Miracle-dz/UniFAR-FTUs huggingface dataset:
Charge Transfer Between Quantum Dots and Peptide-Coupled Redox Complexes

Abstract : Nanotechnology has great potential for creating a new generation of multifunctional hybrid bio-inorganic assemblies that are capable of enhancing Navy capabilities and DoD battle systems in general. The unique properties of luminescent quantum dots (QDs) have made them an integral building block in this burgeoning field. In addition to their well known size-dependent emission spectra, QDs are extremely sensitive to the presence of additional charges either on their surfaces or in the surrounding environment, which can alter both their photoluminescence (PL) and absorption properties Since the advent of successful techniques to interface QDs with biological molecules, there has been a strong desire to understand the interactions of QDs with redox-active complexes to create new sensors capable of monitoring specific biological and abiotic processes. However, as there is only a minimal understanding of these systems, rational design of QD-redox assemblies with control over both architecture and redox levels is needed to provide insight into the underlying mechanisms. Here we label peptides with a variety of metal complexes expressing different oxidation potentials and ratiometrically self-assemble them on the QD surfaces. This unique configuration allows us to gain insights into the under-lying quenching processes involved and exploit them for biosensing.
Reduction in Cells of Quantum-Dot Cellular Automata in Perspective of NOT Gate

Quantum-dot cellular automata is the new hope in reducing size and power consumption of switching devices used for high density circuits of present era. This paper presents reduction of cells used for NOT gate of this technology existing presently. The circuit has been implemented using QCA designer and is validated and verified with various possible input and output conditions.
ACODEA: A Framework for the Development of Classification Schemes for Automatic Classifications of Online Discussions

: Research related to online discussions frequently faces the problem of analyzing huge corpora. Natural Language Processing technologies may allow automating the analysis. However, the state-of-the-art in machine learning and text mining approaches yields models that do not transfer well between corpora related to different topics. Also segmenting is a necessary step, but frequently, trained models are very sensitive to the particulars of the segmentation that was used when the model was trained. Therefore, in prior published research on text classification in a CSCL context, the data has been segmented by hand. We discuss work towards overcoming these challenges. We present a framework for developing coding schemes optimized for automatic segmentation and topic independent coding that builds on this segmentation. Our results show that our coding scheme can be fully automated by using a tool called SIDE. Finally, we discuss how fully automated analysis can enable context-sensitive support for collaborative learning.
A retrospective evaluation of associations between chronic obstructive pulmonary disease, smoking, and efficacy of chemotherapy and selected laboratory parameters in patients with advanced non-small cell lung cancer

Aim of the study To was to determine the impact of chronic obstructive pulmonary disease (COPD) and active smoking on the efficacy of chemotherapy and complete blood count (CBC) in patients with non-small cell lung cancer (NSCLC). Material and methods The retrospective evaluation included 50 patients with stage IIIB–IV NSCLC, who started cisplatin-based chemotherapy. Peripheral blood CBC values were collected for testing before chemotherapy and after the first and third cycles. Results COPD was diagnosed in 49% of patients, while 42% of those enrolled were current smokers. Current smoking (p = 0.92) and COPD (p = 0.91) status did not affect the response to treatment. The non-COPD population presented a significantly higher pretreatment absolute lymphocyte count (ALC) than the COPD population (2.31 vs. 1.81 × 109/l; p = 0.0374). Also, only the non-COPD group demonstrated an elevated absolute monocyte count (AMC) following the first and third cycles of chemotherapy (p = 0.004). In current smokers, pretreatment values for white blood cells (WBC), absolute neutrophil count (ANC), and platelets (PLT) were higher than in the ex-smoker population (WBC 9.94 vs. 8.7 (× 109/l); p = 0.01; ANC 6.47 vs. 5.61 (× 109/l); p = 0.037; PLT 316 vs. 266 (× 109/l); p = 0.049). Ex-smokers demonstrated AMC level elevation after the first cycle of chemotherapy and PLT level elevation after the third cycle, while current smokers also demonstrated an early decrease in LMR. Conclusions COPD and smoking induce chronic systemic inflammation and oxidative stress, which influence the results of standard laboratory tests, but do not change the response rate of lung cancer on chemotherapy.
Object Extraction and Classification in Video Surveillance Applications

In this paper we review a number of methods used in video surveillance applications in order to detect and classify threats. Moreover, the use of those methods in wireless surveillance networks contributes to decreasing the energy consumption of the devices because it reduces the amount of information transferred through the network. In this paper we focus on the most popular object extraction and classification methods that are used in both wired and wireless surveillance applications. We also develop an application for identification of objects from video data by implementing the selected methods and demonstrate the performance of these methods on pre-recorded videos using the outputs of this application.
Blind Multiuser Detection for UWB Systems Based on Generalized Sidelobe Canceller

This paper focuses on blind multiuser detection for ultra-wideband (UWB) systems over unknown multipath channels. Unlike conventional approaches, we propose a scheme based on generalized sidelobe canceller (GSC) due to its robustness and low complexity. In our work, a GSC array is employed to collect the multipath signals and suppress multiuser interference (MUI). Afterward, the unknown UWB multipath channel is estimated by eigenvalue decomposition (EVD), and a MMSE combiner is designed. Compared to other methods, the proposed approach can achieve satisfied performance with less computational cost, as simulations indicate
A strategy to capture and characterize the synaptic transcriptome

Here we describe a strategy designed to identify RNAs that are actively transported to synapses during learning. Our approach is based on the characterization of RNA transport complexes carried by molecular motor kinesin. Using this strategy in Aplysia, we have identified 5,657 unique sequences consisting of both coding and noncoding RNAs from the CNS. Several of these RNAs have key roles in the maintenance of synaptic function and growth. One of these RNAs, myosin heavy chain, is critical in presynaptic sensory neurons for the establishment of long-term facilitation, but not for its persistence.
Benefits of system-oriented IGBT module design for high power inverters

Although today IGBT modules with blocking voltages up to 6500 V are available there are many applications that require the design of inverters with ratings close to or even beyond 1 MVA with 1200 V or 1700 V devices. The requirement to connect to the low voltage grid, system requirements for high switching frequency or voltage limits for associated system components may restrict the use of higher voltage inverters. On the other hand using lower voltage devices may result in lower cost because these devices are manufactured in larger quantities. Typical applications for such inverters are industrial variable speed drives, UPS-systems, heavy duty commercial vehicles as well as grid connection of microturbines or renewable energy systems like windmills or large solar farms. Designing power electronic circuits to switch currents in the range of several 1000 A within fractions of a microsecond is a demanding task for every engineer and requires a sound knowledge how to transform the implications of Maxwells laws into blueprints for busbars. Paralleling of smaller units helps to minimize stray inductances but unfortunately creating the new task of ensuring proper current sharing. Beside these technical challenges the power electronic designer is more and more faced with cost targets difficult to meet. In the beginning of power electronics, with the power semiconductor devices being the biggest item in the quantity survey, it was wise to address this just by trying squeeze as much current out of it as possible. Today with power semiconductors getting less expensive and other components raising in cost it may be advantageous to optimize in a different way.
GluR1 Controls Dendrite Growth through Its Binding Partner, SAP97

Activity-dependent dendrite elaboration influences the pattern of interneuronal connectivity and network function. In the present study, we examined the mechanism by which the GluR1 subunit of AMPA receptors controls dendrite morphogenesis. GluR1 binds to SAP97, a scaffolding protein that is a component of the postsynaptic density, via its C-terminal 7 aa. We find that elimination of this interaction in vitro or in vivo (by deleting the C-terminal 7 aa of GluR1, GluR1Δ7) does not influence trafficking, processing, or cell surface GluR1 expression but does prevent translocation of SAP97 from the cytosol to membranes. GluR1 and SAP97 together at the plasma membrane promotes dendrite branching in an activity-dependent manner, although this does not require physical association. Our findings suggest that the C-terminal 7 aa of GluR1 are essential for bringing SAP97 to the plasma membrane, where it acts to translate the activity of AMPA receptors into dendrite growth.
Event-based control for IPTD processes with simple tuning methods

The event-based control of Integrator Plus Time Delay (IPTD) processes is investigated in this study. A two Degree-Of-Freedom (2-DOF) structure with simple tuning methods is proposed to cope with the set-point tracking and the load disturbance rejection tasks. A stability analysis is conducted and a simple tuning methodology is provided. Simulation results prove the effectiveness of the approach.
A new gene (DYX3) for dyslexia is located on chromosome 2

Developmental dyslexia is a specific reading disability affecting children and adults who otherwise possess normal intelligence, cognitive skills, and adequate schooling. Difficulties in spelling and reading may persist through adult life. Possible localisations of genes for dyslexia have been reported on chromosomes 15 (DYX1), 6p21.3-23 (DYX2), and 1p over the last 15 years. Only the localisation to 6p21.3-23 has been clearly confirmed and a genome search has not previously been carried out. We have investigated a large Norwegian family in which dyslexia is inherited as an autosomal dominant trait. A genome wide search for linkage with an average 20 cM marker density was initiated in 36 of the 80 family members. The linkage analysis was performed under three different diagnostic models. Linkage analysis in the family identified a region in 2p15-p16 which cosegregated with dyslexia. Maximum lod scores of 3.54, 2.92, and 4.32 for the three different diagnostic models were obtained. These results were confirmed by a non-parametric multipoint GENEHUNTER analysis in which the most likely placement of the gene was in a 4 cM interval between markers D2S2352 and D2S1337. Localisation of a gene for dyslexia to 2p15-16, together with the confirmed linkage to 6p21.3-23, constitute strong evidence for genetic heterogeneity in dyslexia. Since no gene for dyslexia has been isolated, little is known about the molecular processes involved. The isolation and molecular characterisation of this newly reported gene on chromosome 2 (DYX3) andDYX1 will thus provide new and exciting insights into the processes involved in reading and spelling.
A Computational Approach towards a Gene Regulatory Network for the Developing Nematostella vectensis Gut

Background The starlet sea anemone Nematostella vectensis is a diploblastic cnidarian that expresses a set of conserved genes for gut formation during its early development. During the last decade, the spatial distribution of many of these genes has been visualized with RNA hybridization or protein immunolocalization techniques. However, due to N. vectensis' curved and changing morphology, quantification of these spatial data is problematic. A method is developed for two-dimensional gene expression quantification, which enables a numerical analysis and dynamic modeling of these spatial patterns. Methods/Result In this work, first standardized gene expression profiles are generated from publicly available N. vectensis embryo images that display mRNA and/or protein distributions. Then, genes expressed during gut formation are clustered based on their expression profiles, and further grouped based on temporal appearance of their gene products in embryonic development. Representative expression profiles are manually selected from these clusters, and used as input for a simulation-based optimization scheme. This scheme iteratively fits simulated profiles to the selected profiles, leading to an optimized estimation of the model parameters. Finally, a preliminary gene regulatory network is derived from the optimized model parameters. Outlook While the focus of this study is N. vectensis, the approach outlined here is suitable for inferring gene regulatory networks in the embryonic development of any animal, thus allowing to comparatively study gene regulation of gut formation in silico across various species.
Pauses and respiratory markers of the structure of book reading

The automatic reading of books by text-to-speech synthesizers requires not only the adequate encoding of the many levels of information and discourse structures in the acoustic signals but also the proper patterns of breathing, so that to pace information and organize discourse at an ecological rhythm. We analyze here the locations and durations of near 4,000 pauses produced by voice donor who has read several audiobooks, freely available on the web. Since the voice was recorded by a close microphone, we also characterized the acoustic markers of inhalation and show that the delay between end of phonation and air intake can be considered as an additional marker of thematic continuity between the two adjacent speech chunks that complements well-documented prosodic cues such as the preboundary tone and lengthening or the pause duration.
Multiple phosphorylated variants of the high molecular mass subunit of neurofilaments in axons of retinal cell neurons: characterization and evidence for their differential association with stationary and moving neurofilaments

The 200-kD subunit of neurofilaments (NF-H) functions as a cross-bridge between neurofilaments and the neuronal cytoskeleton. In this study, four phosphorylated NF-H variants were identified as major constituents of axons from a single neuron type, the retinal ganglion cell, and were shown to have characteristics with different functional implications. We resolved four major Coomassie Blue-stained proteins with apparent molecular masses of 197, 200, 205, and 210 kD on high resolution one- dimensional SDS-polyacrylamide gels of mouse optic axons (optic nerve and optic tract). Proteins with the same electrophoretic mobilities were radiolabeled within retinal ganglion cells in vivo after injecting mice intravitreally with [35S]methionine or [3H]proline. Extraction of the radiolabeled protein fraction with 1% Triton X-100 distinguished four insoluble polypeptides (P197, P200, P205, P210) with expected characteristics of NF-H from two soluble neuronal polypeptides (S197, S200) with few properties of neurofilament proteins. The four Triton- insoluble polypeptides displayed greater than 90% structural homology by two-dimensional alpha-chymotryptic iodopeptide map analysis and cross-reacted with four different monoclonal and polyclonal antibodies to NF-H by immunoblot analysis. Each of these four polypeptides advanced along axons primarily in the Group V (SCa) phase of axoplasmic transport. By contrast, the two Triton-soluble polypeptides displayed only a minor degree of alpha-chymotryptic peptide homology with the Triton-insoluble NF-H forms, did not cross-react with NF-H antibodies, and moved primarily in the Group IV (SCb) wave of axoplasmic transport. The four NF-H variants were generated by phosphorylation of a single polypeptide. Each of these polypeptides incorporated 32P when retinal ganglion cells were radiolabeled in vivo with [32P]orthophosphate and each cross-reacted with monoclonal antibodies specifically directed against phosphorylated epitopes on NF-H. When dephosphorylated in vitro with alkaline phosphatase, the four variants disappeared, giving rise to a single polypeptide with the same apparent molecular mass (160 kD) as newly synthesized, unmodified NF-H. The NF-H variants distributed differently along optic axons. P197 predominated at proximal axonal levels; P200 displayed a relatively uniform distribution; and P205 and P210 became increasingly prominent at more distal axonal levels, paralleling the distribution of the stationary neurofilament network. (ABSTRACT TRUNCATED AT 400 WORDS)
High-Resolution Sequence-Function Mapping of Full-Length Proteins

Comprehensive sequence-function mapping involves detailing the fitness contribution of every possible single mutation to a gene by comparing the abundance of each library variant before and after selection for the phenotype of interest. Deep sequencing of library DNA allows frequency reconstruction for tens of thousands of variants in a single experiment, yet short read lengths of current sequencers makes it challenging to probe genes encoding full-length proteins. Here we extend the scope of sequence-function maps to entire protein sequences with a modular, universal sequence tiling method. We demonstrate the approach with both growth-based selections and FACS screening, offer parameters and best practices that simplify design of experiments, and present analytical solutions to normalize data across independent selections. Using this protocol, sequence-function maps covering full sequences can be obtained in four to six weeks. Best practices introduced in this manuscript are fully compatible with, and complementary to, other recently published sequence-function mapping protocols.
Role of Emotion Recognition in Computive Assistive Learning for Autistic Person

Objectives: Computer Assisted Learning (CAL) methods are extensively used to provide assistance to individual’s suffering from Autism Spectrum Disorder (ASD). Computer assisted technology has proved to be one of the powerful support tools to aid person suffering from cognitive disabilities to improve their daily life conditions. However, the individual’s suffering from Autism lack the ability to interpret emotions and hence are unable to respond to other person’s emotion. CAL techniquescan assist these individuals in improving their social behaviour. Method/Statistical Analysis: The statistical analysis has been performed that showsincrease in the count of individuals suffering from autism in recent years. To enhance the condition of such individual’s several CAL techniques have been implemented. This paper describes the analysis of varied CAL techniques implemented to improve the daily life conditions of such special people. Finding: The review combines the published documentation to explicate the benefits of implementing computer assisted learning (CAL) in the field of recognizing emotions and educating such special people about skills essential to perform daily life activities. Applications/Improvements: CAL techniques comprise of varied applications that emphasize on enhancing the communication, behavioural and social skills of such special children. However, person suffering from autism is unable to recognize emotions due to lack of social skills. Therefore, there is quintessential need of developing an efficient emotion recognition system for such special individuals.
Ordering Selection Operators Under Partial Ignorance

Optimising queries in real-world situations under imperfect conditions is still a problem that has not been fully solved. We consider finding the optimal order in which to execute a given set of selection operators under partial ignorance of their selectivities. The selectivities are modelled as intervals rather than exact values and we apply a concept from decision theory, the minimisation of the maximum regret, as a measure of optimality. The associated decision problem turns out to be NP-hard, which renders a brute-force approach to solving it impractical. Nevertheless, by investigating properties of the problem and identifying special cases which can be solved in polynomial time, we gain insight that we use to develop a novel heuristic for solving the general problem. We also evaluate minmax regret query optimisation experimentally, showing that it outperforms a currently employed strategy of optimisers that uses mean values for uncertain parameters.
CMB ANISOTROPY CONSTRAINTS ON FLAT-Λ AND OPEN CDM COSMOGONIES FROM DMR, UCSB SOUTH POLE, PYTHON, ARGO, MAX, WHITE DISH, OVRO, AND SuZIE DATA

We use joint likelihood analyses of combinations of fifteen cosmic microwave background (CMB) anisotropy data sets from the DMR, UCSB South Pole 1994, Python I–III, ARGO, MAX 4 and 5, White Dish, OVRO, and SuZIE experiments to constrain cosmogonies. We consider open and spatially-flat-Λ cold dark matter cosmogonies, with nonrelativistic-mass density parameter Ω0 in the range 0.1–1, baryonic-mass density parameter ΩB in the range (0.005–0.029)h-2, and age of the universe t0 in the range (10–20) Gyr. Marginalizing over all parameters but Ω0, the data favor Ω0 ≃ 0.9–1 (0.4–0.6) flat-Λ (open) models. The range in deduced Ω0 values is partially a consequence of the different combinations of smaller-angular-scale CMB anisotropy data sets used in the analyses, but more significantly a consequence of whether the DMR quadrupole moment is accounted for or ignored in the analysis. While the open model is difficult to reconcile with the results of analyses of more recent CMB anisotropy data, the lower values of Ω0 found in this case are more easily reconciled with dynamical estimates of this parameter. For both flat-Λ and open models, after marginalizing over all other parameters, a lower ΩBh2 ≃ 0.005–0.009 is favored. This is also marginally at odds with estimates from more recent CMB anisotropy data and some estimates from standard nucleosynthesis theory and observed light element abundances. For both sets of models a younger universe with t0 ≃ 12–15 Gyr is favored, consistent with other recent non-CMB indicators. We emphasize that we have performed an exact analysis (i.e. from data to parameter likelihoods without the intermediate step of data compression into band powers), and since we consider only a small number of data sets, these results are tentative. More importantly, the analyses here do not rule out the currently favored flat-Λ model with Ω0 ~ 0.3, nor the larger ΩBh2 values favored by some other data.
Calibrating Charisma: The many-facet Rasch model for leader measurement and automated coaching

No one is a leader unless others follow. Consequently, leadership is fundamentally a social judgment construct, and may be best measured via a Many Facet Rasch Model designed for this purpose. Uniquely, the MFRM allows for objective, accurate and precise estimation of leader attributes, along with identification of rater biases and other distortions of the available information. This presentation will outline a mobile computer-adaptive measurement system that measures and develops charisma, among others. Uniquely, the approach calibrates and mass-personalizes artificially intelligent, Rasch-calibrated electronic coaching that is neither too hard nor too easy but “just right” to help each unique leader develop improved charisma.