Miracle-dz/UniFAR-FTUs huggingface dataset:
Stomata Detector: High-throughput automation of stomata counting in a population of African rice (Oryza glaberrima) using transfer learning

Stomata are dynamic structures that control the gaseous exchange of CO2 from the external to internal environment and water loss through transpiration. The density and morphology of stomata have important consequences in crop productivity and water use efficiency, both are integral considerations when breeding climate change resilient crops. The phenotyping of stomata is a slow manual process and provides a substantial bottleneck when characterising phenotypic and genetic variation for crop improvement. There are currently no open-source methods to automate stomatal counting. We used 380 human annotated micrographs of O. glaberrima and O. sativa at x20 and x40 objectives for testing and training. Training was completed using the transfer learning for deep neural networks method and R-CNN object detection model. At a x40 objective our method was able to accurately detect stomata (n = 540, r = 0.94, p<0.0001), with an overall similarity of 99% between human and automated counting methods. Our method can batch process large files of images. As proof of concept, characterised the stomatal density in a population of 155 O. glaberrima accessions, using 13,100 micrographs. Here, we present developed Stomata Detector; an open source, sophisticated piece of software for the plant science community that can accurately identify stomata in Oryza spp. , and potentially other monocot species.
Effect of Internet Addiction on Cognition - An Event Related Potential (P300) Study

Copyright © 2021 Phcog.Net. This is an openaccess article distributed under the terms of the Creative Commons Attribution 4.0 International license. ABSTRACT Background and Aim: Younger population is more vulnerable for developing internet addiction without being even aware of it. Event related potentials alteration, indicative of abnormality of cognitive function; occur in various substance addictions. Could internet addiction contribute to these similar alterations? To address this question, we compared event related potentials in students having internet addiction to those with no internet addiction. Methods: A total of 312 medical college students were screened for internet addiction using Young Internet addiction test (IAT) questionnaire. P300 recordings (a component of event related potential) were made using EMG/NCS/EP – 4 Channel systemOctopus 4 machine and compared between 30 moderate internet addicts (IAT score > 60) and 30 non addicts (IAT score <30) using independent sample t test. Correlation analysis was done using Pearson correlation. The level of significance was kept at P< 0.05 for all the tests. Results: The prevalence of internet addiction was 25.3% and 10.25% for mild and moderate internet addictions respectively. No student had severe internet addiction. Moderate internet addicts spent more than twice the average weekly hours of internet usage than non addicts. P300 latency was significantly prolonged in internet addicts compared to non addicts and the amplitude of P300 wave was found to be significantly lower in internet addicts. Conclusion: The significantly increased P300 latency and reduced P300 amplitude indicates cognitive decline in internet addicts.
Using Paradata to Understand Effort and Attrition in a Panel Survey

Current practices in survey research prioritize high response rates as the key indicator of survey quality. Survey organizations often expend large amounts of time and resources to attain responses from more difficult to interview respondents, particularly those that require refusal conversion, tracking or are otherwise hard to reach. Longitudinal surveys face the additional challenge of maintaining a high response rate over multiple rounds in order to minimize the effects of attrition. In this paper, we use contact record paradata from the 2009 cohort of the Medical Expenditure Panel Survey in order to construct three scenarios that simulate the effects of restricting recruitment effort spent on locating, contacting and obtaining cooperation from respondents respectively. For each of these scenarios, we examine differences in the pattern of attrition over the course of the survey and the changes that occur in estimates of key indicators as a result. For this survey, we find that restricting contacting effort results in the largest increase in overall attrition. Reducing effort put toward locating and contacting are found to produce sizeable changes in the resulting estimates. Reducing refusal conversion effort produces a comparable level of additional nonresponse to locating effort, however the impact on estimates is minimal.
Evaluation of the power absorbed in a human head model exposed to cellular phones equipped with helical antennas

The power deposition inside the head, due to phones equipped with helical antennas, has been computed developing an FDTD code with a graded mesh. Both radiating properties of the phone (radiation impedance, radiation pattern, etc) and power absorption in an anatomical model of the human head have been evaluated for three different types of cellular phones.
The nonlinear association between grandiose and vulnerable narcissism: an individual data meta-analysis.

OBJECTIVE Narcissism can manifest in grandiose and vulnerable patterns of experience and behavior. While largely unrelated in the general population, individuals with clinically relevant narcissism are thought to display both. Our previous studies showed that trait measures of grandiosity and vulnerability were unrelated at low-to-moderate levels of grandiose narcissism, but related at high levels (Jauk et al., 2017; Jauk & Kaufman, 2018). METHOD We replicate and extend these findings in a preregistered individual-data meta-analysis ("mega-analysis") using data from the Narcissistic Personality Inventory (NPI) / Hypersensitive Narcissism Scale (HSNS; N = 10,519, k = 28) and the Five-Factor - Narcissism Inventory (FFNI; N = 7,738, k = 17). RESULTS There was strong evidence for the hypothesis in the FFNI (βGrandiose<1 SD = .08, βGrandiose>1 SD = .36, βGrandiose>2 SD = .53), and weaker evidence in the NPI/HSNS (βGrandiose<1 SD = .00, βGrandiose>1 SD = .12, βGrandiose>2 SD = .32). Nonlinearity increased with age but was invariant across other moderators. Higher vulnerability was predicted by elevated antagonistic and low agentic narcissism at subfactor level. CONCLUSION Narcissistic vulnerability increases at high levels of grandiosity. Interpreted along Whole Trait Theory, the effects are thought to reflect state changes echoing in trait measures, and can help to link personality and clinical models.
CV-containing vesicle budding from chloroplast inner envelope membrane is mediated by clathrin but inhibited by GAPC

Clathrin-mediated vesicular formation and trafficking are highly conserved in eukaryotic cells and are responsible for molecular cargo transport and signal transduction among organelles. It remains largely unknown whether clathrin-coated vesicles can be generated from chloroplasts. CHLOROPLAST VESICULATION (CV)-containing vesicles (CVVs) generate from chloroplasts and mediate chloroplast degradation under abiotic stress. In this study, we showed that CV interacted with the clathrin heavy chain (CHC) and induced vesicle budding from the chloroplast inner envelope membrane. Defects on CHC2 and the dynamin-encoding DRP1A gene affected CVV budding and releasing from chloroplast. CHC2 is also required for CV-induced chloroplast degradation and hypersensitivity to water stress. Moreover, GLYCERALDEHYDE-3-PHOSPHATE DEHYDROGENASE (GAPC) interacts with CV and impairs the CV-CHC2 interaction. GAPC1 overexpression inhibited CV-mediated chloroplast degradation and hypersensitivity to water stress. CV silencing alleviated the hypersensitivity of gapc1gapc2 plant to water stress. Together, our work revealed a pathway of clathrin-assisted CVV budding from the chloroplast inner envelope membrane, which mediated the stress-induced chloroplast degradation and stress response.
Classification of Dynamic Cartographic Symbols applied to Augmented Reality (AR) Systems

Abstract. Paper maps were widely used during centuries; however, these maps do not change dynamically regarding its use context, the user behaviour and the change in the representations through time. Considering the research related to digital cartography, maps started to be seen both digitally and in a dynamic way due to the application of static and dynamic visual variables. During the process of navigation supported by maps, the comprehension of certain cartographic symbols can be a complex task for people. When using representations for virtual environment, specifically the Augmented Reality (AR) and Virtual Reality (VR), an advantage is the complementing of the information communication through virtual objects, which reduces the cognitive effort to decode all the representation as in the traditional maps. Until now, several scientific investigations about adjusting the cartographic design aimed to personal and vehicular navigation maps in AR are being developed. However, few studies investigate the application of dynamic symbols in AR built from the dynamic visual variables of Cartography. In this way, the aim on this research is to classify the symbols that use the dynamic variables. In addition, verify the presence of these variables in Augmented Reality systems in mobile devices that use AR to represent spatial information in the context of personal navigation in an outdoor environment.
Comparison of Two Different Approaches for the Seismic Evaluation of the Bonet Building of the National Palace of Sintra, Portugal

Complex masonry monuments represent an important part of the built cultural heritage and most of them are vulnerable to seismic actions. Their large scale, irregularity, and heterogeneity makes it challenging to characterize their structural behaviour. This work addresses the state of conservation as well as the structural behaviour and seismic vulnerability of the most ancient body of the National Palace of Sintra, Portugal: the Bonet building. This body was built on top of Arabic foundations during the reign of King Dinis, around the year 1281, and since then few alterations were made to the building. In order to minimize the multiple uncertainties usually existing in complex masonry buildings, whether related to geometry or masonry mechanical properties, a detailed structural survey was conducted together with different in-situ experimental tests. All the tests performed were important to the adequate characterization of the building and the calibration of the numerical models. The final values adopted for the mechanical properties of the rubble stone masonry are presented and can be used as a reference for future works in ancient Portuguese monuments of the same period. Afterwards, nonlinear static analyses were performed in two different software (3MURI and ABAQUS). Comparisons and discussion of the results are made. The differences in modelling strategies and characterization of materials between the two software are considered with regard to their realism, computational effort, data availability and applicability to large scale structures. Efforts to calibrate and obtain the same behaviour of the building for the different software were made, involving
Exploring on-line RF performance monitoring based on the indirect test strategy

This paper deals with the general domain of IC reliability and targets more specifically RF circuit. It investigates the feasibility of implementing on-line RF performance monitoring based on the indirect test strategy. The principle of the proposed solution is introduced and the essential requirements needed to adapt the indirect test strategy are discussed. The proposed solution is then applied to a wireless microcontroller with the objective to monitor the power level delivered by the RF transmitter. Hardware measurement results are presented, which demonstrate the potential of this approach and establish a proof-of-concept.
Nest spatial structure and population organization in the Neotropical ant Azteca chartifex spiriti Forel, 1912 (Hymenoptera: Formicidae: Dolichoderinae)

Vinícius L. Miranda, Elmo Koch, Jacques Hubert Charles Delabie, Laís Bomfim , Jéssica Padre & Cléa Mariano Programa De Pós-graduação Em Zoologia, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, Distrito Federal, Brazil; Programa de Pós-, Universidade Estadual de Santa Cruz, Rod. Jorge Amado Km16, Ilhéus, Bahia, Brazil; Laboratório de Mirmecologia, Centro de Pesquisa Do Cacau, Cepec/ceplac, Rod. Jorge Amado Km22, Ilhéus, Bahia, Brazil; Departamento de Ciências Agrárias E, Universidade Estadual de Santa Cruz, Rod. Jorge Amado Km16, Ilhéus, Bahia, Brazil; Departamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Rod. Jorge Amado Km16, Ilhéus, Bahia, Brazil
Coupling Parameters Between a Dielectric Resonator and a Microstripline

The coupling coefficient between a microstripline and the dipolar magnetic (TE/0gamma delta/ ) mode of a cylindrical dielectric resonator is evaluated by using two methods numerical and analytical. Theoretical and experimental extenal quality factors, as well as the scattering matrix parameters which consider the substrate material, the ground plane, and the distance between the line and the resonator, are presented.
Cytohistological Correlative Study of Thyroid Lesions by Imprint Method

1,2 Mysore Medical College, Mysore *Corresponding Author Anjali P V Abstract Background: Thyroid disorders are common clinical problem which are unique in both clinical presentation and symptoms. Imprint cytology is a simple, inexpensive and rapid diagnostic procedure that can be used in the perioperative diagnosis of thyroid lesions. The current study is designed to study the age, sex profile and the spectrum of various thyroid lesions and to assess the efficacy of imprint cytology by comparing it with histopathology smears. Method: In our study, conducted over a period of 18 months, imprint cytology of thyroid lesions was done perioperatively. The histopathological diagnosis was considered as the gold standard and imprint cytological diagnosis was compared with it. Results: In the present study, age of the patient ranged from 14-70 years, with a mean age being 39.24 years. Majority of patients were females with male to female ratio of 1:7.8. Out of the 53 cases studied, 46 cases were diagnosed as benign and7cases were diagnosed as malignant on imprint cytology. On histopathological examination, 45cases were diagnosed as benign and 8 cases were diagnosed as malignant. On cytohistopathological correlation, sensitivity and specificity was found to be 87.5 % and 100% respectively. The positive predictive value, negative predictive value and diagnostic accuracy was found to be 100%, 97.8% and 98.1% respectively. Conclusion: Imprint cytology is a simple, cost effective and rapid intraoperative diagnostic technique which can be a useful guide in making intraoperative therapeutic decision quickly.
Impact of selected work condition factors on quality of manual assembly process

This article presents the investigation of selected work environment factors with regard to the quality of manual assembly process. It describes the research carried out in a natural work environment and conditions in a factory producing car wire harnesses. It has been pointed out that only a few work condition factors have a significant influence on the assembly process's quality. The results of the experiments have proved the hypothesis that, between the two important work factors (noise level and work monotony), there is a significant interaction with respect to their impact on the assembly quality process. © 2010 Wiley Periodicals, Inc.
Seasonal and Spatial Variations of Atmospheric Ammonia in the Urban and Suburban Environments of Seoul, Korea

Atmospheric ammonia is a significant pollutant throughout the year, necessitating standardized measurement and identification of emission factors. We performed a quantized evaluation of ammonia concentrations at various locations in and around Seoul, South Korea. The established testing methods of the Radiello Passive Sampler were used for ammonia sampling, and the method was validated using annular denuder sampling. Urban and suburban areas were studied to gain a deeper understanding of the factors responsible for ammonia pollution. This study aimed to establish the fluctuations in concentration over one year, by analyzing the seasonal and regional variation in ammonia concentration. Livestock and agricultural areas recorded the highest concentration of ammonia among all sites, with the highest concentration recorded in autumn. However, at most of the other studied sites, the highest and lowest ammonia concentrations were recorded during summer and winter, respectively. This study attempted to establish a correlation between ammonia concentration and temperature, as well as ammonia concentration and altitude.
Enhanced Role-Based Access Control Administration Tool

This paper propose an extended model for role-permission assignment based on locations called “Enhanced Role-Based Access Control (ERBAC03)”. The proposed model is built upon the well-known RBAC model. Assigning permissions to role is considered too complex activity to accomplish directly. Instead we advocate breaking down this process into a number of steps. The concept of jobs and tasks is specifically introduced to facilitate role-permission assignment into a series of smaller steps. This model is suitable for any large organization that has many branches. Each branch consists of many users who work in difference roles. An administration tool has been developed to assist administrators with the administration of separation of duty requirements. It demonstrates how the specification of static requirements can be done based on “conflicting entities” paradigm. Static separation of duty requirements must be enforced in the administration environment. Finally, we illustrate how the ERBAC03 prototype is used to administer the separation of duty requirements.
Voltage resonant buck-boost converter using multi-layer-winding transformer

A multilayer-winding transformer made of a planar conductor and insulator has a small leakage inductance and a large winding capacitance between the terminals. This winding capacitance causes an undesirable oscillation in the conventional voltage resonant buck-boost converter. A novel type of voltage resonant buck-boost converter which has the resonant inductor in the secondary side of the transformer is presented. This converter can utilize the winding capacitance as part of the resonant capacitor without making the operation complex. <<ETX>>
A Study on Obstacle Detection with Automatic Pedestrian Tracking at Railway Level Crossings by using Laser Range Scanners

In this paper, the concept of novel obstacle-detecting methods for railway level crossings, which are capable of detecting pedestrians and bicycles besides motorcars based on both the laser range scanner technologies and digital signal processing techniques, has been proposed. The mathematical models for pedestrian tracking by using Kalman filter have been investigated. The performances of both the obstacle detection and pedestrian- tracking algorithm have been verified through field tests at an operating level crossing. The obstacle-characterisation-based countermeasures against level crossing accidents have been discussed. The test result shows that this method is promising from the points of views of preventing accidents and reducing operational cost.
Retrocommissioning's Greatest Hits

It is possible to save thousands of dollars in energy costs through a few low-cost operational adjustments but those opportunities are often hidden. Retrocommissioning is a systematic investigation process for improving and optimizing the operation and maintenance of buildings. Although owners’ priorities for RCX projects may vary, it typically focuses on energy-using equipment such as lighting, HVAC, refrigeration, and the related controls. This paper highlights key findings from several of PECI’s retrocommissioning projects that have produced significant benefits for low costs. The RCX measures are described along with the estimated savings, simple paybacks, and related benefits.
Mutual compensation of mobility and threshold voltage temperature effects with applications in CMOS circuits

Mutual compensation of mobility and threshold voltage temperature variations may result in a zero temperature coefficient bias point of a MOS transistor. The conditions under which this effect occurs, and stability of this bias point are investigated. Possible applications of this effect include voltage reference circuits and temperature sensors with linear dependence of voltage versus temperature. The theory is verified experimentally investigating the temperature behavior of a simple voltage reference circuit realized in 0.35 /spl mu/m CMOS process.
EVOLUTION OF WATER MANAGEMENT TECHNIQUES

Management involves decision making; and informed decisions can only be made on the basis of good information. Modern computers, with their vast data processing capabilities, are being used increasingly in water management. Most new techniques used are computer based.Techniques tend to develop first in the "harder" sciences and engineering and them spread to the softer areas such as environmental and social impact estimation. Examples are given from the field of hydrology and water resource management.Problems that involve both uncertainty and multiple objectives are still difficult to handle and suitable techniques are not yet in sight. However, the same trend towards more "objective" techniques is also visible here.
Context-Aware Misinformation Detection: A benchmark of Deep Learning Architectures using Word Embeddings

New mass media paradigms for information distribution have emerged with the digital age. With new digital-enabled mass media, the communication process is centered around the user, while multimedia content is the new identity of news. Thus, the media landscape has shifted from mass media to personalized social media. While this progress brings advantages, it also carries the risk of being detrimental to society through the emergence of misinformation (false or inaccurate information) and disinformation (intentionally spreading misinformation) in the form of fake news. Fake news is a tool used to manipulate public opinion on particular topics, distort public perceptions, and generate social unrest while lacking the rigor of traditional journalism. Driven by this current and real-world problem, in this paper, we train multiple Deep Learning architectures for multi-class classification and compare their performance in detecting the veracity of the news articles. To achieve accurate models in detecting misinformation, we employ a large dataset containing 100 000 news articles labeled with ten classes (one with real news and the rest with different types of fake news). We use two preprocessing techniques, i.e., one simple and another very aggressive, to clean the dataset. We also employ three word embeddings that preserve the word context, i.e., Word2Vec, FastText, and GloVe, pre-trained and trained on our dataset to vectorize the preprocessed dataset. For the misinformation task, we train a Logistic Regression as a baseline and compare its results with the performance of ten Deep Learning architectures. We obtain the best results using a Recurrent Convolutional Neural Network based architecture. The experimental results show that the models are highly dependable on text preprocessing and the word embedding employed.