Miracle-dz/UniFAR-FTUs huggingface dataset:
Demographics and complaints of university students who sought help at a campus mental health service between 1987 and 2004.

CONTEXT AND OBJECTIVE Client characterization is an important step in evaluating the services offered by campus counseling and mental health centers and in their further planning and development. The objectives here were to describe reported complaints and demographics among students who sought counseling/mental healthcare at a Brazilian campus mental health service over a 17-year period and to compare these characteristics with those of the general university student body. DESIGN AND SETTING Retrospective study at the Psychological and Psychiatric Service for Students (SAPPE), Universidade Estadual de Campinas (Unicamp). METHODS The participants were all of the 2,194 students who sought counseling/mental health care at SAPPE from 1987 to 2004. Information was obtained from clients clinical charts. Unicamps database was consulted for general information on its students. RESULTS The findings indicated overrepresentation, among the clients, of undergraduates, female students, students from Brazilian states other than São Paulo, students living in the campus residence hall and those whose main source of income was a scholarship grant. We also found overrepresentation of Humanities and Arts students among the clients. The most frequently reported complaints were difficulties in interpersonal relationships, family conflicts and poor academic performance. CONCLUSION Course level (undergraduate or postgraduate), study field, living in a university residential facility and reliance on a scholarship grant were found to influence the behavior of seeking mental health counseling among Brazilian university students in this study. Course level was found to influence the pattern of complaints reported at first contact with the mental health service.
A Dual Band CMOS Quadrature VCO for Low Power and Low Phase Noise Application

To design a multi standard and a multi band transceiver, a quadrature voltage controlled oscillator (VCO), which has a wide tuning range, is essential, while providing low phase noise with low current consumption. In this paper, a dual band quadrature VCO in 0.18 mum CMOS process is presented. To accomplish dual band operation, reconfigurable LC tank is adopted. Series coupling transistors are attached to generate quadrature phase signal with low power consumption and low phase noise. To improve phase noise performance, current sources are eliminated and a filter inductor at the common source node is added. The measured phase noises of low frequency mode and high frequency mode are -101.81 dBc/Hz and -100.59 dBc/Hz at 10 kHz offset frequency; and -123.83 dBc/Hz and -115.06 dBc/Hz at 1 MHz offset frequency and figure of merit (FoM) at 1 MHz offset frequency of -181.8 dB and -180.5 dB with 4 mA current consumption with a 1.7 V supply.
The GP2 peptide: A HER2/neu‐based breast cancer vaccine

Preclinical studies suggest that GP2, a HER2/neu‐derived peptide, is immunogenic. Subsequent phase I clinical trials demonstrated that GP2‐based vaccines are safe and effective in stimulating peptide‐specific immunity. A GP2 peptide vaccine is currently being evaluated in a phase II efficacy trial enrolling breast cancer patients. This article reviews initial studies characterizing GP2, clinical trials investigating GP2‐based vaccines, and novel immunotherapy strategies incorporating GP2 in combination with other peptides or with the monoclonal antibody trastuzumab. J. Surg. Oncol. 2012; 105:452–458. © 2012 Wiley Periodicals, Inc.
Energy efficient code generation for processors with exposed datapath

In a modern processor architecture the register ? le (RF) consumes considerable amount of power. Therefore it is important to reduce the RF accesses when designing an energy e? cient architecture. It is well-known that with datapath exposed to software, the transport-triggered architectures (TTAs) can substantially reduce the RF tra? c. In this paper, we analyze the potential of using MOVE-Pro, a TTAbased processor architecture. And we propose the compiler back-end for MOVE-Pro which can generate code that saves energy consumption by performing energy aware instruction scheduling to reduce RF accesses. The proposed architecture and compiler design is exible. In the experiments we compare the proposed architecture with a RISC processor with the same resource, and achieve a reduction of RF accesses by up to 80%, which results in up to 11% saving in total core power. Meanwhile the dynamic cycle count remains almost the same as the reference processor, which means energy is saved without compromising performance.
Propagation models for Heterogeneous Networks

In this paper, the different categories of propagation modeling are introduced, namely empirical, semi-empirical and deterministic. Semi-empirical models can provide a first insight into the coverage of each layer (macro-cell, outdoor and indoor small-cells) but present many limitations for HetNet coverage prediction. On the other hand, deterministic ray-based models provide high accuracy for all configurations and radio links met in HetNet. Small and large propagation ranges are all addressed in a coherent way, thus cross-correlation between various links is inherently finely estimated resulting in an accurate HetNet coverage prediction. Besides, variations of signal levels at different reception floors can be reproduced by the construction of precise 3D ray paths. Thereby, coverage and system simulation tools can be fed with realistic scenarios and accurate 3D path loss predictions to investigate the impact of small-cells, to define a deployment strategy and finally to design and optimize HetNets.
Optimizing deep neural network structure for face recognition

The application of convolution neural network provides numerous opportunities to get performance of face recognition boosted. These opportunities require efficient deep face network structures as well as optimization methods for large datasets. However, existing deep face network structures mainly focus on stacking more convolutional layers while ignoring the importance of width. In this work, we review the concept of depth and width and sum up the relationship between these two factors in deep face network. As a result, an optimal method is proposed for deep face network designing: the performance of deep face network can be significantly improved when the value of depth and width are nearly equal. The proposed optimal method is verified on different datasets by adopting modified Inception structures to existing well-known networks such as DeepID, DeepID2 and FaceNet. In addition, mutual information theory is also used to analyze and explain how our method help deep face networks be more efficient.
Did we learn from LLC Side Channel Attacks? A Cache Leakage Detection Tool for Crypto Libraries

This work presents a new tool to verify the correctness of cryptographic implementations with respect to cache attacks. Our methodology discovers vulnerabilities that are hard to find with other techniques, observed as exploitable leakage. The methodology works by identifying secret dependent memory and introducing forced evictions inside potentially vulnerable code to obtain cache traces that are analyzed using Mutual Information. If dependence is observed, the cryptographic implementation is classified as to leak information. We demonstrate the viability of our technique in the design of the three main cryptographic primitives, i.e., AES, RSA and ECC, in eight popular up to date cryptographic libraries, including OpenSSL, Libgcrypt, Intel IPP and NSS. Our results show that cryptographic code designers are far away from incorporating the appropriate countermeasures to avoid cache leakages, as we found that 50% of the default implementations analyzed leaked information that lead to key extraction. We responsibly notified the designers of all the leakages found and suggested patches to solve these vulnerabilities.
Selectivity of biopolymer membranes using HepG2 cells

Bioartificial liver (BAL) system has emerged as an alternative treatment to bridge acute liver failure to either liver transplantation or liver regeneration. One of the main reasons that the efficacy of the current BAL systems was not convincing in clinical trials is attributed to the lack of friendly interface between the membrane and the hepatocytes in liver bioreactor, the core unit of BAL system. Here, we systematically compared the biological responses of hepatosarcoma HepG2 cells seeded on eight, commercially available biocompatible membranes made of acetyl cellulose–nitrocellulose mixed cellulose (CA–NC), acetyl cellulose (CA), nylon (JN), polypropylene (PP), nitrocellulose (NC), polyvinylidene fluoride (PVDF), polycarbonate (PC) and polytetrafluoroethylene (PTFE). Physicochemical analysis and mechanical tests indicated that CA, JN and PP membranes yield high adhesivity and reasonable compressive and/or tensile features with friendly surface topography for cell seeding. Cells prefer to adhere on CA, JN, PP or PTFE membranes with high proliferation rate in spheriod-like shape. Actin, albumin and cytokeratin 18 expressions are favorable for cells on CA or PP membrane, whereas protein filtration is consistent among all the eight membranes. These results further the understandings of cell growth, morphology and spreading, as well as protein filtration on distinct membranes in designing a liver bioreactor.
Fast restoration of ATM networks

Asynchronous transfer mode (ATM) is now well recognized as the fundamental switching and multiplexing technique for future broadband ISDN. As these networks will be increasingly relied upon for providing a multitude of integrated voice, data, and video services, network reliability is a key concern. There are several intrinsic features of ATM networks that could potentially be exploited to provide improved restoration techniques, beyond those established for synchronous transfer mode (STM) networks, such as digital cross-connect restoration or self-healing rings. These features include ATM cell level error detection, inherent rate adaptation and nonhierarchical multiplexing. The authors explore the use of these features in developing fast restoration strategies for ATM networks. In particular, they address: (1) ATM error detection capabilities for enhanced failure detection, (2) network rerouting strategies, (3) spare capacity allocation, and (4) network control architecture and related implementation aspects. Their findings suggest that fast network span failure detection and bandwidth-efficient rerouting capabilities can be combined to develop restoration strategies for ATM networks with significantly greater performance-cost ratios when compared to existing STM network restoration strategies. >
Bregman Hyperplane Trees for Fast Approximate Nearest Neighbor Search

This article presents a new approximate index structure, the Bregman hyperplane tree, for indexing the Bregman divergence, aiming to decrease the number of distance computations required at query processing time, by sacrificing some accuracy in the result. The experimental results on various high-dimensional data sets demonstrate that the proposed index structure performs comparably to the state-of-the-art Bregman ball tree in terms of search performance and result quality. Moreover, this method results in a speedup of well over an order of magnitude for index construction. The authors also apply their space partitioning principle to the Bregman ball tree and obtain a new index structure for exact nearest neighbor search that is faster to build and a slightly slower at query processing than the original.
Common Services Framework - An Application Development Framework

The Common Services Framework (CSF) is developed by GE’s Global Research Center (GRC) as a design pattern and framework for application development. The CSF is comprised of a set of service-oriented API’s and components that implement the design pattern. GE GRC supports a wide diversity of R&D for GE and external customers. The motivation was for a reusable, extensible, domain and implementation agnostic framework that could be applied across various research projects and production applications. The CSF has been developed for use in finance, diagnostics, logistics and healthcare. The design pattern is an extension of the Model-View-Controller pattern and the reference implementation is in Java.
The p60 and NamA autolysins from Listeria monocytogenes contribute to host colonization and induction of protective memory

Inducing long‐term protective memory CD8+ T‐cells is a desirable goal for vaccines against intracellular pathogens. However, the mechanisms of differentiation of CD8+ T‐cells into long‐lived memory cells capable of mediating protection of immunized hosts remain incompletely understood. We have developed an experimental system using mice immunized with wild type (WT) or mutants of the intracellular bacterium Listeria monocytogenes (Lm) that either do or do not develop protective memory CD8+ T‐cells. We previously reported that mice immunized with Lm lacking functional SecA2, an auxiliary secretion system of gram‐positive bacteria, did not differentiate functional memory CD8+ T‐cells that protected against a challenge infection with WT Lm. Herein we hypothesized that the p60 and NamA autolysins of Lm, which are major substrates of the SecA2 pathway, account for this phenotype. We generated Lm genetically deficient for genes encoding for the p60 and NamA proteins, ΔiapΔmurA Lm, and further characterized this mutant. Δp60ΔNamA Lm exhibited a strong filamentous phenotype, inefficiently colonized host tissues, and grew mostly outside cells. When Δp60ΔNamA Lm was made single unit, cell invasion was restored to WT levels during vaccination, yet induced memory T‐cells still did not protect immunized hosts against recall infection. Recruitment of blood phagocytes and antigen‐presenting cell activation was close to that of mice immunized with ΔActA Lm, which develop protective memory. However, key inflammatory factors involved in optimal T‐cell programming such as IL‐12 and type I IFN (IFN‐I) were lacking, suggesting that cytokine signals may largely account for the observed phenotype. Thus, altogether, these results establish that p60 and NamA secreted by Lm promote primary host cell invasion, the inflammatory response and the differentiation of functional memory CD8+ T‐cells, by preventing Lm filamentation during growth and subsequent triggering of innate sensing mechanisms.
Evaluation of preterm births and birth defects in liveborn infants of US military women who received smallpox vaccine.

BACKGROUND Women serving in the US military have some unique occupational exposures, including exposure to vaccinations that are rarely required in civilian professions. When vaccinations are inadvertently given during pregnancy, such exposures raise special concerns. These analyses address health outcomes, particularly preterm births and birth defects, among infants who appear to have been exposed to maternal smallpox vaccination in pregnancy. METHODS This retrospective cohort study included 31,420 infants born to active-duty military women during 2003-2004. We used Department of Defense databases to define maternal vaccination and infant health outcomes. Multivariable regression models were developed to describe associations between maternal smallpox vaccination and preterm births and birth defects in liveborn infants. RESULTS There were 7,735 infants identified as born to women ever vaccinated against smallpox, and 672 infants born to women vaccinated in the first trimester of pregnancy. In multivariable modeling, maternal smallpox vaccination in pregnancy was not associated with preterm or extreme preterm delivery. Maternal smallpox vaccination in the first trimester of pregnancy was not significantly associated with overall birth defects (OR 1.40; 95% CI: 0.94, 2.07), or any of seven specific defects individually modeled. CONCLUSIONS Results may be reassuring that smallpox vaccine, when inadvertently administered to pregnant women, is not associated with preterm delivery or birth defects in liveborn infants.
Contribution to the synthesis of biped gait.

The connection between the dynamics of an object and the algorithmic level has been modified in this paper, based on two-level control. The central modification consists in introducing feedbacks, that is, a system of regulators at the level of the formed typed of gait only. Such a modification originates from the assumption that a very narrow class of gait types needs to be taken into account when generating the gait. In the paper the gait has been formed on the basis of a fixed program having a kinematic-dynamic character. The kinematic part concerns the kinematic programnmed connections for activating the lower extremities, while the dynamic part exposes appropriate changes in the characteristic coordinates of the compensation system. Such a connection with a minimum number of coordinates extends the possibility of solving the problem of equilibrium in motion for one type of gait without any particular algorithm that would take into account the motion coordinates and form out of them a stable motion at a higher algebraic level.
Virus Recognition Based on Local Texture

To detect and identify viruses in electron microscopy images is crucial in certain clinical emergency situations. It is currently a highly manual task, requiring an expert sitting at the microscope to perform the analysis visually. Here we focus on and investigate one aspect towards automating the virus diagnostic task, namely recognizing the virus type based on their texture once possible virus objects have been segmented. We show that by using only local texture descriptors we achieve a classification rate of almost 89% on texture patches from 15 different virus types and a debris (false object) class. We compare and combine 5 different types of local texture descriptors and show that by combining the different types a lower classification error is achieved. We use a Random Forest Classifier and compare two approaches for feature selection.
Myosin Va is required for the transport of fragile X mental retardation protein (FMRP) granules

Fragile X mental retardation protein (FMRP) is a selective RNA binding protein that functions as a translational inhibitor. It also plays a role in directing the transport of a subset of mRNAs to their site of translation and several recent reports have implicated microtubule motor proteins in the transport of FMRP–messenger ribonucleoprotein (mRNP) granules in neurons. Earlier work reported the association of the actin‐based motor protein myosin Va with FMRP granules.
Infection experiment of Paragonimus westermani in its first intermediate host, Semisulcospira libertina.

The infection experiment of Paragonimus westermani in its first intermediate host , Semisulcospira libertina, was made by Nakagawa (1915), Kobayashi (1918), Yokogawa (1919) and Miyairi (1919, 1934). But due to the difficulty in rearing this snail for a sufficient time after infection, no cercaria thereof was obtained in these experiments . The present authors succeeded in maintaining this snail for a long time after exposure to miracidia, rendering possible the experimental infection of it with the miracidia of Paragonimus westermani, and were able to obtain the cercariae of this worm . The following is the summary of the results.
The Remarkable Visual Abilities of Nocturnal Insects: Neural Principles and Bioinspired Night-Vision Algorithms

Despite their tiny eyes and brains, nocturnal insects have remarkable visual abilities. Recent work - particularly on fast-flying moths and bees and on ball-rolling dung beetles - has shown that nocturnal insects are able to distinguish colors, to detect faint movements, to learn visual landmarks, to orient to the faint pattern of polarized light produced by the moon, and to navigate using the stars. These impressive visual abilities are the result of exquisitely adapted eyes and visual systems, the product of millions of years of evolution. Even though we are only at the threshold of understanding the neural mechanisms responsible for reliable nocturnal vision, growing evidence suggests that the neural summation of photons in space and time is critically important: even though vision in dim light becomes necessarily coarser and slower, those details that are preserved are seen clearly. These benefits of spatio-temporal summation have obvious implications for dim-light video technologies. In addition to reviewing the visual adaptations of nocturnal insects, we here describe an algorithm inspired by nocturnal visual processing strategies - from amplification of primary image signals to optimized spatio-temporal summation to reduce noise - that dramatically increases the reliability of video collected in dim light, including the preservation of color.
Optical methods for determining thicknesses of few-layer graphene flakes

Optical microscopy (OM) methods have been commonly used as a convenient means for locating and identifying few-layer graphene (FLG) on SiO2/Si substrates. However, it is less clear how reliably optical images of FLG could be used to determine the sample thickness. In this work, various OM methods based on color differences and color contrasts are presented and their reliabilities are evaluated. Our analysis shows that these color-based OM methods depend sensitively on certain parameters of the measuring system, particularly the light source and the reference substrate. These parameters have usually been overlooked and less controlled in routine experiments. From evaluating the performance of these OM methods with both virtual and real FLG samples, we propose some practical guidelines for minimizing the impact of these less-controlled experimental parameters and provide a user-friendly MATLAB script for facilitating the implementation.
Seasonal Activity, Density, and Collection Efficiency of the Blacklegged Tick (Ixodes scapularis) (Acari: Ixodidae) in Mid-Western Pennsylvania

ABSTRACT Although Pennsylvania has recently reported the greatest number of Lyme disease cases in the United States, with the largest increase for PA occurring in its western region, the population biology of the blacklegged tick (Ixodes scapularis Say) has not been adequately characterized in western PA. We studied the seasonal activity of host-seeking I. scapularis larvae, nymphs, and adults in mid-western PA over the course of a year, including a severe winter, and determined their absolute densities and collection efficiencies using replicated mark-release-recapture or removal methods. Our results are compared to those from similar studies conducted in the highly Lyme disease endemic Hudson Valley region of southeastern New York State. The seasonal activity of I. scapularis was intermediate between patterns observed in the coastal northeastern and upper Midwestern United States. Only one peak of larval activity was observed, which was later than the major peak in the Midwest, but earlier than in the northeast. Seasonal synchrony of larvae and nymphs was similar to the northeast, but the activity peaks were much closer together, although not completely overlapping as in the Midwest. Pre- and postwinter relative densities of questing adult I. scapularis were not significantly different from one another. The absolute densities and collection efficiencies of larvae, nymphs, and adults were comparable to results from classic research conducted at the Louis Calder Center inWestchester County, NY.We conclude that the population biology of I. scapularis in mid-western PA is similar to southeastern NYS contributing to a high acarological Lyme disease risk.