Optically printed plasmonic fiber tip-assisted SERS-based chemical sensing and single biological cell studies.

BACKGROUND: Precise localized printing of plasmonic nanoparticles at desired locations can find a plethora of applications in diverse areas, including nanophotonics, nanomedicine, and microelectronics. The focused laser beam-assisted optical printing technique has illustrated its potential for the localized printing of differently shaped plasmonic particles. However, the technique is either time-consuming or often requires focused optical radiation, limiting its practical applications. While the optothermal printing technique has recently emerged as a promising technique for the direct and rapid printing of plasmonic nanoparticles onto transparent substrates at lower laser intensities, its potential to print the plasmonic nanoparticles to the core of the optical fiber platforms and utilize it for biological cell trapping as well as an analytical platform remains unexplored. RESULTS: Herein, we demonstrate the thermal-convection-assisted printing of the Ag plasmonic nanoparticles from the plasmonic colloidal solution onto the core of single-mode optical fiber and its multi-functional applications. The direct printing of plasmonic structure on the fiber core via the thermal-convection mechanism is devoid of the requirement of any additional chemical ligand to the fiber core. Further, we demonstrated the potential of the developed plasmonic fiber probe as a multifunctional surface-enhanced Raman spectroscopic (SERS) platform for sensing, chemical reaction monitoring, and single-cell studies. The developed SERS fiber probe is found to detect crystal violet in an aqueous solution as low as 100 pM, with a plasmonic enhancement of 107. Additionally, the capability of the fiber-tip platform to monitor the surface plasmon-driven chemical reaction of 4-nitrothiophenol (4NTP) dimerizing into p, p'-dimercaptoazobenzene (DMAB) is demonstrated. Further, the versatility of the fiber probe as an effective platform for opto-thermophoretic trapping of single biological cells such as yeast, along with its Raman spectroscopic studies, is also shown here. SIGNIFICANCE: In this study, we illustrate for the first time the optothermal direct printing of plasmonic nanoparticles onto the core of a single-mode fiber. Further, the study demonstrates that such plasmonic nanoparticle printed fiber tip can act as a multi-functional analytical platform for optothermally trap biological particles as well as monitoring plasmon-driven chemical reactions. In addition, the plasmonic fiber tip can be used as a cost-effective SERS analytical platform and is thus expected to find applications in diverse areas.

Bioactive constituents from Tinospora cordifolia (willd.): Isolation, synthesis and their immunomodulatory activity.

Traditional medicinal plants have been used for centuries for their immunomodulatory properties and therapeutic potentials. The present study aims to investigate the immunomodulatory constituents from traditional medicinal plant, Tinospora cordifolia (willd.). Our study resulted in the isolation of new compound, 27-hydroxy octacosyl ferulate (1) along with eleven known compounds (2-12). The structures of the isolated compounds were characterized by combination of NMR (1D and 2D) and Mass spectroscopic methods. The hemisynthesis of compound 12 (ferulic acid) yielded (12a-12d and 12e-12 m) derivatives. Further, the isolated compounds and synthesized derivatives were assessed for their immunomodulatory potentials by evaluating their cytotoxicity and pro-inflammatory effects against macrophage cells (IL-6) and DC activation markers (CD 11c and 86). The biological results indicated that crude extract displayed potent immunomodulatory activity while isolated compounds and synthetic analogues showed moderate activity. Among the tested compounds, new compound (1), quercetin (10) and derivatives 12b, 12c found to be non-cytotoxic and displayed immunomodulatory potentials. Therefore, these compounds can be studied for autoimmunity and other immune suppressing conditions.

Utilizing Carbonaceous Materials Derived from [BMIM][TCM] Ionic Liquid Precursor: Dual Role as Catalysts for Oxygen Reduction Reaction and Adsorbents for Aromatics and CO2.

This work presents the synthesis of N-doped nanoporous carbon materials using the Ionic Liquid (IL) 1-butyl-3-methylimidazolium tricyanomethanide [BMIM][TCM] as a fluidic carbon precursor, employing two carbonization pathways: templated precursor and pyrolysis/activation. Operando monitoring of mass loss during pyrolytic and activation treatments provides insights into chemical processes, including IL decomposition, polycondensation reactions and pore formation. Comparatively low mass reduction rates were observed at all stages. Heat treatments indicated stable pore size and increasing volume/surface area over time. The resulting N-doped carbon structures were evaluated as electrocatalysts for the oxygen reduction reaction (ORR) and adsorbents for gases and organic vapors. Materials from the templated precursor pathway exhibited high electrocatalytic performance in ORR, analyzed using Rotating Ring-Disk electrode (RRDE). Enhanced adsorption of m-xylene was attributed to wide micropores, while satisfactory CO2 adsorption efficiency was linked to specific morphological features and a relatively high content of N-sites within the C-networks. This research contributes valuable insights into the synthesis and applications of N-doped nanoporous carbon materials, highlighting their potential in electrocatalysis and adsorption processes.

IoT and ML approach for ornamental fish behaviour analysis.

Ornamental fish keeping is the second most preferred hobby in the world and it provides a great opportunity for entrepreneurship development and income generation. Controlling the environment in ornamental fish farm is a considerable challenge because it is affected by a variety of parameters like water temperature, dissolved oxygen, pH, and disease occurrences. One particular interesting ornamental fish species is goldfish (Carassius auratus). Machine learning (ML) and deep learning technique have significant potential in analysing voluminous data collected from fish farm. Through this technique, the fish farmers can get insight on feeding behaviour, fish growth patterns, predict diseases/stress, and environmental factors affecting fish health. The aim of the study is to analyze the behavioural changes in goldfish due to alterations in environmental parameters (water temperature and dissolved oxygen). Decision tree, Naïve Bayes classifier, K-nearest neighbour (KNN), and linear discriminant analysis (LDA) were used to analyse the behavioural change data. To compare the performance between all four classifiers, cross validation and confusion matrix used. The cross-validation error of LDA, Naïve Bayes classification, KNN and decision tree was 19.86, 28.08, 30.14 and 13.78 respectively. Decision tree was proved to be the most accurate and effective classifier. Different temperature and DO range were taken to predict fish behaviour. Some findings are, the behaviour of fish was rest between temperature 37.85 °C and 40.535 °C, erratic when temperature was greater than or equal to 40.535 °C, gasping when temperature was between 37.85 and 40.535 °C and when DO concentration was less than 6.58 mg/L. Blood parameter analysis has been done to validate the change in external behaviours with change in physiological parameters.

Unveiling a novel terpolymer-metal complex: A detailed exploration of synthesis, characterization, and its potential as an antimicrobial and antioxidant agent.

In an innovative approach to push the boundaries of antimicrobial and antioxidant strategies, we present the synthesis and characterization of a novel terpolymer derived from N-Phenyl-p-phenylenediamine and 2-aminopyrimidine with formaldehyde in the presence of dimethylformamide as a reaction medium through polycondensation technique. Leveraging this terpolymer as a ligand, we introduce an intriguing terpolymer-metal complex, created with Ni (II) metal ion. In our pursuit to validate the structure and properties of these substances, we performed meticulous characterizations using important spectral studies such as FTIR, electronic, and 1H NMR spectroscopy. This provided us with a unique fingerprint for the (N-Phenyl-p-phenylenediamine-2-aminopyrimidine-formaldehyde) terpolymeric ligand (PAF) and its metal complex. In addition, the molecular weights of PAF terpolymer were established using gel permeation chromatography. Upon investigation, PAF terpolymer and PAF-Ni complex exhibited impressive antimicrobial activity, tested by the disc-diffusion technique. Both demonstrated potency against a range of harmful bacterial and fungal strains, including Staphylococcus aureus, Escherichia coli, Candida albicans, and Aspergillus niger. In an extension to their biological applications, we evaluated the free radical scavenging activity of PAF terpolymer and PAF-Ni complex using the DPPH assay. The complex PAF-Ni showcased an enhanced scavenging activity 73.94% (IC50 = 17.58) compared to the ligand PAF 63.06% (IC50 = 27.61) at 100 µg/ml indicating its potential role in oxidative stress management.

A Clinicoepidemiological Study of Cutaneous and Systemic Comorbidities of Seborrheic Dermatitis in Adolescent and Adult Females.

Background Seborrheic dermatitis is the most common, chronic inflammatory skin condition which is confined to the scalp, nasolabial folds, and regions rich in sebaceous glands for which no definitive cause has been found. Although the disease is more common, the comorbidities associated with it have not been studied in detail. This study aims to assess the prevalence of seborrheic dermatitis and its associated cutaneous and systemic comorbidities in adolescent and adult patients. Methodology This cross-sectional study was performed among 451 adolescent and adult female patients who visited the Department of Dermatology, Venereology, and Leprosy of R. Laxminarayanappa Jalappa Hospital and Research Centre, Kolar. Patients having symptoms such as scaly patches, inflamed skin, and stubborn dandruff were diagnosed with seborrheic dermatitis and included in the study. A detailed history was collected for assessing other cutaneous disorders. Results Out of the 451 female participants, 87% belonged to the age group of 21-30 years, with 60.9% having cutaneous and 28.3% having systemic comorbidities. Acne (13.3%) and diabetes mellitus (13.1%) were the most common cutaneous and systemic associated comorbidities, respectively. Conclusions Comorbidities of seborrheic dermatitis were more commonly seen in adult female patients, Some of the common cutaneous comorbidities were acne, alopecia areata, and folliculitis. Systemic comorbidities included diabetes, obesity, and hypertension. However, all of these comorbidities were not statistically significant.

Synthesis of Mesoporous Carbon Adsorbents Using Biowaste Crude Glycerol as a Carbon Source via a Hard Template Method for Efficient CO2 Capture.

Biowaste utilization as a carbon source and its transformation into porous carbons have been of great interest to promote environmental remediation owing to biowaste's cost-effectiveness and useful physicochemical properties. In this work, crude glycerol (CG) residue from waste cooking oil transesterification was employed to fabricate mesoporous crude glycerol-based porous carbons (mCGPCs) using mesoporous silica (KIT-6) as a template. The obtained mCGPCs were characterized and compared to commercial activated carbon (AC) and CMK-8, a carbon material prepared using sucrose. The study aimed to evaluate the potential of mCGPC as a CO2 adsorbent and demonstrated its superior adsorption capacity compared to AC and comparable to CMK-8. The X-ray diffraction (XRD) and Raman results clearly depicted the structure of carbon nature with (002) and (100) planes and defect (D) and graphitic (G) bands, respectively. The specific surface area, pore volume, and pore diameter values confirmed the mesoporosity of mCGPC materials. The transmission electron microscopy (TEM) images also clearly revealed the porous nature with the ordered mesopore structure. The mCGPCs, CMK-8, and AC materials were used as CO2 adsorbents under optimized conditions. The mCGPC adsorption capacity (1.045 mmol/g) is superior to that of AC (0.689 mmol/g) and still comparable to that of CMK-8 (1.8 mmol/g). The thermodynamic analyses of the adsorption phenomena are also carried out. This work demonstrates the successful synthesis of a mesoporous carbon material using a biowaste (CG) and its application as a CO2 adsorbent.

A Comparative Study of Topical Procapil With Platelet-Rich Plasma Therapy Versus Topical Redensyl, Saw Palmetto, and Biotin With Platelet-Rich Plasma Therapy in the Treatment of Androgenetic Alopecia.

Background and aim Androgenetic alopecia (AGA) is a well-known hair loss disorder in both men and women affecting approximately 80% and 50% of the population, respectively. Various treatment options for AGA are available with varying efficacy. Combination therapy is a new dictum to combat AGA. Hence, this study aimed to compare the efficacy of commonly used topical therapies such as Procapil with platelet-rich plasma (PRP) and redensyl, saw palmetto (SP), and biotin (RSB) with PRP. Materials and methods This was a randomized controlled trial conducted on 54 male patients with AGA attending the outpatient department in a tertiary care hospital. Participants were randomly assigned into two equal groups (A and B). Group A participants were treated with Procapil with PRP, and group B participants were treated with redensyl, saw palmetto, and biotin with PRP at three weeks intervals for a total period of four sessions. Clinical improvement was assessed by serial hair photography by a third blinded observer and was recorded. Results A total of 54 individuals were included and were distributed into 27 each in group A and group B. AGA grading score was found significant between the groups with P < 0.05. Conclusion PRP with adjuvants redensyl, saw palmetto, and biotin can be a better alternative to the current therapies of PRP.

The Association of Depression, Loneliness, and Internet Addiction Levels in Male Bachelor of Medicine, Bachelor of Surgery (MBBS) Students With Androgenetic Alopecia Male Pattern Baldness in a Medical College in Kolar, India.

Introduction The genetically determined progressive process that causes a gradual conversion of terminal hair into vellus hair is known as androgenetic alopecia (AGA). AGA male pattern baldness is very common among male medical students whose self-image is severely deteriorated by AGA and this affects the quality of their professional career. Hence, the assessment of the association of depression, loneliness, and internet addiction levels of male Bachelor of Medicine, Bachelor of Surgery (MBBS) students with AGA male pattern baldness is essential to improving academic and professional performance. Aims and objectives The aim of this study is to evaluate the effects of AGA male pattern baldness and its severity on depression, loneliness, and internet addiction levels of male medical students in Kolar. Materials and methods This questionnaire-based cross-sectional study was conducted among 100 male MBBS students from Sri Devaraj Urs Medical College in Kolar with AGA male pattern baldness of varying grades. The participants were selected through simple random sampling from July 2022 to November 2022 with their prior informed consent. Students' AGA severity was evaluated clinically using the Norwood-Hamilton Classification. Their levels of depression, loneliness, and internet addiction were assessed using the standardized Beck Depression Inventory (BDI) scale, University of Carolina Los Angeles - Loneliness Scale (UCLA-LS), and Young Internet Addiction Test - Short Form (YIAT-SF), respectively, and one-way analysis of variance (ANOVA) was used to ascertain the statistical significance between the means of BDI, UCLA-LS, and YIAT-SF with the severity of AGA. Chi-square/Fisher Exact test was used to find the significance of study parameters on a categorical scale between two or more groups. Significance was assessed at a 5% level of significance. Results The mean of BDI (17.38, 25.11, 34.62, 41.25, 51.00), UCLA-LS (18.72,27.51,36.69,43.5,49.00), and YIAT-SF (20.51, 31.77, 50.31, 60.25, 72.00) scores in each of the AGA grades from Grade I to Grade V in our study showed that these scores increase along with an increase in the severity of AGA and are statistically significant. The frequency distribution of male medical students with varied degrees of AGA and the level of depression, loneliness, and internet addiction levels assessed by the BDI, UCLA-LS, and YIAT-SF showed a robust and statistically significant association between the severity of AGA and the severity of depression, loneliness, and internet addiction levels. Conclusion The current study showed that there is a statistically significant association of depression, loneliness, and internet addiction levels in male MBBS students with AGA male pattern baldness.

Synthesis of novel thiazoles bearing lupeol derivatives as potent anticancer and anti-inflammatory agents.

Lupeol is one of the most important metabolite in the class of terpenoids and possess excellent anticancer, anti-inflammatory, anti-diabetic activities etc. In the present study, the different thiazoles and oxazoles bearing lupeol derivatives were prepared to enhance their biological activity. Initially, the in vitro cytotoxic activity results showed that the synthesized lupeol derivatives (9a-9j and 10a-10e) showed significant activity against various cancer cells and the compounds 9h and 10b exhibited excellent activity against CAL27 cells. Further, these compounds 9h and 10b arrest the cell cycle at S phase and induce the late apoptosis in CAL27 cells by downregulating the BcL2 and vimentin expression and upregulating the Bax gene expression. Moreover, the lupeol derivatives showed dose-dependent anti-inflammatory activity by inhibiting the secretion of IL-6 cytokines in LPS-induced Raw 264.7 cells. Together, these results clearly indicated that the thiazoles and oxazoles bearing lupeol derivatives can used as chemotherapeutic drugs against cancer and inflammatory diseases.

Energy transfer between optically trapped single ligand-free upconversion nanoparticle and dye.

The quenching in luminescence emission of an optically trapped ligand-free hydrophilic NaYF4:Yb, Er upconversion nanoparticle (UCNP) as a function of rose Bengal dye molecule is investigated here. The removal of oleate capping of the as-prepared UCNPs was achieved via acid treatment and characterized via FTIR and Raman spectroscopic techniques. Further, the capping removed hydrophilic single UCNP is optically trapped and the emission studies were carried out as a function of excitation laser power. Compared to the studies using the bulk solution, the single UCNP luminescence spectrum exhibited additional spectral lines. The excitation laser power-dependent studies using the bulk solution yield a slope value between 1 and 2 for Blue, Green 1, Green 2, and Red emission and thus indicate that upconversion is a two-photon upconversion process. On the other hand, in the case of laser power-dependent studies on an optically trapped single-particle study, Blue and Green 1 yield a slope value of less than 1 whereas Green 2 and Red emission gave a slope value between 1 and 2. The energy transfer studies between an optically trapped ligand-free single UCNP and the rose Bengal dye show a concentration-dependent quenching in the emission of Green emissions and illustrate the potential of developing sensor platforms.

Synthesis and antiproliferative activities of novel piscidinol a derivatives as potential anticancer agents.

Piscidinol A (1), a major compound isolated from Aphanamixis polystachya, showed modest anticancer activity against cancer cell lines. Subsequently, a series of analogues were synthesised by modification of the key structural functionalities of this high yield natural product and assessed for their anticancer potential against various cancer cell lines. Among the tested derivatives, the compounds 6e and 6i are significantly reduced the cell viability at 5.38 and 5.02 µM against DU145 prostate cancer cells, respectively. Additionally, both the compounds arrested the cell cycle at S phase and induced the late apoptosis in DU145 cells. Together, the results demonstrated that the compounds 6e and 6i could be a promising lead for the development of anticancer agents against DU145 and well worth further investigation aiming to generate potential anticancer agents.

Synthesis and biological evaluation of 1,2,3-triazole hybrids of 4-methoxy ethyl cinnamate isolated from Hedychium spicatum (Sm) rhizomes: identification of antiproliferative lead actives against prostate cancer.

A series of 1, 2, 3- triazole hybrids (9a-9n) were synthesised from major phenolic constituent, 4-methoxy ethyl cinnamate (5) isolated from rhizomes of Hedychium spicatum (Sm), a traditional medicinal plant used in variety of disease conditions. All the synthesised analogues were tested for their in vitro antiproliferative potential against HCT 116 (colon cancer), A549 (lung cancer), DU-145 (prostate cancer), Hep G2 (hepatoma) and HEK-293 (normal) cell lines. Among the compounds tested, compounds 9i and 9k potently arrested proliferation of DU-145 (prostate cancer) cell line. Compound 9i displayed 20 times better antiproliferative potential than parent compound and almost identical inhibitory activity to that of the standard drug, doxorubicin. The flow cytometric analysis revealed that 9i arrested cells in G2/M phase of cell cycle and induced apoptosis. Overall, the hybrid derivative 9i was found to be a potential antiproliferative lead against prostate cancer.

Carbon dioxide adsorbents from flame-made diesel soot nanoparticles.

Carbon dioxide (CO2) is the top contributor to global warming. On the other, soot particles formed during fuel combustion and released into the atmosphere are harmful and also contribute to global warming. It would therefore be highly advantageous to capture soot and make use of it as a feedstock to synthesize carbon-based materials for applications such as carbon dioxide adsorption. In this work, flame-made diesel soot nanoparticles were used to produce a variety of activated carbons by combined oxidative treatment with hydrogen peroxide (H2O2) and potassium hydroxide (KOH), and their performance towards CO2 adsorption was evaluated. The effect of the chemical activation of soot with H2O2 for different reaction times and with KOH on the physicochemical properties of the activated carbons was investigated and compared to fresh soot. Interestingly, hollow aggregates of carbonaceous nanoparticles of a high interplanar distance, reduced polycyclic aromatic hydrocarbons (PAH) size, shorter PAH stacks, mesoporous structure, and a high content of oxygen functionalities along with other structural defects in PAHs were obtained in the synthesized activated carbons. Among the various analysis techniques employed, Raman spectroscopy indicated that the ID/IG ratio in soot decreased after simultaneous chemical treatment, though it did not indicate any enhancement in the graphitic character since the carbonyl and carboxylic containing PAHs and monovacancies (which cause defects in PAHs) also contribute to the increase in the intensity of the graphitic band. The activated carbons possessed promising CO2 adsorption capacities, adsorption kinetics and CO2/N2 selectivity. For example, one of the activated carbons, following H2O2 treatment for 9 h and a subsequent KOH activation, exhibited a CO2 adsorption capacity of 1.78 mmol/g at 1 bar and 25 °C, representing an increase of 161 % in capacity as compared to fresh soot. Hollow aggregates of carbonaceous nanoparticles consisting of shorter PAHs with a larger number of defects led to enhanced CO2 adsorption rate and CO2/N2 selectivity on activated carbons.

Nanotechnological synergy of mangiferin and curcumin in modulating PI3K/Akt/mTOR pathway: a novel front in ovarian cancer precision therapeutics.

Background: Ovarian cancer, colloquially termed the "silent killer" among gynecological malignancies, remains elusive due to its often-asymptomatic progression and diagnostic challenges. Central to its pathogenesis is the overactive PI3K/Akt/mTOR signaling pathway, responsible for various cellular functions, from proliferation to survival. Within this context, the phytochemical compounds mangiferin (derived from Mangifera indica) and curcumin (from Curcuma longa) stand out for their potential modulatory effects. However, their inherent bioavailability challenges necessitate innovative delivery systems to maximize therapeutic benefits. Objective: This study seeks to synergize the merits of nanotechnology with the therapeutic properties of mangiferin and curcumin, aiming to bolster their efficacy against ovarian cancer. Methods: Employing specific nanotechnological principles, we engineered exosomal and liposomal nano-carriers for mangiferin and curcumin, targeting the PI3K/Akt/mTOR pathway. Molecular docking techniques mapped the interactions of these phytochemicals with key proteins in the pathway, analyzing their binding efficiencies. Furthermore, molecular dynamics simulations, spanning 100 nanoseconds, verified these interactions, with additional computational methodologies further validating our findings. The rationale for the 100 nanoseconds time span lies in its sufficiency to observe meaningful protein-ligand interactions and conformational changes. Notably, liposomal technology provided an enhancement in drug delivery by protecting these compounds from degradation, allowing controlled release, and improving cellular uptake. Results: Our computational investigations demonstrated notable binding affinities of mangiferin and curcumin: PI3K at -11.20 kcal/mol, Akt at -15.16 kcal/mol, and mTOR at -10.24 kcal/mol. The adoption of exosome/liposome-mediated delivery significantly amplified the bioavailability and cellular uptake of these nano-formulated compounds, positioning them as potential stalwarts in ovarian cancer intervention. A brief explanation of exosome/liposome-mediated delivery involves the use of these vesicles to encapsulate and transport therapeutic agents directly to the target cells, enhancing drug delivery efficiency and minimizing side effects. Conclusion: Addressing ovarian cancer's intricacies, dominated by the erratic PI3K/Akt/mTOR signaling, mandates innovative therapeutic strategies. Our pioneering approach converges nanotechnological liposomal delivery with mangiferin and curcumin's natural efficacies. This confluence, validated by computational insights, heralds a paradigm shift in ovarian cancer treatment. As our findings underscore the collaborative potential of these phytochemicals, it beckons further exploration in translational studies and clinical applications, ensuring the best intersection of nature and technology for therapeutic advantage.

Nonvenomous Snakebite in Pediatric Age Group-Wolf under a Sheep's Coat.

Nonvenomous snakebite, far outnumbering venomous bites, is a neglected occupational hazard in the Indian subcontinent. We encountered four cases of traditionally nonvenomous snakebite in pediatric age group with symptoms of limb swelling proximal to the bite site. All cases were found to have extensive fibrinous exudate and fibrinoid necrosis of the deeper layer of fat, deep to the intact skin and superficial layer of fat, extending far from the wound toward the proximal limb in continuity. This obscured presentation of infection and extensive necrosis of only the deeper layer of fat warrants exploratory incisions proximally for thorough debridement, underlying the normal appearing skin.

Cold atmospheric plasma-induced oxidative stress and ensuing immunological response - a Neo-Vista in immunotherapy.

Plasma, the fourth state of matter could be artificially generated at room temperature under atmospheric pressure - termed as cold atmospheric plasma (CAP). The reactive oxygen and nitrogen radicals emanated during plasma discharge accord manifold applications in medicine and have proven clinical applications in cancer treatment, dentistry, and dermatology. Developments in the field termed "Plasma medicine" has inclined research toward its prospects in immunotherapy. Controlled generation of reactive oxygen and nitrogen radicals during plasma formation produces oxidative stress on tissue of concern, selectively and activates a number of cytological and molecular reactions, triggering immunological response. Plasma treatment induces immunogenic cell death (ICD) in tumor cells and elicits enhanced adaptive and systemic immune response with memory cells, conferring better defense to cancer. HIV inactivation, reduced viral replication, reversal of latency in HIV-infected cells, and augmented infected cell opsonization has been observed with CAP treatment. Plasma-treated medium has shown to deactivate Herpes simplex virus (HSV-1) in human corneal explants and epithelial cells, and lessen the severity of herpes simplex keratitis. Perception of cellular changes that triggers innate and adaptive immune response during CAP treatment is quintessential for understanding and expansion of research in this arena. This review mentions the inimitable properties of plasma that makes it a safe and sensitive immunotherapeutic tool. The methods of plasma generation relied for the purpose are elucidated. The cellular mechanism of immunological stimulation in cancer, HIV, and keratitis during CAP treatment is detailed. The future prospects and challenges are briefly addressed.HighlightsReactive oxygen and nitrogen radicals produced by cold atmospheric plasma (CAP) triggers oxidative stress in exposed cells.Cells in oxidative stress incite immunological response that could be suitably manipulated for immunotherapy.The role of reactive radicals and methods of plasma generation for immunotherapy is elucidated.The cellular and molecular cascade of reactions leading to immunological cell death in cancer cells is detailed.The mechanism of HIV inactivation and reduced infection; further, deactivation of HSV in Herpes keratitis in intact human corneal explants is also described.

Marine Based Natural Products: Exploring the Recent Developments in the Identification of Antimicrobial Agents.

The marine ecosystem is the less explored, biologically diverse, and vastest resource to discover novel antimicrobial agents. In recent decades' antimicrobial drugs are losing their effectiveness due to the growing resistance among pathogens, which causes diseases to have considerable death rates across the globe. Therefore, there is a need for the discovery of new antibacterials that can reach the market. There is a gradual growth of compounds from marine sources which are entering the clinical trials. Thus, the prominence of marine natural products in the field of drug design and discovery across the academia and pharmaceutical industry is gaining attention. Herein, the present review covers nearly 200 marine based antimicrobial agents of 11 structural classes discovered from the year 2010 to 2022. All the discussed compounds have exhibited medium to high antimicrobial activity in inhibiting various microorganisms.

Light Weighted Healthcare CNN Model to Detect Prostate Cancer on Multiparametric MRI.

The SEMRCNN model is proposed for autonomously extracting prostate cancer locations from regions of multiparametric magnetic resonance imaging (MP-MRI). Feature maps are explored in order to provide fine segmentation based on the candidate regions. Two parallel convolutional networks retrieve these maps of apparent diffusion coefficient (ADC) and T2W images, which are then integrated to use the complimentary information in MP-MRI. By utilizing extrusion and excitation blocks, it is feasible to automatically increase the number of relevant features in the fusion feature map. The aim of this study is to study the current scenario of the SE Mask-RCNN and deep convolutional network segmentation model that can automatically identify prostate cancer in the MP-MRI prostatic region. Experiments are conducted using 140 instances. SEMRCNN segmentation of prostate cancer lesions has a Dice coefficient of 0.654, a sensitivity of 0.695, a specificity of 0.970, and a positive predictive value of 0.685. SEMRCNN outperforms other models like as V net, Resnet50-U-net, Mask-RCNN, and U network model for prostate cancer MP-MRI segmentation. This approach accomplishes fine segmentation of lesions by recognizing and finding potential locations of prostate cancer lesions, eliminating interference from surrounding areas, and improving the learning of the lesions' features.

Supervised Computer-Aided Diagnosis (CAD) Methods for Classifying Alzheimer's Disease-Based Neurodegenerative Disorders.

Alzheimer's disease is incurable at the moment. If it can be appropriately diagnosed, the correct treatment can postpone the patient's illness. To aid in the diagnosis of Alzheimer's disease and to minimize the time and expense associated with manual diagnosis, a machine learning technique is employed, and a transfer learning method based on 3D MRI data is proposed. Machine learning algorithms can dramatically reduce the time and effort required for human treatment of Alzheimer's disease. This approach extracts bottleneck features from the M-Net migration network and then adds a top layer to supervised training to further decrease the dimensionality and delete portions. As a consequence, the transfer network presented in this study has several advantages in terms of computational efficiency and training time savings when used as a machine learning approach for AD-assisted diagnosis. Finally, the properties of all subject slices are combined and trained in the classification layer, completing the categorization of Alzheimer's disease symptoms and standard control. The results show that this strategy has a 1.5 percentage point better classification accuracy than the one that relies exclusively on VGG16 to extract bottleneck features. This strategy could cut the time it takes for the network to learn and improve its ability to classify things. The experiment shows that the method works by using data from OASIS. A typical transfer learning network's classification accuracy is about 8% better with this method than with a typical network, and it takes about 1/60 of the time with this method.