Comparison of cervical acid phosphatase papanicolaou stain and standard papanicolaou stain as a screening tool for cancer cervix

Background: Carcinoma cervix is the second most common cancer in women (18%). Cervical smear by routine Papanicolaou (Pap) smear screening has significant rates of false-positive and false-negative results. To minimise this, we compare the efficacy of cervical acid phosphatase-papanicolaou (CAP-Pap) smear with conventional Pap smear in detecting premalignant lesions of cervix. The red-colored granules (enzyme coated abnormal cells) that are clearly detected, CAP-Pap positive aids in the quick and early diagnosis of aberrant cells, which speeds up the screening procedureMethods: The present observational study conducted among the patients presenting to gynaecology department for cancer cervix screening. Two cervical smears were collected for Pap and CAP-Pap staining. Cytology report showing abnormality either in Pap smear or CAP-Pap smear were subjected for colposcopy guided cervical biopsy after VIA/VILI and their results were correlated with histopathology reports as gold standard.Results: Total of 321 women were enrolled in the study. On comparison with Cervical biopsy, Pap smear had a sensitivity of 83.3%, specificity of 50%, Positive predictive value of 88.2%, Negative predictive value of 40.0%. CAP-Pap had a sensitivity of 100%, specificity of 50%, PPV of 90%, NPV of 100%. As evidenced by the 100% sensitivity, CAP-Pap meets the screening test criteria.Conclusions: The CAP- Pap test has a bright future as a rapid, inexpensive, and efficient method for initial screening or as an addition to Pap smear in primary health care of India for effective cervical cancer screening

CFD Modeling of Crossflow Membrane Filtration- Integration of Filtration Model and Fluid Transport Model

Cross-flow membrane filtration has become a promising technique for waste-water treatment as compared to conventional treatment methods. One of the reasons is that the membrane techniques offer separation that can be achieved at ambient temperature with minimum energy. It is also an innovation for the application of cross-flow filtration in oil and gas industry especially as an integral part for the oil-in-water analysis of produced water prior to offshore disposal. However, good fouling control is essential for the efficiency of the cross-flow filtration unit. With the fact that membrane is not a passive entity, the understanding of particle deposition phenomena is vital for reducing fouling. In this paper, filtration will be modeled through the relationship between hydrodynamics of the cross-flows and the transfer of flows across the membrane. The results of FLUENT simulated model are in good agreement with experimental results. Simulation results of the model are presented and then validated using experimental data for distilled (DI) water. From the model, some connecting variables are identified and established in this modeling work. By attaining these connections, optimization of membrane filtration can be achieved by adjusting the operating parameters

Soil Characteristics Under Intensified Shifting Cultivation for Upland Rice Cultivation in Upland Sabal, Sarawak, Malaysia

Shifting cultivation practices are regarded as the most important agricultural land-use in the marginal uplands of Sarawak for the livelihood of the rural communities. In response to various socio-economic consequences, previous practices on traditional form of shifting cultivation were altered into much sedentary farming practices. Soil productivity to sustain rice yield under current intensified forms of shifting cultivation should be of prime importance for food security among the local community at the marginal uplands of Sarawak. Therefore, this study was conducted to characterize soil properties influenced by the current intensified shifting cultivation practices at Sabal upland area, Sarawak. Along with the use of agrochemicals, shifting cultivation at Sabal area was conducted through single cultivation practices (10 to 15 years of fallow period and a cycle of rice cultivation) and multiple cultivation practices (5 to 7 years of fallow period and two cycles of rice cultivation). Before burning practices, soil pH was highly acidic (ranged from 4.28 to 4.72) in single cultivation sites; while multiple cultivation sites showed less acidic nature (soil pH ranged from 4.98 to 5.23) with relatively high secondary macronutrient contents, especially soil exchangeable Mg and Ca. No significant observation was found after burning practice in Total C and Total N of the soils at both sites. The level of soil exchangeable bases (K, Mg and Ca) and available P increased after the burning practices in single cultivation farmlands; while multiple cultivation sites showed lower to no increase in exchangeable bases and available P, partly attributed to the limited supply of nutrients from the aboveground biomass. After the harvesting of rice, soils at both sites tended to be more acidic and lower in macronutrient contents (K, Mg and Ca), primarily ascribable to crop uptake during the cultivation period. The average yield of rice in single cultivation sites and multiple cultivation sites were 721 kg/ha and 391 kg/ha, respectively. Our findings suggested that the USAge of agrochemicals, particularly fertilizers in multiple cultivation sites are necessary for sustaining rice yield to restore the depleted macronutrients (especially K, Mg and Ca) after successive cultivation

Clone Detection using Textual and Metric Analysis to figure out all Types of Clones

Abstract -A Clone Detection approach is to find out the reused fragment of code in any application to maintain .Various types of clones are being identified by clone detection techniques. Since clone detection was evolved, it provides better results and reduces the complexity. A different clone detection tool makes the detection process easier and efficiently produces the results. In many existing system, it mainly focuses on line by line detection or token based detection to find out the clone in the system. So it makes the system to take long time to process the entire system. If the fragment of code are not at exact code but the functionalities makes it similar to each other. Then existing system doesn't figure out the clone of that type of clones in it. This paper proposes combination of textual and metric analysis of a source code for the detection of all types of clone in a given set of fragment of java source code. Various semantics had been formulated and their values were used during the detection process. This metrics with textual analysis provides less complexity in finding the clones and gives accurate result

Human activity recognition with smartphone and wearable sensors using deep learning techniques: a review

Human Activity Recognition (HAR) is a field that infers human activities from raw time-series signals acquired through embedded sensors of smartphones and wearable devices. It has gained much attraction in various smart home environments, especially to continuously monitor human behaviors in ambient assisted living to provide elderly care and rehabilitation. The system follows various operation modules such as data acquisition, pre-processing to eliminate noise and distortions, feature extraction, feature selection, and classification. Recently, various state-of-the-art techniques have proposed feature extraction and selection techniques classified using traditional Machine learning classifiers. However, most of the techniques use rustic feature extraction processes that are incapable of recognizing complex activities. With the emergence and advancement of high computational resources, Deep Learning techniques are widely used in various HAR systems to retrieve features and classification efficiently. Thus, this review paper focuses on providing profound concise of deep learning techniques used in smartphone and wearable sensor-based recognition systems. The proposed techniques are categorized into conventional and hybrid deep learning models described with its uniqueness, merits, and limitations. The paper also discusses various benchmark datasets used in existing techniques. Finally, the paper lists certain challenges and issues that require future research and improvements

Defective dendritic cell response to toll-like receptor 7/8 agonists in perinatally HIV-infected children

Understanding the defects in innate immunity associated with perinatal HIV infection is a prerequisite for effective antiretroviral treatment. We therefore compared the innate immune response [dendritic cell (DC) phenotype and function] in peripheral blood by flow cytometry at baseline and 12 months in HIV-infected children to determine the defect associated with perinatal HIV infection. As compared with controls, patients had decreased numbers of total DCs including plasmacytoid (p)DCs and myeloid (m)DCs and impaired function based on induction of maturation markers (CD83, CD80, CCR7) and cytokines tumor necrosis factor-α and interferon-α (exclusive to pDC) upon stimulation with the TLR7/8 agonist Resiquimod. These abnormalities were evident in all three CD4 immune categories and persisted over 12 months; pDC function worsened in HIV+ children without treatment and improved slightly in those on highly active antiretroviral therapy (HAART). In conclusion, a majority of perinatally HIV-infected older children without HAART remain clinically stable in the short term, but have demonstrable immunologic abnormalities indicative of defects in the innate immune system. Children initiated on HAART showed improvement in CD4 counts but did not show improvement in DC function over the short term

Macrocyclic lactone based tri-model therapy to treat humpsore in cattle under humid tropical island ecosystem

Humpsore is a chronic parasitic dermatitis in bovine species; induces severe economic losses to the dairy farmers. Various therapeutic methodologies were tried to treat humpsore in the past; however, they were partially effective against humpsore. Therefore, the present study was designed to assess the effect of tri-model therapy [macrocyclic lactone; Ivermectin, a piperazine derivative; diethylcarbamazine citrate (DECC) and an herbal ointment; Himax™] on treatment of humpsore in Andaman and Nicobar islands. Thirty‐six cattle (n=36 affected) were selected and divided into Gr 1: control (infected without treatment; n=18) and Gr 2: treatment group (infected with treatment; ivermectin, DECC and Himax, n=18) in South Andaman district. In Gr 2, treatment to the ailing animals was given for 45 days. Physiological profiles, hematological profiles, biochemical profiles [total protein, TP; albumin, AL; globulin, GL; creatinine, CR; glucose, GLU; total cholesterol, CHO and urea, URE], liver functional enzymes [aspartate aminotransferase, AST; alanine aminotransferase, ALT and alkaline phosphatase, ALP], mineral profiles, oxidative stress profiles [total antioxidant capacity, TAC; superoxide dismutase, SOD; catalase, CAT and malondialdehyde, MDA] and cortisol were estimated on day 30 of post treatment. Lesion was significantly reduced in day 15 of post‐treatment and completely healed on day 45 of post‐treatment in Gr 2. Physiological profiles, liver functional enzymes, urea, total white blood cell count, differential cell counts, MDA and cortisol were reduced significantly and blood profiles, biochemical profiles, mineral profiles and antioxidant profiles were increased significantly in tri-model therapy treated animals. Therefore, it can be concluded that tri‐model therapy is suitable to treat humpsore in dairy animals

Metal - Insulator transition driven by vacancy ordering in GeSbTe phase change materials

Phase Change Materials (PCMs) are unique compounds employed in non-volatile random access memory thanks to the rapid and reversible transformation between the amorphous and crystalline state that display large differences in electrical and optical properties. In addition to the amorphous-to-crystalline transition, experimental results on polycrystalline GeSbTe alloys (GST) films evidenced a Metal-Insulator Transition (MIT) attributed to disorder in the crystalline phase. Here we report on a fundamental advance in the fabrication of GST with out-of-plane stacking of ordered vacancy layers by means of three distinct methods: Molecular Beam Epitaxy, thermal annealing and application of femtosecond laser pulses. We assess the degree of vacancy ordering and explicitly correlate it with the MIT. We further tune the ordering in a controlled fashion attaining a large range of resistivity. Employing ordered GST might allow the realization of cells with larger programming windows

Metal - Insulator transition driven by vacancy ordering in GeSbTe phase change materials

Phase Change Materials (PCMs) are unique compounds employed in non-volatile random access memory thanks to the rapid and reversible transformation between the amorphous and crystalline state that display large differences in electrical and optical properties. In addition to the amorphousto-crystalline transition, experimental results on polycrystalline GeSbTe alloys (GST) films evidenced a Metal-Insulator Transition (MIT) attributed to disorder in the crystalline phase. Here we report on a fundamental advance in the fabrication of GST with out-of-plane stacking of ordered vacancy layers by means of three distinct methods: Molecular Beam Epitaxy, thermal annealing and application of femtosecond laser pulses. We assess the degree of vacancy ordering and explicitly correlate it with the MIT. We further tune the ordering in a controlled fashion attaining a large range of resistivity. Employing ordered GST might allow the realization of cells with larger programming windows