Miracle-dz/UniFAR-FTUs huggingface dataset:
Imbalance of SMC1 and SMC3 Cohesins Causes Specific and Distinct Effects

SMC1 and SMC3 form a high-affinity heterodimer, which provides an open backbone of the cohesin ring, to be closed by a kleisin protein. RNAi mediated knock-down of either one heterodimer partner, SMC1 or SMC3, is expected to cause very similar if not identical phenotypes. However, we observed highly distinct, protein-specific phenotypes. Upon knock-down of human SMC1, much of SMC3 remains stable, accumulates in the cytoplasm and does not associate with other cohesin proteins. Most of the excess nuclear SMC3 is highly mobile and not or only weakly chromosome-associated. In contrast, human SMC3 knock-down rendered SMC1 instable without cytoplasmic accumulation. As observed by differential protein extraction and in FRAP experiments the remaining SMC1 or SMC3 proteins in the respective SMC1 or SMC3 knock-down experiments constituted a cohesin pool, which is associated with chromatin with highest affinity, likely the least expendable. Expression of bovine EGFP-SMC1 or mouse EGFP-SMC3 in human cells under conditions of human SMC1 or SMC3 knock-down rescued the respective phenotypes, but in untreated cells over-expressed exogenous SMC proteins mis-localized. Paucity of either one of the SMC proteins causes RAD21 degradation. These results argue for great caution in interpreting SMC1 and SMC3 RNAi or over-expression experiments. Under challenged conditions these two proteins unexpectedly behave differently, which may have biological consequences for regulation of cohesin-associated functions and for human cohesin pathologies.
Error analysis in sampling theory

A basic problem in signal theory is the reconstruction of a band-limited function f(t) from its sampled value f(nT). Because of a number of errors, the computed or physically realized signal is only approximately equal to f(t). The most common sampling errors are: round-off of f(nT), truncation of the series generating f(t), aliasing of frequency components above half the sampling rate 1/T, jitter in the recording times nT, loss of a number of sampled values, and imperfect filtering in the recovery of f(t). In the following we study the effect of these errors on the reconstructed signal and its Fourier transform.
Modelling of temperature and dispersion effects in MESFET and HEMT transistors

In this paper, an accurate technique to model temperature, bias, and frequency dispersion effects in MESFET and HEMT transistors is presented. The approach is based on a single drain to source current source I ds nonlinear model. Pulsed I/V characteristics measurements are used to model bias and frequency dispersion effects while temperature is directly implemented in the I ds equation. Model parameters extraction strategy is simple, being based just on a few measurements. The approach validity is verified by comparing the simulated and measured I/V characteristics of the device tested under continuous and pulsed excitation. Large-signal simulation results show that the model can efficiently predict the output power under different bias and temperature conditions.
An Ontology for Qualitative Description of Images

Our approach describes any image qualitatively by detecting regions/objects in the image and describing its visual characteristics (shape and colour) and its spatial characteristics (orientation and topology) by means of qualitative models. The description obtained is translated into a Description Logic (DL) based ontology which provides a formal and explicit meaning to the qualitative tags which represents the visual features of the objects in the image and the spatial relations between them. As a result, for any image, our approach obtains a set of individuals which are classified, using a DL reasoner, according to the descriptions of our ontology.
Del Pezzo surfaces with Du Val singularities

In this paper we study the problem of existence of orbifold Kaehler-Einstein metrics on del Pezzo surfaces of degree 1 with Du Val singular points. Moreover we compute global log canonical thresholds of del Pezzo surfaces of degree 1 with Du Val singularities and of del Pezzo surfaces of Picard rank 1 with Du Val singularities.
Effect of zinc supplementation started during diarrhoea on morbidity and mortality in Bangladeshi children: community randomised trial

Abstract Objective: To evaluate the effect on morbidity and mortality of providing daily zinc for 14 days to children with diarrhoea. Design: Cluster randomised comparison. Setting: Matlab field site of International Center for Diarrhoeal Disease Research, Bangladesh. Participants: 8070 children aged 3-59 months contributed 11 881 child years of observation during a two year period. Intervention: Children with diarrhoea in the intervention clusters were treated with zinc (20 mg per day for 14 days); all children with diarrhoea were treated with oral rehydration therapy. Main outcome measures: Duration of episode of diarrhoea, incidence of diarrhoea and acute lower respiratory infections, admission to hospital for diarrhoea or acute lower respiratory infections, and child mortality. Results: About 40% (399/1007) of diarrhoeal episodes were treated with zinc in the first four months of the trial; the rate rose to 67% (350/526) in month 5 and to >80% (364/434) in month 7 and was sustained at that level. Children from the intervention cluster received zinc for about seven days on average during each episode of diarrhoea. They had a shorter duration (hazard ratio 0.76, 95% confidence interval 0.65 to 0.90) and lower incidence of diarrhoea (rate ratio 0.85, 0.76 to 0.96) than children in the comparison group. Incidence of acute lower respiratory infection was reduced in the intervention group but not in the comparison group. Admission to hospital of children with diarrhoea was lower in the intervention group than in the comparison group (0.76, 0.59 to 0.98). Admission for acute lower respiratory infection was lower in the intervention group, but this was not statistically significant (0.81, 0.53 to 1.23). The rate of non-injury deaths in the intervention clusters was considerably lower (0.49, 0.25 to 0.94). Conclusions: The lower rates of child morbidity and mortality with zinc treatment represent substantial benefits from a simple and inexpensive intervention that can be incorporated in existing efforts to control diarrhoeal disease. What is already known on this topic Zinc deficiency is highly prevalent in children in developing countries Zinc supplements given during diarrhoea reduce the duration and severity of treated episodes If given for 14 days during and after diarrhoea, zinc reduces the incidence of diarrhoea and pneumonia in the subsequent two to three months What this study adds Zinc used as a treatment for diarrhoea reduces mortality in children Zinc reduces admissions to hospital for diarrhoea The impact of zinc on mortality and morbidity can be achieved in a realistic large scale public health programme
High Throughput Landmark Based Image Registration Using Cloud Computing

Cloud computing provides an elastic, as-a-Service resource abstraction with a usage-based payment model, and is emerging as an attracting computing paradigm. This is especially true for computing intensive application workflows with high-throughput requirements, such as those involving large-scale image datasets. In this paper, we investigate the usage of cloud computing to support a medical image registration workflow using the CometCloud autonomic cloud computing framework. CometCloud supports the execution on workflows on heterogeneous, dynamically federated (private and public) clouds, where the federation is driven by application requirements and user objectives. Specifically, in this investigation, we use objectives such as workflow execution deadlines and budget constraints to provision the appropriate type and number of resources, which are the federated with local private resources to provide additional resources to satisfy the objectives. We experimentally tested this cloud-based workflow on a large dataset containing two sets of consecutive digitized breast tissue specimens. This cloud computing based image registration workflow shows promising results in its ability to meet high-throughput, deadline driven requirements.
Resampling to Address the Winner's Curse in Genetic Association Analysis of Time to Event

The “winner's curse” is a subtle and difficult problem in interpretation of genetic association, in which association estimates from large‐scale gene detection studies are larger in magnitude than those from subsequent replication studies. This is practically important because use of a biased estimate from the original study will yield an underestimate of sample size requirements for replication, leaving the investigators with an underpowered study. Motivated by investigation of the genetics of type 1 diabetes complications in a longitudinal cohort of participants in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Genetics Study, we apply a bootstrap resampling method in analysis of time to nephropathy under a Cox proportional hazards model, examining 1,213 single‐nucleotide polymorphisms (SNPs) in 201 candidate genes custom genotyped in 1,361 white probands. Among 15 top‐ranked SNPs, bias reduction in log hazard ratio estimates ranges from 43.1% to 80.5%. In simulation studies based on the observed DCCT/EDIC genotype data, genome‐wide bootstrap estimates for false‐positive SNPs and for true‐positive SNPs with low‐to‐moderate power are closer to the true values than uncorrected naïve estimates, but tend to overcorrect SNPs with high power. This bias‐reduction technique is generally applicable for complex trait studies including quantitative, binary, and time‐to‐event traits.
Realization of Digital Noise Emulator for Characterization of Systems Exposed to Substrate Noise

Frequency and timing of digital clocks, digital switching activities, and number of transistors in digital blocks are the key behavior-level parameters to model switching noise generated by complicated digital systems. In this paper, a Digital Noise Emulator (DNE) is implemented on a test chip to study how these parameters impact the performance of a ring-typed-VCO-based PLL. In addition, the proposed DNE can be used for noise cancellation to improve PLL performance in the presence of deterministic noise.
A New Technic for Complete Correction of Transposition of the Great Vessels: An Experimental Study with a Preliminary Clinical Report

A procedure for complete anatomic correction of transposition of the great vessels is described. The technic is based on the concept of isolating an aortic segment containing both coronary ostia and turning the segment over to fit the outflow stump of the left ventricle. Experimental work and two clinical trials are presented and discussed. We believe that this operation provides an anatomic and physiologic correction of the great vessels and coronary arteries in transposition. In spite of two clinical failures, we think this operation is worthy of further trials.
Retweet Reputation: A Bias-Free Evaluation Method for Tweeted Contents

The widespread of word of mouth using retweets on Twitter has enabled us to estimate trends in the real world. Previous research methods estimate the value of a tweeted content by calculating the number of subscribers who receive the tweet. However, we should consider the numbers of followers for both the tweeter and retweeter(s) as a greater number of followers may result in more retweets, which we call “bias. ” In this paper, we propose a bias-free evaluation method for tweeted contents. Experiments show that our method is successful at evaluating tweets without biases.
Erratum: Uniting old stellar systems: from globular clusters to giant ellipticals

Elliptical galaxies and globular clusters (GCs) have traditionally been regarded as physically distinct entities due to their discontinuous distribution in key scaling diagrams involving size, luminosity and velocity dispersion. Recently this distinctness has been challenged by the discovery of stellar systems with mass intermediate between those of GCs and dwarf ellipticals (such as ultracompact dwarfs and dwarf galaxy transition objects). Here we examine the relationship between the virial and stellar mass for a range of old stellar systems, from GCs to giant ellipticals, and including such intermediate-mass objects (IMOs). Improvements on previous work in this area include the use of (i) near-infrared magnitudes from the Two Micron All Sky Survey (2MASS), (ii) aperture corrections to velocity dispersions, (iii) homogeneous half-light radii and (iv) accounting for the effects of non-homology in galaxies. We find a virial-to-stellar mass relation that ranges from ∼10 4 M ⊙ systems (GCs) to ∼10 12 M⊙ systems (elliptical galaxies). The lack of measured velocity dispersions for dwarf ellipticals with - 16 > M K > - 18 (∼ 10 8 M ⊙ ) currently inhibits our ability to determine how, or indeed if, these galaxies connect continuously with GCs in terms of their virial-to-stellar mass ratios. We find elliptical galaxies to have roughly equal fractions of dark and stellar matter within a virial radius; only in the most massive (greater than 10 12 M ⊙ ) ellipticals does dark matter dominate the virial mass. Although the IMOs reveal slightly higher virial-to-stellar mass ratios than lower mass GCs, this may simply reflect our limited understanding of their initial mass function (and hence their stellar mass-to-light ratios) or structural properties. We argue that most of these IMOs have similar properties to massive GCs, i.e. IMOs are essentially massive star clusters. Only the dwarf spheroidal galaxies exhibit behaviour notably distinct from the other stellar systems examined here, i.e. they display a strongly increasing virial-to-stellar mass ratio (equivalent to higher dark matter fractions) with decreasing stellar mass. The data used in this study are available in electronic format.
The effect of antenna array beamforming errors on DS-CDMA communication systems

We analyze the combined e ects of estimation error in the multiple access interference (MAI) covariance and array response vectors in optimum digital beamforming in a generic DS-CDMA cellular system. We quantify how errors in the estimation in both the array response and covariance matrices a ect the system SINR. We apply this analysis to a recently proposed optimum beamforming algorithm using signal cancellation. For this algorithm, we show that the estimation errors in the array response vector is independent of the errors MAI covariance.
Pseudoangiomatous Stromal Hyperplasia: A Case Report

Pseudoangiomatous stromal hyperplasia (PASH) is a rare benign proliferating breast condition. It was first reported in 1986 when Vuitch, Rosen, and Erlandson described nine cases of benign well-circumscribed, breast masses that simulated vascular lesions consisting of mammary stromal proliferations (Vuitch et al. (1986)). Since then there have been few reported cases of PASH in the literature (Taira et al. (2005)). We describe a large PASH, mimicking inflammatory carcinoma in a young lady that was excised with excellent cosmetic results.
Haemolytic differential identification of Arcanobacterium haemolyticum isolated from a patient with diabetic foot ulcers

Introduction: Arcanobacterium haemolyticum (formerly known as Corynebacterium haemolyticum) is the causative agent of sore throat and also causes skin and soft tissue infections in diabetes patients. A. haemolyticum is a Gram-positive, catalase-negative, β-haemolytic bacillus. A. haemolyticum poses a diagnostic challenge in the hospital laboratory because most coryneform bacilli are considered as normal flora or contaminants, and it is therefore difficult to differentiate from β-haemolytic streptococci by colony characteristics. Case presentation: A. haemolyticum was isolated from a diabetic patient with foot ulcers and the isolate was identified by using a VITEK-2 system, CAMP inhibition test, reverse CAMP test and a 23S rRNA gene sequence analysis. The isolated A. haemolyticum inhibited haemolysis of Staphylococcus aureus in the CAMP test and enhanced haemolysis of Streptococcus agalactiae in the reverse CAMP test. The diabetic patient was treated with teicoplanin and imipenem, and the ulcers healed within 2 weeks. Conclusion: The present study suggests that a haemolytic differential method using the CAMP inhibition and reverse CAMP tests can be useful for differentiating A. haemolyticum from β-haemolytic streptococci.
Reflecting narrative interview context as performance: interviews with former homeless persons with intoxication and mental health problems

The objective in this article was to discuss the importance of reflecting the interview context holistically in which the temporality and spatiality, the bodily poses and actions, as well as the interaction, have an impact on the narrative produced in an interview. Using performance perspective, I shall demonstrate how these different dimensions also have an impact on the produced story. I shall focus on some challenging interview situations with former long-term homeless women and men. The most challenging interviews were those when intoxication or mental health problems were present. This caused ethical issues which I shall reflect upon. I shall also discuss about the emotional as well as some narrative challenges which made me understand the meaning of interview context and the need to reflect on it more profoundly.
A Performance Evaluation of Security Mechanisms for Web Services

Recently, web services security has shown a significant gesture as several specifications have been developed and implemented to meet the security challenges of web services. However, the performance of the security mechanisms is fraught with concerns due to additional security contents in SOAP messages, the higher number of message exchanges to establish trust as well as extra CPU time to process these additions. In this paper, we consider and compare the performance of various security mechanisms applied on a simple web service tested with different initial message sizes. The test results show that transport layer security mechanisms are considerably faster than message level security mechanisms. Moreover, the effect of adding SAML-tokens is negligible and the performance of SAML-based web services depends mostly on the underlying security mechanisms. Finally, the performance penalty of applying STS security mechanisms is significantly high comparing to non-STS mechanisms.
A Hybrid Algorithm for Frequent Pattern Mining Using MapReduce Framework

Advancements in the field of information technology have resulted in an increase in the speed and amount of data generated. This has resulted in traditional association rules algorithms, such as the Apriori and Frequent Pattern Growth (FP-Growth) algorithms, no longer being able to rapidly explore valuable knowledge in big data. Nowadays, parallel computing with technologies such as MapReduce is commonly used to reduce execution times. Because the FP-Growth algorithm uses an FP-Tree to mine itemsets, decomposing its structure into subtasks is difficult. We developed a method that combines the Apriori and FP-Growth algorithms with MapReduce to rectify this problem. In experiments conducted, we varied the block size of the Mapper to achieve execution performance better than those of the Apriori and FP-Growth algorithms.
Credit Where Credit is Due: Considering Ethics, Ethos , and Process in Library Instruction on Attribution

Numerous reasons have been offered for the increase in plagiarism in the academy over the last decade, and most of the research has assigned primary blame to the influence of the Internet. Few writers have considered how changes in the location of research and citation instruction have had an impact on these statistics. The lack of such instruction in first-year writing courses, spurred by changes in pedagogical theory on the teaching of composition, has been a powerful but subtle influence on how (or even if) research process is truly taught to undergraduates. Further, as librarians have adopted and deployed information literacy initiatives in their institutions, their responsibilities related to the ethical and effective use of sources have grown. Considering options for instructing students “how” and “why” they will want to use sources will help teaching librarians achieve their information literacy initiatives and prepare for the new and changing roles they will accept in their institution’s educational mission.
Twistors and black holes

Motivated by black hole physics in N=2, D=4 supergravity, we study the geometry of quaternionic-Kahler manifolds M obtained by the c-map construction from projective special Kahler manifolds M_s. Improving on earlier treatments, we compute the Kahler potentials on the twistor space Z and Swann space S in the complex coordinates adapted to the Heisenberg symmetries. The results bear a simple relation to the Hesse potential \Sigma of the special Kahler manifold M_s, and hence to the Bekenstein-Hawking entropy for BPS black holes. We explicitly construct the ``covariant c-map'' and the ``twistor map'', which relate real coordinates on M x CP^1 (resp. M x R^4/Z_2) to complex coordinates on Z (resp. S). As applications, we solve for the general BPS geodesic motion on M, and provide explicit integral formulae for the quaternionic Penrose transform relating elements of H^1(Z,O(-k)) to massless fields on M annihilated by first or second order differential operators. Finally, we compute the exact radial wave function (in the supergravity approximation) for BPS black holes with fixed electric and magnetic charges.
CLASSICAL SIMULATION OF RESTRICTED QUANTUM COMPUTATIONS Mrityunjaya Nebhwani

We study restricted models of measurement-based quantum computation; and we investigate whether their output probability distributions can be sampled from e ciently on a classical computer. We find that even for non-adaptive models of MBQC, if this task were feasible then a major conjecture of computational complexity theory would be violated. Finally, we show that our results coincide with previous work that is based on the quantum circuit model.
Role-Dependent Privacy Preservation for Secure V2G Networks in the Smart Grid

Vehicle-to-grid (V2G), involving both charging and discharging of battery vehicles (BVs), enhances the smart grid substantially to alleviate peaks in power consumption. In a V2G scenario, the communications between BVs and power grid may confront severe cyber security vulnerabilities. Traditionally, authentication mechanisms are solely designed for the BVs when they charge electricity as energy customers. In this paper, we first show that, when a BV interacts with the power grid, it may act in one of three roles: 1) energy demand (i.e., a customer); 2) energy storage; and 3) energy supply (i.e., a generator). In each role, we further demonstrate that the BV has dissimilar security and privacy concerns. Hence, the traditional approach that only considers BVs as energy customers is not universally applicable for the interactions in the smart grid. To address this new security challenge, we propose a role-dependent privacy preservation scheme (ROPS) to achieve secure interactions between a BV and power grid. In the ROPS, a set of interlinked subprotocols is proposed to incorporate different privacy considerations when a BV acts as a customer, storage, or a generator. We also outline both centralized and distributed discharging operations when a BV feeds energy back into the grid. Finally, security analysis is performed to indicate that the proposed ROPS owns required security and privacy properties and can be a highly potential security solution for V2G networks in the smart grid. The identified security challenge as well as the proposed ROPS scheme indicates that role-awareness is crucial for secure V2G networks.