bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effects of anesthetic drug choice on heart rate variability and echocardiography parameters in cats
Authors: Panprom Chattida , Pattanapon Nakrob , Petchdee Soontaree 
Published: July 2023

Abstract
Heart rate variability is one of the assessments for cardiovascular risk during general anesthesia. The aims of this study were to assess the effects of an anesthetic drug on heart rate and heart rate variability (HRV) in cats and to provide the information for clinical applications. Twenty-four healthy client-owned cats of various breeds, 12 females and 12 males scheduled for elective surgery, were enrolled in this study. The cats were premedicated and induced with 4 protocols: protocol 1, diazepam (0.3 mg/kg) and propofol (3 mg/kg); protocol 2, diazepam (0.3 mg/kg) and alfaxalone (3 mg/kg); protocol 3, diazepam (0.3 mg/kg) and ketamine (5 mg/kg); and protocol 4, xylazine (1 mg/kg) and tiletamine/zolazepam (Zoletil) (5 mg/kg). The heart rate and heart rate variability of the 24 cats were collected before and at least 1 hour after administering the anesthetic drugs. Echocardiography was performed to evaluate heart function. Doppler was used to obtain the mean blood pressure. After anesthetic drug administration, higher heart rates were found in cats premedicated and induced with alfaxalone (p = 0.045) than in the other protocols, and the lowest heart rate (HR) values were found in cats in protocol 4 using xylazine and Zoletil. The HRV low frequency (LF) and high frequency (HF) power ratios increase in all protocols except for cats premedicated and intubation with propofol. The standard deviation of the normal sinus beats (SDNN) was higher in cats premedicated and induced with ketamine than in other anesthetic protocols (p = 0.015). An increase in sympathetic activity and reduced heart rate variability is associated with high blood pressure and left atrial dimension. The percentage of fractional shortening (FS) decreased in cats premedicated with ketamine. This study demonstrated that an anesthetic protocol using diazepam and propofol preserved cardiovascular function and was safe to use for surgeries in cats.
Spatially resolved metabolomics and isotope tracing reveal dynamic metabolic responses of dentate granule neurons with acute stimulation
Authors: Miller Anne , York Elisa , Stopka Sylwia , Martínez-François Juan , Hossain Md Amin , Baquer Gerard , Regan Michael , Agar Nathalie , Yellen Gary 
Published: July 2023

Abstract
Neuronal activity creates an intense energy demand that must be met by rapid metabolic responses. To investigate metabolic adaptations in the neuron-enriched dentate granule cell (DGC) layer within its native tissue environment, we employed murine acute hippocampal brain slices coupled with fast metabolite preservation, followed by mass spectrometry imaging (MALDI-MSI) to generate spatially resolved metabolomics and isotope tracing data. Here we show that membrane depolarization induces broad metabolic changes, including increased glycolytic activity in DGCs. Increased glucose metabolism in response to stimulation is accompanied by mobilization of endogenous inosine into pentose phosphates, via the action of purine nucleotide phosphorylase (PNP). The PNP reaction is an integral part of the neuronal response to stimulation, as inhibiting PNP leaves DGCs energetically impaired during recovery from strong activation. Performing MSI on brain slices bridges the gap between live cell physiology and the deep chemical analysis enabled by mass spectrometry.
Research on the impact of AI application on capital chain resilience
Authors: Li Rensi 
Published: July 2023

AbstractUnfavorable external factors such as COVID-19 and economy recession have affected the abilities of enterprises to continue operating. Among them, capital chain resilience has become a key issue for enterprises. In the new era, artificial intelligence (AI) technology can provide new solutions for avoiding the breakage of the capital chain. Using data from listed companies in China, we find that AI technology can improve capital chain resilience. The main impact mechanism is to reduce the level of corporate financial constraints and improve internal control efficiency, and when corporate governance efficiency and resource acquisition capability are lower, such as poor levels of executive supervision and incentive, governance, executive resource acquisition ability, financial statement tone, business and financing environment, the effect of AI technology on improving capital chain resilience is more obvious. We enrich the research on AI and capital chain resilience, provide references for enterprises to use AI technology to help enterprises obtain more funds, warn of risks, and make correct decisions quickly in a crisis to help enterprises survive the crisis smoothly.
Route Optimization for Energy Efficiency in IoT and Software Defined RPL Heterogeneous Networks
Authors: Gasouma Amir , Yusof Kamaludin , Bouallegue Belgacem , Ahmed Abdelmoty , Khattab Mahmoud 
Published: July 2023

Abstract
The Internet of Things (IoT) technology is one of the most important emerging technologies in today's world, and it is one of the most important and hot topics in information technology research. The Internet of Things (IoT) refers to the concept of connecting smart things to monitor, control, or exchange data over the Internet. These smart things could be tiny devices, with limited battery capacity and power supplies. These devices' high energy consumption shortens their lifespan, affecting the entire IoT network. The Internet Engineering Task Force (IETF) developed the main routing protocols used in the IoT, such as the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL), and standardized it in RFC6550, as one of the IoT's core routing protocols, and it is the only standard protocol that assists the routing process in Low Power and Lossy Networks (LLNs) of IoT applications. An approach that addresses the challenges of IoT networks and exploits new flexible network architectures, such as Software-Defined RPL networks, there is a considerable gap in adapting objective functions (OFs) for routing and controlling control messages for RPL operations, which enhance the energy efficiency of the IoT networks. This paper proposes a unique software-defined RPL system with optimized RPL operations for heterogeneous IoT environments to enhance energy efficiency. The proposed work performed adaptive OF selection and routing, for that purpose the proposed work formulated three categories of objective functions (OF1, OF2, OF3) namely TriOF. The optimal OF is selected based on the status of the network using the Killer Whale Optimization (KWO) algorithm. It improved the performance of adaptive OF selection and enhanced the network energy efficiency. We evaluate the outcomes through a series of simulated experiments using the Network Simulator (NS3). The proposed model approach results in a reduced number of control messages, control overhead, packet delivery ratio, and packet loss rate. Compared to the contrast works, energy consumption is reduced by 40% and 60%, respectively.
A Many-Objective Optimization Evolutionary Algorithm Based on Double Surrogate-Assisted Adaptive Guiding Evolutionary Direction
Authors: Dali Jiao , Yifei Yao , Du Cheng , Qingliang Li , Fanhua Yu 
Published: July 2023

Abstract
In expensive Many-objective Optimization Problems, Surrogate-Assisted Evolutionary Algorithms (SAEAs) are often used to reduce the number of original Function Evaluations (FE). However, traditional SAEAs may suffer from long running times due to the complex computational demands of the surrogate models themselves. In this paper, we propose a novel algorithm called " A Many-Objective Optimization Evolutionary Algorithm Based on Double Surrogate-Assisted Adaptive Guiding Evolutionary Direction (DSAG)", aimed at further reducing the running time of SAEAs. The proposed algorithm employs two surrogate models: one for predicting the diversity of solutions and another for predicting the convergence value of solutions, and then sorts the solutions based on the prediction results. Afterwards, the algorithm adaptively adjusts the type and number of candidate solutions according to the "Convergence-Related Average Move Distance (CAMD)" proposed in this paper. This algorithm can adaptively bias towards either the convergence exploration stage or the diversity exploration stage. Compared with other classical surrogate-assisted evolutionary algorithms, the proposed algorithm first categorizes the decision variables and uses the categorized data to train two surrogate models, which makes the overall complexity and running time of the algorithm superior to others. Finally, we compared the performance of this algorithm on different problems using benchmark test functions to verify its ability to explore diversity and improve convergence. Then, we compared the running time of the algorithm with changes in the target dimension, decision variable dimension, and number of Original FE on the same test problems, and demonstrated the superior performance of the algorithm.
Prevalence and Imaging-Based Classification of Pituitary Adenomas with Hard Consistency: A Systematic Review and Meta-Analysis
Authors: Gaia Felipe , Pokorny Gabriel , Cortez Gustavo M , Zymberg Samuel Tau , Cruz Oswaldo Laércio Mendonça 
Published: July 2023

Abstract
OBJECTIVE
Transsphenoidal resection of pituitary adenomas may be difficult in patients with hard tumors. To determine the genuine incidence and performance of radiological features in diagnosing pituitary adenomas with hard consistency, we conducted a comprehensive review and meta-analysis of the literature.
METHODS
A literature search was conducted and publications comparing intraoperative pituitary tumor consistency and preoperative magnetic resonance imaging (MRI) were included. The authors assessed the prevalence of hard pituitary tumors using a random-effects meta-analysis and univariate analysis.
RESULTS
Of 916 studies, 888 were excluded. Finally, 28 trials with 1116 patients with pituitary tumors were considered. Hard-consistency tumors were adjudicated intraoperatively in 219 patients (weighted incidence, 16.82%; 95% CI, 12.35-22.48%, I2 = 65.1%). With a weighted proportion of 15%, 17 studies (60%) demonstrated a link between radiological results and intraoperative tumor consistency in at least one MRI sequence (95% CI, 10,31% - 22,70%). In 31% and 53% of the trials, apparent diffusion correlation (ADC) and T2-weighted sequences were linked to tumor consistency. Nonetheless, inconsistent signal intensities across trials make it impossible for conventional MRI sequences to correctly estimate pituitary tumor consistency.
CONCLUSION
In the current study population, the weighted incidence of pituitary tumors classified as having a hard consistency was 16%.
An Artificial Intelligence Video-Based Assessment of Upper-limb Bradykinesia in Parkinson’s Disease
Authors: Guarin Diego , Wong Joshua , Ramirez-Zamora Adolfo 
Published: July 2023

Abstract
As there is a lack of an objective biomarker for Parkinson’s disease (PD), the clinical practice relies on serial neurologic assessments to track and characterize disease progression. These clinical scales lack the resolution to detect subtle changes, classify the movements into broad categories, require significant expertise for proper application, and are not sensible enough for early diagnosis; imaging markers are objective and sensible for early diagnosis but are costly and not commonly available. The video-based movement measures estimated using AI algorithms for motion tracking represent a novel alternative for diagnosing and assessing PD. Video-based measures are objective, sensitive to small changes, inexpensive, and easily accessible. This paper explores the correlation between objective kinematics measures derived from videos of the Finger Tapping Test using AI-based algorithms for markerless motion tracking with well-established clinical and imaging markers of disease progression in PD. The results demonstrate that AI-based algorithms for markerless motion tracking accurately track hand movements during the Finger Tapping Test. Different movement aspects, such as speed, duration, amplitude, and rhythm alterations, can be quantified from the videos. Our analysis showed that these video-based measures were significantly correlated with clinical rating scales, including the Movement Disorder Society – Parkinson’s Disease Rating Scale Part III and its Finger Tapping subscore. Additionally, some measures significantly correlated with imaging markers, such as Free Water in the posterior Substantia Nigra. Furthermore, video-based measures could detect the presence of PD from the Finger Tapping Test videos with high accuracy. The best classification model achieved an average accuracy of 95% and an area under the receiver operating characteristic curve of 0.87. Finally, we introduce The Hand Tracking Tool, an easy-to-use interface for analyzing Finger Tapping Test videos using AI-based algorithms for markerless motion tracking and obtaining objective movement measures.
m5C RNA modiﬁcation upregulates E2F1 expression dependently on YBX1 phase separation and promotes tumor progression in ovarian cancer
Authors: Yi Ping , Liu Xiaoyi , Wei Qinglv , Yang Chenyue , Zhao Hongyan , Mobet Youchaou , Luo Qingya , Yan Dan , Zuo Xinzhao , Chen Ningxuan , Yang Yu , Li Li , Wang Wei , Yu Jianhua , Jing Xu , Liu Tao 
Published: July 2023

Abstract
5-methylcytosine (m5C) is a common RNA modification that modulates gene expression at the post-transcriptional level, but the cross-talk between m5C RNA modification and biomolecule condensation as well as transcription factor-mediated transcriptional regulation in ovarian cancer remains poorly understood. In this study, we uncover that the RNA methytransferase NSUN2 facilitates m5C modification of mRNA and forms a positive feedback regulatory loop with the transcription factor E2F1 in ovarian cancer. Specifically, NSUN2 promotes m5C modification of E2F1 mRNA and enhances its stability, and E2F1 binds to NSUN2 promoter followed by the activated transcription reciprocally. The RNA binding protein YBX1 acts as the m5C reader and is involved in NSUN2-mediated E2F1 regulation. m5C modification promotes YBX1 phase separation that upregulates E2F1 expression. In ovarian cancer, NSUN2 and YBX1 are amplified and upregulated, and higher expressions of NSUN2 and YBX1 predict a worse prognosis for ovarian cancer patients. Moreover, E2F1 transcriptionally regulates the expression of oncogenes MYBL2 and RAD54L, driving ovarian cancer progression. Thus, our study delineates a NSUN2-E2F1-NSUN2 circuitry regulated by m5C modification dependently on YBX1 phase separation, and the identified previously unknown pathway can be a promising target for ovarian cancer treatment.
Preclinical Training of Future Ocular Surgeons: a French Opinion-Based Study
Authors: KITIC Nicolas , BOURGES Jean-Louis 
Published: July 2023

Abstract
Purpose : To assess ophthalmology residents satisfaction regarding surgical training during residency in France.
Methods : A questionnaire consisting of 28 questions was designed and sent to residents of ophthalmology across the 27 French regions.
Results : A total of 30.3% of ophthalmology residents in France completed our questionnaire. All French regions participated. They rated 5,27/10 ± 2.42 the global surgical training during residency. They had performed at least one step of any type of ocular surgery for 93.4% of them, while 80.7% had completed at least one full cataract surgery, by the second half of the 3rd semester on average (Paris : 2.59 semesters ± 1.36 ; regions : 4.05 semesters ± 1.96, p < 0.0001). Only 48.9% identified a surgical mentor during their residency, but 82.2% did not clearly identify surgical goals & objectives during their training.
Simulation was available for any type of ocular surgery to all residents in the Paris (Île-de-France) region and to 78.1% in other regions (p < 0.005). Residents who accessed drylabs and wetlabs gave a satisfaction score of 7.31/10±1.89 and 6.39/10±2.15 to it respectively.
Simulation was a mandatory part of the curriculum for 35.2% of the resident. They commented on on reduced access to subspecialized surgery. They were willing for more access to simulation and surgery on real patients, as well for closer mentoring and clearly defined surgical goals within the curriculum.
Conclusion : Ophthalmology residents seemed globally satisfied with their surgical training nationwide, although we observed disparities across region. They largely acknowledged a lack of standard procedures nationwide. They acclaimed simulation during the initial phase of residency, progressively switching towards surgery on real patients. An “operating license” during residency could be a viable way for the resident to demonstrate that they have acquired enough surgical abilities to perform surgery on real patients.
Can the Regional 3D Stress Field according to the Wallace-Bott Hypothesis predict fault slip directions of future large earthquakes?
Authors: Ishibe Takeo , Terakawa Toshiko , Hashima Akinori , Mochizuki Masashi , Matsu'ura Ritsuko S. 
Published: July 2023

Abstract
When evaluating strong ground motion and tsunamis from specified source faults, it is required that the input parameters, such as fault geometry, rake angle, and slip amount, do not deviate from those of a real earthquake. Recently, a regional three-dimensional (3D) tectonic stress field was used to estimate rake angles for mapped submarine faults with the Wallace-Bott hypothesis (WB), the direction of fault slip was parallel to the resolved stress vector on a preexisting fault, and strong ground motion and tsunamis were simulated. However, this modeling technique has not been adequately validated. Additionally, it is necessary to examine how the stress field estimated from seismological data for a limited period (~10 years) can be used as a proxy for long-term tectonic stress fields. In this study, to provide such validation, we utilized two catalogs of focal mechanism solutions for earthquakes and compared the observed rake angles with those calculated from the regional 3D tectonic stress field with WB by fixing the fault strike and dip angles according to those from the focal mechanism data. The resulting misfit angles between the observed and calculated rake angles are generally small (ranging between -30° and 30°), excluding several regions (e.g., the source and surrounding regions of the 2011 off the Pacific coast of Tohoku earthquake and swarm-like activities activated after the 2011 quake). We also confirmed that the calculated rake angles and classified fault types are consistent with geomorphologically and geologically evaluated types of faulting for major Quaternary active faults in the Kyushu district of southwest Japan. These results support the validity and effectiveness of estimating rake angles for a specific fault with known geometry from the above method and data, while also showing that close attention is required to apply this method to, for example, seismically inactive regions where the inverted stress fields include significant uncertainties and/or near sites of recent and large earthquakes, where the stress fields have been perturbed.
Sliding mode control of the hydraulic swing joint based on nonlinear disturbance observers
Authors: Yang Mingxing , Zhang Xing , Lu Yaxing , Xie Nenggang , Wang Lu , Xi Ruru 
Published: July 2023

Abstract
Due to the nonlinearity of the hydraulic position servo system and its model uncertainty, which makes it more difficult to establish an accurate mathematical model, while a single control algorithm can no longer meet the control accuracy and demand of the hydraulic servo system. In order to better study the position control method of hydraulic swing joint and improve the control accuracy, this paper attempts to address the position servo control problem of hydraulic swing joint by proposing a sliding mode control approach in which, based on nonlinear disturbance observers and the effectiveness of the algorithm is verified by AMESim-Matlab/Simulink co-simulation. Firstly, this paper briefly describes the three-dimensional model of hydraulic swing joint and analyzes the working principle of the position servo system of hydraulic swing joint. Secondly, the mathematical model of the hydraulic swing joint position servo system was established, the control algorithm was designed, and the stability of the control algorithm was proved using Lyapunov theory. Thirdly, combining the rich component model library of AMEsim platform and the powerful numerical computing capability of Matlab platform, the co-simulation of the two platforms is realized by creating S-Function interface in Matlab platform. Finally, the validity of the proposed sliding mode control strategy based on the nonlinear disturbance observers (NDOB-SMC) strategy is verified through experimental analysis of co-simulation, and compared with the traditional PID as well as the traditional sliding mode control (SMC) algorithm, which is found to possess superior control accuracy and practical application capability.
Retrospective significance of total bilirubin as a predictor of acute appendicitis
Authors: Saad Hassan A , El-Taher Ahmed K , Abo-Alella Heba Alhussein , Riad Mohamed , Elsayed Ashraf 
Published: July 2023

Abstract
Objective
The present research aimed to examine the clinical importance of preoperative total bilirubinemia in patients with acute appendicitis and determine whether it has any practical application for predicting severe appendicitis.
Methods
A retrospective analysis of appendicectomies was done in one hospital (N = 636 cases of acute appendicitis presented to the emergency department between December 2019 and January 2023). Using multivariate analysis, we looked at predictive data for complex (perforated or gangrenous) appendicitis, including demographics, gender, white blood cell count, degree of C-reactive protein (CRP) elevation, high-temperature peritoneal signs and indicators, and total bilirubin level.
Results
Those with total bilirubin (>1.1 mg/dL), high CRP levels (>0.5 mg/dL), positive peritoneal irritated symptoms, and a temperature (>37.3 C) had considerably higher rates of acute appendicitis. Age (>64 years), hyperbilirubinemia, high CRP level, and fever (odds ratios of 3.36, 1.75, 7.61, and 2.43, respectively) were identified by multivariate analysis as associated risks for complex appendicitis. High temperatures, raised CRP levels, and hyperbilirubinemia were also found to be risks for complex appendicitis in all individuals, especially those under 65 years old (odds ratios: 1.99, 5.90, and 2.72, respectively).
Conclusions
High temperatures, elevated CRP, and high total bilirubin were good predictor factors of acute appendicitis, especially useful among cases younger than 65 years, but total bilirubin was a more precise indicator.