Miracle-dz/UniFAR-FTUs huggingface dataset:
Radiation Pattern Reshaping of a Narrow Slot Antenna for Bandwidth Enhancement and Stable Pattern Using Characteristic Modes Analysis

A novel design concept to reshape radiated fields of a slot antenna for improved bandwidth and stable radiation pattern is proposed. Initially, the radiated fields of the traditional slot antenna are theoretically studied using characteristic modes (CMs). The results demonstrate that its CM1, CM2, and CM3 are resonated around 2.39, 4.78, and 7.17 GHz, respectively. Both CM1 and CM3 maintain the bidirectional radiation patterns, whereas CM2 generates a radiation null in the broadside direction. Then, in order to utilize the nearby CM1 and CM2 for wide bandwidth, the linear slot is properly folded so as to transform the nonbidirectional pattern of CM2 into the bidirectional one. After that, the narrow slot is reformed as the stepped scheme, thus reallocating these dual modes in proximity to each other. With these arrangements, the impedance bandwidth of the antenna is dramatically widened with two attenuation poles, while keeping a compact size and stable radiation pattern. Finally, the proposed antenna is fabricated and tested. Measured results show that the antenna without any extra feeding network has gained a wide bandwidth (<inline-formula> <tex-math notation="LaTeX">$\vert S_{11}\vert < -10$ </tex-math></inline-formula> dB) of around 31.4% ranging from 3.22 to 4.42 GHz, which is about 2.24 times wider than its traditional counterpart (14%). Besides, the overall size of the slot radiator is kept as small as about <inline-formula> <tex-math notation="LaTeX">$0.42\lambda _{0} \times 0.06\lambda _{0}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{0}$ </tex-math></inline-formula> is the free-space wavelength). Particularly, the bidirectional radiation pattern, stable gain of around 5 dBi, and low cross-polarization of below −12.3 dB are all satisfactorily generated during the operating band.
A web-based serious game about self-protection for COVID-19 prevention: Development and usability testing

Los casos de COVID-19 siguen aumentando rapidamente en muchos paises a pesar de la vacunacion. La mejor forma de combatirlo es la proteccion personal. En este estudio desarrollamos un juego serio de la web (WSG-COVID-19.SP) para promover las estrategias de aprendizaje para protegerse contra el COVID-19. Tambien probamos la validez y usabilidad del sistema. WSG-COVID-19.SP fue desarrollado de acuerdo a la teoria situada de aprendizaje y retroalimentacion diagnostica. Contiene seis historias con 17 objetivos de aprendizaje. Se usa un enfoque de resolucion de problemas para promover el uso de mascarillas, lavado de manos y distanciamiento social. Se uso el analisis de portafolio para identificar los problemas y el proceso de aprendizaje. El indice global de validez de contenido de la escala (S-CVI) fue utilizado para evaluar su eficacia. La usabilidad fue probada mediante una encuesta de web de 71 estudiantes de una universidad para evaluar su aceptacion tecnologica y la capacidad del juego para promover la proteccion personal. El S-CVI era 0,81. La usabilidad y aceptabilidad no correspondian con la especializacion del usuario (ya sea que este relacionada con la tecnologia de la informacion) ni con el genero. Un 84,5% de los usuarios queria continuar la practica porque estaban motivados por los resultados diagnosticos. WSG-COVID-19.SP exhibe un contenido valido y una alta satisfaccion del usuario.
Recent Advances in Flexible Organic Synaptic Transistors

In recent years, flexible organic synaptic transistors have attracted considerable attention due to their flexibility, biocompatibility, easy processability, and reduced complexity. Flexible organic synaptic transistors have functions and structures similar to biological synapses but have lower energy consumption. Therefore, they are widely used in mimicking neuromorphic functions. Such devices show significant prospects in the fields of electronic skin, artificial vision system, human brain interface, and wearable consumer electronics. This review summarizes the latest research progress of flexible organic synaptic transistor devices and discusses the selection of flexible substrates, device preparation technology, working mechanisms, and functions. Furthermore, the problems faced by flexible organic synaptic transistor devices and their potential applications are analyzed. This review provides a reference for the design and preparation of flexible organic synaptic transistor devices.
Determining the Resilience of Rural Households to Food Insecurity during Drought Conditions in Fars Province, Iran

Climate change and drought have greatly affected the food security of rural families. Regarding to importance of the resilience approach in food security, this study aimed to examine the resiliency determinant factors based on six indicators included income and food access, access to basic services, assets, social safety net, adaptive capacity, and stability. The above-mentioned indicators were extracted from the food and agricultural organization’s resilience index. This research was of the survey type, and data were collected from a sample of population based on a stratified random sampling. The sample population was 270 respondents from the Fars province who faced food insecurity due to drought. Based on the factorial analysis, the model presented in this research had a high predictability of resilience among rural households. The validity and reliability of this model were tested and verified. The results showed that the stability variable was considered the most important resiliency determinant toward food insecurity. Cluster analysis suggested two groups: high- and low-resilience households. The results revealed that more than half of rural families had a lower resilience to food insecurity, while less than 45 percent of rural households in this study had higher resiliency, which was characterized by a series of features. The verified model in this study identified a standard framework for assessing the resiliency of households to cope with food insecurity and to recover from shocks related to drought.
Siyaq Al-Hijrah ‘inda Ibn Athiyah fi sKitab al-Muharrar al-Wajiz fi al-Tafsir al-Kitab al-‘Aziz

Hijrah is defined as an integral part of a Muslim's devotion to Allah SWT as well as a representation of the form of faith. This study aimed to investigate the meaning of Hijrah viewed from Muharrir al-Wajiz interpretations by Ibn 'Atiyah. Hijrah is divided into hijrah hissiyyah and maknawiyah . Ibn 'Atiyah also discussed the meaning of hijrah in the interpretation. How is the interpretation of hijrah according Ibn Atiyah's perspective? From the studies conducted, the author concludes that Ibn 'Atiyah interprets hijrah by observing at the dzahir verse which usually uses gramatical studies, and A sbabun-nuzul without looking at the meaning of the sign or the mind. Hijrah in a Makiyyah letter means moving to Habasyah, the hijrah of prophets Ibrahim and Luth and other meanings that indicate the occurrence before the Prophet's migration to Medina. While the migration in the madaniyah letter, Ibn Atiyah has similarities with other commentators who interpret hijrah as Hissiyyah , He also interpret it as hijrah maknawiyah , its mean moving to Allah and His Messenger, by obeying and leaving what was forbidden by Him, even though the hijrah has stopped after Fathu Makkah, but maknawiyah hijrah is needed for everyone.
The influence of ball possession, passes and shots on target in winning premier league football matches

Football is the most popular sport in the world and involves the availability of information of footballers and teams to investigate success in this sport. In account of these aspects, the current study aims to analyze the influence of ball possession time, passes and shots on target in winning Premier League football matches. The methodology adopted consists of a quantitative, descriptive and documentary research, in which the sample is represented by all the 380 Premier League (PL) matches of the 2015/2016 season. The analysis process was made by the use of the association technique, present in the data mining process, with the support of the Weka software. The results suggest that shots on target, as well as its interaction with ball possession and passes - total passes, accuracy of passes, accuracy of passes inside the opponent’s field and long passes - influenced the final result of the match. Based on the results, the conclusion is that direct play alternatives, such as presenting less ball possession time and more long passes, associated with more shots on target, showed to be more beneficial for football clubs to win football matches.
Testing gene–environment interactions in the presence of confounders and mismeasured environmental exposures

Abstract Interest in investigating gene–environment (GxE) interactions has rapidly increased over the last decade. Although GxE interactions have been extremely investigated in large studies, few such effects have been identified and replicated, highlighting the need to develop statistical GxE tests with greater statistical power. The reverse test has been proposed for testing the interaction effect between continuous exposure and genetic variants in relation to a binary disease outcome, which leverages the idea of linear discriminant analysis, significantly increasing statistical power comparing to the standard logistic regression approach. However, this reverse approach did not take into consideration adjustment for confounders. Since GxE interaction studies are inherently nonexperimental, adjusting for potential confounding effects is critical for valid evaluation of GxE interactions. In this study, we extend the reverse test to allow for confounders. The proposed reverse test also allows for exposure measurement errors as typically occurs. Extensive simulation experiments demonstrated that the proposed method not only provides greater statistical power under most simulation scenarios but also provides substantive computational efficiency, which achieves a computation time that is more than sevenfold less than that of the standard logistic regression test. In an illustrative example, we applied the proposed approach to the Veterans Aging Cohort Study (VACS) to search for genetic susceptibility loci modifying the smoking-HIV status association.
Novel Process for Preparation of Tetrabenazine and Deutetrabenazine

A novel process for the synthesis of tetrabenazine (1) and deutetrabenazine (2), two well-known drugs used for the treatment of chorea associated with Huntington’s disease, has been developed. All of the reaction parameters were optimized through a series of reactions and by using Design of Experiment techniques. The newly developed methods are industrially scalable and employ cheap, commercially available raw materials and hence are highly efficient. The added advantage is that the developed processes evade the use of genotoxic alkylating agents and therefore could be considered as safe and viable alternatives to the existing methods.
Biovera-Epi: A new database on species diversity, community composition, and leaf functional traits of vascular epiphytes along an elevational gradient in Mexico

This data paper describes a new, comprehensive database (BIOVERA-Epi) on species distributions and leaf functional traits of vascular epiphytes, a poorly studied plant group, along gradients of elevation and forest-use intensity in the central part of Veracruz State, Mexico. The distribution data includes frequencies of 271 vascular epiphyte species belonging to 92 genera and 23 families across 120 20 m × 20 m forest plots at eight study sites along an elevational gradient from sea level to 3500 m a.s. l. In addition, BIOVERA-Epi provides information on 1595 measurements of nine morphological and chemical leaf traits from 474 individuals and 102 species. For morphological leaf traits, we provide data on each sampled leaf. For chemical leaf traits, we provide data at the species level per site and land-use type. We also provide complementary information for each of the sampled plots and host trees. BIOVERA-Epi contributes to an emerging body of synthetic epiphytes studies combining functional traits and community composition. BIOVERA-Epi includes data on species frequency and leaf traits from 120 forest plots distributed along an elevational gradient including six different forest types and three levels of forest-use intensity. It will expand the breadth of studies on epiphyte diversity, conservation, and functional plant ecology in the Neotropics and will contribute to future synthetic studies on the ecology and diversity of tropical epiphyte assemblages.
The Role of Strong Meridional Neutral Winds in the Formation of Deep Equatorial Ionization Trough in CHAMP Observations

Ionospheric plasma density data from the Planar Langmuir Probe onboard the CHAllenging Minisatellite Payload (CHAMP) are used to investigate the latitudinal profile of the ionospheric plasma density. Along with the well‐known profiles with features of the equatorial ionization anomaly and equatorial plasma bubbles, a third type is observed as smooth profiles with large‐scale deep equatorial trough (DET) where the plasma density is extremely low. A global survey focusing on magnetically quiet conditions reveals that the DET profiles are generally a post‐sunset phenomenon, and their appearance depends on longitude and season. During equinoxes in active solar years, the strong pre‐reversal enhancement electric field is believed to uplift the ionosphere and produce the DET profiles. While around June solstice, the DET profiles are clustered at 45° W– 0° E longitude, where the zonal electric field is weak but the magnetic meridional component of the neutral wind is most significant. The SAMI2 model is then employed to simulate the ionospheric plasma distribution in the magnetic meridional plane with enhanced neutral wind, which successfully reproduced the main features of the observed DET profile. The results indicate that the neutral wind can obviously affect the equatorial ionosphere by transporting plasma in the magnetic flux tube through neutral‐ion interaction. The neutral wind is previously known to work with the inclined magnetic field at mid‐latitude, while this study emphasizes its effect around the magnetic equator especially when the electric field forcing ( E×B ) is weak or absent.
Are mortgage loan closing delay risks predictable? A predictive analysis using text mining on discussion threads

Loan processors and underwriters at mortgage firms seek to gather substantial supporting documentation to properly understand and model loan risks. In doing so, loan originations become prone to closing delays, risking client dissatisfaction and consequent revenue losses. We collaborate with a large national mortgage firm to examine the extent to which these delays are predictable, using internal discussion threads to prioritize interventions for loans most at risk. Substantial work experience is required to predict delays, and we find that even highly trained employees have difficulty predicting delays by reviewing discussion threads. We develop an array of methods to predict loan delays. We apply four modern out‐of‐the‐box sentiment analysis techniques, two dictionary‐based and two rule‐based, to predict delays. We contrast these approaches with domain‐specific approaches, including firm‐provided keyword searches and “smoke terms” derived using machine learning. Performance varies widely across sentiment approaches; while some sentiment approaches prioritize the top‐ranking records well, performance quickly declines thereafter. The firm‐provided keyword searches perform at the rate of random chance. We observe that the domain‐specific smoke term approaches consistently outperform other approaches and offer better prediction than loan and borrower characteristics. We conclude that text mining solutions would greatly assist mortgage firms in delay prevention.
The rogue access point identification: a model and classification review

Most people around the world make use of public Wi-Fi hotspots, as their daily routine companion in communication. The access points (APs) of public Wi-Fi are easily deployed by anyone and everywhere, to provide hassle-free Internet connectivity. The availability of Wi-Fi increases the danger of adversaries, taking advantages of sniffing the sensitive data. One of the most serious security issues encountered by Wi-Fi users, is the presence of rogue access points (RAP). Several studies have been published regarding how to identify the RAP. Using systematic literature review, this research aims to explore the various methods on how to distinguish the AP, as a rogue or legitimate, based on the hardware and software approach model. In conclusion, all the classifications were summarized, and produced an alternative solution using beacon frame manipulation technique. Therefore, further research is needed to identify the RAP.
Reactive metabolites of oxygen and nitrogen influence rat diaphragm muscle function during hypoxia

During hypoxia, a condition called reductive stress, characterized by excess reducing equivalents in the cell, can paradoxically lead to enhanced formation of reactive species of oxygen and nitrogen and may lead to conditions of oxidative stress. The hypothesis tested in this thesis was that the decline in function seen during hypoxia is in part caused by reactive species of oxygen. If so, then treatment with antioxidants should inhibit the 611 in muscle function during hypoxia. Similarly, if the fall in muscle function during hypoxia is due to reactive species o f nitrogen, then reduction in endogenous nitric oxide ( NO) production should protect muscle function and conversely, addition of exogenous NO should further inhibit muscle function during hypoxia. Finally, if hypoxia triggers formation of reactive species of oxygen or nitrogen, it is possible that this results in conditions of oxidative stress characterized by a shift in glutathione redox status or increased lipid peroxidation products. These hypotheses were tested on untreated (control) rat diaphragm muscle strips incubated in tissue baths and tissues treated with antioxidants such as N-acetyl-L-cysteine, dimethylsulfoxide, superoxide dismutase and Tiron or, modulators of nitric oxide production such as nitric oxide synthase inhibitor (L-NAME), NO donor (DETA/NO) or guanylate cyclase inhibitor (ODQ). Force-frequency relationships were studied under an initial phase (QSVoGi-SVoCGj), after a 30 minute hypoxic phase (95%N ,-5 %CG7), and 30 minutes after a recovery phase. The results showed signiiBcant protection of muscle function during hypoxia in muscles treated with antioxidants, NO donors and nitric oxide synthase inhibitors. ODQ did not affect muscle function during hypoxia, suggesting that endogenous NO functions via cGMP-independent pathways. Upon reoxygenation, there was a significant recovery of muscle function in antioxidant-treated tissues, while modulators of nitric oxide had minimal effects on recovery. There was however, no clear evidence o f oxidative stress as determined by an unaltered ̂ utathione redox status and lack of significant changes in lipid peroxidation products. In conclusion, in this study of hypoxic diaphragm, while oxidant generation may be large enough to cause significant decline in muscle function, it is not of sufGcient magnitude to cause significant, irreversible oxidative stress to the muscle.
Broad Autoencoder Features Learning for Classification Problem

Activation functions such as tanh and sigmoid functions are widely used in deep neural networks (DNNs) and pattern classification problems. To take advantage of different activation functions, this work proposes the broad autoencoder features (BAF). The BAF consists of four parallel-connected stacked autoencoders (SAEs), and each of them uses a different activation function, including sigmoid, tanh, relu, and softplus. The final learned features can merge by various nonlinear mappings from original input features with such a broad setting. It not only helps to excavate more information from the original input features through utilizing different activation functions, but also provides information diversity and increases the number of input nodes for classifier by parallel-connected strategy. Experimental results show that the BAF yields better-learned features and classification performances.
Evaluation of Antibiotic Tolerance in Pseudomonas aeruginosa for Aminoglycosides and its Prediction of Resistance Development Through In-silico Transcriptomic Analysis

Pseudomonas aeruginosa causes severe life-threatening infections and are difficult to treat. The lack of antibiotic response in P. aeruginosa is due to adaptive resistance, which prevents the entry of antibiotics into cytosol of the cell. Among different groups of antibiotics, aminoglycosides show superior antibiotic response and are used as a parental antibiotic for treatment. This study aims to determine the kinetics of adaptive resistance development and gene expression changes in P. aeruginosa exposed to amikacin, gentamicin, and tobramycin. In vitro antibiotic exposure to P. aeruginosa was performed and optical density of the cells were monitored for every 12 hours until 72 hours. The growth pattern plotted in graph represents the kinetics of adaptive resistance developed to respective antibiotics. The transcriptomic profile of P. aeruginosa PA14 to post exposed antibiotic was taken from Gene Expression Omnibus (GEO), NCBI. The gene expressions of two datasets were analyzed by case-control study. Tobramycin exposed P. aeruginosa failed to develop adaptive resistance in 0.5ug/mL, 1ug/mL and 1.5ug/mL of its MIC. Whereas, amikacin and gentamicin treated P. aeruginosa developed tolerance in the inhibitory concentrations of the antibiotics. This depicts the superior in vitro response of tobramycin over the gentamicin and amikacin. Furthermore, tobramycin treated P. aeruginosa microarray analysis resulted in low expression of catalytic enzyme 16s rRNA Methyltransferase E, B & L, alginate biosynthesis genes and several proteins of Type 2 Secretory System (T2SS) and Type 3 Secretory System (T3SS). The Differentially Expressed Genes (DEGs) of alginate biosynthesis, and RNA Methyltransferases suggests increased antibiotic response and low probability of developing resistance. The use of tobramycin as a parental antibiotic with its synergistic combination might combat P. aeruginosa with increased response.
Nanocube In2O3@RGO heterostructure based gas sensor for acetone and formaldehyde detection

Here, we studied the gas sensing response properties for acetone and formaldehyde by a chemiresistive nanocube In2O3@RGO heterostructure sensor. The nanocube In2O3@RGO heterostructure based sensor demonstrates a high response to acetone (∼85%) and formaldehyde (∼88%) at 25 ppm concentration and optimum working temperatures of 175 °C and 225 °C, respectively. Additionally, we examined the influence of potential barrier heights in the response/recovery time of the nanocube In2O3@RGO heterostructure based acetone and formaldehyde gas sensor. The real-time response/recovery analysis reveal that the sensor response depends on the potential barrier height as well as adsorbed active sites (O2− & O−) on the sensor surface. Furthermore, the nanocube In2O3@RGO heterostructure based gas sensor shows good selectivity to acetone and formaldehyde at optimum working temperature of 175 °C and 225 °C, respectively, compared to the other interfering gases such as ethanol, methanol, chloroform, toluene, benzene, ammonia, formic acid and acetic acid. The life-time analysis has been performed for 30 days, which showes the stability of nanocube In2O3@RGO heterostructure based acetone and formaldehyde sensor.