Miracle-dz/UniFAR-FTUs huggingface dataset:
Pharmaceutical advertising and the consumption of over the counter (OTC) medicines in users of the SUPERFAR drugstore in Barrios Altos-Cercado de Lima, 2022.

Background: To determine the relationship between pharmaceutical advertising and the consumption of over-the-counter (OTC) medicines in users of the SUPERFAR drugstore in Barrios Altos-Cercado de Lima, 2022. Methods: The methodology used was a quantitative approach, non-experimental, cross-sectional, descriptive-correlational design. The sample consisted of 269 users, who were administered a questionnaire with 20 questions; the technique used was the survey. The results were obtained using SPSS Version 22 and Spearman's correlation statistical test with a significance level of 5%. Results: The correlation for the general hypothesis was determined with a P value of 0.000 and a Spearman's Rho value of r=0.729 indicating a strong and direct correlation between Variable 1 pharmaceutical advertising and Variable 2 consumption of over-the-counter (OTC) drugs. For the pharmaceutical advertising message dimension, a P value of 0.000 was obtained, Spearman's Rho value of r=0.597 indicating a moderate and direct correlation, for the mass media dimension (P value is 0.000), Spearman's Rho value of r=0.525 indicating a moderate and direct correlation, for the pharmaceutical product promotion dimension (P value 0.000) Spearman's Rho value of r=0.637 showing a moderate and direct correlation and for the dimension of excessive consumption of medicines under the influence and responsibility of the pharmaceutical industry (P value 0.000) was obtained. Spearman's Rho value of r=0.670 indicating a moderate and direct correlation. Conclusion: The conclusion is that there is a significant relationship between the variables pharmaceutical advertising and drug consumption.
Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image Quality

The main purpose of this paper is the study of the correlations between Image Aesthetic (IA) and Image Naturalness (IN) and the analysis of the influence of IA and IN on Image Quality (IQ) in different contexts. The first contribution is a study about the potential relationships between IA and IN. For that study, two sub-questions are considered. The first one is to validate the idea that IA and IN are not correlated to each other. The second one is about the influence of IA and IN features on Image Naturalness Assessment (INA) and Image Aesthetic Assessment (IAA), respectively. Secondly, it is obvious that IQ is related to IA and IN, but the exact influence of IA and IN on IQ has not been evaluated. Besides that, the context impact on those influences has not been clarified, so the second contribution is to investigate the influence of IA and IN on IQ in different contexts. The results obtained from rigorous experiments prove that although there are moderate and weak correlations between IA and IN, they are still two different components of IQ. It also appears that viewers’ IQ perception is affected by some contextual factors, and the influence of IA and IN on IQ depends on the considered context.
Evidence of Seismic-Related Liquefaction Processes within the Volcanic Record of the Campi Flegrei Caldera (Italy)

We report the occurrence of several sand liquefaction structures, such as sand dikes, in the stratigraphic record of the Campi Flegrei volcano, located both inside and outside the caldera. Five sites were analyzed within the caldera and two outside. The grain size analysis of the sand fillings indicates that these deposits are very fine-to-coarse sands generally poorly sorted. All of the granulometry curves fall within the field of the liquefiable, loose sediments. Frequently, dikes are characterized by two fillings: a rim showing poorly sorted finer sands and a core with extremely poorly sorted coarser sediments. We suggest that seismic-related liquefaction processes triggered the injection of these sand dikes during unrest episodes in the last 15 kyr. In particular, the sand dikes located outside the caldera, characterized by larger thicknesses and lengths, mark an important extensional episode, probably associated with the caldera formation during the Neapolitan Yellow Tuff eruption at 15 ka. Furthermore, liquefaction structures within the caldera are related to the seismic activity, probably occurring during the Agnano–Monte Spina caldera formation and the volcano-tectonic ground deformation, predating Epoch 3b (4.3 ka) and the Monte Nuovo (1538 CE) eruptions. This study highlights that these seismic-related liquefaction structures are common within the volcanic record of the Campi Flegrei, suggesting that the sand source can be both the widespread marine succession underlying the Epoch 3 deposits in the caldera central sector and the primary ash layers extensively present in the volcanic record.
The Effect of Juggling as Dual-Task Activity on Human Neuroplasticity: A Systematic Review

This systematic review formulated a research question based on the PICO method in accordance with the Guidelines for Systematic Reviews and Meta-Analyses (PRISMA), “What is the effect of juggling as dual-task activity on neuroplasticity in the human brain? ” In total, 1982 studies were analysed, 11 of which met the inclusion criteria and were included in the review. These studies included 400 participants who had no prior juggling experience or were expert jugglers. The research methodology in seven studies was based on a long-term intervention with juggling. Three studies were based on brain imaging during the act of juggling, and one study was based on comparing differences between experienced jugglers and non-jugglers without the intervention. In all of these selected studies, positive structural changes in the human brain were found, including changes mainly in the gray matter (GM) volume in the visual motion complex area (hMT/V5) and the white matter (WM) volume in fractional anisotropy (FA). Based on this evidence, it can be concluded that the bimanual juggling task, as a dual-task activity, may effectively integrate brain areas to improve neuroplasticity. The small number of well-designed studies and the high risk of bias call for further research using a juggling intervention to identify conclusive evidence.
Inductance and Capacitance of the Multi Josephson Junction in Superconductor

The characteristic behavior of the inductance and capacitance of multi junction ac Josephson effect in superconductor has been presented. Few parameters characterizing the behavior of Josephson junctions are needed to evaluate for technological applications. In this paper, the inductance and capacitance of the multi Josephson junction connected in parallel are evaluated, using simple classical argument. The numerical results for inductance and capacitance have also been included, indicating few technological applications.
Genomic Analysis Made It Possible to Identify Gene-Driver Alterations Covering the Time Window between Diagnosis of Neuroblastoma 4S and the Progression to Stage 4

Neuroblastoma (NB) is a tumor of the developing sympathetic nervous system. Despite recent advances in understanding the complexity of NB, the mechanisms that determine its regression or progression are still largely unknown. Stage 4S NB is characterized by a favorable course of disease and often by spontaneous regression, while progression to true stage 4 is a very rare event. Here, we focused on genomic analysis of an NB case that progressed from stage 4S to stage 4 with a very poor outcome. Array-comparative genomic hybridization (a-CGH) on tumor-tissue DNA, and whole-exome sequencing (WES) on exosomes DNA derived from plasma collected at the onset and at the tumor progression, pointed out relevant genetic changes that can explain this clinical worsening. The combination of a-CGH and WES data allowed for the identification iof somatic copy number aberrations and single-nucleotide variants in genes known to be responsible for aggressive NB. KLRB1, MAPK3 and FANCA genes, which were lost at the time of progression, were studied for their possible role in this event by analyzing in silico the impact of their expression on the outcome of 786 NB patients.
UAV Photogrammetry Implementation Based on GNSS CORS UDIP to Enhance Cadastral Surveying and Monitoring Urban Development (Case Study: Ngresep Semarang)

Unmanned Aerial Vehicle is unique to the field of mechanic which has the ability to fly through the air without a human operator on board, and perform complex and viable option for a number of different tasks, monitoring, coastal environment, cadastre, earthwork analysis. Land Registration is a major issue encountered in developing countries such as Indonesia. Registration of land that had been done in the form of terrestrial measurements expected to be addressed in the next few decades. Monitoring of urban development became a critical problem for urban planning. UAV technology is obtained is used as an alternative to accelerate both processes. The method used in this UAV is photogrammetry to obtain ortho map. The aim of this research is to evaluate the use of UAVs photogrammetry based on GNSS CORS UDIP to enhance cadastral survey and monitoring urban development.
Environmental Management System and Pro-Environmental Behavior in Realizing Sustainable Industry Performance: Mediating Role of Green Marketing Management

Growth in the number of tourist destinations encourages the number of tourists and other fields that support it. The hotel industry that is increasing in number in an area will impact the environment, both the natural, social and economic environment. We analyze the influence of Green Marketing Management as a mediator of the Environmental Management System and Pro-Environmental Behavior to achieve Sustainable Industry Performance in the hospitality industry. This study was conducted with 135 respondents with the position of manager or general manager. There are 17 hypotheses built on indicators of 4 main parameters. The analysis uses Smart-PLS to examine the relationship between the dimensions tested. The results of this study are: (1) Environmental Management System and Pro-Environmental Behavior have a significant and positive influence on the Green Marketing Mix; (2) Only the Green Marketing Mix has a significant and positive influence on Economic Sustainability; (3) Only the Green Marketing Mix has a significant and positive influence on Environmental Sustainability; (4) The Environmental Management System and Green Marketing Mix have a significant and positive influence on Social Sustainability, with the strongest influence being given by the Green Marketing Mix (which has the greatest path coefficient); (5) The effect of Pro-Environmental Behavior on Sustainability is entirely dependent on mediation relationships through the Green Marketing Mix.
A Haar Wavelet Decision Feedback Channel Estimation Method in OFDM Systems

: Channel estimation is a key technology in improving the performance of the orthogonal frequency division multiplexing (OFDM) system. The pilot-based channel estimation method decreases the spectral efﬁciency and data transmission rate. Some conventional channel estimation methods cannot suppress the noise effectively, which affects the quality of the ﬁnal received signals. To solve these two problems, a Haar wavelet decision feedback (DF) channel estimation method, also named the Haar wavelet method, is proposed in this paper. The proposed Haar wavelet method can suppress the noise existing at the estimated channel impulse response (CIR) effectively, based on a time-domain threshold which is a standard deviation of noise obtained by wavelet decomposition. At the same time, the proposed Haar wavelet method just requires inserting one block pilot symbol in front of the ﬁrst OFDM symbol, which therefore improves the data transmission rate and spectrum efﬁciency greatly. Simulation results are shown to verify the effectiveness of the proposed Haar wavelet method in multipath channel propagation conditions.
Second Surgery for Recurrent Malignant Pleural Mesothelioma after Multimodality Treatment: A Systematic Review

Malignant pleural mesothelioma (MPM) is an aggressive asbestos-related tumour with poor prognosis. To date, a multimodality treatment, including chemotherapy and surgery, with or without radiotherapy, is the gold standard therapy for selected patients with epithelioid and early-stage MPM. In this setting, the goal of surgery is to achieve the macroscopic complete resection, obtained by either extrapleural pneumonectomy or pleurectomy/decortication. Failure, in local and/or distant sites, is one of the major concerns; in fact, there has been no established treatment for the recurrence of MPM after the multimodal approach, and the role of surgery in this context is still controversial. By using electronic databases, studies that included recurrent MPM patients who underwent a second surgery were identified. The endpoints included were: a pattern of recurrence, post-recurrence survival (PRS), and the type of second surgery. When available, factors predicting better PRS and perioperative mortality and morbidity were collected. This systematic review offers an overview of the results that are currently obtained in patients undergoing a second surgery for relapsed MPM, with the aim to provide a comprehensive view on this subject that explores if a second surgery leads to an improvement in survival.
The Effect of Access to Training and Development Opportunities, on Rates of Work Engagement, Within the U.S. Federal Workforce

This study aims to identify how the access to training and development opportunities influence rates of work engagement in the U.S. federal workforce. Organizations with high rates of work engagement tend to be happier and more efficient than those with lower rates of work engagement. Studies have evidenced that organizational and managerial characteristics can promote work engagement among employees. Through the lens of high-performance work systems and the job demands-resource theory, access to training and development is used as both a high-performance work practice and a job resource to explore its effect on work engagement. Data were drawn from the 2017 Federal Employee Viewpoint Survey, a nationally representative sample of U.S. federal employees. By employing ordinary least squares analyses, this study shows that there is a positive correlation between having access to training and development opportunities and higher rates of work engagement across the federal workforce.
Fuel burn evaluation of a transonic strut-braced-wing regional aircraft through multipoint aerodynamic optimisation

This paper presents a relative fuel burn evaluation of the transonic strut-braced-wing configuration for the regional aircraft class in comparison to an equivalent conventional tube-and-wing aircraft. This is accomplished through multipoint aerodynamic shape optimisation based on the Reynolds-averaged Navier-Stokes equations. Aircraft concepts are first developed through low-order multidisciplinary design optimisation based on the design missions and top-level aircraft requirements of the Embraer E190-E2. High-fidelity aerodynamic shape shape optimisation is then applied to wing–body–tail models of each aircraft, with the objective of minimising the weighted-average cruise drag over a five-point operating envelope that includes the nominal design point, design points at $\pm 10\%$ nominal $C_L$ at Mach 0.78, and two high-speed cruise points at Mach 0.81. Design variables include angle-of-attack, wing (and strut) twist and section shape degrees of freedom, and horizontal tail incidence, while nonlinear constraints include constant lift, zero pitching moment, minimum wing and strut volume, and minimum maximum thickness-to-chord ratios. Results show that the multipoint optimised strut-braced wing maintains similar features to those of the single-point optimum, and compromises on-design performance by only two drag counts to achieve up to 11.6% reductions in drag at the off-design conditions. Introducing low-order estimates for approximating full aircraft performance, results indicate that the multipoint optimised strut-braced-wing regional jet offers a 13.1% improvement in cruise lift-to-drag ratio and a 7.8% reduction in block fuel over a 500nmi nominal mission when compared to the similarly optimised Embraer E190-E2-like conventional tube-and-wing aircraft.
Particle Swarm Optimization-Based Approach for Optic Disc Segmentation

Fundus segmentation is an important step in the diagnosis of ophthalmic diseases, especially glaucoma. A modified particle swarm optimization algorithm for optic disc segmentation is proposed, considering the fact that the current public fundus datasets do not have enough images and are unevenly distributed. The particle swarm optimization algorithm has been proved to be a good tool to deal with various extreme value problems, which requires little data and does not require pre-training. In this paper, the segmentation problem is converted to a set of extreme value problems. The scheme performs data preprocessing based on the features of the fundus map, reduces noise on the picture, and simplifies the search space for particles. The search space is divided into multiple sub-search spaces according to the number of subgroups, and the particles inside the subgroups search for the optimal solution in their respective sub-search spaces. The gradient values are used to calculate the fitness of particles and contours. The entire group is divided into some subgroups. Every particle flies in their exploration for the best solution. During the iteration, particles are not only influenced by local and global optimal solutions but also additionally attracted by particles between adjacent subgroups. By collaboration and information sharing, the particles are capable of obtaining accurate disc segmentation. This method has been tested with the Drishti-GS and RIM-ONE V3 dataset. Compared to several state-of-the-art methods, the proposed method substantially improves the optic disc segmentation results on the tested datasets, which demonstrates the superiority of the proposed work.
Economic policy uncertainty of China and investment opportunities: a tale of ASEAN stock markets

PurposeThe purpose of this paper is to examine the effect of economic policy uncertainty (EPU) of China on investment opportunities in five ASEAN economies.Design/methodology/approachThis paper employs advanced empirical approaches, such as Multivariate DCC-GARCH and Continuous Wavelet Transform (CWT) to test the research objective. The period of analysis involved monthly data from 2003 until 2019.FindingsThis paper provides evidence where the Malaysian stock market to be the least exposed to risks emanating from Chinese EPU, followed by Singapore, the Philippines, Thailand and Indonesia. Results for investment opportunities based on time horizon suggest, for a short-term holding period, investors are better off investing in Singapore and Indonesia, while, for medium-term holding periods, all ASEAN markets appear lucrative except for the Philippines.Practical implicationsFrom a managerial perspective, the outcome or findings of this study are expected to aid the retail and institutional investors in designing better strategies on diversifying a stock portfolio with different holding periods.Originality/valueTheoretically, the findings of this study contribute fresh insights into an emerging strand of literature focusing on the transmission of regional policy. Methodologically as well, this study is a novel venture to the best of authors' knowledge.
Low-Vacuum Pyrolysis of YBCO Films by Using Fluorine-Free Metal Organic Chemical Deposition

The preparation of YBCO superconducting films by using metal organic chemical deposition (MOD) involves low-temperature pyrolysis and high-temperature treatment. The former process generally requires the introduction of water vapor and other gases. The study on pyrolysis in a low vacuum environment and non-carrier gas atmosphere has never been reported. In this work, we explored a low vacuum pyrolysis scheme with simple Argon gas decompression and a carrier-free atmosphere. The effects of heating rate on the microstructure of pyrolysis films were investigated, and the high-temperature treatment temperature (Th) was also optimized. Compared with conventional pyrolysis, the present low-vacuum pyrolysis does not employ the flowing dry or wet gases, facilitating the internal gas release during film decomposition. More importantly, the efficiency was greatly improved with reduced pyrolysis time. The obtained film surface is free of CuO particle, which leads to a lower roughness. We also investigated the effect of Th on the final YBCO film texture and superconductivity. As Th increased from 810 °C to 815 °C, the BaCuO2 phase decreased with enhanced c-axis orientation being evident by XRD and Raman spectra. As a result, the critical current density (Jc) increased from 0.38 MA/cm2 to 1.2 MA/cm2 (77 K, self-field).
Gaia Data Release 3. Hot-star radial velocities

The second Gaia data release, DR2, contained radial velocities of stars with effective temperatures up to Teff = 6900 K. The third data release, Gaia DR3, extends this up to Teff = 14,500 K. We derive the radial velocities for hot stars (i.e. in the Teff = 6900 - 14,500 K range) from data obtained with the Radial Velocity Spectrometer (RVS) on board Gaia. The radial velocities were determined by the standard technique of measuring the Doppler shift of a template spectrum that was compared to the observed spectrum. The RVS wavelength range is very limited. The proximity to and systematic blueward offset of the calcium infrared triplet to the hydrogen Paschen lines in hot stars can result in a systematic offset in radial velocity. For the hot stars, we developed a specific code to improve the selection of the template spectrum, thereby avoiding this systematic offset. With the improved code, and with the correction we propose to the DR3 archive radial velocities, we obtain values that agree with reference values to within 3 km/s (in median). Because of the required S/N for applying the improved code, the hot star radial velocities in DR3 are mostly limited to stars with a magnitude in the RVS wavelength band<= 12 mag.
NoD: A Neural Network-Over-Decoder for Edge Intelligence

The ubiquitous applications of the Internet of Things (IoT) devices and the increasing computational capabilities of neural networks (NNs) have led to a new era of edge computing and a paradigm known as edge intelligence (EI). With EI, the goal is to maximize the utilization of resources available within an edge device, offloading only the most compute-intensive operations to the cloud. In this article, we propose to leverage the close similarity between the internal architecture of a typical network decoder and an NN for deep learning on decoders. The proposed NN-over-decoder is developed in Verilog and synthesized on field-programmable gate array (FPGA). Based on experimental results, the system exhibits power consumption of the same order of magnitude as a baseline decoder and negligible memory overhead while increasing local hardware utilization, alleviating the high communication load in typical communication devices, and offering scalable multiply–accumulate (MAC)/cycle performance compared with the state of the art.