Miracle-dz/UniFAR-FTUs huggingface dataset:
Systemic CD8 T-Cell Memory Response to a Salmonella Pathogenicity Island 2 Effector Is Restricted to Salmonella enterica Encountered in the Gastrointestinal Mucosa

ABSTRACT To better understand the evolution of a systemic memory response to a mucosal pathogen, we monitored antigen-specific OT1 CD8 T-cell responses to a fusion of the SspH2 protein and the peptide SIINFEKL stably expressed from the chromosome of Salmonella enterica and loaded into the class I pathway of antigen presentation of professional phagocytes through the Salmonella pathogenicity island 2 type III secretion system (TTSS). This strategy has revealed that effector memory CD8 T cells with low levels of CD62L expression (CD62Llow) are maintained in systemic sites months after vaccination in response to low-grade infections with Salmonella. However, the CD8 T-cell pool eventually declines. Low numbers of central memory cells surviving after prolonged resting from an antigen encounter can nevertheless reconstitute the systemic effector memory pool in a route-specific recall response to cognate antigens encountered in the gut. Accordingly, populations of CD62Lhigh interleukin-7 receptor-positive progenitor central memory cells grafted into naïve mice expand in response to orally administered Salmonella expressing the chromosomal translational fusion of sspH2 and the sequence encoding the SIINFEKL peptide but fail to proliferate following systemic stimulation. Moreover, populations of systemic memory CD8 T cells restricted to Salmonella in oral vaccines selectively expand in response to cognate antigens presented by cells isolated from mesenteric lymph nodes (MLN). Together, these findings have revealed the imprinting of systemic CD8 central memory T-cell recall responses against enteropathogens by MLN. MLN restriction represents a novel mechanism by which systemic CD8 T-cell immunity is confined to periods of high risk for extraintestinal dissemination.
Polymyositis-dermatomyositis: a clinical review.

Polymyositis (PM) and dermatomyositis (DM) are characterized by chronic inflammation of skeletal muscle and are manifested, in their classic presentation, by proximal muscle weakness accompanied by elevations of the serum creatine kinase (CK) typical electromyography (EMG) changes with polyphasic potentials and muscle biopsy findings of a necrotizing, inflammatory process. ' DM is distinguished from PM by a typical rash, usually red, scaly and plaque-like, over the knuckles, wrists, elbows, knees and ankle malleoli and violaceous lesions in the periorbital and trunk area.2 Most authors, however, consider DM and PM together since the disease course and muscle lesions are the same, whether skin lesions are present or not.3 These diseases are of unknown aetiology and reltively rare but have been associated with a host of inciting agents, from infections4 to vaccines5 to malignancies' and involve a multitude of immunological abnormalities.7 The classification scheme popularized by Bohan et al.8'9 and modified by Whitaker4 appears in Table I. This review concentrates on types I, II, III and V.
Novel Cause of Tuberculosis in Meerkats, South Africa

The organism that causes tuberculosis in meerkats (Suricata suricatta) has been poorly characterized. Our genetic analysis showed it to be a novel member of the Mycobacterium tuberculosis complex and closely related to the dassie bacillus. We have named this epidemiologically and genetically unique strain M. suricattae.
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization

When approaching a novel visual recognition problem in a specialized image domain, a common strategy is to start with a pre-trained deep neural network and fine-tune it to the specialized domain. If the target domain covers a smaller visual space than the source domain used for pre-training (e.g. ImageNet), the fine-tuned network is likely to be over-parameterized. However, applying network pruning as a post-processing step to reduce the memory requirements has drawbacks: fine-tuning and pruning are performed independently; pruning parameters are set once and cannot adapt over time; and the highly parameterized nature of state-of-the-art pruning methods make it prohibitive to manually search the pruning parameter space for deep networks, leading to coarse approximations. We propose a principled method for jointly fine-tuning and compressing a pre-trained convolutional network that overcomes these limitations. Experiments on two specialized image domains (remote sensing images and describable textures) demonstrate the validity of the proposed approach.
Personalized Multimedia Integration for the Heterogeneous Museum Systems Using the Ontology Mapping Approach

Presently, many museums have developed their own multimedia information systems to store the artifacts and other objects of scientific, artistic, cultural or historical interest into the digital resources and make them available for public viewing on the Web. However, searching for the multimedia information is still not relevant to the user requirement, and the system does not provide meaningful information. This research work proposes the personalized multimedia integration system for museums based on ontology which is a core component of the Semantic Web technology. The multimedia information for each resource has been expressed in the Web Ontology Language (OWL). The research also resolved the problem of information integration by proposing the ontology mapping technique to cope with the semantic conflicts and structural conflicts via the OWL properties. Then the ontology storing users’ interest was designed which matched the museum’s ontology so that retrieval of multimedia information is meaningful and direct to the users’ needs.
20 years of volume rendering

In the year 2007 we celebrate the 20-th anniversary of coining the notion of volume rendering, followed by its first "official" usage in the papers by Levoy and by Drebin, Carpenter and Hanrahan in 1988. The new and revolutionary introduced by these papers was the possibility to visualize objects represented by discrete three-dimensional scalar fields---usually tomographic scans---without the necessity to fit any surface models to the objects represented therein. This new approach conceptually simplified sequence of the required rendering operations---the rendering pipeline, and enabled to keep the important connection between the original three-dimensional input data and the final renditions. Thus, a possibility of high quality rendering of complex structures emerged, not limited just to objects with well defined surfaces but also to those with diffused, blurred and weakly defined boundaries in general. In this overview a brief sketch of the volume rendering history is given, with an emphasis on the most important developments in the areas of the basic algorithms and their accelerated modifications, object and tissue specification techniques by transfer functions and segmentation and rendering of complex multiobject scenes.
Augmented reality 3D eyeglasses frame simulator using active shape model and real time face tracking

Combination of real-world object and computergenerated object know as Augmented Reality (AR) is considered media of the future. In AR the computer-generated object is a result of a three-dimensional graphics rendering. An AR software designed to provide real-time interactivity with the user in forms of video. In this paper we implement AR technology to simulate eyeglasses frame model simulation so user can try many eyeglasses frame models and see how they look without actually have to try the eyeglasses. After activating this software, users in the webcam's range will be processed automatically, a 3D eyeglasses frame model will be positioned in the user's face. To develop this software we must first implement a fast and effective face tracking algorithm so user can feel the AR as a real object. The speed of face detection or face tracking used in this software will have a significant effect on user experience. On the other hand the higher the video resolution the slower the face tracking algorithm will be. In this paper we use a medium video resolution (640 × 480) so we can increase the speed of face tracking algorithm to make the frame per second user experience acceptable. This simulation is an example of an effective AR technology usage.
The Nurses' Health Study

Initially, one major problem was to define a large population of intelligent, cooperative, and healthconscious women who would be relatively easy to follow. Since the validity of our study is crucially dependent upon a high follow-up rate as well as complete and accurate information regarding various diseases among users and nonusers, we chose registered nurses as study participants. The study population consists of married, female registered nurses born between January 1, 1921 and December 31, 1946, residing in the 11 states with the largest number of state registrants-New York, California, Pennsylvania, Ohio, Massachusetts, New Jersey, Michigan, Texas, Florida, Connecticut, and Maryland. The names and addresses of 238,026 nurses who fulfilled the eligibility criteria were obtained from a file created in 1972 by the American Nurses' Association of all registered nurses in the United States, which includes demographic data on marital status, age, year of graduation, level of education, and whether or not they are practicing their profession. The file was created through state boards of nursing, and permission was obtained by ANA from the boards in the 11 states to release to us only the names and addresses of their instate registrants. They were then assigned unique identification numbers to assure strict confidentiality.
Intensive extracorporeal photochemotherapy in pediatric patients with chronic graft‐versus‐host disease (cGVHD)

Extracorporeal photochemotherapy (ECP) is an alternative treatment approach in the management of chronic graft‐versus‐host disease (cGVHD). However, few reports have investigated the optimal treatment schedule of ECP. We treated seven pediatric patients with steroid‐resistant or ‐dependent cGVHD with ECP. Using the Therakos UVAR XTS system, ECP was begun three (three patients) or five (four patients) times a week initially. Complete and partial responses were obtained in three patients. Three of seven patients died of GVHD‐related complications. In this group initial intensive ECP did not improve the rate of response. However, this schedule appeared well tolerated. Pediatr Blood Cancer 2007;48:218–221. © 2006 Wiley‐Liss, Inc.
Consistency of Individual Differences in Time Judgments

Thirty normal male adolescents were asked to produce periods of 1, 8, 16, and 64 sec. spontaneously, by counting at a rate of one count per second, by visualizing a sweep second hand on a clock, and by just “feeling” the time. Significant positive correlations were found within methods of producing time, and between methods of producing time, but the correlations within methods were higher, suggesting the method of keeping track of time contributes to the measurement of individual differences. Measures based on very brief intervals, such as 1 sec. , did not correlate significantly with productions of longer intervals, suggesting productions of longer intervals of time are based on something other than an accumulation of errors of judgment of very brief units of time. A measure of time perspective did not correlate with time productions, suggesting that these two facets of temporal experience belong to different factors or personality processes.
Building trust to work with children after a severe traumatic accident

Abstract Trust is integral to nursing; yet little is known about how nurses establish trust when working with patients. This grounded theory study explored nurses’ perspectives of how to build trust with a child and family in the context of paediatric acute health care. Seven paediatric acute care nurses were asked what they did when they cared for a child admitted to an acute care ward from emergency department or intensive care unit following a severe traumatic accident. Building trust emerged as the basic social process for an effective working relationship between a nurse and family to promote the rehabilitation of the child. This paper argues that building trust is critical to nurses developing a working relationship with both child and family to promote optimal health, and enables nurses to effectively step out and handover the care of the child to the family.
Clinical practice guidelines for the care and treatment of breast cancer: 9. Follow-up after treatment for breast cancer (2005 update)

Dr. Grunfeld is Professor of Medicine, Dalhousie University, and Director of Health Services and Outcomes Research, Cancer Care Nova Scotia, Halifax, NS. Dr. DhesyThind is with the Cancer Care Ontario Juravinski Regional Cancer Centre and is Assistant Professor in the Department of Medicine, McMaster University, Hamilton, Ont. Dr. Levine is Professor in the Departments of Clinical Epidemiology and Biostatistics and of Medicine and is the Buffet Taylor Chair in Breast Cancer Research, McMaster University, Hamilton, Ont.
Organizational Silence and Whistle-Blowing on IT Projects: An Integrated Model

An individual's reluctance to report bad news about a troubled information technology (IT) project has been suggested as an important contributor to project failure and has been linked to IT project escalation as well. To date, information systems researchers have drawn from the mum effect and whistle-blowing literature to gain a better understanding of the factors that influence bad news reporting. More recent theoretical work in the area of organizational silence offers a promising new conceptual lens, but remains empirically untested. In this research note, we integrate key elements of Morrison and Milliken's (2000) model of organizational silence, which has never been empirically tested, with the basic whistle-blowing model adapted from Dozier and Miceli (1985). Using a role-playing experiment, we investigate how organizational structures/policies, managerial practices, and degree of demographic dissimilarity between employees and top managers create a climate of silence and how this climate, in turn, affects an individual's willingness to report. Our results show that all three types of factors contribute to a climate of silence, exerting both direct and indirect influence on willingness to report, as hypothesized. The implications of these findings and directions for future research are discussed.
HEMATOPOIESIS AND STEM CELLS Identi fi cation of the chemokine CCL 28 as a growth and survival factor for human hematopoietic stem and progenitor cells

• Chemokine (C-C motif) ligand 28 (CCL28) is a novel growth factor for human hematopoietic stem and progenitor cells. • CCL28 supports the in vitro and in vivo functional integrity of cultured primitive hematopoietic cells. In an attempt to discover novel growth factors for hematopoietic stem and progenitor cells (HSPCs), we have assessed cytokine responses of cord blood (CB)–derived CD34 cells in a high-content growth factor screen. We identify the immunoregulatory chemokine (C-C motif) ligand 28 (CCL28) as a novel growth factor that directly stimulates proliferation of primitive hematopoietic cells from different ontogenetic origins. CCL28 enhances the functional progenitor cell content of cultured cells by stimulating cell cycling and induces gene expression changes associated with survival. Importantly, addition of CCL28 to cultures of purified putative hematopoietic stem cells (HSCs) significantly increases the ability of the cells to long-term repopulate immunodeficientmicecomparedwith equivalent input numbers of fresh cells. Together, our findings identify CCL28 as a potent growthpromoting factor with the ability to support the in vitro and in vivo functional properties of cultured human hematopoietic cells. (Blood. 2013;121(19):3838-3842)
Multi-Period Mean-Variance Portfolio Selection with State-Dependent Exit Probability and Bankruptcy State

Based on the mean-variance portfolio selection under multi-period criterion, this paper focuses on the study of the uncertain time horizon and the regime-switching market including the bankruptcy state, where the conditional distribution of exit time is followed by the market state. When the market enters the bankruptcy state, investors are assumed to get back δ part of the wealth from the bankrupt company, where δ refers to the retrieval rate. By introducing the Lagrange multiplier λ, we create an innovative expression for the wealth process and the iterative representation of the value function to obtain the analytical expression of the optimal strategy and the corresponding efficient frontier. Besides, some special cases and numerical examples are presented to demonstrate the effects of state-dependent exit probability and bankruptcy state on the investment strategy.
Version 2 Particle Identification in the MiniBooNE Experiment by using the Boosting Algorithm

In the MiniBooNE technical note TN-112 [1], we reported our preliminary results on νe and π separation by using boosting algorithms. Based on our initial studies, we concluded both boosting algorithms, AdaBoost [2] and -Boost [3], improved the νe and π 0 separation significantly compared with the neural network method. In this note, we use the boosting algorithm to obtain the intrinsic νe CCQE and background separation. Totally 500K cocktail Monte Carlo events and 200K intrinsic νe CCQE events, produced by Steve Brice, were fed into the ’RoeFitters’ reconstruction package[4]. Among them, 88233 intrinsic νe CCQE and 162657 background events passed reconstruction and pre-selection cuts. The pre-selection cuts are listed in the following,
Development and usage of information architecture : a management perspective

Despite its emergence more than a decade ago, information architecture remains a problematic concept. A study of relevant literature suggests significant advocacy with inadequate supporting evidence on its existence, application or value. The available limited research evidence generally presents unsatisfactory information architecture experience. Notwithstanding the unresolved issues and reported unsatisfactory experience, information architecture continues to be referenced as an important information management issue. Hence this doctoral study sought to investigate it In the first stage, the study set out to clarify the position of information architecture via a large scale postal survey of 294 organisations. The survey found that information architecture is being used in association with IS planning, particularly in organisations which position IT as a strategic resource, but perceptions on its two conventional key components vary. While application architecture is viewed as being useful for IS planning, corporate data model is seen as being more relevant to data management and project implementation. Both models are regarded as tools facilitating integrated information systems development. In the second stage of research, case studies on 6 large organisations were conducted to gain an in-depth understanding of successful information architecture practice. The investigation reaffirmed application architecture's position as an IS planning tool and cast further doubt on corporate data model's role not only in IS planning but also in IS practice as a whole. Business area/project data model was identified as the pragmatic high-level data model for both application/database development and data management. A major finding of the case studies was on business system architecture, a pictorial model depicting IT in its business setting. It is seen as being of value for integrating IS planning with strategy development and business planning a tool for fusing IT with the business. The case studies concluded that the value and effectiveness of information architecture is dependent on the targeting of its components business system architecture, application architecture and business area/project data model in terms of tasks and recipients. The case for a holistic approach to business/IS planning and implementation is currently being argued by a number of leading management and IS scholars. This thesis embraces the holistic approach and positions the (redefined) information architecture as a valuable tool in its implementation.
Search for high energy neutrinos from bright GRBs with ANTARES

Gamma-ray bursts are thought to be cosmic-ray accelerators, thus neutrinos are expected from the decay of charged mesons, produced in pγ interactions. The search for high-energy neutrinos from astrophysical sources is one of the main goals of the ANTARES scientific project. The methods and the results of a search for neutrinos from the brightest GRBs observed between 2008 and 2013 are presented. Two scenarios of the fireball model have been investigated: the internal shock and the photospheric case. Since no events have been detected in time and space coincidence with any of these bursts, upper limits at 90% C.L. on the expected neutrino fluxes are derived, as well as constraints on some parameters used in the modeling of the neutrino yield, as the bulk Lorentz factor of the jet and the baryon loading fp.
An improved speech endpoint detection based on adaptive sub-band selection spectral variance

Speech endpoint detection is an important component in different speech processing systems. The endpoint detection using basic spectral variance becomes difficult and inaccurate when speech signals are contaminated by high noise. An improved spectral variance method is presented in this paper. The noisy speech is firstly enhanced using spectral subtraction method. Then an adaptive sub-band selection spectral variance is used to detect the endpoints. It improves the discriminability between speech and noise so that it becomes easier to set thresholds. Finally, experiment results are given to show the effectiveness of the improved method outperforms basic spectral variance method. Furthermore, for low signal-to-noise ratio (SNR), the proposed method has better robustness for different types of noise.
Haptoglobin and serum amyloid A in relation to the somatic cell count in quarter, cow composite and bulk tank milk samples

Milk somatic cell count (SCC) is the gold standard in diagnosis of subclinical mastitis, and is also an important parameter in quality programmes of dairy cooperatives. As routine SCC analysis is usually restricted to central laboratories, much effort has been invested in the search for alternative biomarkers of mastitis and milk quality, including the presence in the milk of the acute phase proteins (APP), haptoglobin (Hp) and serum amyloid A (SAA). The aim of this study was to investigate relationships between Hp, SAA and SCC in quarter, cow composite, and bulk tank milk samples. Cows (n=165), without any clinical signs of disease or abnormalities in the milk or udder, from three different dairy farms, were used. Cow composite milk samples from all cows delivering milk at the sampling occasion were taken once in each herd. In one of the farms, representative quarter milk samples (n=103) from 26 cows were also collected. In addition, bulk tank milk samples from 96 dairy farms were included in the study. Samples were analysed for Hp, SAA and SCC, and relationships between the parameters were evaluated at quarter, cow and tank milk levels using Chi-square analysis. Milk samples were categorized according to their SCC, and the presence, or no presence, of SAA and Hp, based on the detection limits of the screening methods (0·3 mg/l and 1·0 mg/l for SAA and Hp, respectively). Hp and SAA were found in milk at quarter, cow composite and bulk tank levels. A large proportion (53%) of the animals had detectable milk concentrations of APP, and SAA was detected more frequently, and at higher concentrations than Hp, regardless of sample type. SAA was detected in as many as 82% of the bulk tank milk samples. Significant relationships were found between Hp, SAA and SCC at quarter and cow composite milk levels, but only between SAA and SCC at bulk tank milk level. Detectable levels of APP were more common at high SCC.