Miracle-dz/UniFAR-FTUs huggingface dataset:
Twenty years of DNA computing: From complex combinatorial problems to the Boolean circuits

This paper describes the development of molecular computing in an historical setting. Based on the idea that basic biochemical property of deoxyribonucleic acid (DNA) molecule can be employed to solve Nondeterministic Polynomial Time (NP) problem, several remarkable models and algorithms are proposed for solving complex combinatorial problems. The development is not limited to that; it extends up to the implementation of molecular Boolean Circuits for realization of biological computer. It is concluded that in the past 20 years the DNA research and development made progress on regular base, but the practical line is still lacking behind. The research work in this field is expected to be good in next few decades.
A nodal capacity market for co-optimization of generation and transmission expansion

The paper provides a formulation of the generation and transmission expansion problem which incorporates resource adequacy assessment into the stochastic optimization framework. The system expansion problem is considered as an auction resolved through a stochastic mixed integer linear problem in which generation and transmission expansion offers are explicitly identified on the electrical grid modeled using linearized DC SCOPF. In this formulation, locational resource adequacy indicators are derived as dual variables: shadow prices for reliability limiting transmission facilities and Locational Reliability Prices. The paper demonstrates that the auction can identify an optimal mix of generation and transmission expansion offers which guarantees resource adequacy of the system at least costs. Moreover, the problem of transmission cost allocation is resolved through the market pricing mechanism. The paper extends the results of [1] by incorporating transmission expansion options. A novel technique of modeling flexible transmission topology using flow-cancelling transactions [2] is applied.
Towards a Theory of Competitive Progression: Evidence from High‐Tech Manufacturing

This study replicates and extends Ferdows and De Meyers' observed ‘sand cone’ model of cumulative competitive capabilities by means of Roth's related competitive progression theory (CPT). Using path analysis, we model and test the relationships among the generic competitive capability constructs of conformance quality, delivery reliability, volume flexibility, and low cost as predicted by CPT. Our results, drawn from a sample of high‐tech manufacturers, provide further evidence that on average, these four capabilities are acquired both cumulatively and in that sequence. We also find that each generic capability increases operational know‐how and reduces non‐value‐added directly and/or indirectly through the enhancement of successive capabilities in the progression, which in turn improves profitability. The paper contributes a theoretical rationale for the observed sand cone effect, describes how the competitive progression acts to influence accelerated organizational learning over an innovation cycle, and offers evidence that combinative capabilities have strategic value for high‐tech manufacturers.
On the Performance of Manhattan Nonnegative Matrix Factorization

Extracting low-rank and sparse structures from matrices has been extensively studied in machine learning, compressed sensing, and conventional signal processing, and has been widely applied to recommendation systems, image reconstruction, visual analytics, and brain signal processing. Manhattan nonnegative matrix factorization (MahNMF) is an extension of the conventional NMF, which models the heavy-tailed Laplacian noise by minimizing the Manhattan distance between a nonnegative matrix X and the product of two nonnegative low-rank factor matrices. Fast algorithms have been developed to restore the low-rank and sparse structures of X in the MahNMF. In this paper, we study the statistical performance of the MahNMF in the frame of the statistical learning theory. We decompose the expected reconstruction error of the MahNMF into the estimation error and the approximation error. The estimation error is bounded by the generalization error bounds of the MahNMF, while the approximation error is analyzed using the asymptotic results of the minimum distortion of vector quantization. The generalization error bound is valuable for determining the size of the training sample needed to guarantee a desirable upper bound for the defect between the expected and empirical reconstruction errors. Statistical performance analysis shows how the reduced dimensionality affects the estimation and approximation errors. Our framework can also be used for analyzing the performance of the NMF.
Analysis of Gender Wage Differential in China's Urban Labor Market

This paper estimates the gender wage gap and its composition in China's urban labor market using the 2009 survey data from the Chinese Family Panel Studies. Several estimation and decomposition methods have been used and compared. First, we examine the gender wage gap using ordinary least square regression method with a gender dummy variable. Then, we apply Oaxaca (1973) decomposition method with different weighting systems to analyze the logarithmic wage differential. To be more specific, we prove the existence of sample selection bias caused by the female's labor force participation. We eliminate it by using the Heckman's two-step procedure. Empirical results reveal that male workers generally receive a higher wage than female workers, and a great deal of this difference is unexplained. Meanwhile, this unexplained part, which is usually referred to as discrimination turns out to be higher when the adjustment is made for the selection bias. A further breakdown of the wage gap shows that among all the individual characteristics, occupations explain the largest share of the wage gap, followed by their working experience. On the other hand, education acts as a contributor for discrimination in the labor market.
Creating the Capacity to Benefit from Technological Change in Developing Countries

What really makes an economy competitive? This paper reviews and discusses how the capacity to generate, exploit and diffuse new knowledge is key in enabling countries to capitalise on challenges brought about by rapid technology-driven transformations rather than succumb to their adverse effects. In particular, we look at the importance of new knowledge emanating from both domestic and foreign sources in the innovation process in view of the contention that "international technology transfer" is critical for growth in developing countries. We find that there is a tight link between high rates of technology acquisition and high investment ratios, and that the absorptive capacity is a sine qua non of foreign technology benefits.
Interactive Image Segmentation Using Dirichlet Process Multiple-View Learning

Segmenting semantically meaningful whole objects from images is a challenging problem, and it becomes especially so without higher level common sense reasoning. In this paper, we present an interactive segmentation framework that integrates image appearance and boundary constraints in a principled way to address this problem. In particular, we assume that small sets of pixels, which are referred to as seed pixels, are labeled as the object and background. The seed pixels are used to estimate the labels of the unlabeled pixels using Dirichlet process multiple-view learning, which leverages 1) multiple-view learning that integrates appearance and boundary constraints and 2) Dirichlet process mixture-based nonlinear classification that simultaneously models image features and discriminates between the object and background classes. With the proposed learning and inference algorithms, our segmentation framework is experimentally shown to produce both quantitatively and qualitatively promising results on a standard dataset of images. In particular, our proposed framework is able to segment whole objects from images given insufficient seeds.
Gene Set−Based Integrative Analysis Revealing Two Distinct Functional Regulation Patterns in Four Common Subtypes of Epithelial Ovarian Cancer

Clear cell (CCC), endometrioid (EC), mucinous (MC) and high-grade serous carcinoma (SC) are the four most common subtypes of epithelial ovarian carcinoma (EOC). The widely accepted dualistic model of ovarian carcinogenesis divided EOCs into type I and II categories based on the molecular features. However, this hypothesis has not been experimentally demonstrated. We carried out a gene set-based analysis by integrating the microarray gene expression profiles downloaded from the publicly available databases. These quantified biological functions of EOCs were defined by 1454 Gene Ontology (GO) term and 674 Reactome pathway gene sets. The pathogenesis of the four EOC subtypes was investigated by hierarchical clustering and exploratory factor analysis. The patterns of functional regulation among the four subtypes containing 1316 cases could be accurately classified by machine learning. The results revealed that the ERBB and PI3K-related pathways played important roles in the carcinogenesis of CCC, EC and MC; while deregulation of cell cycle was more predominant in SC. The study revealed that two different functional regulation patterns exist among the four EOC subtypes, which were compatible with the type I and II classifications proposed by the dualistic model of ovarian carcinogenesis.
Common Polymorphisms in the Solute Carrier SLC30A10 are Associated With Blood Manganese and Neurological Function

Manganese (Mn) is an essential nutrient in humans, but excessive exposure to Mn may cause neurotoxicity. Despite homeostatic regulation, Mn concentrations in blood vary considerably among individuals. We evaluated if common single-nucleotide polymorphisms (SNPs) in SLC30A10, which likely encodes an Mn transporter, influence blood Mn concentrations and neurological function. We measured blood Mn concentrations by ICP-MS or atomic absorption spectroscopy and genotyped 2 SLC30A10 non-coding SNPs (rs2275707 and rs12064812) by TaqMan PCR in cohorts from Bangladesh (N = 406), the Argentinean Andes (N = 198), and Italy (N = 238). We also measured SLC30A10 expression in whole blood by TaqMan PCR in a sub-group (N = 101) from the Andean cohort, and neurological parameters (sway velocity and finger-tapping speed) in the Italian cohort. The rs2275707 variant allele was associated with increased Mn concentrations in the Andes (8%, P = .027) and Italy (10.6%, P = .012), but not as clear in Bangladesh (3.4%, P = .21; linear regression analysis adjusted for age, gender, and plasma ferritin). This allele was also associated with increased sway velocity (15%, P = .033; adjusted for age and sex) and reduced SLC30A10 expression (−24.6%, P = .029). In contrast, the rs12064812 variant homozygous genotype was associated with reduced Mn concentrations, particularly in the Italian cohort (−18.4%, P = .04), and increased finger-tapping speed (8.7%, P = .025). We show that common SNPs in SLC30A10 are associated with blood Mn concentrations in 3 unrelated cohorts and that their influence may be mediated by altered SLC30A10 expression. Moreover, the SNPs appeared to influence neurological functions independent of blood Mn concentrations, suggesting that SLC30A10 could regulate brain Mn levels.
The First Law of Petropolitics

We examine empirically the relationship between crude oil prices and the ebb and flow of democratic institutions, in order to test the hypothesis that high oil prices undermine democracy and sustain autocracy. We use a variety of time series and panel data methods over a wide range of country subsamples and time periods, finding strictly no evidence in favour of this so‐called ‘First Law of Petropolitics’ (Friedman 2006).
Intravital microscopy: new insights into metastasis of tumors

Metastasis, the process by which cells spread from the primary tumor to a distant site to form secondary tumors, is still not fully understood. Although histological techniques have provided important information, they give only a static image and thus compromise interpretation of this dynamic process. New advances in intravital microscopy (IVM), such as two-photon microscopy, imaging chambers, and multicolor and fluorescent resonance energy transfer imaging, have recently been used to visualize the behavior of single metastasizing cells at subcellular resolution over several days, yielding new and unexpected insights into this process. For example, IVM studies showed that tumor cells can switch between multiple invasion strategies in response to various densities of extracellular matrix. Moreover, other IVM studies showed that tumor cell migration and blood entry take place not only at the invasive front, but also within the tumor mass at tumor-associated vessels that lack an intact basement membrane. In this Commentary, we will give an overview of the recent advances in high-resolution IVM techniques and discuss some of the latest insights in the metastasis field obtained with IVM.
Ethnicity and Smoking-Associated DNA Methylation Changes at HIV Co-Receptor GPR15

Smoking is associated with poorer health outcomes for both African and European Americans. In order to better understand whether ethnic-specific genetic variation may underlie some of these differences, we compared the smoking-associated genome-wide methylation signatures of African Americans with those of European Americans, and followed up this analysis with a focused examination of the most ethnically divergent locus, cg19859270, at the GPR15 gene. We examined the association of methylation at this locus to the rs2230344 SNP and GPR15 gene and protein expression. Consistent with prior analyses, AHRR residue cg05575921 was the most differentially methylated residue in both African Americans and European Americans. However, the second most differentially methylated locus in African Americans, cg19859270, was only modestly differentially methylated in European Americans. Interrogation of the methylation status of this CpG residue found in GPR15, a chemokine receptor involved in HIV pathogenesis, showed a significant interaction of ethnicity with smoking as well as a marginal effect of genotype at rs2230344, a neighboring non-synonymous SNP, but only among African Americans. Gene and protein expression analyses showed that demethylation at cg19859270 was associated with an increase in both mRNA and protein levels. Since GPR15 is involved in the early stages of viral replication for some HIV-1 and HIV-2 isolates, and the prevalence of HIV is increased in African Americans and smokers, these data support a possible role for GPR15 in the ethnically dependent differential prevalence of HIV.
Community and International Nutrition Factors Associated with Perceived Insufficient Milk in a Low-Income urban Population in Mexico 1 ' 2

Survival analysis and logistic regression were used to identify factors associated with the onset of perceived insufficient milk among 165 healthy mothers who planned to breast-feed and gave birth by vaginal delivery, without complications, to a healthy term infant in either a nursery (n = 58) or a rooming-in hospital where formula supplementation was not allowed (n 107). Women were interviewed in the hospital and at 1 wk, 2 mo and 4 mo postpartum. Women from both hospitals were similar in socioeconomic, demographic, anthropomÃ©trie, previous infant feeding experience and prenatal care variables. Eighty percent of the women reported perceived insufficient milk at some point during the study. The cue interpreted most often as indicating insufficient milk was the crying of the infant. Multivariate analyses indicated that lack of confidence in breast feeding, delayed onset of milk production, maternal edu cation, multiparity, sore nipples, early introduction of formula to the previous child and mother breast-fed as a child were significantly associated (P < 0.05) with per ceived insufficient milk. Among women who reported perceived insufficient milk before 1 wk, breast-feeding confidence and maternal education interacted with the hospital in which they delivered. J. Nutr. 124: 202-212, 1994.
Yoga Based Isometric Relaxation Versus Supine Rest: A Study of Oxygen Consumption, Breath Rate and Volume and Autonomic Measures

Forty male volunteers with ages ranging from 16 to 46 yrs ware studied in two sessions, yoga based isometric relaxation technique (IRT) and supine rest (SR). Assessments of autonomic parameters were made in 15 subjects, before and after the practices, whereas oxygen consumption, breath rate and breath volume were recorded in 25 subjects, before and after IRT and SR. A significant decrease in breath rate after IRT and in linger Plethysmogram was recorded after SR. The results suggest possibilities for IRT in reducing some physiological signs of anxiety.
The Microbial Community in the Feces of the White Rhinoceros (Ceratotherium simum) as Determined by Barcoded Pyrosequencing Analysis

As a non-ruminant herbivore, the white rhinoceros has the ability to utilize fibrous plant matter through microbial fermentation in the hindgut. So far, there has been no report using molecular techniques to study the gut microbiota of the white rhinoceros. We used barcoded pyrosequencing to characterize 105,651 sequences of 16S rRNA genes obtained from fecal samples from five white rhinoceroses. Results showed that Firmicutes and Bacteroidetes were the predominant phyla in the samples, which were comprised largely of unclassified bacteria. The microbiota of one animal treated with drug therapy differed from those in other healthy animals, and was dominated by Aerococcus -related bacteria. The core microbiota in the healthy rhinoceros were dominated by phyla Firmicutes and Bacteroidetes, represented by the Ruminococcaceae, Lachnospiraceae, Rikenellaceae and Prevotellaceae families. The present work provides a phylogenetic framework for understanding the complex microbial community of the rhinoceros; however, further studies are required to link the distinctive microbiota with their digestive role in the hindgut of the white rhinoceros.
Understanding defensive and secure in-group positivity: The role of collective narcissism

ABSTRACT Integrating psychoanalytic ideas of group idealisation with social identity and categorisation theories, this article discusses the distinction between secure and defensive in-group positivity. Narcissistic in-group positivity captures a belief in in-group greatness that is contingent on external validation. It reflects defensive in-group positivity, insofar as it stems from the frustration of individual needs, and predicts increased sensitivity to threats as well as undesirable consequences for out-groups and the in-group. Secure in-group positivity—that is, in-group positivity without the narcissistic component—is a confidently held positive evaluation of one’s in-group that is independent of the recognition of the group in the eyes of others. It stems from the satisfaction of individual needs, is resilient to threats and has positive consequences for the in-group and out-groups. I review evidence for these two distinct ways people relate to their social groups and discuss theoretical and practical implications for understanding intra- and intergroup relations.
Association of LOXL1 common sequence variants in German and Italian patients with pseudoexfoliation syndrome and pseudoexfoliation glaucoma.

PURPOSE Three common sequence variants in the lysyl oxidase-like 1 (LOXL1) gene were recently associated with both pseudoexfoliation (PEX) and pseudoexfoliation glaucoma (PEXG) in populations from Iceland and Sweden. In this study, the genetic association of these variants was investigated in patients with PEX or PEXG of German and Italian descent. METHODS The three LOXL1 single-nucleotide polymorphisms (SNPs), one intronic (rs2165241) and two nonsynonymous coding SNPs (rs1048661: R141L and rs3825942: G153D) were genotyped in a total of 726 unrelated patients with PEX or PEXG (517 Germans and 209 Italians) and 418 healthy subjects who had normal findings in repeated ophthalmic examinations, and a genetic association study was performed. RESULTS Strong association with the three LOXL1 common sequence variants was seen in both the PEX and PEXG patient groups independent of their geographic origin (rs2165241, combined OR = 3.42, P = 1.28 x 10(-40); rs1048661, OR = 2.43, P = 2.90 x 10(-19); and rs3825942, OR = 4.87, P = 8.22 x 10(-23)). Similarly, the common frequent haplotype (G-G) composed of the two coding SNPs (rs1048661 and rs3825942) was strongly associated in PEX and PEXG cohorts of both populations with the disease (combined OR = 3.58, P = 5.21x 10(-43)). CONCLUSIONS Genetic variants in LOXL1 confer risk to PEX in German and Italian populations, independent of the presence of secondary glaucoma, confirming findings in patients from Northern Europe.
Decadal trends in global pelagic ocean chlorophyll: A new assessment integrating multiple satellites, in situ data, and models

Quantifying change in ocean biology using satellites is a major scientific objective. We document trends globally for the period 1998–2012 by integrating three diverse methodologies: ocean color data from multiple satellites, bias correction methods based on in situ data, and data assimilation to provide a consistent and complete global representation free of sampling biases. The results indicated no significant trend in global pelagic ocean chlorophyll over the 15 year data record. These results were consistent with previous findings that were based on the first 6 years and first 10 years of the SeaWiFS mission. However, all of the Northern Hemisphere basins (north of 10° latitude), as well as the Equatorial Indian basin, exhibited significant declines in chlorophyll. Trend maps showed the local trends and their change in percent per year. These trend maps were compared with several other previous efforts using only a single sensor (SeaWiFS) and more limited time series, showing remarkable consistency. These results suggested the present effort provides a path forward to quantifying global ocean trends using multiple satellite missions, which is essential if we are to understand the state, variability, and possible changes in the global oceans over longer time scales.
E-government: an e-reverse auction case study

This paper presents the findings from an exploratory in-depth case study with regard to e-Reverse Auctions (eRAs) in the UK public sector. An eRA is an internet-based, online and dynamic auction, in which suppliers bid against each other to provide products or services at the lowest price to the procurer. This is an important and current issue due to the call from central government to both improve and maximise efficiency from the procurement process. Indeed, for the first time, central government has set targets in relation to procurement savings. These findings highlight that eRAs can improve procurement processes, realise cost savings and reduce delivery times. The research also notes that eRAs can produce disbenefits, including poor buyer and supplier relationships and social implications. The paper elicits lessons learnt from the case study analysis. These are presented with the aim to inform theory and practice.
NCV realization of MCT gates with mixed controls

Multiple-control Toffoli (MCT) gates are widely used in the synthesis of reversible circuits. These gates are not usually directly implemented and need to be mapped to circuits of more elementary components such as quantum gates. In this work, the realization of MCT gates with mixed controls is explored for the NCV quantum library containing NOT, CNOT, V and V+ gates. The results show that the proposed approach significantly improves the best known NCV costs for MCT gates.1