cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Motivations to Cultivate an Urban Orchard: the Pensioners in Vallodlid (Spain) study case
Creators: name: Cascallar, Victoria Cabo
name: Grande, Felix Revilla
name: De Meneses, Beatriz Urbano Lopez
name: Cascallar, Victoria Cabo
name: Grande, Felix Revilla
name: De Meneses, Beatriz Urbano Lopez
Publisher: name: Unknown
Year: 2014
Subjects: subject: Community/Rural/Urban Development
subject: Institutional and Behavioral Economics
subject: Social and demographic profile
subject: significance analyses
subject: urban ecology
subject: behaviour

description: Social movements and local administrations promote urban community allotments since the 70's. The aim of the work was to analyse the motivations to cultivate an allotment by the pensioners in Valladolid (Spain) according to their social and demographic profile in order to help the promoters to better cover their expectations. A qualitative analyse was carried out and personal interviews to the pensioners were developed. A Chi-squared significance analyse were used to obtain the relationship between the social-demographic and the motivations variables. The pensioners cultivate for leisure, healthy and to obtain foodstuffs mainly. The study confirmed that the motivations depend on the pensioner profile. The origin and the profession sector determine the pensioner motivations to cultivate a community allotments in Vallodolid city.
Lattice QCD Study of the Nucleon-Charmonium Interaction
Creators: name: Sugiura, Takuya
name: Ikeda, Yoichi
name: Ishii, Noriyoshi
Publisher: name: arXiv
Year: 2019
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: The $J/ψ$-nucleon interaction is studied by lattice QCD calculations. At the leading order of the derivative expansion, the interaction consists of four terms: the central, the spin-spin, and two types of tensor forces. We determine these spin-dependent forces quantitatively by using the time-dependent HAL QCD method. We find that the spin-spin force is the main cause of the hyperfine splitting between the $J=1/2$ and the $J=3/2$ states, while the two tensor forces have much smaller effects on the S-wave scattering processes.
description: 5 pages, 4 figures
Wave attenuation to clock sojourn times
Creators: name: Benjamin, Colin
name: Jayannavar, A. M.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The subject of time in quantum mechanics is of perennial interest especially because there is no observable for the time taken by a particle to transmit (or reflect) from a particular region. Several methods have been proposed based on scattering phase shifts and using different quantum clocks, where the time taken is clocked by some external input or indirectly from the phase of the scattering amplitudes. In this work we give a general method for calculating conditional sojourn times based on wave attenuation. In this approach clock mechanism does not couple to the Hamiltonian of the system. For simplicity, specific case of a delta dimer is considered in detail. Our analysis re-affirms recent results based on correcting quantum clocks using optical potential methods, albeit in a much simpler way.
description: 4 pages, 5 figures. Minor corrections made and journal reference added
Valgus canaliculatus
Creators: name: Freese, Edwin L.
name: Veal, Doug A.
name: Lago, Paul K.
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Cetoniidae
Valgus
Valgus canaliculatus

description: Valgus canaliculatus (Olivier, 1789)
IWUC; DAVC.
Collection dates: May.
 Specimen label data: First known Iowa specimens and NEW STATE RECORD: Mt. Pleasant, Henry Co., Iowa, 17 May 1932, Hagedorn (IWUC); Savage Woods State Preserve, Henry Co., Iowa, 3 May 2004, under bark, DAV (DAVC).
Only two known specimens from Iowa.
County record: Henry.
description: Published as part of Freese, Edwin L., Veal, Doug A. & Lago, Paul K., 2020, The Scarabaeoidea (Coleoptera) of Iowa: An annotated checklist, pp. 1-83 in Insecta Mundi 2020 (787) on page 52, DOI: 10.5281/zenodo.5353792
Aesthetic assessment of the landscape through the AHP and visual-perceptive methods. Application to the olive-growing landscape of the "Piana di Gioia Tauro"
Creators: name: De Slavo, M. Cristina
name: Valles-Planells, Maria
name: Guitart, Vincente Estruch
name: Nicolo, Bruno Francesco
name: De Slavo, M. Cristina
name: Valles-Planells, Maria
name: Guitart, Vincente Estruch
name: Nicolo, Bruno Francesco
Publisher: name: Unknown
Year: 2014
Subjects: subject: Community/Rural/Urban Development
subject: Land Economics/Use
subject: Rural landscape
subject: Analytic Hierarchy Process (AHP)
subject: Visual preferences
subject: Social perception

description: The paper aims to compare two methods of evaluations of the landscape (AHP and visual-perception methods), in order to determine whether both methods maintain the same ranking of landscape preferences and assess their advantages and disadvantages. The methods belong to the non-monetary valuation methodologies of the landscape and are based on surveys, which seek to assess the visual perception that the interviewee has of the landscape. Operationally, we proceeded to landscape evaluation of olive-growing cultivation in the "Plain of Gioia Tauro". This area belongs to the province of Reggio Calabria (Italy) and is located on the southern Tyrrhenian coast, where there is a significant presence of to century-old olive plants, which make the area of great environmental and landscape value. In the work we have distinguished four types of olive-growing landscape that have been compared in the evaluation process of the visual quality through the two methodologies.
Control of grey mould disease on strawberry using the effective agent, Bacillus amyloliquefaciens Y1
Creators: name: Chaw Ei Htwe Maung
name: Baek, Woon Seon
name: Choi, Tae Gyu
name: Kim, Kil Yong
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: 60506 Virology

description: This study was conducted to investigate the effect of Bacillus amyloliquefaciens Y1 on the control of grey mould disease caused by Botrytis cinerea and subsequent growth promotion of strawberry. Strain Y1 strongly inhibited mycelial growth of B. cinerea on different media with the highest inhibition of 61.22% on V8 juice agar medium. The higher the bacterial culture filtrate (BCF) concentration of strain Y1 blended in the PDA medium, the stronger the rate of inhibition on mycelial growth of B. cinerea. Microscopic observation revealed that the hyphal structure of the fungal pathogen was severely affected by the BCF indicating abnormal growth with excessive branching and swelling. Strain Y1 showed the promising ability to suppress grey mould disease under in vivo conditions and significantly lessened disease severity on flowers and fruits leading to an increase in disease control value when compared to fungicide treatment. Moreover, application of strain Y1 resulted in a significant promotion of strawberry plants with higher values in most growth characteristics compared to other treatments. The detection of higher levels of the defence-related enzyme, β-1,3-glucanase in the Y1-treated plants indicated that induction of resistance by this strain was at least partly involved in disease suppression. Even though there were reductions in the overall numbers of the soil bacterial population in the Y1-treated plants, no significant impact on the growth of strawberry was observed. Based on our results, strain Y1 is a promising candidate for environment-friendly disease control strategies.
Origin Denomination Barahona (D.R.) coffee farms characterization to improve the marketing position.
Creators: name: Bravo, Ana Belen Collazos
name: Pujols, Angel Pimentel
name: De Meneses, Beatriz Urbano Lopez
name: Bravo, Ana Belen Collazos
name: Pujols, Angel Pimentel
name: De Meneses, Beatriz Urbano Lopez
Publisher: name: Unknown
Year: 2014
Subjects: subject: Crop Production/Industries
subject: Research and Development/Tech Change/Emerging Technologies
subject: Differentiated coffee
subject: coffee growers
subject: technological divide
subject: test of significance
subject: cluster

description: The Barahona coffee origin denomination (Dominican Republic) is produces in Pedernales, Barahona, Idependencia and Bahoruco province between altitiudes 500-1,500 metres. The aim of the work was to characterize the technological level of the Barahona coffee farms to improve market position. By a panel discussion the technological variables were defined between the items to be explained, farm profitability as indicator of the technological level, and the explanatory variable was calculated by means of a chi-squared test of significance between the items. Two clusters were obtained, i) low technological level coffee growers and ii) medium technological coffee growers oriented to the market. The results showed the technological divide in developing countries. The difference between the coffees of Barahona commercialized could affect the consumers trust and damage the image of all the coffee growers. It is needed uniformity in the coffee offer to improve its market position and to impede other coffees to be sold under this label.
International cooperation strategies for strengthening food sovereignty: learning from organizations in transition's practices
Creators: name: Guareschi, Marianna
name: Hernandez, David Gallar
name: Rivera-Ferre, Marta G.
name: Guareschi, Marianna
name: Hernandez, David Gallar
name: Rivera-Ferre, Marta G.
Publisher: name: Unknown
Year: 2014
Subjects: subject: Food Consumption/Nutrition/Food Safety
subject: Food Security and Poverty
subject: International Relations/Trade
subject: International Cooperation
subject: cooperation practices
subject: Food sovereignty
subject: agroecology

description: In a contest of double crisis, the alimentary one and the crisis of NGOs and international cooperation effectiveness and credibility, proposal coming from peasants and social organizations for a food sovereignty could represent a new common objective reachable from North and South's society affords. Through a qualitative methodology based on semi-structured interviews with experts and technical staff of organizations that include food sovereignty among theirs working areas, this work claim to understand projects' execution mains problems and to pick out significant learning from organizations' practices experimented to promote food sovereignty strategy in cooperation with its allied; that requires a restucturation of its internal structure, activities, relationships with partners and donors under a process view and a long-term strategy.
Genetic variation in the maternal vitamin D receptor FokI gene as a risk factor for recurrent pregnancy loss
Creators: name: Barišić, Anita
name: Pereza, Nina
name: Hodžić, Alenka
name: Krpina, Milena Gašparović
name: Saša Ostojić
name: Peterlin, Borut
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: Purpose: Recurrent pregnancy loss (RPL) is a reproductive disorder defined as the loss of two or more pregnancies before 24 weeks of gestation. Despite the fact that several mechanisms have been previously described for the pathogenesis of RPL, the causes of ∼50% of cases remain unknown. However, recent studies indicate association of vitamin D deficiency with adverse pregnancy outcome, including RPL. The vitamin D receptor (VDR) is a crucial mediator of the pleiotropic cellular effects of vitamin D. Its function is influenced by several single nucleotide polymorphisms (SNPs). The main objective of this study is to assess whether maternal VDR SNPs are associated with the risk of RPL in Slovenian and Croatian women. Methods: A case–control study including 320 women with RPL and control women is designed to examine the potential association of VDR polymorphisms (FokI rs222857, Cdx2 rs11568820, and Taq1 rs731236) with RPL. Genotyping is performed using polymerase chain reaction and restriction fragment length polymorphism methods. Results: We find a statistically significant higher frequency of the rs222857 CC genotype (χ2 = 6.61, p = .036) and C allele (χ2 = 5.93, p = .015) in RPL women compared to controls. Subsequently, the odds for RPL for the rs222857 are increased under the recessive (CCvsCT + TT: OR = 1.78; 95% CI = 1.12–2.82; p = .015) and the codominant (CCvsTT: OR = 2.21; 95% CI = 1.08–4.53; p = .029; CCvsCT: OR = 1.68; 95% CI = 1.04–2.72; p = .036) genetic models. The other two analyzed polymorphisms did not show any statistical significant result. Conclusions: Our results suggest that variations in the maternal VDR FokI gene might be associated with RPL in Slovenian and Croatian women.
The Thermodynamic Limit in Mean Field Spin Glass Models
Creators: name: Guerra, Francesco
name: Toninelli, Fabio L.
Publisher: name: arXiv
Year: 2002
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We present a simple strategy in order to show the existence and uniqueness of the infinite volume limit of thermodynamic quantities, for a large class of mean field disordered models, as for example the Sherrington-Kirkpatrick model, and the Derrida p-spin model. The main argument is based on a smooth interpolation between a large system, made of N spin sites, and two similar but independent subsystems, made of N_1 and N_2 sites, respectively, with N_1+N_2=N. The quenched average of the free energy turns out to be subadditive with respect to the size of the system. This gives immediately convergence of the free energy per site, in the infinite volume limit. Moreover, a simple argument, based on concentration of measure, gives the almost sure convergence, with respect to the external noise. Similar results hold also for the ground state energy per site.
description: 12 pages
Depth from Small Motion using Rank-1 Initialization
Creators: name: Fasogbon, Peter O.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Depth from Small Motion (DfSM) (Ha et al., 2016) is particularly interesting for commercial handheld devices because it allows the possibility to get depth information with minimal user effort and cooperation. Due to speed and memory issue on these devices, the self calibration optimization of the method using Bundle Adjustment (BA) need as little as 10-15 images. Therefore, the optimization tends to take many iterations to converge or may not converge at all in some cases. This work propose a robust initialization for the bundle adjustment using the rank-1 factorization method (Tomasi and Kanade, 1992), (Aguiar and Moura, 1999a). We create a constraint matrix that is rank-1 in a noiseless situation, then use SVD to compute the inverse depth values and the camera motion. We only need about quarter fraction of the bundle adjustment iteration to converge. We also propose grided feature extraction technique so that only important and small features are tracked all over the image frames. This also ensure speedup in the full execution time on the mobile device. For the experiments, we have documented the execution time with the proposed Rank-1 initialization on two mobile device platforms using optimized accelerations with CPU-GPU co-processing. The combination of Rank 1-BA generates more robust depth-map and is significantly faster than using BA alone.
description: 8 pages, 6 figures
Crítica de libros. Molinero, Fernando. Atlas de los paisajes agrarios de España. Las clases de paisajes agrarios de la España atlántica; y Las clases de paisajes agrarios de la España mediterránea y de la España subtropical canaria
Creators: name: Garcia, Manuel Martin
name: Garcia, Manuel Martin
Publisher: name: Unknown
Year: 2014
Subjects: Agricultural and Food Policy

description: Book Review
title: High-Performance Anodes for Electrocatalytic Ozone Production and Organic Synthesis
Creators: name: Hu, Mengqing
Publisher: name: Griffith University
Year: 2024
Subjects: subject: anode
subject: organic synthesis
subject: electrochemical ozone production

description: To advance green chemical production, electrocatalytic anodization technology has gained attention for generating highly active intermediates under mild conditions. Unlike conventional methods, this approach utilizes electrons as clean oxidants to drive redox processes, eliminating the need for costly metal catalysts or hazardous oxidants. Precise control of current and voltage prevents exothermic or side reactions, creating a mild and controlled reaction environment that enhances efficiency and reduces energy consumption. This technology shows potentials in producing green oxidants and synthesizing organics. This thesis aims to optimize and design high-performance anodes to enhance electrochemical ozone production (EOP) and organic adipic acid (AA) synthesis, thereby promoting the role of electrocatalytic anodization in green chemistry. [...]
ICOBBI2019 - Valendy Pradita - Study of Demographic Factors and Financial Literation and its Effect on Individual Investment Decision in Generation X and Generation Y
Creators: name: Valendy Pradita
name: Himapas STIE Perbanas Surabaya
Publisher: name: figshare
Year: 2019
Subjects: Economics

description: ICOBBI2019 - Valendy Pradita - Study of Demographic Factors and Financial Literation and its Effect on Individual Investment Decision in Generation X and Generation Y
Kondo effect and anti-ferromagnetic correlation in transport through tunneling-coupled double quantum dots
Creators: name: Dong, Bing
name: Lei, X. L.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We propose to study the transport through tunneling-coupled double quantum dots (DQDs) connected in series to leads, using the finite-$U$ slave-boson mean field approach developed initially by Kotliar and Ruckenstein [Phys. Rev. Lett. {\bf 57}, 1362 (1986)]. This approach treats the dot-lead coupling and the inter-dot tunnelling $t$ nonperturbatively at arbitrary Coulomb correlation $U$, thus allows the anti-ferromagnetic exchange coupling parameter $J=4t^2/U$ to appear naturally. We find that, with increasing the inter-dot hopping, the DQDs manifest three distinct physical scenarios: the Kondo singlet state of each dot with its adjacent lead, the spin singlet state consisting of local spins on each dot and the doubly occupied bonding orbital of the coupled dots. The three states exhibit remarkably distinct behavior in transmission spectrum, linear and differential conductance and their magnetic-field dependence. Theoretical predictions agree with numerical renormalization group and Lanczos calculations, and some of them have been observed in recent experiments.
description: 5 pages, 5 figures. Physics Review B (Rapid Communication) (in press)
Analyses of agri-environmental schemes aimed at the protection of farmland birds in extensive drylands
Creators: name: Inglesias, Eva
name: Lossada, Alfonso
name: Bardaji, Isabel
name: Loureiro, Maria
name: Inglesias, Eva
name: Lossada, Alfonso
name: Bardaji, Isabel
name: Loureiro, Maria
Publisher: name: Unknown
Year: 2015
Subjects: subject: Environmental Economics and Policy
subject: Land Economics/Use
subject: Livestock Production/Industries
subject: Agri-environmental schemes
subject: dryland systems
subject: biodiversity
subject: farmland birds
subject: cost analysis

description: Farmland birds are one of the most endangered European ornithological communities. Spain has a large farmland area that holds over 90% of the European populations of eight species included in EFBI (European Farmland Bird Index) (Butler et al, 2010). Agri-environmental measures in Spain face a major challenge of environmental conservation with impact beyond our borders. The aim of this work is to evaluate farmers' incentive to participate and to conduct a comparative analysis of agri-environmental measures aimed at the protection of farmland birds in the regions of Aragon, Castilla La Mancha, Castilla y Leon, Catalonia and Extremadua. The economic analysis of contract requirements shows the major opportunity costs. Finally, several recommendations arise in order to increase farmer participation and improving scope of agri-environmental measures.
Machine learning-guided synthesis of advanced inorganic materials
Creators: name: Tang, Bijun
name: Lu, Yuhao
name: Zhou, Jiadong
name: Wang, Han
name: Golani, Prafful
name: Xu, Manzhang
name: Xu, Quan
name: Guan, Cuntai
name: Liu, Zheng
Publisher: name: arXiv
Year: 2019
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Machine Learning (cs.LG)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Synthesis of advanced inorganic materials with minimum number of trials is of paramount importance towards the acceleration of inorganic materials development. The enormous complexity involved in existing multi-variable synthesis methods leads to high uncertainty, numerous trials and exorbitant cost. Recently, machine learning (ML) has demonstrated tremendous potential for material research. Here, we report the application of ML to optimize and accelerate material synthesis process in two representative multi-variable systems. A classification ML model on chemical vapor deposition-grown MoS2 is established, capable of optimizing the synthesis conditions to achieve higher success rate. While a regression model is constructed on the hydrothermal-synthesized carbon quantum dots, to enhance the process-related properties such as the photoluminescence quantum yield. Progressive adaptive model is further developed, aiming to involve ML at the beginning stage of new material synthesis. Optimization of the experimental outcome with minimized number of trials can be achieved with the effective feedback loops. This work serves as proof of concept revealing the feasibility and remarkable capability of ML to facilitate the synthesis of inorganic materials, and opens up a new window for accelerating material development.
Generalized Yang-Mills actions from Dirac operator determinants
Creators: name: Langmann, Edwin
Publisher: name: arXiv
Year: 2001
Subjects: subject: Mathematical Physics (math-ph)
subject: Functional Analysis (math.FA)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 81T13; 58J42; 35S99

description: We consider the quantum effective action of Dirac fermions on four dimensional flat Euclidean space coupled to external vector- and axial Yang-Mills fields, i.e., the logarithm of the (regularized) determinant of a Dirac operator on flat R^4 twisted by generalized Yang-Mills fields. According to physics folklore, the logarithmic divergent part of this effective action in the pure vector case is proportional to the Yang-Mills action. We present an explicit computation proving this fact, generalized to the chiral case. We use an efficient computation method for quantum effective actions which is based on calculation rules for pseudo-differential operators and which yields an expansion of the logarithm of Dirac operators in local and quasi-gauge invariant polynomials of decreasing scaling dimension.
description: LaTex, 26 pages
Reviewer_Feedback_2.pdf from DDE-Find: learning delay differential equations from noisy, limited data
Creators: name: Stephany, Robert
Publisher: name: The Royal Society
Year: 2025
Subjects: classificationCode: 460299
subject: Artificial intelligence not elsewhere classified
classificationCode: 490199
subject: Applied mathematics not elsewhere classified
classificationCode: 490303
subject: Numerical solution of differential and integral equations
classificationCode: 490409
subject: Ordinary differential equations, difference equations and dynamical systems
classificationCode: 490410
subject: Partial differential equations

description: Delay differential equations (DDEs) are a class of differential equations that can model diverse scientific phenomena. However, identifying the parameters, especially the time delay, that make a DDE’s predictions match experimental results can be challenging. We introduce DDE-Find, a data-driven framework for learning a DDE’s parameters, time delay and initial condition function. DDE-Find uses an adjoint-based approach to efficiently compute the gradient of a loss function with respect to the model parameters. We motivate and rigorously prove an expression for the gradients of the loss using the adjoint. DDE-Find builds upon recent developments in learning DDEs from data and delivers the first complete framework for learning DDEs from data. Through a series of numerical experiments, we demonstrate that DDE-Find can learn DDEs from noisy, limited data.
FINANCIAL EXCLUSION OF FARMERS AND RURAL ENTREPRENEURS
Creators: name: Kata, Ryszard
name: Walenia, Alina
name: Kata, Ryszard
name: Walenia, Alina
Publisher: name: Unknown
Year: 2015
Subjects: subject: Agribusiness
subject: Agricultural and Food Policy
subject: Agricultural Finance
subject: Community/Rural/Urban Development
subject: Consumer/Household Economics
subject: Crop Production/Industries
subject: Demand and Price Analysis
subject: Environmental Economics and Policy
subject: Farm Management
subject: Financial Economics
subject: Food Consumption/Nutrition/Food Safety
subject: Food Security and Poverty
subject: Health Economics and Policy
subject: Industrial Organization
subject: Institutional and Behavioral Economics
subject: International Development
subject: International Relations/Trade
subject: Labor and Human Capital
subject: Land Economics/Use
subject: Livestock Production/Industries
subject: Marketing
subject: FOS: Economics and business
subject: Political Economy
subject: Production Economics
subject: Productivity Analysis
subject: Public Economics
subject: Research and Development/Tech Change/Emerging Technologies
subject: Research Methods/ Statistical Methods
subject: Resource /Energy Economics and Policy
subject: Risk and Uncertainty
subject: Teaching/Communication/Extension/Profession
subject: financial exclusion
subject: banking services
subject: farmers
subject: rural entrepreneurs

description: Financial exclusion appears to be greater in rural areas than in cities. The article concludes that the problem is connected not only with the people of low incomes but also individuals running their own businesses e.g. farmers and small entrepreneurs. The extent and reasons for fi nancial exclusion among such entities have been identifi ed and accompanied by the analysis of access to banking services – the key to effective management. The source of empirical data relied on survey questionnaires of farmers and small entrepreneurs in the rural areas in the south-eastern region of Poland. It was stated that in case of persons running their own businesses fi nancial exclusions is mainly connected with a limited access to bank credit, yet the reasons for this situation are diverse. Apart from the internal factors associated with businesses (e.g. low and unstable incomes, aversion to risk, lack of confi dence in banks etc.), signifi cant determinants lie on the side of banks and the structure of fi nancial system in rural areas.
TIMING THE NUMBERS: UNDERSTANDING CORPORATE FINANCIAL REPORTING LAG IN FRANCE
Creators: name: Isabelle, Renard
Publisher: name: klover journals
Year: 2024
Subjects: Financial Reporting
Timing Decisions
Disclosure Policies
Reporting Lag
Accounting Information

description: Financial research has extensively delved into the impact of discretionary management practices, particularly those related to opportunistic accounting choices and disclosure policies. Existing studies have primarily concentrated on the management's release of earnings and sales forecasts, examination of financial statements and footnotes, and the discretionary aspects of accounting choices or conference call presentations (Healy and Palepu, 2001; Verrechia, 2001). However, a notable gap in the literature pertains to the timing decisions made by managers when releasing accounting information. This study addresses the underexplored area of managers' timing decisions concerning the release of accounting information, shedding light on the significance of reporting lag and disclosure timing. Unlike the prevalent focus on intrinsic value in financial figures, this research directs attention towards understanding when managers choose to unveil accounting information. Notably, the limited attention to this topic, particularly within the U.S., raises questions about whether financial markets place less importance on the timing of disclosures. Historically, surveys have primarily centered on the determination of when managers decide to release accounting information. Early investigations by Givoli and Palmon (1982) and Zeghal (1984) analyzed the timeliness of accounting reports, exploring the temporal aspects of information disclosure. However, the U.S. context and its unique financial market dynamics have not received sufficient scrutiny in this regard. This research seeks to bridge this gap by delving into the nuanced timing decisions made by U.S. managers in releasing accounting information. In addition to synthesizing existing literature on the timeliness of accounting reports, this study also draws on the work of Sengupta (2004), who pioneered the examination of the time when firms opt to reveal quarterly accounting earnings. Sengupta's focus on the number of days between the end of the fiscal period and the quarterly earnings announcement dates provides valuable insights into the temporal dimensions of financial reporting. By adopting a comprehensive approach, this research contributes to the existing body of knowledge by not only addressing the broader question of when managers release accounting information but also by providing a nuanced understanding of the temporal dynamics involved. The findings of this study are expected to have implications for financial markets, regulatory bodies, and practitioners, offering insights that can inform decision-making processes related to financial reporting
Weakly Supervised Semantic Segmentation of Satellite Images
Creators: name: Nivaggioli, Adrien
name: Randrianarivo, Hicham
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: When one wants to train a neural network to perform semantic segmentation, creating pixel-level annotations for each of the images in the database is a tedious task. If he works with aerial or satellite images, which are usually very large, it is even worse. With that in mind, we investigate how to use image-level annotations in order to perform semantic segmentation. Image-level annotations are much less expensive to acquire than pixel-level annotations, but we lose a lot of information for the training of the model. From the annotations of the images, the model must find by itself how to classify the different regions of the image. In this work, we use the method proposed by Anh and Kwak [1] to produce pixel-level annotation from image level annotation. We compare the overall quality of our generated dataset with the original dataset. In addition, we propose an adaptation of the AffinityNet that allows us to directly perform a semantic segmentation. Our results show that the generated labels lead to the same performances for the training of several segmentation networks. Also, the quality of semantic segmentation performed directly by the AffinityNet and the Random Walk is close to the one of the best fully-supervised approaches.
On the integrability of geodesic flows of submersion metrics
Creators: name: Jovanovic, Bozidar
Publisher: name: arXiv
Year: 2002
Subjects: subject: Mathematical Physics (math-ph)
subject: Dynamical Systems (math.DS)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 70H06, 37J35, 53D25

description: Suppose we are given a compact Riemannian manifold (Q,g)with completely integrable geodesic flow. Let G be a compact connected Lie group acting freely on Q by isometries. The natural question arises: will the geodesic flow on Q/G equipped with the submersion metric be integrable? Under one natural assumption, we prove that the answer is affirmative. New examples of manifolds with completely integrable geodesic flows are obtained.
description: 10 pages, minor changes
ICOBBI2019 - Monika Ayuningtyas - Organizational Commitment as a Mediator of The Relationship between Islamic Work Ethic and Employee Attitude towards Organizational Change in Islamic Bank XYZ Region East Java, Bali and South East Nusa
Creators: name: Ayuningtyas, Monika
name: Himapas STIE Perbanas Surabaya
name: Tatik Suryani
Publisher: name: figshare
Year: 2019
Subjects: subject: Economics
subject: 150201 Finance
subject: FOS: Economics and business
subject: 150203 Financial Institutions (incl. Banking)

description: ICOBBI2019 - Monika Ayuningtyas - Organizational Commitment as a Mediator of The Relationship between Islamic Work Ethic and Employee Attitude towards Organizational Change in Islamic Bank XYZ Region East Java, Bali and South East Nusa
Valgus seticollis
Creators: name: Freese, Edwin L.
name: Veal, Doug A.
name: Lago, Paul K.
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Cetoniidae
Valgus
Valgus seticollis

description: Valgus seticollis (Palisot de Beauvois, 1805)
Putnam 1876; Jameson and Swoboda 2005; IWUC; DAVC; ELFC.
Collection dates: April–June.
 Specimen label data: Mt. Pleasant, Henry Co., Iowa, 18 May 1933 [2], Miller, determined O. L. Cartwright (IWUC); Geode State Park, Henry Co., Iowa, 7 June 2001, dogwood flowers (Cornus spp.), DAV (DAVC); Waubonsie State Park, Fremont Co., Iowa, 16 April 2004, sweeping, ELF (ELFC); Shimek State Forest, Lee Co., Iowa, 7 May 2005, on stem of shrub, ELF (ELFC).
County records (Figure 189): Fremont, Henry, Lee, Louisa.
description: Published as part of Freese, Edwin L., Veal, Doug A. & Lago, Paul K., 2020, The Scarabaeoidea (Coleoptera) of Iowa: An annotated checklist, pp. 1-83 in Insecta Mundi 2020 (787) on page 52, DOI: 10.5281/zenodo.5353792
Appendices from DDE-Find: learning delay differential equations from noisy, limited data
Creators: name: Stephany, Robert
Publisher: name: The Royal Society
Year: 2025
Subjects: classificationCode: 460299
subject: Artificial intelligence not elsewhere classified
classificationCode: 490199
subject: Applied mathematics not elsewhere classified
classificationCode: 490303
subject: Numerical solution of differential and integral equations
classificationCode: 490409
subject: Ordinary differential equations, difference equations and dynamical systems
classificationCode: 490410
subject: Partial differential equations

description: This file contains four appendices including a proof of theorem 1, a discussion on how we evaluate the loss function, an ablation study comparing various DDE solvers, and results from additional experiments
Ataenius stercorator Fabricius 1775
Creators: name: Freese, Edwin L.
name: Veal, Doug A.
name: Lago, Paul K.
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Aphodiidae
Ataenius
Ataenius stercorator

description: Ataenius stercorator Fabricius, 1775.
This is a South American species listed by Putnam (1876).
 Ataenius wenzelii Horn, 1887. An Atlantic and Gulf coastal species listed by Cartwright (1974) from Clayton Co., Iowa. We suspect this was an accidental occurrence.
description: Published as part of Freese, Edwin L., Veal, Doug A. & Lago, Paul K., 2020, The Scarabaeoidea (Coleoptera) of Iowa: An annotated checklist, pp. 1-83 in Insecta Mundi 2020 (787) on page 53, DOI: 10.5281/zenodo.5353792
Herd Formation and Information Transmission in a Population: Non-universal behaviour
Creators: name: Zheng, Dafang
name: Hui, P. M.
name: Yip, K. F.
name: Johnson, N. F.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: We present generalized dynamical models describing the sharing of information, and the corresponding herd behavior, in a population based on the recent model proposed by Egu\'ıluz and Zimmermann (EZ) [Phys. Rev. Lett. 85, 5659 (2000)]. The EZ model, which is a dynamical version of the herd formation model of Cont and Bouchaud (CB), gives a reasonable model for the formation of clusters of agents and for actions taken by clusters of agents. Both the EZ and CB models give a cluster size distribution characterized by a power law with an exponent -5/2. By introducing a size-dependent probability for dissociation of a cluster of agents, we show that the exponent characterizing the cluster size distribution becomes model-dependent and non-universal, with an exponential cutoff for large cluster sizes. The actions taken by the clusters of agents generate the price returns, the distribution of which is also characterized by a model-dependent exponent. When a size-dependent transaction rate is introduced instead of a size-dependent dissociation rate, it is found that the distribution of price returns is characterized by a model-dependent exponent while the exponent for the cluster-size distribution remains unchanged. The resulting systems provide simplified models of a financial market and yield power law behaviour with an easily tunable exponent.
description: 15 pages, 3 figures, work presented at the EPS APFA3 conference(London, Dec., 2001)
Questions of perfect lenses by left handed materials
Creators: name: Ye, Zhen
Publisher: name: arXiv
Year: 2002
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We consider questions about the much discussed "perfect lenses" made by left handed materials. The transmission and reflection from a slab of left handed materials are investigated and the coefficients are obtained by the standard transfer matrix method. Possible limitations on such superlenses are explored. It is shown that the quality of the lenses can be significantly affected by the absorption that is necessarily present in the materials.
description: 3 figures
Lissodendoryx (Ectyodoryx) collinsi Goodwin & Brickle 2012, sp. nov.
Creators: name: Goodwin, Claire
name: Brickle, Paul
Publisher: name: Zenodo
Year: 2012
Subjects: Biodiversity
Taxonomy
Animalia
Porifera
Demospongiae
Poecilosclerida
Coelosphaeridae
Lissodendoryx
Lissodendoryx collinsi

description: Lissodendoryx (Ectyodoryx) collinsi sp. nov.
(Figure 9)
 Type material: Holotype: BELUM Mc 7676. Sample in 95% ethanol, tissue section and spicule preparation on slides; Green Island, Stromness, Site 1, South Georgia (54°09.448’S, 36° 39.752’W); depth 17.4m; collected by C. Goodwin, P. Brickle and S. Cartwright, 27 th November 2010.
 Paratype: BELUM Mc 7681. Sample in 95% ethanol, tissue section and spicule preparation on slides; Green Island, Stromness, Site 1, South Georgia (54°09.448’S, 36° 39.752’W); depth 17.4m; collected by C. Goodwin, P. Brickle and S. Cartwright, 27 th November 2010.
 Etymology: Named after Dr Martin Collins, current South Georgia Chief Executive Officer and Director of Fisheries, and member of the Shallow Marine Surveys Group, who generously provided accommodation to researchers pre- and post survey.
  External morphology:  In situ appearance: Massively encrusting peach sponge with irregular lobed surface. Texture of sponge surface smooth (Fig. 9a).
 Preserved appearance: White sponge, firm but compressible. Smooth ectosomal layer.
 Skeleton: The choanosomal skeleton is formed of a loose, confused, reticulation of columns of styles echinated by acanthostyles. Ascending columns up to 15 spicules thick joined by bundles of 1–3 spicules. Columns anastomise frequently. The ectosomal skeleton consists of brushes of tornotes (Fig. 9b).
 Spicules: Measurements from Mc7676.
 Choanosomal styles: 301(342)396 by 9.1 (12.3) 15.2µm. Smooth styles which come to an abrupt point (Fig. 9c).
 Echinating acanthostyles: 95(121)178 by 3.8(7.3)13.9µm. Parallel sided then coming to an abrupt point. Entirely spined with small, neat conical spines (Fig. 9d).
 Ectosomal tornotes: 216(256)295 by 5.4 (7.8)10.9µm (Fig. 9e, f).
 Microscleres: absent.
 Remarks: These specimens have been assigned to the genus Lissodendoryx on the basis of the presence of a choanosomal skeleton of styles and acanthostyles and the presence of ectosomal tornotes. The presence of echinating acanthostyles in the skeletal tracts assigns this to the subgenus Lissodendoryx (Ectyodoryx) (van Soest 2002a). All other Antarctic or South Atlantic species have chelae or sigma microscleres (Table 4).
description: Published as part of Goodwin, Claire & Brickle, Paul, 2012, Sponge biodiversity of South Georgia island with descriptions of fifteen new species, pp. 1-48 in Zootaxa 3542 on pages 16-17
On the Finiteness of the Number of Eigenvalues of Jacobi Operators below the Essential Spectrum
Creators: name: Luef, Franz
name: Teschl, Gerald
Publisher: name: arXiv
Year: 2001
Subjects: subject: Spectral Theory (math.SP)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 36A10, 39A70, 34B24, 34L05

description: We present a new oscillation criterion to determine whether the number of eigenvalues below the essential spectrum of a given Jacobi operator is finite or not. As an application we show that Kenser's criterion for Jacobi operators follows as a special case.
description: 9 pages
Spatially detail urban carbon mapping: Integration of top-down and bottom-up approaches. GeoComputation 2019
Creators: name: Yoshida, Takahiro
name: Yamagata, Yoshiki
name: Murakami, Daisuke
Publisher: name: The University of Auckland
Year: 2019
Subjects: subject: 90903 Geospatial Information Systems
subject: FOS: Environmental engineering

description: The objective of this study is estimating carbon emissions in the building and transportation sectors in the Sumida ward, Tokyo. We combine top-down and bottom-up approaches, which use spatial big data, for the estimating. The estimated emissions from individual buildings and road links are visualized by a three-dimensional (3D) mapping. The results suggest the usefulness of our approach for visualizing urban carbon emissions for supporting community-level carbon monitoring and management.
Modelling a mixed system of air pollution fee and tradable permits for controlling nitrogen oxide: a case study of Taiwan
Creators: name: Liao, Chao-Ning
name: Liao, Chao-Ning
Publisher: name: Unknown
Year: 2007
Subjects: subject: Resource /Energy Economics and Policy
subject: air pollution fee
subject: banking
subject: mixed-integer non-linear programming
subject: nitrogen oxide
subject: tradable permits

description: A mixed-integer non-linear programming model that minimises the total regulatory costs of controlling nitrogen oxide is used to investigate how a newly proposed permit trading scheme in Taiwan, which incorporates the features of banking and a nonone- to-one trading ratio, may affect firms’ emission reduction strategies and permit trading decisions. Compared to the previous regulation where only an air pollution fee is used, the new regulation that requires a reduction in emissions by 10 per cent from the emission level in the year 2000 for a 5 year period will increase the costs by 77 per cent, which is equivalent to US # 9.87 million. The design of banking and the increasing returns to scale characteristic of pollution control among firms might lead to an uneven reduction in emissions in each year. Setting a lower reservation rate for banking would, however, help maintain a more stable environmental quality without a significant loss to the government in terms of air pollution fee revenue.
title: Using Big Data Analysis Tools To Gain Insights Into University Student Experiences
Creators: name: Choi, Wonkyung
Publisher: name: Griffith University
Year: 2024
Subjects: subject: Big Data analysis
subject: learning analytics
subject: student experience
subject: sentiment analysis

description: This research aims to explore the application of Big Data analysis in understanding university student experiences. With the increasing globalisation and economic challenges facing higher education, it is crucial to enhance student satisfaction and outcomes to maintain institutional competitiveness. Traditional methods of gathering student feedback, such as surveys, can have issues such as low response rates and bias. Therefore, leveraging Big Data from platforms like RateMyProfessor.com presents an underexplored yet potentially transformative approach to gaining insights into student experiences. Below are the research questions: - What does Big Data analysis reveal about what is important to students undertaking university courses? - What is the best use of data analysis techniques for analysing big qualitative datasets about student experiences? The research employs the Student Experience Analysis (SEA) system, which integrates advanced Big Data analysis techniques, including Natural Language Processing (NLP). The methodology involves data pre-processing steps such as data cleaning, tokenisation, lemmatisation, and word clustering. The analysis focuses on extracting keywords and sentiment and categorising student comments. The research dataset is sourced from public reviews on RateMyProfessor.com, and the results are compared with existing literature on student experiences. The analysis identified the most frequent keyword clusters in student feedback. The findings indicate that student experiences are deeply influenced by teaching quality, support services, curriculum design, and assessment methods. Positive experiences are linked to clear communication, engaging teaching methods, and accessible support services, while negative experiences often stem from high perceived difficulty and lack of support. These findings suggest that Big Data analysis can effectively complement traditional survey methods by providing more comprehensive and timely insights into student experiences. This approach can help universities better understand and address the factors that influence student satisfaction and retention. By integrating Big Data techniques, institutions can enhance their educational offerings, improve student outcomes, and ultimately maintain their competitiveness in a globalised education market. This research underscores the potential for technological innovations to transform qualitative data analysis in higher education, paving the way for more responsive and data-driven decision-making.