Bibliometric Research in Neurosurgery: A Review of the 50 Most Cited Bibliometric Publications in the Neurosurgical Literature.

Bibliometry is a popular research method that is used to explore and analyze large volumes of data in an effort to highlight trends, patterns, and impacts within a specific field. This review aimed at highlighting the characteristics and citation patterns of the high-impact bibliometric research studies that were published in the neurosurgical literature. Using PubMed and Google Scholar, the 50 (52 due to identical citation numbers for the lowest three articles) most cited bibliometric research publications were identified and reviewed. Information relating to the articles' publication and bibliometric features were retrieved. The articles' citation numbers were collected. The median article age and journal impact factor (IF) were eight years and 2.76, respectively. The majority of studies were published in World Neurosurgery and the Journal of Neurosurgery, which were the publishing journals for 18 (35%) and 12 (23%) articles, respectively. Twenty-six (50%) articles were first authored by researchers from the United States of America (USA). The highest bibliometric component was science mapping, which was the theme in 30 (58%) articles. The majority of the bibliometric focus was clinical topics/fields (22 (42%) articles) and neurosurgeons/departments (21 (40%) articles). The most popular bibliometric metric was the h-index (±variants), which was employed in 22 (42%) articles. The median size of analyzed data was 188, and the most frequently utilized databases were Scopus (22 (42%) articles) and Web of Science (21 (40%) articles). The median (range) citation numbers were 52 (29-238). The citation analysis showed significantly higher citation numbers for older articles (aged ≥ 8 years) and studies published in the Journal of Neurosurgery. The citation rates were not influenced by the size of the data, the searched databases, or the bibliometric features. In conclusion, the most cited bibliometric research publications in the neurosurgical literature were predominantly descriptive analyses of clinical topics/fields and performance analyses of neurosurgeons/departments. Their citation numbers were relatively modest and were positively influenced by the publication's age and by a specific publishing journal but not by the bibliometric features of the study. Bibliometric research provides useful analytic tools that can be utilized in review studies and other practical purposes such as scholarly practices and policy decision-making.

Impact of a Ball Regulation Change on Game Performance and Shooting Play in Japanese U-15 Girls' Handball.

We aimed to investigate how a ball regulation change, implemented in U15 girls' handball games, now affects game performance and shooting plays. Over 14 matches (28 observations), we included all the attacks (n = 813) and shooting plays (n = 589) with the conventional ball and all the attacks (n = 821) and shooting plays (n = 618) with the new ball performed by both teams. We used notational analysis to compare the game performance and shooting plays in these two conditions. Our main results were as follows: (i) the attack efficacy was higher with the new ball (41.9%) than with the conventional ball (36.1%); and (ii) the prevalence of the three-line defensive system was higher with the new ball (10.5%) than with the conventional ball (2.7%). It can be inferred that the new ball enabled backcourt players to execute more powerful middle- and long-range shots, leading to their adoption of deeper defensive tactics that were effective in halting advancing backcourt players. Moreover, implementing new ball regulations resulted in a significantly higher frequency of shots targeted at the upper third of the goal frame (44.4%) compared to those observed with the conventional ball (35.8%). This implies that the introduction of the new ball enhanced precision control over shot placements, resulting in an increased player preference for targeting the upper course. Lastly, goalkeepers' saving rates decreased under the new ball, highlighting the need for technical and tactical coaching, tailored to goalkeepers. In summary, implementing the new ball regulations had a positive impact on Japanese U15 girls' handball performance.

Bibliometric analysis of beneficial cannabis research: Performance analysis and science mapping from 2012 to 2022 and focus on Morocco.

Beneficial cannabis use has sparked growing interest among researchers, leading to an increase in empirical studies exploring its phytochemistry and applications. However, understanding the overall research orientation remains limited. This study aims to bridge this gap by conducting a bibliometric analysis of 7841 documents published from 2012 to 2022. The analysis reveals an annual growth rate of 16.83 %, with a focus on medicine, pharmacology, toxicology, pharmaceutics, biochemistry, genetics, molecular biology, and neuroscience. Performance analysis highlights metrics of sources, countries, affiliations, and authors, while science mapping identifies keywords, thematic evolution, and citation/co-authorship patterns. Notably, Morocco, despite its limited initial contributions, has shown recent steady growth in cannabis research, with an annual growth rate of 14.31 % and a 51.72 % international collaborative rate. This study provides valuable insights into established fields and potential research directions in cannabis research, paving the way for a deeper understanding among the audience. With the changing legal status of cannabis, research is rapidly expanding, focusing on the plant's bioactive compounds, pharmacological properties, and therapeutic applications. The dominant subject areas are medicine, pharmacology, toxicology, pharmaceutics, biochemistry, genetics, molecular biology, and neuroscience, covering nearly 76 % of the studied papers. Despite limited initial contributions from African countries like Morocco due to legal restrictions, beneficial cannabis research is gaining interest. Future research should prioritize in-depth exploration of specific compounds, comparative studies of cannabis-based products, and rigorous clinical trials. Fostering international collaborations and bridging the gap between research and policymakers are crucial for harnessing the full potential of cannabis while mitigating potential risks. This study serves as a reference for researchers to identify current orientations, blind areas, and gaps in cannabis research, offering suggestions for future studies.

Improving the academic resilience of hospital nursing interns through a hybrid multi-criteria decision analysis model.

Purpose: To identify the main variables affecting the academic adaptability of hospital nursing interns and key areas for improvement in preparing for future unpredictable epidemics. Methods: The importance of academic resilience-related variables for all nursing interns was analyzed using the random forest method, and key variables were further identified. An importance-performance analysis was used to identify the key improvement gaps regarding the academic resilience of nursing interns in the case hospital. Results: The random forest showed that five items related to cooperation, motivation, confidence, communication, and difficulty with coping were the main variables impacting the academic resilience of nursing interns. Moreover, the importance-performance analysis revealed that three items regarding options examination, communication, and confidence were the key improvement areas for participating nursing interns in the case hospital. Conclusions: For the prevention and control of future unpredictable pandemics, hospital nursing departments can strengthen the link between interns, nurses, and physicians and promote their cooperation and communication during clinical practice. At the same time, an application can be created considering the results of this study and combined with machine learning methods for more in-depth research. These will improve the academic resilience of nursing interns during the routine management of pandemics within hospitals.

Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis.

This article investigates the effectiveness of feature extraction and selection techniques in enhancing the performance of classifier accuracy in Type II Diabetes Mellitus (DM) detection using microarray gene data. To address the inherent high dimensionality of the data, three feature extraction (FE) methods are used, namely Short-Time Fourier Transform (STFT), Ridge Regression (RR), and Pearson's Correlation Coefficient (PCC). To further refine the data, meta-heuristic algorithms like Bald Eagle Search Optimization (BESO) and Red Deer Optimization (RDO) are utilized for feature selection. The performance of seven classification techniques, Non-Linear Regression-NLR, Linear Regression-LR, Gaussian Mixture Models-GMMs, Expectation Maximization-EM, Logistic Regression-LoR, Softmax Discriminant Classifier-SDC, and Support Vector Machine with Radial Basis Function kernel-SVM-RBF, are evaluated with and without feature selection. The analysis reveals that the combination of PCC with SVM-RBF achieved a promising accuracy of 92.85% even without feature selection. Notably, employing BESO with PCC and SVM-RBF maintained this high accuracy. However, the highest overall accuracy of 97.14% was achieved when RDO was used for feature selection alongside PCC and SVM-RBF. These findings highlight the potential of feature extraction and selection techniques, particularly RDO with PCC, in improving the accuracy of DM detection using microarray gene data.

Gap analysis of strategies for promoting interprofessional teams in healthcare units.

PURPOSE: A healthcare unit's effectiveness largely depends on how well its interprofessional teams work together. Unfortunately, the strategies used to improve these teams often lack substance. This study analyzed these strategies and found a performance gap. DESIGN/METHODOLOGY/APPROACH: This study took a unique mixed-method approach, systematically reviewing both qualitative and quantitative studies that identified strategies to enhance interprofessional teams in healthcare units. To gauge the effectiveness of these strategies, the researcher utilized an Importance-Performance Analysis (IPA) in four specialized clinical training centers in Hamadan province, Iran. The analysis of the IPA involved 35 experts from these centers as the statistical population. FINDINGS: Based on a systematic review, there are seven categories: contextual, strategic, communication, organizational, individual, Human Resources Management (HRM), and environmental for promoting interprofessional teams with a total of 36 sub-indicator. Based on the IPA, the HRM aspect shows the most extensive performance gap. The individual and organizational aspects fall under resource wastage, and the environmental aspect is within the indifferent zone. Also, some critical sub-indicators, such as incentives/rewards, roles and responsibilities, financial resources, team-initiated innovation, the culture of respect, partner resources, humility, data availability, set expectations, and team availability, are in the weak areas. PRACTICAL IMPLICATIONS: This research has identified critical areas for improvement in promoting teamwork in clinical training centers through a comprehensive gap analysis. It also presents practical policy solutions to address these weak points, providing a clear roadmap for enhancing interprofessional teams in healthcare units. ORIGINALITY/VALUE: Improving teamwork in healthcare can be challenging, but it is possible with proper strategies and tools. One of the highlights of the recent study was the combination of systematic review studies with IPA to identify areas for improving interprofessional teamwork in clinical training centers.

Students' core competence performance during fundamental nursing practicum: A cross-sectional survey with importance-performance analysis.

AIM: Limited available studies compare the core competence performance of students undertaking their practicum at different level-of-care practicum sites. This study aimed to (1) compare the gaps between the perception of importance for competence and the perceived performance of nursing students at practicum sites involving different level-of-care and (2) identify low competencies that must be prioritized for improvement at different sites during the fundamental nursing practicum. DESIGN: Cross-sectional design. METHODS: A total of 659 students who had passed their fundamental nursing practicum within 1 month from six nursing colleges in Taiwan were recruited. The students completed the 25-item Core Competence in Fundamental Nursing Practicum Scale, wherein both the importance and performance level of each item are indicated. One-way analysis of variance along with the Scheffe post hoc test and importance-performance analysis were used to explore the gaps between the perception of importance for competence and the perceived performance and to identify weak competencies that must be prioritized for improvement, respectively. RESULTS: Compared with nursing students practicing in district hospitals (predominantly caring for chronically ill patients), nursing students practicing in medical centres (predominantly caring for patients with severe and critical conditions) had larger gaps in total scores and the application of nursing processes. Students in medical centres also had larger gaps in professional attitude than their counterparts in long-term care facilities. Importance-performance analysis identified a common shortfall in communication skills among nursing students for all level-of-care practicum sites. Students at long-term facilities had the highest number of weak competencies that required improvement. The results of this study can guide instructors in designing curricular activities focused on the weaker core competencies of the students at a practicum site for each level of care. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contributions.

Hospital nurse managers' perspectives of the Magnet Recognition Program using an importance-performance analysis: A quantitative cross-sectional study.

AIM: To explore the perspectives of nursing managers in Korean hospitals on the Magnet Recognition Program using importance-performance analysis. DESIGN: A descriptive quantitative cross-sectional design with a survey methodology was used to evaluate nursing managers' perceptions of the Magnet Recognition Program criteria. METHODS: After the Magnet Recognition Program's content validity was confirmed, an online survey was administered to 150 nursing managers from 10 hospitals. The results were analysed using importance-performance analysis. RESULTS: The average importance of the questionnaire for the developed Magnet Recognition Program criteria was 3.19 ± 135 and the performance was 2.90 ± 222. Items corresponding to the areas 'Concentrate here', 'Keep up the good work', 'Possible overkill' and 'Low priority' were identified using two importance-performance analysis frames. The items corresponding to 'Concentrate here' included evidence-based nursing practice, the nursing professional practice model, nurses' participation in improving turnover rate and cases of innovation in nursing. CONCLUSION: This study highlights areas for improvement within the Magnet Recognition Program as perceived by Korean nursing managers, emphasizing evidence-based practice, professional models and nurses' involvement in turnover reduction and fostering innovation. PUBLIC CONTRIBUTION: To achieve Magnet recognition, hospitals must understand nursing managers' perspectives on the Magnet Recognition Program criteria. This study provides insights into enhancing the work environment for nurses in South Korean hospitals and lays the groundwork for developing effective Magnet certification programs. Introducing the Magnet program into South Korean hospitals may improve the overall nursing work environment and mitigate the serious problem of nursing staff turnover. REPORTING METHOD: The findings were reported using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist.

Optimal Drop Heights for Determining Reactive Strength Performance in Youth-Is 1 Drop Height Sufficient to Generate Trustworthy Conclusions for Training Practice?

This study critically examines the suitability of using a single drop height to assess the reaction strength index in trained and active participants, a key component of athletic performance. Using a cross-sectional design, 377 trained (n = 163) and active (n = 214) participants aged 14-18 years performing drop jumps from 4 different heights (24, 32, 40, and 48 cm) were studied. The primary aim was to explore the individual differences in reaction strength index at these heights and to assess whether a single height can reliably represent stretch-shortening cycle capabilities. While the repeated measures analysis of variance did not reveal any significant differences, the Bland-Altmann analysis revealed significant individual discrepancies between the performance of the drop heights, resulting in a mean absolute error of 32.1 and a mean absolute percentage error of 20.6%. These results strongly suggest that a single drop height is not sufficient to determine performance in the stretch-shortening cycle. This has important practical implications as it can lead to underestimates of performance trends. The study advocates the inclusion of a range of drop heights in routine testing to accurately measure reactive power and thus improve the effectiveness of individualized training programs for young athletes/active youth.

Bridging the Gap Between Training and Competition in Elite Rink Hockey: A Pilot Study.

BACKGROUND: Monitoring training load and competition load is crucial for evaluating and improving athlete performance. This study proposes an applied approach to characterize and classify the training task specificity in relation to competition in a top-level rink hockey team, considering external and internal load from training tasks and competition. HYPOTHESIS: Training tasks and game demands have significant dose-response differences, and exercises can be classified successfully based on their physiological and biomechanical demands. STUDY DESIGN: Cross-sectional study. LEVEL OF EVIDENCE: Level 5. METHODS: Ten elite-level male rink hockey players participated in this study. Players were monitored on 6 different task categories during 8 training sessions and 2 official games. A linear mixed model with random intercepts was used to compare training tasks and competition load, accounting for individual repeated measures. A 2-step cluster analysis was performed to classify the training tasks and games based on physiological and biomechanical load, employing log-likelihood as the distance measure and Schwartz's Bayesian criterion. RESULTS: Average heartrate , maximum heartrate, and high-speed skating (18.1-30 km/h) were the best physiological load predictors, while the most effective biomechanical load predictors were impacts [8-10] g(n), decelerations [-10 to -3]m/s²(n), and accelerations [3-10]m/s²(n). Different physiological and biomechanical responses were verified between training tasks and match demands. A 4-quadrant efforts assessment for each task category revealed that training tasks used by the team in the analysis presented lower biomechanical and physiological load demands than competition. CONCLUSION: Training tasks failed to adequately replicate the specific demands of competition, especially regarding high mechanical stress, such as the absence of high-intensity impacts and decelerations. CLINICAL RELEVANCE: This method of classification of training tasks may allow coaches to understand further the specificity and contribution of each task to competition demands, consequently improving the capacity of load management and the preparedness and readiness of players for competition.

Agreement between an automated video-based system and tethered system to measure instantaneous swimming velocity.

Successful performance in competitive swimming requires a swimmer to maximise propulsion and minimise drag, which can be assessed using instantaneous swimming velocity. Many systems exist to quantify velocity, and therefore, it is important to understand the agreement between systems. This study examined the agreement between an automated video-based system and a tethered system to measure instantaneous velocity. Twenty-two competitive swimmers (state level or higher) completed 25 m of each stroke at maximal intensity. The tethered speedometer was attached to the swimmer's waist, while videos of each trial were recorded. The swimmer's head was then automatically tracked using proprietary software, and instantaneous velocity was determined from each system. Bland-Altman plots showed good agreement between the two systems in backstroke (95% Limits of Agreement (LOA): -0.24-0.26 m.s-1) and freestyle (95% LOA: -0.36-0.38 m.s-1) but poorer agreement in butterfly (95% LOA: -0.51-0.53 m.s-1) and breaststroke (95% LOA: -0.88-0.92 m.s-1). The root mean square error was higher in butterfly (0.27 m.s-1) and breaststroke (0.46 m.s-1) compared to backstroke (0.13 m.s-1) and freestyle (0.19 m.s-1). Results demonstrated that the two systems are comparable for measuring instantaneous swimming velocity; however, larger discrepancies are evident for butterfly and breaststroke.

Evolution of passing network in the Soccer World Cups 2010-2022.

This study investigates the evolution of passing networks (PN) at both team and player levels in the FIFA World Cups (WC) from 2010 to 2022. Analyzing 256 matches (7328 player observations) using a multiple-camera tracking system across four WCs, we considered six playing positions: goalkeeper (n = 521), central defender (n = 1192), fullback (n = 1223), midfielder (n = 2039), winger (n = 1320), and central forward (n = 1033). We used 17 network metrics and considered contextual variables such as team formation, and team ranking. Linear mixed-effect models analyzed differences in team and player PN parameters by year and team strength. Results showed a shift from possession-play to direct-play from the 2010 to 2018 WCs, with possession-play returning in 2022. Specifically, high- and low-quality teams significantly decreased their density, average degree (AD), modularity, and average path length in 2018 (p < 0.05). High-quality teams showed increased density, AD, and average weighted degree in 2022 (p < 0.05). Midfielders and central forwards exhibited significantly lower centrality parameters, whereas central defenders and goalkeepers showed increased centrality parameters (p < 0.05). This study highlights the evolutionary trends of passing relationships from a network analysis perspective over twelve years, providing insights into the changing dynamics of team interactions and positional prominence in elite soccer.

Positional Differences in Decision-Making Situations during Professional Rugby League Match-Play.

The aim of this study was to explore the types and frequency of decision-making situations of rugby league players during defensive situations and examine whether they were predictive of key performance indicators (KPI). Fifteen elite rugby league matches were coded using notational analysis methods. Specific defensive situations were analysed, including the number of: one-on-one situations with an opposing attacker (1-on-1), two-on-one situations (2-on-1), and combined 1-on-1 and 2-on-1 situations (i.e., total decisions; TDs). There was no relationship between the game outcome and game KPIs for TDs or 1-on-1 decision-making situations. However, successful tackles and missed tackles were predictive of 2-on-1 decision-making situations. Positional differences revealed that back rowers were exposed to the greatest number of decision-making situations, while wingers had the lowest exposure. The total number of decisions and the number of 1-on-1 decisions made by the centres and wingers were significant predictors of line breaks. Additionally, 2-on-1 decisions were significant predictors of line breaks for backrowers. The findings of this study suggest that the type and frequency of decision-making situations in Rugby League are position specific. Practical applications for coaches are discussed to ensure that practice approaches are representative of the various defensive decision-making demands players experience during a game, based on their position.

The burdens of sitting on the bench - comparison of absolute and relative match physical load between handball players with high and low court time and implications for compensatory training.

Wearables quantify the activity in team sports and indicate that players experience peak physical loads during competitions. Accordingly, players with limited court time in competitions will miss important training stimuli. The present study aimed to quantify these gaps in physical load in professional handball players. Activity of all players competing in the 2021/2022 Bundesliga (Germany) was tracked using Kinexon LPS sensors. Gaps in physical load were quantified comparing the 25% of appearances with the highest (HIGH; 51.8 ± 5.2 mins) and lowest court times (LOW; 10.1 ± 4.3 mins). Distances, accumulated acceleration, jumps, sprints, impacts, accelerations, and decelerations were analysed as absolute and relative (per minute) outcomes. Players were grouped into wings, backcourts, and pivots. Unpaired t-tests between HIGH and LOW were performed (p < .05), and effect sizes were calculated (Cohen´s d). Analyses revealed significant effects of court time on activity. While absolute activity increased for HIGH, relative activity increased for LOW (p < .05). In addition, effect sizes revealed position-specific gaps in physical load, particularly for acyclic activities (jumps, accelerations). Gaps in physical load resulting from limited court time are highly position-specific. Our observations may provide benchmarks for the position-specific calibration of compensatory training.

Factors Affecting the Running Performance of Soccer Teams in the Turkish Super League.

Performance analysis in sports is a rapidly evolving field, where academics and applied performance analysts work together to improve coaches' decision making through the use of performance indicators (PIs). This study aimed to provide a comprehensive analysis of factors affecting running performance (RP) in soccer teams, focusing on low (LI), medium (MI), and high-speed distances (HI) and the number of high-speed runs (NHI). Data were collected from 185 matches in the Turkish first division's 2021-2022 season using InStat Fitness's optical tracking technology. Four linear mixed-model analyses were conducted on the RP metrics with fixed factors, including location, team quality, opponent quality, ball possession, high-press, counterattacks, number of central defenders, and number of central forwards. The findings indicate that high-press and opponent team quality affect MI (d = 0.311, d = 0.214) and HI (d = 0.303, d = 0.207); team quality influences MI (d = 0.632); location and counterattacks impact HI (d = 0.228, d = 0.450); high-press and the number of central defenders affects NHI (d = 0.404, d = 0.319); and ball possession affects LI (d = 0.287). The number of central forwards did not influence any RP metrics. This study provides valuable insights into the factors influencing RP in soccer, highlighting the complex interactions between formations and physical, technical-tactical, and contextual variables. Understanding these dynamics can help coaches and analysts optimize team performance and strategic decision making.

The influence of "momentum" on the game outcome while controlling for game types in basketball.

In competitive sports, momentum encompasses positive or negative changes in cognition, physiology, emotions, and behavior caused by sudden or a series of continuous events. Momentum occurring during basketball games leads to significant performance variation regarding positive net points differences for a specific team within a certain period. This study designed a quantitative framework based on two performative dimensions (time constraints and point differentials) to accurately identify momentum in basketball games, and explored the role of momentum in games. We identified 2,083 momentum occurrences in 372 professional elite basketball games. The number of momentum occurrences for winning teams is significantly higher than for losing teams (1.78 ± 0.47 Difference Value, p < 0.001); the correlation between momentum and game outcomes decreased as each quarter progressed. To distinguish the influence of contextual variables on momentum, we divided games into five types based on the team quality differences between the team and the opponent team. The decision tree model shows that first-quarter momentum is critical in games where weaker teams defeat stronger teams. This study provides insights for basketball coaches to formulate game strategies. More importantly, the momentum conceptual framework can help researchers identify and capture momentum, offering inspiration and reference for subsequent research.

Analysing substitutions in recent World Cups and European Championships in male and female elite football - influence of new substitution rules.

Substitutions play a key role in modern football and can substantially affect the physical and overall performance of a team, and the recent substitution rule changes are worth investigating. This study explored the characteristics of substitutions, including different substitution rules, game results, sex, competition stages, tournaments and penalty shoot-outs success rates. We analysed data from a total of 3,738 substitutions from the last 10 years (2013-2023) of European Championships and World Cups, both men's and women's games. Non-parametric tests and chi-square tests were used for statistical analysis with the significance level set at p < 0.05. With the 5-substitution rule, 48% more substitutions occurred compared to the 3-substitution rule (4.26 ± 1.07 vs. 2.87 ± 0.43, p < 0.05) with a slight increase in the average substitution time (70.6 ± 14.3 vs. 69.2 ± 14.6 min, p < 0.05), and 10% more substitutions in the men's game compared to the women's game (p < 0.05). The timing of the first substitution was slightly different in the knock-out stage compared to group stage (59.8 ± 14.7 vs. 57.2 ± 13.3 min, p < 0.05), and the timing for the winning team and drawing team was later than for the losing team (p < 0.05). A total of 13.2% goals were scored by substitutes, with no significant difference between the 5-substitution rule (15.9%) vs the 3-substition rule (12.5%) (p > 0.05). Interestingly, substitute players had a lower success rate in penalty shoot-out compared to starters (61 vs. 74%, p < 0.05). Additionally, substitute player goal scorers entered the pitch later (p < 0.05) in male games compared to female games and in knock-out stage games compared to group games. This study highlights the importance of substitution rules and timing in modern elite football matches. The timing of the first substitution, introduction of substitutes in knock-out stages, and a lower success rate of substitute players in penalty shoot-outs are crucial factors to consider. Coaches can use this information to make strategic substitution decisions to improve team performance.

Research on the Influence of Core Sensing Components on the Performance of Galvanic Dissolved Oxygen Sensors.

The galvanic dissolved oxygen sensor finds widespread applications in multiple critical fields due to its high precision and excellent stability. As its core sensing components, the oxygen-permeable membrane, electrode, and electrolyte significantly impact the sensor's performance. To systematically investigate the comprehensive effects of these core sensing components on the performance of galvanic dissolved oxygen sensors, this study selected six types of oxygen-permeable membranes made from two materials (Perfluoroalkoxy Polymer (PFA) and Fluorinated Ethylene Propylene Copolymer (FEP)) with three thicknesses (0.015 mm, 0.03 mm, and 0.05 mm). Additionally, five concentrations of KCl electrolyte were configured, and four different proportions of lead-tin alloy electrodes were chosen. Single-factor and crossover experiments were conducted using the OxyGuard dissolved oxygen sensor as the experimental platform. The experimental results indicate that under the same membrane thickness conditions, PFA membranes provide a higher output voltage compared to FEP membranes. Moreover, the oxygen permeability of FEP membranes is more significantly affected by temperature. Furthermore, the oxygen permeability of the membrane is inversely proportional to its thickness; the thinner the membrane, the better the oxygen permeability, resulting in a corresponding increase in sensor output voltage. When the membrane thickness is reduced from 0.05 mm to 0.015 mm, the sensor output voltage for PFA and FEP membranes increases by 86% and 74.91%, respectively. However, this study also observed that excessively thin membranes might compromise measurement accuracy. In a saturated, dissolved oxygen environment, the sensor output voltage corresponding to the six oxygen-permeable membranes used in the experiment exhibits a highly linear inverse relationship with temperature (correlation coefficient ≥ 98%). Meanwhile, the lead-tin ratio of the electrode and electrolyte concentration have a relatively minor impact on the sensor output voltage, demonstrating good stability at different temperatures (coefficient of variation ≤ 0.78%). In terms of response time, it is directly proportional to the thickness of the oxygen-permeable membrane, especially for PFA membranes. When the thickness increases from 0.015 mm to 0.05 mm, the response time extends by up to 2033.33%. In contrast, the electrode material and electrolyte concentration have a less significant effect on response time. To further validate the practical value of the experimental results, the best-performing combination of core sensing components from the experiments was selected to construct a new dissolved oxygen sensor. A performance comparison test was conducted between this new sensor and the OxyGuard dissolved oxygen sensor. The results showed that both sensors had the same response time (49 s). However, in an anaerobic environment, the OxyGuard sensor demonstrated slightly higher accuracy by 2.44%. This study not only provides a deep analysis of the combined effects of oxygen-permeable membranes, electrodes, and electrolytes on the performance of galvanic dissolved oxygen sensors but also offers scientific evidence and practical guidance for optimizing sensor design.

Measurement and improvement of island B&BS customer satisfaction.

Customer satisfaction is an important criterion to measure the service quality of bed and breakfasts (B&Bs). How to assess the customer satisfaction of B&Bs scientifically has always been a worthy topic. Based on the national standard, this study constructed an evaluation index system of customer satisfaction of island B&Bs consisting of 5 dimensions and 23 indicators. After SEM verification, the index system exhibited a good fit, and the dimensions of atmosphere, service, security, facilities, and characteristics had a significant positive effect on the customer satisfaction of the island B&Bs. At the same time, customer satisfaction of island B&Bs significantly and positively affected customers' post-purchase psychological perceptions, such as overall evaluation, repurchase intention, and recommendation intention. Then, the IPA method was used to analyze the importance and satisfaction of each index of customer satisfaction of Fujian island B&Bs. The results showed that island B&Bs in Fujian had strong advantages in the island atmosphere, guest services and facilities, and the most urgent index to be improved was the light and sound insulation of the guest rooms, and the featured items such as specialty food and beverage, customized activities, and specialty cultural and creative sales also needed to be improved. The index system provides a scientific method for the customer satisfaction evaluation of the island B&Bs，and it will effectively guide the operation and management of the island B&Bs operators.