Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated Mining of the ALMA Archive in the COSMOS Field (A3COSMOS). I. Robust ALMA Continuum Photometry Catalogs and Stellar Mass and Star Formation Properties for ∼700 Galaxies at z = 0.5–6

The rich information on (sub)millimeter dust continuum emission from distant galaxies in the public Atacama Large Millimeter/submillimeter Array (ALMA) archive is contained in thousands of inhomogeneous observations from individual PI-led programs. To increase the usability of these data for studies deepening our understanding of galaxy evolution, we have developed automated mining pipelines for the ALMA archive in the COSMOS field (A3COSMOS) that efficiently exploit the available information for large numbers of galaxies across cosmic time and keep the data products in sync with the increasing public ALMA archive: (a) a dedicated ALMA continuum imaging pipeline, (b) two complementary photometry pipelines for both blind source extraction and prior source fitting, (c) a counterpart association pipeline utilizing the multiwavelength data available (including quality assessment based on machine-learning techniques), (d) an assessment of potential (sub)millimeter line contribution to the measured ALMA continuum, and (e) extensive simulations to provide statistical corrections to biases and uncertainties in the ALMA continuum measurements. Application of these tools yields photometry catalogs with ∼1000 (sub)millimeter detections (spurious fraction ∼8%–12%) from over 1500 individual ALMA continuum images. Combined with ancillary photometric and redshift catalogs and the above quality assessments, we provide robust information on redshift, stellar mass, and star formation rate for ∼700 galaxies at redshifts 0.5–6 in the COSMOS field (with undetermined selection function). The ALMA photometric measurements and galaxy properties are released publicly within our blind extraction, prior fitting, and galaxy property catalogs, plus the images. These products will be updated on a regular basis in the future.
Wasserstein $F$-tests and confidence bands for the Fréchet regression of density response curves

Data consisting of samples of probability density functions are increasingly prevalent, necessitating the development of methodologies for their analysis that respect the inherent nonlinearities associated with densities. In many applications, density curves appear as functional response objects in a regression model with vector predictors. For such models, inference is key to understand the importance of density-predictor relationships, and the uncertainty associated with the estimated conditional mean densities, defined as conditional Frechet means under a suitable metric. Using the Wasserstein geometry of optimal transport, we consider the Frechet regression of density curve responses and develop tests for global and partial effects, as well as simultaneous confidence bands for estimated conditional mean densities. The asymptotic behavior of these objects is based on underlying functional central limit theorems within Wasserstein space, and we demonstrate that they are asymptotically of the correct size and coverage, with uniformly strong consistency of the proposed tests under sequences of contiguous alternatives. The accuracy of these methods, including nominal size, power, and coverage, is assessed through simulations, and their utility is illustrated through a regression analysis of post-intracerebral hemorrhage hematoma densities and their associations with a set of clinical and radiological covariates.
PITCH RANGE MODELLING: LINGUISTIC DIMENSIONS OF VARIATION

This paper reports on a large scale study of pitch range variation across speakers. The experiment examined the relation between a model of pitch range based on pitch level and pitch span with the perception of speaker characteristics. The key to our measure of range is that it is based on clearly defined linguistic targets in speech. These targets included sentence initial peaks, accent peaks, post-accent valleys and sentence final lows. Our data are based on the ratings of 48 listeners judging 32 speakers of British English. The results show that a pitch range model based on linguistic dimensions of variation better captures variation in listeners’ judgements than the well established measures based on speakers’ long term distributional properties of f0, such as 2sds mean, 95th-5th percentile and 90th-10th percentile.
A Survey on Subgraph Counting

Computing subgraph frequencies is a fundamental task that lies at the core of several network analysis methodologies, such as network motifs and graphlet-based metrics, which have been widely used to categorize and compare networks from multiple domains. Counting subgraphs is, however, computationally very expensive, and there has been a large body of work on efficient algorithms and strategies to make subgraph counting feasible for larger subgraphs and networks. This survey aims precisely to provide a comprehensive overview of the existing methods for subgraph counting. Our main contribution is a general and structured review of existing algorithms, classifying them on a set of key characteristics, highlighting their main similarities and differences. We identify and describe the main conceptual approaches, giving insight on their advantages and limitations, and we provide pointers to existing implementations. We initially focus on exact sequential algorithms, but we also do a thorough survey on approximate methodologies (with a trade-off between accuracy and execution time) and parallel strategies (that need to deal with an unbalanced search space).
Identification of Chemical Composition and Antibacterial Properties Juniperus oxycedrus L. subsp. oxycedrus Leaf Essential Oil

The constituents of leaf essential oil of Juniperus oxycedrus L. subsp. oxycedrus (JOO) from wild flora of Gevas-Van in Turkey (Mount Artos) were studied using Gas Chromatography-Mass Spectrometry (GCMS) and their antibacterial activities were assessed. A total of 18 compounds representing 99.98% of leaves oil were identified. The oils of the plant are all dominated by monoterpenes. The main compounds of essential oil in leaves were Limonene (45.77%), α-Pinene (23.94%), β-Phellandrene (10.83%), β-Pinene (5.68%), o-Cymene (3.30%), respectively. The essential oils were tested against Staphylacoccus aureus, Bacillus subtilis, Pseudomanas aeruginosa, Enterecoccus faecalis, Salmonella typhimurium, and Escherichia coli strains using the disc diffusion method. The diameter of the inhibition zones formed for bacteria were measured. The essential oils of JOO found to be active against all of the tested microorganisms and showed the susceptible inhibition zones. However, they were not as much as effective against bacterial strains when compared to ampicillin and ofloxacin. The extracts of JOO showed most significant antibacterial activity against Escherichia coli with inhibition zone diameter of 15 mm. The lowest inhibition zone diameter was Staphylococcus aureus with 11 mm.
A Novel Energy-Efficient Multihop Communication Protocol (EEMCP) for Clustered Heterogeneous Wireless Sensor Networks

Recent research on heterogeneous Wireless Sensor Networks (WSNs) has been studied and employed in many new applications viz., medical monitoring, automotive safety, agriculture precision and many more. In this paper, a novel energy efficient multihop communication protocol (EEMCP) for clustered heterogeneous WSNs has proposed to analyze the network lifetime and stability. EEMCP consider heterogeneous nodes with different initial energy levels and adopt multihop communication approach for data communication from cluster heads to the base station. Simulation results show that EEMCP extends the network lifetime and stability by balancing energy consumption of the network.
FRAGMENT SIZE OF CORN SILAGE ACCORDING TO THE DRY MATTER AND FORAGE HARVESTER ADJUSTMENTS

In Brazil, the best results in milk production are found in the state of Paraná. Such results are reached through genetic selection of the animals and management of their diets, in which whole plant corn silage is widely used. Aiming the silage quality, it was evaluated the influence of dry matter content of the corn culture as forage and the harvester adjustments on the fragment size of whole plant corn silage. The fragment size of two corn hybrids silage (SPEED and 2B688) was evaluated using a 5x3 factorial, with 4 repetitions. The first factor was the harvest time of the plants (105, 108, 112, 118, and 123 days after sowing (DAS)), which determines the forage dry matter (DM) content. The second factor was the harvester adjustments (2, 6.5 and 11mm of theoretical fragment length (TFL)). The DM content did not affect the average fragment size of 2B688. For SPEED, however, the real fragment size decreased as the maturation of plants increased. The conclusion is that the DM content and harvester adjustments can affect the real fragment sizes, according to different plant genotypes. The alterations of the harvester adjustments resulted in different fragment sizes, however, it were different from those indicated by the manufacturer.
Phytochemical screening, HPTLC studies and screening of antioxidant activity of extracts of leaves of Spathodea campanulata.

Objective: Ayurveda is one of the oldest traditional system of medicine practiced widely in India. Toxicity and side effects of allopathic medicines, has led to sudden increase in the number of herbal drug manufactures. The present study aims at phytochemical screening of methanolic and aqueous extracts of leaves of Spathodea campanulata Family Bignoniaceae. The powdered dried leaves were initially subjected to determination of physical constants. They were extracted with water and methanol. Results: Extracts were subjected to various chemical tests and showed presence of steroids, flavonoids, saponins. Further investigation of the extracts by HPTLC is an attempt to deduce the varied composition of methanolic and aqueous extract of Spathodea campanulata. The antioxidant activity was studied by DPPH assay. Both the extracts showed good antioxidant activity. Conclusion: The extracts showed presence of important phytoconstituents as revealed by the chemical tests and HPTLC chromatograms. Further investigations can be carried out to make formulations of these extracts to treat various disease conditions.
OP-BRAI180237 2895..2907

Ming Zhang, Raffaele Ferrari, Maria Carmela Tartaglia, Julia Keith, Ezequiel I. Surace, Uri Wolf, Christine Sato, Mark Grinberg, Yan Liang, Zhengrui Xi, Kyle Dupont, Philip McGoldrick, Anna Weichert, Paul M. McKeever, Raphael Schneider, Michael D. McCorkindale, Claudia Manzoni, Rosa Rademakers, Neill R. Graff-Radford, Dennis W. Dickson, Joseph E. Parisi, Bradley F. Boeve, Ronald C. Petersen, Bruce L. Miller, William W. Seeley, John C. van Swieten, Jeroen van Rooij, Yolande Pijnenburg, Julie van der Zee, Christine Van Broeckhoven, Isabelle Le Ber, Vivianna Van Deerlin, EunRan Suh, Jonathan D. Rohrer, Simon Mead, Caroline Graff, Linn Öijerstedt, Stuart Pickering-Brown, Sara Rollinson, Giacomina Rossi, Fabrizio Tagliavini, William S. Brooks, Carol Dobson-Stone, Glenda M. Halliday, John R. Hodges, Olivier Piguet, Giuliano Binetti, Luisa Benussi, Roberta Ghidoni, Benedetta Nacmias, Sandro Sorbi, Amalia C. Bruni, Daniela Galimberti, Elio Scarpini, Innocenzo Rainero, Elisa Rubino, Jordi Clarimon, Alberto Lleó, Agustin Ruiz, Isabel Hernández, Pau Pastor, Monica Diez-Fairen, Barbara Borroni, Florence Pasquier, Vincent Deramecourt, Thibaud Lebouvier, Robert Perneczky, Janine Diehl-Schmid, Jordan Grafman, Edward D. Huey, International FTD-Genomics Consortium (IFGC),* Richard Mayeux, Michael A. Nalls, Dena Hernandez, Andrew Singleton, Parastoo Momeni, Zhen Zeng, John Hardy, Janice Robertson, Lorne Zinman and Ekaterina Rogaeva
B A C Navigation Map Computing modules BBU pool Base station Vehicle Region Service content : · Cloud resource allocation · Signal processing Vehicular cloud Driving assistance Emergency

Vehicular networks are expected to accommodate a large number of data-heavy mobile devices and multi-application services. Whereas, it faces a significant challenge when we need to deal with the ever-increasing demand of mobile traffic. In this paper, we present a new paradigm of 5G-enabled vehicular networks to improve the network capacity and the system computing capability. We extend the original cloud radio access network (C-RAN) to integrate local cloud services to provide a low-cost, scalable, self-organizing and effective solution. The new C-RAN is named as Enhanced C-RAN (EC-RAN). Cloudlets in EC-RAN are geographically distributed for local services. Furthermore, Device-to-Device (D2D) and Heterogeneous Networks (HetNet) are essential technologies in 5G systems. They can greatly improve the spectrum efficiency and support the large-scale live video streaming in short-distance communications. We exploit the matrix game theoretical approach to operate the cloudlet resource management and allocation. Nash equilibrium solution can be obtained by Karush-Kuhn-Tucker nonlinear complementarity approach. Illustrative results indicate that the proposed resource sharing scheme with the geo-distributed cloudlets can improve the resource utilization and reduce the system power consumption. Moreover, with the integration of the Softwaredefine network (SDN) architecture, a vehicular network can easily reach a globally optimal solution.
Evaluation of Color STIPs for Human Action Recognition

This paper is concerned with recognizing realistic human actions in videos based on spatio-temporal interest points (STIPs). Existing STIP-based action recognition approaches operate on intensity representations of the image data. Because of this, these approaches are sensitive to disturbing photometric phenomena such as highlights and shadows. Moreover, valuable information is neglected by discarding chromaticity from the photometric representation. These issues are addressed by Color STIPs. Color STIPs are multi-channel reformulations of existing intensity-based STIP detectors and descriptors, for which we consider a number of chromatic representations derived from the opponent color space. This enhanced modeling of appearance improves the quality of subsequent STIP detection and description. Color STIPs are shown to substantially outperform their intensity-based counterparts on the challenging UCF sports, UCF11 and UCF50 action recognition benchmarks. Moreover, the results show that color STIPs are currently the single best low-level feature choice for STIP-based approaches to human action recognition.
Title Psychometric properties of the Chalder Fatigue Scale revisited: an exploratory structural equation modeling approach

Objective Previous validation studies of the Chalder Fatigue Scale (CFS) suffer methodological shortcomings. The present study aimed to re-evaluate its psychometric properties using exploratory structural equation modeling (ESEM). Methods A Chinese sample of 1259 community-dwelling residents completed the 11-item Chinese CFS and a variety of health measures (anxiety, depression, exhaustion, sleep disturbance, and quality of life). In addition to traditional confirmatory factor analysis, ESEM was performed to assess the fit of twoand three-factor models using robust maximum likelihood estimation and oblique geomin rotation. Convergent validity of the CFS was examined via associations with five covariates (gender, age, exercise, perceived health, and life event) and the health measures in the ESEM model. Results The ESEM models displayed a superior fit to confirmatory factor models. The three-factor ESEM model showed a satisfactory model fit to the data but not for the two-factor model. The three factors were physical fatigue (three items, a = .800), low energy (four items, a = .821), and mental fatigue (four items, a = .861). The factors exhibited convergent validity with the model covariates and health measures. Conclusion The results demonstrate the satisfactory reliability and convergent validity for the three-factor structure of the CFS as a valid measure of fatigue symptoms in the general population. Future psychometric studies could adopt the ESEM approach as a practical alternative to traditional confirmatory factor analysis.
The Urban Condition; People and Policy in the Metropolis.

Since we are recognizing more and more the relationship between mental health and environment, and since the majority of Americans now live in metropolitan areas, a study of urban problems is clearly relevant to mental health problems. This book is one product of the long-range interdisciplinary study of varied aspects of city life, sponsored by the National Institute of Mental Health. Only a few of the authors are physicians, but they all—biologists, political scientists, lawyers, and even a landscape architect—have something to offer the physician who seeks to understand how the problems of urban living affect his patients. Although the 29 diverse papers cover a wide range, from the feelings of Puerto Rican slum dwellers about their homes to the behavior of rats in crowded cages, and from case histories to theoretical discussions of simulated models, there is a basic unity of attitude and goal. The authors have worked and
TonB of Escherichia coli activates FhuA through interaction with the β-barrel

Mikrobiologie/ Membranphysiologie1 and Organische Chemie2, Universita$ t Tu$ bingen, D-72076 Tu$ bingen, Germany FhuA is a multifunctional protein in the outer membrane of Escherichia coli that actively transports Fe3M–ferrichrome and the antibiotics albomycin and rifamycin CGP 4832, and serves as a receptor for the unrelated phages T5, T1, φ80 and UC-1, colicin M and microcin J25. The energy source for active transport is the proton-motive force of the cytoplasmic membrane, which is required for all FhuA functions except infection by phage T5, and is thought to be mediated to the outer-membrane receptor FhuA by the TonB protein. The crystal structure of FhuA consists of a β-barrel that is closed by a globular domain. The proximal region carries the TonB box (residues 7–11), for which genetic evidence exists that it interacts with the region around residue 160 of TonB. However, deletion of the TonB box along with the globular domain results in a protein, FhuA∆5–160, that still displays TonB-dependent active ferrichrome transport across the outer membrane and confers sensitivity to the FhuA ligands. In this study synthetic nonapeptides identical in sequence to amino acids 150–158, 151–159, 152–160, 153–161 and 158–166 of TonB were shown to reduce ferrichrome transport of cells via wild-type FhuA and the corkless derivative FhuA∆5–160, which suggests that this TonB region is involved in the interaction of TonB with the β-barrel of FhuA. TonB missense mutants reduced the activity of FhuA and FhuA∆5–160. TonB proteins of different Enterobacteriaceae activated FhuA and FhuA∆5–160 to a similar degree. TonB of Pantoea agglomerans displayed low activity in an E. coli tonB mutant. Sequencing of the tonB gene of P. agglomerans revealed differences from E. coli TonB in the region around residue 160 of the deduced protein; these differences might contribute to the lower activity of the P. agglomerans TonB protein when coupled to the E. coli FhuA protein. The data support the theory that the β-barrel receives the energy from the cytoplasmic membrane via TonB and responds to the energy input and thus represents the transporting domain of FhuA.
An Empirical Study of Generation Order for Machine Translation

In this work, we present an empirical study of generation order for machine translation. Building on recent advances in insertion-based modeling, we first introduce a soft order-reward framework that enables us to train models to follow arbitrary oracle generation policies. We then make use of this framework to explore a large variety of generation orders, including uninformed orders, location-based orders, frequency-based orders, content-based orders, and model-based orders. Curiously, we find that for the WMT'14 English $\to$ German translation task, order does not have a substantial impact on output quality, with unintuitive orderings such as alphabetical and shortest-first matching the performance of a standard Transformer. This demonstrates that traditional left-to-right generation is not strictly necessary to achieve high performance. On the other hand, results on the WMT'18 English $\to$ Chinese task tend to vary more widely, suggesting that translation for less well-aligned language pairs may be more sensitive to generation order.
Culture’s Consequences on Coping: Theories, Evidences, and Dimensionalities

While the influence of culture on coping has been implicated conceptually in the stress-coping literature for sometime, empirical research on cross-cultural coping has gained momentum only recently. The past two decades witnessed a significant growth in the research and the knowledge base of culture and coping, as well as an increased call by scholars for more culturally and contextually informed stress-coping paradigms. In view of this critical development, the present article intends to systematically review and take stock of the theoretical and empirical knowledge that has emerged from the cumulative cultural coping research. Specifically, this corpus of literature was summarized and analyzed in terms of (a) theoretical propositions, (b) empirical studies on cross-cultural coping variations, (c) cultural dimensions of coping, and (d) implications for future research. The results evidenced culture’s consequences on coping with respect to the identification of conceptual pathways through which culture affects stresscoping; cultural differences and specificities in coping patterns across national, ethnic, and racial groups; and the differential effects of acculturation, self-construals, and individualism-collectivism on coping. Conceptual and methodological recommendations are offered for future research.
A RETROSPECTIVE AND AGENDA FOR FUTURE RESEARCH ON CHINESE OUTWARD FDIi

Our original paper “The determinants of Chinese Outward Foreign Direct Investment” was the first theoretically based empirical analysis of the phenomenon. It utilised internalisation theory to show that Chinese state-owned firms reacted to home country market imperfections to surmount barriers to foreign entry arising from naivety and the lack of obvious ownership advantages, leveraging institutional factors including favourable policy stimuli. This special theory explained outward foreign direct investment (OFDI) but provided surprises. These includ ed the apparent appetite for risk evinced by these early investors, causing us to conjecture that domestic market imperfections, parti cularly in the domestic capital market, might be responsible. The article stimulated a massive subsequent , largely successful, research effort on emerging country multinationals. In this Retrospective art icle we review some of the main strands of research that ensued, for the insight they offer for the theme of our commentary. Our theme is that theoretical development can only come through embracing yet more challenging, different, and new contexts, and we make suggestions for future research directions. Running title: RESEARCH ON CHINESE OUTWARD FDI