bluuebunny/crossref_metadata_2025 huggingface dataset:
Cerebellar contributions to a brainwide network for flexible behavior in mice
Authors: Verpeut Jessica L. , Bergeler Silke , Kislin Mikhail , William Townes F. , Klibaite Ugne , Dhanerawala Zahra M. , Hoag Austin , Janarthanan Sanjeev , Jung Caroline , Lee Junuk , Pisano Thomas J. , Seagraves Kelly M. , Shaevitz Joshua W. , Wang Samuel S.-H.
Published: June 2023

The cerebellum regulates nonmotor behavior, but the routes of influence are not well characterized. Here we report a necessary role for the posterior cerebellum in guiding a reversal learning task through a network of diencephalic and neocortical structures, and in flexibility of free behavior. After chemogenetic inhibition of lobule VI vermis or hemispheric crus I Purkinje cells, mice could learn a water Y-maze but were impaired in ability to reverse their initial choice. To map targets of perturbation, we imaged c-Fos activation in cleared whole brains using light-sheet microscopy. Reversal learning activated diencephalic and associative neocortical regions. Distinctive subsets of structures were altered by perturbation of lobule VI (including thalamus and habenula) and crus I (including hypothalamus and prelimbic/orbital cortex), and both perturbations influenced anterior cingulate and infralimbic cortex. To identify functional networks, we used correlated variation in c-Fos activation within each group. Lobule VI inactivation weakened within-thalamus correlations, while crus I inactivation divided neocortical activity into sensorimotor and associative subnetworks. In both groups, high-throughput automated analysis of whole-body movement revealed deficiencies in across-day behavioral habituation to an open-field environment. Taken together, these experiments reveal brainwide systems for cerebellar influence that affect multiple flexible responses.
Realistic scheme for quantum simulation of $${{\mathbb{Z}}}_{2}$$ lattice gauge theories with dynamical matter in (2 + 1)D
Authors: Homeier Lukas , Bohrdt Annabelle , Linsel Simon , Demler Eugene , Halimeh Jad C. , Grusdt Fabian
Published: June 2023

Gauge fields coupled to dynamical matter are ubiquitous in many disciplines of physics, ranging from particle to condensed matter physics, but their implementation in large-scale quantum simulators remains challenging. Here we propose a realistic scheme for Rydberg atom array experiments in which a $${{\mathbb{Z}}}_{2}$$

Z

2

gauge structure with dynamical charges emerges on experimentally relevant timescales from only local two-body interactions and one-body terms in two spatial dimensions. The scheme enables the experimental study of a variety of models, including (2 + 1)D $${{\mathbb{Z}}}_{2}$$

Z

2

lattice gauge theories coupled to different types of dynamical matter and quantum dimer models on the honeycomb lattice, for which we derive effective Hamiltonians. We discuss ground-state phase diagrams of the experimentally most relevant effective $${{\mathbb{Z}}}_{2}$$

Z

2

lattice gauge theories with dynamical matter featuring various confined and deconfined, quantum spin liquid phases. Further, we present selected probes with immediate experimental relevance, including signatures of disorder-free localization and a thermal deconfinement transition of two charges.
Probe for bound states of SU(3) fermions and colour deconfinement
Authors: Chetcuti Wayne J. , Polo Juan , Osterloh Andreas , Castorina Paolo , Amico Luigi
Published: June 2023

Fermionic artificial matter realized with cold atoms grants access to an unprecedented degree of control on sophisticated many-body effects with an enhanced flexibility of the operating conditions. Here, we consider three-component fermions with attractive interactions to study the formation of complex bound states, whose nature goes beyond the standard fermion pairing occurring in quantum materials. Such systems display clear analogies with quark matter. We address the nature of the bound states of a three-component fermionic system in a ring-shaped trap through the persistent current. In this way, we demonstrate that we can distinguish between color superfluid and trionic bound states. By analyzing finite temperature effects, we show how finite temperature can lead to the deconfinement of bound states. For weak interactions, the deconfinement occurs because of scattering states. In this regime, the deconfinement depends on the trade-off between interactions and thermal fluctuations. For strong interactions the features of the persistent current result from the properties of a suitable gas of bound states.
Reduced mitochondrial calcium uptake in macrophages is a major driver of inflammaging
Authors: Seegren Philip V. , Harper Logan R. , Downs Taylor K. , Zhao Xiao-Yu , Viswanathan Shivapriya B. , Stremska Marta E. , Olson Rachel J. , Kennedy Joel , Ewald Sarah E. , Kumar Pankaj , Desai Bimal N.
Published: June 2023

Mitochondrial dysfunction is linked to age-associated inflammation or inflammaging, but underlying mechanisms are not understood. Analyses of 700 human blood transcriptomes revealed clear signs of age-associated low-grade inflammation. Among changes in mitochondrial components, we found that the expression of mitochondrial calcium uniporter (MCU) and its regulatory subunit MICU1, genes central to mitochondrial Ca2+ (mCa2+) signaling, correlated inversely with age. Indeed, mCa2+ uptake capacity of mouse macrophages decreased significantly with age. We show that in both human and mouse macrophages, reduced mCa2+ uptake amplifies cytosolic Ca2+ oscillations and potentiates downstream nuclear factor kappa B activation, which is central to inflammation. Our findings pinpoint the mitochondrial calcium uniporter complex as a keystone molecular apparatus that links age-related changes in mitochondrial physiology to systemic macrophage-mediated age-associated inflammation. The findings raise the exciting possibility that restoring mCa2+ uptake capacity in tissue-resident macrophages may decrease inflammaging of specific organs and alleviate age-associated conditions such as neurodegenerative and cardiometabolic diseases.
Fluorescence probing and molecular docking analysis of the binding interaction of bovine serum albumin (BSA) with the polarity probe AICCN
Authors: Mandal Barun , Chowdhury Nilkanta , Baildya Nabajyoti , Mandal Ranju Prasad , Bagchi Angshuman , De Swati
Published: June 2023

In this work, the fluorescent probe 2-amino-4-(1H-indol-3-yl)-4H-chromene-3-carbonitrile (AICCN) has been used to evaluate its potential as a prospective polarity probe.
The ACE2 receptor accelerates but is not biochemically required for SARS-CoV-2 membrane fusion
Authors: Cervantes Marcos , Hess Tobin , Morbioli Giorgio G. , Sengar Anjali , Kasson Peter M.
Published: June 2023

DNA-lipid tethers can replace ACE2 receptor attachment for SARS-CoV-2 entry. An attachment factor and protease are sufficient for membrane fusion, but ACE2 added in trans speeds up fusion kinetics.
Real-time monitoring of the contractile properties of H9C2 cardiomyocytes by double resonator piezoelectric cytometry
Authors: Zhou Zhen , Peng Hange , Li Jiali , Chen Zhihui , Huo Jingyi , Zhou Tiean
Published: June 2023

Here we describe the double resonator piezoelectric cytometry to simultaneously measure the H9C2 cardiomyocytes’ generated force and viscoelasticity towards the goal of studying the systolic and diastolic function of the cardiovascular system.
Modern analytical and bioanalytical technologies and concepts for smart and precision farming
Authors: Tsong Jia Ling , Khor Sook Mei
Published: June 2023

Unpredictable natural disasters, disease outbreaks, climate change, pollution, and war constantly threaten food crop production.
An MMAE-loaded PDL1 active targeting nanomedicine for the precision treatment of colon cancer
Authors: Zhang Zhenqian , Zhang Honglei , Cui Linjie , Wang Xiaoshuang , Wang Di , Liu Zhilin , Zhang Xuefei , Tang Zhaohui
Published: June 2023

Nanomedicine (aPDL1-PLG-MMAE) effectively targets programmed death-ligand 1 (PDL1) high-expressing tumor and delivers monomethyl auristatin E (MMAE), which is prepared by affinity binding of anti-PDL1 monoclonal antibodie to Fc-PLG-MMAE.
Tripleipso-defluoroetherification of (trifluoromethyl)alkenes with fluoroalkylated alcohols: access to fluoroalkylated orthoestersviaC(sp3)–F bond cleavage
Authors: Nie Jia , Jiang Huanfeng , Zhu Chuanle
Published: June 2023

Tripleipso-defluoroetherification of (trifluoromethyl)alkenes with fluoroalkylated alcohols to synthesize fluoroalkylated orthoesters by C(sp3)–F bond cleavage.
d-NH2-MIL-125 doped with Cu NPs for light-driven hydrogen evolution
Authors: Sun Mingyang , Yu Fengyang , Wang Jinfeng , Wang Yao , Jing Xu , Duan Chunying
Published: June 2023

Redox-active Cu2+ and electron-acceptor Cu NPs were introduced on defects sites of d-NH2-MIL-125 leading to a functionalized photocatalyst used for coupling the hydrogen evolution reaction with dehydrogenation of tetrahydroisoquinoline.
“Two-in-one” core–shell nanozyme probes with double signal amplification for high-performing surface plasmon resonance immunosensing
Authors: Shi Feng , Yan Fei , Zhang Xinyi , Liu Ruixin , Jiang Guomin , Li Juan , Malinick Alexander , Cheng Quan , Yang Zhanjun
Published: June 2023

In view of the formation of polyaniline under enzymatic catalysis, a “two-in-one” Ag@Au core–shell nanozyme probe inducing double-signal amplification has been developed to significantly elevate the sensitivity of SPR sensors via sandwich immunoassay.
Synergistic NiO/Fe2O3 heterostructure-enhanced electrocatalytic performance in dye-sensitized solar cells
Authors: Meng Ying , Wang Wen , Zhang Chunqiu , Yao Jixin , Xie Changzheng , Zi Zhenfa , Lin Changcheng , Lu Shibin , Li Guang
Published: June 2023

Coupling the N-defect carbon with NiO/Fe2O3 heterojunction achieves a power conversion efficiency (PCE) of 8.69%, exceeding that with NiO@NC (6.51%), Fe2O3@NC (6.22%), and commercial Pt CEs (7.52%).
In situ-synthesized Co and N-doped mesoporous hollow silica spheres for the selective oxidation of ethylbenzene
Authors: Lan Yingying , Yi Chengfeng , Liu Zhigang
Published: June 2023

Co and N-doped carbon catalysts (Co–N-C) were prepared by pyrolysis of cobalt porphyrins synthesized in the cavity of mesoporous hollow silica spheres for the selective oxidation of ethylbenzene.
Phase equilibria of symmetric Lennard-Jones mixtures and a look at the transport properties near the upper critical solution temperature
Authors: Antolović Ivan , Staubach Jens , Stephan Simon , Vrabec Jadran
Published: June 2023

This study investigates phase equilibria and transport properties of five symmetric binary Lennard-Jones mixtures using molecular simulation and equation of state models.
Excitation wavelength dependent S1-state decay dynamics of 2-aminopyridine and 3-aminopyridine
Authors: Feng Baihui , Yang Dongyuan , Min Yanjun , Gao Qinghua , Fang Benjie , Wu Guorong , Yang Xueming
Published: June 2023

The excitation wavelength dependent S1-state decay dynamics of 2-aminopyridine and 3-aminopyridine is studied using the femtosecond time-resolved photoelectron imaging technique.
First-principles study of thermal transport properties in ferroelectric HfO2 and related fluorite-structure ferroelectrics
Authors: Zhang Shenglong , Yi Shilei , Yang Jia-Yue , Liu Jian , Liu Linhua
Published: June 2023

In fluorite-structure ferroelectrics, the thermal conductivity calculated from the kinetic theory of phonon transport is in line with that calculated from the Slack model and is positively correlated to the spontaneous polarization.
12CO2 transition frequencies with kHz-accuracy by saturation spectroscopy in the 1.99–2.09 μm region
Authors: Fleurbaey H. , Čermák P. , Campargue A. , Kassi S. , Romanini D. , Votava O. , Mondelain D.
Published: June 2023

Saturation spectroscopy is used to provide absolute frequencies of 145 transitions of 12CO2 with kHz accuracy in the 2 μm region.
Pressure-shortened delayed fluorescence lifetime of solid-state thermally activated delayed fluorescent 4CzIPN: the structure evolution
Authors: Gu Yarong , Sun Xuening , Wu Min , Wang Kai
Published: June 2023

The incorporation of mechanochromic luminescence into thermally activated delayed fluorescence (TADF) molecules is a promising strategy for developing multifunctional mechanochromic luminescent materials.
Tunable bandgaps in self-assembled transition metal-incorporated heterometallic M2Sb4 (M = V, Mn, Co, Ni, and Cu) oxo clusters
Authors: Navaneetha Tokala , Ugandhar Uppara , Samuel Calvin , Guizouarn Thierry , Pointillart Fabrice , Raghunathan Rajamani , Baskar Viswanathan
Published: June 2023

The reaction of proligands with transition metal salts/base under solvothermal conditions forms heterometallic M2Sb4 oxo clusters. A reduction in bandgap from 4.2 eV (Sb6 oxo clusters) to 3.35–1.83 eV is observed.
Heteroleptic six-coordinate bismuth(iii) complexes with 2-acetylthiophene thiosemicarbazones: synthesis, characterization, and biological properties
Authors: Ozturk Ibrahim I. , Turk Kadriye , Grześkiewicz Anita M. , Kubicki Maciej , Banti Christina N. , Hadjikakou Sotiris K.
Published: June 2023

Synthesis, characterization, crystal structure determination, antiproliferative and antimicrobial studies of five bismuth(iii) halide complexes with 2-acetylthiophene thiosemicarbazones are presented herein.
Heterocycle-derived organosilatranes as naked eye sensors for Sn2+ ions and their potential inhibiting activity against HIV-1 protease via a computational approach
Authors: Singh Gurjaspreet , Diksha  , Mohit  , Priyanka  , Devi Anita , Devi Swati , Kaur Harshbir , Singh Jandeep , Singh Gurleen
Published: June 2023

Nitrogen-based heterocycles are frequently present in active pharmaceutical products.
Substituted (P, As, Sb, S and Se) two-dimensional Bi2Te3 monolayer under stress at high temperature: achieving high thermoelectric performance
Authors: Li Ting , Pu Jie , Yu Tianwen , Hu Ziyu , Shao Xiaohong
Published: June 2023

The group-VA (X = P, As, Sb)-substituted Bi2Te3 alloys of BiPTe3, BiSbTe3 and BiAsTe3 are promising candidates for thermoelectric applications near room temperature, and compressive strain can effectively improve the ZT value of the n-type structure.
Highly dispersed Pd nanoparticles on NiO–CuO nanocomposite for efficient ethanol sensing
Authors: Bhangoji Jagdish C. , Suryavanshi Ulka B. , Mane Gurudas P. , Wadhawa Gurmeet C. , Pawar Nagesh D. , Shendage Suresh S.
Published: June 2023

Schematic representation of the synthesis, fabrication, and electrochemical sensing application of Pd@NiO–CuO@Ni foam electrode.
A reflux system for SBA-15 synthesis for the selective hydrogenation of cinnamyl aldehyde
Authors: Wang Guofeng , Gao Wenwen , Yun Dong , Xu Chuanzhi , Li Zhen , Xia Chungu
Published: June 2023

Silica-based mesoporous materials, such as SBA-15, are important supports in the field of catalysis due to their ordered pore channels.
The synthesis and application of an excitation-dependent ultra-long lifetime room temperature phosphorescence carbon dot composite
Authors: Chen Zhaopeng , Liang Xiumin , He Dan , Hu Min , Wen Luan
Published: June 2023

N,O-CDs@IP composite exhibits excitation-dependent with ultra-long lifetime RTP.
Novel fungicidal phenylethanol derivatives linking a trifluoromethyl pyrazole pharmacophore: design, synthesis, crystal structure, and biology evaluation
Authors: Tai Lang , Sun Sheng-Xin , Yue Kai , Chai Jian-Qi , Hou Shuai-Tao , Dai Guang-Yu , Yang Chun-Long , Chen Min
Published: June 2023

Novel antifungal phenylethanol derivatives containing a trifluoromethyl pyrazole pharmacophore were designed and synthesized. The effects of compound 6i with strong anti-B. cinerea activity on cell membrane permeability and mycelial morphology were further investigated.
One-step facile transformation from rofecoxib to reversible mechanofluorochromic materials with dual-state emission
Authors: Chen Zhong , Wang Zexin , Liu Wei , Wei Yongbo , Ye Yuqiu , Ke Yanbing , Wu Tong , Chen Nannan , Zhou Jingming , Zhang Xiaopo , Tan Yingfeng , Jiang Hong , Zhai Xin , Xie Lijun
Published: June 2023

We have developed a couple of rofecoxib analogues (NOR1 and NOR2) via a one-step reaction, and both of them exhibited DSE properties.
Self-limiting stoichiometry in SnSe thin films
Authors: Chin Jonathan R. , Frye Marshall B. , Liu Derrick Shao-Heng , Hilse Maria , Graham Ian C. , Shallenberger Jeffrey , Wang Ke , Engel-Herbert Roman , Wang Mengyi , Shin Yun Kyung , Nayir Nadire , van Duin Adri C. T. , Garten Lauren M.
Published: June 2023

Raman spectroscopy showing the initial formation of SnSe2 followed by the stabilization of SnSe with increased growth time.
Annulation of quinone methides with 2-benzylidene dithiolanes: synthesis of spirochroman dithiolanes
Authors: Singh Surya Pratap , Arora Shivani , Bhardwaj Prashant Kumar , Singh Anand
Published: June 2023

A PTSA catalyzed, expeditious and regioselective annulation of quinone methides with 2-benzylidene dithiolanes leads to synthetically versatile spirochroman products.
Divergent electrosynthesis of 3-iodoindoles and indoles from 2-ethynylanilines under ambient and aqueous conditions
Authors: Huang Binbin , Chen Guiling , Zhang Haoxiang , Tang Xinye , Yuan Jiawei , Lu Caicai , Wang Junlei
Published: June 2023

A mild and simple electrochemical system has been developed for the efficient cyclization of 2-ethynylanilines to selectively access 3-iodoindoles or indoles.
Surface modification of mild steel using 4-carboxyphenyl diazonium in sulfuric and hydrochloric acids. A corrosion study
Authors: Seumo Tchekwagep Patrick Marcel , Aksaray Goncagül , Farsak Murat , Kardaş Gülfeza
Published: June 2023

In this paper, the surface of mild steel is modified with 4-carboxyphenyl diazonium and subsequently, the corrosion behaviour of the modified surface is scrutinized in hydrochloric and sulfuric acid solutions.
Effect of acid treatment on boosting the photoelectrochemical performance of doped and codoped α-Fe2O3 photoanodes
Authors: Wang Yujie , Liu Jinlong , Xu Jie , Hao Xiaobin
Published: June 2023

Acid treatment of Ti-doped α-Fe2O3 photoanode can reduce the onset potential and promote the photocurrent density for photoelectrochemical (PEC) water splitting reaction.
Self-healing hydrogels for bone defect repair
Authors: Li Weiwei , Wu Yanting , Zhang Xu , Wu Tingkui , Huang Kangkang , Wang Beiyu , Liao Jinfeng
Published: June 2023

Self-healing hydrogels respond rapidly, autonomously, and repeatedly to induced damage and can maintain their original properties. This review focuses on their applications in bone defect repair and we discussed the recent progress in this field.
Effects of Ni precursors on the formation of Mg–Fe–Ni intermetallic hydrides, kinetics, and reversibility
Authors: Dansirima Palmarin , Thiangviriya Sophida , Plerdsranoy Praphatsorn , Chanlek Narong , Utke Rapee
Published: June 2023

Different Ni precursors (metallic Ni or Mg2NiH4) used for synthesizing Mg–Fe–Ni based hydrides affect micro-scaled distribution and contacts of the reactive phases upon cycling, altering H2 ab/desorption mechanism and reversible capacities.
Kinetics of photocatalytic degradation of organic compounds: a mini-review and new approach
Authors: Tran Hai D. , Nguyen Dinh Quan , Do Phuong T. , Tran Uyen N. P.
Published: June 2023

A new approach for kinetics study of photocatalytic degradation of organic compounds.
Oxygen-deficient TiO2−x interlayer enabling Li-rich Mn-based layered oxide cathodes with enhanced reversible capacity and cyclability
Authors: Lei Yike , Zhang Yingchuan , Han Yongkang , Ni Jie , Zhang Cunman , Xiao Qiangfeng
Published: June 2023

The oxygen vacancies in the TiO2−x interlayer inhibit the release of oxygen, while Li+ migrates to the anode, thus enhancing the reversibility of the cathode structural evolution and favoring the formation of a cathode electrolyte interface.
Ni–Al layered double hydroxide-coupled layered mesoporous titanium dioxide (Ni–Al LDH/LM-TiO2) composites with integrated adsorption-photocatalysis performance
Authors: Zhang Li-Yuan , Han Yan-Lin , Liu Min , Deng Sheng-Lian
Published: June 2023

Nickel aluminum layered double hydroxides were coupled with layered mesoporous titanium dioxide to obtain Ni–Al LDHs/LM-TiO2 composites with dual adsorption and photodegradation properties by the hydrothermal approach.
Ball milling induced borophene flakes fabrication
Authors: Zielinkiewicz Klaudia , Baranowska Daria , Mijowska Ewa
Published: June 2023

The preparation of borophene flakes by ball milling is shown in the following schematic.
Theoretical prediction on net boroxene as a promising Li/Na-ion batteries anode
Authors: Huang Chunlai , Hu Junping , Ouyang Chuying
Published: June 2023

The most stable 2D boron oxide so far can be used as a high-performance anode for Li-ion or Na-ion batteries.
Chalcogen-substituted carbenes: a density functional study of structure, stability, and donor ability
Authors: Ritch Jamie S.
Published: June 2023

Chalcogen-substituted carbenes are examined computationally, highlighting their unique electronic properties and potential to stabilize radicals and low-valent metals.
Evidence for and evaluation of fluorine–tellurium chalcogen bonding
Authors: Weiss Robin , Aubert Emmanuel , Groslambert Loic , Pale Patrick , Mamane Victor
Published: June 2023

The first in-depth characterization of Te–F chalcogen bonding in solution was achieved by designing and preparing specific Te derivatives followed by their NMR study.
Trajectory engineering of directrons in liquid crystalsviaphotoalignment
Authors: Wu Ke-Hui , Chen Chang-Qi , Shen Yuan , Cao Yu , Li Sen-Sen , Dierking Ingo , Chen Lu-Jian
Published: June 2023

We present the trajectory control of directrons guided by the alignment fields created through polarization holography. The zigzag and fishhook-shaped trajectories of directrons have been achieved. The resolution for zigzag manipulation of directrons is also evaluated.
Strain stiffening elastomers with swelling inclusions
Authors: Heyden Stefanie , Style Robert W. , Dufresne Eric R.
Published: June 2023

Inhomogeneously swollen elastomers are an emergent class of materials, comprising elastic matrices with inclusion phases in the form of microgel particles or osmolytes. Swelling impacts the local stiffness around an inclusion as highlighted in plots of elastic surfaces.
First-principles study of the distribution of excess intercalated lithium in Li3V2O5 with a disordered rock-salt structure
Authors: Shi Jing , Lin Aming , Wu Xiaowei , Wei Su-Huai , Sun Yi-Yang
Published: June 2023

Lithium (Li) incorporation in many metal oxides can form a disordered rock-salt (DRS) structure, which requires a dynamical view to understand.
Biomimetic black phosphorus nanosheets codeliver CDK9 and BRD4 inhibitors for gastric cancer targeted therapy
Authors: Zhang Zhe , Zhang Xiaoyi , Ren Zhaojun , Wu Xiaoliu , Qiao Haishi , Huang Xin , Zhao Wei , Zhang Yuanying , Lou Kexin
Published: June 2023

The combination of BRD4 and CDK9 inhibitors codelivered by M@BP can trigger the significant down-regulation of the MYC oncogene as well as anti-apoptotic genes and induce tumor cell apoptosis by synergistically impairing RNA synthesis in cancer cells.
Thermo-responsive polymer-modified metal–organic frameworks as soft–rigid enzyme-reactors for enhancement of enzymolysis efficiency using a controllable embedding protocol
Authors: Qiao Juan , Cheng Cheng , Li Dan , Qi Li
Published: June 2023

Using a thermo-responsive polymer as a “soft nest”, a protocol was explored for construction of smart soft–rigid polyMOF@enzymes and a concept was developed for enhancing the enzymolysis efficiency of the nano-reactors by varying the temperature.
Nanozyme-based guanidinium peptides mediate surface reactive oxygen species for multidrug resistant bacterial infection management
Authors: Zhu Xufeng , Sun Qiang , Chen Jinjun , Liang Chunmei , Chen Liang , Qi Yi , Luo Hui , Chen Lanmei , Chen Jincan
Published: June 2023

Nanozymes are effective novel antibacterial agents.
In situ precipitation of Cs3Cu2I5 nanocrystals in inorganic glass with long-term water stability for X-ray imaging
Authors: Huang Luojia , Ye Hangtao , Xiang Weidong , Fan Hongbin , Liang Xiaojuan
Published: June 2023

This study successfully synthesized stable Cs3Cu2I5 NC glass ceramics with a quantum yield of up to 63.3% by regulating the SnO content. It was ultimately applied in X-ray imaging, producing clear images with a resolution of 9 lp mm−1.
Design and synthesis of a MnCo-MOF modified flexible 3D graphene sponge electrode for an asymmetric supercapacitor with high power and energy density
Authors: Erçarıkcı Elif , Topçu Ezgi , Dağcı Kıranşan Kader
Published: June 2023

Recently, 3D materials such as graphene sponges with metal–organic frameworks (MOFs) have received a lot of attention as electrodes in energy storage devices.
The electronic structure of novel high-pressure and high-temperature phases of Mn2O3: exploring perovskite and ilmenite-type structures
Authors: Braun Patrick M. , Green Robert J. , Dubrovinsky Leonid , Ovsyannikov Sergey V. , Moewes Alexander
Published: June 2023

The electronic structures of novel phases of manganese synthesized under high-pressure and high-temperature conditions are analysed using X-ray absorption and X-ray emission spectroscopy together with multiplet ligand field theory.
Dust dynamics in current sheets within protoplanetary disks
Authors: Lebreuilly U. , Mac Low M.-M. , Commerçon B. , Ebel D. S.
Published: June 2023

Context.Chondrules originate from the reprocessing of dust grains. They are key building blocks of telluric planets, yet their formation, which must happen in strongly localized regions of high temperature, remains poorly understood.

Aims.We examine the dust spatial distribution near regions of strong local heating produced by current sheets, as a step toward exploring a potential path for chondrule formation. We further aim to investigate current sheet formation under various conditions in protoplanetary disks in the presence of ambipolar diffusion and Ohmic resistivity and the effect of current sheet morphology on dust dynamics in their vicinity.

Methods.We used the RAMSES code including modules for nonideal magnetohydrodynamics and the solution of the dynamics of multiple sizes of dust grains to compute unstratified shearing box simulations of current sheet formation. Through seven models, we investigated the effect of the ambipolar diffusion and Ohmic resistivity strength, the initial density, and magnetic field, as well as the resolution and box size.

Results.We find that current sheets form in all our models, with typical widths of 10−3–10−2AU, and that strong dust fraction variations occur for millimeter-sized grains. These variations are typically of an order of magnitude and up to two orders of magnitude for the most favorable cases. We also show that the box size and resolution has a strong impact on the current sheet distribution and intensity.

Conclusions.The formation of current sheets that can intensely heat their surroundings near strong dynamical dust fraction variations could have important implications for chondrule formation, as it appears likely to happen in regions with a large dust fraction.
Fly ash and bagasse ash embankment in flexible pavements for the analysis and strengthening of black cotton soil’s strength stabilized properties
Authors: Chakravarthy Thokala , Chamberlin K. Shyam
Published: June 2023

Soil stabilization is necessary to increase the soil’s durability, volume stability, and engineering expansion strength. Expansive soils (also known as black cotton soil), a problem that affects the entire world and poses various challenges for civil engineers, are extremely hard while dry but completely lose their strength when wet. In this study, fly ash has been employed to stabilize the soil. Five, ten, twenty, and twenty-five percent of fly ash was used in the experiments. Bagasse ash is an easily accessible byproduct of the sugar cane refining process that has negative environmental effects. In this study, any potential pozzolanic benefits are evaluated while taking into account bagasse ash. material that stabilizes elongated soil In order to examine the soils’ geotechnical characteristics, the experimental investigation focuses on altering the fly ash content of the soils. The goal is to learn more about the characteristics of black cotton soil’s tensile strength. The primary goal of this research is to examine the effects of bagasse ash on the engineering expansive soil’s properties as revealed by various lab tests, and after improving the treated soil through embankment work at various civil engineering activities, such as roadways.
The Development of Tribology in Lubrication Systems of Industrial Applications: Now and future impact
Authors: Adetunla Adedotun , Afolalu Sunday , Jen Tien-Chien , Ogundana Ayodele
Published: June 2023

Over the past 25 years, natural resources have been used up quickly, causing significant damage and contamination to the planet which is earth. Tribology, a new technology for keeping power and parts running, supported extremely fast and efficient coal and oil-powered machinery throughout history. Many different kinds of resource reserves, like those for power and parts, will be gone in a century. Revolutionary zero-emission and durability technologies are in high demand all over the world in order to create new, truly healthy and long-lasting lifestyles for humans and other living things in a symbiotic way. Tribology is expected to expand its technological innovation in order to support a new industrial trend and meet the requirements of the sector. At the moment, the primary factors influencing engine development are cost, performance, governmental requirements, and consumer requirements. In a few instances, the requirements are linked to tribology. For engines to last longer and be more reliable, tribology advancements that reduce friction and increase wear resistance will be crucial. The components under scrutiny are a part of the heavy-duty diesel engines’ valvetrain mechanism. The fuel injector places a lot of strain on the injection cam, making it one of the camshaft’s most problematic components. Lubrication plays a crucial role in avoiding cam failure caused by wear. The cam and roller contact, in any case, has shown to be one of the most provoking tribological plan challenges to handle. For lubricated contacts, the type and amount of wear are significantly influenced by the degree of separation between the surfaces. The term “specific film thickness” refers to this degree of separation and measures the degree to which asperities interact with one another in the lubricated contact. In order to predict lubrication regimes and, consequently, identify the injection cam’s likely wear zones, this paper focuses on measuring the oil film thickness in the cam-roller contact and other machine parts that follows. The results of the experiment (the observation of worn cam surfaces) are then confronted. In the near future, a multivariate analysis will be used to ascertain how the various parameters affect oil film thickness. The following stage will primarily focus on modeling injection cam wear, which will also include quantifying relationships between wear and a specific film thickness.
Performance Evaluation of Cryptographic Security Algorithms on Cloud
Authors: Karanam Madhavi , Reddy S Sahithi , Chakilam Abhinav , Banothu Srinu
Published: June 2023

Cloud computing is a cost-effective approach to provide on demand computing and data storage solutions. Data storage is one of the key services provided by the cloud. Cloud offers improved efficiency, flexibility, and scalability, but all these advantages can be overturned if security is not taken into consideration. It is the cloud vender’s responsibility to keep the data safe with highly secure cloud services, which helps them earn the trust of the customers. Today, cloud security is critical since most organizations are already using cloud computing in alternate forms. There is always a concern that the highly sensitive business information and intellectual property may be exposed or misused due to increasingly sophisticated cyber threats. This research paper provides a distributed architecture for cloud data security which is independent of the underlying platforms. A cloud security architecture provides written and visual model to define how to configure and secure operations within the cloud. This paper compares the performance of RC4 against AES-256. The performance of the proposed encryption algorithms is evaluated on a widely used database MySQL. This paper provides a better solution to ensure the security of cloud databases by using two encryption algorithms.
Electricity Consumption Prediction Using Machine Learning
Authors: Reddy G. Vijendar , Aitha Lakshmi Jaswitha , Poojitha Ch. , Shreya A. Naga , Reddy D. Krithika , Meghana G. Sai.
Published: June 2023

The use of electricity has a significant impact on the environment, energy distribution costs, and energy management since it directly impacts these costs. Long-standing techniques have inherent limits in terms of accuracy and scalability when it comes to predicting power usage. It is now feasible to properly anticipate power use using previous data thanks to improvements in machine learning techniques. In this paper, we provide a machine learning-based method for forecasting power use. In this study, we investigate a number of machine learning techniques, including linear regression, K Nearest Neighbours, XGBOOST, random forest, and artificial neural networks(ANN), to forecast power usage. Using historical electricity use data received from a power utility business, we trained and assessed these models. The data is a year’s worth of hourly power use that has been pre-processed to address outliers and missing numbers. Various assessment measures, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Coefficient of Determination (R2), were used to assess the performance of the models [19]. The outcomes demonstrate that the suggested method may accurately forecast power use. The K Nearest Neighbours(KNN) model outperformed all others in terms of performance, with a 90.92% accuracy rate for predicting agricultural production
Design of 4x1 Circular Microstrip Patch Array Antenna for WLAN Applications
Authors: Reddy Deepak , Reddy Rakshith , Mohith  , Shilpa B.
Published: June 2023

Microstrip patch antennas consists of a thin, flat rectangular or circular metallic patch, which is printed on a dielectric substrate, with a ground plane attached to the opposite side of patch upon substrate. The patch is connected to a coaxial cable or a microstrip transmission line and it emits electromagnetic waves into free space. This type of antenna is used in a variety of fields, including wireless communication, radar sensing, medical applications, and military applications. The antennas needed for these applications are lightweight, conveniently mountable, and have a wide bandwidth. The antenna with the microstrip array and with the edge feeding method has been designed. We had improved the antenna characteristics such as return loss, gain and directivity. It has a return loss of 27.9 dB at a resonance frequency of 2.45 GHz and is intended for a gain of 8.60db. The substrate consists of a dielectric material with a permittivity (Ԑr) of 4.4, a thickness of 1.6mm (about 0.06 in) and fed via an edge feed line method with a resistance of about 50 Ohm. This antenna can be applied to S-band applications like radar tracking, Weather updates. The tool we have used to design and evaluate the antenna’s characteristics is HFFS.
An Ensemble Learning Approach For Task Failure Prediction In Cloud Data Centers
Authors: Dugyala Raman , Kumar T. Naveen , E Umamaheshwar , Vijendar G.
Published: June 2023

Due to cloud computing’s extensive use and diverse nature, they experience failures in terms of software, service, and platform, which lead to the failure of task execution, resource waste and performance deterioration. Most studies focused on failure prediction resulted in lower prediction accuracies due to limited attributes and a single prediction model. Hence, in this paper, an efficient ensemble model for task failure prediction is put forth. Initially, the input dataset is collected and pre-processed. In pre-processing, the dataset is cleaned up of all null values. Then, the dimensionality of the pre-processed dataset is reduced by using the PCA algorithm. Thus, the reconstructed dataset is split into training and testing sets to train failure prediction models. The proposed model employs an ensemble learning approach based on different ML and DL algorithms. Then, a comparative study is performed, and the results show that task failure in the cloud system can be effectively predicted using the proposed ensemble method.
Smart Vehicle Monitoring And Tracking System
Authors: Sai Teja Pendur , Shiva Smaran Reddy Nagireddy , Pandugu Praveen Kumar , Vangari Pratheek
Published: June 2023

Nowadays tracking a theft vehicle or monitoring continuously vehicles, tracking systems have escalated quickly. The major concern of the proposed system is identifying vehicle theft and monitoring its status. We can use this in several ways such as delivering security to vehicles such as bikes or cars and many other vehicles and if there are any goods in the vehicle, with the help of this we can keep track of the vehicle in maps. This is very useful for tracking the movement of a vehicle from any location at any time. In this, we can make a tracking system that is modelled and executed for tracking the signal of any enabled vehicle from any geographical location.
Air Quality Index Prediction
Authors: Avvari Pavithra , Nacham Preethi , Sasanapuri Snehitha , Mankena Sirija Reddy , Kudipudi Phanisree , Madapati Aishwarya
Published: June 2023

Falling back past few years rapid progress in Air pollution has become a life-threatening concern in many nations throughout the world due to human activity, industrialisation, and urbanisation.. As a result of these activities, sulphur oxides, carbon dioxide (CO2), nitrogen oxides, carbon monoxide (CO), chlorofluorocarbons (CFC), lead, mercury, and other pollutants be emitted into atmosphere. Simultaneously, estimating quality of air is a tough undertaking because of evolution, variability, also unreasonable unpredictability over pollution and particle region and time. In this project we compare the two Algorithms of machine learning in predicting Index of Air Quality and its predominant. Support vector machine (SVM) exists as prominent machine learning method beneficial to forecasting pollutant plus particle levels and predicting the air quality index (AQI), and Random Forest Regression is another. We'll be working with data from India's Open Government Data Platform. This website displays Air Quality Index readings from around India, including Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), and Particulate Matter (PM) are examples of contaminants (PM10 and PM2.5), Carbon Monoxide (CO), and others. The output of the project is the predict of Air Quality index using two different algorithms and the comparison of models using various error metrics.
Iraqi Lemon Peel Extract (Citrus limon) as Antibacterial and Antioxidant Agent
Authors: Younus Nada Khairi
Published: June 2023

The plants are rich of metabolites that can be enter many fields of life, called phytochemicals. The most important features of phytochemicals are shown in human health. The natural components of plants can exhibit anti-diabetic, anti-inflammation, anti-viral, antifungal, antibacterial, antioxidant, and other properties with benefits to the human health. The bacterial resistance to the traditional drugs has opened the area of research to overcome this serious problem. Another contributor to health problems is oxidative stress, which is caused by an inadequate supply of antioxidants to counteract the free radicals. Lemon (citrus limon) has shown to contain wide spectrum of phytochemicals with therapeutic behavior. Our study was designed to investigate two types of lemon peels extract on microbes growth and free radical scavenging, one as pure peel oil, and the other is an extract by methanol. Our findings demonstrate that an extract of Iraqi lemon peel is an effective microbicidal agent, with significant growth suppression against Escherichia coli, Klebsiella sp., Staphylococcus epidermidis, Staphylococcus aureus, as well as Candida albicans. The ethanolic extract of the lemon peels has shown to be more effective against the growth of microbes. Furthermore, Iraqi lemon peel extract of both oil and ethanolic have exhibited an antioxidant activity comparable to the pure ascorbic acid. This features of lemon peels make it a very good candidate for natural therapeutic medicine.
Epidemiological study of human diarrhea- causing protozoa in Wasit governorate
Authors: Abbas Hussam Abdullah
Published: June 2023

The study and Laboratory examinations were performed between (January 2021 and April 2021). We conducted an epidemiological study of intestinal protozoa parasites in the Wasit governorate. The number of samples that collected 500 stool samples in the city center of Kut and Numaniah city. Samples were collected by container from both sexes male and female have the symptom of the infected protozoan parasite, and examined by microscopy with a wet smear method, use a light microscope to detect these protozoan parasites morphologically . We recorded the highest percentage of protozoan parasite infection Entamoeba histolytica (84%) and the lowest percentage of parasite infection Giardia lamblia (16%). The result of laboratory tests showed that males were infected with a higher rate (54%) and the lowest percentage of females (46%). Due to the importance of the intestinal protozoa parasites in the community, this study was encouraging due to the high infection rate.
Role of Exosomes in Tumor Development: Current Knowledge and Future Directions
Authors: Al- Hayani Amina Jasim Mohammad
Published: June 2023

The role of exosomes and how they act at the tumour site are subjects of growing study. These macrovesicles can be formed by a variety of cell types, including immunological and mesenchymal stem cells (MSCs). In particular, exosome synthesis by tumor cells is crucial because these exosomes can be transported by blood to distant organs and enhance the probability of tumor spread. Exosomes may have tumor-inhibiting effects depending on the kind of tumor and cell source, despite data indicating that they have tumor-promoting qualities. This review seeks to provide a thorough evaluation of exosome biogenesis, composition, and isolation before highlighting current understanding of their function in promoting or inhibiting cancer by paying particular attention to exosomes produced by MSCs (MSC-EXOs).
Energy Management System for Small Scale Hybrid Wind Solar Battery Based Microgrid
Authors: Kumar P. Sai Sampath , Lenine D. , Kiran P. Sesi , Tummala Suresh Kumar , Al-Jawahry Hassan Mohmmed , Singh Swati
Published: June 2023

In recent years, the power system has been evolved into micro grids, which are little pockets of self-contained entities. Different distributed, interconnected generation units, loads, and energy storage units make up a typical microgrid system. The increased energy efficiency of these units on micro grids is gaining popularity Day-by-Day. Because of their stochastic behavior, renewable generation causes an imbalance in the power system, which needs microgrid energy management. An efficient energy management system for a small-scale Hybrid Wind-Solar- Battery based microgrid is proposed in this paper. The wind and solar energy conversion systems and battery storage system have been developed along with power electronic converters, control algorithms and controllers to test the operation of hybrid microgrid. The power balance is maintained by an energy management system for the variations of renewable energy power generation and also for the load demand variations. In this system, for reliable and stable operation of a microgrid with multiple DGs, coordinated control of energy management system is proposed. The control algorithms of microgrid system are verified by Matlab Simulation.
Medical Image Watermarking for Tamper Detection in ROI Using LWT and Hashing
Authors: Konda Chaitanya , Kumar U. Sathish , Kodirekka Arun
Published: June 2023

Security is one of the important characteristics while transmitting the data particularly medical images and patient information over cyberspace without any loss of information. In the proposed method LWT, DCT and SHA-256 hashing techniques are used to provide security to the patient data and to detect tampers in ROI of the medical images. In this paper, medical image is segmented into three regions, region of interest (ROI), region of non interest (RONI) and BORDER regions. ROI is an area that has an important impact on diagnosis, whereas RONI has less or no significance in diagnosis. This paper proposed ROI based tamper detection that embeds hash value of ROI into RONI for authentication and also embed the patient information into RONI for providing security. The experimental results of the proposed method on various medical image databases proved to identify the tampers in medical images. Compared with the existing technique, the proposed method offered high Peak Signal to Noise Ratio (PSNR) approximately 59db for watermarked medical images.
Support Vector Regression approach for prediction of delamination at entry and exit during drilling of GFRP Composites
Authors: Nayak Bijaya Bijeta , Kundu Souranil , Sahu Sasmita , Roy Sudesna , Das Shiv Sankar
Published: June 2023

The demand for Composites in the modern era have increased immensely due to its vast applications and superior properties over conventional materials. Glass Fibre Reinforced Plastic (GFRP) is one of the economic alternative to conventional engineering materials due to its high specific modulus of elasticity, high specific strength, good corrosion resistance, high fatigue strength and lightweight. Components made out from GFRP composites are usually near net shaped and require holes for assembly integration. Drilling is an important process as concentrated forces can cause major damage to the composite. Drilling of GFRP causes various damage such as thermal degradation, fibre breakage, matrix cracking and delamination. A substantial damage is caused by delamination which can occur both on the entry and exit sides of the composite, exit side delamination considered more severe. Therefore, selection of proper process parameters during drilling operation is very much essential. In the present work, a support vector regression (SVR) model is developed to predict the delamination at entry and exit during the drilling of GFRP composites. The model is developed based on the data obtained from experimentation. The model accuracy is evaluated by the three performance criteria including root mean square error (RMSE), Nash–Sutcliffe efficiency co-efficient (E) and co-efficient of determination (R2). The model provides an inexpensive and time saving alternative to study the delamination at entry and exit of the GFRP composite actual drilling operation.
Effects Of Submerged Friction Stir Welding On Mechanical Properties Of AA6061 In Seawater
Authors: salavaravu Laxmanaraju , Dirisenapu Gopichand , Dumpala Lingaraju , kolli Murahari , Bandi Rajyalakshmi , Satyanarayana Kosaraju
Published: June 2023

In this study, Al-Mg-Si alloy AA6061-T6 plates were joined in a seawater environment using the Submerged Friction Stir Welding (SFSW) technique, and process parameters were optimized using Taguchi L9 orthogonal arrays (OA). The parameters considered were tool rotational speed, tool transverse speed, and tool pin geometry. The MINITAB-17 software was used to analyze the responses using the signal-to-noise (S/N) ratio and analysis of variance (ANOVA). The optimum process parameters for tensile strength and joint Microhardness were determined. Furthermore, the ANOVA reveals that the tool rotational speed is the most important factor in determining joint mechanical properties such as UTS and Microhardness, with transverse speed and tool pin geometries coming in second and third. Experimental results confirm the effectiveness of this approach. The parent material microstructure and submerged stir welded samples were compared using metallographic scanning electron microscopy (SEM).