Miracle-dz/UniFAR-FTUs huggingface dataset:
Selective lesions of rabbit extraocular muscles injected with the anti-AChR immunotoxin saporin-mAb 73

Purpose. To evaluate the effects on extraocular muscles of a skeletal muscle-specific immunotoxin, saporin-mAb 73, as an alternative to botulinum toxin to induce a permanent correction of oculo-facial dystonias or some forms of ocular motility disorders. Methods. An immunotoxin was prepared with a monoclonal antibody (mAb 73) against acetylcholine receptors of skeletal muscle, linked to saporin, a type 1 ribosome-inactivating protein (RIP) from Saponaria officinalis. Sixteen New Zealand white rabbits were treated with a single injection of immunotoxin directly into the medial rectus muscle of one eye. Four different dosages of 2, 5, 20, or 50? ng saporin-mAb 73 were used. The rabbits were sacrificed at two, 7 and 14 days post-injection. The medial rectus muscle and the retractor bulbi muscle of both the injected and the fellow eyes were taken and serial sections were examined by light microscopy in a blinded manner. Results. Saporin-mAb 73, even at the dosage of 2 ng, brought about focal damage in the extraocular muscles of rabbits without histological changes in adjacent muscles. The histological examination revealed necrotic/apoptotic lesions restricted to the sites of inoculation and largely infiltrated by macrophages. No evident inflammatory reaction was detected at any time and neutrophils were substantially absent. At 14 days after injection, necrosis/apoptosis was still evident and the sclerotic reaction was minimal. Conclusions. The immunotoxin saporin-mAb 73 injections into the extraocular muscles of rabbits caused focal damage to the muscles. There was no significant inflammatory reaction and muscle fiber loss was present even at the lower doses. Although the lesions were followed for only 14 days, our results suggest that saporin-mAb 73 has potential to cause safe focal muscle damage but longer-term follow-up are needed to investigate the persistence of muscle weakness.
Learning Markov Networks with Bounded Inference Complexity

In this paper, we study the problem of learning the structure of Markov Networks that permit ecient inference. We formulate structure learning as an optimization problem that maximizes the likelihood of the model such that the inference complexity on the resulting structure is bounded. The inference complexity is measured with respect to any chosen algorithm (either exact or approximate), or a distribution over any marginal or conditional query. We relate our work to previous approaches for learning bounded treewidth models and arithmetic circuits. The main contribution of our work is to isolate the inference penalty from the incremental structure building process. Our algorithm can be used to learn networks which bound the inference time of both exact and approximate algorithms. Further, we show that bounding inference time for approximate inference results in networks that exhibit less approximation error.
Integrin-mediated neutrophil adhesion and retinal leukostasis in diabetes.

PURPOSE A critical early event in the pathogenesis of diabetic retinopathy is leukocyte adhesion to the diabetic retinal vasculature. The process is mediated, in part, by intercellular adhesion molecule-1 (ICAM-1) and results in blood-retinal barrier breakdown and capillary nonperfusion. This study evaluated the expression and function of the corresponding ICAM-1-binding leukocyte beta2-integrins in experimental diabetes. METHODS Diabetes was induced in Long Evans rats with streptozotocin. The expression of the surface integrin subunits CD11a, CD11b, and CD18 on rat neutrophils isolated from peripheral blood was quantitated with flow cytometry. In vitro neutrophil adhesion was studied using quantitative endothelial cell-neutrophil adhesion assays. The adhesive role of the integrin subunits CD11a, CD11b, and CD18 was tested using specific neutralizing monoclonal antibodies. CD18 bioactivity was blocked in vivo with anti-CD18 F(ab')2 fragments, and the effect on retinal leukocyte adhesion was quantitated with acridine orange leukocyte fluorography. RESULTS Neutrophil CD11a, CD11b, and CD18 surface integrin levels were 62% (n = 5, P = 0.006), 54% (n = 5, P = 0.045), and 38% (n = 5, P = 0.009) greater in diabetic versus nondiabetic animals, respectively. Seventy-five percent more neutrophils from diabetic versus nondiabetic animals adhered to rat endothelial cell monolayers (n = 6, P = 0.02). Pretreatment of leukocytes with either anti-CD11b or anti-CD18 antibodies lowered the proportion of adherent diabetic neutrophils by 41% (n = 6, P = 0.01 for each treatment), whereas anti-CD11a antibodies had no significant effect (n = 6, P = 0.5). In vivo, systemic administration of anti-CD18 F(ab')2 fragments decreased diabetic retinal leukostasis by 62% (n = 5, P = 0.001). CONCLUSIONS Neutrophils from diabetic animals exhibit higher levels of surface integrin expression and integrin-mediated adhesion. In vivo, CD18 blockade significantly decreases leukostasis in the diabetic retinal microvasculature. Integrin adhesion molecules may serve as therapeutic targets for the treatment and/or prevention of early diabetic retinopathy.
Definition of a natural killer NKR-P1A+/CD56-/CD16- functionally immature human NK cell subset that differentiates in vitro in the presence of interleukin 12 [published erratum appears in J Exp Med 1997 Mar 17;185(6):1150-1]

Human natural killer (NK) cell differentiation from immature lineage negative (Lin-) umbilical cord blood cells was examined in vitro. Cells expressing differentiation antigens of mature NK cells (CD56, CD16, CD2, CD8, NKR-P1A) were generated from Lin- cells cultured with interleukin (IL)-2 and a murine bone marrow stromal cell line expressing the human membrane-bound form of stem cell factor. Two subsets of NK cells were identified in these cultures: one expressed both NKR-P1A and CD56 and, in variable proportions, all other NK cell differentiation antigens; the second subset expressed only NKR-P1A and, unlike the former, was not cytotoxic. Neither subset expressed interferon (IFN)-gamma mRNA even after stimulation with phorbol di- ester and Ca2+ ionophore, but both expressed tumor necrosis factor alpha mRNA and the cytotoxic granule-associated proteins TIA-1, perforin, and serine esterase-1. After 10-d culture with IL-2, IL-12, and irradiated B lymphoblastoid cells, approximately 45% of the NKR- P1A+/ CD56- cells became CD56+, and the same cultures contained cells capable of cytotoxicity and of IFN-gamma production. These results indicate that NKR-P1A expression in the absence of other NK cell markers defines an intermediate, functionally immature stage of NK cell differentiation, and that effector functions develop in these cells, concomitantly with CD56 expression, in the presence of IL-12. These cells likely represent the counterpart of a CD3-/NKR-P1A+/ CD56-/CD16- cell subset that, as shown here, is present both in adult and neonatal circulating lymphocytes.
Factors affecting aluminum depletion during cyclic oxidation of Fe-base alumina-forming alloys

Abstract In order to develop an improved oxidation-limited lifetime model, experiments are being conducted to assess the critical factors that affect the rate of Al loss from Fe-base alumina-forming alloys during cyclic oxidation. Both wrought and dispersion strengthened ferritic and intermetallic Fe–Al±Cr alloys are being investigated at exposure temperatures from 1100–1300°C. Higher temperatures, thinner specimens and cycle frequency are used to accelerate degradation during oxidation. However, the effects of these experimental choices often have not been critically assessed in prior work. Electron probe microanalysis has been used to measure the residual Al content under various conditions and at various stages of life. For 0.5–2mm thick specimens, lifetime repeatedly showed a linear relationship to thickness. Increasing the oxidation temperature appears to be the most viable strategy to accelerate the evaluation of oxidation resistance for comparing and developing alloys.
VillageShare: facilitating content generation and sharing in rural networks

While broadband Internet connectivity has reached a significant part of the world's population, those living in rural areas of the developing world suffer from poor Internet connectivity over slow long distance links, if they even have connectivity at all. While this has a general negative impact on Internet utilization, our social survey of users in the community of Macha, Zambia shows that the severest impact is in the area of content generation and sharing. To this end, our work describes VillageShare, an integrated time-delayed proxy server and content-sharing Facebook application. Through these two components, VillageShare facilitates localization of traffic, protecting the bandwidth-limited Internet link from content shared between local users, and minimizes upload abortions by time-shifting large uploads to periods when the gateway link is under-utilized. In this work we analyze traffic traces from Macha to discern opportunities for improvement of connection utilization, and then describe and evaluate the VillageShare architecture.
A new approach to dynamic all pairs shortest paths

We study novel combinatorial properties of graphs that allow us to devise a completely new approach to dynamic all pairs shortest paths problems. Our approach yields a fully dynamic algorithm for general directed graphs with non-negative real-valued edge weights that supports any sequence of operations in Õ(n2) amortized time per update and unit worst-case time per distance query, where n is the number of vertices. We can also report shortest paths in optimal worst-case time. These bounds improve substantially over previous results and solve a long-standing open problem. Our algorithm is deterministic and uses simple data structures.
Pharmacists’ perceptions of the impact of care they provide

Limitations on health care resources necessitate careful focus on activities that lead to the greatest improvement in patient outcomes. Despite the importance of aligning pharmacists’ time with activities deriving the most impact, there is a paucity of literature on the correlations between pharmacists’ perceptions of the impact of their activities, how they actually spend their time and how these align with published evidence of impacts on patient outcomes. Objective To reveal hospital pharmacists’ perceptions of the impacts of their clinical activities and to characterize the correlation between the activities performed and both their perceptions of and the published evidence for their impacts on patient care. Methods Observational qualitative interviews and quantitative questionnaires were conducted with each participant (N=21) to characterize their work day and determine their perceptions of the impact of their activities. A systematic literature review catalogued pharmacists’ activities with impact on patient outcomes. Primary endpoint: degree of correlation in three pair-wise comparisons between pharmacists’ perceptions of impact, time allotted to activities, and published evidence of impact. Results Pharmacists’ time spent was positively and significantly correlated with their perception of impact (P=0.037) but not with the published evidence of impact (in either of the two analytical scenarios). The correlation between published evidence and pharmacists’ perceptions of impacts was on the threshold of statistical significance with a moderate strength of association in one of the two analytical scenarios used. Conclusions Pharmacists dedicate more of their clinical time to activities they perceive to have greater impact. However, these perceptions and their time allocation does not correlate well with published evidence, and some misperceptions about impacts deserve correction. More rigorous research is needed to quantify the value of pharmacist services to the health care system, however designing such studies to isolate the value of specific activities will be challenging.
Whose Utilities for Decision Analysis?

The goal of this study was to examine sources of variation in the utilities assigned to health states. The authors selected a common clinical problem, carcinoma of the rectum, and examined the utilities assigned to colostomy, a common outcome of treatment for that disease. After preparing and validating a description of colostomy and its effects on patients' lives, utilities for the state were obtained from five groups of individuals. These comprised two groups of patients who received treatment for rectal cancer, a group of physicians and surgeons specializing in the treatment of this disease, and two groups of healthy subjects, none of whom were health professionals. Of the patients who had been treated for rectal cancer, one group had been treated surgically with the formation of colostomies and the other had been treated with radiotherapy and none had a colostomy. Utilities for colostomy were elicited using the standard gamble, category rating, and a treatment choice question naire. The groups differed substantially in the utilities assigned to colostomy. In general, patients with colostomies and physicians assigned significantly higher utilities than did pa tients who did not themselves have a colostomy. The clinical significance of these differences was examined in a simplified clinical decision problem that compared surgery (with colostomy) and radiotherapy (without colostomy) as primary treatment. The expected clinical value of these treatment alternatives was substantially influenced by the differences observed in utilities for colostomy. These results emphasize the importance of patient utilities in clinical decision making and the need to gain greater understanding of the factors that influence the utilities that patients assign to health states. Key words: utilities; decision analysis; oncology. (Med Decis Making 1990;10:58-67)
Whole Genome Gene Expression Analysis Reveals Casiopeína-Induced Apoptosis Pathways

Copper-based chemotherapeutic compounds Casiopeínas, have been presented as able to promote selective programmed cell death in cancer cells, thus being proper candidates for targeted cancer therapy. DNA fragmentation and apoptosis–in a process mediated by reactive oxygen species–for a number of tumor cells, have been argued to be the main mechanisms. However, a detailed functional mechanism (a model) is still to be defined and interrogated for a wide variety of cellular conditions before establishing settings and parameters needed for their wide clinical application. In order to shorten the gap in this respect, we present a model proposal centered in the role played by intrinsic (or mitochondrial) apoptosis triggered by oxidative stress caused by the chemotherapeutic agent. This model has been inferred based on genome wide expression profiling in cervix cancer (HeLa) cells, as well as statistical and computational tests, validated via functional experiments (both in the same HeLa cells and also in a Neuroblastoma model, the CHP-212 cell line) and assessed by means of data mining studies.
Humicola sp. as a Cause of Peritoneal Dialysis-Associated Peritonitis

ABSTRACT Peritoneal dialysis is the renal replacement modality used by ∼20% of patients with end-stage kidney disease (S. McDonald, P. Clayton, and K. Hurst, p. 6.2–6.27, in ANZDATA 2012 Annual Report, 35th ed., 2012). A major complication of peritoneal dialysis is the development of peritonitis. We describe a case of Humicola sp. causing peritoneal dialysis (PD)-associated peritonitis, successfully treated with a prolonged course of antifungal therapy.
The development of reading impairment: a cognitive neuroscience model.

This review discusses recent cognitive neuroscience investigations into the biological bases of developmental dyslexia, a common disorder impacting approximately 5 to 17 percent of the population. Our aim is to summarize central findings from several lines of evidence that converge on pivotal aspects of the brain bases of developmental dyslexia. We highlight ways in which the approaches and methodologies of developmental cognitive neuroscience that are addressed in this special issue-including neuroimaging, human genetics, refinement of cognitive and biological phenotypes, neural plasticity and computational model-can be employed in uncovering the biological bases of this disorder. Taking a developmental perspective on the biological bases of dyslexia, we propose a simple cascading model for the developmental progression of this disorder, in which individual differences in brain areas associated with phonological processing might influence the specialization of visual areas involved in the rapid processing of written words. We also discuss recent efforts to understand the impact of successful reading interventions in terms of changes within cortical circuits associated with reading ability.
Cross-layer modeling and analysis of multihop tactical networking in convoy topology

In this paper, we develop a framework for studying the performance of guaranteed and best-effort data delivery services over wireless tactical networks with multiple relays and multiple clusters. In particular, we apply the analysis technique to a convoy topology and incorporate practical models for narrowband VHF radios and propagation to evaluate the network performance. The numerical results have demonstrated the performance tradeoffs between throughput and efficiency/robustness over a wide range of radio modes and network configurations. These results lead to approaches for wireless networking optimized for tactical radios in terrestrial environments.
Social Learning and Trial on the Internet

Internet retail sales are impeded when consumers have difficulty acquiring information about non-digital product attributes. Firms therefore employ creative (and sometimes costly) methods such as two-way free shipping to help consumers resolve the problem of incomplete consumer knowledge on non-digital attributes. We argue that consumers and firms can benefit from social learning processes that occur “naturally” and emanate from neighborhood characteristics. We use trial data from Bonobos.com, a leading US online retailer for men’s fashion apparel, to demonstrate that social learning occurs. We further show that geographic variation in “neighborhood social capital” moderates this process and explains geographic variation in online sales. We find that social learning reduces pre-trial consumer disutility by reducing bias in consumers’ initial evaluation of non-digital attributes. The estimates imply that up to 50% of all trials in the first three and a half years of Bonobos’ sales were influenced by social learning. In addition, social learning is more efficacious in neighborhoods with more social capital. Our estimates imply that a onestandard deviation reduction in the social capital stock of all zip codes would slow trials and reduce them by about 4%.
Comprehensive Analysis and Characterization of Linear Antigenic Domains on HN Protein from Genotype VII Newcastle Disease Virus Using Yeast Surface Display System

Circulation of genotype VII Newcastle disease virus (NDV) has posed a great threat for the poultry industry worldwide. Antibodies against Hemagglutinin-neuraminidase (HN), a membrane protein of NDV with critical roles in NDV infection, have been reported to provide chickens protection from NDV infection. In this study, we comprehensively analyzed the in vivo antibody responses against the linear antigenic domains of the HN protein from genotype VII NDV using a yeast surface display system. The results revealed four distinct regions of HN, P1 (1-52aa), P2 (53-192aa), P3 (193-302aa) and P4 (303-571aa), respectively, according to their antigenic potency. Analysis by FACS and ELISA assay indicated P2 to be the dominant linear antigenic domain, with the immunogenic potency to protect the majority of chickens from NDV challenge. In contrast, the P1, P3 and P4 domains showed weak antigenicity in vivo and could not protect chickens from NDV challenge. These results provide important insight into the characteristic of humoral immune responses elicited by HN of NDV in vivo.
Anthraquinone Content in Noni (Morinda citrifolia L.)

Noni has been used in traditional medicine and as food for thousands of years. While the fruits serve as food and internal medicine, leaves were traditionally used only topically. In recent years, concern regarding the possible content of anthraquinones in noni has led to scrutiny by the European Food Safety Authority. Little research existed on the content of anthraquinones in different noni preparations, with no information about the potential effect of harvest and preparation methods. Our research focused on lucidin, alizarin, and rubiadin, the most important anthraquinones from a health perspective. We found that the production process (fermentation/juice production versus drying/lyophilization) has no effect on the anthraquinone content. The source product, however, does have implications: noni fruit puree from which seeds had been removed as well as consumer products produced from such puree had no detectable amounts of any anthraquinones. Products that did contain seed or leaf material in all cases did contain partly significant amounts of anthraquinones. To alleviate safety concerns, we suggest that noni products, whether fermented or unfermented juice or powder, should be derived only from fully ripe noni fruits, and that any seed material needs to be removed during the production process.
Spectrum efficiency of multilevel modulation schemes in mobile radio communications

Lee (1989) has produced equations describing spectrum efficiency for modulation schemes operating in cellular environments. The present authors consider the performance of a range of multilevel modulation schemes when these spectrum efficiency equations are applied. They then proceed to adapt these efficiency equations for use in microcells before considering the performance of multilevel modulation within this environment. The results show that the preferred modulation scheme depends on the BER required, with 4 level PSK being preferred in conventional cells, and variable 16 level QAM, or 32 or 64 level QAM being suitable in microcells, particularly when a high SNR is available. >
Airline Passenger Profiling Based on Fuzzy Deep Machine Learning

Passenger profiling plays a vital part of commercial aviation security, but classical methods become very inefficient in handling the rapidly increasing amounts of electronic records. This paper proposes a deep learning approach to passenger profiling. The center of our approach is a Pythagorean fuzzy deep Boltzmann machine (PFDBM), whose parameters are expressed by Pythagorean fuzzy numbers such that each neuron can learn how a feature affects the production of the correct output from both the positive and negative sides. We propose a hybrid algorithm combining a gradient-based method and an evolutionary algorithm for training the PFDBM. Based on the novel learning model, we develop a deep neural network (DNN) for classifying normal passengers and potential attackers, and further develop an integrated DNN for identifying group attackers whose individual features are insufficient to reveal the abnormality. Experiments on data sets from Air China show that our approach provides much higher learning ability and classification accuracy than existing profilers. It is expected that the fuzzy deep learning approach can be adapted for a variety of complex pattern analysis tasks.