OFFLOAD SERVER SELECTION BASED ON USER EQUIPMENT ROUTE SELECTION POLICY

Many applications offload inference processing from the mobile devices running the applications to Internet datacenters. By using a side link to realize proximity-based work task offloading, the data rate on the Uu interface does not need to be increased while the original device’s computation load is offloaded. This leads to battery savings in the device. Techniques described herein outline efficient ways for a device to discover an offload server for offloading processing

REDIRECTION OF USER DEVICES TO ALTERNATIVE VPLMNS DURING CAPACITY OVERLOAD

Techniques described herein provide for temporarily redirecting a user device to a partner VPLMN when a current serving VPLMN is congested. In particular, the serving network indicates to a Home Public Land Mobile Network (HPLMN) that a congestion condition has occurred so that the HPLMN can trigger redirection of UEs to a different VPLMN. In addition, a UE may inform the HPLMN about poor QoS so that the HPLMN can redirect the UE to different VPLMN. Furthermore, the HPLMN may redirect the UE to a desired VPLMN temporarily without modifying its Roaming Priority List (RPL) information in the Universal Subscriber Identity Module (USIM)

AMF SELECTION AND SIGNALLING FOR AMF RECOVERY IN AN ENHANCED SERVICE-BASED ARCHITECTURE UTILIZING INDIRECT COMMUNICATIONS IN 5G NETWORKS

Access and Mobility Management Function (AMF) sets and regions, as defined in Release 15 of Third Generation Partnership Project (3GPP) standards, provide for the hierarchical organization of AMFs in which an AMF can belong to a set, and different AMF sets can belong to an AMF region. When an AMF fails, a peer can then search for an AMF in the same set, and if that fails, can then search for an AMF in the same region. 3GPP Release 16 standards introduced the indirect communications that can involve a Service Communication Proxy (SCP). However, the hierarchical discovery of an AMF by an SCP is not fully described in standards. Thus, when AMF reselection is performed through an SCP, information indicating that reselection has occurred and which old AMF was hosting certain user equipment (UE) is not send to the new AMF, which can lead to race conditions. Presented herein are techniques to address such issues through the incorporation of additional information that can be appended to messaging provided to an SCP that can allow the SCP to perform AMF reselection and send the additional information to a newly selected AMF, which allows the new AMF to detect and resolve such race conditions

Enhanced renewable energy adoption for sustainable development in India:interpretive structural modeling approach

Poverty alleviation and social upliftment of rural India is closely linked with the availability and use of energy for development. At the same time, sustainable supply of clean and affordable renewable energy sources is required if development is to be sustainable, so that it does not cause any environmental problems. The purpose of this paper is to determine the key variables of renewable energy implementation for sustainable development, on which the top management should focus. In this paper, an interpretive structural modeling (ISM) - based approach has been employed to model the implementation variables of renewable energy for sustainable development. These variables have been categorized under ‘enablers’ that help to increase the implementation of renewable energy for sustainable development. A major finding of this research is that public awareness regarding renewable energy for sustainable development is a very significant enabler. In this paper, an interpretation of variables of renewable energy for sustainable development in terms of their driving and dependence powers has been examined. For better results, top management should focus on improving the high-driving power enablers such as leadership, strategic planning, public awareness, top management support, availability of finance, government support, and support from interest groups

Fetomaternal outcome in breech delivery

Background: Breech Presentation is the commonest of all malpresentations. Vaginal delivery of the breech presentations at term is associated with a much higher perinatal mortality and morbidity than that of vertex presentation. The objectives of the present study are to know the common causes leading to breech presentation. Further, to compare the different management protocols and outcome in different types of breech presentation.  Also, to know the perinatal morbidity and mortality associated with different types of breech presentation nd comparison of perinatal morbidity and mortality with vaginal delivery against cesarean section.Methods: This is a retrospective study of randomized 100 cases of pregnant women in labour with breech presentations after 28 weeks or more attending C U Shah Medical College, Surendranagar, over a period of May 2012 to April 2014.Results: Out of 100 patients breech presentation was more common in booked patients and multigravida. In primi and multigravidae patients, caesarean delivery was more compared to assisted breech delivery. Perinatal outcome was good in majority of the patients in both extended and complete breech with an incidence of 94% and 88% respectively. perinatal outcome was good in caesarean section with 100% compared to assisted breech delivery 93%.Conclusions: The balanced decision about the mode of delivery on a case by case basis as well as conduct, training and regular drills of assisted breech delivery will go a long way to optimize the outcome of breech presentation like ours. Delivery of breech fetus when labor and delivery is supervised and or conducted by experienced obstetrician lowers maternal morbidity, neonatal morbidity and mortality

A Clinical Score to Predict Dose Reductions of Antidiabetes Medications with Intentional Weight Loss: A Retrospective Cohort Study.

Abstract Background We assessed the predictive accuracy of an empirically-derived score (weight loss, insulin resistance, and glycemic control: “WIG”) to predict patients who will be successful in reducing diabetes mellitus (DM) medication use with weight loss. Methods Case records of 121 overweight and obese patients with DM at two outpatient weight management centers were analyzed. Results Mean period of follow-up was 12.5 ± 3.5 months. To derive the “WIG” scoring algorithm, one point each was assigned to “W” (loss of 5% of initial body weight within the first 3 months of attempting weight loss), “I” (triglyceride [TGL]/highdensity lipoprotein ratio \u3e3 [marker of insulin resistance] at baseline), and “G” (glycosylated hemoglobin [A1c%] \u3e8.5 at baseline). WIG score showed moderate accuracy in discriminating anti-DM dose reductions at baseline, and after 3 months of weight loss efforts (likelihood ratios [LR] + \u3e1, LR−0.7), and demonstrated good reproducibility. Conclusions WIG score shows promise as a tool to predict success with dose reductions of antidiabetes medications. Keywords Clinical score; Diabetes mellitus; Insulin resistance; Obesit

Beta-Adrenergic Receptor Mediated Transcriptional Dysregulation in Hematopoeitc Stem and Progenitor Cells Leads to Bone Marrow Erythroid Suppresion in Multiple Myeloma Patients - Ex Vivo Investigations

The sympathetic nervous system (SNS) regulates our body’s involuntary response to stress or harm. Once activated, it releases hormones and neurotransmitters known as catecholamines throughout the body to mediate its recovery. The catecholamines bind to adrenergic receptors located on various cells in a process designated as adrenergic signaling to elicit this response. This process is not always to our benefit. Adverse symptoms such as anemia can result due to adrenergic signaling. Our laboratory previously showed that burn injury triggers adrenergic receptor stimulation resulting in anemia induced by diminished erythropoiesis. The development of anemia in these studies was found to be due to a myeloid bias amongst the hematopoietic stem and progenitor cells (HSPCs) in the bone marrow (BM). A myeloid bias entails HSPCs being skewed towards a myeloid lineage commitment versus an erythroid lineage commitment. This results in less development of megakaryocyte-erythrocyte-progenitors (MEPs), which are precursors to mature erythrocytes. The driving factor behind this myeloid commitment was the negative correlation between the transcription factors MAFB and GATA1. It was identified that MAFB expression increased due to adrenergic signaling and this caused GATA1 a crucial erythroid developmental factor to decrease in expression. Through reading several articles we found that a similar anemic response was occurring in multiple myeloma (MM) patients and questioned if our conclusions discovered from our burn studies could be applied. MM is an incurable hematological malignancy characterized by the numerous plasma B cell lesions in the BM. In this study, we established the prevalence of the myeloid bias within the context of MM BM patient samples. Additionally, we confirmed the presence of adrenergic receptors on HSPCs and the predominant receptor subtype that when stimulated leads to a myeloid bias. Lastly, we elucidated the role of MAFB and GATA1 in our MM patients and found that adrenergic stimulation contributes significantly to the myeloid bias. All studies were conducted ex-vivo using BM aspirates that were then placed in cultures containing a growth factor cocktail to enhance the proliferation and survival of our HSPCs. Adrenergic agonist and antagonists along with myeloma cell isolation were used to determine significance of adrenergic stimulation on myeloid bias

Studies on Anticancer Effect of Methanolic Leaf Extract of Justicia gendarussa on Lung Cancer Cell Line

ObjectiveThe aim of study’s goal was to look into the anticancer efficacy of a methanolic extract of Justicia gendarussa against a lung cancer cell line. Materials and MethodsCell viability assays and cell and nuclear morphology examinations were used to evaluate the anticancer efficacy against methanolic extract of Justicia gendarussa on lung cancer cell lines. The IC50 doses were calculated using different concentrations of Justicia gendarussa extract (0, 10, 20, 40, 60, and 80 μg/mL). ResultsThe results of MTT (3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyl-tetrazolium bromide) assay revealed that the percentage of viability in treated cells was significantly lower as compared with untreated control groups, which represented as 100%, and an inhibitory concentration of 40 μg/mL was observed. Under a phase-contrast microscope, morphological changes revealed cell shrinkage and cytoplasmic membrane blebbing. The apoptotic nuclei (intensely colored, broken nuclei, and compacted chromatin) were examined under a fluorescence microscope. ConclusionsThe outcome of the research work on Justicia gendarussa was investigated for anticancer properties. The results revealed the proapoptotic and cytotoxic effects of Justicia gendarussa extract on lung cancer cell lines. From the above results and findings, it could be concluded that the Justicia gendarussa methanolic leaf extract exhibited potent anticancer activity against a lung cancer cell line. Further study needs to be conducted to investigate the active chemicals in the extract as well as the molecular mechanisms underlying its anticancer benefits

Native T1 mapping in diffuse myocardial diseases using 3-Tesla MRI: An institutional experience

Aims: Newer cardiac magnetic resonance techniques like native T1 mapping are being used increasingly as an adjunct to diagnose myocardial diseases with fibrosis. However, its full clinical utility has not been tested extensively, especially in the Indian population. The purpose of this study was to find native T1 values in healthy individuals without cardiac disease in our 3-Tesla MRI system and examine whether native myocardial T1 values can be used to differentiate between normal and diffuse myocardial disease groups. Subjects and Methods: After approval from the institutional ethics committee, native T1 mapping was performed in 12 healthy individuals without cardiac disease who served as controls and in 26 patients with diffuse myocardial diseases (acute myocarditis (n = 5), hypertrophic cardiomyopathy (HCM) (n = 8), nonischemic dilated cardiomyopathy (DCM) (n = 7), restrictive cardiomyopathy (RCM) due to amyloidosis (n = 6)) in a 3-Tesla MRI system in short axis slices and four-chamber view using a modified Look-Locker inversion recovery sequence. The mean native T1 values and standard deviations were calculated for control and disease groups and compared. The ability of native myocardial T1 mapping to differentiate between normal and diffuse myocardial disease groups was assessed. One-way ANOVA with Tukey’s Post-Hoc test was used to find significant difference in the multivariate analysis and Chi-Square test was used to find the significance in categorical data. Results: The native T1 values for the healthy group in our 3-Tesla MRI system was 1186.47 ± 45.67 ms. The mean T1 values of the groups acute myocarditis (1418.68 ± 8.62 ms), HCM (1355.86 ± 44.67 ms), nonischemic DCM (1341.31 ± 41.48 ms), and RCM due to amyloidosis (1370.37 ± 90.14 ms) were significantly higher (P = 0.0005) than that of the healthy control group. Conclusion: Native myocardial T1 mapping is a promising tool for differentiating between healthy and diffuse myocardial disease groups

Analysis of interactions among variables of renewable energy projects: A case study on renewable energy project in India

713-720This study highlights the variables associated with the implementation of renewable energy (RE) projects for sustainable development in India, by using an interpretive structural modeling (ISM) - based approach to model variables’ interactions, which impact RE adoption. These variables have been categorized under enablers that help to enhance implementation of RE projects for sustainable development. A major finding is that public awareness regarding RE for sustainable development is a very significant enabler. For successful implementation of RE projects, it has been observed that top management should focus on improving high driving power enablers (leadership, strategic planning, public awareness, management commitment, availability of finance, government support, and support from interest groups)