Miracle-dz/UniFAR-FTUs huggingface dataset:
Pilot modelling for airframe loads analysis

The development of large lightweight airframes has resulted in what used to be high frequency structural dynamics entering the low frequency range associated with an aircraft’s rigid body dynamics. This has led to the potential of adverse interactions between the aeroelastic effects and flight control, especially unwanted when incidents involving failures or extreme atmospheric disturbances occur. Moreover, the pilot’s response in such circumstances may not be reproducible in simulators and unique to the incident. The research described in this thesis describes the development of a pilot model suitable for the investigation of the effects of aeroelasticity on manual control and the study of the resulting airframe loads. After a review of the state-ofthe-art in pilot modelling an experimental approach involving desktop based pilot-in-the-loop simulation was adopted together with an optimal control based control-theoretic pilot model. The experiments allowed the investigation of manual control with a nonlinear flight control system and the derivation of parameter bounds for single-input-single-output pilot models. It was found that pilots could introduce variations of around 15 dB at the resonant frequency of the open loop pilot-vehicle-system. Sensory models suitable for the simulation of spatial disorientation effects were developed together with biomechanical models necessary to capture biodynamic feedthrough effects. A detailed derivation and method for the application of the modified optimal control pilot model, used to generate pilot control action, has also been shown in the contexts of pilot-model-in-the-loop simulations of scenarios involving an aileron failure and a gust encounter. It was found that manual control action particularly exacerbated horizontal tailplane internal loads relative to the limit loads envelope. Although comparisons with digital flight data recordings of an actual gust encounter showed a satisfactory reproduction and highlighted the adverse affects of fuselage flexibility on manual control, it also pointed towards the need for more incident data to validate such simulations.
First molecular approach to diagnose paediatric pulmonary lophomoniasis: A case series

A prospective study was conducted from 2017 to 2021 at Bouali Hospital in Mazandaran province, Sari, Iran. Out of 58 patients who were enrolled in our study, lophomoniasis was diagnosed in bronchoalveolar lavage fluid of nine patients, for the first time, using an in‐house polymerase chain reaction technique. All patients were treated with metronidazole at 7.5 mg/kg/day every 12 h for 14 days. After 6 months of follow‐up, symptoms were fully resolved.
Modelling Assisted Phytoremediation of Landfill Leachate using Surface Flow Constructed Wetland Enhanced by Pistia stratiote and Salvinia molesta

The current study is aiming to expose the efficiency of surface flow constructed wetland (CW) assisted by Pistia stratiote and Salvinia molesta in the remediation of landfill leachates. A laboratory-scale surface flow constructed wetland was constructed to imitate the characteristic of a natural pond. Composite sample of leachates was collected and transported to the laboratory for further analysis and studies. The removal efficiency of phenol, pesticides, sulphate, chloride, colour, turbidity, total suspend solid (TSS), total dissolved solid (TDS), biological oxygen demand (BOD), chemical oxygen demand (COD), ammonia nitrate and heavy metals (Pb, Cr, Cu, Cd, Ni, Hg)). The removal of heavy metal ions in the CW was determined by using a phyto-system dynamic (phyto-SDA) model while the composite design (CCD) type of response surface methodology (RSM) was employed in this study for the optimization of pesticides and phenol removal from the landfill leachates by the constructed wetland (CW). The study also predicts that the deviation from the linearity between the heavy metals in the leachates and heavy metals in the sediment and in the plant tissues is influenced by the physicochemical status of the leachate and the mixed cultivation of Pistia stratiote and Salvinia molesta. The study reaffirms the role of sediments in the determination of the fate of heavy metals due to its crucial role in the bioavailability of heavy metals for uptake by P. stratiotes and S. molesta in a CW. The study also shows a positive effect of concentration and exposure time on the reduction efficiency of both pesticides and phenol. The result shows that exposure time and concentration of phenol and pesticides are useful in the optimization of the removal efficiency of pesticides and phenol.
Untargeted Metabolomics Reveals Metabolic Stress Alleviation by Prepartum Exercise in Transition Dairy Cows

Prepartum exercise (PA) has been proposed as a strategy for the peripartum management of dairy cows; however, the mechanism by which PA affects metabolism has not been elucidated. Here, we investigated the metabolic changes in transition dairy cows with PA. Holstein transition multiparous dairy cows were assigned to an exercise (n = 12) or a control (n = 12) group; the cows in the exercise group walked for a targeted 45 min at 3.25 km/h, two times a day. Plasma non-esterified fatty acid (NEFA), β-hydroxybutyric acid (BHBA), glucose, and triglyceride levels were measured, and metabolic profiles were analyzed using untargeted mass spectrometry. Compared with those in the control group, the concentrations of NEFA at −7 d, glucose at 0 d, and BHBA at +7 d relative to calving were considerably decreased in the exercise group. Untargeted metabolomics analysis revealed differences in the levels of key metabolites, including kynurenine, tryptophan, homovanillic acid, dopamine, cis-9-palmitoleic acid, and palmitic acid, between the exercise and control group cows. This study suggests that PA may decrease homovanillic acid and cis-9-palmitoleic acid levels and increase tryptophan levels to alleviate the metabolic stress in dairy cows during calving, thereby improving postpartum health.
Enhanced thermoelectric performance by van Hove singularities in the density of states of type-II nodal-line semimetals

The eﬀects of the unique density of states (DOS) of a topological type-II nodal-line semimetal (NLS) on its thermoelectric (TE) transport properties are investigated through a combination of semi-analytical and ﬁrst-principles methods with “spinless Mg 3 Bi 2 ” as artiﬁcial material. The DOS in such a type-II NLS possesses two van Hove singularities near the energy of the nodal line that leads to a large S value compared to the normal metals. Combined with the linear band at the nodal line that gives high electrical conductivity σ , the type-II NLS can exhibit a relatively high TE power factor (PF = S 2 σ ) at the nodal line. In particular, we ﬁnd PF ∼ 60 µ W/cmK 2 at 300 K for the n-type Mg 3 Bi 2 by considering the electron-phonon scattering, in which the relaxation time τ of carriers can be expressed as τ ∝ DOS − 1 for the type-II NLS. Furthermore, we optimize parameters for the TE power factor of type-II NLSs in general by adopting the two-band model with the DOS-dependent relaxation time approximation. Our results suggest the type-II NLSs as a potential class of high-performance TE materials among metals and semimetals, which are traditionally considered not good TE materials compared to semiconductors.
Mobile Phone Ownership and Use Among Women Screening for Cervical Cancer in a Community-Based Setting in Western Kenya: Observational Study

Background Mobile phone ownership among women of reproductive age in western Kenya is not well described, and our understanding of its link with care-seeking behaviors is nascent. Understanding access to and use of mobile phones among this population as well as willingness to participate in mobile health interventions are important in improving and more effectively implementing mobile health strategies. Objective This study aims to describe patterns of mobile phone ownership and use among women attending cervical cancer screening and to identify key considerations for the use of SMS text message–guided linkage to treatment strategies and other programmatic implications for cervical cancer screening in Kenya. Methods This analysis was nested within a cluster randomized trial evaluating various strategies for human papillomavirus (HPV)–based cervical cancer screening and prevention in a rural area in western Kenya between February and November 2018. A total of 3299 women were surveyed at the time of screening and treatment. Questionnaires included items detailing demographics, health history, prior care-seeking behaviors, and patterns of mobile phone ownership and use. We used bivariate and multivariable log-binomial regression to analyze associations between independent variables and treatment uptake among women testing positive for high-risk HPV. Results Rates of mobile phone ownership (2351/3299, 71.26%) and reported daily use (2441/3299, 73.99%) were high among women. Most women (1953/3277, 59.59%) were comfortable receiving their screening results via SMS text messages, although the most commonly preferred method of notification was via phone calls. Higher levels of education (risk ratio 1.23, 95% CI 1.02-1.50), missing work to attend screening (risk ratio 1.29, 95% CI 1.10-1.52), and previous cervical cancer screening (risk ratio 1.27, 95% CI 1.05-1.55) were significantly associated with a higher risk of attending treatment after testing high-risk HPV–positive, although the rates of overall treatment uptake remained low (278/551, 50.5%) among this population. Those who shared a mobile phone with their partner or spouse were less likely to attend treatment than those who owned a phone (adjusted risk ratio 0.69, 95% CI 0.46-1.05). Treatment uptake did not vary significantly according to the type of notification method, which were SMS text message, phone call, or home visit. Conclusions Although the rates of mobile phone ownership and use among women in western Kenya are high, we found that individual preferences for communication of messages about HPV results and treatment varied and that treatment rates were low across the entire cohort, with no difference by modality (SMS text message, phone call, or home visit). Therefore, although text-based results performed as well as phone calls and home visits, our findings highlight the need for more work to tailor communication about HPV results and support women as they navigate the follow-up process.
Interdependence of Angiogenesis and Arteriogenesis in Development and Disease

The structure of arterial networks is optimized to allow efficient flow delivery to metabolically active tissues. Optimization of flow delivery is a continuous process involving synchronization of the structure and function of the microcirculation with the upstream arterial network. Risk factors for ischemic cardiovascular diseases, such as diabetes mellitus and hyperlipidemia, adversely affect endothelial function, induce capillary regression, and disrupt the micro- to macrocirculation cross-talk. We provide evidence showing that this loss of synchronization reduces arterial collateral network recruitment upon arterial stenosis, and the long-term clinical outcome of current revascularization strategies in these patient cohorts. We describe mechanisms and signals contributing to synchronized growth of micro- and macrocirculation in development and upon ischemic challenges in the adult organism and identify potential therapeutic targets. We conclude that a long-term successful revascularization strategy should aim at both removing obstructions in the proximal part of the arterial tree and restoring “bottom-up” vascular communication.
A mode-in-state contribution factor based on Koopman operator and its application to power system analysis

This paper proposes a mode-in-state contribution factor for a class of nonlinear dynamical systems by utilizing spectral properties of the Koopman operator and sensitivity analysis. Using eigenfunctions of the Koopman operator for a target nonlinear system, we show that the relative contribution between modes and state variables can be quantiﬁed beyond a linear regime, where the nonlinearity of the system is taken into consideration. The proposed contribution factor is applied to the numerical analysis of large-signal simulations for an interconnected AC/multi-terminal DC power system.
Neural fields for dynamic imaging

Dynamic imaging systems monitor physiological processes that evolve or change over time. However, image reconstruction from dynamic data is made difficult by data incompleteness and significant computational burden. Data incompleteness, in particular, arises from severe undersampling often necessary to increase frame rate by reducing data acquisition time and leads to ill-posedness of the reconstruction problem. Computational cost and memory requirements are particularly burdensome for three-dimensional problems, especially for applications in which high-resolution in space and time is needed. Two main approaches exist for dynamic image reconstruction. Frame-by-frame approaches solve a sequence of image reconstruction problems (one for each frame). Spatiotemporal approaches instead directly reconstruct the dynamic object using data from all imaging frames at once. Although statistically suboptimal, frame-by-frame approaches have often been advocated because of the ease of implementation and lower memory requirements. This work explores a new spatiotemporal dynamic reconstruction approach that uses neural fields, a special class of neural networks, to drastically reduce the computational complexity and memory requirements while exploiting the object’s spatiotemporal redundancies. As a feasibility study, a simple dynamic image reconstruction problem whose forward operator is given by the circular Radon transform is considered. Numerical results demonstrate that the proposed approach is more accurate and uses less memory than the classical frame-by-frame approach.
3D printing of individual skin brachytherapy applicator: design, manufacturing, and early clinical results

Purpose One of the main challenges in facial region brachytherapy is fixation of vendor-delivered standard applicators. Reproducibility can be maintained; however, there are frequent problems with applicator fitting to the skin surface in pleated regions. Manually prepared individual moulds require technological facilities and highly-trained staff. This article presents 3D-printed applicator preparation for a particular patient skin brachytherapy, using low-cost equipment and free software. We described applicator preparation in a step-by-step workflow. Material and methods This study demonstrated preparation of a skin brachytherapy applicator for a challenging recurrent tumor located in the nose bridge. During first visit of patient, fiducial markers were placed to enclose treated region. Patient was computed tomography (CT)-scanned, and reconstruction of target volume and surrounding organs at risk (OARs) were performed using treatment planning system (TPS). In TPS on patient’s surface, a 1-cm thick bolus was added as a body of applicator. Inside the bolus, source paths were designed, and pre-plan was prepared. Using Beben – DICOM to standard triangle language (STL) software, the body of applicator and source-paths from pre-planning was transformed into an STL file, which was used as a solid definition in 3D printing. Results The printed applicator fitted very well, and its’ placement was quickly consistent regarding placing and securing. CTV was slightly broader in treatment plan (0.34 cm3 vs. 0.31 cm3), and doses given to CTV were lower, except for V150, which was higher for the realized plan (1.15% vs. 1.83%). All reported doses to OARs were lower in the realized plan. Conclusions A low-cost 3D printer and widely available PLA filaments seem feasible to produce individual contact applicators for skin brachytherapy. Beben – DICOM to STL software and presented workflow appear to be convenient and simple tool.
PEG-400 assisted synthesis of 2-(R-benzylidene)-5-(R-cinnamylidene)cyclopentanones

Abstract The simple and efficient method has been developed for the synthesis of a new type of cross-conjugated system − 2-(R-benzylidene)-5-(R-cinnamylidene)cyclopentanones in PEG-400. The preparation of these compounds by two routes from 2-(R-benzylidene)cyclopentanones and 2-cinnamylidenecyclopentanone was considered. Graphical Abstract
HYBRID NAVIGATION SYSTEM FOR INDOOR USE

This article describes the design and implementation of a hybrid in-building navigation system. The word hybrid has a twofold meaning in this case. On the one hand, it refers to the use of two tracking methods: demanding (beacons) and not requiring an electronic device (radio tomography imaging). On the other hand, it specifies several commercial wireless communication protocols that make up the presented system. Ultimately, the network created in this way will be designed to provide the user with location and navigation services with increased accuracy and reliability. The text describes both the topology of created networks, methods of communication between devices and their hardware layer, as well as the effects of work resulting from the actual test object.
SPRÁVA VÍCE PROJEKTŮ A PREZENTACE JEJICH VÝSLEDKŮ

Tento přispěvek představuje problemy a požadavky při nutnosti spravovat vice projektů paralelně. Ukazuje postupy, ktere byly pro jejich řeseni navrhnuty a použivaji se na FI MU. Hlavni cast je pak věnovana popisu vývoje a vlastnosti systemu "Deep Thought", který vznikl na zakladě dřive použivaných nastrojů a dava si za ukol je sjednotit pro lepsi uživatelský komfort (pro spravce, programatory i uživatele).
Endothelial Dysfunction in COVID-19: A Unifying Mechanism and a Potential Therapeutic Target

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) generated a worldwide emergency, until the declaration of the pandemic in March 2020. SARS-CoV-2 could be responsible for coronavirus disease 2019 (COVID-19), which goes from a flu-like illness to a potentially fatal condition that needs intensive care. Furthermore, the persistence of functional disability and long-term cardiovascular sequelae in COVID-19 survivors suggests that convalescent patients may suffer from post-acute COVID-19 syndrome, requiring long-term care and personalized rehabilitation. However, the pathophysiology of acute and post-acute manifestations of COVID-19 is still under study, as a better comprehension of these mechanisms would ensure more effective personalized therapies. To date, mounting evidence suggests a crucial endothelial contribution to the clinical manifestations of COVID-19, as endothelial cells appear to be a direct or indirect preferential target of the virus. Thus, the dysregulation of many of the homeostatic pathways of the endothelium has emerged as a hallmark of severity in COVID-19. The aim of this review is to summarize the pathophysiology of endothelial dysfunction in COVID-19, with a focus on personalized pharmacological and rehabilitation strategies targeting endothelial dysfunction as an attractive therapeutic option in this clinical setting.
Magnetism, rotation, and nonthermal emission in cool stars. Average magnetic field measurements in 292 M dwarfs

Stellar dynamos generate magnetic ﬁelds that are of fundamental importance to the variability and evolution of Sun-like and low-mass stars, and for the development of their planetary systems. As a key to understanding stellar dynamos, empirical relations between stellar parameters and magnetic ﬁelds are required for comparison to ab initio predictions from dynamo models. We report measurements of surface-average magnetic ﬁelds in 292 M dwarfs from a comparison with radiative transfer calculations; for 260 of them, this is the ﬁrst measurement of this kind. Our data were obtained from more than 15,000 high-resolution spectra taken during the CARMENES project. They reveal a relation between average ﬁeld strength, (cid:104) B (cid:105) , and Rossby number, Ro , resembling the well-studied rotation-activity relation. Among the slowly rotating stars, we ﬁnd that magnetic ﬂux, Φ B , is proportional to rotation period, P , and among the rapidly rotating stars that average surface ﬁelds do not grow signiﬁcantly beyond the level set by the available kinetic energy. Furthermore, we ﬁnd close relations between nonthermal coronal X-ray emission, chromospheric H α and Ca H&K emission, and magnetic ﬂux. Taken together, these relations demonstrate empirically that the rotation-activity relation can be traced back to a dependence of the magnetic dynamo on rotation. We advocate the picture that the magnetic dynamo generates magnetic ﬂux on the stellar surface proportional to rotation rate with a saturation limit set by the available kinetic energy, and we provide relations for average ﬁeld strengths and nonthermal emission that are independent of the choice of the convective turnover time. We also ﬁnd that CaH&K emission saturates at average ﬁeld strengths of (cid:104) B (cid:105) ≈ 800G while H α and X-ray emission grow further with stronger ﬁelds in the more rapidly rotating stars. This is in conﬂict with the coronal stripping scenario predicting that in the most rapidly rotating stars coronal plasma would be cooled to chromospheric temperatures.
LOW POWER AND LOW JITTER PHASE FREQUENCY DETECTOR FOR PHASE LOCK LOOP

This paper presents three types of phase frequency detectors – traditional PFD, modified PFD and high speed PFD. With the comparison of Low power and low jitter phase frequency detector the high speed phase frequency detector is the best candidate for this. High speed phase frequency detector is operated at 1GHz input frequency with 1.8v power supply, power consumption of . 39nwatt and jitter is only 2ps. The design is simulated with . 35µm CMOS technology.
Hyperheuristics in Logistics

Success in using exact methods for large scale combinatorial optimization is still limited to certain problems or to specific classes of instances of problems. The alternative way is either using metaheuristics or matheuristics that rely on exact methods in some ways. In the context of combinatorial optimization, we are interested in heuristics to choose heuristics invoked to solve the addressed problem. In this thesis, we focus on hyperheuristic optimization in logistic problems. We focus on proposing a hyperheuristic framework that carries out a search in the space of heuristic algorithms and learns how to change the incumbent heuristic in a systematic way along the process in such a way that a good sequence of heuristics produces high quality solutions. We propose HHs for two problems in logistics: the workover rig scheduling problem and the hub location routing problem. Then, we compare the performances of several HHs described in the literature for the latter problem, which embed different heuristic selection methods such as a random selection, a choice function, a Q-Learning approach, and an ant colony based algorithm. The computational results prove the efficiency of HHs for the two problems in hand, and the relevance of including Lagrangian relaxation information for the second problem.