Stochastic Binary Neural Networks for Qualitatively Robust Predictive Model Mapping

We consider qualitatively robust predictive mappings of stochastic environmental models, where protection against outlier data is incorporated. We utilize digital representations of the models and deploy stochastic binary neural networks that are pre-trained to produce such mappings. The pre-training is implemented by a back propagating supervised learning algorithm which converges almost surely to the probabilities induced by the environment, under general ergodicity conditions.

Novel Investigation of Stochastic Fractional Differential Equations Measles Model via the White Noise and Global Derivative Operator Depending on Mittag-Leffler Kernel

Because of the features involved with their varied kernels,differential operators relying on convolution formulations have been acknowledged as effective mathematical resources for modeling real-world issues.In this paper,we constructed a stochastic fractional framework of measles spreading mechanisms with dual medication immunization considering the exponential decay and Mittag-Leffler kernels.In this approach,the overall population was separated into five cohorts.Furthermore,the descriptive behavior of the system was investigated,including prerequisites for the positivity of solutions,invariant domain of the solution,presence and stability of equilibrium points,and sensitivity analysis.We included a stochastic element in every cohort and employed linear growth and Lipschitz criteria to show the existence and uniqueness of solutions.Several numerical simulations for various fractional orders and randomization intensities are illustrated.

Unveiling the challenges encountered by newly graduated nurses during night shifts:A descriptive qualitative study

Objectives:Newly graduated nurses commence night shifts during a phase of heightened vulnerability to reality shock,exacerbating the challenges faced by these graduates.Therefore,this study aimed to identify the challenges experienced by newly graduated nurses when undertaking night shifts in order to help identify a strategy for supporting their adaptation to these shifts.Methods:Semi-structured personal interviews were used to collect data.Fifteen newly graduated nurses were selected to participate in the study by purposive sampling method from November 2021 to March 2022 in one of four general hospitals situated in the southwestern region of Japan.Semi-structured interviews were analyzed by using thematic analysis.Results:The analysis revealedfive central themes and nine subthemes:challenges in task efficiency(task organization challenges,challenges in time-constrained task performance),challenges in responding to patients’changing conditions(challenges in responding to patients’irregular conditions,challenges in responding to nighttime changes in patients’behaviors),challenges in independent practice(challenges in engaging in independent nursing practice,challenges in dealing with unexpected events),challenges in establishing collaborative relationships(challenges in working closely with other staff,challenges in establishing collaborative relationships during night shifts with limited resources),challenges in adapting to shift work(challenges in managing physical conditions for shift work).Conclusions:Newly graduated nurses often encounter challenges in performing their tasks during the transition period.When working night shifts,they face additional hurdles unique to nocturnal duties.Thefindings underscore the necessity for these graduates to develop night shift-specific readiness to effectively navigate the demands inherent in such work schedules.

Qualitative exploration of home life experiences and care needs among elderly patients with temporary intestinal stomas

BACKGROUND This study employed a phenomenological research approach within qualitative research to explore the challenges encountered by elderly individuals with temporary colostomies in managing their daily lives and care needs.Protecting the anus surgery combined with temporary colostomy has emerged as a prevalent treatment modality for low rectal cancer.However,the ileostomy is susceptible to peri-stoma skin complications,as well as fluid,electrolyte,and nutritional imbalances,posing challenges to effective management.The successful selfmanagement of patients is intricately linked to their adjustment to temporary colostomy;nonetheless,there remains a dearth of research examining the factors influencing self-care among temporary colostomy patients and the obstacles they confront.AIM To investigate the lived experiences,perceptions,and care requirements of temporary colostomy patients within their home environment,with the ultimate goal of formulating a standardized management protocol.METHODS Over the period of June to August 2023,a purposive sampling technique was utilized to select 12 patients with temporary intestinal stomas from a tertiary hospital in Shanghai,China.Employing a phenomenological research approach,a semi-structured interview guide was developed,and qualitative interviews were conducted using in-depth interview techniques.The acquired data underwent coding,analysis,organization,and summarization following Colaizzi’s seven-step method.RESULTS The findings of this study revealed that the experiences and needs of patients with temporary intestinal stomas can be delineated into four principal themes:Firstly,Temporary colostomy patients bear various burdens and concerns about the uncertainty of disease progression;secondly,patients exhibit limited self-care capabilities and face information deficits,resulting in heightened reliance on healthcare professionals;thirdly,patients demonstrate the potential for internal motivation through proactive self-adjustment;and finally,patients express a significant need for emotional and social support.CONCLUSION Home-living patients with temporary intestinal stomas confront multifaceted challenges encompassing burdens,inadequate self-care abilities,informational deficits,and emotional needs.Identifying factors influencing patients’self-care at home and proposing strategies to mitigate barriers can serve as a foundational framework for developing and implementing nursing interventions tailored to the needs of patients with temporary intestinal stomas.

Perceptions and factors influencing exercise interventions in elderly patients with debilitating spinal surgery and healthcare professionals:A qualitative study

BACKGROUND Older spine surgery patients have a high incidence of debilitation,which can be managed with certain exercises.AIM To investigate the current status and influencing factors related to the knowledge of exercise intervention among patients and professionals.METHODS Descriptive research methods were used to classify and summarize patients and professionals’perceptions and factors affecting exercise interventions.Data were analysed using the Colaizzi seven-step analysis method to distill and refine themes.RESULTS A total of 7 themes were identified:(1)The current status of patients'exercise is unsatisfactory;(2)patients'health literacy is low,coupled with a lack of social and family support;(3)there are numerous challenges with systematic exercise interventions;(4)healthcare professionals acknowledge the importance and need for exercise interventions;(5)there's a pronounced willingness among patients to participate in exercise intervention programs;(6)healthcare professionals believe that exercise interventions are beneficial;and(7)participants offered invaluable insights and suggestions on perioperative exercise during spinal surgery.CONCLUSION To investigate the current status and influencing factors related to the knowledge of exercise intervention among patients and the related healthcare professionals to provide a reference for the construction of exercise management programs for these patients.

Qualitative analysis of aromatic compounds via 1D TOCSY techniques

The aromatic compounds,including o-xylene,m-xylene,p-xylene,and ethylbenzene,primarily originate from the catalytic reforming of crude oil,and have a wide variety of applications.However,because of similar physical and chemical properties,these compounds are difficult to be identified by gas chromatography(GC)without standard samples.With the development of modern nuclear magnetic resonance(NMR)techniques,NMR has emerged as a powerful and efficient tool for the rapid analysis of complex and crude mixtures without purification.In this study,the parameters of one-dimensional(1D)total correlation spectroscopy(TOCSY)NMR techniques,including 1D selective gradient TOCSY and 1D chemicalshift-selective filtration(CSSF)with TOCSY,were optimized to obtain comprehensive molecular structure information.The results indicate that the overlapped signals in NMR spectra of nonpolar aromatic compounds(including o-xylene,m-xylene,p-xylene and ethylbenzene),polar aromatic compounds(benzyl alcohol,benzaldehyde,benzoic acid),and aromatic compounds with additional conjugated bonds(styrene)can be resolved in 1D TOCSY.More importantly,full molecular structures can be clearly distinguished by setting appropriate mixing time in 1D TOCSY.This approach simplifies the NMR spectra,provides structural information of entire molecules,and can be applied for the analysis of other structural isomers.

Facilitating and hindering factors of community nurses'emergency and critical care treatment abilities:A qualitative study

BACKGROUND This study adopts a descriptive phenomenological approach to investigate the facilitators and barriers of community nurses'abilities in managing critical and emergency conditions.With the transition of healthcare systems to the community,the evolution of nursing practices,and the attention from policies and practices,community nurses play a crucial role in the management of critical and emergency conditions.However,there is still a lack of comprehensive understanding regarding the factors that promote or hinder their capabilities in this area.AIM To understand the facilitators and barriers of community nurses in managing critical and emergency conditions,exploring the fundamental reasons and driving forces influencing their treatment capabilities.METHODS This study utilized the destination sampling method between May 2023 and July 2023.It employed a descriptive phenomenological approach within qualitative research methodologies.Through objective sampling,17 community nurses from 7 communities in Changning District,Shanghai,were selected as the study subjects.Semi-structured interviews were conducted to gather data,which were subsequently organized and analyzed using Colaizzi's seven-step analysis method,leading to the extraction of final themes.RESULTS The barrier factors identified from the interviews encompassed three topics:resource allocation,professional factors,and personal literacy.The facilitators comprised three themes:professionalism,management attention,and training and continuing education.We identified that the root causes of the barriers included the lack of practical treatment experience among community nurses,insufficient awareness of self-directed learning,and limited knowledge and technical proficiency.The professional quality of community nurses and management attention serve as motivation for them to enhance their treatment abilities.CONCLUSION To enhance the capability of community nurses in treating acute and critical patients,it is recommended to bolster training specifically tailored to acute and critical care,raise awareness of first aid practices,and elevate knowledge and skill levels.

Nurse anesthetists’perceptions and experiences of managing emergence delirium:A qualitative study

BACKGROUND This study employs a descriptive phenomenological approach to investigate the challenges anesthesia nurses face in managing emergence delirium(ED),a common and complex postoperative complication in the post-anesthesia care unit.The role of nurses in managing ED is critical,yet research on their understanding and management strategies for ED is lacking.AIM To investigate anesthetic nurses’cognition and management experiences of ED in hopes of developing a standardized management protocol.METHODS This study employed a descriptive phenomenological approach from qualitative research methodologies.Purposeful sampling was utilized to select 12 anesthetic nurses from a tertiary hospital in Shanghai as research subjects.Semi-structured interviews were conducted,and the data were organized and analyzed using Colaizzi’s seven-step analysis method,from which the final themes were extracted.RESULTS After analyzing the interview content,four main themes and eight subthemes were distilled:Inefficient cognition hinders the identification of ED(conceptual ambiguity,empirical identification),managing diversity and challenges(patientcentered safe care,low level of medical-nursing collaboration),work responsibilities and pressure coexist(heavy work responsibilities,occupational risks and stress),demand for high-quality management(expecting the construction of predictive assessment tools and prevention strategies,and pursuing standardized management processes to enhance management effectiveness).CONCLUSION Nursing managers should prioritize the needs and suggestions of nurses in order to enhance their nursing capabilities and provide guidance for standardized management processes.

Bowel preparation experiences and needs before follow-up colonoscopy in older adult postoperative colorectal cancer patients: A qualitative study

BACKGROUND The bowel preparation process prior to colonoscopy determines the quality of the bowel preparation,which in turn affects the quality of the colonoscopy.Colono-scopy is an essential procedure for postoperative follow-up monitoring of colorec-tal cancer(CRC)patients.Previous studies have shown that advanced age and a history of colorectal resection are both risk factors for inadequate bowel prepara-tion.However,little attention has been paid to the bowel preparation experiences and needs of predominantly older adult postoperative CRC patients.AIM To explore the experiences and needs of older adult postoperative CRC patients during bowel preparation for follow-up colonoscopy.METHODS Fifteen older adult postoperative CRC patients who underwent follow-up colonoscopy at a tertiary hospital in Shanghai were selected using purposive sampling from August 2023 to November 2023.The phenomenological method in qualitative research was employed to construct an interview outline and conduct semi-structured interviews with the patients.Colaizzi's seven-step analysis was utilized to organize,code,categorize,summarize,and verify the interview data.RESULTS The results of this study were summarized into four themes and eight sub-themes:(1)Inadequate knowledge about bowel preparation;(2)Decreased physiological comfort during bowel preparation(gastrointestinal discomfort and sleep deprivation caused by bowel cleansing agents,and hunger caused by dietary restrictions);(3)Psychological changes during different stages of bowel preparation(pre-preparation:Fear and resistance due to previous experiences;during preparation:Irritation and helplessness caused by taking bowel cleansing agents,and post-preparation:Anxiety and worry while waiting for the colonoscopy);and(4)Needs related to bowel preparation(detailed instructions from healthcare professionals;more ideal bowel cleansing agents;and shortened waiting times for colonoscopy).CONCLUSION Older adult postoperative CRC patients'knowledge of bowel preparation is not adequate,and they may encounter numerous difficulties and challenges during the process.Healthcare professionals should place great emphasis on providing instruction for their bowel preparation.

Green transformation paths of resource-based cities in China from the configuration perspective

Green transformation is an unavoidable choice for resource-based cities(RBCs)that face resource depletion and environmental pollution.Existing research has focused primarily on specific RBCs,making it challenging to apply green transformation strategies universally across cities.The fuzzy set qualitative comparative analysis(fsQCA)is a combination of qualitative and quantitative analyses that can handle multiple concurrent causality problems and determine how different conditions combine into configurations and generate an outcome.Thus,to address this gap,in this study,we established a research framework for green transformation and utilized the fsQCA to examine the configurations of 113 RBCs in China.By incorporating the element of time,this study explored the dynamic evolution of solutions in 2013,2016,and 2019.The main findings indicate that individual elements do not constitute the necessary conditions for improving the green transformation efficiency(GTE),and the systematic combination of multiple conditions is an effective path for realizing the improvement of the GTE in RBCs.Green transformation paths of RBCs exhibit the same destination through different paths.Additionally,the combination of system environment elements and system structure elements is both complementary and alternative.Differences in RBCs have led to various factor combinations and development paths,but there are some similarities in the key elements of the factor combinations at different stages.Economic environment,government support,and technological innovation are key factors that universally enhance the GTE in RBCs.These insights can assist city managers in formulating policies to drive green transformation and contribute to a better theoretical understanding of green transformation paths in RBCs.

Surgeon Perspectives on Anastomotic Leaks and FluidAI’s StreamTM Platform: Integrating Qualitative Insights for Technological Innovation

Purpose: This article investigates the critical importance of integrating surgeons’ direct input into the development of innovative technologies that address gaps in surgical care, including those aimed at reducing anastomotic leaks (AL), a major complication in gastrointestinal surgery. While traditional quantitative research methods are prevalent, they often overlook the invaluable insights of the surgeons who manage these complications firsthand. Subjects and Methods: This study employs a qualitative approach, utilizing semi-structured interviews with 40 surgeons from various specialties, including general, bariatric, colorectal, trauma, hepato-biliary, and thoracic surgery. The interviews were designed to probe the needs of surgeons, challenges currently faced, and gaps in clinical practice, research, and technology for detection and/or management of AL. The data were analyzed using thematic analysis, which revealed significant gaps in current technologies for early detection and prevention of leaks. Results: Surgeons expressed strong interest in FluidAI’s Stream™ Platform, a non-invasive medical device designed to monitor postoperative drainage fluid in real-time, providing continuous data on AL risk. The ability of this platform to offer early prediction through pH and electrical conductivity analysis was particularly appealing to participants, who emphasized the importance of timely interventions in improving patient outcomes. The study’s findings highlight not only the clinical challenges but also the emotional toll that AL takes on surgeons, underlining the need for innovations that are both data-driven and humanistic. Conclusion: By centering surgeons’ perspectives, this research advocates for a human-centered approach to technological advancement, ensuring that new tools are both clinically effective and aligned with the real-world needs of surgical practitioners.

Generation Mechanism and Social Impact of Knowledge in the Era of"New Quality Productivity"

The changes in knowledge forms in the era of"new quality productivity"are closely related to the development of society.With the rise of the Internet,"the world of dataism is coming".The traditional knowledge production model is undergoing fundamental changes in structure and nature.The most prominent change is that knowledge is becoming increasingly inseparable from data networks.The collaborative production of knowledge based on the Internet is becoming increasingly common,and Wikipedia is a prominent example of this.Wikipedia makes the networked production of knowledge possible by utilizing collective intelligence and data connectivity.Wiki users are commonly referred to as"wiki".This paper conducted interviews with 30 Wiki users and used content analysis to statistically analyze the interview records,in order to study the significance and value of the Wiki knowledge production model for online users,and to glimpse the impact of the knowledge structure changes in the era of"dataism"on social change.

Measures of Variability for Qualitative Variables Using the R Software

Although there are many measures of variability for qualitative variables, they are little used in social research, nor are they included in statistical software. The aim of this article is to present six measures of variation for qualitative variables of simple calculation, as well as to facilitate their use by means of the R software. The measures considered are, on the one hand, Freemans variation ratio, Morals universal variation ratio, Kvalseths standard deviation from the mode, and Wilcoxs variation ratio which are most affected by proximity to a constant random variable, where the measures of variability for qualitative variables reach their minimum value of 0. On the other hand, the Gibbs-Poston index of qualitative variation and Shannons relative entropy are included, which are more affected by the proximity to a uniform distribution, where the measures of variability for qualitative variables reach their maximum value of 1. Point and interval estimation are addressed. Bootstrap by the percentile and bias-corrected and accelerated percentile methods are used to obtain confidence intervals. Two calculation situations are presented: with a sample mode and with two or more modes. The standard deviation from the mode among the six considered measures, and the universal variation ratio among the three variation ratios, are particularly recommended for use.

Crop diversification,sustainable production,and consumption(SDG-12)in rural Bangladesh:insights from the northern region of the country

The present study aimed to understand the current situation of diverse crop production in the northern region of Bangladesh.It also focused on sustainable production and consumption(SDG-12)and its association with crop diversification in the study area.The study adopted several tools and techniques of qualitative methods to design,collect data,and analyze them.By utilizing a non-random,purposive sampling,we chose some selected areas in northern Bangladesh,and following the sampling procedure,50 farmers(small-scale agriculture producers)were selected to answer the central research questions and study-specific objectives.As part of the qualitative data analysis technique,this research employed a'thematic analysis'tool to categorize the collected data under appropriate sub-themes which highlighted the study's major aims and objectives.It is demonstrated that crop diversification is one of the most important strategies for ensuring sustainable agriculture and production.In addition,diverse agricultural production plays a vital role in ensuring farmers'accessibility to food for household consumption.The study recommends that crop diversification should be thoroughly encouraged by the government of Bangladesh(GoB)to achieve SDG-12(Sustainable Production and Consumption)by 2030.Additionally,the relevant officials of the GoB should provide necessary high-yielding seeds of diverse crops among the peasants in rural Bangladesh.Further research can be carried out on climate-resilient local food production systems to ensure sustainable food production and consumption in the country.

An Innovation Superpower in Making

Shanghai is aptly utilising the new round of technological and industrial revolution to effectively revitalise its traditional industries Technological innovation is the starting point for the development of new quality productive forces.This process involves transforming traditional industries and nurturing emerging sectors,ultimately leading to a significant qualitative leap in productivity.

Core competencies and perceived training needs of nurses in the background of Internet plus nursing service:a qualitative descriptive study

Background:The Internet plus nursing service program is being piloted in China,which has become a new home nursing service model led by nurses.To enable safe and effective homecare service delivery,nurses working in the program need a high level of competency.However,the content of these core competencies and the training needs of nurses for Internet plus nursing services are still unknown.Aim:To describe nurses’perceptions of core competencies and training needs to work in the Internet plus nursing service program,thereby providing a reference for the development of training programs.Methods:A qualitative descriptive study using semi-structured interviews was conducted on 15 nurses with experience of working in the Internet plus nursing service program.Interviews were audio-recorded and transcribed verbatim,and the data were analyzed using thematic analysis.Results:Core competencies involved comprehensive assessment competence,direct care practice competence,health education and consulting competence,risk estimation and response competence,and communication competence.Training needs involved complex operational items,knowledge of chronic disease management,professional communication,risk identification and response,nursing standards,norms,and procedures,and utilization of information technology.Conclusions:The training system may be developed based on nurses’core competencies and their training needs to promote professional development of the Internet plus nursing service.

Research on Detection of Food additives Based on Terahertz Spectroscopy and Analytic Hierarchy Process

Terahertz time-domain spectroscopy is a kind of far-infrared spectroscopy technology,and its spectrum reflects the internal properties of substances with rich physical and chemical information,so the use of terahertz waves can be used to qualitatively identify food additives containing nitrogen elements.Analytic hierarchy process(AHP)was originally used to solve evaluation-type problems,and this paper introduces it into the field of terahertz spectral qualitative analysis,proposes a terahertz time-domain spectral qualitative identification method combined with analytic hierarchy process,and verifies the feasibility of the method by taking four common food additives(xylitol,L-alanine,sorbic acid,and benzoic acid)and two illegal additives(melamine,and Sudan Red No.I)as the objects of study.Firstly,the collected terahertz time-domain spectral data were pre-processed and transformed into a data set consisting of peaks,peak positions,peak numbers and overall trends;then,the data were divided into comparison and test sets,and a qualitative additive identification model incorporating analytic hierarchy process was constructed and parameter optimisation was performed.The results showed that the qualitative identification accuracies of additives based on single factors,i.e.,overall trend,peak value,peak position,and peak number,were 80.23%,70.93%,67.44%,and 40.70%,respectively,whereas the identification accuracy of the analytic hierarchy process qualitative identification method based on multi-factors could be improved to 92.44%.In addition,the fuzzy characterisation of the absorption spectrum data was binarised in the data pre-processing stage and used as the base data for the overall trend,and the recognition accuracy was improved to 94.19%by combining the fuzzy characterisation method of such data with the hierarchical analysis qualitative recognition model.The results show that it is feasible to use terahertz technology to identify different varieties of additives,and this paper constructs a hierarchical analytical qualitative model with better effect,which provides a new means for food additives detection,and the method is simple in steps,with a small demand for samples,which is suitable for the rapid detection of small samples.

Research on the High-Quality Development Path of Listed Private Education Groups

The rapid growth of the education industry and private education groups has brought the high-quality development of listed private education companies into focus for both the educational sector and the capital market.This study employs the fuzzy-set qualitative comparative analysis(fsQCA)method to explore pathways to high-quality development for these companies.Necessity analysis confirms that no single factor guarantees a company’s success,highlighting the importance of multi-factor interactions.Three main paths to high-quality development are identified:human resource optimization,precise market positioning,and comprehensive advantage.Conversely,four development paths for non-high-level companies are identified:dual insufficiency in resources and market,high turnover and over-investment,scale expansion with resource mismatch,and inadequate human resource development.The findings indicate that optimal allocation of educational resources,precise market positioning,rational resource allocation,and staff training are crucial for achieving high-quality development.Robustness tests,which raise the consistency threshold,verify the reliability and stability of the results.These findings provide a reference for policymakers,investors,and managers in the education industry.

Exploring the Evolutionary Path of Digital Financial Inclusion in Guangdong Province,China

This study explores the development trajectory of digital financial inclusion in 21 cities in Guangdong Province through fuzzy-set qualitative comparative analysis(fsQCA).The findings emphasize that the success of digital financial inclusion goes beyond individual dimensions,forming a systematic initiative marked by multifaceted interaction among different disciplines.In the trajectory of high-level digital inclusive finance development,the study identifies economic prosperity and technological innovation as crucial elements,highlighting their centrality,and elucidates the synergistic collaboration between market mechanisms and government guidance.Furthermore,the study emphasizes the government’s pivotal role in supporting market mechanisms and guiding policies,highlighting the need to achieve a nuanced equilibrium in the digital financial inclusion strategy.In contrast,non-high-level development paths of digital inclusive finance show a spectrum of diversities,emphasizing the critical roles played by economic fundamentals,government regulation,market mechanisms,and other contextual factors in different trajectories.Regarding policy implications,the study emphasizes the comprehensive and systemic nature inherent in the development of digital inclusive finance.It proposes four policy recommendations,including integrating development strategies,emphasizing scientific and technological innovation and economic development,achieving a delicate balance between market mechanisms and government guidance,and providing precise policy support.These insights provide valuable lessons for shaping digital inclusive financial policies in Guangdong Province and beyond,offering profound insights for strategically constructing robust digital financial ecosystems.

Comprehensive Evaluation of Talent Training Model for Modern Rehabilitation Therapy Technology:A Case Study of School Y

The purpose of this study is to comprehensively evaluate the modern training model of rehabilitation therapy technology talents.Selecting the third-year students of the rehabilitation therapy technology program in School Y as the research subject,300 questionnaires were collected and the effective response rate was 92%.The strengths and weaknesses of the modern training model were analyzed through a mixed qualitative and quantitative research method.It was found that 68%of the students thought that the modern model had obvious advantages in practical teaching,but 42%of the students thought that it still needed to be improved in personalized teaching.This study provides an empirical basis and specific suggestions for optimizing the cultivation of rehabilitation therapy technology talents.