bluuebunny/crossref_metadata_2025_split huggingface dataset:
oral health status of pregnant women and awareness about oral health among pregnant patients and gynaecologists.
Authors: sadaf ayesha , khawaja hamna , mehmood ammar 
Published: March 2023

Abstract
Background:
Oral Health is an important part of Prenatal care. Poor oral health during pregnancy can lead to poor oral health outcomes for the mother and baby. So the aim of this study is to evaluate the oral health status of pregnant women and to determine the awareness about oral health among pregnant patients and gynaecologist, attending a government hospital gynaecology ward in Lahore Pakistan.
Methods:
It was a cross-sectional study. The study sample consisted of 220 healthy women of age 18-31 years. Study sample was divided into 2 groups. Group 1 comprised of 110 healthy pregnant women . 110 Healthy women who were not pregnant were used as the control group. The clinical examination was done based on WHO criteria for periodontal assessment and PH of the saliva was also measured. Pregnant women were interviewed according to a questionnaire and documented in a specially designed Proforma. Another questionnaire was given to 60 clinicians working in the gynecological ward and responses were recorded in a separate Proforma.
Results:
The clinical manifestations showed statistical significant values for oral health problems as compared to non-pregnant women. There were only 14.5% of pregnant women who consulted a dentist for their oral health problems during pregnancy and only 35% of the clinicians have advised their patients regarding maintenance of good oral hygiene and routine dental checkups during pregnancy.
Conclusion:
This study showed lack of awareness in pregnant women. It also showed the presence of misconceptions among gynecologists regarding dental treatment.
Psychosocial Model of Burnout among Humanitarian Aid Workers in Bangladesh: Role of Workplace Stressors and Emotion Coping
Authors: Foo Cheryl Yunn Shee , Tay Alvin Kuowei , Yang Yexinyu , Verdeli Helen 
Published: March 2023

Abstract
Background: While trauma exposure is an established predictor of poor mental health among humanitarian aid workers (HAWs), less is known about the role of psychosocial work-related factors. This study aims to establish a psychosocial model for burnout and psychological distress in HAWs that tests and compares the effects of adversity exposure and workplace stressors in combination, and explores the potential mediating role of individual coping styles.
Methods: Path analysis and model comparison using cross-sectional online survey data collected from full-time international and local HAWs in Bangladesh between December 2020 and February 2021. HAWs self-reported on exposure to adversities, workplace psychosocial stressors (Copenhagen Psychosocial Questionnaire), coping styles (The Coping Inventory for Stressful Situations), burnout (Maslach Burnout Inventory – Human Services Survey), and psychological distress (Kessler-6).
Results: Among N=111 HAWs, 30.6%, 16.4%, 12.7%, and 8.2% screened positive for moderate psychological distress (8 ≤ Kessler-6 ≤ 12), emotional exhaustion (EE ≥ 27), depersonalization (DP ≥ 13), and severe psychological distress (K-6 ≥ 13), respectively. 28.8% reported a history of mental disorder. The preferred model showed distinct pathways from adversity exposure and workplace stressors to burnout, with negative emotion-focused coping and psychological distress as significant intervening variables. While greater exposure to both types of stressors were associated with higher levels of burnout and distress, workplace stressors had a stronger association with psychological outcomes than adversity exposure did (β = .52, p = < .001 vs. β = .20, p = .032). Workplace stressors, but not adversities, directly influenced psychological distress (β = .45, p = < .001 vs. β = -.01, p = .927). Demographic variables, task-focused and avoidance-focused coping were not significantly associated with psychological outcomes.
Conclusions: Compared to exposure to adversities, workplace stressors primarily influence occupational stress syndromes. Reducing workplace stressors and enhancing adaptive coping can improve psychological outcomes in humanitarian staff.
Genes and pathways associated with drought tolerance in Populus wutunensis under drought stress
Authors: Zou Jixiang , Sun Jingliang , Liu Huan , Li Baisheng , Zhu Tong , Jin Chunyi , Li Xinlin , Jin Hua 
Published: March 2023

Abstract
Background: Populus wutunensis is widely cultivated as part of the Three-North Shelter Forest Program in China. This hybrid grows rapidly and is tolerant to salinity and drought; however, the molecular mechanisms behind the drought resistance of P. wutunensis remain unclear. We performed deep transcriptome sequencing to analyze and compare the differentially expressed genes (DEGs) between drought stress and rehydrationconditions.
Results: RNA-sequence analysis identified 5102 DEGs among the control, drought, and rehydration treatments. Further analysis of these DEGs showed that drought response genes are mainly involved in plant hormone signal transduction and galactose metabolism. Rehydration recovery mainly involves plant hormone signal transduction, flavonoid metabolism, photosynthesis-antenna proteins, and ribosome. Transcription factors play an important role in drought and rehydration by participating in signal transduction. In addition, compared with drought and control, photosynthesis-antenna proteins and ribosomewere clearly up-regulated after rewatering, which may have led to the compensatory growth of P. wutunensis during recovery.
Conclusions: Our results show that P. wutunensis responds to drought and rehydration through different pathways, and identify candidate genes related to drought and rehydration in those pathways. Our results improve the understanding of the molecular mechanisms of drought tolerance in P. wutunensis and provide a foundation for further research.
The effect of vegetarian diet on chronic kidney disease (CKD) progression – systematic review
Authors: Świątek Łukasz , Jeske Jan , Miedziaszczyk Miłosz , Idasiak-Piechocka Ilona 
Published: March 2023

Abstract
Background
Vegetarian diet is more and more popular around the world as the alternative to the casual diet. It is considered not only as a healthy way of consuming but also a sustainable way of living. The Chronic Kidney Disease (CKD) is a rising problem for the global population It is a main cause of death for 1.5% of global population and it is projected to increase in the future. One of the nutritional strategies to tackle the problem of CKD is a protein-restricted diet (< 0.8 grams of protein per day) It helps to decrease the proteinuria, uremic toxins, oxidative stress and improves renal function.
Method
This systematic review is meant to examine the potential benefits of changing the diet to vegetarian to delay the progression of CKD. Cochrane and Pubmed engines were used to search for the results. The investigation was carried out with the help of PRISMA 2020 Checklist and PRISMA 2020 flow diagram. Two investigators were involved into selection.
Results
According to recent studies vegetarian diet improves eGFR and reduces proteinuria. It also decreases the serum urea and acidosis. Compared to the omnivore group, vegetarians have 16% and vegans have 13% less chance of CKD development. For diabetic patients’ odds for CKD occurrence are 0.68 for both vegetarian and vegan diets indicating their protective aspect.
Conclusions
The vegetarian diet could be an alternative for low protein conventional diet not only improving the renal results but also the overall health of the patients
Set-valued Rough Set in Multi-Attribute Decision Making with Interactive Attributes
Authors: Mohanty B.K. , Aggarwal Eshika 
Published: March 2023

Abstract
The proposed work introduces a new methodology for solving Multiple Attribute Decision Making (MADM) problems in which the alternatives are assessed as hesitant fuzzy linguistic value (HFLV) over the attributes. The proposed MADM problem is exhibited as a rough set model with set-valued data as HFLVs. A similarity measure is defined in the set-valued information system that aids to remove the irrelevant or redundant attributes. The uncertainty due to hesitancy in HFLVs and the linked anxiety of the decision-maker therein are derived in our work after introducing the concept of the tranquility (or anxiety) in HFLTS. The proposed work introduces a new aggregation operator, Indexed Choquet Integral (ICI) that (a) aggregates the interactive attributes, (b) incorporates the decision-maker’s level of tranquility in the aggregation process, and c) estimates the weights and capacity weights of the attributes after assimilating the level of tranquilities appropriately. A comparative analysis of our paper with similar works is made and the advantages in our work are shown. The procedure introduced in the proposed work is demonstrated through a numerical example.
Brain Network Homeostasis and Plasticity of Salidroside for Achieving Neuroprotection and Treating Psychiatric Sequelae Stemming from Stress
Authors: Zhu Ting , Liu Hui , Gao Shiman , Chen Shuai , Jiang Ning , Xie Weijie 
Published: March 2023

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has affected the mental health of individuals worldwide, and the risk of psychiatric sequelae and consequent mental disorders has increased among the general population, health care workers and patients with COVID-19. Achieving effective and widespread prevention of pandemic-related psychiatric sequelae to protect the mental health of the global population is a serious challenge. Salidroside, as a natural agent, has substantial pharmacological activity and health effects, exerts obvious neuroprotective effects, and may be effective in preventing and treating psychiatric sequelae and mental disorders resulting from stress stemming from the COVID-19 pandemic. Herein, we systematically summarise, analyse and discuss the therapeutic effects of salidroside in the prevention and treatment of psychiatric sequelae as well as its roles in preventing the progression of mental disorders, and fully clarify the potential of salidroside as a widely applicable agent for preventing mental disorders caused by stress; the mechanisms underlying the potential protective effects of salidroside are involved in the regulation of the oxidative stress, neuroinflammation, neural regeneration and cell apoptosis in the brain, the network homeostasis of neurotransmission, HPA axis and cholinergic system, and the improvement of synaptic plasticity. Notably, this review innovatively proposes that salidroside is a potential agent for treating stress-induced health issues during the COVID-19 pandemic and provides scientific evidence and a theoretical basis for the use of natural products to combat the current mental health crisis.
Detection of Neuronal Defensive Discharges Information Transmission and Characteristics in the Periaqueductal Gray Double-Subregions Using PtNPs/PEDOT:PSS-modified Microelectrode Arrays
Authors: Cai Xinxia , Lu Botao , Fan Penghui , Li Ming , Wang Yiding , Liang Wei , Yang Gucheng , Mo Fan , Xu Zhaojie , Shan Jin , Song Yilin , Liu Juntao , Wu Yirong 
Published: March 2023

Abstract
Appropriate defensive behaviors were selected and rapidly executed to survive in threatened animals. It was accepted the midbrain periaqueductal grey (PAG) presents an essential part of the circuitry that organize defensive behavioral responses. However, the role and correlation of different PAG subregions in the expression of different defensive behaviors remained largely unexplored. Here, we designed and manufactured a microelectrode array (MEA) to simultaneously detect the activities of dPAG and vPAG neurons in freely-behaving rats. The PtNPs/PEDOT:PSS nanocomposites were modified onto the MEAs to improve the detection performances of the MEAs. Subsequently, the predator odor was used to induce the rat's innate fear, and the changes and information transmission in neuronal activities were detected in dPAG and vPAG. Our results showed that dPAG and vPAG both participated in the innate fear, but the activation degree was distinct in different defense behavior. During the flight, neuronal responses were stronger and earlier in the dPAG compared with the vPAG, while vPAG neurons responded greater during freezing. The application of high-performance MEA detected that neural information spread from activated dPAG to weakly activated vPAG. Our research also revealed that dPAG and vPAG neurons had different defensive discharges characteristics, and dPAG neurons participated in the regulation of defense response with burst-firing patterns. The slow activation and continuous-firing of vPAG neurons were matched with the regulation of long-term freezing response. The results demonstrated the important role of PAG neuronal activities in the control of different aspects of defensive behaviors and provided novel insights for investigating defense from the electrophysiological perspective.
A branching model of lineage differentiation underpinning the neurogenic potential of enteric glia
Authors: Pachnis Vassilis , Laddach Anna , Chng Song Hui , Lasrado Reena , Progatzky Franze , Shapiro Michael , Erickson Alek , Sampedro-Castaneda Marisol , Artemov Artem , Bon-Frauches Ana Carina , Kleinjung Jens , Boeing Stefan , Ultanir Sila , Adameyko Igor , Amaniti Eleni-Maria 
Published: March 2023

Abstract
Development of the nervous system is underpinned by changes in gene expression and chromatin configuration during embryogenesis and early postnatal life. To uncover the molecular mechanisms orchestrating cell lineage differentiation and maturation in the enteric nervous system (ENS), we profiled the transcriptome and chromatin accessibility of autonomic neural crest cells (ANCCs) and their progeny in the mouse gut at key developmental stages and adulthood. Integrative analyses defined a differentiation trajectory delineated by ENS progenitors transitioning during development to an enteric glial cell (EGC) state and sequential neurogenic branches driven by shared transcriptional programs. Key loci implicated in neuronal differentiation of early ENS progenitors maintain an open chromatin profile in mature EGCs, enabling these cells to maintain neurogenic potential and return, under appropriate conditions, to developmentally upstream positions of the gliogenic axis. Molecular profiling of lineally marked enteric glial cells (EGCs) in a gut injury model and a novel cell culture system of enteric neurogenesis, demonstrated that neuronal differentiation of mature EGCs is driven by transcriptional programs employed in vivo by early ENS progenitors. Our work advances our understanding of the dynamic regulatory landscape underpinning mammalian ENS development and provides a basis for exploring glial cells as therapeutic agents for the treatment of neural deficits.
Effects of 940 nm low-level laser therapy for the treatment of primary dysmenorrhea: a double-blind, randomized, placebo-controlled trial
Authors: Wang Ran , Fan Xiaoxue , Shao Mengmeng , Zhang Yunqian , He Jian , Yin Jiang , Lu Lijuan 
Published: March 2023

Abstract
Background: Primary dysmenorrhea (PD) is one of the most common and disturbing gynecological disorders, and effective nonpharmacological treatments are still in urgent demand. low-level laser therapy (LLLT) showed wide application prospects in pain management. This study aimed to assess the therapeutic effects and safety of 940nm LLLT for PD.
Methods: 100 participants with PD were allocated at random (2:1) to the LLLT group (n=68) or the control group (n=32) and treated with 940nm LLLT at the Guan Yuan acupoint or placebo for 30 minutes once daily before menstruation onset. Participants were treated for three menstrual cycles (T1, T2, T3) and followed up for another three cycles (T4, T5, T6). Visual analogue scale (VAS), Abdominal pain time (APT), Abdominal pain degree (APD), COX menstrual symptom scale (CMSS), Self-rating anxiety Scale (SAS), Self-rating depression scale (SDS), rescue medicine usage and complications at each menstrual cycle were recorded and compared. Change of VAS, APT, APD, CMSS, SAS and SDS from baseline at T3 was compared with those at T1 and T2.
Results: Compared with baseline, VAS, APT, APD, CMSS, SAS and SDS were significantly decreased at all menstrual cycles in the LLLT group (except APT and SAS at T5-6). Compared with the control group, VAS at T1-5, APT and SDS at T2-4, APD and CMSS at T1-6, and SAS at T1-4 were found significantly lower in the LLLT group. Compared with T1 or T2, greater improvement from baseline was found in all parameters in the LLLT group at T3 (except APD and SAS with T2). The rate of rescue medication use in the LLLT group was significantly lower than that in the control group at T3 and T6. No adverse reaction was found.
Conclusion: 940nm LLLT is a safe and promise complementary method for PD treatment with a cumulative feature of therapeutic effect.
Trial registration: ChiCTR2100046199, 09/05/2021.
Visualization of green building landscape space environment design based on image processing and artificial intelligence algorithm
Authors: ZHOU Jianbo 
Published: March 2023

Abstract
The development direction of future architectural design should be in line with environmental protection, green and energy conservation, so as to meet people's sustainable development needs. The promotion of green building technology needs to involve multi-level and multi-disciplinary knowledge and social factors. Through a large number of green building projects, we can know that its ecological landscape not only has artistic value, but also can reflect obvious ecological value. An important concept in the concept of sustainable development is the green building landscape. Based on this background, this paper introduces artificial intelligence algorithm and designs a visual system around the concept of landscape space environment design. This system can be operated in two different forms, in offline application, image training is mainly carried out on the server side; In the online stage, the collected images are uploaded to the server using the Android platform, and the server side performs a series of operations such as image target detection, and then uses the Android mobile terminal to display the virtual reality fusion scene. The system test shows that the green building environment visualization system can not only make full use of the idle time of the cable drainage reader, but also will not affect the search operation in the next stage. The average delay is reduced by 16%, which proves the practicability of the software. In this paper, artificial intelligence algorithm is introduced into the field of green landscape space environment design, and an effective visualization system is constructed.
Impact of an immersive, interactive medical education initiative on guideline-based retinal disease management knowledge/competence and effectual practice change
Authors: Singh Rishi P. , Welch Lauren , Longo Nicole , Frese Matt 
Published: March 2023

Abstract
Background: Retinal diseases, including wet or dry age-related macular degeneration, diabetic macular edema, and diabetic retinopathy (DR), are underdiagnosed and undertreated in the United States. Clinical trials support the effectiveness of anti-vascular endothelial growth factor (anti-VEGF) therapies for several retinal conditions, but real-world data suggest underuse by clinicians, resulting in patients experiencing poorer visual outcomes over time. Continuing education (CE) has demonstrated effectiveness at changing practice behaviors, but more research is needed to understand whether CE initiatives can help address diagnostic and treatment gaps for patients with retinal diseases in the long-term.
Methods: This case-control study analyzed pre-/post-test knowledge of retinal diseases and guideline-based screening and intervention among 10,786 healthcare practitioners who participated in the modular, interactive CE initiative VISION RELIEF. An additional medical claims analysis by IQVIA provided data on practice change, evaluating use of VEG-A inhibitors among retina specialist and ophthalmologist learners (n=7,827) pre-/post-education, compared to a matched control group of non-learners. Outcomes were pre-/post-test change in knowledge/competence and clinical change in application of anti-VEGF therapy, as identified by the medical claims analysis.
Results: Learners from all disciplines significantly improved knowledge/competence scores on items relating to early identification and treatment, identifying patients who could benefit from anti-VEGF agents, using guideline-recommended care, recognizing the importance of screening and referral, and recognizing the importance of early detection and care for DR (all P-values=0.003 to 0.004). Compared with matched controls, learners’ incremental total injections for anti-VEGF agents utilized for retinal conditions increased more after the CE intervention (P<0.001); specifically, there were 18,513 more (new) anti-VEGF injections prescribed than from non-learners (P<0.001).
Conclusions: This modular, interactive, immersive CE initiative resulted in significant knowledge/competence gains among a nationwide sample of retinal disease care providers and changes in practice-related treatment behaviors (i.e., appropriate consideration and greater incorporation of guideline-recommended anti-VEGF therapies) among participating ophthalmologists and retina specialists compared to a carefully matched control. Future studies will utilize medical claims data to show longitudinal impact of this CE initiative on treatment behavior among specialists as well as its impact on diagnosis and referral rates among optometrists and primary care providers who participate in future programming.
A matching-synergy degree-based optimization selection method for cloud manufacturing service composition
Authors: Yin Chao , Li Shanglin , Li Xiaobin 
Published: March 2023

Abstract
In a cloud manufacturing scenario, the matching degree between manufacturing tasks and cloud services, as well as the synergy degree between multiple selected cloud services are key metrics to measure the benefits of cloud manufacturing service application. However, the latter is often overlooked in the cloud service selection process. In this paper, a matching-synergy analysis-based optimization method of cloud manufacturing service composition is proposed. Firstly, an evaluation system of cloud service composition quality is established, including service matching degree (SM), service composition synergy (CS), and other metrics, such as service time (T), service cost (C) and reliability (R). Secondly, considering the interests of both service requestors and service resource providers, a two-constraint combination preference model is constructed, and solved by using the improved ant colony algorithm (IACO). Finally, the feasibility and effectiveness of the proposed method are verified with the example of an automobile bumper cloud service.