Miracle-dz/UniFAR-FTUs huggingface dataset:
Visualizing and Understanding Deep Texture Representations

A number of recent approaches have used deep convolutional neural networks (CNNs) to build texture representations. Nevertheless, it is still unclear how these models represent texture and invariances to categorical variations. This work conducts a systematic evaluation of recent CNN-based texture descriptors for recognition and attempts to understand the nature of invariances captured by these representations. First we show that the recently proposed bilinear CNN model [25] is an excellent generalpurpose texture descriptor and compares favorably to other CNN-based descriptors on various texture and scene recognition benchmarks. The model is translationally invariant and obtains better accuracy on the ImageNet dataset without requiring spatial jittering of data compared to corresponding models trained with spatial jittering. Based on recent work [13, 28] we propose a technique to visualize pre-images, providing a means for understanding categorical properties that are captured by these representations. Finally, we show preliminary results on how a unified parametric model of texture analysis and synthesis can be used for attribute-based image manipulation, e.g. to make an image more swirly, honeycombed, or knitted. The source code and additional visualizations are available at http://vis-www.cs. umass.edu/texture.
Breath gas aldehydes as biomarkers of lung cancer

There is experimental evidence that volatile substances in human breath can reflect presence of neoplasma. Volatile aldehydes were determined in exhaled breath of 12 lung cancer patients, 12 smokers and 12 healthy volunteers. Alveolar breath samples were collected under control of expired CO2. Reactive aldehydes were transformed into stable oximes by means of on‐fiber‐derivatization (SPME‐OFD). Aldehyde concentrations in the ppt and ppb level were determined by means of gas chromatography‐mass spectrometry (GC‐MS). Exhaled concentrations were corrected for inspired values. Exhaled C1–C10 aldehydes could be detected in all healthy volunteers, smokers and lung cancer patients. Concentrations ranged from 7 pmol/l (161 pptV) for butanal to 71 nmol/l (1,582 ppbV) for formaldehyde. Highest inspired concentrations were found for formaldehyde and acetaldehyde (0–55 nmol/l and 0–13 nmol/l, respectively). Acetaldehyde, propanal, butanal, heptanal and decanal concentrations showed no significant differences for cancer patients, smokers and healthy volunteers. Exhaled pentanal, hexanal, octanal and nonanal concentrations were significantly higher in lung cancer patients than in smokers and healthy controls (ppentanal = 0.001; phexanal = 0.006; poctanal = 0.014; pnonanal = 0.025). Sensitivity and specificity of this method were comparable to the diagnostic certitude of conventional serum markers and CT imaging. Lung cancer patients could be identified by means of exhaled pentanal, hexanal, octanal and nonanal concentrations. Exhaled aldehydes reflect aspects of oxidative stress and tumor‐specific tissue composition and metabolism. Noninvasive recognition of lung malignancies may be realized if analytical skills, biochemical knowledge and medical expertise are combined into a joint effort.
Homologous up-regulation of the gonadotropin-releasing hormone receptor in alpha T3-1 cells is associated with unchanged receptor messenger RNA (mRNA) levels and altered mRNA activity.

In primary cultures of rat pituitary, GnRH receptor has been reported to up-regulate when exposed to GnRH. The molecular basis of this regulation could, in theory, involve modulation of gene transcription, RNA processing or stability, translation, and/or receptor degradation. The role of altered biosynthesis was investigated in the mouse gonadotrope cell line, alpha T3-1 cells, by studying the homologous up-regulation of GnRH receptor binding, mRNA levels, and mRNA activity. After GnRH exposure, ligand binding was performed on alpha T3-1 cell membranes. To correlate changes in receptor number and measurements of biosynthetic activity, GnRH receptor mRNA levels were quantitated by solution hybridization/RNase protection assay and Northern blot analysis, and the capacity of RNA from treated cells to direct the synthesis of new receptors (mRNA activity) was evaluated using a Xenopus oocyte-based bioassay. GnRH agonist radioligand binding assay results showed that exposure of alpha T3-1 cells to 10(-10) or 10(-8) M GnRH for 20 min induced an approximately 50% increase in the number of GnRH receptors, similar to previously reported results in rat pituitary primary culture. Despite the increase in receptor number, however, cytosolic and total GnRH receptor mRNA levels assayed by solution hybridization/RNase protection assay with GnRH receptor cRNA probes and by Northern blot analysis were not altered. In contrast to the unchanging mRNA levels, the measurements of mRNA activity paralleled the changes observed at the binding level. alpha T3-1 RNA from treated and control cells were injected into Xenopus oocytes, and the GnRH-induced Cl- current was quantified 48 h later by voltage clamp recording of the response to GnRH. (ABSTRACT TRUNCATED AT 250 WORDS)
Stability Analysis of Robust Multiple Model Adaptive Control

Abstract The Robust Multiple Model Adaptive Control (RMMAC) methodology was first introduced in Fekri et al. [2006] for open-loop stable plants with parametric uncertainty and unmodeled dynamics subjected to external disturbances and measurement noise. This paper addresses the stability of RMMAC systems. We show, using concepts and analysis tools that borrow from Supervisory Control, that all closed-loop signals in a RMMAC system are bounded. It is further shown that robust performance is recovered in steady state.
Developing A Crack Propagation Model in the Metallic Materials from A Self-consistent Coupled Atomistic-Continuum Model

Understanding failure process in metallic materials is crucial to their engineering applications. The complexity of failure analysis origins from the intrinsic nature that failure process couples various mechanisms across multiple spatial and temporal scales. While crack propagation models at macroscopic level such as cohesive zone model have made substantial progress in crack propagation studies, these models performs poorly at micron and sub-micron scale. One major reason is the lacking of representation of microstructure dependence and interaction between cracks and plastic deformations such as dislocation and twinning. There is considerable need to develop a physical based crack propagation model addressing the evolution of deformation mechanisms and the impact on crack propagation. In this dissertation, a novel computational framework is developed to explicitly model the process of crack propagation and associated deformation mechanisms evolution with atomistic resolution. The development starts with building a robust tool to characterize and quantify the evolution of deformation mechanisms in atomistic simulation. To overcome the length scale limitation of pure atomistic simulation methods such as molecular dynamics, a self-consistent atomistic and continuum coupling model is introduced using continuum model in the far eld and atomistic model near crack tip. The coupling is achieved by enforcing geometric compatibility and force equilibrium condition in a weak sense at the
High throughput multitransform and multiparallelism IP for H.264/AVC video compression standard

This paper presents the design of a high throughput multitransform and multiparallelism IP for H.264/AVC standard. This solution supports the five H.264/AVC transforms and it supports five different levels of parallelism. The proposed architecture were described in VHDL and synthesized to Altera Stratix and Xilinx Virtex-II Pro FPGAs and to TSMC 0.35mum standard cells. The multitransform and multiparallelism architecture mapped to FPGAs could process from 124 millions to 3.2 billions of samples per second, depending on the parallelism level selected. The standard cells version could process from 218.7 millions to 3.5 billions of samples per second. These results indicate that the proposed solution presents a high flexibility and that this solution is able to be used in various H.264/AVC codecs with different performance requirements. The performance results of all experiments realized indicated that this architecture is able to be used in high definition applications, like HDTV
Neurophysiology of Cochlear Implant Users II: Comparison Among Speech Perception, Dynamic Range, and Physiological Measures

Objective The overall objective of this study was to relate electrically evoked potentials recorded from different levels of the auditory pathway with behavioral measures obtained from adult cochlear implant subjects. The hypothesis was that adult recipients of cochlear implants who have open-set speech perception and those recipients with no open-set speech perception would differ in their neurophysiologic responses recorded at one or more levels of the auditory pathway. Design The subjects were 11 adults implanted with the Clarion cochlear implant. The electrical auditory brainstem response (EABR, Wave V), electrical auditory middle latency response (EAMLR, Na-Pa complex), and the electrical late auditory response (ELAR, N1-P2 complex), were recorded from three intra-cochlear electrodes. The stimuli used to record the evoked potentials varied in rate and amplitude. Behavioral measures (between threshold and upper limit of comfortable loudness) were used to define the subject's dynamic range at the different stimulus rates. Word and sentence recognition tests evaluated subjects’ speech perception in quiet and noise. Evoked potential and behavioral measures were examined for statistical significance using analysis of variance for repeated measures and correlational analyses. Results Subjects without open-set speech recognition demonstrated 1) poorly formed or absent evoked potential responses, 2) reduced behavioral dynamic ranges, 3) lack of change in the size of the dynamic range with a change in stimulus rate, and 4) longer periods of auditory deprivation. The variables that differentiated the best performers included 1) presence of responses at all three levels of the auditory pathway, with large normalized amplitudes for the EAMLR, 2) lower evoked potential thresholds for the Na-Pa complex, 3) relatively large dynamic ranges, and 4) changes in the size of the dynamic range with changes in stimulus rate. Conclusions In this study, the inability to follow changes in the temporal characteristics of the stimulus was associated with poor speech perception performance. Results also illustrate that variability in speech perception scores of cochlear implant recipients relates to neurophysiologic responses at higher cortical levels of the auditory pathway. Presumably, limited neural synchrony for elicitation of electrophysiologic responses underlies limited speech perception. Results confirm that neural encoding with electrical stimulation must provide sufficient physiologic responses of the central nervous system to perceive speech through a cochlear implant.
Continuous-Time Deadbeat $H_{2}$ FIR Filter

This brief proposes a new continuous-time state–space <inline-formula> <tex-math notation="LaTeX">${H} _{ 2}$ </tex-math></inline-formula> finite impulse response (FIR) filter with the embedded deadbeat property for linear systems undergoing external disturbances. The new filter is called the continuous-time deadbeat <inline-formula> <tex-math notation="LaTeX">${H} _{ 2}$ </tex-math></inline-formula> FIR filter (CTDH2FF). The proposed filter demonstrates <inline-formula> <tex-math notation="LaTeX">${H} _{ 2}$ </tex-math></inline-formula> performance under disturbances and the deadbeat property otherwise. The CTDH2FF can be implemented by solving two matrix differential equations for given boundary conditions. A new formula for the minimum <inline-formula> <tex-math notation="LaTeX">${H} _{ 2}$ </tex-math></inline-formula> norm of the CTDH2FF is also discussed. Numerical simulations show that the proposed filter has much better robustness against unexpected short-term model changes than the existing filters.
Temi di Discussione ( Working Papers ) Switching costs in local credit markets

Switching costs are a key determinant of market performance. This paper tests their existence in the corporate loan market in which they are likely to play a central role because of the complexity of contracts and informational problems. Using very detailed data at bankfirm level on four Italian local credit markets we empirically show that firms tend to iterate their choice of the main bank over time. This inertia is not related to unobserved and time invariant preferences of firms across banks and can be attributed to the existence of switching costs. We also offer evidence that banks price discriminate between new and old borrowers by charging lower interest rates to the former in order to cover part of the switching costs. The discount is about 44 basis points, equal to 7 per cent of the average interest rate. These results prove robust to a number of other potential identification drawbacks. JEL Classification: L13, G21.
Discriminative validity of a parent version of the Young Mania Rating Scale.

OBJECTIVE To examine the usefulness of a parent report version of the Young Mania Rating Scale (P-YMRS) in distinguishing bipolar disorder from other mental health conditions in children and adolescents. METHOD Parents of 117 youths aged 5 to 17 years presenting to an outpatient research center completed an adapted Young Mania Rating Scale (P-YMRS). Eligible subjects underwent a diagnostic evaluation including a semistructured instrument (Schedule for Affective Disorders and Schizophrenia for School-Age Children) and also a clinical evaluation by a child and adolescent psychiatrist in more than 75% of the subjects. RESULTS Factor analyses of the P-YMRS suggested one dimension, with a total score showing acceptable internal consistency (alpha =.75). Logistic regressions discriminated bipolar mood disorder versus unipolar disorder, versus disruptive behavior disorder, and versus any other diagnosis. Classification rates exceeded 78%, and receiver operating characteristics analyses showed good diagnostic efficiency, with areas under the curve greater than 0.82. CONCLUSIONS The P-YMRS may be used to derive clinically meaningful information about mood disorders in youths.
Discrete-time approximations of the Holmström-Milgrom brownian-motion model of intertemporal incentive provision

This paper studies the relation between multi-period discrete-time and continuous-time principal-agent models. We explicitly derive the continuous-time model as a limit of discrete-time models with ever shorter periods and show that the optimal incentive scheme in the continuous model, which is linear in accounts, can be approximated by a sequence of optimal incentive schemes in the discrete models. For a variant of the discrete-time model in which the principal observes only total profits at the end of the last period and where the agent can destroy profits unnoticed we show, that if the length of each period is sufficiently small, then an incentive scheme that is linear in total profits is approximately optimal.
Facial Recognition with 2D Color Barcodes

We introduce a novel use of 2D barcodes for storing facial biometrics. To accomplish this, we design 2D color barcodes with larger storage capabilities than traditional 2D barcodes. Biometric data are secured through digital signature so as to be protected from malicious tampering. In order to improve the quality of facial recognition, we combine eigenfaces, shape landmarks identified through statistical models and local features such as SURF descriptors. The use of color barcodes is crucial in this setting, as traditional barcodes cannot store all data required for discriminating faces (e.g., a suitable number of SURF descriptors). We report the results of an experimental evaluation of our system on real-world datasets (i.e., a face database). In spite of the reduced storage available on 2D barcodes, we do not observe any degradation in precision and accuracy.
Cercosporoid leaf pathogens from whorled milkweed and spineless safflower in California

Two cercosporoid species are respectively described from Mexican whorled milkweed (Asclepias fascicularis), and spineless safflower (Carthamus tinctorius) from California. Passalora californica represents a new pathogen on Asclepias fascicularis, while Ramularia cynarae is confirmed on Carthamus tinctorius and Cynara cardunculus (Asteraceae), and an epitype designated. Pathogenicity is also established for both pathogens based on Koch’s postulate.
The Effects of Pay for Performance on Disparities in Stroke, Hypertension, and Coronary Heart Disease Management: Interrupted Time Series Study

Background The Quality and Outcomes Framework (QOF), a major pay-for-performance programme, was introduced into United Kingdom primary care in April 2004. The impact of this programme on disparities in health care remains unclear. This study examines the following questions: has this pay for performance programme improved the quality of care for coronary heart disease, stroke and hypertension in white, black and south Asian patients? Has this programme reduced disparities in the quality of care between these ethnic groups? Did general practices with different baseline performance respond differently to this programme? Methodology/Principal Findings Retrospective cohort study of patients registered with family practices in Wandsworth, London during 2007. Segmented regression analysis of interrupted time series was used to take into account the previous time trend. Primary outcome measures were mean systolic and diastolic blood pressure, and cholesterol levels. Our findings suggest that the implementation of QOF resulted in significant short term improvements in blood pressure control. The magnitude of benefit varied between ethnic groups with a statistically significant short term reduction in systolic BP in white and black but not in south Asian patients with hypertension. Disparities in risk factor control were attenuated only on few measures and largely remained intact at the end of the study period. Conclusions/Significance Pay for performance programmes such as the QOF in the UK should set challenging but achievable targets. Specific targets aimed at reducing ethnic disparities in health care may also be needed.
Pairwise constraint propagation by semidefinite programming for semi-supervised classification

We consider the general problem of learning from both pairwise constraints and unlabeled data. The pairwise constraints specify whether two objects belong to the same class or not, known as the must-link constraints and the cannot-link constraints. We propose to learn a mapping that is smooth over the data graph and maps the data onto a unit hypersphere, where two must-link objects are mapped to the same point while two cannot-link objects are mapped to be orthogonal. We show that such a mapping can be achieved by formulating a semidefinite programming problem, which is convex and can be solved globally. Our approach can effectively propagate pairwise constraints to the whole data set. It can be directly applied to multi-class classification and can handle data labels, pairwise constraints, or a mixture of them in a unified framework. Promising experimental results are presented for classification tasks on a variety of synthetic and real data sets.
Forest fragmentation severs mutualism between seed dispersers and an endemic African tree

Because bird species are lost when forests are fragmented into small parcels, trees that depend on fruit-eating birds for seed dispersal may fail to recruit seedlings if dispersal agents disappear. We tested this prediction in rainforest in the East Usambara Mountains of Tanzania, by using the endemic tree Leptonychia usambarensis (Sterculiaceae) and birds that disperse its seeds. We investigated bird abundance and Leptonychia dispersal ecology in fragments isolated for >70 yr, as compared with 3,500 ha of continuous forest. Birds that dispersed Leptonychia seeds in continuous forest were rare or absent in small fragments, where fewer seeds were removed from each tree, far fewer seedlings occurred >10 m from parent trees, and far more seedlings occurred in dense aggregations under parental crowns. Overall, our samples showed that fewer juvenile Leptonychia recruited in fragments than in continuous forest. We provide solid evidence that deficient dispersal due to habitat fragmentation seriously impacts the reproductive cycle of a tropical bird-dispersed tree.
No Guarantees, No Trade: How Banks Affect Export Patterns

Employing new data on U.S. banks' trade-finance claims by country, this paper estimates the effect of letter-of-credit supply shocks on U.S. exports. We show that a one-standard deviation negative shock to a country's letter-of-credit supply reduces U.S. exports to that country by 1.5 percentage points. This effect is driven by countries that are small and where few banks are active. It more than doubles during the 2007-09 crisis. The provision of letters of credit is highly concentrated and banks are geographically specialized. Therefore, shocks to individual banks can have sizable effects in the aggregate and affect trade patterns.
Multi-Granularity Chinese Word Embedding

This paper considers the problem of learning Chinese word embeddings. In contrast to English, a Chinese word is usually composed of characters, and most of the characters themselves can be further divided into components such as radicals. While characters and radicals contain rich information and are capable of indicating semantic meanings of words, they have not been fully exploited by existing word embedding methods. In this work, we propose multi-granularity embedding (MGE) for Chinese words. The key idea is to make full use of such word-character-radical composition, and enrich word embeddings by further incorporating ﬁner-grained semantics from characters and radicals. Quantitative evaluation demonstrates the superiority of MGE in word similarity computation and analogical reasoning. Qualitative analysis further shows its capability to identify ﬁner-grained semantic meanings of words.
Recurrence of endometriosis after hysterectomy

Aim: Persistent or recurrent pain after hysterectomy is one of the most frustrating clinical scenarios in benign gynaecology. We attempt to review the current evidence regarding the recurrence of pelvic pain after hysterectomy for endometriosis. The impact of ovarian conservation, type of hysterectomy and the extent of surgical excision were analysed. Methods: Peer reviewed published manuscripts in the English language in the period between 1980 and 2014 were reviewed using Pubmed and science direct regarding the incidence, causes and recurrence of endometriosis. Results: Sixty-seven articles were identified. Incomplete excision of endometriosis is the most predominant reason in the literature for the recurrence of endometriosis, and the type of Hysterectomy affects the recurrent symptoms mainly by impacting the extent of excision of the lesion. Ovarian cyst drainage is associated with the highest rate of ovarian cyst reformation within three to six months after surgery. The use of hormone replacement therapy is associated with recurrence of pelvic pain in 3.5% of cases. No studies addressed the recurrence of endometriosis after standard vs robotic assisted hysterectomy. Conclusion: A high recurrence rate of 62% is reported in advanced stages of endometriosis in which the ovaries were conserved. Ovarian conservation carries a 6 fold risk of recurrent pain and 8 folds risk of reoperation. The decision has to be weighed taking into consideration the patient’s age and the impact of early menopause on her life style. The recurrence of endometriosis symptoms and pelvic pain are directly correlated to the surgical precision and removal of peritoneal and deeply infiltrated disease. Surgical effort should always aim to eradicate the endometriotic lesions completely to keep the risk of recurrence as low as possible.