Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of EUV exposure upon surface residual chemicals on EUV mask surface

Photo-induced defect for optic mask mainly depends on the surface residual ions coming from cleaning process, pellicle outgassing, or storage environments. Similar defect for EUV mask triggered by accumulated photon energy during photolithography process has drawn interest recently but this defect is somewhat different from normal photo-induced defect for optic mask. The photo-induced defect for EUV mask is known to be created by the chemical deposition of Carbon atoms originating from cracking of hydrocarbons by EUV light and secondary electrons on capping layer. It is very likely that Carbon contamination would be dominant under normal EUV exposure condition. On the other hand, it is expected that another kind of photo-induced defects would rise to surface under controlled environment where Carbon contamination growth is severely suppressed. We may have to understand the behavior of surface residual ions under EUV light in order to cope with another probable EUV photo-induced defect. In this paper, we will investigate whether surface ions remaining after cleaning process like sulfate or ammonium ions would create printable defects or decompose into evaporable species under EUV light. In case they create certain defects on mask surface, their effect on EUV reflectivity and absorber pattern CD variation will be also examined. Finally, improved cleaning process to impede photo-induced defect creation on EUV mask will be introduced.
FEV6 and FEV1/FEV6 in Japanese participants of the community-based annual health check: the Takahata study.

BACKGROUND Forced expiratory volume in 6 seconds (FEV(6)) is becoming a substitute of forced vital capacity (FVC). However, the Japanese predictive equation for FEV(6) has not been established, and the validity for the use of FEV(1)/FEV(6) for diagnosing airflow limitation in Japanese has not been confirmed. METHODS Subjects aged 40 or older, who had participated in a community-based health check in Takahata, Japan, from 2004 through 2005, were enrolled. The smoking histories of these subjects were investigated using a self-reporting questionnaire. FVC, FEV(1), and FEV(6) were measured using spirometric machines. Predictive equations of FEV(6) were obtained from never-smoking subjects without history of pulmonary diseases by multiple linear regression assay. RESULTS FEV(6) and FEV(1)/FEV(6) were significantly correlated with FVC (r=0.998, p<0.001) and FEV(1)/FVC (r=0.989, p<0.001), respectively. The cutoff values of percent predicted (%) FEV(6) and FEV(1)/FEV(6) for discrimination of having the restrictive lung disorder determined by %FVC <0.8 and having the airflow limitation determined by FEV(1)/FVC <0.7 were 0.80 and 0.72, respectively (%FEV(6): sensitivity=0.995, specificity=0.983, positive predictive value =0.832, negative predictive value =1.000; FEV(1)/FEV(6): sensitivity=0.942; specificity=0.971; PPV=0.787; NPV=0.993). When the 5th percentile the lower limit of normal values was used as criterion for discrimination of having airflow limitation, sensitivity, specificity, PPV, and NPV of FEV(1)/FEV(6) were 0.932, 0.985, 0.808, and 0.995, respectively. CONCLUSION The results of the present study suggest that %FEV(6) and FEV(1)/FEV(6) are excellent substitutes for %FVC and FEV(1)/FVC, respectively. We confirmed the validity of the use of FEV(6) and FEV(1)/FEV(6) for identifying pulmonary diseases in Japanese individuals.
Automatic Role Recognition in Multiparty Recordings: Using Social Affiliation Networks for Feature Extraction

Automatic analysis of social interactions attracts increasing attention in the multimedia community. This letter considers one of the most important aspects of the problem, namely the roles played by individuals interacting in different settings. In particular, this work proposes an automatic approach for the recognition of roles in both production environment contexts (e.g., news and talk-shows) and spontaneous situations (e.g., meetings). The experiments are performed over roughly 90 h of material (one of the largest databases used for role recognition in the literature) and show that the recognition effectiveness depends on how much the roles influence the behavior of people. Furthermore, this work proposes the first approach for modeling mutual dependences between roles and assesses its effect on role recognition performance.
Cyclin A Promotes S-Phase Entry via Interaction with the Replication Licensing Factor Mcm7

ABSTRACT Cyclin A is known to promote S-phase entry in mammals, but its critical targets in this process have not been defined. We derived a novel human cyclin A mutant (CycA-C1), which can activate cyclin-dependent kinase but cannot promote S-phase entry, and isolated replication licensing factor Mcm7 as a factor that interacts with the wild-type cyclin A but not with the mutant. We demonstrated that human cyclin A and Mcm7 interact in the chromatin fraction. To address the physiological significance of the cyclin A-Mcm7 interaction, we isolated an Mcm7 mutant (Mcm7-3) that is capable of association with CycA-C1 and found that it can also suppress the deficiency of CycA-C1 in promoting S-phase entry. Finally, RNA interference experiments showed that the CycA-C1 mutant is defective for the endogenous cyclin A function in S-phase entry and that this defect can be suppressed by the Mcm7-3 mutant. Our findings demonstrate that interaction with Mcm7 is essential for the function of cyclin A in promoting S-phase entry.
1-D blood flow modelling in a running human body

Abstract In this paper an attempt was made to simulate blood flow in a mobile human arterial network, specifically, in a running human subject. In order to simulate the effect of motion, a previously published immobile 1-D model was modified by including an inertial force term into the momentum equation. To calculate inertial force, gait analysis was performed at different levels of speed. Our results show that motion has a significant effect on the amplitudes of the blood pressure and flow rate but the average values are not effected significantly.
Multiple sclerosis-associated retroviral agent (MSRV)-stimulated cytokine production in patients with relapsing-remitting multiple sclerosis

Background Human endogenous retroviruses are suggested to play a pathogenic role in multiple sclerosis (MS); one of such retroviruses, the MS-associated retroviral agent (MSRV) has repeatedly been isolated in MS patients. Objective and methods We analyzed cytokine profiles in MSRV envelope protein (MSRV ENV-SU)-stimulated peripheral blood mononuclear cells of 30 relapsing-remitting MS patients with either acute (AMS) (n = 13) or stable (SMS) (n = 17) disease. Results suggest that MSRV ENV-SU induces the production of inflammatory cytokines, including tumor necrosis factor-α (P < 0.05) and interferon-γ (P < 0.004) in AMS patients and of interleukin-10 (P < 0.05), an inflammation-dampening cytokine, in SMS individuals. Conclusions These data strengthen the hypothesis indicating that MSRV could be involved in the pathogenesis of MS.
Analysis of learning behavior in a flipped programing classroom adopting problem-solving strategies

ABSTRACT Programing is difficult for beginners because they need to learn the new language of computers. Developing software, especially complex software, is bound to result in problems, frustration, and the need to think in new ways. Identifying the learning behavior behind programing by way of empirical studies can help beginners learn more easily. In this study, a flipped classroom combined with the blended learning mode was adopted by switching the in-class instructional time and the out-of-class edX lecture time. The research laboratory developed a system that collected the teacher and students discussion activities when adopting problem-solving strategies in online discussion. The participants were 44 third-year college students from the computer science course of a university in northern Taiwan. The experiment was from 30th March to 4th May in 2015. A total of 120 initial comments were collected, along with 401 responding comments. These 521 comments were coded according to the problem-solving steps as posing questions, offering solutions, discussion, and sharing conclusions. The inter-rater reliability of the two coders reached a kappa value of 0.81. The results indicated that the flipped classroom combined with the problem-solving strategy was more effective than the previous problem-solving behavior sequence.
Central Neurocytoma. A Clinico-Pathologic study of Five Cases

Five cases of central neurocytomas are described. The tumors occurred in relatively young patients (range 14 to 43 years; mean age, 27) with no predilection for sex. All the lesions were located in the anterior portion of the lateral ventricles or in the third ventricle, involving the septum pellucidum or the fornix. Histologically, they were composed of uniform cells with round nuclei and clear cytoplasm resembling oligodendrogliomas or, to a lesser extent, ependymomas. In 4 tumors, protein cell nuclear antigen immunostaining showed a low cell proliferation rate. All cases were positive for neuron-specific enolase. Four of the 5 cases were strongly immunoreactive for synaptophysin. The immunohistochemical data were consistent with neuronal differentiation. Resection was subtotal in 4 cases and total in one. Postoperative radiotherapy was given in only one case. The follow-up revealed a good prognosis: 4 patients were alive and had a long survival (from 2 to 8 years). Only one patient died after 14 months for causes unrelated to the neoplasm. The authors emphasize the importance of immunohistochemistry to recognize this benign intraventricular tumor.
A temporal context-aware model for user behavior modeling in social media systems

Social media provides valuable resources to analyze user behaviors and capture user preferences. This paper focuses on analyzing user behaviors in social media systems and designing a latent class statistical mixture model, named temporal context-aware mixture model (TCAM), to account for the intentions and preferences behind user behaviors. Based on the observation that the behaviors of a user in social media systems are generally influenced by intrinsic interest as well as the temporal context (e.g., the public's attention at that time), TCAM simultaneously models the topics related to users' intrinsic interests and the topics related to temporal context and then combines the influences from the two factors to model user behaviors in a unified way. To further improve the performance of TCAM, an item-weighting scheme is proposed to enable TCAM to favor items that better represent topics related to user interests and topics related to temporal context, respectively. Based on TCAM, we design an efficient query processing technique to support fast online recommendation for large social media data. Extensive experiments have been conducted to evaluate the performance of TCAM on four real-world datasets crawled from different social media sites. The experimental results demonstrate the superiority of the TCAM models, compared with the state-of-the-art competitor methods, by modeling user behaviors more precisely and making more effective and efficient recommendations.
Activation of Nlrp3 Inflammasomes Enhances Macrophage Lipid-Deposition and Migration: Implication of a Novel Role of Inflammasome in Atherogenesis

Although Nlrp3 inflammasome activation in macrophages has been shown to be critical for the development of atherosclerosis upon atherogenic stimuli, it remains unknown whether activated Nlrp3 inflammasomes by other non-atherogenic stimuli induce alterations in macrophages that may contribute in the concert with other factors to atherogenesis. Thus, the present study tested the hypothesis that activation of Nlrp3 inflammasomes by ATP, which is a classical non-lipid danger stimulus, enhances the migration of macrophage and increases lipids deposition in macrophages accelerating foam cell formation. We first demonstrated that extracellular ATP (2.5 mM) markedly increased the formation and activation of Nlrp3 inflammasomes in bone marrow macrophages (BMMs) from wild type (Asc+/+) mice resulting in activation of caspase-1 and IL-1β production. In these Asc+/+ macrophages, such stimulation of inflammasomes by non-lipid ATP was similar to those induced by atherogenic stimuli such as cholesterol crystals or 7-ketocholesterol. Both non-lipid and lipid forms of stimuli induced formation and activation of Nlrp3 inflammasomes, which were prevented by Asc gene deletion. Interestingly, Asc+/+ BMMs had dramatic lipids accumulation after stimulation with ATP. Further, we demonstrated that large amount of cholesterol was accumulated in lysosomes of Asc+/+ BMMs when inflammasomes were activated by ATP. Such intracellular and lysosomal lipids deposition was not observed in Asc−/− BMMs and also prevented by caspase-1 inhibitor WEHD. In addition, in vitro and in vivo experiments revealed that migration of Asc+/+ BMMs increased due to stimulation of Nlrp3 inflammasomes, which was markedly attenuated in Asc−/− BMMs. Together, these results suggest that activation of Nlrp3 inflammasomes remarkably increases the susceptibility of macrophages to lipid deposition and their migration ability. Such novel action of inflammasomes may facilitate entry or retention of macrophages into the arterial wall, where they form foam cells and ultimately induce atherosclerosis.
Carbon monoxide inhibits apoptosis during cold storage and protects kidney grafts donated after cardiac death

Ischemia/reperfusion (I/R) injury remains as a serious deleterious factor in kidney transplantation (KTx). We hypothesized that carbon monoxide (CO), an endogenous potent cytoprotective molecule, inhibits hypothermia‐induced apoptosis of kidney grafts. Using the rat KTx model mimicking the conditions of donation after cardiac death (DCD) as well as nontransplantable human kidney grafts, this study examined effects of CO in preservation solution in improving the quality of marginal kidney grafts. After cardiac cessation, rat kidneys underwent 40 min warm ischemia (WI) and 24 h cold storage (CS) in control UW or UW containing CO (CO‐UW). At the end of CS, kidney grafts in control UW markedly increased mitochondrial porin release into the cytosol and resulted in increased cleaved caspase‐3 and PARP expression. In contrast, grafts in CO‐UW had significantly reduced mitochondrial breakdown and caspase pathway activation. After KTx, recipient survival significantly improved with CO‐UW with less TUNEL+ cells and reduced mRNA upregulation for proinflammatory mediators (IL‐6, TNF‐α, iNOS). Furthermore, when nontransplantable human kidney grafts were stored in CO‐UW for 24 h, graft PARP expression, TUNEL+ cells, and proinflammatory mediators were less than those in control UW. CO in UW inhibited hypothermia‐induced apoptosis and significantly improved kidney graft function and outcomes of KTx.
Design and Characterization of Auxotrophy-Based Amino Acid Biosensors

Efficient and inexpensive methods are required for the high-throughput quantification of amino acids in physiological fluids or microbial cell cultures. Here we develop an array of Escherichia coli biosensors to sensitively quantify eleven different amino acids. By using online databases, genes involved in amino acid biosynthesis were identified that – upon deletion – should render the corresponding mutant auxotrophic for one particular amino acid. This rational design strategy suggested genes involved in the biosynthesis of arginine, histidine, isoleucine, leucine, lysine, methionine, phenylalanine, proline, threonine, tryptophan, and tyrosine as potential genetic targets. A detailed phenotypic characterization of the corresponding single-gene deletion mutants indeed confirmed that these strains could neither grow on a minimal medium lacking amino acids nor transform any other proteinogenic amino acid into the focal one. Site-specific integration of the egfp gene into the chromosome of each biosensor decreased the detection limit of the GFP-labeled cells by 30% relative to turbidometric measurements. Finally, using the biosensors to determine the amino acid concentration in the supernatants of two amino acid overproducing E. coli strains (i.e. ΔhisL and ΔtdcC) both turbidometrically and via GFP fluorescence emission and comparing the results to conventional HPLC measurements confirmed the utility of the developed biosensor system. Taken together, our study provides not only a genotypically and phenotypically well-characterized set of publicly available amino acid biosensors, but also demonstrates the feasibility of the rational design strategy used.
Heart failure in the diabetic population – pathophysiology, diagnosis and management

Evidence from clinical trials repeatedly confirms the association of diabetes with heart failure, independent of hypertension, atherosclerosis, coronary artery disease and valvular heart disease. However, the importance of coexistence of diabetes and heart failure is not universally recognized, despite the fact that it may significantly contribute to morbidity and mortality of the diabetic population. It seems that prevention of heart failure, early diagnosis, and appropriate management could improve the outcome. Unfortunately, the etiology of heart failure in diabetic patients is still to be elucidated. It is multifactorial in nature and several cellular, molecular and metabolic factors are implicated. Additionally, there are still no definite guidelines on either the diagnosis and treatment of heart failure in diabetic patients or on the therapy of diabetes in subjects with heart failure. This review focuses on the pathophysiology, diagnosis, and prevention of heart failure in the diabetic population as well as management of both comorbidities.
Federal Reserve Bank of New York Staff Reports Time-varying Structural Vector Autoregressions and Monetary Policy: a Corrigendum

paper presents preliminary findings and is being distributed to economists and other interested readers solely to stimulate discussion and elicit comments. The views expressed in this paper are those of the authors and are not necessarily reflective of views at the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors.
Physical Self-Concept of Spanish Schoolchildren: Differences by Gender, Sport Practice and Levels of Sport Involvement

This study examined the psychometric properties of the Spanish version of the C-PSQ, as well as the effect of gender, the practice of physical activity and sport and the extent of physical activity and sport practice outside of school hours in relation to the physical self-concept of older primary schoolchildren in Physical Education classes. The sample was comprised of 1086 participants, 570 boys and 516 girls ranging in age from 10 to 11 years. Each student completed Fox and Corbin’s (1989) Physical Self-Perception Profile (PSPP) as it had been modified for the Spanish context by Moreno and Cervello (2005). The Spanish language version of the PSPP constituted a valid measure of the physical self-concept of these youth and was comprised of four factors. The construct validity of the measure was supported by findings that revealed that individuals who engaged in sport practice outside of school hours, and who engaged in a greater frequency of sport practice outside of school hours, had more favourable self-perceptions of competence and confidence in physical activities than did those engaged in less physical activity outside of school. Results in relation to gender indicated that boys had higher levels of perceived competence and greater self-confidence that did the girls in relation to sport activities, whereas the girls had a more favourable perception of their physical appearance and physical strength than did boys. These differences may reflect underlying growth and developmental influences for boys and girls in this age range.
Changes in Pediatric HIV-Related Hospital Admissions and Mortality in Soweto, South Africa, 1996–2011: Light at the End of the Tunnel?

Background:With widespread availability of pediatric antiretroviral therapy and improved access to prevention of mother-to-child transmission (PMTCT), it is important to monitor the impact on pediatric HIV-related hospital admissions and in-hospital mortality in South Africa. Methods:Over a 15-year period, 4 independent surveillance studies were conducted in the pediatric wards at Chris Hani Baragwanath Hospital in Soweto, South Africa (1996, 2005, 2007, and late 2010 to early 2011). Trends in HIV prevalence and HIV-related mortality were evaluated. Results:HIV prevalence was similar during the first 3 periods: 26.2% (1996), 31.7% (2005), and 29.5% (2007) P > 0.10, but was lower in 2010–2011 (19.3%; P = 0.0005). Median age of the children admitted with HIV increased in the latter periods from 9.13 (interquartile range 3.6–28.8) months to 10.0 (3.0–44.5) months (P > 0.10) and 18.0 (6.2–69.8) months (P = 0.048). Median admission weight-for-age z-scores were similar (< −3 SD) for the latter 3 periods. Admission CD4 percentage increased from 0.0% (0.0–9.4) in 2005 to 15.0% (8.2–22.8) in 2007 (P < 0.0001) and was 18.7% (9.6–24.7) in 2010–2011 (P > 0.10). Mortality among all vs. HIV-infected admissions was 63 of 565 (11.2%) and 43 of 179 (24.0%) in 2005, 91 of 1510 (6.0%) and 53 of 440 (12.0%) in 2007, and 18 of 429 (4.2%) and 9 of 73 (12.3%) in 2010–2011. Conclusions:HIV prevalence and mortality among pediatric admissions is decreasing. This is likely a result of improved PMTCT and wider antiretroviral therapy coverage. Continued effort to improve PMTCT coverage and identify and treat younger and older HIV-infected children is required to further reduce HIV-related morbidity and mortality.
Ecological interactions and the Netflix problem

Species interactions are a key component of ecosystems but we generally have an incomplete picture of who-eats-who in a given community. Different techniques have been devised to predict species interactions using theoretical models or abundances. Here, we explore the K nearest neighbour approach, with a special emphasis on recommendation, along with other machine learning techniques. Recommenders are algorithms developed for companies like Netflix to predict if a customer would like a product given the preferences of similar customers. These machine learning techniques are well-suited to study binary ecological interactions since they focus on positive-only data. We also explore how the K nearest neighbour approach can be used with both positive and negative information, in which case the goal of the algorithm is to fill missing entries from a matrix (imputation). By removing a prey from a predator, we find that recommenders can guess the missing prey around 50% of the times on the first try, with up to 881 possibilities. Traits do not improve significantly the results for the K nearest neighbour, although a simple test with a supervised learning approach (random forests) show we can predict interactions with high accuracy using only three traits per species. This result shows that binary interactions can be predicted without regard to the ecological community given only three variables: body mass and two variables for the species’ phylogeny. These techniques are complementary, as recommenders can predict interactions in the absence of traits, using only information about other species’ interactions, while supervised learning algorithms such as random forests base their predictions on traits only but do not exploit other species’ interactions. Further work should focus on developing custom similarity measures specialized to ecology to improve the KNN algorithms and using richer data to capture indirect relationships between species.