bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genomic characteristics of clinical carbapenem-resistant Escherichia coli isolates in a tertiary hospital, 2013–2021
Authors: xie hui , han mei , li jia , liu chang , zheng jie , zhou hui , li chuchu , shen han , cao xiaoli 
Published: July 2023

Abstract
Background: Genomic characterization of carbapenem-resistant Escherichia coli (CREC) isolates is necessary to understand its transmission and implement infection control measures, given its potential threat to public health.
Method：A total of 100 CREC isolates collected from 2013–2021 at a Nanjing tertiary hospital were analyzed using whole-genome sequencing (WGS). The distribution of resistant determinants (RTs), virulence factors (VFs), multi-locus sequence type (MLST), and FimH types was determined. Furthermore, a phylogenetic tree was constructed to investigate the genetic relationships.
Result:All CREC strains (n=100) carried at least one carbapenem hydrolyzing ß-lactamase (CHßL)-encoding gene, with blaNDM (n=83, 83.0%) being the most common. Multiple RTs were detected with blaCTX (n=83, 83.0%) and blaTEM (n=78, 78.0%) being the most dominant ones. MLST identified 37 distinct STs, with ST167 (n=18, 18.0%) and ST410 (n=13, 13.0%) being the most predominant clones. Multiple plasmid replicons were found. The strains displayed 64 different virulence factors, with terC (n=98, 98.0%) and traT (n=76, 76.0%) being the most frequent. Genetic diversity was observed between the 100 CREC isolates, with clonal dissemination of ST167, ST361, ST2179, ST410, and ST131 being observed.
Conclusion: The prevalence of blaNDM-5, a major blaCHßLs, is concerning due to its distribution of various co-carried resistance genes and their potential to spread through multiple plasmid replicons. The isolates exhibit genetic diversity based on STs, Fim typing, serotyping, and phylogenetic tree analysis. ST167, ST361, ST2179, ST410, and ST131 are linked to clonal dissemination, highlighting the need for effective infection control measures to prevent their spread.
Predicting the impact of climate change on the area of wetlands using remote sensing
Authors: Heidarzadeh Nima , Eghbal Mahdiyeh , Esmaeili Negar , Panaghi Kaveh 
Published: July 2023

Abstract
Climate change has been the main environmental challenge in recent years. In this research, the impact of climate change on the Arjan Wetland, Iran, has been investigated. The global climate models of canESM2 and hadGEM2 were used to predict the air temperature and precipitation for 2025-2066 in scenarios of RCP 2.6, 4.5, and 8.5. Temperature and precipitation data were downscaled using SDSM and LARS-WG software, respectively. Then, the wetland area was measured by processing the Landsat satellite images using the MNDWI algorithm. Forecast data were applied to estimate the wetland area for 2025-2066 and the scPDSI drought index. The results indicate that the estimated areas of the future period will slightly decrease; as a result, 90% of the areas in the years 2045-2066 are less than 800 hectares, and more than1100 hectares have not been dried in these years. The reduction of the area compared to the observation period is due to climate change and it shows the Arjan wetland is going towards drought. In 2039-2036, 2042, 2052, 2056-2058, and 2062, severe droughts will occur in wetlands under three scenarios with an area of less than 200 ha. Furthermore, the wetland will experience severe wet years in 2025, 2044, and 2045.
Charge qubits in the USC regime for quantum state transfer
Authors: Cárdenas-López Francisco , Yu Jing ,   Christian Andersen3, Solano Enrique , Parra-Rodriguez Adrián 
Published: July 2023

Abstract

We study the feasibility of reaching the ultrastrong (USC) and deep-strong coupling (DSC) regimes of light-matter interaction, in particular at resonance condition, with a superconducting charge qubit, also known as Cooper-Pair box (CPB). We numerically show that by shunting the charge qubit with a high-impedance LC-circuit, one can maximally reach both USC and DSC regimes exceeding the classical upper bound |g| ≤ √ωqωr/2 between two harmonic systems with frequencies ωq and ωr. As an application, we propose a hybrid system consisting of two CPBs ultrastrongly coupled to an LC-oscillator as a mediator device that catalyzes a quantum state transfer protocol between a pair of transmon qubits, with all the parties subjected to local thermal noise. We demonstrate that the QST protocol maximizes its efficiency when the mediator operates in the USC regime, exhibiting comparable times with proposals relying on highly coherent and controllable mediators requiring state-preparation or post-selection. This work opens the door for studying light-matter interactions beyond the quantum Rabi model at extreme coupling strengths, providing a new building block for applications within quantum computation and quantum information processing.
The Role of Interface Geometry and Appendages on the Mesoscale Mechanics of the Skin
Authors: Moreno-Flores Omar , Rausch Manuel K. , Tepole Adrian B. 
Published: July 2023

Abstract
The skin is the largest organ in the human body and serves various functions, including mechanical protection and mechanosensation. Yet, even though skin's biomechanics are attributed to two main layers -epidermis and dermis- computational models have often treated this tissue as a thin homogeneous material or, when considering multiple layers, have ignored the most prominent heterogeneities of skin seen at the mesoscale. Here we create finite element models of representative volume elements (RVEs) of skin, including the three-dimensional variation of the interface between the epidermis and dermis as well as considering the presence of hair follicles. The sinusoidal interface, which approximates the anatomical features known as Rete ridges, does not affect the homogenized mechanical response of the RVE but contributes to stress concentration, particularly at the valleys of the Rete ridges. The stress profile is three-dimensional due to the skin’s anisotropy, leading to high-stress bands connecting the valleys of the Rete ridges through one type of saddle point. The peaks of the Rete ridges and the other class of saddle points of the sinusoidal surface form a second set of low-stress bands under equi-biaxial loading. Another prominent feature of the heterogeneous stress pattern is a switch in the stress jump across the interface, which becomes lower with respect to the flat interface at increasing deformations. These features are seen in both tension and shear loading. The RVE with the hair follicle showed strains concentrating at the epidermis adjacent to the hair follicle, the epithelial tissue surrounding the hair right below the epidermis, and the bulb or base region of the hair follicle. The regions of strain concentration near the hair follicle in equi-biaxial and shear loading align with the presence of distinct mechanoreceptors in the skin, except for the bulb or base region. This study highlights the importance of skin heterogeneities, particularly its potential mechanophysiological role in the sense of touch and the prevention of skin delamination.
Using Geographic Rescue Time Contours, Point-of-care Strategies, and Spatial Care Paths to Prepare Island Communities for Global Warming, Rising Oceans, and Weather Disasters
Authors: Kost Gerald J. , Füzéry Anna K , Caratao Louie Kim R. , Tinsay Samantha , Zadran Amanullah , Ybañez Adrian P. 
Published: July 2023

Abstract
Objectives To perform geographic contour analysis of sea and land ambulance rescue times in an archipelago subject to super typhoons; to design point-of-care testing strategies for medical emergencies and weather disasters made more intense by global warming and rising oceans; and to assess needs for prehospital testing on spatial care paths that accelerate decision making, increase efficiency, improve outcomes, and enhance standards of care in island nations.Methods We performed needs assessment, inspected healthcare facilities, and collected ambulance rescue times from professionals in the Bantayan Archipelago, Philippines. We mapped sea/land ambulance rescue routes and time contours. To reveal gaps, we statistically compared the fastest and slowest patient rescue times from islands/islets and barangays to the District Hospital on Bantayan Island. We developed spatial care paths (the fastest routes to care) for acute myocardial infarction, community care, and infectious diseases. We generated a compendium of prehospital diagnostic testing and integrated outcomes evidence, diagnostic needs, and public health goals to recommend point-of-care strategies that build geographic health resilience.Results We observed limited access to COVID-19 assays, absence of blood gas/pH testing for critical care support, and spatial gaps in land and airborne rescues that worsened during inclement weather and sea swells. Mean paired differences (slowest-fastest) in ambulance rescue times to the District Hospital for both islands and barangays were significant (P < 0.0001). Spatial care path analysis showed where POC cardiac troponin testing should be implemented for expedited care of acute myocardial infarction. Geospatial strengths comprised distributed primary care that can be facilitated by point-of-care testing, logical interisland transfers for which decision making and triage could be accelerated with onboard diagnostics, and healthcare networks amenable to medical advances in prehospital testing that accelerate treatment.Conclusions Point-of-care testing should be positioned upstream close to homes and island populations that have prolonged rescue time contours. Geospatially optimized point-of-need diagnostics and distributed prehospital testing have high potential to improve outcomes. These improvements will potentially decrease disparities in mortality among archipelago versus urban dwellers, help improve island public health, and enhance resilience for increasingly adverse and frequent climate change weather disasters that impact vulnerable coastal areas. [350 words]
Amino Acid Distribution in Blood Following High-Intensity Interval Exercise: A Preliminary Study
Authors: Borges Nattai Ricardo , Doering Thomas Michael , Murphy Grace , Macdonald Margaret , Dunstan Hugh 
Published: July 2023

Abstract
This study investigated the effect of high-intensity interval exercise on total and individual amino acid concentrations in red blood cells (RBC) and plasma. Seven males (30.7 ± 13.3 year) provided venous blood samples at rest, immediately, 15 min and 30 min following an 8 min high-intensity exercise bout. The high-intensity exercise was 16x15s cycle efforts at 40% body mass (N) and 90 rpm, interspersed with 15s passive recovery. Total and individual amino acid concentrations of RBC and plasma and blood cell parameters were analysed. No significant differences for total amino acid concentrations RBC and plasma were found, however an inverse trend response was noted. Individual amino acid analyses showed significant interaction effects for alanine and α-aminoadipic acid (P < 0.05), with plasma alanine significantly increased from baseline across the recovery period (P < 0.001). Group effects show greater concentrations of glycine, serine, asparagine, aspartic acid, glutamic acid, α-aminoadipic acid and ornithine in RBC, while greater concentrations of alanine, α-aminobutyric acid, valine, leucine, isoleucine, threonine, proline, phenylalanine, glutamine, tryptophan and cystine were found in plasma (P < 0.05). Comparable levels of histidine, lysine and tyrosine were observed between blood fractions. High variation for baseline RBC amino acids which decreased following exercise was observed. Haemoglobin, pack cell volume and white blood cell count significantly increased immediately following exercise (P < 0.05) but returned to baseline after 15 min recovery. The RBC amino acid characteristics following high-intensity exercise support the notion of individualised transportation roles for RBC and plasma may exist.
Kernel Adversarial Learning for Real-world Image Super-resolution
Authors: Wang Hu , Ma Congbo , Zhang Jianpeng , Zhang Wei Emma , Carneiro Gustavo 
Published: July 2023

Abstract
Current deep image super-resolution (SR) approaches aim to restore high-resolution images from down-sampled images or by assuming degradation from simple Gaussian kernels and additive noises. However, these techniques only assume crude approximations of the real-world image degradation process, which should involve complex kernels and noise patterns that are difficult to model using simple assumptions. In this paper, we propose a more realistic process to synthesise low-resolution images for real-world image SR by introducing a new Kernel Adversarial Learning Super-resolution (KASR) framework. In the proposed framework, degradation kernels and noises are adaptively modelled rather than explicitly specified. Moreover, we also propose a high-frequency selective objective and an iterative supervision process to further boost the model SR reconstruction accuracy. Extensive experiments validate the effectiveness of the proposed framework on real-world datasets.
Electrochemical Synthesis of 5-(1H-indol-3-yl) N-Substituted-1,3,4-oxadiazole- 2-Amines: A Mild and Green Approach
Authors: Patel Tarun M , Patel Khushbu G. , Modhh Parasar 
Published: July 2023

Abstract
The electrochemical method for the synthesis of 5-(1H-indol-3-yl) N-substituted 1,3,4-oxadiazole-2-amines is a novel and efficient approach that offers several advantages over traditional synthetic methods. This method utilizes aliphatic and aromatic isothiocyanates as starting materials and employs electrochemical techniques to facilitate the reaction. The process begins with the selection of an appropriate electrochemical setup, typically involving a two-electrode system consisting of a working electrode and a counter electrode. The working electrode is made of a conductive material such as carbon. The reaction vessel contains a suitable electrolyte, which can be an organic solvent or an ionic liquid, depending on the specific requirements of the reaction. The reaction proceeds by applying a potential across the electrodes, creating an electric field that promotes the desired electrochemical transformations. The indole substrate and the isothiocyanate reagent are introduced into the reaction vessel, and upon the application of the appropriate potential, they undergo electrochemical oxidation and subsequent nucleophilic substitution to form the desired 1,3,4-oxadiazole-2-amines. One of the key advantages of this electrochemical method is its high functional group tolerance. The reaction can accommodate a wide range of functional groups present on both the indole substrate and the isothiocyanate reagents. This allows for the synthesis of diverse compounds with different substituents, providing access to a large substrate scope. Another notable advantage of this method is its good yield of the desired products. The electrochemical conditions can be optimized to ensure high conversion and selectivity, resulting in good overall yields of the 5-(1H-indol-3-yl) N-substituted 1,3,4-oxadiazole-2-amines. The reaction conditions can be fine-tuned to achieve the desired level of selectivity and efficiency. Furthermore, the facile nature of the electrochemical method makes it a convenient and sustainable alternative to traditional synthetic methods. Additionally, the use of electricity as an energy source can be more environmentally friendly compared to traditional heating methods.
LPM-Net: A Data-Driven Resource-Efficient Predictive Motion Planner for Mobile Robots
Authors: Amirhosseini Fakhreddin , Nilforoushan Zahra 
Published: July 2023

Abstract

A data-driven predictive motion planner for mobile robots, referred to as LPM-Net, has been proposed in this paper. Conventional predictive motion planners are computationally expensive, often resulting in insufficient throughput on mobile robot hardware. LPM-Net is an imitation learning-assisted local predictive non-holonomic motion planner that is capable of learning from conventional motion planners regarded as paradigm models and replicating their behavior while satisfying the same kinodynamic constraints. In addition, LPM-Net is compatible with GPU and TPU hardware, allowing for faster and more efficient processing. LPM-Net uses convolutional and recurrent long short-term memory (LSTM) deep neural networks to predict steering commands. This has improved computational efficiency which allows autonomous vehicles to be equipped with more cost-effective computers. In the present study, LPM-Net was tuned to mimic the behavior of a model predictive controller (MPC) paradigm model. Measurements in this study demonstrate that the proposed mimic planner achieves acceptable performance while consuming approximately half the processing power of the predictive planner.
super twisted products
Authors: Wu Tong , Wang Yong 
Published: July 2023

Abstract
In this paper, we define the W2-curvature tensor on super Riemannian manifolds. And we compute the curvature tensor, the Ricci tensor and the W2-curvature tensor on super twisted product spaces. Furthermore,we investigate the W2-curvature flat super twisted product manifolds. And, we get a result that a mixedRicci-flat super twisted product semi-Riemannian manifold can be expressed as a super warped productsemi-Riemannian manifold.
Green synthesis of TiO2 nanoparticles using aqueous extract of the bark of Ficus religiosa and investigation of their role in antibacterial activity
Authors: Yadav Sujit , Prakash Aakriti , Tiwari Punit , Saxena Preeti Suman , Srivast Anchal 
Published: July 2023

Abstract

In this study, the titanium dioxide was synthesized from the aqueous bark extract of Ficus religiosa (Peepal tree). The green-colored nanoparticles were identified by UV-Visible spectroscopy, XRD (X-rays diffraction), TEM (Transmission electron microscopy), SEM-EDX (Scanning Electron Microscopy- Energy Dispersive X-Ray Spectrometry), AFM (Atomic force microscopy), and FT-IR (Fourier transform infrared spectroscopy). The green synthesized titanium dioxide nanoparticles were of varying sizes and shapes. These nanoparticles were analyzed for their antibacterial activity in both the bacteria Gram-negative as well as Gram-positive. Agar disc diffusion has been used to assess antibacterial activity. Against Escherichia coli (Gram-negative bacteria), a greater zone of inhibition has been seen in comparison to Staphylococcus aureus (Gram-positive bacteria). Overall, this study is focused on the employment of a green approach for the precise nanoparticle preparation of TiO2 (Titanium dioxide) utilizing an aqueous bark extract of Ficus religiosa for the first time along with the investigation of their potential for antibacterial activity.
Reference tracking of nonlinear airborne systems using stochastic MPC with disturbance observers and actuator chance constraint optimization
Authors: Aryan Suryansh 
Published: July 2023

Abstract
With ever-growing advancements in the field of aerospace technology, there are much wider opportunities and capabilities emerging as a constant demand in terms of speed and accuracy. One of the major segments for any airborne mission is its Guidance-Navigation-Control technique which becomes very crucial for the aspects of speed and accuracy, especially for defense or highly complex missions like missile launches, space missions, airstrikes, and many more. A controller technique that is much more accurate than its traditional counterparts like Proportional-Integral-Derivative (PID) Control and Linear Quadratic Regulator (LQR), as well as constantly considering any instantaneous state measurement noises into account, is an irresistible demand and advantageous over other control techniques in use. A Model Predictive Controller (MPC) can smoothly handle actuator constraints, angle-of-attack constraints, and pitch-angle constraints which makes it more versatile and near perfect for practical nonlinear systems. A real-world nonlinear airborne system is mathematically modeled and represented in its nonlinear state space representation. To accurately measure the instantaneous states, the Kalman filter with distinct covariances for both state and control measurements is taken considering noises to be normally distributed. This is followed by the nonlinear model predictive controller which acts based on the system’s guidance requirements on the perturbated states at each time instance for optimal reference path tracking as well as dealing with stochastic actuator values optimized by chance-constraint programming. The performance of the proposed reference tracking technique is implemented in MATLAB/Simulink tool with numerical as well as graphical analysis results.
Interdisciplinary treatment including cognitive behavioral therapy and mindfulness for chronic migraine and drug-induced headache
Authors: Golovacheva V. A. 
Published: July 2023

The presented clinical case describes the management of a patient with chronic migraine (CM), drug-induced headache (LIH), and generalized anxiety disorder. It shows the influence of genetic factors (hereditary predisposition to the development of addiction, anxiety disorder), biological factors (migraine attacks from adolescence, overuse of painkillers), psychological factors (stress, development of generalized anxiety disorder, pain catastrophizing), social factors (lack of rational supportive family environment) on the clinical picture of CM.A modern, evidence-based approach to the preparation of a treatment plan for a patient with CM and concomitant LIH and generalized anxiety disorder has been demonstrated. The interdisciplinary plan was developed and successfully applied for the treatment of the patient. It included withdrawal of painkillers, due to which LIH developed, symptomatic pharmacotherapy for the withdrawal period, an alternative drug for the relief of headache with a limited number of doses and dosage frequency allowed to the patient, prophylactic pharmacotherapy for CM, pharmacotherapy for the concomitant generalized anxiety disorder, and psychological methods such as cognitive behavioural therapy (CBT) and mindfulness. Recent studies showed that mindfulness helps patients with LIH successfully overcome the period of painkiller withdrawal, the effectiveness of mindfulness is comparable to the effectiveness of preventive pharmacotherapy during the period of pain killer withdrawal. Mindfulness therapy was included in the structure of the CBT sessions. The CBT helped to replace the patient's misperceptions of her disease and maladaptive behaviour towards pain and anxiety with alternative, realistic ideas about her disease, adaptive behaviour towards pain and anxiety. The interdisciplinary treatment resulted in the conversion from chronic to episodic migraine, regression of LIH, and significant improvement of her emotional state in just 3 months. At the 12-month follow-up the treatment showed a persistent positive effect.
Do Auditors Price Common Ownership?
Authors: Raman K. K. , Ye Chunlai , Yu Lin-Hui 
Published: July 2023

SUMMARY
Common ownership (i.e., financial institutions’ block holding stock in industry rivals) and its implications for investors are matters of current interest and debate (Securities and Exchange Commission (SEC) 2018). Motivated by this debate and the salience of common ownership, we investigate whether and how auditors price common ownership. Consistent with the notion that common ownership improves monitoring, we find common ownership is related to lower audit fees (about 6 percent lower). Further, we find that the reduction in audit fees is more pronounced for companies whose common owners (1) have stronger incentives to monitor and (2) have “scale” in monitoring. Using path analysis, we find common ownership contributes to lower audit fees through improved earnings quality. Collectively, our findings speak to the effect of monitoring mechanisms from common ownership and are of potential interest to investors and the SEC as they attempt to assess the broader implications of common ownership.
Data Availability: All data used in the paper are publicly available from sources cited in the paper.
JEL Classifications: M4; M42.