Miracle-dz/UniFAR-FTUs huggingface dataset:
Insights into the Generalized Fourier's and Fick's Laws for Simulating Mixed Bioconvective Flows of Radiative-Reactive Walters-B Fluids Conveying Tiny Particles subject to Lorentz Force

The current improvement in nanoscience and nanotechnology areas has attracted researchers' attention to biofuel, bioengineering, and biomedical and mechanical engineering applications. However, there is no report on the extension of Buongiorno's model incorporating the Cattaneo-Christov theory and the generalized Fick's law to reflect the significant impacts of Brownian motion, thermophoresis diffusion, thermal radiation, and activation energy. The governing partial differential equations (PDEs) suitable to model the case as mentioned above were converted into a unified set of ordinary differential equations (ODEs) by applying appropriate similarity transformations and solved numerically by using the Spectral Local Linearization Method (SLLM) and MATLAB in-built package. The SLLM numerical method provides robustness results with a higher level of exactness and low‐computational cost. It is worthy to conclude that the nanoparticles concentration distribution can be heightened considerably either by diminishing the Prandtl number and concentration relaxation parameter or increasing the values of nanoparticles concentration Biot number and activation energy parameter. An attractive reduction in the surface drag force coefficient is achievable via the intensifying values of the non-Newtonian parameter.
Orthotopic Human Metastatic Uveal Melanoma Xenograft Mouse Models: Applications for Understanding the Pathophysiology and Therapeutic Management of Metastatic Uveal Melanoma

The propensity of uveal melanoma to metastasize to the liver hinders the accrual of micro‐metastatic and end‐stage disease tissue samples and restricts the investigation of metastatic uveal melanoma (MUM). Pre‐clinical experimental animal models of MUM can help elucidate the pathophysiology of metastatic lesions and provide a tool for designing new therapeutic approaches for MUM. Here, we present an advanced model of hepatic metastases that enables quantitatively visualizing the development of individual hepatic tumor clones and estimating their growth kinetics and colonization efficiency. Similar to clinically observed liver metastases, these models enable the assessment of growth kinetics of the liver micro‐metastases and the testing of therapeutic approaches for the treatment of MUM. © 2021 Wiley Periodicals LLC.
A CoN‐based OER Electrocatalyst Capable in Neutral Medium: Atomic Layer Deposition as Rational Strategy for Fabrication

Reported herein is an active and durable CoN‐containing oxygen evolution reaction (OER) electrocatalyst which efficiently functions in a neutral medium (pH ≈7). The composite material (N, S)‐RGO@CoN is synthesized by delicate atomic layer deposition (ALD) of CoN on a nitrogen and sulfur (N, S) co‐doped reduced graphene oxide (RGO) substrate. Representative results of the comprehensive study are: 1) The flower‐like sphere RGO substrate prepared by spray drying method features rich physical and chemical properties, which are beneficial for rapid mass/charge transfer to improve the intrinsic OER process; 2) the optimal ALD material for OER tests is afforded by tuning spray conditions and ALD parameters. Versatile structural and compositional characterizations confirm uniform growth and strong chemical coupling of nanostructured CoN on (N, S)‐RGO matrix; 3) the material is electrocatalytically active and durable in a neutral electrolyte, recording an OER overpotential of 220 mV at a current density of 10 mA cm−2 and stability of 20 h continuous catalysis at 20 mA cm−2 with nearly 100% Faradic efficiency; 4) Upon the experimental studies and density functional theory calculations, the eventual mechanism of remarkable OER activity conforms to the structural fate of ALD CoN electronic coupling to the carbon substrate.
Side Chain Selection for Designing Highly Efficient Photovoltaic Polymers with 2D-Conjugated Structure

Recently, the benzodithiophene- (BDT-) based polymers with conjugated side groups attracted considerable attention due to their superior properties in polymer solar cells (PSCs), so the investigation of the side chain effects on the photovoltaic properties of this type of polymers is an interesting and important topic for molecular design. Herein, three conjugated polymers based on BDT and thieno[3,4-b]thiophene units with furan, thiophene and selenophene as side groups, named as PBDTTT-EFF, PBDTTT-EFT, and PBDTTT-EFS, were synthesized and applied in polymer solar cells. The polymers were characterized in parallel by absorption spectroscopy, thermogravimetric analysis (TGA), density functional theory (DFT), ultraviolet photoemission spectroscopy (UPS), X-ray diffraction (XRD), and photovoltaic measurements. The results show that the dihedral angles between the BDT and conjugated side groups play important roles in affecting the absorption bands, HOMO levels, crystallinities, and aggregation sizes of the p.
Genetic variation in non-indigenous populations of the land snails Harmozica ravergiensis and Brephulopsis cylindrica (Gastropoda: Stylommatophora) in the south of the Central Russian Upland (Eastern Europe)

ABSTRACT The Caucasian snail Harmozica ravergiensis Férussac, 1835 (Gastropoda, Stylommatophora, Hygromiidae) and the Crimean snail Brephulopsis cylindrica Menke, 1828 (Gastropoda, Stylommatophora, Enidae) have been spreading across the northern borders of their ranges in recent years. Here I present a study of the variability of ISSR loci in the populations of H. ravergiensis and B. cylindrica outside their natural range, in the south of the Central Russian Upland (Belgorod Region, Russia). A comparison is made with populations of these snail species in their native area (respectively, the Caucasus and Crimea). Genetic polymorphism is generally at the same level in alien and natural populations of the species. However, in some geographically isolated alien populations, the variability indices are lower than in the native area. The level of genetic differentiation between geographically distant populations indicates different sources of invasion. A high level of genetic differentiation was also detected between native populations. No isolation by distance was found for the Belgorod populations of H. ravergiensis (Mantel test, R2=0.065; P = 0.110). The exchange of migrants between these local populations is probably occurring anthropogenically.
Exogenously Applied Polyamines Reduce Reactive Oxygen Species, Enhancing Cell Division and the Shoot Regeneration from Brassica oleracea L. var. capitata Protoplasts

Polyamines (PAs) are organic molecules that are found in plants and animals. In plants, they are involved in the regulation of cellular growth, apoptosis, rooting, flower development, and stress responses. The effect of exogenously applied polyamines on the development of Brassica oleracea L. var. capitata protoplast cultures was studied. Protoplasts were isolated from hypocotyls of 2-week-old seedlings of three accessions and they were cultured in liquid media supplemented with putrescine (Put), spermidine (Spd), and spermine (Spm) at concentrations of 0 (control), 10, 20, and 40 µM. In the very early culture (24 and 48 h), cellular reactive oxygen species levels (ROS) in live cells were monitored using a fluorescent probe. The Put- and Spd-treated protoplasts exhibited lower fluorescence intensities, which corresponded to lower ROS accumulation as compared to the PA-free control. The protoplast viability was affected by the type of polyamine applied rather than its concentration. Put and Spd had a beneficial effect on the mitotic activity of the cultured cells, which was observed in all tested accessions. The highest frequency of shoot organogenesis (21%) was obtained from microcalli derived from the protoplasts cultured on the medium supplemented with 10 µM Put. Analysis of the ploidy level of the regenerants showed that the vast majority were diploids. Our results demonstrated that exogenously applied PAs maintained the viability of B. oleracea L. var. capitata protoplasts by alleviating oxidative stress and stimulating mitotic activity, which further affected the plant regeneration process.
POSE-ID-on - A Novel Framework for Artwork Pose Clustering

In this work, we focus our attention on the similarity among works of art based on human poses and the actions they represent, moving from the concept of Pathosformel in Aby Warburg. This form of similarity is investigated by performing a pose clustering of the human poses, which are modeled as 2D skeletons and are defined as sets of 14 points connected by limbs. To build a dataset of properly annotated artwork images (that is, including the 2D skeletons of the human figures represented), we relied on one of the most popular, recent, and accurate deep learning frameworks for pose tracking of human figures, namely OpenPose. To measure the similarity between human poses, two alternative distance functions are proposed. Moreover, we developed a modified version of the K-Medians algorithm to cluster similar poses and to find a limited number of poses that are representative of the whole dataset. The proposed approach was also compared to two popular clustering strategies, that is, K-Means and the Nearest Point Algorithm, showing higher robustness to outliers. Finally, we assessed the validity of the proposed framework, which we named POSE-ID-on, in both a qualitative and in a quantitative way by simulating a supervised setting, since we lacked a proper reference for comparison.
Towards irrigation automation based on dielectric soil sensors

ABSTRACT A comprehensive review of automation of irrigation based on volumetric soil water content (VSWC) in the framework of IoT (Internet of Things) is presented. The fundamentals of electromagnetic sensors based on soil dielectric permittivity and the techniques used for measuring the VSWC are briefly described. Factors affecting sensor performance that have to be considered for selecting the appropriate sensor along with a SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis are outlined. Special attention must be paid to the small soil volume explored by these sensors, installation accuracy, calibration, power supply and consumption and the effects of salinity on the soil water content. Since it is connected to a telemetry system, a wireless sensor network should include robust transmission units, energy-efficient processor, flexible configuration of the I/O ports, long-life battery, and a friendly software platform. A bidirectional wireless network layout allows sensor activity to be monitored, acts on solenoid valves to trigger irrigation (based either on direct VSWC values or algorithms) and provides real-time feed-back information of the soil-plant-atmosphere continuum. As revealed by the field research studies, significantly higher water, energy and labour savings were possible using automated irrigation based on VSWC sensors than with conventional irrigation scheduling based on computed evapotranspiration.
Understanding Social Accounting Based on Evidence

This study aims to discuss the use of social accounting, supported by practice theory, and its contribution to social accounting theory. It is possible for stakeholder accounting to be carried out by various companies. It has been analyzed by multiple case studies, and the results will enable us to help the general public understand the social values that companies generate for society and the resulting impact on stakeholder, and therefore social well-being. The results of the analyses will provide companies with feedback on their social impact, which will help them to become more efficient. This study defines a framework that might guide the social value and nonfinancial information of organizations. Social accounting is seen as an accounting system based on accepted accounting principles, seeking to emphasize the notion of corporate accountability. From the analysis of more than 90 cases, we conclude that there is a possibility of systematically introducing stakeholder accounting or recalled socioemotional accounting (SĒA) into all organizations.
Mean- Adjusted Variance Model for Portfolio Optimization

This paper proposes an operational founded model for portfolio optimization. The procedure used is based on the redacting ofthe asymmetry impact of the variance. This is a new approach that givesassets more accurate risk measures. The risk adjustment is based on the measure of volatility skewness andthe goal here is to eliminate noisy risk.Moreover, we give our risk asymmetrical effect,according to the means of each asset.
Global Value Chains’ Disaggregation through Supply Chain Collaboration, Market Turbulence, and Performance Outcomes

This research examines supply chain collaboration effects on organizational performance in global value chain (GVC) infrastructure by focusing on GVC disaggregation, market turbulence, inequality, market globalization, product diversity, exploitation, and technological breakthroughs. The research strives to develop a better understanding of global value chains through relational view, behavioral, and contingency theories along with institutional and stakeholder theories of supply chains. Based on conflicting insights from these theories, this research investigates how relationships and operational outcomes of collaboration fare when market turbulence is present. Data is obtained and analyzed from focal firms that are engaged in doing business in emerging markets (e.g., India), and headquartered in the United States. We investigate relational outcomes (e.g., trust, credibility, mutual respect, and relationship commitment) among supply chain partners, and found that these relational outcomes result in better operational outcomes (e.g., profitability, market share increase, revenue generation, etc.). From managerial standpoint, supply chain managers should focus on relational outcomes that can strengthen operational outcomes in GVCs resulting in stronger organizational performance. The research offers valuable insights for theory and practice of global value chains by focusing on the GVC disaggregation through the measurement of market turbulence, playing a key role in the success of collaborative buyer–supplier relationships (with a focus on US companies doing business in India) leading to an overall improved firm performance.
Reduction of Carbon Dioxide Emission from Diesel Engine Fuelled with Plastic Pyrolytic Oil Using Modified Charcoals

Carbon dioxide is one of the greenhouse gases majorly contributing to the global warming and greenhouse effects. Combustion of fossil fuels such as coal, petroleum products and natural gas for power production, transportation and industrial applications produce maximum amount of carbon dioxide. Hence, reduction of CO2 emission is mandated to avoid additional add on to the atmosphere and control global warming. A new low cost carbon trapper using modified charcoals has been designed and tested in a stationary diesel engine for the reduction of carbon dioxide emission and results were reported in this article. Normal wooden charcoal was produced and impregnated with NaOH and KOH. These two modified charcoals, Normal wooden charcoal and commercially purchased activated charcoal were testes individually and compared with each other. Also the effect of amount of different charcoals at 100 grams, 200 grams and 300 grams on carbon dioxide reduction were also tested. The potassium hydroxide (KOH) impregnated wooden charcoal with 300 grams mass shows the best result of 63.92% CO2 reduction at 75% engine load and sodium hydroxide (NaOH) impregnated charcoal shows 62.89% reduction in CO2 at the same engine load due to increased adsorption along with absorption and high porosity.
A new deep distortion convolutional neural network for semantic segmentation of panoramic images

Semantic segmentation of panoramic images plays a crucial role in many applications, such as scene understanding, autonomous navigation, and community security. However, the traditional deep learning algorithms achieve lower accuracy for panoramic images due to the serious image distortion. This paper proposes a new deep convolutional neural network to segment panoramic images of outdoor scenes semantically. The proposed network includes two branches: the semantic segmentation sub-branch (SS-branch) and the feature enhancement sub-branch (FE-branch). The SS-branch contains two parts: Encoder and decoder. In the encoder, a new distortion convolution layer (DCL) is defined to reduce the distortion of panoramic images. In the FE-branch, a canny is used to detect the edge and a lightweight network is designed to enhance the features of image boundaries. Finally, a weighted loss function is used. The experimental results show that the proposed semantic segmentation method has better performance for different outdoor scenes.
Application of simulated annealing particle swarm optimization in complex three-dimensional path planning

Particle Swarm Optimization (PSO) has achieved good results in UAV path planning, but there is still the phenomenon of abandoning the global optimal path and choosing the local optimal one. In order to improve the ability of particle swarm in path planning, a simulated annealing particle swarm algorithm is proposed. First, tent reverse learning is used to initialize the population so that the algorithm is evenly distributed in space. Then annealing operation is performed after iteration once, which has better local path judgment ability and avoids the phenomenon of local optimum to some extent, so as to find a more satisfactory path. Simulated annealing particle swarms can find a clear and satisfactory path with high stability through the complex three-dimensional path planning simulation of UAV.
Dietary Intake of Branched Chain Amino Acids and Breast Cancer Risk in the NHS and NHS II Prospective Cohorts

Abstract Background Branched chain amino acids (BCAAs) are essential amino acids common throughout the US diet. Although circulating BCAAs have been implicated in insulin resistance and some obesity-related cancers, the relationship between dietary intake of BCAAs and incident breast cancer is unknown. We sought to evaluate the association between long-term dietary intakes of BCAAs and invasive breast cancer risk. Methods Our analyses included 196 161 women from the Nurses’ Health Study and Nurses’ Health Study II longitudinal cohorts. Average intakes of total and individual BCAAs (isoleucine, leucine, valine) were estimated from repeated diet questionnaires and incident self-reported breast cancer cases were confirmed via medical record review. Cox proportional hazards models, adjusted for reproductive history, lifestyle, body mass index, and other breast cancer risk factors, were used to estimate hazard ratios and 95% confidence intervals. Results We observed 10 046 incident cases of breast cancer over a median of 20.8 years of follow-up. No associations between dietary intakes of total or individual BCAAs with breast cancer risk were observed. Compared with women in the bottom quintile of BCAA intake, the hazard ratio of breast cancer for those in the top quintile was 1.05 (95% confidence interval = 0.98 to 1.12; 2-sided Ptrend = .20). Findings were consistent across molecular subtypes and according to type 2 diabetes diagnosis and body mass index categories. Conclusions Dietary intakes of BCAAs are not likely a risk factor for breast cancer.
Product Development of Mini Chamber with Ergonomic Function Deployment (EFD) Method

Corona Virus Disease-19 (Covid-19) pandemic is still ongoing until now. The spread of this virus is very dangerous because it can spread through droplets or the particles that come out from the nose and mouth. Based on these sentences, the spread of the virus has become risky, one of the activities is shopping online. Virus transmission can occur through delivery and receive stuff activities. The habit that occurs in public, often the stuff arrived at home indirectly sterilized. The purpose of the research is to develop a product that can sterilize the stuff with disinfectant automatically. This research for product development with Ergonomic Function Deployment (EFD) Method. In this method, the product concept is designed based on customer needs (voice of customer). Data of customer needs is obtained from the result of 100 respondents with an age range of 20-40 years who frequently online shopping. The product designed refers to the method used with the ergonomic principle after data is processed. The recommendation of product development from this research is a mini chamber. This product is a development of the chamber but its function is for spraying stuff from the outside of house. The procedure of this product is works automatically so the application of this product for customer can be easier.
Bird micro-doppler simulation for bird versus UAV recognition

Birds and UAVs have similar Radar Cross Section and speed, making birds confusers when trying to detect and track UAVs. Birds can have micro-Doppler features in their signatures, but collecting bird data at multiple angles and directions can be expensive. An alternative is using micro-Doppler simulations of birds. Accurate simulations are made of a single bird, but can also be used to produce flocks of birds as potential confusers. The bird simulation was analyzed for its similarity to drone or UAV rotor radar micro-Doppler. Using these simulations, the effect of the flight angle relative to the radar beam was analyzed for the amount of observable micro-Doppler, allowing the analysis of track angles and the enhanced probability of a false alarm from a bird. This paper shows the differences in bird micro-Doppler returns simulated over angles and compares them to a micro-Doppler model of a UAV rotor.
Exploring genetic diversity of lowland avocado as a genetic reservoir for breeding.

The avocado (Persea americana Mill.) is highly valued worldwide for its desirable nutritional properties and broader applications in the oil and pharmaceutical industry. Despite northwestern Mexico, with a tropical semi desert climate, is not considered as part of the avocado origin center in Mexico, it possesses a high morphological diversity of avocado fruits. In an effort to provide more information about the diversity present in this region and at the same time, to support a more efficient production of avocado in this climate, this study characterized the genetic diversity of avocado trees growing at northwestern Mexico. Genetic diversity was estimated by using eight microsatellite loci. 45 seed-derived trees, with contrasting fruit morphology were identified. Results showed a high level of genetic diversity with 11.5 alleles per locus, a polymorphic index content of 0.75, and observed and expected heterozygosity values of 0.58 and 0.79, respectively, these values were similar to those observed in germplasm banks and genotypes from centers of origin. Clustering analysis assigned local genotypes to six clusters but did not provide a clear separation among avocado races, suggesting that local genotypes are a result of racial hybridization. Interestingly, avocados from the Mexican race and the commercial variety Hass clustered into two different groups. Despite not being considered a center of origin, results confirm an extensive diversity in northwestern Mexico, encouraging further exploration and preservation of genotypes with desirable traits to future breeding programs for the selection of local genotypes adapted to a lowland tropical climate.