Miracle-dz/UniFAR-FTUs huggingface dataset:
The Scaling laws of Spatial Structure in Social Networks

Social network structure is very important for understanding human information diffusing, cooperating and competing patterns. It can bring us with some deep insights about how people affect each other. As a part of complex networks, social networks have been studied extensively. Many important universal properties with which we are quite familiar have been recovered, such as scale free degree distribution, small world, community structure, self-similarity and navigability. According to some empirical investigations, we conclude that our social network also possesses another important universal property. The spatial structure of social network is scale invariable. The distribution of geographic distance between friendship is about $Pr(d)\propto d^{-1}$ which is harmonious with navigability. More importantly, from the perspective of searching information, this kind of property can benefit individuals most.
Randomized resolvent analysis

Performing global resolvent analysis for high-Reynolds-number turbulent flow calls for the handling of a large discrete operator. Even though such large operator is required in the analysis, most applications of resolvent analysis extracts only a few dominant resolvent response and forcing modes. Here, we consider the use of randomized numerical linear algebra to reduce the dimension of the resolvent operator for achieving computational speed up and memory saving compared to the standard resolvent analysis. To accomplish this goal, we utilize sketching of the linear operator with random test matrices with a Gaussian distribution and with insights from the base flow incorporated to perform singular value decomposition on a low-rank matrix holding dominant characteristics of the full resolvent operator. The strength of the randomized resolvent analysis is demonstrated on a turbulent separated flow over an airfoil. This randomized approach clears the path towards tackling resolvent analysis for higher-Reynolds number bi- and tri-global base flows.
A new strategy to conceal an object from electromagnetic wave

A new recipe for concealing objects from detection is suggested. Different with traditional cloak which deflects light around the core of the cloak to make the object inside invisible, our cloak guides the light to penetrate the core of the cloak but without striking some region of the cloak shell - the so called folded region. Full wave analytical calculation shows that this cloak will lead to a scattering enhancement instead of scattering reduction in contrast to the traditional cloak; the scattered field distribution can also be changed as if the scatterer is moved from its original position. Such interesting phenomenon indicates the proposed cloak can be used to disguise the true information of the object, e.g. the position, the size, etc, and further mislead the observer and avoid being detected.
The Syntax of (Anti-)Causatives: External Arguments in Change-Of-State Contexts

This book develops an approach to the causative alternation that assumes syntactic event decomposition and a configurational theta theory. It is couched within the framework of the Minimalist Program and, especially, within Distributed Morphology. Central to the work is the syntax and semantics of canonical external arguments of causative verbs as well as of oblique causers and causative PPs in the context of anticausative verbs in different languages such as Germanic, Romance, Balkan, and Caucasian languages. The book also develops a new account of the origin and nature of the morphological marking which is often found on anticausatives across languages. The main claim is that this morphology is a reflex of a syntactic way to prohibit the assignment of the external theta role. Moreover, the book develops an account about the origin of the implicit agent in generic middles which often bear the same morphology as marked anticausatives.
Urban Avian Conservation Planning Using Species Functional Traits and Habitat Suitability Mapping

Urbanization adversely impacts biodiversity by reducing the quantity and quality of natural habitat areas. Additionally, the quality of natural habitat depends on its bio-physical characteristics (e.g., natural cover, impervious surfaces, urban tree canopy) as well as the functional traits of species inhabiting them (e.g., breeding/foraging habitat requirements). To better plan conservation of regional biodiversity in urbanized landscapes, it is therefore critical to assess the relationship between the landscape and the response of key Functional Trait Groups (FTGs) of species. To identify different FTGs of 116 avian species in the urbanized landscape of the Toronto region (Canada), we conducted a Functional Trait Analysis (FTA) using RLQ-fourth corner analysis. We focused on four species traits (diet, foraging, nesting, and territoriality) to identify the FTGs and their association with natural cover and landscape characteristics (landcover types, patch quality, habitat connectivity). Then, to predict FTG presence in relation to the landscape characteristics, we performed a Habitat Suitability Analysis (HSA). From this analysis, we found 21 avian FTGs with different habitat suitability values that correspond to forested patches and wetlands. The HSA for tree canopy, forest insectivore, and ground-nesting birds (or FTGs) have higher suitability values within forest patches, while aerial insectivores have higher suitability values in older residential neighborhoods indicating the value of the urban tree canopy. This methodological approach shows that by mapping habitat suitability by FTG one can identify strategic conservation areas that target multiple species, shifting efforts from a single species to a community-based functional focus. Our study highlights the conservation value of remnant and/or restored habitat patches in near urban and urban landscapes that help to maximize the persistence of regional avian biodiversity.
Research on face recognition based on residual neural network

The application scenarios of face recognition are very wide, and it has become a research hotspot in the field of computer vision. The deep learning technology represented by the convolutional neural network has shown great advantages in the field of face recognition. Its network structure is developing in a deeper and wider direction, and has achieved better and better recognition results. Due to its complex structure, the training is difficult to converge and occupies a large amount of memory and takes a long time to load, which is not conducive to the application in practical engineering. In order to solve this problem, this paper studies the application of deep learning in the field of face recognition, and proposes an improved residual neural network. On the basis of the original model, this model sacrifices less accuracy, and improves the speed of face recognition to a greater extent. This makes the model of great significance in the field of engineering practice.
Urban indicators and its correlation in the municipal wards of Neyyattinkara, Kerala

The studies on urban sprawling are mainly concentrated on the growing indicators of development of a region. Housing density, Population density, Road networks are the important driving factors behind the expansion of urban land in the study area. Such rapid expansion of urban land in the municipal wards demands more quality land for road networks, housing, and other amenities. Proper identification of demanding centers(municipal wards) in the towns may help to adopt new urban policies to the growing needs of the society. The present study focuses on the urban sprawl of Neyyattinkara municipal wards and it is influencing factors such as the density of the road network, house density, and population density. Keywords Urban sprawl, urban indicators, road density, house density, urban development
“Queremos impeachment”: analisando os comentários de leitores do G1 sobre Jair Bolsonaro através de uma rede de palavras

O G1 é o site noticioso com a maior quantidade de acessos no país. No entanto, há um cenário de deslegitimação da mídia tradicional, em que pessoas acusam estes veículos de atuarem a favor de uma suposta agenda política. Dado o fenômeno da extrema direita que se materializa no Brasil através do governo de Jair Bolsonaro, destaca-se a importância de estruturar esta textualidade que reflete a opinião dos leitores do G1. O tema desta pesquisa é o desenvolvimento de uma rede de coocorrência lexical dos comentários do G1 que contém a palavra “bolsonaro”. O objetivo é analisar os comentários do G1 que contém a palavra “bolsonaro”. Para isso, 90 mil comentários foram estruturados em uma rede de palavras através de um algoritmo de coocorrência lexical. Dentre outras constatações, foi evidenciado que muitas pessoas desejam o impeachment do presidente. As principais contribuições deste estudo são o desenvolvimento do método e os dados quantitativos que foram elencados acerca desta temática.
Discussion on the application prospects of the third-generation solar cell

The photovoltaic power system is the most rapidly developing and promising renewable energy industries current. And the market nowadays is dominated by silicon-based solar cells, while the structure and the material for the more advanced third-generation solar cell have been proposed. For the different designs, the application is varied. Like for satellite, the solar panel is mainly made from GaAs, while the photovoltaic on the ground is silicon- based due to the cost for generation, producing efficiencies, mature producing technologies, and supporting industries. The aim of this work is to introduce the three types of third-generation solar cells and evaluate their latest electrical performance. On the other hand, the field for the application is presented, which can be helpful for the analysis of applications for different solar cells. A concise table for comparison is provided at the end to summarize their performance concerning the applications fields.
Callicarpa dichotoma Leaf Extract Alleviates Atopic Dermatitis through the Suppression of T Cells and Keratinocytes Activation

Atopic dermatitis (AD) is a highly recurrent chronic inflammatory skin disease, characterized by severe itching, immune imbalance, and skin barrier dysfunction. Damage to the skin barrier function is known to be the main cause of Th1/Th2 immune imbalance, due to the Th2-mediated immune response, and pro-inflammatory cytokines, including IL-4, IL-5, IL-13 and IL-31 and it plays an important role in further eliciting the environment of AD through stimulation. Currently, the most widely used drugs for the treatment of AD are corticosteroids, antihistamines and immunosuppressants (used by more than 60% of patients), which are reported to exhibit various side effects when taken for a long time. Therefore, interest in the physiological activity of safer plant-derived natural extracts is increasing. Callicarpa dichotoma is traditionally used in oriental medicine for bruises, habitual pain, gastric and postpartum hemorrhage. Recent studies have reported that it exhibits antioxidant anti-inflammatory and anti-hepatotoxic activity, but the role and activity of C. dichotoma in AD have not yet been studied. Therefore, in this study, the new physiological activity of C. dichotoma in the AD environment was investigated, suggesting its potential as a natural therapeutic agent.
Leading in the Age of the Fourth Industrial Revolution – A Perspective from Vietnam

The purpose of this study was to determine new leadership styles in the context of the level of development of the Vietnamese economy in the last years and what is likely to happen in the next 10 years or more. Another aim was to create the combination of leadership best thinking that will enable Vietnamese leaders to adapt successfully in the implementation of the fourth industrial revolution (4IR) in Vietnam. The 4IR is fundamentally different because it involves the fusion of a range of new technologies that link the physical, digital and biological worlds, impacting all disciplines, economies, and industries. Transformational analysis in combination with documents review, in-depth interviews with Delphi technique in VUCA (Volatile, Uncertain, Complex and Ambiguous) environment with 64 top government leaders, researchers, and scholars. including hi-tech enterprises conducted to see the major characteristics and skills that a leader needs in the digitalization ages in the digitalization age. The study results were that there are five models of leadership in 4IR best practices: traditional leadership, transformational leadership, agile leadership, block-chain leadership, and human values and ethics. The principal conclusion was that the more resilience Vietnam is ready, the more successful Vietnam will achieve beyond the 4IR.
Adapted Behavioural Activation for Bipolar Depression: A Randomised Multiple Baseline Case Series

Behavioural Activation (BA) is associated with a substantial evidence base for treatment of acute unipolar depression, and has promise as an easily disseminable psychological intervention for bipolar depression. Using a randomised multiple baseline case series design we examined the feasibility and acceptability of an adapted version of BA in a U.K. outpatient sample of 12 adults with acute bipolar depression. Participants were allocated at random to a 3–8 week wait period before being offered up to 20 sessions of BA. They completed outcome measures at intake, pre- and post-treatment and weekly symptom measures across the study period. Retention in therapy was high (11/12 participants completed the target minimum number of sessions), and all participants returning acceptability measures reported high levels of satisfaction with the intervention. No therapy-related serious adverse events were reported, nor were there exacerbations in manic symptoms that were judged to be a result of the intervention. The pattern of change on outcome measures is consistent with the potential for clinical benefit; six of the nine participants with a stable baseline showed clinically significant improvement on the primary outcome measure. The findings suggest adapted BA for bipolar depression is a feasible and acceptable approach that merits further investigation.
A Galactic O Star Catalog

We have produced a catalog of 378 Galactic O stars with accurate spectral classifications that is complete for V < 8 but includes many fainter stars. The catalog provides cross-identifications with other sources; coordinates (obtained in most cases from Tycho-2 data); astrometric distances for 24 of the nearest stars; optical (Tycho-2, Johnson, and Strömgren) and NIR photometry; group membership, runaway character, and multiplicity information; and a Web-based version with links to on-line services.
Biological control properties of microbial plant biostimulants. A review

ABSTRACT Plant biostimulants, sometimes referred to as biofertilisers or plant enhancers, are ingredients stimulating plant nutrition processes independently of the product’s nutrient content with the sole aim to improve the agronomic performance of a plant. Many of these biostimulants contain microorganisms. Although most of these microorganisms are supposed to only promote plant growth, some have plant protection properties. We reviewed commercial microbial plant biostimulants with regard to their potential effects on insects. This revealed 483 different products and 245 microorganisms registered as microbial plant biostimulants in Hungary, Switzerland, Spain, France, Indonesia, and/or Canada (181 ± 157 products, 64 ± 27 species per country). Among the products, 82% contained bacteria (133 ± 106 products), 63% contained fungi (77 ± 59) and 14% contained protista including algae (23 ± 24). About 1/3rd of products contained mixes of either bacteria, fungi, and/or protista; and 48% contained more than one microorganism. About 53% of products (137 ± 121) contained microorganims that had been reported to have insecticidal properties and 36% of species (23 ± 9), although the underlaying mechanisms often remain unknown. About 67% of products (149 ± 133) contained microorganisms reported to defend a plant from insects, and 54% of species (35 ± 10). The most common biostimulant microorganisms with reported insecticidal effects were strains of Rhizophagus irregularis, followed by Bradyrhizobium japonicum, Rhizobium leguminosarum, Bacillus megaterium, B. subtilis, B. amyloliquefaciens, B. licheniformis, Penicillium bilaiae, B. pumilus and Ascophylum nodosum. In conclusion, growers may profit from, but should be made aware of the multiple effects of microbial plant biostimulants.
Theoretical and Numerical Study of Self-Organizing Processes in a Closed System Classical Oscillator and Random Environment

A self-organizing joint system classical oscillator–random environment is considered within the framework of a complex probabilistic process that satisfies a Langevin-type stochastic differential equation. Various types of randomness generated by the environment are considered. In the limit of statistical equilibrium (SEq), second-order partial differential equations (PDE) are derived that describe the distribution of classical environmental fields. The mathematical expectation of the oscillator trajectory is constructed in the form of a functional-integral representation, which, in the SEq limit, is compactified into a two-dimensional integral representation with an integrand: the solution of the second-order complex PDE. It is proved that the complex PDE in the general case is reduced to two independent PDEs of the second order with spatially deviating arguments. The geometric and topological features of the two-dimensional subspace on which these equations arise are studied in detail. An algorithm for parallel modeling of the problem has been developed.
Why fog increases the perceived speed

Abstract In the first experiment we investigated the effect of reduced visibility on the produced speed in a driving simulation. Participants were required to drive at a target speed of 90 km/h in different visibility conditions. We found that when realistic fog was simulated, the driving speed was reduced accordingly to the fog density. When a uniform reduction of the image contrast was implemented, no effects were observed on the produced speed. We speculated that fog reduces selectively the visibility of the distant region of the scene and leaves visible only the proximal area that contains high angular velocities. We hypothesized that the perceived speed is then biased by the available raw velocity signals from the visual field. In the second experiment we addressed the question whether the observed behavioral effect has indeed a perceptual origin. In a psychophysical task we asked the participants to estimate the speed of moving scenes when the sight was limited either to the periphery (high angular velocities) or to the center (low angular velocities) of the field of view. According to our hypothesis, we found that when the central region was occluded, the speed at the periphery was perceived as being higher, and conversely, when the peripheral region was missing the speed at the center was perceived as being lower. We conclude that the speed reduction while driving in fog is due to a non-optimal perceptual compensation for the hidden central region with low angular velocities, which causes an overestimation of the driving speed.
Use of GnRH Treatment Based on Pregnancy-Associated Glyco-Proteins (PAGs) Levels as a Strategy for the Maintenance of Pregnancy in Buffalo Cows: A Field Study

Simple Summary Embryonic mortality (EM) is one of the leading causes of infertility in modern breeding. This results in a reduction in reproductive performance, significant economic losses and can affect the environmental impact. The introduction of intensive breeding systems and the selection of high-production animals have accentuated EM, also in buffalo. This study aimed to verify if GnRH treatment at 35 days after artificial insemination of subjects identified at risk of embryonic mortality on the basis of pregnancy-associated glycoprotein (PAG) levels, could reduce EM in buffalo. Abstract The aim of the study was to evaluate the effects of GnRH administrated at day 35 after artificial insemination (AI) on the reproductive performance of buffalo cows. In ten buffalo farms in the period January–February, 481 buffalo cows were subjected to estrus synchronization protocol and fixed-time artificial insemination (Ovsynch–TAI program). Radioimmunoassays (RIA) for pregnancy-associated glycoproteins (PAGs) were used to detect pregnancy at day 28 after AI (cut-off value: ≥1 ng/mL). Among pregnant subjects, those with PAG values between 1 and 2.5 ng/mL were considered at risk of embryonic mortality (EM) and were assigned into two groups: treated (T; n = 57) control (C; n = 57). Treated buffaloes received 0.01 mg of buserelin acetate intramuscularly on day 35 after AI, whereas control buffaloes received no treatment. The pregnancy diagnosis was confirmed at day 60 through PAGs level and rectal palpation. The treatment with GnRH had a significant effect (p < 0.001) in reducing EM. Between days 28 and 60 after AI, the animals that experienced EM were only 2/57 in the T group, while were 13/57 in the C group. Moreover, GnRH treatment produced a significant increase (p < 0.001) in the PAG concentration between day 28 and day 60. Administration of GnRH at day 35 after AI in animals considered at risk of low embryo survival based on PAG levels allowed a reduction in pregnancy losses and improved the pregnancy rate during low-breeding season in buffalo.
Nurses' Knowledge and Practices on Inadvertent Perioperative Hypothermia in the Pre-and Post-Operative Period: A Descriptive Study

ABS TRACT Objective: Although many attempts to prevent inadver- tent perioperative hypothermia are known, most surgical patients de-velop inadvertent perioperative hypothermia. Inadvertent perioperative hypothermia can cause serious complications such as surgical site infection, morbidity, mortality, increased health care costs, and prolonged hospital stay. The aim of this study is to determine the knowledge and practice of nurses regarding involuntary perioperative hypothermia in the pre- and postoperative period. Material and Methods: The research was carried out as a descriptive study with 144 nurses working in the surgical clinics and intensive care units of a tertiary university hospital between 01 September-01 November 2021. The data were col- lected with the “Survey Form”, “Inadvertent Perioperative Hypothermia Information Form” and “Application Form for Preventing Inadvertent Perioperative Hypothermia Development”. Data were eval-uated using SPSS 25 statistical package program, number, percentage, mean, standard deviation, Kruskal-Wallis Test, Mann-Whitney U Test. Results: The mean age of the nurses was 32±6.91, and the mean inad- vertent perioperative hypothermia knowledge score was 59.09±15.63. It was determined that 79.9% of the nurses did not receive information about inadvertent perioperative hypothermia, 79.9% did not attempt to warm the patients in the preoperative period, and 73.6% of them used blankets to increase the body temperature in patients with postoperative body temperature below 36°C. It was determined that the mean knowl- edge score of the nurses who received information about inadvertent perioperative hypothermia (65.64±13.37) was significantly higher than those who did not (56.12±15.73). Conclusion: It has been determined that the knowledge and practices of the surgical nurses, who are respon- sible for pre- and postoperative patient care, regarding inadvertent perioperative hypothermia are insufficient. Accordingly, it can be said that nurses should follow the current guidelines for involuntary perioperative hypothermia and that in-service training is needed at regular intervals.