Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between chronotype and depression schemas and sensitivity to depression in medical students

Aim: We aimed to investigate the relationship between chronotype and depression schemas and sensitivity to depression in healthy medical students with sensitivity and cognitive scales. Materials and Methods: The study included 38 healthy fifth-year medical students enrolled in Van Yuzuncu Yil University Medical Faculty. All the participants were administered a sociodemographic background questionnaire, followed by the MorningnessEveningness Questionnare (MEQ), the Dysfunctional Attitude Scale (DAS), and the Leiden Index of Depression Sensitivity-Revised (LEIDS-R). Results: The average total MEQ score was 51.60 ± 8.71. No significant correlation was found between total DAS score total LEIDS-R score (p: 0.5847; r: 0.09154) and LEIDS-R type (p: 0.9081, r: 0.01936). Both MEQ type and total MEQ score established a significant correlation with the ‘perfectionism’ parameter on LEIDS-R. Moreover, the correlation between total MEQ score and ‘perfectionism’ was at a moderate level (p: 0.0014, r: 0.50021), it indicated that the level of perfectionism increases with the increase in the tendency towards morningness. Conclusion: No relationship was found between chronotype and tendency to depression among medical students. It was determined that the perfectionism scheme was strengthened with the increasing tendency towards the morningness. Hypothetically, the hyperactivation of morning-type features can be a protective factor against depression.
Barriers to vaccine uptake in the fishing and island communities of Uganda: a qualitative study

Background: Despite global and local initiatives to increase vaccine uptake, timeliness of vaccinations and vaccine uptake remain low among residents of islands and fishing communities in Uganda. Vaccine coverage (all vaccines) among island communities stands at 37.1% compared to 55%, the national level. This qualitative study was conducted to (i) understand key barriers to vaccine uptake among residents of islands and fishing communities of Lake Victoria, Buganda sub-region, Uganda and (ii) identify specific needs of the communities; ahead of implementation of a mobile health intervention to promote vaccine uptake. Methods: Explorator y qualitative. Data were collected through focus group discussions with women of reproductive age and village health teams (VHT) and key informant interviews with the health coordinators and health service providers. Data were analysed through content analysis, by coding pre-established and recurrent themes.Results: Under the barriers, seven themes were identified: Opportunity cost of seeking vaccines versus making a living, Distance/Cost to health facility, Availability of service provider, Attitudes towards vaccines, Decision making regarding the use of vaccines, Knowledge of availability of services, and Attitudes of service providers. Participants suggested strategies to improve uptake: 1) more health education and regular reminders using VHTs, public address systems and mobile technology; 2) bring services closer to people through scheduled vaccination campaigns to reduce on cost of seeking services; and 3) strengthening public-private partnerships in the health sector for delivery of vaccine services. Conclusion: In light of the current barriers to vaccine uptake, innovations to increase the utilisation of vaccination services in remote underserved settings need to be multi-pronged, responding to user, structural and supply-side factors. The use of mobile technology and public-private partnerships for health have the potential to bridge existing vaccine delivery and uptake gaps.
Numerical Simulation of the Flow Field Around Fishing Net Under Current

Based on the control equations consisting of the continuity equation, the momentum equation and realizable k-e turbulence model, this paper introduces the porous media model to establish a two-dimensional numerical model of flow field around fishing net under current. The control equations are solved by two-dimensional segregated implicit algorithm. The unknown porous coefficients are determined from experimental normal drag forces and flow velocities using the least square method. Therefore, the porous media act the same waterblocking effect as the net. This numerical model is applied for modeling the flow field around a net panel under current and the numerical results are compared with data obtained by physical model tests. The velocity magnitude and the trend of velocity reduction of the numerical simulation agree well with the experimental data. On this basis, this paper also presents simulation of the flow field of a square cage; the results come to agree with the experimental data by Song et al. (2007) showing that the numerical model is applicable to a net cage.
Toward Full Autonomy for Vision-Guided Robots: From Self-Calibration to Self-Directed Exploration

Many building blocks have to be put in place for full robot autonomy to happen: self-calibration, control, perception, path planning, and high-level behaviors. Hence, a considerable number of algorithms has to run on-board a robot, which however, has a finite amount of computational resources. Vision-based perception algorithms are inherently computationally expensive, and this fact makes full autonomy for a vision-guided robot even more challenging to achieve. Given only 2D image data, computationally efficient algorithms are needed to compute accurately and in real-time the robot’s current pose and the 3D geometric representation of the environment. An accurate 3D map of the environment with a high update rate is a primary requisite for high-level behaviors on the robot. We propose a 3D occupancy mapping algorithm that runs in real-time, has constant space complexity, and scales well to large environments. Through extensive real-world experiments with a micro aerial vehicle (MAV) equipped with a forward-looking stereo camera, we demonstrate our 3D occupancy mapping algorithm to work well in both indoor and outdoor environments. In addition, we build on the 3D mapping results by showing wall-following and frontier-based exploration behaviors. With automated 3D reconstruction in mind, we continue our work on exploration by proposing an algorithm for simultaneous exploration and coverage. Simulation experiments show the feasibility of this algorithm. The use of multiple cameras increases a robot’s perceptual awareness of its environment. However, transformations between cameras must be known with high accuracy. In this case, an unsupervised and markerless calibration algorithm is ideal as expert supervision and modification of the environment are not required. We propose SLAM-based self-calibration algorithms for two different configurations of multi-sensor systems: one with multiple monocular cameras and a calibrated odometry system, and one with multiple calibrated stereo cameras. Metric scale is inferred from odometry and calibrated stereo
Transcriptome sequencing and whole genome expression profiling of purple-fleshed sweetpotato under salt stress

Abstract Background: Purple-fleshed sweetpotato (PFSP) is one of the most important crops in the word which helps to bridge the food gap and contribute to solve the malnutrition problem especially in developing countries. Salt stress is seriously limiting its production and distribution. Due to lacking of reference genome, transcriptome sequencing is offering a rapid approach for crop improvement with promising agronomic traits and stress adaptability. Results: Five cDNA libraries were prepared from the third true leaf of PFSP at seedlings stage (Xuzi-8 cultivar) treated with 200 mM NaCl for 0, 1, 6, 12, 48 hours. Using second and third generation technology, Illumina sequencing generated 170,344,392 clean high-quality long reads that were assembled into 15,998 unigenes with an average length 2178 base pair and 96.55% of these unigenes were functionally annotated in the NR protein database. A number of 537 unigenes failed to hit any homologs which may be considered as novel genes. The current results indicated that sweetpotato plants behavior during the first hour of salt stress was different than the other three time points. Furthermore, expression profiling analysis identified 4, 479, 281, 508 significantly expressed unigenes in salt stress treated samples at the different time points including 1, 6, 12, 48 hours, respectively as compared to control. COG analysis revealed that the highest number of genes was categorized as “post-translational modification, protein turnover, chaperones” followed by “signal transduction mechanisms”. Gene ontology (GO) enrichment analysis showed that salt stress caused changes in metabolic process (Secondary and amino acids), hormone response, cellular processes and single organism processes. These findings suggest that salt stress tolerance in PFSP plants may be mainly depended on three factors including the balance between protein biosynthesis and degradation, preventing or correcting damage caused by miss-folding due to salt stress and transforming the certain stimulus induced by salt stress into a biochemical signal which activates more genes specifically involved in salt stress tolerance.
Heat treatment process optimization for face gears based on deformation and residual stress control

In this paper, based on the principle of heat transfer and thermal elastic-plastic theory, the heat treatment process optimization scheme for face gears is proposed according to the structural characteristics of the face gear and material properties of 12Cr2Ni4 steel. To simulate the effect of carburizing and quenching process on tooth deformation and residual stress distribution, a heat treatment analysis model of face gears is established, and the microstructure, stress and deformation of face gear teeth changing with time are analyzed. The simulation results show that face gear tooth hardness increases, tooth surface residual compressive stress increases and tooth deformation decreases after heat treatment process optimization. It is beneficial to improving the fatigue strength and performance of face gears.
P2.9.5 A Novel OA-Based Oscillating Circuit for Uncalibrated Capacitive and Resistive Sensor Interfacing Applications

In this paper, we propose a novel square-wave oscillator, based on Operational Amplifier (OA), making an impedance-to-period (Z-T) conversion that, instead of a voltage integration typically performed by other solution presented in the literature, is based on a voltage differentiation. This circuit is suitable as first analog front-end for both capacitive (e.g., for relative humidity) and resistive (e.g., for gas) sensors, working also for wide−range variations (e.g., about 6 capacitive variation decades). Circuit sensitivity can be easily set through the setting of passive components. Preliminary experimental measurements, utilizing the fabricated prototype PCB, sample passive components and the commercial capacitive humidity sensor Honeywell HCH−1000, have shown good linearity and accuracy in the estimation of both capacitances, having a baseline or changing their value in the range [pF√µF], as well as for more reduced variations of resistance, ranging from kΩ to MΩ.
Barriers to Sexual and Reproductive Health Information among University Students in Uganda: A qualitative study

Background: University students are one of the most vulnerable groups to sexual and reproductive health (SRH) threats, yet they often have limited access to SRH tools, services and information. This study explored university students’ perceptions of SRH, their source of SRH information and how they authenticated such information in Uganda. Methods: Data were collected from 40 students of Kyambogo university—20 males and 20 females through 4 gender-classified Focus Group Discussions (FGDs). Atlas ti 8 software was used to analyse the data and generate themes from interview transcripts.Results: Many students perceived SRH to be about sexual intercourse and its related consequences. Perceived risky behaviours included mainly having multiple sexual partners. The students identified the reduced sexual sensitivity, struggle to bear children in the future, as the myths and misconceptions about different SRH goods and services in addition to the uncertainty over safe days. The various sources of SRH information included Google, social media, health centres, friends, parents and government and non-government organizations. The main barriers to accessing SRH information included lack of finances, inadequate or few medical personnel, and service provider bias. Many of them authenticated the SRH information from the internet through their friends. Conclusion: New approaches and interventions should target both students and their parents, as this multifaceted approach will reduce the societal stigma, bias, ignorance, negative attitudes, and exposure to risky sexual behaviours among such youth populations.
Urban Traffic Pattern Analysis and Applications Based on Spatio-Temporal Non-Negative Matrix Factorization

Analyzing the traffic state of large citywide networks is an inherently difficult task. Various data issues, traffic signals, stops signs and other flow inhibitors of the network-level traffic state make the analysis more difficult than that under the small-scale local traffic state. To address this challenge, we propose a method based on spatio-temporal non-negative matrix factorization (ST-NMF), which is used for road network traffic pattern analysis. The method can be further extended to traffic data reconstruction and traffic prediction. In order to analyze traffic patterns, the proposed spatio-temporal non-negative matrix factorization model represents the network traffic as a linear combination of several basic patterns, which is also interpreted as the dynamics of spatial traffic characteristics over time in low-dimensional space. By the visual display of the spatial and temporal patterns and the assistance of clustering methods, the traffic pattern features are extracted. In the extended applications, data reconstruction relies on the sampling representation of missing data by ST-NMF, and data prediction is based on the prediction of the temporal patterns by ST-NMF. Through our method, we can not only obtain a high-quality data foundation, but also explore typical spatio-temporal patterns and general predictions of the future traffic state. The analysis results have important guiding significance on the management of intelligent transportation systems. Experiments on real-world traffic data are provided to verify the validity of our proposed approach.
Integration of Cloud Computing and Reverse Engineering 3D Scanning for marine applications

Reverse Engineering (RE), in particular Coordinate Measuring Machine (CMM), is increasingly used in construction, maintenance and refurbishment of vessels. Over the last few years, it can observe increasing interest in the small size scanning instruments which operational characteristics will be similar to those station ones. In this way, hand-held scanning devices based on laser were developed. In this article, authors would like to present what role non-contact 3D laser scanners in quality control, project design and creation of new technical documentation in the form of CAD drawings. Authors would also like to propose a solution that would simplify the whole process of scanning and spared time and money. The solution is to move the entire infrastructure and software in the cloud computing and connecting to it using a thin client which then would be connected to the scanning device. Słowa kluczowe: inżynieria odwrotna, skanery laserowe 3D Abstrakt Inżynierię Odwrotną (ang. Reverse Engineering), a w szczególności maszyny współrzędnościowe, coraz częściej stosuje się w budowie, utrzymaniu i w renowacji jednostek pływających. Przez ostatnie lata możemy zauważyć duże zainteresowanie urządzeniami skanującymi małych rozmiarów, których właściwości robocze będą zbliżone do tych stacjonarnych. Tym sposobem powstały ręczne urządzenia skanujące na bazie lasera. W artykule przedstawiono rolę, jaką odgrywają bezdotykowe skanery laserowe 3D w kontroli jakości elementów, projektowaniu czy tworzeniu nowych danych technicznych w formie rysunków typu CAD. Zaproponowano rozwiązanie, które uprościłoby cały proces skanowania, jak i oszczędziło czasu i pieniędzy. Rozwiązaniem tym jest przeniesienie całej infrastruktury i oprogramowania w chmurę obliczeniową i łączenie się z nią za pomocą cienkiego klienta, który następnie byłby połączony z urządzeniem skanującym.
Variation for Heat Tolerance During Seed Germination in Diverse Carrot [Daucus carota (L.)] Germplasm

Carrot production is constrained by high levels of heat stress during the germination stage in many global regions. Few studies have been published evaluating the effect of heat stress on carrot seed germination or screening for genetic heat stress tolerance. The objectives of this study were to evaluate the response of diverse carrot germplasm to heat stress, identify heat-tolerant germplasm that may be used by plant breeders, and define the appropriate temperature for assessing heat tolerance in germinating carrot seed. To identify an appropriate screening temperature, three commercial hybrids and an open pollinated variety were evaluated at five temperatures (24, 32.5, 35, 37.5, and 40 °C). In preliminary studies, 35 °C was identified as the optimal temperature for screening heat tolerance of carrot seed. Cultivated and wild carrot plant introductions (PIs) (n = 270) from the U.S. Department of Agriculture (USDA) National Plant Germplasm System (NPGS) representing 41 countries, inbred lines from the USDA Agricultural Research Service (n = 15), and widely grown commercial hybrids (n = 8) were evaluated for heat tolerance under heat stress and nonstress conditions (35 °C and 24 °C, respectively) by calculating absolute decrease in percent germination (AD), inhibition index (II), relative heat tolerance (RHT), and heat tolerance index (HTI). All measurements of heat tolerance identified significant differences among accessions; AD ranged from −13.0% to 86.7%, II ranged from 35.7% to 100.0%, RHT ranged from 0 to 1.36, and HTI ranged from 0.0 to 1.45. The broad-sense heritability (H2) calculations ranged from 0.64 to 0.86 for different traits, indicating a moderately strong genetic contribution to the phenotypic variation. Several wild carrot accessions and inbred lines displayed low levels of heat tolerance, whereas cultivated accessions PI 643114 (United States), PI 652400 and PI 652403 (Turkey), PI 652208 (China), and PI 652403 (Russia) were most heat tolerant. This is the first evaluation of heritability for heat stress tolerance during carrot seed germination, the first measure of HTI, and the first correlation calculation between heat and salt tolerance during germination in carrot.
Transcription as a tool for understanding: The Berkeley Transcription System for sign language research (BTS)

Transcription is the very start of a linguistic analysis of a corpus. In this respect, the transcribing of sign language data is not different from transcribing data from any other language, although systematic linguistic research on sign language is less than half a century old. Stokoe’s “cherology” (sign phonetic/notational system) appeared in 1960. This means that there is hardly any notational tradition to build on. Although Miller (1994) has provided the field with family trees of notational systems, including more recent technologically based ones, the basic problem is that there is hardly agreement on what constitutes a linguistic unit in sign languages.
LEARNING TO USE A DIGITAL WORKBENCH TO DEVELOP COMPETENCE-BASED TESTS IN VOCATIONAL EDUCATION: GUIDED OR EXPLORATIVE?

This study arises from the question of how learners experience different learning arrangements while learning to develop competence-based tasks with a new digital workbench. The study compares a guided arrangement with worked examples to an exploratory learning scenario. Leading questions for the design of the study and analysis are as follows: Does the guided group develop more tasks? Does the explorative group test more functionalities of the digital workbench? Does the guided group report lower cognitive load and a more positive attitude toward the workbench? The analysis of the elements created within the workbench reveals that the guided group was able to develop more tasks, while there was no difference in quality. The data show that the explorative group was able to test more functionalities; however, the difference was not significant. The results of the questionnaire show that the overall cognitive load also did not differ significantly. There are differences in the scales, which are discussed more deeply in this article. Regarding the further use of the digital workbench 1 , both groups report a positive attitude. It can be concluded that learning to use a new digital environment for developing examination tasks should be supported; however, the form of guidance can be subject to further investigation.
Improving quality of dried hardwood

This thesis contains three sections of work. The first section of this work is principally aimed at producing resistance and capacitance type meter species correction data for a commercially popular species of Tasmanian Eaucalypt, Eaucalyptus delegatensis. The resistance type meter correction data obtained deviate from those values given in the Australian Standard. Differences in resistance meter electrode placement are assumed to be the cause of the deviations. Regression trendlines obtained for the capacitance-type moisture meters were shown to have a lesser degree of accuracy than those for the resistance-type moisture meters due to the effects of density. The practice of measuring the average moisture content at a depth of 115th of the thickness of a board using insulated probes in conjunction with resistance-type moisture meters was reinforced. The second part of this project involved work on a solar kiln situated at Kelly's Timber - Dunally. The purpose of the work was to try and improve the drying efficiency of the kiln and monitor it's progress throughout the drying process. Three drying trials were performed. A full schedule was provided for one of the trials where green sawn timber was fully dried to EMC. The success of the schedule was tainted by the poor quality of the timber before the drying process began. Air flow was improved throughout the kiln by the use of appropriate baffling and racking of the timber as recommended by the author. The temperature distribution and humidity control inside the kiln was found to be satisfactory. The final section of this research involved improving the drying efficiency of three Tasmanian industrial timber drying kilns. This work is still currently underway at the time of writing this thesis. Written reports have been submitted to the appropriate personnel regarding recommendations made from initial investigations. These reports are appended to this thesis.