2P3FL:A Novel Approach for Privacy Preserving in Financial Sectors Using Flower Federated Learning

The increasing data pool in finance sectors forces machine learning(ML)to step into new complications.Banking data has significant financial implications and is confidential.Combining users data from several organizations for various banking services may result in various intrusions and privacy leakages.As a result,this study employs federated learning(FL)using a flower paradigm to preserve each organization’s privacy while collaborating to build a robust shared global model.However,diverse data distributions in the collaborative training process might result in inadequate model learning and a lack of privacy.To address this issue,the present paper proposes the imple-mentation of Federated Averaging(FedAvg)and Federated Proximal(FedProx)methods in the flower framework,which take advantage of the data locality while training and guaranteeing global convergence.Resultantly improves the privacy of the local models.This analysis used the credit card and Canadian Institute for Cybersecurity Intrusion Detection Evaluation(CICIDS)datasets.Precision,recall,and accuracy as performance indicators to show the efficacy of the proposed strategy using FedAvg and FedProx.The experimental findings suggest that the proposed approach helps to safely use banking data from diverse sources to enhance customer banking services by obtaining accuracy of 99.55%and 83.72%for FedAvg and 99.57%,and 84.63%for FedProx.

Deep Learning for Financial Time Series Prediction:A State-of-the-Art Review of Standalone and HybridModels

Financial time series prediction,whether for classification or regression,has been a heated research topic over the last decade.While traditional machine learning algorithms have experienced mediocre results,deep learning has largely contributed to the elevation of the prediction performance.Currently,the most up-to-date review of advanced machine learning techniques for financial time series prediction is still lacking,making it challenging for finance domain experts and relevant practitioners to determine which model potentially performs better,what techniques and components are involved,and how themodel can be designed and implemented.This review article provides an overview of techniques,components and frameworks for financial time series prediction,with an emphasis on state-of-the-art deep learning models in the literature from2015 to 2023,including standalonemodels like convolutional neural networks(CNN)that are capable of extracting spatial dependencies within data,and long short-term memory(LSTM)that is designed for handling temporal dependencies;and hybrid models integrating CNN,LSTM,attention mechanism(AM)and other techniques.For illustration and comparison purposes,models proposed in recent studies are mapped to relevant elements of a generalized framework comprised of input,output,feature extraction,prediction,and related processes.Among the state-of-the-artmodels,hybrid models like CNNLSTMand CNN-LSTM-AM in general have been reported superior in performance to stand-alone models like the CNN-only model.Some remaining challenges have been discussed,including non-friendliness for finance domain experts,delayed prediction,domain knowledge negligence,lack of standards,and inability of real-time and highfrequency predictions.The principal contributions of this paper are to provide a one-stop guide for both academia and industry to review,compare and summarize technologies and recent advances in this area,to facilitate smooth and informed implementation,and to highlight future research directions.

Robotics in total knee replacement:Current use and future implications

Robotic total knee replacement(TKR)surgery has evolved over the years with the aim of improving the overall 80% satisfaction rate associated with TKR surgery.Proponents claim higher precision in executing the pre-operative plan which results in improved alignment and possibly better clinical outcomes.Opponents suggest longer operative times with potentially higher complications and no superiority in clinical outcomes alongside increased costs.This editorial will summarize where we currently stand and the future implications of using robotics in knee replacement surgery.

A Brief Introduction to Sichuan Academy of Social Sciences

Sichuan Academy of Social Sciences is the think tank for the People’s Government of Sichuan Province and the Sichuan Provincial Committee of the CPC,with full financial backing of the Party and the government.The Academy consists of 16 institutes,1 graduate school,10 departments of scientific research management services.

Assessment of Barriers and Challenges to the Screening and Linkages of Non-Communicable Diseases by Community Health Volunteers in Nyeri County, Kenya

Non-communicable diseases (NCDs) are a significant global health challenge, contributing to 50% of worldwide morbidity and 63% of mortality. The burden is particularly substantial in low—and middle-income countries (LMICs), where 80% of NCD-related deaths occur. A quasi-experimental study addressed this challenge from May 2022 to March 2023. This study utilized a non-equivalent pre-and post-test design, with 300 participants in the quantitative and 70 in the qualitative. The study employed multistage cluster and random sampling to select ten community units, resulting in 150 community health volunteers (CHVs) in the control unit and 150 in the intervention group. Data collection was facilitated through the KOBO app. Qualitative data analysis involved six homogeneous focus group discussions (FGDs) and ten key informant interviews (KIIs), audio-recorded, transcribed, and analyzed using N-Vivo 12. Despite efforts to implement screening programs and improve linkages to care, significant barriers persist. This article reviews these barriers, drawing on current literature and empirical evidence. Key obstacles identified include limited awareness, inadequate healthcare infrastructure, cultural beliefs, financial constraints, fragmented healthcare systems, and challenges linking individuals to appropriate care services. The article explores strategies to overcome these barriers, emphasizing the importance of collaborative approaches involving stakeholders at various levels. Addressing these challenges aims to strengthen NCD screening and linkages to care, ultimately improving health outcomes for populations globally. Several recommendations emerge from the study’s findings and literature review. Raising awareness about NCDs and preventive measures is crucial and can be achieved through targeted health education campaigns and community outreach programs. Addressing healthcare infrastructure deficiencies, such as inadequate facilities and workforce shortages, is essential to ensure access to quality care. Cultural beliefs and practices also play a significant role in shaping health-seeking behavior. Engaging with local communities and incorporating cultural sensitivity into healthcare delivery can help bridge the gap between traditional beliefs and modern healthcare practices. Financial constraints pose a significant barrier to healthcare services, particularly in LMICs. Innovative financing mechanisms, such as health insurance schemes or subsidies, can help alleviate this burden and improve access to care. Furthermore, the fragmented nature of healthcare systems can hinder effective NCD management. Enhancing coordination and integration between primary care providers, specialists, and community health workers is essential to ensure seamless care delivery and patient follow-up. Finally, strengthening linkages between screening programs and care services is critical for the timely diagnosis and management of NCDs. This requires establishing robust referral systems and ensuring continuity of care for patients throughout their healthcare journey. In conclusion, addressing the multifaceted barriers to NCD screening and care linkage is essential for improving health outcomes globally. By implementing targeted interventions and fostering collaboration among stakeholders, progress can be made towards reducing the burden of NCDs and promoting population health.

A“Going Concern”and the Need to Fully Integrate Economics in the Business School Curriculum

In response to the recommendation by the American Assembly of Collegiate Schools of Business(AACSB,2002),which urged business schools to embark on interdisciplinary programs to facilitate boundary-spanning teaching and learning,many colleges have conducted one form of curriculum integration or the other.Many of these team-taught course integrations,however,concentrate on core business courses without reaching out to related courses in other disciplines.Moreover,due to some factors,the informational contents of management disclosures in annual reports and audit unqualified opinions may not align with the future viability of an enterprise.Using a“going concern concept”,this paper demonstrates how the addition of economics in business school curriculum integration could produce well-rounded business graduates.Economics concepts could unambiguously support the tests that cast doubts on firms’ability to continue operations.

The Economic Demands on the Method of Founding a Passive Brick House on Foamed Glass Granulate

The cost of acquisition of a passive house is a little higher than that of a conventional house.Proper design of a passive house should include not only thermal protection and stability of the construction,but it must also take into account the price demands on each of the proposed structures and solution of details.The paper deals with the financial comparison of the traditional method of a foundation on the foundation strips of plain concrete and the modern method of founding a passive house as brick construction on the reinforced concrete slab base with a compact subsoil layer of thermal insulation in the form of granules of foamed glass.

Impact of payment source, referral site, and place of residence on outcomes after allogeneic transplantation in Mexico

BACKGROUND The impact of social determinants of health in allogeneic transplant recipients in low-and middle-income countries is poorly described.This observational study analyzes the impact of place of residence,referring institution,and transplant cost coverage(out-of-pocket vs government-funded vs private insurance)on outcomes after allogeneic hematopoietic stem cell transplantation(alloHSCT)in two of Mexico's largest public and private institutions.AIM To evaluate the impact of social determinants of health and their relationship with outcomes among allogeneic transplant recipients in Mexico.METHODS In this retrospective cohort study,we included adolescents and adults≥16 years who received a matched sibling or haploidentical transplant from 2015-2022.Participants were selected without regard to their diagnosis and were sourced from both a private clinic and a public University Hospital in Mexico.Three payment groups were compared:Out-of-pocket(OOP),private insurance,and a federal Universal healthcare program“Seguro Popular”.Outcomes were compared between referred and institution-diagnosed patients,and between residents of Nuevo Leon and out-of-state.Primary outcomes included overall survival(OS),categorized by residence,referral,and payment source.Secondary outcomes encompassed early mortality,event-free-survival,graft-versus-host-relapse-free survival,and non-relapse-mortality(NRM).Statistical analyses employed appropriate tests,Kaplan-Meier method,and Cox proportional hazard regression modeling.Statistical software included SPSS and R with tidycmprsk library.RESULTS Our primary outcome was overall survival.We included 287 patients,n=164 who lived out of state(57.1%),and n=129 referred from another institution(44.9%).The most frequent payment source was OOP(n=139,48.4%),followed by private insurance(n=75,26.1%)and universal coverage(n=73,25.4%).No differences in OS,event-free-survival,NRM,or graft-versus-host-relapse-free survival were observed for patients diagnosed locally vs in another institution,nor patients who lived in-state vs out-of-state.Patients who covered transplant costs through private insurance had the best outcomes with improved OS(median not reached)and 2-year cumulative incidence of NRM of 14%than patients who covered costs OOP(Median OS and 2-year NRM of 32%)or through a universal healthcare program active during the study period(OS and 2-year NRM of 19%)(P=0.024 and P=0.002,respectively).In a multivariate analysis,payment source and disease risk index were the only factors associated with overall survival.CONCLUSION In this Latin-American multicenter study,the site of residence or referral for alloHSCT did not impact outcomes.However,access to healthcare coverage for alloHSCT was associated with improved OS and reduced NRM.

A Deep Dive into the Trajectory and Transformation of Fintech in Colombia Through the Case of PTM Colombia-A Secondary Publication

This research focuses on analyzing and understanding the evolution and impact of fintech companies in Colombia,using PTM Colombia as a case study,a company that has undergone a significant transformation from its beginnings as a provider of physical recharges to its current position.as a comprehensive platform for digital financial services.The current research uses a qualitative descriptive approach and emphasizes understanding the perceptions and experiences in the field of Fintech in Colombia,particularly in the case of PTM Colombia.The study revealed that adaptability and customer orientation have been fundamental in the evolution of PTM,allowing the company to expand its range of services by actively listening to the needs of its users and adjusting its strategies accordingly.In addition,an accelerated and diversified growth of Fintech will be observed in Colombia,particularly in sectors such as credit and payments,driven by a constantly advancing technological environment and a regulatory framework that,although it presents challenges,also offers opportunities for financial innovation.This growth has impacted the traditional banking sector,which,instead of being replaced by Fintech,is finding new forms of collaboration and coexistence that benefit both parties and,above all,the end consumer.In conclusion,the study highlights how Fintech in Colombia,represented by cases such as PTM,is redefining the financial landscape through the adoption of advanced technologies,collaboration with traditional banking,and strong customer orientation.

Research on the Optimization of Enterprise Financial Management under the Financial Sharing Model

With the advancement of globalization and information technology,the financial sharing mode has gradually emerged as a crucial means for enterprises to optimize their financial management.Particularly within the context of economic globalization,informatization,and digital transformation,enterprises find themselves navigating a rapidly evolving market environment by intensifying competition.To enhance efficiency and competitiveness,many enterprises have embraced the financial sharing model to streamline financial management processes,curtail costs,and bolster the execution of corporate strategies.This article aims to dissect the definition and essence of the financial sharing model and its significance in the realm of enterprise financial management.Drawing upon this analysis and aligning with the needs of enterprise financial management,the article proposes ideas for optimizing management practices,aspiring to foster reform and innovation in enterprise financial management while enhancing its level of financial management and ability to respond to financial risks.This contribution seeks to provide valuable insights for practitioners in the field.

Organizational Resilience:A Key Factor for Business Survival and Value Creation-A Secondary Publication

The lodging and restaurant services sector in the city of Pereira presents complex situations generated by the turbulence of the new business game.Companies that survive the new challenges and those recently established require strategies that allow them to extend their life expectancy.Therefore,the study aims to identify how to apply resilience and management disciplines in a tool that allows companies in the sector under study to sufficiently face situations of high complexity.Achieving this objective requires knowing the causes of the short life span of many companies,identifying how surviving companies articulate management disciplines with their strategic objectives,and analyzing the possibility of formulating an organizational model based on resilience as a value.The methodology applied was mixed.The sample was simply random;23 companies were analyzed through structured interviews and participant observation.As the most significant results:the deficient application of management disciplines was identified as an important cause of company closures;the level of acceptance to implement the practice of resilience and management disciplines in companies;and the way to apply resilience and management disciplines in an instrument that builds value.It was concluded that an organizational model should be formulated where resilience and management disciplines are applied to face times of crisis.

Exploration of Financial Management Curriculum Reform in Vocational College

As the core course of finance and accounting major,the study of financial management knowledge plays a positive role in promoting students’understanding of the whole financial work and enriching financial knowledge.This paper analyzes the necessity of financial management curriculum reform,from the design ideas,teaching content,teaching mode,and teaching methods of several aspects of vocational college financial management curriculum reform work carried on the preliminary thinking,hoping to improve the teaching quality of this course will be helpful.

The Logic of Digital Finance in the Age of Digital Economy

This paper explores the development logic,trends,and challenges of digital finance in the era of the digital economy.As a crucial component of the digital economy,digital finance has completely transformed the traditional financial services model through factors such as technological innovation,data intelligence,and personalized user experiences,paving the way for new business models and market opportunities.However,the rapid development of digital finance also faces challenges such as competition,security,and regulation.This paper emphasizes the importance of finding a balance between innovation and security in the development of digital finance and discusses the potential of digital finance in promoting financial inclusion and sustainable development.Through comprehensive analysis,this paper aims to provide valuable insights for academic researchers and industry practitioners,promoting the healthy development of digital finance.

Innovative Strategies for Financial Investment Management Strategies of Enterprises in the New Era

With the in-depth development of economic globalization and the continuous emergence of new technologies,the importance of enterprise financial investment management strategy is becoming more and more prominent.The traditional financial investment management strategy can no longer meet the needs of enterprises in the new era and needs to be innovated with the times.For enterprises,the effectiveness and scientificity of financial investment management strategy will directly affect the competitiveness and long-term development of enterprises.Therefore,this study chooses the innovation based on the financial investment management strategy of enterprises in the new era as the research theme,aiming at exploring the innovative strategy to adapt to the needs of enterprises in the new era.

Infinite Loop?What Is Behind the Ongoing Turmoil in the Banking Sector?

The war in Ukraine is unfortunately not over,to add insult to injury,Silicon Valley Bank collapses and Credit Suisse acquired by UBS under the Swiss emergency legislation.The merger of Credit Suisse with UBS,Switzerland’s biggest bank,has also raised concerns about the proliferation of more institutions deemed“too big to fail”.Through the study of four financial crises in the past 100 years,this paper believes that behind this potential financial crisis is still the real estate bubble,but the significant problems in the United States are the most worrying.Post-financial crisis recessions are costlier and last longer than normal recessions.When credit booms are superimposed with asset price bubbles,financial crises are highly likely and economic recovery will be slower.In this paper,relative data and regression model are used to analyze the causes of the crisis;further this paper discusses the reasons behind the financial crisis and related conjectures and gives relevant development speculations.

Financial Calculation Problems and Countermeasure Analysis of Large-Scale Engineering Construction Projects

The financial aspects of large-scale engineering construction projects profoundly influence their success.Strengthening cost control and establishing a scientific financial evaluation system can enhance the project’s economic benefits,minimize unnecessary costs,and provide decision-makers with a robust financial foundation.Additionally,implementing an effective cash flow control mechanism and conducting a comprehensive assessment of potential project risks can ensure financial stability and mitigate the risk of fund shortages.Developing a practical and feasible fundraising plan,along with stringent fund management practices,can prevent fund wastage and optimize fund utilization efficiency.These measures not only facilitate smooth project progression and improve project management efficiency but also enhance the project’s economic and social outcomes.

上海市耐多药结核病患者经济负担研究

目的基于上海市近年结核病诊疗费用减免政策,探索耐多药结核病(multidrug resistant tuberculosis,MDR-TB)患者疾病经济负担及其影响因素,为优化MDR-TB诊疗费用减免政策和综合管理模式提供依据。方法收集上海市2017—2019年确诊MDR-TB患者情况和诊疗费用减免情况数据,开展针对疾病经济负担的问卷调查,建立涵盖患者人口和社会经济情况、临床特征、疾病经济负担和诊疗费用减免情况数据库,明确患者疾病经济负担和灾难性卫生支出(catastrophic health expenditure)发生情况。以多元线性回归法分析可能影响患者疾病经济负担的因素,以多因素logistic回归法分析不同比例下灾难性卫生支出发生的影响因素。结果196例纳入研究分析的MDR-TB患者平均年龄为(44±16)岁,男性139例(占70.9%),上海户籍占46.4%,49%的患者为家庭主要劳动力。治疗期间,患者自付诊疗费用中位数为4.0(四分位数区间2.0~6.5)万元。113例患者获得减免诊疗,减免费用中位数为2.6(四分位数区间1.3~4.9)万元。若自付费用占家庭年收入的40%及以上,有47.8%的患者会发生灾难性支出;若不考虑减免政策,有59.8%的患者发生灾难性卫生支出。上海户籍(OR=0.3,95%CI为0.1~1.0)、更低家庭收入水平(P_(trend)=0.002)、医疗保险类型[(农村合作医疗保险/外来人口综合保险(OR=13.3,95%CI为1.0~171.2),无医疗保险(OR=17.5,95%CI为2.7~113.0)]和既往结核病治疗史(OR=3.3,95%CI为1.1~10.0)可能影响灾难性卫生支出的发生。结论上海市MDR-TB患者的自付诊疗费用较高。医疗保障力度较小和家庭经济情况不佳的患者更易发生高额自付费用,导致灾难性卫生支出。上海市MDR-TB诊疗费用减免政策有效降低了患者的经济负担。

Exploring the moderating role of financial development in environmental Kuznets curve for South Africa:fresh evidence from the novel dynamic ARDL simulations approach

The extant literature has produced mixed evidence on the relationship between finan-cial development and ecological sustainability.This work addresses this conundrum by investigating financial development’s direct and indirect consequences on ecologi-cal quality utilizing the environmental Kuznets curve(EKC)methodological approach.Our empirical analysis is based on the novel dynamic autoregressive distributed lag simulations approach for South Africa between 1960 and 2020.The results,which used five distinct financial development measures,demonstrate that financial develop-ment boosts ecological integrity and environmental sustainability over the long and short terms.In the instance of South Africa,we additionally confirm the validity of the EKC theory.More importantly,the outcomes of the indirect channels demonstrate that financial development increases energy usage’s role in causing pollution while attenuating the detrimental impacts of economic growth,trade openness,and foreign direct investment on ecological quality.Moreover,the presence of an inadequate financial system is a requirement for the basis of the pollution haven hypothesis(PHH),which we examine using trade openness and foreign direct investment variables.PHH for both of these variables disappears when financial development crosses specified thresholds.Finally,industrial value addition destroys ecological quality while tech-nological innovation enhances it.This research provides some crucial policy recom-mendations and fresh perspectives for South Africa as it develops national initiatives to support ecological sustainability and reach its net zero emissions goal.

Feature Selection with Optimal Variational Auto Encoder for Financial Crisis Prediction

Financial crisis prediction(FCP)received significant attention in the financial sector for decision-making.Proper forecasting of the number of firms possible to fail is important to determine the growth index and strength of a nation’s economy.Conventionally,numerous approaches have been developed in the design of accurate FCP processes.At the same time,classifier efficacy and predictive accuracy are inadequate for real-time applications.In addition,several established techniques carry out well to any of the specific datasets but are not adjustable to distinct datasets.Thus,there is a necessity for developing an effectual prediction technique for optimum classifier performance and adjustable to various datasets.This paper presents a novel multi-vs.optimization(MVO)based feature selection(FS)with an optimal variational auto encoder(OVAE)model for FCP.The proposed multi-vs.optimization based feature selection with optimal variational auto encoder(MVOFS-OVAE)model mainly aims to accomplish forecasting the financial crisis.For achieving this,the proposed MVOFS-OVAE model primarily pre-processes the financial data using min-max normalization.In addition,the MVOFS-OVAE model designs a feature subset selection process using the MVOFS approach.Followed by,the variational auto encoder(VAE)model is applied for the categorization of financial data into financial crisis or non-financial crisis.Finally,the differential evolution(DE)algorithm is utilized for the parameter tuning of the VAE model.A series of simulations on the benchmark dataset reported the betterment of the MVOFS-OVAE approach over the recent state of art approaches.

我国公立医院财政拨款收入的结构变动特征分析

目的 分析公立医院财政拨款收入的结构变动特征。方法 基于2011—2020年将考察时间段调整为2010—2019年《中国卫生健康统计年鉴》的数据,应用结构变动度分析方法。结果 2010—2019年,全国公立医院的财政拨款收入规模呈现逐年上升的趋势。我国不同级别公立医院的财政拨款结构变动贡献率从大到小依次为三级医院(58.43%)、二级医院(39.26%)、基层医疗卫生机构(2.31%)。各类公立医院的贡献率从大到小依次为精神病医院(40.25%)、综合医院(17.13%)、传染病医院(14.64%)、中医(民族)医院(7.85%)、儿童医院(6.00%)、妇产医院/妇幼保健院(5.35%)、其他专科医院(4.90%)、职业病防治院(3.88%)。结论 需要政府落实职责,在财政拨款安排中重视各类型、各级别公立医院的合理平衡,科学规划财政投入标准及支持力度,进一步推动分级诊疗制度,保证不同类型、级别医院的平稳运行。