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This paper presents metal-fused filament fabrication (MF 3 ) for manufacturing Ti-6Al-4V parts by 3D printing of green parts followed by debinding and sintering to obtain mechanical properties comparable to metal injection-molded (MIM) specimens. The current work discusses critical material and process aspects of the MF 3 process that currently limits it from effective defect-free translation from 3D printed to sintering. We show successfully produced bound filament with 59 vol% of Ti-6Al-4V powder mixed with a polymeric binder system to print parts using MF 3 . The feedstock and filaments showed uniform powder dispersion and acceptable flowability necessary for consistent extrusion during MF 3 printing, leading to defect-free parts. The green part density was 98.5 ± 0.6% relative to the density of the 59 vol% Ti-6Al-4V feedstock that resulted in successful debinding without slumping, no warpage, and layer delamination of the MF 3 parts. A two-step debinding combining solvent and thermal extraction of polymer binder followed by sintering in partial vacuum resulted in almost isotropic shrinkage of ~ 14% in all directions. The sintered density of these parts was 94.2 ± 0.1%. The mechanical properties of the present MF 3 processed Ti-6Al-4V alloy parts represent UTS of 875 ± 15 MPa and elongation of 17 ± 3%, which being 1.7% higher in UTS and 17.5% higher in elongation when compared to literature data for metal injection-molded parts.

Polymers have been widely used for the development of drug delivery systems accommodating the regulated release of therapeutic agents in consistent doses over a long period, cyclic dosing, and the adjustable release of both hydrophobic and hydrophilic drugs. Nowadays, polymer blends are increasingly employed in drug development as they generate more promising results when compared to those of homopolymers. This review article describes the recent research efforts focusing on the utilization of chitosan blends with other polymers in an attempt to enhance the properties of chitosan. Furthermore, the various applications of chitosan blends in drug delivery are thoroughly discussed herein. The literature from the past ten years was collected using various search engines such as ScienceDirect, J-Gate, Google Scholar, PubMed, and research data were compiled according to the various novel carrier systems. Nanocarriers made from chitosan and chitosan derivatives have a positive surface charge, which allows for control of the rate, duration, and location of drug release in the body, and can increase the safety and efficacy of the delivery system. Recently developed nanocarriers using chitosan blends have been shown to be cost-effective, more efficacious, and prolonged release carriers that can be incorporated into suitable dosage forms.

In this work, we have designed and simulated a graphene field effect transistor (GFET) with the purpose of developing a sensitive biosensor for methanethiol, a biomarker for bacterial infections. The surface of a graphene layer is functionalized by manipulation of its surface structure and is used as the channel of the GFET. Two methods, doping the crystal structure of graphene and decorating the surface by transition metals (TMs), are utilized to change the electrical properties of the graphene layers to make them suitable as a channel of the GFET. The techniques also change the surface chemistry of the graphene, enhancing its adsorption characteristics and making binding between graphene and biomarker possible. All the physical parameters are calculated for various variants of graphene in the absence and presence of the biomarker using counterpoise energy-corrected density functional theory (DFT). The device was modelled using COMSOL Multiphysics. Our studies show that the sensitivity of the device is affected by structural parameters of the device, the electrical properties of the graphene, and with adsorption of the biomarker. It was found that the devices made of graphene layers decorated with TM show higher sensitivities toward detecting the biomarker compared with those made by doped graphene layers.

Tuberculosis (TB), one of the deadliest contagious diseases, is a major concern worldwide. Long-term treatment, a high pill burden, limited compliance, and strict administration schedules are all variables that contribute to the development of MDR and XDR tuberculosis patients. The rise of multidrug-resistant strains and a scarcity of anti-TB medications pose a threat to TB control in the future. As a result, a strong and effective system is required to overcome technological limitations and improve the efficacy of therapeutic medications, which is still a huge problem for pharmacological technology. Nanotechnology offers an interesting opportunity for accurate identification of mycobacterial strains and improved medication treatment possibilities for tuberculosis. Nano medicine in tuberculosis is an emerging research field that provides the possibility of efficient medication delivery using nanoparticles and a decrease in drug dosages and adverse effects to boost patient compliance with therapy and recovery. Due to their fascinating characteristics, this strategy is useful in overcoming the abnormalities associated with traditional therapy and leads to some optimization of the therapeutic impact. It also decreases the dosing frequency and eliminates the problem of low compliance. To develop modern diagnosis techniques, upgraded treatment, and possible prevention of tuberculosis, the nanoparticle-based tests have demonstrated considerable advances. The literature search was conducted using Scopus, PubMed, Google Scholar, and Elsevier databases only. This article examines the possibility of employing nanotechnology for TB diagnosis, nanotechnology-based medicine delivery systems, and prevention for the successful elimination of TB illnesses.

Timely diagnosis is the most important parameter for thedetection and hindrance with tissues (infected). Many conventional techniques are used for the determinationof the chronic disease like MRI, X-ray, mammography, ultrasound and other diagnosing methods. Nevertheless, they have some limitations. We epitomizebetween 4 and 34 % of all carcinogenic tissues are lacking because of weak,in adequate malignant/benign cancer tissue on the contrary. So,an effective alternative method is the validconcern in the field of medical right now. Imaging with the help of patch antenna to detect chronic disease like breast cancer, oxidative stress syndrome etc. it has been proved to be a suitable potential method, and there are many works in this area. All materials have different conductivity and permittivity. With the help of these antennas, a 3D tissue structure which has different conductivity and permittivity is modelled in high-frequency structure simulator (HFSS)through Finite Element Method (FEM) which resolves electromagnetic field values and a microstrip patch antenna operation process. As compared with conventional antennas, micro strip patch antennas have enhanced benefits and better prospects. An integrated Antenna plays an important or crucial role for supporting many applications in biomedical, commercial and in military fields. The Antenna designed for these applications should be wideband, not sensitive to the human body. In this present review,the precise application of the Antenna in different biomedical aspects is considered. Furthermore, the author has also discussed the analytical results using simulation models and experimental results for some of the significantdisease.

Density functional theory-based first-principles investigation is performed on pristine and mono vacancy induced GaAs nanoribbons to detect the presence of three volatile organic compounds (VOCs), aniline, isoprene and o-toluidine, which will aid in sensing lung cancer. The study has shown that pristine nanoribbon senses all three analytes. For the pristine structure, we observe decent adsorbing parameters and the bandgap widens after the adsorption of analytes. However, the introduction of the carrier traps induced by defect causes deep energy wells that vary the electrical properties as indicated in the bandgap analysis of GaAs, wherein adsorption of aniline and o-toluidine reduces the bandgap to 0 eV, making the structure highly conductive in nature. The adsorption energies of defect-induced nanoribbon are more as compared with the pristine counterpart. Nonetheless, the introduction of defects has improved the sensitivity further. Graphical abstract

Video-assisted thoracoscopic surgery (VATS) is considered the standard procedure for surgical resection in non-small-cell lung cancer (NSCLC). However, there is still lingering speculation on its adequacy of lymph node (LN) dissection or sampling and the long-term survival benefits when compared to open thoracotomy. Given the above, we conducted a systematic review comparing VATS and thoracotomy in terms of their oncological effectiveness in resection. We explored major research literature databases and search engines such as MEDLINE, PubMed, PubMed Central, Google Scholar, and ResearchGate to find pertinent articles. After the meticulous screening, quality check, and applying relevant filters according to our eligibility criteria, we identified 16 studies relevant to our research question, out of which one was a randomized controlled trial, one meta-analysis, and 14 were observational studies. The study comprised 44,673 patients with NSCLC, out of whom 15,093 patients were operated by VATS and the remaining 29,580 patients by thoracotomy. The results indicate that VATS is equivalent to thoracotomy in total LNs (N1 + N2) and LN stations dissected. However, a thoracotomy may achieve slightly better mediastinal lymph node dissection (N2) in terms of assessing a greater number of mediastinal lymph nodes and nodal stations. This may be attributed to a better visual field during mediastinal nodal clearance by an open approach. Also, nodal upstaging was consistently more common with an open approach. In terms of long-term outcomes, both overall survival and disease-free survival rates were similar between the two groups, with VATS offering a slightly better survival benefit. Irrespective of the increased rates of nodal upstaging by an open approach, we conclude that VATS should be considered a highly efficient alternative to thoracotomy in both early and locally advanced NSCLC.

Current methods of glioma pathology assessment using tumor score metric rely on the extraction of a biopsy sample for evaluation by a pathologist. This method is limited by the fact that tumor score can vary within a glioma and that it only gives information regarding glioma pathology at one time point. An approach in which allows for the assessment of glioma pathology at various timepoints and in the entire brain is thus desirable.We explored such a method of glioma pathology prediction with machine learning, using both traditional and deep learning approaches. Using a dataset of patient information (MRI images and corresponding tumor scores, we performed several experiments with traditional machine learning models to explore the potential benefits of a deep learning based approach. We then developed, trained, and tuned a deep learning model that predicted tumor score from MRI data, and experimented with various forms of transfer learning to evaluate the impact of loading weights from different autoencoders.We determined the results of our traditional machine learning experiments showed a potential for a deep learning model’s ability to predict tumor score from MRI data. When evaluating our deep learning model, we found that domain shift played a significant role in affecting our results in terms of testing accuracy, and we explored several methods to alleviate this issue. That said, our deep learning approach did outperform our traditional machine learning models, indicating the effectiveness of this approach.

Metal fused filament fabrication (MF 3 ) combines fused filament fabrication and sintering processes to fabricate complex metal components. In MF 3 , powder-polymer mixtures are printed to produce green parts that are subsequently debound and sintered. In the design for MF 3 (DfMF 3 ), it is important to understand how material properties of the filament affect processability, part quality, and ensuing properties. However, the materials property database of powder-polymer materials to perform DfMF 3 simulations is very limited, and experimental measurements can be expensive and time-consuming. This work investigates models that can predict the powder-polymer material properties that are required as input parameters for simulating the MF 3 using the Digimat-AM ® process design platform for fused filament fabrication. Ti-6Al-4V alloy (56–60 vol.%) and a multicomponent polymer binder were used to predict properties such as density, specific heat, thermal conductivity, Young’s modulus, and viscosity. The estimated material properties were used to conduct DfMF 3 simulations to understand material-processing-geometry interactions.

Scutellaria baicalensis (Huang-Qin), prominently avowed as Chinese Skullcap, is a traditional herb that has been historically diversified and used culturally in Chinese medicine. The review focused on a rationalized summary of the morphological description, bioactive compounds, drug-herb interactions, and pharmacological activities of Scutellaria baicalensis, furthermore on its therapeutic requisitions. A wide-ranging search was conducted using PubMed, Scopus, Google Scholar, and Web of Science to collect prior research data and analyzed. Significant active constituents found in the plant’s root include flavonoids and flavonoid glycosides, such as wogonin, baicalein, baicalin, oroxylin A, scutellarein, and norwogonin. These compounds have shown a variety of pharmacological activities, including effects against inflammation, oxidative stress, cancer, neurological, and hepatological diseases. Chinese Skullcap represents a persuasive boulevard for potential pharmacotherapeutic formulation advancement, emphasizing the call for scientific exploration and clinical trials. A key future perspective for Scutellaria baicalensis is genome sequencing to analyze gene expression patterns and variations, coupled with transcriptome sequencing to elucidate the biosynthetic pathways of its flavonoids. Gene Ontology (GO) and KEGG pathway enrichment analyses, combined with protein-protein interaction (PPI) networks, help to chart the intricate relationships between bioactive compounds, their molecular targets, and biochemical pathways, which can be further investigated using bioinformatics approaches. A series of advanced experiments using in vitro models and animal models are conducted to verify the predicted mechanisms and therapeutic effects. [Display omitted]