bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioinspired extremotolerant glycerogels
Authors: Mredha Md. Tariful Islam , Lee Yoonseong , Varma Adith Varma Rama , Gupta Tanish , Wadu Rumesh Rangana Manimel , Jeon Insu 
Published: March 2022

Abstract
Inspired by the “tun formation” of tardigrades, the hardest species on the planet, a new class of extremotolerant glycerogels with well-modulated polymer structure, functions, and properties was developed. Glycerogels comprising extremoprotected intra- and inter-molecular networks were fabricated by smooth replacement of water in predesigned hydrogels with glycerol, followed by thermal annealing. Four different glycerogels were fabricated as proofs-of-concept using different crosslinkers and polymers; they exhibited a wide range of stiffness, strength, stretchability, and toughness, as well as elasticity, plasticity, hysteresis, self-recoverability, thermal-shock-absorption capability (150°C), and prolonged stability over an extremely wide temperature range (-50–80°C). The self-weldability of glycerogels, stretchable electrical patterns on glycerogels, and glycerogel-based electrolytes and supercapacitors demonstrate the complex 3D designability and facile functionalization capability of glycerogels. The variety of functional glycerogels developed herein offers opportunities to design diverse extremotolerant, flexible, and stretchable devices for bio, electrical/electronic, and soft robotic applications.
Clinical Characteristics and Outcomes in Those with Primary Extrahepatic Malignancy and Malignant Ascites
Authors: Alshuwaykh Omar , Cheung Amanda , Goel Aparna , Kwong Allison , Dhanasekaran Renumathy , Ghaziani T.Tara , Ahmed Aijaz , Daugherty Tami , Dronamraju Deepti , Kumari Radhika , Nguyen Mindie , Kim Ray , Kwo Paul 
Published: March 2022

Abstract
Background: Malignancy-related ascites accounts for approximately 10% of causes of ascites. Our AIM was to characterize the ascites fluid and correlate clinical outcomes in those with extrahepatic malignancy and ascites. Results:241 subjects with extrahepatic solid tumors and ascites were reviewed from 1/1/2000 to 12/31/2019, 119 without liver metastasis and 122 with liver metastasis. Ascites fluid consistent with peritoneal carcinomatosis (PC) was most common, 150/241 (62%), followed by fluid reflecting the presence of portal hypertension (PH), 69/241 (29%). 22/241 (9%) had low SAAG and low ascites fluid total protein, with evidence of PC on cytology and or imaging in 20/22. Lung cancer was the most common malignancy in subjects with ascites due to PC at 36/150 (24%), pancreatic cancer was the most common in subjects with ascites with features of PH at 16/69 (23%). Chemotherapy or immunotherapy alone was the most common management approach. Significantly higher 5-year, 3-year and 1-year mortality rate were noted in subjects with evidence of PC on cytology/imaging versus subjects with no evidence of PC, and in subjects with liver metastasis compared to subjects without liver metastasis. Subjects with pancreatic cancer and evidence of PC on cytology/imaging had higher 1 and 5-year mortality rates compared to subjects without PC.Conclusion:Ascites in solid tumor malignancy is most commonly due to PC. We also observed ascites fluid with characteristics of PH in 29 % of subjects. Higher mortality rates in subjects with peritoneal carcinomatosis and liver metastasis were noted. These findings may help inform prognosis and treatment strategies.
Development of a prognostic nomogram and risk stratification system for upper thoracic esophageal squamous cell carcinoma
Authors: Lin Yu , Zheng Binglin , Chen Junqiang , Huang Qiuyuan , Ye Yuling , Yang Yong , Chen Yuanmei , Chen Bijuan , You Mengxing , Xu Yuanji , Wang Qifeng 
Published: March 2022

Abstract
Background: The study aimed to develop a nomogram model to predict overall survival (OS) and construct a risk stratification system of upper thoracic esophageal squamous cell carcinoma (ESCC). Methods: Newly diagnosed 568 patients with upper ESCC at Fujian Medical University Cancer Hospital were taken as a training cohort, and additional 155 patients with upper ESCC from Sichuan Cancer Hospital Institute were used as a validation cohort. A nomogram was established using Cox proportional hazard regression to identify prognostic factors for OS. The predictive power of nomogram model was evaluated by using 4 indices: concordance statistics (C-index), time-dependent ROC (ROCt) curve, net reclassification index (NRI) and integrated discrimination improvement (IDI).Results: In this study, multivariate analysis revealed that gender, clinical T stage, clinical N stage and primary gross tumor volume were independent prognostic factors for OS in the training cohort. The nomogram based on these factors presented favorable prognostic efficacy in the both training and validation cohorts, with concordance statistics (C-index) of 0.622, 0.713, and area under the curve (AUC) value of 0.709, 0.739, respectively, which appeared superior to those of the American Joint Committee on Cancer (AJCC) staging system. Additionally, net reclassification index (NRI) and integrated discrimination improvement (IDI) of the nomogram presented better discrimination ability to predict survival than those of AJCC staging. Furthermore, decision curve analysis (DCA) curve of the nomogram exhibited greater clinical performance than that of AJCC staging. Finally, the nomogram fairly distinguished the OS rates among low, moderate, and high risk groups, whereas the OS curves of clinical stage could not be well separated among clinical AJCC stage. Conclusions: We built an effective nomogram model for predicting OS of upper ESCC, which may improve clinicians’ abilities to predict individualized survival and facilitate to further stratify the management of patients at risk.
Implication Of High Variance In Germplasm Characteristics
Authors: Yu Ju-Kyung , Chang Sungyul , Han Gyung Deok , Kim Seong-Hoon , Ahn Jinhyun , Park Jieun , Kim Yoonha , Kim Jaeyoung , Chung Yong Suk 
Published: March 2022

Abstract
The beauty of conserving germplasm is the securement of genetic resources with numerous important traits, which could be utilized whenever they need to be incorporated into current cultivars. However, it would not be as useful as expected if the proper information was not given to breeders and researchers. In this study, we demonstrated that there is a large variation, both among and within germplasm, using a low-cost image-based phenotyping method; this could be valuable for improving gene banks’ screening systems and for crop breeding. Using the image analyses of 507 accessions of buckwheat, we identified a wide range of variations per trait between germplasm accessions and within an accession. Since this implies a similarity with other important agronomic traits, we suggest that the variance of the presented traits should be checked and provided for better germplasm enhancement.
A novel PM2.5 concentrations probability density prediction model combines the least absolute shrinkage and selection operator with quantile regression
Authors: Yang Shaomei , Wu Haoyue 
Published: March 2022

Abstract
PM2.5 has a significant negative impact on human health and atmospheric quality, and accurate prediction of its concentration is necessary. PM2.5 concentration is influenced by a combination of factors from both meteorological conditions and air quality. It is essential to identify the significant factors influencing PM2.5 concentrations in the prediction process. To address this issue, this paper proposes the quantile regression neural network (QRNN) model based on the least absolute shrinkage and selection operator (LASSO), combined with kernel density estimation (KDE) for probabilistic density prediction of PM2.5 concentrations. The model uses LASSO regression to select the influential factors, and then the quartiles of daily PM2.5 concentrations obtained using the QRNN model are imported into the KDE model to obtain the probability density curves of PM2.5 concentrations. In this paper, empirical analysis is performed with the data sets of Beijing, China, and Jinan, China, and assesses the accuracy and robustness of the model using evaluation indicators in both point and interval forecasting.The simulation reveals that the LASSSO-QRNN-KDE model performs excellent in the interval prediction and has a higher accuracy than the traditional prediction models and the currently used research models, which can provide a novel and effective PM2.5 concentration prediction tool for relevant policy makers.
Assessment of M5 model tree for prediction of azithromycin antibiotic removal by multi-wall carbon nanotubes in a fixed-bed column system
Authors: Amiri Mohammad Javad , Bahrami Mehdi , Rajabi Sara 
Published: March 2022

Abstract
In this research, an M5 model tree is employed for the prediction of removal efficiency of azithromycin antibiotics by multi-wall carbon nanotubes (MWCNTs), based on experimental data sets from a laboratory column mode. The effect of total flow time (0–260 min), influent flow rates (0.5, 1, and 1.5 mL min−1), bed depths (2, 4, and 6 cm), initial azithromycin concentrations (25, 50, and 100 mg L−1), and pHs (2, 4, 6, 8, and 10) was considered in the adsorption process. Based on the obtained structures, three linear equations (LM, LM2, and LM3) were developed. The root mean square error (RMSE) of 9.89% and determination coefficient (R2) of 0.946 were determined for predicting azithromycin removal by the M5 model tree. The results indicated that contact time was more important in the adsorption process, relative to other operating conditions. This research showed that the M5 model tree could be an accurate and faster alternative to the available mathematical models to estimate removal rates of pollutants. The results obtained from the FTIR technique confirmed that the O–H groups on the MWCNTs surface have an important role in azithromycin adsorption.
Comparing alternative PDA solvers with EPANET
Authors: Todini E. , Farina A. , Gabriele A. , Gargano R. , Rossman L. A. 
Published: March 2022

Abstract
This work compares several alternative methods of pressure-driven analysis (PDA) implemented within the code base of the EPANET water distribution system modeling software. The resulting code includes a direct method, the original and a newly modified version of the inverse method currently used by EPANET 2.2, and two recently published methods (the global gradient approach-based PDA and the active set method). The latter four methods solve PDA problems using an inverse flow–pressure relationship, whereas the direct method uses the original relationship. The alternative methods were extensively tested, and their performance was compared over several case study water distribution networks of vastly different sizes and complexities. The results showed that all of the new inverse methods are equally efficient and reliable, whereas the direct method is less reliable by having a higher frequency of failing to converge.
Characterization of reported legionellosis outbreaks associated with buildings served by public drinking water systems: United States, 2001–2017
Authors: Holsinger Hannah , Tucker Nicole , Regli Stig , Studer Kirsten , Roberts Virginia A. , Collier Sarah , Hannapel Elizabeth , Edens Chris , Yoder Jonathan S. , Rotert Kenneth 
Published: March 2022

AbstractThis study examined 184 legionellosis outbreaks in the United States reported to the Centers for Disease Control and Prevention's Waterborne Disease and Outbreak Surveillance System, from 2001 to 2017. Drinking water characteristics examined include source water type, disinfectant type, exposure setting, geographical distribution by U.S. Census Divisions, and the public water system size (population served). This study found that most of the reported drinking water-associated legionellosis outbreaks occurred in eastern United States, including 35% in the South Atlantic, 32% in the Middle Atlantic, and 16% in the East North Central Census Divisions were linked with building water systems in healthcare and hotel settings; and were associated with buildings receiving drinking water from public water systems serving &gt;10,000 people. Targeted evaluations and interventions may be useful to further determine the combination of factors, such as disinfectant residual type and drinking water system size that may lead to legionellosis outbreaks.
Assessing the impacts of land use–land cover changes on direct surface runoff: a remote sensing approach in Khulna City
Authors: Das Palash Chandra , Esraz-Ul-Zannat Md. 
Published: March 2022

Abstract
The increased risks of storm flood occurrences in large cities are the result of land use changes due to rapid urbanization. This study examines the influence of land use changes in Khulna City Corporation (KCC) area on surface runoff over a period of 15 years, from 2005 to 2020. Land use–land cover (LULC) maps for 2005, 2010, 2015, and 2020 were created employing support vector machine (SVM)-based supervised image classification using time-series satellite data, and the surface runoff was determined using Soil Conservation Service-Curve Number model. The major land use change drivers of surface runoff were determined through a correlation analysis. Surface runoff was observed to follow a similar trend as that of impervious urban areas, which went up by 5.44% from 2005 to 2020 (17.00 mm increment in average runoff) and the opposite trend was found in vegetation land cover, which declined by 13.34% in areal extent throughout the study period. In comparison with other types of land use, surface runoff changes were most significantly associated with the changes in urban impervious areas and vegetation land use-land cover (LULC) class. In fast-growing cities across the world, and especially in developing nations, the results of this study may serve as a guide for urban storm flood management and urban planning efforts.
Immobilization of IMP-1 metallo-beta-lactamase on Fe3O4@SiO2 as nanobiocatalyst for degradation of beta-lactam antibiotics in wastewater
Authors: Shokoohizadeh Mohammad javad , Almasi Ali , Karami Farahnaz , Mousavi Seyyed Alireza , Khodarahmi Reza 
Published: March 2022

Abstract
Residues of antibiotics in water resources and wastewater have been significant environmental and public health problems. The current study developed a high-efficiency enzymatic nanobiocatalyst for the degradation of beta-lactam antibiotics. For this purpose, metallo-beta-lactamase IMP-1 was obtained by the cloned blaIMP gene overexpressed in Escherichia coli. 2.6 mg purified enzyme was used for immobilization on 100 mg modified Fe3O4 @ SiO2 magnetic nanoparticles. Immobilized IMP-1 showed similar storage stability to the free enzyme. The optimum temperatures and enzyme activity pH for free and immobilized enzymes were 70 °C and 60 °C, 7.5 and 6.5, respectively. In addition, after 15 reaction cycles, 80 percent of the enzyme activity was retained, according to a reusability analysis of the immobilized enzyme. For free and immobilized enzymes, the highest catalytic activity was observed for penicillin G and cephalexin, whereas Vmax/Km value for ceftriaxone was 3-fold (free enzyme) to 10-fold (immobilized enzyme) lower than for penicillin G. Also, the results showed that the immobilized IMP-1 on magnetic nanoparticles has an excellent ability to remove beta-lactam antibiotics from aqueous solutions. Thus, i could be an appropriate choice for removing beta-lactam antibiotics from pharmaceutical industry wastewater.
O SIMBÓLICO E SUAS MANIFESTAÇÕES
Authors: Oliveira de Menezes Leandro , Santos de Oliveira Simone 
Published: March 2022

O debate territorial está longe de ter cessado, ou de ter alcançado uma unanimidade. Novos estudos sobre as questões territoriais são publicados frequentemente, apresentando discordâncias, complementações e favorecendo a ampliação das possibilidades de entendimento sobre o território, e aproximações com outras ciências, além da geográfica. Nesse sentido, o presente artigo se propõe a analisar a articulação da territorialidade e da memória no longa-metragem Narradores de Javé. Trata-se de uma pesquisa qualitativa e descritiva, tendo a análise fílmica como método de investigação. Concluiu-se que a dimensão simbólica dos territórios se manifesta nos contextos sociais de diferentes formas, a territorialidade e a memória são duas delas, e estão interligadas.
Thiazole and Related Heterocyclic Systems as Anticancer Agents: A
Review on Synthetic Strategies, Mechanisms of Action and SAR Studies
Authors: Sahil  , Kaur Kamalpreet , Jaitak Vikas 
Published: March 2022

Background:
Cancer is the second leading cause of death worldwide. Many
anticancer drugs are commercially available, but lack of selectivity, target specificity, cytotoxicity,
and development of resistance lead to serious side effects. Several experiments
have been going on to develop compounds with minor or no side effects.

Objective:
This review mainly emphasizes synthetic strategies, SAR studies, and mechanism
of action if thiazole, benzothiazole, and imidazothiazole-containing compounds as
anticancer agents.

Methods:
Recent literature related to thiazole and thiazole-related derivatives endowed
with encouraging anticancer potential is reviewed. This review emphasizes contemporary
strategies used for the synthesis of thiazole and related derivatives, mechanistic targets,
and comprehensive structural activity relationship studies to provide perspective into the
rational design of high-efficiency thiazole-based anticancer drug candidates.

Results:
Exhaustive literature survey indicated that thiazole derivatives are associated
with properties of inducing apoptosis and disturbing tubulin assembly. Thiazoles are also
associated with the inhibition of NFkB/mTOR/PI3K/AkT and regulation of estrogenmediated
activity. Furthermore, thiazole derivatives have been found to modulate critical
targets, such as topoisomerase and HDAC.

Conclusion:
Thiazole derivatives seem to be quite competent and act through various
mechanisms. Some of the thiazole derivatives, such as compounds 29, 40, 62, and 74a
with IC50 values of 0.05 μM, 0.00042 μM, 0.18 μM, and 0.67 μM, respectively, not only
exhibit anticancer activity, but they also have lower toxicity and better absorption. Therefore,
some other similar compounds could be investigated to aid in the development of
anticancer pharmacophores.
Effects of SVEP1 on Lung Squamous Cell Carcinoma and its Association
with Tumor Mutation Burden, Prognosis, and Immune Regulation
Authors: Luo Yu , Zhang Min , Wang Zhibo , Li Zhihua , Chen Xiru , Cao Juan , Que Jun , Chen Liang , Deng Xiaheng 
Published: March 2022

Background:
The mutated genes in lung squamous cell carcinoma were investigated for
their possible association with tumor mutation burden, microsatellite instability, and cancer prognosis.

Objective:
Our study aims to evaluate the value of the candidate genes as a potential biomarker of
lung squamous cell carcinoma and pan-cancer analysis.

Methods:
The landscape of the tumor microenvironment and infiltrating lymphocytes in lung
squamous cell carcinoma was calculated using ESTIMATE and CIBERSORT algorithm. Weighed
gene co-expression network analysis was used to screen key modules related to immune cell infiltration.
Somatic mutations were found by data analysis from the TCGA and ICGC databases.
Mann-Whitney U test was used to evaluate the tumor mutation burden difference between patients
with mutant and wild-type SVEP1 genes. The Kaplan-Meier method was used to examine the
prognosis of the patients with mutations. The effects of SVEP1 expression on tumor mutation burden
and immunity in different cancers were determined by pan-cancer analysis.

Results:
SVEP1 mutation was found to be associated with a higher tumor mutation burden and
prognosis. SVEP1 mutation might be involved in the possible biological process of the anti-tumor
immune response. SVEP1 is related to different degrees of immune infiltration in cancer. Moreover,
the miRNA-SVEP1 targeting network was used to illuminate the possible mechanisms.

Conclusions:
SVEP1 mutation and its mRNA expression are related to tumor mutation burden and
cancer immunity in lung squamous cell carcinoma. Our findings reveal the underlying mechanisms,
indicating that SVEP1 may be a prognostic marker of lung squamous cell carcinoma.
miRNAs in SARS-CoV-2 Infection: An Update
Authors: Azhar Asim , Khan Wajihul Hasan , Al-Hosaini Khaled , Kamal Mohammad Amjad 
Published: March 2022

Abstract:
Coronavirus disease-2019 (COVID-19) is a highly infectious disease caused by newly discovered severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the inception of SARS-CoV-2 in Wuhan, China, the
virus has traveled more than 200 countries globally. The role of SARS-CoV-2 in COVID-19 has been thoroughly
investigated and reviewed in the last 22 months or so; however, a comprehensive outline of miRNAs in SARS-CoV-
2 infection is still missing.
The genetic material of SARS-CoV-2 is a single-stranded RNA molecule nearly 29 kb in size. RNA is composed of
numerous sub-constituents RNA is found in the cells in a number of forms. including microRNAs (miRNAs). miRNAs
play an essential role in biological processes like apoptosis, cellular metabolism, cell death, cell movement,
oncogenesis, intracellular signaling, immunity, and infection. Lately, miRNAs have been involved in SARS-CoV-2
infection, though the clear demonstration of miRNAs in the SARS-CoV-2 infection is not fully elucidated. The present
review article summarizes recent findings of miRNAs associated with SARS-CoV-2 infection. We presented
various facets of miRNAs. miRNAs as the protagonists in viral infection, the occurrence of miRNA in cellular receptors,
expression of miRNAs in multiple diseases, miRNA as a biomarker, and miRNA as a therapeutic tool have been
discussed in detail. We also presented the vaccine status available in various countries.
The Marriage between Nanotechnology and Stem Cells Secretome for
COPD
Authors: Kharat Avinash , Sanap Avinash , Shekatkar Madhura , Kheur Supriya , Bhonde Ramesh 
Published: March 2022

Abstract:
Chronic Obstructive Pulmonary Disease (COPD) is a disorder characterized by narrow alveoli as a result of emphysema. As such, there is no treatment to cure this disorder completely, and existing drugs only delay the progression of the disease. In recent years, the stem cell secretome as a drug is remarkably used as a regenerative therapy. In particular, cell-free therapy approaches offer great opportunities for the treatment of COPD. However, a few issues, such as the delivery of stem cell secretome as a drug to the alveolar region, have obstructed their application in clinical scales. To address these challenges, a combination of stem-cells secretome as a drug with nanotechnology could be a smart solution. We suggest that the combinational approach of delivering nanoparticles loaded with stem cell secretome could be a translational medicine approach for the successful outcome of COPD.