aptamers, which exhibit excellent selectivity, affinity, and stability for Escherichia coli (E. coli) detection. The aptamer is employed as the sensing probe due to its advantages such as high stability and high affinity toward small molecules and even whole cells. The change of the carrier density in the probe‐modified graphene due to the attachment of E. coli is discussed theoretically for the first time and also verified experimentally. The conformational change of the aptamer due to the binding of E. coli brings the negatively charged E. coli close to the graphene surface, increasing the hole carrier density efficiently in graphene and achieving electrical detection. The binding of negatively charged E. coli induces holes in graphene, which are pumped into the graphene channel from the contact electrodes. The carrier mobility, which correlates the gate voltage to the electrical signal of the APG‐FETs, is analyzed and optimized here. The excellent sensing performance such as low detection limit, high sensitivity, outstanding selectivity and stability of the graphene biosensor for E. coli detection paves the way to develop graphene biosensors for bacterial detection.
Research in Industrial Projects for Students 1 Project Proposal : The Disambiguation Problem Industrial Partner : Lawrence Livermore National Laboratory Industrial

Disambiguation deals with the problem of detecting and consolidating redundant data (such as data with misspellings, missing information, or invalid information). Disambiguation is essential for maintaining data quality and has been investigated in a variety of fields such as artificial intelligence and databases. Two major challenges for this problem are accuracy (e.g. AUC) and speed (e.g. the number of data points consolidated per second). Of course, values for accuracy and spend depend not only on the chosen approach but also on the size of data and complexity of the concept being disambiguated. We frame the disambiguation problem as follows:
Genius: The Natural History of Creativity

Introduction 1. The nature of genius 2. Genius and intelligence 3. Creativity: measurement and personality correlates 4. Intuition and the unconscious 5. Conditions for excellence 6. The nature of psychopathology: psychotism 7. The roots of creativity 8. From DNA to creativity and genius References Index.
DiamondSpin: an extensible toolkit for around-the-table interaction

DiamondSpin is a toolkit for the efficient prototyping of and experimentation with multi-person, concurrent interfaces for interactive shared displays. In this paper, we identify the fundamental functionality that tabletop user interfaces should embody, then present the toolkit's architecture and API. DiamondSpin provides a novel real-time polar to Cartesian transformation engine that has enabled new, around-the-table interaction metaphors to be implemented. DiamondSpin allows arbitrary document positioning and orientation on a tabletop surface. Polygonal tabletop layouts such as rectangular, octagonal, and circular tabletops can easily be constructed. DiamondSpin also supports multiple work areas within the same digital tabletop. Multi-user operations are offered through multi-threaded input event streams, multiple active objects, and multiple concurrent menus. We also discuss insights on tabletop interaction issues we have observed from a set of applications built with DiamondSpin.
Zebrafish Larvae Exhibit Rheotaxis and Can Escape a Continuous Suction Source Using Their Lateral Line

Zebrafish larvae show a robust behavior called rheotaxis, whereby they use their lateral line system to orient upstream in the presence of a steady current. At 5 days post fertilization, rheotactic larvae can detect and initiate a swimming burst away from a continuous point-source of suction. Burst distance and velocity increase when fish initiate bursts closer to the suction source where flow velocity is higher. We suggest that either the magnitude of the burst reflects the initial flow stimulus, or fish may continually sense flow during the burst to determine where to stop. By removing specific neuromasts of the posterior lateral line along the body, we show how the location and number of flow sensors play a role in detecting a continuous suction source. We show that the burst response critically depends on the presence of neuromasts on the tail. Flow information relayed by neuromasts appears to be involved in the selection of appropriate behavioral responses. We hypothesize that caudally located neuromasts may be preferentially connected to fast swimming spinal motor networks while rostrally located neuromasts are connected to slow swimming motor networks at an early age.
White Matter and Hippocampal Volume Predict the Risk of Dementia in Patients with Cerebral Small Vessel Disease: The RUN DMC Study.

BACKGROUND The relationship between cerebral small vessel disease (SVD) and dementia has been studied without considering white matter (WM) volume, the microstructural integrity of the WM surrounding the SVD, and grey matter (GM). OBJECTIVE We prospectively investigated the relationship between these structures and the risk of dementia, and formed a prediction model to investigate which characteristics (macro- or microstructural) explained most of the variance. METHODS The RUN DMC study is a prospective cohort study among 503 non-demented participants with an age between 50 and 85 years at baseline, with baseline assessment in 2006 and follow-up assessment in 2012. Two were lost to follow-up (yielding a 99.6% response-rate). Cox regression analysis was used, to calculate hazard ratios for dementia, of baseline MRI characteristics. Tract-Based Spatial Statistics (TBSS) analysis was used to assess the added value of microstructural integrity of the WM. RESULTS Mean age at baseline was 65.6 years (SD 8.8) and 56.8% was male. 43 participants developed dementia (8.6%), resulting in a 5.5-year cumulative risk of 11.1% (95% CI 7.7-14.6). Low WM and hippocampal volume are significant predictors for dementia. WM, WM hyperintensities, and hippocampal volume explained most of the variance. TBSS analyses showed no additional value of diffusion parameters. CONCLUSIONS WM and hippocampal volume were the main predictors for the development of incident dementia at 5-year follow-up in elderly with SVD. There was no additional diagnostic value of the diffusion tensor imaging parameters on top of the macrostructural characteristics.
Pilot Health Promoting Hospital in rural South Africa: evidence-based approach to systematic hospital transformation

This project aimed at transforming a rural District Hospital in the Limpopo Province of South Africa into a Health Promoting Hospital according to standards developed by WHO-Europe. The intervention used a diagnostic approach and baseline needs assessment of hospital staff, patients, and their relatives to identify health education and promotion needs. Activities included empowerment training and skills development, implementation of health education and promotion activities, and the integration of health-promoting standards and values in the hospital structure and culture. The project indicated applicability of the model in a resource-limited setting, based on staff empowerment, local leadership, and stakeholder engagement.
Echoing emotions: reactions to emotional displays in intergroup context

The findings of the current dissertation show that emotional displays in particular negative emotional displays bring individuals together when they share group membership, but drive individuals apart when they do not share group membership. Intergroup interactions can be emotional, and if members of different groups do not respond empathically to the emotional signals of the other person, the interaction will not run smoothly and the relationship with the other person may suffer. This conclusion may appear to suggest that emotions only have a negative effect on intergroup relations. Not all emotions have this effect, however. Happiness displays can overcome group boundaries, and individuals converge to outgroup happiness to the same extent as they do to ingroup happiness sometimes even more so. This shows that while some emotions can signal distancing, other emotions can signal affiliation, even if there is an initial distance or dissimilarity with the other person. If people become aware of the different effects of their emotions, they may respond to the emotional displays of strangers more appropriately.
Automated Anatomy-Based Tracking of Systemic Arteries in Arbitrary Field-of-View CTA Scans

We propose an automated pipeline for vessel centerline extraction in 3-D computed tomography angiography (CTA) scans with arbitrary fields of view. The principal steps of the pipeline are body part detection, candidate seed selection, segment tracking, which includes centerline extraction, and vessel tree growing. The final tree-growing step can be instantiated in either a semi- or fully automated fashion. The fully automated initialization is carried out using a vessel position regression algorithm. Both semi-and fully automated methods were evaluated on 30 CTA scans comprising neck, abdominal, and leg arteries in multiple fields of view. High detection rates and centerline accuracy values for 38 distinct vessels demonstrate the effectiveness of our approach.