bluuebunny/crossref_metadata_2025 huggingface dataset:
An assessment of whether long-term global changes in waves and storm surges have impacted global coastlines
Authors: Ghanavati Mandana , Young Ian , Kirezci Ebru , Ranasinghe Roshanka , Duong Trang Minh , Luijendijk Arjen P.
Published: July 2023

A common inference in research studies of observed and projected changes in global ocean wave height and storm surge, is that such changes are potentially important for long-term coastal management. Despite numerous studies of the impacts of anthropogenic climate change on trends in global wind and waves, a clear link to impacts on sandy coastlines, at global scale, is yet to be demonstrated. This study presents a first-pass assessment of the potential link between historical trends in global wave and storm surge values and recession/progradation rates of sandy coastlines since the 1980s. Global datasets of waves, surge and shoreline change rate are used for this purpose. Over the past 30 + years, we show that there have been clear changes in waves and storm surge at global scale. The data, however, does not show an unequivocal linkage between trends in wave and storm surge climate and sandy shoreline recession/progradation. We conclude that these long-term changes in oceanographic parameters may still be too small to have a measurable impact on shoreline recession/progradation and that primary drivers such as ambient imbalances in the coastal sediment budget may be masking any such linkages.
Microbe-metabolite interaction networks, antibiotic resistance, and in vitro reconstitution of the penile prosthesis biofilm support a paradigm shift from infection to colonization
Authors: Werneburg Glenn T. , Lundy Scott D. , Hettel Daniel , Bajic Petar , Gill Bradley C. , Adler Ava , Mukherjee Sromona D. , Wood Hadley M. , Angermeier Kenneth W. , Shoskes Daniel A. , Miller Aaron W.
Published: July 2023

To understand differences between asymptomatic colonized and infected states of indwelling medical devices, we sought to determine penile prosthesis biofilm composition, microbe-metabolite interaction networks, and association with clinical factors. Patients scheduled for penile prosthesis removal/revision were included. Samples from swabbed devices and controls underwent next-generation sequencing, metabolomics, and culture-based assessments. Biofilm formation from device isolates was reconstituted in a continuous-flow stir tank bioreactor. 93% of 27 analyzed devices harbored demonstrable biofilm. Seven genera including Faecalibaculum and Jeotgalicoccus were more abundant in infected than uninfected device biofilms (p < 0.001). Smokers and those with diabetes mellitus or cardiac disease had lower total normalized microbial counts than those without the conditions (p < 0.001). We identified microbe-metabolite interaction networks enriched in devices explanted for infection and pain. Biofilm formation was recapitulated on medical device materials including silicone, PTFE, polyurethane, and titanium in vitro to facilitate further mechanistic studies. Nearly all penile prosthesis devices harbor biofilms. Staphylococcus and Escherichia, the most common causative organisms of prosthesis infection, had similar abundance irrespective of infection status. A series of other uncommon genera and metabolites were differentially abundant, suggesting a complex microbe-metabolite pattern–rather than a single organism–is responsible for the transition from asymptomatic to infected or painful states.
Machine learning-based prediction of in-ICU mortality in pneumonia patients
Authors: Jeon Eun-Tae , Lee Hyo Jin , Park Tae Yun , Jin Kwang Nam , Ryu Borim , Lee Hyun Woo , Kim Dong Hyun
Published: July 2023

Conventional severity-of-illness scoring systems have shown suboptimal performance for predicting in-intensive care unit (ICU) mortality in patients with severe pneumonia. This study aimed to develop and validate machine learning (ML) models for mortality prediction in patients with severe pneumonia. This retrospective study evaluated patients admitted to the ICU for severe pneumonia between January 2016 and December 2021. The predictive performance was analyzed by comparing the area under the receiver operating characteristic curve (AU-ROC) of ML models to that of conventional severity-of-illness scoring systems. Three ML models were evaluated: (1) logistic regression with L2 regularization, (2) gradient-boosted decision tree (LightGBM), and (3) multilayer perceptron (MLP). Among the 816 pneumonia patients included, 223 (27.3%) patients died. All ML models significantly outperformed the Simplified Acute Physiology Score II (AU-ROC: 0.650 [0.584–0.716] vs 0.820 [0.771–0.869] for logistic regression vs 0.827 [0.777–0.876] for LightGBM 0.838 [0.791–0.884] for MLP; P < 0.001). In the analysis for NRI, the LightGBM and MLP models showed superior reclassification compared with the logistic regression model in predicting in-ICU mortality in all length of stay in the ICU subgroups; all age subgroups; all subgroups with any APACHE II score, PaO2/FiO2 ratio < 200; all subgroups with or without history of respiratory disease; with or without history of CVA or dementia; treatment with mechanical ventilation, and use of inotropic agents. In conclusion, the ML models have excellent performance in predicting in-ICU mortality in patients with severe pneumonia. Moreover, this study highlights the potential advantages of selecting individual ML models for predicting in-ICU mortality in different subgroups.
A multi-parameter tunable plasmon modulator
Authors: Hu Xuefang , Lu Changgui , Zhao Xiangyue , Gu Yinwei , Lu Mengjia , Sun Dechao
Published: July 2023

Multi-parameter control of light is a key functionality to modulate optical signals in photonic integrated circuits for various applications. However, the traditional optical modulators can only control one or two properties of light at the same time. Herein, we propose a hybrid structure which can modulate the amplitude, wavelength and phase of surface plasmon polaritons (SPPs) simultaneously to overcome these limitations. The numerical results show that when the Fermi level of graphene changes from 0.3 to 0.9 eV, the variation of optical transmission, wavelength and phase are 32.7 dB, 428 nm and 306°, respectively. The demonstrated structure triggers an approach for the realization of ultracompact modulation and has potential applications in the fields of optical switches, communications and photo-detection.
Fatty acid oxidation organizes mitochondrial supercomplexes to sustain astrocytic ROS and cognition
Authors: Morant-Ferrando Brenda , Jimenez-Blasco Daniel , Alonso-Batan Paula , Agulla Jesús , Lapresa Rebeca , Garcia-Rodriguez Dario , Yunta-Sanchez Sara , Lopez-Fabuel Irene , Fernandez Emilio , Carmeliet Peter , Almeida Angeles , Garcia-Macia Marina , Bolaños Juan P.
Published: July 2023

Having direct access to brain vasculature, astrocytes can take up available blood nutrients and metabolize them to fulfil their own energy needs and deliver metabolic intermediates to local synapses1,2. These glial cells should be, therefore, metabolically adaptable to swap different substrates. However, in vitro and in vivo studies consistently show that astrocytes are primarily glycolytic3–7, suggesting glucose is their main metabolic precursor. Notably, transcriptomic data8,9 and in vitro10 studies reveal that mouse astrocytes are capable of mitochondrially oxidizing fatty acids and that they can detoxify excess neuronal-derived fatty acids in disease models11,12. Still, the factual metabolic advantage of fatty acid use by astrocytes and its physiological impact on higher-order cerebral functions remain unknown. Here, we show that knockout of carnitine-palmitoyl transferase-1A (CPT1A)—a key enzyme of mitochondrial fatty acid oxidation—in adult mouse astrocytes causes cognitive impairment. Mechanistically, decreased fatty acid oxidation rewired astrocytic pyruvate metabolism to facilitate electron flux through a super-assembled mitochondrial respiratory chain, resulting in attenuation of reactive oxygen species formation. Thus, astrocytes naturally metabolize fatty acids to preserve the mitochondrial respiratory chain in an energetically inefficient disassembled conformation that secures signalling reactive oxygen species and sustains cognitive performance.
Hypergraph factorization for multi-tissue gene expression imputation
Authors: Viñas Ramon , Joshi Chaitanya K. , Georgiev Dobrik , Lin Phillip , Dumitrascu Bianca , Gamazon Eric R. , Liò Pietro
Published: July 2023

Integrating gene expression across tissues and cell types is crucial for understanding the coordinated biological mechanisms that drive disease and characterize homoeostasis. However, traditional multi-tissue integration methods either cannot handle uncollected tissues or rely on genotype information, which is often unavailable and subject to privacy concerns. Here we present HYFA (hypergraph factorization), a parameter-efficient graph representation learning approach for joint imputation of multi-tissue and cell-type gene expression. HYFA is genotype agnostic, supports a variable number of collected tissues per individual, and imposes strong inductive biases to leverage the shared regulatory architecture of tissues and genes. In performance comparison on Genotype–Tissue Expression project data, HYFA achieves superior performance over existing methods, especially when multiple reference tissues are available. The HYFA-imputed dataset can be used to identify replicable regulatory genetic variations (expression quantitative trait loci), with substantial gains over the original incomplete dataset. HYFA can accelerate the effective and scalable integration of tissue and cell-type transcriptome biorepositories.
Heterotrophy, microbiome, and location effects on restoration efficacy of the threatened coral Acropora palmata
Authors: Chapron Leila , Kuffner Ilsa B. , Kemp Dustin W. , Hulver Ann M. , Keister Elise F. , Stathakopoulos Anastasios , Bartlett Lucy A. , Lyons Erin O. , Grottoli Andréa G.
Published: July 2023

The iconic and threatened Caribbean coral, Acropora palmata, is an essential reef-ecosystem engineer. Understanding the processes underpinning this coral’s survival and growth is essential to restoring this foundational species. Here, we compared replicate A. palmata colonies transplanted along 350 km of Florida’s offshore coral reef to determine holobiont and/or environmental variables that predict transplant success. We found a west-to-east gradient in coral physiology coupled with site-specific coral-associated microbiomes. Interestingly, no variables were linked to coral genet. Our results suggest that the unique oceanographic conditions with periodic upwelling events in the Dry Tortugas provide corals with greater opportunity for heterotrophy that in turn enhances coral growth and survivorship, and positively influences the microbiome. Our findings indicate that restoration efforts in the Dry Tortugas, and other places exhibiting higher food availability, could be most effective for A. palmata.
Self-assembled PVP-gold nanostar films as plasmonic substrates for surface-enhanced spectroscopies: influence of the polymeric coating on the enhancement efficiency
Authors: Tatar Andra-Sorina , Boca Sanda , Falamas Alexandra , Cuibus Denisa , Farcău Cosmin
Published: July 2023

High-density, compact self-assembled gold nanostar films were prepared by convective self-assembly. An interplay between the enhanced Raman scattering and emission of fluorophores points toward their SERS/SEF dual detection capability.
Metal-mediated tunability of MOF-based optical modulators
Authors: Kulachenkov Nikita K. , Orlioglo Bogdan , Vasilyev Eugene S. , Povarov Svyatoslav A. , Agafontsev Alexander M. , Bachinin Semyon , Shipilovskikh Sergei , Lunev Artem , Samsonenko Denis G. , Fedin Vladimir P. , Kovalenko Konstantin A. , Milichko Valentin A.
Published: July 2023

We report on the design of 1D MOFs based on a nopinane-annelated organic ligand and Co(ii) or Ni(ii), the variation of which allows tuning the optical modulation bandwidth.
Palladium-catalyzed decarboxylative allylation of vinyloxazolidin-2-ones with sodium sulfinates: stereoselective assembly of highly functionalized (Z)-allylic amines
Authors: Zhou Ledan , Liu Ding , Huang Huashan , Zhang Ke , Ning Yingtang , Chen Fen-Er
Published: July 2023

A novel decarboxylative allylation of vinyloxazolidin-2-ones using sodium sulfinates (NaSO2R) has been achieved, leading to stereoselective construction of highly functionalized (Z)-allylamines.
Rejuvenation of aged graphite anodes from spent lithium-ion batteries via a facile surface treatment strategy
Authors: Zhang Jintao , Yin Xuesong , Wang Wanwan , Tham Nguk Neng , Xing Zhenxiang , Zhang Song Lin , Wang Xiaowei , Liu Zhaolin
Published: July 2023

In this study, we present a facile formic acid treatment to rejuvenate aged graphite anodes from spent lithium-ion batteries (LIBs) without damaging the electrode structure.
Theoretical design of a dual-motor nanorotator composed of all-carboatomic cyclo[18]carbon and a figure-of-eight carbon hoop
Authors: Liu Zeyu , Wang Xia , Lu Tian , Yan Xiufen , Wang Jiaojiao , Wu Yang , Xu Jingbo , Xie Zhibo
Published: July 2023

A novel supramolecular complex (2C18@OPP) constructed from all-carboatomic cyclo[18]carbon (C18) and figure-of-eight carbon hoop (OPP) has been studied theoretically from the perspective of an extraordinary dual-motor nanorotator.
Polymorphism in parabanic acid-urea cocrystals governed by supramolecular synthons: a comparative analysis
Authors: Gaur Ruchi
Published: July 2023

A new polymorph of parabanic acid-urea cocrystal (PA-UA Form II) has been discovered. An experimental and theoretical investigation is conducted to compare PA-UA Form II cocrystal with PA-UA Form I cocrystal.
Effect of high-temperature remelting on the properties of Sn-doped β-Ga2O3 crystal grown using the EFG method
Authors: Wei Jinshan , Bu Yuzhe , Sai Qinglin , Qi Hongji , Li Jingbo , Gu Huaimin
Published: July 2023

We compared the crystal properties of the blue area grown before high-temperature remelting and the colorless area after high-temperature remelting through characterization tests, such as AFM, XRD, PL, ICP, LCM, and HALL.
Conformational preferences of the flexible galactofuranose sugar in gas-phase
Authors: Yeni Oznur , Allouche Abdul-Rahman , Legentil Laurent , Ferrières Vincent , Compagnon Isabelle
Published: July 2023

The galactofuranose ion occupies a surprisingly restricted potential energy surface at room temperature.
Interplay between structural changes, surface states and quantum confinement effects in semiconducting Mg2Si and Ca2Si thin films
Authors: Alekseev A. Yu. , Migas D. B. , Filonov A. B. , Galkin N. G. , Skorodumova N. V.
Published: July 2023

Ab initio techniques is used to reveal how quantum confinement effects, surface states and structural changes modify the electronic properties of semiconducting Mg2Si and Ca2Si thin films (from 17 nm down to 0.2 nm corresponding to the 2D structure).
Controlled synthesis of monodisperse gold nanorods with a small diameter of around 10 nm and largest plasmon wavelength of 1200 nm
Authors: Wei Anhua , OuYang Jingfang , Guo Yuyang , Jiang Suju , Chen Feifei , Huang Jun , Xiao Qi , Wu Zihua
Published: July 2023

The use of 1,6-dihydroxynaphthalene as a reducing agent for the synthesis of gold nanorods can provide facile control over the size and spectrum of the rod with especially a largest plasmon wavelength of 1200 nm and small diameter of around 10 nm.
Unlocking the potential of catalysts in thermochemical energy conversion processes
Authors: Alagumalai Avinash , Devarajan Balaji , Song Hua
Published: July 2023

Catalysis is indeed an essential component of many energy-related processes and is likely to become even more critical as we transition towards more sustainable and low-carbon energy systems.
Simultaneous elimination of toxic dyes, ciprofloxacin and Cr(vi) contents from polluted water: escalating surface plasmon electrons of Ag cocatalysts on BiVO4 microstructures
Authors: Abid Muhammad Zeeshan , Ilyas Asfa , Rafiq Khezina , Rauf Abdul , Nadeem Muhammad Arif , Waseem Amir , Hussain Ejaz
Published: July 2023

The coexistence of organic contaminants and Cr metal in industrial sewage pollutes drinking water reservoirs.
Theanine maintains sleep quality in healthy young women by suppressing the increase in caffeine-induced wakefulness after sleep onset
Authors: Baba Yoshitake , Takihara Takanobu , Okamura Noritaka
Published: July 2023

Theanine is a unique amino acid found in Camellia sinensis L. and in green, black, oolong, and other teas. Camellia sinensis L. also contains caffeine; however, theanine suppresses the increase in the wake-after-sleep onset time induced by caffeine.
In vitrogastrointestinal digestion of buckwheat (Fagopyrum esculentumMoench) protein: release and structural characteristics of novel bioactive peptides stimulating gut cholecystokinin secretion
Authors: Song Hongdong , Wang Qingyu , Shao Zhuwei , Wang Xinyue , Cao Hongwei , Huang Kai , Sun Qiqi , Sun Zhenliang , Guan Xiao
Published: July 2023

Gastrointestinal digestive product of buckwheat protein (BPD) stimulated CCK secretionin vitroandin vivoand five novel CCK-releasing peptides were identified.
Polyaniline-derived carbon nanofibers with a high graphitization degree loading ordered PtNi intermetallic nanoparticles for oxygen reduction reaction
Authors: Zhuang Yujuan , Yang Jiao , Meng Lingwei , Ma Chuanming , Peng Lishan , Chen De , Chen Qingjun
Published: July 2023

A three-dimensional carbon nanofiber (CNF) with a high graphitization degree was fabricated via high temperature treatment of polyaniline network. The CNF-1200 used as platinum-based catalyst ORR support exhibited excellent corrosion resistance.
Anion-induced structural diversity in cadmium coordination polymers of 4-aminobenzonitrile: a structural and DFT study
Authors: Notash Behrouz , Barzegar Tilenoie Ommolbanin , Naghavi S. Shahab
Published: July 2023

Using 4-aminobenzonitrile and different anions, five cadmium CPs, [Cd(4-ABN)I2]n (1), [Cd(4-ABN)Br2]n (2), [Cd(4-ABN)2(NO3)2]n (3), [Cd(4-ABN)2(OAc)2]n (4) and {[Cd(4-ABN)2(H2O)2](ClO4)2}n (5), are synthesized and structurally characterized.
Poly(2,3-disulfide-1,4-benzoquinone) as a high-performance cathode for rechargeable aqueous zinc-ion batteries
Authors: Zhu Chuanzheng , Chen Jin , Zhao Bingjie , Jiao Xin , Luo Zhiqiang , Lei Kaixiang
Published: July 2023

A polymer cathode material (PSBQ) with quinone-based groups and multiple thioether bonds exhibits good electrochemical performance for aqueous zinc-ion batteries (ZIBs). This work provides a novel strategy for designing polymer cathodes in ZIBs.
2-Pyridylmethyl-N-palmitoylglycine micelle-guided synthesis of a recyclable CuO@SiO2 nanocatalyst for hydride transfer nitro reduction in water
Authors: Pious Aleena , S. Ragavi , Kamlekar Ravi Kanth , Mariappan Mariappan , Anbazhagan Veerappan
Published: July 2023

PyN16G micelles as a greener medium for efficient synthesis of arylamines through nitroarene reduction over the CuO@SiO2 via hydride transfer reaction.
Sonoporation-assisted micelle delivery in subcutaneous glioma-bearing mice evaluated by PET/fluorescent bi-modal imaging
Authors: Porret Estelle , Hoang Stéphane , Denis Caroline , Doris Eric , Hrubý Martin , Novell Anthony , Gravel Edmond , Truillet Charles
Published: July 2023

Development of a nanocarrier using micelles and bimodal imaging to monitor drug delivery and evaluate efficacy. Sonoporation treatment enables safe and effective delivery of micelles to the tumor.
Metallated dihydropyridinates: prospects in hydride transfer and (electro)catalysis
Authors: Parsons Leo W. T. , Berben Louise A.
Published: July 2023

Hydride transfer (HT) is a fundamental step in a wide range of reaction pathways, including those mediated by dihydropyridinates (DHP−s).
Convenient hydrogenation of furfural to furfuryl alcohol in metal-catalyzed and organo-catalyzed environments
Authors: Matsheku Asanda C. , Maumela Munaka Christopher , Makhubela Banothile C. E.
Published: July 2023

From utilizing precious transition metals such as palladium catalysts to organo-catalyzed hydrogenation reactions. The cost-effective reduction of furfural and various aldehydes under metal-free and solvent-free conditions.
Effective photocatalytic degradation of rhodamine-B over Zn-doped BaO2 and SrO2 composites under UV and sunlight irradiation
Authors: Savunthari Kirankumar Venkatesan , Balaji Daneshwaran , Sudheer Nivedita , Bathwar Mittal , Rangasamy Manjunath , Dhandabani Ganesh Kumar , Puente Santiago Alain R. , Shanmugam Sumathi , Kong Kien-Voon , R Vijayaraghavan
Published: July 2023

Environmental pollution due to dye industries is a major concern as it affects both aquatic and human life.
Switching of dominant magnetic exchange interactions between tetrahedral–octahedral and octahedral–octahedral sites in (Mn1−xCrx)3O4 spinels
Authors: Dwivedi G. D. , Yen Tsung-Wen , Kumawat S. M. , Wang C. W. , Kakarla D. Chandrasekhar , Tiwari A. , Yang H. D. , Huang S. M. , Chung C. M. , Sun S. J. , Chou H.
Published: July 2023

Isotropic exchange (Jiso) occurs between transition metal atoms of Mn2.7Cr0.3O4 in the range 2.5–4 Å. Four connectivities are observed within 2.8–3.9 Å, with varying exchange coupling constants. Green and purple balls denote Td and Oh-site cations.
Branched-chain amino acid biosynthesis in fungi
Authors: Steyer Joel T. , Todd Richard B.
Published: July 2023

Branched-chain amino acids (BCAAs)—isoleucine, leucine, and valine—are synthesized by fungi. These amino acids are important components of proteins and secondary metabolites. The biochemical pathway for BCAA biosynthesis is well-characterized in the yeast Saccharomyces cerevisiae. The biosynthesis of these three amino acids is interconnected. Different precursors are metabolized in multiple steps through shared enzymes to produce isoleucine and valine, and the valine biosynthesis pathway branches before the penultimate step to a series of leucine biosynthesis-specific steps to produce leucine. Recent efforts have made advances toward characterization of the BCAA biosynthesis pathway in several fungi, revealing diversity in gene duplication and functional divergence in the genes for these enzymatic steps in different fungi. The BCAA biosynthesis pathway is regulated by the transcription factor LEU3 in S. cerevisiae, and LeuB in Aspergillus nidulans and Aspergillus fumigatus, and the activity of these transcription factors is modulated by the leucine biosynthesis pathway intermediate α-isopropylmalate. Herein, we discuss recent advances in our understanding of the BCAA pathway and its regulation, focusing on filamentous ascomycete fungi and comparison with the well-established process in yeast.
The VISCACHA survey
Authors: Saroon S. , Dias B. , Tsujimoto T. , Parisi M. C. , Maia F. , Kerber L. , Bekki K. , Minniti D. , Oliveira R. A. P. , Westera P. , Katime Santrich O. J. , Bica E. , Sanmartim D. , Correa Quint B. , Fraga L.
Published: July 2023

The chemical evolution history of the Small Magellanic Cloud (SMC) has been a matter of debate for decades. The challenges in understanding the SMC chemical evolution are related to a very slow star formation rate (SFR) combined with bursts triggered by the multiple interactions between the SMC and the Large Magellanic Cloud, a significant (∼0.5 dex) metallicity dispersion for the SMC cluster population younger than about 7.5 Gyr, and multiple chemical evolution models tracing very different paths through the observed age–metallicity relation of the SMC. There is no doubt that these processes were complex. Therefore, a step-by-step strategy is required in order to better understand the SMC chemical evolution. We adopted an existing framework to split the SMC into regions on the sky, and we focus on the west halo in this work, which contains the oldest and most metal-poor stellar populations and is moving away from the SMC, that is, in an opposite motion with respect to the Magellanic Bridge. We present a sample containing ∼60% of all west halo clusters to represent the region well, and we identify a clear age–metallicity relation with a tight dispersion that exhibits a 0.5 dex metallicity dip about 6 Gyr ago. We ran chemical evolution models and discuss possible scenarios to explain this metallicity dip, the most likely being a major merger accelerating the SFR after the event. This merger should be combined with inefficient internal gas mixing within the SMC and different SFRs in different SMC regions because the same metallicity dip is not seen in the AMR of the SMC combining clusters from all regions. We try to explain the scenario to better understand the SMC chemo-dynamical history.
Electric Vehicle Wireless Charging using RFID
Authors: Joyce Jacob J. , S Abinaya , R Divya Priya , Khatarkar Poonam , Barno Abdullaeva , kumar G. Sathish
Published: July 2023

Electric vehicle (EV) wireless charging using radio-frequency identification (RFID) is a novel technology that enables the charging of electric vehicles without the need for wires or cables. The technology utilizes RFID tags that are installed on the EV, which communicate with the charging pad through electromagnetic fields. The charging process is initiated when the RFID reader detects the presence of the EV with the installed RFID tag, and the charging pad is activated. The power transfer is then enabled between the charging pad and the EV, allowing for the charging process to begin. RFID-based wireless charging technology offers numerous benefits over traditional wired charging systems. For instance, it eliminates the need for physical connectors, thereby reducing the wear and tear of components and increasing the convenience of charging. Moreover, the technology is more efficient, with minimal energy losses, and reduces the risk of electrical hazards. It also minimizes the impact of weather conditions and road debris on the charging process, making it suitable for both indoor and outdoor charging application. In conclusion, EV wireless charging using RFID is a promising technology that can potentially revolutionize the EV charging industry. It offers numerous benefits, including increased convenience, efficiency, and safety, and has the potential to significantly reduce the environmental impact of transportation.
System for Water Quality Monitoring and Distribution
Authors: Nirmala D. , Pooja G. , Sowmya U. , Mohamed Aezeden , Durdona Avazova , kumar V. Vignesh , Rajavarman R. , Parkunam N.
Published: July 2023

Water plays a vital role in the creation of human being and other natural phenomena. More than 80% of the resources is surrounded by water but in that only 20% is good for consumption others are fully polluted and contaminated. Now a days water is more polluted, and even supplied in a very lesser level so to check and monitor the quality of the water we mainly using a number of sensors are used to monitor the water’s quality and distribute it to the less fortunate. The quality of the water is affected by several parameters. Water is provided from difference resources like lake, pond, well, ground water, oceans etc.so these waters are not good for consumption Therefore, our goal is to assess the water’s quality while keeping an eye on the flow and level of the water. It is intended to use a variety of cutting-edge devices to check various water quality system parameters.
Effects of Aquaculture on Water Quality in Gudivada Region
Authors: Gollapalli Varsha , Sajja Satish , Alekhya B.V.V.R.L. , Kumar B. Hemanth , Sai Haneesh C. Guru
Published: July 2023

In the Gudivada region, surface and ground water are important sources for drinking, agriculture, and aquaculture. The environment and human health gets depleted as the water and groundwater become contaminated as a result of man-made activities. The objective of this study is to provide a brief overview of the environmental impact of aquaculture as well as an assessment of ground water quality in the Gudivada Krishna District of Andhra Pradesh. Aquaculture activities have a substantial physical, chemical, and biological influence on water supplies. Physical pressure is exerted on the water; chemically, the water and land are polluted; and biologically, foreign species, infections, and diseases are introduced. For daily change activities, these aquaculture ponds require the mixing of bore-well or creek waters with fresh water; as a result of this practise, the upstream ponds discharging the polluted water into the channels, and the downstream ponds are utilising the same. This is attributed to increase of pollution in the aquatic environment. Over exploitation of water also leads to salt water intrusion, usage of ground water and conversion of land use to aquaculture. Pollution, damage of delicate coastal ecosystems, dangers to aquatic biodiversity, and significant socioeconomic costs are all factors to consider. Change in land distribution data over a period of 2005 to 2021 is collected and water quality parameters are collected and water quality index is assessed at three locations of gudivada region.
Performance assessment on manufacturing of unfired bricks using industrial wastes
Authors: Govindan Balaji , P Mukesh , R S Nitheesh , S Aravinth , S Sarathkumar , S Kumaravel , R V Dhinesh Kumar , K K Tharunkrishna
Published: July 2023

This paper presents eco-friendly unburnt bricks made up of fly ash, waste plastic powder, waste glass powder, lime, gypsum and crusher sand as alternatives to conventional burnt clay bricks for sustainable development. The research focuses on the maximum utilization of industrial waste in eco-friendly unburnt brick production. Materials are characterized according to their chemical and geotechnical properties. In this research, we use a milled waste glass powder of size less than 600μm and plastic powder obtained from plastic waste of size less than 600μm are added along with crushed sand, gypsum, lime and fly ash with various mix proportions concerning FaL-G mix concept. All the proportions were taken on a weight basis. Compressive strength, water absorption, and efflorescence are the key parameters chosen for comparing the innovative brick with conventional fly ash brick. There are five different mixes (Type A, B, C, D & E) are made in this research. The plastic and glass powders are replaced by crusher sand at the increased rate of 2% in every mix whereas 2%,4%,6%,8%, and 10%. It was found that the type B bricks have 17.63% strength was increased when compared to base mix. From the test results, type B bricks have enhanced mechanical performance when compared to all other mixes.
A Sustainable Development Perspective and Evaluating the Impact of Laser Cladding Parameters on Mild Steel
Authors: Kumar Sujeet , Karnwal Sandeep , Swami Sujeeth , Punitha N. , Padmanabhan S. , Vijayan V. , Baskar S.
Published: July 2023

Mild steel is a popular material used in various applications due to its excellent machinability, strength and durability. Mild steel is one of the most affordable materials available, making it an excellent choice for budget-conscious projects. Regrettably, Mild steel is not typically used in some industries due to its low strength-to-weight ratio and limited corrosion resistance. AISI 1020 steel is relatively soft and has limited wear resistance compared to other types of steel, particularly those with higher carbon content. This review paper discusses the profitable and successful approach to enhance the service life and utility of the mild steel machinery components. Various investigators have put their effort into developing different methods to improve the properties of the mild steel components. The laser cladding process is developed by the melting of the preplaced coating layer with the surface of the substrate simultaneously which is able to prevent direct contact with the environment. The present review paper discussed in detail the impact of various parameters of laser cladding process and variation of the coating materials on the surface properties and microstructure of mild steel. Some challenges and remedies are also discussed in the paper. This review paper focused on some potential uses of the laser cladding process in diverse industries.
Synthesis of Newly Formulated Aluminium Composite through Powder Metallurgy using Waste Bone Material
Authors: Muthu Kamatchi R. , Muraliraja R. , Vijay J. , Sabari Bharathi C. , Kiruthick Eswar M. , Padmanabhan S.
Published: July 2023

The increasing concern for sustainable materials and waste management has led to innovative approaches in material science. This study explores the potential benefit of aggregate waste in the production of aluminum composites practicing powder metallurgy techniques. The aim is to investigate the feasibility of incorporating bone material into aluminium matrices to enhance the composite’s mechanical properties. The research involves several key steps. Firstly, waste bone material is collected and processed to obtain a fine powder suitable for powder metallurgy. Various techniques such as grinding, milling, or pulverization are employed to achieve the desired particle size distribution. Next, the bone powder is mixed with aluminium powder in predetermined ratios to create composite blends. The composite blends are then subjected to compaction using powder metallurgy techniques, including cold pressing and sintering. The compaction process aims to consolidate the powders and facilitate the formation of a solid composite structure. The aluminum composites mechanical characteristics are then assessed. The effects of incorporating bone material are assessed using tests on tensile strength, ductility, hardness, and other relevant mechanical properties. Comparative analysis is performed between the composites with bone material and traditional aluminium composites to assess any improvements or changes in performance.
Analysis of Coverage in LoRa using secured IoT Systems
Authors: Karthigaichelvi R. , Balakumar B
Published: July 2023

Long Range (LoRa) is an unlicensed Low Power Wide Area Network for the application of the Internet of Things (IoT). This LoRa technology is mainly suitable for smart city applications since this technology consumes low power, low cost, and transfer information over a long distance. This technology proposes a new communication standard to tackle discrete IoT applications. This technology works based on Chirp Spread Spectrum (CSS) technique with a larger bandwidth. LoRa deploys the whole channel bandwidth to transmit the signal which results in, to avoid channel noise, Doppler impacts, and fading. This paper mainly focuses on the impact of three parameters namely, Code Rate (CR), Spreading Factor (SF), Bandwidth (BW). Furthermore, analysis the effect of the data rate and transmission time using Code Rate (CR), Spreading Factor (SF), and Bandwidth to extend coverage.
IoT-Powered UPS Battery Monitoring: Ensuring High availability and reliability for Critical Systems
Authors: S Chandra Prasath , N Darwin , R S Ramkumar , S Nithishkumar , PL Somasundharam
Published: July 2023

An Uninterrupted Power Supply (UPS) is a critical component in any high availability system. However, the effectiveness of a UPS depends largely on its battery backup, which must be continuously monitored to ensure that it is working properly. In the past, this monitoring has been done manually or through local monitoring systems, but advances in IoT technology now make it possible to remotely monitor the status of UPS batteries and receive real-time alerts if any issues arise. The proposed system will have several benefits over existing battery monitoring systems. First, it will be fully automated, reducing the need for manual monitoring and minimizing the risk of human error. Second, it will be accessible remotely, allowing system administrators to monitor the status of the battery backup system from anywhere in the world. Finally, the system will be scalable, allowing additional sensors to be added to the network as needed. Nevertheless, physically checking the UPS battery is highly challenging since it requires more money and time. Data center operators, at the centre of the digital economy, are under pressure from several directions. sustaining the highest level of availability at the most affordable level. A leading provider of battery management solutions.
IOT Based Smart Farming Application
Authors: P.M Dinesh , R.S Sabeenian , R.G Lokeshvar , M.E Paramasivam , S Thanish , A Manjunathan
Published: July 2023

Smart agriculture is one of the Internet of Things' most important uses. Water, fertilizer, and crop yield waste are all reduced via smart agriculture. The manual detection of specifications like temperature, moisture, and humidity in the existing agricultural system drives up labor costs, and continuous monitoring is not possible. The irrigation procedure is carried out automatically in this study utilizing various sensors, which reduces manual work. It is suggested to utilize a sensor-based monitoring system for crop fields. It would entail gathering information on the soil moisture, humidity, and temperature. Automation of irrigation is possible by keeping an eye on all these variables. Unquestionably, smart farming is a key facilitator in providing more food with less resources for a growing global population. While this is essential to feeding the world's expanding population responsibly, smart farming also offers producers and communities throughout the world additional advantages. Farmers may raise yields and improve environmental management by using these strategies. By monitoring the field, IoT-based smart agriculture enhances the overall farming system. The Internet of Things in agriculture helps farmers save time and lessen the usage of resources like water thanks to sensors and connections. electricity, internet-connected temperature monitoring.
Improved Accuracy by Novel Inception Compared over GoogleNet in Predicting the Performance of Students in Online Education During COVID
Authors: Sathvik P. , Kalaiarasi S.
Published: July 2023

The goal of this research is to enhance the accuracy of predicting students' performance in online education during the Covid-19 pandemic by comparing the Novel Inception algorithm with the GoogleNet algorithm. Materials and Methods: The current research paper investigates the performance of two distinct algorithms, namely the Novel Inception algorithm and the GoogleNet algorithm, in two separate groups with 20 samples in each group. The statistical significance of the collected data was assessed using SPSS with a G-power value set at 85%. The study also explores the accuracies of these algorithms with varying sample sizes. Result: Inception algorithm provides a higher accuracy of 91.0480% when compared to GoogleNet algorithm with accuracy of 89.8860% in predicting the Performance of Students in online education during covid. With a significance value of p=0.007 (p<0.05) which comparison of Novel Inception algorithm compared over GoogleNet algorithm in preding the Performance of Students in online education with improved Accuracy. The research findings indicate that the performance of students in online education during COVID-19 can be better predicted using the Novel Inception algorithm than the GoogleNet algorithm. The accuracy of the Novel Inception algorithm was observed to be higher as compared to the GoogleNet algorithm.
Developing the Security for Cloud Information Via Alexnet Learning Model versus the accuracy of Artificial Neural Network
Authors: E Thriveni. , R Mahaveerakannan
Published: July 2023

The main objective of the study is to protect cloud from different types of attacks by using AlexNet classifier compared accuracy with Artificial Neural Network and user’s data to be stored in the cloud safely by Advanced Encryption Standard. Materials and Methods: This research examines two groups AlexNet withArtificial Neural Network. Statistical study used 1300 training and 403 testing datasets from UNSW-NB15 dataset. ClinCalc programme utilised N=10, 0.05 is alpha value, 0.8% is G-Power, and 95% confidence interval.Result and Discussion: Novel Alexnet (91.081%) has an increased precision over ANN (90.075%) with the P value is 0.012(p<0.05) from the results of Independent samples t-test. There is a statistical significant difference between these two algorithms.Conclusion: This study concludes that the Novel AlexNet classifier algorithm seems fundamentally better than the ANN in terms of increasing the accuracy of secure cloud data and holding sensitive data with the dataset of UNSW-NB15.
Residual Neural Network for the Accurate Recognition of Human Action and Compared with Bayesian Regression
Authors: V Narmatha , S Ramesh
Published: July 2023

Aim: In this research article, the aim is to analyze and compare the performance of Residual Neural Network and Bayesian Regression for accurate recognition of human actions. Materials and Methods: The proposed machine learning classifier model uses 80% of the UCF101 dataset for training and the remaining 20% for testing. For the SPSS analysis, the results of two classifiers are grouped with 20 samples in each group. The sample size is determined using a pretest with G-power, with a sample size of 80%, a confidence interval of 95%, and a significance level of 0.014 (p<0.05). Result: The findings suggest that the novel residual neural network classifier and Bayesian regression classifier achieved accuracy rates of 95.63% and 93.97%, respectively, in identifying human activities accurately.The statistical significance value between residual neural networks and Bayesian regression has been calculated to be p=0.014 (independent sample t-test p<0.05), indicating a statistically significant difference between the two classifiers.
Efficient Domination In Fuzzy Graphs and Intuitionistic Fuzzy Graphs in Strong and weak forms
Authors: S Rajeev Gandhi , K Prabhavathi , R VeeraSivaji , R Senthil Kumar , S Tharmar
Published: July 2023

This work defines the concepts of strong efficient dominating set and intuitionistic fuzzy graph. We also introduce an intuitionistic fuzzy graph and a strong efficient dominating number of fuzzy graphs. The strong efficient dominant number in fuzzy graphs has some limitations that are studied, and intuitionistic fuzzy graphs are derived..
Accurate Biometric Palm Print Recognition Using ResNet50 algorithm Over X Gradient Boosting Algorithm
Authors: Kumar H. Kishore , Kumar S. Ashok
Published: July 2023

The aim of this research is to enhance the accuracy of biometric palm print identification by using the Novel ResNet50 Algorithm as compared to the X Gradient Boosting. Materials and Methods: In this study, the ResNet50 and X Gradient Boosting algorithms were compared using a sample size of 10 for each algorithm, resulting in a total sample size of 20. The comparison was carried out with a G Power of 0.8 and a confidence interval (CI) of 95% to ensure statistical significance. For this study the Birjand University Mobile Palmprint Database (BMPD) dataset was collected from the Kaggle repository, which includes a total of 1640 images containing both left and right-hand palmprints. Result: According to the results, the ResNet50 algorithm achieved a higher accuracy rate (94.7%) compared to the X Gradient Boosting algorithm (92.4%) in identifying and measuring the images. The statistical analysis indicated a significant difference between the Novel ResNet50 algorithm and X Gradient Boosting, with a pvalue of 0.003 (Independent sample T-test p<0.05). This suggests that the ResNet50 algorithm outperformed the X Gradient Boosting algorithm in this experiment. According to the study’s findings, ResNet50 is more effective in accurately identifying biometric palm prints compared to X Gradient Boosting.
Exploring Explainable Artificial Intelligence for Transparent Decision Making
Authors: Praveenraj D. David Winster , Victor Melvin , Vennila C. , Hussein Alawadi Ahmed , Diyora Pardaeva , Vasudevan N. , Avudaiappan T.
Published: July 2023

Artificial intelligence (AI) has become a potent tool in many fields, allowing complicated tasks to be completed with astounding effectiveness. However, as AI systems get more complex, worries about their interpretability and transparency have become increasingly prominent. It is now more important than ever to use Explainable Artificial Intelligence (XAI) methodologies in decision-making processes, where the capacity to comprehend and trust AI-based judgments is crucial. This abstract explores the idea of XAI and how important it is for promoting transparent decision-making. Finally, the development of Explainable Artificial Intelligence (XAI) has shown to be crucial for promoting clear decision-making in AI systems. XAI approaches close the cognitive gap between complicated algorithms and human comprehension by empowering users to comprehend and analyze the inner workings of AI models. XAI equips stakeholders to evaluate and trust AI systems, assuring fairness, accountability, and ethical standards in fields like healthcare and finance where AI-based choices have substantial ramifications. The development of XAI is essential for attaining AI's full potential while retaining transparency and human-centric decision making, despite ongoing hurdles.
Blockchain Technology: Applications and Challenges in Computer Science
Authors: Pandey Megha , Velmurugan M. , Sathi G. , Abbas Ahmed Radie , Zebo Norkuzieva , Sathish T.
Published: July 2023

In the growth of computer science blockchain technology has emerged as a disruptive force that is enhancing various area of software and the way data is managed, stored, and safeguarded. This essay offers a thorough examination of the uses and difficulties of blockchain technology in computer science. In this essay, blockchain technology has shown itself to be a game-changing innovation with numerous computer science applications. It has the enormous potential to completely transform sectors including finance, supply chain management, healthcare, voting systems, and IoT devices. The software technology is completely achieved with blockchain technology and the main security issue is solved with energy use and scalability. The new opportunities are examined and addressed with this innovation sector for creating effective solutions.
Advancements in Compiler Design and Optimization Techniques
Authors: Maruthamuthu R. , Dhabliya Dharmesh , Priyadarshini G Kala , Abbas Ahmed H. R. , Barno Abdullaeva , kumar V. Vignesh
Published: July 2023

The modern period has seen advancements in compiler design, optimization technique, and software system efficiency. The influence of the most recent developments in compiler design and optimization techniques on program execution speed, memory utilization, and overall software quality is highlighted in this study. The design of the compiler is advanced by the efficient code that is now structured in research with high-speed performance without manual intervention. The influence of the most recent developments in compiler design and optimization techniques on program execution speed, memory utilization, and overall software quality is highlighted in this paper's thorough analysis.