A Tentative Framework for Risk and Opportunity Detection in A Collaborative Environment Based on Data Interpretation

This article deals with the question of risk and opportunity identification based on data management as one main step of the convergence of artificial intelligence and industrial engineering. Two main subjects are addressed in this article: (i) the data management framework that could be the backbone for the whole approach, and (ii) the modeling theoretical background that could be used as a basement for the definition of a formal system for risk and opportunity modeling. The general principles presented in the article are used to define outlooks and to organize them as milestone of a roadmap

The relation between of insulin like growth factor II and endometrial carcinoma

Background: Endometrial cancer is the most common gynecologic malignancy in the United States and the fourth most common cancer in women. The need of a soft marker that can be used with CA-125 tumor marker for early detection of endometrial cancer and to predict late stages and advanced histopathological grades and to specify the cases who will be managed by complete surgical staging including para aortic and pelvic lymphadenectomy is of great importance. The aim of the study was to evaluate the role of insulin like growth factor 2 in endometrial carcinoma and to correlate it with different histopathological grades of the disease.Methods: This study was applied on sixty patients with abnormal uterine bleeding and were divided into two groups, Group A included 30 cases of endometrial carcinoma, while Group B included 30 cases complaining of abnormal vaginal bleeding due to other causes as a control group. Serum samples were taken from all patients and estimation of IGF-2 serum levels using ElISA technique was done. Comparison of IGF-2 serum level between both groups and correlation of its levels with different histopathological grades of endometrial cancer group were done.Results: As regard comparison between both groups and ILGF2 serum level, study results demonstrated that ILGF2 levels ranged between 600.0-1440.0 ng/ml and 40.0-560.0 ng/ml with the mean of 781.33 ng/ml±196.45 and 336.0 ng/ml±212.86 for cases Group A and control Group B respectively. There was a statistically significant difference between the two studied groups regarding ILGF2 serum level (p<0.001). As regards correlation between histopathological grades and ILGF-2 serum level in cases Group A, the study revealed a strong positive correlation.Conclusions: ILGF-2 can be used as a serum marker for endometroid adenocarcinoma of the body of the uterus and to predict its higher histopathological grades

The Role of Intravenous Immunoglobulins in Decreasing the Need for Exchange Transfusion in Neonates with Isoimmune Haemolytic Jaundice

Abstract: Background: Neonatal Jaundice secondary to isoimmune haemolytic anemia (Rh and ABO incompatibility) is a cause of high serum bilirubin level due to haemolysis of red blood cells secondary to transplacental passage of antibodies. Intravenous immunoglobulins (IVIG) have been successfully used in isoimmune hemolytic jaundice and were found to decrease hemolysis leading to reduction in serum bilirubin level and subsequently decreasing the need for exchange transfusion. Patients and methods: This study was conducted on 30 full term neonates with isoimmune-hemolytic jaundice admitted in the neonatal intensive care units in New Children&apos;s hospital, Cairo University. They were randomly classified into 2 groups Group I: &quot;Study group&quot; (15) neonates presented with isoimmune hemolytic jaundice treated by phototherapy + single dose of I.V immunoglobulin infusion (0.5 gm/Kg). Group II: &quot;Control group&quot

Case Study in Refractory Non-Hodgkin's Lymphoma: Successful Treatment with Plerixafor

The present case study describes our experience in treating a young woman diagnosed with a relapsing case of diffuse large cell lymphoma, who was heavily pre-treated with chemotherapy and radiotherapy. Our only chance to improve her survival was by using high-dose chemotherapy, followed by peripheral stem cell rescue. Unfortunately, in this patient, collecting sufficient stem cells for bone marrow transplantation proved to be very difficult since she had already been heavily treated with chemotherapy and radiotherapy. Currently, granulocyte colony-stimulating factor (G-CSF) alone or G-CSF plus chemotherapy are the most commonly used treatments for stem cell mobilization. However, 5–30% of patients do not respond to these agents. Plerixafor is a new hematopoietic stem cell-mobilizing drug that antagonizes the binding of chemokine stromal cell-derived factor-1α to CXC chemokine receptor 4. It is indicated in combination with G-CSF to mobilize hematopoietic stem cells to the peripheral blood for collection and subsequent autologous transplantation in patients with non-Hodgkin's lymphoma and multiple myeloma [Kessans et al.: Pharmacotherapy 2010;30:485–492; Jantunen: Expert Opin Biol Ther 2011;11:1241–1248]. Based on our findings, we consider plerixafor to be a very efficient and practical solution to mobilize and collect stem cells among all patients in such a situation, enabling us to proceed to autologous bone marrow transplantation and peripheral stem cell rescue in order to improve the patients’ overall survival

Caractérisation des organisations et des réseaux émergents pour détecter et anticiper les opportunités de collaboration

The concept of collaborative networks is encountered very frequently these days as a response to the need to adapt and enhance business performance in this tremendously competitive commercial environment. A considerable body of knowledge has been gathered in the field of collaborative networks so far, from defining types of network and partnership levels to proposing models for partnership developments. But most of these efforts have not addressed a very vital obstacle, which is the difficulty of detecting and predicting collaboration possibilities between enterprises. There is a need for enterprises to outline, assemble and build their collaborations and optimize their partnership choices for as much mutual benefit as possible. Thus, the aim of this research is to propose a solution for suggesting potential collaboration candidates between enterprises to help improve their businesses and to benefit from each other as much as possible. This solution is based on a periodic table of industrial types. This table contains KPI classifications as well as defined collaboration types. An explanation of the characterization of an enterprise/organization profile, collaboration benefits, limitations, and types of collaboration networks is also included. Finally, an illustrative case is used to formulate and discuss the steps for collaboration detection.Le concept de réseaux collaboratifs est très fréquemment rencontré ces jours-ci en réponse à la nécessité d'adapter et d'améliorer la performance des entreprises dans cet environnement commercial extrêmement concurrentiel. Un corpus considérable de connaissances a été accumulé jusqu'à présent dans le domaine des réseaux collaboratifs, de la définition des types de réseaux et des niveaux de partenariat à la proposition de modèles de développement de partenariats. Mais la plupart de ces efforts n'ont pas abordé un obstacle très vital, qui est la difficulté de détecter et de prévoir les possibilités de collaboration entre les entreprises. Il est nécessaire que les entreprises définissent, assemblent et construisent leurs collaborations et optimisent leurs choix de partenariat pour autant d'avantages mutuels que possible. Ainsi, le but de cette recherche est de proposer une solution pour suggérer des candidats potentiels de collaboration entre entreprises pour aider à améliorer leurs activités et à profiter au maximum les unes des autres. Cette solution est basée sur un tableau périodique des types industriels. Ce tableau contient les classifications des KPI ainsi que les types de collaboration définis. Une explication de la caractérisation d'un profil d'entreprise / organisation, des avantages de la collaboration, des limites et des types de réseaux de collaboration est également incluse. Enfin, un cas illustratif est utilisé pour formuler et discuter des étapes de détection de collaboration

A Theoretical Approach for Detecting and Anticipating Collaboration Opportunities

International audienceThe concept of collaborative networks has been encountered very frequently these days as the reply when trying to adapt and enhance enterprises in this tremendously competitive commercial environments. A lot of knowledge has been gathered for collaborative networks so far, from defining network kinds to levelizing partnerships and also proposing models for partnership developments. But most of these efforts didn’t tackle a very vital obstacle which is detecting and predicting collaboration possibilities between enterprises. In this paper, a new enterprise characteristics classification is proposed, which will be used as a profile for characterizing enterprises susceptible to take part in a collaborative network. The proposed detection approach is based on the enterprise characteristics concept as well as collaboration network types. Also a hypothesis to rank the potential partners using KPIs is shown along with the big picture of this approach accompanied by the future work that has to be done

The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements

The concept of collaborative networks has been encountered very often lately as the answer when trying to adapt and improve enterprises in these highly competitive business environments, therefore the urge for constantly addressing this topic. A lot of work-related to collaborative networks has been done so far, from defining network types to leveling partnerships and proposing models for partnership developments. But the lack of tackling a very important obstacle, which is the difficulty of detecting and anticipating collaboration opportunities between enterprises, inspired this research. In this article, a new theoretical opportunity detection approach is proposed based on enterprise characterization concept, KPI classification as well as collaboration types. This detection approach is a table of industrial classifications that imitates the Mendeleev periodic table from the concept point of view. A fictional example from an industrial context is shown to explain the usage of this approach accompanied by discussion about future work and limitations

Effect of manual physical therapy on sleep quality and jaw mobility in patients with bruxism: A biopsychosocial randomized controlled trial

This study aimed to investigate the effects of deep-stripping and trigger-point pressure release massage on the Pittsburgh Sleep Quality Index (PSQI), jaw mobility, and pressure pain threshold (PPT) of masticatory muscles in patients with sleep bruxism. A randomized controlled trial was conducted among 45 patients diagnosed with sleep bruxism. The patients were randomly assigned to three groups. Group I was the control group and included five men and 10 women; Group II was the deep-stripping massage group, which included two men and 13 women; and Group III was the pressure release group, which involved four men and 11 women. Patients were tested two times, before and after 6 weeks. Group I received transcutaneous electrical nerve stimulation and passive stretching; Group II received a deep-stripping massage; and Group III received a trigger-point pressure release massage. Findings revealed significant improvements in PSQI (p = 0.0001), jaw opening (p = 0.0001), jaw protrusion (p = 0.0001), jaw left lateral movement (p = 0.004), jaw retraction (p = 0.0001), right temporalis PPT (p = 0.0001), left temporalis PPT (p = 0.0001), right master PPT (p = 0.001), left master PPT (p = 0.001), right lateral pterygoid PPT (p = 0.001), left lateral pterygoid PPT (p = 0.001), right digastric muscle PPT (p = 0.001), and left digastric muscle PPT (p = 0.001) in the post-test condition in Group II compared with Group I and Group III. Deep-stripping massage improved PSQI, jaw mobility, or PPT of the masticatory muscles compared with trigger-point pressure release massage and traditional treatment techniques in patients with sleep bruxism