bluuebunny/crossref_metadata_2025 huggingface dataset:
Morphological changes in the cerebellum during aging: evidence from convolutional neural networks and shape analysis
Authors: Wang Yu , Teng Ye , Liu Tianci , Tang Yuchun , Liang Wenjia , Wang Wenjun , Li Zhuoran , Xia Qing , Xu Feifei , Liu Shuwei
Published: April 2024

The morphology and function of the cerebellum are associated with various developmental disorders and healthy aging. Changes in cerebellar morphology during the aging process have been extensively investigated, with most studies focusing on changes in cerebellar regional volume. The volumetric method has been used to quantitatively demonstrate the decrease in the cerebellar volume with age, but it has certain limitations in visually presenting the morphological changes of cerebellar atrophy from a three-dimensional perspective. Thus, we comprehensively described cerebellar morphological changes during aging through volume measurements of subregions and shape analysis. This study included 553 healthy participants aged 20–80 years. A novel cerebellar localized segmentation algorithm based on convolutional neural networks was utilized to analyze the volume of subregions, followed by shape analysis for localized atrophy assessment based on the cerebellar thickness. The results indicated that out of the 28 subregions in the absolute volume of the cerebellum, 15 exhibited significant aging trends, and 16 exhibited significant sex differences. Regarding the analysis of relative volume, only 11 out of the 28 subregions of the cerebellum exhibited significant aging trends, and 4 exhibited significant sex differences. The results of the shape analysis revealed region-specific atrophy of the cerebellum with increasing age. Regions displaying more significant atrophy were predominantly located in the vermis, the lateral portions of bilateral cerebellar hemispheres, lobules I-III, and the medial portions of the posterior lobe. This atrophy differed between sexes. Men exhibited slightly more severe atrophy than women in most of the cerebellar regions. Our study provides a comprehensive perspective for observing cerebellar atrophy during the aging process.
Upper limb motor assessment for stroke with force, muscle activation and interhemispheric balance indices based on sEMG and fNIRS
Authors: Ye Sijia , Tao Liang , Gong Shuang , Ma Yehao , Wu Jiajia , Li Wanyi , Kang Jiliang , Tang Min , Zuo Guokun , Shi Changcheng
Published: April 2024

Introduction

Upper limb rehabilitation assessment plays a pivotal role in the recovery process of stroke patients. The current clinical assessment tools often rely on subjective judgments of healthcare professionals. Some existing research studies have utilized physiological signals for quantitative assessments. However, most studies used single index to assess the motor functions of upper limb. The fusion of surface electromyography (sEMG) and functional near-infrared spectroscopy (fNIRS) presents an innovative approach, offering simultaneous insights into the central and peripheral nervous systems.

Methods

We concurrently collected sEMG signals and brain hemodynamic signals during bilateral elbow flexion in 15 stroke patients with subacute and chronic stages and 15 healthy control subjects. The sEMG signals were analyzed to obtain muscle synergy based indexes including synergy stability index (SSI), closeness of individual vector (CV) and closeness of time profile (CT). The fNIRS signals were calculated to extract laterality index (LI).

Results

The primary findings were that CV, SSI and LI in posterior motor cortex (PMC) and primary motor cortex (M1) on the affected hemisphere of stroke patients were significantly lower than those in the control group (p < 0.05). Moreover, CV, SSI and LI in PMC were also significantly different between affected and unaffected upper limb movements (p < 0.05). Furthermore, a linear regression model was used to predict the value of the Fugl-Meyer score of upper limb (FMul) (R2 = 0.860, p < 0.001).

Discussion

This study established a linear regression model using force, CV, and LI features to predict FMul scale values, which suggests that the combination of force, sEMG and fNIRS hold promise as a novel method for assessing stroke rehabilitation.
Prevalence and influencing factors of malnutrition in stroke patients with bulbar paralysis: a cross-sectional study in China
Authors: Zeng Hongji , Liu Lianlian , Cai Ang , Zhao Weijia , Liu Yahui , Wang Liugen , Li Heping , Zeng Xi
Published: April 2024

Background

Although malnutrition has been shown to influence the clinical outcomes of Stroke Patients with Bulbar Paralysis (SPBP), the prevalence and influencing factors have yet to be uncovered.

Objective

This study aims to assess the current prevalence and factors associated with malnutrition in SPBP.

Methods

A multicenter cross-sectional investigation was conducted among SPBP in China from 2019 to 2021. Information was collected on basic information, health condition, diagnosis, treatment, neurological function, activities of daily living, swallowing function, and nutritional status. A multivariable logistic regression model was used to identify the factors that influenced nutritional status. ROC analysis was used to assess the predictive value of each independent influencing factor and the logit model.

Results

In total, 774 SPBP were enrolled, and the prevalence of malnutrition was 60.59%. Pulmonary infection [aOR:2.849, 95%CI: (1.426, 5.691)], hemoglobin [aOR: 0.932, 95%CI: (0.875, 0.982)], serum albumin [aOR: 0.904, 95%CI: (0.871, 0.938)], total protein [aOR: 0.891, 95%CI: (0.819, 0.969)], prealbumin [aOR: 0.962, 95%CI: (0.932, 0.993)], and National Institute of Health Stroke Scale (NIHSS) scores [aOR: 1.228, 95%CI: (1.054, 1.431)] were independent factors associated with malnutrition in SPBP. ROC analysis revealed that the logit model had the best predictive value [area under the curve: 0.874, 95% CI: (0.812, 0.936); specificity: 83.4%; sensitivity: 79.3%; p < 0.05]. Subgroup analysis showed that the nutritional status in dysphagic SPBP was additionally influenced by swallowing function and nutrition support mode.

Conclusion

The prevalence of malnutrition in SPBP was 60.59%. Pulmonary infection, hemoglobin level, and NIHSS score were the independent factors associated with malnutrition. Swallowing function and nutrition support mode were the factors associated with malnutrition in dysphagic SPBP.
Diagnostic value of exosomal noncoding RNA in lung cancer: a meta-analysis
Authors: Cao Yuxuan , Liu Xinbo , Liu Jiayi , Su Ziyi , Liu Wenxuan , Yang Lei , Zhang Liwen
Published: April 2024

Background

Lung cancer is one of the most dangerous cancers in the world. Most lung cancer patients are diagnosed in the middle and later stages, which can lead to poor survival rates. The development of lung cancer is often accompanied by abnormal expression of exosomal non-coding RNAs, which means that they have the potential to serve as noninvasive novel molecular markers for lung cancer diagnosis.

Methods

For this study, we conducted a comprehensive literature search in PubMed, Web of science, Science direct, Embase, Cochrane, and Medline databases, and by reviewing published literature, The diagnostic capacity of exosomal microRNAs (miRNAs), long-chain non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) for lung cancer was evaluated. Functional enrichment analysis of miRNA target genes was performed.

Results

The study included 41 papers, a total of 68 studies. More than 60 miRNAs, 9 lncRNAs and 14 circRNAs were involved. The combined sensitivity and specificity were 0.83(95%CI, 0.80~0.86) and 0.83(95% CI,0.79~0.87); 0.71(95% CI,0.68~0.74) and 0.79(95%CI, 0.75~0.82); 0.79(95%CI,0.67~0.87) and 0.81(95%CI,0.74~0.86), and constructed overall subject operating characteristic curves with the summarized area under the curve values of 0.90, 0.82, and 0.86.

Conclusion

Our study shows that exosomes miRNAs, lncRNAs and circRNAs are effective in the diagnosis of lung cancer, providing evidence for studies related to novel lung cancer diagnostic markers.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42023457087.
Examining patient-reported late toxicity and its association with quality of life and unmet need for symptom management among nasopharyngeal cancer survivors: a cross-sectional survey
Authors: Tam Victor C. W. , Ching Jerry C. F. , Yip Sindy S. T. , Kwong Virginia H. Y. , Chan Catherine P. L. , Wong Kenneth C. W. , Lee Shara W. Y.
Published: April 2024

Introduction

Alongside the improved survival of nasopharyngeal cancer (NPC), late radiation toxicities are alarmingly hampering survivors’ quality of life. A patient-reported symptom burden survey is lacking to address the unmet need for symptom management among local NPC survivors.

Methods

A single-center cross-sectional survey was conducted on 211 NPC survivors who had completed radiation therapy for three to 120 months. We employed the Chinese version M. D. Anderson Symptom Inventory - Head & Neck Module (MDASI-HN-C), Functional Assessment of Cancer Therapy - Head & Neck (FACT-HN-C), and a question extracted from the Cancer Survivors’ Unmet Needs Measure (CaSUN).

Results

Two hundred valid responses were collected. Participants suffered from at least four moderate to severe symptoms (mean = 4.84, SD = 4.99). The top five severe symptoms were dry mouth, mucus problems, difficulty swallowing or chewing, teeth or gum problems, and memory problems. MDASI-HN-C subscales were negatively correlated with the physical, emotional, functional, and HN-specific domains of the FACT-HN-C. The unmet need for symptom management was positively associated with symptom burden, either general symptoms (Adjusted odds ratio [ORadj] = 1.566, 95% CI = 1.282 – 1.914, p < 0.001) or top-5 symptoms (ORadj = 1.379, 95% CI = 1.185 – 1.604, p < 0.001), while negatively associated with post-RT time (ORadj = 0.981, 95% CI [0.972, 0.991], p < 0.001).

Conclusion

Virtually all NPC survivors suffer from late toxicities, which interplay with survivors’ perceptions intricately to affect their unmet needs for symptom management. Personalized supportive care strategies with regular assessments and stratifications are warranted.
Cabozantinib in combination with immune checkpoint inhibitors for renal cell carcinoma: a systematic review and meta-analysis
Authors: Su Jingyang , Zhang Jialin , Wu Yuqian , Ni Cui , Ding Yueyue , Cai Zelin , Xu Ming , Lai Mingyang , Wang Jue , Lin Shengyou , Lu Jinhua
Published: April 2024

Context

Cabozantinib combined with immune checkpoint inhibitors (ICIs) has brought a new therapeutic effect for the medical treatment of renal cell carcinoma (RCC).

Objectives

We performed a meta-analysis of randomized controlled trials and single-arm trials to evaluate the efficacy and safety of cabozantinib plus ICIs in RCC.

Methods

We extracted data from PubMed, Cochrane, Medline and Embase databases, and rated literature quality through Cochrane risk of bias tool and MINORS. RevMan5.3 software was used to analyze the results of randomized controlled trials and single-arm trials.

Results

A total of 7 studies were included. Treatment with cabozantinib plus ICIs improved PFS [HR 0.75, (95%CI: 0.52, 1.08), p = 0.12] and the OS [HR 0.80, (95%CI: 0.60, 1.07), p = 0.13] in randomized controlled trials. Meanwhile, the result of the ORR in randomized controlled trials was [risk ratio (RR) 1.37, (95%CI: 1.21, 1.54), p < 0.00001] and in single-arm trials was [risk difference (RD) 0.49, (95%CI: 0.26, 0.71), p < 0.0001].

Conclusion

Cabozantinib plus ICIs prolonged the PFS and OS, and improved ORR in patients with RCC. Our recommendation is to use cabozantinib plus ICIs to treat advanced RCC, and to continuous monitor and manage the drug-related adverse events.

Systematic Review Registration:

identifier CRD42023455878.
Real-world pharmacological treatment of pregnant patients with rheumatic diseases from China: a retrospective analysis from 2016 to 2021
Authors: Jia Ji-Ning , Wang Xian-Li
Published: April 2024

Introduction: We investigated trends in the use of therapeutic drugs for pregnant patients with rheumatic diseases in nine Chinese cities (Beijing, Chengdu, Guangzhou, Harbin, Hangzhou, Shanghai, Shenyang, Tianjin, and Zhengzhou) to provide a reference for drug use in clinic.

Methods: Outpatient prescription data for pregnant patients diagnosed with rheumatic diseases in nine cities across China in 2016–2021 were extracted from the Hospital Prescription Cooperation Project of the Hospital Pharmacy Professional Committee of the Chinese Pharmaceutical Association. A retrospective analysis was then performed, incorporating data on patient age, defined daily doses (DDDs), defined daily cost (DDC), and other metrics.

Results: In 2016–2020, more than 70% of the pregnant patients diagnosed with rheumatic diseases in these nine cities were 25 to < 35 years of age. The most common rheumatic diseases during pregnancy were antiphospholipid antibody syndrome (APS) and systemic lupus erythematosus (SLE). In terms of the routine use of daily therapeutic drugs, the DDDs of low molecular weight heparins (LMWHs), glucocorticoids, and immunosuppressive agents dominated the top three. Intravenous immunoglobulin (IVIG) and tumor necrosis factor inhibitors (TNFi) have been used since 2019 and had been in the forefront of the DDC.

Conclusion: The number and total cost of prescriptions for therapeutic drugs of pregnancy complicated by rheumatic diseases, have increased significantly over the study interval. Conventional therapeutic drugs, especially glucocorticoids, LMWHs, and hydroxychloroquine were the most widely used drugs in pregnant patients with rheumatic diseases. However, IVIG and TNFi, relatively high cost, have shown gradual increases in clinical use since 2019.
Comprehensive overview of different medicinal parts from Morus alba L.: chemical compositions and pharmacological activities
Authors: Wang Yumei , Ai Qing , Gu Meiling , Guan Hong , Yang Wenqin , Zhang Meng , Mao Jialin , Lin Zhao , Liu Qi , Liu Jicheng
Published: April 2024

Morus alba L., a common traditional Chinese medicine (TCM) with a centuries-old medicinal history, owned various medicinal parts like Mori folium, Mori ramulus, Mori cortex and Mori fructus. Different medical parts exhibit distinct modern pharmacological effects. Mori folium exhibited analgesic, anti-inflammatory, hypoglycemic action and lipid-regulation effects. Mori ramulus owned anti-bacterial, anti-asthmatic and diuretic activities. Mori cortex showed counteraction action of pain, inflammatory, bacterial, and platelet aggregation. Mori fructus could decompose fat, lower blood lipids and prevent vascular sclerosis. The main chemical components in Morus alba L. covered flavonoids, phenolic compounds, alkaloids, and amino acids. This article comprehensively analyzed the recent literature related to chemical components and pharmacological actions of M. alba L., summarizing 198 of ingredients and described the modern activities of different extracts and the bioactive constituents in the four parts from M. alba L. These results fully demonstrated the medicinal value of M. alba L., provided valuable references for further comprehensive development, and layed the foundation for the utilization of M. alba L.
Hippocampal region metabolites and cognitive impairment in patients with general paresis: based on 1H-proton magnetic resonance spectroscopy
Authors: Che Xin , Miao Tianyang , Shi Haishan , Li Zezhi , Ning Yuping
Published: April 2024

Background:

This study utilizes Hydrogen proton magnetic resonance spectroscopy (1H-MRS) to investigate metabolite concentrations in the bilateral hippocampus of general paresis (GP) patients.

Methods:

A total of 80 GP patients and 57 normal controls (NCs) were enrolled. Metabolite ratios in the bilateral hippocampus were measured using 1H-MRS. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). Based on MMSE scores, participants were categorized into normal control, mild cognitive impairment, and moderate-severe dementia groups. Metabolite ratios (N-acetylaspartate (NAA)/creatine (Cr), choline (Cho)/creatine (Cr), N-acetylaspartate (NAA)/choline (Cho), myoinositol (MI)/creatine (Cr), choline (Cho)/N-acetylaspartate (NAA)) were compared between groups, and correlations between metabolite ratios and cognitive performance were examined.

Results:

MMSE scores progressively decreased in the normal, mild cognitive impairment, and moderate-severe dementia groups (p < 0.001). The moderate-severe dementia group showed significantly lower NAA/Cr ratios in the left hippocampus region (L-NAA/Cr ratios) (p < 0.001) and higher Cho/NAA ratios in the left hippocampus region (L-Cho/NAA ratios) (p < 0.05) compared to the other groups. However, differences in L-NAA/Cr and L-Cho/NAA ratios between the mild cognitive impairment group and the NC group were not significant in the hippocampus region (p > 0.05). NAA/Cho and NAA/Cr ratios in the right hippocampus region (R-NAA/Cho and R-NAA/Cr ratios) in the moderate-severe dementia group were lower than those in the control group (p < 0.05). No correlation was found between metabolite ratios and MMSE scores in bilateral hippocampus regions.

Conclusion:

There are distinctive metabolic characteristics in the hippocampus of GP patients. GP patients exhibited lower NAA/Cr and NAA/Cho ratios in the bilateral hippocampus, indicating neuron loss in these areas, which may become more pronounced as the disease progresses.
A study on the effect of different channel cues on learning in immersive 360° videos
Authors: Huang Guan , Chen Chao , Tang Yahan , Zhang Haohua , Liu Rui , Zhou Li
Published: April 2024

Immersive 360° videos are of interest to educators because of their ability to provide immersive sensory experience and other features. This study examined the effects of four cue conditions on 360° video learning performance, attention, cognitive load, and mood using eye-tracking devices, brainwave meters, and subjective questionnaires. The randomly assigned participants (n = 62) did go to the experimental group (visual cues only, auditory cues only, and audiovisual cues) or the control group (no cues). The results showed that visual and audiovisual cues effectively guide learners’ attention to the related learning content, reduce cognitive load during learning, and improve retention performance but have no significant effect on knowledge transfer or long-term memory. Auditory cues increase the number of times learners look at the related learning content but do not affect gaze duration and distract their attention, hindering the acquisition of relevant learning content. The study also found that visual cues effectively increase the number of times learners looked at the content. However, they do not affect gaze duration. The study also revealed that visual cues effectively increase learners’ relaxation when viewing 360° videos. The study’s findings can provide a reference for the instructional processing of information related to 360° video design and its practical application in teaching.
Acting out when psychosocial safety climate is low: understanding why middle-level managers experience upward mistreatment
Authors: Loh May Young , Dollard Maureen Frances
Published: April 2024

Introduction

Upward mistreatment, despite being under studied, is an influential phenomenon affecting middle managers’ well-being and performance. The work environment hypothesis of bullying proposes that an undesirable work context is the main cause of workplace bullying, suggesting the importance of creating an anti-mistreatment climate, that is, psychosocial safety climate (PSC). In this study, we argue that upward bullying and aggression are unsafe behaviors, a “retaliation” by employees resulting from their unsafe work context.

Methods

Using a large-scale multisource sample collected from 123 organizations, 6,658 middle managers and 34,953 employees, we examined the relationship between collective PSC, individual-perceived PSC and middle managers’ experience of upward mistreatment.

Results

Single-level and multi-level modeling results suggested that PSC is an important element in reducing the likelihood of upward bullying and aggression, in turn, protecting managers’ well-being. More importantly, upward bullying is a way that employees act out when there is an undesirable working context.

Discussion

Future research on workplace mistreatment should examine PSC and upward mistreatment. Interventions provided should focus on improving PSC which could in turn preventing upward mistreatment, thereby improving psychosocial safety for both employees and middle managers to prevent negative actions.
Training deaf college students to improve their theory of mind: based on a two-component model
Authors: Wu Yang , Liu Xiping , Zhang Shengnan
Published: April 2024

This paper explored the training methods to improve the level of deaf college students’ ToM. Eighty deaf college students were selected as participants and randomly divided into experimental group and control group. The ToM training group received ToM training; The non-ToM training group received physical-conversation training. Cognitive ToM task and affective ToM task were used to investigate the training effect. After training, the level of ToM of deaf college students who received ToM training was significantly improved. The results show that ToM training can effectively promote the level of deaf college students’ ToM.
Emotion regulation goals and strategies among individuals with varying levels of sensory processing sensitivity: a latent profile analysis
Authors: Liu Yiran , Tian Feng
Published: April 2024

Background

Emotion regulation (ER) has emerged as a significant factor influencing the well-being of individuals with high sensory processing sensitivity (SPS). However, the interaction between SPS and the underlying mechanisms of ER remains largely unexplored.

Objective

This study aimed to (a) identify profiles of SPS and ER competency using a latent profile analysis (LPA), and (b) investigate the ER goals and strategy use among each profile to better understand ER patterns in highly sensitive individuals with lower ER proficiency.

Methods

A total of 813 Chinese college students (mean age = 21.53 ± 2.48; 74.41% female) completed the Highly Sensitive Person Scale, 16-item Difficulties in Emotion Regulation Scale, Emotion Regulation Goals Scale, Emotion Regulation Questionnaire, and the rumination subscale from the Cognitive Emotion Regulation Questionnaire.

Results

The LPA identified three profiles: “Low SPS - High ER Competency” (41%), “Moderate SPS - ER Competency” (41%), and “High SPS - Low ER Competency” (18%). ER goals varied significantly among these groups. The “High SPS - Low ER Competency” group predominantly pursued contra-hedonic goals and impression management goals, while the “Low SPS - High ER Competency” group focused on pro-hedonic goals. In terms of strategies, the “Low SPS - High ER Competency” group mainly used cognitive reappraisal, the “Moderate SPS - ER Competency” group leaned towards suppression, and the “High SPS - Low ER Competency” group preferred rumination and suppression.

Conclusion

These findings indicate that higher SPS combined with lower ER proficiency is linked to an increased pursuit of contra-hedonic goals and impression management goals, and a reliance on response-focused strategies. This pattern offers new insights for developing psychological support strategies for highly sensitive individuals experiencing mental distress.
Developing trustworthy artificial intelligence: insights from research on interpersonal, human-automation, and human-AI trust
Authors: Li Yugang , Wu Baizhou , Huang Yuqi , Luan Shenghua
Published: April 2024

The rapid advancement of artificial intelligence (AI) has impacted society in many aspects. Alongside this progress, concerns such as privacy violation, discriminatory bias, and safety risks have also surfaced, highlighting the need for the development of ethical, responsible, and socially beneficial AI. In response, the concept of trustworthy AI has gained prominence, and several guidelines for developing trustworthy AI have been proposed. Against this background, we demonstrate the significance of psychological research in identifying factors that contribute to the formation of trust in AI. Specifically, we review research findings on interpersonal, human-automation, and human-AI trust from the perspective of a three-dimension framework (i.e., the trustor, the trustee, and their interactive context). The framework synthesizes common factors related to trust formation and maintenance across different trust types. These factors point out the foundational requirements for building trustworthy AI and provide pivotal guidance for its development that also involves communication, education, and training for users. We conclude by discussing how the insights in trust research can help enhance AI’s trustworthiness and foster its adoption and application.
Knowledge, attitude and practice toward diabetes among the public in the Kingdom of Saudi Arabia: a cross-sectional study
Authors: Al-Wagdi Bashayer Ebraheem , Al-Hanawi Mohammed Khaled
Published: April 2024

Background

The increasing adoption of sedentary lifestyles and cultural shifts has fostered unhealthy habits and decreased physical activity, consequently exacerbating the prevalence of diabetes. Diabetes is currently one of the top 10 diseases worldwide, contributing significantly to both mortality and morbidity. Since diabetes hinges on self-care, possessing the right knowledge, attitude, and habits related to the disease is paramount. This study, therefore, aims to examine the knowledge, attitude, and practice of diabetes among the population of Saudi Arabia.

Methods

The study utilized data from a cross-sectional study conducted via an online self-reported questionnaire among the general population of Saudi Arabia. The study primarily used univariate and multivariable regression data analyses. Univariate analysis was employed to compile social and demographic statistics frequencies, while One-way analysis of variance (ANOVA) was used to assess mean differences in knowledge, attitudes, and practices scores. Furthermore, a multivariable linear regression analysis was executed to identify factors associated with knowledge, attitudes, and practices.

Results

The mean score for diabetes knowledge was 17.79 (SD = 5.39, range: 0–29), with an overall accuracy rate of 61.34%. The mean attitude score for diabetes was 2.33 (SD = 1.91, range: 0–7), while the mean score for diabetes practices was 2.58 (SD = 1.28, range: 0–4). The multivariate analyses reveal distinct variations in knowledge, attitudes, and practices of diabetes among participants based on their gender, education, marital status, income, diabetes patient status, and having a medical field-related education.

Conclusion

High knowledge scores do not necessarily equate to positive attitudes and practices related to diabetes. There is need for intensified care and the implementation of specialized educational programs that emphasize the importance of having the right attitude and engaging in the good diabetes practices.
Translation and validation of the Chinese version of the Self-awareness Scale for Nurses
Authors: Chen Qing , Liang Chunguang , Lu Jing , Jiang Zhaoquan
Published: April 2024

Background

Levels of self-awareness may affect the decision-making ability of clinical nurses and may also be related to mental health. Therefore, it is crucial to develop tools to identify nurses’ level of self-awareness. The purpose of this study was to investigate the reliability and validity of a short scale among Chinese nurses and to explore the factors associated with nurses’ self-awareness.

Methods

A total of 957 participants were recruited, 549 participants were used for reliability tests and 408 subjects were used for impact factor studies. They completed the General Information Questionnaire, the Self-Awareness Scale for Nurses, and the Psychological Distress Scale. Exploratory factor analysis, confirmatory factor analysis, Cronbach’s alpha, and retest reliability were used to investigate the psychometric properties of the Self-Awareness Scale for Nurses. Multiple regression analyses were used in this study to investigate the relationship between nurses’ self-awareness and the independent variables.

Results

A 4-factor model of the Chinese version of the Self-Awareness Scale for Nurses was validated. The overall Cronbach’s alpha value for the Chinese version of the Self-Awareness Scale for Nurses was 0.873. Cronbach’s alpha values for each subscale ranged from 0.808 to 0.979. Significant predictors of each dimension of the Self-awareness and the total score of the scale were age and work experience.

Conclusion

The Chinese version of the Self-Awareness Scale for Nurses is a valid and reliable scale.
Quality of life of patients with hip fracture was better during the COVID-19 period than before, an ancillary study from the HiFIT multicenter study
Authors: Lasocki Sigismond , Capdevila Xavier , Bijok Benjamin , Lahlou-Casulli Maria , Collange Vincent , Grillot Nicolas , Loupec Thibault , Rineau Emmanuel , Léger Maxime ,   the HiFIT Investigators
Published: April 2024

Background

The COVID-19 pandemic had a global impact on people life, notably because of lockdown periods. This could particularly affected patients suffering from hip fracture, who could have been more isolated during these periods. We aim at evaluating the impact of the COVID-19 period (including lockdown periods) on quality of life (QOL) in older adult patients 90 days after a surgery for a hip fracture.

Subject and methods

Ancillary study of the prospective randomized controlled HiFIT study. We compared the QOL measured at 90 days after a hip fracture surgery using the EuroQOL-5 dimensions 3 levels (EQ-5D), the Perceived Quality of life (PQOL) and the Instrumental Activities of Daily Living (IADL) in patients included in the Hifit study before and during the COVID-19 pandemic.

Results

The characteristics of the 161 patients included before and of the 213 included during the COVID period (including 122 (57%) during COVID with containment periods and 91 (43%) during COVID without containment periods) were similar (mean age 84 ± 10 years; 282 (75%) women). The majority (81%) of the patients alive at 90 days had returned to their previous place of residence in both periods. During the COVID period, EQ-5D showed better patient pain/discomfort and anxiety/depression levels. The PQOL happiness was not different, with around 81% of the patient being “happy” or “very happy” during the two periods and the IADL was also similar during the two periods. In the multivariate analysis odd ratios of having poorer outcomes were increased before COVID for pain/discomfort (OR 2.38, 95%CI [1.41–4.15], p = 0.001), anxiety (OR 1.89 [1.12–3.21], p = 0.017) and mobility (1.69 [1.02–2.86], p = 0.044).

Conclusion

Patient’s quality of life measured using different scales was not altered during the COVID period compared to before COVID, 90 days after a hip fracture. Surprisingly, the Pain/Discomfort and Anxiety dimensions of the EQ-5D questionnaires were even better during the COVID period.

Clinical trial registration:https://clinicaltrials.gov/ (NCT02972294).
A narrative case study of an older disabled Muslim woman during the COVID-19 pandemic in the UK
Authors: Alnamnakani Amani
Published: April 2024

This paper explores the experiences and perceptions of Zora, an older Muslim woman living with a disability in the UK. Older disabled Muslim women in the UK often face multiple discriminations based on disability, age, gender, religious, and racial grounds and this has arguably been intensified by the COVID-19 pandemic. Drawing on multiple narrative interviews with Zora, this paper focuses on the intersections of disability, ageing, gender, race and religion within a particular social context during the COVID-19 pandemic in the UK. The paper describes the complex ways in which Zora experienced various modes of everyday disablism which were not related to the COVID-19 virus itself, rather the consequences of the movement restrictions associated with it. Much of the oppression and barriers she described were socially determined, both through direct discrimination, stares and prejudicial attitudes, and indirectly through stigmatization and an embodied fear of the reaction of others in public spaces. Nevertheless, Zora did not present herself as a victim. Instead she portrayed herself in affirmative terms, as a ‘brave’ woman who resisted and overcame daily social challenges and movement restrictions as part of working toward creating a more accessible, inclusive and age-friendly society. One that is inhabitable for herself and other older disabled women facing an uncertain future.
How to manifest the fertilizer reduction effect of pro-environmental agricultural technologies? From the perspective of farmers’ perception and behavioral adoption
Authors: Kuang Foyuan , Li Jiatong , Jin Jianjun , Liu Changjin , Qiu Xin
Published: April 2024

Introduction

The ecological and environmental pollution problem at the source of agriculture cannot be ignored, and the manifestation of the fertilizer reduction effect of pro-environmentally agricultural technologies (PEATs) will help motivate farmers to adopt technology, thereby promoting sustainable agricultural development.

Methods

From the dual perspectives of farmers’ perception and behavior effects, this paper uses 607 survey data of Chinese farmers, and an endogenous switching regression model is employed to identify the influencing factors of farmers’ adoption of PEATs and manifest its fertilizer reduction effect.

Results and discussion

The results of the perception survey show that the farmers’ recognition of the fertilizer reduction effect of PEATs is not high, and the technical effect needs to be further demonstrated. Moreover, the estimated results suggest that PEATs can significantly reduce the fertilizer application of farmers. Specifically, if farmers who have adopted PEATs do not adopt them, they will apply more chemical fertilizers, the farmers who have not adopted PEATs will use less chemical fertilizer if they do. Overall, the main influencing factors for farmers adopting PEATs include education level, government officials, cultivated land area, soil fertility, information access channels, and the distance of home-agricultural technology station. This study aims to provide empirical evidence for the formulation of strategies and plans to promote sustainable agricultural development.
The MexTAg collaborative cross: host genetics affects asbestos related disease latency, but has little influence once tumours develop
Authors: Fisher Scott A. , Patrick Kimberley , Hoang Tracy , Marcq Elly , Behrouzfar Kiarash , Young Sylvia , Miller Timothy J. , Robinson Bruce W. S. , Bueno Raphael , Nowak Anna K. , Lesterhuis W. Joost , Morahan Grant , Lake Richard A.
Published: April 2024

Objectives: This study combines two innovative mouse models in a major gene discovery project to assess the influence of host genetics on asbestos related disease (ARD). Conventional genetics studies provided evidence that some susceptibility to mesothelioma is genetic. However, the identification of host modifier genes, the roles they may play, and whether they contribute to disease susceptibility remain unknown. Here we report a study designed to rapidly identify genes associated with mesothelioma susceptibility by combining the Collaborative Cross (CC) resource with the well-characterised MexTAg mesothelioma mouse model.

Methods: The CC is a powerful mouse resource that harnesses over 90% of common genetic variation in the mouse species, allowing rapid identification of genes mediating complex traits. MexTAg mice rapidly, uniformly, and predictably develop mesothelioma, but only after asbestos exposure. To assess the influence of host genetics on ARD, we crossed 72 genetically distinct CC mouse strains with MexTAg mice and exposed the resulting CC-MexTAg (CCMT) progeny to asbestos and monitored them for traits including overall survival, the time to ARD onset (latency), the time between ARD onset and euthanasia (disease progression) and ascites volume. We identified phenotype-specific modifier genes associated with these traits and we validated the role of human orthologues in asbestos-induced carcinogenesis using human mesothelioma datasets.

Results: We generated 72 genetically distinct CCMT strains and exposed their progeny (2,562 in total) to asbestos. Reflecting the genetic diversity of the CC, there was considerable variation in overall survival and disease latency. Surprisingly, however, there was no variation in disease progression, demonstrating that host genetic factors do have a significant influence during disease latency but have a limited role once disease is established. Quantitative trait loci (QTL) affecting ARD survival/latency were identified on chromosomes 6, 12 and X. Of the 97-protein coding candidate modifier genes that spanned these QTL, eight genes (CPED1, ORS1, NDUFA1, HS1BP3, IL13RA1, LSM8, TES and TSPAN12) were found to significantly affect outcome in both CCMT and human mesothelioma datasets.

Conclusion: Host genetic factors affect susceptibility to development of asbestos associated disease. However, following mesothelioma establishment, genetic variation in molecular or immunological mechanisms did not affect disease progression. Identification of multiple candidate modifier genes and their human homologues with known associations in other advanced stage or metastatic cancers highlights the complexity of ARD and may provide a pathway to identify novel therapeutic targets.
Factors associated with behavioral euthanasia in pet dogs
Authors: Hitchcock Miranda , Workman Miranda K. , Guthrie Adeline P. , Ruple Audrey , Feuerbacher Erica N.
Published: April 2024

When pet dogs demonstrate certain serious problem behaviors, this may lead owners to choose behavioral euthanasia. However, research on behavioral euthanasia of pet dogs is sparse and previously published papers have not specifically sampled owners who made the decision to euthanize for behavior. The Behavioral Euthanasia in Pet Dogs Questionnaire was created to collect a wide range of information from dog owners who made behavioral euthanasia decisions. Using this survey, we explored the types of behaviors associated with behavioral euthanasia. Human-directed aggression, especially toward adults living in the household, was the most frequently reported reason for choosing behavioral euthanasia; followed by aggression toward other animals, especially other dogs living in the same household. The majority of dogs displaying human-directed or other animal-directed aggression were reported to have bitten and broken skin, and many of these had bitten in multiple or severe incidents. Most dogs had lived in their homes and displayed problem behaviors for over a year prior to behavioral euthanasia, and the euthanasia occurred at a variety of ages, from less than 1 year old to 18 years old. Additional research is required to understand environmental or nonbehavioral factors contributing to the behavioral euthanasia of companion animals, as well as the psychosocial and emotional impact of behavioral euthanasia on the human experience. Understanding the behavioral factors associated with behavioral euthanasia can direct resources toward problem behavior interventions, improve public education about animal behavior, and strengthen the human-animal bond.
Desarrollo comunitario desde el Laboratorio Social de la UIDE en Alangasí
Authors:   Universidad Internacional del Ecuador, Unda Padilla Mauricio Javier , Herrera Proaño Renato Gabriel , MORAN RAMON EDUARDO ENRIQUE , ERAZO ORREGO TAMARA DENISE , VERA ALCIVAR DAVID GONZALO , CASTILLO DE CACERES JANETH COROMOTO , Guevara Castillo Washington David , ROJAS GALINDO MARIUXI PAOLA , Ruiz Salazar Soraya Nathalie , PUERTAS DONOSO CECILIA DEL CARMEN , GUADAMUD MEJIA JUAN ANDRES , Guanuche Larco Denny Javie , Martínez Martínez Alicia Consuelo , CHASI GALARRAGA SANDRA ISABEL
Published: April 2024

La Universidad Internacional del Ecuador ha implementado la metodología de laboratorio social desde 2019, comprometiéndose a ayudar a los grupos más desfavorecidos de la sociedad a través de proyectos de prácticas comunitarias. En colaboración con el Gobierno Autónomo Descentralizado Rural del Alangasí, se han desarrollado proyectos de vinculación, con el objetivo de fortalecer capacidades institucionales y mejorar las condiciones de vida de la comunidad. A lo largo de los años 2019 al 2021, diversas carreras de la sede Matriz de la universidad han participado activamente, abordando problemáticas sociales y ambientales, apoyando a emprendedores locales y promoviendo la salud y el bienestar de los habitantes. Estos esfuerzos conjuntos han generado impactos significativos en la calidad de vida de los pobladores de Alangasí, como se detalla en este libro.
Precision Livestock Farming Technology: Applications and Challenges of Animal Welfare and Climate Change
Authors: Papakonstantinou Georgios I. , Voulgarakis Nikolaos , Terzidou Georgia , Fotos Lampros , Giamouri Elisavet , Papatsiros Vasileios G.
Published: April 2024

This study aimed to review recent developments in the agri-food industry, focusing on the integration of innovative digital systems into the livestock industry. Over the last 50 years, the production of animal-based foods has increased significantly due to the rising demand for meat. As a result, farms have increased their livestock numbers to meet consumer demand, which has exacerbated challenges related to environmental sustainability, human health, and animal welfare. In response to these challenges, precision livestock farming (PLF) technologies have emerged as a promising solution for sustainable livestock production. PLF technologies offer farmers the opportunity to increase efficiency while mitigating environmental impact, securing livelihoods, and promoting animal health and welfare. However, the adoption of PLF technologies poses several challenges for farmers and raises animal welfare concerns. Additionally, the existing legal framework for the use of PLF technologies is discussed. In summary, further research is needed to advance the scientific understanding of PLF technologies, and stakeholders, including researchers, policymakers, and funders, need to prioritize ethical considerations related to their implementation.
Safflower Picking Trajectory Planning Strategy Based on an Ant Colony Genetic Fusion Algorithm
Authors: Guo Hui , Qiu Zhaoxin , Gao Guomin , Wu Tianlun , Chen Haiyang , Wang Xiang
Published: April 2024

In order to solve the problem of the low pickup efficiency of the robotic arm when harvesting safflower filaments, we established a pickup trajectory cycle and an improved velocity profile model for the harvest of safflower filaments according to the growth characteristics of safflower. Bezier curves were utilized to optimize the picking trajectory, mitigating the abrupt changes produced by the delta mechanism during operation. Furthermore, to overcome the slow convergence speed and the tendency of the ant colony algorithm to fall into local optima, a safflower harvesting trajectory planning method based on an ant colony genetic algorithm is proposed. This method includes enhancements through an adaptive adjustment mechanism, pheromone limitation, and the integration of optimized parameters from genetic algorithms. An optimization model with working time as the objective function was established in the MATLAB environment, and simulation experiments were conducted to optimize the trajectory using the designed ant colony genetic algorithm. The simulation results show that, compared to the basic ant colony algorithm, the path length with the ant colony genetic algorithm is reduced by 1.33% to 7.85%, and its convergence stability significantly surpasses that of the basic ant colony algorithm. Field tests demonstrate that, while maintaining an S-curve velocity, the ant colony genetic algorithm reduces the harvesting time by 28.25% to 35.18% compared to random harvesting and by 6.34% to 6.81% compared to the basic ant colony algorithm, significantly enhancing the picking efficiency of the safflower-harvesting robotic arm.
Recognition and Positioning of Strawberries Based on Improved YOLOv7 and RGB-D Sensing
Authors: Li Yuwen , Wang Wei , Guo Xiaohuan , Wang Xiaorong , Liu Yizhe , Wang Daren
Published: April 2024

To improve the speed and accuracy of the methods used for the recognition and positioning of strawberry plants, this paper is concerned with the detection of elevated-substrate strawberries and their picking points, using a strawberry picking robot, based on the You Only Look Once version 7 (YOLOv7) object detection algorithm and Red Green Blue-Depth (RGB-D) sensing. Modifications to the YOLOv7 model include the integration of more efficient modules, incorporation of attention mechanisms, elimination of superfluous feature layers, and the addition of layers dedicated to the detection of smaller targets. These modifications have culminated in a lightweight and improved YOLOv7 network model. The number of parameters is only 40.3% of that of the original model. The calculation amount is reduced by 41.8% and the model size by 59.2%. The recognition speed and accuracy are also both improved. The frame rate of model recognition is increased by 19.3%, the accuracy of model recognition reaches 98.8%, and mAP@0.95 reaches 96.8%. In addition, we have developed a method for locating strawberry picking points based on strawberry geometry. The test results demonstrated that the average positioning success rate and average positioning time were 90.8% and 76 ms, respectively. The picking robot in the laboratory utilized the recognition and positioning method proposed in this paper. The error of hand–eye calibration is less than 5.5 mm on the X-axis, less than 1.6 mm on the Y-axis, and less than 2.7 mm on the Z-axis, which meets the requirements of picking accuracy. The success rate of the picking experiment was about 90.8%, and the average execution time for picking each strawberry was 7.5 s. In summary, the recognition and positioning method proposed in this paper provides a more effective method for automatically picking elevated-substrate strawberries.
The Effect of Crop Production Systems and Cultivars on Spring Wheat (Triticum aestivum L.) Yield in a Long-Term Experiment
Authors: Feledyn-Szewczyk Beata , Jończyk Krzysztof , Stalenga Jarosław
Published: April 2024

The aim of this study was to determine the impact of different crop production systems (organic, integrated, and conventional) on the yields of several spring wheat (Triticum aestivum L.) cultivars. A field experiment was carried out at the Agricultural Experimental Station of the Institute of Soil Science and Plant Cultivation in Osiny (Poland) in three consecutive growing seasons (2014, 2015, and 2016). Two factors were included in the experiment: the crop production system (organic, integrated, and conventional) and spring wheat cultivars (Kandela, Izera, Ostka Smolicka, and Waluta). The crop production system significantly differentiated the yield, health, and weed infestation of the spring wheat. Wheat yield in the conventional system (6.12 t·ha−1) was higher than in the organic system (3.68 t·ha−1) by 67%, whereas, in the integrated system (7.61 t·ha−1), it was greater than in the organic system by 109%. The lower yields in the organic system were mainly due to fewer ears per m2 and a smaller 1000-grain weight. In the organic system, we also observed a higher infestation of wheat by foliar fungal pathogens and weeds compared with the conventional and integrated systems. The spring wheat cultivars differed in yield structure and resistance to infestation by fungal pathogens. The Waluta and Izera cultivars performed well in all systems but yielded the best in the integrated and conventional ones. The Kandela cultivar was the most suitable for the organic system, as it achieved the highest yield (4.16 t·ha−1). This was mainly due to its ability to form a compact canopy with relatively high ear density, a large 1000-grain weight, and the highest resistance to fungal pathogens. The results for cultivars’ performance in the organic system may be useful for farmers in decreasing yield gaps in relation to integrated and conventional systems.