bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aspectos clínico epidemiológicos de la influenza AH1N1 En un hospital pediatrico de Lima en el contexto de una pandemia junio-agosto 2009
Authors: Mezarina E. Hugo , Lagos C. José , Iturrizaga R. Nélida , Juárez de la C. Sonia 
Published: December 2023

Objetivo: Describir las características clínico-epidemiológicas de la infección por virus Influenza AH1N1 en pacientes hospitalizados en el Hospital de Emergencias Pediátricas Lima – Perú, en el contexto de la reciente pandemia.
Material y métodos: En el presente estudio descriptivo, se evaluó los registros de la vigilancia epidemiológica de 98 pacientes hospitalizados, catalogados inicialmente como sospechosos de Influenza AH1N1, a quienes se les realizó hisopado nasofaríngeo para la prueba confirmatoria RT-PCR tiempo real; identificándose a 57 casos confirmados.
Resultados: El 58.16% de los pacientes sospechosos, fueron confirmados. El grupo más afectado fue el sexo masculino con un 57.89%, el promedio de edad fue de 4.05 años, más del 60% procedía de los distritos de San Juan de Lurigancho, El Agustino, La Victoria y Lima Cercado, Los Olivos y Ate. El 70,18% tuvo antecedente de contacto previo. La Tos (89.5%), la fiebre (87.7%), la rinorrea (86.0%) y la congestión faríngea (77.2%) fueron los signos más frecuentemente reportados, siendo las adenopatías, erupción dérmica, otalgia y fotofobia los menos reportados. El tiempo de enfermedad promedio fue de 3.53 días, el criterio de gravedad que se presentó con mayor frecuencia fue la dificultad respiratoria (77.19%).
Finite Element Simulation of a Passive Damper System Using Contact Algorithm
Authors: R. Vinayaravi  , A. K. Asraff  , D. Kumaresan  
Published: December 2023

Impact dampers are passive devices wherein a moving mass impacts with the primary structure. The vibrations caused due to these impacts are random in nature. During these impacts, exchange of momentum occurs resulting in dissipation of energy. Here, theoretical model of an impact damper system is modelled as MDOF system using Hertzian contact algorithm. Numerical simulation of the above problem was created using ANSYS Finite Element Analysis (FEA) package. Augmented Lagrangian method with Newmark’s time integration scheme is used for simulations. The problem being studied is highly nonlinear in nature with contacts being established during impact. Normal contact force generated due to impact of ball are used to get the transient response of the system.
Detailed study was carried out with various mass ratio at low frequency and high amplitudes of excitation. Not much studies have been carried out earlier using MDOF systems with contact algorithm. Above modelling and simulation study was helpful to visualise and accurately capture the transient movement of the impact mass within the confined space.
Numerical Study of Impact of Grain Profile on the Internal Ballistics of Solid Rocket Motor
Authors: Gupta Ankit , Nair Praveen , Ashish A. S. , Abraham Biju Cherian 
Published: December 2023

Solid Rocket Motors (SRM) are engines that use solid propellants for generating thrust in a rocket. SRM plays a crucial role in rocketry. SRM is in widespread use nowadays not only for space purposes but also for the development of missiles and sounding rockets. SRM uses aluminized propellants to improve the efficiency of the rocket motor due to its high heat of combustion and density [1]. On combustion, aluminium gets converted to aluminium oxide (alumina - Al2O3), and the condensed-phase droplets of alumina act on the submerged and nozzle region’s insulation during SRM manoeuvring flight which can cause abnormal ablation of the thermal protection system.
This work presents the numerical simulation of the flow field and particle dynamics in SRMs using the Computational Fluid Dynamics (CFD) tool. Simulations were carried out for a typical SRM by studying the effect of various geometrical parameters on motor performance. Important parameters addressed in this paper include (1) the effect of the ratio of port area (Ap) to throat area (At) and (2) the length of the grain on flow velocity and related particle impingements. Results show that for this study as Ap/At increases, velocity inside the submerged region decreases which in turn points to the fact that the particle impingements in this region decrease. However, this depends on various parameters like particle loading in the propellant, Ap/At, the geometry of the propellant, length of the motor, propellant formulation, geometry of the submerged region and so on. Hence, we cannot generalize this conclusion and one has to perform a detailed study.
A Regressional Study on the Impact of Organizational Security Culture and Transformational Leadership on Social Engineering Awareness among Bank Employees: The Interplay of Security Education and Behavioral Change
Authors: Olaniyi Oluwaseun Oladeji , Asonze Christopher Uzoma , Ajayi Samson Abidemi , Olabanji Samuel Oladiipo , Adigwe Chinasa Susan 
Published: December 2023

Organizations across various sectors are increasingly vulnerable to cybersecurity breaches in an era characterized by unprecedented technological advancements and a rapidly evolving threat landscape. Among the myriad methods employed by malicious actors, social engineering stands out as a particularly insidious and effective means of infiltrating secure systems and obtaining sensitive information. To effectively address these issues, organizations must establish and sustain a principled security process; this process goes beyond installing the latest security technologies. It encompasses the concept of "organizational security culture. This paper investigates the impact of organizational security culture and transformational leadership on bank employees' social engineering awareness, focusing on security education and behavioral change. Social engineering is the unauthorized infiltration of the end user's computer system and network through malware techniques such as tailgating, phishing, vishing, pretexting, and baiting to gain access to companies and individual confidential data; thus, this study aims to analyze the effect of organizational security culture and transformational leadership on social engineering awareness among bank employees while assessing security education's role in driving behavioral change. This research used the Likert scale model to collect primary data through survey questionnaires from 450 bank employees. The data collected was analyzed using linear regression analysis to test the study’s hypothesis. This study recommends that banking institutions should adopt a good organizational security culture and expose their staff to effective security education, as this will cause a change in employees' security behavior and more research should be conducted regarding security culture, security education, and awareness programs within banking institutions due to bank operations' ever-dynamic nature and ensuring preparedness for prevailing cyber threats.
Single isocenter HyperArc treatment of multiple intracranial metastases: Targeting accuracy
Authors: Li Fang , Mail Noor , Stefania diMayorca Maria , McCaw Travis J. , Ozhasoglu Cihat , Lalonde Ronald , Chang Jina , Huq Mohammed Saiful 
Published: December 2023

AbstractPurpose/objectives(A) To examine the alignment accuracy of CBCT guidance for brain metastases with off centered isocenters, (B) to test dose delivery and targeting accuracy for single isocenter treatments with multiple brain metastases. We report the results of the end‐to‐end test for Truebeam stereotactic radiosurgery (SRS).Materials/methodsAn anthropomorphic CT head phantom was drilled with five MOSFET inserts and two PTW Pinpoint chamber inserts. The phantom was simulated, planned, and delivered. For the purpose of comparing the accuracy of alignment, CBCTs were acquired with the isocenter centered and offset superiorly 8 cm, inferiorly 8 cm, anteriorly 7 cm, posteriorly 7 cm, and right 5 cm. There were six degrees of freedom corrections applied to the plans, as well as intentional rotational and translational errors for dose comparisons. Dose accuracy checks were performed with MOSFET and PTW Pinpoint chamber, and targeting accuracy was assessed with GafChromic films.Result(A) Compared to centered CBCT, off‐centered CBCT scan showed some alignment errors, with a maximum difference of 0.6‐degree pitch and 0.9 mm translation when the phantom was placed 8 cm inferior off center. (B) For the single isocenter plan, measured doses of the five MOSFET were 95%–100% of the planned dose, whereas the multiple isocenter plans were 96%–100%. With intentional setup errors of 1‐degree pitch, doses were 97.1%–100.4% compared to the perfect setup. The same was found for the two pinpoint chamber readings with 1‐degree rotation and 1 mm translation. (C) Targeting accuracy for targets at the isocenter is 0.67 mm, within the machine specification of 0.75 mm. Targeting accuracy for isocenters 6–12 cm away from the target is in the range 0.67–1.18 mm.Conclusion(A) Single isocenter HyperArc treatments for multiple brain metastases are feasible and targeting accuracy is clinically acceptable. (B) The vertex in a cranial scan is very important for proper alignment.
An machine learning model to predict quality of life subtypes of disabled stroke survivors
Authors: Xu Qi , Lei Lei , Lin Zhenguo , Zhong Weimin , Wu Xinhong , Zheng Dingzhao , Li Taibiao , Huang Jiyi , Yan Tiebin 
Published: December 2023

AbstractObjectiveStroke causes serious physical disability with impaired quality of life (QoL) and heavy burden on health. The goal of this study is to explore the impaired QoL typologies and their predicting factors in physically disabled stroke survivors with machine learning approach.MethodsNon‐negative matrix factorization (NMF) was applied to clustering 308 physically disabled stroke survivors in rural China based on their responses on the short form 36 (SF‐36) assessment of quality of life. Principal component analysis (PCA) was conducted to differentiate the subtypes, and the Boruta algorithm was used to identify the variables relevant to the categorization of two subtypes. A gradient boosting machine(GBM) and local interpretable model‐agnostic explanation (LIME) algorithms were used to apply to interpret the variables that drove subtype predictions.ResultsTwo distinct subtypes emerged, characterized by short form 36 (SF‐36) domains. The feature difference between worsen QoL subtype and better QoL subtype was as follows: role‐emotion (RE), body pain (BP) and general health (GH), but not physical function (PF); the most relevant predictors of worsen QoL subtypes were help from others, followed by opportunities for community activity and rehabilitation needs, rather than disability severity or duration since stroke.InterpretationThe results suggest that the rehabilitation programs should be tailored toward their QoL clustering feature; body pain and emotional‐behavioral problems are more crucial than motor deficit; stroke survivors with worsen QoL subtype are most in need of social support, return to community, and rehabilitation.
Robust high‐gain observer‐based sliding mode controller for pitch and yaw position control of an AUV
Authors: Desai Ravishankar P. , Manjarekar Narayan S. 
Published: December 2023

AbstractThis article addresses a trajectory tracking control problem concerning an autonomous underwater vehicle's pitch and yaw channel dynamics in the presence of model uncertainties, underwater disturbances, and input saturation. Three different observers are introduced to estimate unknown state variables: a Luenberger‐type cubic observer, a sliding mode observer, and a high‐gain observer (HGO). Initially, a backstepping controller is employed to tackle the tracking problem, extending it to incorporate backstepping sliding mode control (SMC). The mentioned observers are utilized in both aspects of the controller design. Our proposed control law assesses trajectory tracking performance by introducing virtual control inputs, with the sliding surface designed to guide the current state variables toward approximating the virtual state variables. By combining backstepping and SMC, ensure that the state variables of the closed‐loop system converge to the desired state using the HGO. A rigorous analysis is incorporated to validate the robust performance of our proposed control law under conditions of model uncertainties and underwater disturbances. Furthermore, the control law is extended for anti‐windup compensation, mitigating adverse effects on stern and rudder plane saturation levels. Lyapunov stability theory is adopted to establish the stability of the closed‐loop system. Our simulation results convincingly demonstrate the effectiveness of the HGO‐based backstepping SMC law compared to alternative control approaches.
Selective Growth of Type‐II Weyl‐Semimetal and Van der Waals Stacking for Sensitive Terahertz Photodetection
Authors: He Yuan , Yang Liu , Hu Zhen , Zhang Libo , Pan Xiaokai , Wei Yingdong , Guo Shuguang , Lv Xuyang , Jiang Mengjie , Han Li , Wang Dong , Lan Shiqi , Sun Xin , Chen Xiaoshuang , Zhang Kai , Wang Lin 
Published: December 2023

AbstractThe emergence of novel topological semimetal materials, accompanied by exotic non‐equilibrium properties, not only provides a fertile playground for a fundamental level of interest but also opens exciting opportunities for inventing new applications by making use of different light‐induced effects such as nonlinear optics, optoelectronics, especially for the highly pursued terahertz (THz) technology due to the gapless electronic structures. Exploring type‐II Weyl semimetal endowed with the richness of quantum wavefunction and peculiar band structure, underlie strong nonlinear coupling with THz waves. Here, the selective growth of type‐II Weyl semimetal NbIrTe4 by means of a self‐flux approach is reported, which hosts strongly tilted Weyl cones and exotic Fermi arcs. The oscillating THz field induced by the antenna is engineered in terms of planar metal‐topological semimetal‐metal structure, along with van der Waals stacking, which allows for self‐powered photodetection at room temperature. The results elucidate the superior performance of NbIrTe4‐graphene heterostructure‐based photodetectors with responsivity up to 264.6 V W−1 at 0.30 THz, fast response of 1 µs as well as low noise equivalent power ˂0.28 nW Hz−0.5 is achieved, already exhibiting high‐quality imaging at THz frequency. The results promise superb impacts in exploring topological Weyl semimetals for efficient low‐energy photon harvesting.
Enhanced Intermolecular Electron Transfer in Fluorinated Metal–Organic Framework Photocatalysts for Efficient CO2 Reduction
Authors: Xu Wenkai , Zhang Gui‐Rong , Wang Jiansong , Yu Hui , Zhang Weiwei , Shen Liu‐Liu , Mei Donghai 
Published: December 2023

AbstractEfficient electron transfer from photosensitizer to catalytic sites is crucial for effective artificial photosynthesis, yet it remains a significant challenge. Herein, it is reported that simple fluorination of the organic linkers in the MIL‐101(Fe) photocatalyst results in a remarkable threefold increase in the photocatalytic CO2‐to‐CO conversion rate (688 µmol g−1 h−1) compared to the pristine counterpart (230 µmol g−1 h−1). It is unveiled that, instead of directly modifying the electron structure of MIL‐101(Fe), the fluorinated linkers enhance the interaction between the discrete photocatalyst and photosensitizer ([Ru(bpy)3]2+, bpy = 2,2'‐bipyridine) via hydrogen bonding, thereby facilitating their intermolecular electron transfer. Most importantly, it is also demonstrated that this performance boosting strategy can be applied to other Fe‐based metal–organic frameworks (MOFs) photocatalysts such as MIL‐53(Fe) and MIL‐88(Fe). The present work not only underscores the fluorination of organic linkers as a generic promising approach to enhance the photocatalytic performance of MOF‐based catalysts, but also holds significant implications for photosynthesis and catalytic processes reliant on intermolecular electron transfer as an important step.
Biomimetic Hydrogel Containing Copper Sulfide Nanoparticles and Deferoxamine for Photothermal Therapy of Infected Diabetic Wounds
Authors: Shen Haijun , Zhang Chun , Meng Ye , Qiao Yi , Ma Yane , Chen Jialing , Wang Xiaona , Pan Lei 
Published: December 2023

AbstractInducing cell migration from the edges to the center of a wound, promoting angiogenesis, and controlling bacterial infection are very important for diabetic wound healing. Incorporating growth factors and antibiotics into hydrogels for wound dressing is considered a potential strategy to meet these requirements. However, some present drawbacks greatly slow down their development toward application, such as the short half‐life and high price of growth factors, low antibiotic efficiency against drug‐resistant bacteria, insufficient ability of hydrogels to promote cell migration, etc. Deferoxamine (DFO) can upregulate the expression of HIF‐1α, thus stimulating the secretion of angiogenesis‐related endogenous growth factors. Copper sulfide (CuS) nanoparticles possess excellent antibacterial performance combined with photothermal therapy (PTT). Herein, DFO and CuS nanoparticles are incorporated into a biomimetic hydrogel, which mimics the structure and function of the extracellular matrix (ECM), abbreviated as DFO/CuS‐ECMgel. This biomimetic hydrogel is expected to be able to promote cell adhesion and migration, be degraded by cell‐secreted matrix metalloproteinases (MMPs), and then release DFO and CuS nanoparticles at the wound site to exert their therapeutic effects. As a result, the three crucial requirements for diabetic wound healing, “beneficial for cell adhesion and migration, promoting angiogenesis, effectively killing drug‐resistant bacteria,” can be achieved simultaneously.
Modeling Biodegradable Free Chlorine Sensor Performance Using Artificial Neural Networks
Authors: Siddiqui Junaid , Deen M. Jamal 
Published: December 2023

AbstractElectrochemical sensors are used to measure target analytes in water, meat, fruits, or vegetables, to ensure their safety, security, and integrity for human use. In this paper, a solution‐based fabrication process is presented for a biodegradable electrochemical free chlorine sensor using asparagine that is functionalized onto graphene oxide (GO). An ink solution of the GO functionalized with asparagine is synthesized, and then deposited onto a screen‐printed carbon electrode (SPCE) using a spin coater. The sensor shows high a sensitivity of 0.30 µA ppm−1over a linear range of 0–8 ppm with a hysteresis‐limited resolution of 0.2 ppm after achieving a steady state at 50 s. From the development and testing of the free chlorine sensor, over 9000 datapoints are collected and used for training an artificial neural network (ANN) model to quantify and characterize the factors affecting the free chlorine sensor's performance, and model its degradation characteristics. The model reports a low mean absolute error (MAE) of 0.1603 and a high model accuracy with a Pearson correlation coefficient (PCC) of 0.9950, demonstrating that these degradation characteristics can be modeled and be used to compensate the degraded performance characteristics of the free chlorine sensors.
Paper‐Based Lead Sulfide Quantum Dot Heterojunction Photodetectors
Authors: Zhang Cong , Yin Xingtian , Qian Guojiang , Chen Gaocheng , Iqbal Shoaib , Que Wenxiu 
Published: December 2023

AbstractPaper‐based photodetectors have emerged as reliable candidates for wearable electronics due to their low‐cost, degradability and excellent bending properties. However, the application of quantum dots (QDs) to paper‐based devices remains a challenge due to the low carrier mobility. In this work, lead sulfide (PbS) QDs are successfully applied to paper‐based devices by constructing the amorphous indium gallium zinc oxide (a‐IGZO)/PbS QDs‐EDT heterojunction to enhance the photoconductive gain of the QDs film. The effect of different paper substrates are investigated on device performance and demonstrate that the heterojunction is not suitable for the fiber‐like paper substrate. Heterojunction devices based on Senyan paper and glass paper exhibit stable detection performance with detectivity of 1.71 × 1010 and 3.19 × 1011 Jones, respectively. Benefit from the unique micro‐morphology, the Senyan paper‐based device exhibits excellent bending resistance and remained stable after 1000 bends.
Wrinkled Graphene Structure and Localized Surface Plasmon Resonance Induced Stretchable White Random Lasers Based on GLN‐functionalized 2D WS2 Quantum Dots
Authors: Chien Yu‐Hsuan , Lu Guan‐Zhang , Li Sin‐En , Chen Yu‐Ting , Tsao Yu‐Chuan , Chao Yu‐Chieh , Shen Ji‐Lin , Chen Yang‐Fang 
Published: December 2023

AbstractThis study presents investigations into the fabrication, characterization, and performance analysis of stretchable white random lasers based on 2D glutamine(GLN)‐functionalized WS2 quantum dots (QDs) enhanced by the integration of Au nanoparticles (NPs) and a wrinkled graphene structure. Wrinkled graphene holds the potential for achieving transient population inversion through electron collisions. Incorporating Au NPs introduces localized surface plasmon resonance (LSPR), which enhances the light‐matter interaction, resulting in reduced lasing thresholds. The GLN‐functionalized WS2 QDs exhibit strong photoluminescence emission, and their integration with a wrinkled graphene structure and Au NPs creates a synergistic effect that enhances the emission efficiency and enables the realization of white random lasing. The extensive characterization and analysis of the emission spectra under different deformation ratios provide valuable insights into the tunability and reliability of these devices, as well as the importance of light trapping due to the wrinkled graphene structure. The findings of this study underscore the significant potential of LSPR and wrinkled graphene structure induced stretchable and white random lasers based on 2D GLN‐functionalized WS2 QDs. These lasers may have a promising application in the field of flexible and wearable photonics, which is a critical step towards the development of next‐generation optoelectronic devices with improved performance.
Thermally Reversible Luminescence in Ferroelastic Phase Transition Materials
Authors: Zhou Qing‐Jie , He Lei , Xu Ke , Han Xiang‐Bin , Yin Ti‐Jian , Zhang Wen , Ye Qiong 
Published: December 2023

AbstractThe thermally reversible luminescent materials with information encryption are important and widely used in the information age. However, it is challenging to obtain such materials. In this work, a 0D In‐based hybrid compound [(CH3)3NCH2CHCH2]2InCl5 ((TAMAC)2InCl5) is synthesized and undergoes a high‐temperature ferroelastic phase transition with an Aizu notation of mmF2/m at 333 K. In the room temperature phase (RTP), it shows a weak blue glow with a photoluminescent quantum yield (PLQY) of 0.32% under the UV lamp at 365 nm. By using a metal ion doping strategy to improve the photophysical properties, a series of compounds is obtained: (TAMAC)2In1‐xCl5:xSb3+ (x = 0.1%,0.5%,1%, and 1.5%, x represents the actual amount) with the same ferroelastic phase transition as that found in (TAMAC)2InCl5. When x = 0.5%, the PLQY reaches 50.66% with the luminous color change from blue to orange. Interestingly, it is found that the orange luminescence of the doped materials can rapidly and reversibly quench and recover between heating and cooling cycles, where the thermally induced phase transition results in this thermally reversible luminescence phenomenon. This discovery reveals the mechanism of luminescence quenching and phase transition, and provides a new pathway for the construction of new thermal‐sensitive luminescent materials with information encryption.