Miracle-dz/UniFAR-FTUs huggingface dataset:
Compact quadruple-mode UWB bandpass filter using open stub loaded multiple-mode resonator

In this paper, a compact quadruple-mode ultrawideband (UWB) bandpass filter (BPF) is designed by using open stub loaded multiple-mode resonator (MMR). The proposed MMR possesses the advantage that odd-mode resonance frequencies exclusively depend on the traditional MMR; even-mode resonance frequencies can be flexibly controlled by impedance-stepped stub, whereas the odd-mode ones are fixed. By simply adjusting the dimension of the impedance-stepped stub, the fourth resonant mode falls down and works together with the first three modes to form a novel quadruple-mode UWB filter. Two other pairs of open stubs are mainly applied to adjust the high resonant modes and obtain good match, respectively. The filter using open stub loaded MMR is simulated, fabricated and measured. The EM simulated and measured results are presented and excellent agreement between them is obtained.
ARE EMILY AND GREG MORE EMPLOYABLE THAN LAKISHA AND JAMAL ?

We perform a field experiment to measure racial discrimination in the labor market. We respond with fictitious resumes to help-wanted ads in Boston and Chicago newspapers. To manipulate perception of race, each resume is assigned either a very African American sounding name or a very White sounding name. The results show significant discrimination against African-American names: White names receive 50 percent more callbacks for interviews. We also find that race affects the benefits of a better resume. For White names, a higher quality resume elicits 30 percent more callbacks whereas for African Americans, it elicits a far smaller increase. Applicants living in better neighborhoods receive more callbacks but, interestingly, this effect does not differ by race. The amount of discrimination is uniform across occupations and industries. Federal contractors and employers who list “Equal Opportunity Employer” in their ad discriminate as much as other employers. We find little evidence that our results are driven by employers inferring something other than race, such as social class, from the names. These results suggest that racial discrimination is still a prominent feature of the labor market. Marianne Bertrand Sendhil Mullainathan Graduate School of Business MIT University of Chicago 50 Memorial Drive, E52-380a 1101 East 58 Street, R0229D Cambridge, MA 02142 Chicago, IL 60637 and NBER and NBER mullain@mit.edu marianne.bertrand@gsb.uchicago. edu
New form of X-linked dominant hereditary nephritis in dogs.

OBJECTIVE To determine features of a new form of hereditary nephritis (HN) in dogs. ANIMALS Parents and 16 first-generation offspring (8 males, 8 females). PROCEDURE Adolescent dogs that developed renal failure were euthanatized and necropsied. Unaffected dogs were monitored until they were at least 2 years old. Studies included light and electron microscopy of kidneys obtained from affected and unaffected dogs and immunolabeling for collagen-IV chains in renal and epidermal basement membranes (BM). The nucleotide sequence of a portion of exon 35 of the COL4A5 gene was determined in genomic DNA isolated from affected and unaffected males. RESULTS 7 of 8 male and 2 of 8 female offspring had proteinuria and juvenile-onset chronic renal failure, which progressed more rapidly in the males. Labeling for alpha3-alpha6(IV) chains was completely absent in renal BM of affected males and segmentally absent in affected females. Expression of alpha1-alpha2(IV) chains in glomerular BM (GBM) of affected dogs was increased. Labeling for alpha5-alpha6(IV) chains in epidermal BM was absent in affected males and segmental in affected females. Ultrastructural changes characteristic of HN were observed in GBM of affected dogs. The sequence of exon 35 of COL4A5 was normal in affected dogs. CONCLUSIONS This renal disease is an example of X-linked dominant HN, with typical abnormalities of GBM ultrastructure and alpha(IV) chain expression. CLINICAL RELEVANCE AND IMPLICATIONS FOR HUMAN MEDICINE: Dogs with this naturally acquired progressive renal disease can be used to investigate the pathogenesis and treatment of similar disorders in human beings and dogs.
Acceptance and Change

Both dialectical behavior therapy (DBT) and mindfulness-based cognitive therapy (MBCT) include training in mindfulness skills and address the synthesis of acceptance and change. DBT is a comprehensive treatment for borderline personality disorder (BPD). MBCT was developed for prevention of relapse in individuals with a history of depressive episodes. Both have considerable empirical support for their efficacy. Many individuals with BPD also suffer from depressive episodes, which can interfere with motivation to participate in DBT. In such cases, it may be helpful to integrate strategies designed to prevent recurrence of depressive episodes. This case study describes integration of MBCT into ongoing DBT in the treatment of an individual with BPD and a history of depressive episodes. Findings suggest that MBCT can be successfully integrated into ongoing DBT in cases in which prevention of depressive episodes is an important goal. Findings also suggest that mindfulness skills may be very helpful in enhancing the efficacy of traditional cognitive-behavioral treatment approaches.
Interactive thickness visualization of articular cartilage

This work describes a method to visualize the thickness of curved thin objects. Given the MRI volume data of articular cartilage, medical doctors investigate pathological changes of the thickness. Since the tissue is very thin, it is impossible to reliably map the thickness information by direct volume rendering. Our idea is based on unfolding of such structures preserving their thickness. This allows to perform anisotropic geometrical operations (e.g., scaling the thickness). However, flattening of a curved structure implies a distortion of its surface. The distortion problem is alleviated through a focus-and-context minimization approach. Distortion is smallest close to a focal point which can be interactively selected by the user.
Location-Based Parallel Tag Completion for Geo-tagged Social Image Retrieval

Benefit from tremendous growth of user-generated content, social annotated tags get higher importance in organization and retrieval of large scale image database on Online Sharing Websites (OSW). To obtain high-quality tags from existing community contributed tags with missing information and noise, tag-based annotation or recommendation methods have been proposed for performance promotion of tag prediction. While images from OSW contain rich social attributes, existing studies only utilize the relations between visual content and tags to construct global information completion models. In this paper, beyond the image-tag relation, we take full advantage of the ubiquitous GPS locations and image-user relationship, to enhance the accuracy of tag prediction and improve the computational efficiency. For GPS locations, we define the popular geo-locations where people tend to take more images as Points of Interests (POI), which are discovered by mean shift approach. For image-user relationship, we integrate a localized prior constraint, expecting the completed tag sub-matrix in each POI to maintain consistency with users' tagging behaviors. Based on these two key issues, we propose a unified tag matrix completion framework which learns the image-tag relation within each POI. To solve the proposed model, an efficient proximal sub-gradient descent algorithm is designed. The model optimization can be easily parallelized and distributed to learn the tag sub-matrix for each POI. Extensive experimental results reveal that the learned tag sub-matrix of each POI reflects the major trend of users' tagging results with respect to different POIs and users, and the parallel learning process provides strong support for processing large scale online image database.
The Organization of Visually Mediated Actions in a Subject without Eye Movements

We investigated the visual strategy of a subject without eye movements (AI), comparing her with normal subjects on the ‘real-life’ task of making a cup of tea. Differences in overall performance were surprisingly few. She took no more time than the controls to complete the tea-making task and the division of the task into object-related actions was essentially similar. However, the way AI look in visual information was very different from the normal subjects who used a typical ‘saccade and fixate’ strategy when moving between and scrutinizing objects. AI made saccades with the head, which were on average 1.5 times larger than the eye-head saccades of the controls and lasted four times as long, meaning that AI would have had impaired vision for more of the time than the controls. She also made only approximately one-third as many saccades as normals during the same task. However, she had another strategy, ‘slow drift’, in which she allowed her eyes to move smoothly across the scene at speeds of up to 30°/s. Such movements were never seen in the controls, and we assume that AI used them to offset the cost in time of the slow head saccades, even though they had their own cost in terms of reduced resolution. We demonstrate that these differences have a minimal effect on the timings of events during an object-related action. We discuss supervisory checking operations within actions, and consider what information is needed for appropriate gaze control during object-related actions.
On morph-based LVCSR improvements

Efficient large vocabulary continuous speech recognition of morphologically rich languages is a big challenge due to the rapid vocabulary growth. To improve the results various subword units called as morphs are applied as basic language elements. The improvements over the word baseline, however, are changing from negative to error rate halving across languages and tasks. In this paper we make an attempt to explore the source of this variability. Different LVCSR tasks of an agglutinative language are investigated in numerous experiments using full vocabularies. The improvement results are compared to pre-existing other language results, as well. Important correlations are found between the morph-based improvements and between the vocabulary growths and the corpus sizes. Index Terms — speech recognition, rich morphology, morph, language modeling, LVCSR
Self-Fulfilling Currency Crises: The Role of Interest Rates

We develop a stylized currency crises model with heterogeneous information among investors and endogenous determination of interest rates in a noisy rational expectations equilibrium. Our model captures three key features of interest rates: the opportunity cost of attacking the currency responds to the investors' behavior; the domestic interest rate may influence the central bank's preferences for a fixed exchange rate; and the domestic interest rate serves as a public signal which aggregates private information about fundamentals. We explore the payoff and informational channels through which interest rates determine devaluation outcomes, and examine the implications for equilibrium selection by global games methods. Our main conclusion is that multiplicity is not an artifact of common knowledge. In particular, we show that multiplicity emerges robustly, either when a devaluation is triggered by the cost of high domestic interest rates as in Obstfeld (1996), or when a devaluation is triggered by the central bank's loss of foreign reserves as in Obstfeld (1986), provided that the domestic asset supply is sufficiently elastic in the interest rate and shocks to the domestic bond supply are sufficiently small.
Febrile Seizures: Guideline for the Neurodiagnostic Evaluation of the Child With a Simple Febrile Seizure

OBJECTIVE: To formulate evidence-based recommendations for health care professionals about the diagnosis and evaluation of a simple febrile seizure in infants and young children 6 through 60 months of age and to revise the practice guideline published by the American Academy of Pediatrics (AAP) in 1996. METHODS: This review included search and analysis of the medical literature published since the last version of the guideline. Physicians with expertise and experience in the fields of neurology and epilepsy, pediatrics, epidemiology, and research methodologies constituted a subcommittee of the AAP Steering Committee on Quality Improvement and Management. The steering committee and other groups within the AAP and organizations outside the AAP reviewed the guideline. The subcommittee member who reviewed the literature for the 1996 AAP practice guidelines searched for articles published since the last guideline through 2009, supplemented by articles submitted by other committee members. Results from the literature search were provided to the subcommittee members for review. Interventions of direct interest included lumbar puncture, electroencephalography, blood studies, and neuroimaging. Multiple issues were raised and discussed iteratively until consensus was reached about recommendations. The strength of evidence supporting each recommendation and the strength of the recommendation were assessed by the committee member most experienced in informatics and epidemiology and graded according to AAP policy. CONCLUSIONS: Clinicians evaluating infants or young children after a simple febrile seizure should direct their attention toward identifying the cause of the child's fever. Meningitis should be considered in the differential diagnosis for any febrile child, and lumbar puncture should be performed if there are clinical signs or symptoms of concern. For any infant between 6 and 12 months of age who presents with a seizure and fever, a lumbar puncture is an option when the child is considered deficient in Haemophilus influenzae type b (Hib) or Streptococcus pneumoniae immunizations (ie, has not received scheduled immunizations as recommended), or when immunization status cannot be determined, because of an increased risk of bacterial meningitis. A lumbar puncture is an option for children who are pretreated with antibiotics. In general, a simple febrile seizure does not usually require further evaluation, specifically electroencephalography, blood studies, or neuroimaging.
Mislocalization of BRCA1-complex due to ABRAXAS Arg361Gln mutation

ABRAXAS is an integral member of BRCA1-complex, which helps in its recruitment to the DNA damage site. It interacts with BRCA1 via its C-terminal phospho-peptide binding motif while the N-terminal associates with RAP80, and thereby recruits the BRCA1-complex at the site of DNA damage. Nonetheless, how ABRAXAS helps in the structural integrity of BRCA1-complex, and its DNA repair mechanism remains elusive. To elucidate the role of ABRAXAS in the DNA repair process, we characterized the ABRAXAS wild type and Arg361Gln mutant using in silico and in vitro approach. It has been observed that ABRAXAS Arg361Gln mutant is responsible for defective nuclear localization of BRCA1-complex, and hence important for DNA repair function. We found conformational changes in ABRAXAS mutant, which impaired binding to RAP80 and further disturb BRCA1-complex localization. The results presented in this paper will help to understand the cause of BRCA1 mislocalization, and various DNA repair defects that occur due to substitution. Comparative study of ABRAXAS wild type and mutant will provide helpful perspective for inhibitor designing that can potentially recompense the deleterious effect(s) of Arg361Gln mutation, and have therapeutic application.
MAILComp - New Compression Method Designed for Electric Mail Transfer Protocols over TLS

TLS (Transport Layer Security) is a well-known protocol that provides authentication and private communication for application protocols like HTTP (Hypertext Transfer Protocol). In TLS, data transferred from the upper layer can be compressed before it is encrypted. When an E-mail attached file is transferred over TLS, its compression ratio may be degraded since there are certain restrictions on the transfer of the E-mail, such as the need for text encoding of binary data and the recompression of already compressed data. The authors have already proposed an improved compression method for TLS, however, if compression is combined with encryption, the information concerned may become readable, since the length of the encrypted (and compressed) data might allow eavesdroppers to guess what kind of data are being transferred. In order to solve this problem, this paper proposes a compression method, MAILComp, designed for electric mail transfer protocols such as SMTP (Simple Mail Transfer Protocol), POP (Post Office Protocol), and IMAP (Internet Message Access Protocol) over TLS. From network experiments, compression ratios and file transfer times for four kinds of E-mail were observed, with simulated bandwidth restrictions to represent four typical communication media. The results show that MAILComp will provide an effective secure compression method whose overhead is virtually identical to that of the original compression method for TLS.
Predictors and Moderators of Psychological Distress in Mothers of Children with Pervasive Developmental Disorders

ABSTRACT This study explored potential predictors of psychological distress and moderators of the relation between parenting stress and psychological distress in mothers of children with pervasive developmental disorders (PDDs). Ninety-seven mothers of children diagnosed with autism spectrum disorders completed measures assessing children's functional impairment, parenting stress, number of social supports, satisfaction with social support, parenting sense of competence, number of coping strategies, and maternal psychological distress. Consistent with hypotheses, parenting competence and satisfaction with social support were negatively related to maternal distress. However, number of coping strategies and number of social supports were not significantly related to distress. Regression analyses revealed that number of social supports augmented, rather than moderated, the relation between a composite of children's functional impairment/parenting stress and maternal distress; no other variable significantly moderated this relation. Based on the findings, possible modifications to the existing stress-coping models are considered for mothers of children with autism spectrum disorders, and implications for service providers are discussed.
Robust acoustic feature extraction for sound classification based on noise reduction

In this paper, we present a novel method for environmental sound classification in non-stationary noise environment. The proposed method mainly consists of three stages: noise source separation and acoustic feature extraction and multi-class classification. At first stage, we employ probabilistic latent component analysis (PLCA) to perform time-varying noise separation. To alleviate the artifacts introduced by source separation, a series of spectral weightings is applied to enhance reliability of audio spectra. At feature extraction stage, we extract acoustic subspace to effectively characterize temporal-spectral patterns of denoised sound spectrogram. Subsequently, regularized kernel Fisher discriminant analysis (KFDA) is adopted to conduct multi-class sound classification through exploiting class conditional distributions based on extracted acoustic subspaces (features). The proposed method is evaluated with Real World Computing Partnership (RWCP) sound scene database and experimental results demonstrate its superior performance compared to other methods.
Vitamin A supplementation and neonatal mortality in the developing world: a meta-regression of cluster-randomized trials.

OBJECTIVE To assess the relationship between the prevalence of vitamin A deficiency among pregnant women and the effect of neonatal vitamin A supplementation on infant mortality. METHODS Studies of neonatal supplementation with vitamin A have yielded contradictory findings with regard to its effect on the risk of infant death, possibly owing to heterogeneity between studies. One source of that heterogeneity is the prevalence of vitamin A deficiency among pregnant women, which we examined using meta-regression techniques on eligible individual and cluster-randomized trials. Adapting standard techniques to control for the inclusion of a cluster-randomized trial, we modelled the logarithm of the relative risk of infant death comparing vitamin A supplementation at birth to a standard treatment, as a linear function of the prevalence of vitamin A deficiency in pregnant women. FINDINGS Meta-regression analysis revealed a statistically significant linear relationship between the prevalence of vitamin A deficiency in pregnant women and the observed effectiveness of vitamin A supplementation at birth. In regions where at least 22% of pregnant women have vitamin A deficiency, giving neonates vitamin A supplements will have a protective effect against infant death. CONCLUSION A meta-regression analysis is observational in nature and may suffer from confounding bias. Nevertheless, our study suggests that vitamin A supplementation can reduce infant mortality in regions where this micronutrient deficiency is common. Thus, neonatal supplementation programmes may prove most beneficial in regions where the prevalence of vitamin A deficiency among pregnant women is high.
Solomon: monitoring end-user service levels

To manage distributed applications, we need to accurately monitor end-user service levels. There are two key challenges in monitoring end-user service levels: expressiveness and scalability. There is a big semantic gap between the metrics that administrators want to monitor and the metrics offered by commercial measurement systems. Moreover, it is hard to apply the same kind of metrics to different applications because different applications are likely to offer different types of instrumentation points. We want to apply the same metrics to very large numbers of instrumentation points, which makes scalability a key issue. In this work we present the activity monitoring language (AML) for declaratively specifying metrics, and a run-time system, called Solomon (service level objective monitor), that implements the concepts in AML. Expressiveness is a result of AML, which allows the high-level specification of user-defined metrics in an application-neutral way. Solomon's scalability is a result of reducing events and measurements as close to their physical source as is possible without the loss of accuracy.
Cost–effectiveness of denosumab as a bone protective agent for patients with castration resistant prostate cancer

Fortunately, novel agents are nowadays available for the management of patients with castration-resistant prostate cancer (CRPC). Denosumab is a new bone-protective agent, approved for the prevention and management of skeletal-related events. Studies have demonstrated that denosumab has better efficacy and similar rate of adverse effects in comparison with zoledronic acid, which was the standard bone-protective agent. In the present review we study the cost–effectiveness of denosumab in patients with CRPC.
Complex perceptions of identity: the experiences of student combat veterans in community college

ABSTRACT This qualitative study illustrates how complex perceptions of identity influence the community college experience for student veterans who have been in combat, creating barriers to their overall persistence. The collective experiences of student combat veterans at two community colleges in northwestern Massachusetts are presented, and a Combat Veteran Conceptual Identity Model to illustrate the ongoing negotiation of identity combat veterans experience while in college is introduced. Notable implications for future research and practice in Student Affairs are discussed.