bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Motivational Power of Ideas in Institutions and Collective Action
Authors: Kestler Thomas 
Published: June 2022

Abstract
Ideational institutionalism has by now largely established itself as a ‘fourth new institutionalism’. However, while the assertion that ‘ideas matter’ is widely shared, ideational institutionalists are still struggling with the question how ideas matter, especially in motivational terms. The role of ideas not just as switchmen, but as genuine drivers of collective action still lacks theoretical underpinning. This article aims at closing this gap. It elaborates a theoretical model to explain how ideas shift the structure of motivation from the individual to the collective level. Borrowing from motivational psychology and social philosophy, especially from the work of John Searle, two crucial mechanisms are explicated. The first one is imagination, a specific mental state that allows collectivizing the intentional structure of beliefs and affords a sense of self-efficacy in collective contexts. The second one is plural self-awareness, a mechanism that shifts intentions-to-act to the collective level by detaching instentional control from bodily awareness.
Fusing Asynchronous Event and Synchronization Frame Data with Multi-layer Feature Attention Guided Filtering
Authors: Zhang Shixiong , Wang Wenmin , Li Honglei , Zhang Shenyong 
Published: June 2022

Abstract
As novel bio-inspired sensors, event cameras have advantages in motion scenes due to their unique construction principle. Compared with standard cameras, event cameras can effectively avoid the challenges of motion blur and low dynamic range in capturing moving objects. Event cameras can provide high-speed asynchronous visual data with high dynamics, high time resolution, and low redundancy. Therefore, event data can effectively overcome the shortcomings of conventional frames in challenging moving scenes. In this paper, we introduce an efficient fusion of asyn-chronous event data and synchronized frame data using the two-scale decomposition: base and detail layers, and an attention network designed to focus on the features of the fused data. Our approach effectively integrates the advantages of event cameras and traditional frame cameras by providing a dual-modality vision. Through our fusion strategy, frame data can be enhanced and repaired by event data under various challenges. Specially, we perform an effective evaluation of the fused data, including the objective evaluation and testing on object detection tasks. Experimental results show that our method exceeds the accuracy of using only a single data model, compared to other state-of-the-art methods, our approach yields better accuracy and robustness.
Comparative Analysis of Machine Learning Algorithms in Breast Cancer Classification
Authors: Chaurasiya Satish , Rajak Ranjit 
Published: June 2022

Abstract
Now days breast cancer has emerged as a diseases effecting women to suffer a life threating phase and eventually lead to death world wide. The prediction of breast cancer in woman at the initial stage can aggrandize recovery and chance of abidance considerably as the essential medical treatments can be adapted on time and stop its further growth. Moreover the precise categorization of tumor eliminates the avoidable treatments and patients skips from witnessing the medical emergencies. Thus the exact categorization of breast cancer either benign or malignant and the precised analysis of each is a matter of important exploration. Machine learning have extensively beneficial aspects in critical feature extraction from the breast cancer dataset. Thus the machine learning can be astronomically honored as a alternative methodology in breast cancer pattern categorization and forecast modeling. In this paper ML techniques namely Support vector machines (SVM), logistic Regression, Random forest tree (RDT) and k-nearest neighbours (k-Nns) are over viewed and later performance measures compared for breast cancer analysis and prognosis.
Bisphosphonates Fight Against Cancer Roots: Zoledronic Acid Targets Chemo-Resistant Polyploid Giant Cancer Cells
Authors: Adibi Rezvan , Moein Shiva , Gheisari Yousof 
Published: June 2022

Abstract
Although polyploid giant cancer cells (PGCCs) are known as a key source of failure of current therapies, sufficient drugs to target these cells are not yet introduced. Considering the similarities of polyploid cells in regeneration and cancer, we hypothesized that zoledronic acid (ZA), an osteoclast-targeting agent, might be used to eliminate PGCCs. The 5637-bladder cancer cell line was treated with various doses of cisplatin to enrich polyploid cells and the efficacy of different concentrations of ZA in reducing this population was assessed. The metabolic profile of PGCCs was investigated with gas chromatography-mass spectrometry. Lipid profiles, mitochondrial density, and ROS content were also measured to assess the response of the cells to ZA. Cancer cells surviving after three days of exposure with 6 μM cisplatin were mainly polyploid. These cells demonstrated special morphological features such as fusion with diploid or other polyploid cells and originated in daughter cells through budding. ZA could substantially eradicate PGCCs with the maximal effect observed with 50 μM which resulted in the drop of PGCC fraction from 60±7.5% to 19±1.7%. PGCCs enriched after cisplatin demonstrated a drastic metabolic shift compared to untreated cancer cells with an augmentation of lipids. Further assays confirmed the high content of lipid droplets and cholesterol in these cells which were reduced after ZA administration. Additionally, the mitochondrial density and ROS increased in PGCCs both of which declined in response to ZA. Taken together, we propose that ZA is a potent inhibitor of PGCCs which modulates the significant metabolic alteration of PGCCs. Although this drug has been successfully exploited as adjuvant therapy for some malignancies, the current evidence on its effects on PGCCs justifies further trials to assess its potency for improving the success of current therapies. For tackling tumor resistance and relapse.
Socio-Economic Inequalities in Health-Related Quality of Life Among Iranian Adolescents: Application of Health Equity Assessment Toolkit Running title: Socio-Economic Inequalities &amp; Health-Related Quality of Life
Authors: Maleki Azam , Faghihzadeh Elham , Youseflu Samaneh , Zamani Shahnaz 
Published: June 2022

Abstract
Background: One of the main concerns of public health is increasing inequality of health status, which has an adverse effect on people's life. Purpose: The current study aims to analyze the role of socioeconomic inequalities in health-related quality of life (QoL) among Iranian adolescents. Methods: A cross-sectional descriptive study was conducted on 576 adolescents aged 15 to 18 years. The samples were selected using the Multi-stage sampling method. Data were collected by a demographic checklist, and KIDSCREEN-52 questionnaire and analyzed by SPSS ver.16. The Health Equity Assessment Toolkit (HEAT) Version 4.0 (beta) was used to assess adolescents' QoL inequalities in terms of socio-economic subgroups. Results: The results show that 27.2 adolescents had low quality of life. The score of physical and autonomy components of QoL was significantly more in male versus school environment in female students. Also, the asset index, father's, and mother's education, and family income in female students, and the assets and family income in male students were significantly related to the quality of life (p<0.05). The risk of lower QOL in the poorest quintile was 1.12 times more than in the richest quintile. The consideration index of Asset in terms of sex was 4.5 and the modified Gini index was more than 0.5 in females and males. Conclusion: Our findings highlight the significant effects of socioeconomic inequality on HRQL of Iranian adolescents. Requires a targeted policy approach to reach the poorest quintile for improving the quality of life of adolescents.
Blood biomarkers for occupational hand-arm vibration exposure
Authors: Vihlborg Per , Lundberg Oscar , Pettersson-Pablo Paul , Johansson Niclas , Bryngelsson Ing-liss , Graff pål 
Published: June 2022

Abstract

INTRODUCTIONHand-arm vibration is a common occupational exposure that causes neurological impairment, myalgia and vibration induced Raynaud’s phenomena or vibration white fingers. The pathological mechanism is largely unknown, though several mechanisms have been proposed, involving both immunological vascular damage and defective neural responses.AIMThe aim of this study is to test whether the substances IL-33, MDC, IL-10, ET-1, CCL20, calcitonin and TXA2 change in exposed individuals before and after occupation hand-arm vibration exposure.MethodThirty-eight full-time shift workers exposed to hand-arm vibration were recruited. All the participants underwent medical examinations regarding symptoms of Raynaud’s phenomena. The concentration of IL-33, MDC, IL-10, ET-1, CCL20, calcitonin and TXA2 was tested before and after a workday. ResultThere was a significant increase in ET-1 and calcitonin concentration after the work shift. There was also a significant decrease in CCL20 concentration. Moreover, there was significant increase in MDC after the work shift in those exposed to vibration white fingers. Lastly, MDC was statistically significant lower before a work shift (p=0.023) in the vibration white finger group compared to the non-vibration white finger group. ConclusionExposure to occupational hand-arm vibration is associated with changes in ET-1 and calcitonin concentrations and MDC is increased in participates suffering from vibration white fingers, suggesting a role in the pathophysiology.
Fabrication and Investigation of New TiO2/Amino Acids Modified Chitosan For Methylene Blue Removal Via Adsorption and Photodegradation
Authors: Fathana Haya , Rahmi Rahmi , Lubis Surya , Adlim Muhammad , Muktaridha Omar , Iqhramullah Muhammad 
Published: June 2022

Abstract
Modification of chitosan using amino acids (AA) obtained from the protein hydrolysis process of tofu wastewater (TW) and TiO2 had been successfully prepared and applied in methylene blue (MB) removal from aqueous solutions. Based on the XRD results, the addition of AA and TiO2 slightly changed the crystallinity properties of chitosan. FT-IR results confirmed the formation of Chitosan-amino acid/TiO2 films (CATF). The results of TGA and DSC showed that the addition of AA decreased the thermal stability of the film, but the addition of TiO2 was able to increase the thermal stability of the film. The addition of AA and TiO2 to chitosan improved the mechanical characteristics of chitosan, according to the tensile strength data. Based on the adsorption kinetics, the removal of MB followed a pseudo second order model (PSO). The isotherm model in the adsorption process follows the Langmuir isotherm model and the maximum adsorption capacity is 64.95 mg/g. Based on the regeneration test, the CATF could be regenerated.
Report of a rare case of primary malignant mesothelioma of the perineum presenting as a scrotal abscess
Authors: Li Zhiwei , Zhu Qiqi , Xiao Kaibing , Xiao Zhiyang , Yang Pang 
Published: June 2022

Abstract
A 57-year-old man presented with erythema and pain in the scrotum for 1 week, with pus exuding from the ruptured scrotum for 1 day. Physical examination showed an enlarged left scrotum, with a small area of ruptured skin, and yellowish-white discharge from the rupture was visible in the lower posterior part of the testes near the perineum, with slightly high local skin temperature, tenderness, and fluctuating sensation. The initial reproductive system ultrasound and pelvic CT were suggestive of inflammatory infection, which was confirmed by histology following two surgeries . The patient's condition did not show improvement for a long period of time, and repeat pelvic CT suggested multiple enlarged inguinal lymph nodes. Fine needle aspiration cytology suggested metastatic cancer.Histopathological examination and immunohistochemistry of the perineal scrotal area showed malignant mesothelioma, and whole-body PET-CT suggested pulmonary metastases and invasion into the surrounding tissues, such as the organs of the reproductive system. The patient received chemotherapy and immunotherapy, but the disease progressed rapidly, and he ultimately died of respiratory failure.
Genome sequence and characterization of Streptomyces phage Pablito, representing a new species within the genus Janusvirus
Authors: Ongenae Véronique , Azeredo Joana , Kropinski Andrew M. , Rozen Daniel , Briegel Ariane , Claessen Dennis 
Published: June 2022

Abstract
Streptomycetes are ubiquitous soil bacteria. Here we report the complete and annotated genome sequence and characterization of Streptomyces phage Pablito, isolated from a soil sample in Haarlem, the Netherlands using Streptomyces lividans as host. This phage was able to infect a diverse range of Streptomyces strains, but none belonging to the sister genus Kitasatospora. Phage Pablito has double-stranded DNA with a genome length of 49,581 base pairs encoding 76 putative proteins, of which 26 could be predicted. The presence of a serine integrase protein indicated the lysogenic nature of phage Pablito. The phage remained stable over a wide range of temperatures (25 – 45°C) and at pH ≥ 7.0, but lost infectivity at temperatures above 55°C or when the pH dropped below 6.0. This newly isolated phage is closely related to Streptomyces phage Janus and Hank144 and considered a new species classified in the genus Janusvirus, within the subfamily Arquattrovirinae.
Decomposition of higher-order nonlinear S-boxes in lightweight block
ciphers for algebraic fault analysis
Authors: Fang Xing , Zhang Hongxin , Cui Xiaotong , Fan Fan 
Published: June 2022

Abstract
Nowadays, with the development of Internet of Things and information security technologies, lightweight block ciphers are gradually being widely used. As a sidechannel attack method, algebraic fault analysis has received attention from experts and scholars since its introduction. The only nonlinear operation in lightweight block ciphers is S box substitution, and the performance index of S box directly determines the security strength of the cipher.In order to further improve the efficiency of algebraic fault analysis, this paper proposes a method to rewrite the algebraic equations of S box substitution by decomposing the original cubic S boxes into two quadratic S boxes. The results show that this method is significantly effective compared to the original method in GIFT 64 and SKINNY 64, especially in SKINNY 64 block cipher, where the average solving time is reduced by several hundred times in the best case with the same samples. At the same time, the need for the number of faults is reduced, and at least 2 faulty ciphertexts can be used to recover the master key. In addition, the PRESENT 64 block cipher is also studied in this paper, and the results show that the method can also improve the efficiency significantly when the number of fault injection rounds is deep.
The Modeling and Cascade Sliding Mode Control of a Moving Mass Actuated Coaxial Dual-Rotor UAV
Authors: Siling Wang , SIchen Ji , Kun Yan , Yang Zhou 
Published: June 2022

Abstract
In this paper, a three-track moving mass control mechanism-based attitude control scheme is proposed to address the problems of overcomplicated rotor components and low reliability of the coaxial dual-rotor UAV. The motion and aerodynamic models of the moving mass-actuated ducted coaxial dual-rotor UAV are derived. The rotation dynamic characteristics of a Moving Mass-Actuated UAV (MAUAV) with different slider positions and mass ratios are analyzed. Aiming at the MAUAV rotation’s nonlinearity and uncertainty, the attitude controller based on Backstepping Sliding Mode Control (BSMC) is designed. On that basis, we developed the position controller using Cascade Sliding Mode Control (CSMC). The simulation results demonstrate that the designed attitude controller had a fast response speed and a small steady-state error in the attitude tracking experiment. Additionally, the designed position controller had a better trajectory tracking effect under different levels of gust disturbance compared with the Linear Quadratic Regulator (LQR) control-based position controller.
An optical and chemiluminescence assay for assessing the cytotoxicity of Balamuthia mandrillaris against human neurospheroids
Authors: Pengsart Worakamol , Kulkeaw Kasem 
Published: June 2022

Abstract
A spheroid is a cell aggregate in a three-dimensional context; thereby, it recapitulates the cellular architecture in human tissue. However, the utility of spheroids as an assay for host-parasite interactions remains unproven. This study demonstrates the potential use of neurospheroids for assessing the cytotoxicity of the life-threatening pathogenic amoeba Balamuthia mandrillaris. The neuroblastoma SH-SY5Y cells formed a spheroid in a hanging drop of culture medium. Cellular damage of B. mandrillaris trophozoites on human neuronal spheroids was observed using microscopic imaging and ATP detection. B. mandrillaris trophozoites rapidly caused a decrease in ATP production in the spheroid, leading to loss of neurospheroid integrity. Moreover, 3D confocal microscopy imaging revealed interactions between the trophozoites and SH-SY5Y neuronal cells in the outer layer of the neurospheroid. In conclusion, the neurospheroid allows the assessment of host cell damage in a simple and quantitative manner.
Study on land use and landscape pattern change in the Huai River Ecological and Economic Zone from 2000 to 2020
Authors: You Mou , Zou Zeduo , Zhao Wei , Fu Canfang , Zhang Wenwen , He Zhixiao 
Published: June 2022

Abstract
Exploring the relationship between land use change and landscape patterns can provide a basis for regional ecological management. In this paper, based on remote sensing images of the Huai River Ecological and Economic Zone for the years 2000, 2005, 2010, 2015 and 2020, the spatial and temporal evolution patterns of land use in the region were quantitatively described by using the methods of land use shift matrix and landscape pattern analysis. The relationship between land use change and landscape pattern was analyzed with the Grey Relation Analysis (GRA) model. The results show that: (1) the land use of the Huai River Ecological and Economic Zone has changed significantly in the past 20 years, with the conversion of arable land into construction and forest lands, in addition to the growth of water areas and a decline in the areas of arable land, grassland and unused land. (2) The landscape pattern fragmentation of each type of land in the study area from 2000 to 2020 fluctuated and decreased, and the landscape connectivity and landscape diversity increased significantly. (3) The GRA model shows that construction, arable and forest lands played the most significant role in the change of landscape pattern of the Huai River Ecological and Economic Zone. Countermeasures are proposed to better coordinate and optimize the relationship between spatial development and landscape pattern for the Huai River ecological and economic Zone.
Bibliometric study of obtaining furfural and hydroxymethyl furfural from sugarcane bagasse
Authors: Murillo Sandra Peña , Nevárez Eddie Zambrano , Durango Eduardo Arango 
Published: June 2022

Abstract

This electronic document is a bibliometric observational study describing the production of furfural and hydroxymethylfurfural from sugarcane bagasse during 2015-2021 and was used as the primary measure, with the magazine, year of publication, first/last author, workplace, and autonomous community as the direct measures. Subsequently, articles were classified according to their content or research area. The impact factor was obtained from the Scopus and VoS Viewer bibliometric analysis. The results are presented in various figures. Through the search criteria used, 639 documents were retrieved in the 2015-2021 six-year term, excluding 307 because they did not correspond to affiliation with centers or institutions directly related to papers related to furfural and hydroxymethylfurfural. A total of 49 documents were selected, and an increase in interest in studying these compounds was verified in the research and the journals in which they were published. Most studies have been published in universities or research centers, and differences were observed in the volume of international and national scientific production, making it necessary to increase these investigations in Colombia.
Three quarters of insects are insufficiently covered by protected areas
Authors: Chowdhury Shawan , Zalucki Myron , Hanson Jeffrey , Tiatragul Sarin , Green David , Watson James , Fuller Richard 
Published: June 2022

Abstract
Insects dominate the biosphere, driving ecosystem processes and functions that sustain humanity, yet insect populations are plummeting worldwide1. Massive conservation efforts will be needed to halt and reverse these declines2,3. Protected areas (PAs) could play a decisive role in safeguarding insect species from extinction4, but progress so far in achieving coverage of insect distributions by PAs remains undocumented. Here we show that 67,384 of 89,151 insect species assessed globally (76%) do not meet minimum target levels of PA coverage. Nearly 1,900 species from 225 families do not overlap with PAs at all. Species with low PA coverage predominantly occur in North America, Eastern Europe, South and Southeast Asia, and Australasia. The Post 2020 Global Biodiversity Framework5 provides a unique opportunity for nations to guide new PA designations that specifically take account of the needs of insects. Efforts to map important biodiversity areas now need to be upscaled to ensure nations capture and safeguard insect diversity.
SARS-CoV-2-Related Bat Virus in Human Relevant Models Sheds Light on the Proximal Origin of COVID-19
Authors: Temmam Sarah , Montagutelli Xavier , Hérate Cécile , Donati Flora , Regnault Beatrice , Attia Mikaël , Salazar Eduard Baquero , Chrétien Delphine , Conquet Laurine , Jouvion Grégory , Fonseca Juliana Pipoli da , Cokelaer Thomas , Amara Faustine , Relouzat Francis , Naninck Thibaut , Lemaitre Julien , Dereuddre-Bosquet Nathalie , Pascal Quentin , Bonomi Max , Bigot Thomas , Munier Sandie , Rey Félix , Grand Roger Le , Werf Sylvie van der , Eloit Marc 
Published: June 2022

Abstract
Bat sarbecovirus BANAL-236 is highly related to SARS-CoV-2 and infects human cells, albeit lacking the furin cleavage site in its spike protein. To inform on the origin of SARS-CoV-2, we evaluated the clinical, epidemiological and evolutionary consequences of a potential BANAL-236 spillover into humans using animal models. The virus replicates efficiently and pauci-symptomatically in humanized mice and in macaques, where its tropism is enteric, strongly differing from that of SARS-CoV-2. BANAL-236 infection leads to protection against superinfection by a more virulent strain like Wuhan SARS-CoV-2. Yet we found no evidence of antibodies recognizing bat sarbecoviruses in populations highly exposed to bats, indicating that such infections, if they occur, are rare. Six passages in mice or in human intestinal cells, mimicking putative early spillover events, selected adaptive mutations without appearance of a furin cleavage site and not change in virulence. We thus conclude that the hypothesis of the SARS-CoV-2 pandemic being preceded by silent circulation in humans of BANAL-236-like strains leading to the acquisition of a furin cleavage site is unlikely. Our studies suggest that a specific search for a furin cleavage site in sarbecoviruses in the wild should be pursued to understand the origin of the SARS-CoV-2 pandemics.