bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual Matrix Influence on Ni(II) Rich Hybrid Catalyst for Electrochemical Methanol Oxidation Reaction
Authors: Hoque Nazimul , Lee Seonghwan , Park Young‐Bin , Roy Subhasish , Baruah Manash J. , Biswas Subir , Gogoi Gautam , Bora Tonmoy J. , Dutta Rupjyoti , Bania Kusum K. 
Published: July 2022

AbstractThe influence of two different surface matrices, that is, zeolite‐Y and multi‐walled carbon nanotubes (MWCNTs), on the electrocatalytic ability of Ni(OH)2 combined with MnO2 has been studied. The Ni and Mn loaded in different ratio exhibited different current density with respect to the change in the nature of support. The MnO2−Ni(OH)2 catalyst decorated like a fish in a net‐stock at the interface of the zeolite‐Y and the MWCNT with high Ni(II) content provided the highest current density of 3.8 Amg−1 and 3.6 Amg−1 with platinum and graphitic rod as counter electrode, respectively. The study revealed that both the concentration of the Ni(II) as well as the nature of the support influenced the electrochemical behaviour of MnO2−Ni(OH)2. The electrochemical surface area as well as the durability of the catalyst having two different supports showed higher values in comparison to those in single matrix. The plot of current density vs. square root of scan rate showed diffusion control methanol oxidation process. The results predicted that the MnO2−Ni(OH)2 catalyst containing both zeolite‐Y and MWCNT surface indicated that under the highly basic condition it can withstand for long period without significant loss in current density during the methanol oxidation reaction process.
Pharmacokinetics, Bioequivalence, and Safety Studies of a Generic Selective Tyrosine Kinase Inhibitor Nilotinib Capsule Versus a Branded Product in Healthy Chinese Volunteers
Authors: Wang Meng , Zhu Yifang , Huang Ming , Wang Hao , Zhou Wenjia , Lu Dan , Zhang Quanying 
Published: July 2022

AbstractNilotinib, a second‐generation tyrosine kinase inhibitor (TKI), has been approved in the United States and Europe as a treatment for patients with newly diagnosed chronic myeloid leukemia (CML)‐chronic phase (CP) and patients with CML‐CP or chronic myeloid leukemia‐accelerated phase (CML‐AP) who are resistant or intolerant to imatinib (a first‐generation TKI). This study compared the bioequivalence and safety of the test nilotinib capsule and reference nilotinib capsule (Tasigna, Novartis) in healthy Chinese volunteers under fasting conditions for marketing authorization in China. The results of the study are reported for the first time. This was a single‐dose, randomized, open‐label, two‐period, and cross‐over study. Thirty healthy volunteers were randomly assigned to receive a single dose of a 200‐mg test or reference capsule under fasting conditions in each period with a 10‐day washout. Plasma samples were analyzed with liquid chromatography‐tandem mass spectrometry. Pharmacokinetic parameters were calculated with WinNonlin software. The geometric mean ratio and the corresponding 90% confidence intervals of Cmax, AUC0‐t, and AUC0‐∞ for nilotinib between the two fixed‐dose combination formulations were within the bioequivalence acceptance range of 80%–125%, therefore the generic and branded formulations were bioequivalent in healthy Chinese volunteers.
Optimal classification of music genres based on acoustic and visual features
Authors: Kumaraswamy Balachandra 
Published: July 2022

SummaryGenerally, music includes numerous genres like jazz, pop and so forth. Every genre encompasses diverse musical instruments. For classifying music manually, the individual should pay attention to the song and choose the genre. It consumes more time and the individual should know diverse genres. This article aims to introduce an innovative music genre classification model by considering 2 phases. Initially, short‐time Fourier transform, pitch, Timbre, MNMF, and proposed LBP and bag of words‐based features are extracted. Subsequently, the extracted features are subjected to ensemble classifiers, where support vector machine, neural network, random forest are deployed. The output attained from ensemble classifiers is then classified using deep belief network (DBN) which classifies the music genres in a precise way. For precise detection, the training of DBN is made optimal via tuning the weights. This optimization is carried out by a Whale Integrated Sea Lion Algorithm. At last, the supremacy of the developed model is examined via the evaluation of extant techniques.
A probabilistic approach: Uncertain navigation of the uncertain web
Authors: Boulaares Soura , Sassi Salma , BenSlimane Djamal , Faiz Sami 
Published: July 2022

SummaryIn the era of Internet Technology (IT), uncertainty management is a challenge in many fields. These include e‐commerce, social and sensor networks, scientific data production and mining, object tracking, data integration, geo‐located services, and recently Internet and Web of Things. Due to the uncertain data published on the web, web resources are diverse. Hence, identical resources could be available from heterogeneous platforms and heterogeneous resources could represent the same objects. These resources are hugely heterogeneous, conflict, inconsistent, or have incompatible formats. This uncertainty is inherently related to many facts, such as information extraction and integration. Hence, with web resources proliferation on the web, referencing through the uncertain web has become increasingly difficult. The traditional techniques used for the classical web could not handle uncertain navigation. Generally, it's implicitly represented, decided randomly, or even neglected. Harnessing these uncertain resources to their full potential in order to handle the uncertain navigation, raises major challenges that relate to each phase of their life cycle: creation, representation, and navigation. In this article, we establish a probabilistic approach to model and interpret uncertain web resources. We present operators to compute response uncertainty. Finally, we create algorithms in order to validate resources and achieve uncertain hypertext navigation.
Optimization techniques for task scheduling criteria in IaaS cloud computing atmosphere using nature inspired hybrid spotted hyena optimization algorithm
Authors: Natesan Gobalakrishnan , Ali Javid , Krishnadoss Pradeep , Chidambaram Raman , Nanjappan Manikandan 
Published: July 2022

SummaryCloud computing has garnered unprecedented growth in recent years in the field of Information Technology. It has emerged as a high‐performance computing option owing to its infrastructure that comprises of heterogeneous collection of autonomous computers and adaptable network architecture. The tasks that are scheduled in an optimized manner for their execution could be classified under NP‐hard problems. Though meta‐heuristic scheduling algorithms emerge as scheduling options, they need to be much more consistent while dealing with the dynamic set up of the cloud environment. In this paper, we had proposed a multi‐objective meta‐heuristic scheduling algorithm namely Quasi Oppositional Genetic Spotted Hyena Optimization (QOGSHO) algorithm that globally optimizes the makespan, resource consumption and SLA violation QoS parameters, thereby improving the performance. The algorithm proposed is an amalgamated product of meta‐heuristic algorithms like Quasi Oppositional Based Learning (QOBL), Spotted Hyena Optimization (SHO), and Genetic Algorithm (GA). The performance efficiency of the proposed QOGSHO algorithm had been compared with various scheduling algorithms using uniform datasets by varying the data instance sizes in a simulated cloud environment. The obtained results clearly justify the task scheduling efficiency of the proposed algorithm with respect to the QoS parameters namely makespan, resource utilization and SLA violation.
Electrolytes for Multivalent Metal‐Ion Batteries: Current Status and Future Prospect
Authors: Zhang Shu , Long Tao , Zhang Hao‐Ze , Zhao Qing‐Yuan , Zhang Feng , Wu Xiong‐Wei , Zeng Xian‐Xiang 
Published: July 2022

AbstractElectrochemical energy storage has experienced unprecedented advancements in recent years and extensive discussions and reviews on the progress of multivalent metal‐ion batteries have been made mainly from the aspect of electrode materials, but relatively little work comprehensively discusses and provides an outlook on the development of electrolytes in these systems. Under this circumstance, this Review will initially introduce different types of electrolytes in current multivalent metal‐ion batteries and explain the basic ion conduction mechanisms, preparation methods, and pros and cons. On this basis, we will discuss in detail the research and development of electrolytes for multivalent metal‐ion batteries in recent years, and finally, critical challenges and prospects for the application of electrolytes in multivalent metal‐ion batteries will be put forward.
A power‐efficient current‐integrating hybrid for full‐duplex communication over chip‐to‐chip interconnects
Authors: Govindaswamy Prema Kumar , Pasupureddi Vijaya Sankara Rao 
Published: July 2022

SummaryThis work proposes a power‐efficient half‐rate current‐integrating logic (CIL) echo cancelation hybrid circuit topology for full‐duplex communication for off‐chip interconnects in 65 nm CMOS. The proposed hybrid topology has a low power consumption compared to traditional current‐mode hybrid circuit topology implementations, thanks to the CIL hybrid topology with sample and hold front‐end. The post‐layout performance of the half‐rate CIL hybrid includes package parasitic has a differential received signal voltage swing of 190 mV at 10 Gb/s data rate with a timing jitter of 16 ps over a 20 cm FR4 PCB interconnect. The total power consumption of the half‐rate CIL hybrid is only 2 mW, and its energy efficiency is 0.4 pJ/bit. The layout of the hybrid occupies an area of 0.0008 mm2.
Design and development of novel single multiplex system incorporating 26 rapidly mutating Y‐STRs; 26 RM Yplex
Authors: Albastaki Abdulla , Naji Mohammed , Lootah Reem , Almheiri Reem , Almulla Hanan , Alreyami Afra , Almarri Iman , Yu Zailiang , Zhang Yueke , Shu Chang , Alghafri Rashed 
Published: July 2022

AbstractThis article details the development of a single multiplex system amplifying 26 rapidly mutating Y‐STR markers. A sequenced allelic ladder, constructed for calling alleles of all loci, is introduced. The multiplex system shows the ability to address the limitations of Y‐STRs commercial kits in differentiating closely related males. The multiplex performed well in the prevalidation tests and showed great potential to be used in forensic casework.
A passive pump‐assisted microfluidic assay for quantifying endothelial wound healing in response to fluid shear stress
Authors: Yang Yunong , Li Yongjiang , Yu Miao , Xue Chundong , Liu Bo , Wang Yanxia , Qin Kairong 
Published: July 2022

AbstractThere as an urgent need to quantify the endothelial wound‐healing process in response to fluid shear stress to improve the biological and clinical understanding of healing mechanisms, which is of great importance for preventing healing impairment, chronic wounds, and postoperative in‐stent restenosis. However, current experimental platforms not only require expensive, cumbersome, and powered pumping devices (to, e.g., generate cell scratches and load shear stress stimulation) but also lack quantitative controls for quantitative analysis. In this paper, a passive pump‐assisted microfluidic assay is developed to quantify endothelial wound healing in response to fluid shear stress. Our assay consists of passive constant‐flow pumps based on the siphon principle and a three‐inlet microfluidic chip for cell wound‐healing experiments. We also propose a method for quantitatively adjusting cell scratch size by controlling trypsin flow. Both numerical simulations and fluorescein experiments validate the effectiveness of this method. Moreover, we use the designed microfluidic assay to successfully generate cell scratches, load a 12‐h shear stress of 5 dyn/cm2 to the cells, and observe wound healing. The results indicate that the healing of a cell scratch is significantly accelerated under the stimulation of shear stress. In conclusion, our passive pump‐assisted microfluidic assay shows versatility, applicability, and the potential for quantifying endothelial wound healing in response to fluid shear stress.
Research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics
Authors: Yunwei Meng , Wen Lang , Liu Tangzhi , Xu Jin , Zheng Boren , Zhang Xiyan , Qing Guangyan 
Published: July 2022

AbstractWhen driving on mountain roads, the drivers bear the dynamic load from the road environment. The sudden change of driving load will produce great safety risks and even lead to traffic accidents. In order to explore the driving risk of two‐lane road in mountainous areas, it is necessary to analyze the change of driving load from a quantitative point of view. Using the road driving experiment, 10 male drivers were selected according to the experimental road conditions, collect the driver's visual and heart rate indicators, analyze the driver's physiological indicators, and study the driver's driving load evolution process on the mountain road. Combined with the classification of road environment, a driving load evaluation model based on catastrophe progression method is constructed. The driving load is divided into four states: low load state, affordable state, chaotic state and high load state. It is found that most sections of mountain roads are in a low load and bearable state. In semi closed and closed environment, the driving load is in a chaotic state, which affects the driving safety. The evaluation model can be used to evaluate the traffic safety of road environment.
Analysis and experimental validation of the load characteristics of the hydraulic rod in a shearer
Authors: Zhang Fujia , Zhang Kun , Liu Ya , Wei Xuntao , Zhong Donghu , Li Yuxia , Huang Liangsong , Du Mingchao 
Published: July 2022

AbstractThe joint surface of the preloaded structure of the hydraulic rod in a shearer is prone to bending and slitting. In this study, to systematically evaluate this phenomenon, critical load characterization parameters of the hydraulic rod are first determined based on its critical load, preload, working load, and residual preload. A critical load equation of the hydraulic rod is further established based on the principle of compatibility of small deformation. Finally, the integral solution method is used to solve the load equation of the hydraulic rod of the shearer by combining the deflection and rotation equation of the fuselage and the hydraulic rod on the upper side of the coal wall to obtain the deformation and load value of the hydraulic rod. The results show that the maximum load applied on the upper hydraulic rod on the coal wall, lower hydraulic rod on the coal wall, lower hydraulic rod on the gob side, and upper hydraulic rod on the gob side are 538.15, 500.3, 445.95, and 375.15 kN, respectively. The corresponding maximum deformation of the upper hydraulic rod on the coal wall, lower hydraulic rod on the coal wall, and lower hydraulic rod on the gob side are 2.4696, 1.653, and 0.9652 mm, respectively. Compressive deformation occurred on the upper hydraulic rod on the gob side with a magnitude of −1.6346 mm. Results of numerical calculations agree well with instantaneous measurements of the load in the hydraulic rod in a shearer using wireless sensing technology. The maximum error between the calculation and measurement is less than 4%, thus validating the accuracy of the proposed load model. Using the proposed load model, we further analyzed the load characteristics of the hydraulic rod under straight cutting working conditions with different pitch and roll angles. Our findings provide an important basis for understanding the load characteristics of the entire shearer, optimizing the structure of the hydraulic rod, and improving the lifetime of the shearer.
Experimental Exposure to Tebuconazole Affects Metabolism and Body Condition in a Passerine Bird, the House Sparrow (Passer domesticus)
Authors: Bellot Pauline , Dupont Sophie Marie , Brischoux François , Budzinski Hélène , Chastel Olivier , Fritsch Clémentine , Lourdais Olivier , Prouteau Louise , Rocchi Steffi , Angelier Frédéric 
Published: July 2022

Abstract
Triazole compounds are among the most widely used fungicides in agroecosystems to protect crops from potential fungal diseases. Triazoles are suspected to have an impact on nontarget species due to their interactions with nonfungal sterol synthesis, and wild birds are likely to be contaminated by triazole fungicides because many of them live in agroecosystems. We experimentally tested whether exposure to environmental concentrations of a triazole could alter key integrative traits (metabolic rates and body condition) of an agroecosystem sentinel species, the house sparrow (Passer domesticus). Wild-caught adult sparrows were maintained in captivity and exposed (exposed group) or not (control group) for 7 continuous months to tebuconazole through drinking water. The metabolic rates of exposed and control sparrows were then measured at two different temperatures (12 °C and 25 °C), which correspond, respectively, to the thermoregulation and thermoneutrality temperatures of this species. We found that exposed sparrows had lower resting metabolic rates (i.e., measured at thermoneutrality, 25 °C) than controls. However, the thermoregulatory metabolic rates (i.e., measured at 12 °C) did not differ between exposed and control sparrows. Although the body mass and condition were not measured at the beginning of the exposure, sparrows at the time of the metabolic measurements 7 months after the onset of such exposure had a higher body condition than controls, supporting further the idea that tebuconazole affects metabolic functions. Our study demonstrates for the first time that the use of tebuconazole can alter metabolism and could potentially lead to adverse effects in birds. Environ Toxicol Chem 2022;41:2500–2511. © 2022 SETAC
Numerical model for tracing the response of Ultra‐High performance concrete beams exposed to fire
Authors: Banerji Srishti , Kodur Venkatesh 
Published: July 2022

AbstractThis paper presents a numerical procedure for evaluating the thermo‐mechanical response of Ultra‐High Performance Concrete (UHPC) beams exposed to fire. The numerical model is based on a macroscopic finite element formulation and utilizes sectional moment‐curvature relations to trace the response of UHPC beams from the linear elastic stage to collapse under combined effects of fire and structural loading. Fire‐induced spalling, temperature‐dependent properties of concrete and steel reinforcement, and realistic failure criteria are incorporated into the analysis. Specifically, an advanced analysis approach for evaluating spalling is incorporated in the model by considering the stresses arising from the combined effects of thermal gradients, structural loading, and pore pressure generated in the concrete section. Comparisons of the predictions from the model with data from fire resistance experiments show a good correlation, indicating the proposed model can reliably predict the thermo‐mechanical response, including the extent of spalling in UHPC beams subjected to fire exposure. The applicability of the model for undertaking advanced analysis is shown by conducting a case study to illustrate the influence of load level and fire scenario on the fire response of the UHPC beams.
Technological characterization and molecular identification of defined protective starter cultures for fermentation of traditional Rayeb made from camel's milk
Authors: Abozead Rania , Kheadr Ehab , Safwat Nabil , Salam Samir , Dabour Nassra 
Published: July 2022

AbstractCamel milk isolates of lactic acid bacteria were characterized to develop defined starter cultures that could be used for the production of standardized Egyptian Rayeb fermented milk. The isolates have shown a wide diversity of Technological characteristics and antimicrobial activity. Interesting isolates were genetically identified at the species level. Two mixed culture starters composed of Lactiplantibacillus plantarum (FFNL146 and FFNL159) and Lactococcus lactis (FFNL1926 and FFNL2005) along with Leuconostoc pseudomesenteroides FFNL2374 were used in the production of Rayeb from camel milk, cow milk, and their mixture and stored for 14 days under refrigeration. Equally mixed camel and cow milk fermented with both starters had the best results of organoleptic attributes and physicochemical properties compared to samples made of camel milk. This is the first study to present two mixed starter cultures for Rayeb manufacturing. The success of these defined starter cultures will potentially enhance the safety and quality of the Rayeb industry in Egypt.
Half of expectant women in Montenegro show iodine deficiency, indicating that supplementation during pregnancy is necessary
Authors: Đurović Dijana , Đorđević Zorica , Mugoša Boban , Bajić Borko , Nikolić‐Kokić Aleksandra , Miletić Srđan , Spasić Snežana 
Published: July 2022

AbstractObjectiveIn this study, iodine level in pregnant women of Montenegro and their needs for supplementation were investigated.MethodsA urinary iodine concentration (UIC) study of 326 pregnant women between September and December 2017 in three regions of Montenegro was performed. UIC was related to creatinine (UI/Cr ratio).ResultsThe median UIC (133 ± 5 μg/L) was indicative of iodine deficiency, as the WHO recommended UIC is 150–249 μg/L. The UI/Cr ratio (160 ± 6 μg/g creatinine) was just above the WHO/UNICEF/IGN recommendation. Approximately 50% of the surveyed women had a lower UIC than that recommended.ConclusionIodine deficiency is present in pregnant women in Montenegro. Monitoring the UIC during routine analyses in pregnant women in Montenegro is recommended, along with iodine supplementation for individuals that need it.
Enhanced financial fraud detection using cost‐sensitive cascade forest with missing value imputation
Authors: Huang Lukui , Abrahams Alan , Ractham Peter 
Published: July 2022

SummaryFinancial statement fraud is a global problem for investors, audit firms, regulators, and other stakeholders. Fraud detection can be regarded as a binary classification problem with a false negative being more expensive than a false positive. Although existing studies have made great efforts to detect fraud using various data‐mining techniques, the difference in misclassification costs is seldom considered. In this study, we propose a cost‐sensitive cascade forest (CSCF) for fraud detection, which places heavy penalty on false negative prediction and self‐adjusts the depth of a cascade forest according to the classifier’s recall (i.e. the classifier’s sensitivity). As missing values are ubiquitous in fraud research, we also explore the effect of selected missing data treatments on prediction performance, including complete case analysis, three selected classic statistical mechanisms (zero, mean, and modified mean imputation), and two machine learning (K‐nearest neighbor [KNN] and random forest [RF]) approaches. The experimental results show that the proposed CSCF significantly improves the fraud prediction in comparison with one of the latest fraud detection models using the RUSBoost algorithm. Comparing different missing value treatments, even though RUSBoost and CSCF perform well when using complete case analysis, we find that the best performance is achieved when CSCF is used with missing data imputed as zero. Such treatment further improves the performance, and results in an area under curve (AUC) score of 0.82 compared to the highest AUC (0.71) from the baseline model. Supplementary analysis further reveals that the low AUC of complete case analysis for the two examined models persists under different training sizes. Thus, our findings shed light on the potential benefits of missing value imputation for the model’s performance for fraud detection.