Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Care Behaviour of Patients With Breast Cancer in the Management of Side Effects of Chemotherapy

Aim The breast is the leading site of cancer among females. Chemotherapy is the standard treatment of breast cancer and it results in multiple side effects. Apart from pharmacological management, self-care behaviors may significantly influence the management of these side effects. The study aimed to assess the self-care behavior of patients with breast cancer in the management of side effects of chemotherapy. Methods A longitudinal descriptive study was conducted at the Daycare chemotherapy unit of the Radio Therapy Department, Government Medical College Hospital Thiruvananthapuram, Kerala, India. In total, 170 female patients with breast cancer receiving their first cycle of chemotherapy participated in the study. Self-care behavior was the primary outcome variable of the study. Sociodemographic and clinical data were measured by using a structured questionnaire. The severity of side effects and self-care behaviors for their management were measured by a Self Care Diary (SCD). Result A total of 170 with breast cancer receiving chemotherapy participated in the study. The severity of side effects and self-care behaviors for their management were measured at two separate time intervals, T1 and T2. Severe fatigue was found in 80.0% of participants at T1 and 61.2% at T2. Vomiting (47.7%), mucositis (48.2%), and nausea (49.1%) were also found to be severe at T1, but these side effects were moderate (53.8%, 58.8%, and 51.8% respectively) at T2. Despite the high number of self-care behaviors used to prevent infection, nausea/vomiting, bleeding, decreased appetite, sleeping difficulty, and constipation, overall self-care behaviors were found to be poor. A negative correlation was found between self-care behavior and side effects of chemotherapy. Conclusion The study revealed a negative correlation between self-care behaviors and side effects. This indicates that supportive education and training should be given to patients and caregivers to enhance the self-care behaviors of patients to manage the side effects.
Interactions solide/solution et transferts de matiere dans un gradient de temperature. Application au confinement des dechets nucleaires de haute-activite

La phase initiale d'un stockage de dechets nucleaires sera caracterisee par une forte liberation de chaleur dans le proche environnement des colis de dechets. Ce flux de chaleur se traduira par une elevation temporaire de temperature, et par la presence d'un gradient spatial de temperature entre les colis chauds et le milieu geologique froid. Quelles vont etre les consequences sur l'evolution des materiaux du champ proche de ce champ de temperature evoluant dans le temps et dans l'espace ? en particulier, quel sera son effet en cas de relachement accidentel de radionucleides durant la phase thermique ? telles sont les questions auxquelles ce travail essaie de repondre dans la perspective d'une evaluation de performance. Ce travail s'appuie sur une triple demarche methodologique alliant experimentation, modelisation et etudes d'analogues naturels. Il demontre que la presence d'un gradient de temperature spatial modifie la distribution des elements chimiques au sein du systeme, certains elements se conncentrant dans les phases solides du point chaud, d'autres dans celles du point froid. La confrontation des resultats d'experiences simplifiees a un modele base sur la thermodynamique a l'equilibre, permet de mettre en evidence les mecanismes probables de ces transferts : des processus thermodiffusifs couples a des reactions irreversibles de precipitation. Parallelement, l'effet de la variation temporelle de temperature est aborde par le biais de l'etude d'un systeme naturel soumis a une histoire thermique similaire : les bauxites alpines jurassiques. L'uranium present dans ces formations, a ete profondement remobilise au cours du metamorphisme conduisant a un piegeage definitif lors de l'apex thermique, sans qu'il y ait de migrations notoires. L'ensemble de ce travail montre que la phase thermique initiale d'un stockage va conduire a des modifications du champ proche qui ne sont pas antithetiques du confinement des radioelements, mais qui doivent etre prises en compte dans l'evaluation du comportement a long-terme.
Detection and Partial Characterization of Herpesviruses from Egyptian Tortoises (Testudo kleinmanni) Imported into Italy from Libya

Abstract A group of approximately 370 Egyptian tortoises (Testudo kleinmanni) and 36 spur-thighed tortoises (Testudo graeca) were illegally imported into Italy from Libya. Within 6 mo of their entry into Italy, all but 40 of the Egyptian tortoises had died with signs of severe stomatitis. Herpesviruses were detected from the tongues of seven Egyptian tortoises by polymerase chain reaction (PCR) and virus isolation. Sequencing of a portion of the UL39 homologue of the herpesviruses from three different tortoises demonstrated that the viruses were identical to one another and identical to a herpesvirus isolated from a Hermann's tortoise (Testudo hermanni) in Germany. This is the first description of the detection of a herpesvirus from diseased Egyptian tortoises. That these animals were imported into Europe from Libya provides circumstantial evidence for the presence of herpesviruses among tortoises in northern Africa.
The Influence of CEO Character on Tax Avoidance In Property And Real Estate Companies Listed on The Indonesia Stock Exchange 2020-2021

This study analyzes and obtains empirical evidence on CEO character, including CEO age, CEO tenure, CEO education level, and CEO gender in tax avoidance. This study uses a sample of the property and real estate sectors listed on the Indonesia Stock Exchange (IDX) during the 2020-2021 period. The number of companies that are sampled are 64 companies with observations for two years using the purposive sampling method-the hypothesis testing of this study uses multiple regression models. The results showed that the CEO's education level and CEO's age had a positive effect on tax avoidance. While CEO tenure, gender does not affect tax avoidance.
TGA and Thermal Kinetics of Raw Calotropis Procera Fiber Reinforced PF Composites

Natural fibre-reinforced composites are used in various structurally designed goods, from civil engineering to the production of automobiles, thanks to qualities like minimal density, a favourable aspect ratio, biodegradability, and ease of fabrication. The thermal behaviour of natural fibres and composites has also been researched. The thermal degradation kinetics characteristics of composites made with phenol formaldehyde resin and reinforced with untreated Aak fibre with varying fibre loads have been determined using thermogravimetric analysis (TGA). The Flynn-Wall procedure determined each component and composite material's precise apparent activation energy (Ea). Varying fibre load (5, 10, 15, 20 wt.%) was used to reinforce PF resin, and TGA was taken for all composite samples. By observing TGA data composite with 15 wt% fibre load shows maximum thermal stability, it can also be concluded that the thermal stability of prepared composites increases with increasing fibre load. After 15 wt%, it starts to decrease.
Multidimensional Security Pricing

Portfolio analysis has generally been restricted to problems in, at most, two dimensions, expected return and risk, the latter usually measured by standard deviation. In two papers Jean [2, 4] has attempted to extend the analysis to three and many dimensions by deriving risk premiums as functions of higher order moments. This paper corrects several errors in his work and derives a normative, individual pricing model for risky securities analogous to the capital market line within the framework of a perfect market.
JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS NOVEMBER 1975 COMPETITION FOR SAVINGS DEPOSITS IN THE U.S.: 1936-1966

a n n u a l R e p o r t s , U . S . F e d e r a l H o m e L o a n B a n k B o a r d , W a s h i n g t o n , D . C . Constant TABLE 3 DETERMINANTS OF DEPOSIT ELASTICITIES Savings and Loan Associations Other Personal Time Deposit Stock Savings and Financial Savings Less Saving Price Loan Offices Offices (Billions) and Loan Rate Index Regression Coefficient Standard Error T Value Mean of Variable -6.97
Energy-efficient computation offloading in 5G cellular networks with edge computing and D2D communications

Computation offloading has been considered as one of the key research issues in edge computing fields. In order to reduce the energy consumption of the mobile terminal, the energy efficiency issue of computation offloading has attracted a lot of attention from academia and industry. In this study, the authors propose an energy-efficient computation offloading scheme in 5G cellular networks with edge computing and device-to-device (D2D) communications. They consider the computation offloading to fog computing devices via D2D communications and mobile edge computing (MEC) servers via cellular networks. And thus the computation task execution model can be composed of local execution, fog computing device execution and MEC server execution. Then, they formulate the computation offloading issue as stochastic optimisation problem, and use the Lyapunov optimisation technology framework to solve this problem. Finally, extensive simulation results are presented to illustrate the effectiveness of the proposed scheme.
Political donations and GDP forecast accuracy: do they always help?

We examine whether and how economists’ political donations improve the accuracy of their GDP forecasts. Using a sample of U.S. GDP growth forecasts for the period 2003–2020, we find that economists with political donations are more accurate than their peers. Thus, although economists’ political donations can be small and reflect political orientation leading to a potential partisan bias, they can provide an information advantage in predicting GDP. We also document that the informational benefits of donating are stronger when the party financed by economists controls both the Senate and House of Representatives, while they are reduced in periods of uncertainty and when the forecasting house is less concerned with reputation and more politically active. These results suggest that a partisan bias exists among economists, but its negative consequences arise when they face forecasting difficulties or they are exposed to more heterogeneous and impartial information.
Geothermal resource assessment of the Yucca Mountain area

An assessment of the geothermal resources within a fifty-mile radius of the Yucca Mountain Project area was conducted to determine the potential for commercial development. The assessment includes collection, evaluation, and quantification of existing geological, geochemical, hydrological, and geophysical data within the Yucca Mountain area as they pertain to geothermal phenomena. Selected geologic, geochemical, and geophysical data were reduced to a set of common-scale digital maps using Geographic Information Systems (GIS) for systematic analysis and evaluation. Available data from the Yucca Mountain area were compared to similar data from developed and undeveloped geothermal areas in other parts of the Great Basin to assess the resource potential for future geothermal development at Yucca Mountain. This information will be used in the Yucca Mountain Site Characterization Project to determine the potential suitability of the site as a permanent underground repository for high-level nuclear waste.
Federal Reserve Bank of New York Staff Reports Housing Markets and Residential Segregation: Impacts of the Michigan School Finance Reform on Inter-and Intra-district Sorting Staff

paper presents preliminary findings and is being distributed to economists and other interested readers solely to stimulate discussion and elicit comments. The views expressed in this paper are those of the authors and are not necessarily reflective of views at the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors. Society of Labor Economists conference for valuable comments and discussions. The views expressed in this paper are those of the authors and do not necessarily reflect the position of the Federal Reserve Bank of New York or the Federal Reserve System. Abstract Local financing of public schools in the United States leads to a bundling of two distinct choices – residential choice and school choice-and has been argued to increase the degree of socioeconomic segregation across school districts. A school finance reform, aimed at equalization of school finances, can in principle weaken this link between housing choice and choice of schools. In this paper, we study the impacts of the Michi-gan school finance reform of 1994 (Proposal A) on spatial segregation. The reform was a state initiative intended to equalize per-pupil expenditures between Michigan school districts and reduce the role of local financing. We find that Proposal A was responsible for increases in the value of housing stock in the lowest-spending school districts, and for improvements in several socioeconomic indicators in these districts, implying a decline in neighborhood sorting. We also find that the reform affected dispersion of incomes and educational attainment within school districts, increasing within-district heterogeneity in the lowest-spending school districts, while decreasing the same in the highest-spending districts. However, there is continued high demand for residence in the highest-spending communities, suggesting the importance of neighborhood peer effects (" local " social capital) and implying that even a comprehensive government aid program can fail to make a large impact on residential segregation.
Assessing High House Prices: Bubbles, Fundamentals and Assessing High House Prices: Bubbles, Fundamentals and Misperceptions Misperceptions Assessing High House Prices: Bubbles, Fundamentals and Misperceptions Assessing High House Prices: Bubbles, Fundamentals and Misperceptions Assessing High House

Abstract How does one tell when rapid growth in house prices is caused by fundamental factors of supply and demand and when it is an unsustainable bubble? In this paper, we explain how to assess the state of house prices—both whether there is a bubble and what underlying factors support housing demand—in a way that is grounded in economic theory. In doing so, we correct four common fallacies about the costliness of the housing market. For a number of reasons, conventional metrics for assessing pricing in the housing market such as price-to-rent ratios or price-to-income ratios generally fail to reflect accurately the state of housing costs. To the eyes of analysts employing such measures, housing markets can appear "exuberant" even when houses are in fact reasonably priced. We construct a measure for evaluating the cost of home owning that is standard for economists—the imputed annual rental cost of owning a home, a variant of the user cost of housing—and apply it to 25 years of history across a wide variety of housing markets. This calculation enables us to estimate the time pattern of housing costs within a market. As of the end of 2004, our analysis reveals little evidence of a housing bubble.
Antibody–Drug Conjugates for Cancer Therapy

Antibody–drug conjugates (ADCs) take advantage of the specificity of a monoclonal antibody to deliver a linked cytotoxic agent directly into a tumour cell. The development of these compounds provides exciting opportunities for improvements in patient care. Here, we review the key issues impacting on the clinical success of ADCs in cancer therapy. Like many other developing therapeutic classes, there remain challenges in the design and optimisation of these compounds. As the clinical applications for ADCs continue to expand, key strategies to improve patient outcomes include better patient selection for treatment and the identification of mechanisms of therapy resistance.
Understanding the Securitization of Subprime Mortgage Credit

In this survey we provide an overview of the subprime mortgage securitization process and the seven key informational frictions which arise. We discuss how market participants work to minimize these frictions and speculate on how this process broke down. We continue with a complete picture of the subprime borrower and the subprime loan, discussing both predatory borrowing and predatory lending. We present the key structural features of a typical subprime securitization, document how the rating agencies assign credit ratings to mortgage-backed securities, and outline how the agencies monitor the performance of mortgage pools over time. Throughout the survey, we draw upon the example of a mortgage pool securitized by New Century during 2006.
Exchange rate pass-through to import prices: Evidence from Serbia

In this paper we estimated the degree of exchange rate pass-through (ERPT) into aggregate import prices in Serbia. ERPT was determined by application of single equation, cointegration approach (ARDL model), error correction term (ECM) and VAR Granger Causality tests. We based our research on data from 2008Q1 to 2014Q4. The results of our research show partial pass-through in the short run; in the long run pass-through was not observed. In addition to that, we found that appreciation of the nominal effective exchange rate (NEER) led to significant pass-through asymmetry in the short run.
Tidal saltmarsh fragmentation and persistence of San Pablo Song Sparrows (Melospiza melodia samuelis): Assessing benefits of wetland restoration in San Francisco Bay

The San Pablo Song Sparrow (Melospiza melodia samuelis) is one of three morphologically distinct Song Sparrow subspecies in tidal marshes of the San Francisco Bay estuary. These subspecies are rare, because as the human population has grown, diking and development have resulted in loss of 79% of the historic tidal marshes. Hundreds of projects have been proposed in the past decade to restore tidal marshes and benefi t endemic populations. To evaluate the value of these restoration projects for Song Sparrows, we developed a population viability analysis (PVA) model to examine persistence of samuelis subspecies in relation to parcel size, connectivity, and catastrophe in San Pablo Bay. A total of 101 wetland parcels were identifi ed from coverages of modern and historic tidal marshes. Parcels were grouped into eight fragments in the historical landscape and 10 in the present landscape. Fragments were defi ned as a group of parcels separated by >1 km, a distance that precluded regular interchange. Simulations indicated that the historic (circa 1850) samuelis population was three times larger than the modern population. However, only very high levels (>70% mortality) of catastrophe would threaten their persistence. Persistence of populations was sensitive to parcel size at a carrying capacity of <10 pairs, but connectivity of parcels was found to have little importance because habitats were dominated by a few large parcels. Our analysis indicates little risk of extinction of the samuelis subspecies with the current extent of tidal marshes, but the vulnerability of the smallest parcels suggests that restoration should create larger continuous tracts. Thus, PVA models may be useful tools for balancing the costs and benefi ts of restoring habitats for threatened tidal-marsh populations in wetland restoration planning.
Suppression of cortical electrostimulation artifacts using pre-whitening and null projection

Objective. Invasive brain–computer interfaces (BCIs) have shown promise in restoring motor function to those paralyzed by neurological injuries. These systems also have the ability to restore sensation via cortical electrostimulation. Cortical stimulation produces strong artifacts that can obscure neural signals or saturate recording amplifiers. While front-end hardware techniques can alleviate this problem, residual artifacts generally persist and must be suppressed by back-end methods. Approach. We have developed a technique based on pre-whitening and null projection (PWNP) and tested its ability to suppress stimulation artifacts in electroencephalogram (EEG), electrocorticogram (ECoG) and microelectrode array (MEA) signals from five human subjects. Main results. In EEG signals contaminated by narrow-band stimulation artifacts, the PWNP method achieved average artifact suppression between 32 and 34 dB, as measured by an increase in signal-to-interference ratio. In ECoG and MEA signals contaminated by broadband stimulation artifacts, our method suppressed artifacts by 78%–80% and 85%, respectively, as measured by a reduction in interference index. When compared to independent component analysis, which is considered the state-of-the-art technique for artifact suppression, our method achieved superior results, while being significantly easier to implement. Significance. PWNP can potentially act as an efficient method of artifact suppression to enable simultaneous stimulation and recording in bi-directional BCIs to biomimetically restore motor function.
A Novel Cognitive Training Program Targets Stimulus-Driven Attention to Alter Symptoms, Behavior, and Neural Circuitry in Pediatric Anxiety Disorders: Pilot Clinical Trial.

Objective: Pediatric anxiety disorders are associated with increased stimulus-driven attention (SDA), the involuntary capture of attention by salient stimuli. Increased SDA is linked to increased activity in the right ventrolateral prefrontal cortex (rVLPFC), especially in the portion corresponding to the ventral attention network (VAN). In this study, we present a small clinical trial using a novel attention training program designed to treat pediatric anxiety by decreasing SDA and activity in the rVLPFC. Methods: Children ages 8-12 with anxiety disorders (n = 18) participated in eight sessions of attention training over a 4-week period. At baseline and after completing training, participants completed clinical anxiety measures and a battery of cognitive tasks designed to measure three different aspects of attention: SDA, goal-oriented attention, and threat bias. A subset of participants (n = 12) underwent baseline and post-training neuroimaging while engaged in an SDA task. Brain analyses focused on activity within the rVLPFC. Results: Parent (p < 0.001)-, child (p < 0.002)-, and clinician-rated (p < 0.02) anxiety improved significantly over the course of training. Training significantly altered SDA [F(1,92) = 8.88, corrected p-value (pcor) < 0.012, uncorrected p-value (puncor) < 0.004]. Anxiety improvement correlated with improvements in goal-directed attention [r(10) = 0.60, pcor < 0.12 puncor < 0.04]. Within an area of the rVLPFC corresponding to the cingulo-opercular network (CON), there was a main effect of training [F(1,20) = 6.75, pcor < 0.16, puncor < 0.02], with decreasing signal across training. There was a significant interaction between training and anxiety on this region's activity [F(1,20) = 9.48, pcor < 0.048, puncor < 0.006]. Post hoc testing revealed that post-training activity within this CON area correlated with residual anxiety [r(10) = 0.68, p < 0.02]. Conclusions: SDA and rVLPFC neural activity may be novel therapeutic targets in pediatric anxiety. After undergoing a training paradigm aimed at modifying this aspect of attention and its underlying neural circuitry, patients showed lower anxiety, changes in SDA and goal-oriented attention, and decreased activity in the CON portion of the rVLPFC.