bluuebunny/crossref_metadata_2025 huggingface dataset:
Characterization of two lytic bacteriophages, infecting Streptococcus bovis/equinus complex (SBSEC) from Korean ruminant
Authors: Park Seon Young , Kwon Hyemin , Kim Sang Guen , Park Se Chang , Kim Ji Hyung , Seo Seongwon
Published: June 2023

Streptococcus bovis/equinuscomplex (SBSEC) is one of the most important lactic acid-producing rumen bacteria causing subacute ruminal acidosis. Despite the significance of the ruminal bacteria, lytic bacteriophages (phages) capable of infecting SBSEC in the rumen have been rarely characterized. Hence, we describe the biological and genomic characteristics of two lytic phages (designated as vB_SbRt-pBovineB21 and vB_SbRt-pBovineS21) infecting various SBSEC species, including the newly reportedS.ruminicola. The isolated SBSEC phages were morphologically similar toPodoviridaeand could infect other genera of lactic acid-producing bacteria, includingLactococcusandLactobacillus. Additionally, they showed high thermal- and pH-stability, and those characteristics induce strong adaptation to the ruminal environment, such as the low pH found in subacute ruminal acidosis. Genome-based phylogeny revealed that both phages were related toStreptococcusphage C1 in theFischettivirus. However, they had a lower nucleotide similarity and distinct genomic arrangements than phage C1. The phage bacteriolytic activity was evaluated usingS.ruminicola, and the phages efficiently inhibited planktonic bacterial growth. Moreover, both phages could prevent bacterial biofilms of various SBSEC strains and other lactic acid-producing bacteria in vitro. Thus, the newly isolated two SBSEC phages were classified as newFischettivirusmembers and could be considered as potential biocontrol agents against ruminal SBSEC bacteria and their biofilms.
Effects of fishery complementary photovoltaic power plant on radiation, energy flux and driving forces under different synoptic conditions
Authors: Li Peidu , Gao Xiaoqing , Li Zhenchao , Ye Tiange , Zhou Xiyin
Published: June 2023

The underlying surface was the important media of air-lake interaction by transferring energy. The deployment of photovoltaic arrays on the lake has formed a new underlying surface type. But the new underlying surface is different from the natural lake. The impact of fishery complementary photovoltaic (FPV) power plants on the radiation, energy flux, and driving force is unclear. Therefore, the analysis of radiation, energy flux, and driving force by comparing the difference in the two sites under various synoptic conditions. The results indicated that the radiation components are not significantly different in the two sites under diverse synoptic conditions. The downward shortwave radiation (DSR) and net radiation ($${R}_{n}$$

R
n

) were presented with one peak on a sunny day. The daily average DSR and Rn in the two sites were 279.1 W·m−2, 209.3 W·m−2, respectively. The daily average (cloudy day and rainy day) sensible heat flux in the two sites was 39.5 W·m−2 (FPV site), 19.2 W·m−2 (REF site), respectively. The latent heat flux was 53.2 W·m−2 and 75.2 W·m−2 on counterpart. The water body generally absorbs heat from the air (daily average ∆Q was 16.6 W·m−2) in the FPV site on a sunny day. The driving force of sensible heat flux in the FPV site was governed by the temperature of the FPV panel under sunny and cloudy conditions. The latent heat flux was determined by the product between wind speed and water-atmosphere temperature difference.
RETRACTED ARTICLE: Exposure to pesticide components causes recurrent pregnancy loss by increasing placental oxidative stress and apoptosis: a case–control study
Authors: El-Baz Mona A. H. , Amin Ahmed F. , Mohany Khalid M.
Published: June 2023

We investigated the plasma levels of pesticides components namely polychlorinated biphenyls (PCBs), dieldrin, dichlorodiphenyldichloroethylene (DDE), ethion, malathion, and chlorpyrifos in recurrent pregnancy loss (RPL) cases, and tested their associations with placental oxidative stress (OS) biomarkers [nitric oxide (NO.), thiobarbituric acid reactive substances (TBARS), reduced glutathione (GSH), and superoxide dismutase (SOD)] and with placental apoptotic/antiapoptotic indices (Bcl-2 and caspase-3), and evaluated their possible cut-off points to distinguish RPL cases. The study recruited 101 pregnant women divided into; G1 [n = 49, control, normal 1st-trimester pregnancy, normal obstetric history with at least one previous normal live birth], G2 [n = 26, cases with missed abortion (< 3 abortions) before 24 weeks of gestation], and G3 [n = 26, cases with missed abortion (≥ 3 abortions) before 24 weeks of gestation]. The plasma pesticide levels were analyzed by gas chromatography-mass spectrometry. Plasma human chorionic gonadotrophin (HCG), placental OS, Bcl-2, and caspase-3, were analyzed by their corresponding methods and kits. Plasma PCBs, DDE, dieldrin, and ethion levels were significantly higher in RPL cases than in normal pregnancies (p ≤ 0.001). These levels correlated positively with placental OS and apoptosis and negatively with plasma HCG levels. Also, these levels were reliable markers of risk to RPL. Malathion and chlorpyrifos were not detected in any of the study’s participants. Pesticides may be risk factors in cases of spontaneous RPL cases. They are associated with an increasing placental OS and placental apoptosis. Specific measures should be taken to decrease maternal exposure to these pollutants’ sources, especially in underdeveloped and developing countries.
Long range gene flow beyond predictions from oceanographic transport in a tropical marine foundation species
Authors: Tavares Ana I. , Assis Jorge , Larkin Patrick D. , Creed Joel C. , Magalhães Karine , Horta Paulo , Engelen Aschwin , Cardoso Noelo , Barbosa Castro , Pontes Samuel , Regalla Aissa , Almada Carmen , Ferreira Rogério , Abdoul Ba Mamadou , Ebaye Sidina , Bourweiss Mohammed , dos Santos Carmen Van-Dúnem , Patrício Ana R. , Teodósio Alexandra , Santos Rui , Pearson Gareth A. , Serrao Ester A.
Published: June 2023

The transport of passively dispersed organisms across tropical margins remains poorly understood. Hypotheses of oceanographic transportation potential lack testing with large scale empirical data. To address this gap, we used the seagrass species, Halodule wrightii, which is unique in spanning the entire tropical Atlantic. We tested the hypothesis that genetic differentiation estimated across its large-scale biogeographic range can be predicted by simulated oceanographic transport. The alternative hypothesis posits that dispersal is independent of ocean currents, such as transport by grazers. We compared empirical genetic estimates and modelled predictions of dispersal along the distribution of H. wrightii. We genotyped eight microsatellite loci on 19 populations distributed across Atlantic Africa, Gulf of Mexico, Caribbean, Brazil and developed a biophysical model with high-resolution ocean currents. Genetic data revealed low gene flow and highest differentiation between (1) the Gulf of Mexico and two other regions: (2) Caribbean-Brazil and (3) Atlantic Africa. These two were more genetically similar despite separation by an ocean. The biophysical model indicated low or no probability of passive dispersal among populations and did not match the empirical genetic data. The results support the alternative hypothesis of a role for active dispersal vectors like grazers.
Evaluating the impact of digitalization, renewable energy use, and technological innovation on load capacity factor in G8 nations
Authors: Mehmood Usman , Tariq Salman , Aslam Muhammad Umar , Agyekum Ephraim Bonah , Uhunamure Solomon Eghosa , Shale Karabo , Kamal Mustafa , Khan Muhammad Faisal
Published: June 2023

Ecosystems are in danger due to human-caused air, water, and soil pollution, so it is important to find the underlying causes of this issue and develop practical solutions. This study adds to environmental research gap by suggesting the load capability factor (LCF) and using it to look at the factors affectting environmental health. The load capacity factor simplifies monitoring environmental health by illustrating the distinction between ecological footprint and biocapacity. We examine the interplay between mobile phone users (Digitalization DIG), technological advancements (TEC), renewable energy use, economic growth, and financial development. This study assesses G8 economies’ data from 1990 to 2018, using a Cross-Section Improved Autoregressive Distributed Lag CS-ARDL estimator and a cointegration test. The data shows that green energy, TEC innovation, and DIG are all beneficial for natural health. Based on the results of this study, the G8 governments should focus on environmental policies that promote economic growth, increase the use of renewable energy sources, guide technological progress in key areas, and encourage the development of digital information and communications technologies that are better for the environment.
Multidecadal climate variability dominated past trends in the water balance of the Baltic Sea watershed
Authors: Markus Meier H. E. , Barghorn Leonie , Börgel Florian , Gröger Matthias , Naumov Lev , Radtke Hagen
Published: June 2023

The Baltic Sea watershed includes the territories of 14 countries in Northern, Central, and Eastern Europe. Long-term observations have shown that the climate in this area is characterised by a pronounced multidecadal variability, with a period of about 30 years, but its origin is thus far unknown. We propose that the observed ~30-year fluctuations in Baltic Sea salinity are caused by the Atlantic Multidecadal Variability and the North Atlantic Oscillation, which together modulate precipitation over the watershed and hence the river discharge into the Baltic Sea. The return of a large portion of the outflowing brackish Baltic Sea water with the inflowing salt water, due to mixing at the entrance area results in a positive feedback mechanism that amplifies the multidecadal variations in salinity. The strength of this self-amplification is considerable since atmospheric forcing has nearly the same periodicity as the response time of the freshwater content to external freshwater inputs.
Ferroelectricity in oxygen-deficient perovskite-type oxide Sr10Ga6Sc4O25
Authors: Nakano Akitoshi , Terasaki Ichiro , Taniguchi Hiroki
Published: June 2023

We have investigated the physical properties of an oxygen-deficient perovskite-type Sr10Ga6Sc4O25 by means of dielectric permittivity, pyroelectric current, and X-ray diffraction (XRD) measurements using a polycrystalline sample.
α-Fe2O3 nanomaterials strengthened the growth promoting effect of Pseudomonas aurantiaca strain JD37 on alfalfa via enhancing the nutrient interaction of the plant–rhizobacteria symbiont
Authors: Zheng Tianying , Wu Ting , Hou Jie , Lin Daohui
Published: June 2023

Plant growth-promoting rhizobacteria (PGPR) are an important supplement for crop production, but their application suffers from unstable efficiency in real soil environments due to the vulnerability of the plant–rhizobacteria symbiont.
Thermogravimetric and spectroscopic analyses along with the kinetic modeling of the pyrolysis of phosphate tailings
Authors: Yuan Xue-Mei , Xie Hui-Juan , Nie Deng-Pan , Zhang Yu , Zhou Lan , Wu Yi-Yi , Wen Zhu
Published: June 2023

Load the phosphorus tailings sample into a pyrolysis tube, heat it at different heating rates to 1000 °C, and calcine the sample at different temperatures in a muffle furnace.
Cationic CNC-stabilized Pickering emulsions of linseed oil for hydrophobic coatings
Authors: Jaekel Esther E. , Filonenko Svitlana
Published: June 2023

Pickering emulsions of linseed oil stabilized by an cationic cellulose nanocrystals can serve as an environmentally friendly hydrophobic and moisture-protective paper coating.
Revealing the effect of Nb or V doping on anode performance in Na2Ti3O7 for sodium-ion batteries: a first-principles study
Authors: Hwang Suk-Gyong , Kim Chung-Hyok , Choe Song-Hyok , Ri Kum-Chol , Yu Chol-Jun
Published: June 2023

First-principles simulations of sodium titanate Na2Ti3O7 with Nb- or V-doping, have been performed to identify the variation of structural, electronic and electrochemical properties for use in sodium-ion batteries.
Current state of biogas and biomethane production and its implications for Spain
Authors: Calero M. , Godoy V. , Heras C. García , Lozano E. , Arjandas S. , Martín-Lara M. A.
Published: June 2023

In Spain, biomethane is emerging as one of the great keys, not only for the transformation of the energy mix in the short term, but also to advance towards the decarbonisation of the economy.
Physics of smart active matter: integrating active matter and control to gain insights into living systems
Authors: Levine Herbert , Goldman Daniel I.
Published: June 2023

A confined active gas of collisional flapping robots that each sense and respond to light. Above some threshold a robot freezes its configuration which generates locomotion of the collective toward a light source although no individual robot can translate on its own.
Structural characterization of systems with competing interactions confined in narrow spherical shells
Authors: Serna Horacio , Meyra Ariel G. , Noya Eva G. , Góźdź Wojciech T.
Published: June 2023

Self-assembled structures in cylinder-forming systems with competing interactions confined in narrow spherical shells.
Integrated osteoimmunomodulatory strategies based on designing scaffold surface properties in bone regeneration
Authors: Chen Zhao , Xing Fei , Zhou Yuxi , Yu Peiyun , Xu Jiawei , Luo Rong , Zhou Changchun , Xiang Zhou , Rommens Pol Maria , Liu Ming , Ritz Ulrike
Published: June 2023

By tuning the surface properties, biomaterials can precisely manipulate the osteoimmune environment favoring bone regeneration.
Band gap tuning through cation and halide alloying in mechanochemically synthesized Cs3(Sb1−xBix)2Br9 and Cs3Sb2(I1−xBrx)9 solid solutions
Authors: Giovilli Giulia , Albini Benedetta , Grisci Virginia , Bonomi Sara , Moroni Marco , Mosconi Edoardo , Kaiser Waldemar , De Angelis Filippo , Galinetto Pietro , Malavasi Lorenzo
Published: June 2023

Modulation of the optical properties of lead-free defective perovskites can contribute to the design of optimized materials for several applications ranging from photodetection to photocatalysis.
CsCu2I3 thin films prepared by different deposition methods for ultraviolet photodetectors with imaging capability
Authors: Li Xiaoxuan , Xia Bin , Zhang Lichun , Wang Feifei , Zhao Fengzhou
Published: June 2023

The ultraviolet heterojunction photodetector exhibits sensitive ultraviolet photoresponse and excellent imaging capability.
A Verbal Card Sorting Task to Measure Executive Functions
Authors: LaCroix Arianna N. , Greene-Winek Alexandria , Simon Sandy , Groth Hannah , Ratiu Ileana
Published: June 2023

Purpose:

The Wisconsin Card Sorting Test (WCST) is commonly used to measure nonverbal executive functions (EFs) in a variety of clinical populations. However, in some clinical populations (e.g., people with aphasia), deficits may be present in more linguistic (or verbal) domains and less pronounced in nonverbal domains. Thus, when determining possible deficits in these individuals, it is critical to assess both verbal and nonverbal cognitive abilities. The purpose of this study was to create a verbal card sorting task (VCST) to complement the WCST.

Method:

We created the VCST by modifying a computerized version of the WCST, the Berg Card Sorting Task (BCST). We then compared 35 individuals with mild traumatic brain injury (mTBI) and 33 matched controls' performance on each task. We tested the VCST in individuals with mTBI first because they demonstrate impaired EFs but unimpaired language. We therefore expected the mTBI group to perform similarly on the VCST and BCST, suggesting that the two tasks measure EFs similarly.

Results:

In line with our hypothesis, the mTBI group had unimpaired inhibition and sustained attention but impaired shifting on each task. Component loadings for both tasks were also similar, and participants' inhibition and shifting scores positively correlated across the two tasks.

Conclusions:

Together, these findings suggest that the VCST is a potentially useful tool for measuring verbal EF deficits. Our results also provide important insights into the EF impairments experienced by individuals with mTBI.

Supplemental Material:

https://doi.org/10.23641/asha.23230475
Performance of 7-level cascade H-bridge multi level inverter driven induction motor drive
Authors: Tummala Suresh Kumar , Hemalatha Kyama , Al-Kharsan Ibrahim H. , Sajwan Vijaylakshmi
Published: June 2023

In recent times, many of industrial applications require smooth control over a wide range of speeds or smooth torque control without effecting motor performance and efficiency. So, cascaded H-Bridge multilevel inverters convert the low or medium level voltage to medium or high level of output voltages. In this paper, a cascaded H-Bridge multilevel seven level inverter is operated by using sinusoidal pulse width modulation technique. This PWM technique will improves the smoothness of waveform by reducing the lower order harmonics. And analysed its performances like speed, torque, THD etc.
Impact of rice husk ash and xanthan gum in road works by improving the characteristics of expansive soil (black cotton soil)– an inclusive study
Authors: Chamberlin K.S , Rao M. Rama , Suresh K.
Published: June 2023

The soils of Indian Black Cotton are well-known examples of Expansive soils, which display significant swelling and shrinkage in response to changes in moisture content. The distressing cyclical swelling and shrinking of soils under moisture fluctuations lead to serious failures. Stabilization of soil can be used to improve it in order to get around this. An agricultural industrial waste called rice husk ash is created when rice husk, a byproduct of paddy milling, is burned. In delta regions, it is widely distributed. It is a pozzolanic material that is widely distributed in India and has potential use in a number of geotechnical areas. In this stabilisation process, black cotton soil is mixed with RHA-lime and various percentages of cementitious material, particularly lime. Tests such as plasticity, compaction, swell, and CBR were also conducted with different water contents of OMCs (such as OMC + 2% water content and OMC + 5% water content). From the test findings, it can be concluded that adding lime reduces flexibility and increases strength. With the addition of RHA and lime, expansive soil gets higher CBR values at varied water contents more than 50% for dosages of 10% lime + 20% RHA and 10% lime + 30% RHA. The expansive soil becomes non-plastic, non-swelling, and has increased strengths, making it suitable for use as a building material for roads.
Applicability of Industrial Wastes in Metal Matrix Composites Production – A Review
Authors: Adediran Adeolu A. , Ikubanni Peter P. , Mosadomi Oreofeoluwa A. , Olabisi Adebayo S. , Sahoo Biraj Kumar , Kumar B. Ravi
Published: June 2023

The review study is to investigate the possibility of utilizing industrial waste materials as a strengthening component in the manufacturing of metal-matrix composites (MMCs) and assess the associated environmental benefits. The study focused on examining two distinct sets of waste materials: metal matrix composites that were reinforced with fly ash, and composites produced from different kinds of industrial waste materials. Technical and property-related data were reviewed to evaluate the potential of these waste materials in MMC production. The study results indicated that fly ash-reinforced metal-matrix composites exhibited exceptional physical and mechanical properties, which make them well-suited for various applications, particularly in the automotive sector. The research highlights the necessity for further studies to innovate advanced materials with improved properties while mitigating environmental pollution. Overall, the research demonstrates the potential of utilizing industrial waste materials as reinforcement in MMC production and underscores the importance of this approach for the future development of advanced materials.
Optimization Of Machining Parameters of CNC Milling Operation for Material Removal Rate and Surface Roughness on En-24 Steel Using Taguchi Method
Authors: Satyanarayana Kosaraju , Kumar Vadla Tharun , Rathod Ravi , Shafi MD , Chary Shankara , Alkhayyat Ahmed , Khanduja Manisha
Published: June 2023

The significance of quality and productivity in the manufacturing industry cannot be overstated, as they directly impact profitability. To remain competitive and keep pace with advancements in technology, manufacturing industries must continuously improve their processes to enhance the quality and productivity of their products. One technology that has contributed to such improvements is CNC milling machines, which have been used in this study. For this study, the high-strength, ductile, and wear-resistant steel alloy EN24 was selected for milling. Taguchi L9 orthogonal array proposal of experiment was used to select cutting parameters, and a total of nine milling operations were conducted. Rate of material removal and surface roughness were calculated for all the nine experiments. Signal-to-noise (S/N) ratios and mean values were used to identify the influencing cutting parameter for material removal rate and surface roughness. ANOVA technique was employed to calculate the optimal cutting parameters for achieving better material removal rate and surface roughness. To analyze the parameters that influence MRR and surface roughness, a comparison was made between the S/N ratios and initial readings using ANOVA technique. Overall, this study demonstrated the importance of selecting appropriate cutting parameters for achieving optimal MRR and surface roughness of CNC milling procedures, which can lead to improvements in quality and productivity in the manufacturing industry.
Stabilization of expansive soil with terrasil and coir fiber as a subgrade for pavement
Authors: Mohith Datta Nallamothu , Achuthan Aravindan
Published: June 2023

This research is intended to enhance the strength and permeability properties of black cotton soil or expansive soil of high plastic clay (CH) by combining soil with coir fibre and Terrasil additives. The distributions of the additive’s coir fibre and Terrasil used in the analysis are expressed as a percentage of the soil’s dry weight. The Terrasil and coir fibre proportions used in this study are 0.5% Terrasil and 0.5%,1.0%,1.5%, and 2.0% coir fibre, respectively. According to the analysis or test results, clay subgrade soil stabilized with 0.5% Terrasil and 1.5% coir fibre exhibits specific values for strength and CBR value improvement. The UCS confidence interval for the combined application of soil+0.5%Terrasil+1.5%coir fibre increases from 26.566 kpa to 27.209 kpa in the untreated soil. The CBR computed value for the treated soil is 90% usually higher than the untreated soil, lowering the layers demanded for the subgrade. Permeability values of 1.5% and 2.0% for coir fibre and 0.5% for Terrasil outperformed that of untreated soil. After the additives are incorporated into the soil, the mineralogy of the soil and the Bonding mechanism phenomena are inspected (or) investigated using XRD, SEM, and FTIR.
ASIC Implementation of Bit Matrix Multiplier
Authors: Reddy K. Swetha , Seethai Surabhi , Akanksha  , Meenakshi  , Reddy V. Sagar
Published: June 2023

In computer science and digital electronics, a bit matrix multiplier (BMM) is a mathematical operation that is used to quickly multiply binary matrices. BMM is a basic component of many computer algorithms and is utilized in fields including machine learning, image processing, and cryptography. BMM creates a new matrix that represents the product of the two input matrices by performing logical AND and XOR operations on each matrix element’s binary value. BMM is a crucial method for large-scale matrix operations since it has a lower computational complexity than conventional matrix multiplication. Reduced computational complexity: When compared to conventional matrix multiplication algorithms, BMM has a lower computational complexity since it performs matrix multiplication using bitwise operations like logical AND and XOR. Faster processing speeds are the result, particularly for complex matrix computations. Less memory is needed to store the binary values of the matrices in BMM because these values can be expressed using Boolean logic. As a result, less memory is needed, and the resources can be used more effectively.
Design and analysis of drone propeller by using aluminium and nylon materials
Authors: Sai Teja H. , Chawan Gnanendar , Nilay Sree , Eswaraiah D. , Jyothi U.S.
Published: June 2023

It is undeniable fact that the importance of drones has increased in every aspect of the daily life such as Defence, agriculture, film shooting, disaster management, transportation etc. In the view to increasing the efficiency of a drone, Using Solid works it is proposed to design the Drone Propellers and analyse the output parameters such as thrust produced, pressure and velocity of the propeller. The objective of this research work is to design thrust optimized blade of length 134mm and 167mm with a density of air 1.204 kg/m3 and perform thrust, velocity and pressure analysis with respect to change in material, RPM, angle, and length of the blade. The property of aluminium 1060 H12 and Nylon 101 being lightweight is chosen for designing and analysing of blades. The modal analysis shows the first natural frequency occurs at around 5000 RPM which is safe for operating the blade. So, it had been considered as 2500rpm and 3500rpm to calculate thrust and other parameters as mentioned. The CFD analysis of the model was performed in solid works and required parameters has been obtained.
Effect of Potassium Permanganate treatment on physico-Chemical and mechanical properties of extracted Pine Needle Fiber
Authors: Kumar Rajesh , Rakesh Pawan Kumar , Sreehari Dungali
Published: June 2023

This study investigates the potential of extracted pine needle fiber (PNF) to substitute synthetic fibers in biopolymer composites as a reinforcing material. The study is focused on the surface modification and characterizing of the extracted PNF. Water retting method was used to extract the PNF before being subjected to potassium permanganate treatment. The surface treatment with potassium permanganate resulted in higher density (1058 kg/m3) compared to the untreated fibers (1017 kg/m3). X-ray Diffraction (XRD) analysis shows the surface treatments positively impacted the natural fiber’s crystallinity index (CI). Additionally, the tensile strength of PNF were found to be enhanced on potassium permanganate treatment from 49.67 ± 9.6 MPa (untreated PNF) to 56.75 ± 16.54 MPa (treated PNF). Based on the findings, it can be concluded that the potassium permanganate treated PNF will be suitable to be used as reinforcement in fabricating the ecologically friendly composites.
Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection
Authors: Karanam Madhavi , Reddy Akhil Kumar , Mathyam Pranit , Mohammed Azeemuddin , Naik Sandeep
Published: June 2023

A multicamera system for detecting cars and mapping them into parking spaces in a parking lot is described in this study. A limited number of sequences and without more difficult reality conditions (illumination changes and various weather conditions) were used to evaluate approaches from a cutting-edge system that function correctly under controlled conditions. However, the majority of them only provide parts of systems, typically detectors, rather than the entire system. The proposed system was made to work in real-world situations that take into account a variety of occlusion scenarios, changes in lighting, and weather. For the purpose of design and validation, a brand-new multicamera data set was recorded. Two of the system’s object detector results are shown, and several provided postprocessing stages are used to build the system. The findings clearly indicate that the suggested method works appropriately in demanding settings such as near entire occlusions, lighting variations, and varying weather conditions.
Alzheimer’s Disease Recognition Applying Non-Negative Matrix Factorization Characteristics from Brain Magnetic Resonance Images (MRI)
Authors: Reddy G. Vijendar , Raju B. Siva Manga , Varshith K. , Sahil S. , Vardhan L. Harsha
Published: June 2023

To more accurately depict Alzheimer’s disease (AD) and projecting clinical outcomes while taking into account advancements in clinical imaging and substantial learning, several experts are gradually using ConvNet (CNNs) to remove deep intensity features from gathering images. A small deep learning algorithm called the principal component analysis network (PCA-Net) creates multi-faceted channel banks to verify the accuracy of voluminous head part assessments. After binarization, block wise histograms are constructed to obtain picture properties. PCANet is less adaptable because multi-facet channel banks are built with test data, resulting in PCA-Net features with thousands or even millions of aspects. The non-negative matrix factorization tensor decomposition network, or NMF-TD-Net, is an information-free organization based on PCA-Net that we present in this study to address these issues. Instead of PCA, staggered channel banks are made to test nonnegative matrix factorization (NMF). By applying tensor decomposition (TD) to a higher-demand tensor derived from the learning results, the input’s dimensionality is reduced, resulting in the final image features. The support vector machine (SVM) in our technique uses these properties as input to diagnose, predict clinical score, and categorize AD.
A Comprehensive Survey on Face Quality Detection in a Video Frame
Authors: Bhuvaneshwari T. , Ramadevi N. , Kalpana E. , Dugyala Raman , Reddy G. Vijendar
Published: June 2023

The correctness of the generated face data, which is impacted by a number of variables, significantly affects how well face analysis and recognition systems perform. By automatically analysing the face data quality in terms of its biometric value, it might be able to identify low-quality data and take the necessary action. With a focus on visible wavelength face image input, this study summarises the body of research on the evaluation of face picture quality. The use of DL-based methods is unquestionably expanding, and there are major conceptual differences between them and current approaches, such as the inclusion of quality assessment in face recognition models. In addition to image selection, which is the topic of this article, face picture quality assessment can be used in a wide range of application scenarios. The requirement for comparative algorithm assessments and the difficulty of creating Deep Learning (DL) techniques that are intelligible in addition to providing accurate utility estimates are just a few of the issues and topics that remain unanswered. For each frame, the suggested method is compared to traditional facial feature extraction, and for a collection of video frames, it is compared to well-known clustering algorithms.
An overview of material removal processes and its industrial application
Authors: Tukuru Oweibo I. , Kayode Joseph F. , Afolalu Sunday A. , Ayodeji Noiki , Lawal Sunday L. , Banjoko Olusola M. , Monye Stella I. , Emetere Moses E.
Published: June 2023

This paper provided an overview of material removal processes and their industrial applications. Materials perform very important functions industrially owing to their mechanical properties and nature. The essence of material removal processes is to formulate the structural features required for a product to perform to the specification of its intended applications. Unfinished castings can be modified through the removal of materials to make them meet design requirements and also a group of shaping processes that involve removing unwanted surplus material from a starting workpiece to bring the remaining piece closer to the desired shape. Additionally, selective material removal can be used to transform generic castings into one-of-a-kind finished goods. Common castings can have unique hold patterns, flanges eliminated, wall thicknesses decreased, surfaces flattened, and other design characteristics added by removing unneeded material, resulting in distinctively diverse final products. In contrast, casting and molding operations are frequently substituted with material removal techniques. Materials removal may end up being the sole viable option when the issues related to cast form processing concerns become overwhelming (often based on cost-effectiveness).
An overview of nanotechnology and its application
Authors: Omietimi Henry B. , Afolalu Sunday A. , Kayode Joseph F. , Monye Stella I. , Lawal Sunday L. , Emetere Moses E.
Published: June 2023

Numerous advantages of nanotechnology depend on its capacity to modify materials at incredibly small scales to attain certain features that would significantly improve the materials science toolset. Considering the molecules and interacting groups of molecules in connection to the bulk macroscopic qualities of the material becomes necessary when controlling the underlying molecular structure, which provides control over the macroscopic chemical and physical properties. Physiological and medical applications necessitate both materials apparatus with a high degree of specificity to communicate with the body on a molecular (or subcellular) level. This may result in specialized clinical uses for cells and tissues that aim to acquire the most therapeutic results possible while limiting negative effects. The applications and main scientific and technological facets of nanotechnology are explained in this overview, along with some of its potential medical uses
New Intrusion Detection System Based on Neural Networks and Clustering
Authors: Samata Kancherla , Raman Dugyala , Saravanan S. , Saminathan R.
Published: June 2023

Efficiency of Intrusion detection systems-IDS are evaluated using parameters like completeness, performance and accuracy. The first important parameter is the completeness, which occurs when the detection of attack fails. This is the most difficult parameter to evaluate compared to the other two parameters. The second one is performance, which indicates the audit events process. When the IDS doesn’t work properly or works poorly, the real time detection becomes impossible. Legitimate actions are flagged as anomalous which is termed as inaccuracy. This part needs attention to address the inaccuracies. Optimal solutions must take the inaccuracies into consideration for accuracy, thereby efficiency of IDS. There are different trends in IDS. Some of them are discussed below. Behavior and knowledge-based IDS: Misuse detection, appearance-based detection, behavior detection and anomaly detection etc. There are numerous stability and security issues as a result of the Internet’s and computer networks’ rapid proliferation. The present study reports the case study of image processing in a fruit grading plant with data safety over cloud with Original Equipment Manufacturer (OEM). How Artificial Neural Networks (ANN) architecture can help is discussed and recommendations are made for impending improvement.
Smart Wheelchair with Advanced Assistance and Governing System for Disabled
Authors: Kumar D. Karuna , Mahesh B. , Umesh B. , Reddy K. Rohanth , Shashank M.
Published: June 2023

This smart wheelchair model can be used by quadriplegic people to move comfortably. Sufferers with paraplegic or leg impairment face issue in achieving locations. A few people try and use a walker in many instances, the patient may also loose balance and fall and injure themselves. To avoid this state of affairs, our model can be used. This version is powered through a raspberry pi; it is geared up with LCD and RF module and atmega controller, Servo motor, a DC motor and a wheelchair. The user just need to touch the displayed options for movement. The transmitter and receiver circuit communicate using RF communication. This version additionally has an emergency characteristic; the person ought to press the alert button in case of emergency. The patient can then circulate the usage of button instructions. The patient can use the forward and backward buttons to move forward or backward, and can press the stop button to stop at a certain point and to make the chair stand, the patient needs to click on stand up button. so that the person sitting on the wheelchair can stand allowing to pick any items without any help.
Simulation on the thermal management of electrical vehicle battery pack with different cooling methods
Authors: P.S.N. Masthan Vali , G. Murali
Published: June 2023

Electrical vehicles (EVs) are becoming more popular every day. Lithium ion (Li-ion) batteries in the cylindrical form are utilized as the power source of both electrical vehicles and hybrid electric vehicles due to their small size and high-power density. There is typically very little space between the batteries. Heat dissipation must be properly evaluated to ensure that the battery operates as intended. The study goal is examine how well a battery pack performs overall while using alternating cooling strategies. Three models were created in solidworks 2016 for the purpose of determine the best cooling approach. Three battery thermal management (BTMs) options were also chosen, analyzed, and simulated in Ansys Fluent 19.2 to ensure accurate and thermal modelling. According to the findings, geometry 2 ethynyl glycol exhibits a more efficient temperature distribution and maximum temperature than the other cooling methods. Furthermore, channel cooling based on BTMs, the consistent temperature distribution is carried out, and the maximum temperature is regulated to 306.66 K, with a minimum temperature of 293. 20 K being attained.
Investigation on solid propellant test and time calibration for complete combustion
Authors: Tigga Anish Soloman , G. Murali , P.S.N. Masthan Vali
Published: June 2023

A solid propellant is simple and reliable rocket fuel. Once ignited, the propellant cannot be stopped since they burn until they run out. Solid fuel rockets are widely used in military applications such as missiles, model rockets, boosters for satellite launchers and so on because they can be stored for long periods of time without degrading the propellant. The primary objective of this research is to study the burnout mass of solid propellants using various propellants and catalysts. Potassium Nitrate (KNO3) was chosen as an oxidant in the experiment because of its compatibility with other ingredients and low-cost affordability. KNO3 was used as an oxidizer in a 65% ratio with 34% of the fuel and 1% of the catalyst. KNO3, fuel ingredients like Fructose, Glucose and Lactose with catalysts Copper and Aluminum were taken in powdered form. Cylindrical stainless steel with one closed end was taken to fill the cavity, and a concentric hole was made for constant burning. This propellant-filled chamber is fixed strongly in a position so that it does not propel during fuel combustion when thrust is formed. The obtained result shows that the longest burnout mass was secured by burning Glucose with Copper powder and KNO3 for 136 s when compared to the shortest burnout mass was secured by burning Lactose with Aluminum powder and KNO3 mixture to 57 s. The highest temperature of the mixture was Lactose with Copper powder and KNO3 resulted in 518 °C when compared to the lowest temperature of the mixture was Glucose with Copper powder and KNO3 was 211.75 °C.
Zeta Converter Based Battery Charger for Ev
Authors: Shruthi Rayarapu , Kuamr Rajagiri Anil , Anusha Bonala , Uma Megavath , Sree Samanvitha Nadella
Published: June 2023

This paper proposes a zeta converter-based battery charger. A Zeta converter is a DC-DC converter that has non inverted output and works as buck-boost converter. The converter output can be adjusted to get maximum power from the PV system. This power is used to charge the EV battery. Using P & O method Simulation is done through MATLAB The Hardware consists of Zeta Converter which is fed through PV Array and the converter is triggered using Arduino nano, therefore battery gets charged by Zeta Converter.
Analysis, Monitoring and Control of Speed Variations for Various Applications of SRM Motor with ESP32 and Thing speak
Authors: Devi P Sri Vidya , G Akhila , K Manasa , G Revathi , S Deekshitha
Published: June 2023

Due to the growing demand for and growth in the electric vehicle (EV) market in a future civilization with advanced technology. Electric vehicles outperform traditional ones in terms of performance. Because they are environmentally friendly, EVs can help create a green and sustainable environment. They provide convenience with eco-friendliness that conventional cars cannot. Over the past 20 years, the switching reluctance motor (SRM) drive has been created and researched as a revolutionary electrical drive. The brushless switching reluctance motor drive has developed to the point that it may be used in the industrial sector as a reliable, durable, and cost- effective brushless drive with a wide speed range. In this paper, artificial intelligent controllers like Fuzzy Logic Controllers (FLC), and PID are discussed where SRM speed fluctuations are monitored and controlled by a controller using simulation analysis. Experimental analysis is carried out with prototype model. Here various speed variations are controlled and monitored using the ESP32 and Thing Speak cloud platform.
Wind-Solar Hybrid System for Domestic Utility
Authors: Rekha M. , Laxman K. , Vamshikrishna J. , Lohith M. , Pranavrai P.
Published: June 2023

Wind-Solar Hybrid System is one of the major growing industries that can change the way using of electricity. In this era of emerging technologies, it is safe to say that the idea of Wind Solar Hybrid system technologies and to use the renewable energy sources for various tasks are some of the areas where there is a lot of scope and innovation is going on. Because wind and solar energy complement one another, the system can generate electricity almost all year long. The wind aero generator and tower, solar photovoltaic panels, batteries, wires, charge controller, and inverter are the essential elements of the wind solar hybrid system. The electricity produced by the wind-solar hybrid system can be utilised to run AC appliances as well as charge batteries. This project majorly deals with the consistent power supply, reliable energy provision and backup power. This project can also reduce the usage of energy from the grid, this may cause reducing the production of thermal energy.
Characterization of Peppermint Plant Extract and Antimicrobial Activity
Authors: Khaled Donia Waleed
Published: June 2023

The use of plant extracts in the medical and pharmacological fields have been increased in the last years. The plants have shown to possess materials with important features that can be used as a treatment in multiple health risks such as inflammation, cardiovascular disorders, bacteria and fungus. Peppermint was used extensively as medical herbs and have given a remarkable results. We aimed to prepare water and alcoholic (methanol) extract of peppermint leaves and characterize the presence of some phytochemical compounds qualitatively, along with some trace elements (copper, zinc and selenium). The antimicrobial activity of peppermint extract was investigated against two Gram negative escherichia coli as well as klebsiella sp, also two Gram positive bacterial strains Staphylococcus epidermidis as well as Staphylococcus aureus, as well as one fungi (Candida albicans). We have obtained the presence of flavonoids, polyphenolic compounds, steroids, carbohydrate, and protein contents in the extract of peppermint. Copper, zinc and selenium levels were detected in good amount in the extract. Furthermore, both water and methanol extract of peppermint have shown good antimicrobial activity against the experimented strains. Nevertheless, the extraction by methanol have shown more powerful activity than water against all strains.
Antioxidant Activity of Silver Nanoparticles Prepared from Capsicum Annuum (Bell Pepper) Extract
Authors: Fathallah Thura Zayad
Published: June 2023

Vegetables have reported to contain high content of wide verity of important phytochemicals that can be used in medical approach. Bell pepper are one of the most important vegetables that can be used as spice in foods, as well as it has a diversity of the phytochemical compounds. Carotenoids, vitamin A, vitamin C, polyphenolic compounds and other metabolites were found in bell peppers of all colors. Red pepper is characterized by its high content of β-carotene. Our goal was to prepare an aqueous red pepper extract solution and use it to synthesize Ag NPs, then examine the antioxidant activity of the extract and the nanoparticle solutions. Ag NPs were prepared at room temperature by utilizing the aqueous red pepper extract solution as well as characterized by using UV-Vis spectrophotometry and field emission scanning electron microscope. The characterization result has shown the presence of Ag NPs in particle average of approximately 58 nm. The antioxidant activity was determined by using a DPPH assay, where ascorbic acid has shown IC50 of 23.71 μg/mL which was lower than Ag NPs (IC50 = 43.72 μg/mL). The best antioxidant behavior was obtained from the red pepper extract solution (IC50 = 17.26 μg/mL). This may attributed to the high content of phytochemicals in the extract solution. Importantly, the use of red pepper extract solution in preparing AgNPs have shown to improve their antioxidant activity, which is considered as good additive to the medical features of Ag NPs.
Synthesis of Pd nanoparticle and study the effect on Adenosine amino hydrolase (ADA) enzyme activity in blood serum
Authors: Abdalhuseen Rasha Ali
Published: June 2023

Chemical reduction with trisodium citrate as the reducing agent resulted in the successful formation of palladium nanoparticles (Pd NPs), and all of the material's components were synthesised in double-distilled water. UV-vis spectroscopy, X-ray diffraction, with Transmission Electron Microscopy were all utilised to investigate the Pd nanoparticles. According to TEM investigations, the average size of the Pd nanoparticles formed was 13.5 - 45 nm. Serum adenosine deaminase (ADA) activity in atherosclerosis patients was tested to see if Pd NPs had any effect. Serum ADA activity was considerably higher in individuals with atherosclerotic disease, both in those treated with Pd nanoparticles and in those who were not (P<0.01). Pd nanoparticles significantly lowered blood levels of ADA activity in atherosclerotic disease patients compared to those who did not receive Pd nanoparticles.