Miracle-dz/UniFAR-FTUs huggingface dataset:
Title Associations between the neighbourhood environment characteristics and physical activity in older adults with specific types of chronic conditions : The ALECS cross-sectional study

Background: Neighbourhood characteristics may influence physical activity (PA), which has positive effects on the health of older adults. Older adults with chronic conditions are less active and possibly more affected by environmental factors than their peers. Understanding neighbourhood characteristics associated with PA specific to older adults with chronic conditions is currently lacking. This cross-sectional study aimed to assess the associations between the neighbourhood environment and various forms of PA in older adults with and without visual impairment, hearing impairment, musculoskeletal disease and/or genitourinary disease. Methods: Neighbourhood environment and PA data were collected in Hong Kong older adults (N = 909) from 124 preselected neighbourhoods stratified for walkability and socioeconomic status. Generalized linear models and zero-inflated negative binomial models with robust standard errors were used to examine associations of perceived neighbourhood environment characteristics, and the moderating effects of having specific chronic conditions, with PA outcomes. Results: Thirteen perceived neighbourhood characteristics were associated with older adults’ PA in the expected direction irrespective of their health condition. Nine neighbourhood characteristics had associations with PA that were dependent on hearing impairment, vision impairment, musculoskeletal disease or genitourinary disease. In general, they were stronger in participants with than without a specific chronic condition. Conclusions: Maximizing the potential for PA in older adults who have lower levels of physical functionality due to chronic conditions may require neighbourhood characteristics specific to these groups.
Mesoscale investigation of natural convection heat transfer from a heated cylinder inside square enclosure

In this paper, we investigated the fluid flow behavior and heat transfer mechanism from a heated square cylinder located at various heights inside an enclosure by the mesoscale numerical method in the range of 10 ≤ Ra ≤ 10. The numerical investigations were carried out using the lattice Boltzmann scheme. The double-population lattice Boltzmann formulation is used as the governing equation. Two-dimensional nine-velocity model is used for the computation of velocity field while either fouror nine-velocity model is used for the computation of temperature field depending on the value of the simulated Rayleigh numbers, Ra. Present study found that the combination of nine and four-velocity model can be applied for the calculation at low Ra without losing its accuracy. However, for the simulation at high Ra, the combination of nineand ninevelocity model is demanded to avoid numerical instability. Computational results demonstrated that the flow pattern, number, size and formation of vortices and also heat transfer mechanism are critically dependence on Ra and the position of heated inner square cylinder in enclosure.
Conditioning systems by radiant surfaces: comparative analysis of thermal ceramic panels versus the conventional systems in a museum

Radiant surface systems for heating and cooling operated by circulating water through capillary tubing provide for the user high comfort levels and significant energy savings. Compared to conventional air conditioning systems, radiant systems reduce up to six times the energy needed for distribution, a better comfort feeling as It does not need to impulse air at uncomfortable speeds, a low acoustic level and a reduction of thermal loads as it is allowed an average inner air temperature with a smaller thermal gradient with the outer air temperature. The performance of these systems is analyzed through a case-study, the Museum of the University of Alicante, where a radiant surface, integrated on a ceramic panel, is placed at the inner layer of the facade of the building. The research results show how important the thermal bridges are in the global energy performance of the building and it is possible to appreciate the energy savings versus the traditional systems.
Scalelength of disc galaxies

We have derived disc scalelengths for 30 374 non-interacting disc galaxies in all five Sloan Digital Sky Survey (SDSS) bands. Virtual Observatory methods and tools were used to define, retrieve and analyse the images for this unprecedentedly large sample classified as disc/spiral galaxies in the LEDA catalogue. Cross-correlation of the SDSS sample with the LEDA catalogue allowed us to investigate the variation of the scalelengths for different types of disc/spiral galaxies. We further investigate asymmetry, concentration and central velocity dispersion as indicators of morphological type, and are able to assess how the scalelength varies with respect to galaxy type. We note, however, that the concentration and asymmetry parameters have to be used with caution when investigating type dependence of structural parameters in galaxies. Here, we present the scalelength derivation method and numerous tests that we have carried out to investigate the reliability of our results. The average r-band disc scalelength is 3.79 kpc, with an rms dispersion of 2.05 kpc, and this is a typical value irrespective of passband and galaxy morphology, concentration and asymmetry. The derived scalelengths presented here are representative for a typical galaxy mass of 1010.8 +/- 0.54 M(circle dot), and the rms dispersion is larger for more massive galaxies. Separating the derived scalelengths for different galaxy masses, the r-band scalelength is 1.52 +/- 0.65 kpc for galaxies with total stellar mass 109-1010 M(circle dot) and 5.73 +/- 1.94 kpc for galaxies with total stellar mass between 1011 and 1012 M(circle dot). Distributions and typical trends of scalelengths have also been derived in all the other SDSS bands with linear relations that indicate the relation that connect scalelengths in one passband to another. Such transformations could be used to test the results of forthcoming cosmological simulations of galaxy formation and evolution of the Hubble sequence.
Algorithm 1 Pseudo-code of the update of CA and DA in Two Arch .

Many-objective optimization problems (ManyOPs) refer, usually, to those multi-objective problems (MOPs) with more than three objectives. Their large numbers of objectives pose challenges to multi-objective evolutionary algorithms (MOEAs) in terms of convergence, diversity, and complexity. Most existing MOEAs can only perform well in one of those three aspects. In view of this, we aim to design a more balanced MOEA on ManyOPs in all three aspects at the same time. Among the existing MOEAs, the two-archive algorithm (Two Arch) is a lowcomplexity algorithm with two archives focusing on convergence and diversity separately. Inspired by the idea of Two Arch, we propose a significantly improved two-archive algorithm (i.e., Two Arch2) for ManyOPs in this paper. In our Two Arch2, we assign different selection principles (indicator-based and Paretobased) to the two archives. In addition, we design a new Lp-normbased (p < 1) diversity maintenance scheme for ManyOPs in Two Arch2. In order to evaluate the performance of Two Arch2 on ManyOPs, we have compared it with several MOEAs on a wide range of benchmark problems with different numbers of objectives. The experimental results show that Two Arch2 can cope with ManyOPs (up to 20 objectives) with satisfactory convergence, diversity, and complexity.
White Paper: Multicenter Patient Records Research: Security Policies and Tools

The expanding health information infrastructure offers the promise of new medical knowledge drawn from patient records. Such promise will never be fulfilled, however, unless researchers first address policy issues regarding the rights and interests of both the patients and the institutions who hold their records. In this article, the authors analyze the interests of patients and institutions in light of public policy and institutional needs. They conclude that the multicenter study, with Institutional Review Board approval of each study at each site, protects the interests of both. "Anonymity" is no panacea, since patient records are so rich in information that they can never be truly anonymous. Researchers must earn and respect the trust of the public, as responsible stewards of facts about patients' lives. The authors find that computer security tools are needed to administer multicenter patient records studies and describe simple approaches that can be implemented using commercial database products.
Quantum-behaved Particle Swarm Optimization with Nelder-Mead Simplex Search Method

This paper proposes a novel hybrid algorithm based on quantum-behaved particle swarm optimization (QPSO) algorithm and Nelder-Mead (NM) simplex search method for continuous optimization problems, abbreviated as QPSO-NM. This hybrid algorithm is very easy to be implemented since it does not require continuity and differentiability of objective functions, and it also combines powerful global search ability of QPSO with precise local search of NM simplex method. In a suite of the first 10 test functions taken from CEC2005, QPSO-NM algorithm is compared with other four popular competitors and six special algorithms that are dedicated to solve CEC2005 test function suite. It is showed by the computational results that QPSO-NM outperforms other algorithms in terms of both convergence rate and solution accuracy. The proposed algorithm is extremely effective and efficient at locating optimal solutions for continues optimization.
Origin and field of expertise of experts involved in the consultation process Country Field of expertise Diabetes primary care Diabetes secondary care

The European Forum for Primary Care (EFPC) held a consultation process among European experts and identified the elements considered to be essential for high quality diabetes care. More attention should go to diabetes prevention. An interdisciplinary team should provide comprehensive shared care, focused on patient empowerment. The further development of ICT is important to facilitate communication and quality monitoring. The EFPC argues the case for a primary care-centred approach to ensure equity and cost-effectiveness. But this is only possible with a strong primary care infrastructure. In many European countries
Genomic research and applications in the duck (Anas platyrhynchos)

As a major natural reservoir of influenza virus and an important food source, the duck is of great biological interest, e.g. in the area of host-pathogen interactions. Recently, preliminary genetic and cytogenetic maps of the duck have become available, providing for the first time a glimpse at a comparative map between the duck and chicken. These genetic tools have been used to detect QTLs related to duck growth, carcass and meat quality traits. However, molecular genetic research in the duck is only in its infancy. In the future we can expect the development of new duck resources, including a high-density genetic map, detailed comparative maps with the chicken and other vertebrates - and given the pace of genomics, possibly a genome sequence. These new resources will be used to evaluate the genetic diversity of global duck breeds, to define genetic markers to increase the quantity and quality of egg and meat products, and to aid in the battle against infectious diseases, such as avian influenza.
Multiple close‐range image matching based on a self‐adaptive triangle constraint

Reliable image matching is an essential and difficult task in digital photogrammetry and computer vision. Possible problems from geometric distortions, illumination changes, scale changes and difficult texture conditions will result in matching ambiguity, especially for close‐range image matching. This paper presents a multiple close‐range image matching method for surface reconstruction based on a self‐adaptive triangle constraint. This method features two aspects. First, the triangles constructed from the previously matched interest points provide strong geometric constraints for the subsequent point matching combined with gradient orientation and disparity constraints. The dynamic update of the triangulation adapts automatically to the changes of image textures. Secondly, a consistency check in object space is performed to remove possible mismatches. Using three sets of actual triple overlapped close‐range images for the experiment, the results revealed that the proposed method provides improved matching reliability.
Influence of phytogenic feed additives and prebiotic in vegetable protein based diet on broiler performance

This study was conducted to determine the effect of phytogenic feed additive and prebiotic on vegetable protein base diet in broiler performance. A total of 90 chicks (Cobb-500) were weighted and randomly assigned to the three treatment groups (T o , T 1 and T 2 ) and supplemented with either phytogenic feed additives or prebiotic and reared for 28 days. Data on live body weight, body weight gain, feed intake and feed conversion (FC) were taken at weekly interval. Results revealed that significant ( P 0.05 ) differences were found in live weight gain among the treatment groups on weekly intervals along the whole experimental period. However, significant differences ( P<0.05 ) were evident on cumulative weight gain at 3 rd and 4 th weeks of age. In case of feed intake at the age of 3 rd and 4 th weeks, significant ( P<0.05 ) differences were obtained with decreased feed intake in both phytogenic feed additive and prebiotic supplemented groups comparing to the control group. In case of feed conversion (FC), there were significant ( P<0.05 ) differences among the groups on 1 st week and 4 th week of age. Best FC was accounted for prebiotic supplemented group along the whole experimental period. The survivability rates were 96.67%, 100% and 100% in control group, phytogenic feed additive and prebiotic supplemented group respectively. Results finally showed that vegetable protein when supplemented with phytogenic prebiotic feed additives and prebiotic c an additive beneficial effect on performance of when compared to non-supplemented control diet. So, ration using vegetable protein mixed with phytogenic feed additives or prebiotic can be recommended for broiler. Progressive Agriculture 28 (4): 323-330, 2017
Design and Testing of Millimeter-Wave / Subterahertz Circuits and Systems

h AS TRANSISTORS GET smaller following the trend of Moore’s law, interconnects between them are unable to shrink as fast. As a result, there have been many research efforts seeking alternative technologies to reduce interconnection delay. An approach utilizing 3-D topologies is one of the strong contenders, and 3-D stacked integrated circuits (SICs) have become increasingly important in the semiconductor industry in the past decade. With the progress of the development in multidie stacking and high-bandwidth packaging technologies utilizing through-silicon-via (TSV), fine-pitch silicon-tosilicon microbump, and thinned silicon, 3-D SICs have achieved an unprecedented level of integration density. They enable a microscale computing network with enhanced system performance, bandwidth, power efficiency, and cost reduction [1]. Despite many potential advantages, a significant level of yield loss along the manufacturing process steps and the consequent increase in test cost are impeding economic viability and holding back the 3-D SIC production [1]. Because of the defects generated during the stacking process, the testing of 3-D SICs poses new kinds of challenges that do not exist in the testing of 2-D or 2.5-D ICs. With the dramatic increase in the density of TSV which can be easily more than 10 000/mm2, the testing has become one of the major challenges in 3-D SIC fabrication. Testing ensures the functionality with the quality of ‘‘known good die (KGD)’’ prior to stacking and ‘‘known good stack (KGS)’’ after silicon thinning, alignment, and bonding process. As shown in Figure 1, multiple test insertions are required to screen the defects in TSVs and circuits as early as possible [1], [2], and hence it is critical for multidies to be testable before and after stacking. With a postbond testability, the defects in TSVs and circuits generated during the stacking can be screened before proceeding to the next manufacturing stage to improve the yield and reduce the manufacturing cost. However, the postbond testing of 3-D SIC remains as one of the biggest challenges in 3-D SIC technology largely because of the challenges in reliable probing. New methods including test architecture optimization, test scheduling optimization, built-in self-test (BIST) techniques, and standardized die-level test interfaces have been proposed [1]. One interesting approach is using millimeter-wave Editor’s notes: As 3-D ICs gain popularity in the industry, finding an efficient way to test the stacked chips is becoming a new challenge. The authors of this paper present a contact-free testing method using millimeter-wave wireless I/Os with microbump antennas. This method has the potential to reduce the latency and cost of 3-D IC testing. VJonghae Kim, Qualcomm Inc.
Highlights from the study : Quantification of the mutagenic potency of glycidol and investigation of involved DNA repair mechanism

Glycidol (Gly) is an electrophilic low-molecular weight epoxide that is classified by IARC as probably carcinogenic to humans. Humans might be exposed to Gly from food, e.g. refined vegetable oils, where Gly has been found as a food process contaminant. It is therefore important to investigate and quantify the genotoxicity of Gly as a primary step towards cancer risk assessment of the human exposure. Here, quantification of the mutagenic potency per exposure dose (AUC: area under the concentration-time curve) of Gly has been performed in Chinese hamster ovary (CHO) cells, using the HPRT assay. The dose of Gly was estimated in the cell exposure medium by trapping Gly with a strong nucleophile, cob(I)alamin, to form stable cob(I)alamin adducts for analysis by LC-MS/MS. Gly was stable in the exposure medium during the time for cell treatment, and thus the dose in vitro is the initial concentration × cell treatment time. Gly induced mutations in the hprt-gene at a rate of 0.08 ± 0.01 mutations/10 5 cells/mMh. Through comparison with the effect of ionizing radiation in the same system a relative mutagenic potency of 9.5 rad-eq./mMh was obtained, which could be used for comparison of genotoxicity of chemicals and between test systems and also in procedures for quantitative cancer risk assessment. Gly was shown to induce strand breaks, that were repaired by base excision repair. Furthermore, Gly-induced lesions, present during replication, were found to delay the replication fork elongation. From experiments with repair deficient cells, homologous recombination repair and the ERCC1-XPF complex were indicated to be recruited to support in the repair of the damage related to the stalled replication elongation. The type of DNA damage responsible for the mutagenic effect of Gly could not be concluded from the present study.
Title The Variety Expanding Growth Model with Change in Substitution ( Complementary ) among Goods

Grossman and Helpman (1991) show that the spillover e#ect sustains the expansion of product variety. Considering the current economy, however, the conclusion seems to be over optimistic. While they assume that the elasticity of substitution among goods is constant, we assume it is a function of the variety of goods. We show that, when products become more substitutive as the variety increases, economic growth stops despite the spillover e#ect. Gali (1995) does not consider the case that products become more complementary as the variety increases. While, we show that, when they become complementary, the economy suddenly
Schizosaccharomyces pombe Genome-wide analysis of poly ( A ) site selection in Material Supplemental

Polyadenylation of pre-mRNAs, a critical step in eukaryotic gene expression, is mediated by cis elements collectively called the polyadenylation signal. Genome-wide analysis of such polyadenylation signals was missing in fission yeast, even though it is an important model organism. We demonstrate that the canonical AATAAA motif is the most frequent and functional polyadenylation signal in Schizosaccharomyces pombe. Using analysis of RNA-Seq data sets from cells grown under various physiological conditions, we identify 3′ UTRs for nearly 90% of the yeast genes. Heterogeneity of cleavage sites is common, as is alternative polyadenylation within and between conditions. We validated the computationally identified sequence elements likely to promote polyadenylation by functional assays, including qRT-PCR and 3′RACE analysis. The biological importance of the AATAAA motif is underlined by functional analysis of the genes containing it. Furthermore, it has been shown that convergent genes require trans elements, like cohesin for efficient transcription termination. Here we show that convergent genes lacking cohesin (on chromosome 2) are generally associated with longer overlapping mRNA transcripts. Our bioinformatic and experimental genome-wide results are summarized and can be accessed and customized in a user-friendly database Pomb(A).
SIPEC: Systematic identification of self-interacting proteins with ensemble classifiers using evolutionary information

As the center of most biological processes, Protein-Protein Interactions (PPIs) constitute the basis of the formation of biological mechanisms. Deregulation of PPIs results in many diseases including cancer and pernicious anemia. As a special type of PPIs, the Self-interacting Proteins (SIPs) occupy an important position in them. Although a large number of SIPs data have been generated by experimental methods, currently-detected self-interacting proteins cover only a small part of the complete network. Therefore, there is a great need for computational methods to efficiently and accurately predict SIPs. In the present study, we introduce a novel computational method based on protein sequence information to predict SIPs. More specifically, each protein sequence is converted to Position-Specific Scoring Matrix (PSSM) containing the evolutionary information. And then an effective feature extraction approach, namely, Auto Covariance (AC) is employed to construct a feature set. Finally, the improved Rotation Forest (RF) model is used to remove the noise of the feature set and give prediction results. When performed on yeast and human SIPs data sets, the proposed method can achieve high accuracies of 80.50% and 93.70%, respectively. Our method also shows a good performance when compared with the SVM classifier and other existing methods. Consequently, the proposed method can be considered to be a promising model to predict SIPs. In addition, for the purpose of further research in the future, the user-friendly web server is freely available to academic use at http://www.proteininteraction. cn/sip/.