High Level Of Confidence Research Articles

Urinary metabolomic profiling of a cohort of Colombian patients with systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is an autoimmune and multisystem disease with a high public health impact. Lupus nephritis (LN), commonly known as renal involvement in SLE, is associated with a poorer prognosis and increased rates of morbidity and mortality in patients with SLE. Identifying new urinary biomarkers that can be used for LN prognosis or diagnosis is essential and is part of current active research. In this study, we applied an untargeted metabolomics approach involving liquid and gas chromatography coupled with mass spectrometry to urine samples collected from 17 individuals with SLE and no kidney damage, 23 individuals with LN, and 10 clinically healthy controls (HCs) to identify differential metabolic profiles for SLE and LN. The data analysis revealed a differentially abundant metabolite expression profile for each study group, and those metabolites may act as potential differential biomarkers of SLE and LN. The differential metabolic pathways found between the LN and SLE patients with no kidney involvement included primary bile acid biosynthesis, branched-chain amino acid synthesis and degradation, pantothenate and coenzyme A biosynthesis, lysine degradation, and tryptophan metabolism. Receiver operating characteristic curve analysis revealed that monopalmitin, glycolic acid, and glutamic acid allowed for the differentiation of individuals with SLE and no kidney involvement and individuals with LN considering high confidence levels. While the results offer promise, it is important to recognize the significant influence of medications and other external factors on metabolomics studies. This impact has the potential to obscure differences in metabolic profiles, presenting a considerable challenge in the identification of disease biomarkers. Therefore, experimental validation should be conducted with a larger sample size to explore the diagnostic potential of the metabolites found as well as to examine how treatment and disease activity influence the identified chemical compounds. This will be crucial for refining the accuracy and effectiveness of using urine metabolomics for diagnosing and monitoring lupus and lupus nephritis.

Registered nurses’ confidence related to undertaking a leadership role in residential aged care: A clinical leadership self-assessment survey

BackgroundThe Australian Royal Commission emphasizes the importance of registered nurse leadership in providing safe, high-quality care to older adults in Residential aged care. Nurse leadership has important ramifications for effective multidisciplinary care as well as recruitment and retention of the aged care workforce. Registered nurse leadership plays a crucial role in enhancing resident outcomes in Residential aged care, however there are limited studies examining self-perceptions of confidence and competence of nurses running Residential aged care, particularly after hours. AimTo examine registered nurse leadership via self-reported confidence and competence in Residential aged care. MethodsA cross-sectional research design with ten facilities in Western Australia was used, including a survey tool that relied on the Clinical Leadership Competency Framework. Cronbach's alpha test was used to ascertain internal reliability and replicability. The Strengthening the Reporting of Observational studies in Epidemiology guidelines was used to guide the study. Inferential statistics were used for data analysis. Data collection occurred over a six-month period, involving registered nurses employed by a single Residential aged care provider in Perth, Western Australia. Participants rated their leadership confidence on a 5-point Likert-type scale ranging from 1 (never) to 5 (all the time). FindingsFrom a sample of 100 registered nurses working in aged care after-hours, 90% reported high levels of self-confidence. The survey results showed that those who have more than 10 years of experience reported highest confidence in managing services. Registered nurses over 50 years old self-reported highest confidence in personal qualities, managing, and improving service domains. DiscussionRegistered nurses run residential aged care, and this time of aged care reform provides an opportunity to examine associations between registered nurse leadership and resident outcomes and provide avenues for improvements in working environments and resident experiences. ConclusionThe findings have important implications for Residential aged care providers in establishing effective leadership mentoring programs to support registered nurses in improving their confidence and ability.

Risk Measurement of Investment Portfolio Using Var and Cvar from The Top 10 Traded Stocks on the IDX

Portfolio investment reflects a commitment to the allocation of funds or resources which is considered a strategic step in managing assets to achieve future profits. This research begins with a careful analysis of a portfolio consisting of the ten best stocks on the Indonesia Stock Exchange (IDX). Through in-depth processing and analysis of stock data, the dynamics of performance, risk and volatility involved in each investment commitment are revealed. The Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) methods at the 90%, 95%, and 99% confidence levels take centre stage, highlighting the potential for increased losses as confidence levels increase. In-depth analysis illustrates that CVaR, considering the extreme risks in the distribution, provides a more holistic picture than VaR. With a VaR (99%) value of IDR 84,973,959,424 and CVaR (99%) of IDR 471,795,822,064, this research provides a concrete picture of potential risks at the highest level of confidence. These results confirm that CVaR has a crucial role in identifying and measuring the potential for more significant losses, especially in the face of unexpected market uncertainty. As a guide for investment decision makers, this research forms an important basis for carefully considering the level of risk and potential return at various levels of confidence. This allows the development of smarter and more informed investment strategies.

Tapping the Full Potential of Infrared Spectroscopy for the Analysis of Technical Lignins.

We present an approach to overcome the challenges associated with the increasing demand of high-throughput characterization of technical lignins, a key resource in emerging bioeconomies. Our approach offers a resort from the lack of direct, simple, and low-cost analytical techniques for lignin characterization by employing multivariate calibration models based on infrared (IR) spectroscopy to predict structural properties of lignins (i. e., functionality, molar mass). By leveraging a comprehensive database of over 500 well-characterized technical lignin samples - a factor of 10 larger than previously used sets - our chemometric models achieved high levels of quality and statistical confidence for the determination of different functional group contents (RMSEPs of 4-16 %). However, the statistical moments of the molar mass distribution are still best determined by size-exclusion chromatography. Analyses of over 500 technical lignins offered also a great opportunity to provide information on the general variability in kraft lignins and lignosulfonates (from different origins). Overall, the effected savings in analysis time (>7 h), resources, and required sample mass combined with non-destructiveness of the measurement satisfy key demands for efficient high-throughput lignin analyses. Finally, we discuss the advantages, disadvantages, and limitations of our approach, along with critical insights into the associated chemical-analytical and spectroscopic challenges.

Point-of-care ultrasound (POCUS) pediatric resident training course: a cross-sectional survey

BackgroundPoint-of-care ultrasound (POCUS) is becoming increasingly crucial in the Pediatric Emergency Department for objective patient examination. However, despite its growing interest and wide-ranging applications, POCUS remains relatively unexplored in general pediatric training and education. Many physicians still find it challenging to comprehend and implement.MethodsA theoretical-practical POCUS course for pediatric residents was conducted at the University of Catania, Italy. The course’s effectiveness and practical impact on residents was assessed through a pre-post training survey. The first part of the questionnaire focused on the self-perceived time needed to learn how to recognize the following conditions using POCUS: (i) Pleural effusion (ii) Lung consolidation (iii) Pneumothorax (PNX) (iv) Cardiac contractility (v) Pericardial effusion (vi) Perisplenic effusion (vii) Morison’s pouch effusion (viii) Douglas’ pouch effusion (ix) Filling and collapsibility of the inferior vena cava. In the second part, we compared the potential role of POCUS in (i) Reducing the use of ionizing radiation in children (ii) Increasing the sense of security in diagnosis and treatment decisions making and (iii) Increasing the residents’ confidence level with POCUS after the course on a 1-to-10 rating scale.ResultsSeventy-two residents participated in the study. The statistical analysis showed significant pre-post differences in almost all the items considered, except for “cardiac contractility” and “PNX”. Furthermore, the perceived potential role of POCUS in reducing ionizing radiation usage and the sense of security in diagnosis and treatment decisions showed statistically significant differences (p < 0.05) before and after the course. Data analysis also revealed a consistently high confidence level with POCUS after the course.ConclusionsThe results highlight the importance of including a POCUS track course in pediatric post-graduate programs due to its simplicity, rapid learning time, and clinical usefulness. Based on these findings, it would be recommended to increase the teaching hours dedicated to the recognition of pneumothorax and cardiology POCUS examination. Emphasizing POCUS training in pediatric education can enhance patient care and diagnostic accuracy while minimizing radiation exposure.

Energy modeling, calibration, and validation of a small-scale greenhouse using TRNSYS

Greenhouse energy modeling is a prevalent tool for optimizing greenhouse energy consumption. However, for a model to serve its intended use, it is imperative to have a high level of confidence in the precision of its predictions. In this paper, a validated greenhouse energy model for a typical small-scale greenhouse in a cold climate is developed. The model is created using TRNSYS, a building performance simulation tool, with detailed energy modeling components and a user-defined crop model. The model is calibrated to fix uncertain parameters. A sensitivity analysis is used first to identify sensible uncertain parameters, followed by a multi-stage automated calibration. The automated calibration method uses a multi-objective genetic algorithm to adjust the uncertain parameters, calibrating the model for the measured indoor air temperature and relative humidity. The model performed well during the free-floating and ventilated stages (56 days) with a combined root mean square error (RMSE) of 1.6 °C for indoor air temperature and 8.3 % for the air relative humidity. The validation process involved assessing the applicability of the calibrated model using two additional datasets. For all the cases, comparing the simulation results with indoor environment measurements resulted in an RMSE of less than 2 °C for air temperature and less than 10 % for air relative humidity; these values compare favorably to the literature. The model achieved a 3.7 % mean relative error (MRE) in estimating monthly energy consumption for a minimally heated greenhouse. Given these results, the model is deemed sufficiently accurate and applicable for future investigations.

A Longitudinal Mixed Methods Case Study Investigation of the Academic, Athletic, Psychosocial and Psychological Impacts of Being a Sport School Student Athlete

BackgroundSport schools are popular environments for simultaneously delivering education and sport to young people. Previous research suggests sport school involvement to have impact (i.e. the positive/negative, intended/unintended and long/short-term outcomes, results and effects) on student athlete’s holistic (i.e. academic, athletic, psychosocial and psychological) development. However, previous research is limited by (1) cross-sectional methods, (2) limited multidimensional assessments, (3) lack of consideration for athlete characteristics (e.g. sex) and (4) failure to evaluate how sport school features affect student-athlete impacts.ObjectivesThe study, using a mixed methods case study approach, aims to (1) longitudinally evaluate the impact of sport school involvement on the holistic development of student athletes, (2) evaluate the impact on holistic development by student-athlete characteristics and (3) explore the features and processes of the sport–school programme that drive/facilitate holistic impacts.MethodsA longitudinal mixed methods design was employed across one full academic school year (33 weeks). Six data-collection methods (i.e. online questionnaire, physical fitness testing battery, academic assessment grades, log diaries, field notes/observation and timeline diagram/illustration) were used to assess the academic, athletic, psychosocial and psychological impacts for 72 student athletes from one sport school in the United Kingdom (UK).ResultsStudent athletes developed positive long-term holistic overall impacts (i.e. academically, athletically and personally), including maintaining stable and relatively high levels of sport confidence, academic motivation, general recovery, life skills, resilience and friends, family and free time scores. Despite positive impacts, juggling academic and sport workload posed challenges for student athletes, having the potential to lead to negative holistic impacts (e.g. fatigue, stress and injury). Positive and negative impacts were linked to many potential features and processes of the sport school (e.g. academic and athletic support services versus insufficient training load build-up, communication, coordination, flexibility and planning). Furthermore, when considering student-athlete characteristics, females had lower sport confidence, higher general stress and body image concerns and less general recovery than males and student athletes who played sport outside the school had lower general recovery.ConclusionsThis mixed method, longitudinal study demonstrated sport school involvement resulted in many positive academic (e.g. good grades), athletic (e.g. fitness development), psychosocial (e.g. enhanced confidence) and psychological (e.g. improved resilience) impacts attributed to the academic and athletic support services provided. However, juggling heavy academic and athletic workloads posed challenges leading to negative impacts including fatigue, pressure, stress and injury. Furthermore, holistic impacts may be sex dependent and further support may be required for female student athletes in sport school environments. Overall, these findings demonstrate the complex nature of combining education and sport commitments and how sport schools should manage, monitor and evaluate the features of their programme to maximise the holistic impacts of sport–school student athletes.

S-wave seismic data interpretation for gas reservoir at Sanhu area, Qaidam Basin, west China

The Qigequan Formation at the Sanhu area of the Qaidam Basin in western China is a significant gas producing formation. However, the conventional P-wave seismic survey conducted in this region reveals the presence of extensive gas clouds that strongly attenuate P waves, resulting in substantial uncertainty regarding the subsurface structure. To address this challenge, a 3D-9C seismic survey was conducted to produce S-wave reflection data unaffected by gas clouds and yielding remarkably clearer subsurface images with a higher level of confidence. The processing of the S-wave data largely used conventional P-wave processing techniques, except for S-wave splitting, which produced distinct fast (S1) and slow (S2) S-wave data sets. Notably, the S2 data exhibited superior quality compared with the S1 data, enabling us to apply various seismic attribute techniques to extract geologic features. To validate our findings, we cross reference the seismic attribute results with well-log and production data, revealing a pronounced spatial correlation between the gas reservoir and channel structure, as the prime targets for potential gas reservoirs.

Empowering adult patients with diabetes for health educators' role within their family members: A cross-sectional study.

Patient engagement as partners in diabetes prevention for family members/close relatives is a novel and underexplored approach. This paper aims to assess patients' willingness and confidence in their ability to succeed as health educators for their family members and investigate the influencing factors. A cross-sectional descriptive study was conducted between January 2023 and April 2023. A newly developed and validated self-reported questionnaire, based on the Health Belief Model (HBM) and previous research, was administered to a convenient sample of 134 adult participants diagnosed with diabetes. These participants sought care at primary healthcare clinics at King Abdul-Aziz Medical City, Ministry of National Guard Health Affairs in Riyadh and Jeddah (MNGHA). The data was examined using statistical methods including descriptive analysis, ANOVA, Tukey's HSD (Honestly Significant Difference) Post Hoc tests, and Pearson's correlation coefficients. The majority of participants expressed a willingness to assume the role of health educators for their family members (n = 117, 87.31%) and reported a high level of willingness and confidence, as indicated by self-efficacy scores ranging from 12.00 to 25.00, with a mean of 21.12 (SD = 2.76). Participants' willingness to be health educators exhibited positive correlations with their perceptions of diabetes severity and susceptibility (r = .433, p < .01), perceived benefits and barriers (r = .451, p < .01), cues to action (r = .520, p < .01), self-efficacy (r = .789, p < .01), and the total score of the questionnaire (r = .640, p < .01). The majority of participants expressed their willingness to assume the role of health educators for their family members, and a significant portion reported confidence in their capacity to accomplish this objective. Healthcare providers should emphasize the importance of equipping patients with the skills and knowledge necessary to effectively convey health messages and serve as health educators within their communities. This expansion of the approach holds the potential to have a significant impact on public health strategies for diabetes prevention.

DeepLabCut-based daily behavioural and posture analysis in a cricket.

Circadian rhythms are indispensable intrinsic programs that regulate the daily rhythmicity of physiological processes, such as feeding and sleep. The cricket has been employed as a model organism for understanding the neural mechanisms underlying circadian rhythms in insects. However, previous studies measuring rhythm-controlled behaviours only analysed locomotive activity using seesaw-type and infrared sensor-based actometers. Meanwhile, advances in deep learning techniques have made it possible to analyse animal behaviour and posture using software that is devoid of human bias and does not require physical tagging of individual animals. Here, we present a system that can simultaneously quantify multiple behaviours in individual crickets - such as locomotor activity, feeding, and sleep-like states - in the long-term, using DeepLabCut, a supervised machine learning-based software for body keypoints labelling. Our system successfully labelled the six body parts of a single cricket with a high level of confidence and produced reliable data showing the diurnal rhythms of multiple behaviours. Our system also enabled the estimation of sleep-like states by focusing on posture, instead of immobility time, which is a conventional parameter. We anticipate that this system will provide an opportunity for simultaneous and automatic prediction of cricket behaviour and posture, facilitating the study of circadian rhythms.

A multidisciplinary investigation of a mummified Egyptian head and analysis of its associated resinous material from the Salinas Regional Archaeological Museum in Palermo (Sicily)

Among the 70 items donated by the abbot Antonio Pietro Paternostro to the former National Museum of Palermo (now Salinas Regional Archaeological Museum) in 1870, an ancient Egyptian mummified human head stands out. In 2022 the finding was submitted for a multidisciplinary investigation that relied upon non-invasive or minimally invasive approaches. Investigations revealed that this is a possible female head, which was likely subjected to trans-nasal craniotomy, and dated to the Egyptian Graeco-Roman period. The head was packed with an abundant amount of resin which was analysed using thermogravimetric analysis, infrared spectroscopy, and gas chromatography with mass spectrometry. The analysis suggested that the resin was most likely comprised of a natural resin, pitch, or tar, from the Pinaceae family of conifers, and mixed with other materials including a fat, oil, or wax. The use of multiple sample preparation techniques for the chromatographic analysis provided a high level of confidence in the identification of a wide variety of compounds, including a range of himachalene derivatives, which indicate the inclusion of cedar tar or oil.

Misconception between palliative care and euthanasia among Thai general practitioners: a cross-sectional study

BackgroundPalliative care lower medical expenses and enhances quality of life, but misconception with euthanasia delays timely care and makes inappropriate patient management.ObjectiveTo examine the magnitude of misconceptions between palliative care and euthanasia among Thai general practitioners, explore the association with knowledge, attitudes, and practical experience, and assess the association between misconception and confidence in practicing and referring patients to palliative care centers.MethodsAll 144 general practitioners who were going to start residency training at Maharaj Nakorn Chiang Mai Hospital in 2021 participated in this observational cross-sectional study. A chi-square test was utilized to examine the relationship between misconception and knowledge, attitude, practical experience, confidence to practice, and confidence to refer patients. Multivariable logistic regression was carried out while controlling for age, sex, knowledge, attitude, and experience to examine the relationship between misconception and confidence to practice and refer patients for palliative care. Statistical significance was defined at p < 0.05.ResultsAbout 41% of general physicians had misconceptions regarding palliative care and euthanasia. High knowledge was associated with a lower level of misconception (p = 0.01). The absence of misconceptions was weakly associated with a higher level of confidence in practicing palliative care, with an adjusted odds ratio of 1.51 (95% confidence interval 0.73 to 3.10, p = 0.07).ConclusionHigh misconception rates between palliative care and euthanasia among young Thai physicians might impact their confidence in delivering palliative care. Training initiatives for medical students and practitioners can mitigate misconceptions, fostering better palliative care utilization in Thailand.

Association between Periodontal Disease and Obesity: Umbrella Review.

Objective: Determine the association between periodontal disease (PD) and obesity through an umbrella review. Materials and Methods: A search for information until March 2024 was carried out in the following electronic databases: PubMed, Cochrane library, Scopus, SciELO, Web of Science, Google Scholar, Proquest Dissertations and Theses, and OpenGrey. We included studies that were systematic reviews (SR) with or without meta-analysis, without time or language restrictions, that evaluated primary studies that associated PD with obesity. Literary or narrative reviews, rapid reviews, intervention studies, observational studies, preclinical and basic research, summaries, comments, case reports, protocols, personal opinions, letters, and posters were excluded. The AMSTAR-2 tool was used to determine the quality and overall confidence of the included studies. Results: The preliminary search yielded a total of 419 articles, discarding those that did not meet the selection criteria, leaving only 14 articles. All studies reported that PD was associated with obesity, with an OR and RR ranging from 1.1 to 1.46 and 1.64 to 2.21, respectively. Conclusions: Based on the results and conclusions of the SR with a high overall confidence level, PD is associated with obesity.

Genetic dissection of green pod yield in dolichos bean, an orphan vegetable legume, using new molecular markers.

In the era of genomic-assisted breeding for crop improvement, developing new molecular markers and validating them for use in breeding programs are the prelude. Dolichos bean is one of the most important vegetable legume crops owing to its nutrient-rich green pods used as vegetables. Limitations in genomic resources, including molecular markers, restrict the accelerated improvement of the crop. In the present investigation, a set of 430 new simple sequence repeat markers was developed from sequence information of a reference variety. These markers included di- and tri-nucleotide repeats. The markers were assayed on an association panel, which was evaluated for green pod yield over 5years. A multi-locus model, FarmCPU, was used to assess the marker-trait association analysis. A total of 106 marker-trait associations were identified using an efficient mixed-model approach. Tri-nucleotide repeats were more informative and predominantly associated with trait. Among these markers, 17 were associated with a high level of significance. Markers LP-D-68 and LP-D-14 were identified with a high level of significance in 5-year pooled data and explained 12.70% and 12% of the phenotypic variance, respectively. These markers associated with a high level of confidence have significant scope for use in marker-assisted selection programmes. Other associated markers may be utilized for improving parents through marker-assisted recurrent selection or genomic selection programs.

Metrology infrastructure for high-pressure gas and liquified hydrogen flows. A brief outline of the MetHyInfra project, measurement challenges, and first results

This paper gives an overview of the ongoing Joint Research Project (JRP) 20IND11 “Metrology infrastructure for high pressure gas and liquefied hydrogen flows” (MetHyInfra), which will ensure traceability in the hydrogen distribution chain. For this purpose, very precise nozzles with well-defined geometries have been produced. In this project, Critical Flow Venturi Nozzles (CFVNs) will be traceably calibrated for the first time with hydrogen and pressures up to 100 MPa using a Coriolis Flow Meter (CFM) as a secondary standard. A CFM has been successfully calibrated with hydrogen against a gravimetric primary standard.Equations of State (EoS) are important for the high-pressure calibration of the nozzles, but also for Computational Fluid Dynamics (CFD) simulations. With regard to CFD, a numerical model has been developed to simulate high pressure hydrogen flow in the CFVN. In a parameter study, non-ideal nozzle shapes are investigated using a shape variation parameter. New Speed of Sound (SoS) measurements were conducted at temperatures from 273 to 323 K and pressures from 1 to 100 MPa. These new data were then used to develop a new EoS for normal hydrogen, optimized for gas phase calculations. In addition to gaseous hydrogen, the project has a strong focus on liquefied hydrogen. Here a three-pronged approach allows traceable measurements. Each of the approaches presented is based on a unique flow calibration principle and relies on independent traceability schemes. The results of the project will ensure traceable measurements and thus a higher level of confidence among end users.

Stacked Ranking Feature Cluster Machine Learning (Srfcml): A Novel Method of Career Planning of College Students Based on Career Interest Assessment and Machine Learning

Career interest assessment, powered by machine learning algorithms, revolutionizes the way individuals explore and align with career paths. By analyzing vast datasets encompassing factors such as skills, preferences, personality traits, and job market trends, machine learning models can provide personalized career recommendations tailored to individual strengths and aspirations. These algorithms leverage advanced techniques such as natural language processing (NLP) to interpret self-assessment responses and match them with suitable career options. Additionally, machine learning algorithms continuously refine their recommendations based on user feedback and real-world outcomes, ensuring accuracy and relevance over time. This paper presents a novel approach to career planning for college students, integrating career interest assessment with machine learning techniques, specifically utilizing the Stacked Ranking Feature Cluster Machine Learning (SRFcML) model. The proposed framework leverages large-scale datasets encompassing diverse factors such as academic performance, skills, interests, and industry trends to provide personalized career recommendations. Through the application of machine learning algorithms, including clustering and ranking techniques, the SRFcML model identifies relevant clusters of career options and ranks them based on individual preferences and aptitudes. This approach enables college students to explore and prioritize career paths aligned with their unique strengths and aspirations. Simualtion results demonstrated that the effectiveness of the proposed framework was evaluated, yielding promising numerical results. For instance, based on self-assessment responses and academic performance data, the SRFcML model achieved an average accuracy of 85% in recommending suitable career paths for college students. Furthermore, in a comparison with traditional career planning methods, the proposed framework demonstrated a 30% improvement in the alignment between recommended career options and students' preferences. Additionally, user satisfaction surveys revealed a high level of confidence and trust in the recommendations provided by the SRFcML model, with 90% of participants expressing satisfaction with the accuracy and relevance of the career suggestions.

Patient Perception of Preoperative Nutrition and Recovery After Orthopaedic Surgery

BackgroundMounting evidence supports the use of nutritional supplementation to improve patient outcomes. The intent of this study was to utilize an anonymous questionnaire to determine patients’ baseline knowledge, attitude, and belief regarding nutrition before total hip (THA) or total knee arthroplasty (TKA). MethodsAfter receiving Institutional Review Board approval, an anonymous questionnaire was administered to 300 patients, comprising 184 women (61.3%) and 116 men (38.6%), averaging 67 years (range, 39 to 89). There were 238 TKAs (79.3%), 12 revision TKAs (4%), 44 THAs (14.6%), and 6 revision THAs (2%). ResultsAlmost all (99.6%) subjects recognized the importance of preoperative nutrition. Most (83.0%) claimed that they knew what to eat preoperatively to optimize their surgical outcomes and expressed high levels of self-reported confidence (98.6%). Women were more likely to report having knowledge of preoperative nutrition (P = .05), and advanced education levels were linked to higher confidence (P = .002). Only 169 (56.3%) subjects reported knowing what supplements to take. When asked, 84% of subjects stated that they would purchase a nutrition program if recommended by their surgeon. Most studies show that an improved diet and appropriate supplementation can optimize nutritional status and potentially improve surgical outcomes. ConclusionsThe results of this study confirm that most patients do not know how to achieve optimal nutrition. Therefore, we believe there is a need for patient education on preoperative nutrition and its benefits.

NEGATIVE THOUGHTS AND SELF-CONFIDENCE AMONG ATHLETES WITH DIFFERENT SPORTS EXPERIENCES: A META-ANALYSIS

An athlete’s sporting experience is a factor associated with better-coping strategies and emotional regulation, especially concerning competitive anxiety and its symptoms. To verify whether more experienced athletes have lower rates of negativism and higher levels of self-confidence, we compared the means of these two variables between athletes with more and less experience. A meta-analysis was performed, following the PRISMA model. Seven articles were selected that measured, through the Competitive State Anxiety Inventory – 2 (CSAI-2 or its shortened version, CSAI-2R), the levels of self-confidence and negativism of high-performance athletes with different sports experiences. Significant statistical differences were found regarding the levels of negativism between athletes with more and less experience (p &lt; .001). The same occurred with the levels of self-confidence between athletes with more and less sports experience (&lt; .001). The results align with our initial hypothesis, formulated by Martens et al. (1990), that athletes with more experience would have higher self-confidence and lower negativism averages. One of the reasons may be using more effective coping strategies that are improved during the career years.

Pengaruh Opini, Reputasi KAP, COSO Framework, Laba, dan Struktur Modal terhadap Tingkat Kepercayaan Investor

This research aims to determine the effect of audit opinion, reputation of public accountant firms, the implementation of COSO framework, net income, and capital structure on the level of investor confidence. In this study, multiple linear regression analysis model was used to determine the effect between independent variables on the level of investor confidence, besides that, descriptive statistical analysis, classical assumption test, partial effect test, simultaneous effect test, and coefficient of determination test will also be carried out. The level of investor confidence will be described by the stock price of a company. The share price will take a number from the closing price on December 31 of each year. There were 4 samples of companies from the infrastructure, utilities, and transportation sectors and data obtained from 2011 to 2021 tested in this study. The four companies are AirAsia Indonesia Tbk, Leyand International Tbk, Steady Safe Tbk, and Garuda Indonesia Tbk. The results of the study indicate that the audit opinion variable, the application of the COSO Framework, net income, and capital structure can not be proven to have a partial influence on the level of investor confidence. However, the variable reputation of public accountant firms has a partial influence on the level of investor confidence. For the four independent variables themselves have a simultaneous influence on the investor confidence. A high level of investor confidence is coveted by all companies. The higher the investor's trust, the higher capital that can be used by the company for operational activities. Every company is flocking to increase its value in order to gain strong investor confidence. The components studied are audit opinion, KAP reputation, COSO Framework, net income, and capital structure on the level of investor confidence in the infrastructure, utilities and transportation industries. In this study, multiple linear regression analysis model was used to determine the effect between independent variables on the level of investor confidence, besides that, descriptive statistical analysis, classical assumption test, partial effect test, simultaneous effect test, and coefficient of determination test will also be carried out. The level of investor confidence described by the stock price of a company. The share price will take a number from the closing price on December 31 of each year. There were 4 samples of companies from infrastructure, utilities, and transportation sectors and data obtained from 2011 to 2021 tested in this study. The four companies are AirAsia Indonesia Tbk, Leyand International Tbk, Steady Safe Tbk, and Garuda Indonesia Tbk. The results of the study indicate that the audit opinion variable, COSO Framework, net income, and capital structure can not be proven to have a partial influence on the level of investor confidence. However, the variable KAP reputation has a partial influence on the level of investor confidence. For the four independent variables themselves have simultaneous influence on the investor confidence.

Yeast Diversity in Honey and Pollen Samples from Stingless Bees in the State of Bahia, Brazil: Use of the MALDI-TOF MS/Genbank Proteomic Technique.

(1) Background: The identification of microorganisms includes traditional biochemical methods, molecular biology methods evaluating the conserved regions of rRNA, and the molecular biology of proteins (proteomics), such as MALDI-TOF MS mass spectrometry. This work aimed to identify the biodiversity of yeasts associated with stingless bee species' honey and pollen, Melipona scutellaris, Nannotrigona testaceicornes, and Tetragonisca angustula, from the region of São Gonçalo dos Campos-Bahia (BA) state, Brazil. (2) Methods: Cellular proteins were extracted from 2837 microbial isolates (pollen and honey) and identified via MALDI-TOF MS. The identified yeast species were also compared to the mass spectra of taxonomically well-characterized reference strains, available from the National Center of Biotechnology Information (NCBI) database. (3) Results: Nine yeast species were identified: Candida maltosa, Candida norvegica, Kazachstania telluris, Schizosaccharomyces pombe, Scheffersomyces insectosus, Meyerozyma guilliermondii, Brettanomyces bruxellensis, Kazachstania exigua, and Starmerella lactis-condensi. Nannotrigona testaceicornes pollen had the highest number of yeast colonies. The yeasts Brettanomyces bruxellensis and Kazachstania telluris showed high populations in the samples of Nannotrigona testaceicornes and Melipona scutellaris, respectively. This work shows that there is some sharing of the same species of yeast between honey and pollen from the same beehive. (4) Conclusions: A total of 71.84% of the identified species present a high level of confidence at the species level. Eight yeast species (Candida maltosa, Candida norvegica, Kazachstania telluris, Schizosaccharomyces pombe, Scheffersomyces insectosus, Meyerozyma guilliermondii, Kazachstania exigua, and Starmerella lactis-condensi) were found for the first time in the samples that the authors inspected. This contributes to the construction of new knowledge about the diversity of yeasts associated with stingless bee products, as well as to the possibility of the biotechnological application of some yeast species.