bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ethnomedicinal Study of Medicinal Plants Used by Mizo Tribes in Champhai District of Mizoram, India.
Authors: Laldingliani TBC , Thangjam Nurpen Meitei , Zomuanawma R , Bawitlung Laldingngheti , Pal Anirban , Kumar Awadhesh 
Published: October 2021

Abstract
Background
Medicinal plants have been used countless times for curing diseases mainly in developing countries. They are easily available with little to no side effects when compared to modern medicine. This manuscript encompasses information on ethnomedicinal plants in Champhai district, located in the North East Region (NER) of India. The region lies within Indo-Burma biodiversity hotspot. This study will be the first quantitative report on the ethnomedicinal plants used by the local tribes of this region. Knowledge of medicinal plants is mostly acquired by word of mouth and the knowledge is dying among the local youths with the prevalence of modern medicine. Hence, there is urgency in deciphering and recording such information.
Methods
Information was gathered through interviews with 200 informants across 15 villages of the Champhai District. From the data obtained, we calculated the Used Report (UR), Frequency of Citation (FC) and Informant Consensus Factor (Fic) for all the plant species. Secondary data was obtained from scientific databases such as Pubmed, Sci Finder and Science Direct. The scientific name of the plants were matched and arranged in consultation with the working list of all plant species (http://www.theplantlist.org ).
Results
93 plant species from 53 families were recorded. The most common families are Euphorbiaceae and Asteraceae with six and five species representatives respectively. Leaves were the most frequently used part of a plant and were usually used in the form of decoction. The plant species with the highest used report (UR) were Curcuma longa L. (136 FC) and Flueggea virosa (126 FC). The main illness categories as per Frequency of citation were Muscle/Bone Problem (0.962 Fic), Gastro-intestinal Disease (0.956 Fic) and Skin Care (0.953 Fic).
Conclusion
The people of Mizoram living in the Champhai district have an immense knowledge of ethnomedicinal plants. There are no new adverse effects recorded. We observed that there is a scope of scientific validation of 10 plant species for their pharmacological activity and 13 species for the phytochemical characterization or isolation of the phytochemicals. This might pave the path for developing a scientifically validated botanical or lead to semisyntheic derivatives intended for modern medicine.
An approach to evaluate mountain forest protection and management as a means for flood mitigation
Authors: Rüegg Janine , Moos Christine , Gentile Alice , Luisier Gilles , Elsig Alexandre , Prasicek Günther , Otero Iago 
Published: October 2021

Abstract
We are of the opinion that old environmental policies that are based on scientific knowledge at the time they are established need to be revisited in terms of the current knowledge and the effectiveness of these policies in protecting or promoting a particular ecosystem service. Here we use the first Swiss Federal Forest Law (1876) as a case example, which was established to protect mountain forests as a natural means of protection against natural hazards, particularly floods. We briefly summarize the current relevant scientific knowledge on i) reasons for reforestation in mountains and how the law may have contributed, ii) forest effects on hydrological regimes and their protection service against floods, and iii) other watershed changes affecting both reforestation and the forest-runoff interaction. We then present insights from a case study on the Upper Rhone catchments, which lead us to develop a methodological approach based on interdisciplinary collaboration among natural and social sciences to gain the needed data to answer the question of whether a forest protection law can serve as a means of flood protection. Specifically, we found that a means of data interpolation is key to answering this question given data are at different scales and resolutions, and suggest modeling methods to fill gaps. Such methods and collaborations are key for basing environmental laws and policies in current scientific knowledge and effectively manage ecosystems and their services.
Preclinical and Exploratory Clinical Studies of Novel 68Ga-labeled ᴅ-Peptide Antagonist for PET Imaging of TIGIT Expression in Cancers
Authors: Wang Xiaobo , Zhou Ming , Chen Bei , Liu Huanhuan , Fang Jianyang , Xiang Shijun , Hu Shuo , Zhang Xianzhong 
Published: October 2021

Abstract
Purpose

While TIGIT has been propelled under the spotlight as a next-generation target in cancer immunotherapy, anti-TIGIT therapy seems to be promising for a fraction of patients in clinical trials. Therefore, patient stratification is critical for this therapy, which could benefit from a whole-body, non-invasive and quantitative evaluation of TIGIT expression in cancers. In this study, a 68Ga-labeled ᴅ-peptide antagonist, 68Ga-GP12, was developed and validated for PET imaging of TIGIT expression in vitro, in vivo, and first-in-human pilot study.
Methods

The ᴅ-enantiomer peptide antagonists were modified and radiolabeled with 68Ga. In vitro binding assays were performed in human peripheral blood mononuclear cells (PBMCs) to assess their affinity and specificity. The imaging capacity, biodistribution, pharmacokinetics, and radiation dosimetry were investigated in vivo. Flow cytometry, autoradiography, and immunohistochemical staining were used to confirm the expression of TIGIT ex vivo. The safety and potential of 68Ga-GP12 for PET/CT imaging of TIGIT expression were further evaluated in a first-in-human pilot study with advanced NSCLC.
Results

68Ga-labeled ᴅ-peptides were conveniently produced with high radiochemical yields,radiochemical purity and molar activities. In vitro binding assays demonstrated 68Ga-GP12 has favorable affinity and specificity for TIGIT with a KD of 37.28 nM. In vivo and ex vivo studies demonstrated the favorable pharmacokinetics of 68Ga-GP12 for PET imaging of TIGIT expression with high tumor uptake of 4.22 ± 0.68 %ID/g and the tumor-to-muscle ratio of 12.94 ± 2.64 at 60 min post-injection. The primary and metastatic lesions found in the first-in-human studies of 68Ga-GP12 PET/CT imaging were comparable to that in 18F-FDG PET/CT imaging. Moreover, the inhomogenous intra-and-inter-tumoral uptake of 68Ga-GP12 was presented, reflecting the heterogeneity of TIGIT expression levels.
Conclusion

68Ga-GP12 is a promising radiotracer for PET imaging of TIGIT expression in cancers, indicating its potential as a potential companion diagnostic for anti-TIGIT therapies.
Strategic planning of transportation infrastructure networks with case studies
Authors: Shahraki Abdol Aziz 
Published: October 2021

Abstract
This paper discusses necessary qualitative and quantitative improvements in transport infrastructure networks and analyzes travel behavior and origin-destination situations. This paper studies idea about the re-planning of transportation infrastructures theoretically and implements a case study strategy that applies the gravity model and graph technique. Additionally, it has a mathematical model that assists in designing traffic flow in new streets, sidewalks, plazas, and spaces, while suggesting new urban land-use policies and transportation infrastructure-locating techniques. This work considers the planning of ground, railroad, maritime, and air transportation to build a comprehensive system in the urban master planning process. It prioritizes public transportation and suggests necessary geometrical adjustments to upgrade the situation of the infrastructure and prepare Chabahar city for its strategic and oceanic role. The outcome in geometric corrections in sight distance and transverse and longitudinal curves in streets, sidewalks, and squares will assist cities in the Silk Road project environmentally and make the region attractive to tourists and investors' eyes.
Efficacy of interventions to reduce nosocomial transmission of SARS-CoV-2 in English NHS Trusts in Wave 1: A computational modelling study
Authors: Evans Stephanie , White Peter J , Wilcox Mark , Robotham Julie V 
Published: October 2021

Abstract
Nosocomial transmission of SARS-CoV-2 has the potential to place a large burden on the healthcare system through, for example, increased patient length of stay, pressure on specialist care capacity and staff shortages. In England, a number of interventions were applied in hospitals over wave 1 of the COVID-19 pandemic to limit the spread of SARS-CoV-2 among both hospital inpatients and healthcare workers (HCWs). Using a computational modelling approach, we have estimated the combined effect of these, and other changes within the hospital setting, to determine how many nosocomial infections were averted. While highly uncertain, due primarily to important gaps in the evidence base, model results suggest that in a scenario with high occupancy, no testing, reduced infection prevention and control (IPC) measures, increased visitors, and longer patient stays, approximately 5.2% (3.9-7.2%) of all susceptible inpatients (n=140,603; 95% CI, 89,352-197,977 patients in total), and 51.1% (43.6, 55.3%) of patient-facing HCWs could have been nosocomially infected with SARS-CoV-2 over wave 1 compared with the 1.0% (0.7, 1.2%) of patients (33,922; 24,089- 41,015) and 20.3% (15.8-29.4%) of HCW observed to be nosocomially infected. The most effective interventions for prevention of nosocomial infections in patients were decreasing occupancy, increasing spacing between beds, and testing patients on admission, resulting in a reduction of 23,434 (14,544, 31,341), 10,979 (2,458, 16,979), and 9,505, (4588, 12,823) infections, respectively. Although every intervention had some impact, it was the collective impact of all interventions that demonstrated greatest effect, averting 140,603 (89,352, 197,977) infections in inpatients. In HCWs, the most effective intervention was universal mask use, with inclusion of universal masking as part of IPC measures averting 46.0% (42.9-54.5%) of infections in HCWs resulting in 17,980 (2,772-28,450) fewer infections per 100,000 patient-facing HCWs. Interventions introduced over wave 1 of the SARS-CoV-2 pandemic in England reduced HCW infection rates by 51.1% (43.6-55.3%).
A simple and intuitive methodology for estimating red blood cell surface antigen expression variation using optical cell-detachment technique
Authors: LIN CHIH-LANG , WANG SHYANG-GUANG , TIEN MENG-TSUNG , CHIANG CHUNG-HAN , LEE YI-CHIEH , BALDECK PATRICE L. , SHIN CHOW-SHING 
Published: October 2021

Abstract
The analysis of surface antigens on cells, especially red blood cells (RBCs), has attracted increasing attention due to the recognition of antigenic variation that can facilitate early diagnoses. This paper presents an alternative methodology to estimate the variation of surface antigen expressions using an optical cell-detachment technique to validate the binding of individual RBCs stuck on corresponding antibody-coated surfaces. The detachment tests were implemented by an optical tweezers with gradually decreasing laser powers associated with serial antibody dilutions. Then, the antigen expression variation was estimated based on the known antibody dilution folds. The B- and B3-types of RBCs were selected for the demonstration subjects. With the semi-quantitative analysis, the proposed methodology was successfully verified for evaluating the variation of the RBC surface antigen expressions. The analysis result shows good consistency with the literature’s findings.
Mobile App and Digital System for Patients After Myocardial Infarction (AfterAMI); Study Protocol for a Randomized Controlled Trial
Authors: Krzowski Bartosz , Peller Michał , Boszko Maria , Hoffman Paulina , Żurawska Natalia , Jaruga Karolina , Skoczylas Kamila , Osak Gabriela , Kołtowski Łukasz , Grabowski Marcin , Opolski Grzegorz , Balsam Paweł 
Published: October 2021

Abstract
Background: Treatment of acute myocardial infarction has been studied and improved over the past years. However, the initial months after myocardial infarction are crucial from the perspective of the patient's prognosis. It is extremely important to take care of all cardiovascular risk factors.Mobile application ‘afterAMI’ supported by a web system is a novel telemedical tool developed to support patients and physicians during cardiac rehabilitation. The application has an educational model with a focus on cardiovascular risk factors and lifestyle after myocardial infarction. Moreover, it offers a module that controls vital signs like blood pressure, heart rate, weight, and many others. Additionally, the application will send reminders for better drug adherence.Methods: A group of 100 patients with myocardial infarction on admission at the 1st Chair and Department and of Cardiology, Medical University of Warsaw, will be recruited into the study. The project aims to assess the impact of the application-supported model of care in comparison with standard rehabilitation. At the end of the study, cardiovascular risk factors will be analysed, along with issues like rehospitalizations, patients' knowledge of risk factors, returning to work, and quality of life. In this prospective, open-label, randomized, single-center study, all 100 patients will be observed for 6 months after discharge from the hospital. Endpoints will be assessed during control visits 1- and 6-months after inclusion into the study.Discussion: This project is an example of a telemedical solution application embracing everyday clinical practices, conforming with multiple international cardiac societies’ guidelines. Cardiac rehabilitation process enhancements are required to improve patients’ prognosis. The evidence regarding the use of the mobile application in the described group of patients is limited and usually covers a small number of participants. The described study aims to discuss whether telemedicine use in this context is beneficial for the patients.Trial registration: ClinicalTrials.gov, NCT04793425, registered 11 March 2021.
Successful Management of Three Consecutive Cervical Pregnancy in the Same Patient- a Case Report
Authors: Chopra Seema , Agarwal Neha , Aggarwal Neelam , Gaba Nayana 
Published: October 2021

Abstract
Ectopic cervical pregnancy is an infrequent complication of the early gestation. Despite tremendous development in the management of ectopic pregnancy, there still lies dilemma in the diagnosis and management of cervical ectopic pregnancy. Traditionally dilation and evacuation has been used in the successful management of these kind of ectopic gestation. In this case report we describe an uncommon case of recurrent ectopic pregnancy and subsequent management.
A Novel Mixed Method Using MM-SE with Change in Routhain Array for Model Order Reduction
Authors: Sharma Aswant Kumar , Sambariya Dhanesh Kumar 
Published: October 2021

Abstract
The system modelling leads towards the higher-order differential equations. These systems are difficult to analyse. Therefore, for ease and understanding, the conversion of higher to lower order is required. The model order reduction(MOR) is a systematic procedure to tackle these kinds of situations. This paper offers a mixed method for MOR using the modified moment matching (MM) and stability equation (SE). The modification is applied in the routhain array of MM. The approach has been verified by examining the error between the original, proposed and compared with reduced order available in the literature. The obtained result has been compared on the basis of step response characteristics and the response indices error.
Using mHealth to Promote Mothers’ Brushing of Preschool Children’s Teeth: A Study Protocol using the Multi-phase Optimization Strategy (MOST)
Authors: Ihab Merna , Din Wafaa Essam El , Ammar Nour , Yassin Randa , Tantawi Maha El 
Published: October 2021

Abstract
BackgroundEarly childhood caries is a highly prevalent disease affecting young children. Parental brushing of children’s teeth is recommended during preschool years. Interventions to promote parental brushing of children’s teeth are assessed as a package in randomized clinical trials and the efficacy of separate components is not known. Methods and AnalysisThe aim of this study is to develop an optimized behavior modification intervention to increase mothers’ brushing of their pre-school children’s teeth using the Multi-phase Optimization Strategy (MOST) guided by the Theory of Planned Behavior. Behavior change will be assessed by the percent reduction in children’s dental plaque index after 6 months and mothers’ reporting of toothbrushing frequency. Two phases of MOST will be carried out. First: the preparation phase comprises the development of a conceptual framework, identifying candidate components, conducting a feasibility pilot study to assess the acceptability and the design features of three intervention components (motivational interviewing (MI), and two mobile health (mHealth) components: oral health promotion messages, and storytelling videos delivered using WhatsApp messenger) in addition to setting an optimization objective. Second: the optimization phase constitutes a factorial trial assessing the three intervention components and developing the intervention by selecting the most effective components within the optimization constraint. Each component will be set at two levels: yes (the intervention is applied) and no (the intervention is not applied). A linear regression model will be used to assess the effect of the intervention components on the percent reduction in dental plaque index (primary outcome measure). The secondary outcome measure is the change in the frequency of mother’s brushing of the child’s teeth. The combination of components making up the new optimized intervention will be selected.DiscussionThis will be the first study to apply the MOST framework in the field of dentistry. The results of this study can guide to the development of an optimized behaviour modification interventions using mHealth and MI. Trial Registration This trial was registered on June 11th, 2021, in Clinical trials.gov. Registration number: NCT04923581.
Bioinformatics Approach to Identify Common Gene Signatures of Patients With Coronavirus 2019 and Lung Adenocarcinoma
Authors: Liang Xiao , Chen Yali , Fan Yuchao 
Published: October 2021

Abstract
Coronavirus disease 2019 (COVID-19) continues as a global pandemic. Patients with lung cancer infected with COVID-19 may develop severe disease or die. Treating such patients severely burdens overwhelmed healthcare systems. Here we identified potential pathological mechanisms shared between patients with COVID-19 and lung adenocarcinoma (LUAD). Co-expressed, differentially expressed genes (DEGs) in patients with COVID-19 and LUAD were identified and used to construct a protein-protein interaction (PPI) network and to perform enrichment analysis. We used the NetworkAnalyst platform to establish a co-regulatory of the co-expressed DEGs, and we used Spearman’s correlation to evaluate the significance of associations of hub genes with immune infiltration and immune checkpoints. Analysis of three datasets identified 112 shared DEGs, which were used to construct a protein-PPI network. Subsequent enrichment analysis revealed co-expressed genes related to biological process (BP), molecular function (MF), cellular component (CC) as well as to pathways, specific organs, cells and diseases. Ten co-expressed hub genes were employed to construct a gene-miRNA, transcription factor (TF)-gene and TF-miRNA network. Hub genes were significantly associated with immune infiltration and immune checkpoints. Finally methylation level of hub genes in LUAD was obtained via UALCAN database. The present multi-dimensional study reveals commonality in specific gene expression by patients with COVID-19 and LUAD. These findings provide insights into developing strategies for optimising the management and treatment of patients with LUAD with COVID-19.
Prevalence of Sleep Disturbance and correlates in Chinese Older Adults with type 2 diabetes
Authors: Gong Yu-Xing , Hou Cai-Lan , Wang Shi-Bin , Wang Fei , Huang Zhuo-Hui , Yang Jing-Jing , Jia Fu-jun 
Published: October 2021

Abstract
Objective

To examine the prevalence of sleep disturbances, the socio-demographic and clinical correlates in Chinese older adults with type 2 diabetes (T2DM).
Methods

A cross-sectional survey of 195 patients with T2DM was conducted using standardized instruments.
Results

The prevalence of any type of sleep disturbances was 38.5%, the incidence of DIS, DMS, and EMA were 23.6%, 25.6% and 26.2%, respectively. No statistically significant difference was observed in socio-demographic data between participants with and without sleep disturbances except age. Sleep disturbances were associated with more severe depressive symptoms and lower quality of life (QOL). Only 32% of patients suffering sleep disturbance received treatment.
Conclusions

Sleep disturbance is common in Chinese older patients with T2DM, but the rate of treatment appears low. More aggressive measures should be implemented to improve the assessment and treatment of sleep disturbances in patients with T2DM.
Improved U-Net3+ with Stage Residual for Brain Tumor Segmentation
Authors: Qin Chuanbo , Wu Yujie , Liao Wenbin , Zeng Junying , Liang Shufen , Zhang Xiaozhi 
Published: October 2021

Abstract
Background
For the coding part of U-Net3+, the brain tumor feature extraction ability is insufficient, leading to insufficient feature fusion when sampling on the network and reducing the segmentation accuracy.
Methods
In this study, we propose an improved U-Net3+ segmentation network based on stage residual. In the encoder part, the encoder based on the stage residual structure is used to reduce the degradation problem caused by the increase in network depth and enhance the feature extraction ability of the encoder, which is convenient for full feature fusion when sampling on the network. Besides, we used a filter response normalization (FRN) layer instead of a batch normalization layer to eliminate batch size impact on the network. Based on the improved U-Net3+ two-dimensional (2D) model with stage residual, IResUnet3+ three-dimensional (3D) model is constructed. We explore appropriate methods to deal with 3D data, which achieve accurate segmentation of the 3D network.
Results
The experimental results showed that: the sensitivity of WT, TC, and ET increased by 1.34%, 4.6%, and 8.44%, respectively. And the Dice coefficients of ET and WT were further increased by 3.43% and 1.03%, respectively. To facilitate further research, source code can be found at: https://github.com/YuOnlyLookOne/IResUnet3Plus.
Conclusion
In the segmentation task of brain tumor brats2018 dataset, compared with the classical networks u-net, v-net, resunet and u-net3 +, the proposed network has smaller parameters and significantly improved accuracy.