Citološka analiza endometrija kod krava s akutnim i kroničnim endometritisom.

The aim of the present study was to evaluate the findings of endometrial cytology in cows with acute and chronic endometritis. For this purpose samples were collected from 217 Brown Swiss and Holstein cows, housed on the Atatürk University Dairy Research Farm between the years 2010 and 2012, and they were stained with Giemsa for cytological examination. In the evaluation, overall 100 cells were counted in the microscopic area and the cells were classified as polymorph nuclear leukocyte, macrophage, lymphocyte and epithelial cells. The cytopathological classification was done according to the percentages of inflammatory cells. Briefly, 126 (58.06 %) samples had extensive inflammatory cells, and of the uterine samples 91 (41.94 %) had normal exfoliation. According to the cellular density results, acute, and chronic and subacute endometritis were described in 68 (31.33 %), 23 (10.60 %) and 35 (16.13 %) cases, respectively. In conclusion, endometrial cytology was found to be an applicable and reliable diagnostic method in diagnosis and diffentiation of acute and chronic endometritis.Cilj istraživanja bio je procijeniti citološke nalaze u endometriju krava s akutnim i kroničnim endometritisom. U tu su svrhu između 2010. i 2012. godine bili prikupljeni uzorci od 217 krava smeđe i holštajnske pasmine, uzgajanih na pokusnoj mliječnoj farmi na Sveučilištu Atatürk. Uzorci su bili obojeni Giemsinim bojenjem. Pri procjeni je u vidnom polju mikroskopa bilo izbrojeno ukupno 100 stanica kojesu razvrstane u polimorfononuklearne leukocite, makrofage, limfocite i epitelne stanice. Citopatološko razvrstavanje bilo je provedeno na osnovi postotka upalnih stanica. Ukratko, upalne stanice bile su ustanovljene u 126 (58,06 %) uzoraka, dok je u 91 (41,94 %) uzorku maternice ustanovljeno normalno ljuštenje stanica. Na osnovi stanične gustoće, akutni endometritis bio je dokazan u 68 (31,33 %) uzoraka, kronični u 23 (10,60 %), a subakutni u 35 (16,13 %) uzoraka. Zaključno, citologija endometrija pokazala se primjenjljivom i pouzdanom metodom u dijagnostici odnosno razlikovanju akutnog od kroničnog endometritisa

Dynamic analysis and design of a semiconductor supply chain: a control engineering approach

The combined make-to-stock and make-to-order (MTS-MTO) supply chain is well-recognised in the semiconductor industry in order to find a competitive balance between agility, including customer responsiveness and minimum reasonable inventory, to achieve cost efficiency while maintaining customer service levels. Such a hybrid MTS-MTO supply chain may suffer from the bullwhip effect, but few researchers have attempted to understand the dynamic properties of such a hybrid system. We utilise a model of the Intel supply chain to analytically explore the underlying mechanisms of bullwhip generation and compare its dynamic performance to the well-known Inventory and Order-Based Production Control System (IOBPCS) archetype. Adopting a control engineering approach, we find that the feedforward forecasting compensation in the MTO element plays a major role in the degree of bullwhip and the Customer Order Decoupling Point (CODP) profoundly impacts both the bullwhip effect and the inventory variance in the MTS part. Thus, managers should carefully tune the CODP inventory correction and balance the benefit between CODP inventory and bullwhip costs in hybrid MTS-MTO supply chains

Kutulu: A Domain-specific Language for Feature-driven Product Derivation

Software Product Line Engineering (SPLE) defines processes to facilitate the development of a family of products in a pre-defined market more effectively. Its success depends on implementation of these processes utilizing best practices with proper tool support. This paper describes how to enhance domain design and variation management processes of SPLE with a domain-specific language (DSL), namely "Kutulu". It also introduces novel modeling tools and dependency injection-based realization approach that are well-suited for product derivation in SPL. Our DSL definition, developed tools and their position in the product line context are put forth in this paper

On the use of model-driven engineering principles for the management of simulation experiments

Simulation experiments are an essential part of computational science and engineering. The use of simulation models is widely adopted by practitioners from diverse areas of applied sciences. Nevertheless, simulations are rarely replicated due to reuse and maintenance challenges related to models and data. In this respect, we propose that crucial and labor intensive parts of simulation experiments could be supported by model transformations. This work focuses on model-driven engineering practices to enable replicable and reusable simulation experiments. These practices are used to devote researchers' time to analyze the system under investigation rather than dealing with low level details to create a working environment. The results of our framework development work are presented

Ocular findings in coal miners diagnosed with pneumoconiosis

Objective: Our study aimed at evaluating ocular findings and structural changes in coal mine workers who were chronically exposed to coal mine dust and diagnosed with pneumoconiosis. Methods: Ocular findings of 161 eyes of 81 patients diagnosed with pneumoconiosis who had previously worked or are currently working in coal mines were analyzed. Forty-six coal mine workers and sex matched healthy people (n = 20) participated in the study. Workers who had early changes of pneumoconiosis were included in Group 1 (n = 17), workers diagnosed with pneumoconiosis were included in Group 2 (n = 29), and healthy subjects were included in Group 3 (n = 20). Outcome measures were the difference in peripapillary retinal nerve fiber layer (RNFL) thickness, choroidal thickness (CT), central macular thickness (CMT) and tear function tests between the groups. Results: RNFL thickness values in Group 1 and 2 were lower than in Group 3, the control group, in all quadrants except the temporal quadrant. However, there was no statistically significant difference in peripapillary RNFL thickness values in any quadrants among the three groups (p > 0.05). Central subfoveal choroidal thickness and CMT measurements were thinner in Group 1 and 2 than in the control group. However, this difference among groups was not statistically significant (p > 0.05). Mean schirmer's test result was 8.8 ± 1.6 mm in group 1, 7.1 ± 1.8 mm in Group 2 and 11.5 ± 3.6 mm in the control group. Mean tear break up time (BUT) test result was 7.1 ± 1.3 seconds (sec) in Group 1, 6.5 ± 1.8 sec in Group 2 and 10.4 ± 2.9 s in the control group. The Schirmer's test and BUT test results were both statistically significantly lower in coal mine workers (Group 1 and 2) compared to the control group. Group 1 and Group 2 did not show statistically significant difference in terms of Schirmer's test and BUT test results. Discussion: The association between pneumoconiosis and coal mine dust contiguity is thought to be due to the effect of coal dust by producing chronic inflammation. In addition, there are several trace elements in coal dust which are toxic to vital tissues. In this study, ocular findings suggest that systemic levels of trace elements and chronic inflammation may not reach to a level that influences ocular structures. Nonetheless, tear functions seem to be affected in coal mine workers. Conclusion: This study suggests that the systemic effect of coal mine dust in ocular structures is not evident. However, direct contact with coal mine and fume leads to a decrease in tear function tests. © 2016 Informa UK Limited, trading as Taylor & Francis Group

Does preeclampsia have any adverse effect on fetal heart?

PMID = 2638171

Purdue Ionomics Information Management System. An Integrated Functional Genomics Platform

The advent of high-throughput phenotyping technologies has created a deluge of information that is difficult to deal with without the appropriate data management tools. These data management tools should integrate defined workflow controls for genomic-scale data acquisition and validation, data storage and retrieval, and data analysis, indexed around the genomic information of the organism of interest. To maximize the impact of these large datasets, it is critical that they are rapidly disseminated to the broader research community, allowing open access for data mining and discovery. We describe here a system that incorporates such functionalities developed around the Purdue University high-throughput ionomics phenotyping platform. The Purdue Ionomics Information Management System (PiiMS) provides integrated workflow control, data storage, and analysis to facilitate high-throughput data acquisition, along with integrated tools for data search, retrieval, and visualization for hypothesis development. PiiMS is deployed as a World Wide Web-enabled system, allowing for integration of distributed workflow processes and open access to raw data for analysis by numerous laboratories. PiiMS currently contains data on shoot concentrations of P, Ca, K, Mg, Cu, Fe, Zn, Mn, Co, Ni, B, Se, Mo, Na, As, and Cd in over 60,000 shoot tissue samples of Arabidopsis (Arabidopsis thaliana), including ethyl methanesulfonate, fast-neutron and defined T-DNA mutants, and natural accession and populations of recombinant inbred lines from over 800 separate experiments, representing over 1,000,000 fully quantitative elemental concentrations. PiiMS is accessible at www.purdue.edu/dp/ionomics

The prevalence and significance of autoantibodies in patients with non-Hodgkin's lymphoma: are they correlated with clinicopathological features?

Purpose: It is well known that an association exists between the pathogenesis of lymphomas and autoimmune diseases. Autoantibodies are detected at higher frequency in lymphoproliferative diseases, but neither the precise role of the immune system nor the cause of this is comprehensively understood. In this study we evaluated the presence and significance of some autoantibodies for patients with non-Hodgkin's lymphoma (NHL)

Breast Density Assessment in Young Women with Ultrasound based on Speed of Sound: Influence of the Menstrual Cycle

To investigate changes in breast density (BD) during the menstrual cycle in young women in comparison to inter-breast and -segment changes as well as reproducibility of a novel Speed-of-Sound (SoS) Ultrasound (US) method.SoS-US uses a conventional US system with a reflector and a software add-on to quantify SoS in the retro-mammillary, inner and outer segments of both breasts. Twenty healthy women (18-40 years) with regular menstrual cycles were scanned twice with two weeks in-between. Three of these were additionally measured twice per week for 25 days. Average SoS (m/s) and ΔSoS (segment-variation SoS; m/s) were measured. Variations between follicular and luteal phases and changes over the four-week period were assessed. Inter-examiner and inter-reader agreements were also evaluated. Variances between cycle phases, examiners and readers were compared.No significant SoS difference was observed between follicular and luteal phases for the twenty women (P = .126), and between all different days for the three more frequently measured women (P = .892). Inter-reader (ICC = 0.999) and inter-examiner (ICC = 0.990) agreements were high. The SoS variance due to menstrual variations was not significantly larger than the inter-examiner uncertainty (P = .461). Inter-reader variations were significantly smaller than menstrual and examiner variations (P < .001).SoS-US showed high inter-examiner and inter-reader reproducibility. The alterations during the menstrual cycles were not significantly larger than the confidence interval of measurements

Supporting Simulation Experiments with Megamodeling

Recent developments in computational science and engineering allow a great deal of experimental work to be conducted through computer simulation. In a simulation experiment, a model of the phenomena to be studied is run in a computing environment under varying model and environment settings. As models are adjusted to experimental procedures and execution environments, variations arise. Models also evolve in time. Thus, models must be managed. We propose to bring Global Model Management (GMM) to bear on simulation experiment management by using techniques and tools from megamodeling. The proposed approach will facilitate model management tasks by providing an interface to query the model repository, relate models with each other, and apply model transformations from/to simulation models. Our proposed Megamodel for Simulation Experiments is based on SED-ML (Simulation Experiment Description Markup Language)