Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Growth, Photosynthetic Pigments, and Osmolytes Analysis of Hemp (Cannabis sativa L.) Seedlings under an Aeroponics System with Different LED Light Sources

The performance of hemp seedlings was evaluated through morphological traits, photosynthetic pigments, and osmolytes under 11 light treatments (10 LED light compositions + natural light) in an aeroponics system. The seedlings were brought under treatment at 25 days of age, where the light intensity was 300 µmol m−2s−1 and duration was 20 days. A higher leaf number and node number were observed in L10 (R4:B2:W2:FR1:UV1) and L11 (R2:B2:G2:W2:FR1:UV1), and a higher leaf length and leaf width were recorded in the L2 (white), L3 (R8:B2), and L5 (R7:B2:FR1) treatments. Furthermore, a higher shoot length was recorded in L3 (R8:B2), L6 (R6:B2:G1:FR1), and L9 (R6:B2:FR1:UV1) while roots developed more in the L1 (natural light), L5 (R7:B2:FR1), and L9 (R6:B2:FR1:UV1) treatments. On the other hand, the L3 (R8:B2) treatment manifested higher chlorophyll a, chlorophyll b, and photosynthetic quantum yield (Fv/Fm). The hierarchical clustering and heatmap analysis revealed that higher leaf numbers and node numbers resulted in bushy plants with shorter shoots and longer roots. A negative correlation was also observed in photosynthetic traits (pigments and fluorescence) with osmolytes and root length. Importantly, the treatments L4 (R7:B2:G1), L6 (R6:B2:G1:FR1), L8 (R5:B2:G1:FR1:UV1), and L11 (R2:B2:G2:W2:FR1:UV1) manifested higher nodes with a higher osmolyte content, such as proline, ascorbic acid, total soluble carbohydrate, and sucrose, which may be a helpful indicator for higher branches and inflorescences, and ultimately higher cannabinoids accumulation in the plants. The approach and findings of this study could provide future research with the baseline information on optimizing the light composition to produce hemp plants with ideal phenotypes.
Impact of Internet Pornography on Chinese Teens: The Third-Person Effect and Attitudes Toward Censorship

Based on the third-person effect hypothesis–people’s belief that the media influences others more than it influences themselves–we administered a questionnaire to Chinese teens (N = 1,538) to discover the impacts of exposure to internet pornography on perceptions of pornography and attitudes toward censorship of pornography. The results validated the third-person effect hypothesis and showed that teens’ subjective perceptions of what constitutes internet pornography and their exposure to it are critical variables for predicting perceptions of negative impacts of pornography on self and others and affirmative attitudes toward censorship. The study also found that the impact on self is the best variable for predicting attitudes toward censorship. The discussion is framed in the context of Chinese collective culture and conservative attitudes toward sex.
Atrazine neural and reproductive toxicity

Abstract Atrazine is one of the common herbicides with an annual usage of 70,000–90,000 tons worldwide. Due to its long half-life (>60 days), atrazine persists in water and soil for long-term periods. This herbicide induces oxidative stress, inflammation, mitochondrial dysfunction and apoptosis in the exposed cells. It also passes the biological barriers, such as the blood-brain barrier and the blood-testis barrier. This review discusses, in detail, atrazine's detrimental effects on the different parts of the brain, including the cerebral cortex, hippocampus, substantia nigra, striatum, and cerebellum. Moreover, the current knowledge regarding the atrazine's effects on the reproductive system is also discussed.
The Impact of Covid-19 On Maternal Delivery Experiences and Breastfeeding Practices in China: A Cross-Sectional Study

Background The COVID-2019 pandemic has placed extensive pressure on health systems and posed a severe public health challenge worldwide. Lockdown measures implemented in many countries have delayed virus spread. However, a considerable number of people have faced unprecedented pressure, especially the pregnant and breast-feeding women, because face-to‐face professional support has been reduced during the lockdown in many countries. Objectives To compare the delivery and infant feeding experiences of women who delivered before (BL) versus during (DL) the Covid-19 pandemic in Beijing, China. Methods Women aged ≥ 18 years with an infant ≤ 18 months of age completed an anonymous survey. Information/links were shared online and via local clinics in Beijing. Logistic regression was performed to assess predictors of breastfeeding during the first 6-months. Results 2233 women provided data; BL 1241 (55.6%), DL 992 (44.4%). The 6-month mostly breastfeeding (MBF, mainly breastfeeding with few non-formula fluids added) rate was significantly higher in the DL mothers (71.6%), compared to the BL mothers (60.6%). MBF was predicted by delivery during the lockdown period (OR1.42, 95% confidence interval 1.06, 1.90), younger maternal age, discussing infant feeding in a feeding support group, and getting support from friends or relatives. Moreover, relative to those little affected by COVID, those who were much affected were less likely to MBF. Conclusion The COVID-19 pandemic and lockdown measures influenced mothers’ planned birth location and breastfeeding intention. However, breastfeeding practice was maintained during the pandemic. The reported breastfeeding rates were high and our results highlight the importance of feeding support as well as potential beneficial effects of increased mother-infant contact during the lockdown period which is relevant even under normal circumstances.
SOLPS-ITER validation with TCV L-mode discharges

This work presents a quantitative test of SOLPS-ITER simulations against tokamak a configuration variable (TCV) L-mode experiments. These simulations account for drifts, currents, kinetic neutrals, and carbon impurities providing the most complete edge transport simulations for TCV to date. The comparison is performed on nominally identical discharges carried out to assess the effectiveness of TCV's divertor baffles in the framework of the European Plasma Exhaust program and employs numerous edge diagnostics providing a detailed code-experiment benchmark for TCV. The simulations show a qualitative consistency, but the quantitative differences remain, which are assessed herein. It is found that, for a given separatrix density, the simulations most notably yield a colder, and denser, divertor state with a higher divertor neutral pressure than measured.
High-Resolution UAV Imagery for Field Olive (Olea europaea L.) Phenotyping

Remote sensing techniques based on images acquired from unmanned aerial vehicles (UAVs) could represent an effective tool to speed up the data acquisition process in phenotyping trials and, consequently, to reduce the time and cost of the field work. In this study, we assessed the ability of a UAV equipped with RGB-NIR cameras in highlighting differences in geometrical and spectral canopy characteristics between eight olive cultivars planted at different planting distances in a hedgerow olive orchard. The relationships between measured and estimated canopy height, projected canopy area and canopy volume were linear regardless of the different cultivars and planting distances (RMSE of 0.12 m, 0.44 m2 and 0.68 m3, respectively). A good relationship (R2 = 0.95) was found between the pruning mass material weighted on the ground and its volume estimated by aerial images. NDVI measured in February 2019 was related to fruit yield per tree measured in November 2018, whereas no relationships were observed with the fruit yield measured in November 2019 due to abiotic and biotic stresses that occurred before harvest. These results confirm the reliability of UAV imagery and structure from motion techniques in estimating the olive geometrical canopy characteristics and suggest further potential applications of UAVs in early discrimination of yield efficiency between different cultivars and in estimating the pruning material volume.
Perceived stress, resources and adaptation in relation to the COVID‐19 lockdown in Spanish foster and non‐foster families

Abstract The lockdown imposed as a result of the COVID‐19 pandemic has placed unprecedented stress on families. The family is a key system in relation to child development, and when birth families are unable to meet their child's needs, foster carers become an important source of support in their development. The Double ABC‐X Model of family stress and adaptation considers that a family's capacity to cope with stressful situations is influenced by pile‐up of stressors, family resources and perception of the situation. Following this model, the study aimed to determine the impact of the COVID‐19 lockdown on family stress and functioning. The sample comprised 347 Spanish adults (100 with foster families and 247 with non‐foster families) who completed a survey during lockdown. The results showed that certain sociodemographic variables (gender, income, working from home, characteristics of the home and children with special educational needs) were associated with stressors during lockdown, perception of the lockdown, and family adaptation to stress during lockdown. Associations were also found between stressors, family resources, perception of lockdown, and family adaptation in foster and non‐foster families, with the former having a more positive perception of the lockdown experience. The relevance of the results and their implications are discussed.
Valuing Cattle Manure as an Agricultural Resource for Efficiency and Environmental Sustainability

Within a context of beef feedlots and feed-crop production systems, we surveyed farmers to identify their perceived monetary value for the manure they used or could have used. Value is contextual with respect to a number of socio-economic, environmental, regulatory, and physical factors, which influence farmer’s inclinations about how they manage manure. The most desirable manure management strategies are likely practiced by those who perceive its value highest, and, conversely, the least desirable manure management strategies are likely practiced by those who assign the lowest value to it. This study considered factors that affect or relate to farmer perceptions of manure’s value. Using quantile regression, we observed variations in how farmers perceived the value of manure, considering farm and farmer characteristics, farming practices, select preferences, and whether or not they used manure on their own cropland. For example, we found that livestock producers who grow feed for their own cattle value manure differently compared to crop producers who do not manage cattle, most likely due to perceived need. Added years of experience in farming lowered the farmer’s perception of manure’s value. Additionally, extra tillage required when using manure was seen by farmers not as a burden but rather as a benefit.
Effects of practical hobbies on children’s device usage and media addiction in Korea

ABSTRACT The aim of this study was to explore the effects of children’s environments on their device usage, specifically whether engagement in practical hobbies (musical instruments, sports) or the presence of pets in their surroundings would play significant part in children’s PC and smart phone usage and media addition in general. The study data were taken from the Panel Study on Korean Children for the 11th year, and the specific subjects were 1,434 fourth-grade children (male 730, female 704). The study results are as follows. First, the extent of playing games on devices showed a positive correlation with media addiction, and moderator variables (presence of pets, playing musical instruments, and sports) had a negative correlation with media addiction. Second, playing a musical instrument significantly moderated the relationship between device usage for games and media addiction.
A High-throughput, Robotic System for Analysis of Aerosol Sampling Filters

The determination of accumulated mass on filter-based aerosol samples is the basis for many forms of scientific research and regulatory monitoring of air quality. However, gravimetric analysis of air sampling filters is tedious, time-intensive, and prone to human error. This work describes the development of an Automated Air Analysis Facility (AIRLIFT) for high-throughput gravimetric mass and optical black carbon measurements of filter-based aerosol samples. The AIRLIFT consists of a sealed environmental enclosure, a 6-axis articulating robotic arm, a programmable control system, a filter weighing apparatus, and an optical system for the determination of aerosol black carbon via light attenuation. The system actively monitors microbalance stability and chamber relative humidity. Digital imaging and QR code scanning support sample tracking and data logging. Performance metrics for temperature and humidity control and weight stability were found to meet or exceed minimum requirements set forth by the US Environmental Protection Agency. The AIRLIFT is capable of analyzing approximately 260 filters per day while reducing the required personnel time by a factor of ~4.
Variations of external workload across a soccer season for starters and non-starters

The aims of this study were to (i) analyze within-group (starters and non-starters) for the weekly acute (wAW), chronic (wCW), and acute:chronic workload ratio (wACWR) throughout the pre-, early-, mid-, and end-season periods, and (ii) analyze the within-group differences for the weekly total distance (wTD), sprint total distance (wSTD), high-speed running distance (wHSRd), and repeated sprint (wRS) throughout the soccer season. The study included a professional soccer team that participated in the highest level of the Iranian Persian Gulf Pro League during a full season. A Global Positioning System was used for data collection during the study. Results revealed significant differences between season periods for wAW and wACWR for both starters (wAW: p = 0.003, ηP2 = 0.541; wACWR: p < 0.001, ηP2 = 0.964) and non-starters (wAW: p < 0.001, ηP2 = 0.696; wACWR: p < 0.001, ηP2 = 0.943). Only non-starters had meaningful differences for wCW (p = 0.009, ηP2 = 0.408). There were significant differences in wTD and wSTD for both starters (wTD: p < 0.001, ηP2 = 0.810; wSTD: p = 0.014, ηP2 = 0.457) and non-starters (wTD: p < 0.001, ηP2 = 0.895; wSTD: p < 0.001, ηP2 = 0.781). Only non-starters showed significant differences (p < 0.001, ηP2 = 0.722) for wRS, while both groups showed no significant differences for wHSRd. In conclusion, these results revealed that both groups experienced significant differences in wAW, wACWR, wTD, and wSTD, while non-starters presented significant differences in wCW and wRS. Coaches should consider these group differences when planning training sessions. Exposure to wSTD and wRS should be addressed for non-starters, as well as fatigue monitoring for starters, especially for players with full match participation.
A Novel Framework for Mining Social Media Data Based on Text Mining, Topic Modeling, Random Forest, and DANP Methods

The huge volume of user-generated data on social media is the result of the aggregation of users’ personal backgrounds, past experiences, and daily activities. This huge size of the generated data, the so-called “big data,” has been studied and investigated intensively during the past few years. In spite of the impression one may get from the media, a great deal of data processing has not been uncovered by existing techniques of data engineering and processing. However, very few scholars have tried to do so, especially from the perspective of multiple-criteria decision-making (MCDM). These MCDM methods can derive influence relationships and weights associated with aspects and criteria, which can hardly be achieved by traditional data analytics and statistical approaches. Therefore, in this paper, we aim to propose an analytic framework to mine social networks, feed the meaningful information via MCDM methods based on a theoretical framework, derive causal relationships among the aspects of the theoretical framework, and finally compare the causal relationships with a social theory. Latent Dirichlet allocation (LDA) will be adopted to derive topic models based on the data retrieved from social media. By clustering the topics into aspects of the social theory, the probability associated with each aspect will be normalized and then transformed to a Likert-type 5-point scale. Afterwards, for every topic, the feature importance of all other topics will be derived using the random forest (RF) algorithm. The feature importance matrix will be transformed to the initial influence matrix of the decision-making trial and evaluation laboratory (DEMATEL). The influence relationships among the aspects and criteria and influence weights can then be derived by using the DEMATEL-based analytic network process (DANP). The influence weight versus each criterion can be derived by using DANP. To verify the feasibility of the proposed framework, Taiwanese users’ attitudes toward air pollution will be analyzed based on the value–belief–norm (VBN) theory by using social media data retrieved from Dcard (dcard.tw). Based on the analytic results, the causal relationships are fully consistent with the VBN framework. Further, the mutual influences derived in this work that were seldom discussed by earlier works, i.e., the mutual influences between altruistic concerns and egoistic concerns, as well as those between altruistic concerns and biosphere concerns, are worth further investigation in future.
Ocean Dust Deposition Rates Constrained in a Data‐Assimilation Model of the Marine Aluminum Cycle

Aluminum (Al) is delivered to surface ocean waters by aeolian dust, making it a promising tracer to constrain dust deposition rates and the atmospheric supply of trace metal micronutrients. Over recent years, dissolved Al has been mapped along the GEOTRACES transects, providing unparalleled coverage of the world ocean. However, inferring atmospheric input rates from these observations is complicated by a suite of additional processes that influence the Al distribution, including reversible particle scavenging, biological uptake by diatoms, hydrothermal sources, sediment resuspension. Here we employ a data‐assimilation model of the oceanic Al cycle that explicitly accounts for these processes, allowing the atmospheric signal to be extracted. We conduct an ensemble of model optimizations that test different dust deposition distributions and consider spatial variations in Al solubility, thereby inferring the atmospheric Al supply that is most consistent with GEOTRACES observations. We find that 37.2 ± 11.0 Gmol/yr of soluble Al is added to the global ocean, dominated in the Atlantic Ocean, and that Al fractional solubility varies strongly as a function of atmospheric dust concentration. Our model also suggests that 6.1 ± 2.4 Gmol Al/yr is injected from hydrothermal vents, and that vertical Al redistribution through the water column is dominated by abiotic reversible scavenging rather than uptake by diatoms. Our results have important implications for the oceanic iron (Fe) budget: based on the soluble Fe:Al ratio of dust, we infer that aeolian Fe inputs lie between 3.82 and 9.25 Gmol/yr globally, and fall short of the biological Fe demand in most ocean regions.
Impact of One Additional Substitution on Player Load and Coaching Tactics in Elite Football

Professional football players, coaches, and researchers have discussed additional substitutions in football to reduce player load for a while. However, the effects of additional substitutions on the game have not yet been investigated in detail. The aim of this paper is to determine whether an additional substitution in (1) extra time and (2) regular time would be beneficial and would lead to (a) greater tactical influence of coaches on the match, (b) load reduction during one match, and (c) load reduction during one season. The methodological approach adopted includes two studies, both of which involve data analysis of substitution times (Study 1: n = 3060; Study 2: n = 1153) as well as a survey of football coaches (Study 1: n = 37; Study 2: n = 25). For assessing the effect of an additional substitution in regular time and in extra time, the substitutions made in the Bundesliga, U19-Bundesliga West, DFB-Cup, and 2018 World Cup were evaluated. The findings of this research clearly indicate the potential of an additional substitution by enabling almost 50% of additional load reduction in regular time and 27% in extra time. However, in practice, the findings showed the limits of an additional substitution in extra time on long-term load reduction.
The Relationship between Cyclic Multi-Scale Self-Organized Processes and Wear-Induced Surface Phenomena under Severe Tribological Conditions Associated with Buildup Edge Formation

This paper presents experimental investigations of various interrelated multi-scale cyclic and temporal processes that occur on the frictional surface under severe tribological conditions during cutting with buildup edge formation. The results of the finite element modeling of the stress/temperature profiles on the friction surface are laid out. This study was performed on a multilayer coating with the top alumina ceramic layer deposited by CVD (chemical vapor deposition) on a WC/Co carbide substrate. A detailed analysis of the wear process was conducted by 3D wear evaluation, scanning electron microscopy/energy-dispersive X-ray spectroscopy (SEM/EDS) and electron backscattered diffraction (EBSD), as well as X-ray photoelectron spectroscopy (XPS) methods. The following cyclic phenomena were observed on the surface of the tribo-system during the experiments: a repetitive formation and breakage of buildups (a self-organized critical process) and a periodical increase and decrease in the amount of thermal barrier tribo-films with a sapphire structure (which is a self-organization process). These two processes are interrelated with the accompanying progression of cratering, eventually resulting in the catastrophic failure of the entire tribo-system.
A Novel Model for Detecting Urban Fringe and Its Expanding Patterns: An Application in Harbin City, China

Urban fringe is an active expanding belt, indicating urban-rural interaction processes. Previous studies have attempted to define urban fringe as the transitional area between urban and rural areas, but there is a lack of quantitative analysis of the periphery boundaries. We developed a novel, the Spatial Segmentation Model (SSM), to detect the extent of urban fringe via calculating the share of the built-up land. Within the urban fringe, we statistically compared the number of built-up patches in each direction and described four urban expanding patterns (stable, sprawling, leaping, and mixing patterns) indicated by the empirical analysis. The results show that this model can reliably detect the urban fringe and could reveal urban growth characteristics. We find the spatial territory changes are highly relative with transport infrastructures in Harbin. Meanwhile, the roads density in the urban core are higher than in the urban fringe. Especially for city roads, roads density in the urban core is more than 4 times higher than in the urban fringe. The growth of the urban fringe is closely related to the development of social economies as well as the space policies and development plans designed by governments. Similar to the post-industry cities worldwide, Harbin should take action to address population decline. Effective land-use and suitable urban growth strategies play an important role in alleviating urban shrinkage. Thus, understanding the dynamics, urban expanding patterns, and driving factors in the urban fringe can help us form a basis for future urban development.