Different Sets Of Information Research Articles

Public goods and future audiences

Individuals’ decisions to behave prosocially (or the contrary) can often be observed by other individuals, with no direct connection to them, but who may nevertheless be influenced by them (e.g. through social media). Does knowing that they may be viewed as role models by other, notably younger, people affect the way individuals behave? Does it make them more likely to behave prosocially? We study how participants’ behavior in an experimental public good game is affected when they know that information about their choices and outcomes, together with different sets of information about their identity, will be transmitted the following year to a set of new, unknown, first-year students at the same university. When subjects know their photo, choices and outcomes will be transmitted, they contribute significantly less. We explore different possible explanations and are able to rule out several. We argue that the most convincing are based on non-standard social image concerns (i.e. individuals are not trying to signal prosocial motivations).

Effects of Different Methods and Genomic Relationship Matrices on Reliabilities of Genomic Selection in Dairy Cattle

Since genomic prediction is widely used in dairy cattle, we aimed to evaluate the performance of pedigree based (ABLUP), SNP based (GBLUP) and single-step GBLUP (ss-GBLUP) methods with different sets of information in terms of reliability of genomic prediction. Four different methods were evaluated: (Method 1) ABLUP with all available phenotypes and pedigree; (Method 2) GBLUP with SNP genotypes and phenotypes of genotyped cows; (Method 3) single-step GBLUP with SNP genotypes, phenotypes of genotyped cows and all pedigree and (Method 4) single-step GBLUP with SNP genotypes, all phenotypes of both genotyped and nongenotyped cows and all pedigree. SNP based methods also used different genomic relationship matrices (GRMs) formed by different approaches: vanRaden, Astle, Yang and Endelman. The simulated dataset replicates a common dairy cattle population. 
 A significant increase in reliability of prediction was observed in ss-GBLUP with all phenotypes and pedigree beside genotyped cows. This increase was apparent for both first lactation milk yield (LMY) and milk fat percentage (Fat%). Combining all available information with ss-GBLUP gave about 1.6 and 1.2 times higher reliabilities for LMY and Fat%, respectively, compared to those obtained from the other three methods.

Platform synergy and innovation speed of SMEs: The roles of organizational design and regional environment

The prevalence of platform-based business models, enabled by the advancements of digital technologies, has tremendously changed the way how individual firms innovate. This study seeks to understand the heterogeneity of innovation speed among SMEs acting as participant complementors in digital platform. Integrating a knowledge-based view with the recent research on platform synergy, this study explores the effects of two kinds of platform synergy (i.e. synergy with platform owners, and synergy with other complementors) have on the innovation speed of SMEs. The results suggest that platform owners and fellow complementors would furnish different sets of information and knowledge, which are complementary in nature. In addition, SMEs with different organizational structure and geographic locations may benefit differently from the two kinds of platform synergy. Our synergy-based explanations make an important theoretical contribution to the growing literature on platform ecosystem from a complementor’s perspective.

Persuasive Messages Will Not Increase COVID-19 Vaccine Acceptance: Evidence from a Nationwide Online Experiment.

Although mass vaccination is the best way out of the pandemic, the share of skeptics is substantial in most countries. Social campaigns can emphasize the many arguments that potentially increase acceptance for vaccines: e.g., that they have been developed, tested, and recommended by doctors and scientists; and that they are safe, effective, and in demand. We verified the effectiveness of such messages in an online experiment conducted in February and March 2021 with a sample of almost six thousand adult Poles, which was nationally representative in terms of key demographic variables. We presented respondents with different sets of information about vaccinating against COVID-19. After reading the information bundle, they indicated whether they would be willing to be vaccinated. We also asked them to justify their answers and indicate who or what might change their opinion. Finally, we elicited a number of individual characteristics and opinions. We found that nearly 45% of the respondents were unwilling to be vaccinated, and none of the popular messages we used was effective in reducing this hesitancy. We also observed a number of significant correlates of vaccination attitudes, with men, older, wealthier, and non-religious individuals, those with higher education, and those trusting science rather than COVID-19 conspiracy theories being more willing to be vaccinated. We discuss important consequences for campaigns aimed at reducing COVID-19 vaccine hesitancy.

Perspectives from the water: Utilizing fisher's observations to inform SNE/MA windowpane science and management

Within fisheries, stakeholders often have varying viewpoints regarding natural marine resources, and use different sets information to evaluate their condition. Evaluating a resource with different sets of information can lead to different conclusions. Windowpane flounder (Scophthalmus aquosus) are a managed finfish species in the northwest Atlantic whose regulations have the potential to limit harvest opportunities for target species. We analyzed commercial trip and catch information from video data to understand local densities of windowpane flounder in conjunction with fisheries independent surveys. Video monitoring data from three Rhode Island commercial fisher's vessels and fisheries independent trawl survey data were analyzed to understand the geographic distribution of the stock as well as overlap with temporary closed areas. Biomass data from the fisheries-dependent and fisheries-independent surveys were combined with a spatial-temporal model that accounted for differences in catchability among vessels and spatial autocorrelation. A separate analysis of estimated discard rates with observer data was also conducted to determine how the distribution of windowpane discards in Southern New England compared to the distribution of model predicted windowpane abundance. In agreement with the fishermen's observations, the temporary closed areas were not located where the highest densities of windowpane flounder occurred. The temporary closed areas, however, were located where the highest rates of discards occurred and thus where fishing had the greatest impact on the stock. The integration of verified fishery-dependent data with the scientific surveys has the potential to create a single set of information that is trusted by all user groups.

Design and implementation of enhanced permutation index differential chaos shift keying system

In standard PI-DCSK, information is transmitted by sending reference chaotic signal followed by information bearing signal, which is simply a permutated version of the reference signal. Permutation is performed based on a specific data map. In this paper, a developed version of (PI-DCSK) is presented and tested in AWGN and multipath Rayleigh fading channels environment. Information bearing signal is generated by mapping first set of information bits to the reference bit while the second set is mapped to the permutated-time reversed version of same reference signal. Both versions is added together on the same time slot. At the receiver, each incoming signal undergoes two operations; permutation and time reversal followed by permutation to detect the two different sets of information. This arrangement offers high data rate and reduce the energy requirement utilizing the low cross correlation between the chaotic signal and its time reversed version. The bit error performance is studied using baseband system model and analytically tested using Gaussian Approximation (GA) method. System performance is evaluated analytically to predict the Bit Error Rate (BER) using computer simulations. Results show that system performance is outperform the recent developed one by an average of at 2.25 dB while outperform the other standard chaos based scheme by an average of at same Eb∕N0. Moreover, the analytical form which are developed to predict the BER is validated by simulation.

Biological senescence risk score. A practical tool to predict biological senescence status.

Ageing and biological senescence, both related to cardiovascular disease, are mediated by oxidative stress and inflammation. We aim to develop a predictive tool to evaluate the degree of biological senescence in coronary patients. Relative telomere length (RTL) of 1002 coronary patients from the CORDIOPREV study (NCT00924937) was determined at baseline in addition to markers of inflammatory response (hs-C-Reactive Protein, monocyte chemoattractant protein-1, IL-6, IL-1β, TNF-α, adiponectin, resistin and leptin) and oxidative stress (nitric oxide, lipid peroxidation products, carbonylated proteins, catalase, total glutathione, reduced glutathione, oxidized glutathione, superoxide dismutase and peroxidated glutathione). Biological senescence was defined using the cut-off value defined by the lower quintile of relative telomere length in our population (RTL=0.7629). We generated and tested different predictive models based on logistic regression analysis to identify biological senescence. Three models were designed to be used with different sets of information. We selected those patients with all the variables proposed to develop the predictive models (n=353). Statistically significant differences between both groups (Biological senescence vs. Nonbiological senescence) were found for total cholesterol, catalase, superoxide dismutase, IL-1β, resistin and leptin. The area under the curve of receiver-operating characteristic to predict biological senescence for our models was 0.65, 0.75 and 0.72. These predictive models allow us to calculate the degree of biological senescence in coronary patients, identifying a subgroup of patients at higher risk and who may require more intensive treatment.

In silico approach to predict pancreatic β-cells classically secreted proteins.

Pancreatic β-cells, residents of the islets of Langerhans, are the unique insulin-producers in the body. Their physiology is a topic of intensive studies aiming to understand the biology of insulin production and its role in diabetes pathology. However, investigations about these cells’ subset of secreted proteins, the secretome, are surprisingly scarce and a list describing islet/β-cell secretome upon glucose-stimulation is not yet available. In silico predictions of secretomes are an interesting approach that can be employed to forecast proteins likely to be secreted. In this context, using the rationale behind classical secretion of proteins through the secretory pathway, a Python tool capable of predicting classically secreted proteins was developed. This tool was applied to different available proteomic data (human and rodent islets, isolated β-cells, β-cell secretory granules, and β-cells supernatant), filtering them in order to selectively list only classically secreted proteins. The method presented here can retrieve, organize, search and filter proteomic lists using UniProtKB as a central database. It provides analysis by overlaying different sets of information, filtering out potential contaminants and clustering the identified proteins into functional groups. A range of 70–92% of the original proteomes analyzed was reduced generating predicted secretomes. Islet and β-cell signal peptide-containing proteins, and endoplasmic reticulum-resident proteins were identified and quantified. From the predicted secretomes, exemplary conservational patterns were inferred, as well as the signaling pathways enriched within them. Such a technique proves to be an effective approach to reduce the horizon of plausible targets for drug development or biomarkers identification.

Related party transactions disclosure and procedures: a critical analysis in business groups

PurposeIn the light of the risks involved in related party transactions, transparent disclosure is particularly important. The impact of related party transactions is relevant for all types of company, but there is greater complexity in business groups where they can be easier to hide. Focusing on business groups, this study aims to analyze the accuracy and transparency of related party transaction information, its understandability, compliance with legislation and comparability. It also examines whether shareholders can be fully informed of all related party transactions by reading only the consolidated financial statement.Design/methodology/approachThree case studies are used. The units of analysis are three corporate groups in which the parent company is listed on the Milan Stock Exchange as of 1 July 2015. The authors use two different sets of information. The first is secondary data from company procedures, annual reports and other official documents. They analyzed the separate financial statement of each firm, including the separate financial statement of the parent company and compared all relevant information from the consolidated financial statement and the separate financial statement. The second set is primary data from face-to-face semi-structured interviews and observation.FindingsThis study underlines that there is no requirement for a specific classification of related party transactions disclosure, and as a consequence, it is not possible to compare information. An unambiguous framework for disclosure, established by regulation or legislation, for use by companies supplying related party transactions information would be useful.Originality/valueThe results offer possible recommendations for regulators to improve presentation of related party transaction information without increasing the amount of information required.

Mapping the Late-Holocene Glacial Geomorphology and Glacier Surface Types in the Mt. Harajoriha, Central Tian Shan

Alpine glaciers in the central Tian Shan are an important indicator of climate change and also the freshwater tower for the transboundary countries in Central Asia. Knowledge about the glacier dynamics in the late Holocene, such as the Little Ice Age, and surface zones is still limited. In this study, two headwater basins, the Xiata and the Muzart basins, in the Harajoriha Mountain Range in northwestern China were selected to investigate the glacial landforms and glacier surface types using a combination of geomorphological mapping and remote sensing analysis. Several types of glacial landforms including glacial valleys, moraine complexes, moraine ridges, and trimlines were identified and manually digitized based on the 30 m Shuttle Radar Topography Mission (SRTM) digital elevation model, 10 m Sentinel-2 satellite imagery, and high-resolution images from Google Earth. In addition, an effective automated mapping algorithm was applied to the modern glaciers from a Landsat 8 scene using its optical and thermal bands to classify glacier facies, i.e. ice, snow, and slush zone, and supraglacial debris cover. Field trip to the forelands of the Aerqialeteer Glacier in the Xiata basin allowed detailed mapping of the proglacial environment and provided field checks for the mapping with GPS tracks and panoramic photos. Through this fused approach, the mapping results showed a combination of different sets of information connecting the glacier retreat since the late Holocene to contemporary glacier properties. They will be of particular value for future chronological reconstruction of past glacial events and for understanding how surface characteristics play a role in the heterogeneity of glacier responses to climate change.

Volatilities of Book Income and Taxable Income and Their Risk Relevance

This study investigates the volatility of book income and taxable income, and their relevance to stock returns variability. Book income is recognized under the financial accounting principle whereas taxable income is determined on the basis of legal right. Thus, the two types of earnings can provide different sets of information to investors. Particularly related to the role of earnings as a risk measure, this study shows that book income is more volatile than taxable income, which indicates that taxable income is relatively more consistent and predictable. Further, the volatility of book income is strongly positively related to stock return variability while the taxable income volatility is insignificantly associated with the stock returns volatility. Additional analysis shows that the earnings volatility is more closely linked to the systematic risk of stock prices than the idiosyncratic risk. In conclusion, this study suggests that book income and taxable income is mutually different in terms of earnings variability and its relevance to firm risk. The findings also indicate that those two sets of earnings information are complementary to each other and provides investors with useful information to assess underlying firm risk.

Factor models for matrix-valued high-dimensional time series

In finance, economics and many other fields, observations in a matrix form are often observed over time. For example, many economic indicators are obtained in different countries over time. Various financial characteristics of many companies are reported over time. Although it is natural to turn a matrix observation into a long vector then use standard vector time series models or factor analysis, it is often the case that the columns and rows of a matrix represent different sets of information that are closely interrelated in a very structural way. We propose a novel factor model that maintains and utilizes the matrix structure to achieve greater dimensional reduction as well as finding clearer and more interpretable factor structures. Estimation procedure and its theoretical properties are investigated and demonstrated with simulated and real examples.

대여 한복에 대한 연구 - 2006년과 2016년 시장과 소비자 변화를 중심으로 -

The purpose of this study is to investigate changes in the rental Hanbok market and consumer during the past 10 years. This study was done by analyzing internet news about rental Hanbok and in-depth interview. The results provide basic data that can be used to understand the rental Hanbok market. Results showed the followings: First, the rental Hanbok market has expanded and consists of two types of rental Hanbok; ceremonial and experiential. The experiential Hanbok is new but a big part in rental Hanbok market. It is not existed until 2007 but it accounted for more than 60% of internet news about rental Hanbok in 2016. Second, there is a significant difference in consumer behavior between the two types of rental Hanbok. Ceremonial Hanbok showed consistent consumer behavior between 2006 and 2016. Consumer want to get benefits such as TPO(occasion suitability), economy, exhibition, trendy and exceptionality through renting Hanbok. On the other hand, experiential Hanbok, consumers are motivated by having unique, conformity and sharing memories. Based on these results, different sets of information reveal the unique features of the two types of rental Hanbok. And also needed to develop new designs and marketing strategies for them.

Big data projects: just jump right in!

PurposeThis paper aims to provide a roadmap for organizations to build big data projects and reap the most rewards out of their data. It covers all aspects of big data project implementation, from data collection to final project evaluation.Design/methodology/approachIn each stage of the proposed roadmap, we introduce different sets of information and communications technology platforms and tools to assist IT professionals and managers in gaining a comprehensive understanding of the methods and technologies involved and in making the best use of them. The authors also complete the picture by illustrating the process through different real-world big data projects implementations.FindingsBy adopting the proposed roadmap, companies and organizations willing to establish an effective and rewarding big data solution can tackle all implementation challenges in each stage of their big data project setup: from strategy elaboration to final project evaluation. Their expectations of privacy and security are also baked, in advance, into the big data project design.Originality/valueWhile technologies to build and run big data projects have started to mature and proliferate over the last couple of years, exploiting all potentials of big data is still at a relatively early stage. The value of this paper consists in providing a clear and systematic methodology to move businesses and organizations from an opinion-operated era where humans’ skills are a necessity to a data-driven and smart era where big data analytics plays a major role in discovering unexpected insights in the oceans of data routinely generated or collected.

Self-testing produces superior recall of both familiar and unfamiliar muscle information.

Dozens of studies have found learning strategies based on the "testing effect" promote greater recall than those that rely solely on reading; however, the advantages of testing are often only observed after a delay (e.g., 2-7 days later). In contrast, our research, which has focused on kinesiology students learning kinesiology information that is generally familiar to them, has consistently demonstrated that testing-based strategies produce greater recall both immediately and after a delay. In an attempt to understand the discrepancies in the literature, the purpose of the present study was to determine if the time-related advantages of a testing-based learning strategy vary with one's familiarity with the to-be-learned information. Participants used both read-only and testing-based strategies to repeatedly study three different sets of information: 1) previously studied human muscle information (familiar information), 2) a mix of previously studied and previously unstudied human muscle information (mixed information), and 3) previously unstudied muscle information that is unique to sharks (unfamiliar information). Learning was evaluated via free recall assessments administered immediately after studying and again after a 1-wk delay and a 3-wk delay. Across those three assessments, the read-only strategy resulted in mean scores of 29.26 ± 1.43, 15.17 ± 1.29, and 5.33 ± 0.77 for the familiar, mixed, and unfamiliar information, respectively, whereas the testing-based strategy produced scores of 34.57 ± 1.58, 16.90 ± 1.31, and 8.33 ± 0.95, respectively. The results indicate that the testing-based strategy produced greater recall immediately and up through the 3-wk delay regardless of the participants' level of familiarity with the muscle information.

Fast methodology to design the optimal collection point locations and number of waste bins: A case study.

This paper concerns the development of a methodology aimed at determining the optimal number of waste bins as well optimizing the location of collection points. The methodology was based on a geographic information system, which handled different sets of information, such as street directions, spatial location of objects and number of inhabitants, location of waste bins, and radius of their coverage. The study was conducted in a district in the central area of the city of Kragujevac. Due to a lack of information about the existing situation, all necessary data was collected by fieldwork and by using GPS equipment. By using the developed methodology, the results indicated a reduction of 24% in the number of collection points and 33.5% in the number of waste bins, without reducing the quality of the provided services. It has led to cost and time savings for waste collection and environmental benefits. All users of the services were covered within a 75-m radius, and the usage of bins is more efficient. According to the reduction in the number of waste bins, a total amount of €26,000 may be achieved. In addition, the time for waste collection was reduced, resulting in a €1700 saving per year in fuel costs, as well as 4.5 tons of emitted CO2 into the atmosphere.

On providing design process information to the environmental expert

This paper explores the subject of information exchange in order to enhance to the integration of environmental expertise in the product design process. More precisely, the research question addressed is: What is the impact on the resulting product when different sets of information about the design process are given to the environmental expert? To explore this question, a game that simulates a collaborative design process has been adapted (Delta design game), including a role for the environmental expert. Different situations have been created to compare three different sets of information. During the first one, an environmental expert aims at improving a house considering his own point of view, being disconnected from the design team. In the second one, the environmental expert aims at improving this same house considering his own point of view and the main constraints of other experts. Then, in the last one, the environmental expert takes part of the design team, collaborating with other experts. A total of 69 volunteers have participated on the experiments. The results show that: (1) in a disconnected context, an environmental expert is more focused on the environmental issue when he has less information about the design process, and is more concerned about the global feasibility of the product when he has more information; (2) In an integrated context, having more information leads to the best compromise between feasibility and good environmental performance of the house.

Nomenclatural availability of preliminary electronic versions of taxonomic papers: in need of a clear definition

The question of the nomenclatural availability of preliminary electronic versions of taxonomic papers, distributed online 'ahead of print' by some journals and publishing companies, is addressed again. We disagree with Krell's suggestion to 'distinguish between content and bibliographical metadata'. The concept of 'biblio- graphical metadata' does not exist in the Code and should not be incorporated into it. The citation of publication date, issue and page numbers are part of the relevant information that is useful in bibliographic references, in text citations and in synonymic lists that appear in taxonomic publications (which have a much longer life than most other publications), and should be considered part of the 'content' of a taxonomic paper. In particular, the page of first appearance of a name or of a nomenclatural act is traditionally cited in taxonomic revisions, monographs, faunas and catalogues, whether printed or stored in online databases, and this information is very useful for serious taxonomists. Having two different sets of information in this respect, in a first version of the work first published online but then discarded from the website of the journal, and in a subsequent one included into a journal issue, would be an indisputable source of confusion, which would not be solved by calling artificially both these versions the 'version of record' as if they were identical. The fact that 'pagination is not regulated' by the Code is fully irrelevant here: many aspects of taxonomic works are not regulated by the Code but are of crucial importance for the discipline of taxonomy. Krell's proposal is motivated, according to his own words, by some publishers' desire to make their publications more 'attractive as outlets of taxonomic research'. But the purpose of the Code is not to make some journals more attractive than others; it is to help working taxonomists in their daily work, to make it easier, more straightforward, efficient, reliable and useful, and less prone to ambiguity. We recommend rejecting Krell's suggestion. On the other hand, we make the new proposal of the creation of a 'label' to which some online journals and publishing companies might adhere, taking the engagement to publish online only one single version of each paper, with its final date, issue number and pagination. Authors will then have the possibility to choose their publication outlet among those having this label or those following the practice of 'early view'. Currently, such preliminary versions of papers are unavailable under the 2012 Amendment of the Code.

Design of optimal ecosystem monitoring networks: hotspot detection and biodiversity patterns

Effective monitoring of ecosystems is crucial for assessing and possibly anticipating shifts, quantifying ecosystem services, and optimal decision making based on shifts and services. The selection of monitoring sites is typically suboptimal following local stakeholder or research interests that do not allow to capture ecosystem patterns and dynamics as a whole. The design of optimal monitoring network is crucial for the accurate determination of biodiversity patterns of ecosystems. A novel model for the design of optimal monitoring networks for biodiversity based on the concept of the value of information (VoI) is proposed. The VoI is assigned to species richness that is the economically and ecologically valuable metric. As a case study the trinational frontier ecosystem among Brazil, Peru, and Bolivia is considered for the model. A multiresolution texture-based model estimates species richness and turnover on satellite imagery calibrated on different sets of information coming from forest plot data organized in network topologies. The optimal monitoring network is the network that minimizes the integrated VoI defined as the variation of the VoI in the 28 years considered. This is equivalent to minimize the sum of the species turnover of the ecosystem. The small world network is identified as the optimal and most resilient monitoring network whose nodes are the hotspots of species richness. The hotspots are identified as the sites whose VoI is the highest for the whole period considered. Hence, the hotspots are the most valuable communities for inferring biodiversity patterns and the most ecologically/economically valuable according to the richness—resilience hypothesis. Most hotspots are honored by the small world network that can be thought as the ”backbone” ecological network of the ecosystem. The small world monitoring network has an accuracy ~50 % higher than other network topologies in predicting biodiversity patterns. This network has the highest VoI at any time step and scale considered; thus, it guarantees to track changes of ecosystems in space and time. The network that results from the optimal trade-off between data value with their uncertainty and relevance, has deep implications for understanding ecosystem function and for management decisions. The model allows to include preferences for ecosystem communities by using differential weights on the VoI of these communities, and economic constraints that limit the extension of the network. Because of the optimal integration of environmental, social, and economical factors the model allows a sustainable monitoring and planning of biodiversity for the future.

Glaciers and equilibrium line altitudes of the eastern Nyainqêntanglha Range, SE Tibet

A set of maps that illustrate the key results of a study on glaciers and late Holocene glacier change in the eastern Nyainqêntanglha Range, southeastern Tibet, is presented. The cartographic challenge was to present this information in a way that focuses on the most important findings but retains as much detail as possible. The layout is based on two main maps showing two different sets of information for the same area; one map of glacier types and distribution and one map of calculated equilibrium line altitudes (ELA). Additionally, two inset maps provide a regional topographic overview and information on ELA change since the Little Ice Age maximum glacier advance. Through this approach, the viewer is able to combine the different sets of information individually for different parts of the study area. Insights into the complex couplings of climate, relief, and glaciers can thus be obtained. The maps reveal heterogeneous spatial patterns of glacier and ELA distributions. These reflect the interplay of the high-mountain topography and the primary moisture sources, the Indian Summer Monsoon and the East Asian Summer Monsoon. Specifically, luv-lee effects and the channeling of monsoonal air masses through the valley system can be observed at catchment to regional scales. The patterns of ELA change since the Little Ice Age indicate that glacier sensitivity to climate change is decreasing toward regions with increasingly continental climate in the eastern Nyainqêntanglha Range.