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One of the most widely used measures of scientific impact is the number of citations. However, due to its heavy-tailed distribution, citations are fundamentally difficult to predict but can be improved. This study was aimed at investigating the factors and parts influencing the citation number of a scientific paper in the otology field. Therefore, this work proposes a new solution that utilizes machine learning and natural language processing to process English text and provides a paper citation as the predicted results. Different algorithms are implemented in this solution, such as linear regression, boosted decision tree, decision forest, and neural networks. The application of neural network regression revealed that papers' abstracts have more influence on the citation numbers of otological articles. This new solution has been developed in visual programming using Microsoft Azure machine learning at the back end and Programming Without Coding Technology at the front end. We recommend using machine learning models to improve the abstracts of research articles to get more citations. [ABSTRACT FROM AUTHOR]

Objectives. To evaluate the usefulness of a novel acoustic uroflowmetry- (UFM-) based mobile application (app) voiding diary (VD) focusing on the (1) compliance and (2) correlation with a conventional paper-based VD. Materials and Methods. A total of 78 patients were included between December 2019 and June 2020, and a subsequent review of all data was performed. The analyzed data were as follows: (1) survey of convenience/satisfaction/preference comparing the two methods, (2) compliance regarding the completeness of both methods, and (3) correlation of each metric (24-hour urine volume, nocturnal urine volume, nocturnal polyuria index, total number of voids, number of daytime voids, number of nocturnal voids, and maximal bladder capacity) between the two methods. Results. The survey results of convenience, satisfaction, and preference were as follows. With regard to convenience and satisfaction area, higher scores are reported in the mobile app VD (mean ± standard deviation (SD); convenience: 7.47 ± 2.19 [app] vs. 4.20 ± 2.49 [paper]; satisfaction: 7.36 ± 2.17 [app] vs. 5.07 ± 2.65 [paper]). The median score of the overall preference for using the mobile app instead of the paper-based VD was 9 out of 10 (mean ± SD 7.82 ± 2.68). We also found a good correlation between the two methods for nocturnal urine volume (r = 0.55 , p = 0.04), nocturnal polyuria index (r = 0.66 , p = 0.23), total number of voids (r = 0.9 , p = 0.02), number of nocturnal voids (r = 0.83 , p = 0.02), and maximal bladder capacity (r = 0.89 , p = 0.04). Conclusion. The acoustic UFM-based mobile app VD demonstrated favorable findings compared to the conventional paper-based VD. [ABSTRACT FROM AUTHOR]

The paper mulberry (Broussonetia papyrifera) leaf is rich in alkaloids and flavonoids, which has high medicinal and feeding value. We aimed to analyze the effects of B. papyrifera leaf extract on growth performance, antioxidant capacity, immune functions, and fecal microflora of weaned piglets. Thirty healthy, 28-day-old piglets were randomly assigned to three groups and fed with a basal diet supplemented with 0, 150, and 300 g/t B. papyrifera leaf extract for 42 days (control group, group I, and group II) separately. The result revealed that the final weight of piglets in group II was higher than the other groups, and the diarrhea rate in this group was 62.9% lower than in the control group. The feed conversion ratio in group I was significantly lower than the other two groups. Higher blood urine nitrogen concentration was noted in group II, higher glutathione peroxidase and catalase in group II, higher superoxide dismutase in the control group, and higher immune globulins (Ig) IgG, IgA, and IgM in group II. There was no significant difference in community richness and community diversity among the three groups of fecal samples. The relative level of Roseburia was higher in groups I and II, while Lactobacillus was higher in the control group. In conclusion, supplementation with B. papyrifera leaf extract at a certain dosage can increase growth performance and antioxidant capacity of weaned piglets, reduce the occurrence of diarrhea, enhance immune functions and disease resistance, and affect the composition of fecal microflora. [ABSTRACT FROM AUTHOR]

Background. This article aims to analyze the research status of integrative complementary medicine (ICM) and features of highly cited papers in the field to provide reference of the future development of ICM. Methods. Publications in the field of ICM from 2009 to 2018 were retrieved from the Web of Science Core Collection. The top 20 countries/territories, institutions, journals, keywords of highly cited and noncited papers, and characteristics of essential science indicator (ESI) papers, as well as open access (OA) and non-OA papers, were analyzed. Results. Mainland China had the largest number of ICM publications. The top 20 journals published a total of 31667 papers in 2009–2018, which represented 92.9% of all publications. Keywords of highly cited and noncited papers point to different research directions. 48 ESI highly cited/hot papers were identified, most of which are related to phytochemistry. Furthermore, the average citation rate (percentage of publications that have been cited one or more times) of OA papers was lower than that of total papers and non-OA papers. Conclusions. China leads in number of publications; however, publication quality in ICM field requires improvement. A few journals accounted for more than half of number of publications and citations, which are important for the development of ICM. Many of the keywords in ICM noncited publications pointed towards broad meaning that poorly reflect the exact research content. Most highly cited ICM studies focused on the identification and evaluation of plant active components. OA may not be an effective approach to increase paper citations in the field of ICM. [ABSTRACT FROM AUTHOR]

Domestic abuse is a worldwide public health and social issue which impacts the health and wellbeing of those experiencing abuse and their families. People living with a life-limiting illness are at increased risk of domestic abuse because they are often frail, isolated, and dependent on others. Little is known about domestic abuse and the coexistence of life-limiting illness and existing support for those experiencing or at risk of abuse. A scoping review was conducted to identify factors that shape and characterise experiences of adults with a life-limiting illness affected by domestic abuse and the health and social care practitioners and other organisations that support them. The Joanna Briggs Institute (JBI) methodology and checklist for Preferred Reporting Items for Systematic Reviews and Meta Analyses-Extension for Scoping Reviews (PRISMA-ScR) were applied. Five databases were systematically searched from 2000 to 2021: MEDLINE; CINAHL; PsycINFO; Social Sciences Citation Index (Web of Science); and ProQuest Dissertations and Global. Twenty-one papers met the inclusion criteria. Most studies were conducted in North America, with female participants living with cancer, and conducted in health and community settings. There were no studies involving third sector organisations. A range of abusive behaviours was reported resulting in missed medical appointments, delays in screening leading to late diagnosis, and palliative rather than curable treatment. Abuse also impacted on the physical, emotional, and psychological wellbeing of the person experiencing the abuse, which increased stress levels and could have a detrimental effect on their health. Identifying domestic abuse within the context of life-limiting illness was reported to be challenging for health and social care professionals, as was responding to and managing a disclosure. Further research is needed to address existing knowledge in order to inform policy and practice to identify and manage domestic abuse where it coexists with life-limiting illness. [ABSTRACT FROM AUTHOR]

Aims. Baccalaureate nursing students often enter nursing programs with varying degrees of writing skills. The use of formative assessment can provide students and faculty with information to act upon during a course and improve learning. This study aimed to test the use of a program-level written communication rubric as a formative assessment to be able to provide targeted interventions for improvement as part of curricular evaluation. Methods. A written communication rubric (14 criteria with scores ranging from 1–4) was applied twice during the semester to assess the writing assignments of 33 undergraduate nursing students enrolled in a nursing research course. A targeted intervention was designed and implemented based on deficient aggregate assessment results from the first student assignment. Results. Paired t-test analysis demonstrated a significant upward change in student performance in the second student assignment for all seven of the targeted competency scores (all p < 0.05). Conclusions. The use of a program-level rubric as a formative assessment paired with a targeted intervention improved the writing skills of nursing students during a single semester. By harnessing the tools of online learning management systems, faculty can quickly identify specific challenges for students in academic writing. There is potential for formative assessment to be used by faculty and students to direct the ongoing development of writing skills both during a course and throughout the program of study. [ABSTRACT FROM AUTHOR]

In recent years, with the acceleration of urbanization and the implementation of compulsory education, the pressure on students' study and life has increased, and the phenomenon of psychological and behavioral problems has become increasingly prominent. Therefore, the school has regarded students' mental health education as the top priority in teaching work. Effective expression classification can assist psychology researchers to study psychology and other disciplines and analyze children's psychological activities and mental states by classifying expressions, thereby reducing the occurrence of psychological behavior problems. Most of the current mainstream methods focus on the exploration of text explicit features and the optimization of representation models, and few works pay attention to deeper language expressions. Metaphors, as language expressions often used in daily life, are closely related to an individual's emotion, cognition, and psychological state. This paper studies children's smiling face recognition based on deep neural network. In order to obtain a better identification effect of mental health problems of children, this paper attempts to use multisource data, including consumption data, access control data, network logs, and grade data, and proposes a multisource data-based mental health problem identification algorithm. The main research focus is feature extraction, trying to use one-dimensional convolutional neural network (1D-CNN) to mine students' online patterns from online behavior sequences, calculate abnormal scores based on students' consumption data in the cafeteria, and describe the dietary differences among students. At the same time, this paper uses the students' psychological state data provided by the psychological center as a label to improve the deficiencies caused by the questionnaire. This paper uses the training set to train five common classification algorithms, evaluates them through the validation set, and selects the best classifier as our algorithm and uses it to identify students with mental health problems in the test set. The experimental results show that precision reaches 0.68, recall reaches 0.56, and F 1 -measure reaches 0.67. [ABSTRACT FROM AUTHOR]

Listening effort (LE) describes the cognitive resources needed to process an auditory message. Our understanding of this notion remains in its infancy, hindering our ability to appreciate how it impacts individuals with hearing impairment effectively. Despite the myriad of proposed measurement tools, a validated method remains elusive. This is complicated by the seeming lack of association between tools demonstrated via correlational analyses. This review aims to systematically review the literature relating to the correlational analyses between different measures of LE. Five databases were used-PubMed, Cochrane, EMBASE, PsychINFO, and CINAHL. The quality of the evidence was assessed using the GRADE criteria and risk of bias with ROBINS-I/GRADE tools. Each statistically significant analysis was classified using an approved system for medical correlations. The final analyses included 48 papers, equating to 274 correlational analyses, of which 99 reached statistical significance (36.1%). Within these results, the most prevalent classifications were poor or fair. Moreover, when moderate or very strong correlations were observed, they tended to be dependent on experimental conditions. The quality of evidence was graded as very low. These results show that measures of LE are poorly correlated and supports the multi-dimensional concept of LE. The lack of association may be explained by considering where each measure operates along the effort perception pathway. Moreover, the fragility of significant correlations to specific conditions further diminishes the hope of finding an all-encompassing tool. Therefore, it may be prudent to focus on capturing the consequences of LE rather than the notion itself. [ABSTRACT FROM AUTHOR]

Background. Colorectal cancer (CRC) is one of the most common cancers in the world, identification of biomarkers for early detection of CRC represents a relevant target. The present study aims to determine serum peptidome patterns for CRC diagnosis. Methods. The present work focused on serum proteomic analysis of 32 health volunteers and 38 CRC by ClinProt Kit combined with mass spectrometry. This approach allowed the construction of a peptide patterns able to differentiate the studied populations. An independent group of serum (including 33 health volunteers, 34 CRC, 16 colorectal adenoma, 36 esophageal carcinoma, and 31 gastric carcinoma samples) was used to verify the diagnostic and differential diagnostic capability of the peptidome patterns blindly. An immunoassaymethod was used to determine serumCEA of CRC and controls. Results. A quick classifier algorithm was used to construct the peptidome patterns for identification of CRC from controls. Two of the identified peaks at m/z 741 and 7772 were used to construct peptidome patterns, achieving an accuracy close to 100% (>CEA, P < 0.05). Furthermore, the peptidome patterns could differentiate validation group with high accuracy. Conclusions. These results suggest that the ClinProt Kit combined with mass spectrometry yields significantly higher accuracy for the diagnosis and differential diagnosis of CRC. [ABSTRACT FROM AUTHOR]

The last three census data highlighted that UK Bangladeshi communities have the worst health outcomes. This includes a higher risk of type two diabetes and heart diseases; both are risk factors for developing vascular dementia. However, little is known about Bangladeshi community members' understandings of dementia, including cultural myths. This paper focuses on the cultural myths, superstitions, and stigma surrounding dementia in an English Bangladeshi community from the direct experiences of people living with dementia, their caregivers, and the views of dementia service providers/stakeholders. This qualitative research was undertaken with three distinct participant groups using semistructured interviews (n = 25), who were recruited from community settings. The first and second participant groups explored the experiences of people with dementia (n = 10) and their family caregivers (n = 10). The third group examined stakeholders'/service providers' views (n = 5). Interviews were recorded digitally and transcribed verbatim. Findings were reached using an interpretive approach, emphasising the sense people make in their own lives and experiences and how they frame and understand dementia. The study revealed that participants with dementia and their caregivers have "alternative" knowledge about dementia and do not necessarily understand dementia in a Westernised scientific/biomedical context. Misconceptions about dementia and belief in various myths and superstitions can lead people to go to spiritual healers or practice traditional remedies rather than to their GPs, delaying their dementia diagnosis. This paper concludes that there is a lack of awareness among the Bangladeshi participants and a need for targeted awareness about dementia to help dispel cultural myths and combat the stigma surrounding dementia within the Bangladeshi community. [ABSTRACT FROM AUTHOR]

Background. The deterministic fiber tracking method has the advantage of high computational efficiency and good repeatability, making it suitable for the noninvasive estimation of brain structural connectivity in clinical fields. To address the issue of the current classical deterministic method tending to deviate in the tracking direction in the region of crossing fiber region, in this paper, we propose an adaptive correction-based deterministic white matter fiber tracking method, named FTACTD. Methods. The proposed FTACTD method can accurately track white matter fibers by adaptively adjusting the deflection direction strategy based on the tensor matrix and the input fiber direction of adjacent voxels. The degree of correction direction changes adaptively according to the shape of the diffusion tensor, mimicking the actual tracking deflection angle and direction. Furthermore, both forward and reverse tracking techniques are employed to track the entire fiber. The effectiveness of the proposed method is validated and quantified using both simulated and real brain datasets. Various indicators such as invalid bundles (IB), valid bundles (VB), invalid connections (IC), no connections (NC), and valid connections (VC) are utilized to assess the performance of the proposed method on simulated data and real diffusion-weighted imaging (DWI) data. Results. The experimental results of the simulated data show that the FTACTD method tracks outperform existing methods, achieving the highest number of VB with a total of 13 bundles. Additionally, it identifies the least number of incorrect fiber bundles, with only 32 bundles identified as wrong. Compared to the FACT method, the FTACTD method reduces the number of NC by 36.38%. In terms of VC, the FTACTD method surpasses even the best performing SD_Stream method among deterministic methods by 1.64%. Extensive in vivo experiments demonstrate the superiority of the proposed method in terms of tracking more accurate and complete fiber paths, resulting in improved continuity. Conclusion. The FTACTD method proposed in this study indicates superior tracking results and provides a methodological basis for the investigating, diagnosis, and treatment of brain disorders associated with white matter fiber deficits and abnormalities. [ABSTRACT FROM AUTHOR]

Introduction. The wide variety of methods for recording occlusal contacts and the contradictory data on the interpretation of the obtained markings provoked us to make a comparative laboratory study between different occlusal indicators. Purpose. Evaluation of a qualitative and quantitative method for registration of occlusal contacts in static occlusion in laboratory conditions. Materials and Methods. In completion of the objective, we designed an apparatus for registration of the occlusal contacts (AROC) in static occlusion which is used, corresponding to the MIP in clinical conditions. The occlusal indicators that were included in the study were articulating paper 100 μ, articulating foil 12 μ, and T-Scan Novus system with a sensor thickness of 100 μ. The collected primary statistical information was entered and processed with the statistical package SPSS Statistics 19.0, and the graphs were prepared using Microsoft Office 2019. We performed descriptive statistical analysis in this study. Comparisons were performed using one-way analysis of variance (ANOVA), Student's t -test, and Pearson coefficient method. For a significance level, p < 0.05 was chosen. Result and Discussion. With quality occlusal indicators, it is possible only to visually determine the size, number, and intensity of the marked contacts. After the statistical processing of the obtained data on the number of registered contacts, a significant difference is found in the number of contacts of certain teeth (18, 24, 25, 28, 38, 35, 34, 33, 44, 45, and 48) registered with articulating paper and articulating foil. The maximum force that is reported during the study with the T-Scan system is 93.72% and the forces in the right half of the dentition are 51.7% and in the left 48.9%. To visualize the location of the registered occlusal contacts with the system, it is intraoral to use a quality indicator and we recommend the use of articulating foil. Conclusion. Based on findings from the current in vitro simulation, we can conclude that the type of occlusal indicator influences the registration of contacts, and therefore, we propose as a method of choice to achieve a balanced occlusion in clinical practice to combine the use of one conventional and one quantitative method. [ABSTRACT FROM AUTHOR]

Introduction. Ethiopia has made significant efforts to enhance family planning services despite variations in the community's use of modern contraception in different parts of the country. Various studies have reported the proportion and determinant factors of adolescents' contraceptive uptake in Ethiopia. These studies are not consistent in terms of size, scope, and geographic coverage, and the results need to be systematically collated to inform policies. Therefore, this review was aimed at analyzing the findings of those primary studies to obtain more representative evidence of adolescents' contraceptive uptake in Ethiopia. Methods. Five databases (MEDLINE via PubMed, Google Scholar, Scopus, ScienceDirect, and CINAHL) were searched for papers published from January 2000 up to June 2022 in English. Of thirty eligible studies, eight papers were included in this meta-analysis. Between-study heterogeneity was evaluated by the forest plot and inconsistency index ( I 2 ). A random-effects model was used to calculate the pooled estimates of adolescents' contraceptive uptake. Results. The overall pooled proportion of adolescents' contraceptive uptake was 40% ( I 2 = 99.70 , p ≤ 0.001 ; 95 % CI = 19 , 61). Adolescents' usage of contraception was influenced by a number of factors: individual-, sociocultural-, knowledge- (about contraceptive methods), and healthcare service-related factors. Individual-related factors include the educational status of adolescents, being of young age, and the income status of adolescents' families. Sociocultural-related factors comprise discussion with the family/relatives, parent disapproval and pressure from partners, and being married or having a partner. Healthcare service-related factors include the availability of youth clubs and inconvenient service hours for SRH services. Knowing contraceptive methods and SRH services was also positively associated with adolescents' contraceptive utilization. Conclusions. The proportion of adolescents who used contraception in Ethiopia was 40%. Adolescents' use of contraceptives was influenced by a variety of factors: individual-, sociocultural-, healthcare-, and knowledge-related factors. Hence, integrated interventions targeted at tackling barriers to contraceptive uptake may be helpful to improve adolescents' contraceptive utilization in Ethiopia. [ABSTRACT FROM AUTHOR]

This paper presents an in-depth study and analysis of the relevance of early childhood education to occupational psychotherapy using a virtual-assisted affective interaction approach. Starting from the educational theory of interactive cognitive psychology, the theoretical basis for parent-child picture book education for interactive learning is explored, as well as the theoretical development after the introduction of AR technology. Firstly, the analysis of young children's emotions involves massive image processing, and the use of cloud computing architecture leads to high latency, while young children's safety is a latency-sensitive service. Secondly, face recognition accuracy based on static images is not high due to problems such as inconspicuous facial features of toddlers and low-quality kindergarten surveillance videos. In this paper, a face identity correction model based on location features is proposed and the superiority of the model is demonstrated through experiments. Finally, this paper analyzes and mines the emotional data of young children. The level of kindergarten teachers' awareness of early childhood mental health education generally showed an upward trend as their titles rose, and there were significant differences in the seven dimensions of early childhood mental health, the purpose and meaning of early childhood mental health education, implementers, targets, content, pathways, and effects; significant differences existed between teachers of different kindergarten natures, and there were significant differences in the purpose and meaning of early childhood mental health education, implementers, targets, content, pathways, effects, and mental health education for young children. Therefore, this paper proposes a face identity correction model based on position information, which considers both the correlation between pixel values in the spatial domain and the correlation between frames in the temporal domain. This paper has developed an emotion analysis system for kindergartens and put it into use in kindergartens to meet the needs of monitoring the safety of young children and evaluating early childhood education and has received good feedback from users, demonstrating the effectiveness of the system. [ABSTRACT FROM AUTHOR]

Traditional English classroom teaching is difficult to meet the oral learning needs of most learners. Thanks to the continuous advancement of speech processing technology, computer-assisted language learning systems are becoming more intelligent, not only pointing out learners' pronunciation errors but also assessing their overall pronunciation level. Method. This paper uses the method of tree kernel function to measure the similarity of two ontology trees. According to the features of nodes in ontology tree, methods to calculate the external features and internal features of nodes are proposed, respectively. External features are mainly obtained by calculating the hierarchical centrality, node density, and node coverage of nodes in the ontology tree; internal features are mainly obtained by measuring the richness of internal information. According to the similarity of ontology tree and the external features and internal features of nodes, the calculation formula of structural comprehensive similarity is improved, and the features of ontology itself can be fully considered in the calculation. According to the difference of the structure, the weights of the corresponding features during the calculation are adjusted autonomously, so that the calculation results are closer to reality. In spectral image preprocessing, endpoint detection utilizes the harmonic characteristics presented by narrowband spectrograms with high frequency resolution and eliminates useless nonspeech segments by detecting the presence of voiced segments. When building the neural network model, four convolutional layers, two fully connected layers, and one softmax output layer were conceived, and dropout was used to randomly suspend the work of some neurons to avoid overfitting. Results/Discussion. Through the data analysis of mean and variance and verified by one-way analysis of variance, it proves that the sentiment evaluation method in this paper is effective. The traditional multiple linear regression method is not suitable for the corpus and application scenarios of this paper. This paper proposes a decision tree structure, which is similar to the overall scoring process of raters, and uses the Interactive Dicremiser version 3 (ID3) algorithm to build a comprehensive evaluation decision tree for pitch, rhythm, intonation, speech rate, and emotion indicators. It is proved by experiments that the accurate consistency rate of the human-machine evaluation in this paper is 93%, the adjacent consistency rate is 96%, and the Pearson correlation coefficient value of the human-machine evaluation results is 0.89. The data results prove that the evaluation method in this paper is credible. [ABSTRACT FROM AUTHOR]

People with dementia and their care partners report a lack of support, treatment, and information, fragmented services, and a lack of inclusion in decisions about their care. Care planning may address these issues; however, there is scarce literature on the process or benefits of care planning for people with dementia. This review describes the literature on care planning for community-dwelling people with dementia and their care partners. A systematic scoping methodology was followed to identify the research questions, identify relevant documents, select relevant documents, chart the data, and collate, summarise, and report the results. 31 full-text documents published between 2010 and May 2020 were identified and reviewed. Seven were guidelines, seven were expert opinion pieces, 11 were intervention studies, and six were descriptive studies. The topics and process of care planning varied depending on the service context (e.g., memory clinic, home care, and primary care). Care planning was presented as a component of case management in 15 papers. Six of the 11 intervention studies reported positive outcomes, one showed no improvement, and one did not evaluate outcomes for people with dementia or their care partners. Of the six with positive outcomes, four evaluated care planning in the context of care management. There is limited evidence that care planning alone improves outcomes for people with dementia and their care partners. It is unclear whether it may have benefits when combined with care management. [ABSTRACT FROM AUTHOR]

Purpose. This study aims to elucidate the gender gaps in the strategies for maintaining the social participation and interaction of older adults with people in a local community. Methods. The subjects were 130 older adults aged 65 years or older and independently living in their homes in Saitama, Saitama Prefecture, Japan. The authors conducted an anonymous questionnaire survey on paper and performed multiple regression analysis for men and women separately using the Lubben Social Network Scale-6 (LSNS-6) as the dependent variable. Results. Among the independent variables used for the analysis, those that significantly influenced LSNS-6 in men were social activities related to the daily life satisfaction of the elderly (SARDS). The independent variables that significantly influenced LSNS-6 in women were SARDS, sense of coherence-13 (SOC-13), and the number of family members living with the subjects. Discussion. Health promotion is not associated with interaction with people in men compared with women. [ABSTRACT FROM AUTHOR]

Objective. To analyze and evaluate the effectiveness of traditional Chinese medicine decoction (TCMD) in the treatment of cardiac neurosis (CN) complicated with depression and anxiety. Methods. Relevant literature on TCMD in the treatment of CN complicated with depression and anxiety was retrieved from Chinese and English databases, and the retrieved literature was included and excluded. The quality of the retrieved literature was evaluated according to the Cochrane system, and the meta-analysis was undertaken with RevMan5.3 software. Results. A total of 10 papers were included, including 686 patients and 349 patients in the treatment group (131 males and 218 females), and there were 337 cases in the control group (131 males and 206 females). The results of the meta-analysis showed that compared with the control group, TCMD could significantly improve palpitation (MD = 0.78, 95% CI = 0.55–1.01, P < 0.00001), chest tightness/chest pain (MD = 0.53, 95% CI = 0.10–0.97, P < 0.05), shortness of breath (MD = 0.60, 95% CI = 0.26–0.93, P = 0.0005), and TCM syndrome score (MD = 5.91, 95% CI = 4.32–7.49, P < 0.00001), reduce resting heart rate (MD = 13.21, 95% CI = 9.01–17.40, P < 0.00001), and could reduce psychological scale scores, such as Zung's self-rating Depression Scale (MD = 7.90, 95% CI = 4.98–10.83, P < 0.00001), Zung's self-rating Anxiety Scale (MD = 6.55, 95% CI = 4.25–8.86, P < 0.00001), Hamilton Depression Scale (MD = 4.46, 95% CI = 3.00–5.92, P < 0.00001), and Hamilton Anxiety Scale (MD = 3.35, 95% CI = 1.85–4.85, P < 0.0001). The differences were statistically significant. Tonic drugs were commonly used; Angelica sinensis, Poria cocos, Polygala tenuifolia, Wild jujube kernel, and Bupleurum were the most frequently used traditional Chinese medicines. Conclusion. TCMD mainly composed of tonic and tranquilizing herbs could significantly improve the clinical symptoms of patients with CN and reduce heart rate, anxiety, and depression scores. However, the evidence grade of the clinical research was limited by the quality of the included literature, and more high-quality clinical trials are still needed for further verification. This trial was registered with PROSPERO: CRD42022312164 [ABSTRACT FROM AUTHOR]

Although medical events in lung cancer screening (LCS) such as receiving scan results or interactions with clinicians are recognised as teachable moments (TMs), the views of patients about why this is the case for smoking behaviour change remain uncertain. This systematic review and metasynthesis study is aimed at identifying the reasons why patients believed that medical events during LCS act as TMs for smoking behaviour change. A search strategy was developed for use with MEDLINE, PsycINFO, EMBASE, CINAHL-P, Web of Science databases, and Google Scholar. This helped identify qualitative and mixed-method research which mentioned patients' views of how these TMs result in smoking behaviour change. After screening, final articles were critically appraised; general characteristics and data relevant to the aims were extracted to conduct a line-of-argument metasynthesis. After screening 695 papers, 11 were included. Undergoing LCS scans was seen to act on their intrinsic motivation to reduce smoking as it served as a "wake-up call" and increased awareness of the health consequences of smoking. Receiving positive or negative LCS results resulted in cessation as it was a "health scare" and challenged smoking habits. Interactions with clinicians addressed misconceptions and signposted them to specialist cessation services. Attendees believed that the following encouraged them to change their smoking behaviour: having an intrinsic motivation to quit, their beliefs on smoking and health reframed, their negative emotions appraised, and using LCS to access specialist support. In line with the TM heuristic, these experiences provided the necessary skills, confidence, and motivation to quit. Future research should explore whether the views of the clinicians match those of the attendees to address misconceptions and further develop clinical guidelines. [ABSTRACT FROM AUTHOR]

Objective. This paper aims to systematically evaluate the intervention effect of mind-body exercise on cancer-related fatigue in breast cancer patients. Methods. Databases including PubMed, the Cochrane Library, Embase, Web of Science, CNKI, Wanfang Data, and SINOMED were retrieved to collect randomized controlled trials on the effects of mind-body exercise on relieving cancer-related fatigue in breast cancer patients. The retrieval period started from the founding date of each database to January 6, 2021. Cochrane bias risk assessment tools were used to evaluate the methodological quality assessment of the included literature, and RevMan 5.3 software was used for meta-analyses. Results. 17 pieces of researches in 16 papers were included with a total of 1133 patients. Compared with the control group, mind-body exercise can improve cancer-related fatigue in breast cancer patients. The combined effect size SMD = 0.59, 95% CI was [0.27, 0.92], p < 0.00001. Doing Tai Chi for over 40 minutes each time with an exercise cycle of ≤6 weeks can improve cancer-related fatigue in breast cancer patients more significantly. Sensitivity analysis shows that the combined effect results of the meta-analysis were relatively stable. Conclusion. Mind-body exercise can effectively improve cancer-related fatigue in breast cancer patients. [ABSTRACT FROM AUTHOR]

Predicting the polyproline type II (PPII) helix structure is crucial important in many research areas, such as the protein folding mechanisms, the drug targets, and the protein functions. However, many existing PPII helix prediction algorithms encode the protein sequence information in a single way, which causes the insufficient learning of protein sequence feature information. To improve the protein sequence encoding performance, this paper proposes a BERT-based PPII helix structure prediction algorithm (BERT-PPII), which learns the protein sequence information based on the BERT model. The BERT model's CLS vector can fairly fuse sample's each amino acid residue information. Thus, we utilize the CLS vector as the global feature to represent the sample's global contextual information. As the interactions among the protein chains' local amino acid residues have an important influence on the formation of PPII helix, we utilize the CNN to extract local amino acid residues' features which can further enhance the information expression of protein sequence samples. In this paper, we fuse the CLS vectors with CNN local features to improve the performance of predicting PPII structure. Compared to the state-of-the-art PPIIPRED method, the experimental results on the unbalanced dataset show that the proposed method improves the accuracy value by 1% on the strict dataset and 2% on the less strict dataset. Correspondingly, the results on the balanced dataset show that the AUCs of the proposed method are 0.826 on the strict dataset and 0.785 on less strict datasets, respectively. For the independent test set, the proposed method has the AUC value of 0.827 on the strict dataset and 0.783 on the less strict dataset. The above experimental results have proved that the proposed BERT-PPII method can achieve a superior performance of predicting the PPII helix. [ABSTRACT FROM AUTHOR]

This paper provides an in-depth study of occupational therapy and the prevention of common sports injuries in special physical training. The issue of sports injuries and rehabilitation has always been a hot topic in special training. With the continuous development of sports, the increasing intensity of competition, and more stringent requirements for special techniques, the increase in difficulty and intensity of training has led to the increasing frequency of sports injuries, so how to prevent injuries in special physical training and rehabilitation and recovery of athletes after the injury is particularly important. Since the most common musculoskeletal injuries occur in the lower quadrant, this paper proposes a lower extremity functional test (LEFT) model as a means of identifying injury risk and guiding the implementation of training programs to prevent sports injuries. In this paper, a knee injury is used as an example, and an occupational therapy program of TCM physical therapy + aquatic rehabilitation is adopted for the already occurred sports injuries. Through interviews and clinical examinations of athletes, coaches, and medical personnel, this paper summarizes the sites, types, characteristics, and probability of occurrence of common sports injuries in special physical training. Experiments were conducted through clinical rehabilitation of common sports injuries with the addition of TCM manual massage. A series of effects of this modality on the rehabilitation of sports injuries were examined by monitoring physiological and biochemical indexes and by comparative analysis before and after testing physical function indexes using the Omega Wave system. Sports injuries are diverse. Traditional Chinese medicine physical therapy + water rehabilitation therapy is an effective physical therapy method. According to the relevant theories of traditional Chinese medicine treatment, diagnosis and treatment through meridians and related acupuncture points have significant curative effects. Traditional Chinese medicine, massage, and acupuncture have irreplaceable roles in the rehabilitation and treatment of sports injuries and can effectively improve and cure sports injuries. [ABSTRACT FROM AUTHOR]

Family's academic cognition influences the family's academic concept, rearing fashion, and academic participation. It is no longer solely associated to kid's bodily and intellectual development; however, additionally associated to household concord and social progress. With the development of the times, the complicated traits of training proceed to pose new challenges to parents. Exploring the composition and operation mechanism of family training decision-making cognition is envisioned to stop up the key to promote parents' orderly coaching participation and home university cooperation. However, the associated lookup of usual cognitive mannequin has terrible steadiness and prediction charge in focus results. This paper constructs a cognitive model of family training decision-making principally based totally on neural network. Through the assessment of relevant data, they have an effect of the cognitive model of family coaching decision-making mainly based totally on neural neighborhood evaluated from the accuracy, root suggest rectangular error RMSE, and AUC curve. The experimental effects exhibit that the prediction accuracy of the cognitive mannequin of household training decision-making primarily based on neural community is 15% greater than that of the standard model, and the cognitive balance of the mannequin is 8.2%. This paper demonstrates the effectiveness, feasibility, and practicability of the mannequin in realistic teaching. [ABSTRACT FROM AUTHOR]

With the continuous updating and advancement of artificial intelligence technology, it gradually begins to shine in various industries, especially playing an increasingly important role in incremental music teaching and assisted therapy systems. This study designs artificial intelligence models from the perspectives of attention mechanism, contextual information guidance, and distant dependencies combined with incremental music teaching for the segmentation of MS (multiple sclerosis) lesions and achieves the automatic and accurate segmentation of MS lesions through the multidimensional analysis of multimodal magnetic resonance imaging data, which provides a basis for physicians to quantitatively analyze MS lesions, thus assisting them in the diagnosis and treatment of MS. To address the highly variable characteristics of MS lesion location, size, number, and shape, this paper firstly designs a 3D context-guided module based on Kronecker convolution to integrate lesion information from different fields of view, starting from lesion contextual information capture. Then, a 3D spatial attention module is introduced to enhance the representation of lesion features in MRI images. The experiments in this paper confirm that the context-guided module, cross-dimensional cross-attention module, and multidimensional feature similarity module designed for the characteristics of MS lesions are effective, and the proposed attentional context U-Net and multidimensional cross-attention U-Net have greater advantages in the objective evaluation index of lesion segmentation, while being combined with the incremental music teaching approach to assist treatment, which provides a new idea for the intelligent assisted treatment approach. In this paper, from algorithm design to experimental validation, both in terms of accuracy, the operational difficulty of the experiment, consumption of arithmetic power, and time cost, the unique superiority of the artificial intelligence attention-based combined with incremental music teaching adjunctive therapy system proposed in this paper can be seen in the MS lesion segmentation task. [ABSTRACT FROM AUTHOR]

Objective. Improper management of employees' emotions has a great impact on work status and work efficiency, and emotional management has increasingly become a very important part of corporate human resource management. How to adjust the various emotions of employees, so that employees can work in a fuller and more passionate attitude, is a problem that enterprise managers need to consider. From the perspective of employees themselves, a good mood will also bring happiness and satisfaction to life and work. Only in this way can the company and the employees be satisfied with each other and continue to maintain the good development momentum of the company. Method. This paper proposes a new method of using virtual reality scenes to induce human emotions. Based on computer science and psychological cognitive science, a scene library of "virtual reality emotion induction system" is constructed. Emotion induction based on virtual reality scenes has better interactivity and generalization, as well as stronger immersion and user operability. Its emotional arousal is high, the data is reliable, and the interference of environmental factors in the induction process is weakened, and relatively objective emotional data can be obtained. The factors affecting the emotional management of the enterprise are investigated by means of a questionnaire survey, statistics and problems are found, and the objective problems existing in the emotional management work of the company are determined. According to the analysis, the problems are summarized, and it is believed that the company still has certain room for improvement and improvement potential in terms of corporate culture construction, emotional counseling system construction, and human resource career planning. In the research of this paper, through the combination of theory and practice, the enterprise's emotional management work has been comprehensively analyzed, and the practical problems existing in its emotional management work have been found through questionnaires. Results/Discussion. In the field of enterprise human resource management, emotion management is always an eternal topic worthy of our attention. But unfortunately, emotional management has not been given enough attention by managers. Most companies often think that emotions are their own business. Employees should self-regulate, control, and tolerate themselves. They should not bring personal emotions to work and even think that emotional work is unprofessional. This kind of misunderstanding has led to the fact that emotional management has not received due attention and affirmation in many enterprises. [ABSTRACT FROM AUTHOR]

Fourteen Ganoderma lucidum strains from different geographic regions were identified using ITS region sequencing. Based on the sequences obtained, the genomic relationship between the analyzed strains was determined. All G. lucidum strains were also genetically characterized using the AFLP technique. G. lucidum strains included in the analysis displayed an AFLP profile similarity level in the range from 9.6 to 33.9%. Biolog FF MicroPlates were applied to obtain data on utilization of 95 carbon sources and mitochondrial activity. The analysis allowed comparison of functional diversity of the fungal strains. The substrate utilization profiles for the isolates tested revealed a broad variability within the analyzed G. lucidum species and proved to be a good profiling technology for studying the diversity in fungi. Significant differences have been demonstrated in substrate richness values. Interestingly, the analysis of growth and biomass production also differentiated the strains based on the growth rate on the agar and sawdust substrate. In general, the mycelial growth on the sawdust substrate was more balanced and the fastest fungal growth was observed for GRE3 and FCL192. [ABSTRACT FROM AUTHOR]

This study showed the prevalence of human papillomavirus (HPV) variants as well as nucleotide changes within L1 gene and LCR of the HPV16, HPV31, and HPV58 found in cervical lesions of women from North-East Brazil. [ABSTRACT FROM AUTHOR]

Aiming at the current problem of insufficient extraction of small retinal blood vessels, we propose a retinal blood vessel segmentation algorithm that combines supervised learning and unsupervised learning algorithms. In this study, we use a multiscale matched filter with vessel enhancement capability and a U-Net model with a coding and decoding network structure. Three channels are used to extract vessel features separately, and finally, the segmentation results of the three channels are merged. The algorithm proposed in this paper has been verified and evaluated on the DRIVE, STARE, and CHASE_DB1 datasets. The experimental results show that the proposed algorithm can segment small blood vessels better than most other methods. We conclude that our algorithm has reached 0.8745, 0.8903, and 0.8916 on the three datasets in the sensitivity metric, respectively, which is nearly 0.1 higher than other existing methods. [ABSTRACT FROM AUTHOR]

Objective. This study aims to explore the influences of Tai Chi on the balance function and exercise capacity among stroke patients. Methods. Databases including PubMed, Embase, WOS (Web of Science), the Cochrane Library, CNKI (China National Knowledge Infrastructure), Wanfang Data, VIP (VIP database), and CBM (China Biology Medicine disc) were retrieved to gather the figures of randomized controlled trials on the balance function and exercise capacity among stroke patients. Then relevant data were input and analyzed in Review Manager 5.3. Results. Nineteen papers were included and analyzed in this study. According to the combined effect size, the balance function of stroke patients improved significantly: the Berg Balance Function Scale score [MD = 7.67, 95% CI (3.44, 11.90)]; standing and walking test scores [MD = 3.42, 95% CI (4.22, −2.63)]; gravity swing area [MD = 0.79, 95% CI (1.48, 0.10)]; and gravity swing speed [MD = −5.43, 95% CI (−7.79, 3.08)]. In addition, the exercise capacity improved significantly as well: the FMA (Fugl-Meyer Assessment Scale) scale score [MD = 4.15, 95% CI (1.68, 6.63)]. There are no significant influences or changes of other related results. Conclusions. Stroke patients are able to improve their balance functions and exercise capacities prominently when they do Tai Chi exercise once or twice a week and ≥5 times/week and >30 ≤ 60 min/time. [ABSTRACT FROM AUTHOR]

Background. Cancer diagnosis is a complex and multifaceted process that can be stressful and anxiety-provoking for patients. Evidence-based tools and information aids that can be used for guiding and supporting patients during cancer investigations and after diagnosis are limited. This paper presents a user-centred codesign project that aims to develop a cancer pathway support tool for patients, carers, and healthcare professionals. Method. A mixed-method codesign approach was used including prototype development (January–March 2022), three online codesign workshops (April–June 2022), one-to-one feedback, and beta testing informed by the standardised Theoretical Framework of Acceptability (TFA) questionnaire (July–October 2022). Nine individuals with lived experience of cancer contributed to the project and are referred to as codesigners. Results. The codesigners valued the potential importance of a tool that can be used by the patients and carers if they want specific information about cancer investigations, diagnosis, and treatment. The ability to select what they need as opposed to long leaflets and generating their own questions for the healthcare providers were highlighted as important aspects of improving patient care. The tool was collectively designed to provide clear definitions of the cancer care pathway and easily accessible links from trusted resources and includes practical information to minimise the burden that can be experienced from preparation for appointments and tests. Beta testing results with a small sample of potential users including patients, carers, and healthcare providers (n = 23) showed high acceptability of the guide (range = 7–35, mean = 28.52, and standard deviation = 3.88) based on the TFA questionnaire. Conclusion. A cancer pathway support tool called "Your Cancer Pathway Support Guide (YCPSG)" was developed as a result of an iterative codesign process aiming to improve patient experience and outcomes for people referred on a suspected cancer pathway or who have been diagnosed with cancer. The tool provides information and support in both digital and PDF formats. Further studies are needed to evaluate the potential impact of "Your Cancer Pathway Support Guide" on patient outcomes and experience and the wider system. [ABSTRACT FROM AUTHOR]

Anemia is a global public health problem, especially common among children in developing countries, which affects their physical and mental health development. However, there is currently a lack of research on the relationship between anemia and academic performance. The objective of this study was to explore the association between anemia and academic performance, and the possible factors mediating this association among Chinese children. The data for this study came from the baseline survey of the Chinese Education Panel Survey Elementary School Cohort. The cohort was conducted from September 2018 to June 2019 in 160 elementary schools, covering 20 provinces and 40 counties/districts throughout China. Paper-based questionnaires were used, completed by 4th grade students, parents, head teachers, main teachers, and principals. The data used included questionnaire responses, physical measurements, and academic performance of 17,695 students. Based on students' hemoglobin levels and school altitude data, we grouped them into anemia and nonanemia categories using WHO criteria. The anemia group had 1,154 individuals, while the nonanemia group had 16,541 individuals. An ordinary least squares regression and mediation effect analysis were conducted. Our findings found the prevalence of anemia was 6.52% among Chinese Grade 4 students. Students without anemia had a higher average test score for three academic subjects than students with anemia (P < 0.001); their test scores for Chinese, Mathematics, and English were also higher (P < 0.05). Multivariate regression analysis showed a negative association between anemia and average test scores as well as individual test scores for the three subjects. Mediation analysis found that anemia affected academic performance directly (P < 0.05), and indirectly by decreasing the cognition score (P < 0.05). The indirect effect was 19.9% of the total effect. Findings highlighted anemia affected academic performance both directly and indirectly. Nutrition-related interventions should be implemented to prevent a decrease in academic performance among students with anemia. [ABSTRACT FROM AUTHOR]

Objective. The health benefits of medical care services for older adults have been well known. This study aims to identify trajectories of medical care accessibility and their impacts on Chinese older adults' psychological well-being to enrich findings on health outcomes of medical care accessibility. Methods. This study included 2660 participants aged 65 years and older from the 2005–2018 Chinese Longitudinal Healthy Longevity Survey, and this paper used the latent class growth model to analyze the heterogeneous trajectories of medical care accessibility among Chinese older adults. Ordinary least squares (OLS) regression was also used to explore whether the trajectories of medical care accessibility impact the psychological well-being of Chinese older adults and its heterogeneity among different subgroups of older adults. Results. Three distinct trajectories of medical care accessibility "maintaining high accessibility" (n = 2230, 84.1%), "medium to high accessibility" (n = 222, 8.10%), and "high to low accessibility" (n = 208, 7.80%) were identified, respectively. Regression results show that older adults maintaining high accessibility to medical care reported well psychological well-being. This result was particularly evident among older adults in urban and eastern areas. Discussion. Our findings highlight the importance of maintaining high accessibility to medical care and reducing inequalities in the accessibility to medical care for increasing psychological well-being of Chinese older adults. [ABSTRACT FROM AUTHOR]

Nurses' turnover intention has increased since the COVID-19 pandemic. Emotional labor is reportedly high among nurses in Korea, and a positive psychological capital can help reduce turnover intention. This cross-sectional study investigated the factors influencing turnover intention in nurses during the COVID-19 pandemic. Survey data were collected from 155 nurses caring for patients with COVID-19 at a university hospital in South Korea in March 2022. Self-reported and paper-based questionnaires on emotional labor, positive psychological capital, and turnover intention were employed. The mean values for emotional labor, positive psychological capital, and turnover intention were 54.52/80, 58.03/90, and 38.92/50, respectively, and 77.8% of nurses reported planning to quit working. Turnover intention correlated with emotional labor (r = 0.17; p = 0.041) and had no significant relationship with positive psychological capital. Sex (β = 0.24; p = 0.003) and emotional labor (β = 0.18; p = 0.019) affected turnover intention, with 9% explanatory power. Female nurses caring for patients with COVID-19 had a higher turnover intention than male nurses. Finally, the higher the emotional labor of nurses caring for patients with COVID-19, the higher the turnover intention. To reduce the turnover intention of nurses, hospitals need to help them enhance their emotional labor and positive psychological capital by establishing measures such as emotional coaching programs or psychological capital interventions. [ABSTRACT FROM AUTHOR]

Social participation is positively related to mental health recovery and wellbeing, yet people with mental health problems are often socially isolated. This article investigates how social participation was incorporated into an Australian-integrated program that aimed to improve the wellbeing of people with chronic mental health needs. The data are from a longitudinal evaluation of the integrated program, including data linkage (5533 participants) and interviews (111). The paper uses concepts from the network perspective of social capital (bonding, bridging, linking, horizontal, and vertical) as lenses to re-examine the evaluation's findings about the consumers' social participation in life areas (social, leisure, and productive) facilitated by the program. This social capital perspective offers a lens to examine the breadth and intensity of participation experienced by the consumers taking part in the support program. The article adds to the literature about how service providers can improve social participation and therefore consumers' opportunities for recovery and wellbeing. The analyses found that the support increased people's social interaction and their capacity in the community. Their social interaction was mostly with other people in the service. Often their interactions in the community were only transactional. Few consumers participated in activities in productive life areas, and few of the activities promoted vertical social capital in social networks outside the service. The implications are that service providers need greater attention on facilitating a variety of social participation activities that can extend mental health consumers' horizontal and vertical social capital and so further contribute to their current and future recovery and wellbeing. [ABSTRACT FROM AUTHOR]

Background. Coronavirus disease (COVID-19) is an infectious illness that spreads widely over a short period of time and finally causes a pandemic. Unfortunately, the lack of radiologists, improper COVID-19 diagnosing procedures, and insufficient medical supplies have all played roles in these devastating losses of life. Deep learning (DL) could be used to detect and classify COVID-19 for potential image-based diagnosis. Materials and Methods. This paper proposes an improved deep convolutional neural network (IDConv-Net) to detect and classify COVID-19 using X-ray and computed tomography (CT) images. Before the training phase, preprocessing methods such as filtering, data normalization, classification variable encoding, and data augmentation were used in conjunction with the proposed IDConv-Net to increase the effectiveness of the detection and classification processes. To extract essential features, deep CNN is then employed. As a result, the suggested model can identify patterns and relationships crucial to the image classification task, resulting in more precise and useful diagnoses. Python and Keras (with TensorFlow as a backend) were used to carry out the experiment. Results. The proposed IDConv-Net was tested using chest X-rays and CT images collected from hospitals in Sao Paulo, Brazil, and online databases. After evaluating the model, the proposed IDConv-Net achieved an accuracy of 99.53% and 98.41% in training and testing for CT images and 97.49% and 96.99% in training and testing for X-ray images, respectively. Further, the area under the curve (AUC) value is 0.954 and 0.996 for X-ray and CT images, respectively, indicating the excellent performance of the proposed model. Conclusion. The findings of our proposed IDConv-Net model confirm that the model outperformed compared to existing COVID-19 detection and classification models. The IDConv-Net outperforms current state-of-the-art models by 2.25% for X-rays and 2.81% for CT images. Additionally, the IDConv-Net training approach is significantly quicker than the current transfer learning models. [ABSTRACT FROM AUTHOR]

Background. This is the first systematic review of the relationship between humeral shaft fractures and radial nerve palsy in children. The present comprehensive review is aimed at identifying important clinical findings between humeral diaphysis fractures and radial nerve injuries and assessing the effects of treatment. Methods. We searched electronic bibliographic databases, including PubMed, the Cochrane Library, Scopus, and Web of Knowledge, until March 2022. This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the patients, interventions, comparisons, outcomes guidelines. Results. We identified 23 original papers, of which 10 were eligible for further analysis. Cases of 32 young patients with radial nerve palsy were identified and analyzed. The prevalence of radial nerve palsy was 4.34% (eight cases out of 184 patients with humeral shaft fractures). The radial nerve was most often associated with a simple transverse fracture (12A3, 17 cases (65.4%)). Conclusions. Radial nerve injury in humeral shaft fractures in children is rare, with a frequency of 4.34%. We highly recommend early surgical nerve exploration with transverse fractures in the distal third segment combined with primary radial palsy. Furthermore, we recommend making thoughtful decisions regarding early nerve exploration in the Holstein–Lewis fractures. In addition, consideration of early surgical nerve exploration in fractures resulting from high-energy trauma and open fractures despite their morphology is recommended. [ABSTRACT FROM AUTHOR]

Background. The purpose of this study was a comprehensive review of studies on the effect of aromatherapy with plant essential oils on the improvement of some conditions, for example, anxiety, stress, sleep quality, fatigue, and pain in people with cardiovascular disease. Materials and Methods. We carried out this systematic review based on the instructions of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Ethical agreement was not necessary as main data have not been collected. During March 2022, we searched the main English databases, for example, Google Scholar, Web of Sciences, EMBASE, EBSCO, ScienceDirect, Scopus, and PubMed/MEDLINE, with limitation to human clinical trials. For this study, no time limit was applied for the publication of articles. Results. Out of 1380 papers, 52 papers up to March 2022 were eligible for review in this systematic review. Based on the obtained results, the most widely used medicinal plants for aromatherapy in patients with cardiovascular diseases were Lavandula angustifolia (lavender, 55.7%), Rosa damascena (Damask rose, 11.5%), and Mentha piperita (peppermint, 5.8%), respectively. Most studies have been performed on the effect of aromatherapy on coronary angiography (21 papers, 40.4%), followed by artery bypass graft surgery (14 studies, 26.9%), and cardiac patients (5 studies, 9.6%). Most studies on the effect of aromatherapy in cardiovascular diseases were performed on anxiety (31 papers, 59.6%), sleep quality (8 studies, 15.4%), and hemodynamic parameters (6 studies, 11.5%), respectively. Conclusion. This study systematically reviewed the effects of aromatherapy in patients with cardiovascular diseases. The review of studies showed that lavender, Damask rose, and peppermint are the most frequents plants used for aromatherapy, whereas they significantly improved some illnesses and conditions, especially anxiety and sleep quality. Therefore, it can be concluded that cardiologist can used aromatherapy as a natural complementary and alternative therapy particularly with lavender, Damask rose, and peppermint to improve quality of life and some conditions such as anxiety and sleep quality. [ABSTRACT FROM AUTHOR]

This paper constructs and applies a university student sports health management system through the theory of integrated regional collaborative medical care and distributed computing technology. Firstly, it analyzes the current situation and problems of cross-regional medical care, the root causes, and the corresponding business scenarios, reflecting the development trend of cross-regional medical care, in the light of the current practical needs of cross-regional medical care. In response to the strong demand for cross-regional medical care, this paper gives the overall design of the distributed computing system, for the deployment and architecture of the cross-regional platform; the registration of cross-regional patients, regional platforms, and health events and documents; and data exchange, service integration, and process integration, etc. The corresponding design is given. The research was conducted on several medical institutions to refine the functional requirements for the construction of the regional collaborative medical platform, and the requirements were analyzed to present the research results of the collaborative medical project. Based on this, requirements were made for the preparation of the project construction data center and medical institutions, and the remote consultation and two-way referral modules of the distributed collaborative medical platform were designed, which are processed and analyzed through a system composed of multiple servers. The results are returned to the user, and the design results were tested for functionality, compatibility, security, and other usability tests. The necessity and feasibility of the college physical health test data platform were analyzed. Students have various needs for physical test data management, the necessity of designing the college physical health test data platform, and the feasibility of the college physical health test data platform in terms of technical means, theoretical basis, and social environment. [ABSTRACT FROM AUTHOR]

Background. Missed nursing care adversely affects nurse and patient outcomes in healthcare settings. Comprehensive bibliometric overview of research output in this field is limited, which restricts knowledge of this complex phenomenon in terms of research trends, author's productivity, and thematic focus of scientific publications. This study aims to examine publications on missed nursing care by conducting a comprehensive bibliometric analysis. Methods. A search was performed in the Scopus database to identify 276 published studies on missed nursing care from inception to 20th February 2022. A bibliometric approach was used to comprehensively analyse retrieved publications based on trend, thematic focus, and scientific production. The R based software was used for data analysis. Results. The result from this bibliometric analysis indicates that the first study performed on the concept of missed nursing care was published in 2006. The United States of America (USA) ranked first in number of publications, and the study by Ball et al. published in 2014 was the most cited paper among the documents analysed. The results also identified names of prolific authors such as Kalisch B.J., Ausserhofer D., Willis E., Papastavrou E., Schubert M., Palese A., Simon M., and Aiken L. H. and relevant institutions in this field. Trending keywords identified included "missed nursing care," "unfinished nursing care," "patient safety," and "care left undone." In addition, thematic analysis showed emerging themes such as "neonatal intensive care unit," "patient satisfaction," "health resources," "failure to maintain," and "adverse events." Conclusion. Findings from this study reveal a lack of bibliometric analysis in missed nursing care research. This study provides significant contribution by presenting a comprehensive overview on thematic focus, hotspots studies, and directions for future research in this field. Findings from this study can guide scholars in defining research focus and aspects of research on missed nursing care for future exploration. [ABSTRACT FROM AUTHOR]

The clinical informatization of traditional Chinese medicine (TCM) focuses on serving users and assisting in diagnosis. The rules of clinical knowledge play an important role in improving the TCM informatization service. However, many rules are difficult to find because of the complexity of the data in the current TCM syndrome prediction. Therefore, we proposed an end-to-end model, called Decision-making System for the Diagnosis of Syndrome (DSDS), which is based on the knowledge graph (KG) of TCM. This paper introduces the link prediction for the diagnosis of syndrome by dismantling medical records into multiple symptoms. In addition, based on the symptoms and predicted syndromes, the most relevant syndrome could be determined by the scoring and voting method in this paper. The results show that the accuracy of DSDS is 80.6%. [ABSTRACT FROM AUTHOR]

The light field is an important way to record the spatial information of the target scene. The purpose of this paper is to obtain depth information through the processing of light field information and provide a basis for intelligent medical treatment. In this paper, we first design an attention module to extract the features of light field images and connect all the features as a feature map to generate an attention image. Then, the attention map is integrated with the convolution layer in the neural network in the form of weights to enhance the weight of the subaperture viewpoint, which is more meaningful for depth estimation. Finally, the obtained initial depth results were optimized. The experimental results show that the MSE, PSNR, and SSIM of the depth map obtained by this method are increased by about 13%, 10 dB, and 4%, respectively, in some scenarios with good performance. [ABSTRACT FROM AUTHOR]

Background. Research has shown that pressure in the vaginal birth process aids the infant's neurophysiological adaption to extrauterine life, including their ability to regulate their responses to diverse sensory stimuli. As pressure is absent in elective caesarean section births, we hypothesised that these children may be at higher risk for developing sensory hyperreactivity (SHR), a sensory modulation difficulty which negatively impacts on the child's engagement in their occupations. This paper reports on a study which investigated associations between birth method and SHR. Method. In this cross-sectional study, 91 children aged three and four years from various language, cultural, and socioeconomic groups were recruited and categorised based on birth method (caesarean section or vaginal birth). Caregivers of each child completed the Short Sensory Profile-2 and a demographic questionnaire. The prevalence of SHR between the birth method groups was compared. Results. The prevalence of SHR was greater in the vaginal birth group (29%) than the caesarean section group (9%). Mothers in the vaginal birth group were younger (p ≤ 0.001), of lower-income level (p = 0.003), and more likely to be single (p = 0.037). During data collection with the vaginal birth group, comprehensibility of certain items in the Short Sensory Profile-2 proved challenging for many caregivers. Conclusion. The statistically significant higher prevalence of SHR in the vaginal birth group supported a null hypothesis. However, the results are questioned due to the challenges related to data collection. Given this, the study supports the need for further investigation of how sociocultural and socioeconomic factors influence the assessment of SHR in the South African context. [ABSTRACT FROM AUTHOR]

Frequency-domain monaural speech enhancement has been extensively studied for over 60 years, and a great number of methods have been proposed and applied to many devices. In the last decade, monaural speech enhancement has made tremendous progress with the advent and development of deep learning, and performance using such methods has been greatly improved relative to traditional methods. This survey paper first provides a comprehensive overview of traditional and deep-learning methods for monaural speech enhancement in the frequency domain. The fundamental assumptions of each approach are then summarized and analyzed to clarify their limitations and advantages. A comprehensive evaluation of some typical methods was conducted using the WSJ + Deep Noise Suppression (DNS) challenge and Voice Bank + DEMAND datasets to give an intuitive and unified comparison. The benefits of monaural speech enhancement methods using objective metrics relevant for normal-hearing and hearing-impaired listeners were evaluated. The objective test results showed that compression of the input features was important for simulated normal-hearing listeners but not for simulated hearing-impaired listeners. Potential future research and development topics in monaural speech enhancement are suggested. [ABSTRACT FROM AUTHOR]

Background. Several studies identified that emotional intelligence skills are important indicators for nurse engagement and performance. Issues related to nursing performance in healthcare organizations have been gaining greater attention because they influence the effectiveness of improvement approaches to maintain high-quality care. This study aimed to investigate the relationships between emotional intelligence and nurses' work performance and work engagement. Methods. A quantitative, descriptive, correlational design was used to evaluate the relationships between the study variables. Data were gathered from 150 nurses working at Madinah Cardiac Center, Saudi Arabia. Three scales were used to measure the study variables which were Emotional Intelligence Scale, Job Performance Scale, and Utrecht Work Engagement Scale in addition to demographics. SPSS was used to analyze data. Results. The results of this study showed that emotional intelligence has a total mean of 3.77 (SD = 0.598), nurses' performance 3.65 (SD = 0.503), and work engagement 4.29 (SD = 1.04). The results also showed that there is a positive and significant relationship between emotional intelligence and nurses' work performance (R2 = 0.657, p < 0.001). Also, it was found that emotional intelligence has a positive and significant relationship with nurses' work engagement (R2 = 0.621, p < 0.001). Conclusions. This paper highlights the influence of emotional intelligence in nurses' improved performance and engagement in work. The field of nursing is associated with care and compassion; thus, it needs a high level of emotional intelligence. Nurses need to enhance their emotional intelligence skills by attending workshops. Nurse leaders also have a role in that by building a culture for nurses that is driven by applying emotional intelligence in the workplaces. [ABSTRACT FROM AUTHOR]

Aim. The objective was to investigate the impact of structural empowerment and demographic factors on the psychological empowerment of nurses. Background. The empowerment of nurses plays a crucial role in improving patient care and achieving successful healthcare outcomes. When nurses feel empowered in their work environment, they tend to remain dedicated to their jobs and experience higher levels of job satisfaction and engagement. Methods. This cross-sectional study utilized a convenience sample of 287 nurses recruited from various hospital units, resulting in a response rate of 94.7%. Data were collected through a paper survey consisting of three sections: structural empowerment, psychological empowerment, and demographics. Results. The first hierarchical regression explains 57.0% variance in nurses' psychological empowerment (F = 78.52, p < 0.001). Age (β = 0.37, p < 0.01) and structural empowerment (β = 0.69, p < 0.001) have a positive influence on nurses' psychological empowerment. Conversely, having a bachelor's degree (β = −0.16, p < 0.01) had a negative impact psychological empowerment. The second hierarchical regression clarifies the specific aspects of structural empowerment that influences positively on nurses' psychological empowerment: access to opportunities (β = 0.13, p < 0.01), support (β = 0.13, p < 0.01), resources (β = 0.35, p < 0.001), and informal power (β = 0.12, p < 0.01). Conclusion. This study emphasizes the importance of considering demographic variables, such as age and education, in conjunction with structural empowerment to effectively enhance nurses' psychological empowerment. Implications for Nursing Management. Nursing managers should tailor their empowerment strategies based on the demographic characteristics of their nurses. It is essential to focus on providing nurses with access to opportunities, support, resources, and informal power. These insights provide valuable guidance for nursing managers to enhance nurses' psychological well-being, job satisfaction, and overall quality of life. Ultimately, this contributes to positive outcomes for patients, nursing staff, and healthcare organizations. [ABSTRACT FROM AUTHOR]

This paper aims to establish strategies of coping with COVID-19 pandemic adopted by the clients of social assistance from the perspective of social workers. The qualitative research among Polish social workers and family assistants was conducted from September to November 2021. Based on 30 in-depth interviews with social work professionals, groups of social assistance clients' behaviours were identified and classified into the theoretical models of reactions to social change by Merton and Giddens. The following types of behaviour have been selected and categorized into four groups of reactions when dealing with social workers in a pandemic situation: coolheaded calculation, defiance, confusion, and adaptation. At the same time, reactions to the situation of social change were categorized into one of the strategies of active or passive behaviour: innovation, contestation, retreat, and acceptance. In addition, we discussed the impact of clients' coping strategies on social workers and established three attitudes of the surveyed social workers: adapting to the pandemic situation and customer behaviour, assuming the role of an emotional buffer and informant, and expecting support from superiors and coworkers. Knowing the behaviour of social assistance clients in a challenging situation makes it possible to adopt tailor-made measures. [ABSTRACT FROM AUTHOR]

Although individual factors play a vital role in determining professional autonomy, their specific impact during the coronavirus disease 2019 (COVID-19) pandemic has not been studied. This study aimed to compare nurses' professional autonomy when caring for patients with COVID-19 and for other patients and explore factors related to autonomy when caring for these patients. A paper-based questionnaire survey was conducted from June to August 2022 among nurses working at a university hospital in Japan. The survey included demographic factors (10 items, including, age, section, years of nursing experience, position, educational background, ladder level, and having certified nurse specialists or certified nurse qualifications) and individual experience factors (4 items: number of COVID-19 patients experienced, frequency and contents of searching for the latest information about COVID-19, frequency of using scientific sources, and frequency of training/study sessions on COVID-19 attended at the hospital). Additionally, basic knowledge of COVID-19 was evaluated. The scale for nurses' professional autonomy was developed based on a previous study. A paired t-test and stepwise multiple linear regression were used for the analyses. Overall, 241 nurses participated in the survey. The average length of nursing experience was 10.3 ± 9.2 years. The total scores for nurses' professional autonomy in all 5 factors 27 items were significantly lower (t = −12.1, p < 0.001) when caring for COVID-19 patients than when caring for other patients. Specifically, Factor 1 (Cognition) exhibited the most decreased scores when caring for COVID-19 patients than when caring for other patients. Factor 4 (Abstract judgment) differed the least between caring for COVID-19 and for other patients, but the average score was the lowest. More years of nursing experience (β = 0.208, p = 0.001) and a higher number of patients with COVID-19 cared for (β = 0.140, p = 0.026) were associated with higher autonomy scores. In conclusion, to enhance professional autonomy during an unprecedented pandemic, nurses must enhance cognition and abstract judgment. In the event of a future pandemic, nurses need to create an environment in which they routinely access and utilize the latest information and scientific evidence to provide high-quality nursing care based on their professional judgment and competence. [ABSTRACT FROM AUTHOR]

Vulnerable communities (including people from refugee, Indigenous, culturally and linguistically diverse, and low socioeconomic backgrounds) represent the most at-risk populations facing inequities and negative health, economic, and social outcomes. The recent COVID-19 pandemic both highlighted and fuelled these disparities. Community gardening has emerged as a community-based solution to address these inequities, yet the research literature has largely considered outcomes for the general population rather than those with the most need. This paper represents the first systematic review to summarise the evidence on the broad impact of community gardening on outcomes for vulnerable populations. A systematic search of 13 databases (PubMed, Medline, Scopus, ScienceDirect, Cumulative Index to Nursing and Allied Health Literature, PsycINFO, Web of Science, Academic Search Complete, Education Source, Education Resources Information Center, Psychology and Behavioral Science Collection, SocINDEX, and Allied Health and Complementary Medicine Database) for English language articles from 1985 to 2022 was conducted. There were 33 studies identified where females were substantially overrepresented in the studies compared to males, and the main criteria for vulnerability included low socioeconomic-status and culturally diverse populations. Findings revealed that community gardening provides a wide range of benefits for vulnerable populations, with social connection, health, education, and nutrition being the more commonly cited. A relative emphasis on benefits of social connections, education, and nutrition is apparent for vulnerable populations in comparison to reviews considering the general population. The quality of studies was evaluated as moderate with little information provided about program characteristics. These shortcomings reduce the understanding of what characteristics are most likely to result in improvements and limit the capacity of practitioners to translate research into policy and practice for vulnerable communities. [ABSTRACT FROM AUTHOR]

Objectives. To review the prevalence of loneliness (during/after COVID-19) in older people. Design. Scoping review using Medline and PsycInfo for worldwide prevalence estimates (white published literature search) and Google for prevalence data inside the Euregio Meuse-Rhine (grey literature). Setting. Worldwide prevalence estimates and a focus on the Euregio Meuse-Rhine. Participants. Papers published between 2016 and 2022 and a mean age of minimum of 65 years. Measurements. Prevalence estimates for older people. Results. The white literature search yielded 37 articles. Before the onset of the COVID-19 pandemic, loneliness estimates were the highest in Nigeria (46%) and the lowest in Australia (5%) (mean prevalence was 25.6%). Loneliness was reported to be higher in specific populations, for example, people living in specific communities such as senior housing communities or with impairments, than in the general population, with a mean prevalence estimate of 47.8%. During COVID-19, the prevalence of loneliness was higher than that before the pandemic: we observed a mean prevalence of 39.4%, in comparison to 25.6 before COVID-19. The grey literature search showed that, compared to Belgium and the Netherlands (13.5% and 36.5%, respectively), loneliness estimates were the lowest in Germany, with a mean prevalence of 7.7%. Conclusion. Large international differences in the prevalence of loneliness were observed between countries and populations studied. Several hypotheses could explain such differences, including sociocultural or historical-political characteristics. Without surprise, the pandemic and associated measures were linked to a higher level of loneliness. Furthermore, recommendations for addressing loneliness, including interventions, are discussed. [ABSTRACT FROM AUTHOR]