Clinical outcomes following surgical management of brain abscess in a tertiary care centre: retrospective analysis of 56 cases

Background: Despite the advent of newer antibiotics and surgical strategies, the overall outcome and quality of life issues in Brain Abscess (BA) patients remain a continuous challenge for the neurosurgical community.Methods: Fifty-six patients with BA are analyzed retrospectively, that treated between January 2014 and June 2019, according to age, the clinical symptoms, etiologic factors, infecting organisms, prognostic factors, localization, diagnostic and treatment methods and outcome.Results: In acute cases, common clinical features were headache, fever, vomiting, focal deficit and seizure. In chronic abscesses, common clinical features were mild to moderate headache and progressive focal deficit. In 12(21.42%) patients had adjacent localized sinus, middle ear infection. In 27(48.21%) patients no primary source of infection was identified, predisposing factors included post neurosurgery (8.92%), post penetrating injury (3.57%), and congenital heart disease, infective endocarditis, sinusitis. The frontal lobe involved in 28.5% cases, temporal lobe and cerebellum are next to be involved. Burr hole aspiration in 29(51.78%) cases, a craniotomy was done in 15(26.78%) cases. Pus culture was negative in 36 (64.28%) cases. Mortality was noted in 2(3.57%) cases. Complete resolution of the abscess with complete recovery of preoperative neuro-deficit was seen in 71.42% cases and recovery with major neuro-deficit was observed in 16.07% cases. The best outcome was seen with a better Glasgow Coma Scale (GCS) on admission.Conclusions: BA, when surgery is required, should be done on an emergency basis. BA treated with burr hole aspiration shows excellent clinical and radiological response. A craniotomy is required in selected cases and is a primary procedure in cerebellar, postoperative and posttraumatic abscesses. Broad-spectrum antibiotic therapy should be administered for a period of minimum 6 weeks to prevent relapse

Structural, Magnetic and Magneto-caloric studies of Ni50Mn30Sn20Shape Memory Alloy

We have synthesized a nominal composition of Ni50Mn30Sn20 alloy using arc melting technique. Rietveld refinement confirms the austenite L21 structure in Fm-3m space group. Electrical resistivity has been found to clearly exhibiting two different phenomena viz. a magnetic transition from paramagnetic to ferromagnetic and a structural transition from austenite to martensitic phase. Thermo-magnetization measurements M(T) confirms ferromagnetic transition temperature TC at 222 K and martensitic transition starting at 127 K(MS). Magnetization measurement M(H) at 10 K confirms the ferromagnetic state. Frequency dependence of ac susceptibility \c{hi}' at low temperature suggests spin glass behavior in the system. The isothermal magnetic entropy change values have been found to be 1.14 J/Kg.K, 2.69 J/Kg.K and 3.9 J/Kg.K, with refrigeration capacities of 19.6 J/kg, 37.8 J/kg and 54.6 J/kg for the field change of 1, 2 and 3 Tesla respectively at 227 K.Comment: 16 pages text + Figs. Ni50Mn30Sn20 alloy: reasonable refrigeration capacity tunable to Room

Impact of sintering temperature on room temperature magneto-resistive and magneto-caloric properties of Pr2/3Sr1/3MnO3

Magneto-resistive and magneto-caloric properties of polycrystalline Pr2/3Sr1/3MnO3 have been studied as a function of sintering temperature (Ts) between 1260-1450{\deg}C. Reitveld refinement of their X-ray diffraction (XRD) patterns confirms their single phase crystalline structure with orthorhombic Pbnm space group. The point of maximum value of temperature coefficient of resistance (TCRmax) and Curie temperature (Tc) decreased slightly with Ts. Magneto-resistance (MR) and magnetic entropy ({\Delta}SM) increased markedly with sintering temperature. This could be attributed to the observed sharpness of both the magnetic and resistive transitions due to better grain connectivity. Optimum results are obtained for the sample with Ts = 1400{\deg}C. MR at Tc of the same is found to be as large as 32% at 1T and 58% at 5T magnetic fields. The maximum entropy change ({\Delta}SMmax) near its Tc is 2.3Jkg-1K-1 and 7.8 Jkg-1K-1 upon 1T and 5T fields change respectively. These characteristics [MR (32% 1T, 58% 5T) and reasonable change in magnetic entropy (7.8Jkg-1K-1, 5T)] generate possibility that the optimized compound can be used as a potential magnetic refrigerant close to room temperature.Comment: 19 pages text + fig

Performance Comparison of Static CMOS and Domino Logic Style in VLSI Design: A Review

Of late, there is a steep rise in the usage of handheld gadgets and high speed applications. VLSI designers often choose static CMOS logic style for low power applications. This logic style provides low power dissipation and is free from signal noise integrity issues. However, designs based on this logic style often are slow and cannot be used in high performance circuits. On the other hand designs based on Domino logic style yield high performance and occupy less area. Yet, they have more power dissipation compared to their static CMOS counterparts. As a practice, designers during circuit synthesis, mix more than one logic style judiciously to obtain the advantages of each logic style. Carefully designing a mixed static Domino CMOS circuit can tap the advantages of both static and Domino logic styles overcoming their own short comings

Toxic Comment Classification using Deep Learning

Online Conversation media serves as a means for individuals to engage, cooperate, and exchange ideas; however, it is also considered a platform that facilitates the spread of hateful and offensive comments, which could significantly impact one's emotional and mental health. The rapid growth of online communication makes it impractical to manually identify and filter out hateful tweets. Consequently, there is a pressing need for a method or strategy to eliminate toxic and abusive comments and ensure the safety and cleanliness of social media platforms. Utilizing LSTM, Character-level CNN, Word-level CNN, and Hybrid model (LSTM + CNN) in this toxicity analysis is to classify comments and identify the different types of toxic classes by means of a comparative analysis of various models. The neural network models utilized for this analysis take in comments extracted from online platforms, including both toxic and non-toxic comments. The results of this study can contribute towards the development of a web interface that enables the identification of toxic and hateful comments within a given sentence or phrase, and categorizes them into their respective toxicity classes

Molecular genetics and phenotypic assessment of foxtail millet (Setaria italica (L.) P. Beauv.) landraces revealed remarkable variability of morpho-physiological, yield, and yield‐related traits

Foxtail millet (Setaria italica (L.) P. Beauv.) is highly valued for nutritional traits, stress tolerance and sustainability in resource-poor dryland agriculture. However, the low productivity of this crop in semi-arid regions of Southern India, is further threatened by climate stress. Landraces are valuable genetic resources, regionally adapted in form of novel alleles that are responsible for cope up the adverse conditions used by local farmers. In recent years, there is an erosion of genetic diversity. We have hypothesized that plant genetic resources collected from the semi-arid climatic zone would serve as a source of novel alleles for the development of climate resilience foxtail millet lines with enhanced yield. Keeping in view, there is an urgent need for conservation of genetic resources. To explore the genetic diversity, to identify superior genotypes and novel alleles, we collected a heterogeneous mixture of foxtail millet landraces from farmer fields. In an extensive multi-year study, we developed twenty genetically fixed foxtail millet landraces by single seed descent method. These landraces characterized along with four released cultivars with agro-morphological, physiological, yield and yield-related traits assessed genetic diversity and population structure. The landraces showed significant diversity in all the studied traits. We identified landraces S3G5, Red, Black and S1C1 that showed outstanding grain yield with earlier flowering, and maturity as compared to released cultivars. Diversity analysis using 67 simple sequence repeat microsatellite and other markers detected 127 alleles including 11 rare alleles, averaging 1.89 alleles per locus, expected heterozygosity of 0.26 and an average polymorphism information content of 0.23, collectively indicating a moderate genetic diversity in the landrace populations. Euclidean Ward’s clustering, based on the molecular markers, principal coordinate analysis and structure analysis concordantly distinguished the genotypes into two to three sub-populations. A significant phenotypic and genotypic diversity observed in the landraces indicates a diverse gene pool that can be utilized for sustainable foxtail millet crop improvement

Development and evaluation of a real-time one step Reverse-Transcriptase PCR for quantitation of Chandipura Virus

<p>Abstract</p> <p>Background</p> <p>Chandipura virus (CHPV), a member of family <it>Rhabdoviridae </it>was attributed to an explosive outbreak of acute encephalitis in children in Andhra Pradesh, India in 2003 and a small outbreak among tribal children from Gujarat, Western India in 2004. The case-fatality rate ranged from 55–75%. Considering the rapid progression of the disease and high mortality, a highly sensitive method for quantifying CHPV RNA by real-time one step reverse transcriptase PCR (real-time one step RT-PCR) using TaqMan technology was developed for rapid diagnosis.</p> <p>Methods</p> <p>Primers and probe for P gene were designed and used to standardize real-time one step RT-PCR assay for CHPV RNA quantitation. Standard RNA was prepared by PCR amplification, TA cloning and run off transcription. The optimized real-time one step RT-PCR assay was compared with the diagnostic nested RT-PCR and different virus isolation systems [<it>in vivo </it>(mice) <it>in ovo </it>(eggs), <it>in vitro </it>(Vero E6, PS, RD and Sand fly cell line)] for the detection of CHPV. Sensitivity and specificity of real-time one step RT-PCR assay was evaluated with diagnostic nested RT-PCR, which is considered as a gold standard.</p> <p>Results</p> <p>Real-time one step RT-PCR was optimized using <it>in vitro </it>transcribed (IVT) RNA. Standard curve showed linear relationship for wide range of 10²-10¹⁰(r²= 0.99) with maximum Coefficient of variation (CV = 5.91%) for IVT RNA. The newly developed real-time RT-PCR was at par with nested RT-PCR in sensitivity and superior to cell lines and other living systems (embryonated eggs and infant mice) used for the isolation of the virus. Detection limit of real-time one step RT-PCR and nested RT-PCR was found to be 1.2 × 10⁰PFU/ml. RD cells, sand fly cells, infant mice, and embryonated eggs showed almost equal sensitivity (1.2 × 10²PFU/ml). Vero and PS cell-lines (1.2 × 10³PFU/ml) were least sensitive to CHPV infection. Specificity of the assay was found to be 100% when RNA from other viruses or healthy individual was used.</p> <p>Conclusion</p> <p>On account of the high sensitivity, reproducibility and specificity, the assay can be used for the rapid detection and quantitation of CHPV RNA from clinical samples during epidemics and from endemic areas. The assay may also find application in screening of antiviral compounds, understanding of pathogenesis as well as evaluation of vaccine.</p