bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation and pulsed fiber laser applications of emerging nanostructured materials
Authors: Li Min , Hao Yabin , Wageh Swelm , Al-Hartomy Omar A. , Kalam Abul , Zhang Han
Published: June 2023

This review provides recent advances of preparation and pulsed fiber laser applications of emerging nanostructured materials. The preparation methods and applications of these materials as the saturable absorbers in pulsed fiber lasers are provided.
Model-based evaluation and data requirements for parallel kinetic experimentation and data-driven reaction identification and optimization
Authors: Jiscoot Nathan , Uslamin Evgeny A. , Pidko Evgeny A.
Published: June 2023

Chemfit uses kinetic data to facilitate the discovery of rates within chemical models, the quantification of chemical model accuracy, and the exploration of data quality and quantity requirements needed for reliable kinetic parameter discovery.
Thermochromism of rapid responses to temperature changes versus mechanochromism in a Ni-dithiolene complex salt
Authors: Xu Lei , Wang Yi-Ming , Feng Zi-Heng , Qian Yin , Gao Yan , Tian Zheng-Fang , Ren Xiao-Ming
Published: June 2023

A mixed stack Ni-dithiolene salt displays a structural phase transition, leading to a rapid and reversible thermochromism and dielectric anomaly, besides near-IR absorbance and high permittivity.
A bottom-up understanding of the ligand-dominated formation of metallic nanoparticle electrodes with high broadband reflectance for enabling fully solution-processed large-area organic solar cells
Authors: Zheng Jiawei , He Xinjun , Zhang Yuniu , Lyu Benzheng , Kim Jinwook , Li Shiang , Lu Xinhui , Su Haibin , Choy Wallace C. H.
Published: June 2023

Understanding the ligand-dominant impact on silver nanoparticles aids in the realization of compact-packed silver nanoparticle electrodes with high broadband reflectance, resulting in an evaporation-free large-area organic solar cell.
Converting bulk MoSi2 alloy to a SiOx based anode material through controlled oxidation induced sublimation
Authors: Zhuang Dingyue , Zhang Yuanyuan , He Ruhan , Ren Jingke , Li Qi , Mai Liqiang , Zhou Liang
Published: June 2023

A facile controlled oxidation induced sublimation strategy has been developed to convert MoSi2 alloy into a micron-sized SiOx/MoSi2 anode material (SiMoO-800) with a high capacity, ideal durability, and good rate performance.
Taurine as a powerful passivator of perovskite layer for efficient and stable perovskite solar cells
Authors: Hou Xian , Yuan Zhenjia , Liu Jinlong , Ma Hongzhen , Yu Fucheng
Published: June 2023

Taurine with –SOOOH group and –NH2group can effectively bound with the uncoordinated Pb2+and I−defects in MAPbI3perovskite light absorb layer, which can significantly enhance the device PCE and stability.
Magnetic separation of immobilized biocatalyst enables continuous manufacturing with a solids-forming reaction
Authors: Lagerman Colton E. , Marshall Grant D. , McDonald Matthew A. , Harris Patrick R. , Grover Martha A. , Rousseau Ronald W. , Bommarius Andreas S.
Published: June 2023

A new application of magnetic separation suitable for micron-scale solid–solid separation is designed and demonstrated on a pilot plant scale synthesis of amoxicillin trihydrate.
Characterization of sulfur and chlorine behavior during pyrolysis of biomass and waste
Authors: Braidy Hala , Valin Sylvie , Patisson Fabrice
Published: June 2023

The aim of this study is to characterize the behavior of sulfur and chlorine during the pyrolysis of biomasses (agricultural residues) and waste components (cardboard, wool, and PVC), selected for their different compositions and ash contents.
Effect of bionic hexagonal texture on squeezing films inside soft contacts with high adhesion and high friction
Authors: Su Binbin , Ye Jianhe , Zou Xianghe , Huang Lirong , Wang Xiaolei
Published: June 2023

To understand the mechanisms of high friction and high adhesion in bioinspired textured surfaces under wet conditions, the evolution behavior of squeezing films across lubricated interfaces is experimentally investigated using optical interferometry.
Contact line motion in dewetted polymer droplets on anisotropic nanopatterned surfaces
Authors: Saikiran Pichkari , Purnima D. , Bhandaru Nandini
Published: June 2023

Large dewetted polymer drops on anisotropic nano patterned substrates show a unique shape transition from anisotropic to isotropic in a repeatable manner with continuous motion of the three-phase contact line when exposed to solvent vapors.
Twist angle can expand charge carrier diffusion length in bilayer black phosphorus: ab initio quantum dynamics
Authors: Zhu Yonghao , Long Run
Published: June 2023

Focusing on bilayer black phosphorus (BP) and performing nonadiabatic molecular dynamic (NA-MD) simulations, we demonstrate that appropriate twist angles can significantly improve the charge carrier lifetime and diffusion length.
Sacrificial Mo–S modification and P-doping co-assisted activation strategy to enhance the electrochemical performance of cobalt carbonate hydroxide hydrate
Authors: Xiao Ting , Wang Zhixin , Jiang Tao , Yao Yushuai , Jiang Lihua , Xiang Peng , Ni Shibing , Chen Weifeng , Tao Fujun , Tan Xinyu
Published: June 2023

Sacrificial Mo–S modification and P-doping co-assisted activation strategy has been developed to significantly increase the electrochemical performance of the electrode material.
Facet-dependent peroxo species regulate product distribution and H2O2utilization in CeO2-catalyzed aniline oxidation
Authors: Tian Linyuan , Liao Yin-Song , Chou Jyh-Pin , Tan Zicong , Chen Jian Lin , Lee Jung-Hoon , Benedict Lo Tsz Woon , Peng Yung-Kang
Published: June 2023

We showed that the coordination structure of the Ce sites affects the configuration (and reactivity) of the surface peroxo species in H2O2activation, which determines the product distribution and H2O2utilization in the aniline oxidation reaction.
A graphitic carbon nitride-coated quartz crystal microbalance gas sensor for H2 detection
Authors: Ishiguro Yasushi , Nishitani Taira , Li Can , Hirakuri Kenji
Published: June 2023

The quartz crystal microbalance (QCM) technique based on graphitic carbon nitride (g-C3N4) modified QCM electrodes has been successfully used to detect H2 gas without the need for noble metal composite materials, and heating for operation.
Rethinking Literacy Intervention: Addressing a Practice Gap With Best Practices From Multisensory Structured Language Approaches
Authors: Bowers Lisa M. , Ramsdell Heather L.
Published: June 2023

Purpose:

Dyslexia is increasingly being defined, assessed, diagnosed, and treated in the educational system. The purpose of this clinical focus article is to elucidate ways in which speech-language pathologists (SLPs) can rethink how to implement literacy interventions to incorporate best practices from multisensory structured language (MSL) approaches and how they can be influential participants in the conversations of how to define and implement services for students who have written language disorders, including dyslexia, in the school setting.

Method:

This clinical focus article provides an operational definition of dyslexia, discusses the various roles and responsibilities of SLPs with respect to dyslexia, and describes the well-established evidence-based practices of MSL approaches as a means of rethinking literacy intervention.

Results:

Using a case study scenario based on an individual diagnosed with dyslexia, this clinical focus article presents similarities and differences between traditional speech-language pathology intervention approaches and MSL approaches to literacy intervention.

Conclusions:

MSL strategies may be considered in literacy intervention as a means to optimize the academic gains of children with dyslexia in a school setting. Furthermore, SLPs should be considered integral participants in discussions of policies and practices related to the diagnosis and treatment of literacy disorders, including dyslexia.

Supplemental Material:

https://doi.org/10.23641/asha.23228483
Nitrogen fractionation in ammonia and its insights into nitrogen chemistry
Authors: Redaelli E. , Bizzocchi L. , Caselli P. , Pineda J. E.
Published: June 2023

Context. Observations of the nitrogen isotopic ratio 14N/15N in the interstellar medium are becoming more frequent thanks to increased telescope capabilities. However, interpreting these data is still puzzling. In particular, measurements of 14N/15N in diazenylium have revealed high levels of anti-fractionation in cold cores, which is challenging to explain.

Aims. By using astrophysical simulations coupled with a gas-grain chemical code, it has been suggested that the 15N-depletion in prestellar cores could be inherited from the initial stages, when 14N15N is selectively photodissociated and 15N atoms deplete onto the dust grain, forming ammonia ices. Our aim is to test this hypothesis.

Methods. We targeted three sources (the prestellar core L1544, the protostellar envelope IRAS4A, and the shocked region L1157-B1) with distinct degrees of desorption or sputtering of the ammonia ices. We observed the ammonia isotopologues with the Green Bank Telescope, and we inferred the ammonia 14N/15N via spectral fitting of the observed inversion transitions.

Results.15NH3 (1,1) is detected in L1544 and IRAS4A, whilst only upper limits are deduced in L1157-B1. The NH3 isotopic ratio is significantly lower towards the protostar (14N/15N = 210 ± 50) than at the centre of L1544 (14N/15N = 390 ± 40), where it is consistent with the elemental value. We also present the first spatially resolved map of NH3 nitrogen isotopic ratio towards L1544.

Conclusions. Our results are in agreement with the hypothesis that ammonia ices are enriched in 15N, leading to a decrease in the 14N/15N ratio when the ices are sublimated back into the gas phase for instance due to the temperature rise in protostellar envelopes. The ammonia 14N/15N value at the centre of L1544 is a factor of 2 lower than that of N2H+, which can be explained if a significant fraction of nitrogen remains in atomic form and if the ammonia formed on the dust grains is released in the gas phase via non-thermal desorption.
Experimental study on black cotton soil treated with xanthan gum and palm oil fuel ash
Authors: Pavan Sai Gopal Kundeti , Shyam Chamberlin Karri
Published: June 2023

This paper presents the results of the laboratory evaluation of black cotton soil stabilized with Palm Oil Fuel Ash(POFA) and Xanthan Gum(XG), to determine its suitability as reliable construction material. POFA, a major byproduct of the palm oil industry is being dumped into open fields which can cause environmental problems. Using POFA as an additive in soil stabilization can be an eco-friendly and sustainable practice. XG which is generally used as a thickening agent in the food and pharmaceutical industries is used in this study as a binding material. Several influential properties such as UCS, CBR, Compaction characteristics, and Atterberg limits were found for control samples and compared with the samples treated with different percentages of POFA and XG ratio and on different curing periods. The tests are performed by varying the POFA (0-25%) while keeping the XG constant at 1% to the weight of dry soil. The specimens were cured for different curing periods. There is a significant change in the shear strength of the soil as the UCS value increased by 374% and the CBR value increased by 379% when the control sample is compared with those of treated samples with 20% POFA+1% XG at 90-day curing period.
The Roles of Surfactant in Tribology Applications of Recent Technology; an overview
Authors: Adetunla Adedotun , Afolalu Sunday , Jen Tien-Chien , Ogundana Ayodele
Published: June 2023

In managing friction, wear, and lubricant qualities such as emulsification, demulsification, bio resistance, oxidation resistance, rust prevention, and corrosion resistance, surfactants play a crucial role in tribology. This is an important topic for the development of new materials and gadgets, particularly those created at the Nano-scale. The tribological characteristics of cutting fluids, lubricant performance in relation to steel surfaces, bio lubricants, and novel materials and approaches to friction and wear reduction will all be covered in this most recent edition.

Numerous industries place a high priority on surface science and tribology. Almost all consumer and industrial products are manufactured and used with the aid of sophisticated surface and tribological knowledge.Amphiphilic molecules are those that function as surface-active agents or surfactants. Their tails are hydrophobic while their heads are polar, or hydrophilic. They are dispersible in both water and organic solvents. This article introduces surfactants' nature and physical traits with a focus on their importance in modern science and technology. The primary property of surfactant molecules is the ability to self-assemble into micelles, which gives us a way to apply surfactants. The study of the surfactants results in a number of practical application areas, including food, health and personal care goods, biological systems, mineral and petroleum processing, and even nanotechnology. The organisms, food manufacturing, crop protection, personal care products, mineral and petroleum processing, and other practical application areas serve as examples of what these in turn give rise to a range of operational application domains.
Image Quality Enhancement for Wheat rust Diseased Leaf Image using Histogram Equalization & CLAHE
Authors: Sai Varkala Tarun , Sai Akhil Nallam Eswara , Jashnavi Tandra Jaya Mallika , Kanakala Naga Venkata Kashim
Published: June 2023

In the domain of agriculture, few crops play an important role as wheat is one of them. It is one of the most important one’s across the globe. Nearly providing 15% food production across the world, it is also a winter cereal crop and a most essential food. The real challenge is to enhance the images of wheat crop in the agricultural area. because some of these are captured in real space environments may not be that clear to predict the type of disease of the crop that it is suffering from. So, we enhance the captured images using few existing techniques using the image histograms and the further details are extracted from these enhanced images, which make the disease judgement easy. We try to enhance the pixel intensity of the image using histogram equalization technique and by exploring various other models which deal with CLAHE which stands for Contrast Limited Adaptive Histogram Equalization then we finally conclude with results of the enhanced image by comparing with the originally clicked images which has fine detailed information about the rust in the crop.
A Review Paper on Thermal Performance of Pulsating Heat Pipe
Authors: Suresh J. Venkata , Bhramara P. , Manisha B. , Ishitha K. , Nagalakshmi R. , subbiah Ram
Published: June 2023

In past few years, as indirect convection cooling equipment, heat pipes have grown in favour for a variety of uses, including heat recovery and electronics. A sensible heat is categorized as not having a filter arrangement as a “pulsating heat pipe”. It transfers heat from its evaporator to condenser portions by moving the circulating flow back and forth a reaction of its ongoing phase shift that occurs inside of it. It is difficult to truly understand how it operates since the two-phase flow is the result of combining physical and thermodynamic factors. Despite this, the PHPs have caught the interest of researchers all over the world because of its simple design and large several scenarios necessitating an elevated heat transfer rate. Presented here begins and a preface outlining several researchers’ trying to model experimental explain how PHPs work. A short tabular review of the most recent experimental investigations on PHPs is offered. Novel ideas have been explored, including the use of Nano-fluids to improve PHP performance.
An Overview- Advances in Chromatographic Techniques in Phytochemistry
Authors: Vij Ishita , Pathania Anuradha
Published: June 2023

The basic idea of the Chromatographic process is that the distinct compounds have different properties like solubility, adsorption, ion exchange, and affinity that can be regulated through various separation mechanisms causing the analytes to travel through the stationary phase at different speeds, resulting in their separation from a complex mixture. The Chromatographic techniques have been explored as multidimensional, which has been growing and evolving due to continuous advancements in technology allowing it to meet the upcoming challenges and analytical demands in various scientific scenarios including academics and industries. Phytochemistry is one of the oldest core areas of research in science where one of the major challenges in drug discovery from natural sources is the identification and isolation of closely related active molecules within these complex to the observed biological activities therefore there is utmost need to better understand their intrinsic complexity and exploit their vast commercial potential. Nowadays the hyphenated techniques with one component as the chromatographic technique have been widely explored as inevitable analytical tools for early detection and identification of bioactive compounds and driving forces in the evolution and discoveries in phytochemistry from crude plant extracts that boosted mainly due to rapid technological advancements in instrumentation. It’s also significant as an intellectual method for phytotherapeutic quality control and regulation. In the present review, we have discussed the advances and insight of chromatographic techniques which can be explored for comprehensive chemical profiles of herbal medicine preparations or extracts in phytochemistry. The review provides a systematic update of the recent advancement and published approaches to methodology in phytochemistry.
Microstructural and Strengthening properties of TIG and MIG welding- An Overview
Authors: Lawal Sunday L. , Afolalu Sunday A. , Jen Tien-Chien , Akinlabi Esther T.
Published: June 2023

The study focused on the standalone TIG and MIG welding and the combined effect, emphasizing the microstructural properties and strength of the welded joint, especially the heat-affected zone. The literature study revealed that both welding techniques and their combination have full penetration in terms of the weld, and the HAZ for TIG-MIG has a larger width in comparison with TIG and MIG. TIG-MIG joints usually demonstrate ductile fracture compared with standalone MIG or TIG welded joints. However, it is characterized by adequate properties like tensile strength compared with the TIG and MIG welding processes. In addition, a comparison between the TIG-MIG techniques and the traditional MIG welding revealed a refined appearance in the joint, as revealed by several microstructures of the joints.
Optimization Process Parameters in Testing of Wear properties of Aluminium Alloy 6082
Authors: Aishwarya Patlolla , Vaisshnavi G.P. , reddy Alluri. Namitha , Sateesh N.
Published: June 2023

When the two materials are in contact in motion, wear rate of the materials taken an important role. Aluminium alloys used in many applications like automobile components, aerospace components, home appliances, machine tool components. Advanced aluminium alloys are used in aerospace components. In this project wear studies of advanced aluminium alloys are carried using pin-on-disc machine three processing parameters considered are Load, Time and Speed. Twenty seven samples ae been tested to find wear rate of aluminium alloys. A Taguchi method is applied to find optimization process parameters which are having minimum wear rate. Aluminium alloy 6082 has a medium strength and good corrosion resistance. It is the strongest alloy
The Distributed Deep Learning Paradigms for Detection of Weeds from Crops in Indian Agricultural Farms
Authors: Subbarayudu Yerragudipadu , Soppadandi Adithi , Vyamasani Shreya , Bandanadam Supriya
Published: June 2023

Weeds are a major threat to crops, making early detection critical for maintaining agricultural productivity. Weeds are generally toxic, equipped with thorns and burrs, and can disrupt crop management by contaminating harvests. This research aims to identify weeds in a field using image processing and deep learning techniques. Images were collected from an Indian farm and pre-processed using image processing techniques. The images were then analysed to extract features that distinguish between weed and crop properties. Traditional crop weed identification methods mainly focused on identifying weeds directly but weed species can vary significantly. This study proposes a method that combines deep learning and image processing technology. Identifying weeds in crops is a challenging task that has been addressed through image processing, feature extraction, and image labelling to train deep learning algorithms. The study examines the performance of various deep learning algorithms and convolution neural networks to detect weeds using images obtained from an Indian crop field. Once the input image is identified as a weed or not, the crop class prediction is made. These results could have significant implications for optimizing agricultural fertilizer usage, leading to increased crop yields and less environmental impact.
Handwritten Character Recognition to Obtain Editable Text
Authors: Pravalika Jella , Korla Sitara , Kavya Erra , Sravani
Published: June 2023

Optical character recognition involves distinguishing, grouping, and, in specific cases, remedying optical images/designs in a computerized picture. Online printed text, disconnected text, and transcribed reports may be in every way focused on for acknowledgment. Various applications, for example, postal addresses, be handled rapidly. Character acknowledgment depends intensely on division, include extraction, and grouping draws near. To successfully deal with message, an OCR goes through many stages, including optical checking, area division, pre-handling, division, portrayal, highlight extraction, preparing and acknowledgment, and post-handling. Random Forest, Decision Tree, MLP, and KNN might be utilized in the preparation stage to make the framework more effective at handling a lot of information. Transcribed text acknowledgment is a functioning subject of study. A few OCR strategies and their impediments are, covered as well as an outline of the forecast Season of Random Forest, Decision Tree, MLP, and KNN based frameworks. We upgrade this thought by adding picture and sound sources of info.
Offline Signature Verification Using Image Processing
Authors: Shaik Bushra , Manohar Katikireddy Jyothi , Kambham Vamsidhar , Sravani K.
Published: June 2023

A person’s signature is merely a handwritten sign that closely resembles his/her name, frequently stylized and distinctive, and that expresses the person’s identity, intent, and consent. Two types of verifications are present. They are online signature verification and offline signature verification. Generally, Offline Signature verification is less efficient and slower process compare to online verification when come to the situation having larger number of documents and files to verify with in less time. Over the years, many researchers have developed so many methods for signature verifications to help the people or organizations to find whether the signature of a particular person is forged or genuine. To overcome this problems; In this paper we introduced a simple method to improve the verification of the signature in Image Processing using Convolution Neural Networks(CNN).

Signature Verification it is used to authenticate various kinds of documents, including cheques, draughts, certificates, approvals, letters, and other legal ones, such verification is crucial for preventing document forgery and falsification. Previously, to verify a signature, it was manually checked against copies of real signatures. This straightforward approach might not be sufficient given that forgery and signature fraud techniques are becoming more sophisticated as a result of improving technology.
An Efficient Novel Approach on Machine Learning Paradigmsfor Food Delivery Company through Demand Forecastıng in societal community
Authors: Yerragudipadu Subbarayudu , Gurram Vijendar Reddy , Sri Rayapudi Navya , Bingi Bhavana , Gollapalli Likhitha , peddapatlolla Ukritha
Published: June 2023

A food delivery business must be able to accurately forecast demand on a daily and weekly basis since it deals with a lot of perishable raw components. A warehouse that keeps too much inventory runs the danger of wasting items, whereas a warehouse that maintains too little inventory runs the risk of running out of stock, which might lead consumers to switch to your competitors. Planning for purchasing is essential because most raw materials are perishable and delivered on a weekly basis. For this issue to be resolved, demand forecasting is crucial. With the aid of historical data-driven predictive research, demand forecasting determines and forecasts future consumer demand for a good or service. By predicting future sales and revenues, demand forecasting assists the organisation in making more educated supply decisions. Regression methods like linear regression, decision trees, and Xgboost are used to overcome this issue.
An Overview of Composites materials and their Machinability in Transport Industries
Authors: Ikumapayi Omolayo M. , Laseinde Opeyeolu T. , Ogedengbe Temitayo S. , Akinwumi Aderonke O. , Oluwafemi Jesutoni R. , Akinlabi Stephen A. , Akinlabi Esther T.
Published: June 2023

Many composite materials are increasingly being used in the technology of many fields of study. They find applications in Aerospace, Civil, Electrical, Marine, Medical fields, etc. In this current study, an overview of all these applications were gathered and then consign the study to an interesting application of composite materials in transportation industries where biocomposites are predominantly used as biomaterials. Biocomposite materials are machinable and require machining procedures in many of their applications, this was extensively highlighted in this study. Also some challenges that stem from their machining were mentioned.
Power factor Enhancement in EV Charger fed by a New Modified BL Converter
Authors: Begum Moshina , Raveendhra D. , Pakkiraiah B.
Published: June 2023

Existing EV chargers use a strong non - linear diode bridge rectifier to deliver Direct Current voltage at the DC-DC converter's input, which degrades input AC current power factor. Due to these issues, typical battery chargers must eliminate the input bridge to improve power factor. This research paper main aim to improve the front end power factor by using bridge less landsman converter. It is combination of PFC converter and isolated fly back converter to operate between constant current and constant voltage modes. The modified PFC should achieve the constant DC-link voltage and improve the power factor up to unity. It also provide the improve in power quality, low device stress, low input and output ripples, and low input current harmonics when compared with bridge converter.
Effects of Plasma Nitriding Process on AISI 304 Stainless Steel
Authors: Kumar P. Ravi , Reddy K. Manivardhan , Mahatme Upendra , Karthik T. , Saravanakumar M. , Suresh J. Venkata , Subbiah Ram
Published: June 2023

AISI 304 stainless steel is a type of austenitic stainless steel that contains a high percentage of chromium and nickel. It is one of the most widely used grades of stainless steel and is commonly used in a variety of applications, including kitchen equipment, food processing equipment, and chemical processing equipment. AISI 304 stainless steel is a versatile and widely used material due to its excellent corrosion resistance, durability, and non-magnetic properties. Low-temperature processes like ion implantation, plasma nitriding can prevent the corrosion resistance of stainless steels by diffusion of plasma into the surface of the material, forming precipitation of Chromium nitride. For this research work, plasma nitriding is carried out on AISI 304 at low-temperatures 550°C for the time duration of 8 hrs, 16 hrs and 32 hrs. The formation of nitrogen-enriched layers with high nitrogen content promoted to increase in surface hardness. Wear test were carried out with pin on disc machine and the samples were undergone with hardness tests. The microstructures of plasma treated samples were compared with untreated microstructures. It was noted that phase change occurred from austenite to expanded austenite forming a hard layer from the surface level improving the wear resistance of the material.
Determination of Oxidative Stress Markers in Women with Polycystic Ovarian Syndrome
Authors: Saleh Amal Mofak
Published: June 2023

Polycystic ovarian syndrome (PCOS) is a condition that increases the risk of metabolic diseases, such as insulin resistance, diabetes mellitus, and obesity, among others. Oxidative stress is a state of elevated oxidants and reduced antioxidants, which can be detrimental to the body. Reduced glutathione (GSH) is an important material with antioxidant properties. This study aimed to investigate the status of oxidative stress in PCOS women by measuring total oxidant status (TOS) and GSH in their serum, and explore the possibility of using oxidative stress biomarkers in the diagnosis of the disease. The study included 60 women with PCOS and 30 women without PCOS as controls. PCOS women had significantly higher values of body mass index, testosterone, and TOS, while GSH levels were significantly reduced. There was also a significant negative correlation between TOS and GSH levels in PCOS women. These findings indicate that PCOS women exhibit systemic oxidative stress, and suggest the use of anti-oxidative drugs to manage the health consequences of PCOS. The study demonstrates the excellent sensitivity of TOS and GSH as prognostic biomarkers for PCOS.
Reduced Common Mode Multilevel Inverter Strategy in Photovoltaic Systems
Authors: Priyanka G. , Kumari J. Surya , Lenine D. , Tummala Suresh Kumar , Al-Jawahry Hassan Mohmmed , Gupta Harshit
Published: June 2023

Now-a-days, non-conventional energy sources are playing a vital role in the generation of electrical energy. This is due to the disadvantages in the conventional sources like pollution, non-availability of the resources, greenhouse effect. Hence more concentration is made by the researcher’s on these non-conventional sources so called as renewable energy sources. These renewable sources are used with the converters along with filters to give the best output. In this work, we are focusing on the renewable energy called solar energy and hence the converter is inverter in this case. Basically we have conventional inverters as well as multilevel inverters. Multilevel inverters are basically classified into three types and they are cascaded H-bridge multilevel inverter, diode clamped multilevel inverter, flying capacitor multilevel inverter. Among these cascaded multilevel inverter as many advantages like reduced number of components. This advantage is being used in this work and is simulated by using MATLAB.
Smart Helmet based Accident Detection and Notification System for Two-Wheeler Motor Cycles
Authors: Kumar M. Kiran , Balbudhe Aniruddha , Karthikeya CH. Sai
Published: June 2023

It’s common knowledge that modern youth gravitate toward two-wheeled transportation. Drinking and driving and excessive speeding are also widespread problems today. Road accidents are responsible for the deaths of thousands of individuals every year. The primary cause of this is the tardiness of emergency aid that should have been given to the victims. Using the Internet of Things, smart helmets will be able to identify accidents and send alerts to nearby emergency services as well as medical facilities. In this case, an accelerometer module is used to detect accidents by constantly monitoring the deviations from the normal conditions. In the event of a collision, the exact location of the rider can be determined and forwarded to the relevant authorities. The primary function of this system is to transmit accurate information related to the accident in the form of text messages and phone calls to predetermined contacts.
Quantifying the Impact of Soil Moisture Sensor Technology on Crop Productivity in Smart Gardening Systems
Authors: Kumar Mamidi Kiran , Cherukuri Rahul , Reddy Anugu Bhavith
Published: June 2023

Water is a valuable resource, but not all communities can afford to use it liberally. It is now crucial to use the water that is available as effectively as possible, particularly in agriculture. An unattended ground moisture sensor can be used to monitor the present moisture level in the soil surrounding the plants in order to decrease overwatering of crops. So, a farmer will be able to decide when to water and when to stop. The user should receive the moisture data information wirelessly for convenience. It is detailed how to develop a wireless communication and user interface system for an unattended ground moisture sensor. The Wheat stone bridge for determining il is followed by a differential amplifier in the resistance of the sensor design. Transforming the resistance that was measured into a voltage. This is carried out because resistance and moisture are correlated. A Lora communication transmitting node sends this voltage together with a Lora communication receiving node, where a microcontroller interprets it as moisture data. The receiving node then transmits the data to a PC host so the user can access it. a power circuit that uses a linear regulator and a battery.
Locker Security System using Internet of Things
Authors: Shruthi CH. M. , Bandari Sai Kumar , Reddy Ala Chandra Kiran , Reddy Muralidhar
Published: June 2023

As a priority in today's society, security is of highest importance, and safeguarding our properties from intruders is no small task. The main objective of the offenders is to obtain valuable items kept in the locker. To address this issue, an Android application called Locker Security System uses Internet of Things (IoT) technology to monitor the locker's condition and enhance security. The project is based on ESP32 micro controller installed along with PIR sensor is implemented in the locker to detect the movement and magnetic switches to know whether the door is locked or unlocked, When the intruder opens the locker by force it detects the status of locker door using magnetic switch sensor and the motion of his hand inside the locker using PIR sensor, the data is uploaded to the firebase linked with the mobile app. If a burglary is detected it sends an alert notification message to the mobile immediately using twilio cloud and the buzzer is also rung in the mobile application. The PIR sensor can detect the motion accurately up to 6 metres .The further advancements would include equipping the locker with a camera. The locker would be equipped with a camera so that, in the event of an intrusion, it would record the intruder's image and send it to the user via the mobile application. The police can be informed about the burglary using the mobile application along with an image sent of the burglary.
Forest Fire Detection with GPS using IoT
Authors: Arun K. , Kumar R. P. Ram , Kappaganthu Abhiram , Samindla Pruthvi
Published: June 2023

Today's developing world makes environmental protection absolutely necessary. Numerous natural and man-made disasters were happening all around the planet. Forest fires are one such environmental catastrophe. Once it starts, the fire in the dense forest quickly engulfs the entire region, consuming everything in its path and igniting everything. On hot days, fire spreads more easily due to the dry conditions, decimating the grasses and trees in forested areas. To protect the ecosystems of the forest's flora and fauna, such forest fire calamities must be diminished. The objective of this endeavour is to create and put into use an Internet of Things (IoT)-based system that can anticipate and identify forest fires, alert the appropriate authorities to their specific location, and help firefighters put out the fire when it first starts. This would prevent the fire from engulfing a big area and allow for the implementation of preventative measures to put out any fires that might start in the near future.
IoT-based Dual Technology Motion Detector
Authors: Kumari Machikuri Santoshi , Tejesh Annavarapu , Aakash Gudimati , Kiran Billa Sai , Nagaraj Islavath
Published: June 2023

Home security has become a prime concern in recent years. As technology is emerging every second, abundant IoT-based smart surveillance systems have been developed and implemented with many modern features to keep the home safe. The proposed project is an extended approach to the existing home security system. The project aims to reduce false alarm rates of the existing home security system by using a Dual Technology motion sensor. Dual-technology sensors are sensors that combine two different types of technology. The dual-technology sensor uses both PIR and ultrasonic sensors, activating the trigger only when both sensors detect any motion of an object. The proposed setup effectively reduces false alarms caused by inanimate objects. The trigger caused by the Dual Technology sensor sends a message alert to the specified phone number through the Twilio Programmable Messaging API. Ultrasonic technology is sensitive to motion toward and away from the detector; passive infrared technology (PIR) is sensitive to motion across the field of view. The future implications of the project are great as it can also be used in the Automation of lighting in homes, offices, and libraries.
Home Automation Based on IoT
Authors: Karuna G. , Kumar R. P. Ram , Kapse Rajeshwari , Revulagadda Swathi
Published: June 2023

The next iteration of the internet is called the Internet of Things (IoT). The internet of things (IoT) describes the hardware parts that are connected and talk to one another over the internet. Automation technology is an additional advantage of IoT. Life has gotten simpler and more open-ended thanks to improvements in automation technologies. Since there are more people using the internet than ever before thanks to recent technological advancements, everyone's life is now completely surrounded by it. Wireless Home Automation using IoT is a system that uses mobile or computers to control the components of the home. By enabling customers to control appliances anywhere in the world, home automation sets itself apart from other solutions.
Parameter estimation and analysis of BLDC motor drive for electric vehicles application
Authors: Awaar Vinay Kumar , Simhadri Rajshri , Jalla Tharuni , Bagari Mounika , Aggarapu Siri , Abbas A. Hussien
Published: June 2023

This paper focuses on motor parameters of the Brushless DC motor. This main goal of this work is to demonstrate that BLDC motors are the best electric motor for electric vehicles. Due to their increased efficiency and reduced maintenance requirements, brushless DC motors are used. The paper proposes a framework to analyze Brushless DC motor characteristics using Code Composer Studio software and InstaSpin BLDC GUI. The framework's features, experimental results, and potential benefits are likely discussed in the paper. Simulink is used to resemble a BLDC motor with an ideal Back-Electro Motive Force (BEMF) voltage and its control drive. Experimental results have confirmed that the BLDC motor driving model predicts BLDC motor operation properly. Additionally, the BLDC motor parameter are estimated using Field-Oriented Control (FOC) mode. Both the simulation results and the hardware results have been presented.
Improving the Accuracy in Lung Cancer Detection Using NN Classifier
Authors: M.K. Linga Murthy , S. Vinod , S. Koundinya , Babu Nagendra , C. Venkataiah , Y. Mallikarjuna Rao , Alkhayyat Ahmed , Rana Upasana
Published: June 2023

Lung cancer is a leading cause of cancer-related deaths worldwide, with a high mortality rate and a significant economic burden on health care systems. Traditional screening methods, such as X-rays and CT scans, have limitations in terms of accuracy and efficiency, leading to many cases of lung cancer being diagnosed at a later stage, when treatment options are limited. In this paper, we aim to develop a highly accurate and efficient tool for detecting lung cancer using a NN classifier. We first build a large dataset of medical images and patient data for training and evaluating the NN classifier. The dataset includes a variety of imaging modalities, including CT scans, X-rays, and other medical images. We then develop and train a NN classifier for lung cancer detection, using a deep learning technique. The NN classifiers optimized for high accuracy and efficiency, with the goal of achieving earlier and more accurate diagnosis of lung cancer. We evaluate the performance of the NN classifier using a variety of metrics, including sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC). The classifier is tested on a separate test dataset to ensure that it generalizes well to new data. We also compare the performance of the NN classifier to other traditional screening methods, such as X-rays and CT scans, to determine the potential impact of the NN classifier on lung cancer screening. Finally, we use explainable machine learning technique called as GLCM to identify specific features and patterns in medical images that are indicative of lung cancer. This analysis provides insights into other underlying mechanisms of lung cancer development and may lead to new discoveries and treatment options.
Correlation analysis of atmospheric pollutants and meteorological factors using statistical tools in Pune, Maharashtra
Authors: Khedekar Sneha , Thakare Sunil
Published: June 2023

Air pollution has gotten worse due to the speeding up of urbanisation and industry, and the outlook for pollution control is not promising. A significant worldwide challenge that humanity is currently facing is climate change. India has suggested carbon neutrality and a carbon peak as ways to combat climate change. The intricate link and association between atmospheric contaminants and climatic variables that affect air quality, however, must be further elucidated. This work uses Pune's 2017–2021 high-resolution air pollution reanalysis open data set in conjunction with statistical techniques of the Pearson Correlation Coefficient (PCC) to compute and illustrate the design and analysis of environmental monitoring big data. The PCC is easy to use, immediately showed how contaminants and meteorological conditions relate to one another in time and space, and made environmental management agencies' jobs easier. The experimental results show that all contaminants are positively associated, with the exception of ozone, which is adversely connected. Pollutants are more influenced by meteorological factors than by temperature, which are all positively associated. Due to its strong negative relationship with the five pollutants, wind speed has a greater effect on the dispersion of pollutants.
Seismic analysis of high-rise building with tuned mass damper and core column
Authors: Vaishnavi Mariyala , Satyanarayana G.V.V. , Varma V. Naresh Kumar
Published: June 2023

Earthquakes are one of the most vulnerable disasters that effected many countries including India. Due to continuous ground motions caused by an earthquake the structure gets damaged or even collapses causing human loss, property loss and psychological fear among humans. Many techniques are available to resist the structure from seismic loads like base isolation devices, seismic dampers, shear walls, outrigger structure, braces. All of these devices aid in lowering the structure’s responsiveness, but they also have their limitations. Once a major earthquake strikes the structure, these devices must be replaced. The newest technology structures that use Tunes Mass Damper (TMD) and ancient technology Core Column (central pillar or shinbashira) function better during earthquakes. In order to reduce the vibration of the building, the TMD is tuned to the same damping ratio of the main structure, whereas Core Column is placed at the centre of the building throughout the height. In this project, a 40-storey three dimensional RCC building without any devices, with TMD and with Core Column in seismic zones V, with soil type-medium will be modelled and analysed using SAP2000 v.20 software. As to IS 1893: 2016 Part-1, dynamic analysis, such as Time History analysis of Bhuj 2001 earthquake and El – Centro 1940 earthquake will be performed. Maximum displacement, storey drift, and maximum accelerations are recorded as responses to the analysis. The data from the results are plotted using MATLAB software.
Analysis and design of reinforced concrete silo by conventional method
Authors: Kumar Dumma Umesh , Reddy V. Mallikarjuna
Published: June 2023

Any industrial or organised storage facility needs bulk material storage structures, also referred to as bins, bunkers, silos, or tanks. The ratio of their various dimensions serves as the main defining characteristic between bunkers and silos. Silos are structures that are used for storing different types of granular material. Silos are architectural constructions made especially for storing different kinds of granular materials, such grains and cement. Silos are distinguished by their disproportionately tall lateral dimensions. For instance, massive silos are frequently used to store cement in cement mills and significant construction projects. The project's main goal is to analyse and design a silo made of reinforced cement concrete. The theory adopted for analysis of silo is Janssen’s theory. The silo is designed for storing the cement clinkers with a capacity of 5000 tonnes. The normal pressure calculation during emptying and filling, and maximum pressure calculation has performed. The hoop stresses and Temperature stresses are calculated and hoop tension is calculated for different heights. The assessment of the loads on silo was performed as per IS: 4995 (Part I) - 1974, and for design criteria IS: 4995 (Part II) – 1974 is used.
Evaluation of flexible pavement performance based on HDM-4 and international roughness index
Authors: Harinder D , Anusha P. , Ramesh A. , kamatalam K. Mehaboob Peera
Published: June 2023

The HDM-4 aids in estimating the deterioration of the pavement as well as the intricate interactions between the environment, vehicles, the surface, and the structure of the pavement. It predicts how the roads will deteriorate over time due to the increased traffic. The current study was carried out at Hyderabad, particularly roads which are subjected to the heavy traffic. The study was adopted for Dhulapally to Bahadurpally (DB), Gandimaisamma to Bowrampet (GB), Gandimaisamma to Medchal (GM), and Kompally to Dhulapally (KD). Among these roads commonly observed distress was collected like patches, alligator cracking, pothole, rutting, and edge drop etc. This papers describes the current and future performance of the roads (10 years), the progress of the distress were predicted using the HDM-4. The study addresses the major causes of distress and their reasons of given section. The study concluded the prediction of pavement life for 10 years in terms of IRI values of the different sections. The study revealed the failure of roads section due to distress for the period of 10 years with and without maintenance, it also helps in decision making for apply further maintenance treatment of this particular routes.