bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anti-diabetic and anti-obesity activity of Caralluma adscendens var. gracilis and Caralluma pauciflora
Authors: Mopuri Ramgopal , Dowlathabad Muralidhara Rao , Kommidi Devendar Reddy , Erukainure Ochuko L. , Rao A.V.N. Appa , Rao G. Venkateshwer , Islam Md. Shahidul 
Published: August 2022

Abstract

The plants fractions of Caralluma adscendens var. gracilis and Caralluma pauciflora were evaluated for their total phenolic content in relation to their antioxidant activity and inhibitory effect of starch and lipids digestive enzymes. Among all fractions of C. adscendens var. gracilis and C. pauciflora, diethyl ether fractions showed highest phenolic content (36.23 ± 1.51 mg of GAE g− 1 DW, 28.21 ± 3.61 mg of GAE g− 1 DW), DPPH radical scavenging activity (27.96 ± 3.45 µg ml− 1 and 37.23 ± 0.92 µg ml− 1), inhibition of α-glucosidase (59.13 ± 1.31 µg ml− 1 and 73.03 ± 2.04 µg ml− 1), α-amylase (78.1 ± 3.47 µg ml− 1 110.5 ± 4.1µg ml− 1) and pancreatic lipase (41.91 ± 3.51 µg ml− 1 and 49.12 ± 3.89 µg ml− 1) compared to butanone and n-butanol fractions which showed little or no significant activities compared to standards. To the best of our knowledge, the present study provides the first evidence that these two plants (C. adscendens var. gracilis and C. pauciflora) are potent inhibitors of key enzymes in type 2 diabetes and obesity studies in vitro.
3-Tesla Magnetic Resonance Imaging as an Additional Radiographic Decision Aid for Oxford Unicompartmental Knee Arthroplasty Patient Selection
Authors: Cheng Chieh-Ming , Hsu Kao-Yao , Lai Ying-Chieh , Ho Chin-Shan , Yang Cheng-Pang , Chen Yi-Jou , Chiu Chih-Hao 
Published: August 2022

Abstract
Background: The indications for Oxford unicompartmental knee arthroplasty (UKA) have been investigated for decades. The use of radiological decision aids for Oxford UKA is widespread; however, recent evidence suggests that there is a high false-negative rate. The 3-Tesla (3T) magnetic resonance imaging (MRI) system is more accurate than the 1.5T MRI system and may perform even better with Stage III and IV osteoarthritis. Here, we investigated the relationship between MRI findings and patient-reported outcomes following Oxford UKA. Methods: Medical records were reviewed retrospectively for 94 patients (101 knees) receiving Oxford UKA. All patients had a preoperative 3T MRI scan, which identified full-thickness cartilage loss. Evidence of bone-on-bone lesions from plain X-ray, bone marrow edema, and medial meniscus root tear was also recorded. Clinical outcomes were assessed using the Oxford knee score (OKS), Tegner Lysholm knee scoring system (TLKSS), and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) six months postoperatively. Results: We reviewed 94 patients (101 knees, 30 in male patients and 71 in female patients) with full-thickness cartilage loss on 3T MRI. There were no significant differences in the TLKSS, OKS, or WOMAC between groups with and without bone-on-bone lesions, bone marrow edema, or medial meniscus root tear six months postsurgery. Conclusion: The 3T MRI system is an applicable radiographical decision aid for Oxford UKA patient selection. Full-thickness cartilage loss on 3T MRI is sufficient for identifying Oxford UKA beneficiaries, regardless of bone-on-bone lesions, bone marrow edema, or medial meniscus root tear
Prognostic and Therapeutic Value of NK1R: Correlation between Function in Immune Infiltration and Expression in Tumor Microenvironment
Authors: Li Mingyu , Zhang Shunuo , Ma Hao , Zhang Yixin , Min Peiru 
Published: August 2022

Abstract
Background: NK1R is involved in the pathogenesis of inflammation. Although the function of NK1R in several types of cancer has been confirmed, relationship between the function of NK1R in inflammation and NK1R expression in tumor microenvironment is still absent, and the detailed immune mechanism remains unknown. Methods: We took advantage of TCGA, TARGET, GTEx, and other open access data to conduct pan-cancer analysis including differential expression, prognostic signature, gene set enrichment and tumor immunity in R. Results: NK1R was significantly up-regulated in 7 tumors and down-regulated in 23 tumors and possessed a strong correlation with clinical prognosis. Upregulated NK1R was related to the immune-related process and pathways. The positive correlation between NK1R expression and enhancement of RNA modification as well as immune regulation in most tumors indicated NK1R could function by up-regulating the modification and regulatory genes. Moreover, NK1R could improve the immune infiltration in most tumors, but reduce that in GBMLGG and LGG. Conclusions: NK1R regulated tumor microenvironment by facilitating the inflammation and subsequent immune response in tumor and stromal cells. The immunological function of NK1R significantly showed in most types of tumors, involved in oncogenesis and prognosis. Our findings revealed the potential of NK1R to be a survival indicator and therapy target.
CATCH: Chasing All Transients Constellation Hunters Space Mission
Authors: Li Panping , Yin Qian-Qing , Li Zhengwei , Tao Lian , Wen Xiangyang , Zhang Shuang-Nan , Qi Liqiang , Zhang Juan , Zhao Donghua , Li Dalin , Yu Xizheng , Bu Qingcui , Chen Wen , Chen Yupeng , Huang Yiming , Huang Yue , Jin Ge , Li Gang , Liu Hongbang , Liu Xiaojing , Ma Ruican , Peng Wenxi , Tang Ruijing , Wang Yusa , Xiao Jingyu , Xiong Shaolin , Yang Sheng , Yang Yanji , Zhang Chen , Zhang Tianchong , Zhang Xuan , Zhao Haisheng , Zhao Kang , Zhao Qingchang , Zhao Shujie , Zhou Xing 
Published: August 2022

Abstract
In time-domain astronomy, a substantial number of transients will be discovered by multi-wavelength and multi-messenger observatories, posing a great challenge for follow-up capabilities. We have thus proposed an intelligent X-ray constellation, the Chasing All Transients Constellation Hunters (CATCH) space mission. Consisting of 133 micro-satellites in four types, CATCH will have the capability to perform follow-up observations for a large number of different types of transients simultaneously. Each satellite in the constellation will carry lightweight X-ray optics and use a deployable mast to increase the focal length. The combination of different optics and detector systems enables different types of satellites to have multiform observation capabilities, including timing, spectroscopy, imaging, and polarization. Controlled by the intelligent system, different satellites can cooperate to perform uninterrupted monitoring, all-sky follow-up observations, and scanning observations with a flexible FOV and multi-dimensional observations. Therefore, CATCH will be a powerful mission to study the dynamic universe. Here, we present the current design of the spacecraft, optics, detector system, constellation configuration and observing modes, as well as the development plan.
Electroactive CTAB/PVDF composite film based Photo-rechargeable Hybrid Power Cell for Clean Energy Generation and Storage
Authors: Molla Sanoar , Khatun Farha , Rajak Ujjwal , Bagchi Biswajoy , Das Sukhen , Thakur Pradip 
Published: August 2022

Abstract
Herein, electroactive polymer based photo-induced hybrid power cell has been developed using CTAB/PVDF composite film in a sustainable manner. First high dielectric polymer film has been prepared by doping CTAB in PVDF matrix via solution casting method. In the basic configuration of this hybrid power cell, aqueous electrolyte solution of PVA-MnO2-Eosin Y has been utilized as solar light absorber and photo-electron generator whereas the high dielectric CTAB/PVDF (~ 400) is used as dielectric separator cum storage part in a very transparent way. The cell shows maximum voltage ~1.1 V with short-circuit current density ~ 7.83 mA/cm2 under ~110 mW /cm2 normal light illumination. The device reveal almost same performance for a long time (30 days). The high storage impact of the hybrid cell is investigated by its promising conversion efficiency ~ 4.48 % with energy density and power density ~26.9 mWhr/m2 and ~5.5 W/m2 respectively.
Pricing carbon emissions reduces health inequities from air pollution exposure
Authors: Huang Xinyuan , Srikrish Vivek , Lamontagne Jonathan , Keller Klaus , Peng Wei 
Published: August 2022

Abstract
Climate mitigation can bring health co-benefits by improving air quality. Yet, whether mitigation will widen or narrow current health disparities remains unclear. Here we use a coupled climate-energy-health model to assess the effects of a global carbon price on the distribution of ambient fine particulate matter (PM2.5) exposure and associated health risks across an ensemble of nearly 30,000 future scenarios. We find that pricing carbon consistently lowers the PM2.5-attributable death rates in lower-income countries by reducing fossil fuel burning (e.g., China and India). Since these countries are projected to have large ageing populations, the greatest reduction in global average PM2.5-attributable death rate is found in elderly populations, which are more vulnerable to air pollution than the other age groups. In contrast, the health effects in higher-income countries are more complex, because pricing carbon can increase the emissions from bioenergy use and land-use changes, counteracting the mortality decrease from reduced fossil fuel burning. Mitigation technology choices and complex interactions between age structures, energy use, and land use all influence the distribution of health effects. Our results highlight the importance of an improved understanding of regional characteristics and cross-sector dynamics for addressing the interconnected challenges of climate, health, and social inequalities.
Timing of the reproductive cycle of Holothuria (Mertensiothuria) leucospilota (Brandt, 1835) from the Persian Gulf based on evaluation of gonad histomorphology and sex hormones
Authors: Faridani Fatemeh Azimiyan , Salamat Negin , Doostshenas Babak , Sharifpour Issa , Fakhri Ali 
Published: August 2022

Abstract
Sea cucumber Holothuria (Mertensiothuria) leucospilota is a native export species in the Persian Gulf, and despite its high economic value, no study has been conducted on its reproductive biology in this region. The aim of the present study was to describe the reproductive biology of H. leucospilota using gonad tissue indices and steroid sex hormones (for the first time in sea cucumbers). Spawning was observed only once in this species. The annual reproductive cycle of H. leucospilota can be divided into six stages including resting (recovery), growth, advanced growth, mature, spawning and spent. These stages were simultaneous among the population. The beginning of gametogenesis coincided with the end of January and continued until the end of July. From May to July, the majority of individuals in the population were mature and ready to spawn. Spawning finally took place in August when the water temperature reaches its maximum value. However, spawning continued until the beginning of October. In general, according to the present study, the reproductive season of H. leucospilota is the summer of the Persian Gulf, when the temperature reaches its maximum. Most individuals were in the resting phase between late October and early January, during which it was impossible to distinguish the sex of them.
Development of Governance Evaluation Model for Accessible and Inclusive Urban Development in the United Arab Emirates Using Analytical Network Process
Authors: AlKhamis Amal , Dweiri Fikri , Kolo Jerry , AlOtaibi Emran , Sarker Abu Elias 
Published: August 2022

Abstract

Accessibility and Inclusion are challenging issues for decision-makers due to its impact on equity and quality of life. This research presents a novel governance evaluation model (GEM) for Accessible and Inclusive Urban Development (AIUD) to develop quantitative approach by applying Analytical Network Process (ANP). Experts feedback was sought to first: rank priorities of governance principles (GP’s), second: determine interdependencies of GI’s with respect to GP’s, third: determine interdependencies of indicators with respect to each other and finally scores for public governance. Therefore, the model was used to evaluate public governance in Sharjah Emirate by four agencies representing public sector. AIUD GEM results showed that the most important governance principle at AIUD in the UAE is (Transparency and Accountability). While the highest rated governance indicator is (representation of persons with disabilities and their families). The model implementation in Sharjah, demonstrated organizations agreement on rating (political commitment and legitimacy) as the highest in Sharjah public governance. The final outcome established reliable tool to support decision making in resource allocation, prioritizing intervention actions in addition to determining areas of improvement needed among various stakeholders and sectors. It is this gap or niche in the field of AIUD that this research endeavoured to fill by formulating a bespoke GEM for AIUD in the UAE, with the potential for adaptation in other contexts around the world. The model formulated in this research is a holistic monitoring and evaluation tool that engages stakeholders from various sectors, uses indicators for which data collection is less time- and effort-consuming, and allows for continuous and easy monitoring by decision-makers. This research is a timely response to a trans-disciplinary subject which is a global concern to decision- makers due to its significant impact on sustainable development. Due to the impact of AIUD on social inclusion, human welfare and economic development, the development of GI’s facilitates decision-making through stakeholder’s involvement in order to allow benchmarking and comparison of performance. The model would enable the UAE to remain a role model in the field of AIUD and continue to influence knowledge and practice in this field globally. This research is the first published research that utilized MCDM tools to develop public GEM considering holistic approach in the context of AIUD. Therefore, it is forming solid base for academics and decision-makers to utilize this model to promote public governance performance not only in the UAE but also internationally.
Mutation-associated transcripts reconstruct the prognostic features of tongue squamous cell carcinoma
Authors: Liao Ga , Liang Libo , LI YI , Ying Binwu , Huang Xinyan , Liao Shenling , Yang Jiajin 
Published: August 2022

Abstract
Tongue squamous cell carcinoma is highly malignant with a poor prognosis. This study aimed to combine whole-genome sequencing, whole-genome methylation, and whole transcriptome analyses to better understand the molecular mechanisms of this cancer. Cancerous and paraneoplastic tissues from five patients with tongue squamous cell carcinoma were included as five paired samples. After multi-omics sequencing, differentially methylated intervals, methyl loop sites, methylated promoters, and transcripts were screened for variation in all paired samples. Correlations between them were analyzed to determine biological processes in tongue squamous cell carcinoma. We found five mutated methylation promoters that were significantly associated with the expression levels of mRNAs and lncRNAs. Functional annotation of these transcripts revealed their involvement in triggering the mitogen-activated protein kinase cascade, which is associated with cancer progression and the development of drug resistance during treatment. The prognostic signature models constructed based on the WDR81 and HNRNPH1 genes and combined clinical phenotype-gene prognostic signature models have shown high predictive efficacy and can be applied to predict patient prognostic risk in clinical settings. We identified biological processes in tongue squamous cell carcinoma that are initiated by mutations in the methylation promoter and are associated with the expression levels of specific mRNAs and lncRNAs. Ultimately, changes in the transcript levels affect the prognosis of tongue squamous cell carcinoma patients.
Weighted Scaling Approach for Metabolomics Data Analysis
Authors: Biswas Biplab , Kumar Nishith , Hoque Md. Aminul , Alam Md. Ashad 
Published: August 2022

Abstract
Introduction: Systematic variation is a common issue in metabolomics data analysis. Therefore, different scaling and normalization techniques are used to preprocess the data for metabolomics data analysis. Although several scaling methods are available in the literature, however, choice of scaling, transformation and/or normalization technique influence the further statistical analysis. It is challenged to choose the appropriate scaling technique for downstream analysis to get accurate results or to the make proper decision. Moreover, the existing scaling techniques are sensitive to outliers or extreme values.
Objectives: To fill the gap, our objective is to introduce a robust scaling approach that is not influenced by outliers as well as provides more accurate results for downstream analysis.
Methods: Here, we introduced a new weighted scaling approach that is robust against outliers however, where no additional outlier detection/treatment step is needed in data preprocessing and also compared it with the conventional scaling and normalization techniques through artificial and real metabolomics datasets.
Results: We evaluated the performance of the proposed method in comparison to the other existing conventional scaling techniques using metabolomics data analysis in both the absence and presence of different percentages of outliers. Results show that in most cases the proposed scaling technique is a better performer than the traditional scaling methods in both the absence and presence of outliers.
Conclusion: The proposed method improves the further downstream metabolomics analysis. The R function of the proposed robust scaling method is available at https://github.com/nishithkumarpaul/robustScaling/blob/main/wscaling.R
Perception, knowledge and attitude of learners about the use of 3D technologies in manual therapy education – A qualitative study
Authors: Sampath Kesava Kovanur , Arumugam Ashokan , Yaghi Esra , Fairs Emma , Andersen Patrea 
Published: August 2022

Abstract

Objectives The current paradigm of teaching manual therapy is ‘teacher centred’ and may not enable learners to develop the complex clinical skills of manual therapy. 3D technologies such as virtual reality may facilitate the teaching and learning of manual therapy. Hence the aim of the current study was to investigate the perception, knowledge and attitude of manual therapy learners about the use of 3D technologies in manual therapy education.Design: In-depth interviews; data analysed using thematic analysis.Setting: online.Participants 10 manual therapy students (age =32 (Range19-58); 80% females).Results: Five factors were identified which appeared to influence participants’ perception of role of technology in manual therapy education. These were (1) Sufficiency of current teaching method; (2) Evolution as a learner (novice to expert); (3) Need for objectivity; (4) Tutor feedback; and (5) Barriers and enablers. These five factors influenced the participants’ perception about the role of 3D technologies in manual therapy education with participants evidently taking two distinct/polarized positions (‘no role’ (techstatic) versus a ‘complete role’ (techsavvy)). Conclusions Participants in this study held a range of views regarding the role of 3D technologies in manual therapy education. Although 3D technology may not replace face-to-face teaching, it may be used to complement the traditional “see one, do one” approach of learning/teaching to facilitate the learning of complex skills by manual therapy learners. The advantage of such an approach is an area of future research.
Abundance and distribution of antennal sensilla on males and females of three sympatric species of alpine grasshopper (Orthoptera: Acrididae: Catantopinae) in Aotearoa New Zealand
Authors: Nakano Mari , Morgan-Richards Mary , Clavijo-McCormick Andrea , Trewick Steven 
Published: August 2022

Abstract
Brachaspis nivalis, Sigaus australis and Paprides nitidus are grasshopper species endemic to Aotearoa New Zealand where they are sympatric in several regions of South Island. On mountains of Kā Tiritiri o te Moana (Southern Alps), B. nivalis is most abundant on scree/rock habitat whereas S. australis and P. nitidus are prevalent in alpine tussock and herbfields. It is expected, therefore, that these species have different sensory needs that are likely to be apparent in the type, abundance, and distribution of chemo-sensilla on their antennae. It is also likely that sexual selection has resulted in sex linked differences in sensilla. To test these hypotheses, abundance and distribution of the chemo-sensilla on the dorsal and ventral surfaces of their antennae were characterized in adult males and females of the three species. Five types of chemo-sensilla were identified on the distal portion of their antenna: chaetica, basiconica, trichoidea, coeloconica, and cavity. All species had significantly more chemo-sensilla on the ventral than the dorsal surface of antennae and a similar distribution pattern of chemo-sensilla. Despite having relatively short antenna, B. nivalis had the largest number of olfactory sensilla, but the fewest chaetica of the three species studied. A plausible explanation is that B. nivalis prefer less vegetated habitats compared to the other species, and therefore may rely more on olfaction (distance) than taste (contact) reception for finding food. No significant differences were observed between the sexes of B. nivalis and P. nitidus, however, S. australis males had significantly more basiconica sensilla than females.
Immunoglobulin genes expressed in lymphoblast cell lines discern and predict lithium response in bipolar disorder patients
Authors: Mizrahi Liron , Choudhary Ashwani , Ofer Polina , Goldberg Gabriela , Milanesi Elena , Kelsoe John , Gurwitz David , Alda Martin , Gage Fred , Stern Shani 
Published: August 2022

Abstract
Bipolar disorder (BD) is a neuropsychiatric mood disorder manifested by recurrent episodes of mania and depression. More than half of BD patients are non-responsive to lithium, the first-line treatment drug, complicating BD clinical management. Given its unknown etiology, it is pertinent to understand the genetic signatures that lead to variability in lithium treatment. We discovered a set of differentially expressed genes from the LCLs of 10 controls and 19 BD patients belonging mainly to the immunoglobulin gene family that can be used as potential biomarkers to diagnose and treat BD. Importantly, we trained a machine learning algorithm on our datasets that predicted the lithium response of BD subtypes with no errors, even when used on a different cohort of 24 BD patients acquired by a different laboratory. This proves the scalability of our methodology for predicting lithium response in BD and for a prompt and suitable decision on therapeutic interventions.