jimnoneill/paper-to-field-training huggingface dataset:
Trends and Determinants of Volatility: A Study of Soybean Futures Contracts

Field: Economics, Econometrics and Finance (Social Sciences)

This study examines the trends and determinants of volatility in the context of the Indian futures market by taking soybean futures contracts traded on NCDEX. The sample consists of daily data on closing price, trading volume and open interest from Jan 3, 2005 to Dec 31, 2019. ARMA-GARCH model is being estimated for empirical analysis. The study finds that return distribution exhibits thick tails, time-varying volatility and volatility persistence. The GARCH effects are greater than the ARCH effects, which indicate that volatility is more sensitive to its own lagged values than recent news. The study finds a positive relationship between trading volume and volatility, whereas a negative relationship is observed between open interest and volatility. It was also observed that the inclusion of trading volume and open interest in the GARCH model reduces volatility persistence. The study concludes that trading volume and open interest are two important determinants of volatility.
An Anytime Algorithm for Chance Constrained Stochastic Shortest Path Problems and Its Application to Aircraft Routing

Field: Computer Science (Physical Sciences)

Aircraft routing problem is a crucial component for flight automation. Despite recent successes, challenges still remain when the environment is dynamic and uncertain. In this paper, we tackle the following two challenges. First, when the environment is uncertain, it is much safer if the route planner can guarantee a specified level of safety. Second, when the environment is dynamic, the planner needs to adapt to the changes in the environment quickly. To address these challenges, we present three contributions. First, we propose formulating the aircraft routing problem under a dynamic and uncertain environment as a chance constrained stochastic shortest path (CC-SSP) problem. Second, we introduce an anytime algorithm for the CC-SSP problem, which is effective in a dynamic environment with limited planning time. To be more specific, we present two versions of the algorithm and compare their performances. Third, we show that the algorithm can be generalized to solve a larger class of problems called chance constrained partially observable Markov decision process (CC-POMDP).
Perception of Chickpea Growers towards Climate Change in Bemetara District of Chhattisgarh, India

Field: Agricultural and Biological Sciences (Life Sciences)

Climate change is the global phenomenon of climate transformation characterized by the changes in the usual climate of the planet regarding temperature, rainfall and wind) that are especially caused by human activities. Various detrimental effects have been recorded due to changes in weather patterns. The research explores the perception of chickpea growers towards climate change in Bemetara District of C.G. The study reveals that majority of chickpea growers exhibit a medium level of perception. The findings highlight the need for targeted interventions to improve respondents’ perception and equipping them with necessary tools to manage the risk posed by climate variability.
Sustainability Impact of Digital Transformation in E-Commerce Logistics

Field: Business, Management and Accounting (Social Sciences)

Purpose: This study investigated the digital transformation in logistics and its effects on sustainability. It provides answers to questions about what digital transformation and related technologies are in logistics, how the transformation altered the operational processes, and which merits have been realized as a result of digital transformation. As part of the fourth industrial revolution, most businesses are digitally transformed. Since commerce is the primary focus of the digital revolution, phrases like "Commerce of the Future" and "E-Commerce" are used interchangeably with this idea. Methodology: Qualitative research methods and semi-structured interviews were used to elicit information from participants in six (6) e-commerce logistics companies in Nigeria. Seventeen (17) pertinent criteria are identified, of which ten relate to the economic feature of sustainability, two relate to the environmental feature, and the remaining five relate to the social feature. Findings: From the sustainability dimensions, the economic impacts of digitization outweighed the other two dimensions, even though the evaluation of some criteria by the participants was ambiguous. Digitization of logistics has great merits regarding cost, delivery time, delay, inventory, dependability, and flexibility. Aside from this, it was found that the social effects of digitization, such as better health outcomes and decreasing accident occurrences, have little bearing on society. While the digitalization of logistics may alleviate safety and health issues, it was less accepted because it was perceived as a threat to labor involvement. Originality/value: The study demonstrated the significant sustainability impact of digital transformation in logistics as it gives birth to e-commerce logistics operations.
Preferences for solidarity and attitudes towards the Dutch pension system: Evidence from a representative sample

Field: Economics, Econometrics and Finance (Social Sciences)

Collective pension systems are based on the principle of solidarity across and within generations. Using methods from experimental economics we elicit preferences for solidarity of different age cohorts towards the same and other age cohorts for a representative sample of the Dutch population. In addition, we use survey methods to measure stated inter- and intra-generational altruism and solidarity attitudes with respect to the Dutch pension system. Finally, we analyze how revealed solidarity preferences are related to demographic and socio-economic characteristics of participants by linking the experimental and survey data to administrative data of the Dutch population maintained by Statistics Netherlands (CBS).

In our study, participants made decisions in a ‘solidarity game’ where real money was at stake. They had to decide how they would share money with another participant in case they received the money while the other participant did not. We found that participants were willing to share about 40% of the money received. This shows that participants on average had a strong preference for (ex-ante) solidarity. However, the results also show large heterogeneity as well as a bias in favor of the age group that a participant belongs to. A significant percentage of young participants were prepared

to share substantially more with other young participants than with other age groups. Likewise, a large percentage of old participants were prepared to share substantially more with other old participants than with other age groups. We also find that beliefs about what others will give (i.e. anticipated reciprocity) correlate strongly with solidarity preferences: participants who expect more when in need show more solidarity towards others who are likewise in need. Remarkably, participants were rather pessimistic about the solidarity of others within and across age groups in the sense that they expected others to give substantially less than they themselves would actually do. Finally, a number of demographic and socio-economic characteristics (gender, education, marital status, political involvement) of our participants are statistically significantly related to the elicited solidarity preferences.

In the survey, participants of all age categories indicated that they believe that solidarity between the young and the old is under pressure. We also see clear differences between young and old participants regarding the preferred pension system. While old participants favor a collective system over an individual system, for young participants the reverse holds. Opinions on the Dutch pension system correlate to some extent with the elicited solidarity preferences. Overall, however, the correlation between survey and experimental measures is relatively weak. This indicates that pension policymakers should take into account that stated preferences on solidarity do not necessarily reflect the true solidarity preferences of individuals.
Single Parameter Full Waveform Inversion in Poroelastic Media using Damped-Inertia-Coefficient PSO

Field: Earth and Planetary Sciences (Physical Sciences)

Summary Estimation of reservoir rock properties from seismic data is the biggest challenge for hydrocarbon industries. Acoustic and elastic FWI have been successful to obtain high resolution subsurface velocity and density models, but are unable to estimate porosity, permeability and fluid saturation for reservoir characterization. Since FWI uses local optimization strategies mostly, it suffers from cycle skipping and often converges to a local minima, thereby, estimating model parameters inaccurately. Here, we have presented a case of poroelastic FWI for plane-layered fluid-filled poroelastic media to estimate porosity from synthetic seismic data. We have used Particle Swarm Optimization (PSO) to prevent cycle skipping and ensure accurate inversion. In order to improve the accuracy and lessen the computation cost of the inversion algorithm, we have modified PSO introducing a damping factor in the Inertia Coefficient. We have further discussed the inverted results and the feasibility of the inversion algorithm for estimation of petrophysical properties of reservoir rocks.
Ensuring rigour in qualitative research

Field: Social Sciences (Social Sciences)

The issues of reliability and validity in qualitative research are not as readily codified as has been the case for quantitative research. However, a variety of methods do exist and are reviewed here. This general review is followed by a detailed illustration of selected techniques, including the use of counting in qualitative research, the development of systematic coding schemes with the aid of computer programmes, searching for deviant cases and the use of the transcription techniques of conversation analysis. The examples given are drawn from a variety of studies conducted by the authors.
Antibody detects lymphoma cells in 'normal' blood

Field: Medicine (Health Sciences)

A recently developed, highly sensitive method of detecting lymphoma cells in peripheral blood may enable more accurate diagnosis of aplasia following chemotherapy as well as earlier detection of relapse. In two published studies the method has been highly efficient in finding abnormal cells in cases where none had been found by conventional methods. The new technique depends on the facts that (1) 80% of lymphomas, which are solid tumors of the lymph nodes, are composed of B lymphocytes, and (2) these malignant B cells are monoclonal in origin. This means that the immunoglobulin on the surface of the malignant B lymphocytes is all of one type and contains either κ or λ light chains exclusively. Since in the normal state there are approximately equal numbers of lymphocytes expressing κ or λ chains, the presence of malignant cells will skew the distribution of lymphocytes toward an excess of those bearing one
Rodeo: Making Refinements for Diverse Top-K Queries

Field: Computer Science (Physical Sciences)

Database queries are commonly used to select and rank items. With the increasing awareness of diversity, ensuring a diverse output (i.e., the representation of different groups in the top- k positions) becomes essential. To address this challenge, we present Rodeo, a system that generates minimal modifications to queries to enhance the diversity of the ranking they produce based on constraints over groups' representation in the top- k for various k values.
Complete mitochondrial genome of Myersina filifer (Gobiiformes, Gobiidae) and phylogenetic analysis of Gobiidae

Field: Agricultural and Biological Sciences (Life Sciences)

The complete mitogenome of Myersina filifer was sequenced, which is a closed double-stranded circular molecule of 16,505 bp, we analyzed the main features in terms of the genome organization, gene arrangement, and codon usage. The overall base composition includes A(27.4%), C(28.0%), T(27.1%) and G(17.5%). Moreover, the 13 protein-coding genes (PCGs) encode 3801 amino acids in total, 12 of which use the initiation codon ATG except COI uses GTG, most of them have a complete stop codon, whereas four PCGs end with the incomplete stop codon TA– or a single T. The phylogenetic tree based on the Neighbor-Joining method was conducted to provide relationship within Gobiidae, the NJ tree demonstrated that M. filifer has the closest relationship with M. macrostoma, which contributed to phylogenetic studies of Gobiidae and additional information of management for this species.
Practical and Secure Substring Search

Field: Computer Science (Physical Sciences)

In this paper we address the problem of outsourcing sensitive strings while still providing the functionality of substring searches. While security is one important aspect that requires careful system design, the practical application of the solution depends on feasible processing time and integration efforts into existing systems. That is, searchable symmetric encryption (SSE) allows queries on encrypted data but makes common indexing techniques used in database management systems for fast query processing impossible. As a result, the overhead for deploying such functional and secure encryption schemes into database systems while maintaining acceptable processing time requires carefully designed special purpose index structures. Such structures are not available on common database systems but require individual modifications depending on the deployed SSE scheme.
Selective Depletion and Enrichment Methods for the Analysis of Protein and Peptide Pools

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

This chapter contains sections titled: Introduction Peptide Mixture Refinement—General Approach to Combinatorial Peptidomics Chemistry and Materials for Selective Reaction of Unmodified Amino Acid Side Chains Selective Enrichment of Posttranslationally Modified Amino Acids Concluding Remarks
Model-Based Continuous Integration Testing of Responsiveness of Web Applications

Field: Computer Science (Physical Sciences)

The problem we tackle deals with testing responsiveness of Web applications across different user platforms, which are combinations of browsers, operating systems, devices and device orientation. Because of the variety of such environmental conditions, the behavior of the Web application (the application under test, AUT) can differ widely. Failure modes such as buttons not being visible, feedback boxes located in the wrong position, user interface (UI) components not behaving properly are very common and may affect only some of the platforms. Even when practitioners adopt services such as Browserstack that provide virtualization of user platforms, identification of such defects is very demanding, and as a consequence it is seldom performed in a continuous integration fashion. Unfortunately, layout requirements of UIs tend to change very frequently, and the result is that changes are often not tested well enough. What is needed is a software test automation solution. We tackled this problem by adopting a model-based approach, centered on models that represent the data manipulated by the UI and its behavior. A compiler reads these models, integrates model annotations providing details about UI implementation and about test oracles, and produces Java source code of a test harness. The test harness hides details about the Document Object Model (DOM), about the particular test driver that is used to drive the AUT, and details about the oracles that can be used to check if the AUT satisfies certain properties, such as those dealing with its layout. The test engineer can write high level code for jUnit/TestNG test cases, which can then be run on all the desired platforms, using Selenium as a driver.
Generalistic Assessments of the Potential of Medical Drones in Urban Environment

Field: Health Professions (Health Sciences)

At the current development stage, the lower airspace above urban areas is only used to a very limited extent. Recent developments in the drone industry are making this area more accessible. The leading use case for drone applications is currently seen in the medical sector. Individual evidence shows that the use of drones to transport medical personnel for first medical response brings significant improvements in terms of cost and response time. Advantages in urban applications are seen as promising by some research projects, but this is not scientifically proven yet. This study deals with the simulation of transportation times of medical proposals by ambulance and drone in the metropolitan region of Stavanger and the comparison of transport times. The proposed methodology develops transferable results from concrete use-cases. By using a drone 80% of the expected operations can benefit from a reduction in transport time of up to 10 minutes with a variation of +/- 4 minutes through adjusted flight speeds due to weather conditions and variations in ambulance travel times due to different traffic volumes. The data set cleaned for the local special cases shows potential for a reduction of up to 20 minutes for the remaining operations, while the extracted individual cases even showing improvements of up to 60 minutes.
Carbon-13 nuclear magnetic resonance and infrared spectroscopic studies of carbon-13 monoxide binding to rabbit hemoglobin

Field: Chemistry (Physical Sciences)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTCarbon-13 nuclear magnetic resonance and infrared spectroscopic studies of carbon-13 monoxide binding to rabbit hemoglobinN. A. Matwiyoff, P. J. Vergamini, T. E. Needham, C. T. Gregg, J. A. Volpe, and W. S. CaugheyCite this: J. Am. Chem. Soc. 1973, 95, 13, 4429–4431Publication Date (Print):June 27, 1973Publication History Published online1 May 2002Published inissue 27 June 1973https://pubs.acs.org/doi/10.1021/ja00794a054https://doi.org/10.1021/ja00794a054research-articleACS PublicationsRequest reuse permissionsArticle Views34Altmetric-Citations21LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
The Relationship Between Goal Types and Job Performance: Exploring the Moderating Effect of Self-Efficacy

Field: Psychology (Social Sciences)

Motivation to improve performance within the workplace has long been an area of interest for leaders in organizations. While goal setting is often used as a motivational theory to improve performance, further guidelines are needed to ensure the full positive effects of goal setting are realized. The purpose of this study was to understand the effect of four goal types (outcome, performance, process, and personal-best goals) on performance in the workplace. Another purpose of this study was to examine whether the effectiveness of goal types may change as a function of self-efficacy. Performance was measured in two ways: completeness and correctness. Results of an experiment completed by 89 participants revealed that when performance was measured by completeness, performance and outcome goals resulted in significantly higher performance than process goals and personal best goals. Additionally, levels of self-efficacy only had a significant impact when performance was measured as correctness. These results suggest that employers should aim to incorporate performance or outcome goals in the motivation plans of their employees so as to further improve performance.
Environmental factors influencing the distribution and prevalence ofSchistosoma haematobiumin school attenders of ILembe and uThungulu Health Districts, KwaZulu-Natal Province, South Africa

Field: Medicine (Health Sciences)

Schistosoma haematobium infection is reported to facilitate the development of urogenital diseases. Its symptoms include haematuria, dysuria and tiredness, and it may cause cognitive decline in children. The prevalence of S. haematobium infection needs to be known in endemic areas and a mass treatment programme against the disease implemented. The aim of this study was to investigate the prevalence and intensity of S. haematobium infection in ILembe and uThungulu health districts, using the major symptom, haematuria, as an indicator. A total of 6 265 urine samples, from 96 rural schools, was collected for analysis using dipsticks. The prevalence of haematuria in the ILembe health district was 37% (95% CI, 35–39%) for boys and 39% (95% CI, 37–41%) for girls. The prevalence of haematuria in the uThungulu health district was 56% (95% CI, 53– 59%) and 53% (95% CI, 50–56%) for girls and boys, respectively. Light-intensity infection was the most common infection level in both health districts. A negative relationship was observed between prevalence and altitude (r = −0.262, p = 0.009); whereas, we found a slight, though significant, positive association with mid-summer temperatures (r = 0.234, p = 0.021). Associations between prevalence and distance of school to the nearest river were non-significant.
Remote monitoring of landfill gases from solid waste landfill

Field: Environmental Science (Physical Sciences)

Landfill gas is primarily made up from Methane (CH4) and Carbon Dioxide (CO2). Global methane emissions from landfill are estimated to be between 30 and 70 million tonnes each year. Methane makes landfill gas explosive when it is present in the 5-15% concentration range. Landfill directives state that licensed landfills in the UK and Ireland should never exceed a concentration of 1% for CH4 and 1.5% for CO2, at perimeter borehole wells[1]. However, the EPA has cited large noncompliance with suggested targets [2]. This is partly due to the single point nature of the CH4 and CO2 sampling, and also the low sampling frequency. This research group has developed a dual autonomous CH4 and CO2 sensor, and has successfully run extensive field trials over the last 2 years. Currently using the system, three live data streams are being populated logging methane and carbon dioxide values in real-time on three different landfill sites.