bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new hybrid MCDM approach for RPN evaluation for a medical device prototype
Authors: Pintelon Liliane , Di Nardo Mario , Murino Teresa , Pileggi Giuseppe , Vander Poorten Emmanuel 
Published: February 2021

AbstractThe Failure Mode and Effect Analysis (FMEA) is a useful instrument born in the aerospace industry and widely used to improve a process or product's efficiency. Over the years, this instrument has been adopted in increasingly different contexts, such as HealthCare. This paper proposes an approach aimed at improving the defects typical of the classic FMEA in the design phase, that is, in a scenario full of uncertainties and with little information available, using a new hybrid Multiple‐criteria decision‐making (MCDM) method in order to obtain a priority index more performant than Risk Priority Number (RPN). In the proposed method, the three assessment criteria have a different weighting in the index's final computation, differently from the classical RPN. These weights are obtained with a scientific technique, thus avoiding that excessive subjectivity influences the final result. A more efficient priority index is obtained through a new hybrid approach that solves some classical RPN gaps. A case study concerning an endoscope Ear Nose Throat Entropy (ENT) prototype is examined to illustrate the proposed method. FMEA analysis in HealthCare is increasingly used for its flexibility and reliability. This study focuses on using new techniques to eliminate certain defects or exploit some qualities better. The use of a robust and elastic innovative MCDM method to calculate a new priority index and a scientific technique to obtain the weight of the selection are the interesting insights proposed in this paper.
Interval estimation for inverse Gaussian distribution
Authors: Wang Xiaofei , Wang Bing Xing , Pan Xin , Hu Yunkai , Chen Yingpei , Zhou Junxing 
Published: February 2021

AbstractIn this paper, we consider interval estimation for the inverse Gaussian (IG) distribution. Using generalized pivotal quantity method, we derive the generalized confidence intervals (GCIs) for the model parameters and some quantities such as the quantile, the reliability function of the lifetime, the failure rate function, and the mean residual lifetime. We verify that the GCI of the scale parameter is the same as its commonly used exact CI. We also obtain the generalized prediction intervals (GPIs) for future failure times based on the observed failure data set. In addition, we get the GCI for the reliability of the stress–strength model when the stress and strength variables follow the IG distributions with different parameters. We compare the proposed GCIs and GPIs with the Wald CIs and bootstrap‐ CIs by simulation. The simulation results show that the proposed GCIs and GPIs are superior to the Wald CIs and the bootstrap‐pCIs in terms of the coverage probability. Finally, two examples are used to illustrate the proposed procedures.
Ro‐vibrational energy and thermodynamic properties of molecules subjected to Deng–Fan potential through an improved approximation
Authors: Nath Debraj , Roy Amlan K. 
Published: February 2021

AbstractAccurate solution of the Schrödinger equation with Deng–Fan potential is presented by means of Nikiforov–Uvarov method. A modified Pekeris‐type approximation is proposed for the centrifugal term, from a linear combination of the r → 0 and r → re limits. It can potentially offer a series of approximations (depending on an adjustable parameter λ). The existing approximations in the literature can then be recovered in certain special cases. Its efficiency and feasibility is demonstrated by a critical comparison of eigenvalues produced at various λ's for four molecules, namely, H2, LiH, HCl and CO. Analytical expressions are derived for energies, eigenfunctions and the thermodynamic properties such as vibrational mean free energy, vibrational free energy, vibrational entropy and vibrational specific heat. The effect of quantum correction on partition function and thermodynamic properties is discussed by including the correction up to 10th‐order, for H2 and LiH. The effect of λ parameter on these properties is also studied.
On the second maximum Wiener polarity index of chemical trees of a fixed order
Authors: Ali Akbar , Du Zhibin , Zaineb Syeda Sifwa , Alraqad Tariq 
Published: February 2021

AbstractThe Wiener polarity indexWpof a graph is defined as the number of unordered pairs of its vertices at distance 3. The problem of finding trees attaining the maximumWpvalue, among all chemical trees of a fixed ordern, was solved in the paper (Mol.Inf.2019,38, 1800076) forn ≥ 8. Motivated by the usage ofWpin a recent publication (J.Chem.Inf.Model.2020,60, 1224–1234), in this article we extend the work done in the aforementioned paper by giving a further ordering of chemical trees with respect to the maximum value ofWp. More precisely, we characterize the trees having the second maximumWpvalue (which is3n − 16) from the class of all chemical trees of a fixed ordern, forn ≥ 9.
A safety preserving control architecture for cyber‐physical systems
Authors: Gheitasi Kian , Lucia Walter 
Published: February 2021

AbstractIn this article, we propose a networked control architecture to ensure the plant's safety in the presence of cyber‐attacks on the communication channels. In particular, we consider systems subject to both state and input constraints that must be preserved for safety reasons despite any admissible attack scenario. To this end, first, two different detectors are proposed to detect attacks on the setpoint signal as well as on the control inputs and sensor measurements. Then, an emergency controller (EC), local to the plant, is designed to replace the networked controller whenever an attack is detected. Finally, the concept of robust N‐step attack‐safe region is introduced to ensure that the EC is activated, regardless of the detector performance, at least one‐step before the safety constraints are violated. It is formally proved that the plant trajectory is uniformly ultimately bounded in an admissible region regardless of the attacker's actions and duration. Finally, by considering a continuous‐stirred tank reactor system, numerical simulations are presented to show the proposed solution's capabilities.
Distributed hybrid impulsive algorithm with supervisory resetting for nonlinear optimization problems
Authors: Jiang Xia , Zeng Xianlin , Sun Jian , Chen Jie 
Published: February 2021

AbstractA distributed impulsive algorithm is presented for solving large‐scale nonlinear optimization problems, which is based on state‐dependent impulsive dynamical system theory. The optimization problem, whose objective function is a sum of convex and continuously differentiable functions, is solved over a multi‐agent network system. The proposed algorithm takes distributed updates in continuous‐time part and centralized updates in discrete‐time part, which can improve the convergence performance. With stability theory of impulsive dynamical systems, the proposed impulsive algorithm is proved to converge to one optimal solution, and under certain conditions, agents' states are proved to converge at a linear convergence rate. In numerical simulation, compared with conventional distributed continuous‐time algorithm, the performance advantage of the proposed impulsive method is demonstrated.
Ex vivo conditioning of peripheral blood mononuclear cells of diabetic patients promotes vasculogenic wound healing
Authors: Tanaka Rica , Ito-Hirano Rie , Fujimura Satoshi , Arita Kayo , Hagiwara Hiroko , Mita Tomoya , Itoh Masayoshi , Kawaji Hideya , Ogawa Takasuke , Watada Hirotaka , Masuda Haruchika , Asahara Takayuki , Mizuno Hiroshi 
Published: February 2021

Abstract
The quality and quantity of endothelial progenitor cells (EPCs) are impaired in patients with diabetes mellitus patients, leading to reduced tissue repair during autologous EPC therapy. This study aimed to address the limitations of the previously described serum-free Quantity and Quality Control Culture System (QQc) using CD34+ cells by investigating the therapeutic potential of a novel mononuclear cell (MNC)-QQ. MNCs were isolated from 50 mL of peripheral blood of patients with diabetes mellitus and healthy volunteers (n = 13 each) and subjected to QQc for 7 days in serum-free expansion media with VEGF, Flt-3 ligand, TPO, IL-6, and SCF. The vascular regeneration capability of MNC-QQ cells pre- or post-QQc was evaluated with an EPC colony-forming assay, FACS, EPC culture, tube formation assay, and quantitative real time PCR. For in vivo assessment, 1 × 104 pre- and post-MNC-QQc cells from diabetic donors were injected into a murine wound-healing model using Balb/c nude mice. The percentage of wound closure and angio-vasculogenesis was then assessed. This study revealed vasculogenic, anti-inflammatory, and wound-healing effects of MNC-QQ therapy in both in vitro and in vivo models. This system addresses the low efficiency and efficacy of the current naïve MNC therapy for wound-healing in diabetic patients. As this technique requires a simple blood draw, isolation, and peripheral blood MNC suspension culture for only a week, it can be used as a simple and effective outpatient-based vascular and regenerative therapy for patients with diabetes mellitus.
Multipoint Hydrogen Bonding‐Based Molecular Recognition of Amino Acids and Peptide Derivatives in a Porous Metal‐Macrocycle Framework: Residue‐Specificity, Diastereoselectivity, and Conformational Control
Authors: Tashiro Shohei , Nakata Kosuke , Hayashi Ryunosuke , Shionoya Mitsuhiko 
Published: February 2021

AbstractPorous crystals have great potential to exert space‐specific functions such as multipoint molecular recognition. In order to rationally enhance the porous function, it is necessary to precisely control molecular recognition event in the pores. Hydrogen bonding is an effective tool for controlling molecular recognition. However, multiple hydrogen bonds, which are essentially the origin of high complementarity and specificity, remain difficult to innovate in porous crystals in an intelligent way. This paper demonstrates molecular recognition of amino acid and peptide derivatives by multipoint hydrogen bonding in a porous metal‐macrocycle framework revealed by single‐crystal X‐ray diffraction analysis. l‐Serine residues are site‐selectively and residue‐specifically adsorbed on the pore surface via multiple hydrogen bonds. A serine derivative is diastereoselectively recognized on the (P)‐ or (M)‐side of the enantiomeric pore surface. Moreover, the conformation of the peptide is highly regulated, incorporating a poly‐l‐proline type I helix‐like structure into the pore. These findings will bring deep scientific knowledge to the design of new porous crystals and functions.
Preparation of CdSySe1−y‐MoS2 Heterostructures via Cation Exchange of Pre‐Epitaxially Synthesized Cu2−χSySe1−y‐MoS2 for Photocatalytic Hydrogen Evolution
Authors: Chen Junze , Wu Xue‐Jun , Lu Qipeng , Zhao Meiting , Yin Peng‐Fei , Ma Qinglang , Nam Gwang‐Hyeon , Li Bing , Chen Bo , Zhang Hua 
Published: February 2021

AbstractConstruction of 2D transition metal dichalcogenide (TMD)‐based epitaxial heterostructures with different compositions is important for various promising applications, including electronics, photonics, and catalysis. However, the rational design and controlled synthesis of such kind of heterostructures still remain challenge, especially for those consisting of layered TMDs and other non‐layered materials. Here, a facile one‐pot, wet‐chemical method is reported to synthesize Cu2−χSySe1−y‐MoS2 heterostructures in which two types of different epitaxial configurations, i.e., vertical and lateral epitaxies, coexist. The chalcogen ratio (S/Se) in Cu2−χSySe1−y and the loading amount of MoS2 in the heterostructures can be tuned. Impressively, the obtained Cu2−χSySe1−y‐MoS2 heterostructures can be transformed to CdSySe1−y‐MoS2 without morphological change via cation exchange. As a proof‐of‐concept application, the obtained CdSySe1−y‐MoS2 heterostructures with controllable compositions are used as photocatalysts, exhibiting distinctive catalytic activities toward the photocatalytic hydrogen evolution under visible light irradiation. The method paves the way for the synthesis of different TMD‐based lateral epitaxial heterostructures with unique properties for various applications.
Multi‐Elemental Electronic Coupling for Enhanced Hydrogen Generation
Authors: Li Huan , Hu Minghao , Cao Bo , Jing Peng , Liu Baocang , Gao Rui , Zhang Jun , Shi Xiaomeng , Du Yaping 
Published: February 2021

AbstractA robust polyaniline‐assisted strategy is developed to construct a self‐supported electrode constituting a nitrogen, phosphorus, sulfur tri‐doped thin graphitic carbon layer encapsulated sulfur‐doped molybdenum phosphide nanosheet array (NPSCL@S‐MoP NSs/CC) with accessible nanopores, desirable chemical compositions, and stable composite structure for efficient hydrogen evolution reaction (HER). The multiple electronic coupling effects of S‐MoP with N, P, S tri‐dopants afford effective regulation on their electrocatalytic performance by endowing abundant accessible active sites, outstanding charge‐transfer property, and d‐band center downshift with a thermodynamically favorable hydrogen adsorption free energy (ΔGH*) for efficient hydrogen evolution catalysis. As a result, the NPSCL@S‐MoP NSs/CC electrode exhibits overpotentials as low as 65, 114, and 49 mV at a geometric current density of 10 mA cm−2 and small Tafel slopes of 49.5, 69.3, and 53.8 mV dec−1 in 0.5 m H2SO4, 1.0 m PBS, and 1.0 m KOH, respectively, which could maintain 50 h of stable performance, almost outperforming all MoP‐based catalysts reported so far. This study provides a valuable methodology to produce interacted multi‐heteroatomic doped graphitic carbon‐transition metal phosphide electrocatalysts with superior HER performance in a wide pH range.
Unveiling the Nature of Pt Single‐Atom Catalyst during Electrocatalytic Hydrogen Evolution and Oxygen Reduction Reactions
Authors: Li Junjie , Banis Mohammad Norouzi , Ren Zhouhong , Adair Keegan R. , Doyle‐Davis Kieran , Meira Debora Motta , Finfrock Y. Zou , Zhang Lei , Kong Fanpeng , Sham Tsun‐Kong , Li Ruying , Luo Jun , Sun Xueliang 
Published: February 2021

AbstractSingle‐atom catalysts (SACs) have attracted significant attention due to their superior catalytic activity and selectivity. However, the nature of active sites of SACs under realistic reaction conditions is ambiguous. In this work, high loading Pt single atoms on graphitic carbon nitride (g‐C3N4)‐derived N‐doped carbon nanosheets (Pt1/NCNS) is achieved through atomic layer deposition. Operando X‐ray absorption spectroscopy (XAS) is performed on Pt single atoms and nanoparticles (NPs) in both the hydrogen evolution reaction (HER) and oxygen reduction reaction (ORR). The operando results indicate that the total unoccupied density of states of Pt 5d orbitals of Pt1 atoms is higher than that of Pt NPs under HER condition, and that a stable Pt oxide is formed during ORR on Pt1/NCNS, which may suppress the adsorption and activation of O2. This work unveils the nature of Pt single atoms under realistic HER and ORR conditions, providing a deeper understanding for designing advanced SACs.
Recent Advances in Patterning Natural Polymers: From Nanofabrication Techniques to Applications
Authors: Zhu Shuihong , Tang Yonghua , Lin Changxu , Liu Xiang Yang , Lin Youhui 
Published: February 2021

AbstractThe development of a flexible and efficient strategy to precisely fabricate polymer patterns is increasingly significant for many research areas, especially for cell biology, pharmaceutical science, tissue engineering, soft photonics, and bioelectronics. Recent advances of patterning natural polymers using various nanofabrication techniques, including photolithography, electron‐beam lithography, dip‐pen nanolithography, inkjet printing, soft lithography, and nanoimprint lithography are discussed here. Integrating nanofabrication techniques with naturally derived macromolecules provides a feasible route for transforming these polymer materials into versatile and sophisticated devices while maintaining their intrinsic and excellent properties. Furthermore, the corresponding applications of these natural polymer patterns generated by the above techniques are elaborated. In the end, a summary of this promising research field is offered and an outlook for the future is given. It is expected that advances in precise spatial patterns of natural polymers would provide new avenues for various applications, such as tissue engineering, flexible electronics, biomedical diagnosis, and soft photonics.
Event‐driven data alteration detection using block‐chain
Authors: Srivastava Shubhi , Mohit  , Kumar Arun , Jha Sudhanshu Kumar , Dixit Pratibha , Prakash Shiv 
Published: February 2021

AbstractWith the rapid development of Internet and Internet‐based applications, accessing of the file become easy from various locations at the same time around the globe, however, maintaining of data integrity turn into a challenging issue. In order to maintain a data integrity in a large database(s), database file is being kept to secure with the presence of control policies and firewalls, which basically limit the outside users with more strict control policies. Despite these control policies, there still lies a threat to the security of the data through an insider attack. An insider attack refers to someone who is a part of the organization and can have access to the resources (network, system, etc.) with inside knowledge of the system or knows the administrative rights, and thus interferes with the data, now become one of the most critical challenging issues for the organization as such attacks are hard to notice. An insider attacker is more crucial to the organization as they can perform espionage, embezzlement, theft of the intellectual property, disclosing of the research, and development being carried out in the organization, and sabotage. Therefore, to highlight this, an Event‐Driven Data Alteration Detection technique using the tamper resistance property of Block‐chain technology is being presented in this paper. The model has been tested and found that if any unauthorized alteration in the database is being made then it can be detected using the Block‐chain Database API. To make it robust to insider attacks we have implemented and tested the model on a web‐based application. A machine learning based technique will be considered for detection in the future scope of this paper. The results obtained after experiments show the performance of the proposed architecture and the comparison outcome shows that the proposed architecture is better than related models.
Defense against flooding attacks using probabilistic thresholds in the internet of things ecosystem
Authors: Zarei Seyed Meysam , Fotohi Reza 
Published: February 2021

AbstractThe Internet of Things (IoT) ecosystem allows communication between billions of devices worldwide that are collecting data autonomously. The vast amount of data generated by these devices must be controlled totally securely. The centralized solutions are not capable of responding to these concerns due to security challenges problems. Thus, the Average Packet Transmission RREQ (APT‐RREQ) as an effective solution, has been employed to overcome these concerns to allow for entirely secure communication between devices. In this paper, an approach called LSFA‐IoT is proposed that protects the AODV routing protocol as well as the IoT network against flooding. The proposed method is divided into two main phases; the first phase includes a physical layer intrusion and attack detection system used to detect attacks, and the second phase involves detecting incorrect events through APT‐RREQ messages. The simulation results indicated the superiority of the proposed method in terms of False Positive Rate (FPR), False Negative Rate (FPR), Detection Rate (DR), and Packet Delivery Rate (PDR) compared to REATO and IRAD. Also, the simulation results show how the proposed approach can significantly increase the security of each thing and network security.
Engaging Isatins in Multicomponent Reactions (MCRs) – Easy Access to Structural Diversity
Authors: Brandão Pedro , Marques Carolina S. , Carreiro Elisabete P. , Pineiro M. , Burke Anthony J. 
Published: February 2021

AbstractMulticomponent reactions (MCRs) are a valuable tool in diversity‐oriented synthesis. Its application to privileged structures is gaining relevance in the fields of organic and medicinal chemistry. Isatin, due to its unique reactivity, can undergo different MCRs, affording multiple interesting scaffolds, namely oxindole‐derivatives (including spirooxindoles, bis‐oxindoles and 3,3‐disubstituted oxindoles) and even, under certain conditions, ring‐opening reactions occur that leads to other heterocyclic compounds. Over the past few years, new methodologies have been described for the application of this important and easily available starting material in MCRs. In this review, we explore these novelties, displaying them according to the structure of the final products obtained.
Fresh Molecular Concepts to Extend the Lifetimes of Old Antimicrobial Drugs
Authors: Jaber Qais Z. , Fridman Micha 
Published: February 2021

AbstractAntimicrobial drug development generally initiates with target identification and mode of action studies. Often, emergence of resistance and/or undesired side effects that are discovered only after prolonged clinical use, result in discontinuation of clinical use. Since the cost and time required for improvement of existing drugs are considerably lower than those required for the development of novel drugs, academic and pharmaceutical company researchers pursue this direction. In this account we describe selected examples of how chemical probes generated from antimicrobial drugs and chemical and enzymatic modifications of these drugs have been used to modify modes of action, block mechanisms of resistance, or reduce side effects, improving performance. These examples demonstrate how new and comprehensive mechanistic insights can be translated into fresh concepts for development of next‐generation antimicrobial agents.