A Medical Analysis for Colorectal Lymphomas using 3D MRI Images and Deep Residual Boltzmann CNN Mechanism

In this technological world the healthcare is very crucial and difficult to spend time for the wellbeing. The lifestyle disease can transform in to the life threating disease and lead to critical stages. Colorectal lymphomas are the 3rd most malignancy death in the entire world. The estimation of the volume of lymphomas is often used by Magnetic Resonance Imaging during medical diagnosis, particularly in advanced stages. The research study can be classified in multiple stages. In the initial stages, an automated method is used to calculated the volume of the colorectal lymphomas using 3D MRI images. The process begins with feature extraction using Iterative Multilinear Component Analysis and Multiscale Phase level set segmentation based on CNN model. Then, a logical frustum model is utilized for 3D simulation of colon lymphoma for rendering the medical data. The next stages is focused on tackling the matter of segmentation and classification of abnormality and normality of lymph nodes. A semi supervised fuzzy logic algorithm for clustering is used for segmentation, whereas bee herd optimization algorithm with scale down for employed to intensify corresponding classifier rate of detection. Finally, classification is performed using Deep residual Boltzmann CNN. Our proposed methodology gives a better results and diagnosis prediction for lymphomas for an accuracy 97.7%, sensitivity 95.7% and specify as 95.8% which is superior than the traditional approach

Zooplankton Community in the Waters of Lab Faculty of Fisheries and Marine Science East Likupang North Minahasa

Tujuan penelitian ini adalah untuk mengetahui jenis, kepadatan, dan struktur komunitas Zooplankton seperti Indeks Keanekaragaman (H\u27), Indeks Dominansi (C), dan Keseragaman (e). Pengambilan sampel dilakukan pada 12 November 2019 mengunakan planktonet sampai kedalaman 10 m dari permukaan laut, dilakukan secara vertikal sebanyak 3 kali pada setiap titik. Berdasarkan hasil pengamatan diperoleh 22 genus 26 spesies dalam 3 kelas yaitu : Paracalanus sp, Rhincalanus sp, Calanus sp., Corycaeus sp, Acrocalanus sp., Oncaea sp, Oithona sp., Scolecithricella sp., Euterpina sp., Eurytemora sp., Centropages sp., Ctenocalanus sp., Eucalanus sp., Pseudocalanus sp., Microsetella sp., Nauplius sp., Squilla sp., Siriella sp., Pseudeuphausia sp., Nematocelis sp., Zoea., Solenocera sp. Kepadatan Relatif tertinggi terdapat pada Paracalanus sp yakni 39.38%. Keanekaragaman (H\u27) zooplankton di dua titik tergolong sedang. Nilai tersebut menunjukkan komunitas organisme dalam kondisi yang kurang beragam. Dan Dominansi (C) menunjukkan tidak ada spesies yang mendominasi di perairan Likupang Timur

Pertumbuhan Alga Cokelat Padina Australis Hauch Di Perairan Pesisir, Desa Kampung Ambon, Kecamatan Likupang Timur, Kabupaten Minahasa Utara

Alga laut adalah bagian terbesar dari tumbuhan laut, namun dari segi morfologi tumbuhan ini mempunyai perbedaan dengan tumbuhan-tumbuhan yang ada di daratan. Alga merupakan tumbuhan tingkat rendah yang tidak memiliki perbedaan susunan kerangka seperti alat pelekat (holdfast), batang (stipe) dan daun (blade) meskipun wujudnya tampak seperti ada perbedaan, tetapi sesungguhnya merupakan bentuk thallus belaka. Pemanfaatan rumput laut di Indonesia sendiri dimulai sejak tahun 1920 yang digunakan secara tradisional sebagai makanan seperti lalap, sayur dan manisan. Akan tetapi dengan berkembangnya ilmu pengetahuan, pemanfaatan alga laut ke arah komersial untuk diekspor semakin meningkat. Hal ini dikarenakan kandungan kimia yang terdapat dalam alga laut seperti agar dan karaginan yang terdapat pada alga merah, algin pada alga cokelat serta alga hijau yang merupakan sumber karbonat. Salah satu jenis alga laut cokelat yaitu Padina. Pada tahun 2014, telah dikembangkan produk anti-ageing oleh PT APRO yang bekerja sama dengan CEVA (Centre d‟Etude et de Valorisation des Algues) di Pleubian, Perancis yang berasal dari Padina australis yang dipanen dari Kawasan Timur Indonesia. Tujuan penelitian ini adalah untuk melihat pertumbuhan alga cokelat Padina australis untuk menentukan waktu panen yang tepat untuk pengembangan budidaya

Antitumor and Immunopotentiating Activity of Polysaccharide PST001 Isolated from the Seed Kernel of Tamarindus indica: An InVivo Study inMice

Antitumor activity of polysaccharide PST001 isolated from the seed kernel of Tamarindus indica was evaluated using different cancer cell lines. Human cancer cell lines A549, KB, and MCF-7 and murine cancer cell lines DLA and EAC were treated with PST001 and cell growth inhibition was assessed by MTT assay. In vivo studies were carried out for toxicity, tumor reduction and immunomodulation. The respective IC50 of PST001 in A549, KB, and DLA was at 80.72, 190.99, and 91.14 μg/mL. Significant tumor reduction was obtained in both DLA and EAC tumors on treatment with PST001 which was more prominent when PST001 was administered with CTX/5-fluorouracil. Increase in total WBC, CD4+ T-cell population, and bonemarrow cellularity suggested strong immunomodulatory activity for this compound. No significant abnormality was observed in toxicity studies. Thus the results of the present study suggest that PST001 has immunomodulatory and tumor inhibitory activities and has the potential to be developed as an anticancer agent and immunomodulator either as a sole agent or as an adjuvant to other chemotherapeutic drugs

SU(N) Coherent States and Irreducible Schwinger Bosons

We exploit the SU(N) irreducible Schwinger boson to construct SU(N) coherent states. This construction of SU(N) coherent state is analogous to the construction of the simplest Heisenberg-Weyl coherent states. The coherent states belonging to irreducible representations of SU(N) are labeled by the eigenvalues of the $(N-1)$ SU(N) Casimir operators and are characterized by $(N-1)$ complex orthonormal vectors describing the SU(N) group manifold.Comment: 12 pages, 3 figure

Which clinical and biochemical predictors should be used to screen for diabetes in patients with serious mental illness receiving antipsychotic medication? A large observational study

© 2019 Mitchell et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Objective We aimed to investigate which clinical and metabolic tests offer optimal accuracy and acceptability to help diagnose diabetes among a large sample of people with serious mental illness in receipt of antipsychotic medication. Methods A prospective observational study design of biochemical and clinical factors was used. Biochemical measures were fasting glucose, insulin and lipids, oral glucose tolerance testing (OGTT), hemoglobin A1c, and insulin resistance assessed with the homeostatic model (HOMA-IR) were determined in a consecutive cohort of 798 adult psychiatric inpatients receiving antipsychotics. Clinical variables were gender, age, global assessment of functioning (GAF), mental health clinicians\u27 global impression (CGI), duration of severe mental illness, height, weight, BMI and waist/hip ratio. In addition, we calculated the risk using combined clinical predictors using the Leicester Practice Risk Score (LPRS) and the Topics Diabetes Risk Score (TDRS). Diabetes was defined by older criteria (impaired fasting glucose (IFG) or OGTT) as well as2010 criteria (IFG or OGTT or Glycated haemoglobin (HBA1c)) at conventional cut-offs. Results Using the older criteria, 7.8% had diabetes (men: 6.3%; women: 10.3%). Using the new criteria, 10.2% had diabetes (men: 8.2%, women: 13.2%), representing a 30.7% increase (p = 0.02) in the prevalence of diabetes. Regarding biochemical predictors, conventional OGTT, IFG, and HbA1c thresholds used to identify newly defined diabetes missed 25%, 50% and 75% of people with diabetes, respectively. The conventional HBA1c cut-point of ≥6.5% (48 mmol/mol) missed 7 of 10 newly defined cases of diabetes while a cut-point of ≥5.7% improved sensitivity from 44.4% to up to 85%. Specific algorithm approaches offered reasonable accuracy. Unfortunately no single clinical factor was able to accurately rule-in a diagnosis of diabetes. Three clinical factors were able to rule-out diabetes with good accuracy namely: BMI, waist/hip ratio and height. A BMI \u3c 30 had a 92% negative predictive value in ruling-out diabetes. Of those not diabetic, 20% had a BMI ≥ 30. However, for complete diagnosis a specific biochemical protocol is still necessary. Conclusions Patients with SMI maintained on antipsychotic medication cannot be reliably screened for diabetes using clinical variables alone. Accurate assessment requires a two-step algorithm consisting of HBA1c ≥5.7% followed by both FG and OGTT which does not require all patients to have OGTT and FG

The Role of Regulated mRNA Stability in Establishing Bicoid Morphogen Gradient in Drosophila Embryonic Development

The Bicoid morphogen is amongst the earliest triggers of differential spatial pattern of gene expression and subsequent cell fate determination in the embryonic development of Drosophila. This maternally deposited morphogen is thought to diffuse in the embryo, establishing a concentration gradient which is sensed by downstream genes. In most model based analyses of this process, the translation of the bicoid mRNA is thought to take place at a fixed rate from the anterior pole of the embryo and a supply of the resulting protein at a constant rate is assumed. Is this process of morphogen generation a passive one as assumed in the modelling literature so far, or would available data support an alternate hypothesis that the stability of the mRNA is regulated by active processes? We introduce a model in which the stability of the maternal mRNA is regulated by being held constant for a length of time, followed by rapid degradation. With this more realistic model of the source, we have analysed three computational models of spatial morphogen propagation along the anterior-posterior axis: (a) passive diffusion modelled as a deterministic differential equation, (b) diffusion enhanced by a cytoplasmic flow term; and (c) diffusion modelled by stochastic simulation of the corresponding chemical reactions. Parameter estimation on these models by matching to publicly available data on spatio-temporal Bicoid profiles suggests strong support for regulated stability over either a constant supply rate or one where the maternal mRNA is permitted to degrade in a passive manner

Contribution of Procurement Capacity of Public Agencies to Attainment of Procurement Objectives in Infrastructure Procurement

Purpose: Effective procurement of infrastructure is linked to the attainment of the sustainable development goals set by the United Nations. While the capacity of organisations is generally thought to be related to organisational performance, there is a lack of empirical insights concerning the contribution of procurement capacity of public organisations towards the attainment of procurement objectives in infrastructure procurement. Thus, it is unclear which aspects of the capacity of public procurement organisations contribute the most to the attainment of procurement objectives in the procurement of infrastructure. This research sought to address this gap. Design/methodology/approach: The research used a survey of public procurement professionals which yielded 590 responses. Findings: Exploratory factor analysis of 23 organisational capacity items revealed three components of organisational procurement capacity: ‘management of the procurement process’; ‘human and physical resources’; and ‘financial resources and management’. Multiple regression modelling of the relationship between the components and the attainment of 12 procurement objectives further reveals that there is a significant positive relationship between the three components and all the objectives. However, ‘management of the procurement process’ emerged as the greatest contributor to the attainment of seven objectives, whereas ‘human and physical resources’, and ‘financial resources and management’ were the greatest contributor to the attainment of one objective and four objectives, respectively. Originality/value: The study provides strong empirical justification for investment in the development of procurement capacity of public agencies involved in procurement of infrastructure. Furthermore, procurement capacity development of specific capacity components can be prioritised based on the relative contribution of capacity components to the attainment of desired procurement objectives. This should be useful to government policy makers as well as multilateral organisations that fund infrastructure and procurement reforms in various countries