Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceiving Faces: Too Much, Too Fast?—Face Specificity in Response Caution

Faces are a major source of information in social interaction. The ability to perceive and interpret faces thus carries paramount importance in people’s social lives. However, this crucial ability is not yet fully understood. Individual differences studies show that the speed and accuracy of face cognition (including perception and memory/recognition), the two facets targeted when measuring cognitive performance, are relatively independent traits. Unlike accuracy data, individual differences in reaction times (RTs) measured in perceptual decision tasks with or without memory load using faces and objects, do not show face-specific variance. Here, we applied the diffusion model to RT and accuracy data captured by simple perceptual decision tasks to improve understanding of the lack of face specificity. If performance speed in face cognition tasks is truly a global, nonspecific individual ability, no parameter of the diffusion model should hold face specificity. In a study on adults (N = 217), we administered two tasks of face and object perception. We used individually estimated diffusion model parameters as manifest variables to study face specificity in drift rate (&ngr;), boundary separation (a), and nondecision time (Ter) using structural equation modeling. Furthermore, to study differential relationships between diffusion model parameters and measures of cognitive abilities, we regressed factors of face and object cognition accuracy on factors of diffusion model parameters. The results revealed face specificity only in boundary separation. This suggests face-specific adjustment in the cautiousness of information processing.
Embolic stroke of undetermined source and patent foramen ovale closure: Practice insights from meta‐analysis?

Closure of patent foramen ovale (PFO) in embolic stroke of undetermined source (ESUS) reduces recurrent stroke compared with antiplatelet therapy in select patients but increases risk of atrial fibrillation. Device closure is an attractive option for young patients with an anatomically higher risk PFO and imaging proven ESUS. Benefit of PFO closure in ESUS compared with oral anticoagulation remains undefined.
Multiple Graph Regularized Concept Factorization With Adaptive Weights

Many traditional concept factorization methods employ single graph to approximate the manifold structure of data. Therefore, they cannot capture the underlying geometric structure hidden in data effectively. In this paper, we propose a novel method, called Multiple graph regularized Concept Factorization with Adaptive Weights (MCFAWs), for data representation. It exploits the intrinsic geometric manifold of the data by the linear combination of multiple graphs with parameter free. Therefore, our proposed MCFAW method can be applied to many real problems. Besides, an efficient optimization algorithm is presented to solve the proposed model. Some experimental results on the benchmarks show that the proposed MCFAW method outperforms the state-of-the-art methods.
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval

The research on hashing techniques for visual data is gaining increased attention in recent years due to the need for compact representations supporting efficient search/retrieval in large-scale databases such as online images. Among many possibilities, Mean Average Precision(mAP) has emerged as the dominant performance metric for hashing-based retrieval. One glaring shortcoming of mAP is its inability in balancing retrieval accuracy and utilization of hash codes: pushing a system to attain higher mAP will inevitably lead to poorer utilization of the hash codes. Poor utilization of the hash codes hinders good retrieval because of increased collision of samples in the hash space. This means that a model giving a higher mAP values does not necessarily do a better job in retrieval. In this paper, we introduce a new metric named Mean Local Group Average Precision (mLGAP) for better evaluation of the performance of hashing-based retrieval. The new metric provides a retrieval performance measure that also reconciles the utilization of hash codes, leading to a more practically meaningful performance metric than conventional ones like mAP. To this end, we start by mathematical analysis of the deficiencies of mAP for hashing-based retrieval. We then propose mLGAP and show why it is more appropriate for hashing-based retrieval. Experiments on image retrieval are used to demonstrate the effectiveness of the proposed metric.
Sistema de prototipado para multirotores

The main theme of this project is to develop an autopilot for the Raspberry Pi + Navio2 hardware and implement it in the Raspberry Pi and in MATLAB® + SIMULINK® . The autopilot will be divided in two parts, on the one hand, it will be a software reading and sending the sensor measurement from the Raspberry Pi to MATLAB® , where a motor mixer and a estimator will be implemented.
Real-time monitoring and gradient feedback enable accurate trimming of ion-implanted silicon photonic devices.

Fabrication errors pose significant challenges on silicon photonics, promoting post-fabrication trimming technologies to ensure device performance. Conventional approaches involve multiple trimming and characterization steps, impacting overall fabrication complexity. Here we demonstrate a highly accurate trimming method combining laser annealing of germanium implanted silicon waveguide and real-time monitoring of device performance. Direct feedback of the trimming process is facilitated by a differential spectroscopic technique based on photomodulation. The resonant wavelength trimming accuracy is better than 0.15 nm for ring resonators with 20-µm radius. We also realize operating point trimming of Mach-Zehnder interferometers with germanium implanted arms. A phase shift of 1. 2π is achieved by annealing a 7-μm implanted segment.
The Design of PROFIBUS-DP HUB based on FPGA

This paper analyzes the PROFIBUS-DP and physical layer signals states, DP time series and other characteristics. In the past, PROFIBUS-DP HUB common problems of poor universal apply, shape communication is more time-consuming, required message analysis, Drop frame etc, this paper propose a new design of PROFIBUS-DP HUB which based on FPGA. The design contain a detector which used to monitor the physical layer signal state of the DP bus, use of FPGA synthesis logic signal, could control the direction of data flow in the physical layer, and Unrelated with the upper layer protocol, without message analysis, compliance the protocol which used the standard RS-485, and baudrate-adaptive. KeywordsPROFIBUS-DP; HUB; Baudrate-adaptive;
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning

Distributed learning systems have enabled training large-scale models over large amount of data in significantly shorter time. In this paper, we focus on decentralized distributed deep learning systems and aim to achieve differential privacy with good convergence rate and low communication cost. To achieve this goal, we propose a new learning algorithm LEASGD (Leader-Follower Elastic Averaging Stochastic Gradient Descent), which is driven by a novel Leader-Follower topology and a differential privacy model.We provide a theoretical analysis of the convergence rate and the trade-off between the performance and privacy in the private setting.The experimental results show that LEASGD outperforms state-of-the-art decentralized learning algorithm DPSGD by achieving steadily lower loss within the same iterations and by reducing the communication cost by 30%. In addition, LEASGD spends less differential privacy budget and has higher final accuracy result than DPSGD under private setting.
Improved protein production and codon optimization analyses in Escherichia coli by bicistronic design

Different codon optimization algorithms are available that aim at improving protein production by optimizing translation elongation. In these algorithms, it is generally not considered how the altered protein coding sequence will affect the secondary structure of the corresponding RNA transcript, particularly not the effect on the 5′‐UTR structure and related ribosome binding site availability. This is a serious drawback, because the influence of codon usage on mRNA secondary structures, especially near the start of a gene, may strongly influence translation initiation. In this study, we aim to reduce the effect of codon usage on translation initiation by applying a bicistronic design (BCD) element. Protein production of several codon‐optimized gene variants is tested in parallel for a BCD and a standard monocistronic design (MCD). We demonstrate that these distinct architectures can drastically change the relative performance of different codon optimization algorithms. We conclude that a BCD is indispensable in future studies that aim to reveal the impact of codon optimization and codon usage correlations. Furthermore, irrespective of the algorithm used, using a BCD does improve protein production compared with an MCD. The overall highest expression from BCDs for both GFP and RFP is at least twofold higher than the highest levels found for the MCDs, while for codon variants having very low expression from the MCD, even 10‐fold to 100‐fold increases in expression were achieved by the BCD. This shows the great potential of the BCD element for recombinant protein production.
An x86 protected mode virtual machine monitor for the MIT exokernel

This thesis presents the design and implementation of an x86 virtual machine monitor that allows multiple operating systems to run concurrently under xok, MIT's x86-based exokernel. The monitor and modified xok demonstrate how to share several processor-defined structures, such as the GDT, LDT, and IDT, between multiple operating systems. Xok was modified to allow controlled modifications to these structures. Linux was used as the reference guest operating system. The guest operating system is part of the trusted code base, but the monitor itself is not. Xok, the monitor, and the guest operating system coexist on the same pagetable to minimize TLB flushes. Real-mode virtualizations of disk and video devices were done. The resulting monitor was benchmarked against several other solutions, and thoughts for future improvements are presented. Thesis Supervisor: M. Frans Kaashoek Title: Associate Professor
Silence is golden: A mixed methods investigation of silence in one case of psychodynamic psychotherapy.

We investigated the antecedents, occurrences, and consequences of 183 silence events in the first 5 and last 5 sessions of a 73-session case of successful psychodynamic psychotherapy. Silences generally occurred within client speaking turns, such that the client often paused to reflect while speaking. In the last 5 sessions, as compared with the first 5 sessions, the client was more collaborative before and after silences, silences were shorter, the therapist was more connectional during silences (e.g., shared emotion and meaning with client), and the client was more emotional after silences. Antecedent client collaboration, duration of the silence, therapist behavior during silence events, client behavior during silence events, and who broke the silence all related to change in collaboration from before to after the silence events. We concluded that silence was helpful in this case because of client factors (the client naturally paused a lot during discussion, the client was quite reflective and insightful), therapist factors (the therapist was comfortable with and believed in silence), and relationship factors (there was a strong therapeutic relationship). (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Diverse roles of RNA‐binding proteins in cancer traits and their implications in gastrointestinal cancers

Gene expression patterns in cancer cells are strongly influenced by posttranscriptional mechanisms. RNA‐binding proteins (RBPs) play key roles in posttranscriptional gene regulation; they can interact with target mRNAs in a sequence‐ and structure‐dependent manner, and determine cellular behavior by manipulating the processing of these mRNAs. Numerous RBPs are aberrantly deregulated in many human cancers and hence, affect the functioning of mRNAs that encode proteins, implicated in carcinogenesis. Here, we summarize the key roles of RBPs in posttranscriptional gene regulation, describe RBPs disrupted in cancer, and lastly focus on RBPs that are responsible for implementing cancer traits in the digestive tract. These evidences may reveal a potential link between changes in expression/function of RBPs and malignant transformation, and a framework for new insights and potential therapeutic applications.
The SSH (Secure Shell) Remote Login Protocol

Phosphate glasses containing minor amounts of the oxides of chromium, molybdenum and tungsten (Group VIb) have improved water resistance and low softening points. Suitable compositions are within the range (moles percent) P2O5 50-75 Group VIb oxides 0.1-10, comprising singly or in combination CrO3 up to 2.6, MoO3 up to 7, WO3 up to 7 At least one oxide selected from alkali metal oxides and alkaline earths 15- 49.
fMRI BOLD Correlates of EEG Independent Components: Spatial Correspondence With the Default Mode Network

Goal: We aimed to identify electroencephalographic (EEG) signal fluctuations within independent components (ICs) that correlate to spontaneous blood oxygenation level dependent (BOLD) activity in regions of the default mode network (DMN) during eyes-closed resting state. Methods: We analyzed simultaneously acquired EEG and functional magnetic resonance imaging (fMRI) eyes-closed resting state data in a convenience sample of 30 participants. IC analysis (ICA) was used to decompose the EEG time-series and common ICs were identified using data-driven IC clustering across subjects. The IC time courses were filtered into seven frequency bands, convolved with a hemeodynamic response function (HRF) and used to model spontaneous fMRI signal fluctuations across the brain. In parallel, group ICA analysis was used to decompose the fMRI signal into ICs from which the DMN was identified. Frequency and IC cluster associated hemeodynamic correlation maps obtained from the regression analysis were spatially correlated with the DMN. To investigate the reliability of our findings, the analyses were repeated with data collected from the same subjects 1 year later. Results: Our results indicate a relationship between power fluctuations in the delta, theta, beta and gamma frequency range and the DMN in different EEG ICs in our sample as shown by small to moderate spatial correlations at the first measurement (0.234 < |r| < 0.346, p < 0.0001). Furthermore, activity within an EEG component commonly identified as eye movements correlates with BOLD activity within regions of the DMN. In addition, we demonstrate that correlations between EEG ICs and the BOLD signal during rest are in part stable across time. Discussion: We show that ICA source separated EEG signals can be used to investigate electrophysiological correlates of the DMN. The relationship between the eye movement component and the DMN points to a behavioral association between DMN activity and the level of eye movement or the presence of neuronal activity in this component. Previous findings of an association between frontal midline theta activity and the DMN were replicated.
Características clínicas y etiológicas de la enfermedad diarreica aguda en niños menores de cinco años hospitalizados en el Hospital Central de las Fuerzas Armadas (2004-2006)

Introducción: la enfermedad diarreica por rotavirus es una afección frecuente a nivel mundial. Según datos oficiales, la gastroenteritis grave por rotavirus puede ocasionar desde 1,45% a 4,85% de todos los egresos hospitalarios de centros privados de Montevideo en niños de 0 a 5 años. En este grupo etario, el rotavirus es el germen responsable de las diarreas que requieren hospitalización con una frecuencia de entre 15 y 45%. Dos vacunas han sido recientemente aprobadas para su prevención. Objetivo: describir las características epidemiológicas, clínicas y etiológicas de los pacientes menores de 5 años hospitalizados con el diagnóstico de enfermedad diarreica aguda en el Hospital Central de las Fuerzas Armadas. Material y método: se realizó un estudio descriptivo retrospectivo en el periodo comprendido entre el 1 de enero de 2004 y el 31 de diciembre de 2006. Se incluyeron en el estudio todos los niños menores de 5 años con diagnóstico al egreso de enfermedad diarreica aguda. Fueron criterios de exclusión la edad mayor de 5 años y una duración de la enfermedad mayor de 14 días. Se revisaron las historias clínicas de donde se obtuvieron los datos sobre edad, sexo, lugar de adquisición de la enfermedad, presencia de sangre, estado nutricional, estado de hidratación, presencia de complicaciones, presencia de foco extraintestinal, resultado de coprocultivo (búsqueda de Shigella y Salmonella) y búsqueda de rotavirus en el 83% de los pacientes ingresados a sala con diagnóstico de diarrea aguda. Resultados: la enfermedad diarreica aguda correspondió a 7% de los ingresos en el período estudiado. En 90% de los casos fue adquirida en la comunidad, un tercio de los pacientes presentaban algún grado de desnutrición y casi la mitad estaban deshidratados al momento del ingreso. La mediana de los días de internación fue de 4 días. En 44% de los casos se identificó a rotavirus como germen responsable. Conclusiones: la diarrea aguda infantil continúa siendo una causa frecuente de hospitalización en niños menores de 5 años. En nuestro estudio de 3 años la gastroenterocolitis por rotavirus representó el 2,5 % del total de los egresos por todas las causas en niños de 0 a 5 años. El rotavirus fue el germen responsable en 44% de los casos de gastroenterocolitis que requirieron internación, otros estudios realizados en nuestro medio, uno en el sector público y otro en el privado, evidenciaron una frecuencia de 18 y 45% respectivamente. Creemos que el trabajo presentado es una aproximación para conocer la carga real de la enfermedad en el sector público del Uruguay en vistas a la decisión de vacunar en nuestro país.
Small Size Dual-Band Bandpass Filters with Multiconductor Transmission Lines and Shunt Open Stubs

A dual-band bandpass filter consisting of multiconductor transmission lines (MTL) and shunt stubs has been designed. The used topology, based on the interconnection of two identical MTL and a shunt open stub, has a frequency response that can be modelled by using the generalized Chebyshev functions. A prototype of a 4 fingers-MTL is manufactured and measured and a good agreement between analytical and measured results is obtained. Furthermore, it is easy to get a design criterion that enables getting good responses varying just a few parameters.
Network Monitoring in Software-Defined Networking: A Review

Monitoring is an important concept in network management as it helps network operators to determine the behavior of a network and the status of its components. Traffic engineering, quality of service, and anomaly detection also depend on monitoring for decision making. Software-defined networking (SDN) is becoming increasingly popular for network provision and management tasks. This paper surveys the tasks and challenges associated with SDN, providing an overview of SDN monitoring developments. Several design concepts, research directions, and open issues are also discussed.
Current perspectives of physical activity in cystic fibrosis

ABSTRACT Introduction: Regular exercise and physical activity participation are recommended in guideline-based care for individuals with cystic fibrosis (CF) across the spectrum of age and disease severity. However, the best training methods to improve physical function and encourage ongoing exercise and activity participation are not clear, which is an ongoing challenge for clinicians. Areas covered: This perspective provides an overview of current evidence for exercise and physical activity relative to clinical outcomes and health-care utilization in people with CF, and highlights areas of future research need. Expert commentary: What kind, how much, how often, and how best to support people with CF to be physically active is uncertain. Whether new methods of training, the use of technology, or pharmaceutical developments could best deliver increased activity and physiological benefit without increased therapeutic burden is unclear. At present, if people with CF are going to be physically active, seemingly they should aim to perform this activity in the way most likely to confer some health benefit i.e. concerted exercise bouts of at least 10 min in addition to any incidental (habitual) activity performed during the course of daily life.
Photonic Integrated Circuits Using Heterogeneous Integration on Silicon

Heterogeneous silicon photonics using wafer bonding is reaching maturity with commercial products for the data center market being shipped in volume. Here we give an overview of recent research in the area showing record device performance by using the best of both worlds: III–V for light generation and Si for guiding the light. Utilizing the flexibility of the heterogeneous silicon platform, narrow-linewidth widely tunable lasers as well as fully integrated mode locked lasers with record pulse powers and pulse duration were demonstrated. The ability to perform multiple die bonding with optimized epitaxially grown layer stacks was used to realize high-performance photonic integrated circuits both for communications and sensing. In addition to III–V materials, nonreciprocal materials such as, for example, Ce:YIG can be bonded, providing additional functionality such as on-chip isolators and reconfigurable on-chip circulators. On-chip isolation will become necessary with the increase in complexity of photonic integrated chips as photonic components such as lasers are sensitive to feedback effects.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks

These proceedings contain the papers selected for presentation at the seventh edition of the ACM SIGSPATIAL Workshop on Location-Based Social Networks (LBSN 2014) which is being held in conjunction with the ACM SIGSPATIAL GIS conference in 2014. Social networks have been prevalent on the Internet and become a hot research topic attracting many professionals from a variety of fields. The advances in location-acquisition and mobile communication technologies empower people to use location data with existing online social networks. The dimension of location helps bridge the gap between the physical world and online social networking services. Furthermore, people in an existing social network can expand their social structure with the new interdependency derived from their locations. As location is one of the most important components of user context, extensive knowledge about an individual's interests, behaviors, and relationships with others can be learned from locations. These kinds of location-embedded and location-driven social structures are known as location-based social networks. The objective of this workshop is to provide professionals, researchers, and technologists with a single forum where they can discuss and share the state-of-the-art of LBSN development and applications, present their ideas and contributions, and set future directions in emerging innovative research for location based social networks. This year program is composed of two tracks of predominantly "social" and "spatial" views on LBSNs.