Miracle-dz/UniFAR-FTUs huggingface dataset:
Global reports of takotsubo (stress) cardiomyopathy following COVID-19 vaccination: First systematic review and meta-analysis

Background and aims Concerns have been raised recently about takotsubo cardiomyopathy after receiving COVID-19 vaccines, particularly the messenger RNA (mRNA) vaccines. The goal of this study was to compile case reports in order to provide a comprehensive overview of takotsubo cardiomyopathy associated with COVID-19 vaccines. Methods From inception until March 10, 2022, a systematic literature search was conducted in PubMed and Google Scholar. The study included individuals who developed cardiac takotsubo cardiomyopathy as a result of receiving COVID-19 vaccinations, regardless of the type of vaccine or dose. Results Eight studies, including 8 cases, participated in the current systematic review. The median age was 61.6 years; 87.5% were female, while 12.5% were male. 75% of the patients received the mRNA COVID-19 vaccines, while 25% received other types. In addition, takotsubo cardiomyopathy occurred in 62.5% of patients after receiving the first dose and another 25% after the second dose of COVID-19 vaccines. Moreover, the mean number of days to the onset of symptoms was 2.62 days. All cases had an elevated troponin test and abnormal ECG findings. The left ventricular ejection fraction (LVEF) was above 50% among all cases. In terms of the average length of stay in the hospital, 62.5% stayed for 10.2 days, and all cases recovered from their symptoms. Conclusion Takotsubo (stress) cardiomyopathy complications that are associated with COVID-19 vaccination are rare, they can be life-threatening. Chest pain should be considered an alarming symptom, especially in those who had received a second dose of the vaccine in the last 3 days. For diagnosis, CK-MB and troponin are better biomarkers to confirm myocarditis than CRP, ESR, and NT-proBNP. All of cases completely recovered.
3D SURFACE MICRO TOPOGRAPHY RECOVERY FROM MULTI-FOCUS IMAGES USING MODIFIED LAPLACIAN OPERATOR

: Optical microscopy enables the observation of highly magnified objects and material structures on micro surfaces, however with the weakness that it can only acquire 2D images. In order to observe the areal features more accurately and intuitively, 3D surface micro topography recovery is applied to form a 3D surface model of an object from its 2D image sequence. Optical microscope has a limited depth of focus in large magnification, which makes the area within the depth of focus cleared and other area blurred. So this paper firstly acquires image sequence which obtains all useful information in one view by vertical scanning of the microscope. Secondly, each image is calculated by an appropriate focus measure operator to find the maximum focus measure value and form a 2D fused image. Then the maximum value of each pixel is accurately transferred into a distance value, forming a discrete depth map. After conducting interpolation, fitting and color mapping, a smooth and authentic 3D color model of the measured surface is obtained. Various focus measure operators such as grey level variance are used to compare their performances in 3D model recovery. The superiority of the modified Laplacian operator proposed in this paper is proved by experimenting on measured objects with different micro topography features such as ditch shaped and slope shaped structure. In addition, surface roughness information of R a and R z is extracted from the formed 3D models.
Fusion of robotic microassembly and self-assembly for microsystem integration and thin-chip microassembly for 3D integration

Ultra-thin dies are difficult to package because of their fragility and flexibility. Current ultra-thin die integration technology for 3D microsystems relies on robotic pick-and-place machines and machine vision, which has rather limited throughput for high-accuracy assembly of those fragile ultra-thin dies. In this paper, we report a hybrid assembly strategy that consists of robotic pick-and-place using a vacuum micro-gripper, and droplet self-alignment by capillary force. Ultra-thin dies with breakable links are chosen as part of the assembly strategy. Experimental results show that we can align ultra-thin (10µm) dies with sub-micron accuracy without machine vision. A fully automatic sequence of stacking several of these dies is demonstrated. As a result, 12 ultra-thin dies have been assembled. Those early results show that integration of ultra-thin die with higher throughput than the current industry robot is possible by applying both robotic handling and droplet self-alignment to ultra-thin die assembly.
Coronal Seismology Using Damping of Propagating Kink Waves

We consider the use of propagating kink waves, such as those observed by the Coronal Multi-channel Polarimeter, as a diagnostic technique. The transverse structuring of the plasma may be inferred by the frequency-dependent wave damping, which is attributed to resonant absorption. We include the effect of reflection of waves at the loop footpoints, which leads to the asymmetry parameter, describing the ratio of driven wave power at the footpoints becoming weakly constrained. The classical model of resonant absorption based on an exponential damping profile significantly overestimates the damping rate in coronal loops with low density contrast ratios. The use of the exponential profile in an analysis of observations therefore leads to underestimates for the density contrast ratio and associated parameters such as the heating rate following phase mixing.
Consumer Attitudes towards Mobiles Advertising in Malaysia: A Case Study at University Teknologi Mara (UiTM), Kelantan, Malaysia

: This study is aimed to conceptualized the validity of Ducoffe model and Brackett and Carr model to identify the relationship between factors Irritation (IR), Entertainment, (EN), Informativeness (INFO), Credibility (CR) and Personalization (PE) with Consumers Attitudes (AT) among students from Faculty of Business Management in Mara University of Technology, Kelantan. A survey has been conducted among 150 students from a total population of 2101 students in Faculty of Business Management, Mara University of Technology, Kelantan. The data analysis process was done using Partial Least Square Path Modelling (PLS-SEM). The results of the study revealed INFO, EN and PE were found positive and statistically significant towards Consumers Attitudes (AT). PE was found to be the most significant factor among the four factors.
Investigating the Process of Revealing Individual Creativity through Exploration and Exploitation: Emphasis on Psychological Empowerment

The objective of this research is to suggest the creativity revelation model and to verify the relationships among knowledge capabilities and creativity processes including exploration and exploitation. Also, we investigate whether there are differences in creativity revelation processes from the perspective of psychological empowerment. To achieve the purpose of the research, a survey was conducted targeting employees of software development companies that require creativity in work performance. Empirical results show that knowledge capabilities have positive effect on creativity revelation processes. The notable point of the results is the role of psychological empowerment such that individuals with high psychological empowerment have more exploration-centric revelation, and those with low psychological empowerment have more exploitation-centric on the other hand. These results are interpreted that the behavioral patterns of organizational members may vary depending on the level of psychological empowerment in the creativity revelation, and therefore could suggest several managerial implications regarding creativity management and organizational development in an environment where convergence becomes more important.
The mediation effect of customer satisfaction in the relationship between service quality and customer loyalty in the banking industry in Malaysia

This paper aims to examine the factors affecting the adoption of internet banking services by commercial banks in Malaysia. This study applies a SEM model to measure service quality in line with recent advances in the general-marketing and consumer-behavior literature. A total of 402 valid samples were obtained from customers of Malaysian banking sectors. Evidence from survey studies and from banks’ web sites indicated that a significant relationship between service quality, customer satisfaction and loyalty. The results also reveal that customer satisfaction mediates the relationship between service quality and loyalty.
Photoluminescence Studies on LiNa 5 ( PO 4 ) 2 : Eu 3 + Phosphor

In this paper, LiNa5(PO4)2:Eu, a new class of phosphor, was prepared with different concentrations of Eu by solution combustion synthesis. This series of prepared materials were investigated by using various experimental techniques. X-ray diffraction confirmed a consistent orthorhombic phase and agreed with the standard JCPDF data. This phosphor exhibits intense d red emission peaks at ~612 nm corresponding to D0–F2 transition upon 392 nm excitation. The color of the emitting light is red, and the calculated chromaticity coordinates are well placed in the red region. The results indicate that the present phosphors could be the potential candidates for the source of red color both in lasers and in light-emitting diodes.
FEELER REFLECTION GAME A CASE STUDY ON A DESIGN GAME FOR PARTICIPATORY DESIGN

The paper explores the potential of design games as a method for developing empathetic understandings between designers and end users. With this aim, we have developed the Feeler Reﬂection Game , a board game designed to serve the contextual inquiry and early participatory design sessions of a design research looking for solutions to help people reﬂect on their well-being and learning. The text includes a description of the game design process, as well as an analysis of the game’s use in a workshop. The case study conﬁrms ﬁndings of earlier studies demonstrating the power of storytelling, personas, and scenarios in design. Furthermore, the case study shows that by playing the design game, the participants were able to identify themselves with the concept design and with the main situations of use. We conclude that the game acted as a boundary object that allowed participants and designers to engage in an empathic and productive dialogue.
Using the Spatially Adaptive Combination Technique for Efficient Quantification of Uncertainty in Hydrological Models

Constructing polynomial chaos expansions in the context of uncertainty quantification requires the computation of inner products that are typically high dimensional integrals involving an expensive to evaluate model and a set of orthogonal polynomials. This thesis explores the approach of first interpolating the model and then either performing pseudospectral projection (PSP) on this surrogate or, by exploiting the simpler structure of the interpolant, deriving analytical formulas for the inner products. To keep the number of model evaluations low, several variants of the sparse grid combination technique are proposed for interpolation, in particular the single dimension spatially adaptive refinement strategy. Comparisons for several test functions and the hydrological model HBV, with the number of model evaluations as reference, show that this approach often produces better results than direct PSP.
EXACTLY-CONSTRAINED KB MIRRORS FOR SIRIUS/LNLS BEAMLINES: DESIGN AND COMMISSIONING OF THE TARUMÃ STATION NANOFOCUSING OPTICS AT CARNAÚBA BEAMLINE

Next-generation nanoprobes, empowered by diffraction-limited storage rings, as Sirius at the Brazilian Synchrotron Light Source (LNLS), present high-performance requirements aiming at high spatial resolution and throughput. For the focusing optics, this means assuring a small and non-astigmatic probe, high flux density, and remarkably high position stability, while simultaneously preserving beam wavefront. At stations further dedicated to spectromicros-copy and in-situ experiments, these requirements add up to having achromatic design and suitable working distance, respectively. In this way, Kirkpatrick-Baez (KB) mirrors have been chosen as an appropriate solution for many of Sirius focusing optics. Yet, the consequent requirements on mirror angular stability in less than 10 nrad RMS, surface quality in single-digit nanometers, and alignment toler-ances in the range of hundreds of nanoradians, are particu-larly challenging regarding clamping, vibration, and thermal expansion budgets, even exceeding optical metrology limits. This work discusses the specifications, design concept, and assembly aspects of the new KB systems for Sirius, taking the TARUMÃ station from CARNAÚBA beamline as a case study with its early commissioning results.
Diagonalization as a Definition

All theorems setting expressive bounds to the first-order predicate calculus involve some sort of diagonalization, a form of self-reference argumentation dating back to Cantor which leads to assert the non-denumerability of the set of all the subsets of the set of natural numbers. Gödels incompleteness, Türings undecidability and the same Russells antinomy share an intimate connection with the Cantorian argumentation and draw inspiration from it. Wherever diagonalization appears, within Cantor, Gödel or Türing, it is always possible to show that it is a form of partial reasoning neglecting the definition of the complement of the set, or predicate, to which it is applied. This article briefly summarizes author’s investigations all around these pertaining, highlights their connections and shows how, given a set or a predicate upon which diagonalization is applied, the definition of its complement immediately leads to the invalidity of the same whole diagonalization argument. It offers also an analysis and explanation on the basis of the criteria of the Theory of Definition, in consideration that any way to postulate or suppose the existence of a function or a set is from the logical point of view always some sort of definition. It outlines new perspectives arising accordingly within the deductive context of the classic laws of identity and extensionality. Effects of different theorems, derived from several fields of research, both in chronological and theoretical meaning, pursue and link each other in the weave of interrelations among Logic, Mathematics, Computer Science and Artificial Intelligence. Here we recall briefly only one of the basic interlacements, to introduce this short summary about the main results of the author’s investigations from the early nineties to date. The set of well formed formulas of a first order theory is decidable when there is an effective procedure which, for any formula of the set, tells us in a finite number of steps whether the formula is true or not. A theory is complete when the set of its theorems coincides with the set of its true formulas. For some of these theories there are both the proofs of completeness and decidability, even if first order predicate calculus is undecidable, albeit complete. To explain this, one usually observes that the expressive power of first-order predicate calculus runs across restrictions coming from few fundamental theorems. First order calculus can be considered both syntactically and semantically. By the expressive power of first order calculus one usually means the ability to describe theories both on the syntactic and demonstrative plane and on the semantic and model plane. Gödel completeness theorem, according to which “every theorem of first order predicate calculus is logically valid ” (Gödel
Towards resilient analog in-memory deep learning via data layout re-organization

Processing in-memory paves the way for neural network inference engines. An arising challenge is to develop the software/hardware interface to automatically compile deep learning models onto in-memory computing platforms. In this paper, we observe that the data layout organization of a deep neural network (DNN) model directly impacts the model's classification accuracy. This stems from that the resistive parasitics within a crossbar introduces a dependency between the matrix data and the precision of the analog computation. To minimize the impact of the parasitics, we first perform a case study to understand the underlying matrix properties that result in computation with low and high precision, respectively. Next, we propose the XORG framework that performs data layout organization for DNNs deployed on in-memory computing platforms. The data layout organization improves precision by optimizing the weight matrix to crossbar assignments at compile time. The experimental results show that the XORG framework improves precision with up to 3.2X and 31% on the average. When accelerating DNNs using XORG, the write bit-accuracy requirements are relaxed with 1-bit and the robustness to random telegraph noise (RTN) is improved.
Build Your Own Training Data – Synthetic Data for Object Detection in Aerial Images

: Machine learning has become one of the most widely used techniques in artificial intelligence, especially for image processing. One of the biggest challenges in developing an accurate image processing model is to collect large amounts of data that are sufficiently close to the real-world scenario. Ideally, real-world data is therefore used for model training. Unfortunately, real-world data is often insufficiently available and expensive to generate. Therefore, models are trained using synthetic data. However, there is no standardized method of how training data is generated and which properties determine the data quality. In this paper, we present first steps towards the generation of large amounts of data for human detection based on aerial images. To create labeled aerial images, we are using Unreal Engine and AirSim. We report on first impressions of the generated labeled aerial images and identify future challenges – current simulation tools can be used to create realistic and diverse images including labeling, but native support would be beneficial to ease their usage.
Making Data Valuable for Smart City Service Systems - A Citizen Journey Map for Data-driven Service Design

Due to the digital transformation of smart cities (SCs), improved access to digital technologies can enable gathering and utilization of data which can serve as key resources for services to improve citizens’ quality of life. SCs face challenges making data valuable for the design of such data-driven services. Service literature lacks in providing methods to facilitate the design of these services while addressing the requirements of SCs as smart service systems. This paper presents the Data-driven Citizen Journey Map (DCJM), a method which supports designing data-driven services in collaborative Design Thinking (DT) workshops. Following design science research (DSR), we developed and evaluated our method through five iterations of workshops, interviews, and questionnaires with SC experts and students. Our evaluations indicate that the DCJM, including all promoted constructs, is useful to support data-driven service design in SCs and that it can be combined with existing methods in comprehensive service development processes.
Platelet Toll-Like-Receptor-2 and -4 Mediate Different Immune-Related Responses to Bacterial Ligands

Background Like immune cells, platelets express toll-like receptors (TLRs) on their surface membrane. TLR2 and TLR4 are able to recognize bacterial antigens and have the potential to influence hemostatic functions and classical intracellular signaling pathways. This study investigated the role of TLR2 and TLR4 for immune-related functions in human platelets. Materials and Methods Washed platelets and neutrophils were prepared from fresh human peripheral blood. Basal-, Pam3CSK4- (as TLR2 agonist) and Lipopolysaccharides (LPS; as TLR4 agonist) -induced CD62P expression, fibrinogen binding and TLR2 or TLR4 expression, intracellular reactive oxygen species (ROS) production in H 2 DCFDA-loaded platelets and uptake of fluorescence-labeled TLR ligands, and fluorophore-conjugated fibrinogen were evaluated by flow cytometry. Analysis of platelet–neutrophil complexes was performed after coincubation of washed platelets and neutrophils in the presence and absence of TLR2 or TLR4 agonists on poly-L-lysine coated surfaces, followed by immunostaining and immunofluorescence imaging. Results Pam3CSK4 rapidly and transiently increased TLR2 and TLR4 expression. Over the course of 30 minutes after activation with Pam3CSK4 and LPS, the expression of both receptors decreased. Pam3CSK4-stimulated intracellular ROS production and the uptake of TLR ligands or fibrinogen much stronger than LPS. Besides, TLR4 activation led to a significant increase of platelet–neutrophil contacts. Conclusion Stimulation leads to rapid mobilization of TLR2 or TLR4 to the platelet surface, presumably followed by receptor internalization along with bound TLR ligands. After activation, platelet TLR2 and TLR4 mediate different immune-related reactions. In particular, TLR2 induces intracellular responses in platelets, whereas TLR4 initiates interactions with other immune cells such as neutrophils.
Comparative Myocardial Protection Effects of Buckberg and del Nido in Mitral Valve Surgery: A Prospective Randomized Trial

Background: Myocardial protection during cardiopulmonary bypass requires essential techniques to preserve myocardial function and protect the myocardium from cellular damage. Objectives : This study aimed to investigate the efficacy of del Nido cardioplegia in mitral valve surgery compared to Buckberg solution. Methods: All patients who underwent mitral valve surgery from April 2018 to December 2018 were recruited in the present trial. The patients were assigned randomly into del Nido and Buckberg groups. Trans-thoracic and trans-esophageal echocardiography were performed before and after the procedure to evaluate left ventricular ejection fraction, as the primary outcome. Results: A total of 152 patients (77 in the del Nido group and 75 in the Buckberg group) were included in the final analysis. The mean age of the participants was 51.3 ± 13.4 years, and 55.3% of the patients were female. The two groups were comparable in terms of all baseline characteristics. The results also showed no significant difference between the two groups regarding pre-operative ejection fractions (P = 0.063). However, ventilation time and the mean length of ICU stay were higher in the Buckberg group (0.018 and 0.001, respectively). Moreover, the results indicated a more prominent reduction in left ventricular ejection fraction measured via trans-thoracic and trans-esophageal echocardiography in the Buckberg group compared to the del Nido group (13.7% versus 4.7%, P < 0.001 for trans-thoracic echocardiography). Conclusions: Del Nido cardioplegia solution exerted beneficial effects on myocardial protection evaluated by echocardiography compared to Buckberg in adult patients with preserved