cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Relational and reputational resources in the governance of top-down asylum seekers’ reception in Italian rural areas
Creators: name: Caponio, Tiziana
name: Donatiello, Davide
name: Ponzo, Irene
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Science Policy

description: The dramatic increase in the number of forced migrants and asylum seekers in Europe in the past decade, and the national redistribution policies aimed at diffusing the ‘burden’ of reception across national territories, have led mayors in small towns in rural areas to face the challenges of reception in their communities. In this study, we analyse how this challenge was dealt with in three mountain valleys in the Alpine area of Turin, in the North-West of Italy, where in 2014 the prefecture opened emergency shelters overnight and without consulting with the municipalities. Results from our research show that, in contrast to the thesis that mayors are pragmatic problem-solvers because of their proximity to the issues at hand, the local governance of asylum seekers’ reception is the result of the mobilization of relational and reputational resources on the part of community leaders. Mayors of small towns in rural areas will proactively engage on migrants’ reception only insofar as they can rely on and are willing to mobilize such crucial resources. When mayors fall short of relational and reputational resources, community leaders can eventually fill the gaps and contribute to ‘embedding’ national policies in the local community.
Development of a near-infrared wide-field integral field unit by ultra-precision diamond cutting
Creators: name: Kushibiki, Kosuke
name: Ozaki, Shinobu
name: Takeda, Masahiro
name: Hosobata, Takuya
name: Yamagata, Yutaka
name: Morita, Shinya
name: Tsuzuki, Toshihiro
name: Nakagawa, Keiichi
name: Saiki, Takao
name: Ohtake, Yutaka
name: Mitsui, Kenji
name: Okita, Hirofumi
name: Kitagawa, Yutaro
name: Kono, Yukihiro
name: Motohara, Kentaro
name: Takahashi, Hidenori
name: Konishi, Masahiro
name: Kato, Natsuko
name: Koyama, Shuhei
name: Chen, Nuo
Publisher: name: arXiv
Year: 2024
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Integral Field Spectroscopy (IFS) is an observational method to obtain spatially resolved spectra over a specific field of view (FoV) in a single exposure. In recent years, near-infrared IFS has gained importance in observing objects with strong dust attenuation or at high redshift. One limitation of existing near-infrared IFS instruments is their relatively small FoV, less than 100 arcsec$^2$, compared to optical instruments. Therefore, we have developed a near-infrared (0.9-2.5 $\mathrmμ$m) image-slicer type integral field unit (IFU) with a larger FoV of 13.5 $\times$ 10.4 arcsec$^2$ by matching a slice width to a typical seeing size of 0.4 arcsec. The IFU has a compact optical design utilizing off-axis ellipsoidal mirrors to reduce aberrations. Complex optical elements were fabricated using an ultra-precision cutting machine to achieve RMS surface roughness of less than 10 nm and a P-V shape error of less than 300 nm. The ultra-precision machining can also simplify alignment procedures. The on-sky performance evaluation confirmed that the image quality and the throughput of the IFU were as designed. In conclusion, we have successfully developed a compact IFU utilizing an ultra-precision cutting technique, almost fulfilling the requirements.
description: 24 pages, 18 figures, 7 tables. Accepted for publication in JATIS
Stepwise Signal Extraction via Marginal Likelihood
Creators: name: Du, Chao
name: Chu-Lan Michael Kao
name: S. C. Kou
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: This article studies the estimation of a stepwise signal. To determine the number and locations of change-points of the stepwise signal, we formulate a maximum marginal likelihood estimator, which can be computed with a quadratic cost using dynamic programming. We carry out an extensive investigation on the choice of the prior distribution and study the asymptotic properties of the maximum marginal likelihood estimator. We propose to treat each possible set of change-points equally and adopt an empirical Bayes approach to specify the prior distribution of segment parameters. A detailed simulation study is performed to compare the effectiveness of this method with other existing methods. We demonstrate our method on single-molecule enzyme reaction data and on DNA array comparative genomic hybridization (CGH) data. Our study shows that this method is applicable to a wide range of models and offers appealing results in practice. Supplementary materials for this article are available online.
Combining symmetry-separated and bent-bond spin-coupled models of cylindrically symmetric multiple bonding
Creators: name: Penotti, Fabio E.
name: Cooper, David L.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biological Sciences
subject: Chemistry
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Medicine
subject: Physics
subject: Biochemistry
subject: Biophysics

description: We examine the symmetry properties of spin-coupled (or full generalised valence bond) wavefunctions for C2H2 and N2. The symmetry-separated (σ,π) and bent-bond (ω) solutions are totally symmetric only in the D4h and D3h subgroups of D∞h, respectively. Two fairly different strategies are explored for imposing full cylindrical symmetry, with one of them (small nonorthogonal configuration interaction calculations involving rotated versions of the wavefunction) turning out to be somewhat preferable on energetic grounds to the other one (application of additional spin constraints to a single spatial configuration). It is also shown that mixing together the cylindrically symmetric symmetry-separated and bent-bond spin-coupled models leads to relatively small energy improvements unless the valence orbitals in each type of configuration are reoptimised.
Large-Scale Multiple Testing of Correlations
Creators: name: T. Tony Cai
name: Weidong Liu
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy

description: Multiple testing of correlations arises in many applications including gene coexpression network analysis and brain connectivity analysis. In this article, we consider large-scale simultaneous testing for correlations in both the one-sample and two-sample settings. New multiple testing procedures are proposed and a bootstrap method is introduced for estimating the proportion of the nulls falsely rejected among all the true nulls. We investigate the properties of the proposed procedures both theoretically and numerically. It is shown that the procedures asymptotically control the overall false discovery rate and false discovery proportion at the nominal level. Simulation results show that the methods perform well numerically in terms of both the size and power of the test and it significantly outperforms two alternative methods. The two-sample procedure is also illustrated by an analysis of a prostate cancer dataset for the detection of changes in coexpression patterns between gene expression levels. Supplementary materials for this article are available online.
An Adaptive Exchange Algorithm for Sampling From Distributions With Intractable Normalizing Constants
Creators: name: Faming Liang
name: Ick Hoon Jin
name: Qifan Song
name: Liu, Jun S.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Computational Biology

description: Sampling from the posterior distribution for a model whose normalizing constant is intractable is a long-standing problem in statistical research. We propose a new algorithm, adaptive auxiliary variable exchange algorithm, or, in short, adaptive exchange (AEX) algorithm, to tackle this problem. The new algorithm can be viewed as a MCMC extension of the exchange algorithm, which generates auxiliary variables via an importance sampling procedure from a Markov chain running in parallel. The convergence of the algorithm is established under mild conditions. Compared to the exchange algorithm, the new algorithm removes the requirement that the auxiliary variables must be drawn using a perfect sampler, and thus can be applied to many models for which the perfect sampler is not available or very expensive. Compared to the approximate exchange algorithms, such as the double Metropolis-Hastings sampler, the new algorithm overcomes their theoretical difficulty in convergence. The new algorithm is tested on the spatial autologistic and autonormal models. The numerical results indicate that the new algorithm is particularly useful for the problems for which the underlying system is strongly dependent. Supplementary materials for this article are available online.
Estimation and Testing of Varying Coefficients in Quantile Regression
Creators: name: Xingdong Feng
name: Liping Zhu
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy

description: In this article, we establish a novel connection between the null hypothesis H0 on the coefficients and a rank-reducible form of the varying coefficient model in quantile regression. We use B-splines to approximate the varying coefficients in the rank-reducible model, and make use of the fact that the null hypothesis H0 implies a unidimensional structure of a transformed coefficient matrix for the B-spline basis functions. By evaluating the unidimensional structure, we alleviate the difficulty of testing such hypotheses commonly considered in varying coefficient quantile models. We demonstrate through numerical studies that the proposed method can be much more powerful than the rank score test which is widely used in the quantile regression literature. Supplementary materials for this article are available online.
Exploring the Techno-Corporate Gap. Context, Factors of Implementation and Perspectives
Creators: name: Rangone, Adalberto
Publisher: name: Economia Aziendale Online -
Year: 2024
Subjects: Techno-corporate Gap, Corporate Governance, Corporate Innovation, Firm restructuring, Strategy Poker

description: The techno-corporate gap is a topic of growing relevance in business administration and more generally economic literature, as companies must face the emerging challenges of technological evolution and innovation. Referring to the discrepancy or distance between the technological sector and the world of organizations, the techno-corporate gap represents the difference in terms of speed, adoption, and understanding of new technologies between companies and the innovations emerging on the market today. This concept recalls the need for in-depth investigations of current trends as well as the company's propensity for innovation which, at the same time, involves the review of company strategies, new organizational formulations, and updates on the subject of accounting control. This work aims to approach these aspects precisely, from deepening the concept’s intrinsic meaning to define new analytical horizons.
description: Economia Aziendale Online -, Vol 15, No 1 (2024): ISSUE 1/2024
An Adaptive Exchange Algorithm for Sampling From Distributions With Intractable Normalizing Constants
Creators: name: Faming Liang
name: Ick Hoon Jin
name: Qifan Song
name: Liu, Jun S.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Computational Biology

description: Sampling from the posterior distribution for a model whose normalizing constant is intractable is a long-standing problem in statistical research. We propose a new algorithm, adaptive auxiliary variable exchange algorithm, or, in short, adaptive exchange (AEX) algorithm, to tackle this problem. The new algorithm can be viewed as a MCMC extension of the exchange algorithm, which generates auxiliary variables via an importance sampling procedure from a Markov chain running in parallel. The convergence of the algorithm is established under mild conditions. Compared to the exchange algorithm, the new algorithm removes the requirement that the auxiliary variables must be drawn using a perfect sampler, and thus can be applied to many models for which the perfect sampler is not available or very expensive. Compared to the approximate exchange algorithms, such as the double Metropolis-Hastings sampler, the new algorithm overcomes their theoretical difficulty in convergence. The new algorithm is tested on the spatial autologistic and autonormal models. The numerical results indicate that the new algorithm is particularly useful for the problems for which the underlying system is strongly dependent. Supplementary materials for this article are available online.
An Adaptive Exchange Algorithm for Sampling from Distributions with Intractable Normalizing Constants
Creators: name: Faming Liang
name: Qifan Song
name: Liu, Jun S.
name: Ick Hoon Jin
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Computational Biology
subject: Science Policy
subject: Cancer
subject: Mathematics
subject: FOS: Mathematics
subject: Information and Computing Sciences
subject: Biological Sciences
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biotechnology
subject: Molecular Biology

description: Sampling from the posterior distribution for a model whose normalizing constant is intractable is a long-standing problem in statistical research. We propose a new algorithm, adaptive auxiliary variable exchange algorithm, or in short, adaptive exchange (AEX) algorithm, to tackle this problem. The new algorithm can be viewed as a MCMC extension of the exchange algorithm (Murray, Ghahramani and MacKay, 2006), which generates auxiliary variables via an importance sampling procedure from a Markov chain running in parallel. The convergence of the algorithm is established under mild conditions. Compared to the exchange algorithm, the new algorithm removes the requirement that the auxiliary variables must be drawn using a perfect sampler, and thus can be applied to many models for which the perfect sampler is not available or very expensive. Compared to the approximate exchange algorithms, such as the double Metropolis-Hastings sampler (Liang, 2010), the new algorithm overcomes their theoretical difficulty in convergence. The new algorithm is tested on the spatial autologistic and autonormal models. The numerical results indicate that the new algorithm is particularly useful for the problems for which the underlying system is strongly dependent.
Synthesis and Characterization of Ultra-Small Gold Nanoparticles: Midatech Pharma MidacoreTM Platform
Creators: name: Ferreira, Avelino
name: Schmidt, Patricia Pérez
name: Cognet, Valentin
name: López, Diana
name: Perera, Ibon
name: Rodríguez, Miguel
name: Africa Barrientos
Publisher: name: Zenodo
Year: 2020

description: Gold nanoparticles (GNP) are a platform of interest with a broad range of applications in curative and preventive medicine (e.g.: cancer: tumor active or passive targeting, vaccine: antigen carrier). The system allows the presentation in high quantity of virtually any type of organic molecule on the surface of a gold core. The multivalent presentation of ligands, such as carbohydrates or proteins, can trigger a cluster effect, which allows to overcome the low affinity of the individual ligands towards their receptors.
Creating a fair model to predict psychological distress. An annotated example of bias identification and mitigation techniques.
Creators: name: Evans, Catrin
name: Trust, The Wellcome
Publisher: name: F1000 Research Limited
Year: 2024

description: Authors: Emily Dorne, Peter Bull, Katie Wetstone, and Hannah Moshontz de la Rocha. Driven Data emily@drivendata.org 



This document was created for use by data scientists and researchers who are analysing research and/or health data, which may not represent the population their output will be applied to. It was developed as part of Wellcome’s effort to understand the assessment and application of computational approaches to bias mitigation - and, most importantly, the questions which researchers should be asking of their approach during the development process.  



The goal of this case study is thus to illustrate how a researcher could measure, mitigate, and communicate algorithmic bias. This example analysis demonstrates the building process of a predictive model for mental health, and how one might assess the degree of bias in the model’s predictions and go through an iterative set of steps to mitigate that bias. 



While the context is hypothetical, the data, methods, and results are all real. Throughout this example, you'll find notes which provide deeper context, resources to learn more, links to packages and tools, and additional questions that would be relevant in other contexts.
НОРМЫ И СТАНДАРТЫ, КАСАЮЩИЕСЯ ЭКОЛОГИЧЕСКИХ ТРЕБОВАНИЙ К СТРОИТЕЛЬСТВУ.
Creators: name: Азимова, Л.И.
Publisher: name: Zenodo
Year: 2024

description: В данной статье рассматриваются нормы и стандарты, касающиеся экологических требований к строительству. В статье анализируется значимость этих норм, а также их роль в улучшении качества жизни населения и снижении экологического ущерба. Особое внимание уделяется международным системам сертификации, таким как LEED, BREEAM и другие.
Modeling of time-resolved light extinction and its applications to visibility management in the Lower Fraser Valley of British Columbia, Canada
Creators: name: So, Rita
name: Vingarzan, Roxanne
name: Jones, Keith
name: Pitchford, Marc
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Information and Computing Sciences
subject: Biological Sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Earth and Environmental Sciences

description: Fine particulate matter (PM2.5) is the dominant cause of atmospheric visibility degradation in the Lower Fraser Valley (LFV) of British Columbia, where poor visibility due to air pollution is of concern. The spatial coverage of the current LFV visibility monitoring network is relatively low, with large parts of the airshed not being represented. Given the desire on the part of local and regional governments to manage visibility in the LFV airshed, the development of a method that allows near real-time estimation of 1-hr light extinction data from the dense network of PM measurements would be highly beneficial. This paper describes a simple linear algorithm, developed using the Hybrid method, to estimate near real-time 1-hr total light extinction at four monitoring sites in the LFV. Model inputs include ambient hourly PM2.5, NO2, relative humidity measurements, and historical monthly-averaged aerosol composition. The results indicate that the developed model can provide relatively accurate and time-resolved estimates of extinction in regions where visibility is not being monitored, thus extending the spatial coverage of the regional visibility monitoring network. The model was also applied to a number of policy-related scenarios to inform visual air quality management in the study area. Results indicated that in order to achieve a perceptible improvement (1.0 deciview) relative to baseline average visibility conditions in the LFV airshed, average ambient PM2.5 concentration would have to decrease by 17% from baseline conditions. Furthermore, to achieve a 20% increase in the number of daylight hours with “excellent” visibility, average PM2.5 would need to be reduced by 30%. Model simulations also indicated that “across-the-board” emission reduction policies would result in greater improvements for the “worst 20%” visibility conditions than for the “best 20%” conditions, suggesting that reducing the number of “poor” visibility days would be easier than improving the number of “excellent” visibility days.Implications: This study describes the development of a model using standard air quality monitoring data (PM2.5, NO2, relative humidity, and PM speciation profiles) to provide near real-time estimates of time-resolved extinction in regions where direct optical monitoring is not available. Applications of the model include extension of spatial coverage of a visibility network, testing various air quality scenarios to inform visibility management, and as a tool for setting visual air quality standards in impacted airsheds.
ECONOMIC ANALYSIS OF CROPS PRODUCTION USING A TRICKLE IRRIGATION SYSTEM
Creators: name: Khalifa, Walid M. A.
Publisher: name: TuEngr Group
Year: 2020
Subjects: Save water
Irrigation water management
Trickle irrigation, Field crops, Crops rotations
Crop productivity
Economics
Benefit-cost ratio (B/C).

description: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11, 8, 11A8J: 1-13
ROLES OF HUMAN RESOURCE PRACTICES IN ENHANCING EMPLOYEES RETENTION: EVIDENCE FROM BANKING SECTOR OF SHAHEED BENAZIRABAD, PAKISTAN
Creators: name: Muhammad Hafeez, Irum Jamali, Altaf Hussain, Ida Md. Yasin, Maeenuddin, Naveed Wahid, Ashfaq Ahmad, Zuhair Abbas
Publisher: name: TuEngr Group
Year: 2020
Subjects: Training and development
Rewards and compensation
Working environment
Employee Retention
Human resource management.

description: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11, 8, 11A8L: 1-8
SMART IOT PONTOON MANEUVERING ALONG RIVER CURRENTS
Creators: name: Piya Sripakorn, Kritsada Anantakarn
Publisher: name: TuEngr Group
Year: 2020
Subjects: Smart river
Smart water currents
IoT pontoon
Internet of Thing (IoT)
Hydrological survey
Bathymetry survey
Echo-sounder
Smart pontoon
GNSS
RTK
DOL.

description: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11, 8, 11A8K: 1-11
Understanding Bank Customers' Awareness of Green Banking and their Perceptions of Value Orientation: A Case Study of Standard Chartered Bank Zambia
Creators: name: Chuma, Casius
Publisher: name: Economia Aziendale Online -
Year: 2024
Subjects: Awareness, Green Banking, Sustainable Banking, Sustainability, Value Orientation, Stakeholder theory

description: In the Zambian market, green banking is a relatively new concept, and Standard Chartered Bank Zambia has taken the initiative to embrace sustainable banking practices.  While the concern for green banking practices is increasing around the globe, green banking is not only limited in terms of practice but also in terms of awareness, as various studies suggest that customers are less aware about the green banking concept adopted by banks.  This highlights the need for a two-way effort involving banks and customers to effectively implement sustainable/green banking.  In this context, the study aims to assess the level of customer awareness regarding green banking and their perceptions of Standard Chartered Bank Zambia's value orientation. The study adopts a case study research design, focusing on Standard Chartered Bank as the only bank that has committed to integrating sustainability into its banking business.  Data collection involved mixed methods, including a survey questionnaire targeting bank customers and a document review to triangulate customer perceptions of the bank's value orientation.  Due to privacy constraints, the study employed purposive and convenience sampling techniques for selecting participants from the bank's customer population. The study findings reveal a low level of awareness among surveyed customers, indicating the need for the bank to increase awareness through enhanced communication efforts.  Despite the surveyed bank customers perceiving the bank as prioritising profits over stakeholders' needs, the study concludes that the bank follows a stakeholder-oriented approach, as evidenced by its commitment to employee welfare, social initiatives, and environmental protection. The limited awareness of green banking practices among customers may contribute to their negative perceptions, presenting an opportunity for the bank to address these concerns by improving awareness.
description: Economia Aziendale Online -, Vol 15, No 1 (2024): ISSUE 1/2024
Interest organizations across economic sectors: explaining interest group density in the European Union
Creators: name: Berkhout, Joost
name: Carroll, Brendan J.
name: Caelesta Braun
name: Chalmers, Adam W.
name: Destrooper, Tine
name: Lowery, David
name: Otjes, Simon
name: Rasmussen, Anne
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Developmental Biology
subject: Biological Sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Pharmacology

description: ABSTRACTThe number of interest organizations (density) varies across policy domains, political issues and economic sectors. This shapes the nature and outcomes of interest representation. In this contribution, we explain the density of interest organizations per economic sector in the European Union on the basis of political and economic institutional factors. Focusing on business interest representation, we show that economic institutions structure the ‘supply’ of interest organizations by affecting the number of potential constituents, the resources available for lobbying and the geographical level of collective action of businesses. In contrast, we do not find consistent evidence that political institutions produce ‘demand’ for interest organizations by making laws, developing public policy or spending money. This is in contrast to the extensive evidence that such factors affect lobbying practices. The European Union interest system is (partially) shaped by economic factors, relatively independent from public policy or institutions.
Geology and stratigraphy of the south-eastern Lake Edward basin (Petroleum Exploration Area 4B), Albertine Rift Valley, Uganda
Creators: name: Nicholas, Christopher J.
name: Newth, Ian R.
name: Dozith Abeinomugisha
name: Tumushabe, Wilson M.
name: Lauben Twinomujuni
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 20199 Astronomical and Space Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: The Lake Edward basin lies within the Albertine Rift Valley of Uganda and the Democratic Republic of Congo which forms the northern end of the western arm of the East African Rift System. It is a frontier petroleum prospective area, which, at the outset of this study, had no exploration wells drilled within it or any deep reflection seismic surveys. There have been some previous studies in the basin, but none produced a geological map subdividing the onshore rift-fill sediments or established a workable stratigraphic framework for them. Between 2007 and 2010, Dominion Uganda Ltd., in collaboration with Trinity College Dublin and the Petroleum Exploration and Production Department of the Ministry of Energy, Uganda, undertook a geological mapping survey of the south-eastern onshore part of the basin, known as petroleum ‘Exploration Area 4B’ (EA4B). Five rift sediment formations were identified and mapped across the area to produce a new geological map of EA4B. Palynological analyses suggest that all exposed rift sediments are (Late to Mid) Pleistocene–Holocene. EA4B is dominated by a north-east to south-west trending fault zone which underwent significant extension within the last 130,000 years to produce a trough, or sub-basin, to the south-east against the rift margin. This trough subsequently filled, initially with ponded swamp clays, followed by coarse fluvial and alluvial clastics. There is field evidence for minor inversion and ‘pop-up’ structures along some footwall crests, suggesting that the neotectonic phase is compressional or transpressional, and this has caused stream rejuvenation and incision.
title: Risk status of selected indigenous chicken breeds in Java, Indonesia
title: challenges and opportunities for conservation
titleType: Subtitle
Creators: name: Asmara, Indrawati Yudha
Publisher: name: Charles Darwin University
Year: 2014

description: In Indonesia and other countries, populations of a number of indigenous chicken breeds that form part of global animal genetic resources (AnGR) are in decline and some are already extinct. A lack of detailed information and understanding about the risk status and values of indigenous chicken breeds hinders conservation efforts. This research makes recommendations for developing conservation strategies for indigenous chicken breeds in Indonesia in the context of three case-study breeds on the island of Java. The research was designed to provide information and understanding about (i) the risk status of the case-study breeds, (ii) their production systems, and (iii) the financial incentives for their keepers. Via a mixed-methods approach, the study used quantitative research as the primary method and qualitative research as the supporting method. Face-to-face interviews with keepers, interviews with key informants, semi-structured interviews with experts and focus-group discussions (FGDs) with keepers were conducted to gather quantitative and qualitative data. The research found that the case-study breeds are at risk of extinction; hence, it calls for conservation efforts. It also showed that semi-intensive production systems predominate and that the breeds make important socio-cultural contributions to keepers’ livelihoods. However, the research discovered challenges in maintaining the sustainable use of the breeds regarding input supplies, chicken health and breeding management. The research further identified that keepers may be motivated to commit to keeping (more) indigenous chickens by financial incentives. The findings make a significant contribution by providing information about the current risk status of indigenous chicken breeds in Java. The study emphasises the need for technical intervention in production systems to maintain sustainable use of the breeds through strengthening input supplies, veterinary services and disease control as well as providing breeding programmes. In addition, keepers’ commitment to indigenous chicken breeds may be enhanced by providing them with financial incentives.
Figure S3 from Choice of molecular marker influences spatial patterns of phylogenetic diversity
Creators: name: Luebert, Federico
name: Scherson, Rosa A.
Publisher: name: The Royal Society
Year: 2024
Subjects: classificationCode: 310401
subject: Animal systematics and taxonomy
classificationCode: 310411
subject: Plant and fungus systematics and taxonomy
classificationCode: 310499
subject: Evolutionary biology not elsewhere classified
classificationCode: 310899
subject: Plant biology not elsewhere classified

description: Histograms of phylogenetic diversity (PD) values for each molecular data matrix calculated with non-ultrametric (left panel) and ultrametric trees (right panel). “4 markers” refers to the concatenated matrix of ITS+matK+rbcL+trnL-trnF.
Figure S1 from Choice of molecular marker influences spatial patterns of phylogenetic diversity
Creators: name: Luebert, Federico
name: Scherson, Rosa A.
Publisher: name: The Royal Society
Year: 2024
Subjects: classificationCode: 310401
subject: Animal systematics and taxonomy
classificationCode: 310411
subject: Plant and fungus systematics and taxonomy
classificationCode: 310499
subject: Evolutionary biology not elsewhere classified
classificationCode: 310899
subject: Plant biology not elsewhere classified

description: Spatial patterns of PD for each molecular data matrix calculated with non-ultrametric (upper panel) and ultrametric trees (lower panel). “4 markers” refers to the concatenated matrix of ITS+matK+rbcL+trnL-trnF. Values of PD were transformed to vary from 0 to 1.
Efficient harvesting of Chaetoceros calcitrans for biodiesel production
Creators: name: Şirin, Sema
name: Clavero, Ester
name: Salvadó, Joan
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Plant Biology
subject: FOS: Biological sciences
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Biological Sciences
subject: Ecology
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Cell Biology
subject: Microbiology

description: Harvesting is one of the key challenges to determine the feasibility of producing biodiesel from algae. This paper presents experimental results for a cost-effective system to harvest Chaetoceros calcitrans, using natural sedimentation, flocculation, and inducing pH. No efficient sedimentation of microalgal cells was observed only by gravity. By alkalinity-induced flocculation, at a pH value of 9.51, 86% recovery of the cells was achieved with a sedimentation rate of 125 cm/h and a concentration factor (CF) of 4 (volume/volume (v/v)) in 10 min. The maximum photochemical quantum yield of photosystem II (Fv/Fm) of concentrated cells was almost the same as fresh culture (0.621). Commercial flocculants, aluminium sulphate and poly-aluminium chloride (PAC), were also successful in harvesting the studied algal cells. Optimum concentration of aluminium sulphate (AS) could be concluded as 10 ppm with 87.6% recovery and 7.10 CF (v/v) in 30 min for cost-efficient harvesting, whereas for PAC it was 20 ppm with 74% recovery and 6.6 CF (v/v). Fv/Fm yields of concentrated cells with AS and PAC showed a 1% reduction compared to fresh culture. Mg+2 was the triggering ion for alkalinity-induced flocculation in the conditions studied. The rheology behaviour of the concentrated cells was Newtonian with values between 2.2 × 10−3 and 2.3 × 10−3 Pa s at 30°C.
Geology and stratigraphy of the south-eastern Lake Edward basin (Petroleum Exploration Area 4B), Albertine Rift Valley, Uganda
Creators: name: Nicholas, Christopher J.
name: Newth, Ian R.
name: Dozith Abeinomugisha
name: Tumushabe, Wilson M.
name: Lauben Twinomujuni
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 20199 Astronomical and Space Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: The Lake Edward basin lies within the Albertine Rift Valley of Uganda and the Democratic Republic of Congo which forms the northern end of the western arm of the East African Rift System. It is a frontier petroleum prospective area, which, at the outset of this study, had no exploration wells drilled within it or any deep reflection seismic surveys. There have been some previous studies in the basin, but none produced a geological map subdividing the onshore rift-fill sediments or established a workable stratigraphic framework for them. Between 2007 and 2010, Dominion Uganda Ltd., in collaboration with Trinity College Dublin and the Petroleum Exploration and Production Department of the Ministry of Energy, Uganda, undertook a geological mapping survey of the south-eastern onshore part of the basin, known as petroleum ‘Exploration Area 4B’ (EA4B). Five rift sediment formations were identified and mapped across the area to produce a new geological map of EA4B. Palynological analyses suggest that all exposed rift sediments are (Late to Mid) Pleistocene–Holocene. EA4B is dominated by a north-east to south-west trending fault zone which underwent significant extension within the last 130,000 years to produce a trough, or sub-basin, to the south-east against the rift margin. This trough subsequently filled, initially with ponded swamp clays, followed by coarse fluvial and alluvial clastics. There is field evidence for minor inversion and ‘pop-up’ structures along some footwall crests, suggesting that the neotectonic phase is compressional or transpressional, and this has caused stream rejuvenation and incision.
Broadband Approach as a Framework for Implementation of Radiative Transfer Scheme with Selective Intermittency: Cost Versus Accuracy Study
Creators: name: Kuma, Peter
Publisher: name: Zenodo
Year: 2015
Subjects: shortwave radiative transfer code
cost versus accuracy
broadband approach
partial intermittency
gaseous optical thickness

description: The computational complexity of radiation schemes in NWP models precludes full radiative transfer calculations in every time step and every grid point of the model. Traditionally, models resort to calling a radiation scheme on a reduced temporal or spatial resolution, optionally scaling the resulting fluxes for the change in temperature profile and the solar zenith angle. As a result, the variability of cloud cover is neglected, leading to a considerable error. In the shortwave spectrum, relatively slowly changing gaseous optical properties are one of the most expensive parts to calculate. We propose a modification to the shortwave part of the ACRANEB2 broadband radiation scheme to interpolate gaseous optical thickness of layers with respect to the solar zenith angle within a chosen intermittency period, while still accounting for evolving cloudiness by recalculating its optical properties and the resulting fluxes via the adding method in every model time step. In this work we use a single column model to study the dependence of shortwave gaseous optical thickness on the solar zenith angle, we show that this dependence can be approximated with good accuracy, implement this approximation in the ACRANEB2 radiation scheme and assess the impact on accuracy of heating rates and model run time in 24-h simulations of the limited-area NWP model ALADIN. We show that the modification results in time saving of up to 4 % of total model run time and incurs error on shortwave heating rates up to ±0.4 K/day at noon (90 % confidence interval) and 0.06 K/day (MAE) over the whole domain and time period, and that both performance and accuracy scale with the length of the intermittency period. This relationship is summarised in a cost vs. accuracy comparison, giving potential users a guide on choosing the optimal intermittency period in their circumstances. The proposed modification became part of the ACRANEB2 radiation scheme implemented in package ALARO-1 version A, and since January 2015 it is operational in the model ALADIN/CHMI.
Modelling of Time-Resolved Light Extinction and Its Applications to Visibility Management in the Lower Fraser Valley of British Columbia, Canada
Creators: name: So, Rita
name: Vingarzan, Roxanne
name: Jones, Keith
name: Pitchford, Marc
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Information and Computing Sciences
subject: Biological Sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Earth and Environmental Sciences

description: Fine particulate matter (PM2.5) is the dominant cause of atmospheric visibility degradation in the Lower Fraser Valley (LFV) of British Columbia, where poor visibility due to air pollution is of concern. The spatial coverage of the current LFV visibility monitoring network is relatively low, with large parts of the airshed not being represented. Given the desire on the part of local and regional governments to manage visibility in the LFV airshed, the development of a method that allows near real-time estimation of one-hour light extinction data from the dense network of PM measurements would be highly beneficial. This paper describes a simple linear algorithm, developed using the Hybrid method, to estimate near real-time one-hour total light extinction at four monitoring sites in the LFV. Model inputs include ambient hourly PM2.5, NO2, relative humidity measurements and historical monthly-averaged aerosol composition. The results indicate that the developed model can provide relatively accurate and time-resolved estimates of extinction in regions where visibility is not being monitored, thus extending the spatial coverage of the regional visibility monitoring network. The model was also applied to a number of policy-related scenarios to inform visual air quality management in the study area. Results indicated that, in order to achieve a perceptible improvement (1.0 deciview) relative to baseline average visibility conditions in the LFV airshed, average ambient PM2.5 concentration would have to decrease by 17% from baseline conditions. Furthermore, to achieve a 20% increase in the number daylight hours with “excellent” visibility, average PM2.5 would need to be reduced by 30%. Model simulations also indicated that “across-the-board” emission reduction policies would result in greater improvements for the “worst 20%” visibility conditions than for the “best 20%” conditions, suggesting that reducing the number of “poor” visibility days would be easier than improving the number of “excellent” visibility days. ImplicationsThe current study describes the development of a model using standard air quality monitoring data (PM2.5, NO2, relative humidity, and PM speciation profiles) to provide near real-time estimates of time-resolved extinction in regions where direct optical monitoring is not available. Applications of the model include extension of spatial coverage of a visibility network, testing various air quality scenarios to inform visibility management and as a tool for setting visual air quality standards in impacted airsheds.
Figure S4 from Choice of molecular marker influences spatial patterns of phylogenetic diversity
Creators: name: Luebert, Federico
name: Scherson, Rosa A.
Publisher: name: The Royal Society
Year: 2024
Subjects: classificationCode: 310401
subject: Animal systematics and taxonomy
classificationCode: 310411
subject: Plant and fungus systematics and taxonomy
classificationCode: 310499
subject: Evolutionary biology not elsewhere classified
classificationCode: 310899
subject: Plant biology not elsewhere classified

description: Histograms of corrected phylogenetic diversity (PDcorr) values for each molecular data matrix calculated with non-ultrametric (left panel) and ultrametric trees (right panel). “4 markers” refers to the concatenated matrix of ITS+matK+rbcL+trnL-trnF.
Figure S2 from Choice of molecular marker influences spatial patterns of phylogenetic diversity
Creators: name: Luebert, Federico
name: Scherson, Rosa A.
Publisher: name: The Royal Society
Year: 2024
Subjects: classificationCode: 310401
subject: Animal systematics and taxonomy
classificationCode: 310411
subject: Plant and fungus systematics and taxonomy
classificationCode: 310499
subject: Evolutionary biology not elsewhere classified
classificationCode: 310899
subject: Plant biology not elsewhere classified

description: Spatial patterns of corrected PD (see Methods) for each molecular data matrix calculated with non-ultrametric (upper panel) and ultrametric trees (lower panel). “4 markers” refers to the concatenated matrix of ITS+matK+rbcL+trnL-trnF. Values of PDcorr were transformed to vary from -1 to 1.
Efficient harvesting of Chaetoceros calcitrans for biodiesel production
Creators: name: Şirin, Sema
name: Clavero, Ester
name: Salvadó, Joan
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Plant Biology
subject: FOS: Biological sciences
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Biological Sciences
subject: Ecology
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Cell Biology
subject: Microbiology

description: Harvesting is one of the key challenges to determine the feasibility of producing biodiesel from algae. This paper presents experimental results for a cost-effective system to harvest Chaetoceros calcitrans, using natural sedimentation; flocculation; and inducing pH. No efficient sedimentation of microalgae cells was observed only by gravity. By alkalinity induced flocculation, at pH value of 9.51, 86% recovery of the cells achieved with sedimentation rate 125 cm/h and concentration factor 4 (volume/volume; v/v) in 10 minutes. The maximum photochemical quantum yield of PSII (Fv/Fm) of concentrated cells was almost the same as fresh culture (0.621). Commercial flocculants, aluminum sulfate and poly aluminum chloride, were also successful in harvesting the studied algae cells. Optimum concentration of AS could be concluded as 10 ppm with 87.6% recovery and 7.10 concentration factor (v/v) in 30 min for cost efficient harvesting, whereas for PAC 20 ppm with 74% recovery and 6.6 concentration factor (v/v). Fv/Fm yields of concentrated cells with AS and PAC showed a 1% reduction compared to fresh culture. Mg+2 was the triggering ion for alkalinity-induced flocculation in the conditions studied. The rheology behavior of the concentrated cells was Newtonian with values between 2.2.-2.3x10−3Pa.s at 30oC.Supplementary material