386 research outputs found
COMBINED DETECTION OF URINARY MICRO ALBUMIN, Α1‑MICROGLOBULIN AND N-ACETYL-Β-D-GLUCOSAMINIDASE IN THE EARLY DIAGNOSIS OF DIABETIC NEPHROPATHY
No full textDr. Ameena Fatima, Dr. Zeeshan Rashid and Dr. Syed Ali Naqi and Dr. Hasnain Mahboob
Enhancement of structural and magnetic properties of M-type hexaferrite permanent magnet based on synthesis temperature
No full textThe main purpose of this research work is to develop the single domain magnetic particles of M-type barium hexaferrite (BaFe12O19) using oxide precursors employing conventional powder metallurgy technique. The phase formation and magnetic performance of the powders and magnets will be optimized by adjusting calcination and sintering temperatures. The synthesis of M-type barium hexaferrite was carried out in two sections. A series of four samples have been prepared by initial wet mixed powders calcined at different temperatures, i.e., 750, 850, 950 and 1050 degrees C. On the basis of structural analysis, the sample calcined at 950 degrees C has been selected and further divided into four parts to sintered them at 1100,1150,1200 and 1250 degrees C. The structural measurements depict the confirmation of M-type barium hexaferrite structure. SEM micrographs show the hexagonal-shaped grains. The abrupt decrease in coercivity for the sample sintered at 1250 degrees C has been seen which may be due to high sintering temperature, at which the particles have multi-domain properties
Folio
No full textNasir, M. Umar-Essay-Social Deterioration: A Direct Consequence of Work Dishonesty. pp. 1-2; Nisar Ahmed-Essay-Equality and Harmony. pp. 3-4; Shahzad Munawar-Essay-Importance of Ethics and Values. pp. 5-6; Akhtar, S. Mohsin-Father Abraham, have mercy upon us... pp. 7-12; Sobia Kiran-Essay-On Ethics. pp. 13-15; Irshad Ali Rana-Blood Menace. pp. 16-17; Arsalaan Naveed-Essay-The Seeing, See Little. pp. 18-19; Omer Javed Pal-Essay-Personal Values. pp. 20; Dr.Naseem Riaz-Essay-Of Plagiarism. pp. 21-22; Nawazish Ali-Essay-Kindness. pp. 23; Salman Rafi-Essay-Responsibility and Criticism. pp. 24; Zainab Mohsin-Essay-Psychological Problems Faced by Women in Pakistan. pp. 25; Omer Habib-The Invisible Cage. pp. 26; Arooj Waheed-A Quest for Identity. pp. 27; Zishan Fida-Essay-Importance of Education. pp. 29-30; Naqwi, Z. 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In silico RNA Interference: A Powerful Weapon against Virus Defense in Plants
No full textVirus diseases are major threat for agricultural production. They cause severe damages to crops leading to huge economic losses. Upon virus infection, plant defence system triggers RNA interference (RNAi) pathway which is a homologydependent gene silencing mechanism implicating degradation of complementary RNA. Employing small RNA molecules such as miRNA and siRNA, RNAi has been widely manipulated to engineer resistance in plants against viruses. Small RNA species have been demonstrated to play primary roles in several regulatory pathways inside the host. To counteract host-mediated RNA silencing, viruses have evolved several silencing suppressor genes. A large number of experimental evidences validate that inhibition of cytoplasmic RNA silencing occurs via virus derived suppressor genes. In this review, several conventional and nonconventional control measures to combat virus diseases have been described. Progression of In silico biology, involving miRNA and siRNA, equip the plant with one more arm in repertoire of tools against viruses. It holds great promise in delivering immunity against virus infection. Future investigations will provide more information about small RNA(s) expression profiles in response to viru
Road Towards Development of New Antimalarial: Organelle Associated Metabolic Pathways in Plasmodium as Drug Targets and Discovery of Lead Drug Candidates
No full textMalaria remains a global threat with millions of deaths annually. Emergence of parasite strains resistant to widely used antimalarials, including the artemisinin combination therapy (ACT), and the absence of an effective vaccine makes treatment of malaria difficult than ever before. The need of the hour is to re-evaluate the chemotherapeutic approach and to identify new drug targets and develop new pharmacophores against the parasite. An important approach for antimalarial drug discovery is to understand critical metabolic pathways in the parasite which may help us to identify critical targets in the parasites and design specific inhibitors for these targets. Here, we have discussed proteins and pathways in different parasite organelles, i.e. apicoplast, mitochondrial and food vacuole, which have been suggested as potential drug targets; these unique parasite proteins can be targeted to develop new and novel antimalarials. In addition, we have also discussed several antimalarial projects currently under different stages of drug development pipeline. These promising antimalarial compounds have the potential to overcome multidrug resistance. Ongoing global efforts to develop new antimalarials and to identify drug targets suggest a promising future on malaria elimination and eradication
Computational methods for physiological data
No full textThesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2009.Author is also affiliated with the MIT Dept. of Electrical Engineering and Computer Science. Cataloged from PDF version of thesis.Includes bibliographical references (p. 177-188).Large volumes of continuous waveform data are now collected in hospitals. These datasets provide an opportunity to advance medical care, by capturing rare or subtle phenomena associated with specific medical conditions, and by providing fresh insights into disease dynamics over long time scales. We describe how progress in medicine can be accelerated through the use of sophisticated computational methods for the structured analysis of large multi-patient, multi-signal datasets. We propose two new approaches, morphologic variability (MV) and physiological symbolic analysis, for the analysis of continuous long-term signals. MV studies subtle micro-level variations in the shape of physiological signals over long periods. These variations, which are often widely considered to be noise, can contain important information about the state of the underlying system. Symbolic analysis studies the macro-level information in signals by abstracting them into symbolic sequences. Converting continuous waveforms into symbolic sequences facilitates the development of efficient algorithms to discover high risk patterns and patients who are outliers in a population. We apply our methods to the clinical challenge of identifying patients at high risk of cardiovascular mortality (almost 30% of all deaths worldwide each year). When evaluated on ECG data from over 4,500 patients, high MV was strongly associated with both cardiovascular death and sudden cardiac death. MV was a better predictor of these events than other ECG-based metrics. Furthermore, these results were independent of information in echocardiography, clinical characteristics, and biomarkers.(cont.) Our symbolic analysis techniques also identified groups of patients exhibiting a varying risk of adverse outcomes. One group, with a particular set of symbolic characteristics, showed a 23 fold increased risk of death in the months following a mild heart attack, while another exhibited a 5 fold increased risk of future heart attacks.by Zeeshan Hassan Syed.Ph.D
Elucidating the Mechanism of Vanillin Induced Mycobacterial Membrane Disruption: Implications of Lipid Alteration
No full textGene expression patterns of encapsulated microbial cells
No full textTo design hybrid cellular/synthetic devices such as sensors and vaccines, understanding of how the metabolic state of living cells changes upon physical confinement within three-dimensional matrices is vital. We analyze the gene expression patterns of stationary phase Saccharomyces cerevisiae (S. cerevisiae) cells encapsulated within three distinct nanostructured silica matrices and relate those patterns to known naturally occurring metabolic states. It was found that the cells for all three-encapsulated methods enter quiescent states characteristic of response to stress, albeit to different degrees and with differences in detail. By the measure of enrichment of stress-related Gene Ontology categories, we find that the AqS+g encapsulation more amenable to the cells than CDA and SD encapsulation. We hypothesize that this differential response in the AqS+g encapsulation is related to four properties of the encapsulating gel: 1) oxygen permeability, 2) relative softness of the material, 3) development of a protective sheath around individual cells, and 4) the presence of glycerol in the gel, which has been previously noted to serve as a protectant for encapsulated cells and can serve as the sole carbon source for S. cerevisiae under aerobic conditions. This work represents a combination of experiment and analysis aimed at the design and development of 3D encapsulation procedures to induce, and perhaps control, well-defined physiological behaviors.
We also report on the temporal pattern of yeast gene expression patterns during encapsulation in silica matrices via a cell-directed assembly process, and upon release. Three broad classes of patterns are seen. A major shift in expression patterns is seen upon encapsulation, relative to the beginning stationary state, similar to previously reported stress response. Significant continuing shifts are seen by sampling at different intervals during a one week encapsulation. Upon release from encapsulation and reincubation in growth medium, the cells are in a state significantly different from the state prior to encapsulation and similar to the state during encapsulation. Implications are drawn for the use of encapsulated micro-organism as sensors and effectors, and for the persister state of such organisms.
Ordinarily Gene Ontology (GO) enrichment analysis is subject to an arbitrary threshold for defining significance of enriched classes. In this paper, we consider replacing an arbitrary threshold with F-measure optimization to define the p-value that divides “significant enrichment” from “non-significant”. It is found that evaluation of false negatives (essential for computing recall and thus F-measure) requires a heuristic (but reasonable) assumption. We apply F-measure optimization to two sets of genes from different organisms and use Benjamini-Hochberg and random resampling to evaluate the number of false positives. It is found that the uncorrected p- value that produces optimum F-measure varies widely from one data set to another. It is also found that all three methods of FDR calculation diverge from each other within a range of uncorrected p-values that provide F-measure optimum p-values. This study includes in Appendix II a pipeline for using resampling and F-measure optimization to create lists of enriched GO classes that provide for variable weights of precision and recall.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-12-01The student, Zeeshan Fazal, accepted the attached license on 2017-08-14 at 13:34.The student, Zeeshan Fazal, submitted this Dissertation for approval on 2017-08-14 at 13:40.This Dissertation was approved for publication on 2017-08-16 at 15:26.DSpace SAF Submission Ingestion Package generated from Vireo submission #11597 on 2018-03-13 at 10:32:05Made available in DSpace on 2018-03-13T17:28:57Z (GMT). No. of bitstreams: 5
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Revealing the quasiparticle electronic and excitonic nature in cubic, tetragonal, and hexagonal phases of FAPbI3
No full textThe development of three-dimensional (3D) hybrid organic-inorganic perovskites has sparked much interest because of their rich light-harvesting capabilities in solar cells. However, the understanding of the electronic and optical properties, particularly the excitonic shifts upon structural phase transition with temperature in these materials, is not fully clear. Here, we report the accurate description of electronic and optical properties of mostly studied FAPbI(3) across the cubic-tetragonal-hexagonal phases, using the relativistic GW method and Bethe-Salpeter Equation (BSE), including the spin-orbit coupling effects. Our GW calculations reveal that the bandgap values vary from 1.47 to 3.54 eV from the room temperature cubic phase to the low temperature hexagonal phase. Our optical analysis shows that excitonic peaks are blue-shifted, and exciton binding energies estimated by the model BSE approach increase from 74 to 567 meV going from the cubic to hexagonal phases. Our results may have important impacts on the practical uptake of hybrid perovskite based solar cells under different climatic conditions. (c) 2022 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license(http://creativecommons.org/licenses/by/4.0/)
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