Microsoft Academic Research Articles

Athletes' Confidence and Anxiety Management: A Review in Achieving Optimal Sport Performance

Every athlete must develop confidence to excel in their athletic endeavors. Athletes who develop confidence can overcome anxiety and achieve their goals. Because of the expectations that come with professional sports, even the best athletes experience anxiety. We looked up information on the role confidence plays in sports performance, anxiety in sports performance, causes of anxiety, anxiety management in athletes, and optimal athletic performance on Google Scholar, Microsoft Academic, PubMed, ProQuest, and Cochrane Library. According to the findings of this review, for athletes to achieve peak athletic performance, coaches, trainers, and sport psychologists must instill sports confidence in them. This must be based on the athlete's needs and may include determining where and how the athlete gains confidence, as well as ensuring that everything remains strong while training for a competition. Athletes and those who work with them should be aware of how anxiety can affect cognitive appraisals, physiological arousals, and, ultimately, performance in a variety of performance-related situations.

Contribution to the knowledge of the Family Bibionidae (Insecta: Diptera)

Bibionidae, like other Bibionomorpha, are found primarily on decaying wood, humus-rich soil, and roots. In some cases, they can cause damage to cultivated plants. Some species emerge and fly in large groups. They can be collected using Malaise traps or by netting after emerging. Larvae can be serious agricultural pests, adults are important pollinators and sometimes the only ones, especially of orchids. The objective of this paper is to contribute to the knowledge of the Family Bibionidae. For this, a bibliographic survey of Bibionidae was carried out in the years 1949 to 2021. Only complete articles published in scientific journals and expanded abstracts presented in national and international scientific events were considered. Data were also obtained from platforms such as: Academia.edu, Frontiers, Qeios, Pubmed, Biological Abstract, Publons, Dialnet, World, Wide Science, Springer, RefSeek, Microsoft Academic, Science and ERIC.

A Voyage into the Visualization of Athletic Performances: A Review

Every athlete's path includes visualization as a tool for improving performance and developing plans to achieve their goals. Visualization assists individuals in visualizing how they wish to perform in their chosen sporting event. Every athlete believes and understands that visualization is what they require to achieve their goals. In this review paper, researchers examine both quantitative and qualitative research methods to describe the power of visualization; why it is important for every athlete; visualization methods used by athletes; the effects of visualization on athletic performance; and visualization techniques in sports. A literature review was conducted on several published peer-reviewed journal articles, but only articles from 2015–2022 and those written in the English language were considered for inclusion in this study. Researchers made use of search engine like Google Scholar, Microsoft Academic, ProQuest, PLoS One, Cochrane Library, and Microsoft Academic databases for information. Several articles were related to the subject, but only a few text articles were used for this review. In conclusion, the reviewed articles demonstrated that what coaches, trainers, physical educators, and sports teachers need to do is provide more assistance to help our athletes build more effectiveness in visualization to improve their sporting performance, which will serve as a fantastic tool that they may utilize to establish the mentality needed to attain long-term and short-term goals and teach younger athletes visualization, it's important to do it in a way that's easily accessible and fun for them.

Dactylopius opuntiae Cockerell (Hemiptera: Dactylopiidae), an emerging global threat for Opuntia spp: a bibliometric analysis

Dactylopius opuntiae Cockerell (Hemiptera: Dactylopiidae) is a worldwide successful biological control agent for some invasive Opuntia Mill. (Caryophyllales: Cactaceae) species, and a primary pest where this species is commercially cultivated, which has renewed its scientific interest. Therefore, this research characterized regularities of the scientific production and identified emerging research trends on D. opuntiae, using one-dimensional and multidimensional bibliometric indicators. The search and retrieve of metadata from nine scientific publications databases (Biological Abstracts, Cab abstracts, Crossref, Google Academic, Dimensions, Microsoft Academic Search, Science Citation Index Expanded, Scopus, and Zoological Record) was condensed into a 193 documents collection, spanning from 1848 to 2021 using the Zotero® bibliographic reference manager. Publish or Perish® and Excel® were used to generate one-dimensional indicators and VOSviewer® for multi-dimensional indicators. Eighty percent of the publications on D. opuntiae were registered in the last 20 years, which denotes the specie´s recently acquired importance. The addressed topics in the two assessed periods showed drastic changes, since, while in the first period (1848-2000) these were directed, particularly, to its applications as a biological control agent for various Opuntia species; during the next period (2001-2021), they focused on generating strategies for its eradication and control. A high number of non-peer-reviewed publications were not included in our studies, such as serials, books, theses, and conference proceedings. Despite the recent interest in D. opuntiae and the growing number of scientific documents, no previous publications were found that address this issue. Finally, the research allowed for the identification of emerging research trends and showed their locations and who makes up the clusters or research groups, and the addressed topics, which could facilitate collaboration networks establishment and contribute to the scientific development of D. opuntiae.

A dataset of mentorship in bioscience with semantic and demographic estimations

Mentorship in science is crucial for topic choice, career decisions, and the success of mentees and mentors. Typically, researchers who study mentorship use article co-authorship and doctoral dissertation datasets. However, available datasets of this type focus on narrow selections of fields and miss out on early career and non-publication-related interactions. Here, we describe Mentorship, a crowdsourced dataset of 743176 mentorship relationships among 738989 scientists primarily in biosciences that avoids these shortcomings. Our dataset enriches the Academic Family Tree project by adding publication data from the Microsoft Academic Graph and “semantic” representations of research using deep learning content analysis. Because gender and race have become critical dimensions when analyzing mentorship and disparities in science, we also provide estimations of these factors. We perform extensive validations of the profile–publication matching, semantic content, and demographic inferences, which mostly cover neuroscience and biomedical sciences. We anticipate this dataset will spur the study of mentorship in science and deepen our understanding of its role in scientists’ career outcomes.

A descriptive analysis of collective intelligence publications since 2000, and the emerging influence of artificial intelligence

Collective intelligence (CI) is an interdisciplinary field that draws on a wide range of academic disciplines but has struggled to capitalise on cross-pollination between fields, particularly ones which do not self-identify with the collective intelligence label. Past studies have largely undertaken a qualitative and manual approach to classifying different trends in the CI literature. This method risks missing a significant proportion of publications in the field. To this end, we present the first attempt to reflect the field to itself through an automated and quantitative descriptive approach using Microsoft Academic Graph (MAG) to collect and analyse 39,334 CI papers. We further focus our investigation on a subset of the CI literature, at the intersection of artificial intelligence (AI) and CI to understand how these two fields are interacting. We show that while the annual number of CI-only publications has remained steady since 2015, AI+CI research has continued to increase. Publications in the crossover of AI+CI are growing at a faster rate than CI-only papers but show less topical and disciplinary breadth. This may be having a spillover effect on the topical focus of non-AI collective intelligence research. We hope this analysis sheds more light on the dynamics of the CI ecosystem.

Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach

• We present a novel approach for identifying clusters in a set of citation-based networks to map out interdisciplinary specialty structures. • An ensemble of null network models was adopted to test the (inter)disciplinary composition of bibliometric clusters. • By exploiting an original dataset, we illustrate our approach through the case of an important knowledge domain — social media data-based research. • We add to the literature on the domain of social media data-based research by detecting an increasingly interdisciplinary trend. As science is becoming more interdisciplinary and potentially more data driven over time, it is important to investigate the changing specialty structures and the emerging intellectual patterns of research fields and domains. By employing a clustering-based network approach, we map the contours of a novel interdisciplinary domain – research using social media data – and analyze how the specialty structures and intellectual contributions are organized and evolve. We construct and validate a large-scale (N = 12,732) dataset of research papers using social media data from the Web of Science (WoS) database, complementing it with citation relationships from the Microsoft Academic Graph (MAG) database. We conduct cluster analyses in three types of citation-based empirical networks and compare the observed features with those generated by null network models. Overall, we find three core thematic research subfields – interdisciplinary socio-cultural sciences, health sciences, and geo-informatics – that designate the main epicenter of research interests recognized by this domain itself. Nevertheless, at the global topological level of all networks, we observe an increasingly interdisciplinary trend over the years, fueled by publications not only from core fields such as communication and computer science , but also from a wide variety of fields in the social sciences, natural sciences, and technology. Our results characterize the specialty structures of this domain at a time of growing emphasis on big social data, and we discuss the implications for indicating interdisciplinarity.

Non-linearity between referencing behavior and citation impact: A large-scale, discipline-level analysis

References formulate the foundation and endorsements of scientific research. Using articles published in 2005 covered by Microsoft Academic Graph, the current paper defines and calculates five indicators of references, i.e., the number of references, the number of citations of references, the age of references, the number of nodes in a reference cascade (a multi-generation reference network), and the density of bibliographic coupling networks by references, and investigates their relations with the citation impact of the focal publication. A non-linear relationship is shown in all the five indicators; specifically, we observe two types of patterns, namely inverted-L and -U relations, both presenting the existence of critical points. We further explore the discipline-level differences of such a relationship and how it relates to the characteristics of the discipline itself. Among all five indicators, the effect of disciplinary academic “environments” is universally identified. We believe that the current paper provides insightful views to the discussion regarding the significance of a reference list.

Dataset of identified scholars mentioned in acknowledgement statements

Acknowledgements represent scholars’ relationships as part of the research contribution. While co-authors and citations are often provided as a well-formatted bibliometric database, acknowledged individuals are difficult to identify because they appear as part of the statements in the paper. We identify acknowledged scholars who appeared in papers published in open-access journals by referring to the co-author and citation relationships stored in the Microsoft Academic Graph (MAG). Therefore, the constructed dataset is compatible with MAG, which accelerates and expands the acknowledgements as a data source of scholarly relationships similar to collaboration and citation analysis. Moreover, the implemented code is publicly available; thus, it can be applied in other studies.

DAC: Descendant-aware clustering algorithm for network-based topic emergence prediction

• Authors are more topically similar when they are from multigraph clusters. • Changes in the definition of topics lead to more human-readable topics. • Topics from only meta-data of the publication records show higher topical coherence. • Use of multiple bibliographic networks is beneficial to author-based topic modeling. • Author-based topic modeling allows effective merge/split topic evolution tracking. Topic emergence detection aids in pinpointing prominent topics within a given domain, providing practical insights into all interested parties on where to focus the limited resources. This paper employs the network-based topic evolution approach to overcome limitations in text-based topic evolution, providing prospective topic emergence prediction capabilities by representing emergent topics by their ancestors. A descendant-aware clustering algorithm is proposed to generate non-exhaustive and overlapping clusters, utilizing the pace of collaborations and structural similarities between topics with iterative edge removal and addition processes. Over 100 datasets specific to a research topic were extracted from the Microsoft Academic Graph dataset for the experiments, where the proposed algorithm consistently outperformed existing clustering algorithms in generating clusters with a higher likelihood of being ancestors to an emergent topic up to three years in the future. Regression-based cluster filtering using five structural cluster features and topic cluster qualities showed that the prediction performance can be enhanced by automatically classifying undesirable clusters from previously known data. The results showed that the proposed algorithm can enhance topic emergence predictions on a wide range of research domains regardless of their maturities, popularities, and magnitudes without having access to the data in the predicted year, paving a road to prospective predictions on emergent topics.

Barriers and Opportunities for Physical Activities: A Way Forward for Pregnant Individual

A woman's physical activity may change during pregnancy, a life-changing event. Working individuals, middle-aged adults, pregnant women, and seniors all have greater health and wellbeing when they participate in leisure activities. Improvements in physiological, metabolic, and psychological factors as well as a lower risk of illness and death are linked. According to current recommendations, both pregnant and non pregnant people should exercise moderately every day for at least 30 minutes. To pave the way for appropriate and sufficient physical activities that best suit pregnant women's conditions, the goal of this review was to examine the adequate physical activities for pregnant women, pregnant women's exercise ideas, barriers to physical activity, suggestions for overcoming physical activity barriers, and benefits associated with physical activities for pregnant women. The most current studies on the barriers pregnant women face while engaging in physical activity and the associated advantages they can provide will be discussed. Data was taken from a variety of literature reviews that have been published in peer-reviewed journal articles, but only English-language studies that had been published between 2015 and 2022 were taken into consideration for this study. For information, researchers used the databases of Google Scholar, Microsoft Academic, ProQuest, PLoS One, Cochrane Library, JSTOR, Microsoft Academic, and Pubmed. Although there were several papers on the issue, only a small number of text pieces were included for this review. According to the reviewed articles, the studies pointed to the fact that exercise and recreation in the second and third trimesters lower the risk of caesarean birth. Thus, improved strategies to engage pregnant women in physical activities would be welcome.

Health and Happiness: The Upshot of Recreational Activities for Elderly People

Recreational activities can meet a range of needs for elderly people as well as people of all ages, creating good health and happiness. Increased health and fitness are key benefits of recreation for the elderly population. Activities provide opportunities for socializing, utilizing skills and abilities earned over their lives, and learning new skills. The aims of this review were to emphasize the relevance of leisure activities for elderly people, aging and quality of life, leisure activities and physical health, leisure activities and well-being, mental health and well-being, and leisure and social connectedness. A literature review was conducted on several published peer-reviewed journal articles, but only articles from 2015–2021 and those written in the English language were considered for inclusion in this study. Researchers searched Google Scholar, Microsoft Academic, ProQuest, PLoS One, Cochrane Library, JSTOR, Microsoft Academic databases, and Pubmed for information. Several articles were related to the subject, but only a few text articles were used for this review. According to the reviewed articles, the studies pointed to the fact that elderly and agedpeople should be encouraged to participate in recreational activities throughout their lives to maintain and improve their health.

Check the biodiversity of the Lonchaeidae Family (Diptera)

Larvae (Lonchaeidae Family ) are found under the bark of trees, in tunnels made by bark beetles, in decaying wood and other decaying plant material or debris, such as manure. The larvae of some species form galls on plants (including cereals); others live on juicy fruits. Flies are found on tree trunks, stumps, cut wood, leaves, and in grass. Some species are agricultural pests. The aim of this manuscript was to carry out check the biodiversity of the Lonchaeidae Family (Diptera) related to its biogeography, bioecology, habitat, geographic distribution, taxonomy, life cycle, phenology and taxonomic and conceptual aspects of the Family, Subfamilies and Species. To this end, a bibliographic survey of Ichneumonidae was carried out in the years 1937 to 2022. Only complete articles published in scientific journals and expanded abstracts presented at national and international scientific events, Doctoral Thesis and Master's Dissertation were considered. Data were also obtained from platforms such as: Academia.edu, Frontiers, Qeios, Pubmed, Biological Abstract, Publons, Dialnet, World, Wide Science, Springer, RefSeek, Microsoft Academic, Science and ERIC.

Parasitic behavior of the larvae of the Conopidae family (Diptera: Conopidae)

Known larvae are parasitoids, most are parasitoids of Hymenoptera, particularly those of the Aculeata group, wasps and bees. Adult females are aggressive when they attack their hosts in flight to lay their eggs. The female abdomen is modified; it is like a can opener with which they can separate the segments of the abdomen of their victims to insert an egg. The Stylogastrinae subfamily, including the Stylogaster genus, is somewhat different. The egg is harpoon-shaped, capable of piercing the host's integument. Some species of Stylogaster are mutualistic with warrior ants. To know the parasitic behavior of the larvae of the Conopidae Family (Diptera: Conopidae). In this study, quantitative and conceptual aspects were used. To this end, a bibliographic survey of Conopidae was carried out in the years 1974 to 2021. Only complete articles published in scientific journals and expanded abstracts presented at national and international scientific events, Doctoral Thesis and Master's Dissertation were considered. Data were also obtained from platforms such as: Academia.edu, Frontiers, Qeios, Pubmed, Biological Abstract, Publons, Dialnet, World, Wide Science, Springer, RefSeek, Microsoft Academic, Science and ERIC.

Inequality of authors’ reference reuse

This brief communication finds a clear and universal inequality of authors’ reference reuse behaviour. We observe that a few references are reused many times in an author’s oeuvre while most of his or her references only occur in the reference list for quite a limited number of times. A power law distribution depicts such an inequality. We particularly utilise the power value, [Formula: see text], to characterise the nuanced difference of such inequalities. A pilot study based upon Microsoft Academic Graph (MAG) shows that the [Formula: see text] tends to be normally distributed, regardless of whether it is from a citing or a cited perspective. Our empirical study also reveals that the [Formula: see text] of highly cited publications tends to be greater than that of lowly cited ones, yet we also observe a saturation when the number of citations increases.

Antioxidants for the Prevention and Treatment of Non-communicable Diseases

Abiotic environmental stress causes plants and animals to produce excessive superoxide radicals that are extremely toxic and reactive, thereby causing injury to tissue resulting in the occurrence of several disorders. Antioxidants can counteract free radicals by preventing non-communicable diseases. There are natural and synthetic antioxidants. Natural antioxidants in fruits, vegetables, and spices can be consumed, while synthetic antioxidants are produced in laboratories via chemical processes. This review focused on the sources, pharmacological properties, applications, and prospects of natural and synthetic antioxidants, as well as exogenous and endogenous antioxidants. A literature search was done using different search engines like Google Books, Science.gov, Microsoft Academic, Worldwide Science, ResearchGate, Bielefeld Academic Search Engine (BASE), Medline, and PubMed Central. Different keywords, such as antioxidants, free radicals, oxidative stress, superoxide radicals, and oxygen radicals, were used. The relevant literature was collected and used in this review. Antioxidants inhibit oxidation and help to prevent non-communicable diseases, such as aging and inflammatory processes, tumors, kidney and liver diseases, coronary heart disease, cataracts, renal toxicity, and neurological diseases. It was found that antioxidants in the diet have the capacity to prevent oxidative anxiety-related disorders.

Biology, ecology and biogeography of Athericidae family (Hymenoptera: Athericidae)

Athericidae is a small family of flies with aquatic larvae, only 123 species are known, with two species registered in Brazil, Suragina pacaraima Rafael & Henriques, 1991 and Xeritha plaumanni Stuckenber, 1966. They are flies very close to horseflies, including some hematophagous adults, such as Suragina. They are called in English "water snipe flies" or "ibis flies". The study aims to carry out the Biology, Ecology and Biogeography of Athericidae Family. In this study, quantitative and conceptual aspects were used. A selection of articles published from 1912 to 2021. Only complete articles published in scientific journals and expanded abstracts presented at national and international scientific events, Doctoral Thesis and Master's Dissertation were considered. Data were also obtained from platforms such as: Academia.edu, Frontiers, Qeios, Pubmed, Biological Abstract, Publons, Dialnet, World, Wide Science, Springer, RefSeek, Microsoft Academic, Science and ERIC.

Description of the Diapriidae Family (Insecta: Diptera)

Diapriidae are commonly found in moist and shady habitats, where they can be very diverse; despite its abundance, little is known about its biology. The basal diapriids, Belytinae and Ambositrinae are probably parasitoids of larvae or pupae of Mycetophilidae and Sciaridae (Diptera). Diapriinae are mostly Diptera parasitoids (Brachycera and Cyclorrhapha), some species parasitize staphylinid and scarab (Coleoptera) larvae others are associated with Formicidae (or with dipterans associated with ants. Some species of Diapriidae were used in biological control programs for dipterans. The purpose of this article is to obtain description of the Family (Insecta: Hymenoptera). In this article, the bionomy of the Diapriidae Family will be studied. To this end, a bibliographic survey of Ichneumonidae was carried out in the years 1940 to 2021. Only complete articles published in scientific journals and expanded abstracts presented at national and international scientific events, Doctoral Thesis and Master's Dissertation were considered. Data were also obtained from platforms such as: Academia.edu, Frontiers, Qeios, Pubmed, Biological Abstract, Publons, Dialnet, World, Wide Science, Springer, RefSeek, Microsoft Academic, Science and ERIC.

Associations of mutillid wasps (Hymenoptera, Mutillidae) with eusocial insects

Although disturbing, this scenario is common within the Mutillidae, as the most striking feature is undoubtedly their marked sexual dimorphism: all known females are wingless and most males are winged, although some species have winged males. Reduced (brachypterous) or apterous. This extreme sexual dimorphism has historically led to numerous descriptions of new species, and even genera, based on a single sex, causing the family to remain poorly studied throughout the world. The objective of this paper is to verify the association of mutillid wasps (Hymenoptera, Mutillidae) with eusocial insects. To this end, a bibliographic survey of Mutillidae was carried out in the years 1937 to 2021. Only complete articles published in scientific journals and expanded abstracts presented at national and international scientific events. Data were also obtained from platforms such as: Academia.edu, Frontiers, Qeios, Pubmed, Biological Abstract, Publons, Dialnet, World, Wide Science, Springer, RefSeek, Microsoft Academic, Science and ERIC.

Mobile Colistin Resistance (mcr) Genes in Cats and Dogs and Their Zoonotic Transmission Risks.

Background: Pets, especially cats and dogs, represent a great potential for zoonotic transmission, leading to major health problems. The purpose of this systematic review was to present the latest developments concerning colistin resistance through mcr genes in pets. The current study also highlights the health risks of the transmission of colistin resistance between pets and humans. Methods: We conducted a systematic review on mcr-positive bacteria in pets and studies reporting their zoonotic transmission to humans. Bibliographic research queries were performed on the following databases: Google Scholar, PubMed, Scopus, Microsoft Academic, and Web of Science. Articles of interest were selected using the PRISMA guideline principles. Results: The analyzed articles from the investigated databases described the presence of mcr gene variants in pets including mcr-1, mcr-2, mcr-3, mcr-4, mcr-5, mcr-8, mcr-9, and mcr-10. Among these articles, four studies reported potential zoonotic transmission of mcr genes between pets and humans. The epidemiological analysis revealed that dogs and cats can be colonized by mcr genes that are beginning to spread in different countries worldwide. Overall, reported articles on this subject highlight the high risk of zoonotic transmission of colistin resistance genes between pets and their owners. Conclusions: This review demonstrated the spread of mcr genes in pets and their transmission to humans, indicating the need for further measures to control this significant threat to public health. Therefore, we suggest here some strategies against this threat such as avoiding zoonotic transmission.