bluuebunny/crossref_metadata_2025_split huggingface dataset:
CRAM:Conv-Resnet34-Adatriplet module forContent based Medical Image retrieval
Authors: Miao Zekun , Chang Shijie , Chao Yihu 
Published: November 2022

Abstract
In many hospitals, there are many fraudulent medical insurance events appear. Among them ,there is a situation in which someone else’s medical image is pretended to be his own, the main purpose of which is to obtain insurance.This paper proposes a medical image retrieval scheme based on deep learning model. There is a high degree of similarity between images taken of different people for the same type of organ. However, the degree of similarity between the images of cats, dogs, airplanes, trees or other kinds of things, which is not as high as specific organs of different people. So traditional image processing methods such as HOG feature extraction have been difficult to get a good classification effect among people with the some type of organ.There is an urgent need for a method to achieve better accuracy, which is conducive to the related work of medical image retrieval. As we know, deep learning has excellent performance in medical image segmentation, detection and retrieval based on its good accuracy. This paper proposes a method based on deep learning model to achieve medical image retrieval. By using tool libraries such as MongoDB and faiss, the retrieval of 128-dimensional feature vector is realized, and several most similar images files in the top ranking are retrieved and the corresponding file information. Thus, it is convenient for the staff to realize the matching quickly.This paper is mainly aim to solve the problem of lumbar disc CT images retrieval.
Cultivation and application of nicotine-degrading bacteria and environmental functioning in tobacco planting soil
Authors: Wang Yiting , Luo Xiangyan , Chu Peng , Shi Heli , Wang Rui , Li Jiale , Zheng Shixue 
Published: November 2022

Abstract
Nicotine, a toxic and addictive alkaloid from tobacco, is an environmental pollutant. However, nicotine-degrading bacteria (NDB) and their function in tobacco planting soil are not fully understood. First, 52 NDB strains belonging to seven genera were isolated from tobacco soil. The most dominant genera were Flavobacterium (36.54%), Pseudomonas (30.77%) and Arthrobacter (15.38%), and Chitinophaga and Flavobacterium have not been previously reported. Then, two efficient NDB strains, Arthrobacter nitrophenolicus ND6 and Stenotrophomonas geniculata ND16 were screened and inoculated in the compost fertilizer from tobacco waste. The nicotine content was reduced from 1.5 mg/g to below the safety threshold of 0.5 mg/g. Furthermore, strain ND6 followed the pyridine pathway of nicotine degradation, but the degrading pathway in strain ND16 could not be determined according to genomic analysis and color change. Finally, the abundance of nicotine-degrading genes in tobacco rhizosphere soil was investigated via metagenomic analysis. Five key genes, NdhA, nctB, KdhL, nboR, and Dhponh, represent the whole process of nicotine degradation, and their abundance positively correlated with soil nicotine content (p < 0.05). In conclusion, various NDB including unknown species live in tobacco soil and degrades nicotine effciently. Some key nicotine-degrading genes could be used in monitoring nicotine degradation in the environment. The fermentation of compost from tobacco waste is a promising application of efficient NDB.
Mapping competitive pathways to terpenoid biosynthesis in Synechocystis sp. PCC 6803 using an antisense RNA synthetic tool
Authors: Rodrigues João S. , Bourgade Barbara , Galle Karen R. , Lindberg Pia 
Published: November 2022

Abstract
Background:
Synechocystis sp. PCC 6803 utilizes pyruvate and glyceraldehyde 3-phosphate via the methylerythritol 4-phosphate (MEP) pathway for the biosynthesis of terpenoids. Considering the deep connection of the MEP pathway to the central carbon metabolism, and the low carbon partitioning towards terpenoid biosynthesis, significant changes in the metabolic network are required to increase cyanobacterial production of terpenoids.
Results:
We used the Hfq-MicC antisense RNA regulatory tool, under control of the nickel-inducible PnrsB promoter, to target 12 different genes involved in terpenoid biosynthesis, central carbon metabolism, amino acid biosynthesis and ATP production, and evaluated the changes in the performance of an isoprene-producing cyanobacterial strain. Six candidate targets showed a positive effect on isoprene production: three genes involved in terpenoid biosynthesis (crtE, chlP and thiG), two involved in amino acid biosynthesis (ilvG and ccmA) and one involved in sugar catabolism (pgi). The same strategy was applied to interfere with different parts of the terpenoid biosynthetic pathway in a bisabolene-producing strain. Increased bisabolene production was observed not only when interfering with chlorophyll biosynthesis, but also with carotenogenesis.
Conclusions:
We demonstrated that the Hfq-MicC synthetic tool can be used to evaluate the effects of gene knockdown on heterologous terpenoid production, despite the need for further optimization of the technique. Possible targets for future engineering of Synechocystis aiming at improved terpenoid microbial production were identified.
Changes in the wild bee community (Apoidea: Hymenoptera) over 100 years in relation to land use: A case study in a protected steppe habitat in Eastern Austria
Authors: Zimmermann Dominique , Schoder Sabine , Zettel Herbert , Hainz-Renetzeder Christa , Kratschmer Sophie 
Published: November 2022

Abstract

The wild bee community of a sand steppe habitat in Eastern Austria was surveyed in the years 2018 and 2019, complemented with historical data from over 100 years, and analyzed in relation to land use change. The mapping of land use categories was based on historical aerial photographs and orthophotos. Changes in bee community composition were analyzed by a multivariate statistical approach and took ecological traits into account. In total, 310 bee species were recorded in the area, with the oldest records dating back to 1882. The bee species composition differed significantly among four defined timespans. Across the two most intensively sampled time periods (1931–1966 vs. 2001–2021), a decline in species richness of more than 50% was observed. We observed a disproportionally high decline of steppe and sand-associated species, and a distinct shift from ground nesting species to above ground nesting species. The area covered with woods increased from 1966 to 2018, while the total area covered with grassland and fallows decreased slightly between 1966 and 1994. The oligolectic species assemblage was specialized on Dipsacaceae, Brassicaceae and Fabaceae in the two earlier periods, and on Asteraceae and specifically on Carduoideae during the two later ones. Implications for insect conservation: Our results indicate that the shift from grazing to mowing as land management is a major factor in the decline of species diversity in the studied nature reserve and its surrounding. Particular attention should be given to measures that facilitate the re-establishment of steppe species.
Atmospheric-cold plasma (ACP) performance on coliform inactivation, dehydration and functional properties in powder form materials (wheat flour and whey protein isolate)
Authors: Soleimani Majid , Baik Oon-Doo 
Published: November 2022

Abstract
This study was conducted to determine the performance of atmospheric plasma on powder form biological materials including wheat flour (WF) and whey protein isolate (WP). Coliform bacteria inactivation and optimization were performed based on a central composite design with two variables, namely residence time and mass of the sample. The results indicated that both variables had significant effect on bacterial inactivation with more importance of residence time compared to mass of the substrate. Drying process was conducted for selected conditions including mild, moderate, and extreme conditions. The results indicated that plasma can be even used as a fast and effective tool for drying biological materials. Among all models used in this study, Henderson-Pabis model was more suitable in predicting the dehydration kinetics of both materials. Drying rate constants obtained using this model indicated that the ratios of residence time over mass of the material did not have a significant impact on this parameter. Analysis of the functional properties revealed that water absorption can be highly (≈ 70%) enhanced in WF. However, properties such as oil absorption (in WF and WP), protein solubility and emulsifying activity index (EAI) as well as stability (in WP) were slightly changed by the plasma treatment.
Application of the extended value-based adoption model to understand consumers’ participation in automobile recalls for environmental defects
Authors: Huang Hong 
Published: November 2022

Abstract
Carrying out automobile recalls for environmental defects (ARED) is a practical move to implement policies of peak carbon dioxide emissions and carbon neutrality, and can also improve air quality. The smooth completion of ARED is premised on the active participation of consumers. This study aims to investigate the determinants of consumers’ intention to participate in ARED. This study adopts the value-based adoption model (VAM) as the basic model and extends it by adding the constructs of consumer knowledge and personal norms. Structural equation modeling is used to analyze the survey data (N = 571). The results show that consumers’ perceived value of participating in ARED, consumer knowledge of ARED, and personal norms positively affect their participation intention. Perceived value is affected by perceived environmental benefits, perceived personal costs, and consumer knowledge. Personal norms are explained by perceived environmental benefits. This study enriches the understanding of consumers’ perceptions and participation intention toward ARED and provides several practical implications to relevant regulatory agencies and firms.
One-pot facile biosynthesis of copper nanoparticles using Dillenia indica L. bark extract for in vitro anticancer activity against human lung and breast cancer cell lines
Authors: Mohanta Larica , Jena Bhabani Sankar 
Published: November 2022

Abstract
The current study focused on green synthesis of copper nanoparticles (CuNPs) using ethanolic bark extract of Dillenia indica L. as an eco-friendly, non-toxic reducing agent as well as surface stabilizing agent. The phytochemical screening showed higher positivity of phenolics and flavonoid compounds in the bark extract. Biosynthesized CuNPs was optimized and characterized using UV-Visible spectrophotometer, Transmission electron microscope (TEM), Particle size analyser, and Fourier Transform Infrared Spectroscopy (FTIR). UV-Visible spectroscopic analysis showed maximum wavelength at 512 nm indicating the formation of CuNPs. TEM analysis reveals spherical shaped, well dispersed CuNPs with size ranging from 5 to 30 nm. Obtained CuNPs were stable up to one month with zeta potential value of -41.8 mV. FTIR analysis of CuNPs showed that the phytoconstituents of D. indica L. bark extract were the contributing factors for the reduction of copper ions as well as capping and surface functionalization of CuNPs for their stability in aqueous medium. Further, the bio-synthesized CuNPs showed dose and time dependent cytotoxicity against human lung cancer (A549) and breast cancer (MCF-7) cell lines. Morphological alterations due to apoptosis was studied by acridine orange/ethidium bromide and DAPI stains through fluorescence microscopy which reveals cell shrinkage, nuclear fragmentation, and blebbing in CuNPs treated cancer cells. Therefore, the present study unveiled the cytotoxic efficacy of D. indica mediated CuNPs induced apoptosis in A549 and MCF-7 cells which could be further used as a contemporary strategy for cancer therapy.
In silico molecular docking of cyclooxygenase (COX-2), ADME-Toxicity and in vitro evaluation of antioxidant and anti-inflammatory activities of marine macro algae
Authors: A Maheswari , DE Salamun 
Published: November 2022

Abstract
Rhodophyta, a significant class of macro algae (~ about 7000 species) provides a wealth of structurally varied bioactive components. The marine ecosystem harbors unique and diverse bioactive compounds that can offer a vast repertoire of molecules with therapeutic properties. The current research was performed to elucidate the therapeutic importance of the red marine seaweeds for its antioxidant and anti-inflammatory properties and to examine the potential of bioactive compounds by ADME analysis and toxicological parameters. In the present study, four different species of red marine seaweeds were analyzed for its phytoconstituents and the potent antioxidant and anti-inflammatory activity of the methanolic extracts were screened and determined. The results revealed that, among the 4 sample extracts, G. corticata, scored a good antioxidant potential by DPPH (67.61 ± 1.23%, IC50 = 577.7µg) and metal chelation assay (29.40 ± 0.32%, IC50 = 1684µg). The anti-inflammatory analysis has shown that, H. dialata was found to exhibit maximum inhibition against the albumin denaturation (83.50 ± 0.24), whereas G. corticata was observed to measure a maximum inhibition in heat induced hemolysis (60.40 ± 0.46%) and proteinase inhibition assay (83.30 ± 0.18%). An extensive literature survey was carried out for the presence of bioactive compounds in G.corticata, since it has shown good antioxidant and anti-inflammatory activities and later it was examined for drug likeliness by ADME analysis and toxicological parameters. Further, the best selected bioactive compounds were subjected to in silico molecular docking with pro-inflammatory target, cyclooxygenase (COX-2). Hexadecanal and Neophytadiene were reported to obtain the highest binding affinity (-5.3) for COX-2 enzyme. To conclude, in silico molecular docking studies had shown that G. corticata was found to possess potential anti-inflammatory activity that can prevent conversion of arachidonic acid to prostaglandins by inhibiting COX-2.
CD8+ T-Cell Number and Function are Altered by Shkbp1 Knockout Mediated Suppression of Tumor Growth in Mice
Authors: Guo Xiaolan , Li Haobin , Meng Xiuqiong , Zhao ZhiBin , Zhang Rongxin , Wang Lijing , Li Jiangchao 
Published: November 2022

Abstract
CD8 + effector cells are highly skilled in/at immune surveillance and contribute to adaptive immunity against cancer cells. An increasing number of molecular factors affecting T-cell differentiation may alter T-cell function by increasing or decreasing the capacity of the immune system to kill cancer cells. Here, Sh3kbp1 binding protein 1 (Shkbp1), known as CIN85 binding protein and SETA binding protein, was found to be expressed in immune organs and immune cells. Shkbp1 knockout mice presented abnormal red and white pulp in spleen tissue. Shkbp1 knockout increased the cell number in the spleen and enhanced the function of isolated CD8 + T cells from Shkbp1 knockout mice. Data on subcutaneous melanoma in Shkbp1 knockout mice showed that melanoma growth was inhibited, and the infiltration of CD8 + T cells in tumor tissue was increased. Furthermore, adenoviral therapy targeting Shkbp1 indicated that knockout of Shkbp1 increased CD8 + T cells and inhibited tumor growth. This study provides new insights into the role of Shkbp1 in CD8 differentiation and functions as a cancer immunotherapy, suggesting that Shkbp1 may be a new, potential target in cancer immunotherapy.
Optical gain spectrum and confinement factor of a monolayer semiconductor in an ultrahigh quality cavity
Authors: Ren Tianhua , Wang Junyong , Kumar Annie , Han Kaizhen , Kang Yuye , Zhang Gong , Wang Zhe , Oulton Rupert , Eda Goki , Gong Xiao 
Published: November 2022

Abstract
Two-dimensional (2D) semiconductors have attracted great attention as a novel class of gain materials for low-threshold on-chip coherent light sources. Due to their atomically thin scale, these materials exhibit distinct gain characteristics and associated emitter-to-cavity coupling when integrated into a cavity. Despite several experimental reports on lasing, the underlying gain mechanism of 2D materials remains elusive due to a lack of key information, including modal gain and confinement factor. Here, we demonstrate a novel approach to directly determine the absorption coefficient of monolayer WS2 by characterizing the whispering gallery modes in a van der Waals microdisk cavity. By exploiting the cavity’s high intrinsic quality factor of 2.5×104, the absorption coefficient spectrum is experimentally resolved with unprecedented accuracy. We show that the excitonic gain signal and confinement factor can be assessed by analyzing the quality factors near the exciton resonance. The excitonic gain reduces the WS2 absorption coefficient by 2×104 cm− 1 at room temperature, indicating a local population inversion described in the excitonic two-band model. These results are essential for unveiling the gain mechanism in emergent low-threshold 2D-semiconductor-based laser devices.
Assessing global warming vulnerability of restricted and common plant species in alpine habitats on two oceanic islands
Authors: González-Mancebo Juana María , Bello-Rodríguez Víctor , Cubas Jonay , Parada-Díaz Jesús , Bañares Ángel , Palomares Ángel , Martín-Esqu José Luís , Arco Marcelino 
Published: November 2022

AbstractClimate change is modifying plant communities and ecosystems around the world. Alpine ecosystems are of special concern on oceanic islands, due to their characteristic higher endemicity rate, small area and undergoing severe climate change impact in the last few decades. During recent decades there has been increasing interest in the effects of climate change on biodiversity and a range of methods have been developed to assess species vulnerability. However, new insights are necessary to obtain useful information for species management on oceanic islands. Here in the alpine area of two oceanic islands (Tenerife and La Palma) we evaluate the drivers that best explain the vulnerability of 63 endemic species along three scenarios, covering recent past to present and two future projections (2041–2060 and 2061–2080. The selected drivers were: loss of fundamental niche area, persistence of fundamental and realized niches, and the adaptive capacity constraints. We assess whether the drivers of risk and vulnerability for common, restricted and rare species are significantly different, and the influence of fundamental niche size. Our results indicate that management must be widely distributed over the species, and not only focus on restricted species. Evidence for this was that drivers directly deriving from climate change showed no significant differences in their impact on the rarity groups identified. Vulnerability depends partially on the fundamental niche size area, showing a more complex picture where constraints on the adaptive capacity of the species have a strong enough influence to modify the effects of the characteristic drivers of climate change.
Psychosis Prevalence in London Neighbourhoods; a Case Study in Spatial Confounding
Authors: Congdon Peter 
Published: November 2022

Abstract
A considerable body of research concerns spatial variations in psychosis and impacts of neighbourhood risk factors. Such research frequently adopts a disease mapping approach, with unknown spatially clustered neighbourhood influences summarised by random effects. However, added spatial random effects may show confounding with observed area predictors, especially when observed area predictors have a clear spatial pattern. In a case study application, the standard disease mapping model is compared to methods which account and adjust for spatial confounding in an analysis of psychosis prevalence in London neighbourhoods. Established area risk factors such as area deprivation, non-white ethnicity, greenspace access and social fragmentation are considered as influences on psychosis levels. The results show evidence of spatial confounding in the standard disease mapping model. Impacts expected on substantive grounds and available evidence are either nullified or reversed in direction. Inferences about excess relative psychosis risk in different small neighbourhoods are affected. It is argued that the potential for spatial confounding to affect inferences about geographic disease patterns and risk factors should be routinely considered in ecological studies of health based on disease mapping.
Individualization of Responsibility for Health and Entrepreneurship of the Self as Neoliberal Strategies of Bodily Subjectivation and Contemporary Life Management
Authors: Marques João Paulo , Lara Larissa Michelle 
Published: November 2022

Abstract
This article analyzes discursive strategies by which health behaviors are instituted in the management of people's lives in contemporary times from the entrepreneurial neoliberal rationality. To do so, it resumes utterances about health and physical activity in the pandemic context and discusses their relations with key concepts that operate in the embodiment of the neoliberal management model. Such embodiment refers to the uses of human labor (which include body and health care practices) under the aegis of the individualization of responsibility for health, and the dispositive function that they come to exercise within the system that promulgates the individualized management of survival. Thus, we emphasize the importance of the attention of health professionals to the strategies of bodily subjectivation characteristic of the entrepreneurial neoliberal rationality, and to the social determinants of health, which constitute popular demands from which democratically oriented intervening actions should start.
The impact of asprin use on the outcome of patients admitted to the intensive care unit with COVID-19 infection
Authors: Aidouni Ghizlane El , Bouchlarhem Amine , Bkiyar Houssam , Ismaili Nabila , Ouafi Noha El , housni Brahim 
Published: November 2022

Abstract
Background
Our objective in this study is to know the impact of the use of asprin in anti-aggregation dose on the evolution during hospitalization of patients admitted in intensive care unit for a severe infection by SARS-COV-2.
Methods
We conducted a prospective study of patients admitted to our department with severe COVID-19 infection during the period between March 2020 and March 2022, analyzing the difference between the placebo group and the aspirin group on the primary endpoint of all-cause hospital mortality and the composite secondary endpoint of use of mechanical ventilation and thromboembolic events.
Results
Out of 1124 patients included, 32.6% died, with a protective effect of aspirin against placebo (Hazard-ratio = 0.691, p = 0.003), for thrombo-embolic complications, 104 events were observed, with a protective effect of aspirin (Hazard-Ratio = 0.448 and p = 0.001), finally regarding mechanical ventilation, there was no remarkable benefit on our sample.
Conclusion
Given the divergence of results of studies published in the literature, the availability of results of large randomized controlled trials is a necessity.