bluuebunny/crossref_metadata_2025 huggingface dataset:
Human adipose mesenchymal stem cell-derived exosomes alleviate fibrosis by restraining ferroptosis in keloids
Authors: Tian Yuan , Li Meijia , Cheng Rong , Chen Xinyue , Xu Zhishan , Yuan Jian , Diao Zhiyong , Hao Lijun
Published: August 2024

Background

Keloid is a fibroproliferative disease with unsatisfactory therapeutic effects and a high recurrence rate. exosomes produced by adipose-derived mesenchymal stem cells (ADSC-Exos) have attracted significant interest due to their ability to treat fibrosis. However, the molecular mechanisms of ADSC-Exos in keloids remain inconclusive.

Objective

Our study revealed the relationship between ferroptosis and fibrosis in keloids. Subsequently, this study aimed to explore further the anti-fibrotic effect of ADSC-Exos on keloids through ferroptosis and the potential underlying mechanisms.

Methods

To investigate the impact of ferroptosis on keloid fibrosis, Erastin and ferrostatin-1 (fer-1) were utilized to treat keloid fibroblast. Keloid keloids treated with Erastin and fer-1 were cocultured with ADSC-Exos to validate the impact of ferroptosis on the effect of ADSC-Exos on keloid anti-ferrotic protein, peroxidase 4 (GPX4) and anti-fibrotic effects in vivo and in vitro by Western blot, as well as variations in iron metabolite expression, malondialdehyde (MDA), liposomal peroxidation (LPO) and glutathione (GSH) were analyzed. The effect of solute carrier family 7-member 11 (SLC7A11) silencing on ADSC-Exo-treated keloid fibroblast was investigated.

Results

Iron metabolite dysregulation was validated in keloids. Fibrosis progression is enhanced by Erastin-induced ferroptosis. The anti-fibrotic effects of ADSC-Exos and fer-1 are related to their ability to prevent iron metabolism. ADSC-Exos effectively suppressed keloid fibrosis progression and increased GSH and GPX4 gene expression. Additionally, the use of Erastin limits the effect of ADSC-Exos in keloids. Furthermore, the effect of ADSC-Exos on keloids was associated with SLC7A11-GPX4 signaling pathway.

Conclusion

We demonstrated a new potential mechanism by which anti-ferroptosis inhibits the progression of keloid fibrosis and identified an ADSC-Exo-based keloid therapeutic strategy. Resisting the occurrence of ferroptosis and the existence of the SLC7A11-GPX4 signaling pathway might serve as a target for ADSC-Exos.
Mechanism of antibacterial resistance, strategies and next-generation antimicrobials to contain antimicrobial resistance: a review
Authors: Belay Wubetu Yihunie , Getachew Melese , Tegegne Bantayehu Addis , Teffera Zigale Hibstu , Dagne Abebe , Zeleke Tirsit Ketsela , Abebe Rahel Belete , Gedif Abebaw Abie , Fenta Abebe , Yirdaw Getasew , Tilahun Adane , Aschale Yibeltal
Published: August 2024

Antibacterial drug resistance poses a significant challenge to modern healthcare systems, threatening our ability to effectively treat bacterial infections. This review aims to provide a comprehensive overview of the types and mechanisms of antibacterial drug resistance. To achieve this aim, a thorough literature search was conducted to identify key studies and reviews on antibacterial resistance mechanisms, strategies and next-generation antimicrobials to contain antimicrobial resistance. In this review, types of resistance and major mechanisms of antibacterial resistance with examples including target site modifications, decreased influx, increased efflux pumps, and enzymatic inactivation of antibacterials has been discussed. Moreover, biofilm formation, and horizontal gene transfer methods has also been included. Furthermore, measures (interventions) taken to control antimicrobial resistance and next-generation antimicrobials have been discussed in detail. Overall, this review provides valuable insights into the diverse mechanisms employed by bacteria to resist the effects of antibacterial drugs, with the aim of informing future research and guiding antimicrobial stewardship efforts.
Lung image segmentation via generative adversarial networks
Authors: Cai Jiaxin , Zhu Hongfeng , Liu Siyu , Qi Yang , Chen Rongshang
Published: August 2024

Introduction

Lung image segmentation plays an important role in computer-aid pulmonary disease diagnosis and treatment.

Methods

This paper explores the lung CT image segmentation method by generative adversarial networks. We employ a variety of generative adversarial networks and used their capability of image translation to perform image segmentation. The generative adversarial network is employed to translate the original lung image into the segmented image.

Results

The generative adversarial networks-based segmentation method is tested on real lung image data set. Experimental results show that the proposed method outperforms the state-of-the-art method.

Discussion

The generative adversarial networks-based method is effective for lung image segmentation.
Application of multiomics analysis to plant flooding response
Authors: Gui Guangya , Zhang Qi , Hu Weiming , Liu Fen
Published: August 2024

Flooding, as a natural disaster, plays a pivotal role in constraining the growth and development of plants. Flooding stress, including submergence and waterlogging, not only induces oxygen, light, and nutrient deprivation, but also alters soil properties through prolonged inundation, further impeding plant growth and development. However, hypoxia (or anoxia) is the most serious and direct damage to plants caused by flooding. Moreover, flooding disrupts the structural integrity of plant cell walls and compromises endoplasmic reticulum functionality, while hindering nutrient absorption and shifting metabolic processes from normal aerobic respiration to anaerobic respiration. It can be asserted that flooding exerts comprehensive effects on plants encompassing phenotypic changes, transcriptional alterations, protein dynamics, and metabolic shifts. To adapt to flooding environments, plants employ corresponding adaptive mechanisms at the phenotypic level while modulating transcriptomic profiles, proteomic characteristics, and metabolite levels. Hence, this study provides a comprehensive analysis of transcriptomic, proteomic, and metabolomics investigations conducted on flooding stress on model plants and major crops, elucidating their response mechanisms from diverse omics perspectives.
Phylogeny, adaptive evolution, and taxonomy of Acronema (Apiaceae): evidence from plastid phylogenomics and morphological data
Authors: Chen Lian , Song Bo-Ni , Yang Lei , Wang Yuan , Wang Yun-Yi , Aou Xueyimu , He Xing-Jin , Zhou Song-Dong
Published: August 2024

Introduction

The genus Acronema, belonging to Apiaceae, includes approximately 25 species distributed in the high-altitude Sino-Himalayan region from E Nepal to SW China. This genus is a taxonomically complex genus with often indistinct species boundaries and problematic generic delimitation with Sinocarum and other close genera, largely due to the varied morphological characteristics.

Methods

To explore the phylogenetic relationships and clarify the limits of the genus Acronema and its related genera, we reconstructed a reliable phylogenetic framework with high support and resolution based on two molecular datasets (plastome data and ITS sequences) and performed morphological analyses.

Results

Both phylogenetic analyses robustly supported that Acronema was a non-monophyletic group that fell into two clades: Acronema Clade and East-Asia Clade. We also newly sequenced and assembled sixteen Acronema complete plastomes and performed comprehensively comparative analyses for this genus. The comparative results showed that the plastome structure, gene number, GC content, codon bias patterns were high similarity, but varied in borders of SC/IR and we identified six different types of SC/IR border. The SC/IR boundaries of Acronema chienii were significantly different from the other Acronema members which was consistent with the type VI pattern in the genus Tongoloa. We also identified twelve potential DNA barcode regions (ccsA, matK, ndhF, ndhG, psaI, psbI, rpl32, rps15, ycf1, ycf3, psaI-ycf4 and psbM-trnD) for species identification in Acronema. The molecular evolution of Acronema was relatively conservative that only one gene (petG) was found to be under positive selection (ω = 1.02489).

Discussion

The gene petG is one of the genes involved in the transmission of photosynthetic electron chains during photosynthesis, which plays a crucial role in the process of photosynthesis in plants. This is also a manifestation of the adaptive evolution of plants in high-altitude areas to the environment. In conclusion, our study provides novel insights into the plastome adaptive evolution, phylogeny, and taxonomy of genus Acronema.
Histological and transcriptomic insights into the interaction between grapevine and Colletotrichum viniferum
Authors: Dou Mengru , Li Yuhang , Hao Yu , Zhang Kangzhuang , Yin Xiao , Feng Zinuo , Xu Xi , Zhang Qi , Bao Wenwu , Chen Xi , Liu Guotian , Wang Yuejin , Tian Ling , Xu Yan
Published: August 2024

Introduction

Grape is of high economic value. Colletotrichum viniferum, a pathogen causing grape ripe rot and leaf spot, threatens grape production and quality.

Methods

This study investigates the interplay between C. viniferum by Cytological study and transcriptome sequencing.

Results

Different grapevine germplasms, V. vinifera cv. Thompson Seedless (TS), V. labrusca accession Beaumont (B) and V. piasezkii Liuba-8 (LB-8) were classified as highly sensitive, moderate resistant and resistant to C. viniferum, respectively. Cytological study analysis reveals distinct differences between susceptible and resistant grapes post-inoculation, including faster pathogen development, longer germination tubes, normal appressoria of C. viniferum and absence of white secretions in the susceptible host grapevine. To understand the pathogenic mechanisms of C. viniferum, transcriptome sequencing was performed on the susceptible grapevine “TS” identifying 236 differentially expressed C. viniferum genes. These included 56 effectors, 36 carbohydrate genes, 5 P450 genes, and 10 genes involved in secondary metabolism. Fungal effectors are known as pivotal pathogenic factors that modulate plant immunity and affect disease development. Agrobacterium-mediated transient transformation in Nicotiana benthamiana screened 10 effectors (CvA13877, CvA01508, CvA05621, CvA00229, CvA07043, CvA05569, CvA12648, CvA02698, CvA14071 and CvA10999) that inhibited INF1 (infestans 1, P. infestans PAMP elicitor) induced cell death and 2 effectors (CvA02641 and CvA11478) that induced cell death. Additionally, transcriptome analysis of “TS” in response to C. viniferum identified differentially expressed grape genes related to plant hormone signaling (TGA, PR1, ETR, and ERF1/2), resveratrol biosynthesis genes (STS), phenylpropanoid biosynthesis genes (PAL and COMT), photosynthetic antenna proteins (Lhca and Lhcb), transcription factors (WRKY, NAC, MYB, ERF, GATA, bHLH and SBP), ROS (reactive oxygen species) clearance genes (CAT, GSH, POD and SOD), and disease-related genes (LRR, RPS2 and GST).

Discussion

This study highlights the potential functional diversity of C. viniferum effectors. Our findings lay a foundation for further research of infection mechanisms in Colletotrichum and identification of disease response targets in grape.
Student motivation to study music and sport – a comparison between study subjects and study programs on intrinsic and extrinsic motivational aspects
Authors: Immerz Anna , Nusseck Manfred , Hohagen Jesper , Spahn Claudia
Published: August 2024

Instruction

In both subjects, music and sport, the engagement with the subject content – learning an instrument or training in a sports club – usually begins in early childhood. This makes these subjects special and similar. It is therefore of interest to examine the motivation for choosing music and sport as subjects for university study.

Methods

In the present investigation, 151 students at the beginning of their university studies were examined. Among these were 110 music university students in the Bachelor of Music (B.Mus.) and music teacher education program, and 41 sport university students in the Bachelor of Science (B.Sc.) and sport teacher education program. The study contained a custom-made questionnaire on sociodemographic data, questions on study choice alternatives and biographical musical or sporting background, as well as two standardized questionnaires on motivation for enrollment (STUWA) and on aspects that are important for the profession.

Results

Music and sport students were at a rather high and similar level of intrinsic motivation to study their subjects. However, materialistic goals motivated the teacher education students more than the bachelor’s students with an artistic program. The difference between the study programs was also found in the context of extrinsic-social motivation, where the teacher training students answered with higher scores. With regard to socially-induced motivation, it was shown that music students and sport teacher education students were more socially induced to study the respective subject compared to the general student population. With regard to uncertainty when choosing a course, it was found that Bachelor of Music students were more certain that they wanted to study exactly their particular subject. The ages at which music and sport were started in childhood were similar, but the first-year music students were younger than the sport students were. Compared to sports students, music students decided their area of study earlier, and bachelor’s students in music in particular had fewer alternative study options than sports students.

Discussion

The results provide a differentiated picture of student motivation to study and thus allow a deeper insight into the subject cultures of music and sport. They also open up opportunities for follow-up studies in comparison with other study subjects and programs.
Taking it to the extreme: prevalence and nature of extremist sentiment in games
Authors: Kowert Rachel , Kilmer Elizabeth , Newhouse Alex
Published: August 2024

More than half of all game players report experiencing some form of hate, harassment or abuse within gaming spaces. While prevalence assessments of these actions in digital gaming spaces are ongoing, little remains known about the more extreme forms of these behaviors. Specifically, experiences of extremism. This paper addresses the gap in research knowledge around the expression of extremist sentiment in games by evaluating their prevalence, location, and nature, and impact. Assessing experiences via an online survey, game players (n = 423) reported an alarmingly high rate of frequency for being the direct target of, as well as a witness to, all forms of extremist content. Most of these experiences were text-based, reported to be happening in-game. Most players endorsed statements relating to a normalization of extreme ideologies within gaming cultures. It is promising that reporting these behaviors was the primary action taken by players for most of the players; however, “ignoring” these actions was also a common strategy. It is possible that player inaction reflects the embeddedness and normalization of these actions in gaming spaces and/or a lack of trust in moderation systems to be responsive. The prevalence of extreme sentiment in gaming cultures should raise concern from game makers, members of the gaming community, parents, and policy makers alike.
Explicit and indirect, latency-based measure of aggression in striking combat sports
Authors: Predoiu Radu , Piotrowski Andrzej , Stan Elena Amelia , Ciolacu Mihai Valentin , Bitang Andrei , Croitoru Doina , Cosma Germina
Published: August 2024

Introduction

Aggression in sports is often perceived as a necessary trait for success, especially in martial arts. Aggression can be assessed both explicitly and implicitly, taking into account the dual processing model. The purpose of the research was to examine explicit and indirect, latency-based measure of aggression in competitive athletes practicing striking combat sports, according to gender and sports performance. At the same time, we verified whether aggression (implicit/unconscious and explicit) predicts sports performance in martial artists.

Materials and methods

A total of 85 athletes practicing striking combat sports took part in the research. For implicit, latency-based measure of aggression, an Implicit Associations Test (IAT) was used, while explicit aggression was assessed with the Romanian adaptation of the Makarowski’s Aggression Questionnaire for martial arts athletes.

Results

Data analysis revealed (using multivariate analysis of variance) that athletes from striking combat sports having international sports performances registered significantly higher D-scores (IAT, p = 0.014) and lower values for Go-ahead factor (p = 0.006), compared to athletes without outstanding results. Goodman and Kruskal tau association test was used to check the existing associations between athletes’ gender and martial arts athletes’ level of explicit and implicit aggression. In addition, binomial logistic regression procedures were performed, predicting martial artists’ likelihood to obtain higher sports results, based on explicit and indirect aggression.

Conclusion

A stronger association between Aggression and Others (at implicit/unconscious level) and a moderate level (generally) for Go-ahead factor of explicit aggression are associated with an increased likelihood of sports performances in athletes. In addition, male martial arts athletes are more persistent despite obstacles, remaining more on the offensive (no gender-related association were found in terms of indirect/unconscious aggression, and for Foul Play and Assertiveness factors of explicit aggression). The study underlines the importance of addressing athletes’ subconscious level to promote more constructive behaviors in competitions.
Analysis of risk factors for hospital-acquired pneumonia in schizophrenia
Authors: Chen Yu-hang , Ren Cong-ying , Liao Yu
Published: August 2024

Background

Hospital-acquired pneumonia is one of the most important causes of recurrent illness, disease progression, and even death during hospitalization. Patients with schizophrenia have the special characteristics of their disease, and at the same time, the occurrence of hospital-acquired pneumonia is more common among patients with schizophrenia due to the prolonged stay in closed wards, accompanied by various factors such as age, gender, and nutritional status.

Methods

The PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), and China Biomedical Literature Database (CBM) databases were searched with a timeframe of build to February 2024 to collect studies on factors influencing hospital-acquired pneumonia in patients with schizophrenia. Two researchers independently screened the literature, extracted data, and analyzed them.

Results

A total of 5 papers including 85246 patients were included in the literature, which suggested that benzodiazepines (especially the use of clozapine), combination of antipsychotics, mood stabilizers, modified electroconvulsive therapy (MECT), duration of hospitalization, underlying diseases, hyperglycemia, and salivation/dysphagia were important risk factors for hospital-acquired pneumonia in schizophrenia patients, and that advanced age, smoking and alcohol drinking Older age, smoking and drinking habits, malnutrition, and underlying diseases are also risk factors for hospital-acquired pneumonia.

Conclusions

Patients with schizophrenia are at a higher risk of developing hospital-acquired pneumonia, so identifying the risk factors associated with hospital-acquired pneumonia and evaluating them comprehensively and promptly during hospitalization facilitates the development of early interventions, which are essential for improving the prognosis of patients with schizophrenia.
Empowering understanding: navigating consent to ketamine treatment in adolescent mental health
Authors: Sathappan Aakash , Yudkoff Benjamin
Published: August 2024

The rising prevalence of mental health disorders in adolescents, compounded by treatment resistance, underscores the need for innovative interventions. Ketamine, recognized for its rapid antidepressant and anti-suicidal effects in adults, has recently emerged as a potential treatment for adolescents with treatment-resistant depression and suicidality. This paper aims to highlight key elements of the informed consent process, including obtaining parental consent and adolescent assent, and discussing the nature of ketamine treatment, its benefits, and potential risks. Obtaining informed consent for ketamine treatment in this demographic poses unique challenges. During the informed consent process, clinicians should balance an adolescent’s growing autonomy with parental consent and address the distinct features of treatment, including ketamine’s potential to induce psychedelic-like effects. Additionally, clinicians should highlight the “off-label” use in this population and the uncertainty inherent to treatment at this time, including the lack of data on repeated ketamine exposure on the developing brain. This paper also addresses challenging scenarios related to informed consent for this treatment, such as instances when parents are willing to consent but the adolescent refuses. Alternative treatment strategies such as transcranial magnetic stimulation (TMS) and electroconvulsive therapy (ECT) are also considered. In conclusion, while an emerging body of evidence suggests that ketamine shows potential for the acute treatment of adolescents with severe depression and suicidality, adherence to informed consent principles is paramount to ensure best clinical practices and uphold ethical standards amidst the current landscape of ongoing research.
The impact of energy poverty on the health and welfare of the middle-aged and older adults
Authors: Wang Yibo , Wu You , Wang Chenyu , Li Li , Lei Yalin , Wu Sanmang , Qu Zhi
Published: August 2024

Drawing upon data from the 2018 CHARLS, this paper utilizes MEPI and a 10% threshold indicator to, respectively, assess the energy poverty (EP) status among middle-aged and older adults in China, focusing on the unavailability and unaffordability of energy services. Additionally, an econometric model is constructed to investigate the effects of EP on the health and welfare of middle-aged and older adults. Regression results indicate that EP exerts a significant negative impact on the health and welfare of middle-aged and older adults. This conclusion remains robust after conducting endogeneity and robustness tests, demonstrating its validity. Finally, based on the calculation results, we propose relevant policy recommendations including enhancing energy services for older adults in rural areas, integrating household energy alternatives with targeted poverty alleviation, enhancing monitoring mechanisms, and conducting energy education activities to alleviate EP and improve the quality of life of middle-aged and older adults.
Assessing a measure for Quality of Life in patients with severe Alopecia Areata: a multicentric Italian study
Authors: Caldarola Giacomo , Raimondi Giulia , Samela Tonia , Pinto Lorenzo , Pampaloni Francesca , Starace Michela Valeria Rita , Diluvio Laura , Dall'Oglio Federica , Vagnozzi Emanuele , de Felici del Giudice Maria Beatrice , Balestri Riccardo , Ambrogio Francesca , Girolomoni Giampiero , Riva Silvia Francesca , Moro Francesco , Atzori Laura , Gallo Giuseppe , Ribero Simone , Simonetti Oriana , Barruscotti Stefania , Boccaletti Valeria , Marzano Angelo Valerio , Bianchi Luca , Micali Giuseppe , Piraccini Bianca Maria , Fargnoli Maria Concetta , Abeni Damiano , Peris Ketty
Published: August 2024

Objective

The prevalence of anxiety and depression in patients diagnosed with Alopecia Areata (AA) is very high and this significant burden of psychological symptoms threatens the Health-Related Quality of Life (HRQoL) of affected patients. Indeed, AA often does not produce significant physical symptoms, but it nonetheless disrupts many areas of mental health. Clinical assessment of disease severity may not reliably predict patient's HRQoL, nor may it predict the patient's perception of illness. For this reason, considerable effort has been made to apply and develop measures that consider patient's perception and assess the HRQoL of individuals affected by AA. The aim of this multicentric study was to provide the Italian version of the Skindex-16AA and to evaluate its psychometric properties in a clinical sample of consecutive patients with moderate-to-severe AA.

Methods

This is a longitudinal, multicenter, observational study. Patients returned for follow-up visits at 4-, 12-, and 24-weeks. The analyses of the current work aimed to confirm the factorial structure of the Skindex-16AA. In the case of non-fit, an alternative structure for the model was proposed, using an Exploratory Graph Analysis and the Bayesian approach.

Results

The sample was composed of 106 patients with AA. Alopecia Universalis was the most frequently diagnosed type of alopecia at all time points. The analyses on the Skindex-16AA revealed that a two-factor structure with eight items fit the data best (Bayesian Posterior Predictive Checking using 95% Confidence Interval for the Difference Between the Observed and the Replicated Chi-Square values = −6.246/56.395, Posterior Predictive P-value = 0.06), and reported satisfactory psychometric properties (i.e., internal consistency and convergent validity).

Conclusion

The Skindex-8AA demonstrated optimal psychometric properties (i.e., convergent and construct validity, and test-retest reliability) measured in a sample of patients with AA, that may suggest that it is an appropriate tool to measure the HRQoL in AA patients. However, further studies are needed in order to confirm and tested other psychometric features of this tool.
Spatial effects of township health centers’ health resource allocation efficiency in China
Authors: Meng Nannan , Shen Keyi , Zheng Xinyue , Li Chengcheng , Lin Xinhao , Pei Tong , Wu Dan , Meng Xuehui
Published: August 2024

Introduction

China is a large agricultural nation with the majority of the population residing in rural areas. The allocation of health resources in rural areas significantly affects the basic rights to life and health for rural residents. Despite the progress made by the Chinese government in improving rural healthcare, there is still room for improvement. This study aims to assess the spatial spillover effects of rural health resource allocation efficiency in China, particularly focusing on township health centers (THCs), and examine the factors influencing this efficiency to provide recommendations to optimize the allocation of health resources in rural China.

Methods

This study analyzed health resource allocation efficiency in Chinese rural areas from 2012 to 2021 by using the super-efficiency SBM model and the global Malmquist model. Additionally, the spatial auto-correlation of THC health resource allocation efficiency was verified through Moran test, and three spatial econometric models were constructed to further analyze the factors influencing efficiency.

Results

The key findings are: firstly, the average efficiency of health resource allocation in THCs was 0.676, suggesting a generally inefficient allocation of health resources over the decade. Secondly, the average Malmquist productivity index of THCs was 0.968, indicating a downward trend in efficiency with both non-scale and non-technical efficient features. Thirdly, Moran’s Index analysis revealed that efficiency has a significant spatial auto-correlation and most provinces’ values are located in the spatial agglomeration quadrant. Fourthly, the SDM model identified several factors that impact THC health resource allocation efficiency to varying degrees, including the efficiency of total health resource allocation, population density, PGDP, urban unemployment rate, per capita disposable income, per capita healthcare expenditure ratio, public health budget, and passenger traffic volume.

Discussion

To enhance the efficiency of THC healthcare resource allocation in China, the government should not only manage the investment of health resources to align with the actual demand for health services but also make use of the spatial spillover effect of efficiency. This involves focusing on factors such as total healthcare resource allocation efficiency, population density, etc. to effectively enhance the efficiency of health resource allocation and ensure the health of rural residents.
Comparison of secular trends of leukemia in China and the United States from 1990 to 2021 and their projections for the next 15 years
Authors: Ge Xinyi , Zhang Lifei , Zhang Qiaolei , Feng Jianhua , Yang Linlin , Tong Yuxin , Zheng Shan , Tan Yamin
Published: August 2024

Background

Leukemia imposes a large healthcare burden both in China and the United States (US). The disease burden differs greatly between the two countries, but related research is limited. We explored the differences in leukemia incidence and mortality between China and the US.

Methods

Data on leukemia in China and the US from 1990 to 2021 were collected from the Global Burden of Disease 2021 database. Incidence and mortality were used to estimate the disease burden, and joinpoint regression was performed to compare their secular trends. We used an age-period-cohort model to analyze the effects of age, period, and birth cohort and project future trends in the next 15 years.

Results

In 2021, the age-standardized incidence rate (ASIR) and the age-standardized death rate (ASDR) of leukemia were lower in China than in the US. However, the incidence and mortality of acute lymphoblastic leukemia (ALL) was considerably higher in China. In the past decades, the ASIR showed decreased tendency in the US, while ASIR showed stable in China. The ASDR tended to decrease in both countries from 1990 to 2021. Males have higher rates of incidence and mortality than females in two countries. The age effects showed that children and older individuals have higher RRs for incidence and mortality in China, while the RRs for incidence and mortality in the US particularly increased in the older population. The disease burden of leukemia in children is obviously greater in China. The ASIRs and ASDRs of leukemia will continue to decline in the next 15 years in China and the US, with the US experiencing a more obvious downtrend.

Conclusions

Over the past decades, the ASDRs in two countries both tended to decrease. And compared to the US, China had lower leukemia incidence and mortality, However, the ASIRs in China tended toward stable, which it was showed downtrend in the US. Children have obviously greater RRs for incidence and mortality in China. The incidence and mortality will decrease continuously in two countries. Effective intervention measures are needed to reduce the burden of leukemia.
Unraveling information processes of decision-making with eye-tracking data
Authors: Ting Chih-Chung , Gluth Sebastian
Published: August 2024

Eye movements are strongly linked to the perception of visual information and can be used to infer mental processes during decision-making. While eye-tracking technology has been available for several decades, the incorporation of eye-tracking data into computational models of decision making is relatively new in neuroeconomics. This review article provides an overview of the interaction between eye movement and choices, highlighting the value of eye-tracking data in decision-making research. First, we provide an overview of empirical work studying the interaction between eye movement and choices. In the second part, we present existing models that incorporate eye-tracking data into process models of decision-making, emphasizing their assumptions regarding the role of attention in choice formation and contrasting models that use gaze data to inform behavioral predictions with those that attempt to predict eye movements themselves. Additionally, we discuss the potential of using cognitive models to understand the connection between choice and gaze patterns and normative aspects of decision-making. Overall, this review underscores the significant role of eye-tracking data in understanding decision-making processes, particularly in the field of neuroeconomics, and its potential to provide valuable insights into individual differences in decision-making behavior.
Socially assistive walker for daily living assistance in older adults
Authors: Sierra M. Sergio D. , Harris Nigel , Múnera Marcela , Cifuentes Carlos A.
Published: August 2024

Introduction

This paper addresses the growing healthcare needs of an ageing population and the lack of advanced technologies with social capabilities that are cost effective, user friendly, and readily adopted. In response to this motivation, a socially assistive walker is designed to provide physical and cognitive support in activities of daily living for older adults.

Methods

Physical and cognitive support is provided by walker’s structure, sensors, and feedback interfaces to assist users daily living activities, as well as, in navigating environment safely and efficiently. The walker’s design arises from semi-structured interviews conducted with ageing experts, leading to the development of two levels or modes of social interaction, namely low and high interaction.

Results and discussion

In a cohort of 14 adults, the study found the device easy to use regardless of the interaction mode, with 78.5% expressing a preference for the version featuring embodiment, verbal feedback, and more proactive cues (p< 0.05). The results also prompted ideas and suggestions for new designs based on insights gleaned from the user. This research contributes to the field of socially assistive robotics by offering an example of a user centred approach to address the healthcare challenges an ageing population poses.
Examining technical efficiency, prospects, and policies of farmers: data from a developing nation’s pineapple production
Authors: Datta Tumpa , Saha Jiban Krishna , Rahman Mohammad Ataur , Adnan K. M. Mehedi , Akter Khadija , Chowdhury Abhijit , Alamgir Md. Shah
Published: August 2024

Introduction

The unique characteristics of pineapples as a perennial plant, which guarantee their quick proliferation and adoption in both the tropics and subtropics, readily justify their economic significance. Although pineapple is a popular tropical fruit among Bangladeshi citizens, they continue to produce fewer pineapples than other international producers with limited export offerings. Hence, the study aimed to estimate the technological efficiency, prospects, and policies of pineapple growers in the northeastern district of Bangladesh.

Methods

One hundred respondent growers were surveyed directly to gather cross-sectional data using a multistage sampling technique. The technical efficiency scores of individual farms were calculated using the stochastic frontier model with the technical inefficiency model for identifying factors responsible for inefficiency.

Results

The technical efficiency scores range from about two-thirds to the absolute efficiency level, with a mean technical efficiency above the ninety percent level. The technical inefficiency effect model interpreted that farmers’ age and education had a significant positive impact, whereas credit, training, and family size had a significant negative impact on inefficiency.

Discussion

Findings indicated that sampled farmers may use inputs more efficiently and raise their yield by nearly one-twentieth. Therefore, the study suggests that the government should concentrate on strategies to attract young growers, as they are more capable of managing resources effectively and willing to accept technological breakthroughs. The study’s conclusions have significant policy ramifications specifically in the areas of finance, education and skills, and rural development that the Government should consider to increase farmer’s productivity and overcome various challenges while upholding national interests and ensuring the farming sector’s continued prosperity. To commercialize pineapple production and establish Bangladesh as a prominent production zone, more research and development are needed.
Development and validation of a tool to assess knowledge, attitudes, and practices toward diet sustainability
Authors: Hilary Serene , Safi Samir , Sabir Rubina , Numan Asma Bahaaldeen , Zidan Souzan , Platat Carine
Published: August 2024

This study aimed to develop and validate an instrument, the Sustainable Diets Questionnaire (SDQ), to assess the knowledge, attitude, and practice of sustainable diets in adult populations. A panel of four nutritionists identified 63 items through a literature review and refined them to a 54-item model for validation across four domains: Knowledge domain (K, eight items), Attitude domain (A, 18 items), Practice domain (P, 16 items) and Consumption Habits domain (D, 12 items). The validation process consisted of a pilot with 86 individuals (Phase 1) and a larger study with 389 participants (Phase 2). Confirmatory Factor Analysis (CFA) was conducted in both phases to verify model fit. In Phase 1, the initial four-factor model did not converge, indicating a need for item modification and a revised three-factor model (K domain, eight items; A domain, 18 items; new P domain, 28 items). In Phase 2, the new model showed improvement in fit indices with a Scaled Chi-Square of 2.415, Comparative Fit Index (CFI) of 0.863, Goodness of Fit Index (GFI) of 0.747, Tucker-Lewis Index (TLI) of 0.851 and the Root Mean Square Error (RMSE) was 0.066, although some indices fell below the 0.9 threshold. The Cronbach’s α for the Knowledge, Attitude, and Practice domains were 0.9, 0.96, and 0.897, respectively, with an overall α of 0.959. There was no significant difference between the first and second attempts of the SDQ model, indicating good test–retest reliability. There was also a significant positive correlation between the response scores of K, A, and P domains (K vs. A, r = 0.575, p < 0.001; K vs. P, r = 0.496, p ≤ 0.001 and A vs. P, r = 0.665, p ≤ 0.001). The study concludes that the three-factor model of SDQ is a valid and reliable tool for understanding the knowledge, attitudes, and practices of sustainable diets among adults.
Fecal elimination of fluralaner in different carnivore species after oral administration
Authors: Berny Philippe Jacques , Belhadj Dalil , España Bernadette , Lécu Alexis
Published: August 2024

Fluralaner is a recent external parasiticide, first of a new class of drugs (isoxazoline parasiticides). It is widely used in companion animals both for its wide spectrum (fleas, ticks and other mites) but also for its ease of use (oral tablets given once for 1 to three months). It is known to be eliminated primarily via the feces (>90%) as the unchanged compound. In zoo carnivores, controlling external parasites is also important and there are no specific products with a marketing authorization to control them. The first objective of this study was to evaluate the pharmacokinetic profile of fluralaner in zoo carnivores. The second objective was to demonstrate that fluralaner can be eliminated over a prolonged period of time, thereby raising questions about its potential impact on non-target species such as arthropods. After adjusting the oral dose using allometric equations, animals were dosed and fecal samples were collected on a regular basis for up to three months to determine the fecal elimination curve of fluralaner as a surrogate of plasma kinetics (for ethical and safety reasons, plasma samples were not considered). All samples were analyzed with a validated LC-MSMS technique. Our results show that, despite limitations and a limited number of animals included, most carnivores eliminate fluralaner in their feces for several weeks to months (in Lions, fluralaner was still detectable after 89 days). To our knowledge, this is the first study demonstrating such a long elimination period in animals. Further studies would be required to investigate the risk associated with the presence of active residues in other carnivore feces for the environment, especially in dogs and cats, considering the large use of this class of compounds.
Directed Clustering of Multivariate Data Based on Linear or Quadratic Latent Variable Models
Authors: Zhang Yingjuan , Einbeck Jochen
Published: August 2024

We consider situations in which the clustering of some multivariate data is desired, which establishes an ordering of the clusters with respect to an underlying latent variable. As our motivating example for a situation where such a technique is desirable, we consider scatterplots of traffic flow and speed, where a pattern of consecutive clusters can be thought to be linked by a latent variable, which is interpretable as traffic density. We focus on latent structures of linear or quadratic shapes, and present an estimation methodology based on expectation–maximization, which estimates both the latent subspace and the clusters along it. The directed clustering approach is summarized in two algorithms and applied to the traffic example outlined. Connections to related methodology, including principal curves, are briefly drawn.
Detection of Subtle ECG Changes Despite Superimposed Artifacts by Different Machine Learning Algorithms
Authors: Noitz Matthias , Mörtl Christoph , Böck Carl , Mahringer Christoph , Bodenhofer Ulrich , Dünser Martin W. , Meier Jens
Published: August 2024

Analyzing electrocardiographic (ECG) signals is crucial for evaluating heart function and diagnosing cardiac pathology. Traditional methods for detecting ECG changes often rely on offline analysis or subjective visual inspection, which may overlook subtle variations, particularly in the case of artifacts. In this theoretical, proof-of-concept study, we investigated the potential of five different machine learning algorithms [random forests (RFs), gradient boosting methods (GBMs), deep neural networks (DNNs), an ensemble learning technique, as well as logistic regression] to detect subtle changes in the morphology of synthetically generated ECG beats despite artifacts. Following the generation of a synthetic ECG beat using the standardized McSharry algorithm, the baseline ECG signal was modified by changing the amplitude of different ECG components by 0.01–0.06 mV. In addition, a Gaussian jitter of 0.1–0.3 mV was overlaid to simulate artifacts. Five different machine learning algorithms were then applied to detect differences between the modified ECG beats. The highest discriminatory potency, as assessed by the discriminatory accuracy, was achieved by RFs and GBMs (accuracy of up to 1.0), whereas the least accurate results were obtained by logistic regression (accuracy approximately 10% less). In a second step, a feature importance algorithm (Boruta) was used to discriminate which signal parts were responsible for difference detection. For all comparisons, only signal components that had been modified in advance were used for discretion, demonstrating that the RF model focused on the appropriate signal elements. Our findings highlight the potential of RFs and GBMs as valuable tools for detecting subtle ECG changes despite artifacts, with implications for enhancing clinical diagnosis and monitoring. Further studies are needed to validate our findings with clinical data.
Research on Vibration Control Regarding Mechanical Coupling for Maglev Trains with Experimental Verification
Authors: Liang Shi , Dai Chunhui , Long Zhiqiang
Published: August 2024

The electromagnet module, as a fundamental component providing levitation force for maglev trains, plays a crucial role in ensuring the stability of train operation. However, vibrations can easily occur due to the mechanical coupling between the two suspension points of the electromagnet module. To reveal the inherent instability of the system and the coupling relationship between the state variables, a state-space equation that considers the mechanical coupling between the two suspension points is established. Furthermore, a differential control algorithm based on geometric feature transformation is proposed to mitigate the structural coupling vibration. Simulation experiments are conducted to compare the dynamic characteristics of the system before and after implementing the improvement algorithm under complex conditions. At the same time, the influence of control parameters on electromagnetic vibration was analyzed, focusing particularly on vibrations resulting from parameter mismatch, offering crucial insights for enhancing system stability. Additionally, suspension tests are carried out on the high-speed double bogie test platform in the Key Laboratory of Hunan Province to further validate the effectiveness of the proposed algorithm. The proposed control framework is both effective and concise, making it easy to implement in engineering applications. This research holds significant practical value in improving the stability of maglev trains.
Analysis of Cable Shielding and Influencing Factors for Indirect Effects of Lightning on Aircraft
Authors: Yang Zhangang , Wei Yuhao , Shi Xudong
Published: August 2024

The widespread use of composite materials with low electrical conductivity in modern advanced aircraft has placed higher requirements on lightning protection for airborne equipment. To ensure the safe operation of aircraft under a lightning environment, the internal cables and cable tracks of composite aircraft are modeled. The lightning protection performance of cables is calculated for different types and shielding parameters, and the effect of the cable layout inside a composite aircraft on the protection performance is analyzed. The role of the cable track in lightning protection is also verified. The calculation results show that the cable shield and track structure can provide good lightning protection for the cable in the electromagnetic exposure area, and the layout of the cable inside the aircraft has a greater impact on the protection performance. The analysis of cable shielding measures and their influencing factors can provide a reference for the performance improvement of cable screening measures for the lightning protection of composite aircraft.
Mechanistic Insights into Effects of Perforation Direction on Thermal Hydraulic Performance of Ribs in a Rectangular Cooling Channel
Authors: Qian Weijia , Shuai Ruiyang , Meng Qingkun , Roy Subhajit , Yao Songbai , Wang Ping
Published: August 2024

This study investigates the turbulent flow characteristics and heat transfer performance within a rectangular cooling channel with an aspect ratio of 5:3 and featuring perforated ribs, then explores the effects of the rib perforation directions on its thermal hydraulic performance. Through experimental tests (transient thermographic liquid crystal technique) and numerical simulations, it is demonstrated that horizontal perforated ribs can effectively reduce pressure loss at a high Reynolds number while maintaining notable heat transfer enhancement. Additionally, changing the rib perforation directions results in diverse effects on flow field and heat transfer. Our results show that horizontal perforated ribs can compress the recirculation vortex behind ribs, enhancing heat transfer by flow scouring, whereas upward-tilted perforated ribs increase flow friction and weaken heat transfer due to coupling of the airflow with the separation vortices behind the ribs. Downward-tilted ribs enhance local heat transfer by directing airflow behind the rib, and can also cause detachment of vortices and reduced friction. Our results indicate that introducing horizontal perforated ribs into a rectangular internal cooling channel can decrease pressure loss without significantly compromising heat transfer performance.