Miracle-dz/UniFAR-FTUs huggingface dataset:
Mode-locked and Q-switched fiber lasers with graphene oxide based saturable absorber

We review our work on a femtosecond erbium-doped all-fiber laser mode-locked with graphene oxide saturable absorber, which can be conveniently obtained from natural graphite by simple oxidation and ultra-sonication process. The laser directly generated 200 fs pulses at a repetition rate of 22.9 MHz. The stable passively Q-switched operation by graphene oxide saturable absorber in the 1 μm ytterbium-, 1.5 μm erbium-, and 2 μm thulium-doped fiber lasers will be demonstrated as well. These results are comparable with those of graphene saturable absorbers and the superiority of easy fabrication and hydrophilic property of graphene oxide will facilitate its potential applications for ultrafast photonics.
A Course on Rough Paths: With an Introduction to Regularity Structures

Introduction. - The space of rough paths. - Brownian motion as a rough path. - Integration against rough paths. - Stochastic integration and Ito's formula. - Doob-Meyer type decomposition for rough paths. - Operations on controlled rough paths. - Solutions to rough differential equations. - Stochastic differential equations. - Gaussian rough paths. - Cameron-Martin regularity and applications. - Stochastic partial differential equations. - Introduction to regularity structures. - Operations on modelled distributions. - Application to the KPZ equation.
Genetic and phenotypic characterization of Kuzi ducks of Odisha and evaluation of carcass quality

In the present investigation, the Kuzi ducks of Odisha were studied with respect to different phenotypic traits and genetic parameters measured for Juvenile traits from 1,718 ducklings hatched in three hatches using 40 sires and 160 dams reared under standard management conditions. Fertility, hatchability, juvenile traits, body weight gains and plumage characteristics were recorded. Carcass characteristics of the drakes were also measured at 20 weeks of age. The average fertility was 75.42% and hatchability on total egg set and fertile egg set basis were 61.79 and 82.10%, respectively. The body weight between male and female showed sexual dimorphisms with respect to body weight and conformation traits from 4th week onwards in Kuzi ducks. The least square body weight recorded at 8 weeks of age in male, female and pooled over sexes were 1,388, 1,231 and 1,282 g, respectively. Heritability estimates for different juvenile traits were moderate to high in magnitude for the traits studied. Body weight recorded at 20 weeks of age was 1,818 g in male and 1,628 g in female. Total edible carcass yield was 76.48% at 20 weeks of age in male. Multi-colour is found to be dominant plumage colour. The study revealed that Kuzi ducks of Odisha have very good potential for duck farming in the country and the body weight of the duck may be improved by selection of the birds and the drake (male) may be used for meat purpose. The growth of the ducklings was very fast from 2 to 8 weeks of age.
Local and long range polar order in the relaxor-ferroelectric compounds PbMg 1 / 3 Nb 2 / 3 O 3 and PbMg 0.3 Nb 0.6 Ti 0.1 O 3

Structural evolutions of PMN/PT10% (PbMg 0 . 3 Nb 0 . 6 Ti 0 . 1 O 3 ) and PMN (PbMg 1 / 3 Nb 2 / 3 O 3 ) are studied and compared using high-resolution x-ray and neutron diffraction. At high temperature, PMN-like diffuse scattering, associated with local disordered shifts, is evidenced by PMN/PT10%. A part of this intensity condenses at T c =285 K when PMN/PT10% exhibits a structural phase transition toward a long-range rhombohedral phase, whereas in PMN the polar order remains short ranged. In the ferroelectric phase of PMN/PT10% local [100] displacements of lead are evidenced, and are connected to the observation of diffuse scattering far below T c . The local symmetry in which oxygen and Ti/Mg/Nb cations are shifted along the [111] direction, but in which the lead atoms are shifted along one of the tetragonal [100] directions is monoclinic. This short-range polar order reconstructs on average a polar rhombohedral symmetry. A global picture for the structural evolution in the PMN/PT compounds is proposed. It is based on competition between rhombohedral and tetragonal polar order, which connects the relaxation properties of PMN and the high piezoelectric response of morphotropic monoclinic PMN/PT with a high concentration of PT.
Simulated Annealing Approach for Optimal Batching in a Warehouse

Order-picking in a warehouse is normally the most expensive operation as it takes the longest time. In conjunction with this, order batching is introduced to expedite the orders for the picking process. An optimized batching order is one of the methods to minimize the traveling path, which eventually reduces operation costs in a warehouse. This problem is known as the NP-hard problem (Nondeterministic Polynomial time), typically solved using metaheuristic approaches. One of the metaheuristic approaches is called Simulated Annealing (SA). The main purpose of this study is to propose a SA algorithm for solving this problem to optimize order batching so that it can minimize the total travel distance in a warehouse. Under the precedence of a randomly defined list of orders and a fixed warehouse layout, a simulation was done to investigate the performance of SA in batching solutions. This is done by using different sample sizes and evaluating the SA algorithm’s performance to batch orders compared to other existing batching methods. This research work found that SA method performs better than other existing batching methods such as Sort batching and First-Come First-Served (FCFS). From the results obtained, SA found the shortest distance for all different sample sizes compared to other existing batching methods, that is, by reducing the total distance by 64.27% and 15.46%, respectively, for FCFS method and Sort batching method. This proves that SA is efficient in reducing the total distance, and future implications of this method may be applied in advanced warehouse technology that uses drones or other robots.
The Recover Study: A Cross-Sectional Examination of the Relationship Between Ontario Parents’ Resilience and COVID-19-Related Stressors

Resilience, or the ability to bounce back despite facing adversities, may influence parents’ abilities to handle the multitude of parent-specific COVID-19-related challenges that have faced them. This cross-sectional study examined (1) the relationship between parents’ resilience and their COVID-19-related family stressors; (2) parents’ perceptions of their greatest stressors throughout the pandemic; and (3) non-school-related challenges and their resultant impact on parents’ and children's resilience. Via an online survey, data was collected from 63 parents (Mage = 37.09; 82.54% female). A significant relationship was found between parents’ resilience and both their COVID-19-related stressors and family stressors. Parents described stressors challenging their resilience, including impacts on their mental health, managing occupational and educational responsibilities, social isolation, and economic setbacks, while also noting the impacts of social isolation, missing extracurricular activities, and lacking routines for their children. Overall, Ontario parents high in resilience are likely better positioned to adapt to pandemic-related stressors.
Profiles of reading mindset and self-efficacy: how are they related to achievement goals, engagement, and reading achievement?

Abstract This study examined how self-beliefs, particularly reading mindset and self-efficacy, interact together to predict reading-specific achievement goals and engagement as well as reading achievement in fourth-grade students. Latent profile analysis identified three profiles (n = 206): Confident and Fixed Mindset, Moderately Confident and Neutral Mindset, and Confident and Growth Mindset. Compared to the Confident Growth Mindset profile, the Confident Fixed Mindset profile had higher performance goals and lower behavioural engagement and reading achievement. The Confident Fixed Mindset profile showed even lower reading achievement than the Moderately Confident and Neutral Mindset profile on school English/Language Arts grade and vocabulary performance. Lastly, the Confident Growth Mindset profile showed higher levels of behavioural and cognitive engagement than the Moderately Confident and Neutral Mindset profile. Overall, the effects of mindset supersede self-efficacy on reading-related outcomes, suggesting the importance of providing support that promotes a growth mindset before upper elementary students endorse a fixed mindset.
SOCIAL MEDIA AS A STRATEGIC CAPABILITY FOR STARTUPS AND THE MEDIATING ROLE OF SOCIAL CAPITAL

Social media have been widely adopted in various organizations. The use of social media for achieving business sustainability and financial outcomes has been addressed in the literature. In the entrepreneurship context, social media have received great attention as the platforms can be one of the cost-effective marketing activities and knowledge accumulation. Despite existing evidence regarding the impacts of social media, the study of social media in the startup’s context is limited. Based on the dynamic capabilities perspective, this study relied on data from 128 startups in the emerging economy’s context to investigate the importance of social media for startups. Particularly, the results from PLS-SEM support the significant influence of social media as firm’s strategic capability toward performance. In addition, social capital consisting of three dimensions – cognitive, structural, and relational – has been found to mediate the direct association of social media strategic capability toward the startup performance. This study advances the social media research on entrepreneurship as well as the dynamic capabilities perspective to enhance the startup’s sustainability through enhanced performance. Especially, it encourages the application of social media with the indirect effect of social capital for startups.
An Edge Filter Based Approach of Neural Style Transfer to the Image Stylization

Transferring artistic styles onto any image or photograph has become popular in industry and academia in recent years. The use of neural style transfer (NST) for image style transfer is getting more popular. Convolution Neural Networks (CNN) based style transfer provides a new edge and life to the images, videos, and games. The re-rendering procedure of the content of one image with the style of another using various models and approaches is widely used for image style transfer. However, there are many drawbacks, including image quality, enormous loss, unrealistic artefacts, and the style of localized regions being less compared to the desired artistic style. For the reason that transfer technique fails to capture detailed, miniature textures and keep the true artwork’s texture scales. We propose a multimodal CNN that stylizes hierarchically with several losses of increasing sizes while considering faithful representations of both colour and luminance channels. We may transfer not only large-scale, evident style cues but also subtle, exquisite ones by effectively handling style and texture cues at different sizes using various modalities. Our approach providing aesthetically pleasing results and is more comparable to multiple desirable creative styles using colour and texture cues at different scales.
Understanding synergies and tradeoffs between forests, water, and climate change

Understanding synergies and trade‐offs between forests, water, and climate change is warranted for designing effective policies and strategies for managing water and forests, which are essential for sustenance, ecological proliferation, and economic development. Forests are considered global storehouse of resources, functioning as ecosystem service providers, such as recyclers of terrestrial water to maintain quality and quantity of water but are constantly regulated by climatic parameters. These interlinkages are further complicated by the highly debated role of forests in water regulation and consumption, anthropogenic changes in land use, changing climatic patterns and their subsequent impacts on the hydrological cycle. However, policy and planning for natural resource management seldom consider the interrelationships between forest, water, and climate change due to lack of consensus, misrepresentations and difficult conversions of the complicated interactions to policy. We review and discuss the existing research on these interrelationships with different approaches using a range of hydrological, climatic, and land use indicators. We further suggest incorporating long‐term data for forest, water, and climate into conceptual, statistical, and stochastic models may yield better projections with fewer uncertainties rather than those focusing on linear interactions between paired components. Thus, there is a need for exploring these interactions holistically rather than in silos from the perspective of natural resource management particularly in developing nations such as India that have a pressing need to develop new and synergize existing strategies for sustainable management of forest and water under changing climatic variables.
Mercury: Full-disk radar images and the detection and stability of ice at the North Pole

The first full-disk radar images of Mercury were obtained on August 8 and 23, 1991. These images were constructed using the Very Large Array (VLA) in Socorro, New Mexico, to receive and map radar flux at 3.5 cm (X band) which was continuously transmitted from the 70-m Jet Propulsion Laboratory/Deep Space Network antenna at Goldstone, California. Approximately 77% of the surface was imaged, at resolutions as good as 150 km. About half of the hemisphere photographed by Mariner 10 was imaged, as well as most of the hemisphere which has not previously been photographed. At the time of the observations, the north pole was visible, and the feature with the highest same sense (SS) circular reflectivity in the images is near the nominal polar position. The peak SS reflectivity of this feature was 7.9%, and the circular polarization ratio throughout much of the feature is >1. Our best estimate of the size of the feature is that its diameter is ≲350 km. We interpret the feature to be indicative of the presence of ices because of the signal strength and polarization characteristics. The ices must be very clean and were thus probably deposited in a relatively short time period. The most likely place to find these ices is in any permanently shadowed areas in the polar regions, which would be very cold. In comparison to absolute reflectivities of other icy bodies and regions in the solar system, the reflectivity of the north polar feature is slightly depressed. This is probably because the ices do not fill an observational resolution cell (i.e., there is incomplete areal coverage), or are covered by a layer of dust or soil, which absorbs some of the incoming and outgoing radar energy, or both. A covering layer would also protect any ices from erosion by energetic sources. Other prominent features on the unphotographed hemisphere correspond to positions where atmospheric sodium enhancements have been measured from Earth. This may indicate that these locations are large basins similar to the Caloris basin, where an atmospheric potassium enhancement has been measured, which may be the result of increased degassing in the disrupted surface and near surface. Direct comparison of the radar echoes from our features with those from the Caloris basin are hard to make, as Caloris was not imaged by us in a favorable geometry. Features on the photographed hemisphere are smaller and mostly associated with craters and crater complexes, most notably the Kuiper crater and its environs.
Model-free End-to-end Learning of Agile Quadrupedal Locomotion over Challenging Terrain

In recent years, many studies using reinforcement learning and complex modules to make quadruped robots traverse complex terrain rely on complex modules and are difficult to train. How to obtain a reinforcement learning paradigm with simple structure and easy training that can traverse complex terrain has become a challenging problem. Most of the previous work relied on hand-crafted foot trajectory or other modules related to gait, and there are seldom methods to get an end-to-end reinforcement learning controller without a model and only proprioceptive observations yet. We adopt the method of combining reinforcement learning with inverse kinematics to generate foot trajectories in the model-free mode, and finally obtained the standard and smooth trot gait only depends on the robot’s proprioceptive observations, and robot can also achieve steady walking by curriculum learning in the case of with no camera obtaining terrain’s information.
Modulus backcalculation methodology based on full-scale testing road and its rationality and feasibility analysis

ABSTRACT The objective is to propose a new methodology of modulus backcalculation and analyse its rationality and feasibility. Firstly, the features and advantages of the proposed are summarised. Secondly, a total of 130 sets of deflection basinswere collected and the modulus was backcalculated. Meanwhile, the temperatures of different asphalt layers were monitored. Subsequently, the simple performance test (SPT) was used to establish the master curve model. The dynamic modulus of different asphalt mixtures of falling weight deflector’s load frequency and real test temperature was predicted. Following, the backcalculated modulus was compared with the SPT modulus for verifying its ability of reflecting the material properties. Furthermore, the rationality of the backcalculated modulus is verified, as well as its ability to distinguish between different sections. Lastly, the efficiency, success rate and stability of the proposed method are statistically analysed. Results show that the ratios of the backcalculated modulus to the SPT modulus range from 0.9 to 1.2. The proposed method can process about 100 measured deflection basins per minute and its success rate exceeds 80%. The coefficient of variation of the effective modulus does not exceed 15%. The proposed method has high rationality and feasibility meeting the requirements of engineering applications.
effectiveness of nano-nickel oxide with manufactured plant extract and its properties on inhibiting the growth of some types of bacteria and fungi isolated from skin infections

Nickel oxide nanoparticles prepared in the first and second methods were synthesized and the properties of the solutions were shown. The XRD examination according to the MT values was at the drawing amount (111) 37.2, (200) 44.6, (220) 62.5 corresponding to the international measurements of Miller's Theta2 coefficient, while it was Sem examined the appearance of the shape of the rocky, cork, or spherical and spherical particles with a size of 10-25 nm, the TEM examination gave that nanoparticles with a size not exceeding 0.5-40 nm, the UV test of absorbance and permeability indicated that the solution is homogeneous and very light and the nanomaterial is at a value between 236-800 nm and indicates Energy gap values are 2.0-5.6 ev and that the material is semiconductive, which is evidence of the presence of nickel oxide. The Ftir test shows that the bonding sites for cobalt oxide are at 500-600, and the zeta Potential (ZP) test indicates that all solutions have very small values and that the material is not agglomerating and very light.
The impact of foliar application of biostimulators on the morphological characteristics of the leaf rosette of winter rape plants

The field experiment was caried out in three growing seasons (2013–2016) at the Agricultural Experimental Station – Zawady (52°03'N and 22°33'E) belonging to the University of Natural Sciences and Humanities in Siedlce, Poland. The experiment was set up in a split-plot configuration with three replications. The examined factors were: I – morphotypes of winter oilseed rape: population (Poznaniak), hybrid restored with a semi-dwarf type of growth (PX104), hybrid restored with a traditional type of growth (Konkret); II – four types of biostimulators: 1. control variant, 2. biostimulator Tytanit® (titan), 3. biostimulator Asahi®SL (sodium ortho-nitrophenol, sodium para-nitrophenol, sodium 5-nitroguaiacol), 4. biostimulator Silvit® (active silicon, potassium oxide, boron – form of pure element, zinc – form of pure element). The aim of the study was to evaluate the effect of biostimulators containing various active substances on the morphological characteristics of winter oilseed rape plants in the leaf rosette stage (number of rosette leaves, tap root length, height of the growth cone) and on the fresh and dry mass of the above-ground rosette and the root system of traditional and semi-dwarf winter oilseed rape morphotypes type of growth under changing climatic conditions. The genetic factor significantly influenced the morphological features of plants, marked in autumn by inhibition of vegetation. The population variety Poznaniak developed more rosette leaves, greater length of the tap root, and fresh and dry mass of the rosette and the root system as compared to the restored hybrids. The applied biostimulators significantly influenced plant parameters determined in the fall before the vegetation inhibition. After the use of a biostimulator containing the active substance in the form of sodium o-nitrophenol, sodium para-nitrophenol and sodium 5-nitroguajakol, a significantly higher value of the tested features was obtained compared to the control variant. Regardless of the type of biostimulator used, the height of the growth cone was the same as in the control object. The most favourable parameters of the leaf rosette were obtained in the first and second periods of summer-autumn vegetation and winter dormancy, while in extreme drought conditions during sowing and a fairy dry period of emergence, its weakest features were obtained. Natural growth stimulants are becoming an increasingly common elements of agricultural plant agrotechnics. Their use has a positive effect on the growth and development of plants and increases the resistance of plants to the adverse effects of stress factors.
The Anti-Inflammatory Effect of Preventive Intervention with Ketogenic Diet Mediated by the Histone Acetylation of mGluR5 Promotor Region in Rat Parkinson's Disease Model: A Dual-Tracer PET Study

Materials and Methods The neuroprotective effect of ketosis state prior to the onset of PD (preventive KD, KDp) was compared with that receiving KD after the onset (therapeutic KD, KDt) in the lipopolysaccharide- (LPS-) induced rat PD model. A total of 100 rats were randomly assigned to the following 4 groups: sham, LPS, LPS + KDp, and LPS + KDt groups. Results Significant dopamine deficient behaviors (rotational behavior and contralateral forelimb akinesia), upregulation of proinflammatory mediators (TNF-α, IL-1β, and IL-6), loss of dopaminergic neurons, reduction of mGluR5+ microglia cells, increase of TSPO+ microglia cells, reduction of H3K9 acetylation in the mGluR5 promoter region and mGluR5 mRNA expression, and decline in the phosphorylation levels of Akt/GSK-3β/CREB pathway were observed after the intervention of LPS (P < 0.01). TSPO and DAT PET imaging revealed the increased uptake of 18F-DPA-714 in substantia nigra and decreased uptake of 18F-FP-CIT in substantia nigra and striatum in LPS-treated rats (P < 0.001). These impairments were alleviated by the dietary intervention of KD, especially with the strategy of KDp (P < 0.05). Conclusions The anti-inflammatory effect of KD on PD was supposed to be related to the modulation of Akt/GSK-3β/CREB signaling pathway mediated by the histone acetylation of mGluR5 promotor region. The KD intervention should be initiated prior to the PD onset in high-risk population to achieve a more favorable outcome.