bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the Effectiveness of Low Pressure Carbon Dioxide as a Hurdle in Raw Milk Storage
Authors: Rajmohan T. Sree Vishnu , Beena A. K. , James Ligimol , Babu P. Sudheer , Sudhakaran Aparna , Rejeesh R. 
Published: April 2023

Aims: To evaluate the effectiveness of low pressure carbon dioxide as a hurdle in raw milk storage.
Study Design: Milk samples were stored at under low pressure carbon dioxide at 29°C for 6 hours and the microbial quality of milk was compared with control milk.
Place and Duration of Study: Department of Dairy Microbiology, Verghese Kurien Institute of Dairy and Food Technology (VKIDFT), Kerala Veterinary and Animal Sciences University, Mannuthy between January 2020 and December 2020.
Methodology: Milk samples were collected from an organized farm. The initial microbial quality of milk was determined and samples were carbonated to a pressure of 20 psi and stored for six hours 29°C, uncarbonated milk sample kept at 29°C acted as the control. The microbial quality of the carbonated milk and uncarbonated milk was determined after storage in terms of total viable count, coliform count and gram negative organism count.
Results: Significant growth suppression (P=0.05) of bacteria was observed in the carbonated milk. Total Viable count showed a suppression of 1.05 log cfu/ml while coliforms showed a suppression of 1.3 log cfu/ml. The greatest log reduction was observed in gram negative organisms with a difference of 2.2 log cfu/ml and psychrotrophic organisms with 1.54 log cfu/ml.
Conclusion: Carbon dioxide was found to be an effective bacteriostatic agent which could be used for extending the keeping quality of raw milk. The bacteriostatic action could be due to anaerobic conditions developed by carbon dioxide and also due to the increased acidity of the medium.
Efficacy of hydrogen peroxide to reduce Gyrodactylus species infestation density on four fish species
Authors: Tuttle‐Lau Maren T. , Leis Eric M. , Cupp Aaron R. , Peterman Laura L. , Hebert Jillian L. , Erickson Richard A. , Schleis Susan M. , Gaikowski Mark P. 
Published: April 2023

AbstractObjectiveThe ability to effectively treat parasitic infestations of fish is of high importance for fish culture facilities. However, tools or approved therapies for treating infestations on fish are limited. This paper summarizes results from four separate clinical field studies that evaluated the efficacy of hydrogen peroxide (H2O2; 35% PEROX‐AID) for reducing Gyrodactylus spp. infestation density.MethodsThree species of Gyrodactylus were studied (G. salmonis, hosts: Brook Trout Salvelinus fontinalis and Lake Trout S. namaycush; G. freemani, host: Yellow Perch Perca flavescens; G. hoffmani, host: Fathead Minnow Pimephales promelas) before and after the application of immersion H2O2 therapy.ResultParasite density was significantly reduced for each parasite × host combination to which H2O2 therapy was applied. Two clinical field studies in salmonids were found to demonstrate substantial effectiveness that enabled 35% PEROX‐AID approval.ConclusionFurther assessments of Gyrodactylus spp. could expand the use of H2O2 for controlling these parasites in aquaculture. Specifically, H2O2 was effective at all levels tested (50 or 75 mg H2O2/L for 60 min for the Yellow Perch and Fathead Minnow clinical field studies; 100 or 150 mg H2O2/L for 30 min regardless of salt pre‐treatment for the Brook Trout study; and 100 mg H2O2/L for 30 min or 50 mg H2O2/L for 60 min for the Lake Trout study).
Association of Sleep Disturbance With Catastrophizing and Knee Pain: Data From the Osteoarthritis Initiative
Authors: Wang Yining , Li Xiaoxi , Zhang Youyou , Ma Yubo , Xu Shengqian , Shuai Zongwen , Pan Faming , Cai Guoqi 
Published: April 2023

ObjectiveTo investigate the relationship between sleep disturbance, catastrophizing, and knee pain in middle‐aged and older individuals.MethodsData from the Osteoarthritis Initiative cohort from months 48 to 96 were used, where month 48 was treated as baseline. Knee pain (Western Ontario and McMaster Universities Osteoarthritis Index pain scale score ≥5 [range 0–20]), catastrophizing (extracted from Coping Strategies Questionnaire score ≥3 [range 0–6]), and sleep quality (extracted from Center for Epidemiologic Studies Depression Scale [range 1–4]) were assessed annually. We described the association of sleep disturbance with the presence and risk of knee pain and catastrophizing. The mediation effect of knee pain and catastrophizing on the sleep–catastrophizing and sleep–pain association was evaluated, respectively.ResultsCatastrophizing and knee pain were reported in 346 (10%) and 917 (24%) of the 3,813 participants (mean 64.9 years, 58% female) at baseline. Participants with worse sleep disturbance were more likely to have knee pain (prevalence ratio [PR] 1.4–2.0, P for trend <0.001) and catastrophizing (PR 1.4–3.1, P for trend <0.001). Sleep disturbance at baseline predicted the risk of knee pain (risk ratio [RR] 1.1, P for trend <0.001) and catastrophizing (RR 1.2–1.7, P for trend <0.001) during follow‐up. No statistically significant interactions between sleep disturbance and knee pain or catastrophizing were observed. Knee pain and catastrophizing mediated the sleep–catastrophizing and sleep–pain association, respectively, at baseline, and knee pain negatively mediated the sleep–catastrophizing association longitudinally.ConclusionSleep disturbance was associated with the presence and risk of catastrophizing and knee pain. Sleep interventions may have a universal and independent effect in preventing incident knee pain.
Neural network‐based decentralized adaptive fault‐tolerant control for a class of nonlinear interconnected systems with unknown input powers
Authors: Zhu Jiyu , Shen Qikun , Zhang Tianping 
Published: April 2023

SummaryThis article studies the output tracking control for a class of interconnected nonlinear systems with actuator faults, where each subsystem has unknown powers. Based on Lyapunov stability theory, a neural‐network‐based decentralized adaptive fault‐tolerant control scheme is proposed so that each tracking error can be constricted in a small adjustable neighborhood of the origin. In existing results, interconnections and actuator bias faults have been addressed. But the systems' input powers are required to be a known positive integer and preferably one. So in our article, we relax the restrictions and consider more general systems whose input powers are extended to larger than one and unknown at the same time. Finally, two numerical simulation examples are shown to explain the validity of control strategy proposed in our article.
Conversion of Surface Residual Alkali to Solid Electrolyte to Enable Na‐Ion Full Cells with Robust Interfaces
Authors: Xu Weiliang , Dang Rongbin , Zhou Lin , Yang Yang , Lin Ting , Guo Qiubo , Xie Fei , Hu Zilin , Ding Feixiang , Liu Yunpeng , Liu Yuan , Mao Huican , Hong Juan , Zuo Zhanchun , Wang Xiaoqi , Yang Rui , Jin Xu , Hou Xueyan , Lu Yaxiang , Rong Xiaohui , Xu Ning , Hu Yong‐Sheng 
Published: April 2023

AbstractThe deposition of volatilized Na+ on the surface of the cathode during sintering results in the formation of surface residual alkali (NaOH/Na2CO3NaHCO3) in layered cathode materials, leading to serious interfacial reactions and performance degradation. This phenomenon is particularly evident in O3‐NaNi0.4Cu0.1Mn0.4Ti0.1O2 (NCMT). In this study, a strategy is proposed to transform waste into treasure by converting residual alkali into a solid electrolyte. Mg(CH3COO)2 and H3PO4 are reacted with surface residual alkali to generate the solid electrolyte NaMgPO4 on the surface of NCMT, which can be labeled as NaMgPO4@NaNi0.4Cu0.1Mn0.4Ti0.1O2‐X (NMP@NCMT‐X, where X indicates the different amounts of Mg2+ and PO43−). NaMgPO4 acts as a special ionic conductivity channel on the surface to improve the kinetics of the electrode reactions, remarkably improving the rate capability of the modified cathode at a high current density in the half‐cell. Additionally, NMP@NCMT‐2 enables a reversible phase transition from the P3 to OP2 phase in the charge–discharge process above 4.2 V and achieves a high specific capacity of 157.3 mAh g−1 and outstanding capacity retention in the full cell. The strategy can effectively and reliably stabilize the interface and improve the performance of layered cathodes for Na‐ion batteries (NIBs).
A Highly Efficient Method for Designing Bisymmetric P‐B Phase Element Patterns of Coding Metasurfaces
Authors: Lu Zhengang , Liu Yunfei , Zhang Yilei , Wang Heyan , Tan Jiubin 
Published: April 2023

AbstractThe conventional trial‐and‐error method employed in the element pattern design of coding metasurfaces lacks theoretical guidance and requires considerable time and computational resources. To overcome this problem, this paper proposes a highly efficient design method for bisymmetric Pancharatnam‐Berry (P‐B) phase element patterns. First, the equivalent impedances of the element patterns are derived from the expected reflectance and frequency range using the transmission matrix method. Subsequently, the optimal geometric parameters of the element patterns are obtained using the equivalent circuit model. For the same element pattern, the time consumption is reduced by more than 25 times compared with that required for a single full‐wave simulation. The simulation results show that metasurfaces adopting various design element patterns and the same coding sequence exhibit excellent backscattering energy homogenization performance, with a radar‐cross‐section reduction (RCSR) of less than −10 dB in the 9.47–17.57 GHz band. Two types of metasurfaces are fabricated using a meshed pattern, a sodium–calcium glass and a metallic mesh. The measured RCSR is less than −10 dB for a broadband of 7.74 GHz, and the normalized optical transmittance is 85% within 380–2500 nm, which is favorable for optical windows used in aerospace, medical, and precision instrumentation.
All‐Optical‐Controlled Excitatory and Inhibitory Synaptic Signaling through Bipolar Photoresponse of an Oxide‐Based Phototransistor
Authors: Mi Yen‐Cheng , Yang Ching‐Hsiang , Shih Li‐Chung , Chen Jen‐Sue 
Published: April 2023

AbstractUsing light signals for computation and communication is a vital approach for advanced neuromorphic designs. In this study, an all‐optical‐controlled IGZO/ZrOx phototransistor is demonstrated to emulate synaptic functions via both positive and negative photoresponse arisen from the ionization of neutral oxygen vacancies (VO) and metalmetal bonding (MM) defects in IGZO at an illumination with visible light (405 and 520 nm) and near‐infrared light (750, 890, and 980 nm), respectively. With the coupling effect of photogenerated electrons and the charged MM++ defect scattering, the IGZO/ZrOx photosynaptic transistor not only shows broadband photosensing performance but also emulates the excitatory/inhibitory contrasting synaptic functions, such as learning‐ and regulating‐experience behavior of human brain, via applying 405 and 890 nm light pulses, respectively. The all‐optical‐controlled IGZO/ZrOx photosynaptic transistor therefore may convey optical information effectually for the streaming sensor processing in biologically inspired computer vision application.
Multiplex Digital Methylation‐Specific PCR for Noninvasive Screening of Lung Cancer
Authors: Zhao Yang , O'Keefe Christine M. , Hsieh Kuangwen , Cope Leslie , Joyce Sonali C. , Pisanic Thomas R. , Herman James G. , Wang Tza‐Huei 
Published: April 2023

AbstractThere remains tremendous interest in developing liquid biopsy assays for detection of cancer‐specific alterations, such as mutations and DNA methylation, in cell‐free DNA (cfDNA) obtained through noninvasive blood draws. However, liquid biopsy analysis is often challenging due to exceedingly low fractions of circulating tumor DNA (ctDNA), necessitating the use of extended tumor biomarker panels. While multiplexed PCR strategies provide advantages such as higher throughput, their implementation is often hindered by challenges such as primer‐dimers and PCR competition. Alternatively, digital PCR (dPCR) approaches generally offer superior performance, but with constrained multiplexing capability. This paper describes development and validation of the first multiplex digital methylation‐specific PCR (mdMSP) platform for simultaneous analysis of four methylation biomarkers for liquid‐biopsy‐based detection of non‐small cell lung cancer (NSCLC). mdMSP employs a microfluidic device containing four independent, but identical modules, housing a total of 40 160 nanowells. Analytical validation of the mdMSP platform demonstrates multiplex detection at analytical specificities as low as 0.0005%. The clinical utility of mdMSP is also demonstrated in a cohort of 72 clinical samples of low‐volume liquid biopsy specimens from patients with computed tomography (CT)‐scan indeterminant pulmonary nodules, exhibiting superior clinical performance when compared to traditional MSP assays for noninvasive detection of early‐stage NSCLC.
Cross‐sectional versus longitudinal cognitive assessments for the diagnosis of symptomatic Alzheimer's disease in adults with Down syndrome
Authors: Videla Laura , Benejam Bessy , Carmona‐Iragui María , Barroeta Isabel , Fernández Susana , Arranz Javier , Azzahchi Sumia Elbachiri , Altuna Miren , Padilla Concepción , Valldeneu Silvia , Pegueroles Jordi , Montal Víctor , Aranha Mateus Rozalem , Vaqué‐Alcázar Lídia , Iulita Maria Florencia , Alcolea Daniel , Bejanin Alexandre , Videla Sebastià , Blesa Rafael , Lleó Alberto , Fortea Juan 
Published: April 2023

AbstractBackgroundDown syndrome (DS) is a genetic form of Alzheimer's disease (AD). However, clinical diagnosis is difficult, and experts emphasize the need for detecting intra‐individual cognitive decline.ObjectiveTo compare the performance of baseline and longitudinal neuropsychological assessments for the diagnosis of symptomatic AD in DS.MethodsLongitudinal cohort study of adults with DS. Individuals were classified as asymptomatic, prodromal AD, or AD dementia. We performed receiver operating characteristic curve analyses to compare baseline and longitudinal changes of CAMCOG‐DS and mCRT.ResultsWe included 562 adults with DS. Baseline assessments showed good to excellent diagnostic performance for AD dementia (AUCs between 0.82 and 0.99) and prodromal AD, higher than the 1‐year intra‐individual cognitive decline (area under the ROC curve between 0.59 and 0.79 for AD dementia, lower for prodromal AD). Longer follow‐ups increased the diagnostic performance of the intra‐individual cognitive decline.DiscussionBaseline cognitive assessment outperforms the 1‐year intra‐individual cognitive decline in adults with DS.
Regulating the structure of thermoplastic polyurethane elastomers with a diol chain extender to strength performance
Authors: Ma Yao , Wu Lianfeng , Li Shaolong , Han Xu , Peng Xiaoyong , Feng Yingmin , Ji Yumei , Yang Yike , Liu Feng 
Published: April 2023

AbstractThe structural defects of thermoplastic polyurethane elastomer (TPU) caused by the uneven distribution of hard segments limiting their potential application in special industrial fields such as aerospace or defense equipment. Optimizing the TPUs' structure is a useful method to adjustable uneven distribution of hard segments and enhance the performance of TPUs. In this work, a chain extender (BMB) embedded in carbamate‐derive units was successfully synthesized by 4,4′‐diphenylmethane diisocyanate (MDI) and 1,4‐butanediol (BDO). Using BMB and as chain extender, a modified BMB‐TPU was prepared, and its properties were systematically evaluated. Compared with conventional thermoplastic polyurethane elastomer (BDO‐TPU), BMB‐TPU had a regular structure with uniform hard segments, narrower molecular weight distribution and stronger intra/inter‐chain hydrogen bonding interactions, and thus better microphase separation. The BMB‐TPU exhibited an excellent tensile strength of 35 MPa, 46% higher than 24 MPa for the control BDO‐TPU. Moreover, the heat resistance of BMB‐TPU was also reinforced compared to BDO‐TPU, with an increase of 7.2°C for the degradation temperature of 5% loss and 9.6°C for the viscous flow transition temperature. We believe our paradigm can provide a feasible guide for designing high‐performance TPUs.
Cure cycle optimization of infrared cured composites using Taguchi method
Authors: Alpay Yakup O. , Uygur İlyas , Kılınçel Mert , Samtaş Gürcan 
Published: April 2023

AbstractKnowing that cure cycle has a significant effect on the mechanical properties of the composite materials, determining the effects of cure cycle parameters – such as heating rate, maximum temperature, and dwell time, has gain importance. This study addresses the optimum cure cycle of an infrared cured carbon fiber pre‐preg material. An infrared oven equipped with 1 kW halogen infrared heating unit and vacuum system was used. Different cure cycles determined by means of Taguchi experiment design approach and a cure cycle was found maximizing the tensile strength of the material. Results showed that infrared curing is a strong alternative to the autoclave despite its shortcomings regarding the product geometry. The optimized cure cycle showed 23% increase in the tensile strength comparing the tested cure cycle which is resulted with the minimum tensile strength. Besides, comparing the specimens cured with the optimum cure cycle, the infrared cured specimens showed slightly higher tensile strength than the autoclave cured counterparts. According to Taguchi optimization, optimum values for maximum tensile strength were found as 10°C/min, 130°C for heating rate and 60 min for plateau time. According to the analysis of variance, the most effective parameter affecting the tensile strength was the heating rate.
A Flexible Solid Polymer Electrolyte based Polymerized Ionic Liquid for High Performance Solid‐State Batteries
Authors: Liu Yuxiang , Ma Furui , Li Wenpeng , Gai Ligang , Yang Haohua , Zhang Zengqi 
Published: April 2023

AbstractSolid polymer electrolytes (SPEs) combine the benefits of ceramic electrolyte and polymer electrolyte, and have broad application prospects in high‐energy lithium metal batteries. However, low Li+ conductivity and tensile strength are crucial elements that hinder the application of solid polymer electrolytes. In this paper, an effective solid polymer electrolyte was proposed to solve these problems. A polymerized ionic liquid (PIL) was chosen as the ionic transport material to synthesize three‐dimensional cross‐linked ion channels through thermal polymerization, which can effectively improve the ionic conductivity. This work is different from some other reports that add ionic liquid without C=C double bond. We used the vinyl ionic liquid (IL) as matrix via polymerization with azobis initiator (AIBN) and the obtained co‐polymer has excellent flexibility and non‐flowing character. Li6.4La3Zr1.4Ta0.6O12 (LLZTO) ceramic filler was added to enhance the thermal stability and tensile strength of the electrolyte. Meanwhile, solid‐state batteries (SSBs) assembled with LiFePO4 cathode and high‐voltage LiNi0.8Co0.1Mn0.1O2 cathode can deliver remarkable cell performance. This work presents an appropriate device for the structure of modern polymerized ionic liquid solid polymer electrolytes, and shows significant implication for the progress of high‐property polymer electrolytes.
A bibliometric analysis of worldwide cancer research using machine learning methods
Authors: Lin Lianghong , Liang Likeng , Wang Maojie , Huang Runyue , Gong Mengchun , Song Guangjun , Hao Tianyong 
Published: April 2023

AbstractWith the progress and development of computer technology, applying machine learning methods to cancer research has become an important research field. To analyze the most recent research status and trends, main research topics, topic evolutions, research collaborations, and potential directions of this research field, this study conducts a bibliometric analysis on 6206 research articles worldwide collected from PubMed between 2011 and 2021 concerning cancer research using machine learning methods. Python is used as a tool for bibliometric analysis, Gephi is used for social network analysis, and the Latent Dirichlet Allocation model is used for topic modeling. The trend analysis of articles not only reflects the innovative research at the intersection of machine learning and cancer but also demonstrates its vigorous development and increasing impacts. In terms of journals, Nature Communications is the most influential journal and Scientific Reports is the most prolific one. The United States and Harvard University have contributed the most to cancer research using machine learning methods. As for the research topic, “Support Vector Machine,” “classification,” and “deep learning” have been the core focuses of the research field. Findings are helpful for scholars and related practitioners to better understand the development status and trends of cancer research using machine learning methods, as well as to have a deeper understanding of research hotspots.
Involvement of the DAF‐16/FOXO Pathway in the Antioxidant Activity of the Jaboticaba (Myrciaria trunciflora) Extract against Various Stressors Using Caenorhabditis elegans
Authors: Ramos Boldori Jean , de Los Santos Moraes Liliana , de Freitas Rodrigues Cristiane , Limana Tambara Andréia , Casagrande Denardin Cristiane 
Published: April 2023

AbstractBackground: Jaboticaba (Myrciaria trunciflora) belongs to the family Myrtaceae and is a fruit native to the Atlantic Forest of Brazil. The aim of this study was evaluate the activity of the extract of jaboticaba against different stresses in Caenorhabditis elegans. Methods: Initially, the toxicological profile of the extract was analyzed, evaluating survival, reproduction, and longevity. After the tests of resistance to oxidative stress, thermal and against ultraviolet radiation were carried out. In order to discover a signaling pathway involved in this process the DAF‐16 pathway was analyzed. Results: It was found that the extract has no toxicity and is still able to prolong longevity in concentrations of 50 and 100 μg of GAE/mL. It was able to protect against damage from the juglone, temperature and UV radiation. This effect is mediated by the activation of the translocation of the DAF‐16 factor to the cell nucleus and subsequent activation of defense pathways. Conclusions: Together, it is possible to verify that the extract of jaboticaba is important for the protection of the damages to which were daily exposed, in order to decrease the free radicals and consequently the damages that lead to aging and/or the appearance of diseases.
Impact of Divalent Metal Ions on Regulation of Trans‐Cleavage Activity of CRISPR‐Cas13a: A Combined Experimental and Computational Study
Authors: Feng Zhi‐Yuan , Yun Yang‐Fang , Li Xiang , Zhang Jingjing 
Published: April 2023

AbstractCRISPR‐LbuCas13a has emerged as a revolutionary tool for in vitro diagnosis. Similar to other Cas effectors, LbuCas13a requires Mg2+ to maintain its nuclease activity. However, the effect of other divalent metal ions on its trans‐cleavage activity remains less explored. Herein, we addressed this issue by combining experimental and molecular dynamics simulation analysis. In vitro studies showed that both Mn2+ and Ca2+ could replace Mg2+ as cofactors of LbuCas13a. In contrast, Ni2+, Zn2+, Cu2+, or Fe2+ inhibits the cis‐ and trans‐cleavage activity, while Pb2+ does not affect it. Importantly, molecular dynamics simulations confirmed that calcium, magnesium, and manganese hydrated ions have a strong affinity to nucleotide bases, thus stabilizing the conformation of crRNA repeat region and enhancing the trans‐cleavage activity. Finally, we showed that combination of Mg2+ and Mn2+ can further enhance the trans‐cleavage activity to allow amplified RNA detection, revealing its potential advantage for in vitro diagnosis.