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AbstractAccording to worldwide health data, cancer, and inflammatory illnesses are on the rise and are among the most common causes of death. Across the world, these types of health problems are now considered top priorities for government health organizations. Hence, this study aimed to investigate medicinal plants’ potential for treating cancer and inflammatory disorders. This network pharmacology analysis aims to learn more about the potential targets and mechanisms of action for the bioactive ingredients in Sauropus androgynus(L.) Merr L. The compound-target network and protein-protein interaction analysis were built using the STRING database. Using Network Analyst, Gene Ontology, and Kyoto Encyclopaedia of Genes and Genomes, pathway enrichment was performed on the hub genes. 1-hexadecanol was shown to inhibit drug-metabolizing enzymes in a pharmacokinetic investigation. Those samples of 1-hexadecanol were found to be 1-hexadecanol (BBB 0.783), GI High, Pgp Substrate Yes, CYP2C19 Inhibitor Yes, CYP2D6 Yes, and HI −89.803. The intermolecular binding energies for 1-hexadecanol (4-DRI, −8.2 kcal/mol) are evaluated. These results from a study on S. androgynusused molecular docking and network pharmacology to gain insight into the prime target genes and potential mechanisms identified for AKT1, mTOR, AR, PPID, FKBP5, and NR3C1. The PI3K-Akt signalling pathway has become an important regulatory node in various pathological processes requiring coordinated actions. Stability and favourable conformations have been resolved by considering nonbonding interactions such as electrostatic and hydrogen bonds in MD simulations of the perfect molecules using the Desmond package. Thus, using an appropriate platform of network pharmacology, molecular docking, and in vitroexperiments, this study provides for the first time a clearer knowledge of the anti-cancer and anti-inflammatory molecular bioactivities of S. androgynus.Further in vitroand in vivoconfirmations are strongly needed to determine the efficacy and therapeutic effects of 1-hexadecanol in the biological process.Communicated by Ramaswamy H. Sarma

The current research happens green mediated obtaining of MgO nanoparticles via Magnolia champaca(L) plant root for analysis of its significant bio-clinical implementations. The green-mediated obtained magnesium oxide nanoparticles are confirmed through using XRD, FTIR, SEM, TEM, and UV-visible spectroscopy analysis. The green-associated M. champacasynthesized MgO nanoparticles revealed an absorption wavelength of 470 nm which is respective to MgO NPs. FTIR spectrum of the plant obtained MgO NPs showed strong spectrum at 2357, 2178, and 2015cm−1(methylene groups of proteins), 1611 cm−1(amide or carboxylate salt), 1393 cm−1(carboxylate salt as and adsorption of CO32–and CO2in the surface of MgO-NPs.), 1059 cm−1(Mg–OH stretching), 647, and 577 cm−1(Mg-O). The shape morphology of plant-mediated MgO NPs was determined through SEM revealing irregular shape and a scale range of 100 nm. Total antioxidant activity, scavenging and DPPH activity of plant-mediated obtained MgO NPs, plant extract, and ascorbic acid are evaluated, and the obtained results show better antioxidant activity in MgO NPs. The higher zone of suppression has seemed on the plant-associated obtained MgO NPs (120 g/mL) towards B. subtilisMTCC 1133 (21 ± 0.22 mm) and P. aeruginosaMTCC 2582 (23 ± 0.30 mm). The plant-mediated obtained MgO NPs revealed higher antibacterial properties compared to the antibiotic drug which effectively lower the alterations for the formation of antibiotic resistance of bacterial samples. The plant-mediated and obtained MgO NPs was found to highest antioxidant properties when differentiate from ascorbic acid. Plant-mediated obtained MgO NPs give an effective method that might be safe and high-scale industrial formation showing the merits of eco-friendly and low economic and also useful for various biomedical implementations.

THE SUN SETS IN SINGAPORE Kehinde Fadipe Read by Dami Olukoya Dami Olukoya juggles the three central female characters in this audiobook. The lives of these expatriates play out amid [...]

MY FRIENDS Hisham Matar Read by Hisham Matar Narrating his novel, Hisham Matar gives the story of love, loss, and exile during political turmoil a melancholy undertone and a delicate [...]

Vehicular Ad-Hoc Networks (VANETs) are studied wireless networks that enable communication among vehicles and roadside infrastructure. The role a vital play in improving on-road safety, efficacy, and convenience by enabling real-time data interchange for controlling traffic, infotainment services, and collision avoidance. Energy efficiency in VANETs is vital because of the restricted power resources of vehicles. Methods like clustering, vehicles are categorized into groups to decrease communication overhead, and meta-heuristic approaches that optimize network performance by intelligent problem-solving approaches are deployed to exploit energy efficiency while preserving network reliability and responsiveness. These methodologies contribute to the effective implementation of VANETs, ensuring sustainable and dependable communication in dynamic vehicular environments. In this study, a new Squid Game Optimization based Energy Aware Clustering Approach (SGO-EACA) technique for VANET is introduced. The goal of the SGO-EACA technique is to optimally choose the cluster heads (CHs) and produce clusters in the VANET in such a way as to realize energy efficiency. In the SGO-EACA technique, the concept of typical Korean sport is used where the attackers try to achieve their goal, but players try to eliminate each other. Moreover, the SGO-EACA approach derives a fitness function (FF) containing multiple metrics such as Residual Energy (RE), Trust Level, Degree Difference, Total Energy consumption, Distance to Base Station (DBS), and Mobility. The simulation values exposed that the SGO-EACA approach surpassed earlier state-of-the-art approaches with respect to various aspects.

ENTER GHOST Isabella Hammad Read by Nadia Albina Nadia Albina is a powerful narrator of this inventive novel, which features a prodigal daughter returning home from a long-term self-exile abroad. [...]

Device-to-Device (D2D) communication is a key enabling technology to replace base station-to-device(B2D) communication. D2D with IoT realization has spectral and energy-efficient features for on-time quality data transfer. However, the rapid growth of such networks and the dynamic quality of service demands of user equipment require robust and efficient service quality in disasters, outages, and adversarial conditions. To address this challenge, this paper proposes a triple modular redundancy based on the maximum distance separable (TMR-MDS) technique has been proposed, which modifies the repair bandwidth by utilizing more storage occupation and improving the D2D link availability in the system. The proposed TMR-MDS technique will be used, which is composed of two phases: trust management modules and triple modular redundancy storage modules. As part of the initial stage of trust management, a fuzzy logic model is employed to determine the user’s trust value after the user’s behaviour is examined. Second, using the majority voting scheme to improve triple modular redundancy storage. Furthermore, if any problem occurs in the node, then it will self-organize. MATLAB is used to evaluate the performance of the proposed system. The overall system performance is evaluated in terms of the network’s trust level, and the communication cost of the proposed strategy. As per the experimental results, the proposed TMR-MDS method has a better performance of 12.67%, 23.68%, and 25.87% than hierarchical bi-partite, double replication MDS, and unequal repairing locality code.

Pyrolysis of a branched alcohol, 2-methyl-2-butanol (2M2BOH), was carried out behind the reflected shock wave in the temperature range of 1011–1303 K and under pressures varying from 9.3 to 14.6 atm. Qualitative and quantitative analysis of the postshock mixture was performed using gas chromatography-mass spectrometry and gas chromatography with a flame ionization detector, respectively. The rate coefficients for the C–C and C–O bond cleavage reaction pathways were calculated using the variational transition-state theory. The Rice–Ramsperger–Kessel–Marcus/Master equation was employed to calculate the rate coefficients for the H2O-elimination reactions, unimolecular dissociation, and isomerization reaction pathways. The overall decomposition rate coefficient for the 2-methyl 2-butanol (2M2BOH) was estimated to be ktotalexpt(1011−1303K)=(3.29±0.73)×1011×exp[−(47.41±0.53T)]s−1, where activation energy is given in kcal mol–1. The reaction path analysis was performed, which gives information regarding the contribution of individual intermediate species toward the decomposition of 2M2BOH. A set of reactions was proposed and used to simulate the combustion chemistry of 2M2BOH, which consists of 48 reactions and 39 species. The experimentally measured and simulated mole fractions for the reactant and products showed reasonably good agreement. This work additionally investigates the effect of branching on the decomposition kinetics of long-chain alcohols.

Reoperative vascular ring surgery is uncommon. Standard redo ipsilateral thoracotomy may present technical challenges and risks. We describe a patient with right aortic arch, aberrant left subclavian artery, and a Kommerell diverticulum in whom previous vascular ring division via left thoracotomy did not relieve dysphagia. Three years after the unsuccessful operation, left subclavian–carotid transposition via supraclavicular incision followed by resection of the Kommerell diverticulum via right thoracotomy with extracorporeal circulation relieved symptoms. Contralateral thoracotomy with extracorporeal circulation provides a safe, alternative approach to redo ipsilateral thoracotomy for resection of a symptomatic Kommerell diverticulum. We review the literature on the incidence, surgical indications, and operative approaches to manage symptoms from a Kommerell diverticulum.

LILIANA'S INVINCIBLE SUMMER: A Sister's Search for Justice Cristina Rivera Garza Read by Victoria Villarreal Victoria Villarreal becomes the voice of a loving, tormented family member, Cristina Rivera Garza, who [...]

LIFE IN FIVE SENSES: How Exploring the Senses Got Me Out of My Head and Into the World Gretchen Rubin Read by Gretchen Rubin Fans of the self-proclaimed 'happiness bully,' [...]

MAAME Jessica George Read by Heather Agyepong Heather Agyepong portrays Maddie's dilemmas as a modern woman of two worlds: her current one, England, and the one her parents emigrated from, [...]

Many large molecular machines are too elaborate to assemble spontaneously and are built through ordered pathways orchestrated by dedicated chaperones. During assembly of the core particle (CP) of the proteasome, where protein degradation occurs, its six active sites are simultaneously activated via cleavage of N-terminal propeptides. Such activation is autocatalytic and coupled to fusion of two half-CP intermediates, which protects cells by preventing activation until enclosure of the active sites within the CP interior. Here we uncover key mechanistic aspects of autocatalytic activation, which proceeds through alignment of the β5 and β2 catalytic triad residues, respectively, with these triads being misaligned before fusion. This mechanism contrasts with most other zymogens, in which catalytic centers are preformed. Our data also clarify the mechanism by which individual subunits can be added in a precise, temporally ordered manner. This work informs two decades-old mysteries in the proteasome field, with broader implications for protease biology and multisubunit complex assembly.

For a given fuzzy metric M, we introduce two different nets (ΔM,λ)and (δM,λ)of metrics constructed from the fuzzy metric M, and prove that both nets converge to the same limit, under a necessary and sufficient condition. The common limit is called the actual metric representing the fuzzy metric M. We also derive some of the properties of these approximate metrics ΔM,λand δM,λ. On the other hand, for a given metric d, we establish that the fuzzy metric representing Mdwith values in {0,1}and dare compatible with the same topology. Further, we prove that if a metric dinduces a fuzzy metric Md, then all the approximate metrics ΔM,λand δM,λconstructed from this fuzzy metric are equal to the original metric d.

This study investigates the performance of twill-weaved woven mats fabricated from a blend of banana fiber and cellulose extracted from cassava root fibers incorporated into a polyester resin matrix. Employing a meticulous hand layup technique, the laminates underwent careful crafting and curing processes. The cured specimens are characterized as per American Society of Testing of Materials (ASTM) standards for assessing the mechanical, wear, and hydrophobic properties of the specimens. The research reveals compelling findings, particularly in the composite designated as PBC3, which features 35 vol.% banana fiber and 4 vol.% cellulose. PBC3 exhibited notable improvements in key mechanical properties: tensile strength reached 150 MPa, flexural strength measured 180 MPa, interlaminar shear strength achieved 32.7 MPa, Izod impact resistance demonstrated 6.53 J, and Shore-D hardness registered at 84. Additionally, PCB3 showcased remarkable wear resistance with a coefficient of friction (COF) of 0.38 and a specific wear rate of 0.011 mm3/Nm. All composites exhibited a contact angle surpassing 70°, emphasizing a pronounced hydrophobic nature. Notably, PBC3 displayed a contact angle of 73°, and also elevated flammability is evidenced by a propagation speed of 16.21 mm/min, coupled with UL-94 ratings of V-1 and HB. Scanning electron microscope (SEM) fractograph images elucidate that the integration of surface-treated cellulose and enhanced bonding between fiber and matrix significantly contributed to the overall improvement in load-bearing properties. In conclusion, cellulose derived from cassava waste roots and banana fiber emerge as valuable components for the fabrication of high-performance composites tailored for diverse engineering applications.

Recently, anomaly detection (AD) in streaming data gained significant attention among research communities due to its applicability in finance, business, healthcare, education, etc. The recent developments of deep learning (DL) models find helpful in the detection and classification of anomalies. This article designs an oversampling with an optimal deep learning-based streaming data classification (OS-ODLSDC) model. The aim of the OS-ODLSDC model is to recognize and classify the presence of anomalies in the streaming data. The proposed OS-ODLSDC model initially undergoes preprocessing step. Since streaming data is unbalanced, support vector machine (SVM)-Synthetic Minority Over-sampling Technique (SVM-SMOTE) is applied for oversampling process. Besides, the OS-ODLSDC model employs bidirectional long short-term memory (BiLSTM) for AD and classification. Finally, the root means square propagation (RMSProp) optimizer is applied for optimal hyperparameter tuning of the BiL-STM model. For ensuring the promising performance of the OS-ODLSDC model, a wide-ranging experimental analysis is performed using three benchmark datasets such as CICIDS 2018, KDD-Cup 1999, and NSL-KDD datasets.

Digital forensic is a process of pre-processing, identification, modelling, extraction, and documentation of computer evidence. The forensic investigations in today's human life are more important due to the high-level cyber crime activities and other proof-less investigations happening under various public and private domains. The computer world updates various methods to do the investigation activities and most of the methods are working based on the existing activity monitoring and proof-based content available for the processing. Various computer platforms give many procedures to continue the investigation process, but the effectiveness and accuracy is completely depending on the tools and data proof used while processing the data. Linux is one of the most eligible and rich tools providing platform with various proofreading mechanisms. We are trying to furnish the most effective methods used for digital forensic investigations in Linux platform, which were proven to be with high level of accuracy and integrity. This article can provide various mechanism used in the tools and its effectiveness through an excavation method.

Dissimilar friction stir welding (FSW) of aluminum alloys has paved way for the manufactures to explore the possibilities of using cost-effective materials. This paper investigates the microstructural characteristics and mechanical behavior for joining AA6061-T6 and AA7075-T6 aluminum alloys by FSW technique. A total of 20 joints were fabricated by varying the ranges of tool rotational speed (N), welding speed (S), axial load (L) and tool shoulder diameter to pin diameter ratio (R). The effects of these parameters are evaluated by varying one parameter within the range and keeping all other parameters constant. Macro-, microstructural and fractographic studies for each joint were presented in detail. The variation in tensile strength, hardness, and grain size for each joint was analyzed and presented. Fractographic analysis clearly shows that the failure has occurred due to ductile fracture. It was found that at rotational speed of 1100 RPM, welding speed of 26 mm/min, axial load of 7 kN, and a tool shoulder diameter to pin diameter ratio of 3 quality welds with higher tensile strength and hardness can be obtained. A greater reduction in grain size can be seen in stir zone was the reason for increase in mechanical behavior.

ABSTRACTIn medical applications, ocular OCT (optical coherence tomography) is used to assess glaucoma, macular degeneration, diabetic macular edema and other eye diseases as it is capable of showing the cross-sections of tissue layers. The creation of new blood vessels in the choroid layer of the eye is known as choroidal neovascularization (CNV). The aging and macular degeneration will represent the symptom DRUSEN. Our sharp central vision is affected due to DRUSEN. An irreversible vision loss is caused in diabetic patients due to diabetic macular edema (DME). It is mainly due to the leaking of blood vessels in the retina. This research work focus on designing a clinical decision support system to assist the ophthalmologist in classifying the three different types of eye diseases. The existing nine pre-trained CNN models are used for this purpose. The extracted features are used to generate the trained model that is further used for eye disease classification. The training accuracy, validation accuracy, training loss and validation loss are computed for 100 iterations for each pre-trained CNN models during training and validation. The trained model obtained after training is used as input to the classifier, which classifies the images under-diagnosis into NORMAL (normal eye), CNV, DME and DRUSEN. The performance metrics of the classifier designed using each pre-trained models are evaluated and compared for four classes independently. The test results show that the performance of the classifier implemented using the pre-trained model InceptionV3 is better than all other models.

B.F.F.: A Memoir of Friendship Lost and Found Christie Tate Read by Christie Tate Christie Tate uses self-deprecating humor as she narrates her unique memoir. It's a recovery story mixed [...]

SHE MEMES WELL Quinta Brunson Read by Quinta Brunson Quinta Brunson is a comic viral meme maker and successful television writer. She brings all these talents to her quick and [...]

IN THE TIME OF OUR HISTORY Susanne Pari Read by Mozhan Marno Mozhan Marno brings a sensitive, evocative tone to this intergenerational story of the women in an Iranian American [...]

(d) THE VIBRANT YEARS Sonali Dev, Mindy Kaling [Intro.] Read by Deepti Gupta, Soneela Nankani, Anita Kalathara Narrators Deepti Gupta, Soneela Nankani, and Anita Kalathara come together to represent three [...]

THE ORPHANAGE Serhiy Zhadan, Reilly Costigan-Humes, Isaac Stackhouse Wheeler [Trans.] Read by Matthew Lloyd Davies Matthew Lloyd Davies is the strong, somber voice of this searing novel set in war-torn [...]

Lung cancer remains the deadliest cancer in the world, and lung cancer survival is heavily dependent on tumor stage at the time of detection. Low-dose computed tomography screening can reduce mortality; however, annual screening is limited by low adherence in the United States of America and still not broadly implemented in Europe. As a result, less than 10% of lung cancers are detected through existing programs. Thus, there is a great need for additional screening tests, such as a blood test, that could be deployed in the primary care setting.

The present study highlights the metal ions and existing drug ampicillin-loaded nano-hydroxyapatite (nHAP) coated on 316 stainless steel alloy (316LSS) using the electrodeposition method. In addition, the sample phase purity and crystallinity of the HAp composite coatings on 316LSS were analyzed by X-ray diffraction analysis (XRD) and Fourier transform infrared (FT-IR) spectroscopy using the KBr pellet method. The coating microstructure/morphology was characterized using a scanning electron microscope, which showed a flower-like morphology with the attachment of energy-dispersive X-ray spectroscopy (EDX) to confirm the major element groups in the synthesized sample. The TGA results showed that weight loss occurred in the temperature range of up to 800 °C for oxidation and reduction reactions. Additionally, the beat-optimized nanomaterial showed promising in vitro bioactivity against disease-causing microorganisms, displaying a significant zone of inhibition. Furthermore, cytotoxicity assessment using the MTT assay demonstrated that the synthesized samples effectively inhibited cell proliferation in human osteosarcoma cell lines (Saos-2). AO/EB double staining performed under a fluorescence microscope indicated changes in the morphology of the apoptotic cell nuclei. In addition, the relationship between ROS and nanomaterial-induced apoptosis in Saos-2 cells was analyzed by flow cytometry. MMP (ΔѰmt) profiling showed that the HAp composite increased the effective mitochondrial membrane damage or depolarization in the human osteosarcoma cell line. Moreover, the TUNEL assay suggested that treated nanomaterial with Saos-2 cells showed enhanced green fluorescence intensity, indicating terminal DNA damage. The obtained results meet the recommended physiological standard for synthesized 316LSS HAp composites to guide bone tissue regeneration.

EAT UP! Food, Appetite and Eating What You Want Ruby Tandoh Read by Ruby Tandoh Ruby Tandoh is an established British foodie from the hit reality TV show 'The Great [...]

DOWNTON SHABBY: One American's Ultimate DIY Adventure Restoring His Family's English Castle Hopwood DePree Read by Graham Halstead Graham Halstead milks the full scale of drama and humor from American [...]

CAUGHT IN THE ACT: A Memoir Shane Jenek Read by Shane Jenek Author/narrator Shane Jenek delivers the journey of his self-discovery and transformation at a jaunty pace that captures his [...]

LESSER KNOWN MONSTERS OF THE 21ST CENTURY: Stories Kim Fu Read by Piper Goodeve, Sean Patrick Hopkins, Samara Naeymi, Gary Tiedemann, Jeena Yi A stellar cast comes together to create [...]

ABSTRACTThis paper presents the machining characteristics of AA6061/(0–9 wt%) ZrB2+ ZrC aluminium metal matrix composites using polycrystalline Diamond(PCD). In the present investigation, AMCs were fabricated by in situ reactions between K2ZrF6, KBF4and SiC particles. The electric stir casting furnace was used to fabricate the AMCs under a controlled environment. X-ray diffraction patterns (XRD) and field emission scanning electron microscope (FESEM) were used to ascertain the formation of ZrB2and ZrC particles in the AMCs. FESEM micrographs confirmed the uniform distribution of ZrB2and ZrC particulates along with good interfacial bonding with matrix aluminium alloy. The effect of varying wt% of ZrB2+ ZrC along with cutting speed, feed and depth of cut on machining forces and surface roughness were analysed. FESEM was used to study the morphology of cutting tool, machined surface and chip formation. It was observed that cutting forces reduce with increase in cutting speed due to decrease in built-up edge (BUE) formation and deprivation of dislocation density. The tool wear increased with increase in cutting speed, depth of cut and ZrB2+ ZrC content due to the increase in abrasive action of ceramic particles and reduction of stable BUE.

ATLAS OF THE HEART: Mapping Meaningful Connection and the Language of Human Experience Brene Brown Read by Brene Brown Brene Brown has an established reputation for frankness, honesty, and humor [...]

SEEKING WISDOM: A Spiritual Path to Creative Connection (A Six-Week Artist's Way Program) Julia Cameron Read by Eliza Foss, Julia Cameron [Intro.] This soul-centered program is written by respected artist [...]

DIET FOR A SMALL PLANET (REVISED AND UPDATED) Frances Moore Lappe Read by Kimberly Farr Narrator Kimberly Farr captures the earnestness of this classic about how everyday food choices can [...]

(a) THE HIGH HOUSE Jessie Greengrass Read by Camilla Roekley, Sam Newton, Mariam Abu-Hejleh Narrators Camilla Roekley, Sam Newton, and Mariam Abu-Hejleh work together to create a lush listening experience [...]

(a) HONOR Thrity Umrigar Read by Sneha Matkan Sneha Mathan is a strong narrator for this complicated and painful story of forbidden love in modern-day India. Mathan is a powerful [...]

LISTENING STILL Anne Griffin Read by Nicola Coughlan Narrator Nicola Coughlan brings a lovely lilting accent that enhances this contemporary Irish tale about the Mastersons, a family of undertakers whose [...]

This study aimed to translate the Medication Use Questionnaire into a Malay version, adapt it to Malaysia’s culture, and verify its reliability among Malaysia’s older adults.

In this study, we utilized Agaricaceae, or mushrooms, as the carbon source for the hydrothermal production of multifunctional carbon dots (MCDs). The MCDs showed remarkable features such as bright blue fluorescence, exceptional biocompatibility, high quantum yield, and efficient biolabeling ability. Moreover, the MCDs displayed extraordinary specificity towards HOCl, and could detect it in deionized water with a lower detection limit of 3.38 nM. Additionally, the MCDs had potent antioxidant properties, low cytotoxicity, and high cell permeability, as confirmed by DPPH and reducing potential analysis. Furthermore, the MCD probe proved to be highly useful in various biological applications, including the detection of endogenous HOCl in the RAW 264.7 cell line and the assessment of PMA-induced endogenous HOCl formation using confocal imaging. The synthesis of carbon dots (CDs) from a natural resource such as mushrooms is a promising prospect due to their exceptional physicochemical properties and broad range of potential applications.

In recent times, a lack of discrimination power in the features produced by traditional machine learning algorithms has resulted in poor classification results. It is also a study topic to find out how to get excellent classification results with limited samples without getting overfitting issues in hyperspectral images (HSIs). These issues can be addressed by utilising a new learning network structure developed in this study. EfficientNet-B4-Based Convolutional network (EN-B4), which is why it is critical to maintain a constant ratio between the dimensions of network resolution, width, and depth in order to achieve a balance. The weight of the proposed model is optimized by Search and Rescue Operations (SRO), which is inspired by the explorations carried out by humans during search and rescue processes. Tests were conducted on two datasets to verify the efficacy of EN-B4, with Indian Pines (IP) and the University of Pavia (UP) dataset. Experiments show that EN-B4 outperforms other state-of-the-art approaches in terms of classification accuracy.

[B] WILL Will Smith, Mark Manson Read by Will Smith Will Smith tells all in this memoir of his spectacular journey from his childhood in Philadelphia to his career as [...]