Miracle-dz/UniFAR-FTUs huggingface dataset:
Realtime Tomography of Gas-Jets with a Wollaston Interferometer

A tomographic gas-density diagnostic using a single-beam Wollaston interferometer able to characterise non-symmetric density distributions in gas jets is presented. A real-time tomographic algorithm is able to reconstruct three dimensional density distributions. A Maximum Likelihood -- Expectation Maximisation algorithm, an iterative method with good convergence properties compared to simple back projection, is used. With the use of graphical processing units, real time computation and high resolution are achieved. Two different gas jets are characterised: a kHz, piezo-driven jet for lower densities and a solenoid valve based jet producing higher densities. While the first is planned for to be used in bunch length monitors at the free electron laser at Paul Scherrer Institut (PSI, SwissFEL), the second jet is planned to be used for laser wakefield acceleration experiments, exploring the linear regime. In this latter application, well-tailored and non-symmetric density distributions produced by a supersonic shock front generated by a razor blade inserted laterally to the gas flow, which breaks cylindrical symmetry, need to be characterized.
Data Architecture, Machine Learning and Firm Productivity

As enterprise IT systems increasingly incorporate machine learning technology, it is crucial to understand complementary organizational practices that allow firms to unleash productivity benefits from adoption. This study examines the relationship between machine learning adoption and data architecture capabilities using detailed corporation-level data. We utilize a survey to measure two clusters of data architecture practices -data fabric and ML infrastructure, for 82 large corporations. We use data on legacy systems and software varieties to produce out-of-sample predictions of data architecture capabilities for an additional 143 large corporations on the Fortune 500 list. We find that corporations with higher data fabric capability adopt machine learning more intensively. A one-standard-deviation increase in machine learning adoption is associated with a 1.5% increase in productivity among corporations with above-median data fabric capability. However, machine learning adoption can negatively affect firm productivity without a sufficiently developed data fabric. These results suggest that data fabric capability is complementary to machine learning adoption. Data fabric facilitates more coordinated and less fragmented adoption of ML software products across the organization because it allows organizations to integrate large data streams across diverse sources and locations. † Corresponding author. Email: rcao@hbs.edu. We are grateful to Alexandria Sheng, Ellen Wu, Amanda Pratt, Ross Sullivan, and the Keystone Strategy team for implementing the survey and collecting the data. Satya Nadella, Kinney Zalesne, and Greg Shaw at Microsoft provided invaluable input and helped fund the data collection process. We thank Karim Lakhani for his insights on the importance of organizational and technological architecture in scaling digital innovation. We thank Tim DeStefano, Chiara Farronato, Chris Forman, Shane Greenstein, Kristina McElheran, Frank Nagle, Glen Weyl, and Feng Zhu for very helpful comments. One of us (Marco Iansiti) has worked with many companies in the IT sector and in traditional industries on the topic of digital transformation.
The Roles of Authentic Leadership, Self-efficacy, and Employees’ Silence on Organizational Commitment in BINUS University

: The purpose of this research is to evaluate the role of authentic leadership style, job satisfaction, and employee silence toward organizational commitment to employees. Authentic leadership is a leadership style that is built on ethical foundation and emphasizes on the process of building an honest relationship with followers by appreciating their input. Self-efficacy is self-perception of how well a person can work in a given situation. Employee silence is a deliberate silent behavior committed by employees to hold ideas, ideas, and information about problems that occur within the organization that can adversely affect the organization. Organizational commitment refers to the extent to which individual psychological attachment to the organization, which is derived into three dimensions: affective commitment, normative commitment, and ongoing commitment. Subjects to be involved in the research are full time employees at the University of Bina Nusantara. This research uses quantitative approach through questionnaire, while model test will be done by path analysis technique.
Potential gene regulatory role for cyclin D3 in muscle cells

Cyclin D3 is important for muscle development and regeneration, and is involved in post-mitotic arrest of muscle cells. Cyclin D3 also has cell-cycle-independent functions such as regulation of specific genes in other tissues. Ectopic expression of cyclin D3 in myoblasts, where it is normally undetectable, promotes muscle gene expression and faster differentiation kinetics upon serum depletion. In the present study, we investigated the mechanistic role of cyclin D3 in muscle gene regulation. We initially showed by mutational analysis that a stable and functional cyclin D3 was required for promoting muscle differentiation. Using chromatin immunoprecipitation assays, we demonstrated that expression of cyclin D3 in undifferentiated myoblasts altered histone epigenetic marks at promoters of muscle-specific genes like MyoD, Pax7, myogenin and muscle creatine kinase but not non-muscle genes. Cyclin D3 expression also reduced the mRNA levels of certain epigenetic modifier genes. Our data suggest that epigenetic modulation of muscle-specific genes in cyclin-D3-expressing myoblasts may be responsible for faster differentiation kinetics upon serum depletion. Our results have implications for a regulatory role for cyclin D3 in muscle-specific gene activation.
An Empirical Study of Obsolete Knowledge on Stack Overﬂow

—Stack Overﬂow accumulates an enormous amount of software engineering knowledge. However, as time passes, certain knowledge in answers may become obsolete. Such obsolete answers, if not identiﬁed or documented clearly, may mislead answer seekers and cause unexpected problems (e.g., using an out-dated security protocol). In this paper, we investigate how the knowledge in answers becomes obsolete and identify the characteristics of such obsolete answers. We ﬁnd that: 1) More than half of the obsolete answers (58.4%) were probably already obsolete when they were ﬁrst posted. 2) When an obsolete answer is observed, only a small proportion (23.5%) of such answers are ever updated. 3) Answers to questions in certain tags (e.g., tags related to web and mobile development) are more likely to become obsolete. Our ﬁndings suggest that Stack Overﬂow should develop mechanisms to encourage the whole community to maintain answers (to avoid obsolete answers) and answer seekers are encouraged to carefully go through all information (e.g., comments) in answer threads.
Sandra Vladimirov_Layout 1

Background: Non-cholesterol sterols (NCS) are promising biomarkers for estimation of cholesterol homeostasis properties. In addition, determination of NCS in high-density lipoprotein (HDL) fraction (HDL-NCS) could provide information on cholesterol efflux. However, matrix effects interfere in liquid chromatography–mass spectrometry (LC-MS) analysis of NCS, thereby impairing the method sensitivity. The aims of this study were development, optimization and validation of LC-MS method for quantification of NCS in serum and HDL-NCS. Additionally, matrix effect interferences and methods application in individual serum samples were examined. Methods: HDL precipitating reagent was used for HDL isolation. Matrix effect was examined by comparing different surrogates by simple regression analysis. Validation was conducted according to the FDA-ICH guideline. 20 healthy volunteers were recruited for testing of method application. Results: The observed matrix effect was 30%, and matrix comparison showed that cholesterol was the dominant contributor to the matrix effect. Cholesterol concentration was adjusted by construction of the calibration curve for serum and HDL fraction (5 mmol/L and 2.5 mmol/L, respectively). The intraand interrun variabilities for NCSs Kratak sadr`aj
Functional Properties and Regulatory Complexity of a Minimal RBCS Light-Responsive Unit Activated by Phytochrome, Cryptochrome, and Plastid Signals 1

Light-inducible promoters are able to respond to a wide spectrum of light through multiple photoreceptor systems. Several cis-acting elements have been identified as components of light-responsive promoter elements; however, none of these regulatory elements by itself appears to be sufficient to confer light responsiveness; rather, the combination of at least two elements seems to be required. Using phylogenetic structural analysis, we have identified conserved DNA modular arrays (CMAs) associated with light-responsive promoter regions that have been conserved throughout the evolutionary radiation of angiosperms. Here, we report the functional characterization of CMA5, a native 52-bp fragment of the Nicotiana plumbaginifolia rbcS 8B promoter, which contains an I- and a G-box cis-element. CMA5 behaves as a light-responsive minimal unit capable of activating a heterologous minimal promoter in a phytochrome-, cryptochrome-, and plastid-dependent manner. We also show that CMA5 light induction requires HY5 and that downstream negative regulators COP (constitutive photomorphogenic)/DET (de-etiolated) regulate its activity. Our results show that the simplest light-responsive promoter element from photosynthesis-associated genes described to date is the common target for different signals involved in light regulation. The possible mechanism involved in light-transcriptional regulation and tissue specificity of combinatorial elements units is discussed. CMA5 a Composite LRE
Privacy-Preserving and Dynamic Multikey Generation over Encrypted Cloud Data

Due to the abundant characteristics of Cloud Computing; viz. on-demand self-service, broad network access, resource pooling, rapid elasticity, measured service; it is becoming a buzz word these days. Many companies are providing cloud services. However, confidential and sensitive data has to be secured. So the outsourced data has to be encrypted for security of the cloud services user. Basically the user mainly focuses on keyword based document retrieval. The existing scheme is based on multi-keyword ranked search which supports dynamic update operations. The data owner generates an exceptional tree-based catalog composition together with “Greedy Depth-first Search” criteria to make successful multi-keyword search. Achieving parallelism is the limitation of the existing system. Hence, in our work, we extend the existing scheme with secure Dynamic Key generation along with the vector space model and it also includes TF_IDF model for index development as well for query generation. The dynamic key generation favors parallel search process by allowing multiple users to retrieve the same encrypted cloud data. Keywords— Searchable encryption, multi-keyword ranked search, dynamic update, cloud computing.
alteration in and in the

Brain aging is marked by cognitive decline and increased susceptibility to neurodegeneration. Epigenetic 20 mechanisms, including DNA methylation, are vital to CNS cellular function and memory formation, and 21 are dysregulated with aging and age-related neurodegenerative disease. Caloric-restriction (CR), an 22 established pro-longevity intervention, increases neurogenesis, improves memory function, and 23 protects from age-associated pathologies. However, the molecular mechanisms promoting the 24 neuroprotective effect of CR remain largely unknown. We tested the role of DNA methylation as a 25 mechanism for CR-induced neuroprotection in the old brain. Hippocampal DNA from young (3M) and 26 old (24M) male mice fed ad libitum and 24M old mice fed 40% calorie-restricted diet from 3M of age 27 were examined by genome-wide bisulfite sequencing to measure methylation levels at base-specific 28 resolution. Over 25 million CG and CH (non-CG) sites were examined. Of the ~40,000 differentially 29 methylated CGs (dmCGs) and ~80,000 CHs (dmCHs) observed with aging, 35% and 38%, respectively, 30 were prevented by CR. Unique to dmCHs, CR preferentially prevented age-related hypermethylation. A 31 diet-specific methylation response was observed in both CG and CH contexts. CR-induced dmCHs were 32 enriched in CG-rich regions such as promoters and CG islands including hypermethylation of DNMT1 and 33 TET3 promoters corresponding to reduced gene expression. These findings demonstrate for the first 34 time that caloric-restriction prevents age-induced cytosine methylation changes in the old brain in 35 combination with CR-specific methylation changes that may function to maintain epigenetic 36 homeostasis through epigenetic auto-regulation. The prevention of age-dmCGs/CHs by CR emphasizes 37 the prominent role of DNA methylation as a driver of the aging process. neurodegenerative disease. Unexplored though is whether anti-aging treatments can maintain 42 ‘youthful’ methylation patterns in the brain. Our findings demonstrate that caloric-restriction attenuates 43 age-related changes in DNA methylation and induces changes in DNA methylation at specific sites 44 independent of aging in both neuroprotective pathways and pathways shared by different tissues 45 responsive to calorie-restriction, potentially through a combination of epigenetic auto-regulation and 46 uniquely targeted changes in methylation. These findings contribute to our understanding of the aging 47 process and the molecular mechanisms underlying anti-aging treatments. study and previous gene expression studies suggest a role for DNA methylation as a possible mechanism for the neuroprotective effect of
Evaluation Phase of a Novel Blood Pressure Monitor Device

Blood pressure (BP) has always been one of the most important parameters in monitoring cardiovascular system conditions and coronary artery diseases (CAD), such as angina and myocardial infarction (commonly known as a heart attack). This is due to the fact that many of the changes within the cardiovascular system, like clogged arteries for example, are reflected by changes in BP. A number of methods and devices that can measure BP are available on the market for both clinical and consumer use. However, being able to measure one’s own BP non-invasively, with the required frequency (even continuously) in a comfortable fashion remains an unsolved problem using currently available systems. To date, the Pulse Transit Time (PTT) measurement method has been seen as a feasible approach to help bring current blood pressure monitoring systems to a stage where non-invasive, continuous measurements are viable. However, developing a system which uses the PTT method for blood pressure measurement is as yet an unsolved problem and it remains a challenging way to achieve accurate BP results despite considerable research in the past decade. In this paper, we present the first step in building a smart sensing system that overcomes the technical difficulties associated with accurate measurement of PTT. The novel hardware developed incorporates multi modal sensing capability to explore and quantify the relationship between blood pressure and PTT in clinical tests.
A Novel Lightweight Key Management Scheme for Patient Data Privacy on Body Sensor and Cloud based Healthcare Service

: The healthcare networks consist of the wireless sensors to monitor the patient’s health, hence called wireless body area networks (WBANs). The wireless sensors collect and transmit the health information to the healthcare management servers, which are usually hosted on the cloud platforms. The cloud platforms based healthcare management services offer high scalability and robustness in terms of response time, resource and data handling, but prone to various types of information leakage attacks due to the higher level of exposure to the outer world. The proposed model is based upon the secure tunnel based on randomized authentication & key management service, which is designed as the lightweight key management scheme for WBANs to protect the patient data privacy during the transmissions. The scheme aims at providing the higher level of security while keeping the battery consumption at the lowest possible level for the key management service.
Type of the Paper ( Article ) 1 Multidisciplinary approach to evaluate the 2 geochemical degradation of building stone related to 3 pollution sources in the Historical Centre of Naples 4 ( Italy ) 5

1 University of Milan, Department of Chemistry, 20133 Milan (Italy); valeria.comite@gmail.com 10 2 University of Calabria, Department of Biology, Ecology and Earth Sciences (DiBEST), 87036 Arcavacata di 11 Rende, CS (Italy); michela.ricca@unical.it; silvestro.ruffolo@unical.it; donatella.barca@unical.it; 12 natalia.rovella@unical.it; mlarussa@unical.it 13 3 University of Naples, Federico II, Department of Pharmacy, 80138 Napoli (Italy); 14 sossiofabio.graziano@unina.it 15 4 University of Naples Federico II, Department of Earth Science, Environment and Resources (DiSTAR), 16 80138 Napoli (Italy); piergiulio.cappelletti@unina.it; concetta.rispoli@unina.it 17 5 University of Salerno, Department of Chemistry and Biology, 84084 Fisciano, SA (Italy); chgallo@unisa.it 18 19
Supplementation effects of the "perfect" antioxidant α -lipoic acid in oxidative stress and zootechnical behavior of livestock animals or aquatic organisms?: Protocol for a systematic review and meta-analysis

and zootechnical behavior of livestock animals or aquatic organisms? : Protocol for a systematic review and meta-analysis Juan Rafael Buitrago Ramírez; Patricia Ramos; Jose Maria Monserrat 1 Laboratório de Bioquímica Funcional (BIFOA), Centro de Biotecnologica e Doenças de Organismos Aquáticos (CBD), Instituto de Oceanografia (IO), FURG, Brasil 2 Programa de Pós-graduação em Aquicultura, Universidade Federal do Rio Grande FURG, Rio Grande, RS, Brasil. 3 Instituto de Ciências Biológicas, Universidade Federal do Rio Grande -FURG, Rio Grande, RS, Brasil.
Effect of Intravenous Nitroglycerin

This study was performed to determine whether nitroglycerin (NG) can increase collateral flow to ischemic myocardium and reduce ultimate infarct size. Permanent occlusion of the mid-circumflex coronary artery was produced in 43 previously instrumented conscious dogs and within 3 minutes, 6-hour intravenous infusions were begun of saline (controls, n = 18), NG in doses to reduce mean arterial pressure by 10% but not below 90 mm Hg (n = 15), or NG followed by methoxamine (MX) to correct the NG-induced fall in blood pressure (n = 10). After sacrifice 2 days later, the occluded coronary bed was defined by postmortem coronary arteriography and masses of infarct and occluded bed were measured by planimetry of weighed rings of the left ventricle (LV). Infarct size was significantly less with NG than saline, both as a percent of LV (12.1 vs 6.4%, p < 0.05) and as a percent of occluded bed (32.0 vs 15.9%,p < 0.005). NG plus MX did not reduce infarct size more than NG alone: 6.6 vs 6.4% of LV, and 16.0 vs 15.9% of occluded bed. Masses of LV and occluded bed did not differ significantly among the three groups. Coronary blood flow (CBF), measured by 7-10-,gm radioactive microspheres, increased by more than 50% throughout the occluded bed (p < 0.005) after NG, and was more than the spontaneous increase seen in controls (p < 0.05), but MX had no additional effect on CBF
GROWTH, YIELD, FRUIT QUALITY AND MINERAL COMPOSITION OF FIVE CITRUS ROOTSTOCKS

This study was carried out on 12 years old citrus rootstocks namely: Sour orange, Rangpur lime, Volkamer lemon, Troyer citrange and Cleopatra mandarin to evaluate their growth, yield, fruit quality and mineral composition of roots and leaves. The obtained results are summarized as follows: 1. Volkamer lemon and Rangpur lime have the largest tree size and leaf or shoot growth characters. Sour orange was moderate while, Troyer citrange and Cleopatra mandarin had the lowest values of all tested growth parameters. 2. Volkamer lemon and Rangpur lime, had the greatest weight of fibrous roots at all distances from tree trunk, but the lowest weight of fibrous roots was found for Cleopatra mandarin rootstock. 3. Volkamer lemon and Rangpur lime had significantly heavier fruit yield as (kg) per tree as compared with the other tested rootstocks. Fruits in Volkamer lemon and Sour orange was large and heavier, but in Troyer citrange, it was moderate, while fruit of Rangpur lime and Cleopatra mandarin was small. Rangpur lime gave numerous seeds per fruit, however Sour orange, Volkamer lemon and Troyer citrange were moderate, while Cleopatra mandarin gave the lowest number of seeds per fruit. 4. On the other hand, Sour orange gave the highest percentage of seed germination, followed by Cleopatra mandarin, while, troyer citrange recorded the least value. Volkamer lemon and Rangpur lime recorded moderate value of seed germination percentage. 5. Leaves of Volkamer lemon and Rangpur lime contained higher N, P, K, Ca, Mg, Fe, Mn and Cu but lower Na and Cl levels than that of the other tested rootstocks. However, macro and micronutrients in the roots of all tested rootstoc1ks were not consistent in their trend.
Regression in random design and wavelet block thresholding

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Regression in random design and wavelet block thresholding Christophe Chesneau
Taxonomic recommendations for British birds: seventh report

This paper is the seventh report of the Taxonomic Sub-Committee (TSC) of the BOU Records Committee (BOURC) relating to the British List. Species-level decisions are based on criteria outlined by Helbig et al. (2002). The sixth report of the Sub-Committee was published by Sangster et al. (2010a). The Sub-Committee has been working with the Association of European Rarities Committees’ Taxonomic Advisory Group, which has recently published recommendations online (Crochet et al. 2010). The reports of the BOURC and its TSC, which are published in Ibis, remain the official publications of the BOU.
Agent based modeling of Diffusion of Information across Investors in Financial Markets: how to model it.

: In the talk, we will discuss on how an artiﬁcial intelligence technique, agent based modeling, could be used to model the diffusion of information among investors and how several approximations of the real phenomena could be modeled. During the talk we will also show and comment about the empirical ﬁndings obtained.
Does Auditor Tenure Improve Audit Quality? Moderating Effects of Industry Specialization and Fee Dependence

We investigate whether the relation between auditor tenure and audit quality is conditional on auditor specialization and fee dependence. Although prior studies have investigated the relation between extended auditor-client tenure and audit quality, none has examined how this relation is jointly influenced by both auditor specialization and fee dependence. Our main analyses, using accrual quality as a measure of audit quality, show that firms audited by specialists (vs. non-specialists) have relatively higher audit quality with extended auditor tenure, and that this relation is negatively moderated by auditors’ fee dependence on clients. These results are robust to sensitivity tests, and alternative proxies for audit quality such as the issuance of going concern opinions and the market’s response to quarterly earnings