Miracle-dz/UniFAR-FTUs huggingface dataset:
Diallel analysis for morphoagronomic descriptors in Physalis angulata L. hybrids

Physalis angulata L. is an American species with edible fruits that stands out for having high nutritional and pharmaceutical value. The species is found in almost the entire Brazilian territory but the consumption of its fruits is not widespread. The aim of this work was to evaluate the existence of heterosis and heterobeltiosis for morphoagronomic descriptors, to estimate correlations, and to select the best hybrids in P. angulata in a full diallel with five accessions. Twenty descriptors, including plant, fruit and seed traits, were evaluated in a full diallel with 23 treatments, three repetitions and experimental plot of four plants with spacing of one meter between lines and 0.5 m between plants, in experimental field of Universidade Estadual de Feira de Santana in Feira de Santana, Brazil, in August to December 2019. Plant height and total soluble solids showed significant genetic variation. Positive heterobeltiosis for total soluble solids was observed in hybrids Pi × G53, Can × Pi and Can × LG, while negative heterobeltiosis for plant height was observed in G53 × LG, Pi × Laj e Can × Laj hybrids. Heterosis was also observed for plant height and total soluble solids descriptors. Using selection indexes, Can × G53, Can × LG, Pi × G53, Can × Pi and G53 × Pi were selected as the best hybrids, expressing smaller plant height and higher total soluble solids. This is the first report of the use of diallel analysis and the identification of heterosis and heterobeltiosis in P. angulata descriptors.
Recent Advances in Inverted Lead-free Tin-Based Perovskite Solar Cells and Challenges

Lead-based perovskite solar cells (PSCs) have gained considerable interest since 2009 owing to their excellent optical and electrical properties, achieving a certified efficiency of 25.5% over a 12-year period. However, the presence of lead in perovskites, which is a cumulative toxicant to human bodies, hampers the market prospect of these solar cells. Sn perovskites with narrow band gaps and high carrier mobilities are thus by far the most promising alternative. Sn-based PSCs have attracted increasing attention owing to their inverted planar p-i-n structure, which represented an important breakthrough in the field. Their main advantages include low-temperature fabrication, cost-effectiveness, and suppressed hysteresis behavior, alongside a competitive power conversion efficiency of up to 12.4%. Recent progress in the device performance of p-i-n Sn-based PSCs demonstrates the promising potential of these materials. Here, recent developments and future perspectives regarding inverted p-i-n Sn-based PSCs are reviewed. In particular, this review focuses mainly on features and interfaces of p-i-n Sn-based PSCs, properties of Sn perovskites, and fabrication of a high quality Sn perovskite active layer, highlighting the obstacles to further progress and opportunities for future work. The current challenges and prospects for Sn-based PSCs are also discussed.
Redesigning Clinical Pathway of Elective Caesarean Section Using Activity-Based-Costing Reduce Exposure to COVID-19

This research objective is to discover non-value-added activities in the elective cesarean section (CS) clinical pathway (CP) through cost analysis using the ABC method and redesign elective CS CP at W Hospital. Activity-Based Costing (ABC) is an accounting system designed through activity management. The ABC system identifies all functions in the service process chain, calculates the activity costs, and assigns costs to cost objects, such as activity-based service products. This calculation method emphasizes the service process. The ABC method is seen as a unit cost calculation system that is suitable for hospitals. CP costing using the ABC method is a cost analysis using CP as the basis for service activities. The CP of Elective CS consists of various activities. This study used a case study approach. The eight informants were the head of finance, the head of medical services and support, one ob-gyn specialists, one anesthetist specialists, one outpatient installation nurse, one midwife, one inpatient installation midwives, and one nutritionist. The COVID-19 changed the procedures and influenced the activities of CS CP. The analyses were conducted using the ABC method and data triangulation. Non-value-added activities found were clinical assessment in the emergency room (ER), laboratory activities, and organic waste treatment. Non-value-added found in clinical assessment in the ER, laboratory examinations, and organic waste treatment. CP CS redesign consists of activities of admission, pre-operation, and post-operation, surgery, pharmacy, nutrition, medical records, laundry, billing, logistics, and management administration. The researchers suggest that W hospital should redesign elective CS CP activities to eliminate non-value-added activities.
Sustainable Glass Recycling Culture-Based on Semi-Automatic Glass Bottle Cutter Prototype

Humanity has developed recycling activities over time due to their benefits, the shortage of raw materials, or the footprint with regard to the environment. The absence of a recycling culture in Mexico has not allowed its development and growth despite the benefits. In 2012, Mexico only recycled less than 10% of urban solid waste. Most recycling activities are focused on plastic, paper, and cardboard products due to their prices in local markets. This article presents a semi-automated prototype focused on recycling glass bottles using the thermal shock phenomenon. It aims to develop a sustainable glass recycling culture by creating a new branch for the integral glass recycling process and a proposal base on Integrated Sustainable Waste Management (ISWM) and the Quintuple Helix Model. It helps to reduce waste and resource recovery from recycling and upcycling glass bottles. The products obtained from upcycling fulfill new uses and acquire new value, while glass leftovers continue the integral recycling process for glass. Additionally, this paper demonstrates the relation between the ISWM and the Quintuple Helix Model and the opportunity to implement the twelfth Sustainable Development Goal (SDG).
Electronic Properties of Transparent Conductive Films of PEDOT:PSS on Stretchable Substrates

Despite the ubiquity of poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) as a transparent conducting electrode in flexible organic electronic devices, its potential as a stretchable conductor has not been fully explored. This paper describes the electronic and morphological characteristics of PEDOT:PSS on stretchable poly(dimethylsiloxane) (PDMS) substrates. The evolution of resistance with strain depends dramatically on the methods used to coat the hydrophobic surface of PDMS with PEDOT:PSS, which is cast from an aqueous suspension. Treatment of the PDMS with an oxygen plasma produces a brittle skin that causes the PEDOT:PSS film to fracture and an increase in resistivity by four orders of magnitude at only 10% strain. In contrast, a mild treatment of the PDMS surface with ultraviolet/ozone (UV/O3) and the addition of 1% Zonyl fluorosurfactant to the PEDOT:PSS solution produces a mechanically resilient film whose resistance increases by a factor of only two at 50% strain and retains si.
Eco-Innovation, Sustainability and Business Model Innovation by Open Innovation Dynamics

The paper aims to analyze the environmental aspects of innovation activity undertaken by companies and, in particular, to assess sustainable business leaders’ propensity to generate eco-innovation. The research described in the paper was descriptive and, to some extent, diagnostic. It was based on a non-random sample and was conducted—using the Computer Assisted Telephone Interview (CATI) method—in 2019 among 54 of the most eco-innovative Polish companies. The results of the research indicate that they are more likely to generate radical rather than incremental changes. Moreover, the most eco-innovative companies are those developing technologies for biodiversity protection. The results further indicate that companies with more than 50 employees have a higher propensity to develop incremental and radical eco-innovation than smaller firms with relatively fewer resources. Finally, this study shows that adopting an open innovation strategy strengthens the propensity to generate eco-innovation, especially radical ones. Moreover, developing such changes is dominated by the adoption of strategic and operational forward supply chain collaboration, involving the absorption of knowledge and information streaming directly from the market. The results can provide a frame for developing new business models incorporating collaboration in eco-innovation activities, especially in the situation of a post-pandemic recovery of the economy.
Remote Sensing Satellite Image Classification Using Neural Network

Continuous monitoring of the geographical area of the Earth has become a necessity. Either to develop the infrastructure or to protect the resources of a region the right analysis of the geographical distribution has to be detected. Hence processing of satellite image of the region is the best solution. This paper proposes an approach for refining the detection and classification of various geographical regions like land, water, forest etc., in an area. Here the Convolutional Neural Network (CNN) classifier of deep learning technique is applied for processing the satellite image of the region under study using Matlab platform.
Thin sulfonated poly(ether ether ketone) films for the dehydration of compressed carbon dioxide

In this thesis, the properties of thin films from highly sulfonated poly(ether ether ketone) (SPEEK) have been investigated within the context of their application as membranes for the dehydration of compressed carbon dioxide. Spectroscopic ellipsometry has been used as the predominant measurement technique. The relationships between the presence of water during film formation and final film properties have been investigated, as well as the water-induced dynamic swelling. Furthermore, the effects on thermal stability of thin SPEEK films when the protons in the sulfonic acid groups are exchanged with sodium ions has been evaluated. Additionally, the feasibility of using composite hollow fibers in the dehydration of compressed carbon dioxide has been assessed with simulations in Aspen Plus®. Thin SPEEK films swell excessively in water, and the extent of water-induced swelling is shown to be correlated with the inherent optical anisotropy of the films. The inherent anisotropy in SPEEK films is indicative for the presence of molecular orientations and internal stresses in the material. Additionally, the hydration state of SPEEK during film formation impacts the final morphology of the films, which can significantly affect the swelling behaviour. Films formed without the presence of water, swell significantly less than their counterparts, prepared in identical way but in a humid atmosphere. Swelling of SPEEK films can be also suppressed by grafting of polyols molecules on sulfonic acid groups, predominantly reducing the affinity for water. Sodium counter-ions strongly enhances thermal stability of SPEEK. No thermally-induced changes have been observed for SPEEK-sodium films when these are heated up to 220 °C for 15 hours. In contrast, SPEEK-proton films that are heated up to only 160 °C for 15 hours exhibit significant decomposition. For dehydration application via membranes, a method is required to remove water from the permeate side such that the high driving force over the membrane is maintained for water permeation. In this study, the usage of a sweep gas in a low pressure, also carbon dioxide, has been discussed.
Drivers and patterns of bite force evolution in liolaemid lizards

Phenotypic variation is the result of selection on traits that are relevant in a given ecological context. Phylogenetic history, genetic drift, and any developmental or structural constraints may, however, limit variation in trait expression. It has been proposed that organismal performance traits take up a pivotal role in driving variation in morphology due to their central role in survival and reproductive success. However, how strong the links are between morphology and performance, and how the strength of this relationship impacts the rate of evolution of form and function need to be studied across a wider variety of systems to better understand the origin and evolution of biodiversity. Here we used data on the jaw system (muscle architecture and head dimensions) of liolaemid lizards to investigate the drivers of in vivo bite force variation and test for differences in evolutionary rates in morphology and performance. Our results show high rates of evolution for performance traits compared to morphological traits such as external head dimensions. Many-to-one mapping of morphology to performance, that is the possibility that different anatomical trait combinations lead to similar levels of performance, appears to be common in the jaw system of these lizards. Finally, traits showing greater mechanical sensitivity (muscle cross-sectional areas) showed higher rates of evolution compared to traits involved in other functions and that are probably subject to trade-offs (e.g. head width).
PREVALENCE OF WORK RELATED NECK PAIN IN GIRL PHYSIOTHERAPY STUDENTS OF AMRITSAR

Neck pain is one of the most common musculoskeletal disorders in physical therapists, especially the females. In the present study, an attempt has been made to search the prevalence of neck pain in girl physiotherapy students of Amritsar. A total of purposively selected 194 under- and post-graduate girl physiotherapy students aged 18-26 years from Guru Nanak Dev University, Amritsar were selected for the present cross-sectional study. Modified Nordic Questionnaire and Northwick Park Neck Pain Questionnaire were applied to gather the information. Standard statistical analyses were also done. In results, the prevalence of neck pain was found as 20.10% in girl physiotherapy students of Amritsar with the maximum prevalence (76.92%) in the BMI category of normal weight, gradual onset (53.84%) of pain in majority cases, the maximum (56.41%) 1-7 days of time of neck trouble during last 12 month, with less medication (29.41%) for their neck pain during last one year, with 1-7 days time (55.88%) when neck trouble had prevented them from doing their normal work during the last one year, and the younger students had higher disability index (279.78; 14.11%) than their older counterparts (254.13; 13.32%). It could be concluded that neck pain should be taken care adequately in the early stages of their profession. Keywords: Neck pain, Modified Nordic Questionnaire, Northwick Park Neck Pain Questionnaire, Girl physiotherapy students.
Detection of Adelges tsugae (Hemiptera: Adelgidae) wool using Velcro-covered balls

Abstract Adelges tsugae Annand (Hemiptera: Adelgidae), a nonindigenous insect pest of hemlock (Tsuga spp.) (Pinaceae) in eastern North America, spends most of its life cycle within an ovisac, which resembles a woolly white mass on twigs. We evaluated the probability of detecting adelgid wool with Velcro®-covered balls when taking an increasing number of samples per tree (field sampling) and number of trees per simulated stand. We examined the relationship between the detection of adelgid wool using this technique and the incidence of A. tsugae-infested twigs by sampling lower-crown branch tips of the same trees. We found that the probability of detecting wool with ball sampling increased with number of ball samples per tree, with number of trees per simulated stand, and with increasing incidence of ovisacs in the lower crown. When sampling an individual tree, we found that 20 ball samples per tree achieved a targeted precision level of 0.75, but when sampling a stand, we found that 10 ball samples per tree took the least time for the range of simulated A. tsugae infestations we tested. These sample sizes are recommended for detection of A. tsugae infestations on an individual tree and in a hemlock stand.
Formation of Catalyst Model Dispersed of Pd on a thin MgO(100)

The nucleation kinetics or the formation of a catalyst model dispersed for the system Pd/thin MgO (100) are calculated by developing many programs using Fortran software. This simulation is based upon parameters studied in situ by transmission electron microscopy (TEM), related to the first quantitative study on the nucleation and the growth. Palladium nanoparticles deposited on thin MgO are tested in the temperature range 573-1073 K and deposition time of 1000 s. The nucleation kinetics are interpreted according to the theory of random nucleation. The general scheme is consisting of three stages namely, nucleation, growth and coalescence. The saturation density of clusters decreases when the substrate temperature increases following Arrhenius law. This behavior is in agreement with a recent AFM study for Ag/MgO and Au/MgO. The phenomenon of coalescence is explained via island migration process. It is shown that the coalescence occurs more rapidly when the substrate temperature is high.
Continuation methods for nonnegative rank‐1 approximation of nonnegative tensors

In this article, the rank‐1 approximation of a nonnegative tensor 𝒜∈ℝ⩾0n1×…×nm is considered. Mathematically, the approximation problem can be formulated as an optimization problem. The Karush–Kuhn–Tucker (KKT) point of the optimization problem can be obtained by computing the nonnegative Z‐eigenvector y of enlarged tensor 𝒢 . Therefore, we propose an iterative method with prediction and correction steps for computing nonnegative Z‐eigenvector y of enlarged tensor 𝒢 , called the continuation method. In the theoretical part, we show that the computation requires only O(∏i=1mni) flops for each iteration and the computed Z‐eigenvector y has nonzero component block, and hence, the KKT point can be obtained. In addition, we show that the KKT point is a local optimizer of the optimization problem. Numerical experiments are provided to support the theoretical results.
Wear-Out Mechanism of Press-Pack IGBTs Under Accelerated Aging Test

The study of wear-out mechanism of press-pack insulated-gate bipolar transistors (IGBTs) (PPIs) is conducted insufficiently now. In this article, both the numerical and experimental methods are utilized to investigate the wear-out mechanism of PPIs. After conducting an accelerated aging test, three wear-out modes are observed: fretting scratches, cracks next to the additional metallization area, and oxidation of the additional metallization area. The oxidation of the additional metallization area is the newly found wear-out mode. In order to explain the deterioration mechanism of the modes, the fully coupled multiphysical model considering the aging state inside PPIs is utilized to analyze the temperature, pressure, and voltage distribution. The results show that fretting wear is the main reason for the three wear-out modes. First, the fretting scratches caused by fretting wear lead to the increment of surface roughness. The junction temperature and thermal resistance of the PPI both show approximately linear increment with surface roughness, while the saturation voltage remains unchanged. Second, high mechanical pressure during fretting wear results in the fatigue cracks next to the additional metallization area. Finally, it is found that the fretting wear also leads to the oxidation of the additional metallization area.
Multilevel Analysis of Protest: Application for Small N Designs

Protest is the result of complex multilevel processes. It is triggered by contextual factors such as political opportunities or events, it depends on organizations’ mobilizing capacity as well as on the type of people who protest, and it is shaped by the characteristics of the populations they come from. To effectively study the antecedents that operate at various levels, social movement research needs to integrate data from multiple analytical levels and systematically examine the relationships across the various levels. While large N statistical techniques of multilevel modelling are well understood, less is known about applying multilevel analysis research examining small number of cases. The article develops conceptual and methodological tools for multilevel analysis of protests in studies with a small number of cases. First, it demonstrates the empirical requirements associated with analyzing three types of multilevel effects: contextual effects, composition effects, and cross-level interactions. Next, specific multilevel small N designs that can be used to examine the three multilevel effects are presented. The last section uses the multilevel approach to examine the demobilization of anti-Iraq War protests in the United States.
THE DYNAMIC INTERRELATION OF VN-INDEX AND MAJOR WORLD STOCK MARKETS: BAYESIAN DCC-GARCH APPROACH

Received: 16/4/2021 This study examined the time-varying interrelation of the Vietnam stock market index (VN-index) and other major stock markets in the world including the New York Stock Exchange (NYSE), Japanese stock market (Nikkei), and European New Exchange Technology (Euronext). Instead of using a constant correlation, we employed the idea of a dynamic correlation in which the relationships between stock markets change overtime. This approach helps to identify the volatility of assets’ interrelation in different stock market cycles. To achieve this, we employed the multivariate time series model, DCC-GARCH model, which fits GARCH model to each of univariate time series and uses their standardized residuals to find the dynamic conditional correlation between each time series. We improved the estimation process of this model by using the Bayesian estimation approach. Our empirical results found that the linkages between VN-index and three major stock markets were always positive and the contagions were consistently transferred stronger during the distress time of global finance. Revised: 13/5/2021
Nature‐inspired resource management and dynamic rescheduling of microservices in Cloud datacenters

Distributed Cloud environments are now resorting to Cloud applications composed of heterogeneous microservices. Cloud service providers strive to provide high quality of service (QoS) and response time is one of the key QoS attributes for microservices. The dynamism of microservice ecosystems necessitates runtime adaptations and microservices rescheduling to avoid performance degradation. Existing works target rescheduling in hypervisor‐based systems, while ignoring the influence of configuration parameters of container‐based microservices. In an effort to address these challenges, this article describes a novel microservice rescheduling framework, throttling and interaction‐aware anticorrelated rescheduling for microservices, to proactively perform rescheduling activities whilst ensuring timely service responses. Based on periodic monitoring of the performance attributes, the framework schedules container migrations. Considering the exponentially large solution space, a metaheuristic approach based on multiverse optimization is developed to generate the near‐optimal mapping of microservices to the datacenter resources. Experimental results indicate that our framework provides superior performance with a reduction of up to 13.97% in the average response time, when compared with systems with no support for rescheduling.