Complications following comminuted femoral shaft fractures treated with interlocking nail with or without inter fragmentary screw fixation for butterfly fragment: case series

Background: This case series is to highlight the complications following interfragmentary compression screw fixation for butterfly fragment while treating femoral shaft fractures with interlocking nail.Methods: Twelve cases have been included in this study conducted in institute of orthopaedics and traumatology, MMC & RGGGH, Chennai. All patients had shaft of femur fracture with butterfly fragment for which open reduction and interlocking nailing done. For 6 patients we applied interfragmentary screws for the butterfly fragment and in rest of the patients (6) patients we left the butterfly fragment in situ without disturbing the soft tissue attachment and bone grafting for the bone gap where ever necessary. We followed up the patient at 3 weeks, 6 weeks and 12 weeks, 6 months and 12 months.Results: All the six patients fixed with inter fragmentary screws had wound infection and went for infected nonunion for which appropriate management was done including revision nailing or LRS application. Union was achieved in 12 to 16 months after various surgical interventions. Remaining six patients in whom interfragmentary screws were not applied and primary bone grafting when and where necessary was done, showed radiological union by three months.Conclusions: Blood supply to large butterfly fragment is the main key for the healing process not the near normal anatomical reduction using interfragmentary screw for the butterfly fragment. Relative stability is enough for fracture union. In bone defects arising out of comminution primary bone grafting is essential for the bone healing.

Structural characterization, antioxidant and anti-uropathogenic potential of biogenic silver nanoparticles using brown seaweed Turbinaria ornata

Alternative treatment strategies for urinary tract infections (UTIs) are becoming more necessary due to increasing drug resistance patterns in uropathogens. Nanoparticle-based therapeutics is emerging as a way to treat UTIs. In the present study, using Turbinaria ornata extract, silver nanoparticles (AgNPs) were synthesized, characterized, and their anti-uropathogenic activity was evaluated. The stability and formation of synthesized To-AgNPs were confirmed by UV-visible spectroscopy, FTIR, XRD, SEM, and DLS. An FTIR spectrum confirmed the presence of seaweed functional groups in To-AgNPs, a XRD analysis confirmed their crystalline nature, and SEM imaging confirmed their spherical nature with an average size of 73.98 nm with diameters ranging from 64.67 to 81.28 nm. This was confirmed by TEM results. DLS determined that the cumulant hydrodynamic diameter of To-AgNPs was 128.3 nm with a PdI of 0.313 and the zeta potential value were found to be –63.3 mV which indicates the To-AgNPs are negatively charged and more stable. DPPH assays were used to assess the antioxidant activity of biosynthesized To-AgNPs, while an agar well diffusion method was used to test the antibacterial activity against uropathogens, including Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Enterococcus faecalis, and Klebsiella pneumoniae. The To-AgNPs showed the highest susceptibility to S. aureus (15.75 ± 0.35 mm) and E. coli (15 ± 0.7 mm) with MIC values of 0.0625 and 0.125 mg/ml, respectively in macro broth dilution method and observed considerable membrane damage under CLSM and SEM. To-AgNPs displayed stronger antioxidant and antimicrobial activity, suggesting they may be developed as a new class of antimicrobial agents for treating UTIs

Assessment of anticancer properties of cumin seed (Cuminum cyminum) against bone cancer

IntroductionEarly-life osteosarcoma is associated with severe morbidity and mortality, particularly affecting young children and adults. The present cancer treatment regimen is exceedingly costly, and medications like ifosfamide, doxorubicin, and cisplatin have unneeded negative effects on the body. With the introduction of hyphenated technology to create medications based on plant molecules, the application of ayurvedic medicine as a new dimension (formulation, active ingredients, and nanoparticles) in the modern period is rapidly growing. The primary source of lead compounds for the development of medications for avariety of ailments is plants and their products. Traditionally, Cuminum cyminum (cumin) has been used as medication to treat a variety of illnesses and conditions.MethodsThe cumin seed was successfully extracted with solvents Hexane, Chloroform, Methanol, Ethanol and Acetone. Following the solvent extraction, the extract residue was assayed in MG63 cells for their anti-proliferative properties. ResultsFirst, we used the [3-(4,5-Dimethylthiazol-2-yl)-2,5-Diphenyltetrazolium Bromide] (MTT) assay to test the extracted residue’s cytotoxicity. The results show that hexane extract Half-maximal inhibitory concentration (IC50 86 µG/mL) effciently inhibits cells by causing programmed cell death. Furthermore, using the Acridine orange/ethidium bromide (AO/EB) staining method, the lactate dehydrogenase assay, and the reactive oxygen species assay using the Dichloro-dihydro-fluorescein diacetate (DCHFDA) staining method, we have demonstrated that the hexane extract causes apoptosis in MG63 cells. Furthermore, flow cytometry research revealed that the hexane extract stops the cell cycle in the S phase. In addition, the hexane extract limits colony formation and the migration potential as shown by the scratch wound healing assay. Furthermore, the extract from cumin seeds exhibits remarkable bactericidal properties against infections that are resistant to drugs. Gas chromatography analysis was used to quantitatively determine the hexane and methanolic extract based on the experimental data. The primary chemical components of the extract are revealed by the study, and these help the malignant cells heal. The present study finds that there is scientific validity in using cumin seeds as a novel method of anticancer therapy after undergoing both intrinsic and extrinsic research

Condition based management of gas turbine engine using neural networks

This research work is focused on the development of the hybrid neural network model to asses the gas turbine’s compressor health. Effects of various gas turbine compressor performance recovery methods like on-line washing, off-line washing and manual inlet guide vane cleaning are analyzed to segregate the recoverable and non-recoverable losses. The developed hybrid neural network model is used to analysis the above losses and suggest appropriate compressor washing schedule to run the gas turbine at its maximum efficiency.MASTER OF ENGINEERING (MPE

Investigations on Sound Absorption Properties of Luffa Fibrous Mats

In this study, the natural fibrous mats were developed using luffa fibrous materials and their sound absorption properties were investigated. Kapok/cotton web was used as middle layer in between two mats in order to improve the sound absorption efficiency. Four fibrous mats with different composition of layers were developed using thermal bonding. The developed mats were tested for Noise Reduction Coefficient (NRC) as per ASTM E 1050. The parameters influencing sound absorption properties of the developed mats such as addition of kapok/cotton web on the mats, thickness of mats and air gap maintained in the impedance tube during testing have been investigated. The sound absorption properties of developed mats improved due to the addition of kapok/cotton web and increased air gap. The increase in thickness of mats resulted in increase in sound absorption properties. Luffa mats having 4 layers had NRC value of 0.39 at the frequency range of 250 Hz to 2000 Hz which is comparable with commercially available glass fiber board

An Infrared Array Sensor-Based Approach for Activity Detection, Combining Low-Cost Technology with Advanced Deep Learning Techniques

In this paper, we propose an activity detection system using a 24 × 32 resolution infrared array sensor placed on the ceiling. We first collect the data at different resolutions (i.e., 24 × 32, 12 × 16, and 6 × 8) and apply the advanced deep learning (DL) techniques of Super-Resolution (SR) and denoising to enhance the quality of the images. We then classify the images/sequences of images depending on the activities the subject is performing using a hybrid deep learning model combining a Convolutional Neural Network (CNN) and a Long Short-Term Memory (LSTM). We use data augmentation to improve the training of the neural networks by incorporating a wider variety of samples. The process of data augmentation is performed by a Conditional Generative Adversarial Network (CGAN). By enhancing the images using SR, removing the noise, and adding more training samples via data augmentation, our target is to improve the classification accuracy of the neural network. Through experiments, we show that employing these deep learning techniques to low-resolution noisy infrared images leads to a noticeable improvement in performance. The classification accuracy improved from 78.32% to 84.43% (for images with 6 × 8 resolution), and from 90.11% to 94.54% (for images with 12 × 16 resolution) when we used the CNN and CNN + LSTM networks, respectively

Existence of solutions and approximate controllability of impulsive fractional stochastic differential systems with infinite delay and Poisson jumps

summary:The paper is motivated by the study of interesting models from economics and the natural sciences where the underlying randomness contains jumps. Stochastic differential equations with Poisson jumps have become very popular in modeling the phenomena arising in the field of financial mathematics, where the jump processes are widely used to describe the asset and commodity price dynamics. This paper addresses the issue of approximate controllability of impulsive fractional stochastic differential systems with infinite delay and Poisson jumps in Hilbert spaces under the assumption that the corresponding linear system is approximately controllable. The existence of mild solutions of the fractional dynamical system is proved by using the Banach contraction principle and Krasnoselskii's fixed-point theorem. More precisely, sufficient conditions for the controllability results are established by using fractional calculations, sectorial operator theory and stochastic analysis techniques. Finally, examples are provided to illustrate the applications of the main results