Ideas Spread Inc. (E-Journals)
Not a member yet
1368 research outputs found
Sort by
A Pragmatic Analysis of Modality in English Academic Texts in Nigeria and Iraq
Get PDFDespite scholars’ attention on the typology of modality as a linguistic phenomenon, yet the use of modality across varieties of English is not well visible in communication-based researches that take semantics, pragmatics and discourse issues as the objects for their investigation. The paper generates its data from six M. A. dissertations from Nigerian University and equal number of the M. A. dissertations from Iraqi University to qualitatively and quantitatively investigate the contextual use of modality within the pragmatic perspective. The data analysis reveals that modality such as usuality, potentiality, necessity, probability and obligation in the dissertations encapsulates interpersonal and authorial voice in which the meaning of a clause is qualified to reflect the writer’s judgment of the likelihood of the proposition it expresses being true. The study findings also show the divergent use of modality to indicate certainty, possibility, probability and evidence and the nature of their illocutionary forces in the academic writings through verb modals and lexically modalized presentations in the MA. Dissertations that form the data of the study
Evolution of Approaches and Methods in Teaching Foreign Languages
Get PDFForeign language teaching is a complex process, in addition to involving the main subjects of teaching -students and teachers- as well as the teaching and learning activities generated between them, it also includes an extremely complex element: language. Since it encompasses aspects of complexity, human knowledge about it necessarily depends on the level and general methods of understanding the world. The question of the nature of language is essential for foreign language teaching, as it directly influences the principles, objectives, and design of teaching. Language teaching methods have evolved, from traditional approaches to communicative methods. In this study, we briefly present some of the main methods and approaches to language teaching so that we can understand better their nature and to adopt a panoramic and scientific perspective on our teaching
Leveraging Digital Tools for Precision Logistics: IoT and ERP in Automotive Steel Distribution
Get PDFThe automotive steel distribution industry faces increasing pressure to achieve higher efficiency, accuracy, and responsiveness. Traditional logistics models are limited by information silos, delayed coordination, and high operational costs. Leveraging digital tools such as the Internet of Things (IoT) and Enterprise Resource Planning (ERP) offers new opportunities for building precision logistics systems. This paper investigates how IoT enables real-time monitoring, data acquisition, and traceability in steel transportation, while ERP provides centralized management for inventory, orders, and scheduling. By constructing an IoT–ERP integration model, the study demonstrates how the synergy of both technologies can optimize the automotive steel distribution process. A case study highlights the practical application, showing improvements in delivery accuracy, inventory turnover, and operational efficiency. The findings indicate that IoT and ERP integration not only enhances supply chain transparency but also provides valuable insights for digital transformation in the automotive logistics sector
Generative Graph based Model Inversion Attack on Graph Neural Network
Get PDFAiming at the privacy leakage risks of Graph Neural Networks (GNNs) in black-box scenarios, this paper proposes a Generation-Graph based Model Inversion Attack on GNN (GenG-MIA). By constructing a generative attack framework and integrating public knowledge distillation with structural optimization strategies, the proposed method effectively addresses challenges such as the high-dimensional sparsity of graph structure data, generative bias, and model collapse. GenG-MIA operates in two stages: first, during the public knowledge distillation stage, Wasserstein GAN is employed to train generators and discriminators on public datasets, enhancing the authenticity and diversity of generated graphs through a diversity loss term and introducing local/global discriminators to mitigate semantic gaps; second, in the structure revelation stage, potential vector projections are optimized to align with the feature space of the target model, thus recovering missing sensitive structures in training graphs. Experimental results show that GenG-MIA significantly outperforms existing methods in terms of attack accuracy and efficiency, enabling the efficient reconstruction of the topological structures of target training graphs and providing a new paradigm for privacy risk assessment of GNN models. This study further expands the application potential of generative attacks in complex graph data scenarios and offers theoretical references for privacy protection and model robustness design
Decoding the Genetic Interplay: Integrated Computational Insights into the Interplay Between Peri-Implantitis and Osteoporosis
Get PDFBackground: Peri-implantitis (PI) and osteoporosis (OP) are prevalent chronic conditions with substantial health impacts, yet the genetic and molecular links between these diseases are not fully understood. Clarifying the shared genetic similarities between PI and OP is crucial for enhancing diagnostic and therapeutic strategies.
Objective: The study aims to elucidate the shared genetic and molecular pathways between PI and OP through an integrated computational biology analysis, contributing to the development of more effective diagnostic and therapeutic approaches.
Methods: The research utilized PI-related datasets GSE33774 and GSE106090 from the GEO database and genes associated with PI and OP from DisGeNET. Differential expression analysis was conducted using the "limma" package in R. Protein-Protein Interaction (PPI) networks were constructed with Cytoscape, identifying cross-talk genes between PI and OP. The LASSO model was applied for marker gene selection and GO Biological Process and KEGG pathway analyses were conducted. Analyses of drug susceptibility and immune infiltration were also included to understand potential therapeutic implications and the role of the immune environment.
Results: The analysis identified key differentially expressed genes (DEGs) in PI and significant cross-talk genes between PI and OP. The PPI network highlighted central genes like HIF1A, TNF, TGM2, and SPP1. Marker genes (i.e., PIK3CG, SFRP4, CCR5, and PRLR) pinpointed through LASSO and logistic regression showed significant correlations with the cross-talk genes. Insights into drug susceptibility and the immune infiltration landscape in both conditions were provided. Single cell analysis further delineated the expression patterns of these marker genes in relevant cell types.
Conclusion: This study uncovers novel insights into the shared genetic landscape of peri-implantitis (PI) and osteoporosis (OP) by identifying four key marker genes—PIK3CG, SFRP4, CCR5, and PRLR—and their roles in the pathogenesis of these conditions. The integrated computational biology approach employed in this research contributes to the current body of literature by offering a deeper understanding of the genetic and molecular mechanisms underlying the interplay between PI and OP
The Modulatory Effects of Tai Chi on the Circadian Rhythms and Sleep Quality of Seafarers in Different Navigational Regions
Get PDFThe circadian rhythm and sleep quality of seafarers are critical for their health and maritime safety; however, both are highly susceptible to disruption by environmental factors specific to different navigational regions. In particular, trans-meridian (east-west) voyages involving rapid time-zone crossings, and high-latitude (north-south) voyages encountering polar day/night phenomena, can severely disrupt the human circadian system. This study aims to investigate the potential modulatory effects of Tai Chi, as a non-pharmacological and easily implementable mind-body intervention, on the circadian rhythms and sleep quality of seafarers under different navigational conditions and to explore its differential mechanisms. This paper first systematically analyzes the core challenges to circadian rhythms posed by two typical navigational regions: the former leading to phase desynchronization between the internal clock and the external environment, and the latter causing a deficiency or disturbance of the primary zeitgeber (light). Subsequently, the paper reviews the scientific evidence for Tai Chi’s role in regulating the autonomic nervous system, optimizing neuroendocrine rhythms, and improving sleep architecture. Based on this, a core theoretical model is proposed, positing that Tai Chi may act as a potent “non-photic zeitgeber”. Through regular, daily practice at a fixed time, it can provide a stable and predictable synchronizing signal to the seafarer’s internal biological clock. We further hypothesize that Tai Chi’s mechanism of action is context-dependent: during trans-meridian voyages, it primarily serves as a rhythmic anchor to accelerate phase re-entrainment and combat jet lag; during high-latitude voyages, it functions to substitute and enhance a weak or absent light signal, helping to maintain the stability of endogenous rhythms. To validate this model, a 2x2 factorial designed randomized controlled trial is proposed to prospectively compare changes in circadian rhythms (measured by actigraphy and salivary hormones) and subjective sleep quality between a Tai Chi intervention group and a control group across the two different navigational regions. This research not only aims to provide an innovative and scientific intervention for the sleep and rhythm problems faced by seafarers in extreme environments but also seeks to deepen the understanding of mind-body exercise as a form of behavioral chronotherapy, thereby opening new avenues for safeguarding the health and safety of special occupational populations
Clinical Characteristics of Acute Anterior Talofibular Ligament Injury in Children with Negative X-ray Fractures
Get PDFThe study aimed to explore the clinical characteristics of anterior talofibular ligament (ATFL) injury in children with negative X-ray fractures using musculoskeletal ultrasound.We analyzed a total of 85 children with low-energy ankle sprains who visited the orthopedic outpatient department of Jinan Children's Hospital from June 2023 to December 2024. All participants underwent X-ray and musculoskeletal ultrasound examinations.Based on the examination results, patients who showed fractures on X-rays and other soft tissue injuries such as ligaments on musculoskeletal ultrasound were further excluded.Finally, after strict screening, the included subjects were determined. Data on clinical examinations, X-rays, and musculoskeletal ultrasound examinations of all participants were collected. The degree of pain was assessed using the VAS pain scale, and the degree of ATFL injury was represented by the Kemmochi ultrasound standard.Finally, statistical analysis was conducted.The coincidence rate between the clinical diagnosis and ultrasound diagnosis of ATFL injury in 85 participants was 94.1%.The coincidence rate of X-ray and musculoskeletal ultrasound in the diagnosis of ankle fractures was 67.1%, and the Kappa value was 0.312. Ultimately, a total of 68 children with ATFL injury showing negative fracture results on X-rays were included, including 41 boys and 27 girls. The median age was 9.02 (95%CI,8.36-9.68), with 26 cases on the left side and 42 cases on the right side. The median injury time was 24 hours (95%CI,24.00-37.27). The median VAS pain score was 4.0 points (4.0,5.0). The most common musculoskeletal ultrasound classification was Kemmochi type V, accounting for 41.2%. In conclusion,ATFL injury is common in children with low-energy ankle sprain (94.1%). Clinical physical examination combined with musculoskeletal ultrasound diagnosis is of great significance. KemmochiⅤ was the most common type of ATFL injury with negative X-ray fractures
Correlation Study Between Subclinical Hypothyroidism and Coronary Atherosclerotic Heart Disease
Get PDFSubclinical hypothyroidism (SCH) is recognized as a potential independent risk factor for coronary artery disease (CAD). This review systematically explores the association between SCH and CAD, examining mechanisms including atherogenesis, inflammatory responses, and interactions with traditional CAD risk factors. We found that varying TSH levels, sex, and the presence of comorbidities in patients with SCH are associated with the development and progression of CAD, though the underlying mechanisms remain unclear. While thyroid hormone replacement therapy can improve lipid profiles and endothelial function, the cardiovascular benefits regarding hard endpoints in patients with mild SCH (TSH<10 mIU/L) or in elderly populations require confirmation through large randomized controlled trials (RCTs). In conclusion, the association between SCH and CAD is multifactorial and synergistic, and clinical intervention should consider individualized TSH levels, age, and the presence of comorbidities
Construction and Practical Verification of a "Risk-Collaboration-Digitalization" Trinity Project Management Model for Cardiovascular and Cerebrovascular Innovative Drug R&D
Get PDFCardiovascular and cerebrovascular diseases (CCVDs) have become a major global public health challenge. The research and development (R&D) of innovative drugs for CCVDs faces dilemmas including long R&D cycles (12-15 years on average), high costs (USD 2.5 billion per drug on average), and high clinical failure rates (over 40% for Phase III clinical trials) due to characteristics such as target complexity, strict requirements for hard clinical endpoints, and strong demand for multidisciplinary collaboration. Traditional project management models, which focus on "schedule-cost" dual control, are insufficient to adapt to the scientific uncertainties and cross-domain collaboration needs in CCVD innovative drug R&D. Based on the full R&D process of CCVD innovative drugs (drug discovery → preclinical research → Phase I/II/III clinical trials → New Drug Application, NDA), this study proposes a "Risk-Collaboration-Digitalization" trinity project management model through literature analysis, risk map construction, cross-functional team (CFT) mechanism design, and digital tool integration. Taking a new PCSK9 inhibitor (a lipid-lowering innovative drug for CCVDs) R&D project of a pharmaceutical enterprise as a verification case, key indicators before and after the model application were compared: the R&D cycle was shortened by 15.2%, the success rate of Phase III clinical trials increased by 21.3%, the one-time approval rate of NDA rose from 72% to 89%, and R&D costs decreased by 12.5%. This study fills the theoretical gap in specialized project management for CCVD innovative drugs and provides an operable practical framework for pharmaceutical enterprises to improve the efficiency and success rate of innovative drug R&D
Research on the Path of Integrating the Spirit of Third-Line Construction into Learning-Oriented City Construction-Taking Chengdu as an Example
Get PDFThis paper examines the potential of "The Spirit of the Third Line Construction"to contribute to the development of Chengdu as a learning city. The Third-line Construction, a massive industrial relocation effort in the 1960s and 70s, instilled values of self-reliance, innovation, and dedication that continue to resonate in western China. This paper argues that these values can be leveraged to address the challenges facing Chengdu in its quest to become a leading learning city. Through a review of existing literature and analysis of Chengdu’s urban development initiatives, this paper identifies specific paths for integrating the the spirit of the third line construction into learning city construction. The findings provide practical recommendations for policymakers and stakeholders on how to foster innovation, promote lifelong learning, and enhance community engagement in Chengdu