bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and application of random forest regression soft sensor model for treating domestic wastewater in a sequencing batch reactor
Authors: Cheng Qiu , Chunhong Zhan , Qianglin Li
Published: June 2023

Small-scale distributed water treatment equipment such as sequencing batch reactor (SBR) is widely used in the field of rural domestic sewage treatment because of its advantages of rapid installation and construction, low operation cost and strong adaptability. However, due to the characteristics of non-linearity and hysteresis in SBR process, it is difficult to construct the simulation model of wastewater treatment. In this study, a methodology was developed using artificial intelligence and automatic control system that can save energy corresponding to reduce carbon emissions. The methodology leverages random forest model to determine a suitable soft sensor for the prediction of COD trends. This study uses pH and temperature sensors as premises for COD sensors. In the proposed method, data were pre-processed into 12 input variables and top 7 variables were selected as the variables of the optimized model. Cycle ended by the artificial intelligence and automatic control system instead of by fixed time control that was an uncontrolled scenario. In 12 test cases, percentage of COD removal is about 91. 075% while 24. 25% time or energy was saved from an average perspective. This proposed soft sensor selection methodology can be applied in field of rural domestic sewage treatment with advantages of time and energy saving. Time-saving results in increasing treatment capacity and energy-saving represents low carbon technology. The proposed methodology provides a framework for investigating ways to reduce costs associated with data collection by replacing costly and unreliable sensors with affordable and reliable alternatives. By adopting this approach, energy conservation can be maintained while meeting emission standards.
Raw water biofiltration for surface water manganese control
Authors: Earle Martin R. , Stoddart Amina K. , Gagnon Graham A.
Published: June 2023

Manganese (Mn) control in surface water systems is a challenge for the drinking water industry, especially through a sustainability framework. Current methods for removing manganese from surface water use strong oxidants that embed carbon and can be expensive and harmful to human health and the environment. In this study, we used a simple biofilter design to remove manganese from lake water, without conventional surface water pre-treatments. Biofilters with aerated influent removed manganese to concentrations below 10 µg/L when receiving influent water containing > 120 µg/L of dissolved manganese. Manganese removal was not inhibited by high iron loadings or poor ammonia removal, suggesting that removal mechanisms may differ from groundwater biofilters. Experimental biofilters also achieved lower effluent manganese concentrations than the full-scale conventional treatment process, while receiving higher manganese concentrations. This biological approach could help achieve sustainable development goals.
Fast and precise chiroptical spectroscopy by photoelectron elliptical dichroism
Authors: Comby Antoine , Descamps Dominique , Petit Stéphane , Valzer Emmanuel , Wloch Morgan , Pouységu Laurent , Quideau Stéphane , Bocková Jana , Meinert Cornelia , Blanchet Valérie , Fabre Baptiste , Mairesse Yann
Published: June 2023

We investigate the photoionization of 16 chiral molecules by elliptical femtosecond pulses in an optical cavity. The photoelectron dichroism is highly sensitive to molecular structure and enables precise measurements of enantiomeric excess.
Methane activation with nitric oxide at low temperatures on supported Pt catalysts: effects of the support
Authors: Suganuma Nobuya , Ghampson I. Tyrone , Miura Hiroki , Murakami Junichi , Bando Kyoko K. , Kodaira Tetsuya , Yamasaki Tatsuya , Takagaki Atsushi , Ishihara Tatsumi , Shishido Tetsuya
Published: June 2023

Pt supported on various metal oxides was examined for the activation of CH4with NO at low temperatures and atmospheric pressure.
Electrochemical activation-induced Co–Ni–Mo–O nanosheets with low crystallinity and abundant active sites for efficient and ultra-stable hydrogen generation
Authors: Guo Kailu , Jia Jinzhi , Wu Haixia
Published: June 2023

The in situ electrochemical reduction activation of Co–Ni–Mo–O nanosheets simultaneously realizes the transformation of active structures and the increase of surface roughness, thus significantly improving the electrocatalytic HER performance.
Techno-economic analysis and life cycle assessment for catalytic fast pyrolysis of mixed plastic waste
Authors: Yadav Geetanjali , Singh Avantika , Dutta Abhijit , Uekert Taylor , DesVeaux Jason S. , Nicholson Scott R. , Tan Eric C.D. , Mukarakate Calvin , Schaidle Joshua A. , Wrasman Cody J. , Carpenter Alberta C. , Baldwin Robert M. , Román-Leshkov Yuriy , Beckham Gregg T.
Published: June 2023

This study analyzes catalytic fast pyrolysis as a conversion technology for mixed plastic waste, highlighting key economic and environmental drivers and potential opportunities for process improvements.
Correction: Elucidating a dissolution–deposition reaction mechanism by multimodal synchrotron X-ray characterization in aqueous Zn/MnO2 batteries
Authors: Kankanallu Varun R. , Zheng Xiaoyin , Leshchev Denis , Zmich Nicole , Clark Charles , Lin Cheng-Hung , Zhong Hui , Ghose Sanjit , Kiss Andrew M. , Nykypanchuk Dmytro , Stavitski Eli , Takeuchi Esther S. , Marschilok Amy C. , Takeuchi Kenneth J. , Bai Jianming , Ge Mingyuan , Chen-Wiegart Yu-chen Karen
Published: June 2023

Correction for ‘Elucidating a dissolution–deposition reaction mechanism by multimodal synchrotron X-ray characterization in aqueous Zn/MnO2 batteries’ by Varun R. Kankanallu et al., Energy Environ. Sci., 2023, https://doi.org/10.1039/D2EE03731A.
Characterisation of hydrodynamic trapping in microfluidic cross-slot devices for high strain rate applications
Authors: George Aravind , Akbaridoust Farzan , Zainal Abidin Nurul A. , Nesbitt Warwick S. , Marusic Ivan
Published: June 2023

The maximum strain rate at the stagnation point of the cross-slot channel relies on the control algorithm's time-delay and pixel resolution. This framework holds great potential for carrying out single cell analysis, as demonstrated in this study.
Effects of Lewis acid strength of monovalent coinage metals and zeolite frameworks on catalytic CO2 cycloaddition with ethylene oxide: A DFT study
Authors: Sangthong Winyoo , Sirijaraensre Jakkapan
Published: June 2023

The synergistic effect of acid site and zeolite framework type makes Au(i)-ZSM-5 an excellent catalyst for CO2 cycloaddition with ethylene oxide.
Assessing hypothalamic pituitary gonadal function in reproductive disorders
Authors: Koysombat Kanyada , Dhillo Waljit S. , Abbara Ali
Published: June 2023

Reproductive conditions secondary to disorders of the hypothalamic–pituitary–gonadal (HPG) axis are common and are associated with important health implications and considerable psychosocial impact. Basal and dynamic tests enable interrogation of individual components of the HPG axis, facilitating diagnosis and understanding of the pathophysiology of reproductive disorders. Onset of puberty is controlled by hypothalamic gonadotrophin-releasing hormone (GnRH) neuronal function. To date, a dynamic test of hypothalamic function is not yet available. Therefore, accurate differentiation of pubertal disorders such as constitutional delay of growth and puberty (CDGP) and congenital hypogonadotrophic hypogonadism (CHH) as causes of delayed puberty is challenging due to similar clinical presentations and hormonal profiles. Likewise, although the two commonest reproductive disorders in women, polycystic ovary syndrome (PCOS) and functional hypothalamic amenorrhoea (FHA) have disparate hypothalamic function, oligo/amenorrhoea frequently poses a diagnostic conundrum owing to the overlap in the criteria used to define both conditions. This review aims to describe pubertal and reproductive disorders secondary to pathologies affecting the HPG axis. Challenges encountered in clinical practice in differentiating pubertal and reproductive conditions are reviewed in conjunction with the utility of baseline and dynamic endocrine tests to interrogate specific components of the HPG axis. We also highlight putative hypothalamic, pituitary, and gonadal markers in development that could improve the diagnosis of patients presenting with disorders of puberty or reproduction.
Precise asymmetric power‐splitter (1.7:1) by using nano‐pixel waveguide
Authors: Shimamura Yuta , Jiang Haisong , Kuwahata Ryota , Kim Younjin , Yamauchi Kensei , Matsuo Ryoma , Hamamoto Kiichi
Published: June 2023

Power‐splitter is one of the fundamental elements for photonic integrated circuits. Y‐junction, multi‐mode‐interference (MMI), and directional coupler may have been widely used as power splitter; however, the design theory to realize precise asymmetric splitting ratio is not well established. In addition, the device length is relatively long and less robustness in general. To realize a power splitter with a desired splitting ratio, the authors used a nano‐pixel structure. Nano‐pixel structures consist of an array of pixels in which the rectangular waveguide region is divided into many nano‐scale regions. The implemented devices were realized in an area of 3.2 μm × 3.4 μm. The device exhibited precise asymmetric splitting of 1.7:1 successfully at 1550 nm.
Research on modulation recognition method of multi‐component radar signals based on deep convolution neural network
Authors: Wan Chenxia , Si Weijian , Deng Zhian
Published: June 2023

Modulation recognition of single‐component radar signals has been widely studied in the fewer years. Meanwhile, as the electromagnetic environment in the actual battlefields is ever‐increasingly complicated, the demand for the modulation recognition of multi‐component radar signals is also increasing. However, the modulation recognition of single‐component radar signals performs poorly on multi‐component radar signals. To address this problem, a novel modulation recognition method of multi‐component radar signals based on the deep convolutional neural network with a convolutional block attention module (DCNN‐CBAM) is proposed, and the network architecture mainly includes mobile‐inverted bottleneck convolution (MBConv), Fused‐MBConv, and convolutional block attention module (CBAM). An adaptive optimization algorithm Adam with weighted gradient and dynamic bound is proposed for accelerating convergence speed and generalisation performance. The proposed method can not only recognise dual‐component and three‐component radar signals but also four‐component radar signals. The experimental results demonstrate that the recognition accuracies of all radar signals modulation types are more than 83.57% at −8 dB for dual‐component radar signals, 67.41% for three‐component radar signals, and 57.95% for four‐component radar signals, which verify the better recognition performance of DCNN‐CBAM for multi‐component radar signals. The recognition accuracy of the proposed DCNN‐CBAM for dual‐component radar signals can be up to 95.95% at −6 dB, which shows superior recognition performance over the residual method. This work provides an essential guidance for enhancing the recognition performance of multi‐component radar signals.
Trade-offs in high-contrast integral field spectroscopy for exoplanet detection and characterisation
Authors: Landman R. , Snellen I. A. G. , Keller C. U. , N’Diaye M. , Fagginger-Auer F. , Desgrange C.
Published: June 2023

Context. Combining high-contrast imaging with medium- or high-resolution integral field spectroscopy has the potential to boost the detection rate of exoplanets, especially at small angular separations. Furthermore, it immediately provides a spectrum of the planet that can be used to characterise its atmosphere. The achievable spectral resolution, wavelength coverage, and FOV of such an instrument are limited by the number of available detector pixels.

Aims. We aim to study the effect of the spectral resolution, wavelength coverage, and FOV on the detection and characterisation potential of medium- to high-resolution integral field spectrographs with molecule mapping.

Methods. The trade-offs are studied through end-to-end simulations of a typical high-contrast imaging instrument, analytical considerations, and atmospheric retrievals. The results are then validated with archival VLT/SINFONI data of the planet β Pictoris b.

Results. We show that molecular absorption spectra generally have decreasing power towards higher spectral resolution and that molecule mapping is already powerful for moderate resolutions (R ≳ 300). When choosing between wavelength coverage and spectral resolution for a given number of spectral bins, it is best to first increase the spectral resolution until R ~ 2000 and then maximise the bandwidth within an observing band. We find that T-type companions are most easily detected in the J/H band through methane and water features, while L-type companions are best observed in the H/K band through water and CO features. Such an instrument does not need to have a large FOV, as most of the gain in contrast is obtained in the speckle-limited regime close to the star. We show that the same conclusions are valid for the constraints on atmospheric parameters such as the C/O ratio, metallicity, surface gravity, and temperature, while higher spectral resolution (R ≳ 10 000) is required to constrain the radial velocity and spin of the planet.
Diverse origins for non-repeating fast radio bursts: Rotational radio transient sources and cosmological compact binary merger remnants
Authors: Zhang Zi-Liang , Yu Yun-Wei , Cao Xiao-Feng
Published: June 2023

A large number of fast radio bursts (FRBs) detected with the CHIME telescope have enabled investigations of their energy distributions in different redshift intervals, incorporating the consideration of the selection effects of CHIME. As a result, we obtained a non-evolving energy function (EF) for the high-energy FRBs (HEFRBs) of energies E ≳ 2 × 1038 erg, which takes the form of a power law with a low-energy exponential cutoff. On the contrary, the energy distribution of the low-energy FRBs (LEFRBs) obviously cannot be described by the same EF. Including the lowest dispersion measure (DM) samples, the LEFRBs are concentrated towards the Galactic plane and their latitude distribution is similar to that of Galactic rotational radio transients (RRATs). These indications hint that LEFRBs might compose a special type of RRATs, with relatively higher DMs and energies (i.e., ∼1028 − 31 erg for a reference distance of ∼10 kpc if they belong to the Milky Way). Finally, we revisit the redshift-dependent event rate of HEFRBs and confirm that they could be produced by the remnants of cosmological compact binary mergers.
The effect of heavy ions on the dispersion properties of kinetic Alfvén waves in astrophysical plasmas
Authors: Villarroel-Sepúlveda N. , López R. A. , Moya P. S.
Published: June 2023

Context.Spacecraft measurements have shown Kinetic Alfvén Waves propagating in the terrestrial magnetosphere at lower wave-normal angles than predicted by linear Vlasov theory of electron-proton plasmas. To explain these observations, it has been suggested that the abundant heavy ion populations in this region may have strong, non-trivial effects that allow Alfvénic waves to acquire right-handed polarization at lower angles with respect to the background magnetic field, as in the case of typical electron-proton plasma.

Aims.We study the dispersion properties of Alfvénic waves in plasmas with stationary phase-space distribution functions with different heavy ion populations. Our extensive numerical analysis has allowed us to quantify the role of the heavy ion components on the transition from the left-hand polarized electromagnetic ion-cyclotron (EMIC) mode to the right-hand polarized kinetic Alfvén wave (KAW) mode.

Methods.We used linear Vlasov-Maxwell theory to obtain the dispersion relation for oblique electromagnetic waves. The dispersion relation of Alfvén waves was obtained numerically by considering four different oxygen ion concentrations ranging between 0.0 and 0.2 for all propagation angles, as a function of both the wavenumber and the plasma beta parameter.

Results.The inclusion of the heavy O+ions is found to considerably reduce the transition angle from EMIC to KAW both as a function of the wave number and plasma beta. With increasing O+concentrations, waves become more damped in specific wavenumber regions. However, the inclusion of oxygen ions may allow weakly damped KAW to effectively propagate at smaller wave-normal angles than in the electron-proton case, as suggested by observations.
Design and Analysis of Two Wheeler Leg Guard for Material and Shape Optimization
Authors: Srikar M. Lalith Chandra , Pavan P.G.S. Sai Krishna , Muralidhar S. , Sateesh N.
Published: June 2023

The growing demand for high performance engine technology in the two-wheeler market segment has pushed the average speed of the motorcycle to a higher limit, which has already raised the danger of motorcycle accidents leading to serious knee and lower tibia injuries. Vehicle designers, testers, and validators undergo rigorous design, testing, and validation processes based on the highest criteria for strength, weight reduction, enhanced fuel efficiency, etc., but with the fewest requirements for a vehicle’s safety in an accident. The design of a leg guard for the popular Indian Pulsar 150 motorcycle. By changing the shape and material, a thorough investigation of strength is performed. We select three different materials, such as SS202, SS347, and SS440C. The leg guard for the pulsar was built, and its stress and deformation were assessed. The optimal configuration is selected from a total of six variants using the least weight and stress deformation.
Behaviour of Aluminium Undergoing Cold Extrusion: A Review
Authors: Sai Rupesh Y. Teja Naga , Chary K. Meghansh , Venkatesh P. , Lakshmi A. Anitha
Published: June 2023

Aluminium is widely used metal. Aluminium alloy is used in mechanical industries for bolts, nuts, rivets and many other things. Aluminium is cold extruded because of its benefits like very less oxidation, high strength because of working in cold temperatures, very closer tolerances, surface finish is good, and higher speeds of extrusion when specimen is intended to hot shortness. The main objective of this research is to perform cold extrusion on aluminium rods by considering different parameters, to obtain a superior product. Different parameters like the die angle, oils and ram speeds are considered for performing this experiment. The extruded products are compared and various tests like tensile, hardness, surface roughness are performed on the extruded products and the results are compared to decide better parameters for obtaining superior product. This paper is a summary of scholarly sources on cold extrusion and aluminium alloys. This research provides a clear view of the present knowledge and helps identify relevant*theories, methods, and gaps in existing research. It also describes the results of the research, and the conclusions are drawn from them.
Study on geosynchronous satellite launch vehicle propellants and combustion mechanism of each stage
Authors: Sangwan Preeti , Banik Nibedita
Published: June 2023

GSLV is a “geosynchronous satellite launch vehicle” which aims at launching space objects into GTO- Geosynchronous transfer orbit. This paper provides a brief idea of the chemistry of propellants used in all three stages and strap-on motors of geosynchronous satellite launch vehicles and their combustion mechanism. It includes all series of GSLVs launched till now and a description of criteria for choosing fuel. This paper also includes a brief description on hydrazine which is a basic part of so many propellant combinations. Furthermore, it includes basic reasons which result in unsuccessful ignition especially at cryogenic. It also emphasizes on reasons for modification in fuels over time and advancement in efficiency obtained due to respective modified fuels, further, giving an overview of future ideas in the development of propellants.
A concise review on the Suitability of Nano-Refrigerants for Residential Refrigeration Systems (RRS)
Authors: Ikumapayi Omolayo M. , Ogedengbe Temitayo S. , Laseinde Opeyeolu T. , Kazeem Rasaq A. , Afolalu Sunday A. , Ogundipe Adebayo T. , Akinlabi Stephen A. , Akinlabi Esther T.
Published: June 2023

Nanoparticles have recently attracted huge attention as an engineering alternative in various fields. This is not unconnected with its established ability to perform better when used to replace some conventional systems or used as an enhancement for the system. Hence, this study reviewed the viability of nanofluids developed from nanoparticles as a possible replacement for conventional refrigerants available. In this review, focus was placed on refrigerants and refrigeration types, Nanoparticles and Nanofluids, Synthesis, Characterization and properties of Nanoparticles and finally on Nano-refrigerants and their viability. Conclusions were reached based on findings of the review.
An Overview on recent trends in Biopolymer Base Composites for Tissue Regeneration
Authors: Ikumapayi Omolayo M. , Laseinde Opeyeolu T. , Adebayo Adedayo S. , Oluwafemi Jesutoni R. , Ogedengbe Temitayo S. , Akinlabi Stephen A. , Akinlabi Esther T.
Published: June 2023

This paper focused on the short review of biopolymer based composite for tissue regeneration. Biopolymers have been slowly introduced into medical applications as a result of their ability to be bio-degradable and to be easily made. By selecting the appropriate biopolymer containing the selected additives to facilitate the polymer-filler interaction, composites with the desired properties can be obtained. Interfacial interactions between biopolymers, and thus Nano-fillers, significantly control the mechanical properties of biopolymer composites and these biopolymer composites such as bone, cartilage, vascular implants, and others.
Assessment of Wear Properties on Treated AISI 410 Martensitic Stainless Steel by Annealing Process
Authors: Saravanan G. , Rahul V. , Mahatme Upendra , Reddy G. Keerthi , Sharon T. , Suresh G. , Karthikeyan R. , Subbiah Ram
Published: June 2023

Martensitic stainless steels find less application in commercial products as they have high hardness, strength, and wear resistance. It lacks in ductility and exhibits moderate corrosion resistance compared to other stainless steels. As a result, annealing process were been used to strengthen the ductility and maintain stability in hardness of martensitic stainless steel material. AISI 410 was chosen for this research work and the samples were made to cylindrical shape for the following dimensions: 50 mm length and 08 mm diameter. The specimens were annealed at temperatures of 730°C, 830°C, and 930°C. The untreated material is kept aside for results comparison. All specimens were subjected to wear test using a pin on disc wear test apparatus. All the specimens were examined using a scanning electron microscope for the surface morphological changes. The outcomes were compared and the best specimen for the required application was chosen. It was discovered that there was a phase change from the martensite stage to the residual austenite stage.**
Thyroid Disease Classification using Machine Learning Algorithms
Authors: Ram Kumar R.P. , Sri Lakshmi M. , Ashwak B.S. , Rajeshwari K. , Md Zaid S.
Published: June 2023

Thyroid gland is one of the body’s most important glands because it regulates the metabolism of the human body. It controls how the body works by releasing specific hormones into the blood. The two different hormone disorders are hypothyroidism and hyperthyroidism. When these disorders occur, the thyroid gland releases a particular hormone into the blood that regulates the metabolism of the body. Iodine deficiency, autoimmune conditions, and inflammation can contribute to thyroid issues. The disease is diagnosed using a blood test, but there is frequently some noise and disturbance. Techniques for cleaning data can be used to make it simple enough to perform analytics that show the patient's risk of developing thyroid disease. This paper deals with the analysis and classification models used in thyroid disease based on the information gathered from the dataset taken from the UCI machine learning repository. Machine learning plays a crucial role in the detection of thyroid disease. This paper suggests various machine-learning methods for thyroid detection and diagnosis for thyroid prevention.
Smart Monitoring System for Physically Handicapped Infants using IoT
Authors: Kumar R.P. Ram , Sanjeeva Polepaka , Reddy Deepshika , Reddy Amitha
Published: June 2023

The Internet of Things (IoT) has brought about a change in every person’s life, making it easier with smart and intelligent devices. The problems of the physically disabled are also being addressed through smart controlling systems. Technology has made disadvantaged people equal to their peers by completely eliminating their disability and empowering them to do whatever they want to do. A physically handicapped infant needs constant monitoring which can often be challenging. Therefore, the goal of this project is to install a smart monitoring system on the infant’s activities. The core of this project is the ESP32 microcontroller on which different sensors are set up. The sensors included are APDS9960 for gesture recognition (signalling any movement in the baby and whether the baby is asleep or awake), MPU6050 Multi Axes Accelerometer for fall detection (to protect the baby from falling). In conclusion, the project assists in taking care of physically challenged infants by their guardian. In the future, a camera for more efficient supervision might be added.
Enactment of Fiber Reniforced Hybrid Epoxy Composite for Passenger Car Bumper Beam
Authors: Sankararao Vinjavarapu , Rao P. Nageswara , Babu Ch. Siva Sankara , Nageswararao Medikondu , Satyanarayana Kosaraju
Published: June 2023

These days, fuel economy and emission petrol control of passenger vehicles are two critical challenges. The most effective approach to improve fuel efficiency with the front and rear parts of a vehicle are equipped with bumpers, which are crucial in low-speed collisions because they serve as low-speed energy absorbers. Sacrificing safety is to employ fiber reinforced composite materials in the body of cars. The fascia is a major element that is designed to absorb abrupt or impact loads that are imparted to automobiles either purposefully or accidentally. The objective for the incorporation of the bumper is when a collision suspends a vehicle to abrupt or impact loads, it is employed to absorb crash energy and is beneficial again for safety of the driver passengers as well as for the vehicle. In this work, a novel composite bumper beam which will be made of hybrid (natural and synthetic) fiber epoxy composite material embedded with multi walled carbon nanotubes to improve the bending stiffness. The major goal of the current investigation is to determine the impact of nano carbon tubes on the mechanical characteristics of jute/glass/epoxy hybrids and banana/glass/epoxy hybrids. The samples manufactured using a hand layup method and a variety of stacking sequences. Experimentations for three quasi-static 3-point bending test as well as fracture toughness will be conducted. Also, water absorption capability in reinforced materials will be measured. Based on the results, the bumpers are proposed for the Indian passenger cars.
Monitoring workability properties of self-compacting concrete (SCC) using Internet of Things (IoT)
Authors: Ashwini Mittapalli Naga , Reddy V. Mallikarjuna
Published: June 2023

Workability, determines whether the concrete is suitable to cast in-situ for specified job. In practice it is determine by multiple test methods to find the workability properties by following EFNARC guidelines. To evaluate these properties in single test Ultrasonic sensors (hc-sr04) and Ultrasonic pulse velocity (UPV) test are used. The float glass box of dimensions 300×300×400 mm with reinforcement inside 16mm dia with spacing 46mm and clear cover 40mm is used for simulation. The hc-sr04 sensors are placed at the corners of the glass column for determining the concrete filled into the box and monitor through Arduino.ide software. The filling ability is determined by the time taken to fill the column and classified into FA1, FA2 & FA3 classes. The passing ability is determined by the difference of concrete height at inside the reinforcement and at the corners after filling and classified into PA1, PA2 & PA3. Ultrasonic velocity measurements are taken by direct mode and based on the variations at different locations segregation resistance is classified into SR1, SR2 & SR3. The aim of this simulation was to establish the relation between experimental tests and simulation IoT test results. Comparison between empirical tests and stimulation model shows that this model can used to check the workability at in-situ to meet the job specification.
Concrete mix design using Java Eclipse IDE
Authors: Raju V.S.P. , Teja Aitha Sai , Ragnesh D. , Sagar M. Ajay
Published: June 2023

Concrete mix design is the process of selecting the proper components and figuring out the proper ratios to achieve the desired workability, strength, and durability. As a result, an attempt has been made to create a Java program for concrete mix design by IS 10262:2019 and IS 456:2000. Computer software is created in this way to proportion input variables to a set of output variables, which avoids time-consuming computations in real time. The produced program was carefully checked. The results were compared to make sure they were accurate after being put through a series of manually check issues. The concrete mix design produced by the Java program was exact, time-saving, and computationally efficient.
Strategic introduction of private brand in the online retail platform
Authors: Huang Zongsheng , Zhang Wei , Liu Bin
Published: June 2023

Private brands are frequently introduced by online platforms. Motivated by this phenomenon, this study aims to examine the strategic introduction of private brand involving the selling format choice in the online retail platform circumstance. The retail platform determines the private label introduction as well as the selling formats, i.e., reselling or agency selling. We develop a game-theoretic model to examine the private brand introduction problem for the online retail platform. The results indicate that when the potential market for private brand is moderate, the introduction of a private brand will interact with the choice of selling format. Clearly, it makes sense for the platform to exclude or include the private brand strategy based on the size of the potential market when it is extremely small versus relatively large. However, in the case of a medium-sized market for private brands, the platform’s private brand introduction and selling format will be determined by both the cost of order fulfillment and the intensity of competition between national brands and private brands. This study contributes to uncovering under what conditions an online retail platform can be beneficial by introducing a private brand.
Trocknung und Lagerung – welche Optionen gibt
es?
Authors: Beilenhoff Ulrike
Published: June 2023

Die Trocknung und Lagerung von flexiblen, thermolabilen Endoskopen hat in der
letzten Zeit viele Fragen aufgeworfen, weil neue Entwicklungen auf den Markt
kamen, die noch keine Berücksichtigung in den aktuellen Leitlinien
gefunden haben und daher für Verunsicherung sorgen.
Welchen Stellenwert hat Führungsethik in endoskopischen
Abteilungen?
Authors: Adam-Paffrath Renate
Published: June 2023

Dieser Beitrag beschreibt zunächst die endoskopische Abteilung aus einer
anthropologischen Perspektive. Anschließend wird der Frage nachgegangen,
wie die Entwicklung eines Berufsethos als Führungsaufgabe verstanden
werden kann, und welche Hindernisse es zu erkennen und nach Möglichkeit
zu beseitigen gilt. Dabei hängt der sorgsame Umgang mit
Dilemmasituationen und Macht mit dem Führungsverständnis
zusammen. In den Schlussgedanken werden die einzelnen Aspekte noch einmal
aufgegriffen.
Gastroenterology Foundation unterstützt Nepal
Authors: Stagge Volker
Published: June 2023

Die Gastroenterology Foundation e.V. wurde 1996 in München durch Prof.
Meinhard Classen gegründet und hat das Ziel gastroenterologische
Abteilungen, insbesondere Endoskopien, in Entwicklungsländern zu
fördern. Aktuell wird die Foundation durch Prof. Hans-Dieter Allescher
geleitet. Der Verein will den Ärmsten dieser Welt eine bessere medizinische
Versorgung auch in diesem Bereich ermöglichen, indem Ärzte und
Assistenzpersonal ausgebildet werden und die apparative Versorgung
unterstützt wird.
Effect of the solvent quadrupolarizability on the strength of the hydrogen bond: Theory vs data for the Gibbs energy and enthalpy of homo- and heteroassociation between carboxylic acids and water
Authors: Farren Lana J. , Sharifi Najib , Clarke Stuart M. , Slavchov Radomir I.
Published: June 2023

A cavity model of the effect of a solvent on thermodynamic parameters of dimerization of polar species in non-polar liquids has been developed and compared to experimental data. Bulk solution data have been collected for stearic acid in cyclohexane and in toluene to quantify the extent of self-association of the acid in terms of the dimer self-dissociation constant, Kd. Composition and temperature-dependent experimental data have been collected to determine Kd, the enthalpy of dissociation, and temperature-dependent infrared molar absorption coefficients. The interaction of stearic acid with small amounts of water present in non-aqueous solvents is also addressed and quantified with a hetero-dissociation (or dehydration) constant, Kh. Existing data for acetic acid are also considered. The model connects Kd and Kh to the vapor-phase association equilibria. Solute dipole–solvent quadrupole interactions are shown to have a major effect on Kd in quadrupolar liquids, such as toluene, benzene, and CS2. This work provides important background as a prelude to adsorption studies of these additives from non-aqueous solvents to solid surfaces with relevance to commercial fluids, such as oil-based corrosion inhibitors and friction modifiers. Moreover, the presented theory of the solvent effect on Kd is a first step to generalization of standard implicit solvent models in computational chemistry (such as the polarizable continuum model) to media of significant quadrupolar strength. This is expected to be particularly important for polar species dissolved in CO2 relevant for carbon capture and storage where appropriate models do not currently exist.
Dynamics of a linearly perturbed May–Leonard competition model
Authors: Jaramillo Gabriela , Mrad Lidia , Stepien Tracy L.
Published: June 2023

The May–Leonard model was introduced to examine the behavior of three competing populations where rich dynamics, such as limit cycles and nonperiodic cyclic solutions, arise. In this work, we perturb the system by adding the capability of global mutations, allowing one species to evolve to the other two in a linear manner. We find that for small mutation rates, the perturbed system not only retains some of the dynamics seen in the classical model, such as the three-species equal-population equilibrium bifurcating to a limit cycle, but also exhibits new behavior. For instance, we capture curves of fold bifurcations where pairs of equilibria emerge and then coalesce. As a result, we uncover parameter regimes with new types of stable fixed points that are distinct from the single- and dual-population equilibria characteristic of the original model. On the contrary, the linearly perturbed system fails to maintain heteroclinic connections that exist in the original system. In short, a linear perturbation proves to be significant enough to substantially influence the dynamics, even with small mutation rates.
Prediction of wall-pressure fluctuations for separating/reattaching flows applied to space launchers using zonal detached eddy simulation-based convolutional neural networks
Authors: Lecler S. , Weiss P. E. , Deck S.
Published: June 2023

Convolutional neural networks (CNNs) are used to predict the fluctuating wall-pressure coefficient and associated single-point pressure spectra in the separating/reattaching flow region around a generic space launcher configuration in the transonic regime. The neural networks are trained on a generic axisymmetric afterbody configuration. A Zonal Detached Eddy Simulation of a semi-realistic launcher geometry [NASA (National Aeronautics and Space Administration) model 11 hammerhead] is performed and validated using available experimental results. This configuration is used as a testing case for the trained models. It is shown that the CNNs are able to identify flow features related to physical phenomena of the flow. From this feature identification, the models are able to predict the evolution of fluctuating wall quantities and locate the regions of high pressure fluctuations. A scaling procedure is proposed to retrieve correct levels of the predicted quantities for a given unknown configuration having different free stream conditions. We also demonstrate that the present models perform well applied on Reynolds-Averaged Navier–Stokes mean flow fields, paving the way for a significant reduction in the computational cost for predicting wall-pressure fluctuations around space launchers.
Programmable phase behavior in fluids with designable interactions
Authors: Chen Fan , Jacobs William M.
Published: June 2023

We introduce a method for solving the “inverse” phase equilibria problem: How should the interactions among a collection of molecular species be designed in order to achieve a target phase diagram? Using techniques from convex optimization theory, we show how to solve this problem for phase diagrams containing a large number of components and many coexisting phases with prescribed compositions. We apply our approach to commonly used mean-field models of multicomponent fluids and then use molecular simulations to verify that the designed interactions result in the target phase diagrams. Our approach enables the rational design of “programmable” fluids, such as biopolymer and colloidal mixtures, with complex phase behavior.
Heteroclinic switching between chimeras in a ring of six oscillator populations
Authors: Lee Seungjae , Krischer Katharina
Published: June 2023

In a network of coupled oscillators, a symmetry-broken dynamical state characterized by the coexistence of coherent and incoherent parts can spontaneously form. It is known as a chimera state. We study chimera states in a network consisting of six populations of identical Kuramoto–Sakaguchi phase oscillators. The populations are arranged in a ring, and oscillators belonging to one population are uniformly coupled to all oscillators within the same population and to those in the two neighboring populations. This topology supports the existence of different configurations of coherent and incoherent populations along the ring, but all of them are linearly unstable in most of the parameter space. Yet, chimera dynamics is observed from random initial conditions in a wide parameter range, characterized by one incoherent and five synchronized populations. These observable states are connected to the formation of a heteroclinic cycle between symmetric variants of saddle chimeras, which gives rise to a switching dynamics. We analyze the dynamical and spectral properties of the chimeras in the thermodynamic limit using the Ott–Antonsen ansatz and in finite-sized systems employing Watanabe–Strogatz reduction. For a heterogeneous frequency distribution, a small heterogeneity renders a heteroclinic switching dynamics asymptotically attracting. However, for a large heterogeneity, the heteroclinic orbit does not survive; instead, it is replaced by a variety of attracting chimera states.
The identification of piecewise non-linear dynamical system without understanding the mechanism
Authors: Wang Bochen , Wang Liang , Peng Jiahui , Hong Mingyue , Xu Wei
Published: June 2023

This paper designs an algorithm to distill the piecewise non-linear dynamical system from the data without prior knowledge. The system to be identified does not have to be written as a known model term or be thoroughly understood. We exploit the fact that an unknown piecewise non-linear system can be decomposed into the Fourier series as long as its equations of motion are Riemann integrable. Based on this property, we reduce the challenge of finding the correct model to discovering the Fourier series approximation. However, the Fourier series approximation of the piecewise function is inaccurate. The new method takes advantage of this weakness to determine whether the model has piecewise features and to find a way to discover the discontinuity set. Then, the dynamical system on each segment is identified as a pure Fourier series. Identification of intricate models can be achieved in simple steps. The results show that the method can accurately discover the equation of motion and precisely capture the non-smooth characteristic. Next, the prediction and further detailed analysis can be carried out.
Extraordinary bulk-insulating behavior in the strongly correlated materials FeSi and FeSb2
Authors: Eo Yun Suk , Avers Keenan , Horn Jarryd A. , Yoon Hyeok , Saha Shanta R. , Suarez Alonso , Fuhrer Michael S. , Paglione Johnpierre
Published: June 2023

4f electron-based topological Kondo insulators have long been researched for their potential to conduct electric current via protected surface states, while simultaneously exhibiting unusually robust insulating behavior in their interiors. To this end, we have investigated the electrical transport of the 3d-based correlated insulators FeSi and FeSb2, which have exhibited enough similarities to their f electron cousins to warrant investigation. By using a double-sided Corbino disk transport geometry, we show unambiguous evidence of surface conductance in both of these Fe-based materials. In addition, by using a four-terminal Corbino inverted resistance technique, we extract the bulk resistivity as a function of temperature. Similar to topological Kondo insulator SmB6, the bulk resistivity of FeSi and FeSb2 is confirmed to exponentially increase by up to 9 orders of magnitude from room temperature to the lowest accessible temperature. This demonstrates that these materials are excellent bulk insulators, providing an ideal platform for studying correlated 2D physics.
Bifurcations and transition to chaos in generalized fractional maps of the orders 0 <
α
< 1
Authors: Edelman Mark , Helman Avigayil B. , Smidtaite Rasa
Published: June 2023

In this paper, we investigate the generalized fractional maps of the orders 0<α<1. Commonly used in publications, fractional and fractional difference maps of the orders 0<α<1 belong to this class of maps. As an example, we numerically solve the equations, which define asymptotically periodic points to draw the bifurcation diagrams for the fractional difference logistic map with α=0.5. For periods more than four (T>4), these bifurcation diagrams are significantly different from the bifurcation diagrams obtained after 105 iterations on individual trajectories. We present examples of transition to chaos on individual trajectories with positive and zero Lyapunov exponents. We derive the algebraic equations, which allow the calculation of bifurcation points of generalized fractional maps. We use these equations to calculate the bifurcation points for the fractional and fractional difference logistic maps with α=0.5. The results of our numerical simulations allow us to make a conjecture that the cascade of bifurcations scenarios of transition to chaos in generalized fractional maps and regular maps are similar, and the value of the generalized fractional Feigenbaum constant δf is the same as the value of the regular Feigenbaum constant δ=4.669….
A perturbation-based approach to identifying potentially superfluous network constituents
Authors: Bröhl Timo , Lehnertz Klaus
Published: June 2023

Constructing networks from empirical time-series data is often faced with the as yet unsolved issue of how to avoid potentially superfluous network constituents. Such constituents can result, e.g., from spatial and temporal oversampling of the system’s dynamics, and neglecting them can lead to severe misinterpretations of network characteristics ranging from global to local scale. We derive a perturbation-based method to identify potentially superfluous network constituents that makes use of vertex and edge centrality concepts. We investigate the suitability of our approach through analyses of weighted small-world, scale-free, random, and complete networks.
Multi-decadal trends in large-bodied fish populations in the New South Wales Murray–Darling Basin, Australia
Authors: Crook D. A. , Schilling H. T. , Gilligan D. M. , Asmus M. , Boys C. A. , Butler G. L. , Cameron L. M. , Hohnberg D. , Michie L. E. , Miles N. G. , Rayner T. S. , Robinson W. A. , Rourke M. L. , Stocks J. R. , Thiem J. D. , Townsend A. , van der Meulen D. E. , Wooden I. , Cheshire K. J. M.
Published: June 2023

Context Native fish populations in Australia’s Murray–Darling Basin (MDB) have experienced severe declines since European settlement. Information on their status is needed to guide management and recovery. Aims To quantify trends in MDB fish populations in New South Wales (NSW) from 1994 to 2022. Methods Relative abundance, biomass, and size structure were examined using generalised additive mixed models at NSW MDB and river catchment (valley) scales for five native species (Murray cod, Maccullochella peelii; golden perch, Macquaria ambigua; silver perch, Bidyanus bidyanus; Macquarie perch, Macquaria australasica; freshwater catfish, Tandanus tandanus) and one alien species (common carp, Cyprinus carpio). Key results There was strong inter-annual variation in relative abundance, biomass and population structure for all species. At the Basin scale, relative abundance of Murray cod, golden perch and common carp increased across the time series, with no clear trends for silver perch, Macquarie perch or freshwater catfish. Patterns in relative abundance, biomass, and population structure were variable among valleys for most species. Conclusions and implications Although native fish populations in the MDB remain degraded and face escalating threats, recent increases in the abundance of some native species are an encouraging sign that integrated restoration efforts can improve the outlook for native fish.