Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributional Token Representations from Visual Features

In this study, we compare token representations constructed from visual features (i.e., pixels) with standard lookup-based embeddings. Our goal is to gain insight about the challenges of encoding a text representation from low-level features, e.g. from characters or pixels. We focus on Chinese, which—as a logographic language—has properties that make a representation via visual features challenging and interesting. To train and evaluate different models for the token representation, we chose the task of character-based neural machine translation (NMT) from Chinese to English. We found that a token representation computed only from visual features can achieve competitive results to lookup embeddings. However, we also show different strengths and weaknesses in the models’ performance in a part-ofspeech tagging task and also a semantic similarity task. In summary, we show that it is possible to achieve a text representation only from pixels. We hope that this is a useful stepping stone for future studies that exclusively rely on visual input, or aim at exploiting visual features of written language.
Polarization leakage in epoch of reionization windows - III. Wide- field effects of narrow-field arrays

Leakage of polarized Galactic diffuse emission into total intensity can potentially mimic the 21-cm signal coming from the epoch of reionization (EoR), as both of them might have fluctuating spectral structure. Although we are sensitive to the EoR signal only in small fields of view, chromatic side-lobes from further away can contaminate the inner region. Here, we explore the effects of leakage into the `EoR window' of the cylindrically averaged power spectra (PS) within wide fields of view using both observation and simulation of the 3C196 and North Celestial Pole (NCP) fields, two observing fields of the LOFAR-EoR project. We present the polarization PS of two one-night observations of the two fields and find that the NCP field has higher fluctuations along frequency, and consequently exhibits more power at high-k∥ that could potentially leak to Stokes I. Subsequently, we simulate LOFAR observations of Galactic diffuse polarized emission based on a model to assess what fraction of polarized power leaks into Stokes I because of the primary beam. We find that the rms fractional leakage over the instrumental k-space is 0.35 {;per cent}; in the 3C196 field and 0.27 {;per cent}; in the NCP field, and it does not change significantly within the diameters of 15°, 9°, and 4°. Based on the observed PS and simulated fractional leakage, we show that a similar level of leakage into Stokes I is expected in the 3C196 and NCP fields, and the leakage can be considered to be a bias in the PS.
Annual Report Readability and the Cost of Equity Capital

Abstract Using a large panel of U.S. public firms, we examine the relation between annual report readability and cost of equity capital. We hypothesize that complex textual reporting deters investors' ability to process and interpret annual reports, leading to higher information risk, and thus higher cost of equity financing. Consistent with our prediction, we find that greater textual complexity is associated with higher cost of equity capital. Our results are robust to a battery of sensitivity checks, including use of multiple estimation methods, alternative proxies of annual report readability and cost of equity capital measures, and potential endogeneity concerns. In addition, we hypothesize and test whether the nature of the relation between readability and cost of capital depends on the tone of 10-K filings. Our results show that the effect of annual report complexity on cost of equity is greater when disclosure tone is more negative or more ambiguous. We also find that the effect of annual report readability on cost of equity capital depends on the degree of stock market competition, level of institutional investors' ownership, and analyst coverage.
Improving the Method of Roof Fall Susceptibility Assessment Based on Fuzzy Approach

Retreat mining is always accompanied by a great amount of accidents and most of them are due to roof fall. Therefore, development of methodologies to evaluate the roof fall susceptibility (RFS) seems essential. Ghasemi et al. (2012) proposed a systematic methodology to assess the roof fall risk during retreat mining based on risk assessment classic approach. The main defect of this method is ignorance of subjective uncertainties due to linguistic input value of some factors, low resolution, fixed weighting, sharp class boundaries, etc. To remove this defection and improve the mentioned method, in this paper, a novel methodology is presented to assess the RFS using fuzzy approach. The application of fuzzy approach provides an effective tool to handle the subjective uncertainties. Furthermore, fuzzy analytical hierarchy process (AHP) is used to structure and prioritize various risk factors and sub-factors during development of this method. This methodology is applied to identify the susceptibility of roof fall occurrence in main panel of Tabas Central Mine (TCM), Iran. The results indicate that this methodology is effective and efficient in assessing RFS.
An Attenuated Adenovirus , ONYX-015 , As Mouthwash Therapy for Premal ignant

Purpose: Dysplastic lesions of the oral epithelium are known precursors of oral cancer. A significant proportion of oral dysplastic lesions have functional defects in p53 response pathways. The ONYX-015 adenovirus is selectively cytotoxic to cells carrying defects in p53-dependent signaling pathways. The current study sought to establish the feasibility and activity of ONYX-015 administered topically as a mouthwash to patients with clinically apparent and histologically dysplastic lesions of the oral mucosa. Patients and Methods: A total of 22 patients (19 assessable patients) were enrolled onto the study. ONYX-015 was administered on three different schedules to consecutive cohorts. Biopsies of the involved mucosa were performed to evaluate histologic response and changes in expression of putative markers of malignant potential, including p53, cyclin D1, and Ki-67. Serology was performed to measure antiadenoviral titers. Results: Histologic resolution of dysplasia was seen in seven (37%) of 19 patients, and the grade of dysplasia improved in one additional patient. The majority of responses were transient. No toxicity greater than grade 2 (febrile episode in one patient) was observed. Only one of seven patients demonstrated an increase in circulating antiadenoviral antibody titer while on therapy. Although responding and resistant lesions had similar mean p53 staining at baseline, histologic response correlated with a decrease in p53 positivity over time. Significant changes in cyclin D1 or Ki-67 were not observed. Viral replication was confirmed in two of three lesions examined. Conclusion: This novel approach to cancer prevention is tolerable, feasible, and has demonstrable activity. J Clin Oncol 21:4546-4552. © 2003 by American Society of Clinical Oncology.
Risk Management and Financial Stability in the Polish Public Hospitals: The Moderating Effect of the Stakeholders’ Engagement in the Decision-Making

Public healthcare organizations usually operate under significant financial strain and frequently strive for survival. Thus, in most cases, financial stability is a “holy grail” of public healthcare organizations in general and hospitals in particular. The financial stability itself is partly dependent upon the ability to manage risk associated with hospital actions. In the paper, we seek to address the question related to the moderating role of stakeholders’ engagement in the relationship between risk management practices and a hospital’s financial stability. To answer this question, we designed and carried out empirical research on a sample of 103 out of 274 Polish public hospitals operating at the first-level (closest to the patient). Results show that risk management practices are positively related to financial stability. Hospitals with well-developed risk management practices are better prepared and find appropriate answers to threats, helping them attain financial stability. We also found that stakeholder engagement acts as a moderator of the relationship between risk management practices and financial stability. Research results indicate that with more sophisticated risk management practices, stakeholder engagement in decision-making leads to statistically lower financial stability. On the other hand, high levels of stakeholders’ engagement help when risk management practices are underdeveloped.
Surmounting the sign problem in nonrelativistic calculations: A case study with mass-imbalanced fermions

The calculation of the ground state and thermodynamics of mass-imbalanced Fermi systems is a challenging many-body problem. Even in one spatial dimension, analytic solutions are limited to special configurations and numerical progress with standard Monte Carlo approaches is hindered by the sign problem. The focus of the present work is on the further development of methods to study imbalanced systems in a fully non-perturbative fashion. We report our calculations of the ground-state energy of mass-imbalanced fermions using two different approaches which are also very popular in the context of the theory of the strong interaction (Quantum Chromodynamics, QCD): (a) the hybrid Monte Carlo algorithm with imaginary mass imbalance, followed by an analytic continuation to the real axis; and (b) the Complex Langevin algorithm. We cover a range of on-site interaction strengths that includes strongly attractive as well as strongly repulsive cases which we verify with non-perturbative renormalization group methods and perturbation theory. Our findings indicate that, for strong repulsive couplings, the energy starts to flatten out, implying interesting consequences for short-range and high-frequency correlation functions. Overall, our results clearly indicate that the Complex Langevin approach is very versatile and works very well for imbalanced Fermi gases with both attractive and repulsive interactions.
Role of Responsible Leadership for Organizational Citizenship Behavior for the Environment in Light of Psychological Ownership and Employee Environmental Commitment: A Moderated Mediation Model

The world is looking toward organizations for social responsibility to contribute to a sustainable environment. Employees’ organizational citizenship behavior for the environment (OCBE) is a voluntary environmental-oriented behavior that is important for organizations’ environmental performance. Based on social learning theory, this study examined the effects of responsible leadership in connection with OCBE by using a sample of 520 employees in the manufacturing and service sectors in China including engine manufacturing, petroleum plants, banking, and insurance sector organizations. Further, the roles of psychological ownership and employee environmental commitment were used as mediators and moderators simultaneously. The direct, mediation, and moderation model results exposed a positive relationship between responsible leadership and OCBE via employee psychological ownership and employee environmental commitment. The study also revealed that the indirect effect is stronger when employees hold a higher employee environmental commitment. The theoretical and practical implications for environmental sustainability in respect of organizations as well as future research directions are discussed.
Urban Growth Monitoring using Remote Sensing and Geo-Informatics: Case Study of Gandhinagar, Gujarat State (India)

The Gandhinagar town has undergone unprecedented urban growth after assuming the status of a capital of Gujarat state, India in 1971. The Gandhinagar city lies on the western bank of river Sabarmati and city is also known as the “Tree capital of India” because of greenery with 54% green cover. The urban sprawl in Gandhinagar town was analyzed using multi-temporal Landsat TM data from 1981 to 2015. Spectral indices namely Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI) and Built-up Index (BUI) were generated from the Landsat TM bands covering visible Red (R), Near Infrared (NIR) and Short Wave Infrared (SWIR) wavelength regions. Spectral variations in built-up, open spaces, urban vegetation and water areas were studied by generating two-dimensional spectral plots of NDBI and BUI. The spectral response of built up areas like Urban-dense and urban-sparse classes are quite distinct from other cover types like open spaces, urban vegetation and water. The results indicate that the normalized difference built-up index (NDBI) and Built-up Index (BUI) were very useful for mapping urban built-up areas in Gandhinagar town using Landsat Thematic Mapper (TM) data. The built-up area in Gandhinagar increased from 1100.1 ha during Jan 1989 to 1907.3 ha during Jan 2015 which indicates about 73 per cent increase in the built-up area during the period of 26 years. The urban vegetation which includes parks and gardens in the city has also shown increasing trend during the period of 1989 to 2015. However, the area under open spaces has decreased as the development of built-up area has increased as per development plan of the Gandhinagar town.
Distance Lectures in University Studies: Advantages, Disadvantages, Improvement

Distance learning is not a new subject in university study practice. It is clear that a significant number of universities practiced this way of learning before the pandemic. In the case of distance learning, the emphasis is always not so much on the means used for teaching and learning, as on the very fact of the physical separation of the lecturer and the student. There is a reasonable concern about the quality of studies, their efficiency, the quality of the qualifications acquired by future specialists, etc. The new context creates the need to analyse and assess the distance learning situation that arose during the pandemic. In January-February 2021, a qualitative study was conducted, in which 158 students from three Lithuanian universities participated. Most of the respondents were students of social and humanitarian study programmes. Qualitative data obtained on the basis of open-ended questions were analysed using the method of quantitative content analysis, i.e., semantic subcategories and categories according to four main variables were distinguished: advantages of distance lectures, disadvantages of distance lectures, and distance lecture improvement. It has been established that the main advantages are the convenience of studying and the flexibility of the study process. Meanwhile, the most obvious shortcomings are deterioration of physical and mental health and non-realisation of social needs, deterioration of the quality of academic activities. Improving the design of lectures and improving their planning and organisation are considered the key areas of improvement.
Awareness and Attitude Regarding Teenage Pregnancy among Adolescent Girls of Chandannath Municipality, Jumla

Background: Teenage pregnancy is a major threat to adolescent health globally which remains a challenging issue requiring urgent resolution over the world. Objectives: To find out to awareness and attitude regarding teenage pregnancy among adolescent girls. Materials and Methods: A descriptive cross- sectional design was carried out among 334 adolescent girls of school students of Chandannath Municipality, Jumla. Results: More than half of adolescent girls (68%) had inadequate, 26% had moderate and least 6% had adequate awareness regarding teenage pregnancy. However, majority (58.1%) of adolescent girls had favorable attitude, that they believed teenage pregnancy as wrong while only (34.4%) of them had neutral attitude and least (7.5%) of them had unfavorable attitude which support teenage pregnancy. There was no relation between awareness and attitude regarding teenage pregnancy and types of family, level of education of father and mother. Conclusion: In this study, half of respondents had inadequate awareness regarding teenage pregnancy even though majority of them had favorable attitude regarding teenage pregnancy. There was no significant difference between demographic variables with awareness and attitude regarding teenage pregnancy. The study had highlighted the need for awareness program regarding teenage pregnancy in school as well as in community.
Negotiating business and family demands within a patriarchal society – the case of women entrepreneurs in the Nepalese context

ABSTRACT The aim of this paper is to advance our understanding of how women negotiate their business and family demands in a developing country context. The highest cited motivation for women’s pursuit of entrepreneurship has been their need to attend to these demands. Yet, empirically we know little about the negotiating actions taken by, and the business satisfaction of women in the context of both livelihood challenges and patriarchal contexts, despite several scholarly calls for contextualized accounts of women’s entrepreneurship. We explore these issues by employing a qualitative study of 90 women engaged in primarily informal entrepreneurial activities in three Nepalese regions. Our findings highlight three main and interrelated themes – negotiating consent, family resource access and gaining status. These themes allow us to contextualize the process of negotiating business and family demands by highlighting how women legitimize their business activities, respond to family/societal expectations and mobilize support for, and find satisfaction in their business. Overall, our study contributes towards accounts of business–family interface that incorporate the everyday practices of entrepreneurial activities amongst those less privileged in terms of resource access in particular sociocultural contexts.
How Deep Is Deep Enough for Deep Belief Network for Approximating Model Predictive Control Law

Deep belief network (DBN) is an effective learning model based on deep learning. It can hierarchically transform the input data via stacked feature detectors. As a predictive model, DBN has shown a promising prospect in model predictive control (MPC). However, its successful application relies seriously on the suitable structure size (the numbers of hidden layers and neurons), which is challenging to determine. In this work, we present a theoretical bound on its minimum structure size in order to accurately approximate a desired control law of MPC, called DBN-MPC. First, according to the Markov assumption, a controlled system is equivalent to a quadratic program, which only depends on the current system state. Second, a universal theorem is proposed to give a bound on the minimum structure size of DBN from the perspective of piecewise affine function analysis. Third, a partial least square regression is used to fine-tune DBN to overcome the problems of local-minimum and time-consuming training process. Finally, we demonstrate the effectiveness of the proposed method through two classical experiments: 1) tracking control of a benchmark dynamical system and 2) temperature control of a practical second-order continuous stirred tank reactor (CSTR) system. The experimental results generally give an answer to the question that how deep is deep enough for DBN to approximate an MPC law. Note to Practitioners—The proposed deep belief network (DBN)-model predictive control (MPC) scheme presents an answer to the question that how deep is deep enough for DBN, from the perspective of approximating an MPC law. Given an industrial system, the proposed DBN-MPC scheme can give the best tracking control performance with minimal computational complexity through an effective self-growing DBN and optimal approximation theorem of MPC law. In practical applications, it is better for practitioners to obtain accurate historical input and output data. During the operation process, DBN-MPC will be more practical if more accurate initial structure size of DBN is provided in advance because the initial structure size of DBN is the starting point of the dynamic optimization.
Thought experiments and experimental ethics

ABSTRACT Experimental ethicists investigate traditional ethical questions with non-traditional means, namely with the methods of the empirical sciences. Studies in this area have made heavy use of philosophical thought experiments such as the well-known trolley cases. Yet, the specific function of these thought experiments within experimental ethics has received little consideration. In this paper we attempt to fill this gap. We begin by describing the function of ethical thought experiments, and show that these thought experiments should not only be classified according to their function but also according to their scope. On this basis we highlight several ways in which the use of thought experiments in experimental ethics can be philosophically relevant. We conclude by arguing that experimental philosophy currently only focuses on a small subcategory of ethical thought experiments and suggest a broadening of its research agenda.
Targeting the culprit: vessel wall magnetic resonance imaging for evaluating stroke

The pathogenesis of many strokes originates in the vessel wall. Despite this, most traditional imaging focuses on the vascular lumen. Vessel-wall magnetic resonance imaging (VWMRI) is useful for establishing the etiology of intracranial stenosis. It also provides information regarding atherosclerotic plaque composition and thus plaque vulnerability, which is an indication of its potential to cause a stroke. In this review we focus on the characteristics of VWMRI findings in various arteriopathies related to intracranial artery stenosis, and discuss the clinical implications of these findings.
Saetaspongia sponges from the Cambrian (Stage 4) Balang Formation of Guizhou, China

Abstract. Saetaspongia so far cannot be confidently assigned to any class-level crown group. Clarifying its phylogenetic position requires new information provided by more detailed studies of previously described and/or new material. Some sponge fossils with the typical skeletal architecture of Saetaspongia have recently been recognized in the Cambrian (Stage 4) Balang Biota of Guizhou, China, including S. jianhensis new species and S. cf. S. densa. The new taxon is characterized by the following features: spicules are fine monaxons and are inclined to be loosely to densely arranged into plumose arrays; skeleton is composed primarily of one major plumose bundle, with an uncertain number (perhaps two) of small plumose arrays; and primary skeleton is occasionally interspersed with some irregularly oriented individual spicules. An additional specimen consisting of large monaxons, with plumose structures and overlying irregular coarse monaxons, closely fits the description and illustrations of previously described S. cf. S. densa. By combining information from previous studies and the present research, fossil evidence indicates that the plumose architecture is a critical feature diagnostic of Saetaspongia and that there are no hexactine-based spicules in this genus. The new material from the Balang Biota further supports the notion that Saetaspongia has a protomonaxonid rather than a hexactinellid affinity. Fossil evidence suggests that Saetaspongia had a wide biogeographic distribution during the early Cambrian and the stratigraphic distribution of this genus extends up to Stage 4.