Miracle-dz/UniFAR-FTUs huggingface dataset:
Digital Surveillance to Identify California Alternative and Emerging Tobacco Industry Policy Influence and Mobilization on Facebook

Growing popularity of electronic nicotine-delivery systems (ENDS) has coincided with a need to strengthen tobacco-control policy. In response, the ENDS industry has taken actions to mobilize against public health measures, including coordination on social media platforms. To explore this phenomenon, data mining was used to collect public posts on two Facebook public group pages: the California Consumer Advocates for Smoke Free Alternatives Association (CCASAA) and the community page of the Northern California Chapter of SFATA (NC-SFATA). Posts were manually annotated to characterize themes associated with industry political interference and user interaction. We collected 288 posts from the NC-SFATA and 411 posts from CCASAA. A total of 522 (74.7%) posts were categorized as a form of political interference, with 339 posts (64.9%) from CCASAA and 183 posts (35.1%) from NC-SFATA. We identified three different categories of policy interference-related posts: (1) providing updates on ENDS-related policy at the federal, state, and local levels; (2) sharing opinions about ENDS-related policies; (3) posts related to scientific information related to vaping; and (4) calls to action to mobilize against tobacco/ENDS policies. Our findings indicate that pro-tobacco social media communities on Facebook, driven by strategic activities of trade associations and their members, may act as focal points for anti-policy information dissemination, grass-roots mobilization, and industry coordination that needs further research.
Spectrum Sensing for Cognitive VHF Land Mobile Radio Communication Networks Using Energy Sensing Techniques

The 2015 migration from Very High Frequency (VHF) Analog to Digital Television (TV) created plenty of white spaces in the entire VHF TV Band (174–230 MHz). These white spaces can be used by other wireless applications and internet services whose radio spectrum is already pushed to maximum utilization and is therefore scarce for emerging wireless applications such as IP Television, high-speed wireless internet, cellular telephony, multimedia services, Zigbee, WiMax-Advanced. In this study, we implemented a VHF Land Mobile Radio System (LMRS) that can utilise the Television White Spaces (TVWS) in the upper VHF TV band for mission critical voice transmissions. We detected VHF Land Mobile Radio (LMR) transmissions in the TVWS using energy sensing techniques, with the real-time energy detector developed on the Software-Defined Radio (SDR) testbed composed of RTL-SDR device, VHF Radio and GNU Radio. We used a simulated energy detector using GNU Radio to set the evaluation benchmark. In both, the simulations and the real-time platform, a Narrow Band Frequency Modulation (NBFM) was generated and transmitted through the TVWS. The performance of the implemented real-time energy detector compared to the simulated one was lower, due to the noise distribution being not perfectly Additive White Gaussian Noise (AWGN), and thermal noise from the RTL-SDR. In addition, the transmission in TVWS was high in signal energy compared to transmission in traditional LMR frequency (approximately 10% improvement), and thus improved penetration in remote areas and thick forests.
How will the introduction of the sugar tax affect the consumption habits of households in Poland?

Motivation: Numerous scientific studies indicate a significant relationship between the number of sugar-sweetened beverages consumed and the problem of overweight and obesity. This, in turn, is a significant risk factor for many diseases, especially type 2 diabetes. Poland is a country where the consumption of sugar, especially in a processed form that is dangerous to health, is constantly growing. As a result, now two-thirds of the society are struggling with the problem of overweight, while obesity can be said in every fourth case, the forecasts are even more pessimistic. Recently, a fiscal policy with the use of the “sugar tax” is a popular tool to combat the growing consumption of sweetened beverages. The Polish government is also following this path, and the tax is scheduled to be in force at the beginning of 2021. Aim: The aim of the study is to analyse the impact of the sugar tax on prices and, consequently, on the future consumption of sweetened beverages and other related goods. Results: Based on the data of the Central Statistical Office concerning household expenditure in 2018, the complete demand model was estimated, considering demographic variables. As a result, the price and profit elasticities of demand for sweetened drinks and related goods were estimated. The results obtained in the study indicate that the introduction of the sugar tax will reduce the consumption of SSB, and the size of the changes depends on the analysed demographic factors. The decrease in consumption of sweetened beverages will increase the interest in beverages with a lower sugar content.
Investigation on Dynamic Characteristics of AlGaN/GaN Lateral Schottky Barrier Diode

This work investigates the transient characteristics of an AlGaN/GaN lateral Schottky barrier diode (SBD) and its recovery process with a dedicated dynamic measurement system. Both static and dynamic characteristics were measured, analyzed with the consideration of acceptor/donor traps in the C-doped buffer and GaN channel, and verified by Silvaco TCAD (technology computer aided design) simulations. The energy band, electric field, and electron concentration were monitored in the transient simulation to study the origin of the current collapse in the SBD. Using the verified model, the impact of carbon doping concentration in the buffer and the thickness of the unintentionally doped (UID) GaN channel in the transient behavior was estimated. Several observations were revealed. Firstly, the traps in the GaN channel and buffer layer have a significant impact on the current collapse of the device. A severe deterioration of current collapse can be observed in the SBDs with increasing density of acceptor-like traps. Secondly, the current collapse increases with the thinner UID GaN channel layer. This well-performed simulation model shows promise to be utilized for the dynamic performance optimization of GaN lateral devices.
BOTÁNICA

Grupos de investigación "Fitosociología, Cartografía y restauración de la Vegetación". Director: Francisco Valle Tendero Biología, Biosistemática Y Taxonomía de la Flora Vascular (Rnm 0110 Del Plan Andaluz de Investigación) Director: Consuelo Díaz De La Guardia Ecologia De Zonas Aridas" (Rnm 0174). Director: Dr. J. Cabello (UAL) RNM-130 Botánica Sistemática y Aplicada. Director: Carmen Galán Soldevilla (UCO)
“Hitting two targets with one shot” in the context of Immigrant entrepreneurship: Case studies in Germany related with entrepreneurial migrant activities for the development of the home and host countries

This paper aims to contribute to the debate and knowledge of immigrant entrepreneurship in Germany by analyzing a central research question (derived mainly from Dana (2007), Tung (2008), de Haas (2010), Riddle et al. (2010; 2011) Jones et al. (2011), Elo (2014) and Sorensen (2014): How do migrant entrepreneurs in Germany contribute for the economic development of their home and host countries, particularly through aspects related with promotion of international trade and market knowledge? The relation between migration and the development link in their homelands have been examined in the social sciences (Sorensen, 2014; Riddle et al., 2010) as well as in the field of economics where several authors have analyzed the relations between diasporas and international trade (Gould, 1994; Mundra, 2005; Cohen, 1997). Germany has long been confronted with growing diversity and interculturalism in its population development. The present debate about the economies of migrants in Germany and Europe is intensifying, particularly due to the increasing interdependence of international markets and the growing networking of economic and trade relations (Dornberger et al., 2009). In order to answer the central research question of this paper, there have been selected two case studies based on qualitative methods. The results shows that the positive use of the entrepreneur’s potentials and networks for the international linkage creation between different countries.
Motivación escolar, inteligencia emocional y rendimiento académico en estudiantes de Educación Secundaria Obligatoria

El objetivo del presente trabajo fue analizar la relación entre la motivación escolar, la inteligencia emocional y el rendimiento académico en una muestra de 3512 estudiantes adolescentes pertenecientes a 18 centros educativos. Los instrumentos utilizados fueron la Escala de Motivación Educativa (EME-S), la Traid Meta-Mood Scale-24 (TMMS-24) y el rendimiento académico se cuantificó a través de la nota media de los alumnos. Los resultadosmostraron relaciones significativas entre motivaciones escolares intrínsecas e inteligencia emocional, en mayor medida que con las extrínsecas y amotivación. Asimismo, la regulación emocional, la motivación intrínseca hacia el conocimiento y la amotivación predijeron el rendimiento escolar de los alumnos. Se desprende la influencia de las tres variables en el desarrollo personal y académico de los estudiantes.
Accounting narratives and disclosures in reporting the case of Letters from the Management Board Presidents of selected companies in the light of narrative economics

Motivation: At the initial stage of accounting evolution it was considered an economic science, closely related to the activities performed by economic entities in economic conditions. Therefore, narratives in economics should be considered a determinant for the development of narratives in accounting. The indication of narrative economics as a reference point for narration in accounting supplements the research gap, since nowadays narratives in accounting are most often interpreted as the narratives prepared by companies and addressed to the potential stakeholders in the context of achieving specific goals by the management board and company executives. Aim: The purpose of the article is to address the phenomenon of narrative accounting in the light of narrative economics and the evolution of reporting targeting non-financial information. Results: Economic narratives facilitate the understanding of numbers, extend and supplement financial information and allow for the interpretation of economic processes. The narratives coming from economics are processed and disclosed in accounting. They are an indispensable attribute of modern accounting as well as its narration. Reporting is an important instrument allowing narration in accounting (primarily non-financial reporting). The research confirms: positive messages included in the analysed Letters from Management Board Presidents; references in the text to economic factors and the characteristic financial and social activities in specific companies; indication of the key words in the text, among which the dominant ones are those with a positive overtone and also the ones relating to non-material resources; creating narrative reporting in order to develop and strengthen relationships with potential stakeholders.
A Proposed Partnership Scheme of Bangkok Mass Transit System (BTS) and Mice Corporations: Passenger Satisfaction and Tourism Transport Policy Approach

This research examined and proposed a partnership scheme between Bangkok Mass Transit System (BTS) and MICE corporations (MICE: meetings, incentives, conventions & exhibitions) where one representative from BTS and six respondents from six different MICE corporations volunteered in the study. The research was conducted by two different sequences and undertaken by a mixed methodology. Out of 400 ridership satisfaction questionnaires, 300 were validated to have ridership experiences to MICE venues with BTS. Post-passenger satisfaction study, the results were used to inform BTS and MICE corporations to navigate in-depth interviews. SPSS runs to quantify travel frequencies, demographic profiles, and passenger satisfaction while thematic analysis framed the interview results. The finding underscored the two major significances as they correspond to the objective of the study: (1) The overarching governance proposal of BTS’s short-term partnership scenario with MICE corporations - where an informed policy benchmark from “England Strategic Action Plan for Tourism 2010-2020” robustly examined; (2) the novelty over the deficient study of integrated transport-MICE strategic planning within the Southeast Asian region.
The Dark Side of Compulsory e-education: Are Students Really Happy and Learning during the COVID-19 Pandemic?

ABSTRACT The COVID-19 pandemic has deeply disrupted the education sector across the world. Consequently, all learning activities must be fully conducted online, leaving no choice for the already stressful students. Through the stressor-strain-outcome framework, this study aims to examine the antecedents and consequences of technostress faced by the students under the context of compulsory e-education. A total of 388 empirical data was gathered and analyzed with the Partial Least Squares Structural Equation Modeling. It was found that anxiety, delay in responses, and risk of arbitrary learning are all positively related to the technostress, which in turn associates negatively with learning satisfaction and learning performance. Unlike past studies that researched e-education from a voluntary enrollment perspective and, therefore, stressed the benefits; this study investigates the negative impacts of compulsory e-education on students. To mitigate future pandemics, we propose a set of strategies that could be implemented.
A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT

A large number of smart devices in Internet of Things (IoT) environments communicate via different messaging protocols. Message Queuing Telemetry Transport (MQTT) is a widely used publish–subscribe-based protocol for the communication of sensor or event data. The publish–subscribe strategy makes it more attractive for intruders and thus increases the number of possible attacks over MQTT. In this paper, we proposed a Deep Neural Network (DNN) for intrusion detection in the MQTT-based protocol and also compared its performance with other traditional machine learning (ML) algorithms, such as a Naive Bayes (NB), Random Forest (RF), k-Nearest Neighbour (kNN), Decision Tree (DT), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRUs). The performance is proved using two different publicly available datasets, including (1) MQTT-IoT-IDS2020 and (2) a dataset with three different types of attacks, such as Man in the Middle (MitM), Intrusion in the network, and Denial of Services (DoS). The MQTT-IoT-IDS2020 contains three abstract-level features, including Uni-Flow, Bi-Flow, and Packet-Flow. The results for the first dataset and binary classification show that the DNN-based model achieved 99.92%, 99.75%, and 94.94% accuracies for Uni-flow, Bi-flow, and Packet-flow, respectively. However, in the case of multi-label classification, these accuracies reduced to 97.08%, 98.12%, and 90.79%, respectively. On the other hand, the proposed DNN model attains the highest accuracy of 97.13% against LSTM and GRUs for the second dataset.
Tent versus Mask-On Acute Effects during Repeated-Sprint Training in Normobaric Hypoxia and Normoxia

Repeated sprint in hypoxia (RSH) is used to improve supramaximal cycling capacity, but little is known about the potential differences between different systems for creating normobaric hypoxia, such as a chamber, tent, or mask. This study aimed to compare the environmental (carbon dioxide (CO2) and wet-globe bulb temperature (WGBT)), perceptual (pain, respiratory difficulty, and rate of perceived exertion (RPE)), and external (peak and mean power output) and internal (peak heart rate (HRpeak), muscle oxygen saturation (SmO2), arterial oxygen saturation (SpO2), blood lactate and glucose) workload acute effects of an RSH session when performed inside a tent versus using a mask. Twelve well-trained cyclists (age = 29 ± 9.8 years, VO2max = 70.3 ± 5.9 mL/kg/min) participated in this single-blind, randomized, crossover trial. Participants completed four sessions of three sets of five repetitions × 10 s:20 s (180 s rest between series) of all-out in different conditions: normoxia in a tent (RSNTent) and mask-on (RSNMask), and normobaric hypoxia in a tent (RSHTent) and mask-on (RSHMask). CO2 and WGBT levels increased steadily in all conditions (p < 0.01) and were lower when using a mask (RSNMask and RSHMask) than when inside a tent (RSHTent and RSNTent) (p < 0.01). RSHTent presented lower SpO2 than the other three conditions (p < 0.05), and hypoxic conditions presented lower SpO2 than normoxic ones (p < 0.05). HRpeak, RPE, blood lactate, and blood glucose increased throughout the training, as expected. RSH could lead to acute conditions such as hypoxemia, which may be exacerbated when using a tent to simulate hypoxia compared to a mask-based system.
Adaptability of Improved NEAT in Variable Environments

Qualitative research experiment to gather descriptive data on the NEAT algorithm’s performance in an environment with variability. Individual research performed for my AP Research paper. The experiment conducted using Python and the NEAT-Python library. The research conducted was for the sake of doing research in the field of AI in computer science and is rather outdated.
Few‐Layered WS2 Nanoplates Confined in Co, N‐Doped Hollow Carbon Nanocages: Abundant WS2 Edges for Highly Sensitive Gas Sensors

Edges of 2D transition metal dichalcogenides (TMDs) are well known as highly reactive sites, thus researchers have attempted to maximize the edge site density of 2D TMDs. In this work, metal‐organic framework (MOF) templates are introduced to synthesize few‐layered WS2 nanoplates (a lateral dimension of ≈10 nm) confined in Co, N‐doped hollow carbon nanocages (WS2_Co‐N‐HCNCs), for highly sensitive NO2 gas sensors. WS2 precursors are assembled in the surface cavity of Co‐based zeolite imidazole framework (ZIF‐67) and subsequent pyrolysis produced WS2_Co‐N‐HCNCs. During the pyrolysis, the carbonized ZIF‐67 are doped by Co and N elements, and the growth of WS2 is effectively suppressed, creating few‐layered WS2 nanoplates functionalized Co‐N‐HCNCs. The WS2_Co‐N‐HCNCs exhibit outstanding NO2 sensing characteristics at room temperature, in terms of response (48.2% to 5 ppm), selectivity, response and recovery speed, and detection limit (100 ppb). These results are attributed to the enhanced adsorption and desorption kinetics of NO2 on abundant WS2 edges, confined in the gas permeable HCNCs. This work opens up an efficient way for the facile synthesis of edge abundant few‐layered TMDs combined with porous carbon matrix via MOF templating route, for applications relying on highly active sites.
Sex‐dependent effects of parental age on offspring fitness in a cooperatively breeding bird

Parental age can have considerable effects on offspring phenotypes and health. However, intergenerational effects may also have longer term effects on offspring fitness. Few studies have investigated parental age effects on offspring fitness in natural populations while also testing for sex‐ and environment‐specific effects. Further, longitudinal parental age effects may be masked by population‐level processes such as the selective disappearance of poor‐quality individuals. Here, we used multigenerational data collected on individually marked Seychelles warblers (Acrocephalus sechellensis) to investigate the impact of maternal and paternal age on offspring life span and lifetime reproductive success. We found negative effects of maternal age on female offspring life span and lifetime reproductive success, which were driven by within‐mother effects. There was no difference in annual reproductive output of females born to older versus younger mothers, suggesting that the differences in offspring lifetime reproductive success were driven by effects on offspring life span. In contrast, there was no association between paternal age and female offspring life span or either maternal or paternal age and male offspring life span. Lifetime reproductive success, but not annual reproductive success, of male offspring increased with maternal age, but this was driven by between‐mother effects. No paternal age effects were found on female offspring lifetime reproductive success but there was a positive between‐father effect on male offspring lifetime reproductive success. We did not find strong evidence for environment‐dependent parental age effects. Our study provides evidence for parental age effects on the lifetime fitness of offspring and shows that such effects can be sex dependent. These results add to the growing literature indicating the importance of intergenerational effects on long‐term offspring performance and highlight that these effects can be an important driver of variation in longevity and fitness in the wild.
Identification and Screening of Novel Anti-Cancer Compounds for Aurora Kinase-A from Chemical Database

Abstract Aurora kinase is a group of enzymes that belongs to a serine-threonine family and plays a critical role in cellular division. Aurora Kinase A is overexpressed and distributed beyond the nucleus and is involved in tumorigenesis. Flavones are a class of flavonoids that are present in plants that show anticancer activity. Similar compounds of 2’Fluoroflavones are retrieved from the PubChem database. Then drug-like filters viz. REOS and PAINS were applied to remove toxic compounds using Canvas software, resulting in 3882 compounds being subjected to Glide docking with Aurora kinase A. The lead compounds were selected on the merit of hydrogen bonding, salt bridge, as well as pi-pi interactions, 4-(6-Fluoro-4-oxychromen-2yl) benzoic acid, has been found one of the best molecules from docking studies. The binding mode of the lead compound with AURKA reveals that the amino acid residues viz, Lys162, Ala213, and His280 are more important for binding with the binding affinity of -11.760 kcal/mol. The molecular dynamics simulations of 100 ns were done, which shows the mean RMSD value of 1.77 Å for all 3 complexes of the protein and Fluoroflavone and its analogs. This shows that Fluoroflavone and its 2 best analogs are tightly attached to the active sites and thus have conformational stability. Our finding suggests that 4-(6-fluoro-4-oxochromen-2-yl)benzoic acid and 4-(4-Oxochromen-2-yl)benzoate can be further used in vitro and in vivo experiments and can probably serve as a novel drug for cancer treatment.
Improved Healing after Non-Surgical Periodontal Therapy Is Associated with Higher Protein Intake in Patients Who Are Non-Smokers

The aim of this study was to determine whether a relationship between periodontal healing and protein intake exists in patients undergoing non-surgical treatment for periodontitis. Dietary protein intake was assessed using the 2005 Block food frequency questionnaire in patients with chronic generalized periodontitis undergoing scaling and root planing (n = 63 for non-smokers, n = 22 for smokers). Protein intake was correlated to post-treatment probing depth using multiple linear regression. Non-smoking patients who consumed ≥1 g protein/kg body weight/day had fewer sites with probing depth ≥ 4 mm after scaling and root planing compared to patients with intakes <1 g protein/kg body weight/day (11 ± 2 versus 16 ± 2, p = 0.05). This relationship was strengthened after controlling for baseline probing depth, hygienist and time between treatment and follow-up (10 ± 2 versus 16 ± 1, p = 0.018) and further strengthened after controlling for potential confounders including age, sex, body mass index, flossing frequency, and bleeding on probing (8 ± 2 versus 18 ± 2, p < 0.001). No associations were seen in patients who smoked. Consuming ≥1 g protein/kg body weight/day was associated with reductions in periodontal disease burden following scaling and root planing in patients who were non-smokers. Further studies are needed to differentiate between animal and plant proteins.