bluuebunny/crossref_metadata_2025 huggingface dataset:
Treatment of intrahepatic cholangiocarcinoma: evidence for the role of percutaneous ablation
Authors: Bale Reto , Pawlik Timothy M.
Published: October 2023

Intrahepatic cholangiocarcinoma (iCCA) is a rare cancer with generally poor prognosis. In this narrative review, we examine the role of thermal ablation and summarize the current literature. Radiofrequency ablation (RFA) and microwave ablation (MWA) are both safe and well-tolerated as a minimally invasive local curative treatment option for patients suffering from primary and secondary liver tumors. Both methods can be used in patients with medical morbidities that would preclude surgery, as well as individuals with anatomical or functional constraints that impede liver resection. In unresectable iCCA, the median OS after conventional percutaneous US- or CT-guided RFA and MWA is between 20 and 39 months and 10 and 28 months, respectively. In recurrent iCCA, percutaneous RFA and MWA achieved a median OS of 21-27 months and 21-31 months, respectively. These data are comparable to long-term outcomes after surgical resection (SR), with the number of nodules and tumor size affecting prognosis. Stereotactic radiofrequency ablation (SRFA) allows for effective treatment of large and multiple iCCA nodules within one session and achieves short- and long-term results in inoperable patients compared with resection. With the addition of SRFA as an alternative treatment option, the proportion of patients who can be treated with curative treatment has significantly increased. In the absence of prospective trials comparing thermal ablation and surgical resection, we recommend a patient-specific decision-making process. Future research to identify technical and clinical prognostic criteria, as well as molecular markers of tumor biology, may help select patients for ablation and subsequent outcomes.
Synopsis of Canthiumera and Pyrostria (Rubiaceae, Vanguerieae) in Thailand
Authors:   Naturalis Biodiversity Center, section Botany, P.O. Box 9517, 2300 RA Leiden, The Netherlands., Duyfjes Brigitta E.E. , De Wilde Willem J.J.O. ,   Naturalis Biodiversity Center, section Botany, P.O. Box 9517, 2300 RA Leiden, The Netherlands., Winkel Esmée L.C. ,   Naturalis Biodiversity Center, section Botany, P.O. Box 9517, 2300 RA Leiden, The Netherlands., Phonsena Phongsak ,   Forest and Plant Conservation Research Office, Department of National Parks, Wildlife and Plant Conservation, 61 Phahon Yothin Road, Chatuchak, Bangkok 10900, Thailand.
Published: October 2023

Canthiumera and Pyrostria comprise two species each in Thailand; three lectotypes are designated.
Synthesis and verification of the method of finding a faulty sensor in redundant meters
Authors: Gorelov Evgen , Shchogoleva Svitlana
Published: October 2023

The reliability of the method for determining a failed sensor in a redundant angular velocity meter (AVM) by means of its experimental verification is considered. The mutual non-orthogonal arrangement of six axes of sensor sensitivity has been optimized to reduce the instrumental errors of each sensitive element and ensure the equality of their contribution. Provides approximately the same sensitivity to the level of error in case of failure. One of the six experimentally obtained sensor signals contains an error that exceeds the specified permissible limit. The algorithm for searching for a sensor is checked, the error of which exceeds the specified one, and which, for this reason, is considered faulty.
БІЗНЕЗ ПЛАНУВАННЯ: СТРАТЕГІЧНИЙ АСПЕКТ
Authors: Обелець Т. В.
Published: October 2023

У статті розглянуто особливості процедури розробки стратегічного бізнес-планування за невизначених соціально-економічних умов. Для вирішення поставлених завдань використовувались абстрактно-логічний метод, методи аналізу та синтезу, методи систематизації та узагальнення. У дослідженні окреслено особливості структури стратегічного бізнес-планування. Зазначено, що стратегічний бізнес-план може варіюватися залежно від обраної методики, яку слід сприймати лише як орієнтир. Також зазначено, що уніфікованих стандартів та жорсткого керівництва із бізнес-планування не існує. У цьому контексті виокремлено стандарти бізнес-планування BFM Group, розроблені українською консалтинговою компанією BFM Group Ukraine, що являються найбільш ґрунтовною методикою бізнес-планування. Проведено аналітичну оцінку використання аналізу життєвого циклу галузі в поєднанні з конкурентною позицією підприємства. Також представлено структуру VRIO аналізу. Досліджено особливості сценарного планування стратегічних варіантів розвитку бізнесу із використанням для перевірки альтернативних ідей та припущень, що особливо актуально в умовах невизначеності.
Cooperative breeding and reversal of sex roles at a Grey Butcherbird Cracticus torquatus nest
Authors:   Centre for Biodiversity and Conservation Science, The University of Queensland, St Lucia QLD 4072, Australia, Backstrom Louis ,   School of Biological Sciences, The University of Queensland, St Lucia QLD 4072, Australia
Published: October 2023

The Grey Butcherbird Cracticus torquatus is a common and widespread bird found across much of Australia, but its breeding biology is incompletely known, with no dedicated studies having been conducted. Opportunistic observations at a Grey Butcherbird nest in Brisbane, Queensland, are presented. In particular, two rarely reported breeding behaviours of this species are described: cooperative breeding involving an immature helper, and reversal of sex roles by the adults, with a male observed brooding on two occasions.
Group Theory of Messenger RNA Metabolism and Disease
Authors: Planat Michel , Amaral Marcelo , Fang Fang , Chester David , Aschheim Raymond , Irwin Klee
Published: October 2023

Our recent work has focused on the application of infinite group theory and related algebraic geometric tools in the context of transcription factors and microRNAs. We were able to differentiate between “healthy" nucleotide sequences and disrupted sequences that may be associated with various diseases. In this paper, we extend our efforts to the study of messenger RNA metabolism, showcasing the power of our approach. We investigate (i) mRNA translation in prokaryotes and eukaryotes, (ii) polyadenylation in eukaryotes, which is crucial for nuclear export, translation, stability, and splicing of mRNA, (iii) miRNAs involved in RNA silencing and post-transcriptional regulation of gene expression, and (iv) the identification of disrupted sequences that could lead to potential illnesses. To achieve this, we employ (a) infinite (finitely generated) groups fp, with generators representing the r+1 distinct nucleotides and a relation between them [e.g., the consensus sequence in the mRNA translation (i), the poly(A) tail in item (ii), and the miRNA seed in item (iii)], (b) aperiodicity theory, which connects “healthy groups" fp to free groups Fr of rank r and their profinite completion F^r, and (c) the representation theory of groups fp over the space-time-spin group SL2(C), highlighting the role of surfaces with isolated singularities in the character variety. Our approach could potentially contribute to the understanding of the molecular mechanisms underlying various diseases and help develop new diagnostic or therapeutic strategies.
Solitonlike Coherent Structure Is a Universal Motion Form of Viscous Fluid
Authors: Sun Bohua
Published: October 2023

The discovery of solitonlike coherent structure (SCS) in boundary layer flows is crucial for understanding turbulence origins and in particular for laminar-turbulence transition. However, the task of finding solutions for solitonlike coherent structure from the Navier-Stokes equations poses a significant challenge. In this paper, based on the author's previous work [Sun (2023) in Ref.31], we are able to study convergent flow boundary layers, whose solution encompasses both shock wave and solitary wave solutions, and their superposition gives rise to solitary-like waves, namely solitonlike coherent structure. It is found that the solitonlike coherent structure can only be obtained by combining the Navier-Stokes equations and mass conservation, since the combined equations will have the third order derivatives respect to coordinate x, in other words, without the mass conservation condition, the Navier-Stokes equations does not contain solitonlike coherent structure by itself. Finally proved solitonlike coherent structure is a universal motion form of viscous fluid.
Acoustic Monitoring in Underwater Wireless Sensor Networks using Energy-efficient Artificial Fish Swarm-based Clustering Protocol (EAFSCP)
Authors: Kaur Puneet , Kaur Kiranbir , Singh Kuldeep , Bharany Salil , Almazyad Abdulaziz S. , Xiong Guojiang , Mohamed Ali Wagdy , Shokouhifar Mohammad , Werner Frank
Published: October 2023

Underwater wireless sensor networks (UWSNs) represent a specialized category of WSNs with versatile applications including acoustic monitoring, oil and gas exploration, and military surveillance. UWSNs face formidable challenges such as limited energy resources, extended propagation delays, and harsh conditions. Existing clustering and multi-hop routing protocols often unevenly distribute nodes geographically, causing network fragmentation and disproportionately draining the battery life of nodes near the sink due to higher data transmission demands. In this paper, we introduce an Energy-efficient Artificial Fish Swarm-based Clustering Protocol (EAFSCP), inspired by the collective behavior of fish swarms. EAFSCP is a decentralized clustering algorithm designed for acoustic monitoring in UWSNs. Its decentralized nature makes it particularly well-suited for large-scale UWSNs, where centralized algorithms may not be feasible. Through comprehensive comparisons with existing cluster-based routing protocols, our findings indicate that EAFSCP consistently outperforms them across multiple key performance metrics, including network lifetime, energy consumption, packet delivery ratio, packet loss rate, and throughput. According to the results, EAFSCP represents an effective clustering algorithm that enhances network performance, prolongs network lifespan by reducing energy consumption, promotes scalability, and provides valuable guidance for emergency response efforts.
Characterization of Equilibrium Catalysts from the Fluid Catalytic Cracking Process of Atmospheric Residue
Authors: Seybou Yacouba Zakariyaou , Ye Hua , Dan Makaou Oumarou Abdoulaye , Abdoul Aziz Mamane Souley , Ke Shi Xian
Published: October 2023

In the FCC conversion of heavy petroleum fractions as atmospheric residues, the main challenge for refiners to achieve the quantity and quality of various commercial products depends essentially on the catalyst used in the process. A deep characterization of the catalyst at different steps of the process (fresh, regenerated, and spent catalyst) was investigated to study the catalyst's behavior including the physicochemical evolution, the deactivation factor, and kinetic-thermodynamic parameters. All samples have been characterized by various spectroscopy methods such as N2 adsorption-desorption, UV-visible spectroscopy, Raman spectroscopy, LECO carbon analysis, Scanning electron microscopy (SEM), X-ray diffraction (XRD), X‐ray fluorescence (XRF), nuclear magnetic resonance spectroscopy (NMR13C) analysis, and Thermogravimetric analysis.
The results of N2 adsorption-desorption, UV-vis, Raman, LECO carbon, and SEM images showed that the main causes of catalyst deactivation and coking were the deposition of carbon species that covered the active sites and clogged the pores, and the attrition factor due to thermal conditions and poisonous metals. The XRD and XRF results showed the catalyst’s physicochemical evolution during the process and the different interlinks between catalyst and feedstock (Nickel, Vanadium, Sulfur, and Iron) elements which should be responsible for the coking and catalyst attrition factor. It has been found that, in addition to the temperature, the residence time of the catalyst in the process also has an influence on catalyst structure transformation. NMR13C analysis revealed that polyaromatic hydrocarbon is the main component in the deposited coke of the spent catalyst. Thermogravimetric analysis showed that the order of catalyst mass loss was fresh > regenerated > spent catalyst due to the progressive losses of the hydroxyl bonds (OH) and the structure change along the catalyst thermal treatment. Moreover, the kinetic and thermodynamic parameters showed that all zones are non-spontaneous endothermic reactions.
Underground Mining Shaft Survey – Multiple LiDAR and IMU Sensors Data Set
Authors: Adamek Artur , Będkowski Janusz , Kaminski Paweł , PAsek Rafal , Pelka Michal , Zawislak Jan
Published: October 2023

This paper provides a data set collected with an underground shaft mobile mapping system equipped with rotated Velodyne VLP-16, Velodyne Ultra Puck VLP-32c, Livox Tele-15, and IMU Xsens MTi-30. The ground truth data was acquired with a geodetic survey including 15 ground control points and 6 Faro Focus 3D Terrestrial Laser Scanner stations of a total 273,784,932 of 3D measurement points. The aim of the paper is to describe the data set of a mining shaft. Obtained mobile mapping data can be the basis for detailed analyzes of the technical condition of the shaft. This data set provides an end-user case study of realistic applications in mobile mapping technology. It provides ground truth data, mobile mapping data and software tools for manipulation and visualization. The project is released and maintained at https://michalpelka.github.io/mine-mapping-dataset/.
Autonomous Robotic Navigation Approach Using Deep Q-Network Late Fusion and People Detection Based Collision Avoidance
Authors: Bezerra Carlos Daniel , Carneiro Daniel Porto , Vieira Flávio Henrique
Published: October 2023

In this work, we propose an approach for the autonomous navigation of mobile robots using fusion of sensor data by a Double Deep Q-Network with collision avoidance by detecting moving people via computer vision techniques. We evaluate two data fusion methods for the proposed autonomous navigation approach: Interactive and Late fusion strategy. Both are used to integrate mobile robot sensors through the following sensors: GPS, IMU and, an RGB-D camera. The proposed collision avoidance module is implemented along with the sensor fusion architecture in order to prevent the autonomous mobile robot from colliding with moving people. The simulation results indicate a significant impact on the success of completing the proposed mission by the mobile robot with the fusion of sensors, indicating a performance increase (success rate) of 27% in relation to navigation without sensor fusion. With the addition of moving people in the environment, deploying the people detection and collision avoidance security module has improved about 14% the success rate when compared to that of the autonomous navigation approach without the security module. Video was developed with robot navigation using the DDQN-Late Fusion https://www.loom.com/share/684afa6a5b0148afadc9a200ab9f3483.
Comparison of Psychophysiological Responses in Individual and Small Group Aerobic Training with Prescribed and Self-Selected Intensity
Authors: Silva Carlos Eduardo Rosa , Garcia Alessandro Barreta , Santana Wilian Jesus , Pinto Luiz Gustavo , Lima Leonardo Emmanuel , Dias Helton Magalhaes , Zanetti Marcelo Callegari , Jr. Aylton Figueira
Published: October 2023

Self-selecting the intensity of aerobic training is a perspective that allows practitioners to develop autonomy (choice of pace), improve physical fitness and achieve weight loss. To compare the effect of four aerobic training protocols on cardiometabolic and psychophysiological responses in physically inactive adult men and women. The sample consisted of 11 individuals aged 56 ± 10 years and BMI 29.2 ± 2.4 kg/m2 performed four different treadmill aerobic training protocols, including: 1-individual with self-selected intensity (ISS), 2-individual with prescribed intensity (IPI) (64-76% of HR max), 3-small group with self-select. selected intensity (SGS) and 4-small group prescribed intensity (SGP) (64-76% of HR max). Heart rate, lactate, perceived exertion, affective response, activation scale, enjoyment, intention to repeat the session, treadmill speed and total distance from the protocol were analyzed. Statistical analysis used ANOVA with Tukey's post hoc test (p<0.05). Heart rate, lactate, perceived exertion, activation scale, enjoyment, average speed and total distance analyzes did not show significant differences between protocols. The response affective showed a smaller decline in the ISS protocol (p<0.05), and the intention to repeat the training session was greater in the ISS protocol (p<0.05). Conclusion: The data allow us to conclude that the ISS training protocol produced superior results in affective response and intention to repeat the session.
Providing a Comprehensive Traffic Safety Analysis Collected by Two LiDAR Sensors at a Signalized Intersection
Authors: Ansariyar Alireza
Published: October 2023

This study investigates the application of Light Detection and Ranging (LiDAR) sensor technology for data collection at signalized intersections characterized by a high rate of traffic crashes. The research aims to provide valuable insights into the potential of LiDAR-based data analysis to enhance road safety and traffic management at signalized intersections. The research methodology involved the deployment of LiDAR sensors at Marlboro Pike & Brooks Dr. signalized intersection in Coral Hills, Maryland. Two LiDAR sensors installed in this intersection to collect high-resolution, three-dimensional data of the intersection area from June, 1st to July, 7th 2023. The data included information on vehicle trajectories, speeds, and behaviors, as well as pedestrian and cyclist movement patterns. Concurrently, historical traffic crashes recorded and traffic flow data were obtained for the same intersection.The analysis of LiDAR data involved several key aspects including LiDAR data allowed for a precise evaluation of traffic flow patterns, including congestion points, traffic volume fluctuations, and peak-hour behavior. This information provided insights into potential factors contributing to crashes. By analyzing LiDAR data, the study identified near-miss incidents, which are often precursors to actual crashes. This proactive approach could assist in identifying crash-prone areas within the intersection. The LiDAR data analysis also focused on pedestrian and cyclist movements, including jaywalking and bike lane usage. The aim was to identify areas where infrastructure improvements could enhance safety for vulnerable road users. LiDAR data was compared with historical crash data to identify specific locations within the intersection that exhibited a high frequency of crashes. This information can guide targeted safety interventions. Last but not least, the study explored opportunities to optimize traffic signal timings based on real-time traffic data from LiDAR. Adaptive signal control could help mitigate congestion and reduce the risk of crashes.The results of this study demonstrated the potential of LiDAR sensor technology in collecting detailed data for traffic analysis in signalized intersections. By combining LiDAR data with historical crash records and traffic flow data, traffic engineers and urban planners can develop evidence-based strategies to reduce the frequency and severity of crashes in high-risk areas. Ultimately, this research contributes to a comprehensive understanding of how LiDAR technology can be employed to enhance road safety and traffic management, providing valuable insights for traffic engineers, urban planners, and policymakers seeking to improve the safety and efficiency of signalized intersections with a history of high traffic crashes.
The 4-Set Tree Connectivity of Hierarchical Folded Hypercube
Authors: Wang Junzhen , Zou Jinyu , Zhang Shumin
Published: October 2023

The $k$-set tree connectivity, as a natural extension of classical connectivity, is a very important index to evaluate the fault-tolerance of interconnection networks. Let $G=(V, E)$ be a connected graph and a subset $S\subseteq V$, an $S$-tree of graph $G$ is a tree $T=(V',E')$ that contains all the vertices of $S$. Two $S$-trees $T$ and $T'$ are internally disjoint if and only if $E(T)\cap E(T')=\varnothing$ and $V(T)\cap V(T')=S$. The cardinality of maximum internally disjoint $S$-trees is defined as $\kappa_{G}(S)$, and the $k$-set tree connectivity is defined by $\kappa_{k}(G)=\min\{\kappa_{G}(S)|S\subseteq V(G)\ \text{and} \ |S|=k\}$.
In this paper, we show that the $k$-set tree connectivity of hierarchical folded hypercube when $k=4$, that is, $\kappa_{4}(HFQ_{n})=n+1$, where $HFQ_{n}$ is hierarchical folded hypercube for $n\geq 7$.
A Literature Review of for Incorporating Crack Tip Plasticity into Fatigue Crack Growth Models
Authors: Garcia Gonzalez Antonio , Aguilera José Antonio , Cerezo Pablo , CAstro-Egler Crisitna , Antunes Fernando , Lopez-Crespo Pablo
Published: October 2023

This article presents a literature review of the different published methods in which crack apex plasticity is used as a parameter to determine or improve the crack growth model. The review includes analytical, experimental and numerical investigations, as well as their combination. Finally, a discussion of the merits and problems of the methods presented is given.
Performance Analysis of Multi-Layer Fender Design under Impacted Vessel
Authors: Okello Moses
Published: October 2023

The design of water Vessel fender system can minimize impact energy, which could result in severe vessel or offshore structure damage during collision. In order to protect Offshore structures and vessels from damage after impact, a Fender design approach is proposed which uses Soft materials like rubber, sand, inflated rubber tube, etc. to reduce damage on impacted vessels as well as offshore structures like wind turbines, bridges, oil drilling platforms in water etc. The fender is designed in such a way that it can handle vessels made of different material, sizes, and weights.The proposed solution is a fender consisting of a number of layers of soft sandwich materials, each layer getting softer as it moves away from the structure i.e. Hard-Soft fender design which can absorb impact energy upon collision. To handle lighter vessels made of soft or brittle materials, the outer layer is made of inflatable or Very soft foam rubber; however, the inner layer covering the offshore structure is made of hard material to handle heavy vessels made of hard material such as steel. Furthermore, the use of sand as a natural fender along waterways such as narrow channels is also proposed to reduce the cost of fender installation and catastrophic vessel impact damage on rocky ground since it produces less deformation just like rubber fender as demonstrated in the simulation. Finite Element Analysis using ANSYS software, Explicit Dynamic Autodyn, was performed. The results showed a considerable decrease in the total deformation and internal energy of the vessel and fended structure when collision occurs. Furthermore, the result showed that Hard-Soft fender layer performs much better than Soft-Hard-Soft followed by Soft-Hard Fender layer design.
Study to Determine the Prevalence of Premenstrual Migraine among Women with Premenstrual Syndrome in Saudi Arabia
Authors: Al-Qahtani Zainah , Narapureddy Bayapa Reddy , Reddy Lingala Kalyan Viswanath , Asiri Hassan Yahya , Asiri Abdulkhaliq Hadi H , Asiri Hassan A Alarafy , Shawkhan Rammas A. , Hamood Nouf Abdulraheem , H Alsalamy Ahmad Abdullah , Hassan Nawaf Khalid Ahmed , Almahdi Hussein Ahmed M , Al Qasim Yousef Yahya , Al Majbar Yahya Ayed Mohammed , A Swadi Abdullah Ali
Published: October 2023

Background: Migraine is one of the most common health conditions in the reproductive male and female population. Premenstrual syndrome (PMS) is a common condition that affects many women during their menstrual cycle. around 50 to 60% have menstrual headaches among the migraineur women. The symptoms in the majority were mild, but 5–8% may suffer moderate to severe symptoms, accompanied by considerable distress or functional dysfunction. Premenstrual migraine (PMM) refers to migraines that occur with the menstrual cycle. It affects approximately 50% of women with migraine and can be debilitating in terms of both frequency and severity of symptoms. This information is important for medical professionals in Saudi Arabia to be aware of so, as to provide better medical care and support which can significantly improve the person's quality of life of women who suffer from PMS and menstrual migraines. Objectives: To estimate the prevalence of menstrual migraines in women, to evaluate the severity and frequency of menstrual migraines in women with PMS, and to identify potential risk factors aggravating menstrual migraines in women with PMS. Methodology: A cross-sectional community-based study was conducted on reproductive age (18-50Years) women who have regular menstrual cycles with experience migraine headaches and are diagnosed with PMS and menstrual migraine, using a self-administered questionnaire between December 2022 to May 2023 in Saudi Arabia. Results: Out of 2130 women participants 397 were suffering from migraine which is 18.6%. Of the total 397(18.6%) Migraineurs individuals 230 (57.9%) were suffering from menstrual migraine and 167 (42.1%) were non-menstrual migraineurs, in general, reproductive women menstrual migraine is 10.7% and non-menstrual migraine is 7.8%. The BMI is increasing the incidence of menstrual migraines is increasing. Migraine Disability Around one-third of the participants were suffering from III–moderate disability 134 (33.8) Most of the menstrual migraine victims at least 3 days in the last three months were absent from their duties due to their menstrual migraines. Conclusions: Migraine attacks during the menstrual cycle cause the impairment of their social and physical ability to perform their routine household, and academic activities and unable to fulfill their professional commitments. To better understand the Menstrual Migraine and Non-menstrual migraine large prospective studies are required to plan the best management methods.
Revolutionizing Green Portfolio Rebalancing: Sustainable Wealth through Innovations in Green Energy
Authors: Dias Rui , Silva Ana Filipa
Published: October 2023

This article explores the relationship between green energy and cryptocurrencies in the sustainable energy finance sector. The research findings contribute to our understanding of the application of green economy practice, enabling investors in financial markets, policymakers, and stakeholders to make informed decisions and develop specific strategies. Adopting the green economy paradigm makes it possible to promote collaboration and innovation by integrating ethical and responsible principles that can improve the overall quality of processes and boost sustainable growth. Cryptocurrencies have been widely used as financial instruments over the last decade. Given the development of the cryptocurrency market and the growing awareness of greener and more energy-efficient tokens, the green economy has become a popular topic for understanding economic and political issues. However, the literature still lacks clear evidence on how cryptocurrencies interact with green energies. Therefore, this study examines the long- and short-term relationships between dirty cryptocurrencies such as Bitcoin (BTC), Ethereum (ETH), clean cryptocurrencies such as Cardano (ADA), Ripple (XRP), Stellar (XLM), and green energies such as ISE Clean Edge Global Wind Energy, S&P Global Clean Energy, S&P TSX Renewable Energy and Clean Technology, Solactive China Clean Energy, in the period from January 2020 to September 2023. The results show that diversification is key, with clean cryptocurrencies such as ADA, XLM and XRP offering diversification opportunities alongside "dirty" cryptocurrencies such as BTC and ETH. Although sustainable energy indices show mixed evidence in the long and short term, they remain relevant for those who focus on clean energy investments. It is also becoming increasingly relevant for investors in sustainable portfolios to assess their environmental impact, especially for energy-intensive cryptocurrencies, and it is advisable to explore sustainable blockchain technologies.
Unintended Effects of Fuel Thinning on the Microclimate in the Coastal Forests of Southwestern British Columbia, Canada
Authors: Millikin Rhonda L. , Braun W. John , Alexander Martin E. , Fani Shabnam
Published: October 2023

Keywords: BC wildfires; climate change, conifer forest fuel complex, fire danger, fire weather, fuel moisture
Full Mouth Rehabilitation Using the All-on-Four Technique and Computer-Guided Surgery: A Case Report
Authors: darwich ayham , nazha hasan , darwich khaldoun , Alammar Asmaa
Published: October 2023

The aim of this study was to evaluate the clinical and radiographic outcomes of the All-on-4 technique in fully edentulous maxilla using R2GATE software for flapless, computer-guided surgery and immediate loading. Ten adult patients with fully edentulous maxilla, aged between 35 and 60 years, were included in the study between April 2021 and April 2022. The surgical procedure was performed under local anesthesia and followed the All-on-4 approach with immediate loading of implants using a screw-retained provisional acrylic resin prosthesis on the same day. Final prosthesis was delivered four months after the surgery. Clinical and radiographic outcomes were evaluated at four- and twelve-months post-operation. The study reported a 95% implant survival rate using the All-on-4 technique. The mean marginal bone level was recorded at 0.35 mm and 0.66 mm during the 4 and 12-month follow-up periods, respectively. Fixed provisional prosthesis fracture, abutment, and prosthesis screw loosening were the most frequent mechanical complications reported. Within the limitations of this study, the use of computer-guided surgery in the All-on-4 technique seemed to be a promising treatment option with high implant survival rates that may help reduce post-surgical discomfort and mechanical complications in the rehabilitation of the edentulous maxilla.
Study on Optimization Design of Prefabricated ECC/RC Composite Coupled Shear Walls Based on Seismic Energy Dissipation Mechanism
Authors: Yang Jian , Sun Ming , Yao Guohuang , Guo Haizhu , Zhong Rumian
Published: October 2023

The prefabricated ECC/RC combined shear wall structure is an innovative prefabricated composite structure with better seismic performance by using ECC materials with better ductility in the main force and energy consumption regions of the prefabricated reinforced concrete (RC) shear wall structure. The key factors controlling the seismic energy dissipation capacity of this kind of structure are the use regions of ECC in composite coupling beams, use regions of ECC in shear walls, strength of ECC, stirrup ratio of coupling beams, strength of longitudinal reinforcement and so on. The parameters affecting seismic energy consumption are quantified by the finite element analysis method. By comparing and analyzing the load-displacement curves, hysteresis curves, energy dissipation capacity and stiffness degradation of the prefabricated ECC/RC combined shear wall structure specimen under these parameters, it is proposed that the best use regions of ECC is the cast-in-situ zone of the coupling beams with the scope of no more than400 mm at the shear walls’ bottom. The strength grade, the strength grade of longitudinal reinforcement, and the stirrup ratio of coupling beams are suggested design as E40, HRB400 and 0.5%, respectively.
Real-Time Traffic Control and Safety Measures Analysis Using LiDAR Sensor during Traffic Signal Failures
Authors: Ansariyar Alireza
Published: October 2023

Traffic congestion is a persistent and challenging problem in urban areas, leading to increased travel times, fuel consumption, and environmental pollution. Signalized intersections play a pivotal role in regulating traffic flow, and their efficiency has a direct impact on the overall traffic performance of a city. This study investigates the effect of traffic signal in managing traffic volume and reducing congestion and delays at signalized intersections through a comprehensive analysis of existing research, data collection, and simulations.The research begins by analyzing the traffic characteristics by an installed LiDAR sensor at E Cold Spring Ln – Hillen Rd intersection in Baltimore City, MD. When the signal at this intersection stopped working for some hours during a working day in September 2023, the LiDAR recorded vehicle and pedestrian counts, vehicle-vehicle and vehicle-pedestrian conflicts, and jaywalking events conflicts. The research aims to assess the impact of traffic signal failures on traffic flow, congestion, safety (V2V and V2P conflicts), and the frequency of jaywalking events before, during, and after improper performance of the traffic signal. Furthermore, this study explores the factors influencing traffic signal performance, including traffic demand, geometric layout, pedestrian interactions, and the integration of emerging technologies. The analysis results highlighted the importance of signal control systems existence at this intersection that can adjust signal timing in response to changing the real-time traffic conditions.Reduced congestion, minimized delays, and enhanced traffic flow are observed outcomes, contributing to a more sustainable and efficient urban transportation system. However, it is crucial to consider the trade-offs and challenges associated with traffic signal optimization, such as the potential for increased travel times for certain modes of transportation and the need for ongoing maintenance and updates. In conclusion, this study underscores the pivotal role of traffic signals in managing traffic volume and reducing congestion and delays at signalized intersections. Through evidence-based analysis and innovative signal control strategies, urban planners and transportation authorities can work towards creating more efficient, sustainable, and less congested transportation networks. The insights derived from this research can inform policy decisions and guide the development of future traffic management solutions, ultimately leading to improved quality of life in urban areas.
Convolutional Neural Networks for Alzheimer’s Disease
Authors: Hu Jiayao
Published: October 2023

Alzheimer's disease (AD) is a progressive and evolving neurodegenerative disease with an insidious onset that can lead to memory loss and cognitive impairment. There is no effective treatment for this disease. However, early diagnosis plays an important role in treatment planning to slow down its progression, as treatment has the greatest impact in the early stages of the disease. Neurological images obtained through different imaging techniques provide powerful information and help diagnose the disease. With the wide application of deep learning techniques in disease diagnosis, especially the prominence of Convolutional Neural Networks (CNNs) in computer vision and image processing, more and more studies are proposing the use of this algorithm for the diagnosis of AD. In this paper, we first systematically introduce the impact of AD on people, detailing the biomarkers, early clinical symptoms, and risk factors of this disease. Secondly, it goes on to detail the development of CNNs, their form, and methods to help diagnose AD. It is proposed that CNNs can help diagnose AD by analyzing medical imaging data, particularly structural brain scans such as magnetic resonance imaging (MRI) and functional scans such as positron emission tomography (PET). Finally, it is concluded that CNNs are of great importance for the diagnosis of AD and that they are likely to play an increasingly important role in the early detection of the disease, the understanding of disease mechanisms, and ultimately, in the development of effective AD therapies and interventions. CNNs are playing an increasingly important role in the Their potential impact on healthcare emphasizes the importance of continued research and innovation in neural networks and medical imaging.
Safety and Immunogenicity of an In Vivo Muscle Electroporation Delivery System for DNA-hsp65 Tuberculosis Vaccine in Cynomolgus Monkeys
Authors: Lima Monique Ribeiro de , Leandro Ana Cristina C.S. , Souza Andreia Lamoglia , Barradas Marcio Mantuano , Roma Eric Henrique , Fernandes Ana Teresa Gomes , Galdino-Silva Gabrielle , Carvalho Joyce Katiuccia M. Ramos , Marchevisky Renato Sérgio , Coelho Janice M C Oliveira , Gonçalves Eduardo Dantas Casillo , VandeBerg John L. , Silva Celio Lopes , Bonecini-Almeida Maria da Gloria
Published: October 2023

A Bacille Calmette-Guérin (BCG) is still the only licensed vaccine for the prevention of tuberculosis, providing limited protection against Mycobacterium tuberculosis infection in adulthood. New advances in delivery of DNA vaccines by electroporation have been made in the past decade. We evaluated the safety and immunogenicity of DNA-hsp65 vaccine administered by intramuscular electroporation (EP) in cynomolgus macaques. Animals received three doses of DNA-hsp65 at 30-days intervals. We demonstrated that intramuscular electroporated DNA-hsp65 vaccine immunization of cynomolgus macaques was safe, and there were no vaccine-related effects on hematological, renal, or hepatic profiles, compared to the pre-vaccination parameters. No tuberculin skin test conversion nor lung X-ray alteration was identified. Further, low, and transient peripheral cellular immune response and cytokine expression were observed, primarily after the third dose of the DNA-hsp65 vaccine. Electroporated DNA-hsp65 vaccination is safe but provided limited enhancement of peripheral cellular immune responses. Preclinical vaccine trials with DNA-hsp65 delivered via EP may include a combination of plasmid cytokine adjuvant and/or protein prime-boost regimen, to help the induction of a stronger cellular immune response.
Research on Two-Layer Optimal Dispatching Method Considering Mutual Aid of Peak Regulation Resources in Regional Power Grid
Authors: Yang Tianmeng , Lou Suhua , Zhang Meng , Li Yanchun , Feng Wei , Liu Jicheng
Published: October 2023

The power generation structure and load characteristics in different provinces are quite different in China, and the distribution of peak regulating resources and demands is extremely unbalanced. Due to many factors such as low power marketization degree, shortage of peak regulating resources and block of transmission channels, the consumption of new energy is facing greater pressure. In order to improve the mutual aids in regional power grid, this paper proposes a two-layer optimization dispatching model considering the mutual aids of peak regulation resources between each province, and determines the optimal units startup mode and power output in each provinces, thus obtaining all the power supply output arrangements and the technical and economic indicators. Finally, take the actual regional power grid in China as an example, the simulation results show that the proposed model can significantly improve the new energy utilization rate, which verified the effectiveness and feasibility of the proposed model and methods in this paper.
Influence of AC-DC-AC Cycling with Hydrostatic Pressure on Accelerated Protective Performance Test of Glass Flake Epoxy Coating
Authors: Shen Yong , Xu Likun , Liu Yilong , Lu Yonghong , Xu Haibo , Zhao Rongrong , Bai Shuangfeng , Xin Yonglei , Hou Jian , Liu Xuehui , Liu Feng
Published: October 2023

To achieve a fast testing on barrier properties of organic coatings, immersion test, AC-DC-AC test, and coupled test of AC-DC-AC with hydrostatic pressure were conducted in seawater for a glass flake epoxy coating. Electrochemical impedance spectroscopy (EIS) was used to characterize the degradation processes of the coating during the tests, and the surface of the coating was analyzed using optical microscope, scanning electron microscope (SEM) and Fourier transform infrared spectrometer (FTIR). The results show that the periodically cathodic polarization coupled with high hydrostatic pressure can accelerate the degradation of the coating by facilitating the diffusion and uptake of electrolyte and the delamination of the coating. The coupled test method has the largest acceleration due to the synergetic effect of AC-DC-AC and hydrostatic pressure.
Urgensi Pengembangan Kurikum Pendidikan Kedokteran di Era Digitalisasi Layanan Kesehatan
Authors: Herlambang Penggalih Mahardika , Budiyanti Rani Tiyas
Published: October 2023

Pendahuluan:  Teknologi kesehatan mulai masif berkembang dan diterapkan dalam layanan kesehatan seperti pemanfaatan telemedicine, virtual reality, artificial intelligence, maupun data sharing rekam medis elektronik. Dalam penerapan layanan kesehatan berbasis digital, pengetahuan serta skill dokter merupakan hal yang krusial. Penelitian ini bertujuan untuk mendeskripsikan urgensi pengembangan kurikulum pendidikan kedokteran dan model pengembangan pendidikan kedokteran di era digitalisasi layanan kesehatan.

Metode: Penelitian ini merupakan literatur review dengan traditional approach  pada artikel jurnal dalam database GoogleScholar, Proquest, dan Scopus yang terbit pada tahun 2013-2023.

Hasil dan pembahasan: Dalam pendidikan kedokteran, mahasiswa kedokteran diharapkan mengetahui dan mampu memanfaatkan teknologi dalam menunjang layanan kesehatan digital serta memahami isu etik dan legal yang dapat terjadi. Pengembangan kurikulum pendidikan dapat dilakukan dengan melakukan sertifikasi kompetensi, integrasi ke dalam kurikulum atau kolaborasi antar pendidikan kesehatan.
Kesimpulan: Pengembangan kurikulum pendidikan kedokteran di era digitalisasi layanan kesehatan penting untuk dilakukan, pengetahuan maupun skill dalam pemanfaatan layanan kesehatan digital perlu dikembangkan oleh institusi pendidikan kedokteran agar nantinya mutu layanan kesehatan dan keselamatan pasien dapat terjaga.
CLINICAL CASE OF JUVENILE OSSIFYING FIBROMA (JOF) MIMICKING FRONTAL SINUS MUCOCELE
Authors:   Samara State Medical University, ZELEVA OLESYA V. , ZELTER PAVEL M. ,   Samara State Medical University, KOLSANOV ALEKSANDR V. ,   Samara State Medical University, SIDOROV EGOR A. ,   Samara State Medical University, TSOI ALEXANDER V. ,   Samara State Medical University, IVANOVA OLGA V. ,   Samara State Medical University
Published: October 2023

Introduction. Differential diagnosis of neoplasms of the paranasal sinuses does not lose its relevance. Benign formations of the nasal cavity and paranasal sinuses at the beginning of their formation have an asymptomatic course, as well as not always specific signs in diagnostic studies. Computed tomography monitoring of the patient’s condition indicates a favorable prognosis for this patient. Aim. TTo present our own clinical observation of the successful diagnosis and treatment of juvenile ossifying fibroma imitating the mucocele of the frontal sinus. Material and Methods. Patient F., 20 years old, complains of swelling of the upper and lower eyelids of the left eye, a pulsation and pain in the left brow area, discomfort in the projection of the left maxillary sinus, difficulty in breathing. Conducted general clinical, laboratory and instrumental research methods. The article details the history of the disease, clinical manifestations, the results of the examination with pathomorphological examination, conservative and surgical treatment with a description of the operation. Results and discussion. The operation was successful. The patient was discharged on the seventh day after surgery with a clinical diagnosis of juvenile ossifying fibroma. The control CT scan of the paranasal sinuses was performed after 6 months, the content in the left frontal sinus was not determined. Conclusion. TThese data are necessary for practitioners when conducting differential diagnosis, because only the data of the intraoperative picture and the histological verification made it possible to make the correct diagnosis.
NICOTINE ADDICTION AND HORMONAL IMBALANCE IN PREGNANT SMOKERS WITH VARYING DEGREES OF COPD SEVERITY
Authors:   Samara State Medical University, DZYUBAILO ANNA V. , LOTKOV VYACHESLAV S. ,   Samara State Medical University
Published: October 2023

Introduction. The relationship between the degree of nicotine addiction and the functional state of the thyroid gland, the adrenocorticotropic hormone-cortisol system and hormone imbalance in pregnant women smokers with chronic obstructive pulmonary disease was studied. Aim. The aim of the study was to identify and evaluate the relationship between the degree of nicotine dependence and hormonal imbalance of the thyroid gland, cortisol and progesterone in pregnant smokers with varying degrees of chronic obstructive pulmonary disease severity. Material and methods. The study is based on the results of studying changes in blood hormone indicators in 107 smoking women with chronic obstructive pulmonary disease and 136 non-smoking women in different trimesters of pregnancy observed in the antenatal clinic. The control group consisted of healthy non-smoking patients. The diagnosis of chronic obstructive pulmonary disease was made based on the clinical recommendations of the Russian Respiratory Society (2021). The reliability of the results was evaluated using parametric statistics methods. The data obtained were processed using the Statistica 10 program, Microsoft Excel 2010. Results and discussion. The presented data revealed the presence in smokers of a statistically significant and very close relationship between the degree of nicotine dependence and the indicators of the imbalance of the hormones studied in all trimesters of pregnancy, with maximum values in the third trimester.This is due to the fact that it is in the third trimester of pregnancy that the maximum increase in the indicators of all studied hormones occurs, even if at the initial stage of pregnancy the indicator could be less than the lower limit of the reference interval, as in the case of thyroid-stimulating hormone.Conclusion. Nicotine addiction creates environment for the development of endocrine imbalance of thyroid hormones, adrenocorticotropic hormone, cortisol and progesterone.