Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal path planning for UAV based inspection system of large-scale photovoltaic farm

Small scale quad-rotor unmanned aerial vehicle (UAV) has attracted much attention in recent years and has been widely adopted in many civil applications, e.g. inspection of critical infrastructure spanning over a large geographical area. In a typical UAV based inspection system for large-scale photovoltaic farm, it is required to control the mounted gimbal camera taking pictures of all the PV modules and eventually accurately identify the ones with defects through efficient image processing techniques. Given a series of waypoints without an effective path generation algorithm, the image acquisition can be not satisfactory and even miss some areas that should be inspected. In this paper, a Bezier curve and particle swarm optimization (PSO) joint approach is presented to address the UAV path planning challenge. The path generation process fully takes flight attitude, gimbal limitation and path length into consideration with the aim to improve the efficiency and the reliability of the inspection system. The performance of the proposed solution is assessed through a set of simulation experiments and the numerical result demonstrates the effectiveness of the proposed optimal path planning solution.
Improved machine learning algorithm and its application in CPR prediction

Crack propagation rate (CPR) is important parameter in material speciality, establishing fatigue crack propagation rate is the key to forecasting structure fatigue lifetime, many approximate fitting models are used to calculate CPR, nine parameters fatigue crack propagation rate model and McEvily model are typical representatives, they are widely applied at present, but it is very complex to realize these models, partial derivative must be calculated and there is large deviation between fitted static parameter and actual value and physical conception isn't clear. In this paper, in accordance with the disadvantage above methods, we presented optimal common machine learning algorithm (least squares support vector machine) method for fatigue crack propagation rate forecast, Complicated and strong nonlinear fatigue crack propagation rate curve was simulated by network design and conformation of least squares support vector machine learning algorithm and the optimized SVM parameters were selected. Two prediction examples of material A and material B are simulated to validate its efficiency, the experiment shows improved SVM had excellent ability of nonlinear modeling and generalization, the mean relative error is 0.1074% by calculating, it provided an economical, practical and reliable approach for material fatigue design.
Mitochondrial transcription factor A overexpression and base excision repair deficiency in the inner ear of rats with d‐galactose‐induced aging

Oxidative damage to mtDNA is associated with excessive reactive oxygen species production. The mitochondrial common deletion (mtDNA 4977‐bp and 4834‐bp deletion in humans and rats, respectively) is the most typical and frequent form of mtDNA damage associated with aging and degenerative diseases. The accumulation of the mitochondrial common deletion has been proposed to play a crucial role in age‐related hearing loss (presbycusis). However, the mechanisms underlying the formation and accumulation of mtDNA deletions are still obscure. In the present study, a rat mimetic aging model induced by d‐Gal was used to explore the origin of deletion mutations and how mtDNA repair systems modulate this process in the inner ear during aging. We found that the mitochondrial common deletion was greatly increased and mitochondrial base excision repair capacity was significantly reduced in the inner ear in d‐Gal‐treated rats as compared with controls. The overexpression of mitochondrial transcription factor A induced by d‐Gal significantly stimulated mtDNA replication, resulting in an increase in mtDNA copy number. In addition, an age‐related loss of auditory sensory cells in the inner ear was observed in d‐Gal‐treated rats. Taken together, our data suggest that mitochondrial base excision repair capacity deficiency and an increase in mtDNA replication resulting from mitochondrial transcription factor A overexpression may contribute to the accumulation of mtDNA deletions in the inner ear during aging. This study also provides new insights into the development of presbycusis.
Targeting Methanopterin Biosynthesis To Inhibit Methanogenesis

ABSTRACT This paper describes the design, synthesis, and successful employment of inhibitors of 4-(β-d-ribofuranosyl)aminobenzene-5′-phosphate (RFA-P) synthase, which catalyzes the first committed step in the biosynthesis of methanopterin, to specifically halt the growth of methane-producing microbes. RFA-P synthase catalyzes the first step in the synthesis of tetrahydromethanopterin, a key cofactor required for methane formation and for one-carbon transformations in methanogens. A number of inhibitors, which are N-substituted derivatives of p-aminobenzoic acid (pABA), have been synthesized and their inhibition constants with RFA-P synthase have been determined. Based on comparisons of the inhibition constants among various inhibitors, we propose that the pABA binding site in RFA-P synthase has a relatively large hydrophobic pocket near the amino group. These enzyme-targeted inhibitors arrest the methanogenesis and growth of pure cultures of methanogens. Supplying pABA to the culture relieves the inhibition, indicating a competitive interaction between pABA and the inhibitor at the cellular target, which is most likely RFAP synthase. The inhibitors do not adversely affect the growth of pure cultures of the bacteria (acetogens) that play a beneficial role in the rumen. Inhibitors added to dense ruminal fluid cultures (artificial rumena) halt methanogenesis; however, they do not inhibit volatile fatty acid (VFA) production and, in some cases, VFA levels are slightly elevated in the methanogenesis-inhibited cultures. We suggest that inhibiting methanopterin biosynthesis could be considered in strategies to decrease anthropogenic methane emissions, which could have an environmental benefit since methane is a potent greenhouse gas.
On the Logical Adequacy of Cultural Deviance Theories

This paper examines the logical adequacy of cultural deviance theories, specifically Sutherland's differential association theory and Akers's social learning theory. There are four crucial questions that cultural deviance theorists have not addressed adequately: (1) What is the content of deviant norms? (2) What is the origin of deviant norms and subcultures? (3) How can we identify deviant subcultures and normative conflict apart from individuals' behavior? and (4) How easily do individuals learn deviant norms? Attempts to answer these questions have resulted in departures from the original theoretical statements. This in turn results in either logical contradictions in the theories or their transformation into control theories.
Achievable rate region for the Gaussian MIMO MAC with cooperating encoders

This paper considers a Gaussian two‐user multiple‐input multiple‐output (MIMO) multiple access channel (MAC) with cooperating encoders. After defining a form of cooperation strategy, we derive achievable rate bounds by applying the results obtained by Willems for the MAC with generalised feedback. Then, we characterise an achievable rate region and also provide a lower bound for this region, which are very close. Although the achievable rate bounds are described by non‐concave functions, the boundary of the achievable rate region could be generated by maximising a weighted sum of the rates. Numerical results obtained generally exceed the capacity region of a MIMO MAC without cooperation. Copyright © 2012 John Wiley & Sons, Ltd.
Using Moldability to Improve the Performance of Supercomputer Jobs

Distributed-memory parallel supercomputers are an important platform for the execution of high-performance parallel jobs. In order to submit a job for execution in most supercomputers, one has to specify the number of processors to be allocated to the job. However, most parallel jobs in production today are moldable. A job is moldable when the number of processors it needs to execute can vary, although such a number has to be fixed before the job starts executing. Consequently, users have to decide how many processors to request whenever they submit a moldable job. In this dissertation, we show that the request that submits a moldable job can be automatically selected in a way that often reduces the job's turn-around time. The turn-around time of a job is the time elapsed between the job's submission and its completion. More precisely, we will introduce and evaluate SA, an application scheduler that chooses which request to use to submit a moldable job on behalf of the user. The user provides SA with a set of possible requests that can be used to submit a given moldable job. SA estimates the turn-around time of each request based on the current state of the supercomputer, and then forwards to the supercomputer the request with the smallest expected turn-around time. Users are thus relieved by SA of a task unrelated with their final goals, namely that of selecting which request to use. Moreover and more importantly, SA often improves the turn-around time of the job under a variety of conditions. The conditions under which SA was studied cover variations on the characteristics of the job, the state of the supercomputer, and the information available to SA. The emergent behavior generated by having most jobs using SA to craft their requests was also investigated.
A 4th order subsampled RF ∑Δ ADC centered at 2.4GHz with a sine-shaped feedback DAC

A 4th order subsampled RF LC ∑Δ ADC suitable for Software Defined Radio applications is presented. The ADC is clocked at 3.2GHz and centered at 2.4GHz. The simplicity of the ADC architecture combined with the subsampling technique result in a significant performance enhancement and power consumption reduction. A sine-shaped feedback DAC is used, not only for its reduced sensitivity to clock jitter but also for its more convenient frequency response to subsampled ∑Δ ADCs. An efficient algorithm for the tuning and calibration of the LC-based loop filter is presented. The ADC is implemented in a standard 130nm CMOS technology. It achieves a 51dB SFDR and a 40dB SNDR in a 25MHz BW and consumes only 19mW from a 1.2V supply.
Brachymesomelic dysplasia with Peters anomaly of the eye results from disruptions of the X chromosome near the SHOX and SOX3 genes

We report on a mother and son affected with an unusual skeletal dysplasia and anterior segment eye abnormalities. Their skeletal phenotype overlaps with the SHOX‐related skeletal dysplasias and is intermediate between Leri–Weill dyschondrosteosis (LWD) and Langer Mesomelic dysplasia (LMD). The mother has bilateral Peters anomaly of the eye and was reported as having a new syndrome; the son had severe bilateral sclerocornea. Chromosome analysis showed that the mother has a pericentric inversion of the X chromosome [46,X,inv(X)(p22.3q27)] and the son, a resultant recombinant X chromosome [46,Y,rec(X)dup(Xq)inv(X)(p22.3q27)]. The observed skeletal and ophthalmologic abnormalities in both patients were similar in severity. The additional features of developmental delay, growth retardation, agenesis of the corpus callosum, cryptorchidism and hypoplastic scrotum in the son are consistent with Xq28 duplication. Analysis of the son's recombinant X chromosome showed that the Xp22.33 breakpoint lies 30–68 kb 5′ of the SHOX gene. This finding suggests that the skeletal dysplasia in both mother and son is allelic with LWD and LMD and results from a novel misexpression of SHOX. Analysis of the Xq27.1 breakpoint localized it to a 90 kb interval 3′ of the SOX3 gene, supporting a novel role of SOX3 misexpression in the development of Peters anomaly of the eye. © 2007 Wiley‐Liss, Inc.
N-terminal pro B-type natriuretic peptide and left ventricular diameter independently predict mortality in dogs with mitral valve disease.

OBJECTIVES To determine whether natriuretic peptide concentrations would predict all cause mortality in dogs with degenerative mitral valve disease. METHODS One hundred dogs with naturally occurring degenerative mitral valve disease were prospectively recruited for this longitudinal study. Analysis of outcome was undertaken for 73 dogs for which the outcome was known. Dogs underwent physical examination, electrocardiography and echocardiography. Natriuretic peptide concentrations were measured by Enzyme-linked immunosorbent assay. The ability of natriuretic peptide concentrations, clinical, electrocardiographic and echocardiographic data, to predict all cause mortality was determined using univariable and multivariable Cox proportional hazards analyses. RESULTS Thirty dogs died during the period of follow-up. Two variables were independently predictive of all cause mortality; these were the normalised left ventricular end-diastolic diameter and the N-terminal pro B-type natriuretic peptide concentration. An increase of the left ventricular end-diastolic diameter by 0.1 increased the hazard of all cause mortality by 20% (95% confidence interval: 4 to 37%, P=0.01) and a 100 pmol/l increase in N-terminal pro B-type natriuretic peptide increased the hazard by 7% (95 confidence interval: 2 to 11%, P=0.003). CLINICAL SIGNIFICANCE N-terminal pro B-type natriuretic peptide concentration and left ventricular end-diastolic diameter are significantly and independently predictive of all cause mortality in dogs with degenerative mitral valve disease.
Troubling the exclusive privileges of citizenship: mobile solidarities, asylum seekers, and the right to work

Abstract This article discusses asylum seekers and the right to work in the UK. Differential access to the labour market is one of the ways in which the state maintains a distinction between British citizens, who ‘belong’, and non-citizens who do not. While such a policy approach garners widespread support amongst the general public of citizens, it does not go uncontested. This article discusses a UK-based campaign, ‘Let Them Work’, which has sought to influence the government in extending the right to work to asylum seekers. In doing so, it demonstrates the ways in which the stratified regime of citizenship rights is contested politically, and explores how such contestation troubles the exclusive privileges of citizenship by enacting mobile solidarities from marginalised spaces.
Measuring children’s values from around the world: Cross-cultural adaptations of the Picture-Based Value Survey for Children (PBVS-C)

The Picture-Based Value Survey for Children (PBVS-C; Doring et al., 2010) assesses children’s values through self-report and thereby depicts Schwartz’s theory of universal human values at an early age (approximately six to eleven years). Recently, the original German version has been adapted for application in Poland, Bulgaria, the Ukraine, France, Italy, Switzerland, the UK, New Zealand, Australia, the USA, Brazil, Turkey, Israel, and Estonia, and it is currently adapted for application in Ireland, Russia, and Portugal. In this manuscript, we accompany the PBVS-C on its journey around the world and systematically explore culture-specifics in the adaptation process with a particular focus on the meaning of the value pictures, as the PBVS-C’s core elements. Integrating findings from these adaptations of the PBVS-C, we aim to share best practice and draw a roadmap for future adaptations in other cultures. This article further serves as a resource to locate existing studies with the PBVS-C.
Towards interoperable discourse annotation. Discourse features in the Ontologies of Linguistic Annotation

This paper describes the extension of the Ontologies of Linguistic Annotation (OLiA) with respect to discourse features. The OLiA ontologies provide a a terminology repository that can be employed to facilitate the conceptual (semantic) interoperability of annotations of discourse phenomena as found in the most important corpora available to the community, including OntoNotes, the RST Discourse Treebank and the Penn Discourse Treebank. Along with selected schemes for information structure and coreference, discourse relations are discussed with special emphasis on the Penn Discourse Treebank and the RST Discourse Treebank. For an example contained in the intersection of both corpora, I show how ontologies can be employed to generalize over divergent annotation schemes.
Genomic correlates of glatiramer acetate adverse cardiovascular effects lead to a novel locus mediating coronary risk

Glatiramer acetate is used therapeutically in multiple sclerosis but also known for adverse effects including elevated coronary artery disease (CAD) risk. The mechanisms underlying the cardiovascular side effects of the medication are unclear. Here, we made use of the chromosomal variation in the genes that are known to be affected by glatiramer treatment. Focusing on genes and gene products reported by drug-gene interaction database to interact with glatiramer acetate we explored a large meta-analysis on CAD genome-wide association studies aiming firstly, to investigate whether variants in these genes also affect cardiovascular risk and secondly, to identify new CAD risk genes. We traced association signals in a 200-kb region around genomic positions of genes interacting with glatiramer in up to 60 801 CAD cases and 123 504 controls. We validated the identified association in additional 21 934 CAD cases and 76 087 controls. We identified three new CAD risk alleles within the TGFB1 region on chromosome 19 that independently affect CAD risk. The lead SNP rs12459996 was genome-wide significantly associated with CAD in the extended meta-analysis (odds ratio 1.09, p = 1.58×10−12). The other two SNPs at the locus were not in linkage disequilibrium with the lead SNP and by a conditional analysis showed p-values of 4.05 × 10−10 and 2.21 × 10−6. Thus, studying genes reported to interact with glatiramer acetate we identified genetic variants that concordantly with the drug increase the risk of CAD. Of these, TGFB1 displayed signal for association. Indeed, the gene has been associated with CAD previously in both in vivo and in vitro studies. Here we establish genome-wide significant association with CAD in large human samples.
Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression

Accurate pose estimation of object instances is a key aspect in many applications, including augmented reality or robotics. For example, a task of a domestic robot could be to fetch an item from an open drawer. The poses of both, the drawer and the item have to be known by the robot in order to fulfil the task. 6D pose estimation of rigid objects has been addressed with great success in recent years. In large part, this has been due to the advent of consumer-level RGB-D cameras, which provide rich, robust input data. However, the practical use of state-of-the-art pose estimation approaches is limited by the assumption that objects are rigid. In cluttered, domestic environments this assumption does often not hold. Examples are doors, many types of furniture, certain electronic devices and toys. A robot might encounter these items in any state of articulation. This work considers the task of one-shot pose estimation of articulated object instances from an RGB-D image. In particular, we address objects with the topology of a kinematic chain of any length, i.e. objects are composed of a chain of parts interconnected by joints. We restrict joints to either revolute joints with 1 DOF (degrees of freedom) rotational movement or prismatic joints with 1 DOF translational movement. This topology covers a wide range of common objects (see our dataset for examples). However, our approach can easily be expanded to any topology, and to joints with higher degrees of freedom.
Relationship between Quantitative GRB7 RNA Expression and Recurrence after Adjuvant Anthracycline Chemotherapy in Triple-Negative Breast Cancer

Purpose: To conduct an exploratory analysis of the relationship between gene expression and recurrence in patients with operable triple-negative breast cancer (TNBC) treated with adjuvant doxorubicin-containing chemotherapy. Experimental Design: RNA was extracted from archived tumor samples derived from 246 patients with stage I-III TNBC treated with adjuvant doxorubicin-containing chemotherapy, and was analyzed by quantitative reverse transcriptase PCR for a panel of 374 genes. The relationship between gene expression and recurrence was evaluated using weighted Cox proportional hazards model score tests. Results: Growth factor receptor bound protein 7 (GRB7) was the only gene for which higher expression was significantly associated with increased recurrence in TNBC (Korn's adjusted P value = 0.04). In a Cox proportional hazards model adjusted for clinicopathologic features, higher GRB7 expression was associated with an increased recurrence risk (HR = 2.31; P = 0.04 using the median as the split). The 5-year recurrence rates were 10.5% [95% confidence intervals (CI), 7.8–14.1] in the low and 20.4% (95% CI, 16.5–25.0) in the high GRB7 groups. External validation in other datasets indicated that GRB7 expression was not prognostic in two adjuvant trials including variable systemic therapy, but in two other trials showed that high GBR7 expression was associated with resistance to neoadjuvant doxorubicin and taxane therapy. Conclusions: GRB7 was associated with an increased risk of recurrence in TNBC, suggesting that GRB7 or GRB7-dependent pathways may serve as potential biomarkers for therapeutic targets. Therapeutic targeting of one or more factors identified which function as interaction nodes or effectors should also be considered. Clin Cancer Res; 17(22); 7194–203. ©2011 AACR.
A study of MAP estimation techniques for nonlinear filtering

For solving the nonlinear filtering problem, much attention has been paid to filters based on the Linear Minimum Mean Square Error (LMMSE) estimation. Accordingly, less attention has been paid to MAP estimation techniques in this field. We argue that, given the superior performance of the latter in certain situations, they deserve to be more carefully investigated. In this paper, we look at MAP estimation from optimization perspective. We present a new method that uses this technique for solving the nonlinear filtering problem and we take a look at two existing methods. Furthermore, we derive a new method to reduce the dimensionality of the optimization problem which helps decreasing the computational complexity of the algorithms. The performance of MAP estimation techniques is analyzed and compared to LMMSE filters. The results show that in the case of informative measurements, MAP estimation techniques have much better performance.