Knowledge Of Structure Research Articles

Vascular Risk Factors and Brain Health in Aging: Insights from a Community-Based Cohort Study.

The aging population and high rates of Alzheimer's disease (AD) create significant medical burdens, prompting a need for early prevention. Targeting modifiable risk factors like vascular risk factors (VRFs), closely linked to AD, may provide a promising strategy for intervention. This study investigates how VRFs influence cognitive performance and brain structures in a community-based cohort. In this cross-sectional study, 4,667 participants over 50 years old, drawn from the Beijing Ageing Brain Rejuvenation Initiative project, were meticulously examined. Cognitive function and VRFs (diabetes mellitus, hypertension, hyperlipidemia, obesity, and smoking), were comprehensively assessed through one-to-one interviews. Additionally, a subset of participants (n = 719) underwent MRI, encompassing T1-weighted and diffusion-weighted scans, to elucidate gray matter volume and white matter structural network organization. The findings unveil diabetes as a potent detriment to memory, manifesting in atrophy within the right supramarginal gyrus and diminished nodal efficiency and degree centrality in the right inferior parietal lobe. Hypertension solely impaired memory without significant structural changes. Intriguingly, individuals with comorbid diabetes and hypertension exhibited the most pronounced deficits in both brain structure and cognitive performance. Remarkably, hyperlipidemia emerged as a factor associated with enhanced cognition, and preservation of brain structure. This study illuminates the intricate associations between VRFs and the varied patterns of cognitive and brain structural damage. Notably, the synergistic effect of diabetes and hypertension emerges as particularly deleterious. These findings underscore the imperative to tailor interventions for patients with distinct VRF comorbidities, especially when addressing cognitive decline and structural brain changes.

Knowledge domains and emerging trends in radiotherapy in oesophageal cancer from 2004 to 2023: a bibliometric analysis and visualization study.

Esophageal cancer (EC) is a malignant tumour with high morbidity and mortality rates. Recent studies have shown that much progress has been made in the research of radiotherapy in EC. This study aims to provide a comprehensive overview of the knowledge structure and research hotspots of radiotherapy in EC through bibliometrics. Publications related to radiotherapy in EC from 2014 to 2023 were searched on the web of science core collection database. VOSviewers, CiteSpace and R package 'bibliometrix' were used to conduct this bibliometric analysis. In total, 4258 articles from 76 countries led by China and the USA were included. The Chinese Academy of Medical Sciences-Peking Union Medical College has the highest number of publications. International Journal of Radiation Oncology Biology Physics is the most popular journal and also the most co-cited journal in this field. These publications come from 21 972 authors among which Liao Zhongxing had published the most papers and Cooper JS was co-cited most often. Neoadjuvant chemoradiotherapy and strategies based on it are the main topics in this research field. 'IMRT' and 'immunotherapy' are the primary keywords of emerging research hotspots. This is a bibliometric study that comprehensively summarizes the research trends and developments of radiotherapy in EC. This information identifies recent research frontiers and hot directions, which will provide a reference for scholars studying radiotherapy in EC.

An academic achievements visualization research in the past 30 years: research on rehabilitation for head and neck cancer.

Head and neck cancer acts as the sixth most common malignant tumor worldwide with an increasing incidence. The needs and methods of its rehabilitation are diverse and constantly evolving. This study aims to provide an in-depth depiction and visualization of the knowledge structure, hotspots, and emerging trends within the domain in the past 30 years through utilizing bibliometric analysis. The literature about rehabilitation for head and neck cancer in Web of Science was collected. CiteSpace and VOSviewer were used to analyze main countries, institutions, authors, journals, subject hotspots, trends, frontiers, etc. A total of 1869 papers have been published since 1994. These publications were written by 874 authors from 514 institutions in 74 countries. The United States published 397 papers in this field and ranked first. Head & Neck is the most widely published journal, with Finizia, Caterina as the core author. The main keyword clustering includes terms such as #0 mandibular reconstruction (2009); #1 functional impairment (2014); #2 device lifetime (2006); #3 head and neck cancer (2003); #4 maxillofacial prosthetics (2004); #5 squamous cell carcinoma (2002); #6 readiness for return to work (2009); #7 total laryngopharyngectomy (2004). The current research frontier that has been sustained is "survivors", "reliability", and "meta analysis". We reveal the current status, hotspots, and trends in the field of rehabilitation for head and neck cancer. And we provided new academic insights into the characteristics and limitations of the field's development.

In Situ Structural Characterization of Cardiomyocyte Microenvironment by Multimodal STED Microscopy

Within the myocardium, cardiomyocytes reside in a complex and dynamic extracellular matrix (ECM) consisting of a basement membrane (BM) and interstitial matrix. The interactions between cardiomyocytes and the myocardial ECM play a critical role in maintaining cardiac geometry and function throughout cardiac development and in adult hearts. Understanding how the structural changes of the myocardial ECM affect cardiomyocyte function requires knowledge of pericellular structures. These structures are of a size beyond the resolution of conventional optical microscopy. Here, we demonstrated multi-scale and multi-aspect characterization of the cardiomyocyte microenvironment in myocardial tissue sections using multimodal stimulated emission depletion (STED) microscopy. Second harmonic generation and autofluorescence facilitated multiplexed imaging, enabling the interpretation of protein distribution in 3D. STED imaging modality revealed BM structures of cardiomyocytes and myocardial capillaries at the subdiffractional level. Moreover, meaningful measurements retrieved from acquired images, such as sarcomere length and capillary density, enabled quantitative assessment of myocardial structures.

The network structure of cognitive impairment: from Subjective Cognitive Decline to Alzheimer's Disease.

It was proposed that a reorganization of the relationships between cognitive functions occurs in dementia, a vision that surpasses the idea of a mere decline of specific domains. The complexity of cognitive structure, as assessed by neuropsychological tests, can be captured by Exploratory Graph Analysis (EGA).EGA was applied to the neuropsychological assessment of people (humans) with Subjective Cognitive Decline (SCD), Mild Cognitive Impairment (MCI), and Alzheimer's Disease (AD) (Total N=638). Both sexes were included.In AD, memory scores detach from the other cognitive functions and memory subdomains reduce their reciprocal relation. SCD showed a pattern of segregated neuropsychological domains, and MCI showed a noisy and less stable pattern.Results suggest that AD drives a reorganization of cognitive functions toward a less fractionated architecture compared to preclinical conditions. Cognitive functions show a reorganization that goes beyond the performance decline. Results also have clinical implications in test interpretations and usage.Significance Statement The manuscript proposes an innovative vision for the study of the complex reorganization of cognition in people with dementia.We applied a sophisticated, reliable, cutting-edge statistical method (i.e., Exploratory Graph Analysis - EGA) to the neuropsychological evaluations of 638 patients classified into Subjective Cognitive Decline (N=155), Mild Cognitive Impairment (N=242) and Alzheimer's Disease (N=241).Patients with Alzheimer's Disease showed a simplified architecture as compared to subjects with Subjective Cognitive Decline. The MCI group resulted in sharing specific aspects with the SCD and others with the AD.Recognizing the complexity of the cognitive organization is fundamental for properly understanding cognitive impairment and stimulate the discussion about the interpretation of neuropsychological profiles from a more systemic point of view.

Global research trends in regulating gut microbiome to improve type 2 diabetes mellitus: bibliometrics and visual analysis.

Gut microbiome (GM) and type 2 diabetes mellitus (T2DM) have two-way effects. Improving T2DM by modulating GM in various ways, such as diet, exercise, and medication, is gradually becoming popular, and related studies have yielded positive results. However, there is still a lack of high-quality bibliometric analyses of research in this area. This study aims to systematize and comprehensively summarize the knowledge structure, research tropics, and research trends of GM and T2DM through bibliometric analysis. Publications related to GM and T2DM before January 9, 2024, in the Web of Science Core Collection (WOSCC) were searched in this study. Microsoft Excel 2019 was used to analyze publishing trends and CiteSpace (v.6.1.R6 Advanced) was used to analyze institutions, cited journals, references, and keywords.SCImago Graphica (v.1.0.39) was used to analyze countries/regions, institutions' collaborations, cited authors, and published journals. We finally included 1004 articles published from 2008 to 2023. The number of published articles showed an upward trend and reached its peak in 2022. China is the country with the largest number of articles, Univ Copenhagen is the institution with the largest number of articles, Fukui, Michiaki, Hamaguchi, Masahide are the scholars with the largest number of articles, and Cani and Patrice D. are the scholars with the largest number of citations. NUTRIENTS(Q1/5.9) published the most publications, while Nature (Q1/64.8; Cited 804 times) is the most frequently cited journal. Gut microbiota, Obesity, and insulin resistance are the most frequently used keywords. This study found that current researches focus on the effects of diet, exercise, and pharmacological modification of GM to improve T2DM and explores specific mechanisms. Future researches will focus on three areas: complications of T2DM and specific physiological processes, methods and measures to regulate GM, and new experimental techniques and assays. The current researches confirmed the effects and specific mechanisms of modulating GM to improve T2DM. Further exploration of the effects of modulating GM on T2DM complications and specific physiologic processes is a future trend of research. Exploring specific methods for regulating GM and developing new experimental techniques and assays are important for future research.

Embracing Craton Complexity at Depth

Variations within individual cratons, as well as across different cratons, are readily apparent at the Earth’s surface, providing indirect insight into the processes governing the formation and evolution of the underlying regions. However, our views at depth are more limited. As such, there is a risk of interpreting the cratonic lithosphere as a monolith. Recent modeling and advances in seismological imaging have enhanced our perspective of vertical variations within the cratonic lithosphere, which has helped build a general conceptual model. While lateral variations also are increasingly identified, their significance still presents unanswered questions. In this review, we summarize the current state of knowledge of cratonic lithospheric structure and demonstrate the importance of lateral heterogeneity in craton evolution and stability.

Parameter-Efficient Person Re-Identification in the 3D Space.

People live in a 3D world. However, existing works on person re-identification (re-id) mostly consider the semantic representation learning in a 2D space, intrinsically limiting the understanding of people. In this work, we address this limitation by exploring the prior knowledge of the 3D body structure. Specifically, we project 2D images to a 3D space and introduce a novel parameter-efficient omni-scale graph network (OG-Net) to learn the pedestrian representation directly from 3D point clouds. OG-Net effectively exploits the local information provided by sparse 3D points and takes advantage of the structure and appearance information in a coherent manner. With the help of 3D geometry information, we can learn a new type of deep re-id feature free from noisy variants, such as scale and viewpoint. To our knowledge, we are among the first attempts to conduct person re-id in the 3D space. We demonstrate through extensive experiments that the proposed method: (1) eases the matching difficulty in the traditional 2D space; 2) exploits the complementary information of 2D appearance and 3D structure; 3) achieves competitive results with limited parameters on four large-scale person re-id datasets; and 4) has good scalability to unseen datasets. Our code, models, and generated 3D human data are publicly available at https://github.com/layumi/person-reid-3d.

DNA Dance Revolution

Abstract This paper proposes to teach students biology through dance. Knowledge of nucleotides, amino acids, and structures of DNA and protein is used to create dance music and choreography. The three nucleotides (A, T, G, or C) making up the amino acids of selected proteins are converted into a musical note. In accordance with DNA’s double helix structure and base-pairing, the authors designed a low-cost, in-house Dance Dance Revolution (DDR) machine to allow for a dual player dance mode that requires students to synchronize their choreography during gameplay.

Recent Developments in Research on Food Waste and the Circular Economy

Food waste is a global challenge, with profound implications for food security, resource utilization, and sustainability. A circular economy represents a promising solution in addressing food waste effectively by keeping food materials and products in use and circulating them within the economy. To provide an overview of the research on food waste and the circular economy model in the past decade, this study examines 1022 documents on food waste and circular the economy to ascertain the state, themes, and knowledge structure of the field. The results showed that the number of publications has increased greatly in the past decade. “Circular economy of food”, “bioenergy”, “waste valorization”, “waste management”, “resource recovery”, and “environmental assessment” were the major research themes. Earlier studies focused on resource recovery from organic waste and the bioeconomy of bio-products; recent research interests shifted to sustainability and the valorization of agri-food waste. On the other hand, some highly cited documents and productive authors were important in the development of research on food waste and the circular economy. Furthermore, three groups of journals—“food and environmental sciences”, “open access”, and “environmental sustainability and resource management”—and five clusters of international collaboration—“European Union Group”, “advanced economy group”, “agricultural economies”, “global influencers”, and “isolated countries”—were identified. This study provides readers with an overview of the research field of food waste and the circular economy.

Bibliometric analysis of the association between periodontal disease and cardiovascular disease

PurposeConduct a bibliometric analysis to review the knowledge structure and research trends regarding the association between periodontal disease and cardiovascular disease (CVD). MethodsThe Web of Science Core collection database was searched for retrieving publications related to periodontitis and CVD between January 1, 2003 and December 31, 2022. The VOSviewer, CiteSpace, and R software package “bibliometrix” were employed for the bibliometric analysis. ResultsIn total, 3447 articles were collected from 98 countries over the past 20 years, with the United States (1,003), Japan (377), and China (321) contributing the most publications. The literature in this field exhibited exponential growth. The University of Helsinki (n = 125, 1.37 %) holds the distinction of being the research institution with the highest number of publications, with a predominant representation from institutions in the United States. Notably, the Journal of Periodontology emerges as the most popular journal in the field, whereas the Journal of Clinical Periodontology takes the lead in terms of citations. These publications originated from 15,236 authors, with Pussinen (n = 40) having the highest number of published papers and Tonetti (n = 976) garnering the most citations. The visualization analysis of keywords identified “oral microbiome,” “inflammation,” and “porphyromonas gingivalis” as emerging research hotspots in exploring the relationship between periodontitis and CVDs. ConclusionThrough a comprehensive bibliometric analysis, this study posits that periodontitis may heighten the risk of cardiovascular events, offering valuable academic references for scholars investigating the link between periodontitis and CVDs.

Bibliometric Analysis Of Publications On Time-Driven Activity Based Costing Method

Purpose: This research seeks to conduct a comprehensive review of the Time-Driven Activity Based Costing (TDABC) literature employing a bibliometric analysis methodology. Design/Methodology: Within the present study, parameters including the annual publication count, the foremost contributing countries and organizations, the most cited studies in the Web of Science (WoS), the most prolific authors, and the most influential journals were systematically scrutinized. Additionally, keywords were employed to delineate the structural contours of the field. The VOSviewer software was utilized to discern prevailing trends within the TDABC literature. A total of 394 articles were identified through the Web of Science database spanning the timeframe from 2004 to January 2024. Findings: The findings indicate a substantial growth in the TDABC literature. The seminal work by Kaplan & Anderson (2004) stands out as the most frequently cited study. In co-citation analysis, author R.S. Kaplan leads with 655 citations, while Harvard Business Review attains the highest citation count among journals with 500 citations. The United States emerges as the predominant contributor to TDABC literature in terms of documents. The Journal of Arthroplasty emerges as the most prolific journal, producing 14 articles. Keyword analysis highlights the predominant focus on concepts such as 'time-driven activity-based costing' and 'cost analysis,' predominantly within the healthcare domain. Limitations: The primary constraint of this study resides in its exclusive reliance on the WOS Core Collection for analysis, thereby excluding sources not disseminated online through databases like Tübitak ULAKBİM in Turkey, as well as Scopus and PubMed in the international scholarly domain. Originality/Value: This study demonstrates originality and scholarly value by pioneering a systematic examination of the Time-Driven Activity-Based Costing (TDABC) literature through the lens of bibliometric analysis. Through this approach, the study aims to uncover evolving research trends, identify key contributors and networks, assess the impact of TDABC research, map the knowledge structure within the field, and inform future research agendas. By employing visualization tools and comparative analyses, the article seeks to offer a comprehensive understanding of the TDABC literature.

Evaluation of a novel General Education Courses on Radiation Protection for Undergraduates.

Objective: To evaluate the effectiveness of a general education course titled "The Basis of Radiation Protection" in building and strengthening undergraduate awareness of radiation safety and cultivating innovative individuals with reasonable knowledge structures and strong practical abilities. Methods: All students from 2021 to 2022 enrolled in the core general education course "The Basis of Radiation Protection" at Shandong University of China were invited to participate. A questionnaire survey was conducted to determine changes in the students' basic cognition of radiation safety and scientific protection before and after the course. Results: The survey indicated that the cognitive level of radiation science protection had significantly improved through course completion. The Liszt quantification score range increased from 3.45 to 4.77 to 4.81 to 4.98 (p < 0.001). Further analysis revealed that different professional backgrounds significantly affected students' understanding of radiation safety protection; medical students were superior to electrical engineering students in their knowledge of ionizing radiation before the course (p < 0.001). However, after course completion, the understanding of students from both majors regarding radiation safety had relatively improved, and no significant difference was detected (p > 0.05). Feedback on the course showed that the awareness of "daily radiation protection" had significantly improved (96.8%), pseudoscience and pseudo-information could be correctively identified (93.6%), "nuclear power"-related fears had been dispelled (95.7%), and the concept of "cherishing life" had been effectively established (91.5%). Conclusion: The course effectively improved the awareness of radiation safety, strengthened the knowledge system, and provided a new way to cultivate innovative talent with reasonable knowledge structures.

Higher-order structure and proteoforms of co-occurring C4b-binding protein assemblies in human serum.

The complement is a conserved cascade that plays a central role in the innate immune system. To maintain a delicate equilibrium preventing excessive complement activation, complement inhibitors are essential. One of the major fluid-phase complement inhibitors is C4b-binding protein (C4BP). Human C4BP is a macromolecular glycoprotein composed of two distinct subunits, C4BPα and C4BPβ. These associate with vitamin K-dependent protein S (ProS) forming an ensemble of co-occurring higher-order structures. Here, we characterize these C4BP assemblies. We resolve and quantify isoforms of purified human serum C4BP using distinct single-particle detection techniques: charge detection mass spectrometry, and mass photometry accompanied by high-speed atomic force microscopy. Combining cross-linking mass spectrometry, glycoproteomics, and structural modeling, we report comprehensive glycoproteoform profiles and full-length structural models of the endogenous C4BP assemblies, expanding knowledge of this key complement inhibitor's structure and composition. Finally, we reveal that an increased C4BPα to C4BPβ ratio coincides with elevated C-reactive protein levels in patient plasma samples. This observation highlights C4BP isoform variation and affirms a distinct role of co-occurring C4BP assemblies upon acute phase inflammation.

Irrigation scheduling needs to consider both plant‐available water and soil aeration requirements

AbstractGlobal food production relying on irrigated agriculture accounts for &gt;70% of the global freshwater withdrawal. A thorough understanding of soil–water characteristics (SWCs) and critical soil–water values in the soil and subsoil is important for effective management of irrigated water. A critical soil–water “window” for plants is generally taken as the plant‐available water window without considering diffusion‐dominated soil aeration as a co‐requisite. This study examined SWC curves in vadose soil profiles (up to 1.5‐m depth) in eight pasture soils. The soil moisture measurements were made over matric potentials ranging from −1 to −1500 kPa using tension table and pressure plate apparatus. The van Genuchten model was used to parameterize the measured SWC curve, while the Millington‐Quirk model was used to derive soil–gas diffusivity from measured soil physical properties. We defined critical soil–water windows considering the threshold values for both plant‐available water and soil–gas diffusivity to ensure water and aeration corequisites for plant growth. The results clearly distinguished depth‐dependent regimes of gravitational, plant‐available, and unavailable water in selected profiles and their responses to soil structural changes across the depth. In some of the observed soil profiles, only 30%–60% of the plant‐available water window was able to be utilized by plants because the remainder existed under soil conditions where soil aeration was inadequate for plant growth, emphasizing the importance of considering both the plant's water and aeration requirements during irrigation scheduling. Further, the infiltration profiles in two selected soils under simulated irrigation highlighted the importance of a priori knowledge of the soil structure in deeper soil layers for scheduling irrigation.

Bibliometrics analysis of hotspots research on infertility syndromes and polystyrene.

Polystyrene plastic pollution poses a pressing environmental concern and represents a significant risk factor for infertility. Despite this, a comprehensive overview of the field remains scarce, with future trends largely unknown. Bibliometrics, an applied mathematical and statistical method, offers a means to analyze textual information across various levels, facilitating quantitative assessments of all knowledge carriers and unveiling the nature and developmental trajectories of a discipline. This study aimed to employ bibliometric methods to scrutinize the current status and research hotspots within the realm of polystyrene and infertility. Literature spanning from 1980 to 2023 pertaining to polystyrene and infertility was retrieved from the core database of Web of Science. Quantitative analyses were conducted utilizing CiteSpace (version 5.7.R7), VOSviewer (version 1.6.18.0), and an online literature analysis website (https://bibliometric.com/). The analysis visually represented countries, institutions, authors, journals, and keywords within the field. This study delved into the development history, knowledge structure, research hotspots, and potential trends in the field, furnishing a macro perspective for researchers. The investigation encompassed 267 articles published across 120 journals by 1,352 authors affiliated with 417 institutions in 51 countries, with these articles garnering 10,310 citations across 2,811 journals. The top three countries contributing the most articles were China, the United States, and Germany. In essence, the research hotspots primarily revolved around metabolism, endocrinology, and immunity. Despite China's relatively recent entry into this field, its rapid development is evident. However, the low citation frequency suggests a need for improved article quality.

Unveiling current and future trends in customer banking experience research: a bibliometric analysis

PurposeThis research is the first to use bibliometric analysis to provide insight into the landscape and forecast the future of customer experience research in the banking sector.Design/methodology/approachWe used bibliographic coupling and co-word analysis to delineate the existing knowledge structure after reviewing 338 articles from the Web of Science database.FindingsThe bibliographic coupling analysis revealed five key clusters: customer engagement and experience in digital banking; customer experience and service management; customer experience and market resilience; digital transformation and customer experience; and digital technology and customer experience—each representing a significant strand of current research. In addition, the co-word analysis revealed four emerging themes: customer experience through AI and blockchain, digital evolution in banking, experience-driven ecosystems for customer satisfaction, and trust-based holistic banking experience.Practical implicationsThese findings not only sketch an overview of the current research domain but also hint at emerging areas ideal for scholarly investigation. While highlighting the industry’s rapid adaptation to technological advances, this study calls for more integrative research to unravel the complexities of customer experience in the evolving digital banking ecosystem.Originality/valueThis review presents a novel state-of-the-art analysis of customer banking experience research by employing a science mapping via bibliometric analysis to unveil the knowledge and temporal structure.

Alpha Carbonic Anhydrase from Nitratiruptor tergarcus Engineered for Increased Activity and Thermostability.

The development of carbon capture and storage technologies has resulted in a rising interest in the use of carbonic anhydrases (CAs) for CO2 fixation at elevated temperatures. In this study, we chose to rationally engineer the α-CA (NtCA) from the thermophilic bacterium Nitratiruptor tergarcus, which has been previously suggested to be thermostable by in silico studies. Using a combination of analyses with the DEEPDDG software and available structural knowledge, we selected residues in three regions, namely, the catalytic pocket, the dimeric interface and the surface, in order to increase thermostability and CO2 hydration activity. A total of 13 specific mutations, affecting seven amino acids, were assessed. Single, double and quadruple mutants were produced in Escherichia coli and analyzed. The best-performing mutations that led to improvements in both activity and stability were D168K, a surface mutation, and R210L, a mutation in the dimeric interface. Apart from these, most mutants showed improved thermostability, with mutants R210K and N88K_R210L showing substantial improvements in activity, up to 11-fold. Molecular dynamics simulations, focusing particularly on residue fluctuations, conformational changes and hydrogen bond analysis, elucidated the structural changes imposed by the mutations. Successful engineering of NtCA provided valuable lessons for further engineering of α-CAs.

CoCoSo framework for multi-attribute decision-making with triangular fuzzy neutrosophic sets: “Innovation and entrepreneurship” evaluation case

The “innovation and Entrepreneurship” education focuses on cultivating students’ “innovation and Entrepreneurship” abilities, reflecting the fundamental requirements of economic progress and social development for the knowledge, ability, and quality structure of talents. Local universities should actively promote the reform of talent cultivation models, establish a scientific “innovation and Entrepreneurship” education target system based on the actual situation of the school, strengthen the construction of “innovation and Entrepreneurship” education courses, build various “innovation and Entrepreneurship” practice platforms, pay attention to the interaction between the first and second classrooms, as well as practical and training platforms, serve the growth and talent development of students, and achieve a comprehensive improvement in the quality of school education, teaching, and talent cultivation. The “innovation and Entrepreneurship” education quality evaluation of local colleges could be considered as multiple attribute decision-making (MADM). Recently, the Combined Compromise Solution (CoCoSo) method and information entropy method was employed to deal with MADM. The triangular fuzzy neutrosophic sets (TFNSs) are employed as a better tool for expressing uncertain information during the “innovation and Entrepreneurship” education quality evaluation of local colleges. In this paper, the triangular fuzzy neutrosophic number CoCoSo (TFNN-CoCoSo) based on the TFNN grey rational coefficients (TFNNGRC) from TFNN positive ideal solution (TFNNPIS) is constructed to cope with the MADM under TFNSs. The information entropy method is employed to compute the weight values based on the TFNNGRC from TFNNPIS under TFNSs. Finally, a numerical example of “innovation and Entrepreneurship” education quality evaluation of local colleges is constructed and some decision comparisons are constructed to verify the TFNN-CoCoSo method.

Exploring the latent cognitive structure in schizophrenia: implications for antipsychotic treatment responses.

Individuals diagnosed with schizophrenia present diverse degrees and types of cognitive impairment, leading to variations in responses to antipsychotic treatments. Understanding the underlying cognitive structures is crucial for assessing this heterogeneity. Utilizing latent profile analysis (LPA) enables the delineation of latent categories of cognitive function. Integrating this approach with a dimensional perspective allows for the exploration of the relationship between cognitive function and treatment response. This study examined 647 patients from two distinct cohorts. Utilizing LPA within the discovery cohort (n = 333) and the replication cohort (n = 314), latent subtypes were identified categorically. The stability of cognitive structures was evaluated employing Latent Transition Analysis (LTA). The relationship between cognitive function and treatment response were investigated by comparing Positive and Negative Syndrome Scale (PANSS) reduction rates across diverse cognitive subtypes. Furthermore, dimensional insights were gained through correlation analyses between cognitive tests and PANSS reduction rates. In terms of categorical, individuals diagnosed with schizophrenia can be categorized into three distinct subtypes: those 'without cognitive deficit', those 'with mild-moderate cognitive 'eficit', and those 'with moderate-severe cognitive deficit'. There are significant differences in PANSS reduction rates among patients belonging to these subtypes following antipsychotic treatment (p < 0.05). Furthermore, from a dimensional perspective, processing speed at baseline is positively correlated with PANSS score reduction rates at week 8/week 10 (p < 0.01). Our findings have unveiled the latent subtypes of cognitive function in schizophrenia, illuminating the association between cognitive function and responses to antipsychotic treatment from both categorical and dimensional perspectives.