bluuebunny/crossref_metadata_2025 huggingface dataset:
Correlation between PD-L1 expression and radiomic features in early-stage lung adenocarcinomas manifesting as ground-glass nodules
Authors: Shi Wenjia , Yang Zhen , Zhu Minghui , Zou Chenxi , Li Jie , Liang Zhixin , Wang Miaoyu , Yu Hang , Yang Bo , Wang Yulin , Li Chunsun , Wang Zirui , Zhao Wei , Chen Liang’an
Published: September 2022

Background

Immunotherapy might be a promising auxiliary or alternative systemic treatment for early-stage lung adenocarcinomas manifesting as ground-glass nodules (GGNs). This study intended to investigate the PD-L1 expression in these patients, and to explore the non-invasive prediction model of PD-L1 expression based on radiomics.

Methods

We retrospectively analyzed the PD-L1 expression of patients with postoperative pathological diagnosis of lung adenocarcinomas and with imaging manifestation of GGNs, and divided patients into positive group and negative group according to whether PD-L1 expression ≥1%. Then, CT-based radiomic features were extracted semi-automatically, and feature dimensions were reduced by univariate analysis and LASSO in the randomly selected training cohort (70%). Finally, we used logistic regression algorithm to establish the radiomic models and the clinical-radiomic combined models for PD-L1 expression prediction, and evaluated the prediction efficiency of the models with the receiver operating characteristic (ROC) curves.

Results

A total of 839 “GGN-like lung adenocarcinoma” patients were included, of which 226 (26.9%) showed positive PD-L1 expression. 779 radiomic features were extracted, and 9 of them were found to be highly corelated with PD-L1 expression. The area under the curve (AUC) values of the radiomic models were 0.653 and 0.583 in the training cohort and test cohort respectively. After adding clinically significant and statistically significant clinical features, the efficacy of the combined model was slightly improved, and the AUC values were 0.693 and 0.598 respectively.

Conclusions

GGN-like lung adenocarcinoma had a fairly high positive PD-L1 expression rate. Radiomics was a hopeful noninvasive method for predicting PD-L1 expression, with better predictive efficacy in combination with clinical features.
Trigone ventricular glioblastoma multiforme with trapped temporal horn: A case report
Authors: Liu Lei , Wang Shaozhen , Dong Xuetao , Liu Yaodong , Wei Liudong , Kong Linghong , Zhang Qingjun , Zhang Kun
Published: September 2022

Background

Intraventricular glioblastoma multiforme (GBM) is extremely rare, especially in the trigone region. This report presents a case of trigone ventricular GBM with trapped temporal horn (TTH).

Case presentation

A 59-year-old woman was admitted to our department with a 1-month history of rapidly progressive headache, nausea, and weakness in the right lower extremity. Head non-contrast computed tomography and enhanced magnetic resonance imaging (MRI) revealed a trigone ventricular mass lesion with TTH and heterogeneous enhancement. The lesion was found 18 months ago as a small asymptomatic tumor mimicking ependymoma. This neoplasm was removed subtotally through the right parieto-occipital approach guided by neuroendoscopy. A ventriculoperitoneal shunt was subsequently performed to relieve TTH. The final pathological diagnosis was GBM. Unfortunately, 36 days after the first surgery, the patient died due to her family’s decision to refuse therapy.

Conclusion

This rare case shows that GBM should be considered in the differential diagnosis of trigonal tumors. In this case, the tumor possibly originated from the neural stem cells in the subventricular zone. Patients with intraventricular GBM have a worse prognosis, and careful follow-up and early surgery for small intraventricular tumors are necessary, even for those with ependymoma-like radiological findings.
Pain modulation in the spinal cord
Authors: Woolf Clifford J.
Published: September 2022

The sensory inflow from the periphery that triggers innocuous and painful sensations is highly complex, capturing key elements of the nature of any stimulus, its location, intensity, and duration, and converting this to dynamic action potential firing across a wide population of afferents. While sensory afferents are highly specialized to detect these features, their input to the spinal cord also triggers active processing and modulation there which determines its output, to drive the sensory percept experienced and behavioral responses. Focus on such active spinal modulation was arguably first introduced by Melzack and Wall in their Spinal Cord Gate Control theory. This theory has had a profound influence on our understanding of pain, and especially its processing, as well as leading directly to the development of clinical interventions, and its historical importance certainly needs to be fully recognized. However, the enormous progress we are making in the understanding of the function of the somatosensory system, means that it is time to incorporate these newly discovered features into a more complex and accurate model of spinal sensory modulation.
The proper timing of virtual reality experience for reducing preoperative anxiety of pediatric patients: A randomized clinical trial
Authors: Ryu Jung-Hee , Ko Dayoung , Han Ji-Won , Park Jin-Woo , Shin Aesun , Han Sung-Hee , Kim Hyun-Young
Published: September 2022

Background

The virtual reality (VR) experience of an operation room (OR) prior to anesthesia and surgery has been known to reduce the anxiety and distress of pediatric patients. However, the proper timing needed for this is unknown. This randomized clinical study aimed to evaluate the proper timing of a VR tour of an OR (a few days before vs. immediately before anesthesia) to reduce the anxiety in a pediatric patient undergoing elective surgery.

Methods

The children from the ages of 4–10 years old were randomly divided into three groups. The control group received standard verbal information about the process of anesthesia and surgery 10 min before anesthesia. The VR A group experienced a VR tour at the outpatient clinic a few days before anesthesia, whereas the VR B group experienced the tour 10 min before anesthesia at the reception area of the OR. The 4-min VR video used in this study showed the experience of Pororo, an animation character, entering the OR and undergoing anesthesia. We evaluated the anxiety of children using the modified Yale preoperative anxiety scale (m-YPAS), the anxiety of caregivers using Beck anxiety inventory (BAI), and caregivers’ satisfaction.

Results

The m-YPAS of the VR B group was significantly lower than that of the control and VR A groups (p = 0.001), whereas there was no statistically significant difference in BAI (p = 0.605) among the 3 groups. The score of caregivers’ satisfaction with the overall process of anesthesia and surgery was higher in VR A group than in the control and VR B groups (p = 0.054).

Conclusion

The VR experience of an OR immediately before anesthesia was more effective than standard verbal information or a VR tour at the outpatient clinic a few days before anesthesia in reducing the anxiety and distress of children prior to surgery.

Clinical trial registration

[https://cris.nih.go.kr/cris/search/detailSearch.do/20773], identifier [KCT0006845].
Early care and support for young children with developmental disabilities and their caregivers in Uganda: The Baby Ubuntu feasibility trial
Authors: Nanyunja Carol , Sadoo Samantha , Kohli-Lynch Maya , Nalugya Ruth , Nyonyintono James , Muhumuza Anita , Katumba Kenneth R. , Trautner Emily , Magnusson Brooke , Kabugo Daniel , Cowan Frances M. , Zuurmond Maria , Morgan Catherine , Lester Deborah , Seeley Janet , Webb Emily L. , Otai Christine , Greco Giulia , Nampijja Margaret , Tann Cally J.
Published: September 2022

Background

Early care and support provision for young children with developmental disabilities is frequently lacking, yet has potential to improve child and family outcomes, and is crucial for promoting access to healthcare and early education. We evaluated the feasibility, acceptability, early evidence of impact and provider costs of the Baby Ubuntu participatory, peer-facilitated, group program for young children with developmental disabilities and their caregivers in Uganda.

Materials and methods

A feasibility trial, with two parallel groups, compared Baby Ubuntu with standard care. Caregivers and children, aged 6–11 months with moderate-severe neurodevelopmental impairment, were recruited and followed for 12 months. Quantitative and qualitative methods captured information on feasibility (ability to recruit), acceptability (satisfactory attendance), preliminary evidence of impact (family quality of life) and provider costs.

Results

One hundred twenty-six infants (median developmental quotient, 28.7) were recruited and randomized (63 per arm) over 9 months, demonstrating feasibility; 101 (80%) completed the 12-month follow-up assessment (9 died, 12 were lost to follow up, 4 withdrew). Of 63 randomized to the intervention, 59 survived (93%); of these, 51 (86%) attended ≥6 modules meeting acceptability criteria, and 49 (83%) completed the 12 month follow-up assessment. Qualitatively, Baby Ubuntu was feasible and acceptable to caregivers and facilitators. Enabling factors included community sensitization by local champions, positive and caring attitudes of facilitators toward children with disability, peer support, and the participatory approach to learning. Among 101 (86%) surviving children seen at 12 months, mixed methods evaluation provided qualitative evidence of impact on family knowledge, skills, and attitudes, however impact on a scored family quality of life tool was inconclusive. Barriers included stigma and exclusion, poverty, and the need to manage expectations around the child’s progress. Total provider cost for delivering the program per participant was USD 232.

Conclusion

A pilot feasibility trial of the Baby Ubuntu program found it to be feasible and acceptable to children, caregivers and healthcare workers in Uganda. A mixed methods evaluation provided rich programmatic learning including qualitative, but not quantitative, evidence of impact. The cost estimate represents a feasible intervention for this vulnerable group, encouraging financial sustainability at scale.

Clinical trial registration

[https://doi.org/10.1186/ISRCTN44380971], identifier [ISRCTN44380971].
Podoplanin: Its roles and functions in neurological diseases and brain cancers
Authors: Wang Yi , Peng Dan , Huang Yaqian , Cao Yongjun , Li Hui , Zhang Xia
Published: September 2022

Podoplanin is a small mucin-like glycoprotein involved in several physiological and pathological processes in the brain including development, angiogenesis, tumors, ischemic stroke and other neurological disorders. Podoplanin expression is upregulated in different cell types including choroid plexus epithelial cells, glial cells, as well as periphery infiltrated immune cells during brain development and neurological disorders. As a transmembrane protein, podoplanin interacts with other molecules in the same or neighboring cells. In the past, a lot of studies reported a pleiotropic role of podoplanin in the modulation of thrombosis, inflammation, lymphangiogenesis, angiogenesis, immune surveillance, epithelial mesenchymal transition, as well as extracellular matrix remodeling in periphery, which have been well summarized and discussed. Recently, mounting evidence demonstrates the distribution and function of this molecule in brain development and neurological disorders. In this review, we summarize the research progresses in understanding the roles and mechanisms of podoplanin in the development and disorders of the nervous system. The challenges of podoplanin-targeted approaches for disease prognosis and preventions are also discussed.
Lagotis brachystachya maxim attenuates chronic alcoholic liver injury combined with gouty arthritis in rats via its anti-inflammatory activity
Authors: Guo Min-Xia , Zhang Man-Man , Yang Hai-Yan , Zhang Chu-Ling , Cheng Hong-Yu , Li Na-Zhi , Yi Li-Tao , Zhu Ji-Xiao
Published: September 2022

Lagotis brachystachya Maxim, a common herb in Tibetan medicine, is mainly used to treat pneumonia, hepatitis, yellow water disease (gouty arthritis). Since long-term heavy drinking is also a risk factor for gouty arthritis, the present study aimed to evaluate the underlying protective role and mechanism of extracts of Lagotis brachystachya (ELB) in chronic alcoholic liver injury combined with gouty arthritis. The rat chronic alcoholic liver injury combined with gouty arthritis model was established by long-term alcohol consumption and monosodium urate (MSU) injection. The therapeutical action of ELB was then evaluated by biochemical measurement, histopathological examination, ankle swelling assessment, and protein detection. According to biochemical measurements and histopathological evaluation, ELB could alleviate the symptoms of alcoholic liver injury combined with gouty arthritis. In addition, chronic alcohol consumption and MSU activated inflammatory-related signaling such as TLR4/MyD88/NF-κB, NLRP3, and JAK2/STAT3 pathways in the liver and synovial tissues, while ELB significantly inhibited the activation of the inflammatory signaling pathway. In conclusion, ELB is protective in rats with chronic alcoholic liver injury and gouty arthritis, possibly mediated by the inhibition of TLR4/MyD88/NF-κB, NLRP3, and JAK2-STAT3 signaling pathways in both the hepatic and synovial tissues.
Review of the cold atmospheric plasma technology application in food, disinfection, and textiles: A way forward for achieving circular economy
Authors: Reema  , Khanikar Rakesh Ruchel , Bailung Heremba , Sankaranarayanan Kamatchi
Published: September 2022

Cold atmospheric plasma (CAP) is a promising technology quite useful in many industries including biotechnology, biomedical, textiles, and food processing. The contrivance of plasma technology can be a potential game-changer to use in any possible way in these industries. This CAP technology is technically a green process with no generation of chemically harmful substances with more ecological and economic benefits. This review article will focus on the research done in the textile industry and food processing, how plasma brings in an effective change in these industrial sectors as well the as application of CAP in disinfection, sterilization, microbial inactivation, and surface modification to obtain desirable results. Recently, there have been reports of successful use of CAP technology for surface inactivation of SARS-CoV-2, plasma-activated water for disinfection of SARS-CoV-2. This article will streamline the innovations in textiles and food industries achieved using plasma technology and what gaps industries face while manufacturing. The focus will be on what research has already done while depicting the gaps and opportunities for using plasma technology in these industries and making use of it to achieve a circular economy, which is one of the major policies of the European countries. A circular economy enables manufactures to produce goods which can be reused, recycled, refurbished, and repaired rather than scrapping them after a single use. The reduction of harmful chemicals, wastewater treatment, and sterilization is achieved using plasma technology and allows reusing the resources which consequently helps to achieve most of the UN’s sustainable development goals and help society to live a sustainable and better life.
A workflow for segmenting soil and plant X-ray computed tomography images with deep learning in Google’s Colaboratory
Authors: Rippner Devin A. , Raja Pranav V. , Earles J. Mason , Momayyezi Mina , Buchko Alexander , Duong Fiona V. , Forrestel Elizabeth J. , Parkinson Dilworth Y. , Shackel Kenneth A. , Neyhart Jeffrey L. , McElrone Andrew J.
Published: September 2022

X-ray micro-computed tomography (X-ray μCT) has enabled the characterization of the properties and processes that take place in plants and soils at the micron scale. Despite the widespread use of this advanced technique, major limitations in both hardware and software limit the speed and accuracy of image processing and data analysis. Recent advances in machine learning, specifically the application of convolutional neural networks to image analysis, have enabled rapid and accurate segmentation of image data. Yet, challenges remain in applying convolutional neural networks to the analysis of environmentally and agriculturally relevant images. Specifically, there is a disconnect between the computer scientists and engineers, who build these AI/ML tools, and the potential end users in agricultural research, who may be unsure of how to apply these tools in their work. Additionally, the computing resources required for training and applying deep learning models are unique, more common to computer gaming systems or graphics design work, than to traditional computational systems. To navigate these challenges, we developed a modular workflow for applying convolutional neural networks to X-ray μCT images, using low-cost resources in Google’s Colaboratory web application. Here we present the results of the workflow, illustrating how parameters can be optimized to achieve best results using example scans from walnut leaves, almond flower buds, and a soil aggregate. We expect that this framework will accelerate the adoption and use of emerging deep learning techniques within the plant and soil sciences.
Variation characteristics of different plant functional groups in alpine desert steppe of the Altun Mountains, northern Qinghai-Tibet Plateau
Authors: Zhang Ailin , Li Xiangyi , Zeng Fanjiang , Jiang Yong , Wang Ruzhen
Published: September 2022

In grassland ecosystems, the plant functional group (PFG) is an important bridge connecting individual plants to the community system. The grassland ecosystem is the main ecosystem type on the Qinghai-Tibet Plateau. Altun Mountain is located in the key grassland transcontinental belt of the northern Qinghai-Tibet Plateau. The composition and changes in the PFG in this ecosystem reflect the community characteristics in the arid and semi-arid extreme climate regions of the Plateau. The main PFGs were forbs and grasses, and the importance values (IVs) accounted for more than 50%. Plant species diversity of the community was influenced by the IV of the legumes, and the increase in legumes would promote the increase in plant community diversity. The C, N, and P contents of plant communities were mainly influenced by forbs and grasses, and the relationship between forbs and C, N, and P was opposite to that of grasses. However, under the influence of different hydrothermal conditions, forbs and grasses as dominant functional groups had a stronger correlation with community and soil nutrients. This indicates that the dominant PFGs (forbs and grasses) can dominate the C, N, and P contents of the community and soil, and legumes affect community composition and succession. In this study, we analyzed the changing characteristics of functional groups in dry and cold extreme environments and the difference in their impacts on community development compared with other grassland ecosystem functional groups.
Real-time guava tree-part segmentation using fully convolutional network with channel and spatial attention
Authors: Lin Guichao , Wang Chenglin , Xu Yao , Wang Minglong , Zhang Zhihao , Zhu Lixue
Published: September 2022

It is imminent to develop intelligent harvesting robots to alleviate the burden of rising costs of manual picking. A key problem in robotic harvesting is how to recognize tree parts efficiently without losing accuracy, thus helping the robots plan collision-free paths. This study introduces a real-time tree-part segmentation network by improving fully convolutional network with channel and spatial attention. A lightweight backbone is first deployed to extract low-level and high-level features. These features may contain redundant information in their channel and spatial dimensions, so a channel and spatial attention module is proposed to enhance informative channels and spatial locations. On this basis, a feature aggregation module is investigated to fuse the low-level details and high-level semantics to improve segmentation accuracy. A tree-part dataset with 891 RGB images is collected, and each image is manually annotated in a per-pixel fashion. Experiment results show that when using MobileNetV3-Large as the backbone, the proposed network obtained an intersection-over-union (IoU) value of 63.33 and 66.25% for the branches and fruits, respectively, and required only 2.36 billion floating point operations per second (FLOPs); when using MobileNetV3-Small as the backbone, the network achieved an IoU value of 60.62 and 61.05% for the branches and fruits, respectively, at a speed of 1.18 billion FLOPs. Such results demonstrate that the proposed network can segment the tree-parts efficiently without loss of accuracy, and thus can be applied to the harvesting robots to plan collision-free paths.
Theoretical and methodological approaches to activism during the COVID-19 pandemic— between continuity and change
Authors: Coen Sharon , Vezzoli Michela , Zogmaister Cristina
Published: September 2022

In order to understand the way in which scholars approach the study of activism at a time of crisis, a scoping review was conducted to identify the extant empirical work on activism during the COVID-19 crisis. Our search resulted in 23 published papers across disciplines. Results showed elements of continuity and change in scholars' theoretical and empirical approaches to new and old forms of activism emerging at this time of crisis. In general, we found that COVID-19 led to the employment of novel and adaptive approaches from both the activists and the researchers, who tactically modified their strategies in light of the new demands. We conclude by suggesting that incorporating an analysis of the tools of protest, combined with an analysis of the adaptive strategies adopted by communities at a time of crisis might further our understanding of the ontology—as well as the epistemology—of social movements. Moreover, the study highlighted existing tensions between academia and other social stakeholders, which deserve further exploration.
Loneliness and lack of belonging as paramount theme in identity descriptions of Children Born of War
Authors: Mitreuter Saskia , Glaesmer Heide , Kuwert Philipp , Kaiser Marie
Published: September 2022

Objective

Children Born of War (CBOW) are an international and timeless phenomenon that exists in every country involved in war or armed conflict. Nevertheless, little is known on a systematic level about those children, who are typically fathered by a foreign or enemy soldier and born to a local mother. In particular, the identity issues that CBOW often report have remained largely uninvestigated. In the current qualitative study we began filling this gap in the scientific literature by asking how CBOW construct their identity in self-descriptions.

Method

We utilized thematic content analysis of N = 122 German CBOWs' answers to an open-ended questionnaire item asking how they see themselves and their identity in the context of being a CBOW.

Results

We identified five key themes in CBOW' identity accounts. Loneliness and lack of belonging appeared as a paramount aspect of their self-descriptions next to narratives about belonging and positive relationship. On a less interpersonal basis, we found fighting and surviving and searching for truth and completion overarching aspects of their identities. There were also few accounts growing up unaffected by the fact of being born a CBOW. Although all themes portray different perspectives, they all (but the last one) clearly indicate the impeded circumstances under which CBOW had to grow up.

Conclusions

Integrating our findings with existing interdisciplinary literature regarding identity, we discuss implications for future research and clinical and political practice.
Assessment of multiple subjects' synergetic governance in vocational education
Authors: Wu Min , Sarker Md Nazirul Islam
Published: September 2022

Synergetic governance is a practical approach to ensure quality in the teaching-learning process at multi-dimensional perspectives. This study intends to explore the potential of a synergetic governance approach in the vocational education system. A systematic literature review has been done by applying the PRISMA approach. The last 21 years' literature has been analyzed, and a synergetic governance model has been developed. This study reveals that the synergetic governance of education deals with integrating all available resources to enhance development by meeting the demands of market, society, and nation as a new paradigm. An effective vocational education system requires the participation of all related stakeholders in the governance system. This study has developed an “intervention-approach-synergy-integration” mechanism to show how the education elements are connected to each other. The study reveals that the major synergetic elements are openness, equilibrium, dynamism and cooperation. To ensure synergetic governance, these elements should be integrated with an educational institution, market, public, society, state and private organization. It argues that the synergetic governance of these related components can reduce the demand and supply gap of quality vocational graduates in the industry – academy sectors. This study recommends incorporating multi-subjects' synergetic governance to expedite the marketable quality of vocational education.
Transformative learning in the setting of religious healers: A case study of consultative mental health workshops with religious healers, Ethiopia
Authors: Baheretibeb Yonas , Soklaridis Sophie , Wondimagegn Dawit , Martimianakis Maria Athina (Tina) , Law Samuel
Published: September 2022

Objective

Psychiatric interventions that consider the socio-cultural and spiritual traditions of patients are needed to address stigma and improve access to mental health services. Productive collaboration between traditional healers and biomedical practitioners hold promise in such efforts, and applying tenets of transformative learning hold potential for mitigating an overemphasis on biomedical models in such collaboration. We present a framework for how to engage in health system reform to enhance mental health services in communities that are distrustful of, or unfamiliar with biomedical approaches. Our research question was how to bridge two seemingly opposing paradigms of mental health care, and we sought to understand how the theory of transformational learning (TLT) can be applied to learning among Religious healers and biomedical practitioners in culturally appropriate ways to improve collaboration.

Methods

TLT informed the development, implementation, and evaluation of an educational intervention in Addis Ababa, Ethiopia that aimed to improve delivery of mental health services at two Holy water sites. The initiative involved both psychiatrists and religious healers with extensive experience providing care to mentally ill patients. Using a focused ethnographic approach that incorporates document analysis methodology, this qualitative study examined recordings and minutes of stakeholder meetings, workshops and informal interviews with participants, analyzed for evidence of Mezirow's 11 stages of transformative learning. A participatory action approach was used to encourage practice change.

Results

All participants exhibited a high degree of engagement with the of the collaborative project and described experiencing “disorienting dilemmas” by Mezirow's classic description. Opportunities to reflect separately and in large groups encouraged a re-examination of attitudes previously contributing to siloed approaches to care and led to instrumental changes in mental health care delivery and a higher degree of coordination and collaboration between psychiatrists and traditional healers.

Conclusion

Our study demonstrates the utility of TLT in both the design and evaluation of initiatives aiming to bridge cross-cultural and cross-professional divides. The learning process was further enhanced by a collaborative participatory action model adjusted to accommodate Ethiopian socio-political and cultural relations.
The experiences of caregivers of children with epilepsy: A meta-synthesis of qualitative research studies
Authors: Yu Zhichao , Shao Qinwen , Hou Kunhua , Wang Yanjie , Sun Xianghong
Published: September 2022

Objective

Epilepsy is one of the most common chronic neurological disorders in children. The caregivers of these children bear heavy burden of care in the process of taking care of them. The objective of this metasynthesis was to explore the experiences and needs of caregivers of children with epilepsy.

Methods and data sources

Eight databases (PubMed, CINAHL, EMBASE, Web of Science, CNKI, Wanfang Data, VIP database, and CBM) were searched for qualitative studies from each database's inception to 31 June 2021. Studies were critically appraised using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Qualitative Research. Qualitative data were extracted, summarized, and meta-synthesized.

Results

13 studies were included, covering the data of 316 participants. 36 research results were extracted from these studies, which were combined into 11 categories, and finally formed 4 themes: (a) heavy burden of care; (b) emotional experience; (c) coping strategies; (d) care needs.

Conclusion

Caregivers beared a heavy burden of care and psychological burden. Despite the adoption of different coping strategies, their emotional distress was still very serious. Caregivers had unmet care needs. In order to improve caregivers' care capacity, the society and healthcare workers need to provide them with information support, psychological support, and take measures to create a friendly medical and living environment for them.

Impact

Understanding the experiences of caregivers of children with epilepsy will inform future research and practice. Healthcare workers could develop interventions to reduce caregiver burden and improve the level of caregivers' mental health. On the other hand, effective programs should be designed to improve caregivers' knowledge of the disease and enhance their ability to care. Society needs to take steps to improve the medical environment and the social stigma that is not friendly to epilepsy.
Decrease in COVID-19 adverse outcomes in adults during the Delta and Omicron SARS-CoV-2 waves, after vaccination in Mexico
Authors: Domínguez-Ramírez Lenin , Solis-Tejeda Itzel , Ayon-Aguilar Jorge , Mayoral-Ortiz Antonio , Sosa-Jurado Francisca , Pelayo Rosana , Santos-López Gerardo , Cortes-Hernandez Paulina
Published: September 2022

Mexico, one of the countries severely affected by COVID-19, accumulated more than 5. 1 all-cause excess deaths/1,000 inhabitants and 2.5 COVID-19 confirmed deaths/1,000 inhabitants, in 2 years. In this scenario of high SARS-CoV-2 circulation, we analyzed the effectiveness of the country's vaccination strategy that used 7 different vaccines from around the world, and focused on vaccinating the oldest population first. We analyzed the national dataset published by Mexican health authorities, as a retrospective cohort, separating cases, hospitalizations, deaths and excess deaths by wave and age group. We explored if the vaccination strategy was effective to limit severe COVID-19 during the active outbreaks caused by Delta and Omicron variants. Vaccination of the eldest third of the population reduced COVID-19 hospitalizations, deaths and excess deaths by 46–55% in the third wave driven by Delta SARS-CoV-2. These adverse outcomes dropped 74–85% by the fourth wave driven by Omicron, when all adults had access to vaccines. Vaccine access for the pregnant resulted in 85–90% decrease in COVID-19 fatalities in pregnant individuals and 80% decrease in infants 0 years old by the Omicron wave. In contrast, in the rest of the pediatric population that did not access vaccination before the period analyzed, COVID-19 hospitalizations increased >40% during the Delta and Omicron waves. Our analysis suggests that the vaccination strategy in Mexico has been successful to limit population mortality and decrease severe COVID-19, but children in Mexico still need access to SARS-CoV-2 vaccines to limit severe COVID-19, in particular those 1–4 years old.
Analysis of burnout and its influencing factors among prison police
Authors: Gao Jin , Du Xinyang , Gao Qing
Published: September 2022

Background

Burnout among prison police is an occupational health issue in the field of public health. Although burnout has been a hot issue for decades, there has not been a focus on the specific group of prison police. This study explores the burnout status and its influencing factors among prison police.

Methods

The Maslach Burnout Questionnaire—General Survey (MBI-GS) was used to conduct a questionnaire survey among 1,024 prison police.

Results

It indicates that emotional exhaustion, negative detachment, and self-efficacy were the most significant dimensions of the burnout among prison police officers. The results of multiple linear regression analysis showed that gender (−0.201, P = 8.8958E-11 <0.05), workload (−0.441, P = 1.6287E-9 <0.05), whether they have direct contact with supervisory subjects (−0.394, P = 2.1449E-39 <0.05), and a sense of organizational support (−0.298, P = 3.7182E-7 <0.05) were risk factors for burnout in prison police.

Conclusions

Burnout among prison officers can be reduced through preferential treatment of prison police, sound organizational mechanisms, and self-improvement of prison police.
Household clean energy consumption and health: Theoretical and empirical analysis
Authors: Li Fanghua , Liang Wei , Chandio Abbas Ali , Zang Dungang , Duan Yinying
Published: September 2022

The impact of energy consumption on health has become a widely debated topic around the world. However, much of the current research on this topic lacks a theoretical basis. As a result, this paper employs both theoretical and empirical analysis to investigate the impact of household clean energy consumption on residents' health. First, based on the theories of health economics and energy economics, this paper believes that the usage of clean energy can improve the health of residents. Then, the sample for this study is comprised of data from the 2018 China Health and Retirement Longitudinal Study, and the Order Probit Model is applied for the empirical analysis. The outcomes of basic regression, robustness testing, and the treatment of endogenous factors reveal that the usage of clean energy has greatly benefited the health of residents. Furthermore, the heterogeneity analysis shows that long-term use of clean energy greatly improved the health of non-religious people and had a more pronounced impact on the health of women and low-income residents. In addition, the mechanistic analysis indicates that subjective happiness and air quality played a partial mediating role in the impact of cleaner energy consumption on health. Finally, cleaner household energy reduced the prevalence of hypertension, hyperlipidemia, lung disease, asthma, and depression. The conclusion of this paper supports the view of some existing literature, and several policy recommendations are made based on the research findings.
New evidence on technological acceptance model in preschool education: Linking project-based learning (PBL), mental health, and semi-immersive virtual reality with learning performance
Authors: Zang Juanjuan , Kim Youngsoon , Dong Jihe
Published: September 2022

Despite significant research on student learning performance, the literature on preschool education is limited. The learning performance of different institutes in China has not been satisfactory, and students are not given enough technological resources to help them improve their learning performance. Although Chinese preschool students are active learners, their learning performance is inadequate. As a result, this research aimed to discover how project-based learning, semi-immersive virtual reality, and mental health influence learning performance. For data collection, 800 questionnaires were distributed to high schools, and 290 valid questionnaires were considered for the data analysis using Smart PLS-SEM. According to the study's findings, project-based learning is critical for improving learning performance. This study's findings are significant because they show that mental health and semi-immersive virtual reality significantly mediate the relationship between project-based learning and learning performance. The study's findings are critical for educational institutions interested in improving student performance through project-based learning opportunities. Furthermore, because it employs an innovative technology acceptance model, this study has significant practical implications for project-based learning and student learning performance.
Antimicrobial resistance and genomic investigation of non-typhoidal Salmonella isolated from outpatients in Shaoxing city, China
Authors: Chen Jiancai , Ed-Dra Abdelaziz , Zhou Haiyang , Wu Beibei , Zhang Yunyi , Yue Min
Published: September 2022

Human non-typhoidal salmonellosis is among the leading cause of morbidity and mortality worldwide, resulting in huge economic losses and threatening the public health systems. To date, epidemiological characteristics of non-typhoidal Salmonella (NTS) implicated in human salmonellosis in China are still obscure. Herein, we investigate the antimicrobial resistance and genomic features of NTS isolated from outpatients in Shaoxing city in 2020. Eighty-seven Salmonella isolates were recovered and tested against 28 different antimicrobial agents, representing 12 categories. The results showed high resistance to cefazolin (86.21%), streptomycin (81.61%), ampicillin (77.01%), ampicillin-sulbactam (74.71%), doxycycline (72.41%), tetracycline (71.26%), and levofloxacin (70.11%). Moreover, 83.91% of isolates were resistant to ≥3 categories, which were considered multi-drug resistant (MDR). Whole-genome sequencing (WGS) combined with bioinformatic analysis was used to predict serovars, MLST types, plasmid replicons, antimicrobial resistance genes, and virulence genes, in addition to the construction of phylogenomic to determine the epidemiological relatedness between isolates. Fifteen serovars and 16 STs were identified, with the dominance of S. I 4, [5], 12:i:– ST34 (25.29%), S. Enteritidis ST11 (22.99%), and S. Typhimurium ST19. Additionally, 50 resistance genes representing ten categories were detected with a high prevalence of aac(6')-Iaa (100%), blaTEM−1B (65.52%), and tet(A) (52.87%), encoding resistance to aminoglycosides, β-lactams, and tetracyclines, respectively; in addition to chromosomic mutations affecting gyrA gene. Moreover, we showed the detection of 18 different plasmids with the dominance of IncFIB(S) and IncFII(S) (39.08%). Interestingly, all isolates harbor the typical virulence genes implicated in the virulence mechanisms of Salmonella, while one isolate of S. Jangwani contains the cdtB gene encoding typhoid toxin production. Furthermore, the phylogenomic analysis showed that all isolates of the same serovar are very close to each other and clustered together in the same clade. Together, we showed a high incidence of MDR among the studied isolates which is alarming for public health services and is a major threat to the currently available treatments to deal with human salmonellosis; hence, efforts should be gathered to further introduce WGS in routinely monitoring of AMR Salmonella in the medical field in order to enhance the effectiveness of surveillance systems and to limit the spread of MDR clones.
COVID-19, science, vaccines and family in a multi origin Latinx population in South Florida
Authors: Bastida Elena , Ravelo Gira J. , Benitez Pablo , Chavez Jennifer , Metheny Nicholas , Baeza Robba María José , Colón-Burgos José Félix , De La Rosa Mario , Behar-Zusman Victoria , Carrasquillo Olveen
Published: September 2022

During the Spring of 2021 in Miami-Dade County, four virtual focus groups were held with 31 participants from four diverse local Latinx communities as part of the Florida Community Engagement Alliance (FL-CEAL) Against COVID-19 Disparities project. The main objective was to explore attitudes about COVID-19 information and prevention strategies among South Florida's diverse Latinx populations, across a broad geographical area. The study used a semi-structured focus group qualitative design and chose participants from four well established Latinx neighborhoods. Participants were mostly women, diversity was strong with birth regions including the Caribbean, North, Central and South America. Though a third (n = 11) were born in the United States, almost all (n = 28) reported speaking Spanish at home. Three themes and six subthemes were identified to underscore Latinx attitudes toward COVID-19 vaccine uptake or hesitancy. These were: (1) Attitudes regarding vaccine intake; (2) Sources of Information; and (3) Science Education. The degree to which each of these themes exercised influence on vaccine intake or hesitancy varied. The multi origin Latinx participation in the focus groups strengthened findings by broadening representation and discussion. In the end and despite the various national origins, all participants indicated receiving most of their information on COVID-19 related topics from their family, physicians, social networks, and some form of media.
Confounder-adjusted MRI-based predictors of multiple sclerosis disability
Authors: Kim Yujin , Varosanec Mihael , Kosa Peter , Bielekova Bibiana
Published: September 2022

Introduction

Both aging and multiple sclerosis (MS) cause central nervous system (CNS) atrophy. Excess brain atrophy in MS has been interpreted as “accelerated aging.” Current paper tests an alternative hypothesis: MS causes CNS atrophy by mechanism(s) different from physiological aging. Thus, subtracting effects of physiological confounders on CNS structures would isolate MS-specific effects.

Methods

Standardized brain MRI and neurological examination were acquired prospectively in 646 participants enrolled in ClinicalTrials.gov Identifier: NCT00794352 protocol. CNS volumes were measured retrospectively, by automated Lesion-TOADS algorithm and by Spinal Cord Toolbox, in a blinded fashion. Physiological confounders identified in 80 healthy volunteers were regressed out by stepwise multiple linear regression. MS specificity of confounder-adjusted MRI features was assessed in non-MS cohort (n = 158). MS patients were randomly split into training (n = 277) and validation (n = 131) cohorts. Gradient boosting machine (GBM) models were generated in MS training cohort from unadjusted and confounder-adjusted CNS volumes against four disability scales.

Results

Confounder adjustment highlighted MS-specific progressive loss of CNS white matter. GBM model performance decreased substantially from training to cross-validation, to independent validation cohorts, but all models predicted cognitive and physical disability with low p-values and effect sizes that outperform published literature based on recent meta-analysis. Models built from confounder-adjusted MRI predictors outperformed models from unadjusted predictors in the validation cohort.

Conclusion

GBM models from confounder-adjusted volumetric MRI features reflect MS-specific CNS injury, and due to stronger correlation with clinical outcomes compared to brain atrophy these models should be explored in future MS clinical trials.
Risk factors for contralateral hip refractures in patients aged over 80 years with intertrochanteric femoral fractures
Authors: Yu Shujun , Li Chen , Zhong Yuqiao , Zang Jiacheng , Zhou Zhanzhe , Wang Song , Zhang Yinguang
Published: September 2022

Purpose

The purpose of this study was to identify which of the risk factors would contribute to the contralateral fracture in very elderly patients after intramedullary nail fixation.

Methods

Clinical data of 227 intertrochanteric fracture patients aged 80 years or older were retrospectively reviewed. Intramedullary nails (IMNs) were used on all of the patients. Potential risk factors for contralateral hip refractures were determined using univariate and logistic regression analyses.

Results

Contralateral hip refractures occurred in 11 patients (4.84%). Univariate analysis revealed that age, gender, body mass index, fracture classification, hematocrit, D-dimer, and CRP level were not associated with contralateral fractures (P > 0.05). However, neurological diseases, cardiovascular disease, and visual impairments were significantly associated with contralateral fractures (P < 0.05). Multivariate analysis further revealed that neurological diseases (OR 4.25, P = 0.044) and visual impairments (OR 5.42, P = 0.015) were independent risk factors associated with contralateral refractures.

Conclusion

To prevent contralateral refractures, more attention should be paid to elderly intertrochanteric fracture patients with underlying neurological disease and visual impairments.
Case Report: Combining liver partition and portal vein ligation after thrombectomy for tumor isolation (CLAPT) to treat advanced hepatocellular carcinoma with portal vein tumor thrombosis
Authors: Jin Zongrui , Wu Guolin , Xu Banghao , Wang Jilong , Zhu Hai , Guo Ya , Peng Minhao , Peng Tao , Wen Zhang
Published: September 2022

Background

Primary liver cancer is the third leading cause of cancer-related deaths worldwide in 2020, and hepatocellular carcinoma (HCC) is the major pathological type. Patients with HCC complicated with portal vein tumor thrombosis (PVTT) have a poor prognosis, and controversies regarding treatment options exist among international scholars. Patients with VP4 or Cheng’s type III classification are generally considered ineligible for surgical treatment.

Methods

We retrospectively analyzed three cases of HCC with PVTT who underwent a novel modified surgical procedure. The procedure included portal vein thrombectomy and portal vein ligation with liver parenchymal separation for the resection of the tumor thrombus involving the main portal vein trunk and for the isolation of the giant tumor. The three cases were then treated with targeted drugs postoperatively.

Results

One case developed acute renal failure in the perioperative period, and the renal function gradually recovered after the treatment. The two remaining cases recovered uneventfully postoperatively. The prognosis of the three patients was encouraging. Only one patient died of lung metastasis after 13 months, and the remaining patients were still alive after 41 and 21 months, respectively.

Conclusions

We provide a new possible surgical option for patients with advanced HCC with PVTT. The surgical procedure was inspired by associating liver partition with portal vein ligation for staged hepatectomy and portal vein thrombectomy. The survival time was significantly prolonged after the patients underwent thrombectomy, tumor isolation, and postoperative nonsurgical treatment. Hence, the combination of liver partition and portal vein ligation after thrombectomy for tumor isolation has the potential for the treatment of advanced HCC with PVTT.