Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Analytical Approach to Fabricate Composites for Microwave Absorption

Nowadays microwave absorbing materials (MAMs) is in keen research interest because of its various applications in civil as well as in defense. Magnetic, dielectric, and polymeric composite materials are of research focus to achieve good microwave absorption with wide bandwidth (BW). The characteristics of the materials such as permittivity and permeability affect the absorption properties of MAMs. The variation in the proportion of the constituents of the composites (volume fraction ratio), size, shape, and coating thickness of composite has a drastic effect on the absorption behavior of MAMs. Hence, the engineering of absorbing materials with a desirable value of reflection loss (RL) and BW with respect to their physical properties is of great importance. Role of constituents as host or inclusion decides the properties of composites. Research on various material parameters on the microwave absorption is still hanging on a trial and error or knowledge-based experimental determination of the absorption characteristic which is very cumbersome, time consuming, and above all a costly affair. There is an urgent need of the optimization of the parameters of the composites for a desired RL over a broad frequency range for practical feasibility of microwave absorber. Thus, in this paper, an attempt has been made for the development of an analytical model to predict the selection of materials for the composite [as an inclusion (<inline-formula> <tex-math notation="LaTeX">$m_{i}$ </tex-math></inline-formula>), volume fraction (<inline-formula> <tex-math notation="LaTeX">$V_{f}$ </tex-math></inline-formula>)], and a coating thickness (<inline-formula> <tex-math notation="LaTeX">$t$ </tex-math></inline-formula>) of the composites for a predetermined RL and BW in-accordance with the requirement of the end user. A Mixing model for the extraction of effective permittivity (<inline-formula> <tex-math notation="LaTeX">$\varepsilon _{\mathrm {eff}}$ </tex-math></inline-formula>), permeability (<inline-formula> <tex-math notation="LaTeX">$\mu _{\mathrm {eff}}$ </tex-math></inline-formula>) of the composite, and Genetic algorithm as an optimization technique for the determination of <inline-formula> <tex-math notation="LaTeX">$m_{i}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$V_{f}$ </tex-math></inline-formula>, and t for a specific RL and BW are used for proposing the algorithm. The developed model has been tested on the nanostructured NiFe<sub>2</sub>O<sub>4</sub> (NF) and TiO<sub>2</sub> (T) composite, which may possibly have good absorption in <inline-formula> <tex-math notation="LaTeX">$C$ </tex-math></inline-formula>- and <inline-formula> <tex-math notation="LaTeX">$X$ </tex-math></inline-formula>-bands. The computed results were experimentally validated and found that it is in good agreement. The proposed algorithm has been applied to other composites with different morphologies like nanostructured nickel ferrite (NF)—nickel zinc ferrite (NZF) and calcium ferrite (CF)—graphite (G).
Gluconic acid promoted cascade reactions of 2-phenylimidazo[1,2-a] pyridine-3-carbaldehyde with cyclohexane-1,3-dione to create novel fused bisheterocycles

Abstract Here in, we described the synthesis of novel bisheterocycles imidazopyridine bearing xanthenedione by reacting various substituted 2-phenylimidazo [1,2-a] pyridine-3-carbaldehyde with cyclohexane-1,3-dione in gluconic acid aqueous solution (GAAS) via a tandem Knoevenagel followed by Michael, cyclization & tautomerization sequence. The use of GAAS in organic synthesis offers significant benefits like cost-effective, simple operation, reusable catalyst and green method. The reaction completed in 2–12 h to afford white stable solid compounds with very good yield. The structures of the compounds are confirmed by analyzing MS, IR, 1H NMR and 13C NMR spectra. Further, the structure of compound 3 h was confirmed by XRD analysis. GRAPHICAL ABSTRACT
Parents’ experiences of services for their child with a life-limiting neurodevelopmental disability

ABSTRACT This study explored parents’ experiences of services for children with life-limiting neurodevelopmental disabilities (LLNDD) using mixed methods. The study included a quantitative survey (n = 63) and qualitative interviews (n = 12), with a focus on integrating the findings to identify higher-level insights. Results suggest parents’ experiences are mixed, showing more negative than positive experiences. Access to services was described as problematic, with obstacles including funding and geographical inequities. Helpful aspects included staff attitudes and relationships and, to a lesser extent, coordinated care. Unhelpful aspects included inconsistencies in the provision of services. The findings suggest some implications for service provision, including the need for a more family-centered approach.
Non-Iterative Parameter Estimation for Total Variability Model Using Randomized Singular Value Decomposition

In this paper, we address the problem of parameter estimation for the Total Variability Model (TVM) [1]. Typically, the estimation of the Total Variability Matrix requires several iterations of the Expectation Maximization (EM) algorithm [2], and can be considerably demanding computationally. As a result, fast and efficient parameter estimation remains a key challenge facing the model. We show that it is possible to reduce the Maximum Likelihood parameter estimation problem for TVM into a Singular Value Decomposition (SVD) problem by making some suitably justified approximations in the likelihood function. By using randomized algorithms for efficient computation of the SVD, it becomes possible to accelerate the parameter estimation task remarkably. In addition, we show that this method is able to increase the efficiency of the ivector extraction procedure, and also lends some interpretability to the extracted ivectors.
Functional dissection of SiiE, a giant non‐fimbrial adhesin of Salmonella enterica

Salmonella enterica deploys the giant non‐fimbrial adhesin SiiE to adhere to the apical side of polarized epithelial cells. The establishment of close contact is a prerequisite for subsequent invasion mediated by translocation of effector proteins of the Salmonella Pathogenicity Island 1 (SPI1)‐encoded type III secretion system (T3SS). Although SiiE is secreted into the culture medium, the adhesin is retained on the bacterial envelope in the phase of highest bacterial invasiveness. To dissect the structural requirements for secretion, retention and adhesive properties, comprehensive deletional and functional analyses of various domains of SiiE were performed. We observed that β‐sheet and coiled‐coil domains in the N‐terminal moiety of SiiE are required for the control of SiiE retention on the surface and co‐ordinated release. These results indicate a novel molecular mechanism for the control of surface display of a T1SS‐secreted adhesin that acts cooperatively with the SPI1‐T3SS.
A two-cardinal theorem for homogeneous sets and the elimination of Malitz quantifiers

Introduction. The aim of the present paper is to give a first approximation to the problem of finding natural conditions for a theory in the first order language to admit the elimination of certain Malitz quantifiers in the same sense as the substructure completeness theorem does for elimination of elementary quantifiers. In other words, we look for the classes of first order theories which remain essentially the same when we add certain Malitz quantifiers. Thus, the present paper is a contribution to first order model theory, and not to logics with additional quantifiers. Our investigations were inspired by the second author's mostly unpublished work (cf. [TU1] and [TU2]) concerning the eliminability of the quantifiers "there are K.a many" (= Malitz quantifiers for 1-tuples) which we intended to extend to the general case. Although we did not completely succeed in our design, we obtained some partial results which we present in the following order. 1 contains definitions, conventions, central properties related to the quantifiers, and an eliminability condition for Ramsey quantifiers (= Malitz quantifiers in the N0-interpretation). 2 is devoted to a two cardinal theorem for maximally homogeneous sets (without any reference to quantifiers). 3 is an application of ? 2 to the eliminability problem. 4 provides a negative answer to a question of Baldwin and Kueker [BK, Question 4]. Open questions are scattered about the paper. Our results were obtained independently of [BK] in September-October 1979. For further historical remarks, see below.
Y9.FS2.1: Distributed Control Methods for Intelligent Power Management with Moving Equilibria

1. Project Goals The objective of this project is to develop a comprehensive state-variable model of the FREEDM system followed by controller designs for feasibility, stability and dynamic performance analysis. The specific goals for this year are to:  Incorporate component dynamics into the LSSS testbed following IEEE 34 bus  Implement power sharing methods in multi-SST testbed  Develop decentralized controller for multi-SST system  Stability analysis of multi-SST FREEDM system
The Effect of Credit Competition on Banks’ Loan Loss Provisions

Exploiting differential interstate-branching deregulation across contiguous counties of adjacent states, we investigate the effect of entry threat on incumbent banksâ€™ loan-loss provisions. Incumbents exposed to entry threat have offsetting incentives; lower provisions make their loan-underwriting quality appear better, deterring entry, but make local economic conditions appear better, encouraging entry. We find that the incentive to increase apparent loan-underwriting quality dominates on average. We further find that this incentive is stronger in counties with a higher proportion of heterogeneous loans, while the other incentive dominates in counties with both low heterogeneous loans and highly volatile economic conditions.
Zinc Levels Modulate Lifespan through Multiple Longevity Pathways in Caenorhabditis elegans

Zinc is an essential trace metal that has integral roles in numerous biological processes, including enzymatic function, protein structure, and cell signaling pathways. Both excess and deficiency of zinc can lead to detrimental effects on development and metabolism, resulting in abnormalities and disease. We altered the zinc balance within Caenorhabditis elegans to examine how changes in zinc burden affect longevity and healthspan in an invertebrate animal model. We found that increasing zinc levels in vivo with excess dietary zinc supplementation decreased the mean and maximum lifespan, whereas reducing zinc levels in vivo with a zinc-selective chelator increased the mean and maximum lifespan in C. elegans. We determined that the lifespan shortening effects of excess zinc required expression of DAF-16, HSF-1 and SKN-1 proteins, whereas the lifespan lengthening effects of the reduced zinc may be partially dependent upon this set of proteins. Furthermore, reducing zinc levels led to greater nuclear localization of DAF-16 and enhanced dauer formation compared to controls, suggesting that the lifespan effects of zinc are mediated in part by the insulin/IGF-1 pathway. Additionally, zinc status correlated with several markers of healthspan in worms, including proteostasis, locomotion and thermotolerance, with reduced zinc levels always associated with improvements in function. Taken together, these data support a role for zinc in regulating both development and lifespan in C. elegans, and that suggest that regulation of zinc homeostasis in the worm may be an example of antagonistic pleiotropy.
High Power Density Performances of SiGe HBT From BiCMOS Technology at W-Band

In this letter, we report load pull measurements on SiGe HBTs at 94 GHz. Nowadays, this kind of device exhibits FMAX above 400 GHz and thus has a growing interest for W-band applications. A load pull test bench is developed for the characterization of this device with special care on architecture and calibration procedure for accurate measurements in 75-110 GHz. The device was characterized under large signal operation showing attractive performance for power amplifier design. A state-of-the-art power density of 18.5 mW/μm2 at 1-dB compression has been obtained at 94 GHz.
Application of Neural Network and Finite Element for Prediction the Limiting Drawing Ratio in Deep Drawing Process

— In this paper back-propagation artificial neural network (BPANN) is employed to predict the limiting drawing ratio (LDR) of the deep drawing process. To prepare a training set for BPANN, some finite element simulations were carried out. die and punch radius, die arc radius, friction coefficient, thickness, yield strength of sheet and strain hardening exponent were used as the input data and the LDR as the specified output used in the training of neural network. As a result of the specified parameters, the program will be able to estimate the LDR for any new given condition. Comparing FEM and BPANN results, an acceptable correlation was found.
Enterprise Architecture in Government: Fad or Future?

Enterprise Architecture (EA) has been promoted as a key tool for transformation and modernization of government. In this paper we study what has driven the use and adoption of the EA concept in the Danish central government. Based on analysis of focus group and 'guru' interviews with government CIO's, enterprise architects, and consultants, as well as extensive document studies, we find that there are two streams in public sector EA programs: a stable element of it-architecture and a fashion driven business architecture element - used in parallel, but with different focus, approach and artifacts. We conclude that EA in government to a large extend is driven by fashion. Finally, we discuss the role of EA in the future and point out that EA can not transform government by itself. Fundamental transformation to the tasks performed in public organizations is only achieved if institutional forces promote transformation.
Amplification of DNA from native populations of soil bacteria by using the polymerase chain reaction

Specific DNA sequences from native bacterial populations present in soil, sediment, and sand samples were amplified by using the polymerase chain reaction with primers for either "universal" eubacterial 16S rRNA genes or mercury resistance (mer) genes. With standard amplification conditions, 1.5-kb rDNA fragments from all 12 samples examined and from as little as 5 micrograms of soil were reproducibly amplified. A 1-kb mer fragment from one soil sample was also amplified. The identity of these amplified fragments was confirmed by DNA-DNA hybridization.
Revisiting Cognitive and Learning Styles in Computer-Assisted Instruction: Not So Useful After All

In a previous systematic review, the author proposed that adaptation to learners’ cognitive and learning styles (CLSs) could improve the efficiency of computer-assisted instruction (CAI). In the present article, he questions that proposition, arguing that CLSs do not make a substantive difference in CAI. To support this argument, the author performed an updated systematic literature search, pooled new findings with those from the previous review, and reinterpreted this evidence with a focus on aptitude–treatment interactions. (An aptitude–treatment interaction occurs when a student with attribute 1 learns better with instructional approach A than with approach B, whereas a student with attribute 2 learns better with instructional approach B). Of 65 analyses reported in 48 studies, only 9 analyses (14%) showed significant interactions between CLS and instructional approach. It seems that aptitude–treatment interactions with CLSs are at best infrequent and small in magnitude. There are several possible explanations for this lack of effect. First, the influence of strong instructional methods likely dominates the impact of CLSs. Second, current methods for assessing CLSs lack validity evidence and are inadequate to accurately characterize the individual learner. Third, theories are vague, and empiric evidence is virtually nonexistent to guide the planning of style-targeted instructional designs. Adaptation to learners’ CLSs thus seems unlikely to enhance CAI. The author recommends that educators focus on employing strong instructional methods. Educators might also consider assessing and adapting to learners’ prior knowledge or allowing learners to select among alternate instructional approaches.
Serum untargeted lipidomic profiling reveals dysfunction of phospholipid metabolism in subclinical coronary artery disease

Purpose: Disturbed metabolism of cholesterol and triacylglycerols (TGs) carries increased risk for coronary artery calcification (CAC). However, the exact relationship between individual lipid species and CAC remains unclear. The aim of this study was to identify disturbances in lipid profiles involved in the calcification process, in an attempt to propose potential biomarker candidates. Patients and methods: We studied 70 patients at intermediate risk for coronary artery disease who had undergone coronary calcification assessment using computed tomography and Agatston coronary artery calcium score (CACS). Patients were divided into three groups: with no coronary calcification (NCC; CACS: 0; n=26), mild coronary calcification (MCC; CACS: 1–250; n=27), or severe coronary calcification (SCC; CACS: >250; n=17). Patients’ serum samples were analyzed using liquid chromatography-mass spectrometry in an untargeted lipidomics approach. Results: We identified 103 lipids within the glycerolipid, glycerophospholipid, sphingolipid, and sterol lipid classes. After false discovery rate correction, phosphatidylcholine (PC)(16:0/20:4) in higher levels and PC(18:2/18:2), PC(36:3), and phosphatidylethanolamine(20:0/18:2) in lower levels were identified as correlates with SCC compared to NCC. There were no significant differences in the levels of individual TGs between the three groups; however, clustering the lipid profiles showed a trend for higher levels of saturated and monounsaturated TGs in SCC compared to NCC. There was also a trend for lower TG(49:2), TG(51:1), TG(54:5), and TG(56:8) levels in SCC compared to MCC. Conclusion: In this study we investigated the lipidome of patients with coronary calcification. Our results suggest that the calcification process may be associated with dysfunction in autophagy. The lipidomic biomarkers revealed in this study may aid in better assessment of patients with subclinical coronary artery disease.
Title : Utilization of the E μ-Myc Mouse to Model Heterogeneity of Therapeutic Response Running Title : Mouse model of human lymphoma therapy heterogeneity

Affiliations: 1 Duke Institute for Genome Sciences and Policy, Duke University Medical Center, Durham, North Carolina, USA 2 Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA 3 Cancer Science Institute of Singapore, National University of Singapore, Singapore 4 The Cancer Institute, Japanese Foundation of Cancer Research, Tokyo, Japan 5 Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, USA 6 Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA 7 Durham Veterans Affairs Medical Center, Durham, North Carolina, USA * co-first authors
Stimulation of amniotic fluid cells by fibroblast growth factor

Amniotic fluid cells were grown in modified Dulbecco's medium with and without the following additives in different combinations: fibroblast growth factor (FGF), dexamethasone (DME), insulin and cyclic GMP under controlled conditions. Experiments were also conducted with varying amounts of foetal calf serum and FGF to establish optimum levels. Comparative growth, determined by measuring 3H‐thymidine uptake, showed that the combination of FGF, DME and insulin in medium with 20 % foetal calf serum produced the highest growth rate. These experiments indicate that the culture time of amniotic fluid cells for chromosome studies could be reduced by 25 %. FGF did not have any deleterious effect on the chromosomes.
Anti-inflammatory and immunomodulatory effects of Spirulina platensis in comparison to Dunaliella salina in acetic acid-induced rat experimental colitis

Abstract Context: Spirulina platensis (SP) is used as a source of protein and vitamin supplement in humans without any significant side-effects. Dunaliella salina (DS) is also regarded as one of the richest natural producers of carotenoid, thus used as a source of antioxidants to protect cells from oxidative damage. Objective: The aim of the present study is to compare the ameliorative effect of Spirulina and Dunaliella in experimental colitis. Materials and methods: Spirulina and Dunaliella were investigated at the same dose of 500 mg/kg body weight for their modulatory effect against acetic-acid induced ulcerative colitis (UC) in rats. The colonic lesion was analyzed by examining macroscopic damage, bloody diarrhea scores, colon weight/length and change in body weight of tested rats. Colon lipid peroxidation and oxidative stress markers were examined by evaluating malondialdehyde (MDA), protein carbonyl (PCO), catalase (CAT), reduced glutathione (GSH) and superoxide dismutase (SOD). Colon inflammatory markers; myeloperoxidase (MPO) and prostaglandin (PGE2) as well as proinflammatory cytokines; tumor necrosis factor (TNF-α) and interleukins (IL-1β, IL-6) were also studied. Results: The colonic mucosal injury, biochemical and histopathologic results suggest that both SP and DS exhibit significant modulatory effect on acetic acid-induced colitis in rats, which may be due to a significant increase of antioxidant enzymes activity and significant inhibition of lipid peroxidation and inflammation markers. Discussion: Results showed that in comparison to Sulfasalazine, SP exhibited better therapeutic and safety profile than DS against acetic acid-induced UC. Conclusion: This study suggests potential benefits of SP and DS in an experimental model of colitis.
VERTa : Exploring a Multidimensional Linguistically-Motivated Metric

This paper describes the first steps in the design and implementation of VERTa, a metric which aims at using and combining a wide variety of linguistic features at lexical, morphological, syntactic and semantic level. A description of the modules developed up to now is provided, as well as the results of some preliminary experiments conducted in order to modify and improve the metric. No formal evaluation has been performed so far because we are in our first stages, but for the sake of comparison we report some results obtained when comparing our current metric performance with IBM’s BLEU.