Knowledge Of Structure Research Articles

Associations between brain structure and dual decline in gait and cognition

Dual decline in gait and cognition is associated with an increased risk of dementia, with combined gait and memory decline exhibiting the strongest association. To better understand the underlying pathology, we investigated the associations of baseline brain structure with dual decliners using three serial gait speed and cognitive assessments in memory, processing speed-attention, and verbal fluency. Participants (n=267) were categorized based on annual decline in gait speed and cognitive measures. Lower gray and white matter volume and higher white matter hyperintensity volume increased the risk of being a dual decliner in gait and both the memory and processing speed-attention groups (all p < 0.05). Lower hippocampal volume (p = 0.047) was only associated with dual decline in gait and memory group. No brain structures were correlated with dual decline in gait and verbal fluency. These results suggest that neurodegenerative pathology and white matter hyperintensities are involved in dual decline in gait and both memory and processing speed-attention. Smaller hippocampal volume may only contribute to dual decline in gait and memory.

Nanomechanical resilience and thermal stability of RSJ2 phage

As the world moves toward a green economy and sustainable agriculture, bacterial viruses or bacteriophages (phages) become attractive biocontrol agents for controlling crop diseases. Effective utilization of phages in farms requires integrated knowledge of crops, pathogens, phages, and surroundings. Phages must encounter environmental fluctuations, including temperature, and must remain infectious for successful bacteria lysis. This work studied a soilborne RSJ2 phage discovered in Thailand, which can eliminate Ralstonia solanacearum, causing bacterial wilt disease in chili. We investigated how phage infectivity and nanomechanics responded to thermal changes. The plaque-based assay showed that the infectivity of the RSJ2 phage was stable within 24–40 °C, an average temperature fluctuation in tropical regions. The structural examination also showed that the phage remained intact. The nanomechanical property of the phage was inspected by the atomic force microscopy-based nanoindentation. The result revealed that the phage stiffness within 24–40 °C was statistically similar (0.05–0.06 N/m). Upon heating at 40 °C for 1, 5, and 10 h and resting at 25 °C, the stiffness of the phage particles increased to 0.09–0.11 N/m (54–83% increase). The stiffness results suggest structural adaptation of the protein subunits as a response to thermal alteration. The study exhibits that the phage structure is highly dynamic and can nanomechanically respond to varying temperatures. The phage stiffness may reveal insight into phage adaptation to environmental factors. Equipped with the knowledge of phage infectivity, structure, and nanomechanics, we can design practical guidelines for effective phage usage in farming and propelling green and safe agriculture.

Periphery Biomarkers Predicting Conversion of Type 2 Diabetes to Pre-Alzheimer-Like Cognitive Decline: A Multicenter Follow-Up Study.

The prevalence of Alzheimer's disease (AD) is increasing, therefore, identifying biomarkers to predict those vulnerable to AD is imperative. Type 2 diabetes (T2D) serves as an independent risk factor for AD. Early prediction of T2D patients who may be more susceptible to AD, so as to achieve early intervention, is of great significance to reduce the prevalence of AD. To establish periphery biomarkers that could predict conversion of T2D into pre-AD-like cognitive decline. A follow-up study was carried out from 159 T2D patients at baseline. The correlations of cognitive states (by MMSE score) with multi-periphery biomarkers, including APOE genotype, plasma amyloid-β level, platelet GSK-3β activity, and olfactory score were analyzed by logistic regression. ROC curve was used for establishing the prediction model. Additionally, MRI acquired from 38 T2D patients for analyzing the correlation among cognitive function, biomarkers and brain structure. Compared with the patients who maintained normal cognitive functions during the follow-up period, the patients who developed MCI showed worse olfactory function, higher platelet GSK-3β activity, and higher plasma Aβ42/Aβ40 ratio. We conducted a predictive model which T2D patients had more chance of suffering from pre-AD-like cognitive decline. The MRI data revealed MMSE scores were positively correlated with brain structures. However, platelet GSK-3β activity was negatively correlated with brain structures. Elevated platelet GSK-3β activity and plasma Aβ42/Aβ40 ratio with reduced olfactory function are correlated with pre-AD-like cognitive decline in T2D patients, which used for predicting which T2D patients will convert into pre-AD-like cognitive decline in very early stage.

Knowledge structures for knowledge communication: Dominant semantic frames in research articles

Taking Frame Semantics as its theoretical framework, this corpus-based study addresses a lack of research on semantic knowledge in research articles at the genre level, as opposed to the discipline level, by identifying the dominant Semantic Frames in the academic portion of the Corpus of Contemporary American English. Semantic Frames in the corpus were first automatically identified with a pre-trained large language model fine-tuned with data from FrameNet, a large database built on the principles of Frame Semantics. Subsequently, 84 dominant Semantic Frames in research articles were extracted based on the frequency distributions of identified semantic frames, constituting a Research Article-specific Semantic Frame List. Based on their definitions and detailed analyses of typical example sentences, these 84 Research Article-specific Semantic Frames were classified into three groups: Academic Activity Frames, which describe typical activities for creating knowledge, Academic Communication Frames, which relate to typical ways for disseminating knowledge, and Academic Interest Frames, which include typical entities or attributes that interest researchers across disciplines. The Research Article-specific Semantic Frame List sheds light on the semantic knowledge that is characteristic of the research article genre and shared across disciplines, thereby paving the way for compiling a research article-specific framenet. Further research is encouraged to explore the Frame Element distribution patterns of Research Article-specific Semantic Frames and Semantic Frames specific to other academic genres.

The lymphatic drainage of the goat heart.

The detailed knowledge of the morphological structure, drainage pathways and patterns, the first tier lymph node of the cardiac lymphatic and its relationship with the circulatory system has not yet been completed. Although, the cardiac lymphatics had been described with renewed interest in past years, which was attributed to the transparent nature of lymphatic vessels that are difficult to be observed. In this study, cardiac lymphatics of the goat heart were perfused by a direct microinjecting technique with a radiopaque mixture. This demonstrated the subepicardial and subendocardial lymph capillary networks communicating with transmyocardial lymph vessels and then entering to subepicardial collecting lymph vessels that were directed toward the atrio-ventricular sulcus where they form a confluence from which the main cardiac lymph channels. We also found that: 1) the quantity and caliber of collecting lymph vessels varied in each goat heart; 2) drainage patterns of lymph vessels in the goat heart were different in individuals; 3) the first tier lymph node that each major lymph vessel drained to was different; and 4) multiple lymphatic-venous anastomosis sites have been confirmed to exist in the subepicardium of the left and right ventricles of each goat heart, which may be the morphological structure to accelerate the return of intercellular fluid to the venous system during excessive exercise of the heart. Therefore, the information may provide reference for further study in physiological and pathological conditions of the human heart.

Elaborating the knowledge structure and emerging research trends of physical activity for multiple sclerosis: A bibliometric analysis from 1994 to 2023

BackgroundMultiple sclerosis is a common inflammatory neurological disease among young adults and is the tenth leading cause of the global burden of disease. Existing common treatments such as pharmacological and palliative therapies do not control the neurodegenerative process or cure multiple sclerosis. Numerous epidemiological surveys, randomised controlled trials, and systematic reviews with meta-analyses support the effects of physical activity on health-related outcomes among patients with multiple sclerosis. Moreover, bibliometric analysis can provide a broad evidence synthesis beyond systematic reviews and meta-analyses, allowing researchers and other stakeholders to obtain a one-stop overview of this research field. Therefore, this bibliometric analysis aims to provide insight into the knowledge structure of the field of physical activity for multiple sclerosis over the past three decades, and to predict emerging research trends. MethodsThis study strictly complied with step-by-step guidelines of bibliometric analysis, combining performance analysis and science mapping. Four indexes from the Web of Science Core Collection were selected as data sources, and articles and review articles in the field of physical activity for multiple sclerosis from 1994 to 2023 were included in this analysis. Mircrosoft Excel, RStudio, VOSviewer 1.6.20, and CiteSpace 6.3.R1 (64-bit) Advanced were used to perform performance analysis and science mapping. ResultsOver the past three decades, this field published a total of 1,271 documents, with the scientific output showing a rapid upward trend over the past two decades. Robbert W Motl was the most prolific author in this field, with a total of 300 publications. The USA contributed nearly half of the publications in this field (549 documents), and the University of Illinois System was the institution with the highest number of publications (222 documents). Multiple Sclerosis and Related Disorders was the journal that published the highest number of documents in this field (117 documents), while more than a third of this field's publications were included in the category: Clinical Neurology (438 documents). The Reference co-citation analysis identified three main research trends, including shifts in research methodology, changes in health outcomes in randomised controlled trials, and shifts in different types of physical activity interventions. Combining the results from reference co-citation analysis and citation burst analysis, the combination of behaviour change technique and telerehabilitation may be the emerging research trend. ConclusionThis bibliometric analysis identifies rapid growth in the field of physical activity for multiple sclerosis over the past two decades. Moreover, the combination of performance analysis and science mapping provides insight into knowledge structure in this field and informed future research trends for researchers and the relevant stakeholders.

A comparative genre analysis of AI-generated and scholar-written abstracts for English review articles in international journals

There has been growing interest in the performance and efficiency of ChatGPT in generating academic texts. However, little empirical research has been conducted on its performance in producing review article abstracts. This study adopts the genre analysis approach to investigate the rhetorical moves of review article abstracts in hard and soft science disciplines based on two self-compiled corpora, respectively including 160 scholar-written abstracts from four high-impact international journals, and 160 abstracts generated by ChatGPT, with an aim to reveal the similarities and differences between human-written and AI-generated English review article abstracts. The results show significant differences between human-written and ChatGPT-generated abstracts, first in the frequency of three out of the five moves, and then in the sequential order of moves, with each type of abstracts demonstrating a preference for move sequence patterns as well as obligatory and optional elements. The two types of abstracts differ significantly in the frequency of move embedding, but share the same embedding combination patterns. These findings may deepen our understanding of ChatGPT's capabilities and limitations in generating academic texts across different disciplines, help improve the generative AI system, then highlight the complex relationship among the structure of academic abstracts, discipline cultures and genre knowledge.

Perspectives on Starch Structure, Function, and Synthesis in Relation to the Backbone Model of Amylopectin.

Understanding functionality of polysaccharides such as starch requires molecular representations that account for their functional characteristics, such as those related to gelatinization, gelation, and crystallization. Starch macromolecules are inherently very complex, and precise structures can only be deduced from large data sets to generate relational models. For amylopectin, the major, well-organized, branched part of starch, two main molecular representations describe its structure: the classical cluster model and the more recent backbone model. Continuously emerging data call for inspection of these models, necessary revisions, and adoption of the preferred representation. The accumulated molecular and functional data support the backbone model and it well accommodates our present knowledge related to the biosynthesis of starch. This Perspective focuses on our current knowledge of starch structure and functionality directly in relation to the backbone model of amylopectin.

Improved cognition and preserved hippocampal fractional anisotropy in subjects undergoing carotid endarterectomy “CEA preserves cognition & hippocampal structure”

ObjectivesA growing body of data indicates that extracranial carotid artery disease (ECAD) can contribute to cognitive impairment. However, there have been mixed reports regarding the benefit of carotid endarterectomy (CEA) as it relates to preserving cognitive function. In this work, diffusion magnetic resonance imaging (dMRI) and neurocognitive testing are used to provide insight into structural and functional brain changes that occur in subjects with significant carotid artery stenosis, as well as changes that occur in response to CEA. Materials and MethodsThe study design was a prospective, non-randomized, controlled study that enrolled patients with asymptomatic carotid stenosis. Thirteen subjects had severe ECAD (≥70% stenosis in at least one carotid artery) and were scheduled to undergo surgery. Thirteen had asymptomatic ECAD with <70% stenosis, therefore not requiring surgery. All subjects underwent neurocognitive testing using the Montreal Cognitive Assessment test (MoCA) and high angular resolution, multi-shell diffusion magnetic resonance imaging (dMRI) of the brain at baseline and at four-six months follow-up. Changes in MoCA scores as well as in Fractional anisotropy (FA) along the hippocampus were compared at baseline and follow-up. ResultsAt baseline, FA was significantly lower along the ipsilateral hippocampus in subjects with severe ECAD compared to subjects without severe ECAD. MoCA scores were lower in these individuals, but this did not reach statistical significance. At follow-up, MoCA scores increased significantly in subjects who underwent CEA and remained statistically equal in control subjects that did not have CEA. FA remained unchanged in the CEA group and decreased in the control group. ConclusionsThis study suggests that CEA improves cognition and preserves hippocampal white matter structure compared to control subjects not undergoing CEA.

Bettie's travels: How pigs enable new connections between human health innovations and industrial agricultural pork production in Denmark.

Drawing on ethnographic fieldwork, this paper unfolds the past and present uses of pigs that structured the emergence of a pig model of gut-hormone based appetite control, leading to the current scientific breakthrough in treatment of obesity. While the hyping of next generation medications for obesity and type 2 diabetes centers on the efficacy and profits attached to these drugs, I unfold how science embedded in this development had the in-vivo and in-vitro travels of Bettie-an obese Göttingen Minipig pig-at its heart. Tracing how she became embedded in a circuit of vitality connecting industrial agriculture and science on human health, I show how both are governed by a shared valuation of pigs' fat. Bettie's fat, however, was not to be eaten. Instead, Bettie was consumed in knowledge production. For pigs to enter this new trajectory, Bettie emerged as a promissory site for extraction of molecular information made possible by new visualization technologies and representational strategies that allowed for the coupling of human-pig physiology at the cellular level. While her travels were spurred by the hope of discovery of small molecules, Bettie allows us to grasp an important shift in science, as the insights derived from her work emphasized the importance of physiology and the environment for human obesity. In doing so, she served as a visceral model. On a larger scale, Bettie's entering science on human health reflects a recursive structure of knowledge in which the present problems with obesity and type 2 diabetes derive from the solutions to previous problems associated with alleviating hunger.

Research on privacy protection in the context of healthcare data based on knowledge map.

With the rapid development of emerging information technologies such as artificial intelligence, cloud computing, and the Internet of Things, the world has entered the era of big data. In the face of growing medical big data, research on the privacy protection of personal information has attracted more and more attention, but few studies have analyzed and forecasted the research hotspots and future development trends on the privacy protection. Presently, to systematically and comprehensively summarize the relevant privacy protection literature in the context of big healthcare data, a bibliometric analysis was conducted to clarify the spatial and temporal distribution and research hotspots of privacy protection using the information visualization software CiteSpace. The literature papers related to privacy protection in the Web of Science were collected from 2012 to 2023. Through analysis of the time, author and countries distribution of relevant publications, we found that after 2013, research on the privacy protection has received increasing attention and the core institution of privacy protection research is the university, but the countries show weak cooperation. Additionally, keywords like privacy, big data, internet, challenge, care, and information have high centralities and frequency, indicating the research hotspots and research trends in the field of the privacy protection. All the findings will provide a comprehensive privacy protection research knowledge structure for scholars in the field of privacy protection research under the background of health big data, which can help them quickly grasp the research hotspots and choose future research projects.

Structural knowledge and subjective knowledge, not factual knowledge, promotes corrective and restrictive actions towards healthy eating misinformation in China: a multigroup comparison of extended cognitive mediation model based on altruism

Structural knowledge and subjective knowledge, not factual knowledge, promotes corrective and restrictive actions towards healthy eating misinformation in China: a multigroup comparison of extended cognitive mediation model based on altruism

Match characteristics of women’s and men’s singles and doubles events in elite badminton

ABSTRACT Currently, a comprehensive match data collection for badminton does not yet exist. Competition analyses in badminton commonly focus on the singles events, while there is a lack of knowledge of the event characteristics of men’s and women’s doubles as well as mixed doubles. To date, no study has investigated all five events at the highest international tournament level. However, knowledge of the time structure in a given discipline is essential for elite badminton coaches to set specific training drills. Therefore, we analysed the time structure of matches played across all events at the 2018 Badminton World Federation Championships. Our results showed that game duration was longer in women’s doubles than in mixed doubles. Women’s doubles consisted of the longest rally times and highest percentage of real-time played. The rest time, rest time between games and total points played did not differ between the disciplines. Men’s doubles and mixed doubles were characterised by the shortest rally times and highest shot frequencies. Our findings confirmed the assumed differences in the time structures between these five events. Coaches should apply a differentiated approach to training elite badminton players and implement specific training drills, such as “multi-shuttle drills” with event-specific frequencies.

(Re)search results: search engines and the logic of efficiency in scholarship

ABSTRACT This article uses the search engine as a heuristic for reflecting upon the extent to which knowledge production within the academy both shapes and is shaped by the media that it studies and with which its research is enabled. More specifically, it argues that the efficiency that has helped make search both a paradigmatic feature of digital culture and a habitual, everyday activity is achieved not just through speediness of results, but through a rationalized, regimented, and standardized structuration of knowledge, ensuring the latter is amenable to computational processing and retrieval. Search engines exercise a crypto-normative function, establishing formal norms and constraints relating to knowledge production, including academic research outputs, at the same time that they furnish one of the principal means by which this research is conducted. The purpose of this article is not to decry bureaucratic modes of conduct, which are central to the responsibilities of academic life, but to stress the importance of scholars reflecting upon their own relationship to the technologies of which they make use and the temporalities these technologies engender.

Modeling quick autonomous response for virtual characters in safety education games

Serious games have a wide range of applications. Modeling virtual character behaviors and emotions is a challenging task in developing serious games. To generate real-time responses, behavioral and emotional models must be simple and effective. Existing studies have paid little attention to the semantic understanding of virtual characters to external stimuli and have not effectively linked perceived semantics and motivation. This paper proposes a cognitive structure for the virtual character. The structure contains multiple modules: perception, personality, motivation, behavior, and emotion. Based on psychological theory, a semantic table that connects external stimuli, motivations, behaviors, and emotions is designed for each virtual character. Perceptivity is introduced to measure the degree of perception. According to Maslow’s motivation theory, a quantitative description of motivation is given and a discriminating method is proposed to generate behaviors and emotions. A prototype of a serious game is developed to verify the validity of the proposed method. The experimental results show that the proposed method can simulate the behavior and emotion of virtual characters in real time and will enhance the immersion of serious games.

Understanding Newton's Third Law: A Study of Prospective Physics Teachers' Knowledge Structure

This research aims to explore the ability to understand concepts and the characteristics of the knowledge structure of prospective physics teachers regarding Newton's Third Law. This research was conducted on 26 Physics Education students in their first year who had received material on Newton's Laws. The instrument used is the Force Concept Inventory (FCI) test instrument. Using four multiple-choice questions accompanied by reasons, the quantitative data source comes from students' choice of answers. In contrast, the qualitative data source comes from students' reasons for choosing answers, which are used to see the characteristics of knowledge structures. The data analysis technique used is descriptive statistics to present a picture of the ability to understand concepts and the level of character of the knowledge structure of prospective teachers. The results show that the concept understanding ability of prospective physics teachers has an average of 67.31 and is classified as sufficient. The knowledge structure characteristics of prospective physics teachers at the expert level is 62.50%, the beginner level is 14.42%, and the intermediate level is 24.04%. These results show that the ability to understand the concept of Newton's Third Law and the characteristics of knowledge structures have a coherent influence. Prospective teachers with the characteristics of an expert knowledge structure can solve physics problems using correct physics principles. These findings require further research to explore the factors influencing understanding concepts and characteristics of prospective teachers' knowledge structures and more effective teaching strategies.

Polytomous Knowledge Structures Based on Entail Relations

In knowledge structure theory (KST), an individual’s knowledge state represents the items that the individual can completely solve. Based on the differences in individuals’ latent cognitive competence, polytomous knowledge states can be used to partially represent individuals to solve items. This paper explores the construction of polytomous knowledge states and polytomous knowledge structures on a polytomous knowledge domain Q×L. A quasi-ordinal polytomous knowledge space and a polytomous knowledge space can be induced by two different entail relations, respectively. When the polytomous knowledge structure (Q,L,K) on Q×L is determined, accurately evaluating an individual’s polytomous knowledge state is the key to providing learning guidance and taking teaching remedial measures for the individual. Therefore, we study the basic assessment procedure for a given polytomous knowledge structure, and a concrete example is designed to illustrate the method presented in this paper.

The essence and value of knowledge

This paper aims to deeply explore the essence and value of knowledge, from the perspective of philosophy to its comprehensive and meticulous research and thinking. In the part of discussing the essence of knowledge, we first from the origin and development of knowledge, explore the formation process of knowledge. Knowledge does not exist in isolation but gradually accumulates and evolves through the interaction between human beings and the environment. We further analyze the structure and characteristics of knowledge and reveal the internal logic and laws of the knowledge system. In the discussion of the value of knowledge, we deeply study the Gaettier problem and further clarify the subtle relationship between knowledge, belief, and truth. In this paper, a large number of relevant literatures are reviewed and discussed. By combining and summarizing the previous research results, we can stand on the shoulders of giants and dig deeper into the connotation and value of knowledge.

Neurocognitive Latent Factors Associate With Early Tobacco and Alcohol Use Among Adolescent Brain Cognitive Development Study Youth

PurposeProspective associations between preadolescent neurocognitive structure and onset of substance use in adolescence have not been examined. This study investigated associations between cognitive structure among youth aged 9 – 10 years and the likelihood of experimentation with tobacco and alcohol by ages 13–14 years. MethodsA principal component (PC) analysis of nine neurocognitive assessments was used to identify the cognitive structure of unrelated adolescent brain cognitive development study participants (n = 9,655). We modeled associations between neurocognitive PCs and odds of tobacco or alcohol use by ages 13–14 years using generalized linear mixed models with a logit link and random intercept for recruitment sites. Demographics, family conflict, neighborhood safety, and externalizing and internalizing behavior were considered covariates. ResultsFour neurocognitive PCs were identified and labeled general ability, executive function, learning and memory, and mental rotation. Mental rotation [odds ratio [OR] = 0.88, p-value = .013] was associated with lower odds of youth tobacco use; the association was stronger among female youth. General ability [OR = 1.20, p-value < .0001] among both males and females, and learning and memory [OR = 1.11, p-value = .024] among females, were associated with increased odds of youth alcohol use. DiscussionAmong youth, higher neurocognitive performance was protective for tobacco use but increased the likelihood of alcohol use. Potential sex differences were identified. The role of cognition in processing the social contexts surrounding tobacco and alcohol use in the United States may contribute to the formation of disparate youth expectancies for tobacco and alcohol use.

“You can't really turn it off”: The police “sixth sense” as cultural schema

AbstractA variety of concepts in the policing literature denote a so‐called “sixth sense” that police officers claim to possess. “Intuition,” “suspicion,” or “common sense” all specify a tacit knowledge said to heighten an officer's sensitivity to danger and potential suspects. This paper argues this type of knowledge exemplifies the application of “cultural schema” (DiMaggio, 1997): a shared knowledge structure that allows people to respond to environmental stimuli in ways that render their lives more predictable. We combine two case studies—one in Canada, the other in the Netherlands—which include ethnographic field notes and 199 interviews with police officers, to reconsider the police sixth sense in light of theoretical and empirical advances in cultural sociology and cognition research. This paper further discusses the benefit of studying this sixth sense itself as a form of cultural knowledge—that is, as “police culture”—to improve our understanding of cultural resources most or least compatible with emerging police reforms.