Synthesis and characterization of CoFe2O4/MWCNTs nanocomposites and high-frequency analysis of their dielectric properties.

Nanoparticles of CoFe2O4 were synthesized by chemical co-precipitation method. The CoFe2O4/MWCNT nanocomposites were synthesized with increasing contents of MWCNTs, i.e., 0.0, 2.0, 3.0, and 5.0% by weight via ultrasonication method in a dispersive medium using ortho-xylene. The synthesized cobalt ferrite nanoparticles and their nanocomposites were characterized by impedance analyzer, Fourier-transform infrared spectroscopy (FTIR), scanning electron microscope (SEM), and x-ray diffraction (XRD) techniques. The XRD indexed patterns confirmed the face-centered cubic structure of CoFe2O4/MWCNT nanocomposites. The average crystallite size in all the samples was in the range of 15 to 35 nm. The decorations of CoFe2O4 on MWCNTs were confirmed by SEM images. The FTIR results showed two vibrational bands. With the increasing contents of multi-walled carbon nanotubes in the cobalt ferrite/MWCNT nanocomposites, the dielectric properties were also enhanced. At 1 MHz, dielectric constant, dielectric loss, and tangent loss factor were increased from 26, 15.1, and 0.580 for pure cobalt ferrite to 47, 28.9, and 0.614 for loading of 5% MWCNTs, respectively. At 1 GHz, dielectric constant, dielectric loss, and tangent loss factor were increased from 11.6, 0.33, and 0.028 for pure cobalt ferrite to 19.4, 0.61, and 0.031 for loading of 5% MWCNTs, respectively. Such a huge increase in the dielectric properties of cobalt ferrite and multi-walled carbon nanocomposites exploited their applications at high frequency

Fast Computation of Highly Oscillatory ODE Problems: Applications in High Frequency Communication Circuits

Two types of algorithms are presented to approximate highly oscillatory and non-oscillatory first order ordinary differential equations. In the first approach, radial basis function interpolation is used to approximate the function f(t,x), then quadrature method is used to evaluate the integral part of the equation. The method is implementable to non-oscillatory first order initial value problems. The second approach is more generic and can approximate highly oscillatory and non-oscillatory initial value problems. Accordingly, the first order initial value problem with oscillatory forcing term is transformed into an integral with oscillatory Fourier kernel. The transformed oscillatory integral is then evaluated numerically by the Levin collocation method. Finally, non-linear form of the initial value problems with oscillatory forcing term is converted into a linear form using Bernoulli’s transformation. The resulting linear oscillatory problem is then computed by the new approaches. To justify accuracy of the algorithms, few numerical examples are added from the literature.publishedVersio

Phytochemical screening and assessment of pharmacological properties of Swertia chirayita (Roxb. ex fleming) root methanolic extract

Background and Objective: Various parts of medicinal plants have been used to treat specific disorder from ancient times. Swertia chirayita (Roxb. ex Fleming) is a customary folklore medicine, used in the treatment of liver disorders, fevers, dysentery, diarrhea, stomach problems and other disorders. The present study was carried out in order to assess the antioxidant activity, to evaluate the antifungal properties of the plant’s root and to observe anticancer potential of methanolic extract of Swertia chirayita root. Materials and Methods: Phytochemical analysis and different chemical tests for the screening and identification of bioactive chemical constituents in Swertia chirayita methanolic root extract (SCME) were carried out using the standard procedures. The plants were purchased from local herbal market. In vitro determination of antioxidant properties of SCME were conducted using 1,1-diphenyl-2-picrylhydrazyl (DPPH)radical scavenging activity, H2O2 scavenging activity, Beta-carotene bleaching assay, total antioxidant activity by phosphomolybdenum method, azinobis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical cation scavenging activity and hydroxyl radical scavenging activity. Anticancer activity of SCME was determined according to the protocol of brine shrimp lethality test. Antifungal potential was determined by measuring zone of inhibition on Potato Dextrose Agar (PDA) plates. The different concentrations of SCME used were 3.0, 1.5, 0.75 and 0.37 mg mL–1. The data were evaluated as Mean±Standard Deviations of 5 independent experimental responses. The results were analyzed using t-test for independent samples with SPSS version 16.0. Results: Phytochemical analysis of SCME showed that phlobatannins, tannins, saponins and terpenoids were present. The SCME exhibited strong antioxidant activity in a concentration dependent manner for in all six models. The SCME at dose of 3 mg mL–1 caused 100% death rate of brine shrimp after 72 h. The SCME showed potent activity against Aspergillus flavus (87%) followed by Aspergillus niger (88%) while the highest activity was shown against Aspergillus fumigatus (92%). Conclusion: The SCME exhibited strong antioxidant, antifungal and cytotoxic potential. Purification of different bioactive compounds should be carried out and in vivo studies are required for further verification.Scopu

Ethnoveterinary Study of Medicinal Plants in a Tribal Society of Sulaiman Range

The aims of the present study were (i) to document ethnoveterinary plants and their formulation techniques in an unexplored region of Pakistan and (ii) to select candidate medicinal plants with high consensus factor and fidelity value for further in vitro investigation. A total of 60 informants were interviewed using semistructured questionnaire. A total of 41 plants belonging to 30 families were used to treat livestock ailments in study area. Mostly leaves (47%) were used in recipes formulation mostly in the form of decoction. Gastrointestinal infections were found more common and majority of the plants were used against cow (31) and buffaloes (24) ailments. Recovery time of majority of the recipes was three to four days. Informant consensus factor (Fic) results have shown a high degree of consensus for gastrointestinal, respiratory, and reproductive (0.95 each) ailments. Fidelity level (FL) results showed that Asparagus gracilis ranked first with FL value 93% followed by Rumex hastatus ranked second (91%) and Tinospora cordifolia ranked third (90%). Aged farmers and nomads had more traditional knowledge as compared to younger ones. Plants with high Fic and FL values could be further investigated in vitro for the search of some novel bioactive compounds and young generation should be educated regarding ethnoveterinary practices

Antibacterial, Antifungal, Cytotoxic, Phytotoxic, Insecticidal, and Enzyme Inhibitory Activities of Geranium wallichianum

The present study describes the phytochemical investigations of the crude extracts of rhizomes and leaves of Geranium wallichianum. The crude extracts were fractionated to obtain n-hexane, ethyl acetate, and n-butanol fractions, which were subjected to different biological activities and enzyme inhibition assays to explore the therapeutic potential of this medicinally important herb. The results indicated that the crude extracts and different fractions of rhizomes and leaves showed varied degree of antimicrobial activities and enzyme inhibitions in different assays. Overall, the rhizome extract and its different fractions showed comparatively better activities in various assays. Furthermore, the purified constituents from the repeated chromatographic separations were also subjected to enzyme inhibition studies against three different enzymes. The results of these studies showed that lipoxygenase enzyme was significantly inhibited as compared to urease. In case of chemical constituents, the sterols (2–4) showed no inhibition, while ursolic acid (1) and benzoic ester (6) showed significant inhibition of urease enzymes

A Review: An Insight into the Potential of Biological Control of Ticks in Domestic and Wild Animals

Ticks are hematophagous arthropods that transmit pathogens to humans, animals and poultry birds, mostly in tropical and subtropical regions globally, causing considerable economic and health losses by serving infectious vectors. In endemic locations of the world, tick-borne diseases have become a public health issue. Ticks biting causes anemia in animals and also impair their hide quality. Therefore, the current review article focused on the biological control of ticks. Ticks, like any other creature, are susceptible to various infectious agents (Anaplasma phagocytophilum, Babesia bigemina, B. gibsoni, Hepatozoon canis, H. americanum, Theileria annulate, T. taurotragi etc). Ticks can become infected with rickettsia, spirochetes, viruses, bacteria, and fungi. Some protozoans and worms infiltrate ticks and reproduce inside them, killing them. Fungus (Metarhizium anisopliae, Verticiliium lecanii, Beauveria bassiana), bacteria (Bacillus), nematodes (Steinernema glaseri, S. carpocapsae), and parasitoids (Ixodiphagus species.) have proved effective biological agents to control ticks. Insects are also a type of natural tick enemy. Ticks that are engorged with blood and while moulting are the most vulnerable to insect predation and eaten by spiders, ants, beetles, dragonflies, and wasps (Ixodiphagus). Ticks are also preyed upon by amphibians and reptiles. Birds such as yellow-billed oxpecker (Buphagus africanus), helmeted guineafowl and Galliformes are good predators of ticks. Biological agents affect only target pests (ticks), do not destroy beneficial natural enemies and are safer for the ecosystem and humans. By keeping in view, the significance of biological agents, we highly recommend them in integrated tick management program that could minimize the tick population

A High Grade Diffuse B Cell Lymphoma Patient Presented with Isolated Large Space Occupying Lesion in the Frontal Lobe Mimicking High Grade Glioma or Fungal Granuloma Case Report and Review of Literature

Primary high grade B-cell-type cerebral lymphoma is a rare subtype of primary central nervous system lym-phoma. We herein report an unusual case of diffuse B-cell lymphoma in a young lady who presented with a large intracerebral space occupying lesion without extracranial involvement. The notable aspects of this case include the patient was having a short clinical history of symptom onset, rapid neurological deterioration having severe midline shift on imaging and a final histopathological diagnosis was consistent with high-grade diffuse B cell lymphoma after subtotal surgical resection. Extracranial extension of the disease was unremarkable on PET scanning. This case highlights the challenges neurosurgeons face, especially in the emergency setting, when the disease manifests in varied presentations.&nbsp

Defense strategies of cotton against whitefly transmitted CLCuV and Begomoviruses

Cotton leaf curl virus (CLCuV) is economically important monopartite Geminivirus which is transmitted by whitefly in persistent circulative manner. In Pakistan, CLCuV causes severe damage to Gossypium hirsutum whereas G. arboreum is resistant to this virus. A total of 86 articles were included in this study that were searched through web of knowledge, web of science and google scholar by using the keywords of cotton, CLCuV, waxes, Begomoviruses and transgenic techniques used against Begomoviruses in plants. Various transgenic strategies i.e., pathogen derived resistance (with and without protein expression) and non - pathogen derived resistance have been adopted to control this virus or its vector. Beside these, some natural defense mechanisms of plant also protect it against the vector. The cuticular waxes make the insects’ attachment difficult to plant surfaces and act as a physical barrier. The cuticular waxes in G. arboreum act as first line of defense against whiteflies and thus CLCuV. Some other defense strategies may involve hindering the insect movements or depriving it from food due to thick waxy layer. Biotechnological strategies against various Begomoviruses including CLCuV were found successful in some crops except cotton. Whereas, the natural defense strategies in G. arboreum i.e., long trichome or presence of inorganic salts with increased concentration of waxes, provide good defense strategy against whiteflies, CLCuV and other pathogens

Photocatalytic response in water pollutants with addition of biomedical and anti-leishmanial study of iron oxide nanoparticles

Public health is a major concern globally, owing to the presence of industrial dyes in the effluent. Nanoparticles with green synthesis are an enthralling research field with various applications. This study deals with investigating the photocatalytic potential of Fe-oxide nanoparticles (FeO-NPs) for the degradation of methylene blue dye and their potential biomedical investigations. Biosynthesis using Anthemis tomentosa flower extract showed to be an effective method for the synthesis of FeO-NPs. The freshly prepared FeO-NPs were characterized through UV/Vis spectroscopy showing clear peak at 318 nm. The prepared FeO-NPs were of smaller size and spherical shape having large surface area and porosity with no aggregations. The FeO-NPs were characterized using XRD, FTIR, HRTEM, SEM and EDX. The HRTEM results showed that the particle size of FeO-NPs was 60–90 nm. The antimicrobial properties of FeO-NPs were investigated against two bacterial Staphylococcus aureus 13 (±0.8) and Klebsiella pneumoniae 6(±0.6) and three fungal species Aspergillus Niger, Aspergillus flavus, and Aspergillus fumigatus exhibiting a maximum reduction of 57% 47% and 50%, respectively. Moreover, FeO-NPs exhibited high antioxidant properties evaluated against ascorbic acid. Overall, this study showed high photocatalytic, antimicrobial, and antioxidant properties of FeO-NPs owing to their small size and large surface area. However, the ecotoxicity study of methylene blue degradation products showed potential toxicity to aquatic organisms

Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare

The detection and classification of drug–drug interactions (DDI) from existing data are of high importance because recent reports show that DDIs are among the major causes of hospital-acquired conditions and readmissions and are also necessary for smart healthcare. Therefore, to avoid adverse drug interactions, it is necessary to have an up-to-date knowledge of DDIs. This knowledge could be extracted by applying text-processing techniques to the medical literature published in the form of ‘Big Data’ because, whenever a drug interaction is investigated, it is typically reported and published in healthcare and clinical pharmacology journals. However, it is crucial to automate the extraction of the interactions taking place between drugs because the medical literature is being published in immense volumes, and it is impossible for healthcare professionals to read and collect all of the investigated DDI reports from these Big Data. To avoid this time-consuming procedure, the Information Extraction (IE) and Relationship Extraction (RE) techniques that have been studied in depth in Natural Language Processing (NLP) could be very promising. Since 2011, a lot of research has been reported in this particular area, and there are many approaches that have been implemented that can also be applied to biomedical texts to extract DDI-related information. A benchmark corpus is also publicly available for the advancement of DDI extraction tasks. The current state-of-the-art implementations for extracting DDIs from biomedical texts has employed Support Vector Machines (SVM) or other machine learning methods that work on manually defined features and that might be the cause of the low precision and recall that have been achieved in this domain so far. Modern deep learning techniques have also been applied for the automatic extraction of DDIs from the scientific literature and have proven to be very promising for the advancement of DDI extraction tasks. As such, it is pertinent to investigate deep learning techniques for the extraction and classification of DDIs in order for them to be used in the smart healthcare domain. We proposed a deep neural network-based method (SEV-DDI: Severity-Drug–Drug Interaction) with some further-integrated units/layers to achieve higher precision and accuracy. After successfully outperforming other methods in the DDI classification task, we moved a step further and utilized the methods in a sentiment analysis task to investigate the severity of an interaction. The ability to determine the severity of a DDI will be very helpful for clinical decision support systems in making more accurate and informed decisions, ensuring the safety of the patients