Preparation and applications of nanoparticles from lignocellulosic biomass: A review.

The growing demand for nanomaterials has driven interest in sustainable alternatives such as Lignocellulosic biomass (LCB). As a renewable and ecofriendly resource, LCB offers great potential for producing nanomaterials through its nanostructured components (cellulose, hemicellulose, and lignin). These components can be converted into nanocellulose, nano hemicellulose, and lignin-derived nanoparticles with wide ranging applications.

2D Ionic Conducting Copper(I) MOF in Chemiresistive Sensing of NO.

Conducting two-dimensional metal-organic frameworks (2D-MOF) has emerged as a promising class of material in the sensing technologies, but often lags behind traditional metal oxides in terms of sensitivity and repeatability. Herein, a conducting Copper(I) ionic 2D-MOF (iMOF-IITI) constructed with 4-(1H-1,2,4-triazol-1-yl)pyridine is reported for the chemiresistive sensing of NO. The sensor demonstrates an excellent response of 4456% to 100 ppm NO₂, with rapid response and recovery times of 17.

Transforming surgical planning and procedures through the synergistic use of additive manufacturing, advanced materials and artificial intelligence: challenges and opportunities.

Additive manufacturing (AM) is a powerful approach in healthcare to augment the functionalities of patient-specific medical products and surgical tools. One such area of the healthcare industry is surgical planning and procedures, where the benefits of AM can revolutionize the industry. AM technologies, commonly known as three-dimensional (3D) printing, can change the conventional surgical methodology from the "open-detect-operate-close" mode to the "detect-open-operate-close" mode.

Vectorcardiogram signal compression: A hybrid approach using discrete wavelet transform and singular vector sparse reconstruction.

Aims: Vectorcardiography (VCG) records the heart's electrical activity in three dimensions: frontal, transverse, and sagittal for accurate cardiac diagnosis and monitoring. Continuous cardiac monitoring generates vast VCG data daily. The large amount of VCG data poses challenges for storage, dataset management, and transmission, particularly in remote areas with limited resources.

A 2D electrocardiogram signal compression algorithm using 1D discrete wavelet transform.

Electrocardiogram (ECG) signals are frequently acquired nowadays to detect various heart diseases. Nowadays, IoT-enabled wearable devices are in demand for distant or telemedicine-based healthcare applications. However, the acquisition process of ECG signals generates a huge amount of data, which negatively impacts the storage and transmission efficiency of these devices.

Chitosan-Hydroxyapatite Composite Membranes Reinforced with Functionalized Multiwalled Carbon Nanotubes for Advancing Guided Bone Regeneration.

Dental implant failure, often due to bone resorption and poor osteointegration, can be mitigated using barrier membranes to prevent non-osteogenic tissue interference during bone healing. In addition to the existing barrier membranes, guided bone regeneration has opened new avenues for membrane design, allowing them to actively participate in bone regeneration rather than merely serving as barriers. In this context, the aim of this study was to fabricate a composite membrane that can mimic the native extracellular matrix of the native tissue.

A new VCG signal compression technique based on discrete Karhunen-Loeve expansion and tunable quality wavelet transform.

This paper presents a novel two-stage compression technique for vectorcardiogram (VCG) signals, combining Discrete Karhunen-Loeve (K-L) Expansion and Tunable Q-Factor Wavelet Transform (TQWT). In the first stage, VCG signals undergo discrete K-L expansion and a secondary rotation to reduce variance caused by physiological factors, such as respiration and varying heart orientations among patients. This process effectively simplifies the dataset by leveraging eigenvector-based transformation, while standardizing the data across different VCG records.

Engineering considerations in the design of tissue specific bioink for 3D bioprinting applications.

Over eight million surgical procedures are conducted annually in the United Stats to address organ failure or tissue losses. In response to this pressing need, recent medical advancements have significantly improved patient outcomes, primarily through innovative reconstructive surgeries utilizing tissue grafting techniques. Despite tremendous efforts, repairing damaged tissues remains a major clinical challenge for bioengineers and clinicians.

Hydrogel Loaded with Extracellular Vesicles: An Emerging Strategy for Wound Healing.

An increasing number of novel biomaterials have been applied in wound healing therapy. Creating beneficial environments and containing various bioactive molecules, hydrogel- and extracellular vesicle (EV)-based therapies have respectively emerged as effective approaches for wound healing. Moreover, the synergistic combination of these two components demonstrates more favorable outcomes in both chronic and acute wound healing.

Design and development of 3D printed shape memory triphasic polymer-ceramic bioactive scaffolds for bone tissue engineering.

Scaffolds for bone tissue engineering require considerable mechanical strength to repair damaged bone defects. In this study, we designed and developed mechanically competent composite shape memory triphasic bone scaffolds using fused filament fabrication (FFF) three dimensional (3D) printing. Wollastonite particles (WP) were incorporated into the poly lactic acid (PLA)/polycaprolactone (PCL) matrix as a reinforcing agent (up to 40 wt%) to harness osteoconductive and load-bearing properties from the 3D printed scaffolds.

Application of exosomes in tumor immunity: recent progresses.

Exosomes are small extracellular vesicles secreted by cells, ranging in size from 30 to 150 nm. They contain proteins, nucleic acids, lipids, and other bioactive molecules, which play a crucial role in intercellular communication and material transfer. In tumor immunity, exosomes present various functions while the following two are of great importance: regulating the immune response and serving as delivery carriers.

Patient-specific mechanical analysis of PCL periodontal membrane: Modeling and simulation.

This research fills a knowledge gap in bone tissue engineering by examining the mechanical characteristics of scaffolds at bone-tissue interfaces utilizing a cutting-edge technique involving the creation of 3D scaffolds from Polycaprolactone (PCL). The work employs Finite element analysis to measure the scaffolds' maximum principal and Von Mises stresses and strains. CT scans of the Maxilla and Mandible were used to apply load conditions to 3D models of the upper central incisor.

Machine learning based multipurpose medical image watermarking.

Digital data security has become an exigent area of research due to a huge amount of data availability at present time. Some of the fields like medical imaging and medical data sharing over communication platforms require high security against counterfeit access, manipulation and other processing operations. It is essential because the changed/manipulated data may lead to erroneous judgment by medical experts and can negatively influence the human's heath.

An effective ECG signal compression algorithm with self controlled reconstruction quality.

Electrocardiogram (ECG) signals are frequently used in the continuous monitoring of heart patients. These recordings generate huge data, which is difficult to store or transmit in telehealth applications. In the above context, this work proposes an efficient novel compression algorithm by integrating the tunable-Q wavelet transform (TQWT) with coronavirus herd immunity optimizer (CHIO).

First-principles investigations for the electronic and transport properties of zigzag SiC nanoribbons with Fluorine passivation/adsorption.

Nanoribbons with different edge functionalization display interesting electronic properties for various device applications. It requires the necessity of exploring the novel passivating elements commensurate to various technological applications. In this direction, here we have compared the effect of H and F-passivation on the edges of zigzag SiC nanoribbons (ZSiCNR) using density functional theory based calculations.

Comparative ergonomic assessment of manual harvesting of un-lodged and lodged paddy crops post-tropical cyclone in India.

Objective: In recent times, increased rainfall from tropical cyclones due to climate change affects the agricultural sector, mainly the paddy fields. High windspeed with excessive rain causes lodging of paddy crops, which is difficult to harvest. Mechanized harvesting systems are ineffective in this situation due to waterlogging in the fields.

Deep learning models-based CT-scan image classification for automated screening of COVID-19.

COVID-19 is the most transmissible disease, caused by the SARS-CoV-2 virus that severely infects the lungs and the upper respiratory tract of the human body. This virus badly affected the lives and wellness of millions of people worldwide and spread widely. Early diagnosis, timely treatment, and proper confinement of the infected patients are some possible ways to control the spreading of coronavirus.

A hybrid salp swarm algorithm based on TLBO for reliability redundancy allocation problems.

A novel optimization algorithm called hybrid salp swarm algorithm with teaching-learning based optimization (HSSATLBO) is proposed in this paper to solve reliability redundancy allocation problems (RRAP) with nonlinear resource constraints. Salp swarm algorithm (SSA) is one of the newest meta-heuristic algorithms which mimic the swarming behaviour of salps. It is an efficient swarm optimization technique that has been used to solve various kinds of complex optimization problems.

Is the Corpus Ready for Machine Translation? A Case Study with Python to Pseudo-Code Corpus.

The availability of data is the driving force behind most of the state-of-the-art techniques for machine translation tasks. Understandably, this availability of data motivates researchers to propose new techniques and claim about the superiority of their techniques over the existing ones by using suitable evaluation measures. However, the performance of underlying learning algorithms can be greatly influenced by the correctness and the consistency of the corpus.

Engineering biomaterials to 3D-print scaffolds for bone regeneration: practical and theoretical consideration.

There are more than 2 million bone grafting procedures performed annually in the US alone. Despite significant efforts, the repair of large segmental bone defects is a substantial clinical challenge which requires bone substitute materials or a bone graft. The available biomaterials lack the adequate mechanical strength to withstand the static and dynamic loads while maintaining sufficient porosity to facilitate cell in-growth and vascularization during bone tissue regeneration.

Multipurpose medical image watermarking for effective security solutions.

Digital medical images contain important information regarding patient's health and very useful for diagnosis. Even a small change in medical images (especially in the region of interest (ROI)) can mislead the doctors/practitioners for deciding further treatment. Therefore, the protection of the images against intentional/unintentional tampering, forgery, filtering, compression and other common signal processing attacks are mandatory.

PLLA-gelatin composite fiber membranes incorporated with functionalized CeNPs as a sustainable wound dressing substitute promoting skin regeneration and scar remodeling.

The need for a wound dressing material that can accelerate wound healing is increasing and will last for a long time. In this study, cerium oxide nanoparticle (CeNP) incorporated poly-L-lactic acid (PLLA)-gelatin composite fiber membranes were fabricated using established electrospinning techniques for use as a low-cost sustainable wound dressing material. The obtained membranes were characterized for their morphology, and physical, mechanical and biological properties.