Major Institutions Research Articles

Adaptive Hybrid Optimized LSTM Models: A Novel Computational Framework for Algorithmic Financial Trading System

In our modern society, with the development of Internet and information system, pre-programing algorithmic trading strategies for online automatic trading has also flourished, especially in the rapidly fluctuating trading market. Using quantitative trading programs that can automatically trade in response to market conditions has attracted the attention of major financial institutions and governments in the financial market. How to use self-adaptive programs to automatically trade in the ever-changing financial market has become a popular research topic for the development and pursuit of all financial markets in recent years. This research proposes an online self-adaptive trading algorithm that can be applied to financial markets such as stock market, currency markets, cryptocurrency markets, futures markets, etc. In the first part of the algorithm, the simplified swarm optimization will be used to optimize the parameters of the newly proposed flexible grid in this research. Then the data will be imported into the artificial neural network model for training in the latter part, helping the trading model automatically select the appropriate parameters for construction flexible grid corresponding to the market conditions. The greatest contribution of the research is to provide a whole new trading algorithm that can adapt to the dynamic trading market, automatically make suitable adjustments to current trading strategy and place real-time orders. The algorithm controlling both profit and risk, which can seem like a balanced trading algorithm that are robust and profitable.

Retreatment predictors after percutaneous balloon gangliolysis for trigeminal neuralgia

Percutaneous balloon ganglyolysis (PBG) for trigeminal neuralgia (TN) is an inexpensive and minimally invasive treatment modality that is effective and safe. While there are reports of its efficacy, there is still a lack of evidence of which patients are at a higher risk of treatment failures and needing retreatment. We performed a retrospective study at a major academic institution from 2012 to 2023, including TN patients who underwent PBG procedures to evaluate predictors of retreatment. Patients without imaging available from the PBG were excluded. Fifty-two patients who underwent 83 procedures in total were included in the analysis. All patients had typical TN and were primarily female (59.6%), with a median age of 61.5 years. Immediately after PBG, 42.3% had pain resolution, and 57.7% had improved but persistent pain. 30.8% underwent retreatment with PBG in a median of 32 months. From multiple factors assessed, TN disease duration ≤ 6 months and trigeminal nerve enhancement on pre-operative MRI were identified as significant retreatment predictors on univariate analysis. However, after performing logistic regression, only TN disease duration ≤ 6 months remained significant OR 3.99 (95% CI 1.59–10.0; p = 0.003). This was further confirmed in a Kaplan-Meier survival analysis, which showed that patients with TN duration ≤ 6 months require retreatment earlier (22 vs. 41 months; p = 0.01). Retreatment after PBG occurs roughly in a third of patients, and TN disease duration of ≤ 6 months is an important predictor in this study. Further studies should be performed to confirm these findings, which may impact treatment considerations in the future.

The history of Women in Radiology (WIR) programs at two academic institutions: How we did it and how we merged best practices

RationaleThe percentage of women in radiology has remained at 25 % for decades. Our institutions identified the need to recruit, support and retain women in our departments in order to change this status quo. MethodsOur institutions created two different frameworks for Women in Radiology (WIR) programs in order to meet the needs of each distinct department. The organizational structure (trainee led vs faculty led and hybrid), the need for departmental chair support, and types of events and speakers are outlined with unique programs provided by each institution. Collaboration with established programs for women within the institutions and within the region was utilized to support the developing programs. ResultsEach of the (WIR) programs has been successful in creating community, impact and sustainable programming, including a peer and faculty mentoring programs for all genders, improvements in gender equity in the workplace, the implementation of trainee parental support programs, and an overall increase in the percentage of women trainees and faculty. Over the last 3 years, the integration of the two programs into a single Women in Radiology program, also encompassing the new enterprise radiology group, has led the way during the initiation of a large institutional merger from two institutions to one large institution. OutcomesWe have provided two frameworks for developing a successful women in radiology program as well as a roadmap for combining best practices in a time of change and institutional merger at a major academic institution.

Research Overview and Development of Impatiens L.: A Bibliometric Analysis (1987–2023)

Impatiens L. plants have a variety of flower colors, abundant flowers, and unique flower types, which have high ornamental and medicinal value. This paper utilized CiteSpace (version 6.2.R4) and VOSviewer (version 1.6.20) software to analyze documents related to Impatiens L. research from 1987 to 2023, sourced from the Web of Science database (WOS) and the China National Knowledge Infrastructure (CNKI). Bibliometric analyses were conducted to explore the literature potential of Impatiens L. research, revealing publication volume, discipline distribution, major research institutions and researchers, research hotspots, and research trends. The results indicated a consistent increase in articles published on Impatiens L., with the United States, China, and India as the primary research countries. The research direction predominantly focused on plant science, ecology, and horticulture, with universities and research institutes being the main contributors. The Chinese Academy of Sciences and Florida State University were identified as having the most published articles and a strong influence. Research on Impatiens L. primarily focused on investigating new species, phenotypic plasticity, biodiversity, and systematic classification. Future efforts should emphasize the investigation and protection of Impatiens L. resources, conduct in-depth research on the plant’s active components, innovate breeding technology, and explore the biological characteristics and ecological role of Impatiens L. through interdisciplinary collaboration.

Towards a “Glocal” Teaching of the History of Graphic Design

This article examines the teaching of graphic design history in Lebanon and other Arab countries, with a focus on the incorporation of a local perspective in the curriculum. The study brings attention to overlooked elements of culture, identity, and heritage in the teaching of this topic. It advocates for the inclusion of local designers’ voices as a means to challenge the prevailing Western-centric approach found in major institutions across the Arab region. By offering recommendations derived from the author’s personal experience as a design educator in Beirut, alongside empirical research conducted in Lebanon and other Arab countries, the article presents insights and addresses the impact of colonial encounters that have resulted in the assimilation of Western-inspired methods and perceptions of modernity. It further advocates for the incorporation of local and peripheral narratives to foster a more inclusive design history and provide a broader perspective. By conducting this research, this article contributes to the broader understanding of graphic design history education and its impact on the field in the Arab region.

Event-Driven Architecture: Harnessing Kafka and Spring Boot for Scalable, Real-Time Applications

This comprehensive article explores the transformative impact of Event-Driven Architecture (EDA) in modern financial services, focusing on its implementation using Apache Kafka and Spring Boot. The article examines how financial institutions have revolutionized their transaction processing capabilities through EDA adoption, achieving significant improvements in system performance, reliability, and customer experience. Through a detailed examination of real-world implementations, the analysis demonstrates how EDA has enabled banks to handle unprecedented transaction volumes while substantially reducing system latency and improving resource utilization. The integration of Kafka and Spring Boot has proven particularly effective, with major financial institutions leveraging these technologies to achieve superior performance metrics and system availability. The article further explores critical patterns, including event sourcing, CQRS, and saga patterns, alongside cloud-based best practices for monitoring, performance optimization, and security implementations. By examining various implementation strategies and their outcomes, this article provides a comprehensive framework for building scalable, resilient financial systems that meet the demanding requirements of modern banking operations while ensuring regulatory compliance and maintaining high security and reliability standards.

Towards the year 2049: The next 25 years of occupational health and safety research.

In this discussion paper, we close our 2024 series reflecting on the successes, failures, and promises of occupational health and safety research in celebration of the 50th anniversary of the Scandinavian Journal of Work, Environment & Health (SJWEH). This paper aims to elaborate on the future of our research field. We conducted a narrative review of lessons learned in the series, examining insights gained and key takeaways. Additionally, we explored the current and anticipated agendas of major institutions, including the World Health Organization and the European Union, on occupational health and safety, as well as potential developments in the academic publishing industry. Occupational health and safety research has significantly evolved over the last 50 years, emphasizing longitudinal study designs, enriching observational data with registry-based information, and expanding the scope of hazardous determinants impacting workers` health. Novel statistical approaches have further enabled researchers to address complex associations, such as mediation effects, and to strengthen causal inference in observational studies. At the same time, the publishing business is changing rapidly, with artificial intelligence poised to reshape both research practices and the landscape of academic publishing. In the changing landscape of research and academic publishing, our goal is for SJWEH to continue to be a leading source of high-quality research dedicated to protecting and improving workers' health. We are curious and excited to see where all these current and anticipated changes will lead in the years to come.

Comparative lifespan and healthspan of nonhuman primate species common to biomedical research.

There is a critical need to generate age- and sex-specific survival curves to characterize chronological aging consistently across nonhuman primates (NHP) used in biomedical research. Sex-specific Kaplan-Meier survival curves were computed in 12 translational aging models: baboon, bonnet macaque, chimpanzee, common marmoset, coppery titi monkey, cotton-top tamarin, cynomolgus macaque, Japanese macaque, pigtail macaque, rhesus macaque, squirrel monkey, and vervet/African green. After employing strict inclusion criteria, primary results are based on 12,269 NHP that survived to adulthood and died of natural/health-related causes. A secondary analysis was completed for 32,616 NHP that died of any cause. Results show a pattern of reduced male survival among catarrhines (African and Asian primates), especially macaques, but not platyrrhines (Central and South American primates). For many species, median lifespans were lower than previously reported. An important consideration is that these analyses may offer a better reflection of healthspan than lifespan since research NHP are typically euthanized for humane welfare reasons before their natural end of life. This resource represents the most comprehensive characterization of sex-specific lifespan and age-at-death distributions for 12 biomedically relevant species, to date. These results clarify relationships among NHP ages and provide a valuable resource for the aging research community, improving human-NHP age equivalencies, informing investigators of expected survival rates, providing a metric for comparisons in future studies, and contributing to understanding of factors driving lifespan differences within and among species.

Influence of the rotation of the diverting loop ileostomy in rectal cancer surgery on small-bowel obstruction: A multicenter prospective study conducted by the Clinical Study Group of Osaka University, Colorectal Group

AimsWhether rotation of a diverting loop ileostomy during rectal cancer surgery, for reducing the catastrophic effect of an anastomotic leakage, affects the incidence of small-bowel obstruction has not been fully investigated. The purpose of this study is to explore whether technical maneuvers in diverting loop ileostomy creation, including its rotation, are associated with increased incidence of small-bowel obstruction in rectal tumor surgery. MethodsThis multicenter prospective study was conducted by the Clinical Study Group of Osaka University, which comprises 24 major institutions. Patients with rectal adenocarcinoma scheduled for laparoscopic/robotic low anterior resection or intersphincteric resection with a diverting loop ileostomy were included. A total of 451 patients were prospectively enrolled between July 2015 and April 2021. The primary endpoint was the relevance of loop ileostomy rotation to the incidence of small-bowel obstruction; the secondary endpoints included the origin of the small-bowel obstruction and length of hospital stay. ResultsSmall-bowel obstruction was observed in 10.8% in the nonrotated group and 12.3% in the rotated group, with no significant difference (P > .99). The only risk factor identified for small-bowel obstruction was distance from the ileocecal valve, with a significant difference in 16 patients (7.3%) with a distance of ≤30 cm and 16 patients (15.4%) in a distance of >30 cm (P = .028). ConclusionRotation of the diverting loop ileostomy had no significant effect on the incidence of small-bowel obstruction.

Research trends and hotspots of radioiodine-refractory thyroid cancer treatment in the twenty-first century: a bibliometric analysis.

The treatment of radioiodine-refractory differentiated thyroid cancer (RAIR-DTC) has made significant advancements in the twenty-first century. This study aimed to assess the current state of research and identify potential new directions by conducting a bibliometric analysis of scientific publications on RAIR-DTC treatment. Publications relevant to RAIR-DTC, published from January 1, 2000, to December 31, 2023, were retrieved from the Web of Science Core Collection. Bibliometric analyses of major keywords, authors, countries, institutions, publications, and journals were conducted using CiteSpace and VOSviewer. A total of 859 papers were included in the analysis. The results demonstrated a rising trend in the number of publications over time. The United States was identified as the leading contributor in terms of publication output, citations, and international collaborations. Gustave Roussy emerged as the top organization in publication productivity, while the journal Thyroid had the highest number of related publications. The research on RAIR treatment was categorized into three key hotspots: clinical trials of targeted therapies, novel therapeutic strategies, and debates surrounding the RAIR-DTC management. RAIR-DTC research is expanding from the clinical trial phase of tyrosine kinase inhibitor monotherapy to a more complex combination therapy strategy, in particular, the synergistic effect of immune checkpoint inhibitors and other therapeutic agents, requiring more high-quality prospective studies to validate the clinical benefits. Moreover, the timely identification of RAIR-DTC patients holds the potential to enable early disease intervention, constituting a pivotal novel research direction in the future.

An overview of the life and career of Seymour Reichlin, MD, PhD

This overview, part of a special Festschrift issue celebrating Dr. Seymour Reichlin’s centennial year, honors the remarkable life and enduring scientific legacy of a researcher whose journey has fundamentally shaped our understanding of neuroendocrinology. From his early insights into stress responses during World War II to his groundbreaking work on hypothalamic control of pituitary function, Dr. Reichlin’s research has bridged the gap between brain function and hormonal regulation. His discovery of multiple glucocorticoid receptor isoforms in the placenta and pioneering work on somatostatin exemplify his innovative approach to understanding complex neuroendocrine systems. Beyond his scientific achievements, Dr. Reichlin’s influence as a mentor has touched generations of endocrinologists, with his trainees leading major medical institutions worldwide. Now at 100 years old, he continues to contribute actively to the field, writing books on the neuroendocrinology of Alzheimer’s disease and exploring the biological basis of ecstatic mysticism. This paper traces his journey from a young medical student fascinated by Hans Selye’s work to becoming a foundational figure in modern neuroendocrinology, highlighting how his personal experiences, including his military service and clinical observations, shaped his unique perspective on the interaction between emotional states and physiological responses.

Assessing end-of-life care access in patients with terminal gynecologic cancer at a major urban institution

Assessing end-of-life care access in patients with terminal gynecologic cancer at a major urban institution

Hybrid Education in Remote Nursing Placements in Australia: A Descriptive Qualitative Study.

Rural and remote areas offer unique opportunities for undergraduate nurses. Extended placements boost work readiness, improve assessment skills, and increase likelihood of practicing in these areas post-registration. However, hybrid delivery of curriculum content in not well understood. Undergraduate Extended Nurse Placement Program (ENPP) and on campus students, and academics were recruited from a major tertiary institution to understand impact of hybrid delivery for nursing curriculum. Data were obtained from descriptive qualitative design and focus group interviews. A process of thematic analysis generated themes and findings. There were 12 participants: academics (n = 4), ENPP students (n = 7), and 1 on campus student. The main theme was "Bridging the Hybrid Gap," with two sub-themes: (1) separation, describes ENPP students emotional, experiential, and academic disconnect from on-campus students; and (2) adaptation, describes strategies used to adjust to hybrid learning. Technology has evolved and presents opportunities for nursing education. We must continue to enhance education design in the nursing curriculum context. [J Nurs Educ. 2024;63(11):755-763.].

Biomarkers and Alzheimer's disease: a bibliometric analysis.

The diagnosis and treatment of biomarkers in Alzheimer's disease has emerged as a prominent topic within Alzheimer's disease research. In this paper, we conducted a bibliometric analysis of data from a wide range of literature in this field to enhance the in-depth understanding of this area. The core collection of the Science Citation Index database (web of science) was used to search for relevant literature in the above fields from 1 January 2006 to 14 November 2022 and Citespace software was used to visualize and analyze the literature data. A total of 1,138 papers were included, of which the United States ranked first with 607 papers and China ranked 6th in the world with 84 papers. The value of mediational centrality is 0.49 in the United States and 0.05 in China. In terms of the number of articles published by the research authors, the Swedish scholar Blennow Kaj ranks first with 82 articles published, and the scholars who rank second and third are Zetterberg Henrik (78 articles) and Morris John C (64 articles), respectively; in terms of the mediational centrality, the American scholar Trojanowski John Q ranked first in the world with 0.1, and the second and third ranked scholars were Blennow Kaj (0.09) and Zetterberg Henrik (0.06) respectively. Scholar JACK CR ranked first with 377 citation frequency. The journal NEUROLOGY is ranked first with 943 citations. In recent years, global research in the field of biomarkers related to Alzheimer's disease has shown signs of softening, and the momentum of research has slightly diminished. However, this trend does not imply a decline in the quality of research. It is essential to enhance collaboration among countries, major research institutions, and scholars, with a particular emphasis on fostering international partnerships in the future.

The Impact of Financial Innovation on Environmental Protection:Literature Review and Case Study

This study explores the relationship between financial innovation and environmental protection, focusing on how financial innovation can contribute to sustainable development and ecological conservation. Through a comprehensive literature review, this paper identifies various forms of financial innovation, including green finance, socially responsible investing, and impact investing. These have emerged as significant tools in promoting environmental sustainability. The literature suggests that financial innovation plays a crucial role in directing capital towards environmentally friendly projects and companies, thereby reducing the funding of polluting industries. The implementation of green bonds, green banks, and other financial instruments has been instrumental in channeling investments towards renewable energy, clean technology, and other eco-friendly initiatives. These financial mechanisms not only encourage corporate responsibility but also stimulate innovation in clean technologies by providing necessary funding and risk management solutions.The Case study is presented to exemplify the practical application of financial innovation in environmental protection. The case focuses on the development and impact of a green bond issuance by a major financial institution, highlighting the positive environmental outcomes achieved through the financing of specific sustainable projects. The analysis reveals that such financial products have led to measurable reductions in greenhouse gas emissions and improvements in resource efficiency. By synthesizing theoretical insights and empirical evidence, this research contributes to a deeper understanding of the nuanced interplay between finance and environmental preservation, suggesting that financial innovation can be a powerful ally in the global effort toward ecological conservation and sustainable development.

Проблемы факультетов архитектуры строительных вузов Дальнего Востока РСФСР (1985–1991 гг.)

This article examines the challenges involved in the establishment and functioning of architecture faculties within construction universities in the Far East of the RSFSR during the period from 1985 to 1991. Based on an analysis of governmental programs from the era of perestroika, as well as an evaluation of the situation regarding construction development and personnel policies in the region, the author interprets the relevance of introducing the “Architecture” specialty into the educational curricula of construction universities in the Far East. By 1985, practically all major higher educational institutions in Khabarovsk Krai and Primorskii Krai had faculties dedicated to preparing qualified specialists for the construction sector, especially at the Far East Polytechnical Institute (FEPI) and the Khabarovsk Polytechnical Institute (KPI). However, issues regarding personnel in the field of architecture persisted. The political transition towards perestroika exacerbated these challenges, putting the functioning of the architectural specialty at risk. Up until 1990, the optimization of construction education occurred, which included the consolidation of educational programs and a reduction in the number of students accepted into these programs. Subsequent political and economic changes, reflecting the new realities in the country’s development, also resulted in ambiguous transformations within the educational structure aimed at training construction professionals. This article provides insights into how these dynamics impacted the education of architects and the effectiveness of architectural training during a time of significant societal change.

Migration agencies’ visual performance within the Border spectacle. The case of EU and Canadian institutions

As images of international mobility circulate quickly and widely through digital and social media, they form a fundamental part of the discursive formations around border policies and material migration practices. Through a multi-modal visual analysis of the Twitter images accompanying the post of the four major migration institutions in the EU and Canada, this article explores in a comparative perspective how their visual narratives interact with the broader migration narrative across the two contexts. The study findings show that EUAA, FRONTEX, CBSA, and IRCC participate in the border spectacle as leading actors, and their visual communication while allows them to reinforce some of their respective migration governance key messages and display their multiple organizational identities at the same time enables the concealment of some of the critical themes of the EU and Canada migration governance.

Derivation of marine water quality criteria for copper based on artificial neural network model

The water chemical effects of copper have been a focus in the study of water quality criteria (WQC). Currently, multiple regression models are commonly used to quantitatively describe the impact of environmental factors on Cu toxicity in WQC studies. However, the influence of species-specific effects may consequently lead to poor prediction results of the regression models in practical application. For this issue, a backpropagation neural network (BPNN) model optimized using a genetic algorithm was developed in this study. The results showed when pooled data of given taxonomic groups were used, the BPNN mixed models had higher Adj.R2 for five out of seven groups in the predicted toxicity values compared to the MNLR mixed models. When using species-specific models, the BPNN model still showed higher predictive performance. Further comparison of the two models for the species M. galloprovincialis revealed that, in addition to the good predictive performance of the BPNN models, the pre-set species codes of different species in the taxonomic group for the BPNN mixed model also reduced the impact of species-specific effects among species. Finally, the WQCs under different water quality parameter ranges were obtained using predicted toxicity values from mixed BPNN and MNLR models. The short-term WQC range for common water quality parameters (salinity: 25–30 ppt, DOC: 0.5–2.5 mg/L) obtained from the BPNN mixed model in natural marine environments was 1.6–4.41 μg/L, which aligns with guidance values provided by major global institutions, demonstrating the feasibility of applying the BPNN mixed model to WQC derivation. This study aims to provide valuable references for future research on WQC.

Black Carbon in Climate Studies: A Bibliometric Analysis of Research Trends and Topics

Black carbon is a short-lived climate warming agent and serves as a crucial factor influencing the climate. Numerous models, observations, and laboratory studies have been conducted to quantify black carbon’s direct or indirect impacts on the climate. Here, we applied bibliometric analysis to identify research trends and key topics on black carbon in the climate field. Based on the Web of Science (WOS) Core Collection database, a total of 4903 documents spanning the period from 2000 to 2023 were retrieved and screened, focusing on the topic of black carbon in the climate field, resulting in the Black-Carbon Climate Local (BCL) dataset. Our study examines the influence and trends of major countries, institutions, and authors in this field. The results show that China and the United States hold leading positions in terms of the number of publications. Based on keyword networks, the BCL dataset is segmented into six distinct research directions, and representative keywords of each direction include biomass burning, radiative forcing, air pollution, aerosol optical depth, optical properties, and biochar. This study helps to identify the current research status and trends of black carbon in the climate, highlighting main research directions and emerging topics.

Improving the Quality of Individual-Level Web Tracking: Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution

This article evaluates the quality of data collection in individual-level desktop web tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level data and their disregard for the variety of devices and long-tail consumption patterns as well as transparency and privacy issues. To overcome some of these problems, the article introduces a new academic web tracking solution, WebTrack, an open-source tracking tool maintained by a major European research institution, GESIS. The design logic, the interfaces, and the backend requirements for WebTrack are discussed, followed by a detailed examination of the strengths and weaknesses of the tool. Finally, using data from 1,185 participants, the article empirically illustrates how an improvement in data collection through WebTrack leads to innovative shifts in the use of tracking data. As WebTrack allows for collecting the content people are exposed to beyond the classical news platforms, it can greatly improve the detection of politics-related information consumption in tracking data through automated content analysis compared to traditional approaches that rely on the source-level analysis.