bluuebunny/crossref_metadata_2025 huggingface dataset:
Achieving two-photon fluorescence bioimaging and photodynamic therapy for D–A conjugated polymers through manipulating twisted intramolecular charge transfer
Authors: Hu Liwen , Liao Shengzu , Hu Tianze , Chen Peiling , Wang Chunxiao , Guo Ting , Yang Renqiang , Ying Lei
Published: November 2023

Two-photon fluorescence bioimaging holds immense promise for deep tissue imaging.
Fluorescent dual-mode sensor for the determination of graphene oxide and catechin in environmental or food field
Authors: Pinilla-Peñalver Esther , Esteban-Arranz Adrián , Contento Ana M. , Ríos Ángel
Published: November 2023

Competitive adsorption of riboflavin and catechin for the GO surface. (A) Riboflavin emission, (B) “turn-off” effect with GO and (C) fluorescence recovery (“turn-on”) by the displacement of riboflavin from the riboflavin−GO platform by catechin.
Thermally activated delayed fluorescence in a mechanically soft charge-transfer complex: role of the locally excited state
Authors: Kalita Kalyan Jyoti , Mondal Saikat , Reddy C. Malla , Vijayaraghavan Ratheesh K.
Published: November 2023

A non-covalent approach to yield highly luminescent thermally activated delayed fluorescent material is explained here. We combine computational screening and crystal engineering principles to obtain mechanically soft, charge transfer complex TADF material.
Poly-pnictogen bonding: trapping halide ions by a tetradentate antimony(iii) Lewis acid
Authors: Beckmann J. Louis , Krieft Jonas , Vishnevskiy Yury V. , Neumann Beate , Stammler Hans-Georg , Mitzel Norbert W.
Published: November 2023

A tetradentate host system with four CC–Sb(C2F5)2 functions binds halide ions in a distorted square planar coordination. Experimental and calculated structures reveal a complex interplay of attractive pnictogen bonding and Coulomb repulsion.
Challenges in the design and synthesis of self-assembling molecules as selective contacts in perovskite solar cells
Authors: Puerto Galvis Carlos E. , González Ruiz Dora A. , Martínez-Ferrero Eugenia , Palomares Emilio
Published: November 2023

We summarize the challenges to design and synthesize self-assembled molecules, discussing their synthetic routes and structural features in relationship to the efficiency of perovskite-based solar cells where they are applied as selective contacts.
An intrinsically stretchable symmetric organic battery based on plant-derived redox molecules
Authors: Kim Nara , Lienemann Samuel , Khan Ziyauddin , Greczynski Grzegorz , Rahmanudin Aiman , Vagin Mikhail , Ahmed Fareed , Petsagkourakis Ioannis , Edberg Jesper , Crispin Xavier , Tybrandt Klas
Published: November 2023

A plant-based, stretchable organic battery was developed by formulating a quaternary biocomposite electrode that possesses high electrical and ionic conductivities, charge storage capacity of 6.8 mA h cm−3, and tensile stretchability over 300%.
Platinum nanoparticle-anchored metal–organic complex nanospheres by a coordination–crystallization approach for enhanced sonodynamic therapy of tumors
Authors: Sun Tangyao , Wang Rui , Lu Wei , Shi Xuzhi , Gao Feng , Wu Tingting , Wang Guoqin , Su Xiaodan , Teng Zhaogang
Published: November 2023

A coordination–crystallization approach was developed to prepare platinum nanoparticle-anchored metal–organic complexes, which show excellent sonodynamic therapy for tumors.
One hour road to high-quality arrays of gold nanoparticles coated with organic ligands
Authors: Degousée Thibault , Neal William G. , Edwards Zach , Singh Saumya , Selvarajah Jotham , Talha-Dean Teymour , Palma Matteo , Schroeder Bob C. , Mol Jan A.
Published: November 2023

A fast and simple approach to assemble 2D and 3D gold nanoparticle-organic ligand arrays with versatile applications.
MoS2 mediated tuning of CuCo2S4–MoS2 nanocomposites for high-performance symmetric hybrid supercapacitors
Authors: Tarek Mohasin , Basith M. A.
Published: November 2023

CuCo2S4–MoS2 nanocomposites were synthesized by optimizing the concentration of MoS2 to enhance electrochemical performance, including storage capacity, energy density, and stability for use as efficient electrode materials in hybrid supercapacitors.
Itaconic acid-enhanced robust ionic conductive elastomers for strain/pressure sensors
Authors: Xia Wenjuan , Yu Yijia , Zhou Chuanjiang , Wang Wenjin , Wu Zhaoqiang , Chen Hong
Published: November 2023

Itaconic acid-enhanced robust ionic conductive elastomers with excellent mechanical strength and good tensile properties were successfully prepared by “one-step” UV irradiation polymerization for strain/pressure sensors.
Symmetrisation of Laminar Flow of Viscous fluid in a Flat Diffuser by Periodic Influence on the Inlet Flow Velocity
Authors: Fedyushkin Alexey , Puntus Arthur
Published: November 2023

The technique for symmetrisation of an asymmetric flow of a viscous incompressible fluid in a flat diffuser by means of a weak periodic vibration effect on the inlet flow is shown in the paper. The results are obtained for a viscous in-compressible fluid by modelling based on the numerical solution of the Navier-Stokes equations.
Mathematical Modelling of Heat Transfer in Pipes with Turbulators in the Laminar Region and in the Transition to Turbulent Flow
Authors: Lobanov Igor , Myakochin Alexander , Neverov Aleksandr
Published: November 2023

The article presents an analysis of mathematical modeling of heat transfer in pipes with turbulators at low Reynolds numbers characteristic of laminar and transient flow modes of heat carriers. The solution of the heat exchange problem for semicircular cross-section flow turbulators based on multi-block computing technologies based on the solution of Reynolds equations closed using the Menter shear stress transfer model and the energy equation (on multi-scale intersecting structured grids) by the factorized finite-volume method is considered. Both local and averaged characteristics of the flow and heat transfer to a pipe with a system of turbulators were obtained, which made it possible to determine the levels of heat exchange intensification for these regime ranges.
Stochastic Mechanism of Shock Disturbances of Rocket Sleigh Supports during High-Speed Track Testing of Aviation Equipment
Authors: Astakhov Sergei , Biryukov Vasily
Published: November 2023

Tests of ballistic aircraft on rail tracks in conditions close to real ones are an economically viable alternative to flight tests. Rocket rail tracks exist in the USA, Canada, France, China and a number of other countries. The article con-siders potentially self-oscillating mechanical systems that have a threshold mechanism for the transition from a noise vibrational stable state to a self-oscillatory one, depending on the mode parameters. An algorithm for estimating the damping coefficient of the harmonic components of a particular mode of a complex process is proposed. As an indicator of energy loss of the oscillatory component during resonant interaction, the value of the density of the power spectrum related to the width of the frequency range is taken. Based on the solution of the Fokker-Planck equation for a stochastic process, estimates of the “drift” and “diffusion” coefficients are obtained. A technique for estimating the state of potentially self-oscillatory systems in the form of a set of probabilistic stochastic characteristics is proposed. According to the experimental data of vibration accelerations for the structural elements of the rocket sled with the test object, according to the proposed method, it is possible to make the contribution of the self-oscillations of the elements, if they are pre-sent in a complex vibration process, and also to make estimates of their vibration strength at resonances.
Design of an External Centrifugal Fan for the Cooling System of an Electrical Machine
Authors: Vavilov Vyacheslav , Ismagilov Flyur , Garipov Iskander , Pronin Egor , Argakov Alexander , Sayakhov Ildus , Yushkova Oksana
Published: November 2023

Air cooling systems for electrical machines still do not lose their relevance. Especially noteworthy here is the aviation industry, in which special attention is paid to the weight and size of all systems, as well as the high density of equipment layout, which can interfere with the implementation of other types of cooling. At such times, only air cooling can be used to ensure the optimum operating temperature of the electrical machine. This article presents a research work on the profiling of blades for an external centrifugal fan of the air-cooling system of an electrical machine. The study is based on 3D numerical calculations using computational fluid dynamics software. Based on the results obtained, a design option was chosen that provides maximum performance.
Features of Designing a Low-Speed Generator for the Accumulation of Gravitational Energy
Authors: Karimov Ruslan , Berlov Mihail , Gorbunov Anton , Senushkin Nikolay , Khakimyanov Marat , Tereshkin Vladimir
Published: November 2023

The article is devoted to the study of increasing the efficiency of low-speed synchronous generators with permanent magnets as part of a system with a gravitational energy storage. Features analysis of the gravitational energy storage devices use was carried out. The shortcomings of pumped-storage power plants in comparison with solid-state storage power plants are considered. Practical significance: the research results were used in the development of low-speed generators with permanent magnets for use in a system with a gravitational energy storage. They can significantly reduce the weight and size of the system as a whole.
Research of the Possibility of Reducing the Weight of Aircraft Onboard Hydraulic System by Application of the Principle of Pressure Boosting at Failure
Authors: Demin Nikolai , Oborin Ivan , Dolgushev Vladimir , Koshkin Alexander
Published: November 2023

In this article explores the possibility of reducing the mass of aircraft’s hydraulic system by a pressure adaptive system. As initial data, the hydraulic system of a promising front-line bomber considered. The determination of the mass of aircraft’s hydraulic system based on the loads perceived by the actuators of the aircraft’s control system, various levels of pressure in the hydraulic system, as well as the force margin of the power actuators of aircraft’s control system. In course of this exploration was made a comparison between of masses of the units of the system with excessive force drivers and the masses of the units of a pressure adaptive hydraulic system. As the result of this comparison, it was found that the use of a pressure-adaptive system can reduce the mass of the designed hydraulic system in the range from 8 to 22,5%.
Implementation of the Methodology of Coupled Modelling of Aerodynamics and Strength to Determine the Onset Speed of the Bending-Torsional Flutter of the Wing Console
Authors: Rymanova Anastasia , Guseva Evgenia , Gunchin Vitaly
Published: November 2023

Time-domain motion simulations using the averaged Navier-Stokes Euler and Reynolds equations were performed for an AGARD 445.6 wing in transonic flow. These simulations were compared with experimental results as well as with the solution in the frequency domain using a method based on the fast Fourier transform. The model matches in frequencies and shapes with experiment.
Theoretical Model of the Methodology of Landing Gear Bracket Design Taking into Account the Adjusted Calculation for Shear Bolt Design
Authors: Titov Egor , Serebryansky Sergey
Published: November 2023

The subject of this paper is the methodology of main landing gear (MLG) design, in particular, the algorithm. The new algorithm considered in this paper is intended for designing modern structures of the MLG using a large number of methods of mathematical modelling of the stress-strain state and maximum autonomy of this process. The initial conditions of this algorithm are the Airworthiness Standards for Transport Category Airplanes (NLG25).
Algorithm for Optimizing the Design Parameters of a Light Transport Aircraft at the Stage of Preliminary Design
Authors: Han Thu Aung
Published: November 2023

In this paper, the optimization of design parameters of light transport aircraft has been carried out. The proposed algorithm, in this paper, provides the calculation of the optimal values of take-off weight and fuel efficiency coefficient taking into account the geometric parameters of the aircraft wing, i.e., aspect ratio and taper ratio using genetic algorithm for multi-objective optimization. The design parameters obtained by the Pareto front are presented and compared with the similar type of aircraft.
Aircraft maintenance and repair using “Mobile complex of unified aircraft repair facilities”
Authors: Ganin Sergey , Istratov Dmitry , Safoklov Boris
Published: November 2023

This paper presents a projected model of aircraft Maintenance Repair and Overhaul (MRO) using “Mobile Complex of Unified Aircraft Repair Facilities” (MCARF). MRO using MCARF is part of the “Before Failure Detection” and “As Conditioned” MRO strategies. The MRO project with MCSM allows building a concept of control of the aircraft life cycle stage - operation in conditions of rapid response to current aircraft repair needs, in the presence of limitations in the required maintenance and repair facilities and the possibility of their rapid delivery.
Advanced Multimodal Interfaces Design Using Speech Control
Authors: Korsun Oleg , Glukhova Emma
Published: November 2023

The paper discusses methods of developing human-machine interfaces for air-craft cabins using voice control. The use of voice control is relevant for promising multimodal aviation interfaces. The features of methods for recognizing voice commands are considered, as well as system design of human-machine interfaces based on methods for analysing crew tasks.
Sensor system for determining the risk of track distortion in the continuous welded rail
Authors: Shigin Andrey , Eremin Nikita , Voronina Svetlana , Sokolov Yaroslav , Oreshenko Tatiana
Published: November 2023

The article considers the peculiarities of load formation in the continuous welded railroad tracks depending on temperature factors, geometric parameters and local curvature. The approach is proposed to determine the risk of distortion of the railway track depending on a combination of force and geometric factors on the ability of the ballast to keep the rail sleepers from moving laterally in relation to the direction of the track.
Analysis and development of brain tumor prediction model using deep neural network
Authors: Chhabra Sumit , Bansal Khushboo
Published: November 2023

The human brain consists of billions of living organisms and is very difficult to decipher because of its complexity. Brain tumors can be deadly, significantly impacting the quality of life and changing everything for patients and their loved ones. In today’s world, brain tumors are a leading cause of death in both children and adults. A high death percentage is caused due to the invasive properties of tumors. But it is inspiring that the survival rate might increase if the diagnosis is performed at the early stage [9]. Accurate detection of the brain tumor at an early stage can prolong the chance of survival of an infected patient [4]. Magnetic Resonance Imaging (MRI) is the most popular imaging technique used today for detecting brain tumors. Deep Neural Network techniques plays an important role in detecting brain tumors. This manuscript offers a brief analysis of studies conducted by various authors in the field of BT categorization and diagnosis from MRI images using Deep Neural Network (DNN). This paper also suggests a method for classifying and identifying brain tumors based on MRI pictures and supporting text using DNN and DWT.
Motion Prediction for Autonomous Vehicle using Deep Learning Architecture and Transfer Learning
Authors: Sathyapriyaa R. , Jacinth Judah Jos , Gayathri K.S. , Saravanan P. , Anbuselvi M.
Published: November 2023

In the current scenario, Autonomous Vehicle (AV) technology has become one of the more futuristic approaches in the automotive industry since it aims to enhance driving safety, driving comfort, and its economy, adding to reduced obstacle collision or traffic accident rate. Motion planning contributes a vital part in autonomous driving, serving as a fundamental building block enabling the AV to move further. Though there are several traditional approaches to implement motion planning, yet challenges remain regarding guaranteed performance and safety under all driving circumstances. With the impressive advancement of deep learning technologies, many researchers have tried to develop end-to-end motion planning approaches using deep learning, which generally employ Deep Neural Networks (DNNs) to directly map the raw sensor data (e.g., point clouds and images) to planned trajectories(e.g., yaw velocity and steering angle). However, accurate motion prediction is still critical for autonomous driving where there’s a transfer learning approach which emphasizes on reusing a trained model for various applications. This could possibly improve the accuracy of motion prediction steadily. Considering this in mind, a transfer learning motion prediction approach for autonomous driving employing the DNN is proposed here, also providing visual element representing the predicted path, by streamlining the use of the toolkit available at hand. The output responses are discussed and compared employing the existing prediction model and the proposed model. The experimental results exhibited improved performance of motion prediction of the proposed transfer learning approach proving better accuracy comparitively with the existing Resnet50 model.
A Constraint Optimization path planning for Dynamic Environment
Authors: Khalil Nadia I. , Abdullah Hadeel N. , Hassnawi Layth A.
Published: November 2023

Optimal path planning is a major challenge for the operation of autonomous unmanned ground vehicles. In dynamic mobile path planning, the goal is to find a collision-free path for a robot from an initial position to a goal position in an environment with obstacles. However, in a dynamic environment, the challenge is bigger than static. In this paper, a modified ABC and an adaptive constraint PSO algorithm are proposed to deal with the dynamic environment; the algorithms were chosen to have a good balance between exploration and exploitation, with a penalty function used to have a collision-free path.
TDOA –FDOA method for tracking of a moving target in a distributed sensor scenario
Authors: George Sherly , Muralikrishna P.
Published: November 2023

Tracking of an underwater target in ocean environment is very important in both military and civilian applications. This paper focuses on the localization and tracking of a moving target by a passive multi-static sonar system using TOA, Time Difference and Frequency Difference of Arrival measurements. An algorithm is developed for an acoustic sensor distributed network of five sensors and an acoustic moving source. TDOAFDOA method is used to track a moving source usingTime Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) measurements, as a closed form solution. The highly nonlinear measurement equations of TDOA and FDOA are first converted into pseudo linear equations. This is achieved by introducing extra parameters. These equations are solved using a weighted least squares (WLS) method. Five distributed stationary receivers are used to track a moving acoustic target. The moving target parameters estimated from the above WLS method are improved by an Unscented Kalman Filter. The mean square errors of these estimates are compared and the results are analyzed.
Predicting the Kidney Diseases by Using Machine Learning Techniques
Authors: Sreenivasa N. , Pawaar Sudesh , Sparsh Shaurya , Ramesh Naidu P.
Published: November 2023

CKD (Chronic Kidney Diseases) is a persistent medical state categorized by the kidney damage that hinders their ability to effectively filter blood. Over time, this progressive disease can result in kidney failure. This project compares the performance of the Support Vectos Machines (SVM), logistic regression and Decision Tree algorithms for predicting the risk of CKD. In this project, the dataset utilized comprises a total of 25 attributes, consisting of 11 numerical features and 14 nominal features. In the training of machine learning algorithms for prediction, all 400 instances from the dataset are utilized. Among these instances, 250 are labeled as CKD cases, indicating the presence of chronic kidney disease, while the remaining 150 instances are categorized as non-CKD cases, denoting the absence of the condition. We utilized the UCI dataset, which underwent preprocessing to handle missing data. Using Python, we trained and built Support Vectors Machines (SVM), Logistic Regression, and Decision Tree models. The accuracy achieved with SVM was 97.3%, Logistic Regression was 93.8%, and Decision Tree yielded 95%, which are notable results.
Efficient and Accurate Optical Signal Processing and Digitization System for High Speed Data Acquisition and Analysis
Authors: Sharma Ishaan , Sharma Kadambari
Published: November 2023

The evolution of optical fiber technology has expanded its utility beyond communication to encompass measurement. Key components include the light source, detection elements, and processing circuits. This paper describes a system for optical signal processing and digitization of light pulses, employing advanced components to enhance data acquisition and analysis performance. The optical signal processing phase employed the LF356N operational amplifier, offering attributes like low bias current, high bandwidth, and rapid settling time. Configured as a transimpedance amplifier, the opamp transformed light signals into corresponding analog voltage signals. Subsequently, the voltage signal underwent digitization using the AD976AN, a 16-bit ADC with advanced features such as high-speed data acquisition and an integrated clock. This ADC was controlled by a Teesny 3.6 board with a fast CPU clock speed of up to 256 MHz, greatly facilitating rapid data analysis and algorithm execution. The hardware circuit underwent meticulous design, simulation, and fabrication, followed by rigorous testing involving various distinct light sources with differing parameters. The digitized and computed parameter values (obtained after subjecting the ADC outputs to the suggested algorithm) exhibited a high degree of similarity in comparison to the observed values on the oscillo-scope.
Implementation of GSM Module based Smart Aquarium Monitoring and Controlling System
Authors: Sohail Mohammed , Venkata Prasad M.G. , Krishna Vamshi S. , Mohan Chandu S. , Lata Tripathi Suman , Bindu Madhavi K.
Published: November 2023

The aquarist feeds the fish in the aquarium tanks which demands a proper setup for maintenance. The challenges faced are alterations in water quality, fish care, temperature regulation, light control, and difficulty in manually monitoring the aquarium’s conditions. Consequently, close monitoring of the physical parameters and improvement of water conditions become essential. As a result, this system utilizes a Global System for Mobile (GSM) module for aquarium observation and control, described real-time sensor capabilities. It conducts temperature checks, detects water pH levels, manages the aeration system, and handles water renewal operations. Based fish aquarium is a fully automated and remotely monitored aquarium, fully capable of operating without human intervention or interaction. The mechanical feed design, web-based fish feeding, and remote monitoring of all parameters are the crucial components of the project. Feed level, water temperature, pH, and water level are some of the parameters. These can be accessible through a phone app or through a website on a computer. This method’s objective is to reduce errors and effort required by humans to manage an aquarium containing aquatic animals. As a result, this system achieves optimal results in terms of accuracy and efficiency.
Modified Bi-directional DC-DC converter For EVs
Authors: Jeraldine Viji A. , Sriramkumar V.
Published: November 2023

This paper introduces a modified bidirectional DC-DC converter with equal current sharing capacity with 4 times the input voltage. This propose circuit has an excellent conversion ratio for use with electric car applications. The proposed system’s capacitive voltage-divider stage provides minimal stress across the switches, allowing the designer to use small resistance. The alternative arrangement of switches increases power density while significantly reducing current ripple and filter sizing. Two phases are described here, interleaved to construct the equal current sharing phenomena. This connection of converter is thoroughly examined, and its characteristics are studied and compared to those of other state-of-the-art bidirectional converters.
LSTM-Based Approach for Remaining Useful Life Prediction of Air Craft Engines
Authors: Upadhyay Rupali , Amhia Hemant
Published: November 2023

Working machinery has a limited lifespan and occasionally breaks down due to obsolete functioning. A maintenance strategy must be used on the scheduled machinery system in order to prevent the worst scenario (failure) and learn more about the machine’s condition. The ideal maintenance technique is predictive maintenance. Predictive maintenance, whose major goal is to forecast hardware component failures by continually monitoring their status, emphasizes the importance of this requirement so that maintenance operations can be planned far in advance. These observations, which span the lifecycle of the corresponding components, are produced by monitoring systems and often take the form of time series and event logs. The fundamental difficulty of data-driven predictive maintenance is analysing this history of observations in order to create prediction models. Machine learning has become widely used in this direction as a result of its ability to extract knowledge from a range of data sources with the least amount of human involvement. This work aims to investigate and deal with difficult issues in aviation connected to foreseeing component breakdowns on board. Scalability is a crucial component of every suggested strategy due to the vast volume of data related to the operation of airplanes.
Les causes infectieuses connues et soupçonnées des avortements de la jument
Authors: Léon-Seck Albertine , Pillon Clément , Lupo Coralie , Bruyas Jean-François
Published: November 2023

Les avortements chez les chevaux représentent un défi sanitaire et économique important pour l’­industrie équine. Les avortements infectieux sont causés dans la plupart des cas par des infections bactériennes, suivies par des virus, des champignons et des parasites. L’HVE-1, le VAE et les agents pathogènes zoonotiques sont considérés comme la principale cause d’avortement infectieux chez les chevaux et requièrent une attention accrue pour prévenir leur propagation. De nouveaux pathogènes abortifs (comme Leptospira, Neospora caninum, Coxiella burnetii, Chlamydophila abortus, etc.) ont été confirmés chez les équidés par comparaison avec des pathogènes déjà connus pour leurs propriétés abortives chez l’Homme ou chez d’autres espèces. Malgré un nombre croissant d’autopsies et l’­amélioration continue des outils de diagnostic, de gestion et de surveillance, 20 à 40 % des causes d’avortement équin restent inconnues selon les pays. Pour augmenter la probabilité d’un diagnostic définitif dans les cas d’avortement et de mortinatalité chez les chevaux, de nouvelles approches diagnostiques sont nécessaires que les outils de séquençage de dernière génération permettent d’envisager.
Improved Hybrid Collaborative Fitering Algorithm Based on Spark Platform
Authors: YOU Zhen , HU Hongwen , WANG Yutao , XUE Jinyun , YI Xinwu
Published: November 2023

An improved Hybrid Collaborative Filtering algorithm (H-CF) is proposed, addressing the issues of data sparsity, low recommendation accuracy, and poor scalability present in traditional collaborative filtering algorithms. The core of H-CF is a linear weighted hybrid algorithm based on the Latent Factor Model (LFM) and the Improved Item Clustering and Similarity Calculation Collaborative Filtering Algorithm (ITCSCF). To begin with, the items are clustered based on their attribute dimension, which accelerates the computation of the nearest neighbor set. Subsequently, H-CF enhances the formula for scoring similarity by penalizing popular items and optimizing unpopular items. This improvement enhances the rationality of scoring similarity and reduces the impact of data sparseness. Furthermore, a weighting function is employed to combine the various improved algorithms. The balance factor of the weighting function is dynamically adjusted to attain the optimal recommendation list. To address the real-time and scalability concerns, the algorithm leverages the Spark big data distributed cluster computing framework. Experiments were conducted using the public dataset MovieLens, where the improved algorithm's performance was compared against the algorithm before enhancement and the algorithm running on a single machine. The experimental results demonstrate that the improved algorithm outperforms in terms of data sparsity, recommendation personalization, accuracy, recall, and efficiency.
Social Media für Heilpraktiker
Authors: Pietruck Vivien
Published: November 2023

Während Facebook als Allround- und Gruppenplattform vor allem (auch ältere) Erwachsene anspricht, richten sich bild- und videobetonte Netzwerke wie Instagram, Pinterest und TikTok eher an ein jüngeres Publikum, wohingegen Xing und LinkedIn die berufliche Vernetzung in den Fokus stellen. Wer die jeweiligen Algorithmen nutzt, mehrere Plattformen synchron bestückt und dies durch Social-Media-Advertising ergänzt, kann seine Reichweite deutlich erhöhen. Der Social-Media-Auftritt einer Heilpraktikerpraxis erfordert täglichen Arbeitseinsatz sowie gründliche Überlegungen und Vorbereitungen hinsichtlich Rechtskonformität, Zielgruppe, geeigneter Plattform, Aufwand und Nutzen.
Sucht im Alter
Authors: Holzbach Rüdiger
Published: November 2023

In den meisten Kulturen ist es üblich, gegenüber dem Alter
Achtung und Respekt zu zeigen. Aber wie geht das bei einem suchtkranken alten
Menschen, der so gar nicht dem Bild der „netten Oma“ oder des
„netten Opas“ entspricht? Die nachfolgenden Ausführungen
zu Sucht als neurobiologische Erkrankung beziehen sich im Wesentlichen auf das
Thema Alkohol und den Bereich der Schlaf- und Beruhigungsmittel bei der
Altersgruppe ab 65 Jahren.
Case Series of Reproductive Outcomes after Surgical Correction of Obstructed Hemivagina in OHVIRA
Authors: Bunnell Megan E. , Cipres Danielle T. , Laufer Marc R.
Published: November 2023

Obstructed hemivagina and ipsilateral renal anomaly (OHVIRA) is a rare congenital developmental syndrome manifested by uterine duplication, lower genital tract obstruction, and unilateral renal anomaly. Literature on reproductive outcomes in this patient population is limited. The aim of this study is to describe obstetric outcomes after surgical correction of obstructed hemivagina in a longitudinal cohort of patients with a diagnosis of OHVIRA. All cases of OHVIRA presenting to a single tertiary care children's hospital from 1990 to 2021 were retrospectively reviewed. Three cases demonstrating a variety of clinically important reproductive outcomes are described in detail including risks such as retained products, endometritis, preterm labor, and malpresentation. Understanding the reproductive outcomes associated with this diagnosis is important for practitioners seeking to counsel and care for patients with this diagnosis. This case series demonstrates a wide array of potential gynecologic and obstetric risks, though ultimately with successful term and near-term pregnancies.
Reverse Wafer Procedure
Authors: Ozcelik Ismail Bulent , Cavit Ali , Yuceturk Aydin
Published: November 2023

Purpose This study aimed to present the results of an alternative technique for treating ulnar impaction syndrome, the “reverse wafer procedure,” and assess the mid-term clinical outcomes of patients treated with this technique.

Methods A retrospective evaluation was conducted on 14 patients who underwent the reverse wafer procedure for ulnar impaction syndrome between 2013 and 2020. The inclusion criteria for the study were persistent ulnar-sided wrist pain, even after a minimum of 3 months of nonoperative treatment, the presence of a chondral lesion on the lunate, and an intact triangular fibrocartilage complex (TFCC) based on arthroscopic evaluation. Postoperative clinical and subjective functional outcomes were assessed using measures such as wrist range of motion (ROM), grip strength, the Turkish version of the quick disabilities of the arm, shoulder, and hand questionnaire (Quick DASH), and pain levels measured on a visual analog scale (VAS) and were compared with preoperative values. Patient satisfaction was also evaluated postoperatively.

Results The mean follow-up period was 42.2 months (range: 24–68 months). Postoperatively, none of the patients experienced any restriction in ROM. Grip measurements significantly increased after the surgery (p = 0.003). Preoperatively, the patients had a grip strength of 41.14 kg (range 28–48 kg), which improved to 44 kg (range 30–52 kg) postoperatively. Postoperative VAS values and QDASH scores significantly decreased compared with the preoperative values (p < 0.001, p = 0.001). The mean VAS score decreased from 6.1 (range 4–8) preoperatively to 0.9 (range 0–5) postoperatively. The mean Quick DASH score decreased from 49.44 (range 25–68.3) preoperatively to 10.13 (range 3.3–36) postoperatively. When asked about their satisfaction with the operation, 13 out of 14 patients reported being highly satisfied with the results.

Conclusions The reverse wafer procedure presents an alternative treatment option for ulnar impaction syndrome in cases where the TFCC is intact. The mid-term results of this described technique are promising. However, further comparative studies with longer follow-ups are necessary to support these findings.

Level of Evidence IV Therapeutic.
A framework for developing team science expertise using a reflective-reflexive design method (R2DM)
Authors: Lotrecchiano Gaetano R. , Bennett L. Michelle , Vovides Yianna
Published: November 2023

Effective integration and implementation of knowledge in research are dependent on team science expertise grounded in collaboration principles and techniques that advance individual and group scientific agendas. The Science of Team Science (SciTS) provides evidence-based research and best practices that strive to develop scientists’ collaborative skills so that they can work across disciplinary boundaries while developing strong and diverse teaming relationships. Identifying the motivations of those involved in collaborative teaming can contribute to maximizing team effectiveness and applying the knowledge emerging from understanding these to shape teams’ adaptation of a shared mutual learning mindset as a core tenet of scientific teamwork. In addition, surfacing motivations has the potential of helping team members examine their own needs in relation to their scientific and career goals. In this paper we draw from the domains of the Motivation Assessment for Team, Readiness, Integration, and Collaboration (MATRICx) framework, Maslow’s Hierarchy of Needs motivational theory, and The Team Effectiveness Model for Science (TEMS) to develop a Reflective-Reflexive Design Method (R2DM) that focuses on the development of intra-personal attributes within the context of a team. Approaching expertise development from this design method invites individual reflection in the context of group reflexivity to serve as the cornerstone of deep team science expertise. We used a design thinking approach to identify a framework that merges individual reflection with group reflexivity. The core questions we asked are: (i) What constitutes expertise to succeed in science teams? and (ii) How might we approach the design of learning engagements that enable the development of the needed expertise?
Research on the identification method of key parts of ship target based on contour matching
Authors: Qu Jianjing , Luo Yasong , Chen Weiyi , Wang Haoxuan
Published: November 2023

A template matching method based on the contour fitting heading angle is proposed for the problem of identifying key parts of maritime ships. First, unmanned boats are used as hypothetical enemy targets to extract outer contours, build a matching template library, and establish relevant kinematic models. Based on the requirements of timeliness and relativism, the judgment conditions for fitting angles and heading angles are given. A traversal fitting framework is established based on the structural similarity index algorithm, and the target matching template is matched based on precise matching results. A motion space that combines position correlation, electro-optical detection distance, and target pitch decoupling is designed to obtain real heading angles. Finally, based on the relative position information of the template’s key parts, the key parts of the target are matched, and the normalized output matching image is obtained. The experiment shows that this method can achieve recognition instructions in real seaways where key parts of the target cannot be extracted due to the large amount of water mist, and it has advantages in timeliness, accuracy, and applicability compared with other algorithms. This method has strong robustness and provides a reference for the identification of key parts of various types of ship targets.
Na+/Ca2+ exchange in enamel cells is dominated by the K+-dependent NCKX exchanger
Authors: Souza Bomfim Guilherme Henrique , Mitaishvili Erna , Schnetkamp Paul P.M. , Lacruz Rodrigo S.
Published: November 2023

Calcium (Ca2+) extrusion is an essential function of the enamel-forming ameloblasts, providing Ca2+ for extracellular mineralization. The plasma membrane Ca2+ ATPases (PMCAs) remove cytosolic Ca2+ (cCa2+) and were recently shown to be efficient when ameloblasts experienced low cCa2+ elevation. Sodium–calcium (Na+/Ca2+) exchange has higher capacity to extrude cCa2+, but there is limited evidence on the function of the two main families of Na+/Ca2+ exchangers in enamel formation. The purpose of this study was to analyze the function of the NCX (coded by SLC8) and the K+-dependent NCKX (coded by SLC24) exchangers in rat ameloblasts and to compare their efficacy in the two main stages of enamel formation: the enamel forming secretory stage and the mineralizing or maturation stage. mRNA expression profiling confirmed the expression of Slc8 and Slc24 genes in enamel cells, Slc24a4 being the most highly upregulated transcript during the maturation stage, when Ca2+ transport increases. Na+/Ca2+ exchange was analyzed in the Ca2+ influx mode in Fura-2 AM–loaded ameloblasts. We show that maturation-stage ameloblasts have a higher Na+/Ca2+ exchange capacity than secretory-stage cells. We also show that Na+/Ca2+ exchange in both stages is dominated by NCKX over NCX. The importance of NCKX function in ameloblasts may partly explain why mutations in the SLC24A4 gene, but not in SLC8 genes, result in enamel disease. Our results demonstrate that Na+/Ca2+ exchangers are fully operational in ameloblasts and that their contribution to Ca2+ homeostasis increases in the maturation stage, when Ca2+ transport need is higher.
Final report, ongoing key comparison BIPM.QM-K1, ozone at ambient level, comparison with ISCIII, May 2023
Authors: Viallon Joële , Idrees Faraz , Moussay Philippe , Wielgosz Robert , Nunez-Corcuera Beatriz , Santos-Alves Saúl Garcia Dos
Published: November 2023

Main text

As part of the ongoing key comparison BIPM.QM-K1, a comparison has been performed between the ozone national standard of the Instituto de Salud Carlos III (ISCIII) and the common reference standard of the key comparison, maintained by the Bureau International des Poids et Mesures (BIPM). The instruments have been compared over a nominal ozone amount-of-substance fraction range of 0 nmol mol−1 to 500 nmol mol−1.

To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.

The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Simulation study on influence of oxygen concentrations on atmospheric-pressure streamer in oxygen-rich nitrogen–oxygen mixture
Authors: Wei Zhenyu , Komuro Atsushi , Ono Ryo
Published: November 2023

This study aims to investigate the behaviour of positive streamer discharge in various

N
2

/

O
2

mixtures with different

O
2

concentrations via two-dimensional simulations. The proposed model considers the effects of photoionisation caused by the photons generated by excited oxygen atoms

O
I

, which enables the simulation of streamers in oxygen rich conditions. The simulation results indicate that the propagation velocity and diameter of the streamer increase with the oxygen concentration, while the emission intensity decreases. The result conforms to the experimental results of our previous work. Moreover, the simulation results suggest that changes in the ionisation rate caused by variations in the oxygen concentration affect the streamer propagation, while the impact of photoionisation is limited.
Investigation on the effect of annealing period on the structural and optical properties of ZnO thin films prepared using a polymer precursor
Authors: Mathew Jijoy. P.
Published: November 2023

Numerous synthesis strategies including sputtering,molecular beam epitaxy,chemical vapour deposition, pulsed laser deposition etc., have been reported to grow high quality ZnO thin films[1]. However among these mounted synthesis strategies, simple and price powerful path to develop ZnO thin films by way of usage of cheaper, non poisonous and environmentally benign precursors are nevertheless the important issues. This work advise a simple and novel technique to the fabrication of ZnO thin films with the aid of poly vinyl alcohol (PVA) as precursor. This article also investigate the impact of annealing period on the structural and optical properties of grown films by analyzing XRD, UV absorption and photo luminescence spectra. The XRD pattern reveals poly crystalline hexagonal wurtzite structure. The particle size and stress values varies with changes in annealing period. The values of UV absorption spectra are utilized to plot Tauc plot to get the band gap of the films. The band gap shows significant decrease from 3.35ev to 3.10ev with increase in annealing period. The films shows good transmittance >75% and transmittance increase as the annealing parameter increases. The PL spectra have peaks in UV and visible regions,. the mechanism behind these emission peaks are also discussed.
Dispersion stability analysis of copper sulphide nanoparticles in different medium
Authors: Mukherjee Bodhoday , Okram Gunadhor Singh
Published: November 2023

Nanoparticles (NPs) of covellite CuS have been synthesised using a modified polyol method at 160ºC - 165ºC without adding any extra surfactant. These NPs were charecterized by X-ray diffraction (XRD), Raman spectroscopy, Field Emission Scanning Electron Microscope (FESEM), Energy Dispersive Analysis of X-ray (EDAX), Zeta potential and Dynamic Light Scattering (DLS) techniques. XRD data and three Raman modes confirm P63/mmc space group and hexagonal crystal structure of CuS NPs. EDAX data of Cu:S was slight differed from nominal 1:1 ratio due to extra S taken in synthesis. FESEM images show sheet-like NPs. The zeta potential (ξ) data analysis shows that the stability of the NPs is dependent on the dispersion medium, with high stability observed above pH 8.93 in an acidic medium. At pH 10.95, a highest ξ value of -37.64 mV is recorded in de-ionized water (DIW), while the nanoparticles are found to be unstable in ethanol and propanol as dispersion mediums. According to the hydrodynamic diameter (HD) data, the particles tend to agglomerate more quickly in ethanol and propanol compared to DIW. These findings are expected to be useful in various applications such as pigments in paints, batteries, pharmaceuticals, ceramics, and waste water treatment.
Radiation-temperature dependence of water at microwaves
Authors: Gavrilin S N
Published: November 2023

Pure water radiation-temperature dependence at wavelength 8 mm in the temperature range of 30-50 °C has been experimentally investigated. Measurements were made with the microwave radiometer with central frequency 37.5 GHz (wavelength 8 mm). The absolute method of measuring the intensities of distributed radiation was used. A horn with a 30x30 mm opening was used as an antenna. Calibration of the intensity of the received radiation was carried out by its own radiation of a black body at different temperatures. The equipment had a sensitivity (fluctuation threshold) 0.2 K at a time constant τ = 1 sec. An increment of the radio-brightness contrast is about 3 K in this temperature range. The water radio-emission depends non-linearly on the kinetic temperature. It was measured, that effective temperature of the skin-depth layer increases from 0.28 up to 0.4 °C per degree of water heating. It was shown, that the radiation temperature of the water surface for the 8 mm waves and temperature range 30-50 °C is determined not by the bulk kinetic water temperature, but by the effective temperature of the skin-depth layer formed under the influence of heat exchange with the atmosphere.
The conduction mechanism and dielectric behavior of cadmium bismuth silicate glasses
Authors: Bala R , Agarwal A , Sanghi S , Gaur S
Published: November 2023

By using the traditional melt-quench method, cadmium bismuth silicate glasses with composition; 20CdO·(80-x)Bi2O3·xSiO2 (10≤x≤50 mol%) were fabricated. Impedance spectroscopy was used to examine the conduction and relaxation mechanisms in prepared glasses over the range of frequency 10Hz–7MHz and temperature 473–703 K. Values of dc conductivity (σdc), the activation energy for dc conduction (Edc), frequency exponent parameter (s), and relaxation energy (Eτ) were extracted from the experimental impedance data. The conductivity spectra follow Jonscher’s power law and the obtained conductivity values were found to be compositional dependent ascribed to the existence of mixed former effect in understudy glasses. The frequency exponent parameter increases with frequency and approaches unity at higher frequencies. For each glass composition, almost equal values of Eτ and Edc show that the charge carriers have to cross a similar energy barrier in relaxation and conduction processes. The exact overlaying of normalized electrical modulus plots as a single master curve signifies temperature-independent dynamical processes at various frequencies.
Investigation on the characterization of hot extruded AA7075 based metal matrix composites developed by powder metallurgy
Authors: Babu B , Meinathan S , Manikandan P , Lingeswaran P , Nanthakumar S , Yasminebegum A , Girimurugan R
Published: November 2023

Higher compressive stress and greater density after extrusion contribute to stronger bonds, which in turn improves mechanical and tribological properties were analyzed. In order to minimize manufacturing defects, a cosine-profiled die with mathematically precise contours was used in the thermo mechanical process. It was requested that more mechanical characterization tests, such as a compression testing and a three-point bending test, be directed to better define the material’s density, hardness, and ductility. Before and after extrusion, the prepared AMCs were put through pin-on-disc (POD) wear testing, during which the RPM of the counter disc, load (N) and track diameter (mm) were varied to simulate different two-body dry sliding wear behaviors. Hot extrusion of AA7075 aluminium matrix composites (AMCs) was investigated for its effect on the materials’ mechanical and tribological properties. These AMCs were manufactured by controlled atmospheric sintering, powder metallurgy and double axial cold compaction. The finely dispersed graphite (Gr) particles shear off at the tribo-surface, creating a solid lubricant that slows the rate of wear. The wear mechanism was found to be more complex when the loading and sliding velocities were increased.