Development of Luminescent and Photosensitive Cellulose Microfibers From Palm Sprout Fibers: Antibacterial Efficacy and Dye Adsorption Potential.

A key contemporary challenge is enhancing the value of agro-industrial byproducts. Cellulose, the most abundant renewable resource, offers significant industrial potential due to its versatile properties. Produced in its pure form by various bacteria, cellulose is increasingly utilized in microscale and nanoscale fibers for composite reinforcement.

Enhanced SOC estimation of lithium ion batteries with RealTime data using machine learning algorithms.

Accurately estimating Battery State of Charge (SOC) is essential for safe and optimal electric vehicle operation. This paper presents a comparative assessment of multiple machine learning regression algorithms including Support Vector Machine, Neural Network, Ensemble Method, and Gaussian Process Regression for modelling the complex relationship between real-time driving data and battery SOC. The models are trained and tested on extensive field data collected from diverse drivers across varying conditions.

Flower-like Ag-decked non-stoichiometric BiO/rGO hybrid nanocomposite SERS substrates for an effective detection of Rhodamine 6G dye molecules.

In early years, SERS-active substrates were generally noble metals. However, their practical applications were limited due to their poor biocompatibility, low uniformity and high cost. Recently, the utilization of semiconductor SERS-active substrates has greatly expanded the applications of SERS in many fields.

Crystal structure and Hirshfeld-surface analysis of a monoclinic polymorph of 2-amino-5-chloro-benzo-phenone oxime at 90 K.

The synthesis and crystal structure of a monoclinic polymorph of 2-amino-5-chloro-benzo-phenone oxime, CHClNO, are presented. The mol-ecular conformation results from twisting of the phenyl and 2-amino-5-chloro benzene rings attached to the oxime group, which subtend a dihedral angle of 80.53 (4)°.

En-DeNet Based Segmentation and Gradational Modular Network Classification for Liver Cancer Diagnosis.

Liver cancer ranks as the sixth most prevalent cancer among all cancers globally. Computed tomography (CT) scanning is a non-invasive analytic imaging sensory system that provides greater insight into human structures than traditional X-rays, which are typically used to make the diagnosis. Often, the final product of a CT scan is a three-dimensional image constructed from a series of interlaced two-dimensional slices.

An Electro-Oculogram (EOG) Sensor's Ability to Detect Driver Hypovigilance Using Machine Learning.

Driving safely is crucial to avoid death, injuries, or financial losses that can be sustained in an accident. Thus, a driver's physical state should be monitored to prevent accidents, rather than vehicle-based or behavioral measurements, and provide reliable information in this regard. Electrocardiography (ECG), electroencephalography (EEG), electrooculography (EOG), and surface electromyography (sEMG) signals are used to monitor a driver's physical state during a drive.

Detection of Liver Tumour Using Deep Learning Based Segmentation with Coot Extreme Learning Model.

Systems for medical analytics and decision making that make use of multimodal intelligence are of critical importance in the field of healthcare. Liver cancer is one of the most frequent types of cancer and early identification of it is crucial for effective therapy. Liver tumours share the same brightness and contrast characteristics as their surrounding tissues.

Multi-Process Remora Enhanced Hyperparameters of Convolutional Neural Network for Lung Cancer Prediction.

In recent years, lung cancer prediction is an essential topic for reducing the death rate of humans. In the literature section, some papers are reviewed that reduce the accuracy level during the prediction stage. Hence, in this paper, we develop a Multi-Process Remora Optimized Hyperparameters of Convolutional Neural Network (MPROH-CNN) aimed at lung cancer prediction.

APESTNet with Mask R-CNN for Liver Tumor Segmentation and Classification.

Diagnosis and treatment of hepatocellular carcinoma or metastases rely heavily on accurate segmentation and classification of liver tumours. However, due to the liver tumor's hazy borders and wide range of possible shapes, sizes, and positions, accurate and automatic tumour segmentation and classification remains a difficult challenge. With the advancement of computing, new models in artificial intelligence have evolved.

A Modified LBP Operator-Based Optimized Fuzzy Art Map Medical Image Retrieval System for Disease Diagnosis and Prediction.

Medical records generated in hospitals are treasures for academic research and future references. Medical Image Retrieval (MIR) Systems contribute significantly to locating the relevant records required for a particular diagnosis, analysis, and treatment. An efficient classifier and effective indexing technique are required for the storage and retrieval of medical images.

Early-Stage Alzheimer's Disease Prediction Using Machine Learning Models.

Alzheimer's disease (AD) is the leading cause of dementia in older adults. There is currently a lot of interest in applying machine learning to find out metabolic diseases like Alzheimer's and Diabetes that affect a large population of people around the world. Their incidence rates are increasing at an alarming rate every year.

A Recommendation System Based on AI for Storing Block Data in the Electronic Health Repository.

The proliferation of wearable sensors that record physiological signals has resulted in an exponential growth of data on digital health. To select the appropriate repository for the increasing amount of collected data, intelligent procedures are becoming increasingly necessary. However, allocating storage space is a nuanced process.

Optimization of aqueous-assisted extraction of polysaccharides from pumpkin ( Duch) and their biological activities.

The pumpkin pulp contains a greater composition of edible polysaccharides and has reported with excellent biological applications. This research pertains to optimize the extraction of polysaccharides from the fleshy portion of the pumpkin using aqueous assisted extraction (AAE). The result showed that the optimal extraction condition of pumpkin polysaccharide was as follows: extraction temperature at 55 °C, pH 4.

Antitumor activity of L. against Ehrlich ascites carcinoma and HeLa and A549 cell lines .

Aim Of The Study: The aim of the present study was to explore the antitumor activity of the ethanolic extract of Albizia lebbeck L. pods against Ehrlich ascites carcinoma (EAC) in Swiss albino mice and its cytotoxic effect against HeLa and A549 cell lines in vitro.

Materials And Methods: Antitumor activity of ethanolic extract of A.

The second and third waves in India: when will the pandemic be culminated?

An unprecedented upsurge of COVID-19-positive cases and deaths is currently being witnessed across India. According to WHO, India reported an average of 3.9 lakhs of new cases during the first week of May 2021 which equals 47% of new cases reported globally and 276 daily cases per million population.

Green synthesis of ZnO nanoparticles for antimicrobial and vegetative growth applications: A novel approach for advancing efficient high quality health care to human wellbeing.

The present work aims to synthesize zinc oxide (ZnO) nanoparticles via green approaches using leaf extract of . UV-vis and FT-IR tests confirmed the existence of biomolecules, active materials, and metal oxides. The X-ray diffraction structural study exposes the ZnO nanoparticles formation with hexagonal phase structures.

Two 3-amino-1-pyrazol-2-ium salts containing organic anions, and an ortho-rhom-bic polymorph of 3-amino-1-pyrazol-2-ium nitrate.

Co-crystallization from methanol of 3-amino-1-pyrazole with 3,5-di-nitro-benzoic acid produces 3-amino-1-pyrazol-2-ium 3,5-di-nitro-benzoate monohydrate, CHN ·CHNO ·HO, (I), while similar co-crystallization of this pyrazole with an equimolar qu-antity of fumaric acid produces bis-(3-amino-1-pyrazol-2-ium) fumarate-fumaric acid (1/1), 2CHN ·CHO ·CHO, (II). The reaction of 3-amino-1-pyrazole with a dilute solution of nitric acid in methanol yields a second, ortho-rhom-bic polymorph of 3-amino-1-pyrazol-2-ium nitrate, CHN ·NO , (III). In each of (I)-(III), the bond distances in the cation provide evidence for extensive delocalization of the positive charge.

Six 1-halobenzoyl-4-(2-meth-oxy-phen-yl)piperazines having ' values of one, two or four; disorder, pseudosymmetry, twinning and supra-molecular assembly in one, two or three dimensions.

Six 1-halobenzoyl-4-(2-meth-oxy-phen-yl)piperazines have been prepared using carbodi-imide-mediated coupling reactions between halo-benzoic acids and -(2-meth-oxy-phen-yl)piperazine. The mol-ecules of 1-(4-fluoro-benzo-yl)-4-(2-meth-oxy-phen-yl)piperazine, CHFNO (I), are linked into a chain of rings by a combination of C-H⋯O and C-H⋯π(arene) hydrogen bonds. 1-(4-Chloro-benzo-yl)-4-(2-meth-oxy-phen-yl)piperazine, CHClNO (II), crystallizes in the space group 2 with ' = 4 and it exhibits both pseudosymmetry and inversion twinning: a combination of six C-H⋯O and two C-H⋯π(arene) hydrogen bonds generate a three-dimensional assembly.

1-(3,5-Di-nitro-benzo-yl)-4-(2-meth-oxy-phen-yl)piper-azine.

In the title compound, CHNO, the piperazine ring adopts a chair conformation, the amidic N atom is planar (sum of angles = 360°) and the non-amidic N atom is pyramidal (343°). There are no hydrogen bonds of any kind in the crystal, but the mol-ecules are linked by two independent π(nitro-benzene)⋯π(meth-oxy-benzene) stacking inter-actions to form π-stacked sheets with inter-centroid separations of 3.8444 (12) and 3.

Fifteen 4-(2-meth-oxy-phen-yl)piperazin-1-ium salts containing organic anions: supra-molecular assembly in zero, one, two and three dimensions.

Fifteen 4-(2-meth-oxy-phen-yl)piperazin-1-ium salts containing organic anions have been prepared and structurally characterized. In the isostructural 4-chloro-benzoate and 4-bromo-benzoate salts, CHNO·CHClO (I) and CHNO·CHBrO (II), and the 4-iodo-benzoate salt CHNO·CHIO (III), the ions are linked by N-H⋯O hydrogen bonds, forming centrosymmetric (12) four-ion aggregates; a similar aggregate is formed in the 2-chloro-benzoate salt (V), isomeric with (I). In the 2-fluoro-benzoate salt CHNO·CHFO (IV), and the isomorphous pair of salts, the 2-bromo-benzoate (VI), isomeric with (II) and 2-iodo-benzoate (VII), isomeric with (III), N-H⋯O and C-H⋯π(arene) interactions link the components into three-dimensional arrays.

A very short O-H⋯O hydrogen bond in the structure of clozapinium hydrogen bis-(3,5-di-nitro-benzoate).

In the title salt {systematic name: 4-[6-chloro-2,9-di-aza-tri-cyclo-[9.4.0.

The crystal structures of salts of -(4-fluoro-phen-yl)piperazine with four aromatic carb-oxy-lic acids and with picric acid.

The structures are reported for five salts formed by reactions between -(4-fluoro-phen-yl)piperazine and aromatic acids. In 4-(4-fluoro-phen-yl)piperazin-1-ium 2-fluoro-benzoate monohydrate, CHFN ·CHFO ·HO, (I), the components are linked by a combination of N-H⋯O and O-H⋯O hydrogen bonds to form a chain of alternating (12) and (16) rings. The ionic components of 4-(4-fluoro-phen-yl)piperazin-1-ium 2-bromo-benzoate 0.

Low-cost electrochemical detection of l-tyrosine using an rGO-Cu modified pencil graphite electrode and its surface orientation on a Ag electrode using an spectroelectrochemical method.

A low cost reduced graphene oxide-copper hybrid nano thin-film modified Pencil Graphite Electrode has been employed to detect the l-tyrosine enantiomer. The free-standing rGO-Cu hybrid nano-thin film was prepared by a simple one-step liquid-liquid interface method. Electrochemical Cyclic Voltammetry, Differential Pulse Voltammetry, pH-dependent and scan rate dependent studies on bare PGE, Cu, rGO, and rGO-Cu for l-tyrosine have been explained in detail.