bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrochemical Conjugation of Aptamers on a Carbon Fiber Microelectrode Enables Highly Stable and Selective In Vivo Neurosensing
Authors: Li Xin , Jin Ying , Zhu Fenghui , Liu Ran , Jiang Yan , Jiang Ying , Mao Lanqun 
Published: August 2022

AbstractInterfacing aptamers with carbon fiber microelectrodes (CFEs) provides a versatile platform to probe the chemical activity in a living brain at the molecular level. However, new approaches are needed for the efficient and stable modification of electrode surfaces with aptamers. Here, we present an electrochemical conjugation strategy to covalently couple aptamers onto CFEs with high chemoselectivity, efficiency, and stability for sensing in the brain. The strategy employs an initial electrochemical coupling of catechol on an CFE, thereby generating a thin layer of quinone intermediates that couple rapidly with thiol‐containing oligonucleotides under a controlled potential. This approach dramatically simplifies and improves the efficiency for modifying carbon surfaces, thereby allowing direct conjugation of high levels of aptamers on CFEs within 5 minutes. Importantly, the covalent linkage between the aptamers and carbon surfaces enables a greatly improved sensitivity and stability for the sensing of dopamine, offering a robust system for continuously probing dopamine dynamics in the living brains of animals.
The Crucial Role of Electrode Potential of a Working Anode in Dictating the Structural Evolution of Solid Electrolyte Interphase
Authors: Sun Shu‐Yu , Yao Nao , Jin Cheng‐Bin , Xie Jin , Li Xi‐Yao , Zhou Ming‐Yue , Chen Xiang , Li Bo‐Quan , Zhang Xue‐Qiang , Zhang Qiang 
Published: August 2022

AbstractThe performance of rechargeable lithium (Li) batteries is highly correlated with the structure of solid electrolyte interphase (SEI). The properties of a working anode are vital factors in determining the structure of SEI; however, the correspondingly poor understanding hinders the rational regulation of SEI. Herein, the electrode potential and anode material, two critical properties of an anode, in dictating the structural evolution of SEI were investigated theoretically and experimentally. The anode potential is identified as a crucial role in dictating the SEI structure. The anode potential determines the reduction products in the electrolyte, ultimately giving rise to the mosaic and bilayer SEI structure at high and low potential, respectively. In contrast, the anode material does not cause a significant change in the SEI structure. This work discloses the crucial role of electrode potential in dictating SEI structure and provides rational guidance to regulate SEI structure.
Synthesis and characterization of engineered PEEK‐based composites for enhanced tribological and mechanical performance
Authors: Javaid Sabah , Dey Maharshi , Matzke Caleb , Gupta Surojit 
Published: August 2022

AbstractWe report the synthesis and characterization of engineered PEEK‐based composites by using biochar (DDGS500—pyrolyzed Distiller's dried grains with soluble (DDGS)), metal (Mo), and PEEK‐ceramic (Xonotlite) as reinforcements. A systematic study was done to understand the effect of these additives on functional and mechanical properties. Initially, these composites were synthesized by hot pressing. Microstructure analysis of reinforcement powders by scanning electron microscopy (SEM). Detailed microstructure study of the composites showed that DDGS500 powder particulates were well dispersed within the PEEK matrix after the addition of 5 vol%. However, at higher concentration of 10 and 20 vol%, the particles segregated at the phase boundaries and PEEK rich cores were observed in the microstructure. Mo and Xonotlite particles were segregated at the phase boundaries even at 5 vol% concentration, which was more prominent at higher concentrations of 10 and 20 vol% reinforcements. Differential scanning calorimetry (DSC) showed lowering in melting point (Tm) and crystallization temperature (Tc) and increase in crystallization in all the composites. The addition of DDGS500 and Mo enhanced the plasticity and Ultimate Compressive Strength (UCS) (5 vol% additions of DDGS500 and Mo enhanced the UCS by 12.6% and 32.2%, respectively) of the composites whereas Xonotlite additions increased brittleness of the composites. The addition of DDGS500, PEEK‐Mo, and PEEK‐Xonotlite particulates lowered the wear rate until 10 vol% by several orders of magnitude and stabilized the friction coefficient (μ) versus distance profile. However, significant increase in wear rate at 20 vol% of Xonotlite was observed due to third body abrasion. All the composites showed hydrophobic behavior except PEEK‐20 vol% Xonotlite, which showed hydrophilic behavior with a decrease in contact angle as a function of time, which shows that Xonotlite can be a promising additive for increasing hydrophilicity of PEEK‐based composites for biomedical applications.
Construction of antifouling and antibacterial polyhexamethylguanidine/chondroitin sulfate coating on polyurethane surface based on polydopamine rapid deposition
Authors: Zhu Jiaqian , Yuan Huihui , Zhang Shunqi , Hao Xiang , Lan Minbo 
Published: August 2022

AbstractImplanted medical devices are widely used in clinic for disease treatment, but they generally suffer from the bio‐fouling problem which leads to the reduction of service life and loss of therapeutic effects. Herein, an eco‐friendly method based on polydopamine (PDA) fast deposition is developed to construct anti‐fouling and antibacterial surface on polyurethane (PU). The self‐adhesive layer of PDA contributes to the formation of a platform with active sites for further antibacterial and hydrophilic modification. Polyhexamethylguanidine (PHMG) as antibacterial ingredient and chondroitin sulfate (CS) as hydrophilic component covalently bind on PDA platform, which successively helps to form PU‐PDA/PHMG/CS. The resultant surface demonstrates the excellent property of anti‐protein adsorption (96.8%), anti‐bacterial ability (99.9%), and cell compatibility (95.0%), which would have great potential for medical application.
Uses of the Journal Impact Factor in national journal rankings in China and Europe
Authors: Kulczycki Emanuel , Huang Ying , Zuccala Alesia A. , Engels Tim C. E. , Ferrara Antonio , Guns Raf , Pölönen Janne , Sivertsen Gunnar , Taşkın Zehra , Zhang Lin 
Published: August 2022

AbstractThis paper investigates different uses of the Journal Impact Factor (JIF) in national journal rankings and discusses the merits of supplementing metrics with expert assessment. Our focus is national journal rankings used as evidence to support decisions about the distribution of institutional funding or career advancement. The seven countries under comparison are China, Denmark, Finland, Italy, Norway, Poland, and Turkey—and the region of Flanders in Belgium. With the exception of Italy, top‐tier journals used in national rankings include those classified at the highest level, or according to tier, or points implemented. A total of 3,565 (75.8%) out of 4,701 unique top‐tier journals were identified as having a JIF, with 55.7% belonging to the first Journal Impact Factor quartile. Journal rankings in China, Flanders, Poland, and Turkey classify journals with a JIF as being top‐tier, but only when they are in the first quartile of the Average Journal Impact Factor Percentile. Journal rankings that result from expert assessment in Denmark, Finland, and Norway regularly classify journals as top‐tier outside the first quartile, particularly in the social sciences and humanities. We conclude that experts, when tasked with metric‐informed journal rankings, take into account quality dimensions that are not covered by JIFs.
Challenges and opportunities in downstream separation processes for mesenchymal stromal cells cultured in microcarrier‐based stirred suspension bioreactors
Authors: Mawji Inaara , Roberts Erin L. , Dang Tiffany , Abraham Brett , Kallos Michael S. 
Published: August 2022

AbstractMesenchymal stromal cells (MSC) are a promising platform for regenerative medicine applications because of their multilineage differentiation abilities and ease of collection, isolation, and growth ex vivo. To meet the demand for clinical applications, large‐scale manufacturing will be required using three‐dimensional culture platforms in vessels such as stirred suspension bioreactors. As MSCs are an adherent cell type, microcarriers are added to the culture to increase the available surface area for attachment and growth. Although extensive research has been performed on efficiently culturing MSCs using microcarriers, challenges persist in downstream processing, including harvesting, filtration, and volume reduction, which all play a critical role in the translation of cell therapies to the clinic. The objective of this review is to assess the current state of downstream technologies available for microcarrier‐based MSC cultures. This includes a review of current research within the three stages: harvesting, filtration, and volume reduction. Using this information, a downstream process for MSCs is proposed, which can be applied to a wide range of applications.
Retention behaviour of analytes in reversed‐phase high‐performance liquid chromatography—A review
Authors: Ganesh V. , Poorna Basuri P. , Sahini K. , Nalini C.N. 
Published: August 2022

AbstractThe understanding of principles that drive the separation in reversed‐phase chromatography plays an important role in the prediction of the elution of solutes in RP‐HPLC. The separation in RP‐HPLC is based on the principle of adsorption and partition. In addition, the logP value, the pKa value of the drug and chromatographic parameters like mobile phase pH, buffer concentration, organic modifier and mobile phase additives also influence the retention and selectivity of the analyte. It was found that hydrophobic, electrostatic, hydrogen bonding and other specific interactions between the stationary phase and the solutes, along with the hydrophobicity of an analyte molecule (logP), modify the retention behaviour of the analytes. This article gives special attention to the influence of ionization and ion interaction on the separation of analytes. The drug molecules with different logP values containing protonated and deprotonated acids, bases and zwitterions are selected as examples and this article addresses various issues related to the method development, relationships between analyte retention and mobile phase pH and the pKa value of the analyte. The advances in this regard, with highlights on topics such as mechanisms of retention and various factors that influence the retention behaviour of analytes, are also updated with suitable examples.
On the path to sustainable development: The nexus among owner gender diversity, energy management, and firms' innovation radicalness
Authors: Prokop Viktor , Hojnik Jana , Zapletal David , Žižmond Egon 
Published: August 2022

AbstractThis research focuses on the part of sustainable development related to energy management and thus aims to find the missing piece in research on the role of owner gender diversity (OGD) in processes of energy management (EM) introduction and the creation of radical and incremental innovation. Employing the World Bank's Enterprise Survey 2019 data covering 4646 firms from 11 European countries, we confirm the hypothesis that OGD increases firms' chance to reach radical and incremental innovation. Contrary to the majority of prior studies, we reject the hypothesis that OGD increases firms' chance to introduce EM; rather, we empirically prove the positive effects of firms' value drivers and market pressure on EM. We also confirm the link between firms' introduction of EM and the creation of radical and incremental innovations. This study expands research into the gender diversity of the upper echelons, addressing recent calls to expand open innovation research into new research categories and identify the determinants of firms' introduction of EM.
α‐Acetolactate decarboxylase immobilized in chitosan: A highly stable biocatalyst to prevent off‐flavor in beer
Authors: Costa Gustavo Pires , Spolidoro Luiza Strapasson , Manfroi Vitor , Rodrigues Rafael C. , Hertz Plinho Francisco 
Published: August 2022

AbstractIn this work, we studied the covalent immobilization of α‐acetolactate decarboxylase (ALDC) on glutaraldehyde activated chitosan beads for application in beers to prevent off‐flavor. The immobilized preparation was characterized regarding yield, efficiency, activity recovery, thermal and pH stabilities, and operational stability in beer. The concentration of activating agent was evaluated and at the best condition an immobilization yield of 84% and activity recovery of 9.1% were verified. Optimal pH was 6.0 for free and immobilized enzymes, however, the immobilized enzyme showed higher relative activity at the tested pH, with emphasis on the pH range from 5.0 to 6.5. Besides, immobilized enzyme showed stabilization factor of almost sevenfold at 60°C compared to free form. The immobilized biocatalyst was tested in repeated batches in beer for α‐acetolactate conversion to acetoin, and after 12 cycles the enzyme presented 80% of its initial activity. To date, this is the most stable immobilized preparation of ALDC reported.
Up‐regulation of secretory leukocyte protease inhibitor in human samples might have a potential role of predicting prostate cancer recurrence and progression after surgery and hormonal therapy
Authors: Miyazaki Yu , Goto Takayuki , Li Xin , Nakayama Kenji , Okasho Kosuke , Takeda Masashi , Mizuno Kei , Kimura Hiroko , Uegaki Masayuki , Sumiyoshi Takayuki , Teramoto Yuki , Akamatsu Shusuke , Kobayashi Takashi , Ogawa Osamu , Inoue Takahiro 
Published: August 2022

AbstractUsing new castration‐resistant prostate cancer (CRPC) cell lines developed from LNCaP cells as a model for CRPC, we searched for novel biomarkers by analyzing the proteins secreted in culture supernatants. The results showed that the levels of secretory leukocyte protease inhibitor (SLPI) in these cell lines were 4.7–6.7 times higher than those secreted in parental LNCaP. Patients with localized prostate cancer (PC) and who expressed SLPI had a significantly lower prostate‐specific antigen (PSA) progression‐free survival rate than those who did not. Multivariate analysis revealed that SLPI expression was an independent risk factor for PSA recurrence. By contrast, when immunostaining of SLPI was performed on consecutive prostate tissue samples obtained from 11 patients, both in hormone naive (HN) and castration resistant (CR) conditions, only one patient expressed SLPI in the HNPC state; however, four of the 11 patients expressed SLPI in the CRPC state. In addition, two of these four patients were resistant to enzalutamide, and there was a discrepancy between their serum PSA levels and radiographic progression of the disease. These results suggest that SLPI can be a predictor of prognosis in patients with localized PC and disease progression in CRPC patients.
Study on moisture migration mechanism of dough during subfreezing storage
Authors: Gao Haiyan , Liu Yufen , Meng Kexin , Zeng Jie 
Published: August 2022

AbstractBackground and ObjectivesThe objective of this study was to investigate the effects of subfreezing storage on gluten protein denaturation and water retention. On this basis, the surface hydrophobicity, secondary structure, thermal stability, microstructure, and moisture distribution of gluten protein were measured.FindingsThe results showed that at the end of storage, the hydrophobicity indexes of wheat gluten proteins (−9°C and −12°C) stored under subfreezing conditions were significantly lower than those stored at 4°C and slightly lower than those stored at −18°C. The secondary structure stability of wheat gluten stored at −18°C was similar. P21 stored at −18°C was significantly higher than those stored at 4°C and showed an upward trend. The quality of the dough was similar to those stored at −18°C.ConclusionsThe deformation and water retention of gluten during subfreezing storage are similar to those stored at −18°C.Significance and NoveltyThe changes in dough moisture and gluten protein structure during frozen storage at different freezing temperatures were explored to provide a theoretical basis for the application of subfrozen storage in the frozen flour products industry.
A novel imbalanced fault diagnosis method integrated KLFDA with improved cost‐sensitive learning ANBSVM
Authors: Jiang Xue , Xu Yuan , Ke Wei , Zhang Yang , Zhu Qunxiong , He Yanlin 
Published: August 2022

AbstractFault diagnosis, as an important approach to ensure the safety and stability of industrial processes, has been widely studied in recent years. During the running process, it is noted that the normal data are always much more than the fault data, which demonstrates imbalanced characteristics and leads to a negative effect on the overall accuracy of fault diagnosis. Targeting the problem, a novel imbalanced fault diagnosis method integrated kernel local Fisher discriminant analysis (KLFDA) with improved adaptive near‐Bayesian support vector machine (ANBSVM) is proposed in this paper. First, KLFDA is used to extract the non‐linear features while maintaining the local spatial structure of the data by introducing flow pattern learning. Second, considering the imbalance characteristics of the data, the data set is divided into a majority class (normal data) and a minority class (fault data). The density distributions of the two classes in their overlapping region are characterized by the proportional function of variance. Third, by minimizing the Bayesian error under the proportion function, the weight factors are adaptively obtained and then introduced into the objective function of the support vector machine (SVM). Namely, a cost sensitivity‐based ANBSVM classifier for fault diagnosis is constructed. Finally, by the simulation experiment on the Tennessee Eastman (TE) process, the comparison results show that the proposed ANBSVM‐based fault diagnosis method makes progress in the performance of fault diagnosis with higher diagnostic accuracy and F1 score.
Modelling of adsorption of nickel (II) by blend hydrogels (cellulose nanocrystals and corn starch) from aqueous solution using adaptive neuro‐fuzzy inference systems (ANFIS) and artificial neural networks (ANN)
Authors: Banza Musamba , Rutto Hilary 
Published: August 2022

AbstractThe current study looks at the effectiveness of the removal of nickel (II) from aqueous solution using an adsorption method in a laboratory‐size reactor. An artificial neural network (ANN) and an adaptive neuro‐fuzzy inference system (ANFIS) were used in this study to predict blend hydrogels adsorption potential in the removal of nickel (II) from aqueous solution. Four operational variables, including initial Ni (II) concentration (mg/L), pH, contact duration (min), and adsorbent dose (mg/L), were used as an input with removal percentage (%) as the only output; they were studied to assess their impact on the adsorption study in the ANFIS model. In contrast, 70% of the data was used for training, while 15% of the data was used in testing and validation to build the ANN model. Feedforward propagation with the Levenberg–Marquardt algorithm was employed to train the network. The use of ANN and ANFIS models for experiments was used to optimize, construct, and develop prediction models for Ni (II) adsorption using blend hydrogels. The adsorption isotherm and kinetic models were also used to describe the process. The results show that ANN and ANFIS models are promising prediction approaches that can be applied to successfully predict metal ions adsorption. According to this finding, the root mean square errors (RMSE), absolute average relative errors (AARE), average relative errors (ARE), mean squared deviation (MSE), and R2 for Ni (II) in the training dataset were 0.061, 0.078, 0.017, 0.019, and 0.986, respectively, for ANN. In the ANFIS model, the RMSE, AARE, ARE, MSE, and R2 were 0.0129, 0.0119, 0.028, 0.030, and 0.995, respectively. The adsorption process was spontaneous and well explained by the Langmuir model, and chemisorption was the primary control. The morphology, functional groups, thermal characteristics, and crystallinity of blend hydrogels were all assessed.
Prognostic evaluation of preoperative serum tumor marker‐negative cases in non‐small cell lung cancer: A retrospective study
Authors: Onuki Yuichiro , Matsubara Hirochika , Koizumi Ryunosuke , Muto Mamoru , Sasanuma Harunobu , Sato Daisuke , Sugimura Aya , Uchida Tsuyoshi , Matsuoka Hiroyasu , Nakajima Hiroyuki 
Published: August 2022

AbstractBackgroundThe role of various serum tumor markers (TMs) has been reported in non‐small cell lung cancer (NSCLC). However, the prognosis of patients with multiple TM‐negative NSCLC remain unclear.AimsThis study aimed to describe the characteristics and outcomes of patients with NSCLC undergoing surgery and to investigate their prognostic association with preoperative serum TM‐negative cases.Methods and resultsWe retrospectively evaluated 442 patients who underwent complete resection of stage I NSCLC between January 2004 and December 2019. These 442 patients were classified into a group whose preoperative serum levels of carcinoembryonic antigen (CEA), cytokeratin‐19 fragment (CYFRA21‐1), carbohydrate antigen 19‐9 (CA19‐9), and squamous cell carcinoma antigen (SCC Ag) were all negative (TM‐negative group; n = 249, 56%) and a group with at least one positive marker (TM‐positive group; n = 193, 44%). Among all patients, the TM‐negative group showed higher 5‐year recurrence‐free survival (RFS) (92.6% vs. 79.1%; p < .01), and overall survival (OS) rates (86.3% vs. 68.6%; p < .01). After propensity score matching, patients in the TM‐negative group still exhibited good 5‐year RFS (92.1% vs. 81.4%; p = .01) and OS rates (87.6% vs. 72.6%; p < .01).ConclusionOur study suggests that NSCLC patients who are preoperatively negative for all serum TMs, such as CEA, CYFRA21‐1, CA19‐9, and SCC Ag, represent a subgroup with a particularly good prognosis.
Mathematical models of the solid cancer induced by atomic bomb and the spontaneous cancer in the daily life—Proposal of a new medical treatment for cancers
Authors: Baba Hiroshi , Yokoyama Akihiko 
Published: August 2022

AbstractBackgroundA mathematical model of the radiation−induced cancer was devised to explain the change of incidence rates pursued by Radiation Effect Research Foundation for 25 years.AimThe aim of this work is construction of mechanisms of radiation‐induced cancer and cancers observed in the daily life.Methods and resultsFirst, we found a way to separate spontaneous cancers from radiation‐induced cancers observed among atomic‐bomb victims in Hiroshima and Nagasaki districts by using a constructed algorithm. The isolated incidence rates of radiation‐induced cancers were reproduced by a two‐stage model mechanical collision of impinging radiation with cells and succeeding mutation of the damaged cell to cancer. This model satisfactorily reproduced observed solid cancer incidence rates. We further attempted to construct a mathematical model for the age‐dependence of spontaneous cancers appearing in the daily life and concluded that the cancer should be generated at cell division.ConclusionWith these findings, we reached to a conclusion that cancers may be suppressed by eliminating damaged cells with mild–dose radiation.