Abstract Background Translations of instruments for measuring quality of life developed in certain, mostly more developed, parts of the world usually do not cover regionally specific aspects of health-related quality of life, even after transcultural validation. The aim of this study was to develop and validate a reliable questionnaire in Serbian, Croatian, Bosnian, and Montenegrin languages suitable for measuring health-related quality of life in adults. Methods The study was of a cross-sectional type, assessing the reliability and validity of a newly developed questionnaire for measuring health-related quality of life (HRQoL) in adults residing in western Balkan states (WB-HRQoL). It was conducted on a sample of 489 adults from Serbia, Croatia, Bosnia & Herzegovina, and Montenegro, with a mean age of 52.2±14.4 years and a male/female ratio of 195/294 (39.9%/60.1%). Result The definitive version of the WB-HRQoL scale with 19 items showed very good reliability, with Cronbach’s alpha 0.905. The scale was temporally stable, and satisfactory results were obtained for divergent and convergent validity tests. Exploratory factorial analysis brought to the surface four domains of health-related quality of life, namely the physical, psychical, social, and environmental. Conclusion The WB-HRQoL scale is a reliable and valid generic instrument for measuring HRQoL that takes into account the cultural specifics of the western Balkan region.
Introduction: Both Dasatinib (DA), a tyrosine kinase inhibitor that is used for targeted cancer therapy, and programmed death-ligand 1 (PD-1/PD-L1) inhibitor that is an immune checkpoint therapy, play a vital role in the management of several types of solid tumors, including breast. Nevertheless, the combined outcome of DA and PD-1/PD-L1 inhibitors in human carcinomas has not been explored yet. Materials and methods: We herein compared the individual impact of DA and PD-1/PD-L1 inhibitors (BMS-202) with their combination on two human HER2-positive breast cancer cell lines, SKBR3 and ZR75. Results: Our data revealed that the combination of DA and BMS-202 significantly inhibits cell proliferation in both cell lines as compared to mono treatment and/or untreated cells. Moreover, we observed that combination treatment prevents the progression of “epithelial-mesenchymal transition” (EMT), which is a hallmark of cell invasion and cancer progression. Our data reveal that DA and BMS-202 together dramatically inhibit cell invasion of SKBR3 and ZR75 cells; this is accompanied by the up-regulation of E-cadherin and its restoration along with b-catenin on the cell membrane and its undercoat, respectively, in addition to the downregulation of vimentin, which are major markers of EMT. Additionally, we found that the synergistic treatment of DA and BMS-202 inhibits colony formation of both cell lines in comparison with their matched control. Conclusion: Our findings implicate that, in comparison to monotreatment, combination of DA and BMS-202 could have a significant impact on the management of HER2-positive breast cancer via HER2 inactivation and specifically b-catenin signaling pathways.
The growing population and increasing demand for surface transportation have highlighted the importance of maintaining safe and reliable civil infrastructures for daily use. Among all civil infrastructures, bridges are one of the most important elements in the transportation system. As such, to prevent any failures caused by aging and environmental impacts, bridges require periodic inspections. This becomes even more critical due to climate change and its effect on bridges, especially in the coastal regions. Most of the inspections conducted incorporate the visual type of evaluation due to its simplicity. However, with the current developments in new technologies, there is a need for more advanced techniques of structural health monitoring (SHM) methods to be incorporated in the maintenance programs for more accurate and efficient surveys. In this paper, non-destructive testing (NDT) methods applicable to steel bridges are reviewed, with a focus on methods applicable to local damage detection. Moreover, the methodology, advantages and disadvantages, and up-to-date research on NDT methods are presented. Furthermore, the application of novel NDT techniques using innovative sensors, drones, and robots for the rapid and efficient assessment of damages on small and large scales is emphasized. This study is deemed necessary as it compiles in one place the available information regarding NDT methods for in-service steel bridges. Access to such information is critical for researchers who intend to work on new or improved NDT techniques.
Directed acyclic graphs are often used to model situations and problems in real life. If we consider the topological ordering of a graph as a process of arranging the vertices in the best possible way considering the constraints caused by the direction of edges, then it makes sense to try to optimize this process by minimizing the distances between vertices in the ordering. For this purpose, we define measures based on distances between vertices in the topological ordering that allow us to construct a graph with optimal topological ordering regarding a specific measure thus minimizing the complexity of the system represented by the graph. We explore minimal and maximal values of the defined measures and comment on the topology of graphs for which maximal and minimal values are obtained. Potentially, the proved bounds could be used to benchmark existing algorithms, devise new approximation algorithms or branch–and–bound schemas for some scheduling problems that are usually of hard computational complexity.
Generation of an elliptically polarized attosecond pulse train by an orthogonally polarized two-color (OTC) laser field is investigated theoretically and simulated numerically. The OTC field consists of two linearly polarized fields with orthogonal polarizations and frequencies that are integer multiples of the fundamental frequency ω. For the ω−3ω OTC field, the emitted harmonics are elliptically polarized so that they may form an elliptically polarized attosecond pulse train provided that a group of harmonics is phase-locked. This is the case if only one quantum orbit generates the corresponding part of the harmonic spectrum. If so, then two attosecond pulses are emitted per optical cycle due to the dynamical symmetry of the ω−3ω OTC field. Atomic targets with an s ground state only generate attosecond pulses with almost linear polarization. Using, however, targets with a p ground state, attosecond pulses with substantial ellipticity can be produced because ground states with opposite magnetic quantum numbers m=+1 and m=−1 produce harmonics with opposite helicities at different rates. In this case, the harmonic intensity and harmonic ellipticity are different for the ground states with the magnetic quantum number m=±1. These differences are the source of the attosecond pulse ellipticity and can be controlled using the relative phase as a control parameter. In addition, by choosing a particular group of harmonics, one can select the desired ellipticity of the attosecond pulse train.
The hands are anatomically specialized for manipulative tasks with different physical objects, where they can cope with certain loads with different forces and intensity. During various physical and sports activities, the hands produce the appropriate muscular force for gripping, which manifests as the hand grip's force. For this reason, hand grip strength (HGS) is recognized as a limiting factor in all manipulative activities performed by the cranial part of the body. The current research included a sample of 22 subjects, 16 male Body Height (BH=180.28±4.65cm); Body Weight (BW=80.05±9.96kg), Body Mass Index (BMI=24.61±2.74kg/m²) and 6 female subjects Body Height (BH=167.42±11.11cm); Body Weight (BW=64.80±10.09kg); Body Mass Index (BMI=23.02±1.57kg/m²) on the third year of study at the Faculty of Physical Education and Sports. This study aimed to determine the maximum isometric muscle force of the handgrip and differences between the same gender of students. A t-test for small samples was applied for data processing, and the relevant statistical parameters were calculated. The obtained t-test results confirmed statistically significant differences between the so-called dominant and non-dominant hands in male subjects (t=4.158; p<0.05) and female subjects (t=3.176; p<0.05). The obtained results of this research will be used for analytical and diagnostic purposes with a wide range of activities in the population of physical education and sports students (assessment of physical ability, trends, and tendencies to monitor and change abilities, influence on the implementation of certain curricula of some subjects studied at the faculty, etc.).
The energy efficiency exemplifies a worldwide and complex phenomenon. It is paramount for Bosnia and Herzegovina (BiH), the former socialist and semi-developed country being situated in the Balkan region of the Southeastern Europe (SE). Buildings in the Balkan, including BiH, represent about 50 percent of the aggregate energy consumption. Estimated energy savings are projected to be between 20 and 40 percent. The research problem discussed in this work aims at the introduction of the existing or the improvement of the present strategies dealing with the energy efficiency. Thorough evaluation – literature review, of versatile resources, academic journal papers, government and private works, etc., was conducted. The inclusion and operation of funds addressing energy efficiency is of paramount importance. In that context the creation of statewide agency is deemed to be crucial to be responsible for the administration of the assistance of the European Union (EU) and the management of national energy efficiency action plan (NEEAP). Unfortunately, it cannot identify the totality of all-important external factors relating to the status of energy efficiency. Introduction of the energy management system (EMS) is another avenue worth exploring.
According to demographic data, the percentage of elderly people within the population is growing, representing a vulnerable group to the effects of increasing heat, but little attention has been paid to developed adaptation measures. In addition, many older people leave their familiar homes and live in nursing homes. The person-centred care pursues creating spaces of high living quality for these people in nursing homes, to which plants and greenery can contribute. Greening is also considered an effective climate change adaptation measure. To create healthy conditions for this vulnerable group of elderly, both technical and social factors must be considered, and accordingly, a successful solution can only be achieved in an interdisciplinary way. The research and development of the project “Green: Cool & Care” dealt with this outset from a building physics, social, and nursing science perspective, and concepts to integrate greening measures in nursing homes were developed jointly by researchers, planners, staff, volunteers, and residents. For this purpose, measurement campaigns of air quality parameters, individual interviews and focus groups, as well as co-creative workshops were conducted aiming to include the objective building conditions as well as the subjective needs in developing and, in a further step, implementing greening measures.
A novel method for calculating power output from wind turbines using Newtonian mechanics is proposed. This contrasts with current methods based on interception rates by aerofoils of kinetic energy to estimate power output, governed by the Betz limit of propeller theory. Radial action [mrωrδφ =@, J.sec] generates torques from impulses from air molecules at differing radii on rotor surfaces, both windward and leeward. Dimensionally, torque is a rate of action [(mrωδφ)/δt, MLT, Nm]. Integration of the windward torque [Tw, Nm] is achieved numerically using inputs of rotor dimensions, the angle of incidence (θ) of elastic wind impulse [δMv] on the blade surface, chord and blade lengths and the tip-speed ratio with wind speed. The rate of leeward or back torque [Tb , Nm] in the plane of rotation is estimated from radial impulses from the blade’s rotation on material particles, with magnitude varying with the square of the blade radius and its angular velocity. The net torque (Tw Tb) from these rates of action and reaction is converted to power by its product with the angular velocity of the turbine rotors [P = (Tw Tb)Ω, Watts or J sec], considered as an ideal Carnot cycle for wind turbines; its design should assist optimisation of the aerodynamic elements of turbine operation. A matter of concern must be predictions for a significant rate of heat production by wind turbines, represented partly by the magnitude of the leeward reaction torque but also by a greater release of heat downwind caused by a turbulent cascade in the wake of air flow following its impacts with the blades. Given the widespread occurrence of wind farms as sources of renewable energy and a need to minimise environmental impacts this new method should promote improved theory and practice regarding wind energy.
We study the problem of learning robust acoustic models in adverse environments, characterized by a significant mismatch between training and test conditions. This problem is of paramount importance for the deployment of speech recognition systems that need to perform well in unseen environments. First, we characterize data augmentation theoretically as an instance of vicinal risk minimization, which aims at improving risk estimates during training by replacing the delta functions that define the empirical density over the input space with an approximation of the marginal population density in the vicinity of the training samples. More specifically, we assume that local neighborhoods centered at training samples can be approximated using a mixture of Gaussians, and demonstrate theoretically that this can incorporate robust inductive bias into the learning process. We then specify the individual mixture components implicitly via data augmentation schemes, designed to address common sources of spurious correlations in acoustic models. To avoid potential confounding effects on robustness due to information loss, which has been associated with standard feature extraction techniques (e.g., fbank and mfcc features), we focus on the waveform-based setting. Our empirical results show that the approach can generalize to unseen noise conditions, with 150% relative improvement in out-of-distribution generalization compared to training using the standard risk minimization principle. Moreover, the results demonstrate competitive performance relative to models learned using a training sample designed to match the acoustic conditions characteristic of test utterances.
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