Miracle-dz/UniFAR-FTUs huggingface dataset:
Serious Adverse Events in the Canadian Registry of Children Receiving Palivizumab (CARESS) for Respiratory Syncytial Virus Prevention

Objectives To evaluate the safety and tolerability of palivizumab for RSV prophylaxis in high-risk children in everyday practice. Methods High-risk children prophylaxed against RSV infection were recruited into a prospective, observational, Canadian RSV Evaluation Study of Palivizumab (CARESS) registry with active, serious adverse event (SAE) monitoring from 2008 to 2013. SAE reports were systematically collected and assessed for severity and relationship to palivizumab. Data were analyzed by Chi-square or Fisher Exact Tests to examine group differences in proportions. Results 13025 infants received 57392 injections. Hospitalizations for respiratory-related illness (RIH) were reported in 915 patients, and SAEs other than RIH were reported in 52 patients. Of these, 6 (0.05%) patients had a total of 14 hypersensitivity reactions that were deemed possibly or probably related to palivizumab (incidence: 2.8 per 10,000 patient-months). The SAEs of 42 patients were assessed as not related to palivizumab. SAEs in the remaining 4 patients were not classifiable as their records were incomplete. There were no significant demographic predictors of SAE occurrence. Conclusions Under active surveillance, a small proportion of infants in the CARESS registry experienced SAEs that had a potential relationship with palivizumab and these appeared to be unpredictable in terms of onset. Palivizumab appears to be a safe and well-tolerated antibody for RSV prophylaxis in high-risk children in routine practice.
Looking Beyond Selection Probabilities: Adaptation of the 2 Measure for the Performance Analysis of Selection Methods in GAs

Viewing the selection process in a genetic algorithm as a two-step procedure consisting of the assignment of selection probabilities and the sampling according to this distribution, we employ the 2 measure as a tool for the analysis of the stochastic properties of the sampling. We are thereby able to compare different selection schemes even in the case that their probability distributions coincide. Introducing a new sampling algorithm with adjustable accuracy and employing two-level test designs enables us to further reveal the intrinsic correlation structures of well-known sampling algorithms. Our methods apply well to integral methods like tournament selection and can be automated.
Private-by-Design Advertising Meets the Real World

There are a number of designs for an online advertising system that allow for behavioral targeting without revealing user online behavior or user interest profiles to the ad network. However, none of the proposed designs have been deployed in real-life settings. We present an effort to fill this gap by building and evaluating a fully functional prototype of a practical privacy-preserving ad system at a reasonably large scale. With more than 13K opted-in users, our system was in operation for over two months serving an average of 4800 active users daily. During the last month alone, we registered 790K ad views, 417 clicks, and even a small number of product purchases. In addition, our prototype is equipped with a differentially private data collection mechanism, which we used as the primary means for gathering experimental data. The data we collected show, for example, that our system obtained click-through rates comparable with those for Google display ads. In this paper, we describe our first-hand experience and lessons learned in running the first fully operational "private-by-design'' behavioral advertising and analytics system.
On classification compatibility laws of Zhongjing prescriptions

Zhongjing prescriptions are selected as data set in this paper. First, a classification association rules mining algorithm, which selected features based on information gain, short for CARM-IG, is achieved. The algorithm is used to mine compatibility laws of Zhang Zhongjing from cold-heat, deficiency-excess in eight principals of TCM (Traditional Chinese Medicine). Second, 21 rules which are applied to the treatment of cold, heat or cold-heat mixing syndromes are mined. And 29 rules which are applied to the treatment of deficiency, excess or deficiency-excess mixing syndromes are discovered too. The reduction of run time and memory cost of algorithm CARM-IG had been proved, at the same time, the concision and precision of classification compatibility laws are guaranteed because of the deletion of irrelevant Chinese medicines with classification. Finally, the compatibility laws of Zhang Zhongjing are listed in this paper, which would be used to direct clinical practice sometimes.
Ultra-low-leakage chip multiprocessor design with hybrid FinFET logic styles

FinFET has begun replacing CMOS at the 22nm technology node because of its enhanced ability to mitigate short-channel effects. Although leakage power of FinFET logic gates is lower than their CMOS counterparts, it still contributes to a large part of total power consumption. In this article, we show how ultra-low-leakage FinFET chip multiprocessors (CMPs) can be designed using a hybrid logic style. This hybrid style exploits the ultra-low-leakage feature of asymmetric-workfunction shorted-gate (ASG) FinFETs and the high-performance feature of shorted-gate (SG) FinFETs. We explore the impact of the hybrid style at both the module and CMP levels. To do this, we have developed FinFET logic libraries targeted at SG and ASG logic gates, suitably characterized for various parameters of interest. We have also modified existing tools and created a framework to evaluate the hybrid designs of SRAMs, caches, and CMPs. Using the design with SG FinFETs as the baseline for comparison, our experimental results show that the hybrid style can reduce leakage power of execution units to as low as 10.6% of the baseline without hurting performance, that of SRAMs to between 21.5% and 4.8% of the baseline with 0%-8.3% delay overhead, and that of CMPs to 10.0% of the baseline with negligible performance degradation.
Improving model shape acquisition by incorporating geometric constraints

While the problem of model tting for 3-dimensional range data has been addressed with some success, the problem of increasing the accuracy of the whole t still remains. This paper describes a technique of global shape improvement based upon feature position and shape constraints. These constraints may be globally applied or inferred from general engineering principles. This paper describe a general , incremental, framework whereby constraints can be added and integrated in the model reconstruction process, resulting on optimal trade-oo between minimization of the shape tting error and the con-straint's tolerances.
Discovery of seven ZZ Ceti stars using a new photometric selection method

We report the detection of non-radial g -mode oscillations in seven relatively bright ($14.4<B<16.5$) DA white dwarf stars from time-series photometry collected at the Nordic Optical Telescope (NOT) at Roque de Los Muchachos Observatory, Spain. The candidate variable stars were selected from preparatory photometric observations of objects from the Hamburg Quasar Survey (HQS) and from spectroscopy of stars from the Villanova (WD) catalogue. The selection of ZZ Ceti candidate stars from photometric data proved nearly as successful as the more common spectroscopic selection method. The effective temperatures that we derive from both methods are consistent with a pure ZZ Ceti instability strip.
SlERF36, an EAR-motif-containing ERF gene from tomato, alters stomatal density and modulates photosynthesis and growth

The AP2 domain class of transcription factors is a large family of genes with various roles in plant development and adaptation but with very little functional information in plants other than Arabidopsis. Here, the characterization of an EAR motif-containing transcription factor, SlERF36, from tomato that affects stomatal density, conductance, and photosynthesis is described. Heterologous expression of SlERF36 under the CaMV35S promoter in tobacco leads to a 25–35% reduction in stomatal density but without any effect on stomatal size or sensitivity. Reduction in stomatal density leads to a marked reduction in stomatal conductance (42–56%) as well as transpiration and is associated with reduced CO2 assimilation rates, reduction in growth, early flowering, and senescence. A prominent adaptive response of SlERF36 overexpressors is development of constitutively high non-photochemical quenching (NPQ) that might function as a protective measure to prevent damage from high excitation pressure. The high NPQ leads to markedly reduced light utilization and low electron transport rates even at low light intensities. Taken together, these data suggest that SlERF36 exerts a negative control over stomatal density and modulates photosynthesis and plant development through its direct or indirect effects.
[Side effects and anti-cancer effects following intraperitoneal (ip) administration of mitomycin C (MMC)].

Nineteen patients with gynecological cancers were initially treated intraperitoneally with MMC at a dose of 20 to 52 mg/body and then intravenously with CAP regimen. The following side effects were observed in patients intraperitoneally administered doses of MMC greater than 25 mg/m2; leucocytopenia 7/12, thrombocytopenia 5/12, liver damage 8/12, renal damage 2/12, ileus 3/12 and severe anorexia 2/12. Sixteen patients were evaluated for their prognoses more than 1 year after treatment. Seven of them are well with no sign of recurrence, but 9 suffered recurrence with or without peritonitis carcinomatosa (PC). The incidence of PC among these 9 cases was not linked with clinical staging, complete or incomplete resection or the dose of MMC administered, but rather with the respective histopathology; mesonephroid 2/2, metastatic 2/2, mucinous 1/1, serous 0/3, endometrial corpus 0/1. The results suggested that the former 3 kinds of cancer did not respond to i.p. infusion of MMC, whereas the latter 2 were sufficiently sensitive to MMC to prevent the occurrence of PC.
Propagation of geotags based on object duplicate detection

In this paper, we consider the use of object duplicate detection for the propagation of geotags from a small set of images with location names (IPTC) to a large set of non-tagged images. The motivation behind this idea is that images of individual locations usually contain specific objects such as monuments, buildings or signs. Therefore, object duplicate detection can be used to establish the correspondence between tagged and non-tagged images. Our recent graph based object duplicate detection approach is adapted for this task. The effectiveness of the approach is demonstrated through a set of experiments considering various locations.
Enhancing Real-Time Delivery in Wireless Sensor Networks With Two-Hop Information

A two-hop neighborhood information-based routing protocol is proposed for real-time wireless sensor networks. The approach of mapping packet deadline to a velocity is adopted as that in SPEED; however, our routing decision is made based on the novel two-hop velocity integrated with energy balancing mechanism. Initiative drop control is embedded to enhance energy utilization efficiency, while reducing packet deadline miss ratio. Simulation and comparison show that the new protocol has led to lower packet deadline miss ratio and higher energy efficiency than two existing popular schemes. The result has also indicated a promising direction in supporting real-time quality-of-service for wireless sensor networks.
Various Approaches to Cosmological Gravitational Lensing in Inhomogeneous Models

Gravitational lensing of distant objects caused by gravitational tidal forces from inhomogeneities in the universe is weak in most cases, but it is noticed that it gives a great deal of information about the universe, especially regarding the distribution of dark matter. The statistical values of optical quantities such as convergence, amplification and shear have been derived by many people using various approaches, which include the linear perturbational treatment in the weak limit and the nonlinear treatment considering small-scale matter distribution. In this review paper we compare the following three main approaches: (a) the approach in the multi-lens-plane theory; (b) the approach due to the direct integration method; and (c) the perturbational approach. In the former two approaches inhomogeneous matter distributions are produced in the CDM model using $N$-body simulations (the P$^3$M code and the tree-code, respectively). In (c) the power spectrum corresponding to the CDM model is used for the large-scale matter distribution.
The Internet and Family and Acquaintance Sexual Abuse

This article explores the dynamics of cases involving family and acquaintance sexual offenders who used the Internet to commit sex crimes against minors. Although the stereotype of Internet crimes involves unknown adults meeting juvenile victims online, Internet use can also play a role in sexual crimes against minors by family members and acquaintances. Data were collected from a national sample of law enforcement agencies about arrests for Internet-related sex crimes against minors. Family and acquaintance offenders were nearly as numerous as offenders who used the Internet to meet victims online. They used the Internet in various ways to further their crimes including as a tool to seduce or groom, store or disseminate sexual images of victims, arrange meetings and communicate, reward victims, or advertise or sell victims. Prevention messages and investigation approaches should be revised to incorporate awareness of such cases and their dynamics.
An effective PSO-TLBO algorithm for multi-objective optimization

In this study, we present an effective hybrid algorithm based on particle swarm optimization (PSO) and teaching-learning-based optimization (TLBO), called PSO-TLBO, to solve multi-objective optimization (MOO) problems. In PSO-TLBO, teacher phase and learner phase in TLBO are incorporated to a PSO to improve the exploration and exploitation ability. Another feature of PSO-TLBO is the improved circular crowed sorting (CCS) to truncate the external archive which stores the nondominated solutions found during the search. Moreover, the polynomial mutation is used only when the velocities of all solutions are very small. The performance of PSO-TLBO algorithm for MOO is tested on ZDT and DTLZ benchmarks functions and compared with some powerful MOO algorithms in terms of both convergence and spread performance. Also, the contribution of CCS is compared with crowded sorting in NSGA-II. Comparison results reveal the powerful ability of PSO-TLBO to obtain remarkable solutions in terms of inverted generational distance (IGD) metrics.
Oily chemoembolization combined with degradable starch microspheres for HCC with cirrhosis.

BACKGROUND/AIMS To assess efficacy of transcatheter arterial chemoembolization (TACE) combined with degradable starch microspheres (DSM) for patients with liver cirrhosis and hepatocellular carcinoma (HCC). METHODOLOGY Our studied population was 19 patients with unresectable HCC and liver dysfunction due to repeated TACE, in whom we were unable to selectively advance a microcatheter into the feeding arteries because of tortuous or complex feeding arteries to the HCC. To avoid embolization of an extended non-tumorous area, we conducted Lipiodol-TACE after DSM-embolization (TACE-DSM) of the tumor-free parenchyma. Embolization data and clinical parameters were prospectively assessed. RESULTS TACE-DSM was performed 21 times in the 19 patients, and the overall technical success rate was 81%. The TACE-DSM method did not induce severe liver dysfunction. A favorable response involving necrosis of more than 80% or 50% of the tumor was seen in 62% and 90% of cases, respectively. In the follow-up period (8 to 36 months), complete necrosis of the targeted tumors was observed in 26% of cases. The 2-year survival rates calculated as starting from the date of TACE-DSM therapy was 32.6%. CONCLUSIONS From these results we conclude that TACE-DSM therapy is useful for protecting liver function in patients with cirrhosis and unresectable HCC.
A design solution for fretting corrosion

Application of electronics in systems that are exposed to high vibratory and shock stresses requires the use of fretting protected electrical connections. Fretting corrosion is caused by a relative motion of mated contact surfaces and results in contact failures. This paper presents a design concept that eliminates the relative motion at the contact point by introducing an additional elastic element. When the male half of a connector assembly moves relative to the female half, the contact regions on the male and female contacts will move some distance together before they start slipping. The onset of slip is predictable and measurable. This paper discusses the formula that determines the limit from where slip starts to occur. Also discussed are the effects of connector and application parameters such as coefficient of friction, normal force, spring rate, size of displacement and lubrication. Evidence is presented that confirms the validity of the approach. The AMP Micro-MaTch/sup TM/ contact system is used as example.
Aspects of the role of the residential theological college in the initial education and training of the clergy of the church of England

ABSTRACT The article challenges a simple view of the role of the residential college, in this case the professional training colleges for Anglican priesthood. After a brief explanation of how Anglican priests are selected and trained through a system which is both traditional and personal and at the same time bureaucratic and organisational, the authors examined secondary works, the literature produced by the college to describe themselves and a pilot-study of a small group of final year students was undertaken. Following a brief explanation of how students progress through selection and training, the colleges are examined according to the academic dimension, the practical dimension and the spiritual dimension of training. Special attention is paid to the residential context and the career of the student priest as revealed in the literature and in the survey. Conclusions are drawn to give a new perspective on professional preparation, suggesting that issues such as the relation of knowledge to practice, t.
Sustainable schools programmes: what influence on schools and how do we know?

This paper focuses on our experience of researching the influence of ResourceSmart Schools, a sustainable schools programme in Victoria, Australia. Drawing on ideas from programme theory and realist synthesis, we illustrate and reflect upon our approach to conceptualising, investigating and generating evidence about the programme’s impacts and influence in participating schools. This distinction is deliberate: it helps distinguish between efforts to understand the impacts that a programme has within schools (programme impact), and efforts to understand what it is about a programme that is influential in bringing about those impacts (programme influence). Drawing on evidence from our work in this project and the wider literature, we argue for a more nuanced discussion and more sophisticated investigations into the complexities of programme influence, rather than impacts only. Our conclusions suggest key areas of development for our own work, the provision of environmental and sustainability education, and their evaluation and research more broadly.
Patient Willingness to Pay for a Kidney for Transplantation

While kidney transplantation is the most cost‐effective treatment available for end‐stage renal disease (ESRD) and affords patients with the best quality of life, the current supply of kidneys does not meet the demand. A potential solution to increasing the supply is to compensate living donors for a kidney. The purpose of this study was to describe ESRD patient willingness to pay for a kidney. Using a self‐administered survey, 107 patients in 31 U.S. states completed the survey. The quantitative method and descriptive survey design employed descriptive, correlational, nonparametric and multivariate statistical tests to evaluate the data. Of participants, 78.5% were willing to pay for a kidney; there were significant correlations between gender, health status, household income, preferred source of a kidney and willingness to pay. Men, patients with poor and fair health status and those with household incomes ≥$50 000 were more willing to pay. Step‐wise regression analysis found price and doctor's influence accounting for 52% of variance in willingness to pay. As price increased and doctor's opinion mattered, willingness to pay increased. This study supports development of additional studies with larger sample sizes and patients on kidney transplant waiting lists.
Sveriges Riksbank Working Paper Series 276 Approximate Dynamic Programming with Post- Decision States as a Solution Method for Dynamic Economic Models Approximate Dynamic Programming with Post-decision States as a Solution Method for Dynamic Economic Models

The Working Paper series presents reports on matters in the sphere of activities of the Riksbank that are considered to be of interest to a wider public. The papers are to be regarded as reports on ongoing studies and the authors will be pleased to receive comments. The views expressed in Working Papers are solely the responsibility of the authors and should not to be interpreted as reflecting the views of the Executive Board of Sveriges Riksbank. Abstract I introduce and evaluate a new stochastic simulation method for dynamic economic models. It is based on recent work in the operations research and engineering literatures (Van The baseline method involves rewriting the household's dynamic program in terms of post-decision states. This makes it possible to choose controls optimally without computing an expectation. I add a subroutine to the original algorithm that updates the values of states not visited frequently on the simulation path; and adopt a stochastic stepsize that efficiently weights information. Finally, I modify the algorithm to exploit GPU computing. The views expressed in this paper are solely the responsibility of the author and should not be interpreted as reflecting the views of the Executive Board of Sveriges Riksbank.
Co-citations and Relevance of Authors and Author Groups

The way an author or a group of authors are cited tells more about the real impact of their work than authorship and collaborations. Indeed, the connections within the scientific community can be more accurately elicited from the co-citation graph than from the collaboration graph. We suggest some indices that can be drawn from the co-citation graph in order to capture the relevance of individual authors and the relevance of groups of authors.