Miracle-dz/UniFAR-FTUs huggingface dataset:
Prenatal paternal anxiety symptoms predict child DHEA levels and internalizing symptoms during adrenarche

Introduction This study examined (1) whether measures of paternal anxious and depressive symptoms collected prenatally and during a follow-up assessment when the child was in middle childhood, predict child neuroendocrine outcomes, and (2) whether neuroendocrine outcomes are intermediate factors between paternal mental health and child cognitive/behavioral outcomes. Middle childhood coincides with increased autonomy as the child transitions into grade school, and with adrenarche, as the maturing adrenal gland increases secretion of dehydroepiandrosterone (DHEA) and its sulfated metabolite (DHEA-S), hormones that are implicated in corticolimbic development which regulate emotions and cognition. Methods Participants were recruited from a subsample of a large prospective birth cohort study (3D study). We conducted a follow-up study when children were 6–8 years old (N = 61 families, 36 boys, 25 girls). Parental symptoms of anxiety, stress and depression were assessed via validated self-report questionnaires: prenatally using an in-house anxiety questionnaire, the Perceived Stress Scale (PSS) and the Center for Epidemiologic Studies Depression (CES-D), and at the follow up, using the Beck Anxiety and Beck Depression Inventories. Children provided salivary hormone samples, and their pituitary gland volume was measured from structural Magnetic Resonance Imaging (MRI) scans. Child behaviors were measured using the Strengths and Difficulties Questionnaire and cognitive outcomes using the WISC-V. Multiple regression analyses were used to test whether paternal mental health symptoms assessed prenatally and during childhood are associated with child neuroendocrine outcomes, adjusting for maternal mental health and child sex. Indirect-effect models assessed whether neuroendocrine factors are important intermediates that link paternal mental health and cognitive/behavioral outcomes. Results (1) Fathers’ prenatal anxiety symptoms predicted lower DHEA levels in the children, but not pituitary volume. (2) Higher prenatal paternal anxiety symptoms predicted higher child internalizing symptoms via an indirect pathway of lower child DHEA. No associations were detected between paternal anxiety symptoms measured in childhood, and neuroendocrine outcomes. No child sex differences were detected on any measure. Conclusion These results highlight the often-overlooked role of paternal factors during pregnancy on child development, suggesting that paternal prenatal anxiety symptoms are associated with child neuroendocrine function and in turn internalizing symptoms that manifest at least up to middle childhood.
Rolling Horizon Approach for Real-Time Charging and Routing of Autonomous Electric Vehicles

The adoption of autonomous electric vehicles (AEVs) offers an opportunity to decarbonize the transportation sector while eliminating the human errors in driving accidents. However, adopting AEVs may impose challenges to the operation of power distribution systems to ensure the availability of power for charging a growing number of AEVs at different times and locations. This paper takes an opportunistic look at this problem and develops a rolling horizon model for coordinating the operation of electric autonomous ride-hailing systems with power distribution systems. The proposed model incorporates the most recent real-time information and the future expected value of energy level, spatial and temporal location of AEV fleet, traffic data, and passenger demand. Using this data, the proposed model adopts a rolling horizon approach to optimize the routing of AEVs to serve spatio-temporal passenger demand across the transportation network, while optimizing the time and location of AEVs charging to ensure the availability of energy to serve the passenger demand, and satisfying the operational constraints of the power distribution system. The proposed model is implemented on a test transportation system, coupled with the IEEE 33-bus test power distribution system. The numerical results demonstrate the capability of the proposed model in ensuring the reliability and quality of service for both electric autonomous ride-hailing and power distribution systems.
Transformative Pedagogy as a Reflective Approach for Promoting Intercultural Self-Awareness in the Context of Teamwork

This study implemented transformative pedagogy as a reflective approach to promote intercultural self-awareness and its potential consequences in the context of teamwork. The context was a second-year systems analysis and design course with 118 students in the fall 2021 semester and 155 students in the spring 2022 semester. The research question was: What are students' beliefs regarding their own cultural values and the potential implications of those values on their teamwork interactions? Findings from the study indicate that students realized that team dynamics and values are crucial to team experience. We found that students believed that commitment to the team and communication of values contributed to the experience of teamwork and teamwork success. Students also believed that coming together and making decisions together in a collectivistic manner would help the progress of the team.
Thermal processing of pomegranate seed oils underscores their antioxidant stability and nutritional value: Comparison of pomegranate seed oil with sesame seed oil

Abstract In the present study, the oxidative stability and antioxidant activity of seed oils were investigated in three Iranian pomegranate cultivars, Shirin Khafr, Torsh Sabz, and Rabab, along with the sesame (Sesamum indicume L. cv Dezful) seed oil. Punicic acid was the primary fatty acid in the pomegranate seed oils, with contents ranging from 75.5 to 80.9% (w/w). The tocopherol levels in pomegranate seed oils ranged from 1439 to 2053 mg/kg, whereas the phenolics ranged from 130 to 199.3 mg/kg, respectively. Comparatively, in the seed oil of sesame “Dezful,” these substances' contents were 1053 and 79 mg/kg, respectively. Contrary to common perception, the seed oil of the three pomegranate cultivars cultivated in Iran had high oxidative stability and antioxidative activity during the 32 h of thermal processing at 170°C. The oxidation stability assayed by peroxide value, p‐anisidine value, and TOTOX index revealed that the pomegranate seed oils had a much higher resistance to the oxidation process than the sesame oil. The content of tocopherols increased during thermal processing due to the regeneration phenomenon. Tocopherols are not always free and may form a matrix with themselves or other compounds. Changes in the antioxidant activity during the thermal processing assessed by DPPH free radical scavenging power and by the FRAP test were consistent with those for the antioxidants. Therefore, these oils can be added to other edible oils as a natural antioxidant to improve their oxidative stability.
A High PSRR CMOS Voltage and Current Reference in One Circuit Without Amplifier for Low Power Applications

This paper presents a low power voltage reference and current reference in one circuit. The reference voltage is the sum of the complementary to absolute temperature (CTAT) gate-source voltage of a MOSFET operating in the subthreshold region and a scaled version of the proportional to absolute temperature (PTAT) $\Delta \mathrm{V}_{\mathrm{G}\mathrm{S}}$ of two MOSFETs operating in subthreshold region. The generated temperature independent reference current is the ratio of the reference voltage and a resistance. The proposed circuit does not use an operational transconductance amplifier (OTA) to generate the reference current, thereby eliminates the variation in current due to any offset of the OTA. Furthermore, the circuit uses a native MOSFET for ameliorating the DC PSRR. The proposed circuit is designed in a 130nm CMOS process. The circuit works with a minimum supply voltage of 1. 2V while generating a reference voltage of around 0. 7V and a reference current of around 100nA. A TC of 100 ppm/°C for the reference voltage and a TC of 108 ppm/°C for the reference current are noted for mismatch and process variations from Monte-Carlo simulations for 300 samples. The circuit consumes only 240nW of power, which makes it suitable for ultra-low power applications.
Sustainable graphitic carbon from biomass to be suitable for technological devices

Technological devices are mostly manufactured by conductive and semiconductive materials. As advancement in the last decades, carbon nanomaterials have been explored in electrical/electronic technology due to their unique performances for manufacturing developing, and prudential miniaturized and flexible electrical/electronic devices. In the era of sustainable and clean carbon technology; renewable, alternative, biodegradable, and eco-friendly new carbon resources are required. Biomass could be the answer to offer inspiring carbon allotropes from nature to be suitable for developing electrical/electronic devices. In this article, deriving of the technological carbonaceous material from biomass, studies although they are very limited in the literature on obtaining the electrical conductive ones and the progress as electrical conductive renewable material are presented.
New insights in the Spanish gene pool of olive (Olea europaea L.) preserved ex situ and in situ based on high-throughput molecular markers

In Spain, several local studies have highlighted the likely presence of unknown olive cultivars distinct from the approximately 260 ones previously described in the literature. Furthermore, recent advancements in identification techniques have significantly enhanced in terms of efficacy and precision. This scenario motivated a new nationwide prospecting effort aimed at recovering and characterizing new cultivated germplasm using high-throughput molecular markers. In the present study, the use of 96 EST-SNP markers allowed the identification of a considerable amount of new material (173 new genotypes) coming from areas with low intensification of production in different regions of Spain. As a result, the number of distinct national genotypes documented in the World Olive Germplasm Bank of IFAPA, Córdoba (WOGBC-ESP046) increased to 427. Likewise, 65 and 24 new synonymy and homonymy cases were identified, respectively. This rise in the number of different national cultivars allowed to deepen the knowledge about the underlying genetic structure. The great genetic variability of Spanish germplasm was confirmed, and a new hot spot of diversity was identified in the northern regions of La Rioja and Aragon. Analysis of the genetic structure showed a clear separation between the germplasm of southern and northern-northeastern Spain and indicated a significantly higher level of admixture in the latter. Given the expansion of modern olive cultivation with only a few cultivars, this cryptic germplasm is in great danger of disappearing. This underlines the fact that maintaining as many cultivars as possible will increase the genetic variability of the olive gene pool to meet the future challenges of olive cultivation.
Assessing extratropical impact on the tropical bias in coupled climate model with regional coupled data assimilation

The tropical bias of double‐Intertropical Convergence Zone (ITCZ) has been a persistent feature in global climate models. It remains unclear how much of it is attributed to local and remote processes, respectively. Here we assess the extratropical influence on the tropical bias in a coupled general circulation model dynamically, systematically, and quantitatively using the Regional Coupled Data Assimilation (RCDA) method. RCDA experiments show that the model's double‐ITCZ bias is improved systematically when sea surface temperature, air temperature, and wind are corrected toward real‐world data from the extratropics into the tropics progressively. Quantitatively, the tropical asymmetry bias in precipitation and surface temperature is reduced by 40% due to extratropical impact from outside of ~25°. Coupled dynamics, as well as atmospheric and oceanic processes, play important roles in this extratropical‐to‐tropical teleconnection. Energetic analysis of cross‐equatorial atmospheric energy transport and equatorial net energy input are used to explain the changes in the precipitation bias.
Multi-Physics Coupled Analysis and Global Optimization of High Power Density Permanent Magnet Machines

High power density machines have attracted increasing attention, but they are reaching the thermal and mechanical limits of the materials, bringing challenges to the machine designs. In this paper, a reliable and effective multi-physics coupling analysis is integrated to the global optimization based on genetic algorithm, to improve the optimization efficiency. The basic modeling on fluid, temperature, electromagnetic, and mechanical fields are introduced, and their couplings as well as the general optimization process are highlighted. Afterwards, a cased study based on the surface-mounted permanent magnet (SPM) machine with the rated power of 15 kW at the speed of 20000 r/min is detailed to describe the optimization process.
Microbial community composition of terrestrial habitats in East Antarctica with a focus on microphototrophs

The Antarctic terrestrial environment harbors a diverse community of microorganisms, which have adapted to the extreme conditions. The aim of this study was to describe the composition of microbial communities in a diverse range of terrestrial environments (various biocrusts and soils, sands from ephemeral wetlands, biofilms, endolithic and hypolithic communities) in East Antarctica using both molecular and morphological approaches. Amplicon sequencing of the 16S rRNA gene revealed the dominance of Chloroflexi, Cyanobacteria and Firmicutes, while sequencing of the 18S rRNA gene showed the prevalence of Alveolata, Chloroplastida, Metazoa, and Rhizaria. This study also provided a comprehensive assessment of the microphototrophic community revealing a diversity of cyanobacteria and eukaryotic microalgae in various Antarctic terrestrial samples. Filamentous cyanobacteria belonging to the orders Oscillatoriales and Pseudanabaenales dominated prokaryotic community, while members of Trebouxiophyceae were the most abundant representatives of eukaryotes. In addition, the co-occurrence analysis showed a prevalence of positive correlations with bacterial taxa frequently co-occurring together.
Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild

Visual place recognition is one of the core modern computer vision tasks concerned with identifying location based on the image taken there. Modern state-of-the-art approaches heavily rely on RGB images which are largely affected by changes in the same scene such as varying daytime, illumination, seasonal changes, and presence of dynamic objects (people, vehicles). This results into a large difference between the images in the training dataset and the ones taken by a person in real life at the same place as a part of some application, rendering modern approaches less effective. To deal with this problem, we propose a novel approach that uses only geometrical information (shapes of buildings, terrains, trees, and their relevant positions) obtained from depth and semantic maps inpainted to remove dynamic objects. In this paper, we study two versions of the pipeline: the first one uses direct inpainting, and the second utilizes synthetic data to improve the inpainting process. Our most efficient model achieved 60.6% correct answers with synthetic refinement. With direct inpainting, it kept metrics high at 51.1%. With these compelling results, our approach offers a novel and effective alternative to known algorithms, making it an exciting avenue for future research in visual place recognition.
PENGABDIAN MASYARAKAT PENYULUHAN PERAKITAN LAMPU PENERANGAN BERTENAGA SURYA KEPADA MASYARAKAT NAMBANGAN

Kampung Nambangan Perak is located in Kelurahan Kedung Cowek, Bulak District, Surabaya, East Java. The majority of Nambangan residents work as fishermen. The Nambangan community is still unfamiliar with the use of alternative energy such as solar cells to replace fuel oil. The road access of village environment was only illuminated independently by installed map of people’s residents. The dim road conditions can cause a sense of alertness to residents and road users who spent the night. In addition, the installation of lamps with greater power can burden the economy of residents due to rising electricity prices. Based on field observations and direct interviews with local residents, there were three focuses aspects of this community service program, namely the introduction of alternative energy to residents, installation and guidance of lamp maintenance equipped with solar panels. Along with the implementation of guidance and education program for the Nambangan community, it is hoped that the residents will understand and feel familiar with the availability of alternative energy. The residents are also expected to be able to apply the use of alternative energy in their daily life. In addition, residents are expected to be able to carry out the process of assembling and maintaining alternative energy sources, especially solar panels.
A Systematic Mapping of Affective Intelligent Tutor Systems in Engineering Education

This full research paper presents a systematic mapping of applications of affective intelligent tutor systems in engineering education. These systems employ techniques such as self-questionnaires, voice or facial recognition, system usage tracking, or combinations of these approaches. The data collection occurs through the sensors that measure input from devices, such as microphones, cameras, and body sensors. This paper presents a systematic mapping of affective intelligent tutoring systems in engineering courses and seeks to answer the following questions: Q1. Which engineering courses employ affective intelligent systems? ; Q2. What secondary or auxiliary technologies, if any, do the authors use in combination with affective tutoring systems? ; Q3. How do these studies perform emotion recognition? ; Q4. What emotions do these studies recognize? ; Q5. Which evaluation methods do the studies use? The research concentrated on primary sources, such as articles and conference proceedings published between 2010 and 2022 on established scientific databases, including ACM Digital Library, IEEE Xplore, Science Direct, and Springer. We identified 413 potential articles and narrowed the options down to 23 papers that fully matched the inclusion criteria. We contribute to the literature by answering the proposed questions and categorizing the existing papers to find directions for future research.
Extending the Usability of WebTA with Unified ASTs and Errors

Expanding autocritiquers to other languages requires the difficult task of obtaining and representing antipat-terns. Under the current framework, each language requires a unique Abstract Syntax Tree (AST) and error solution such that both the resulting AST and error summaries can be searched and presented to students. Often similar antipatterns arise that have to be rewritten in each language's own context. This paper proposes the creation of a generalized AST structure for an auto-critiquer under development, that can unify common code structures across similar languages while capturing differences in the languages. This work also proposes a standard for error message representation that can capture similar errors across language specific error messages. There are two motivations to standardizing AST and error message formats. Firstly, our solution allows for a standardized User Interface (UI) and easy integration of new languages with an identical on-boarding process for both professors and students. Secondly, reuse of antipatterns will allow us to skip the time-consuming step of constructing near-identical structural and logical antipattern queries as well as unifying novice based error feedback.
Effect of Hydrothermal Aging on Damping Properties in Sisal Mat-Reinforced Polyester Composites

Hydrothermal aging is a matter of considerable concern for natural fiber-reinforced polymers; it can alter dimensional stability and induce microcracks and macro strain on the composite structure. This study applied a sorption kinetic model and examined the effects of water on the damping factor of sisal mat-reinforced polyester composites. The experimental data were fitted well using a Boltzmann sigmoid function, suggesting a promising first step toward kinetic water sorption modeling. Additionally, a damping test was carried out using the impulse excitation technique, highlighting the composite material’s dynamic response under varying water absorption conditions. The result showed that damping exhibited sensitivity to water absorption, increasing significantly during the first 24 h of immersion in water, then remained steady over time, inferring a critical time interval. An empirical model proved satisfactory with the correlation coefficient for sorption rates and damping of sisal mat polymeric composites.
Mortality and heavy metals environmental exposure: a study in dogs

Introduction Dogs are human companions and share environmental conditions with their owners. Epidemiological studies have shown that dogs seem to be good sentinel animals for the association of diseases and/or mortality provoked by chronic exposure to heavy metals (Cd, Pb). Methods In the present work, we analyze the registered death cases and population from the National Canine Registry from 2020 to 2022, involving a dog population of 582,564 and 17,507 deaths. The mortality rate in male and not-purebred dogs is higher than in female and purebred dogs, respectively. The mortality cases were cross-referenced with the environmental pollution data relating to the concentration of Cd and Pb detected, between 2012 and 2022, in the various municipalities of the Liguria region. We then calculated SMR (Standardized Mortality Rate) throughout the region and found that mortality increases from the eastern to the western Ligurian coast. Results and discussion We observed that the most polluted areas present the highest SMRs (IRR = 1.36, 95%CI: from 1.31 to 1.41). Considering dog ages, we found that mortality in young dogs is not affected by pollution, while mortality in old dogs (10–20 years old) is heavily affected by it (IRR = 8.97, 95%CI from 8.09 to 9.93). In conclusion, the data suggest the importance of canine health and biomonitor studies and provide a basis for future research involving both animal and human health.