Miracle-dz/UniFAR-FTUs huggingface dataset:
Hemispheric processing of inferences during text comprehension: The role of consistency and task difficulty

Although the hemispheres likely carry out different processes during reading, currently little is known about how the consistency effect and the difficulty of the task influences hemispheric processing during text comprehension. In the current study participants read texts promoting an inference, and performed a lexical decision task to inference-related targets presented to the left visual field–right hemisphere or the right visual field–left hemisphere. To manipulate the consistency of information targets were either consistent or inconsistent with the inference. To manipulate difficulty the antecedent and its referent were either separated by two sentences (i.e., the less-difficult condition) or four sentences (i.e., the more-difficult condition). In the consistent condition facilitation was greater in the left hemisphere than the right hemisphere. In the inconsistent condition facilitation was greater in the right hemisphere than the left hemisphere. When analyses were combined across conditions, consistent targets showed greater facilitation in the left hemisphere than in the right hemisphere. Interestingly the level of difficulty did not mediate how the hemispheres process inferences. The current findings suggest that the consistency of information, rather than the difficulty of a task, primarily influences inference generation in the cerebral hemispheres.
FQDB: A Fair Multisegment MAC Protocol for dual Bus Networks

The fair queue dual bus (FQDB) medium-access control (MAC) protocol for dual bus networks, which is intrinsically fair in bandwidth sharing and retains all the positive features of distributed-queue dual-bus (DQDB) systems including simplicity, robustness, flexibility, 100% bandwidth utilization, and zero access delay at very low load, is presented. Features which make this protocol appealing with respect to others DQDB alternatives are represented by the fact that FQDB is compatible with the DQDB standard with respect to the physical arrangement and attachment to the bus, the XOR write tap, the access control field (ACF) length, and the three priority levels. Nevertheless, its properties are attractive also for protocols operating at 1 Gb/s and up. Fairness is formally proved, and it is shown that a bandwidth sharing pattern different from the uniform one can easily be enforced, as may be the case if bridges or other large users are presented. Queueing disciplines, priorities, and implementation issues are discussed, and comparisons obtained by simulation are given. >
All-optical TDM data demultiplexing at 80 Gb/s with significant timing jitter tolerance using a fiber Bragg grating based rectangular pulse switching technology

We demonstrate the use of fiber Bragg grating based pulse-shaping technology to provide timing jitter tolerant data demultiplexing in an 80 Gb/s all-optical time division multiplexing (OTDM) system. Error-free demultiplexing operation is achieved with /spl sim/6 ps timing jitter tolerance using superstructured fiber Bragg grating based 1.7 ps soliton to 10 ps rectangular pulse conversion at the switching pulse input to a nonlinear optical loop mirror (NOLM) demultiplexer comprising highly nonlinear dispersion shifted fiber (HNLF). A 2-dB power-penalty improvement is obtained compared to demultiplexing without the pulse-shaping grating.
Silicon sensor with high sensibility from 200 to 1100 nm using embedded silicon nano-particles

Silicon photodetectors have a limited response in the visible range. However, the silicon technology is currently the most important. Then there is the need to develop silicon sensors that are able to detect radiation in different ranges. In this paper, a sensor, that uses Si nano-particles, sensible in the whole range form 200 to 1100 nm is characterized in both DC and AC signal. A discussion is done that relates the sensibility of the sensor with the SRO characteristics.
How to Implement Itemization in an Audiology Practice

Abstract The hearing aid delivery landscape has dramatically changed over the past several years, with a commercial payer, the Internet, and big box stores dispensing hearing aids directly to patients. The audiology community needs to modify the bundled billing model. This session will describe how to optimize the services you provide to current and new patients and change the hearing aid delivery and hearing aid pricing model to remain competitive with these new market trends. This activity will educate participants on itemized billing, sometimes referred to as unbundling, its pros and cons, and how it could aid audiologists in differentiating themselves in the hearing aid delivery landscape.
Autoantibodies against bestrophin in a patient with vitelliform paraneoplastic retinopathy and a metastatic choroidal malignant melanoma.

8q22. The investigators attributed the responsible area of glaucoma to 8q22, not 9p23, because GLC1D maps to 8q22. That case also showed retained testis and hydronephrosis, similar to our patient. Interestingly, 2 previously reported cases of monosomy 9p24-pter (near the 9p23 locus) manifested developmental glaucoma. Therefore, partial monosomy 9p might be causative for developmental glaucoma. Chromosome 13 seems essential for development of the eye. Trisomy 13 often results in severe ocular defects, including developmental glaucoma. One case of developmental glaucoma and polydactyly with trisomy 13 was reported, which is compatible with our case. In a French family with congenital microcoria, axial myopia, and juvenile open-angle glaucoma, genetic linkage to 13q31-32 was suggested to result in these ocular findings. Although our patient had a normal pupil phenotype, trisomy 13q31 might be responsible for the developmental anomaly of angle. Taken together, it is suggested that the abnormalities of chromosome 9p23 and/or 13q31 are associated with developmental glaucoma with other systemic anomalies.
Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine

In most current intelligent diagnosis methods, fault classifiers of electric machine are built based on complex handcrafted features extractor from raw signals, which depend on prior knowledge and is difficult to implement intelligentization authentically. In addition, the increasingly complicated industrial structures and data make handcrafted features extractors less suited. Convolutional neural network (CNN) provides an efficient method to act on raw signals directly by weight sharing and local connections without feature extractors. However, effective as CNN works on image recognition, it does not work well in industrial applications due to the differences between image and industrial signals. Inspired by the idea of CNN, we develop a novel diagnosis framework based on the characteristics of industrial vibration signals, which is called dislocated time series CNN (DTS-CNN). The DTS-CNN architecture is composed of dislocate layer, convolutional layer, sub-sampling layer and fully connected layer. By adding a dislocate layer, this model can extract the relationship between signals with different intervals in periodic mechanical signals, thereby overcome the weaknesses of traditional CNNs and is more applicable for modern electric machines, especially under nonstationary conditions. Experiments under constant and nonstationary conditions are performed on a machine fault simulator to validate the proposed framework. The results and comparison with respect to the state of the art in the field is illustrated in detail, which highlights the superiority of the proposed method in industrial applications.
Performing complex associations using a generalised bidirectional associative memory

Learning in bidirectional associative memory (BAM) is typically Hebbian-based. Since Kosko's 1988 [‘Bidirectional Associative Memories’, IEEE Transactions on Systems, Man and Cybernetics, 18, 49–60] paper on BAM in the late 1980s, many improvements have been proposed. However, none of the proposed modifications have allowed BAM to perform complex associative tasks that combine many-to-one with one-to-many associations. Even though BAMs are often deemed more plausible biologically, if they are not able to solve such mappings they will have difficulties establishing themselves as good models of cognition. This article presents a BAM that can perform complex associations using only covariance matrices. It will be shown that a single network can be trained to learn both the 2- and 3-bit parity problems, while its extension into a generalised BAM with a hidden layer allows the model to learn even more complex associations with perfect performance. The conditions that provide optimal learning performance within both network frameworks are explored. Results show that contrary to other associative memory network models, the proposed model is able to learn nonlinearly separable tasks perfectly while maintaining the same learning and output functions.
Use of fuzzy logic to describe constraints derived from engineering judgment in genetic algorithms

Engineering optimization frequently runs into difficulties due to constraints. If an application is insufficiently constrained, it will not yield a unique optimal solution. Traditionally, underconstrained problems may be solved manually, applying engineering judgment to select the most plausible of a range of solutions which meet the initial set of constraints. The engineering judgment used to select good solutions is often qualitative and may even include contradictory elements. This paper addresses the issue of incorporating engineering judgment into the objective function of an optimizer in order to restrict the range of solutions. Fuzzy logic is used to represent engineering judgment since it is able to represent the qualitative nature of the knowledge and give an assessment of the overall quality of each solution. The approach has been used successfully to match a physically based gas turbine blade cooling design model to experimental results.
Is Radiographic Measurement of Bony Landmarks Reliable for Lateral Meniscal Sizing?

Background: The accuracy of meniscal measurement methods is still in debate. Hypothesis: The authors’ protocol for radiologic measurements will provide reproducible bony landmarks, and this measurement method of the lateral tibial plateau will correlate with the actual anatomic value. Study Design: Controlled laboratory study. Methods: Twenty-five samples of fresh lateral meniscus with attached proximal tibia were obtained during total knee arthroplasty. Each sample was obtained without damage to the meniscus and bony attachment sites. The inclusion criterion was mild to moderate osteoarthritis in patients with mechanical axis deviation of less than 15°. Knees with lateral compartment osteoarthritic change or injured or degenerated menisci were excluded. For the lateral tibial plateau length measurements, the radiographic beam was angled 10° caudally at neutral rotation, which allowed differentiation of the lateral plateau cortical margins from the medial plateau. The transition points were identified and used for length measurement. The values of length were then compared with the conventional Pollard method and the anatomic values. The width measurement was done according to Pollard’s protocol. For each knee, the percentage deviation from the anatomic dimension was recorded. Intraobserver error and interobserver error were calculated. Results: The deviation of the authors’ radiographic length measurements from anatomic dimensions was 1.4 ± 1.1 mm. The deviation of Pollard’s radiographic length measurements was 4.1 ± 2.0 mm. With respect to accuracy—which represents the frequency of measurements that fall within 10% of measurements—the accuracy of authors’ length was 98%, whereas for Pollard’s method it was 40%. There was a good correlation between anatomic meniscal dimensions and each radiologic plateau dimensions for lateral meniscal width (R 2 = .790) and the authors’ lateral meniscal length (R 2 = .823) and fair correlation for Pollard’s lateral meniscal length (R 2 = .660). The reliability of each radiologic measurement showed good reliability (intraclass correlation coefficients, .823 to .973). The authors tried to determine the best-fit equation for predicting meniscal size from Pollard’s method of bone size, as follows: anatomic length = 0.52 × plateau length (according to Pollard’s method) + 5.2, not as Pollard suggested (0.7 × Pollard’s plateau length). Based on this equation—namely, the modified Pollard method—the percentage difference decreased, and the accuracy increased to 92%. Conclusion: Lateral meniscal length dimension can be accurately predicted from the authors’ radiographic tibial plateau measurements. Clinical Relevance: This study may provide valuable information in preoperative sizing of lateral meniscus in meniscal allograft transplantation.
A Frames Approach to Semantic Analysis

In this chapter, we contrast a broad use of the term frame in cognitive science from its related use in a type of linguistic analysis; we describe the principles and data structure of a particular research project (FrameNet) as a model for representing frame-based analyses of lexical meanings; we briefly introduce an extension of the project to include the semantic contributions of grammatical constructions; and we conclude by surveying the implications of a frames perspective on some familiar issues in linguistic semantics.
Opinion Analysis on Web-based Reviews Using Support Vector Machine

: This work aims to use sentiment analysis techniques, data mining, text mining and natural language processing to indicate the polarity of texts using SVM (support vector machine). Weka software and a movie review database from IMDb (internet movie database) were used. This work uses preprocessing filters and WRAPPER techniques and SVM for classification. It presents better results when compared to other preprocessing techniques used in sentiment analysis.
Pulsed-field gel electrophoresis of NotI digests of leptospiral DNA: a new rapid method of serovar identification

Fingerprints for 72 reference serovar strains of pathogenic Leptospira spp. were obtained by pulsed-field gel electrophoresis (PFGE) following NotI restriction digests of the chromosome. These strains included the serovar reference strains of serogroups Australis, Ballum, Bataviae, Grippotyphosa, Panama, Pomona, and Pyrogenes. Sixty-four serovars could be identified by a unique NotI restriction profile. The remaining serovars were differentiated by chromosomal digestion with SgrAI. These included four serovars from serogroup Australis, two serovars from serogroup Ballum, and two serovars from serogroup Bataviae. Thirteen of 18 recent clinical isolates identified by microagglutination test and cross-adsorption procedure were correctly typed by PFGE. The results indicate that PFGE, which is considerably more rapid than serology, should be useful for identification and epidemiological studies.
Evidence for plasticity genotypes in a gene–gene–environment interaction: the TRAILS study

The purpose was to study how functional polymorphisms in the brain derived neurotrophic factor gene (BDNF val66met) and the serotonin transporter gene linked promotor region (5‐HTTLPR) interact with childhood adversities in predicting Effortful Control. Effortful Control refers to the ability to regulate behavior in a goal‐directed manner and is an interesting endophenotype for psychopathology because of its heritability and the association of low Effortful Control with both internalizing and externalizing problems. In a longitudinal population‐based study Effortful Control was assessed with the parent version of the Early Adolescent Temperament Questionnaire at age 11. Pregnancy and delivery adversities and childhood events were assessed in a parent interview at age 11. Long‐term difficulties until age 11 were assessed with a parent questionnaire at age 13.5. Blood or buccal cells were collected at age 16 for genotyping the rs6265 and rs25531 SNPs and the 5‐HTTLPR length polymorphism. The study included 1032 complete data sets. Effortful Control was significantly predicted by the interaction between BDNF val66met, 5‐HTTLPR and childhood events. The BDNF val66met val/val–5‐HTTLPR l′/l′ genotype was unaffected by childhood events, while having either at least one BDNF val66met met or 5‐HTTLPR s′ allele (l′/l′‐met‐carrier; l′/s′‐val/val; s′/s′‐val/val) made children sensitive to childhood events. Predictions of Effortful Control by pregnancy and delivery adversities and long‐term difficulties were largely independent of genotype. We concluded that the l′/l′‐met‐carrier, l′/s′‐val/val and the s′/s′‐val/val genotypes showed greatest plasticity while the l′/l′‐val/val genotype was unaffected by childhood events.
Detecting VM Live Migration using a Hybrid External Approach

Cloud computing has become a paradigm of our time. It is not only a technical solution, but a business model to sell and rent computing power and servers. Virtual machines (VMs) are used to allow a dynamic and transparent server utilization, which is made possible by VM live migration. VM live migration allows to move VMs within and out of data centers while the VM is still running. Thus, resource usage becomes more efficient. However, VM live migration also provides an opportunity for new attack vectors, which can be used by malicious attackers. They can compromise hypervisors and afterwards steal VMs from data centers to gain control over resources. In the worst case scenario, the theft remains undetected by both system administrators and customers. In this paper, we present the first taxonomy of possible VM live migration detection approaches. There are two different monitoring approaches, i.e., internal or external monitoring, as well as different detection approaches, which correspond to the different approaches to detect migration. Moreover, we propose a hybrid external approach using delay measurement with ICMP ping and time-lag detection with the network time protocol (NTP) to detect VM live migration. We show that VM live migration can be detected by using a prototype of our hybrid external approach.
Poor Mental Health, Depression, and Associations With Alcohol Consumption, Harm, and Abuse in a National Sample of Young Adults in College

The purpose of this article was to describe patterns of poor mental health/depression (PMHD) in a national sample of college students and the relationships among PMHD, alcohol consumption, harm, and abuse. Responses to mailed questionnaires completed by a random sample of 27,409 students at 119 colleges were analyzed using logistic regression. Nationally, 4.8% of students reported PMHD. The average college prevalence was 5.01% (range, 0.68% to 13.23%). Students with PMHD were more likely than their peers to be female, nonwhite, and from low socioeconomic status families; less likely to report never drinking; as likely to report frequent, heavy, and heavy episodic drinking; and more likely to report drinking to get drunk. Students with PMHD—especially females—were more likely to report drinking-related harms and alcohol abuse. College is a critical context for studying youth mental health. The interrelationship of mental health problems and their clustering by group and college are important considerations for prevention and treatment.
Influence of Temperature on Water and Aqueous Glucose Absorption Spectra in the Near- and Mid-Infrared Regions at Physiologically Relevant Temperatures

Near- and mid-infrared absorption spectra of pure water and aqueous 1.0 g/dL glucose solutions in the wavenumber range 8000–950 cm−1 were measured in the temperature range 30–42 °C in steps of 2 °C. Measurements were carried out with an FT-IR spectrometer and a variable pathlength transmission cell controlled within 0.02 °C. Pathlengths of 50 μm and 0.4 mm were used in the mid- and near-infrared spectral region, respectively. Difference spectra were used to determine the effect of temperature on the water spectra quantitatively. These spectra were obtained by subtracting the 37 °C water spectrum from the spectra measured at other temperatures. The difference spectra reveal that the effect of temperature is highest in the vicinity of the strong absorption bands, with a number of isosbestic points with no temperature dependence and relatively flat plateaus in between. On the basis of these spectra, prospects for and limitations on data analysis for infrared diagnostic methods are discussed. As an example, the absorptive properties of glucose were studied in the same temperature range in order to determine the effect of temperature on the spectral shape of glucose. The change in water absorption associated with the addition of glucose has also been studied. An estimate of these effects is given and is related to the expected level of infrared signals from glucose in humans.
Anxious Attachment and Self-Reported Depressive Symptomatology in Women

Objective: Lack of intimacy has been identified as an important provoking agent that increases the risk of depressive symptoms in women. This study precisely characterized lack of intimacy by assessing a woman's attachment style and investigated the specificity of association between depressive symptoms and an anxious attachment pattern. Method: Four hundred and twenty women participated in this cross-sectional study of depressive symptomatology and anxious attachment. All participants completed the following measures: a sociodemographic questionnaire, the Centre for Epidemiological Studies Depression Scale (CES-D), the Reciprocal Attachment Questionnaire, the Social Support Questionnaire, the Rosenberg Self-Esteem Scale, and the Global Assessment of Recent Stress Scale. Results: A score of 16 or above on the CES-D, which indicates the presence of depressive symptoms, was used to divide the sample into 2 groups: a depressed group (N = 129) and a nondepressed group (N = 291). We found that women in the depressive symptomatology group were more likely than women in the nondepressive symptomatology group to exhibit anxious attachment and adverse social and cognitive characteristics. Lower levels of self-esteem and higher levels of recent stress were also predictive of depressive symptomatology. Feared loss of the attachment figure and a lack of use of the attachment figure were independent predictors of depressive symptomatology in the same model. Conclusion: The feared loss of security associated with an attachment figure seems to be related to an increased likelihood of depressive symptoms.