Study of variances in some blood factors during sepsis diagnosis and their interrelations

Background and aims: Sepsis is one of the most common reasons of mortality among patients in intensive care unit, worldwide. Despite new supportive treatments and administration of high potent antibiotics, sepsis is overwhelmingly one of the risky factors in patient’s life. This study was carried out to compare values of some of the blood tests in sepsis diagnosis and to examine their interrelations in order to select a more practicable diagnosis method. Methods: In this descriptive-analytical study, 30 patients with sepsis, hospitalized at ICU were selected. Erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), Platelet (PLT), and White blood cells (WBC) were measured in three stages: pre-sepsis, peri-sepsis, and post sepsis. Data analysis was conducted by SPSS using repeated measures ANOVA and paired t-test. Results: ESR, CRP, PLT, and WBC in peri sepsis were significantly higher than those in pre sepsis and post-sepsis (P<0.05). Comparing PCT mean level in post-sepsis was significantly lower than those in pre sepsis and post sepsis (P<0.05). Conclusion: Regarding the significant difference in ESR, CRP, and WBC in peri sepsis compared to pre - and post-sepsis in this study, these tests might be used as simple and inexpensive ones instead of PCT and C3 tests for the diagnosis of sepsis in ICU

Expression of NC-2 Receptor on MCL Cells and Its Natural Cytotoxicity Against Cancer Cells

Objectives: To identify the expression of NC-2 on an interleukin-3 dependent mast cell line (MCL) and investigate the activity of this receptor against tumor cells Design: Laboratory study Setting: Cellular and Molecular Center, Shahrekord, Iran Subjects and Methods: The MCL cells were stained with D9 monoclonal antibody (anti-NC-2) and analysed by flow cytometry. This was confirmed by immunoperoxidase staining. The cytotoxicity assay was performed to show the cytotoxic activity of MCL cells against 51Cr-labelled WEHI-164 tumor cells. Intervention: The expression of NC-2 on MCL cells, and the anti-tumor activity of this receptor were investigated. Main Outcome Measure(s): Flow cytometric analysis and in vitro experiments were performed for showing the activity of NC-2 against cancer. Results: NC-2 receptor was expressed on more than 95% of MCL cells. Pretreatment with D9 monoclonal antibody resulted in about 63% reduction in natural cytotoxicity of MCL cells against WEHI-164 tumor target cells. Conclusions: NC-2 is also one of the receptors expressed on MCL and utilized for WEHI-164 tumor cell killing

Preventive and therapeutic effects of tomato juice on the growth of fibrosarcoma tumor cells in Balb/c mice.

چکیده: زمینه و هدف: فیبروسارکوم توموری است با منشا سلول های مزانشیمال که از سلول های فیبروبلاست بدخیم و در یک زمینه کلاژن تشکیل شده است. اثرات ضد سرطان لیکوپن موجود در گوجه فرنگی در برخی از سرطان ها ثابت شده است. لذا این مطالعه با هدف تعیین اثرات پیشگیری کننده و درمانی عصاره گوجه فرنگی بر رشد فیبروسارکوما در موش های سوری انجام شد. روش بررسی: در این مطالعه تجربی به 3 گروه 10 تایی از موش های سوری نژاد Balb/c نر 8 هفته ای، 105×5 سلول توموری 164- WEHI در ناحیه سینه حیوان به شکل زیر پوستی تزریق شد. به گروه پیشگیری از 2 هفته قبل از تزریق سلول تومورال تا 2 هفته بعد و گروه درمان همزمان با تزریق سلول های تومورال تا 2 هفته بعد عصاره گوجه فرنگی با دوز 5 میلی گرم بر موش به شکل خوراکی از طریق لوله دهانی معده ای داده شد. مساحت تومورها در روزهای 10، 12،14،16، 18، 20 و 22 ثبت و داده ها با استفاده از آزمون های آماری کروسکال والیس و من ویتنی تجزیه و تحلیل گردید. یافته ها: نتایج مطالعه نشان داد که مساحت تومور در گروه کنترل پس از مداخله به شکل معنی داری نسبت به دو گروه درمانی و پیشگیری بیشتر بود (05/0

Determining the prevalence of Cryptosporidium and measuring of micronutrients in cryptosporidiosis among children under 5 years in

Abstract: Background: Cryptosporidium is a worldwide protozoa and one of the most important causes of diarrhea among under 5 years children and immunocompromized patients. The majority of studies conducted about the parasite is in developed countries and mainly focused on immunocompromized subjects. Also diarrhea and malnutrition are common in young children in developing countries and a reciprocal relationship has been postulated with diarrhea leading to malnutrition and malnutrition predisposing to diarrhea. ..

Prevalence of Cryptosporidium and risk factors related to cryptosporidiosis in hospitalized children under 5 years of age due to diarrhea (Shahrekord-2005)

& Objective: Cryptosporidium is a cosmopolitan protozoan parasite which is recently known as one of the main causes of diarrhea in children and immunocompromised cases. Majority of studies on this parasite in the last 3 decades focusing on immunocompromised cases has been reported from developed countries and no comprehensive study has evaluated the prevalence and risk factors related to cryptosporidiosis in Iran. This study aimed at investigating the prevalence of Cryptosporidium and risk factors related to ..

Rapid Prediction of Coastal Flooding with Deep Neural Networks

With the increasing impact of climate change and relative sea level rise, low-lying coastal communities face growing risks from extreme storm tides and recurrent nuisance flooding. Thus, timely and reliable predictions of coastal water levels are critical to resilience in vulnerable coastal areas. Over the past decade, enormous efforts have been made to utilize machine learning (ML) based data-driven models for the emulation and prediction of storm tides. However, flood advisory systems still rely on running computationally demanding real-time hydrodynamic models. because developing highly reliable ML-based models suitable for real-time forecasting and capable of capturing any surge levels is challenging. While ML-based models are very fast, challenges lie in ensuring reliability and ability to capture any surge level. In this research, we develop a deep neural network for spatiotemporal prediction of water levels in coastal areas. Our model relies on data from numerical weather prediction models as the atmospheric input and astronomical tide levels, while its outputs are time series of predicted water levels at several tide gauge locations. We utilized a CNN-LSTM setting as the architecture of the model. The CNN part extracts the features from an hourly sequence of gridded wind fields and fuses its output to several independent LSTM units. The LSTM units concatenate the atmospheric features with respective astronomical tide levels and produce water level time series. As an effort to fill a knowledge gap, we prioritized physical relation in the model by maintaining a high analogy to hydrodynamic modeling, either in the network architecture or in the selection of predictors and predictands. The results show that, with an average RMSE of 10.6cm, this setting yields a strong performance in predicting storm tides from minor to major levels

Agent-based modeling of banking service supply chain in Industry 4.0: A case study of Resalat Qard al Hasan Bank

Purpose: Industry 4.0 has profoundly impacted the structure of businesses and organizations worldwide, and the digital revolution has led to the transformation of the supply chain of various industries, including the supply chain of banking services. Therefore, it is necessary to redesign the supply chain in the new era. Methodology: This study investigated the supply chain of banking services of Industry 4.0 and its simulation based on agent-based modeling. This research model simulates the profit flow and other important financial variables related to agents such as customers, banks, fintechs, and other players in the supply chain of digital banking services. Findings: The simulation results in different time periods show the amount of changes in important parameters in the face of digital transformations in Industry 4.0. Factors such as the connection of organizations and fintechs to the supply chain of banking services, as well as the removal of physical branches and the use of digital tools, change the structure of the chain in terms of information evolution, service evolution, and financial evolution. Originality/value: This paper is one of the first studies to analyze the effects of Industry 4.0 on the banking service supply chain and can be considered a starting point for digital banking supply chain studies

Investigating Cause and Effect Relationships and Prioritizing of GM Assessment Indexes based on Economic, Resources, Energy and Environmental Attributes and PSR Framework using Gray DEMATAL

Nowadays the role of green manufacturing (GM) in sustainable development is evident and irrefutable therefore organizations seek to introduce themselves green in order to maintain their image toward their community. The usual method of sustainability and greenness assessment of a system is making use of indicators and indexes which are classified into several groups based on their characteristics. An important type of index categorization is based on four sustainability attributes including economic, energy, environment and recourses as well as pressure-state-response model (PSR). Because of the research gap about interactions relationships on indexes and investigating their influence others and influence by others. Since, indexes in each group could be effective on other indexes and be overlapped to some extent, it is necessary to prioritize and evaluate cause and effect relations by use of an appropriate method. We consider the relationship and prioritize most important indexes to evaluate manufacturing' greenness based on aforementioned sustainability attributes and PSR model. Purpose data is gathered by survey GM experts questionnaires, including 41 indexes plus 4 mentioned attributes, totally as 45 factors in 13 groups. In order to data analysis, with respect to the non-certainty and insufficient information, Grey DEMATEL method is used.Atualmente, o papel da manufatura verde (GM, Green Manufacturing) no desenvolvimento sustentável é evidente e irrefutável, portanto, as organizações procuram se apresentar “verdes” para manter sua imagem em sua comunidade. O método usual de avaliação da sustentabilidade e do verdor de um sistema é o uso de indicadores e índices que são classificados em vários grupos com base em suas características. Um tipo importante de categorização de índices é baseado em quatro atributos de sustentabilidade, incluindo econômico, energia, meio ambiente e recursos, além do modelo pressão-resposta-estado (PSR, Pressure-State-Response). Tendo em vista a lacuna de pesquisa sobre as relações de interações em índices faz-se necessário investigar a influência de outros e quais são influenciados por outros. Como os índices em cada grupo podem ser efetivos em outros índices e serem sobrepostos em certa medida, assim é essencial priorizar e avaliar as relações de causa e efeito pelo uso de um método apropriado. Consideramos o relacionamento e priorizamos os índices mais importantes para avaliar o verdor da manufatura com base nos atributos de sustentabilidade e no modelo de PSR. Os dados são coletados por questionários especializados em GM, incluindo 41 índices mais os 4 atributos mencionados, totalizando 45 fatores em 13 grupos. A fim de analisar os dados, no que diz respeito às informações não seguras e insuficientes, é utilizado o método Gray DEMATEL

The Bauhaus and its Contributions to Design with Suggestions for Improvement of Design in College Industrial Arts Programs

The study of the Bauhaus is threefold in purpose. The first purpose is to study the Bauhaus, located both in Germany and in the United States, and to identify its principles, curriculum, and methods of instruction used in improving design. The second purpose is to identify and present the contributions of this school to design, the third purpose is to suggest ways and means for improvement of design in college industrial arts programs