Miracle-dz/UniFAR-FTUs huggingface dataset:
Orbital angular momentum wave generation/detection based on planar multi‐slot‐spiral circularly polarized antenna

Orbital angular momentum (OAM) as vortex wave has potential application for dense communication. A multi‐slot antenna is proposed based on Archimedean spirals to generate/detect the OAM waves. The antenna equips three radiation slots in a disk‐manner to realize three different OAM modes simultaneously. A serial‐fed microstrip array is designed for circularly polarized (CP) radiation. The lengths of the slots and microstrip lines are chosen to radiate at 3.5 GHz with 20% fractional bandwidth. So, it can identify the receiving modes of vortex wave with this mechanism. A prominent spiral phase plane is observed for the generated OAM wave. In addition, the far‐field pattern presents a doughnut‐shape beam. The whole antenna is fabricated on a 13 cm printed circuit disk board. Both the experimental and simulation results show that the proposed antenna has valuable features to produce different vortex modes.
A Beginner's Guide to Conducting Reproducible Research

Replication is a fundamental tenet of science, but there is increasing fear among scientists that too few scientific studies can be replicated. This has been termed the “replication crisis” (Ioannidis 2005, Schooler 2014). Scientific papers often include inadequate detail to enable replication (Haddaway and Verhoeven 2015, Archmiller et al. 2020), many attempted replications of well-known scientific studies have failed in a wide variety of disciplines (Moonesinghe et al. 2007, Hewitt 2012, Bohannon 2015, Open Science Collaboration 2015), and rates of paper retractions are increasing (Cokol et al. 2008, Steen et al. 2013). Because of this, researchers are working to develop new ways for researchers, research institutions, research funders, and journals to overcome this problem (Peng 2011, Fiedler et al. 2012, Sandve et al. 2013, Stodden et al. 2013).
Aplicação de jogos educativos para avaliação do autocuidado em doentes cardíacos: protocolo de scoping review

Context: Knowledge of the disease influences the self-care behaviors of cardiac patients, and the application of educational games in health is a proposal for co-participation. Objective: To map educational games for assessing self-care behaviors in cardiac patients. Review method: Scoping review protocol according to the Joanna Briggs Institute method based upon the PCC (Participants, Concept and Context) framework: Participants will include patients with different cardiovascular diseases; the Concept will be educational games for assessing self-care in cardiac patients; and the Context will be studies conducted in outpatient settings. Indexed databases such as MEDLINE, CINAHL, LILACS, ERIC, Cochrane Library, JBI Connect, and gray literature will be consulted. Independent reviewers will extract and synthesize the data. Presentation and interpretation of the results: A narrative summary, tables, and charts will be used to present and interpret the results. Conclusion: This study is expected to consolidate the results about educational games for assessing self-care behaviors in cardiac patients.
An efficient supervised framework for music mood recognition using autoencoder-based optimised support vector regression model

Music is the art of ‘language of emotions’. Recently, music mood recognition is an emerging task. An efficient supervised framework for music mood recognition using autoencoder ‐ based optimised support vector regression (SVR) model is developed for the music emotion recognition. Our main intention is to increase the accuracy of emotion classification of music by considering text ‐ dependent and non ‐ text ‐ dependent features. For the high level feature representation, stacked autoencoder is used with two hidden layers. Modified K ‐ Medoid ‐ based brain storm optimisation ‐ based support vector regression (SVR_KMBSO) model is utilised for the emotion classification. Using the K ‐ Medoid ‐ based brain storm algorithm, the optimal parameters of the SVR are selected. The proposed framework utilises ISMIR2012 dataset and NJU_V1 dataset for English and for Hindi; online songs are also gathered and used for the music mood recognition. All the three datasets include songs based on four emotions like happy, angry, relax and sad. The experimental results are evaluated and compared with the existing classifiers including SVR, deep belief network (DBN) and Recurrent neural network (RNN). The proposed method SVR_KMBSO achieved high accuracy
Impact of Blood Urea Nitrogen and Creatinine Levels on Maternal and Fetal Outcomes of Pregnancy: a Retrospective Cohort Study

Guifang Deng (  misy y@163.com ) Union Shenzhen Hosipital of Huazhong University of Science and Technology https://orcid.org/00000002-9520-2793 Lanlan Wu Union Shenzhen Hospital of Huazhong University of Science and Technology Yao Liu Union ShenzhenHospital of Huazhong University of Science and Technology Zengyou Liu Union Shenzhen Hospital of Huazhong University of Science Technology Hengying Chen Shantou University Medical College Siwen Shen Union Shenzhen Hospital of Huazhong University of Science and Technology Yuanhuan Wei Union Shenzhen Hospital of Huazhong University of Science and Technology Ruifang Sun Union Shenzhen Hospital of Huazhong University of Science and Technology
A bright spot for a small league: social media performance in a football league without a COVID-19 lockdown

ABSTRACT Research question Pull effects in attention from smaller leagues towards bigger leagues have been under discussion. Nevertheless, causal empirical evidence on such attention interception is non-existent, and the suspension of sport leagues during the COVID-19 lockdown provides a perfect context for examination. The purpose of this study is to test whether the fan interest towards smaller leagues suffers from the presence of bigger leagues. Research methods While COVID-19 suspended top professional football worldwide, the Belarus league remained active. We used daily follower statistics (Facebook, Twitter, Instagram, Youtube) three month before, during, and three months after the lockdown. Since we have these statistics for Belarus clubs as well as for 847 lockdown-affected football clubs (48 first division leagues, N max = 142,139), we use a difference-in-differences approach to estimate the effect of the shock caused by the lockdown. Results and findings Results indicate an increase in social media attention (throughout all social media channels) for Belarus clubs after the worldwide lockdown. A decrease was then observed after the revitalization of worldwide professional football leagues. The growth rates slowed down to an almost before COVID-19 level after the restart of other leagues. Implications First, keeping a league open during a pandemic boosts consumer/fan attention, which may lead league organizers and club managers to maintain a league open longer than advised by national health authorities. Second, since bigger leagues seem to pull of attention from smaller leagues, they could compensate the smaller leagues (financially or non-financial) for the loss of fan interest.
Implementation of an LDPC decoder for IEEE 802.11n using VivadoTM High-Level Synthesis

The increasing complexity of hardware designs calls for design methodolgies that use more abstract design entries and increased automation of the implementation process. Highlevel synthesis (HLS) has been a research topic for the past 20 years, and current tools, such as Xilinx VivadoTM HLS promise to bring HLS to widespread use. In this paper we use Xilinx VivadoTMHLS to design an LDPC decoder for 802.11n. Forward error correction decoders are typically implemented in hardware due to the high processing requirements and therefore an LDPC decoder is an appropriate example to demonstrate the power of high-level synthesis. Keywords—High-level synthesis, FPGA, LDPC, IEEE 802.11n
Liver Resection Promotes (Regulates) Proinflammatory Cytokines in Patients with Hepatocellular Carcinoma

Background Several animal studies have shown the roles of cytokines in regulating liver regeneration following liver resection (LR), which is a type of surgery designed to remove cancerous tumors from the liver. This study investigated how the expressions and serum levels of some pro- and anti-inflammatory cytokines in patients with hepatocellular carcinoma (HCC) were changed during LR. Methods Liver tissues from 15 patients with HCC were collected and the levels of interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), IL-1α, IL-1 β, IL-10, and transforming growth factor-beta1 (TGF-β1) were assessed using real-time PCR assay at different times before and after LR. The serum values of TNF-α and IL-6 were also measured by ELISA. Results After 60 and 90 minutes of LR, IL-6 gene expression was significantly increased (P < 0.001 − 0.05). The same trend was also observed in TNF-α expression after 90 minutes of LR (P < 0.01). No significant changes were observed in the expressions of IL-1α, IL-1β, IL-10, and TGF-β1 before and after LR. In addition, LR had significant effects on TNF-α and IL-6 serum levels (P < 0.05 − 0.0001). Conclusion Our data provided further evidence to reveal that IL-6 and TNF-α cytokines are critical to improve liver regeneration.
Five Decades of Observed Daily Precipitation Reveal Longer and More Variable Drought Events Across Much of the Western United States

Multiple lines of evidence suggest climate change will result in increased precipitation variability and consequently more frequent extreme events. These hydroclimatic changes will likely have significant socioecological impacts, especially across water‐limited regions. Here we present an analysis of daily meteorological observations from 1976 to 2019 at 337 long‐term weather stations distributed across the western United States (US). In addition to widespread warming (0.2 °C ± 0.01°C/decade, daily maximum temperature), we observed trends of reduced annual precipitation (−2.3 ± 1.5 mm/decade) across most of the region, with increasing interannual variability of precipitation. Critically, daily observations showed that extreme‐duration drought became more common, with increases in both the mean and longest dry interval between precipitation events (0.6 ± 0.2, 2.4 ± 0.3 days/decade) and greater interannual variability in these dry intervals. These findings indicate that, against a backdrop of warming and drying, large regions of the western US are experiencing intensification of precipitation variability, with likely detrimental consequences for essential ecosystem services.
Strengthening Motivation in the Mathematical Engineering Teaching Processes - A Proposal from Gamification and Game-Based Learning

Gamification and game-based learning (GBL) has been widely implemented in educational processes, mainly in elementary education; it has been applied less frequently in university education. The objective was to test the effect of game-mediated teaching strategies on mathematics teaching in first-year engineering students. A quantitative study was done within the framework of a design-based research. Eighty-one (81) students participated in the research, all from the Dif-ferential Calculus course. Twelve (12) didactic units were designed. The instru-ment used was the Synthesized Instructional Materials Motivation Survey (SIMMS), adapted to record the categories of Attention, Relevance, Confidence and Satisfaction (Keller's motivational model). A significant contribution of the pedagogical strategy and the different categories of motivation was verified, whereas the significance between collaboration and motivation was also evident (intervention 2). Finally, the strategy can provide preliminary evidences in reduc-ing dropout. In conclusion, game-based learning can be used to strengthen educa-tional processes in engineering.
Behavioral nudges increase COVID-19 vaccinations: Two randomized controlled trials

Fighting the COVID-19 pandemic requires quick and effective strategies to maximize vaccine uptake. We present two sequential randomized controlled trials (RCTs) that tackle this challenge with behavioral science insights. We deliver text-based nudges to UCLA Health patients one day (first RCT; N=113,229) and eight days (second RCT; N=90,662) after they receive notifications of vaccine eligibility. In the first RCT, text messages designed to make vaccination salient and easy to schedule boost appointment and vaccination rates by 86% and 26%, respectively. Nudges that make patients feel endowed with the vaccine heighten these effects, but addressing vaccine hesitancy via a video-based information intervention does not yield benefits beyond simple text. These results hold across ethnicity and age groups. By contrast, online experiments (N=2,003) soliciting hypothetical responses to the same messages reveal the opposite patterns, underscoring the importance of pilot-testing behavioral nudges in the real world before scaling them up. In the second RCT, we further find that receiving a second reminder boosts appointment and vaccination rates by 52% and 16%, respectively. Our findings suggest that text-based nudges can substantially increase and accelerate COVID-19 vaccinations at almost zero marginal cost, highlighting the promising role of behavioral science in addressing a critical component of the COVID-19 pandemic response.
Photonic nanojets and their applications

Dielectric microelements with circular symmetry have shown interesting optical properties: photonic nanojets (PNJs) and whispering gallery modes (WGMs). They can confine light inside the cavity, forming WGMs, or focus the light in their proximity, forming PNJs. Both WGMs and PNJs have found numerous applications, including sensing and imaging. In this work, a review of PNJs and their applications in contemporary literature is provided.
The Impact of Coagulation on Endocrine Disrupting Compounds, Pharmaceutically Active Compounds and Natural Organic Matter

Previous research indicates that pharmaceutically active compounds (PhACs) and endocrinedisrupting compounds (EDCs) are poorly removed during conventional drinking water treatment processes including coagulation; however, removal efficiency increases in the presence of natural organic matter (NOM). Therefore, this project investigates the link between various NOM types with EDC/PhAC removal. Bench-scale coagulation tests were conducted on three different source waters spiked with environmentally relevant levels (nominally 1000 ng/L) of EDCs/PhACs. Two different coagulants were used: polyaluminum chloride (PACl) and aluminum sulphate (alum). NOM was characterized using size exclusion liquid chromatographyorganic carbon detection (LC-OCD). Results for Lake Ontario, Otonabee and Grand River water indicate that certain EDCs/PhACs are significantly removed during coagulation while others increase in concentration. Concurrently, particular NOM fractions (biopolymers and humic substances) are also being removed. Solvents used for EDC/PhAC spiking (acetone and acetonitrile) did not affect coagulation, but contributed to low molecular weight neutral and hydrophobic NOM fractions.
2D materials and their heterostructures for photocatalytic water splitting and conversion of CO2 to value chemicals and fuels

The rapidly increasing global energy consumption utilizing conventional polluting fuels has been putting enormous stress on the health of our environment and thereby the long term sustainability of the animal and plant life on our planet. The world clearly needs to move rapidly to the alternative sources of environment-friendly, carbon-neutral, clean and renewable energy. To this end, amongst the promising strategies being pursued, one of the best approaches is to produce hydrogen energy from water by using sunlight, with unlimited available resource of both water and sunlight. Concurrently, there is also an emergent need to control CO2 emissions by reducing them to valuable fuels or chemicals using sunlight. For both these goals, it is essential to have efficient, robust and affordable photocatalysts. The early emphasis on semiconductor photocatalysts along with expensive noble-metals co-catalysts has prevented the speedy advance of this energy technology. Extensive efforts are now being expended on designing high-performance photocatalysts based on emergent functional materials endowed with a fascinating set of physical and chemical properties. Towards this end, two-dimensional (2D) materials and their heterostructures have been attracting significant attention lately as potentially viable candidates owing to their unique, and highly tunable optical and electronics functionalities, which are technically adequate for the efficient hydrogen production and conversion of CO2 to fuels. In this topical review, we address the recent progress made in the domain. We believe that by virtue of the uniquely distinct characteristics of their electronic density of states, surface states, high surface area, and diverse possibilities of innovative surface chemical engineering, the 2D materials hold a great promise for facilitating economically viable renewable/clean energy harvesting solution(s) on commercial-scale, thereby accomplishing the urgent task of ensuring the future energy security for the world.
Broadband Metallic Carbon Nanotube Saturable Absorber for Ultrashort Pulse Generation in the 1500–2100 nm Spectral Range

Herein, we report on the possibility of ultrashort laser pulse generation in the broadband spectral range using a saturable absorber based on free-standing metallic carbon nanotube thin film. Erbium, thulium, and holmium-doped all-fiber lasers were mode-locked with a single saturable absorber containing a 300 nm thick material layer. Subpicosecond pulses were generated at 1559, 1938, and 2082 nm. Our work validates the broadband operation of metallic carbon nanotube-based saturable absorbers and highlights the suitable performance of nanomatematerial for ultrafast photonic applications.
Kinematics of the exceptionally-short surge cycles of Sít’ Kusá (Turner Glacier), Alaska, from 1983 to 2013

Abstract Glacier surges are periodic episodes of mass redistribution characterized by dramatic increases in ice flow velocity and, sometimes, terminus advance. We use optical satellite imagery to document five previously unexamined surge events of Sít’ Kusá (Turner Glacier) in the St. Elias Mountains of Alaska from 1983 to 2013. Surge events had an average recurrence interval of ~5 years, making it the shortest known regular recurrence interval in the world. Surge events appear to initiate in the winter, with speeds reaching up to ~25 m d−1. The surges propagate down-glacier over ~2 years, resulting in maximum thinning of ~100 m in the reservoir zone and comparable thickening at the terminus. Collectively, the rapid recurrence interval, winter initiation and down-glacier propagation suggest Sít’ Kusá's surges are driven by periodic changes in subglacial hydrology and glacier sliding. Elevation change observations from the northern tributary show a kinematic disconnect above and below an icefall located 23 km from the terminus. We suggest the kinematic disconnect inhibits drawdown from the accumulation zone above the icefall, which leads to a steady flux of ice into the reservoir zone, and contributes to the glacier's exceptionally short recurrence interval.
Monitoring Urban Deprived Areas with Remote Sensing and Machine Learning in Case of Disaster Recovery

Rapid urbanization and increasing population in cities with a large portion of them settled in deprived neighborhoods, mostly defined as slum areas, have escalated inequality and vulnerability to natural disasters. As a result, monitoring such areas is essential to provide information and support decision-makers and urban planners, especially in case of disaster recovery. Here, we developed an approach to monitor the urban deprived areas over a four-year period after super Typhoon Haiyan, which struck Tacloban city, in the Philippines, in 2013, using high-resolution satellite images and machine learning methods. A Support Vector Machine classification method supported by a local binary patterns feature extraction model was initially performed to detect slum areas in the pre-disaster, just after/event, and post-disaster images. Afterward, a dense conditional random fields model was employed to produce the final slum areas maps. The developed method detected slum areas with accuracies over 83%. We produced the damage and recovery maps based on change analysis over the detected slum areas. The results revealed that most of the slum areas were reconstructed 4 years after Typhoon Haiyan, and thus, the city returned to the pre-existing vulnerability level.
Green Sound-Absorbing Composite Materials of Various Structure and Profiling

This article presents thermoplastic sound-absorbing composites manufactured on the basis of renewable raw materials. Both the reinforcing material and the matrix material were biodegradable and used in the form of fibers. In order to mix flax fibers with polylactide fibers, the fleece was fabricated with a mechanical system and then needle-punched. The sound absorption of composites obtained from a multilayer structure of nonwovens pressed at different conditions was investigated. The sound absorption coefficient in the frequency ranging from 500 Hz to 6400 Hz was determined using a Kundt tube. The tests were performed for flat composites with various structures, profiled composites, and composite/pre-pressed nonwoven systems. Profiling the composite plate by convexity/concavity has a positive effect on its sound absorption. It is also important to arrange the plate with the appropriate structure for the incident sound wave. For the composite layer with an added pre-pressed nonwoven layer, a greater increase in sound absorption occurs for the system when a rigid composite layer is located on the side of the incident sound wave. The addition of successive nonwoven layers not only increases the absorption but also extends the maximum absorption range from the highest frequencies towards the lower frequencies.
RANKIN–SELBERG INTEGRALS FOR LOCAL SYMMETRIC SQUARE FACTORS ON GL(2)

Let $\pi$ be an irreducible admissible (complex) representation of $GL(2)$ over a non-archimedean character zero field with odd residual characteristic. In this paper we prove the equality between the local symmetric square $L$-function associated to $\pi$ arising from integral representations and the corresponding Artin $L$-function for its Langlands parameter through the local Langlands correspondence. With this in hand, we show the stability of local symmetric $\gamma$-factors attached to $\pi$ under highly ramified twists.
Recreational and Nature-Based Tourism as a Cultural Ecosystem Service. Assessment and Mapping in a Rural-Urban Gradient of Central Spain

Land management focused from the social-ecological perspective of ecosystem services should consider cultural services in decision-making processes. Nature-based tourism offers a great potential for landscape conservation, local development and the well-being of human populations. However, the subjectivity of recreational ecosystem services has meant a clear impediment to assessing and mapping them. In this study, an integrated numerical spatial method is developed, which quantifies the supply and demand of recreational ecosystem services and allows mapping their spatial correspondence along a rural-urban gradient. The procedure also allows quantifying the influence of the landscape structure and the presence of protected areas on the degree of coupling between supply of recreational ecosystem services and demand for outdoor recreation and nature-based tourism and reveals that protected areas are hotspots of recreational ecosystem services. The results obtained highlight the usefulness of the methodological procedure developed as a tool for sustainable land planning and management from an integrative social-ecological approach.