Miracle-dz/UniFAR-FTUs huggingface dataset:
The medium-term perceived impact of work from home on life and work domains of knowledge workers during COVID-19 pandemic: A survey at the National Research Council of Italy

Objective The study aimed to investigate perceptions and determinants of the overall impact on life and work domains among a community of knowledge workers after 18 months of forced work from home due to the pandemic. Methods A cross-sectional study with a retrospective assessment was conducted early in 2022 at the National Research Council of Italy. Five single-item questions explored the perceived impact on life domain while a 7-item scale the impact on the work domain. Bivariate analyses and multivariate regressions were used to evaluate the associations between impacts and some key factors defined by 29 ad hoc closed questions. Results More than 95% of the 748 respondents reported a perceived change in at least one item of the life domain. For each of these items, although a large group of subjects has reported that working from home had no impact (from 27 to 55%), in the rest of the sample the positive evaluation (from 30 to 60%) clearly prevailed over the negative one. Overall, most of the subjects (64%) rated the impact on the work experience positively. Relationship with colleagues and participation in the work context were the items where the greatest number of negative rates was concentrated (27 and 25%, respectively). On the other hand, positive perceptions prevailed over both negative perceptions and lack of impact perceptions on the subjects of organizational flexibility and quality of work. The frequency of work-room sharing, home-work commute time and changes in sedentary lifestyle, have been identified as common explanatory factors of perceived impacts on both domains. Conclusion Overall, respondents reported positive rather than negative perceived impacts of forced work from home in both their lives and work. The obtained results suggest that policies to promote the physical and mental health of employees, strengthen inclusion and maintain a sense of community are necessary to improve workers' health and prevent the effects of perceived isolation on research activities.
Wavelet-based statistics of energy transfer in high-resolution direct numerical simulation of three-dimensional homogeneous isotropic turbulence

Small-scale statistics of wavelet-based quantities of turbulence are examined, with particular attention to t α,β[ ι ], which is the wavelet-based transfer of the wavelet-based energy e α[ ι ] at location ι and scale r α to all scales smaller than r β (⩽r α). A divergence-free orthonormal wavelet decomposition method is applied to direct numerical simulation data of three-dimensional incompressible homogeneous isotropic turbulence with grid points and Taylor microscale Reynolds numbers up to 20483 and 732, respectively. We propose a new statistical measure for the degree of scale locality of wavelet-based energy flux to scales smaller than r β constructed from t α,β[ ι ]. At R λ = 732, the measure retains a constant value in the inertial subrange, a value about two-thirds as large as that in the dissipation range, though the flux is local in scale throughout the range, from the inertial subrange to the dissipation range. We confirm that the influence of energy transfer from the large-scale flow on the flux becomes smaller with decreasing scales and negligible in the dissipation range. Scale-dependent spatial correlation between t α,β[ ι ] and e α[ ι ] is discussed. We find that, when r β is in the inertial range, the conditional correlation between forward transfer, which is t α,β[ ι ] at the positions satisfying t α,β[ ι ]>0, and e α[ ι ] becomes stronger as scale r α increases from r β, while this behavior is reversed when r β is in the dissipation range.
BRIDGE INTEGRITY ASSESSMENT BY CONTINUOUS WAVELET TRANSFORMS

The potential of continuous wavelet transforms for damage assessment of existing bridges is investigated herein. Different types of continuous wavelet transforms have been under investigation and the most effective ones have been introduced in a toolbox to automate the damage assessment procedure. In this paper, the performance of the wavelet approach and the influence of different parameters in the damage assessment procedures are studied through two examples: a simply supported beam and a three-span concrete bridge. Applying the wavelet transforms to a structure's static and/or dynamic response showed promising results with regard to localization of structural modification or damage. This paper underlines the high sensitivity of the wavelet analysis to damage intensity and its ability to be applied directly to the damaged data. These key characteristics could lead to this approach becoming one of the best for structural health monitoring of existing bridges in the near future.
Weak solutions for one-dimensional aggregation equations

Existence and uniqueness of global in time measure solution for a one dimensional nonlinear aggregation equation is considered. Such a system can be written as a conservation law with a velocity field computed through a selfconsistant interaction potential. Blow up of regular solutions is now well established for such system. In Carrillo et al. (Duke Math J (2011)), a theory of existence and uniqueness based on the geometric approach of gradient flows on Wasserstein space has been developped. We propose in this work to establish the link between this approach and duality solutions. This latter concept of solutions allows in particular to define a flow associated to the velocity field. Then an existence and uniqueness theory for duality solutions is developped in the spirit of James and Vauchelet (NoDEA (2013)). However, since duality solutions are only known in one dimension, we restrict our study to the one dimensional case.
"Z-OWNING" AND "Z-CONSUMPTION" IN THE CONDITIONS OF MOVEMENT FROM SHAREHOLDER TO STAKEHOLDER CAPITALISM: VALUES AS THE BASIS OF SELF-IDENTIFICATION

N. Reznikova, Doctor of Economic Sciences, Professor, Professor of the Department of International Relations and Foreign Policy, Educational and Scientific Institute of International Relations Taras Shevchenko National University of Kyiv ORCID ID: https://orcid.org/0000-0003-2570-869X O. Bulatova, Doctor of Economic Sciences, Professor, First Vice-Rector, Mariupol State University ORCID ID: https://orcid.org/0000-0001-7938-7874 O. Ptashchenko, Doctor of Economic Sciences, Professor, Professor of the Department of International Economic Relations, Simon Kuznets Kharkiv National University of Economics ORCID ID: https://orcid.org/0000-0002-2413-7648 O. Ivashchenko, PhD in Economics, Associate Professor, Associate Professor of the Department of Economics and Management of Foreign Economic Activities, National Academy of Statistics, Accounting and Audit ORCID ID: https://orcid.org/0000-0002-8490-778X V. Panchenko, Doctor of Economics, Partner of consulting company KSP Strategies ORCID ID: https://orcid.org/0000-0002-5578-6210
Significance of Nuclear Factor-Kappa B (NF-κB) and Survivin in Breast Cancer and Their Association with Radiosensitivity and Prognosis

Purpose Analyze the expression of NF-κB and survivin genes and mRNAs in breast cancer, and evaluate their impact on prognosis. Investigate their association with radiosensitivity in breast cancer. Methods The expression levels of NF-κB and survivin genes in breast cancer were analyzed by bioinformatics, NF-κB and survivin mRNA was verified by RTRCR, and their association with prognosis were assessed. Knockdown of survivin by siRNA was used to analyze its association with radiosensitivity in breast cancer. Results The gene expression of NFKB1 and BIRC5 are differentially expressed in a variety of tumours and their corresponding normal tissue species. In breast cancer tissues, NFKB1 expression levels were reduced compared to normal tissue, while BIRC5 expression levels were increased (P<0.05). In different molecular subtypes of breast cancer, NFKB1 and BIRC5 were differentially expressed (P<0.05), NFKB1 was highly expressed in the luminal subtype and BIRC5 was highly expressed in the TNBC subtype. In TNBC subtype, NFKB1 expression is higher in IM subtype than other subtypes (P<0.05), and BIRC5 expression is higher in BL-2 than other subtypes (P<0.05). NFKB1 was not associated with tumour size, lymph node stage and distant metastasis (P≥0.05), while BRIC5 was associated with these clinical features (P<0.05). NF-κB and survivin genes were negatively correlated (R = - 0.193, P<0.05). The mRNA levels of NF-κB and survivin are expressed in the same trend in breast cancer patients. NF-κB and survivin were not significantly different in recurrent and non-recurrent patients (P≥0.05). The mRNA levels of the both were not correlated with breast cancer subtypes (P≥0.05). The mRNA expression of NF-κB and survivin correlated with distant metastasis. NF-κB and survivin mRNAs were positively correlated (R=0.903, P<0.05). Gene and mRNA expression of NF-κB and survivin were not associated with patients’ survival overall survival (OS) (P≥0.05). Down-regulation of survivin has little effect on the proliferation rate of breast cancer cells (P≥0.05), but increase the apoptosis rate of breast cancer cells (P<0.05). The proliferation rate of cells decreased and the apoptosis rate increased significantly (P<0.05) after the implementation of radiotherapy, and this technique could improve the radiosensitivity of breast cancer cells. Conclusion NF-κB and survivin interact at the gene and mRNA levels. Regulation of mRNA expression of NF-κB or survivin may help to improve the radiosensitivity of breast cancer cells, more experiments are needed to verify this in the future.
Affine Arithmetic Based Methods for Power Systems Analysis Considering Intermittent Sources of Power

Intermittent power sources such as wind and solar are increasingly penetrating electrical grids, mainly motivated by global warming concerns and government policies. These intermittent and non-dispatchable sources of power affect the operation and control of the power system because of the uncertainties associated with their output power. Depending on the penetration level of intermittent sources of power, the electric grid may experience considerable changes in power flows and synchronizing torques associated with system stability, because of the variability of the power injections, among several other factors. Thus, adequate and efficient techniques are required to properly analyze the system stability under such uncertainties. A variety of methods are available in the literature to perform power flow, transient, and voltage stability analyses considering uncertainties associated with electrical parameters. Some of these methods are computationally inefficient and require assumptions regarding the probability density functions (pdfs) of the uncertain variables that may be unrealistic in some cases. Thus, this thesis proposes computationally efficient Affine Arithmetic (AA)-based approaches for voltage and transient stability assessment of power systems, considering uncertainties associated with power injections due to intermittent sources of power. In the proposed AA-based methods, the estimation of the output power of the intermittent sources and their associated uncertainty are modeled as intervals, without any need for assumptions regarding pdfs. This is a more desirable characteristic when dealing with intermittent sources of power, since the pdfs of the output power depends on the planning horizon and prediction method, among several other factors. The proposed AA-based approaches take into account the correlations among variables, thus avoiding error explosions attributed to other self-validated techniques such as Interval Arithmetic (IA). The AA-based voltage stability method proposed in the thesis, computes the hull of PV curves associated with the assumed uncertainties, and is tested using two study cases, first, a 5-bus test system is used to illustrate the proposed technique in detail, and thereafter a 2383-bus test system to demonstrate its practical application. The results are compared with those obtained using conventional Monte Carlo Simulations (MCS) to verify the accuracy and computational burden of the proposed AA-based method, and also with respect to a previously proposed technique to estimate parameter sensitivities in voltage stability assessment. On the other hand, the proposed AA-based transient stability assessment method solves the set of Differential-Algebraic
On the asymptotic standard errors of residual autocorrelations in nonlinear time series modelling

SUMMARY The asymptotic distribution of residual autocorrelations for some very general nonlinear time series models is derived. This includes the important class of threshold models. Consequently more accurate standard errors for residual autocorrelations can be obtained facilitating model diagnostic checkings in many situations. A small simulation result applying the methodology to threshold models is reported.
On the Global Symmetry of Thermodynamics and Onsager's Reciprocity Relations

We apply the Hamiltonian variational principle to the thermodynamic equation of motion in convectionand source-free systems. We show that the Onsager Reciprocity Relations are consequences of the global gauge symmetries of the Lagrangian which is related to the entropy production of the processes considered. Introduction Onsager's reciprocity relations [1—5] are very important in non-equilibrium thermodynamics because they reduce the number of independent coefficients. Their general validity follows from the hypothesis of microscopic reversibility, with the latter being verified by fluctuation theroy. Fluctuation theory, however, is based on a hypothesis of mechanical origin alien both to phenomenological thermodynamics and thermodynamic field theory. Some scientists accept Onsager's reciprocity relations in non-equilibrium thermodynamics (regardless of whether they accept his proof or not), others do not accept them and do not use them at all [1-23]. The reciprocity relations can be proved within the framework of the field theory of thermodynamics in several ways. We show that Onsager's reciprocity relations are the consequences of the existence of the Hamiltonian variational principle in the field theory of non-equilibrium thermodynamics. The Hamiltonian variational principle of thermodynamics The linear transport equations for convectionand source-free systems are
Prediction and physical analysis of unsteady flows around a pitching airfoil with the dynamic mesh approah

The fluid structure interaction due to the pitching motion of a NACA0012 aerofoil has been studied numerically at moderate and high Reynolds numbers. The dynamic mesh method has been employed in the code ICARE/IMFT solving the Navier-Stokes equations in compressible flows. At high Reynolds number, the phase-averaged Navier-Stokes equations have been solved, coupled with advanced URANS modelling in the NSMB code. The vortex dynamics and especially the stall are physically captured by the dynamic mesh method and by the URANS/Organised Eddy Simulation approach.
phenoC++: An open-source tool for retrieving vegetation phenology from satellite remote sensing data

Satellite-retrieved vegetation phenology has great potential for application in characterizing seasonal and annual land surface dynamics. However, obtaining regional-scale vegetation phenology from satellite remote sensing data often requires extensive data processing and computation, which makes the accurate and rapid retrieval of regional-scale phenology a challenge. To retrieve vegetation phenology from satellite remote sensing data, we developed an open-source tool called phenoC++, which uses parallel technology in C++. phenoC++ includes six common algorithms: amplitude threshold (AT), first-order derivative (FOD), second-order derivative (SOD), third-order derivative (TOD), relative change rate (RCR), and curvature change rate (CCR). We implemented the proposed phenoC++ and evaluated its performance on a site scale with PhenoCam-observed phenology metrics. The result shows that SOS derived from MODIS images by phenoC++ with six methods (i.e., AT, FOD, SOD, RCR, TOD, and CCR) obtained r-values of 0.75, 0.76, 0.75, 0.76, 0.64, and 0.67, and RMSE values of 21.36, 20.41, 22.38, 19.11, 33.56, and 32.14, respectively. Satellite-retrieved EOS by phenoC++ with six methods obtained r-values of 0.58, 0.59, 0.57, 0.56, 0.36, and 0.40, and RMSE values of 52.43, 46.68, 55.13, 49.46, 71.13, and 69.34, respectively. Using PhenoCam-observed phenology as a baseline, SOS retrieved by phenoC++ was superior to MCD12Q2, while EOS retrieved by phenoC++ was slightly inferior to that of MCD12Q2. Moreover, compared with MCD12Q2 on a regional scale, phenoC++-retrieved vegetation phenology yields more effective pixels. The innovative features of phenoC++ are 1) integrating six algorithms for retrieving SOS and EOS; 2) quickly processing data on a large scale with simple input startup parameters; 3) outputting phenology metrics in GeoTIFF format image, which is more convenient to use with other geospatial data. phenoC++ could aid in investigating and addressing large-scale phenology problems of the ecological environment.
Physiotherapy and Exercise Management of People Undergoing Surgery for Lung Cancer: A Survey of Current Practice across Australia and New Zealand

Background: Moderate- to high-certainty evidence supports the benefits of pre- and post-operative exercise for people undergoing surgical resection for lung cancer. Despite this, exercise programs are not commonly provided. Previous data regarding exercise practices are a decade old. Therefore, this study aimed to understand current exercise practices in surgical lung cancer care in Australia and New Zealand. Methods: An online cross-sectional survey of Australian and New Zealand allied health professionals specialising in exercise-based interventions was carried out. Survey development and reporting adhered to CHERRIES and CROSS checklists. Institutions with thoracic surgery departments were invited to participate via email, and additional responses were sought via snowballing. Results: The response rate was 81%, with a total of 70 health services responding. A total of 18 (26%) pre-operative services, 59 (84%) inpatient post-operative services, and 39 (55%) community/outpatient post-operative services were identified. Only eight (11%) services provided a pre-operative exercise program. Half of the respondents referred less than 25% of patients to community/outpatient exercise programs on hospital discharge. Respondents reported that their clinical management was predominantly influenced by established workplace practices and personal experience rather than evidence. Conclusions: The availability and uptake of pre- and post-operative exercise remain low, and work should continue to make pre/post-operative exercise training usual practice.
Does Quality of Life in Survivors of Surgery for Acute Left-Sided Infective Endocarditis Differ from Non-Endocarditis Patients?

Surgery for left-sided infective endocarditis (IE) has been demonstrated to improve patients’ survival rates but information about quality of life (QoL) after surgery is scarce. The aim of this study was to assess the postoperative outcomes and QoL after surgery for IE patients compared to patients undergoing cardiac surgery for non-IE indications. Adult patients with definite acute left-sided IE were matched 1:1 to patients who underwent cardiac surgery for non-endocarditic purposes from 2014 to 2019. QoL was assessed using the SF-36 survey at the last follow-up. A total of 105 patients were matched. The IE group had higher rates of preoperative stroke (21% vs. 7.6%, p = 0.005) and higher stages of NYHA class (p < 0.001), EuroSCORE II (12.3 vs. 3.0, p < 0.001) and blood cell count abnormalities (p < 0.001). The IE group had higher incidence of low cardiac output syndrome (13.3% vs. 4.8%, p = 0.029), dialysis (10.5% vs 1.0%, p = 0.007) and prolonged mechanical ventilation (16.2% vs. 2.9%, p = 0.002) after surgery. At the last follow-up, subcomponents of the SF-36 QoL survey were not different between the groups. Patients who underwent cardiac surgery for IE demonstrated a higher risk profile with a higher rate of postoperative complications. Once recovered from the acute phase of the disease, the reported QoL at follow-up was comparable to that of matched cardiac patients operated for non-IE purposes.
The interplay between the Internet-based reading resources and learner-to-learner interactions in blended language learning

This research examined English as a foreign language (EFL) learners’ reading comprehension ability through the Internet-based reading resources in a blended language learning environment: the integration of online reading activities into conventional face-to-face reading instructions. Participants were Thai EFL undergraduates divided into a control group and an experimental group. The experimental group self-selected online articles concerning contents of interest to share, read, and discuss on a social network platform, which was particularly created to foster learner-to-learner interactions throughout a 16-week course focusing on reading comprehension. Data on learners’ reading comprehension abilities were collected from both a pre- and post-test. Reading comprehension ability was determined via performance based on five reading comprehension strategies, namely (1) finding the main ideas, (2) scanning for specific details, (3) identifying the correct referent to a pronoun, (4) making inferences, and (5) figuring out the meaning of new vocabulary in context. The findings showed that learners in the experimental group performed significantly better than the control group. In addition, scanning for specific details as a reading comprehension strategy effected significant improvement among the other reading comprehension strategies. The findings suggested that a blended learning environment with the use of the Internet-based reading resources could serve to provide a dynamic learning environment to foster EFL learners’ reading comprehension.
Transforming medical education in Liberia through an international community of inquiry

A critical component of building capacity in Liberia’s physician workforce involves strengthening the country’s only medical school, A.M. Dogliotti School of Medicine. Beginning in 2015, senior health sector stakeholders in Liberia invited faculty and staff from U.S. academic institutions and non-governmental organizations to partner with them on improving undergraduate medical education in Liberia. Over the subsequent six years, the members of this partnership came together through an iterative, mutual-learning process and created what William Torbert et al describe as a “community of inquiry,” in which practitioners and researchers pair action and inquiry toward evidence-informed practice and organizational transformation. Incorporating faculty, practitioners, and students from Liberia and the U.S., the community of inquiry consistently focused on following the vision, goals, and priorities of leadership in Liberia, irrespective of funding source or institutional affiliation. The work of the community of inquiry has incorporated multiple mixed methods assessments, stakeholder discussions, strategic planning, and collaborative self-reflection, resulting in transformation of medical education in Liberia. We suggest that the community of inquiry approach reported here can serve as a model for others seeking to form sustainable global health partnerships focused on organizational transformation.