Miracle-dz/UniFAR-FTUs huggingface dataset:
Aggressive non-Hodgkin lymphoma: early prediction of outcome with 67Ga scintigraphy.

PURPOSE To evaluate use of gallium 67 scintigraphy early during chemotherapy to predict the outcome in patients with aggressive non-Hodgkin lymphoma. MATERIALS AND METHODS Among 118 patients, 67Ga scintigraphy was performed after one cycle of chemotherapy in 51 patients, after a median of 3.5 cycles in 97 patients, and both in 30 patients. Computed tomography (CT) was performed after a median of 3.5 cycles of treatment in 87 patients. The failure-free survival was compared between patients with positive or negative 67Ga or CT scans by using the log-rank test. Multivariate analysis helped determine the relation between 67Ga scintigraphic and CT findings and the outcome. RESULTS The differences in failure-free survival between patients with positive versus negative 67Ga scans after one cycle of treatment (P < .001) and at midtreatment (P < .001) were significant. There was no statistically significant difference in failure-free survival between patients with positive versus negative CT findings during treatment. In multivariate analysis, 67Ga scintigraphy after one cycle (P < .045) and at midtreatment (P < .006) was an independent factor associated with outcome. CONCLUSION Gallium 67 scintigraphic findings after one cycle of chemotherapy and at midtreatment are predictive of outcome in patients with aggressive non-Hodgkin lymphoma. CT findings are not predictive. Early 67Ga scintigraphy during chemotherapy is a good indicator of patients who may benefit from a change to a more aggressive treatment. A future study is necessary to investigate the potential effect of early change of treatment.
A high speed open source controller for FPGA Partial Reconfiguration

Partial Reconfiguration (PR) is an advanced technique, which improves the flexibility of FPGAs by allowing portions of a design to be reconfigured at runtime by overwriting parts of the configuration memory. PR is an important enabler for implementing adaptive systems. However, the design of such systems can be challenging, and this is especially true of the configuration controller. The generally supported methods and IP have low throughput, resulting in long configuration time that precludes PR from systems where this operation needs to be fast. In this paper, we present a high-speed configuration controller that provides several features useful in adaptive systems. The design has been released for use by the wider research community.
Building quality into a coating process

An effective approach towards optimal development strategy is to use the quality by design principle. However, this approach can first be implemented when possible risks impacting critical quality attributes are defined and interactions between those are fully understood. The objective of this study was to identify critical variables that affect the final modified release product performance using a risk management approach with supporting statistical tool. After risk ranking and filtering a full mixed factorial experimental design of coating experiments was performed. Experimental design clearly indicated that studied critical processes parameters have a great impact on coat integrity and hence on drug release.
On The Inhomogeneous Quantum Groups

Using the multi-parametric deformation of the algebra of functions on $ \GL{n+1} $ and the universal enveloping algebra $ \U{\igl{n+1}} $, we construct the multi-parametric quantum groups $ \IGLq{n} $ and $ \Uq{\igl{n}} $.
Anti-inflammatory testing methods: comparative evaluation of mice and rats.

The possibility of using mice in place of rats on the anti-inflammatory screening tests was investigated. The diversities of the responses between mice and rats on screening tests, that is, carrageenin, formalin-induced edema in the hind paw, adjuvant arthritis and cotton pellet granuloma were observed with p.o. administration of prednisolone, 0.5 mg/kg and 5.0 mg/kg, and indomethacin, 0.5 mg/g and 5.0 mg/kg. On the effect of these drugs on screening tests, a similar type of phenomena between rats and mice was found. Then the close-response relationships of aspirin, flufenamic acid, phenylbutazone, cyproheptadine, prednisolone and indomethacin were examined in four kinds of screening tests mentioned above. Prednisolone, indomethacin, phenylbutazone and aspirin inhibited the carrageenin, formalin-induced edema, cotton pellet granuloma and adjuvant arthritis apparently, but flufenamic acid showed no inhibition on the carrageenin and formalin-induced edema. Cyproheptadine inhibited the formalin and serotonin-induced edema. We have found that mice, instead of rats, can be used for the anti-inflammatory screening methods.
Sub-Lexical and Contextual Modeling of Out-of-Vocabulary Words in Speech Recognition

Large vocabulary speech recognition systems fail to recognize words beyond their vocabulary, many of which are information rich terms, like named entities or foreign words. Hybrid word/sub-word systems solve this problem by adding sub-word units to large vocabulary word based systems; new words can then be represented by combinations of subword units. We present a novel probabilistic model to learn the sub-word lexicon optimized for a given task. We consider the task of Out Of vocabulary (OOV) word detection, which relies on output from a hybrid system. We combine the proposed hybrid system with confidence based metrics to improve OOV detection performance. Previous work address OOV detection as a binary classification task, where each region is independently classified using local information. We propose to treat OOV detection as a sequence labeling problem, and we show that 1) jointly predicting out-of-vocabulary regions, 2) including contextual information from each region, and 3) learning sub-lexical units optimized for this task, leads to substantial improvements with respect to state-of-the-art on an English Broadcast News and MIT Lectures task.
CLEF 2017: Multimodal Spatial Role Labeling Task Working Notes

The extraction of spatial semantics is important in many real-world applications such as geographical information systems, robotics and navigation, semantic search, etc. Moreover, spatial semantics are the most relevant semantics related to the visualization of language. The goal of multimodal spatial role labeling task is to extract spatial information from free text while exploiting accompanying images. This task is a multimodal extension of spatial role labeling task which has been previously introduced as a semantic evaluation task in the SemEval series. The multimodal aspect of the task makes it appropriate for the CLEF lab series. In this paper, we provide an overview of the task of multimodal spatial role labeling. We describe the task, sub-tasks, corpora, annotations, evaluation metrics, and the results of the baseline and the task participant.
Transmission of tuberculosis from adults to children in a Paris suburb

Tuberculosis in children is often acquired by contact with a family or household member. The aim of our study was to evaluate risk factors for latent infection and active disease in exposed children in a suburb of Paris. We examined medical records for the period 1997–2000 at six departmental centers for medical prevention in Val de Marne.
Sentence Compression as a Component of a Multi-Document Summarization System

We applied a single-document sentencetrimming approach (Trimmer) to the problem of multi-document summarization. Trimmer was designed with the intention of compressing a lead sentence into a space consisting of tens of characters. In our Multi-Document Trimmer (MDT), we use Trimmer to generate multiple trimmed candidates for each sentence. Sentence selection is used to determine which trimmed candidates provide the best combination of topic coverage and brevity. We demonstrate that we were able to port Trimmer easily to this new problem. We also show that MDT generally ranked higher for recall than for precision, suggesting that MDT is currently more successful at finding relevant content than it is at weeding out irrelevant content. Finally, we present an error analysis that shows that, while sentence compressions is making space for additional sentences, more work is needed in the area of generating and selecting the right candidates.
Organizing for the Effecitve Diffusion of Corporate Information Systems: Manage Project Scale and Scope

Incremental innovations reinforce the capability of established organizations, while radical innovations cause firms to develop new technical and commercial skills. In this paper, we will present the results of an exploratory study examining the technologydiffusion process associated with eleven different systems initiatives iii eight organizations and suggest that. in addition to the important distinctions the technology life cycle model provides, another useful perspective is that one differentiates the innovation based on its scale and scope. We will present the findings of this exploratory research and suggest that to successfully diffuse projects of different scale and scope requires the building of differentiated project selection processes mid criteria, organizational structures and management involvement. As a first step in this process, we propose classifying RaD initiatives based on scale and scope and suggest that this classification will enable managers to identify and establish appropriate managerial and organizational processes that will facilitate the technology diffusion.
Vitamin D deficiency in breastfed infants & the need for routine vitamin D supplementation

Existing and emerging research suggest that vitamin D is related to good health. Thus lack of this vitamin in a child’s diet may lead to osteoporosis and other diseases in adulthood. Increasing access to vitamin D supplements is a large concern for public health professionals working to increase vitamin D access to pregnant women lactating women and children. In the past vitamin D exposure has come from the sun. However with increasing warnings to keep out of the sun vitamin D must be supplemented through the diet. Although there is no set amount of vitamin D that women and children are supposed to receive it is still recommended to supplement vitamin D through dietary means.
From “It's Not Me” to “It Was Me, After All”: A Case Presentation of a Patient Diagnosed with Dissociative Identity Disorder

In cases of extreme childhood trauma associated with abuse and neglect, one's sense of self is seriously compromised. Attachment patterns, symptoms, defensive operations, and character formation will differ depending upon the level of interference and impingement. When repeated trauma occurs in early childhood, the dissociative response may become the first line of defense for the person to rely upon. In its most severe form, patients are diagnosed with Dissociative Identity Disorder (DID). This paper addresses the case of a woman diagnosed with DID. It describes the restoration of a cohesive sense of self from the eight parts of a dissociated and fragmented self in the course of therapy. The clinical case material presented is that of the child part of her, known as Lucy. Her treatment resulted in the integration of the “it's not me! ” self to the patient's knowledge that “it was me, after all. ”
Journal of Theoretical and Applied Information Technology Artificial Neural Networks and Other Methods of Image Classification

In digital image classification the conventional statistical approaches for image classification use only the gray values. Different advanced techniques in image classification like Artificial Neural Networks (ANN), Support Vector Machines (SVM), Fuzzy measures, Genetic Algorithms (GA), Fuzzy support Vector Machines (FSVM) and Genetic Algorithms with Neural Networks are being developed for image classification. Artificial neural networks can handle non-convex decisions. The use of textural features in ANN helps to resolve misclassification. SVM was found competitive with the best available machine learning algorithms in classifying high-dimensional data sets. Fuzzy measures show the detection of textures by analyzing the image by stochastic properties. The fundamental stochastic properties of the image are isolated by different kinds of stochastic methods, by non-linear filtering and by non-parametric methods. Fuzzy support vector machines (FSVM) was proposed to overcome the n-class problem in Support Vector Machines. In this using the decision functions obtained by training the SVM, for each class, a truncated polyhedral pyramidal membership function was defined. The genetic algorithm searches a space of image processing operations for a set that can produce suitable feature planes, and a more conventional classifier which uses those feature planes to output a final classification. The use of a hybrid genetic algorithm investigates the effectiveness of the genetic algorithm evolved neural network classifier and its application to the image classification of remotely sensed multispectral imagery. A comparative study of some of these techniques for image classification is made to identify relative merits.
The Effect of Players' Standard and Tactical Strategy on Game Demands in Men's Basketball

Ben Abdelkrim, N, Castagna, C, El Fazaa, S, and El Ati, J. The effect of players' standard and tactical strategy on game demands in men's basketball. J Strength Cond Res 24(10): 2652-2662, 2010-The purpose of the present study was to examine the effects of competitive level and team tactic on game demands in men's basketball. Sixteen international-level male basketball players (INPs) and 22 national-level male basketball players (NLPs) were studied during 6 games. Time-motion analysis was performed to track game activities. Game physiological demands were assessed by monitoring heart rate (HR) and blood-lactate concentration. Results showed that INPs sprinted significantly more and performed more high-intensity shuffling than did NLPs (p < 0.05). Game-activity changes and frequency of high-intensity bouts were similar in man-to-man and zone-marking games (1,053 vs. 1,056 and 253 vs. 224, respectively, p > 0.05). Time spent in the maximal (>95% of HRmax) and high-intensity zone (85-95% of HRmax) was greater in the INPs than in the NLPs (17.8 vs. 15.2%, p < 0.01 and 59.1 vs. 54.4%, p < 0.05, respectively). No significant differences in mean HR were evident between man-to-man and zone-marking games (93.3 ± 2.1 vs. 92.8 ± 1.8% of HRmax, p > 0.05). Blood-lactate concentration was higher in the INPs than in the NLPs (6.60 ± 1.22 vs. 5.66 ± 1.19 mmol·L−1 at halftime and 5.65 ± 1.21 vs. 4.43 ± 1.43 mmol·L−1 at full time, p < 0.05). No mean or peak blood-lactate concentration differences resulted between man-to-man and zone-marking games (5.15 ± 1.32 vs. 5.83 ± 1.10 and 5.90 ± 1.25 vs. 6.30 ± 1.27 mmol·L−1, respectively, p > 0.05). These results suggest an effect of competitive level over game demands in men's basketball. No marking strategy effect was evident. Basketball coaches and fitness trainers should develop the ability to repeatedly perform high-intensity activity during the game. Repeated sprinting and high-intensity shuffling ability should be trained to successfully play man-to-man and zone defense, respectively.
New discrete-time sliding mode control for a piezoelectric actuation system

This paper presents a new discrete-time sliding mode control (DSMC) scheme dedicated to precision positioning control of a piezoelectric actuation system. Traditionally, hysteresis modeling is required to compensate for the piezoelectric nonlinearity and state observer design is needed to implement the DSMC control, which renders a time-consuming procedure. The proposed DSMC control scheme releases these computational burdens by a new approach. Specifically, the elimination of state observer is realized by developing a discrete-time dynamics model of the whole system. In addition, the piezoelectric nonlinearity is considered as a perturbation term and predicted by perturbation estimation technique. The stability of the control system is proved in theory and demonstrated through experimental studies on a prototype system. Experimental results reveal the efficiency of the presented control scheme for the precision positioning control.
Adenosine A1 and A2A Receptors in the Brain: Current Research and Their Role in Neurodegeneration

The inhibitory adenosine A1 receptor (A1R) and excitatory A2A receptor (A2AR) are predominantly expressed in the brain. Whereas the A2AR has been implicated in normal aging and enhancing neurotoxicity in multiple neurodegenerative diseases, the inhibitory A1R has traditionally been ascribed to have a neuroprotective function in various brain insults. This review provides a summary of the emerging role of prolonged A1R signaling and its potential cross-talk with A2AR in the cellular basis for increased neurotoxicity in neurodegenerative disorders. This A1R signaling enhances A2AR-mediated neurodegeneration, and provides a platform for future development of neuroprotective agents in stroke, Parkinson’s disease and epilepsy.
Analysis of mobile-originated interference in coexisting UMTS networks

An analytical formulation of the statistics of interference power originating at a UMTS mobile station and being received by a receiver in another, coexisting UMTS network is given where coexistence means the simultaneous operation of two different networks in the same area. Since UMTS networks are interference-limited, this statistic can be used to estimate the capacity loss due to spectral coexistence of UMTS networks, typically in adjacent frequency bands.
From sensorimotor development to object perception

This paper describes a developmental sequence that allows a humanoid robot to learn about the shape of its body and successively about certain parts of the environment. We equipped the humanoid robot with an initial set of motor and perceptual competencies ranging from simple stereotyped actions to more sophisticated visual routines providing a bottom-up attention system. This initial form of sensorimotor coordination is sufficient to initiate the interaction with the environment and allows the robot to improve its motor and perceptual skills by first constructing a "body-schema" and later by learning about objects. The body-schema allows controlling movements to fixate, reach and touch objects in the environment. The interaction is further used to form a visual model of the objects grasped by the robot which eventually modulate the attention system in a top-down way. In another experiment we show an initial effort to study the acquisition of object affordances. We discuss the importance of sensorimotor coordination as a required step not only for the control of action but also, and more importantly, for perceptual development
LIBERTARIANISM AT TWIN HARVARD

In this essay Loren Lomasky wryly proposes that the views of Rawls and Nozick might not be as radically divergent as is conventionally supposed. To demonstrate this proposition, Lomasky invents “Twin Harvard” counterparts of Rawls and Nozick. The twist is that Twin Rawls turns out to be a leading libertarian theorist while Twin Nozick endorses a regime of sweeping redistribution. In each case the position follows from familiar elements in the theories of their respective, real-world counterparts. Lomasky concludes that Twin Rawls actually makes better use of familiar Rawlsian themes-such as the veil of ignorance, strains of commitment, and the priority of liberty-than does Rawls himself. Moreover, Rawls's own attempts at combating libertarianism are seen to be weak, sometimes embarrassingly so. Libertarianism is a specter that he devoutly wishes to exorcize, but cannot. Conversely, the rejection of libertarianism by Twin Nozick (and Nozick? ) is striking but shallow.
An investigation of excited-state intramolecular proton transfer mechanism of new chromophore

Based on the time-dependent density functional theory (TDDFT), the excited state intramolecular proton transfer (ESIPT) mechanism of a new compound 1 chromophore synthesized and designed by Liu et al. [Journal of Photochemistry and Photobiology B: Biology. , 138 (2014), 75-79] has been investigated theoretically. The calculations of primary bond lengths, angles and the IR vibrational spectra verified the intramolecular hydrogen bond was strengthened. The fact that reproducing the experimental absorbance and fluorescence emission spectra well theoretically demonstrates that the TDDFT theory we adopted is reasonable and effective. In addition, intramolecular charge transfer based on the frontier molecular orbitals demonstrated the indication of the ESIPT reaction. The constructed potential energy curves of ground state and the first excited state based on keeping the O-H distance fixed at a serious of values have been used to illustrate the ESIPT process. A little barrier of 2.45 kcal/mol in the first excited state potential energy curve provided the transfer mechanism. Further, the phenomenon of fluorescence quenching has been explained reasonably based on the ESIPT mechanism. PACS: 31.25. Jf; 82.39. Jn
Speed of Expertise Acquisition Depends upon Inherited Factors

This paper challenges the current dominant view of expertise acquisition by reintroducing inherited factors in the learning process. Studies in experimental psychology have consistently shown that expert performance correlates with the amount of domain-specific knowledge that the experts have acquired through practice. This finding has led to the view that nurture dominates nature with respect to expertise acquisition. We review studies in neurobiology that have shown that the biological processes underlying long-term memory storage engage genetic mechanisms. Thereby, we lay out a framework that provides the basis for re- interpreting psychological data in a psychobiological light. We advance a genetic hypothesis which accounts for individual differences in expertise acquisition. We briefly discuss the consequences of our hypothesis on education.
“Unseeing” Chinese Students in Japan: Understanding Educationally Channelled Migrant Experiences

Chinese migrants are currently the largest group of non-Japanese nationals living in Japan. This growth is largely the result of educational migration, positioning many Chinese in Japan as student-migrants. Based on 20 months’ ethnographic fieldwork in Ikebukuro, Tokyo's unofficial Chinatown, this paper explores the ways in which the phenomenology of the city informs the desire for integration amongst young Chinese living in Japan. Discussions of migrant integration and representation often argue for greater recognition of marginalised groups. However, recognition can also intensify vulnerability for the marginalised. Chinese student-migrants’ relationship to Ikebukuro's streets shows how young mobile Chinese in Tokyo come to learn to want to be “unseen. ” Largely a response to the visual dynamics of the city, constituted by economic inequality, spectacle, and surveillance, the experiences of young Chinese students complicate the ways we understand migrants’ desires for recognition and integration.
Imaging in Acute Stroke

Imaging in the acute setting of suspected stroke is an important topic to all emergency physicians, neurologists, neurosurgeons and neuroradiologist. When it comes to imaging, the American College of Radiology (ACR) continually updates its guidelines for imaging pathways through the ACR Appropriateness Criteria.1,2 This article is a general review of the imaging modalities currently used to assess and help guide the treatment of strokes.