Miracle-dz/UniFAR-FTUs huggingface dataset:
Decision Rules and Associated Sample Size Planning for Regional Approval Utilizing Multiregional Clinical Trials

Multiregional clinical trials provide the potential to make safe and effective medical products simultaneously available to patients globally. As regulatory decisions are always made in a local context, this poses huge regulatory challenges. In this article we propose two conditional decision rules that can be used for medical product approval by local regulatory agencies based on the results of a multiregional clinical trial. We also illustrate sample size planning for such trials.
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification

In this paper we present the system for Answer Selection and Ranking in Community Question Answering, which we build as part of our participation in SemEval-2017 Task 3. We develop a Support Vector Machine (SVM) based system that makes use of textual, domain-specific, word-embedding and topic-modeling features. In addition, we propose a novel method for dialogue chain identification in comment threads. Our primary submission won subtask C, outperforming other systems in all the primary evaluation metrics. We performed well in other English subtasks, ranking third in subtask A and eighth in subtask B. We also developed open source toolkits for all the three English subtasks by the name cQARank [https://github.com/TitasNandi/cQARank].
Quantum limit of direct-detection receivers using duobinary transmission

In this letter, a rigorous analysis defining the fundamental limits of direct-detection optically preamplified receivers using duobinary transmission is presented, showing that the quantum limit of duobinary can exceed that of IMDD by 0.91 dB. In addition, we show through simulation that a practical duobinary implementation can closely approach such performance.
A character recognition mobile app for interactive learning

Many of the learning resources are mainly based on either physical materials, electronic devices/software or the internet. There is usually no interaction between the printed materials and the digital information. We propose to use the mobile devices to help readers, especially students, to learn the meanings of some unknown/unfamiliar characters and idioms on their printed materials (e.g. textbooks). What they have to do is just to activate the app's camera and point it to the word or idiom that they do not understand, and a dictionary of the word/idiom with audio support will be provided on the screen as shown in Figure 1. Although we demonstrate our app on chinese characters in this paper, it can be applied to other languages. With this app, textbook learning can be so much more fun, easy and interactive.
Performance Analysis of Generalized Sort, Switch, and Examine Combining

Examples of low-complexity diversity combining schemes are, among others, the generalized selection combining (GSC) scheme and the generalized switch-and-examine combining (GSEC). In this paper, we propose a new low-complexity combining scheme, termed generalized sort-switch-and-examine combining (GSSEC), that, in a sense, can be considered as a hybrid GSC/GSEC scheme. A generic expression for the moment-generating function of the GSSEC output SNR in general independent, identically distributed fading channels is derived, and is then applied to the analysis of its error performance
Grocery shopping

Stop and Shop [3] 150 Whalley Avenue [4] typical American grocery store, on the weekend Yale shuttle line [5]. Elm City Market [6] 777 Chapel Street [7] Co-op grocery with many natural and organic options. Hong Kong Grocery 71 Whitney Avenue [8] Traditional Chinese supermarket with fresh produce, fresh fish and all the Asian staples. Edge of the Woods [9] 379 Whalley Avenue [10] Natural and organic offerings such as produce, dry bulk goods, healthcare, and more. City Seed Farmer's Markets [11] Multiple Locations
Aaem minimonograph #48: Autonomic nervous system testing

The autonomic nervous system maintains internal homeostasis by regulating cardiovascular, thermoregulatory, gastrointestinal, genitourinary, exocrine, and pupillary function. Testing and quantifying autonomic nervous system function is an important but difficult area of clinical neurophysiology. Tests of parasympathetic cardiovagal regulation include heart rate analysis during standing (the 30:15 ratio), heart rate variation with deep breathing, and the Valsalva ratio. Tests of sympathetic adrenergic vascular regulation include blood pressure analysis while standing, the Valsalva maneuver, sustained handgrip, mental stress, and cold water immersion. Tests of sympathetic cholinergic sudomotor function include the sympathetic skin response, quantitative sudomotor axon reflex test, sweat box testing, and quantification of sweat imprints. Pupil function is tested pharmacologically and with pupillographic techniques. Tests of gastrointestinal and genitourinary function do not satisfactorily isolate autonomic regulation from their other functions. The available tests have various sensitivities and ease of administration. They are typically administered in a battery of multiple tests, which improves sensitivity and reliability, and allows probing of various autonomic functions. © 1997 American Association of Electrodiagnostic Medicine. Published by John Wiley & Sons, Inc. Muscle Nerve 20: 919–937 1997.
Stellar data classification using SVM with wavelet transformation

This paper presents a novel stellar spectra recognition technique, which is based on a wavelet transform and support vector machines. Due to the very low signal-to-noise ratio of real world spectral data, a de-noising method for stellar spectra is proposed using a wavelet transform based on the traditional threshold technique. Then support vector machines are adopted to complete the classification. Features in the spatial and wavelet domain are extracted and then used as input of support vector machines. Experimental results show that our technique is robust against noise and efficient in computation. The obtained correct classification rate of the proposed methods is much higher than using either a support vector machine alone or the principle component analysis feature extraction method.
DESIGN SPLIT RING RESONATORS ON MICROWAVE LOW PASS FILTERS

Stepped Impedance microwave low pass filter design using conventional structure and split ring resonators (SRRs) structure is presented in this paper. The conventional stepped impedance low pass filter with cutoff frequency 1.9GHz is proposed and low impedance line in conventional design replaced by split ring resonator (SRR) to get compact, low insertion loss(IL), sharp cutoff, and high selectivity LPF. The multi ring SRR offers the possibility of designing multi-band filters with a small size and simple structure. These new filter designs have better results compared to conventional counterpart. The simulated results indicate that a flat pass band achieve without ripples, corresponding to number of rings of SRR structure. The circuit was simulated using IE3D simulator and the Flame Retardant 4 (FR-4) substrate with dielectric constant εr = 4.4 were used as a core material in this design.
[Microcomputer analysis of finger tapping as a measure of cerebellar dysfunction].

As a simple and practical method to measure cerebellar dysfunction, finger tapping was quantitatively analysed with the use of an 8 bit micro-computer. The subject was asked to tap with the index finger on the calibration switch of a conventional EKG apparatus for 30 sec with their best tempo and rhythm. The switch was connected to a micro-computer which measured the tapping interval and calculate their average (I) and standard deviation (SD). The SD was further standardized by a percentage of the average interval ((SD/I)×100 = SD%). These parameters were displayed on a TV-monitor and were recorded on a line-printer and on magnetic tape. This test was applied to three groups of subjects: 111 normal subjects, seven patients of cerebellar hemorrhage, and 18 patients of parkinsonism. In normal subjects, I was 172.9 ± 29.3 msec and SD was 13.3 ± 10.6%. In cerebellar hemorrhage patients, I = 337.4 ± 85.7 msec and SD = 34.6 ± 29.9%, while in parkinsonism patients, I = 414.5 ± 284.7 msec and SD = 12.1 ± 11.4%. The correlation between I and SD was statistically analysed. Differences were significant between all three groups. In summary, this test was simple and effective for the quantitative and chronological analysis of cerebellar function.
Block-Wise Transfers in the Constrained Application Protocol (CoAP)

The Constrained Application Protocol (CoAP) is a RESTful transfer protocol for constrained nodes and networks. Basic CoAP messages work well for small payloads from sensors and actuators; however, applications will need to transfer larger payloads occasionally -- for instance, for firmware updates. In contrast to HTTP, where TCP does the grunt work of segmenting and resequencing, CoAP is based on datagram transports such as UDP or Datagram Transport Layer Security (DTLS). These transports only offer fragmentation, which is even more problematic in constrained nodes and networks, limiting the maximum size of resource representations that can practically be transferred. Instead of relying on IP fragmentation, this specification extends basic CoAP with a pair of "Block" options for transferring multiple blocks of information from a resource representation in multiple request-response pairs. In many important cases, the Block options enable a server to be truly stateless: the server can handle each block transfer separately, with no need for a connection setup or other server-side memory of previous block transfers. Essentially, the Block options provide a minimal way to transfer larger representations in a block-wise fashion. A CoAP implementation that does not support these options generally is limited in the size of the representations that can be exchanged, so there is an expectation that the Block options will be widely used in CoAP implementations. Therefore, this specification updates RFC 7252.
Effects of progestagen treatment on concentrations of prostaglandins and oxytocin in plasma from the posterior vena cava of post-partum beef cows.

The role of PGF-2 alpha in determining the lifespan of corpora lutea in the post-partum beef cow was investigated. In control cows (N = 5) induced to ovulate at Day 28 to 36 post partum by injection of 1000 i.u. hCG, corpora lutea had an average lifespan of only 8 days. In cows pretreated with 6 mg implants of a progestagen (norgestomet, N = 4) for 9 days, with implant removal 2 days before injection of hCG, luteal lifespan averaged 17.5 days. Concentrations of PGF-2 alpha in 9 hourly samples of plasma collected from the posterior vena cava via indwelling catheters were higher on Days 4 through 9 after injection of hCG (P less than 0.05) in the cows with short-lived corpora lutea. Greater release of PGF-2 alpha could therefore be a major factor in premature luteal regression. Concentrations of PGFM and oxytocin did not differ between cows with corpora lutea of short or normal lifespan. In a second experiment, concentrations of PGF-2 alpha in plasma from the posterior vena cava were examined during treatment with norgestomet (N = 8) or in contemporary controls (N = 7). In progestagen-treated cows, PGF-2 alpha was higher than in control cows (P less than 0.05), beginning on Day 3 of treatment and peaking on Day 5. It is concluded that the post-partum uterus increases secretion of PGF-2 alpha very early after first exposure to endogenous or exogenous progestagen.
Guidelines for management of chronic obstructive pulmonary disease (COPD) in India: a guide for physicians (2003).

There are over 40 different guidelines from different countries on diagnosis and management of chronic obstructive pulmonary disease (COPD). The guidelines formulated by the Global Initiative for chronic obstructive lung disease (GOLD) are perhaps the most popular and global in nature. The need to formulate a different set of guidelines for India was felt because of the differences in risk factors, disease prevalence and pattern, and above all, the different overall health-care infrastructure. Moreover a large burden of tuberculosis, which is an important cause of cough, adds to the difficulties of diagnosis and management.
Análise dos métodos semi-empíricos utilizados para a estimativa da capacidade de carga de estacas pré-fabricadas com base em resultados de ensaios de carregamento dinâmico.

RESUMO: O trabalho tem por objetivo comparar os valores de capacidade de carga previstos atraves de metodos semi-empiricos de estacas pre-fabricadas cravadas em regiao de solo mole com os valores determinados atraves de provas de carga dinâmicas. Para atingir este objetivo serao analisadas estacas de concreto protendido com secao transversal quadrada 230mm x 230mm, utilizadas como fundacao de habitacoes populares em uma obra promovida pela Companhia de Desenvolvimento Habitacional e Urbano do Estado de Sao Paulo (CDHU), na cidade de Cubatao, Sao Paulo. Os metodos empiricos utilizados no trabalho sao os metodos de “Decourt e Quaresma”, “Aoki e Velloso” na sua proposta original e proposta modificada por Aoki; todos utilizam resultados de sondagens a percussao de simples reconhecimento. Tambem foi utilizado o metodo de Chellis e Velloso para estimativa da capacidade de carga atraves de criterios dinâmicos de cravacao. Estes valores de capacidade de carga serao comparados aos obtidos atraves de uma serie de ensaios de carregamento dinâmico tendo como foco a distribuicao da capacidade de carga ao longo do comprimento da estaca, atraves das analises CAPWAP. Estes ensaios sao localizados proximos aos respectivos furos de sondagens cujos resultados foram utilizados para previsao da capacidade de carga.
Dietary Intake of Vegetables, Fruits, and Meats/Beans as Potential Risk Factors of Acute Myeloid Leukemia: A Texas Case-Control Study

Diet has been identified as a risk factor for some cancers, but its role in adult de novo acute myeloid leukemia (AML) is unclear. This study was conducted at the University of Texas MD Anderson Cancer Center to evaluate associations between consumption of vegetables, fruits, and meats with AML risk among Texas residents. All participants, 323 adult de novo AML cases and 380 frequency-matched controls, completed demographic and food frequency questionnaires. Overall, AML risk was significantly decreased among those who consumed the most dark green vegetables, seafood, and nuts/seeds; and it was significantly increased among greatest consumers of red meat. Among men, AML risk was lowest among those whose consumption was in the highest quartile for fruits [odds ratio (OR) = 0.25, 95% confidence interval (CI) = 0.10–0.69], poultry (OR = 0.28, 95%CI = 0.10–0.78), and seafood (OR = 0.39, 95%CI = 0.16–0.96) compared to those in the lowest. Among women, risk was lowest among those whose consumption was in the highest quartile of dark-green vegetables (OR = 0.28, 95%CI = 0.12–.68), orange vegetables (OR = 0.40, 95%CI = 0.17–.96) and nuts/beans (OR = 0.26, 95%CI = 0.11–0.60). Based on these findings, interventions can be developed to modify intake of specific dietary components to reduce cancer risk.
Reactive sub-nanometer displacement sensors: Advantages and limitations

In this paper we present the results of an investigation on the performance of eddy-current and capacitive sensors for measuring very small displacements in the sub-nanometer range. The term “reactive sensor” is used as a generic name for inductive sensors (L) using the magnetic field, and capacitive sensors (C) using the electric field, to convert displacement into electrical signals. The need for an accurate displacement/position measurement in such extremely small scales as nanometers and picometers has increased significantly over the last few years. Application examples can be found in the high-tech industry, metrology, and space equipment. This study is based on our recent development results, as well as on the latest reports found in the literature. The goal of the paper is to analyze the commonalities between these two types of sensors, as well as the main performance differences and limitations which define the preferred choice for a specific application. The comparative assessment is done based on both theoretical analysis and experimental results. The main performance criteria used are: sensitivity, resolution, compactness, long-term stability, thermal drift, power efficiency. To the best of our knowledge, such a systematic comparison has not been done yet.
Adversarial Image Alignment and Interpolation

Volumetric (3d) images are acquired for many scientific and biomedical purposes using imaging methods such as serial section microscopy, CT scans, and MRI. A frequent step in the analysis and reconstruction of such data is the alignment and registration of images that were acquired in succession along a spatial or temporal dimension. For example, in serial section electron microscopy, individual 2d sections are imaged via electron microscopy and then must be aligned to one another in order to produce a coherent 3d volume. State of the art approaches find image correspondences derived from patch matching and invariant feature detectors, and then solve optimization problems that rigidly or elastically deform series of images into an aligned volume. Here we show how fully convolutional neural networks trained with an adversarial loss function can be used for two tasks: (1) synthesis of missing or damaged image data from adjacent sections, and (2) fine-scale alignment of block-face electron microscopy data. Finally, we show how these two capabilities can be combined in order to produce artificial isotropic volumes from anisotropic image volumes using a super-resolution adversarial alignment and interpolation approach.
Dissecting the Genetic Heterogeneity of Depression Through Age at Onset

Genome‐wide studies in major depression have identified few replicated associations, potentially due to heterogeneity within the disorder. Several studies have suggested that age at onset (AAO) can distinguish sub‐types of depression with specific heritable components. This paper investigates the role of AAO in the genetic susceptibility for depression using genome‐wide association data on 2,746 cases and 1,594 screened controls from the RADIANT studies, with replication performed in 1,471 cases and 1,403 controls from two Munich studies. Three methods were used to analyze AAO: First a time‐to‐event analysis with controls censored, secondly comparing controls to case‐subsets defined using AAO cut‐offs, and lastly analyzing AAO as a quantitative trait. In the time‐to‐event analysis three SNPs reached suggestive significance (P < 5E−06), overlapping with the original case–control analysis of this study. In a case–control analysis using AAO thresholds, SNPs in 10 genomic regions showed suggestive association though again none reached genome‐wide significance. Lastly, case‐only analysis of AAO as a quantitative trait resulted in 5 SNPs reaching suggestive significance. Sex specific analysis was performed as a secondary analysis, yielding one SNP reaching genome‐wide significance in early‐onset males. No SNPs achieved significance in the replication study after correction for multiple testing. Analysis of AAO as a quantitative trait did suggest that, across all SNPs, common genetic variants explained a large proportion of the variance (51%, P = 0.04). This study provides the first focussed analysis of the genetic contribution to AAO in depression, and establishes a statistical framework that can be applied to a quantitative trait underlying any disorder. © 2012 Wiley Periodicals, Inc.
Performance evaluation of photovoltaic solar system with different MPPT methods

In this paper the performance evaluation of a photovoltaic (PV) solar system with different MPPT methods is presented. The PV system is composed of a 3 kW PV array with commercial V-I characteristics, dc-dc boost converter, a battery set based on commercial data-sheet and a variable resistive load. The analysis is carried on Matlab/Simulink simulations where fast varying solar irradiation and temperature, and load disturbance, are considered. The performance issues of concern here are the tracking capability and the impact on the current ratings of the devices.
Annotating Logical Forms for EHR Questions

This paper discusses the creation of a semantically annotated corpus of questions about patient data in electronic health records (EHRs). The goal is provide the training data necessary for semantic parsers to automatically convert EHR questions into a structured query. A layered annotation strategy is used which mirrors a typical natural language processing (NLP) pipeline. First, questions are syntactically analyzed to identify multi-part questions. Second, medical concepts are recognized and normalized to a clinical ontology. Finally, logical forms are created using a lambda calculus representation. We use a corpus of 446 questions asking for patient-specific information. From these, 468 specific questions are found containing 259 unique medical concepts and requiring 53 unique predicates to represent the logical forms. We further present detailed characteristics of the corpus, including inter-annotator agreement results, and describe the challenges automatic NLP systems will face on this task.
Ischemic bilateral hippocampal dysfunction during transient global amnesia

A 60-year-old woman was referred to our clinic for the sudden onset of anterograde and retrograde amnesia. She was alert and communicative and repeatedly asked the same questions with no changes of consciousness or loss of self-awareness. She had no prior history of migraine, epileptic seizures, head injury, or stroke, and no other neurologic symptoms beside headache were present. The amnesic syndrome resolved spontaneously within 12 hours, with a short, persistent amnesic gap for …
Exploring the Potential of a School Impact on Pupil Weight Status: Exploratory Factor Analysis and Repeat Cross-Sectional Study of the National Child Measurement Programme

Schools are common sites for obesity prevention interventions. Although many theories suggest that the school context influences weight status, there has been little empirical research. The objective of this study was to explore whether features of the school context were consistently and meaningfully associated with pupil weight status (overweight or obese). Exploratory factor analysis of routinely collected data on 319 primary schools in Devon, England, was used to identify possible school-based contextual factors. Repeated cross-sectional multilevel analysis of five years (2006/07-2010/11) of data from the National Child Measurement Programme was then used to test for consistent and meaningful associations. Four school-based contextual factors were derived which ranked schools according to deprivation, location, resource and prioritisation of physical activity. None of which were meaningfully and consistently associated with pupil weight status, across the five years. The lack of consistent associations between the factors and pupil weight status suggests that the school context is not inherently obesogenic. In contrast, incorporating findings from education research indicates that schools may be equalising weight status, and obesity prevention research, policy and practice might need to address what is happening outside schools and particularly during the school holidays.