Miracle-dz/UniFAR-FTUs huggingface dataset:
Sociodemographic and Psychological Variables and Concerns Related to COVID-19 Vaccination among Polish Citizens

The aim of this study performed during the fourth wave of the pandemic was to analyse differences in sociodemographic and psychological variables between those who cite concerns regarding COVID-19 vaccination and those who do not, as well as the differences between those whose concerns stem from a negative evaluation of vaccines and those whose concerns are based on a positive evaluation of vaccines. The study included 417 participants aged 18 to 76 years (M = 34, SD = 13.9). Among the respondents, 89% were female. A survey questionnaire on sociodemographic variables and standardized research tools were used: mood (UMACL), emotions (PANAS), satisfaction with life (SWLS), optimism (LOT-R), and coping with stress (CISS). The results of the study indicate that the elderly and working people are concerned about inadequate vaccination of the population, whereas students are concerned about the pressure of compulsory vaccination. People who are concerned about inadequate vaccination of population are more likely to experience concerns about various stressors. Our results do not indicate a relationship between psychological variables and vaccination-related concerns. The results obtained may be the basis for the identification of target groups in order to adapt social campaigns promoting vaccination against COVID-19 in Poland.
A Targeted Proteomics Approach for Screening Serum Biomarkers Observed in the Early Stage of Type I Endometrial Cancer

Endometrial cancer (EC) is the most common gynecologic malignancy, and it arises in the inner part of the uterus. Identification of serum biomarkers is essential for diagnosing the disease at an early stage. In this study, we selected 44 healthy controls and 44 type I EC at tumor stage 1, and we used the Immuno-oncology panel and the Target 96 Oncology III panel to simultaneously detect the levels of 92 cancer-related proteins in serum, using a proximity extension assay. By applying this methodology, we identified 20 proteins, associated with the outcome at binary logistic regression, with a p-value below 0.01 for the first panel and 24 proteins with a p-value below 0.02 for the second one. The final multivariate logistic regression model, combining proteins from the two panels, generated a model with a sensitivity of 97.67% and a specificity of 83.72%. These results support the use of the proposed algorithm after a validation phase.
Design of an origami-based cylindrical deployable mechanism

Abstract. In this paper, an innovative cylindrical deployable mechanism (DM) based on rigid origami is presented, which is used to design a parabolic cylindrical deployable antenna. The mechanism can be deployed from the cuboid folded configuration to the cylindrical unfolded configuration with only one actuator. First, an innovative deployable string is proposed based on different types of four-vertices origami unit cells and kirigami techniques. By considering the units as 6R single-loop mechanisms, the kinematics of the origami unit cells are analyzed. Through the connection of identical deployable strings, the cylindrical DM is constructed, and its mobility is analyzed utilizing the screw theory. Then the proposed DM is used to design a parabolic cylindrical deployable antenna. A number of pillars are installed on the panels of the DM, and their lengths are determined to fit the required parabolic cylindrical surface. To verify the feasibility of the design, a scaled prototype of the deployable antenna is constructed.
Chopping for over 50 MHz gain‐bandwidth product current sense amplifiers achieving input noise level of 8.5 nV/√Hz

An accurate, high‐speed, fully differential difference amplifier for current sensing utilizing the chopper approach was implemented in a 0.18 μm complementary metal‐oxide‐semiconductor (CMOS) technology. Unlike state‐of‐the‐art solutions, we use a higher chopping frequency in the MHz range due to the bandwidth requirements of the introduced circuits for the latter application, namely, low‐side phase‐current measurement in motor control circuits. Except the low‐pass filter (LPF) effect of the output stage, no additional LPF was integrated in hardware at the output of the circuits. We show that on the other hand a digital LPF, which can be integrated in the field‐programmable gate‐array (FPGA) logic or microcontroller used for the motor control, offers a higher flexibility in terms of filter design. Weak input signals of only few mV can be reconstructed with a high accuracy. This is demonstrated for a 500 kHz rectangular signal and a chopping frequency of 20 MHz. Note that an input‐signal frequency of several hundreds of kHz with harmonics in the MHz region is very challenging for chopper amplifiers. Still, a significant decrease of the input‐referred noise is demonstrated, especially cancelling out the 1/f‐noise achieving a remaining noise floor of approximately 8.5 nV/√Hz. Overall, the input‐referred noise level can be pushed far below 50 μV (root mean square). Moreover, using a quite relaxed second‐order Butterworth filter with a 3 dB corner frequency of 1 MHz, input‐referred noise levels of 10 μV (root mean square) can be easily achieved at the costs of reduced bandwidth. The lowest achieved input offset is 50 μV. The gain is adjusted by resistive feedback and is approximately 40 dB. Hence, the amplifier is suitable for current sensing in motor control circuits, and a significant reduction of the shunt resistance typically used for this purpose will be possible.
Multi-Task Self-Supervised Learning for Vehicle Classification Based on Carrier-Free UWB Radars

Recently, target recognition based on the carrier-free ultrawideband (UWB) radar has attracted increasing attention, as compared with narrowband radars and other traditional UWB radars, short duration and extreme bandwidth guarantee that carrier-free UWB echoes carry richer knowledge concerning the target of interest. However, its widespread application to target recognition faces a challenge; that is, the target-aspect sensitivity issue. The target-aspect sensitivity refers to the phenomenon that carrier-free UWB echoes significantly vary as target-aspect changes, decreasing recognition accuracy. To address this problem, this article presents a novel multitask self-supervised learning model that can capture abundant semantic information relying on data itself instead of identity annotations. First, the model is formulated as a target-aspect-invariant task, which maximizes the mutual information between original data and transformed ones to learn insensitive representations. Then, given the impact of noise on recognition performance, a stacked convolutional denoising autoencoder (SCDAE) is combined with the proposed self-supervised learning framework to extract noise-robust and target-aspect-invariant features synchronously. Extensive experiments on the measured and synthetic data demonstrate that the proposed model can achieve excellent classification performance.
The Polish Version of the Avoidant/Restrictive Food Intake Disorder Questionnaire—Parents Report (ARFID-Q-PR) and the Nine Items Avoidant/Restrictive Food Intake Disorder Screen—Parents Report (NIAS-PR): Maternal Perspective

The aim of the present study was to develop and validate the Avoidant/Restrictive Food Intake Disorder Questionnaire—Parents Report (ARFID-Q-PR), a new tool to diagnose ARFID, based on a report submitted by Polish mothers of children aged 2 to 10 years. In total, 167 mothers of boys and girls aged 2 to 10 participated in the study. We used the ARFID-Q-PR and the Nine Items Avoidant/Restrictive Food Intake Disorder Screen—Parents Report (NIAS-PR). In addition, all mothers were asked to provide information on age, sex, height and weight, chronic somatic diseases, neurodevelopmental and mental disorders as well as intellectual disability of their children. Results of the reliability analysis demonstrated that the ARFID-Q-PR had adequate internal consistency (Cronbach’s alpha of 0.84). The stability of the ARFID-Q-PR factorial structure was confirmed. It is composed of three subscales: (1) attitudes to food; (2) justification for restrictions; (3) somatic symptoms. Our findings demonstrated that the ARFID-Q-PR total score was positively associated with the NIAS-PR total score. In addition, children with developmental and mental disorders substantially demonstrated more ARFID symptoms than did the children in the general population. The Polish version ARFID-Q-PR can be used to recognize the ARFID symptoms in young children by the main feeder in the family—mother or father.
Miniaturized Circularly Polarized Vicsekcross-Shaped Slot Antenna for UHF-RFID Reader Handset Applications

In this research, a circularly polarized antenna employing fractal slot geometry is proposed for UHF-RFID handset reader application. The proposed antenna consists of vicsekcross-shaped slot etched at diagonal axis to achieve circular polarization with a coaxial feed placed 45° with respect to the slot. The evolution of Vicsekcross shaped fractal slot is developed in different iteration stages for achieving wide impedance bandwidth covering U.S. UHF-RFID band with good axial ratio bandwidth performance. The single slotted reader antenna was investigated first followed by multi-slot antenna for size miniaturization, impedance bandwidth and axial ratio bandwidth performance. The impedance bandwidth and axial ratio bandwidth of the designed antenna were observed to be 25 MHz (903-927 MHz) and 7 MHz (911-917 MHz), respectively. Additionally, the designed antenna exhibited LHCP with a maximum measured gain of 2.9 dBic. The size of the final Vicsekcross-shaped four slot CP reader antenna is compact with dimensions of 57 × 57 × 1.6 mm3.
Ecological and Environmental Stability in Offshore Southern California Marine Basins Through the Holocene

In the face of ongoing marine deoxygenation, understanding timescales and drivers of past oxygenation change is of critical importance. Marine sediment cores from tiered silled basins provide a natural laboratory to constrain timing and implications of oxygenation changes across multiple depths. Here, we reconstruct oxygenation and environmental change over time using benthic foraminiferal assemblages from sediment cores from three basins across the Southern California Borderlands: Tanner Basin (EW9504‐09PC, 1,194 m water depth), San Nicolas Basin (EW9504‐08PC, 1,442 m), and San Clemente Basin (EW9504‐05PC,1,818 m). We utilize indicator taxa, community ecology, and an oxygenation transfer function to reconstruct past oxygenation, and we directly compare reconstructed dissolved oxygen to modern measured dissolved oxygen. We generate new, higher resolution carbon and oxygen isotope records from planktic (Globigerina bulloides) and benthic foraminifera (Cibicides mckannai) from Tanner Basin. Geochemical and assemblage data indicate limited ecological and environmental change through time in each basin across the intervals studied. Early to mid‐Holocene (11.0–4.7 ka) oxygenation below 1,400 m (San Clemente and San Nicolas) was relatively stable and reduced relative to modern. San Nicolas Basin experienced a multi‐centennial oxygenation episode from 4.7 to 4.3 ka and oxygenation increased in Tanner Basin gradually from 1.7 to 0.8 ka. Yet across all three depths and time intervals studied, dissolved oxygen is consistently within a range of intermediate hypoxia (0.5–1.5 ml L−1 [O2]). Variance in reconstructed dissolved oxygen was similar to decadal variance in modern dissolved oxygen and reduced relative to Holocene‐scale changes in shallower basins.
Bone/Muscle Interaction as a Good Biomarker for Lifespan and Quality

We have read with the outmost interest the recent publication by Dayer SR et al entitled “Does Superior Bone Health Promote a Longer Lifespan? ” which paves the path of a direct implication of bone health on longevity. This paper was then followed by an intriguing letter to the Editor by Nguyen VH entitled “Superior Bone Health for Promoting Longer and Better Lives” which invoked for a wider understanding of such situation, requiring for life quality to be added to the mixture as another positive influence of superior bone health. We concur in both cases with the authors, strongly believing that the quality of life is not just equally important with the longevity, but it is undoubtedly also interrelated to it. However, the “superior bone health” presents a state that prevailed notwithstanding the external/ internal opposing forces (ie disease). In this context we would like to try headhunting for the “bad guys” that might be responsible to the situation and that we feel are often misunderstood and misinterpreted. Amongst others, osteosarcopenia presents a novel concept which intends to describe the coexistence of both osteoporosis/osteopenia (lower bone mineral density) and sarcopenia (lower muscle mass and function (strength and/or performance)) within the same person. It has already been described as a serious risk factor for both mortality and morbidity. Having in mind the consequences of osteoporosis/osteopenia and sarcopenia on bone and muscle independently but also interchangeably through the functional muscle-bone unit, it should be amongst the top priority obstacles on the path to a greater lifespan, always not undermining the potential share of genetic and other environmental influences on the matter. Since the presentation of the revised definition, diagnostic algorithm and criteria from the European Working Group in Sarcopenia for Older People (EWGSOP2), where the key diagnostic component shifted from low muscle mass to low muscle strength, the later has been exponentially emphasized for its implication on negative outcomes (such as morbidity, mortality or lifespan). As the worldwide population is rapidly ageing, the percentages of people suffering from osteosarcopenia (or even each of the conditions separately) is expected to dramatically increase in the upcoming years. Thus it would be important to encourage researchers to shift attention towards further investigating the age-related interaction between bone and muscle health, as well as their interrelated function (considering as a whole concept) as a predictor of longer and better lives. We believe that bone superiority should present a good and promising longevity marker, but analyzing it in relation and association with muscle strength might help reaching the real maximal capacities.
Compact Maximum Correntropy-Based Error State Kalman Filter for Exoskeleton Orientation Estimation

This brief investigates the maximum correntropy-based Kalman filtering problem for exoskeleton orientation by fusing signals from accelerometers and gyroscopes. The conventional error state Kalman filter (ESKF) has been applied to many applications for orientation estimation. However, its performance degenerates remarkably with external acceleration. In this brief, the influence of the external acceleration is analyzed and the dilemma of the conventional ESKF is declared. To address this issue, a weighted correntropy and a novel correntropy-induced metric (CIM) are provided. Then, a compact maximum correntropy-based Kalman filter (CMC-KF) is derived based on the proposed metric, which performs well both with and without non-Gaussian noises. Finally, a compact maximum correntropy-based ESKF (CMC-ESKF) is designed for orientation estimation of exoskeletons. A series of experiments are conducted to verify the effectiveness of the proposed method. Results reveal that the proposed algorithm is significantly better than the conventional ESKF and the gradient descent (GD) method, especially with external accelerations.
Left atrial acceleration factor as a magnetic resonance 4D flow measure of mean pulmonary artery wedge pressure in pulmonary hypertension

Background Mean pulmonary artery wedge pressure (PAWP) represents a right heart catheter (RHC) surrogate measure for mean left atrial (LA) pressure and is crucial for the clinical classification of pulmonary hypertension (PH). Hypothesizing that PAWP is related to acceleration of blood throughout the LA, we investigated whether an adequately introduced LA acceleration factor derived from magnetic resonance (MR) four-dimensional (4D) flow imaging could provide an estimate of PAWP in patients with known or suspected PH. Methods LA 4D flow data of 62 patients with known or suspected PH who underwent RHC and near-term 1.5 T cardiac MR (ClinicalTrials.gov identifier: NCT00575692) were retrospectively analyzed. Early diastolic LA peak outflow velocity (vE) as well as systolic (vS) and early diastolic (vD) LA peak inflow velocities were determined with prototype software to calculate the LA acceleration factor (α) defined as α = vE/[(vS + vD)/2]. Correlation, regression and Bland-Altman analysis were employed to investigate the relationship between α and PAWP, α-based diagnosis of elevated PAWP (>15 mmHg) was analyzed by receiver operating characteristic curve analysis. Results α correlated very strongly with PAWP (r = 0.94). Standard deviation of differences between RHC-derived PAWP and PAWP estimated from linear regression model (α = 0.61 + 0.10·PAWP) was 2.0 mmHg. Employing the linear-regression-derived cut-off α = 2.10, the α-based diagnosis of elevated PAWP revealed the area under the curve 0.97 with sensitivity/specificity 93%/92%. Conclusions The very close relationship between the LA acceleration factor α and RHC-derived PAWP suggests α as potential non-invasive parameter for the estimation of PAWP and the distinction between pre- and post-capillary PH.
Galilean quantum gravity in 2+1 dimensions

In this thesis, we study the Galilean limit of gravity in 2 + 1 dimensions and give the necessary ingredients for its quantisation. We study two groups that play fundamental role in this thesis, the two-fold central extension of the Galilei and Newton-Hooke groups in 2+1 dimensions and their corresponding Lie algebras. We construct what we call “Galilean gravity in 2+1 dimensions” as the Chern-Simons theory of the Galilei group and generalise this construction to include a cosmological constant which, in the present setting corresponds to the Chern-Simons theory of the Newton-Hooke group. Finally, we apply the combinatorial quantisation program in detail to the Galilei group: we give the irreducible, unitary representation of the relevant quantum double and fully explore Galilean quantum gravity in this setting. We highlight the associated structures for the Newton-Hooke group and provide an outline for a similar quantisation. In doing so, we provide the link between Newton-Hooke gravity, and a deformation of an extension of the Heisenberg algebra that is well-studied. to my grandfather, Anestis Tsemperlidis στον παππού μου, Ανέστη Τσeμπeρλίδη
Assessment of Public Flood Risk Perception and Influencing Factors: An Example of Jiaozuo City, China

There are many studies showing that public flood risk perception may promote people’s motivation to reduce flood risk and enhance their coping behavior, thus providing useful insights for flood risk management. The purpose of this article is to estimate residents’ flood risk perception in Jiaozuo City and to identify the influencing factors. A questionnaire survey method was used to collect data and a composite index was constructed to measure public risk perception. Each respondent’s grade of flood risk perception was calculated using the relationship between the standard deviation (SD) and the mean value (MV) of flood risk perception index (RPI) scores. Moreover, the hypotheses concerning different groups were tested using an independent sample T-test and one-way ANOVA (analysis of variance), and the group differences in flood risk perception on each observed dependent variable were explored using post hoc tests. The flood risk perception of the total respondents was divided into three levels based on the SD and MV of RPI scores: low (68.4%), moderate (13.7%), and high (17.9%). Respondents with low education, low income, less flood experiences, and who have married, lived in rural areas or near rivers/reservoirs had a higher flood risk perception than others, and respondents who lived in flood storage areas had a lower risk perception. Moreover, the ability to mitigate floods and the trust in flood-control projects were negatively related to the flood risk perception.
MsWH: A Multi-Sensory Hardware Platform for Capturing and Analyzing Physiological Emotional Signals

This paper presents a new physiological signal acquisition multi-sensory platform for emotion detection: Multi-sensor Wearable Headband (MsWH). The system is capable of recording and analyzing five different physiological signals: skin temperature, blood oxygen saturation, heart rate (and its variation), movement/position of the user (more specifically of his/her head) and electrodermal activity/bioimpedance. The measurement system is complemented by a porthole camera positioned in such a way that the viewing area remains constant. Thus, the user’s face will remain centered regardless of its position and movement, increasing the accuracy of facial expression recognition algorithms. This work specifies the technical characteristics of the developed device, paying special attention to both the hardware used (sensors, conditioning, microprocessors, connections) and the software, which is optimized for accurate and massive data acquisition. Although the information can be partially processed inside the device itself, the system is capable of sending information via Wi-Fi, with a very high data transfer rate, in case external processing is required. The most important features of the developed platform have been compared with those of a proven wearable device, namely the Empatica E4 wristband, in those measurements in which this is possible.
The Rise of “Internet of Things”: Review and Open Research Issues Related to Detection and Prevention of IoT-Based Security Attacks

This paper provides an extensive and complete survey on the process of detecting and preventing various types of IoT-based security attacks. It is designed for software developers, researchers, and practitioners in the Internet of Things field who aim to understand the process of detecting and preventing these attacks. For each entry identified from the list, a brief description is provided along with references where more information can be found. However, We surveyed the current state-of-the-art IoT security solutions and focused on four main aspects: (1) handpicking representative attacks, (2) identifying potential solutions, (3) performing a threat analysis for each attack and solution, and (4) ranking solutions according to the threats they overcome. By adopting this framework, we identified five main categories of defense mechanisms: distributed denial of service detection/prevention, default password protection, encryption mechanisms, intrusion detection/prevention, and anomaly detection. These solutions are relatively mature in terms of utility and usability. However, the security analysis is conducted only concerning specific attacks, which may or may not be relevant to real-world deployment. Appropriate IoT security solutions should incorporate threat modeling while considering other factors such as resource consumption and implementation effort. Overall, evaluation of IoT security solutions is arduous due to the complexity of IoT OSes, heterogeneous IoT devices (e.g., various hardware platforms), limited availability of open-source codebases, and restrictive policies towards intellectual property disclosure. In addition, we note that there remains a lack of studies that perform a systematic evaluation of the state-of-the-art in terms of both frameworks/methodologies and mechanisms proposed.