Scientific Community Research Articles

Designing tests for some motor abilities and predicting the level of performance skill for academic school football players aged (13-14) years

The study aims to design tests to measure some motor abilities in the study sample, to find standard grades and levels for some tests of motor abilities in the study sample, preparing equations to predict the level of performance skill of soccer players in terms of mobility tests in the research sample. The researcher used the descriptive approach, and the research community was selected from football academy players aged (13-14) years in Raparin. The research sample was selected intentionally, which included (260) players. So as to reach the results, the researcher used a set of statistical programs by using SPSS. It was concluded to find and determine the grades and standard levels modified for the research sample in the motor tests, determining an equation to predict the level of performance skill in terms of motor abilities. It is recommended that the prediction equation can be adopted as indicators through which the components of motor abilities are determined and the possibility of upgrading it according to the time period of the preparation stage to reach the level of competition.

Analysis of the Principle of Gravitational Wave Detection and State- of-art Results

Over one hundred years after Einstein’s first theoretical prediction of gravitational waves, the recent observations of gravitational waves by interferometric detectors have risen excitement in the science community with the light from a new era of directly observing perturbations in spacetime itself. With the large quantity of new research in the gravitational wave detection area, this study provides a brief summary of the current achievements of the field. This paper first gives a short introduction of the field, then offers a summarize of the theories and principles of gravitational wave detection. Afterwards, it demonstrates modern detectors using the advanced LIGO detectors as an example, and presents its groundbreaking results, signal GW150914 and GW151226. Finally, the limitations and prospects of current observations are proposed. By summarizing fundamental concepts and major achievements in the field of gravitational wave detection, it is hoped to provide future students and researchers with a basic idea of the field and thus promote new ideas and advancements in the rising era of gravitational astronomy.

A global dataset of salmonid biomass in streams

Salmonid fishes are arguably one of the most studied fish taxa on Earth, but little is known about their biomass range in many parts of the world. We created a dataset of estimated salmonid biomass using published material of over 1000 rivers, covering 27 countries and 11 species. The dataset, spanning 84 years of data, is the largest known compilation of published studies on salmonid biomass in streams, allowing detailed analyses of differences in biomass by species, region, period, and sampling techniques. Production is also recorded for 194 rivers, allowing further analyses and relationships between biomass and production to be explored. There is scope to expand the list of variables in the dataset, which would be useful to the scientific community as it would enable models to be developed to predict salmonid biomass and production, among many other analyses.

The development of attitudes toward science and technology: a longitudinal analysis of Generation X

Abstract Research on public attitudes toward science and technology policy has relied on surveys taken at single points in time. These surveys fail to indicate how these attitudes develop or change. In this study, we use data from the Longitudinal Study of American Life that has followed a national sample of Generation X for 33 years—from middle school to midlife. We demonstrate that the critical period for the formation of attitudes toward science and technology is the 15–18 years after high school—college, work, family, and career. The attitudes formed in this period remain stable for most individuals during midlife. This work provides an important perspective for scientists, engineers, and the leadership of the scientific community in their efforts to foster positive attitudes toward science and technology and to understand the roots of concerns and reservations about science.

Analytical Challenges in Novel Pentavalent Meningococcal Conjugate Vaccine (A, C, Y, W, X)

Multivalent meningococcal conjugate vaccines are a significant focus for the scientific community in light of the WHO’s mission to defeat meningitidis by 2030. Well-known meningococcal vaccines such as MenAfriVac, Nimenrix, Menveo, and MenQuadfi are licensed in various parts of the world and have been successful. Recently, the World Health Organization (WHO) qualified MenFive (meningococcal A, C, Y, W, and X) conjugate vaccine, further enhancing the battery of vaccines against meningitis. The antigenic nature of the current and new serogroups, the selection of carrier proteins, and the optimal formulation of these biomolecules are pivotal parameters for determining whether a biological preparation qualifies as a vaccine candidate. Creating appropriate quality control analytical tools for a complex biological formulation is challenging. A scoping review aims to identify the main challenges and gaps in analyzing multivalent vaccines, especially in the case of novel serogroups, such as X, as the limited literature addresses these analytical challenges. In summary, the similarities in polysaccharide backbones between meningococcal serogroups (C, Y, W sharing a sialic backbone and A, X sharing a phosphorous backbone) along with various conjugation chemistries (such as CNBr activation, reductive amination, CDAP, CPIP, thioether bond formation, N-hydroxy succinimide activation, and carbodiimide-mediated coupling) resulting into a wide variety of polysaccharide -protein conjugates. The challenge in analyzing carrier proteins used in conjugation (such as diphtheria toxoid, tetanus toxoid, CRM diphtheria protein, and recombinant CRM) is assessing their purity (whether they are monomeric or polymeric in nature as well as their polydispersity). Additional analytical challenges include the impact of excipients, potential interference from serogroups, selection and establishment of standards, age-dependent behavior of biomolecules indicated by molecular size distributions, and process-driven variations. This article explains the analytical insights gained (polysaccharide content, free saccharide, free proteins, MSD) during the development of the MenFive vaccine and highlights the crucial gaps and challenges in testing.

Fractional-Order Modeling of COVID-19 Transmission Dynamics: A Study on Vaccine Immunization Failure

COVID-19 is an enveloped virus with a single-stranded RNA genome. The surface of the virus contains spike proteins, which enable the virus to attach to host cells and enter the interior of the cells. After entering the cell, the virus exploits the host cell’s mechanisms for replication and dissemination. Since the end of 2019, COVID-19 has spread rapidly around the world, leading to a large-scale epidemic. In response to the COVID-19 pandemic, the global scientific community quickly launched vaccine research and development. Vaccination is regarded as a crucial strategy for controlling viral transmission and mitigating severe cases. In this paper, we propose a novel mathematical model for COVID-19 infection incorporating vaccine-induced immunization failure. As a cornerstone of infectious disease prevention measures, vaccination stands as the most effective and efficient strategy for curtailing disease transmission. Nevertheless, even with vaccination, the occurrence of vaccine immunization failure is not uncommon. This necessitates a comprehensive understanding and consideration of vaccine effectiveness in epidemiological models and public health strategies. In this paper, the basic regeneration number is calculated by the next generation matrix method, and the local and global asymptotic stability of disease-free equilibrium point and endemic equilibrium point are proven by methods such as the Routh–Hurwitz criterion and Lyapunov functions. Additionally, we conduct fractional-order numerical simulations to verify that order 0.86 provides the best fit with COVID-19 data. This study sheds light on the roles of immunization failure and fractional-order control.

Scientific and technical business trips of scientists to Germany in the 1920s as one of the factors in the development of the Leningrad industrial complex

In the article, the author examines Leningrad scientists’ business trips to Germany in the 1920s as one of the directions of technology transfer mechanism implementation. The relevance of the study lies in the fact that the example of Leningrad shows the substance of this line of transfer, as well as a general assessment of its effectiveness. Thus, the historical memory of a unique experience is restored, which may be of interest at the present stage of Russia’s development. The study focuses on the problems of scientific and technical international cooperation with local scientific communities. This fills a gap in historical scholarship, as the specifics of such cooperation are considered mainly either at a community level or at the level of an individual organisation or individual. The main goal of the study is to determine the extent to which the contacts between Leningrad scientists and German specialists, established in the 1920s, influenced the modernisation of the Leningrad industrial complex. Research objectives are: to analyse the main cooperation directions between Leningrad scientists and German institutes, scientific centres, and laboratories in the period under consideration; to classify business trips, to identify general patterns, and to analyse the specific features of different types of business trips and their results. The article draws on a broad source base that includes previously unpublished archive documentation of the Russian State Academy of Economics, Central State Archive of St. Petersburg, and the Central State Academy of Technical Sciences of St. Petersburg. In the course of the study, drawing on specific cases, it was demonstrated that the active involvement of scientific personnel in Petrograd/Leningrad contributed to the accelerated development of a number of Soviet industries, such as diesel engineering, turbo and hydraulic turbine engineering, chemical processing of peat and shale, etc., made it possible to form the necessary technical base, as well as develop the human resources of scientific institutions and enterprises of the city.

Machine Learning Aided Modeling of Granular Materials: A Review

AbstractArtificial intelligence (AI) has become a buzzy word since Google’s AlphaGo beat a world champion in 2017. In the past five years, machine learning as a subset of the broader category of AI has obtained considerable attention in the research community of granular materials. This work offers a detailed review of the recent advances in machine learning-aided studies of granular materials from the particle-particle interaction at the grain level to the macroscopic simulations of granular flow. This work will start with the application of machine learning in the microscopic particle-particle interaction and associated contact models. Then, different neural networks for learning the constitutive behaviour of granular materials will be reviewed and compared. Finally, the macroscopic simulations of practical engineering or boundary value problems based on the combination of neural networks and numerical methods are discussed. We hope readers will have a clear idea of the development of machine learning-aided modelling of granular materials via this comprehensive review work.

The effect of an educational program based on the strategy of generating ideas (Scamper) in the teaching of history on developing critical thinking skills among gifted students in the center of Erbil Governorate.

The research aims to identify the impact of an educational program based on the strategy of generating ideas (Scamper) in developing critical thinking skills among gifted students. The experimental approach and the two equal groups with pretest and posttest design have been adopted which requires the two groups, one experimental group and the other control group, and two zero hypotheses were formulated to achieve the research objectives. The research community consisted of students of the seventh grade of day schools in the center of Erbil Governorate for the academic year (2021-2022), where (Shinirwe Mixed Basic Education School for the Gifted Students) was chosen, and two classes were chosen randomly from four classes in the seventh grade to be: (a) The Experimental Group and (b) The Control Group, where it included (40) students, of whom (20) twenty students were distributed to the experimental group and (20) other twenty students were distributed to the control group. The experimental group studied according to the educational program based on the strategy of generating ideas (Scamper), while the control group studied according to the traditional (usual) method. To achieve the objectives of the research, the critical thinking standard of (Watson and Kleiser) was used where the number of its paragraphs in its final form has reached to (147) paragraphs distributed on critical thinking skills (hypothesis skill, interpretation skill, discussion skill, reasoning skill, conclusion skill). This is after verifying the validity and reliability using the Cronbach's alpha coefficient, where the reliability coefficient was (0.87) and the reliability coefficient by the two-half method, and after its modification, the value of the stability coefficient was (0.85). Among the most important results reached are the following: There is a statistically significant difference at the level of significance (a = 0.05) between the average grades of the experimental group and the control group in developing critical thinking skills, in favor of the experimental group. In light of the results reached, the two researchers recommended the necessity of adopting an educational program based on the (Scamper) strategy in teaching history, and a number of proposals were proposed.

Exon Nomenclature and Classification of Transcripts database (ENACTdb): A resource for analyzing alternative splicing mediated proteome diversity

Abstract Motivation Gene transcripts are distinguished by the composition of their exons and this different exon composition may contribute to advancing proteome complexity. Despite the availability of alternative splicing information documented in various databases, a ready association of exonic variations to the protein sequence remains a mammoth task. Results To associate exonic variation(s) with the protein systematically, we designed the ENACT framework for uniquely annotating exons that tracks their loci in gene architecture context with encapsulating variations in splice site(s) and amino acid coding status. As part of the ENACT annotation, predicted protein features (secondary structure/disorder/Pfam domains) are mapped to exon attributes. Thus, ENACT provides trackable exonic variation(s) association to isoform(s) and protein features enabling the assessment of functional variation due to changes in exon composition. Such analyses can be readily performed through multiple views supported by the server. The exon-centric visualizations of ENACT annotated isoforms could provide insights on functional repertoire of genes due to alternative splicing and its related processes and can serve as important resource for the research community. Availability and implementation The database is publicly available at https://www.iscbglab.in/enactdb/. It contains protein coding genes and isoforms for Caenorhabditis elegans, Drosophila melanogaster, Danio rerio, Mus musculus, and Homo sapiens.

The role conflict among Female teachers and employees of Raparin University

The aim of this study was to determine the level of role conflict among female teachers and employees of Raperin University in general and according to the variables (marital status, educational level, and years of service). The research community consists of all female teachers and employees in Raperin University, and the sample consists of (114) teachers and employees. The research tool consists of a role conflict scale consisting of 36 items prepared by the researchers. The statistical methods used were: one-sample t test and (ANOVA). The results showed that role conflict was low in the sample. According to the variables, the marital status variable did not show significant differences between the single and married groups, but there were significant differences according to education and years of service.

The Type 1 Diabetes T Cell Receptor and B Cell Receptor Repository in the AIRR Data Commons: a practical guide for access, use and contributions through the Type 1 Diabetes AIRR Consortium.

Human molecular genetics has brought incredible insights into the variants that confer risk for the development of tissue-specific autoimmune diseases, including type 1 diabetes. The hallmark cell-mediated immune destruction that is characteristic of type 1 diabetes is closely linked with risk conferred by the HLA class II gene locus, in combination with a broad array of additional candidate genes influencing islet-resident beta cells within the pancreas, as well as function, phenotype and trafficking of immune cells to tissues. In addition to the well-studied germline SNP variants, there are critical contributions conferred by T cell receptor (TCR) and B cell receptor (BCR) genes that undergo somatic recombination to yield the Adaptive Immune Receptor Repertoire (AIRR) responsible for autoimmunity in type 1 diabetes. We therefore created the T1D TCR/BCR Repository (The Type 1 Diabetes T Cell Receptor and B Cell Receptor Repository) to study these highly variable and dynamic gene rearrangements. In addition to processed TCR and BCR sequences, the T1D TCR/BCR Repository includes detailed metadata (e.g. participant demographics, disease-associated parameters and tissue type). We introduce the Type 1 Diabetes AIRR Consortium goals and outline methods to use and deposit data to this comprehensive repository. Our ultimate goal is to facilitate research community access to rich, carefully annotated immune AIRR datasets to enable new scientific inquiry and insight into the natural history and pathogenesis of type 1 diabetes.

The Research Advance in Ethical Issues of AI Application

The topic of AI has become more and more discussed ever since the release of ChatGPT, as its astonishing intelligence has made humans to challenge the boundary. This vagueness then contributes to the emergence of discussions on the ethics of AI. Aiming to clarify the many current academic discussions on the ethics of artificial intelligence and to recognize different ethical perspectives, this study conducts a literature review of the research and discussions among different scholars on ethical issues in the application of artificial intelligence technologies. It is found that the current relevant discussion extends from a micro perspective emphasizing the individual to a macro perspective emphasizing the human race. Research advances on ethical issues in AI applications can be categorized into three levels: personal, social, and global. Among which, the individual level focuses on the ethical issues in algorithmic logic and user data management. The social level focuses on the social employment and public accountability systems. While the global level discusses intellectual property disputes and the social identity of AI robots. Finally, the author gave an evaluation of the gaps and challenges of studying AI ethics and emphasize the importance of addressing ethical issues in AI development and deployment. The paper aims to serve as information for scholars and policymakers, fostering ethical awareness in the AI research community and helping AI technologies to be developed and used responsibly.

Open Science in Agricultural Economics

Abstract We provide a ‘big picture’ of what Open Science is and what benefits, limitations, and risks it entails for agricultural economists. We show that Open Science comprises various aspects, such as, the accessibility of science, transparency of scientific processes, open and FAIR research data and code, and openness in teaching and education. We identify potential benefits of Open Science for individual researchers and the public, as well as adoption barriers. We highlight that public benefits of a wide-spread uptake of Open Science practices still remain unexplored. We share best practice examples for key aspects of agricultural economic research, i.e., primary data collection and analysis, optimization and simulation models, use of replication packages and an Open Science Community. Assessing the author guidelines of twelve Agricultural Economics journals for their Open Science practices, we find that data citation and transparency are considered important in many journals already, whereas replication, pre-registration or results-blind review are encouraged but rarely enforced. It also becomes evident that the journals differ in terms of how strictly they enforce their open-science guidelines. We close by providing recommendations for researchers, journal editors, policy makers, universities, research institutes and funding agencies to better align public benefits with private incentives.

Expanding seawater carbon dioxide and methane measuring capabilities with a Seaglider

Abstract. Warming, ocean acidification, and deoxygenation are increasingly putting pressure on marine ecosystems. At the same time, thawing permafrost and decomposing hydrates in Arctic shelf seas may release large amounts of methane (CH4) into the water column, which could accelerate local ocean acidification and contribute to climate change. The key parameters to observing and understanding these complex processes and feedback mechanisms are vastly undersampled throughout the oceans. We developed carbon dioxide (CO2) and CH4 gliders, including standard operational procedures, with the goal that CO2 and CH4 measurements will become more common for glider operations. The Seagliders with integrated Contros HydroC CO2 or CH4 sensors also include conductivity, temperature, depth, oxygen, chlorophyll a, backscatter, and fluorescent dissolved organic matter sensors. Communication via satellite allows for near-real-time data transmission, sensor adjustments, and adaptive sampling. Several sea trials with the CO2 Seaglider in the Gulf of Alaska and data evaluation with discrete water and underway samples suggest nearly “weather-quality” CO2 data as defined by the Global Ocean Acidification Network. A winter mission in Resurrection Bay, Alaska, provided the first insights into the water column inorganic carbon dynamics during this otherwise undersampled season. The CH4 Seaglider passed its flight trials in Resurrection Bay but needs to be tested during a field mission in an area with CH4 concentrations beyond background noise. Both sensing systems are available to the science community through the industry partners (Advanced Offshore Operations and -4H-JENA engineering GmbH) of this project.

Low health literacy is associated with health-related institutional mistrust beyond education

Abstract Background Institutional mistrust, the lack of confidence and overall suspicion towards authorities or systems, usually governmental, but also extending to the health sector, poses a major obstacle towards public health policies and actions. Lower educational attainment has been linked to higher mistrust, but the role of health literacy in particular remains unclear. Methods Cross-sectional study in the general adult population of Greece and Cyprus following proportional quota sampling (January 2022 to May 2023). The current analysis is based on a sub-sample of 292 participants, with complete information on health literacy (main exposure, assessed via the validated HLS-EU-Q16) and health-related institutional mistrust (main outcome, assessed via a new culturally adopted questionnaire comprising 11 items). Multiple linear regression was used to determine associations between the aforementioned factors, adjusting for educational attainment and other potential confounders. Results Exploratory factor analysis revealed 3 health-related institutional mistrust dimensions, towards: (a) governmental authorities and the media (i.e., the system), (b) doctors and other health professionals, and (c) the scientific community. Health literacy was negatively associated with all mistrust dimensions, with associations being particularly strong with mistrust towards the system (B, 95% CI per unit increase in the HL scale: -0.87, -1.58; -0.15) and the scientific community (-0.71, -1.11; -0.32). These association remained robust to adjustment for educational attainment and other sociodemographic factors. Conclusions Mistrust towards a perceived system, comprising the government and media, as well as towards the scientific community on health-related matters, is higher among individuals with low health literacy, irrespective of educational attainment. Enhancing health literacy could act as a novel target for public health approaches aiming to tackle health-related institutional mistrust. Key messages • Health-related institutional mistrust is a complex phenomenon, which appears to have different dimensions, relevant to the perceived system, health professionals, and the scientific community. • Low health literacy is an independent predictor of health-related institutional mistrust, rendering it a novel target for attempts towards reversing this phenomenon and its adverse health consequences.

In at the Deep End: Innovative approaches to engaging underserved communities in Northern England

Abstract Background People living in socio-economically deprived communities have greater health needs, but worse access and outcomes from care. A growing international movement of Deep End (DE) general practice networks established to promote health equity, address challenges posed by the inverse care law and advocate for increased research involvement. Researchers, community members and practitioners in the North of England are exploring ways of engaging with underserved communities and addressing low levels of inclusion in research. Methods DE research i) co-designing the North East and North Cumbria (NENC) DE network with practitioners to prioritise service investment, research activities and initiatives for local communities; ii) Deep End Research Alliance Yorkshire and Humber (DERA-YH) and Participatory Action Research to increase research capacity and reflect upon the evolution of a novel primary care Community Research Link Worker role (CRLWs). Results Prioritisation activities in the NENC DE network, uncovered the volume and complexity of clinical and social need, leading to the co-design and evaluation of initiatives to improve mental health care, increase childhood immunisations, tailor deprescribing, support training, and increase patient inclusion in research. In the DERA-YH, the CRLW model increased participation in research from ethnic minority communities regarding prostate cancer, lung health, dementia, and contraceptive services. Community leaders stated that sharing resources and power in the research process builds trust and interest in research in their communities. Conclusions DE networks in Northern England have driven innovative approaches to engage underserved communities in research, fostering empowering and enduring relationships to address health and care inequalities. Co-design methodologies and CRLWs integration into research teams had a transformative impact on the accessibility of research for communities and for the researchers’ positionality. Key messages • Deep End networks are advancing approaches to meaningful engagement and partnership working with underserved communities, to address health, care and research participation inequalities. • We recommend co-design by default and CRLW models to build capacity and embed reflective practice, mutual respect, and power sharing across the research team.

Commercialization of scientific misconduct: the challenge of paper mills

Abstract According to an estimate, there are at least 400,000 papers in the scientific literature originating from paper mills, which are for-profit companies that guarantee the publication of low-quality papers. There is evidence that such papers are accompanied by various forms of scientific misconduct, including plagiarism, image duplication, falsification, and fabrication of data. These papers are cited and included in systematic reviews and meta-analyses, which have negative consequences for science and related disciplines. The scientific community has fragmented knowledge on paper mills, and many paper mills go undetected. Current resources of stakeholders are not sufficient to detect and prevent journals from publishing fraudulent papers. The goal of this presentation is to raise awareness of the paper mills problem and to discuss general ‘red flags’ of such papers, as well as possible measures to prevent editors and journals from publishing them. These measures may include open peer review, editor training, research on paper mills, improvement of detection methods, and united actions by stakeholders.

Integrity and accountability in academic publishing: trends and implications of paper retractions and journal delistings

Abstract In the context of academic publishing, ‘retraction’ refers to the withdrawal of a published article from the scientific record due to issues such as significant errors, plagiarism, fraudulent data, or unethical research practices. Retractions play a critical role in maintaining the integrity of scientific literature. Retraction Watch, a blog that tracks retractions of scientific papers, lists more than 48,000 retractions in its database, with increasing trend over time (from 450 reported retractions in 2008 to a staggering 7327 retractions in 2023). The extent to which this indicates a heightened vigilance in identifying problematic research or an increased tendency in committing research misconduct or errors is unclear. Retractions can have lasting consequences beyond the retracted paper itself for authors, editors, publishers and the scientific community at large. However, not all retractions are the same, and self-reporting errors might come with minimal effects, suggesting a recognition of accountability and corrective actions. Delisting of a journal from a scientific database such as Scopus and Web of Science refers to the removal of the journal from the database’s index. This can happen for various reasons, including quality concerns and ethical issues. Although this phenomenon is not necessarily correlated with the quality, integrity, or reliability of individual papers published in the delisted journal, it might still have significant impacts on the work and careers of researchers. For instance, articles in delisted journals might suffer from decreased visibility or authors might not be able to use it for promotions. The curated list of sources from Scopus is publicly available and lists around 800 discountinued sources due to quality concerns, while Web of Science made the news in 2023 for the delisting of several journals for editorial reasons, including the MDPI’s giant, International Journal of Environmental Research and Public Health.

Comparative Analysis of 2022 Outbreak MPXV and Previous Clade II MPXV.

The 2022-2024 outbreak of MPOX is an important worldwide public health issue that has triggered significant concerns in the scientific community. MPOX is caused by monkeypox virus (MPXV) belonging to the Poxviridae family. The study of MPXV presents a multifaceted challenge due to the diverse viral formThis study was supported by ISIDORe consortium and Agencia Estatal de Investigación.s produced by this pathogen. Notably the intracellular mature viruses (MVs) primarily contribute to localized lesions and host-to-host transmission, while the extracellular enveloped viruses (EVs) are associated with systemic infection. Clinically, MPOX manifests as a vesiculopustular rash that initially emerges on the face and trunk, subsequently spreading throughout the body, with heightened severity observed in immunocompromised individuals. Results obtained in this manuscript indicate that the 2022 outbreak MPXV has a significantly slower viral cycle compared with previous Clade II strains, with WRAIR 7-61 being more intermediate and USA 2003 producing highest viral titers. Additionally, proteomic and phospho-proteomic analysis displays differences in protein expression between these three strains. These findings highlight key differences between the current Lineage B.1 MPXV and previous strains. Further studies will be undertaken to demonstrate if these differences are important for the apparent increased human-to-human transmission mechanisms observed in the Clade IIb MPXV outbreak.