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Table S1: OMP-59R5 binding data as assessed by surface plasmon resonance (Biacore); Table S2. Histopathology of human pancreatic tumors; Table S3. Effect of anti-Notch2/3 antibody OMP-59R5 in combination with gemcitabine on growth of pancreatic xenograft tumors and its association with Kras mutation status and molecular subtypes; Table S4. Gene Set Enrichment Analysis; Table S5. Effects of OMP-59R5 on Mouse Gene Expression in the Stroma of Xenograft Tumors.

Purpose: The Notch pathway plays an important role in both stem cell biology and cancer. Dysregulation of Notch signaling has been reported in several human tumor types. In this report, we describe the development of an antibody, OMP-59R5 (tarextumab), which blocks both Notch2 and Notch3 signaling.Experimental Design: We utilized patient-derived xenograft tumors to evaluate antitumor effect of OMP-59R5. Immunohistochemistry, RNA microarray, real-time PCR, and in vivo serial transplantation assays were employed to investigate the mechanisms of action and pharmacodynamic readouts.Results: We found that anti-Notch2/3, either as a single agent or in combination with chemotherapeutic agents was efficacious in a broad spectrum of epithelial tumors, including breast, lung, ovarian, and pancreatic cancers. Notably, the sensitivity of anti-Notch2/3 in combination with gemcitabine in pancreatic tumors was associated with higher levels of Notch3 gene expression. The antitumor effect of anti-Notch2/3 in combination with gemcitabine plus nab-paclitaxel was greater than the combination effect with gemcitabine alone. OMP-59R5 inhibits both human and mouse Notch2 and Notch3 function and its antitumor activity was characterized by a dual mechanism of action in both tumor and stromal/vascular cells in xenograft experiments. In tumor cells, anti-Notch2/3 inhibited expression of Notch target genes and reduced tumor-initiating cell frequency. In the tumor stroma, OMP-59R5 consistently inhibited the expression of Notch3, HeyL, and Rgs5, characteristic of affecting pericyte function in tumor vasculature.Conclusions: These findings indicate that blockade of Notch2/3 signaling with this cross-reactive antagonist antibody may be an effective strategy for treatment of a variety of tumor types. Clin Cancer Res; 21(9); 2084–95. ©2015 AACR.

Figure S1A. Binding affinities of OMP-59R5 to human (h) Notch1-4 receptors; Figure S1B. Alignment of the EGF repeats 10-15 of Notch2 and 9-14 of Notch3 from human (h), cynomolgus monkey (cyno), and mouse (m); Figure S2. Human NOTCH1, NOTCH2 and NOTCH3 gene in patient-derived primary xenograft tumors; Figure S3. Effect of OMP-59R5 on tumor growth of individual animals in OMP-PN8 and OMP-PN17 xenografts (from Figure 2); Figure S4A. Effect of OMP-59R5 on goblet cells; Figure S4B. Effect of OMP-59R5 on teeth in NOD/SCID mice; Figure S5. Effect of OMP-59R5 on (a) gene expression, (b) Human vimentin IHC (c) Western blot of Notch3 transmembrane domain (TM) and Notch3 intracellular domain (ICD) protein levels and (d) Quantitation of Notch1 ICD staining intensity levels in pancreatic xenograft tumors; Figure S6A. Effect of OMP-59R5 in combination with gemcitabine or gemcitabine/nab-paclitaxel in OMP-PN8 xenograft tumors; Figure S6B. Effect of OMP-59R5 in combination with gemcitabine/nab-paclitaxel on body weight change in OMP-PN8 xenograft tumor-bearing NOD/SCID mice (from Figure 4B); Figure S6C. Activity of OMP-59R5 in combination with nab-paclitaxel plus gemcitabine in OMP-PN16; Figure S8A. Perfused vessels are associated with the presence of desmin; Figure S8B. Quantification of perfused blood vessels; Figure S8C. Targeting DLL4/Notch signaling and Notch2/3 signaling has opposite effect on tumor stroma/vasculature; Figure S7A. Anti-tumor effect of OMP-59R5 in SCLC tumors; Figure S7B. Effect of OMP-59R5 on Notch3 ECD and Notch3 ICD expression in UM-PE13 xenograft tumors; Figure S7C. Limiting Dilution Assay

Supplemental Tables include a list and brief description of xenograft models used in the study, the RSPO1-4 gene expression profile and beta-catenin activation status of all xenograft models, and the microarray analysis for 4 CRC xenograft models after treatment with anti-RSPO3 antibody.

Supplemental figure legends also include brief methods where appropriate.

Deregulation of the β-catenin signaling has long been associated with cancer. Intracellular components of this pathway, including axin, APC, and β-catenin, are frequently mutated in a range of human tumors, but the contribution of specific extracellular ligands that promote cancer development through this signaling axis remains unclear. We conducted a reporter-based screen in a panel of human tumors to identify secreted factors that stimulate β-catenin signaling. Through this screen and further molecular characterization, we found that R-spondin (RSPO) proteins collaborate with Wnt proteins to activate β-catenin. RSPO family members were expressed in several human tumors representing multiple malignancies, including ovarian, pancreatic, colon, breast, and lung cancer. We generated specific monoclonal antibody antagonists of RSPO family members and found that anti-RSPO treatment markedly inhibited tumor growth in human patient-derived tumor xenograft models, either as single agents or in combination with chemotherapy. Furthermore, blocking RSPO signaling reduced the tumorigenicity of cancer cells based on serial transplantation studies. Moreover, gene-expression analyses revealed that anti-RSPO treatment in responsive tumors strongly inhibited β-catenin target genes known to be associated with cancer and normal stem cells. Collectively, our results suggest that the RSPO family is an important stimulator of β-catenin activity in many human tumors and highlight a new effective approach for therapeutically modulating this fundamental signaling axis. Cancer Res; 76(3); 713–23. ©2015 AACR.

Supplemental figures include the RSPO gene expression analysis for CRC models, the in vitro testing of anti-RSPO antibodies on RSPO-negative tumors, the IHC analysis of anti-RSPO3+chemo-treated ovarian tumors, the LGR, ZNRF3, and RNF43 gene expression profile in therapy responsive and non-responsive PDXs, the in vivo resistance of RSPO-negative tumors to RSPO blockade, the analysis of CSC frequency in anti-RSPO3-treated NSCL and pancreatic PDXs, and the IHC detection of CD44 in anti-RSPO3-treated CRC tumors.

International audience; Access to vaccination against a health threat such as that presented by the COVID-19 pandemic is an imperative driven, in principle, by at least three compelling factors: (1) the right to health of all people, irrespective of their status; (2) humanitarian need of undocumented migrants, as well as of others including documented migrants, refugees and displaced people who are sometimes vulnerable and living in precarious situations; and (3) the need to ensure heath security globally and nationally, which in the case of a global pandemic requires operating on the basis that, for vaccination strategies to succeed in fighting a pandemic, the highest possible levels of vaccine uptake are required. Yet some population segments have had limited access to mainstream health systems, both prior to as well as during the COVID-19 pandemic. People with irregular resident status are among those who face extremely high barriers in accessing both preventative and curative health care. This is due to a range of factors that drive exclusion, both on the supply side (e.g., systemic and practical restrictions in service delivery) and the demand side (e.g., in uptake, including due to fears that personal data would be transmitted to immigration authorities). Moreover, undocumented people have often been at increased risk of infection due to their role as "essential workers", including those experiencing higher exposure to the SARS-CoV-2 virus due to frontline occupations while lacking protective equipment. Often, they have also been largely left out of social protection measures granted by governments to their populations during successive lockdowns. This article reviews the factors that serve as supply-side and demand-side barriers to vaccination for undocumented migrants and considers what steps need to be taken to ensure that inclusive approaches operate in practice.

This paper presents a hierarchical-hybrid architecture for Volt/Var control of distribution grids in the presence of high penetration of distributed generators (DGs). The architecture includes three layers with specific operational goals associated with each layer based on data resolution, communication network, and control device response time. The top layer carries out central optimization and seeks to minimize power losses via optimal 15-minute scheduling of load tap changers (LTCs), voltage regulators (VRs), and capacitor banks (CBs), and DGs. The middle layer ensures voltage regulation using a distributed approach for reactive power provisioning by fast response DGs. The bottom layer carries out local decision making that enlists edge intelligence to operate LTCs, VRs and CBs to cope with fast and real-time changes in DGs and loads. The top layer generates overall references for the lower layers optimized over a 24-hour horizon, updated at 15-minute intervals, which are then suitably corrected at faster time-scales of seconds in the middle and bottom layers. Appropriate coordination is introduced between each layer so as to meet combined goals of optimization and accommodation of load and generation uncertainties in near real-time. The proposed method is validated using a modified IEEE 34 bus test feeder and at 80% penetration of DGs.

Diabetes is a chronic disease caused by the assimilation of blood sugar, mainly because of reduced production or no production of insulin within the body (type 1 diabetes), or because cells are irresponsive to the produced insulin (type 2 diabetes). In recent years, a multitude of people turned out to be diabetic and is increasing drastically. Moreover, a report by World Health Organization describes 346 million people are affected by diabetes around the world. Furthermore, the lack of a self-care system for monitoring and detecting signs at an early stage in the patient’s data causes pre-diabetes or diabetes condition which remains unrevealed in more than one-third of the population and later diagnosed with diabetes. The combination of machine learning techniques and the Internet of Things can provide an effective solution to predict diabetes well before. Therefore, this paper presents an Internet of Things (IoT) and Machine Learning-based non-invasive self-care system which monitors blood sugar and various vital parameters to predict diabetes well before. The non-invasive way of measuring blood sugar through a developed IoT sensor is much more comfortable compared to the invasive method. In the proposed system deployment of the SVM-based machine learning model on the cloud and its integration with the android application enables doctors and patients to monitor the vital parameters and associated risk easily. In addition to this, monitored parameters are sent to the doctor through email for further analysis, and suggestions in diet and lifestyle based on the monitored parameters are conveyed to the patient through an android application to prevent or reduce the risk of diabetes. Thus, the proposed self-care system can overcome challenges of the traditional way of monitoring diabetes and helps patient and doctor in monitoring, recording, and analyzing data for the prognosis of diabetes.

Background This paper studies the evolution of transitions from first cigarette use to daily use by socioeconomic status (SES) among French adolescents over the course of 17 years, in a context of decreasing prevalence of tobacco use. Methods A total of 182 266 adolescents participated in the nationally representative ESCAPAD survey at nine different time points between 2000 and 2017. Discrete time-event analysis was used to model the transition to daily cigarette use as a function of SES, gender, age at onset and the use of other psychoactive substances. Results Although lifetime cigarette smoking and daily cigarette smoking decreased significantly over the studied time span, suggesting a positive impact of prevention policies, disadvantaged adolescents were consistently more prone to engage in daily cigarette smoking, more so in 2017 than 15 years earlier. In the same time span, transitions from initiation to daily cigarette smoking have shortened, with an accelerated pace among underprivileged adolescents. Conclusions Accelerated transitions from initiation to daily cigarette use are a prevalent trend among disadvantaged adolescents in France. Efforts to mitigate the impact of marketing strategies and to promote health literacy should be pursued to reduce social inequalities in health.

BackgroundThe increasing use of doping by youth is a growing public health concern. The present study aimed to calculate robust estimates of the prevalence of doping among French high school students and study factors related to the use of licit vs. banned agents.MethodsThe European School Project on Alcohol and other Drugs (ESPAD), a nationally representative school-based survey, was distributed across France from April to May 2015, generating a final sample size of 6642 students. Multilevel modelling was used to examine covariates of doping to enhance athletic performance in sport in this population.ResultsOverall, 2.3% of students used banned agents, and 6.1% used licit and banned substances to improve athletic performance. Significant gender differences existed for both, with males more prone to doping than females. Our findings provide support for the existing gateway hypothesis that nutritional supplementation leads to doping banned agents. Multilevel modelling revealed the presence of both school and class-level influences on individual use of licit substances, vs. solely class-level factors impacting the use of banned agents, suggesting a strong peer-effect.ConclusionsThese findings support the need to engage in early doping prevention through high schools. Programmes should draw attention to the role of licit substances, including nutritional supplementation, in the progression to using banned agents and encompass the continuum of adolescent risk taking through a behaviour-based approach to doping prevention.

Purpose The purpose of this paper is to understand the dynamics of pleasure related to chemsex from the perspective of French gay men and other men who have sex with men (MSM). Recognising that participants in chemsex are social actors, the authors diverge from the prominent “pathology paradigm” used in public health. Design/methodology/approach In-depth interviews were conducted with gay men and other MSM engaging in chemsex via snowball sampling (n=33). The authors explored the definitions of pleasure and the role of stimulants, sexual activity, smartphones and partners in chemsex pleasures. Findings Chemsex pleasures encompass multiple dimensions that go far beyond bodily pleasures, such as love or romantic relationships, socializing with significant others and sexual discovery through disinhibition. Narratives of pleasure were also, simultaneously, stories of suffering and distress. This dissonance can pose challenges to the participants in chemsex, their entourages and care providers. Practical implications Given that the focus of care for gay men and other MSM is on risk behaviors, the findings of this paper help nurture discussions where pleasure is integrated into a new, value-neutral framework of care that incorporates chemsex pleasures. Originality/value This study examined the perspectives of those actually participating in chemsex, allowing gay men and other MSM to relate the entirety of their experiences, in which pleasure is often at the forefront, without restriction.

This exploratory analysis of time-series cross-sectional data provides insights on trends in age at first injection among people who inject drugs in France, and on associations with recent risky injecting behaviors. Data were collected from a national survey conducted in harm reduction facilities in five phases between 2006 and 2015. Standardized questionnaires collected information on demographics, substance use, and route of administration, as well as lifetime and past-month injection. Descriptive and multilevel models were applied to account for the hierarchical structure of the data. Prevalence of lifetime and past-month injection remained stable over time, while the prevalence of daily injection increased significantly. Mean age at first injection only appeared to increase for data collected after 2010. Gender differences in mean age at first injection decreased over time, suggesting the development of converging patterns of initiation independent of sex. After controlling for covariates, early initiation of injection was unrelated to daily injection or material sharing, and associated with the number of recently injected substances. Early initiation is likely a predictor of injected polysubstance use. Findings are relevant to the planning, implementation, and evaluation of prevention programs.

In the last few years, deep learning is one of the powerful technique, used for image recognition. Among the various kinds of deep neural networks, Convolutional Neural Network (CNN) nowadays has been widely used for the purpose of image recognition. In this work, we present the customized model developed for feature extraction of medical packages. Now a days, it is difficult to distinguish an original medicine from counterfeit. The proposed model based on CNN can be useful in identifying the original medicine which forms the first step in the process to identify counterfeits. The medicine images are used as dataset for feature extraction and image classification. Medicine package shape, edges and colour are used for feature extraction of customized model. Classification is done to distinguish medicines which is of same colour and differs in their name, printed text, barcode and the company logo. One of the popular pre-trained CNN architecture model VGG-19 is used for comparing the results of developed customized model. Customized model consists of only five layers convolution layer, maxpooling layer, dropout layer, flatten layer and dense layer. In comparison to pre-trained VGG-19 model customized model reduces number of layers from 19 to 5. Number of layers are reduced to 5 because increasing the number of layers were not showing much improvement in the testing results for given dataset. Training accuracy of 93.17%, validation accuracy of 88.68% and testing accuracy of 76.67% is obtained for the customized model. The results can be made more precise and accurate by optimizing the number of layers in the model. In the proposed model we have used 5 layers. The optimization of number of layers is done based on the prediction accuracy. The accuracy of less than 50% was achieved using 3 layers and it is increased up to 76% with 5 layers. No further improvement in the prediction accuracy was observed by increasing number of layers to 6 or 7, so for the proposed model 5 layers are selected.

Herbal cannabis is one of the most consumed illegal drugs in Europe, with increasing local production. Illicit cannabis cultivation is not new to Western Europe. It first emerged on the scene in the 1970s, in the wake of the counter-culture following the 1968 Protests. Since then, it has gradually become more professional due to the increased diversification of involved actors, such as Organized Crime Groups (OCG), and the growing role of players linked to mafia organizations in both Italy and Albany. In Spain and France, where Moroccan resin has long dominated supply and demand, the cannabis market has seen a rise in herbal cannabis production. This, in turn, challenges the role of OCGs invested in resin importation. Yet, European marihuana production cannot be defined as a strictly criminal business. Small growers remain significant actors in production. This trend in production must be examined against evolving attitudes towards marihuana at the global level, linked especially to new legislation in the United States and in Canada.

Background Scoliosis is a three-dimensional deformity of the spine and trunk leading to physical and functional disability. Among adolescent, idiopathic scoliosis is the most common (80% - 89%) form of scoliosis with prevalence ranging between 0.47% and 5.2% in general population1. As the evidence on the comparative efficacy of various physical therapy in scoliosis is sparse, we conducted a comparative study assessing efficacy of Schroth method of exercise group (SEG)2 and scientific exercise approach to scoliosis group (SEASG)3 in adolescents with idiopathic scoliosis. Objectives To compare efficacy of schroth method and SEAS among adolescent with scoliosis. Methods Thirty subjects, both male and female of the age group of 10 to 18 years, with mild-moderate idiopathic scoliosis defined as the spinal radiographic Cobb angle in the range of 20 to 45 and riser sign of 0-2 were randomly allocated to Schroth method of exercise group (SEG, n=15) and scientific exercise approach to scoliosis group (SEASG, n=15). Subjects with diagnosis of spinal injury, previous spinal surgery, gibbus, limb deformity, infection and malignancy were excluded. The SEG and SEASG performed Schroth and scientific exercise respectively, 5 times a week for 7 weeks. To quantify the magnitude of spinal deformity, Cobb angle measurements were obtained by using radiograph to gain pre-post interventional differences. (Figure 1) Results SEG showed the significant changes in pre (mean sd 31.2 5.20) and post (mean sd 27.4 5.17) Cobb angle measurements. SEASG also showed the significant changes in pre (mean sd 31.33 5.26) and post (mean sd 29.4 5.9) Cobb angle measurements (Figure 2). Comparing both the groups by unpaired t test suggested SEG to be more efficacious than the SEASG with the t value (4.22) for change in Cobb angle (p Conclusion The study establishes the role of physical therapy in idiopathic scoliosis of mild to moderate degree among adolescents with. Schroth method of exercise performs better compared to the SEAS in patients with mild to moderate scoliosis. References [1] Negrini, Stefano & Fusco, Claudia & Minozzi, S & Atanasio, Salvatore & Zaina, Fabio & Romano, Michele. (2008). Exercises reduce the progression rate of adolescent idiopathic scoliosis: Results of a comprehensive systematic review of the literature. Disability and rehabilitation. 30. 772-85. [2] Schreiber S, Parent EC, Moez EK, Hedden DM, Hill D, Moreau MJ, Lou E, Watkins EM, Southon SC. The effect of Schroth exercises added to the standard of care on the quality of life and muscle endurance in adolescents with idiopathic scoliosis-an assessor and statistician blinded randomized controlled trial:”SOSORT 2015 Award Winner”. Scoliosis. 2015 Sep 18;10:24. doi:10.1186/s13013-015-0048-5 [3] Romano M, Negrini A, Parzini S, et al. SEAS (Scientific Exercises Approach to Scoliosis): a modern and effective evidence based approach to physiotherapic specific scoliosis exercises. Scoliosis. 2015;10:3. Published 2015 Feb 5. Disclosure of Interests None declared

In this paper we present a customized Internet of Things (IoT) enabled Wireless Sensing and Monitoring Platform to monitor the temperature, relative humidity and light in the context of building automation. In developed system, data is sent from the transmitter node to the receiver node through a customized hopping method. The data received at the receiver node is monitored and recorded in an excel sheet in a personal computer (PC) through a Graphical User Interface (GUI), made in LabVIEW. An Android application has also been developed through which data is transferred from LabVIEW to a smartphone through which data is remotely monitored.

Environmental concerns followed by stringent government regulations have driven a strong demand of alternate technologies such as vehicle electrification, in the mobile vehicles industry. Significant innovations in various vehicle mechanisms have contributed to several different degrees to electrification from mild hybrid versions, electrifying auxiliary functions to full electrification providing full power assist. Advancements in design and development of the power converters, motors and drives are one of the several underlying technologies contributing to an efficient operation and emissions reduction. Although respective advancements in each of these domains can be leveraged across mobile platforms, there are some limitations and gaps that are not implicit. This paper studies the opportunities and gaps for technologies in power conversion, electric motor and drives across on highway and off highway mobile vehicles applications. A model based simulation of some of the promising technologies is used to demonstrate the need for customized designs and development based on applications for electrified vehicles.

This paper deals with bit error rate (BER) performance analysis of DASH7 (Developer's Alliance for Standard Harmonization) protocol, which is an emerging technology for long range and low power wireless sensor networks (WSN) when compared to Zigbee, WI-FI and Bluetooth protocols. Results are presented for BER performance of DASH7 with and without channel coding. The channel assumed in our studies is Rayleigh fading channel which is of interest to WSN applications in the area of Precision Agriculture.

In recent years, grid modernization has become vital to achieve a balance between energy economics and consumer comfort. As the cost of distributed energy resources (DERs) such as photovoltaics (PV) has declined, utility companies have become increasingly interested in incorporating these technologies into the smart grid. Even though the advantages from DER integration outweigh the challenges, its implementation is easier said than done. To overcome these issues, a grid apparatus with advanced monitoring and dynamic control capabilities must be efficiently commissioned. In turn, this enables reliable operation of a high-performance, economically viable power grid. This study utilizes an IEEE 34 bus system modified to integrate high penetration DERs alongside dynamically controllable voltage control devices (Eaton’s Voltage Regulator controller) to provide a broad understanding of the system reliability and resiliency. The three advanced apparatus operating control modes showcased are Sequential, Time-integrating and Voltage-averaging. In summary, this paper provides a comprehensive review of the commonly established voltage control modes and configurations in a voltage regulator as well as recommendations for enhancing performance of the system using various degrees of control.

Little is known about the use of non-medical cognitive enhancers (NCEs) in the general population, and even less among youth. The study utilises a nationally representative, cross-sectional survey of adolescents attending high schools to provide a comprehensive overview of NCEs and to assess risk factors such as socio-demographics, schooling, mental health and related substance use among French adolescents. A total of 6692 students attending high school (secondary schools) answered an anonymous questionnaire collecting information on demographics, health, psychoactive substance uses (neuroleptics, tobacco, alcohol, cannabis, illicit substances) and patterns of sociability. The use of cognitive enhancers appears to be an underestimated phenomenon among youth. Prevalence of use is heavily gender-influenced, with females twice as likely to use NCEs than males. More than daily school commitments, the use of cognitive enhancers is related to the proximity of the national secondary education examination. Moreover, mental health, use of prescribed anxiolytics and other psychoactive substances are significantly independently associated with the use of cognitive enhancers, particularly among females. The unregulated use of cognitive enhancers is a predictor of potential mental frailty and a substance-based response to stressful events, a behaviour likely to persist during adulthood. The study underpins the lack of contextual and comparable data. Systematic monitoring of younger students in neighbouring countries is required to develop reliable prevention programmes.

Due to internet explosion there has been considerable rise in transmission of data such as tex, images, text, videos, etc over internet. Here security is required for transmission of data over internet so that data is secure from sender to receiver. Image Encryption plays an important role for image transmission over the Internet and using chaos system prove more secure than existing traditional cryptographic algorithms like AES, RC5, etc. With Image Encryption it becomes difficult to analyze the image that is communicated over untrusted network.. The paper provides an introduction to Chaos system and encryption as well decryption of images using confusion and diffusion methods achieved by arnold cat map and chen respectively. Comparison with existing algorithms is also done. Jalpa Shah | J S Dhobi "Chaos Based Image Encryption Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd12733.pdf

In the emerging era of Internet, multimedia software and application security of images is of major concern. To offer security to these images encryption is the way for robust security. With Image Encryption it becomes difficult to analyze the image that is communicated over untrusted network. Also it provides security for any unauthorized access. The paper provides an introduction to cryptography and various image encryption techniques are reviewed for 2D images.

Today's globally networked society places great demand on the dissemination and sharing of information. Privacy Preservation is an important issue in the release of data for mining purposes. How to efficiently protect individual privacy in data publishing is especially critical. With releasing of microdata such as social security number disease by some organization should contain privacy in data publishing. Data holders can remove explicit identifiers to gain privacy but other attributes which are in published data can lead to reveal privacy to adversary. So several methods such as K-anonymity, L-diversity, T-closeness, (n,t) closeness, (α,k)-anonymization, p-sensitive k-anonymity and others method come into existence to maintain privacy in data publishing.

In this paper we present a customized Internet of Things (IoT) enabled Wireless Sensing and Monitoring Platform to monitor the temperature, relative humidity and light in the context of museums and heritage buildings. The system presented here has been validated at the Shreyas Folk Art Museum, India and the results are discussed. In developed system, data is sent from the transmitter node to the receiver node through a customized hopping method. The data received at the receiver node is monitored and recorded in an excel sheet in a personal computer (PC) through a Graphical User Interface (GUI), made in LabVIEW. An Android application has also been developed through which data is transferred from LabVIEW to a smartphone through which data is remotely monitored.

A smart city enables the effective utilization of resources and better quality of services to the citizens. To provide services such as air quality management, weather monitoring and automation of homes and buildings in a smart city, the basic parameters are temperature, humidity and CO 2 . This paper presents a customised design of an Internet of Things (IoT) enabled environment monitoring system to monitor temperature, humidity and CO2. In developed system, data is sent from the transmitter node to the receiver node. The data received at the receiver node is monitored and recorded in an excel sheet in a personal computer (PC) through a Graphical User Interface (GUI), made in LabVIEW. An Android application has also been developed through which data is transferred from LabVIEW to a smartphone, for monitoring data remotely. The results and the performance of the proposed system is discussed.

A comprehensive perinatal safety initiative (PSI) was incrementally introduced from August 2007 to July 2009 at a large tertiary medical center to reduce adverse obstetrical outcomes. The PSI introduced: (1) evidence-based protocols, (2) formalized team training with emphasis on communication, (3) standardization of electronic fetal monitoring with required documentation of competence, (4) a high-risk obstetrical emergency simulation program, and (5) dissemination of an integrated educational program among all healthcare providers. Eleven adverse outcome measures were followed prospectively via modification of the Adverse Outcome Index (MAOI). Additionally, individual components were evaluated. The logistic regression model found that within the first year, the MAOI decreased significantly to 0.8% from 2% (p

Ambient air samples of PM 2.5 were collected at a monitoring site in Port Arthur of Texas by US EPA (Environ- mental Protection Agency) from September of 2005 to June of 2009. A total of 343 samples with 53 species were measured and the data were analyzed by positive matrix factorization (PMF) to infer the sources of PM observed at the site. The analysis identified eleven source-related factors: sulfate-rich secondary aerosol (31.9%), motor vehicle (22.3%), aged sea-salt (11.1%), cement/carbon-rich (8.3%), airborne soil (7.4%), railroad traffic (5.7%), metal processing (3.1%), sea salt (3.0%), marine aerosol (2.8%), wood smoke (2.4%), and nitrate-rich secondary aerosol (1.9%). Basically, the factors of sulfate, airborne soil, and nitrate were likely to be regionally related sources. Motor vehicle, cement/carbon-rich, railroad traffic, metal processing, marine aerosol, and wood smoke factors were likely to be the local sources.

Deregulation of the β-catenin signaling has long been associated with cancer. Intracellular components of this pathway, including axin, APC, and β-catenin, are frequently mutated in a range of human tumors, but the contribution of specific extracellular ligands that promote cancer development through this signaling axis remains unclear. We conducted a reporter-based screen in a panel of human tumors to identify secreted factors that stimulate β-catenin signaling. Through this screen and further molecular characterization, we found that R-spondin (RSPO) proteins collaborate with Wnt proteins to activate β-catenin. RSPO family members were expressed in several human tumors representing multiple malignancies, including ovarian, pancreatic, colon, breast, and lung cancer. We generated specific monoclonal antibody antagonists of RSPO family members and found that anti-RSPO treatment markedly inhibited tumor growth in human patient-derived tumor xenograft models, either as single agents or in combination with chemotherapy. Furthermore, blocking RSPO signaling reduced the tumorigenicity of cancer cells based on serial transplantation studies. Moreover, gene-expression analyses revealed that anti-RSPO treatment in responsive tumors strongly inhibited β-catenin target genes known to be associated with cancer and normal stem cells. Collectively, our results suggest that the RSPO family is an important stimulator of β-catenin activity in many human tumors and highlight a new effective approach for therapeutically modulating this fundamental signaling axis. Cancer Res; 76(3); 713–23. ©2015 AACR.

We are living in the era of automation. Recently, field of automation in homes is flourishing which has made our life more convenient. Fully automated rooms, where controlling of home appliances like light, curtains, TV, fan and AC through a single device is possible, are mainly available in luxurious hotels. We have designed a system that can be an additional amenity in luxurious hotels. Task of this system is to deliver food in particular hotel room. System contains Mobile Unit, Wireless Modules and GUI based on LabVIEW2010. Mobile Unit, which is equipped with two high torque DC motors, motor driver circuitry, Arduino controller board, wireless module and two batteries, can be sent to any room by pressing respected room number button on GUI to serve food. Wireless Modules will aid in propagation of signal from GUI to Mobile Unit and vice versa. Here, waiter's job is to monitor entire process sitting near GUI like control room in modern industries. In this paper, all the aspects regarding this system are explicitly explained.

With the advancements in the hardware technology, it is now possible to transmit data over Ethernet at the rate of 100Mbps/1Gbps. The only limiting factor for such a high peed data transfer is the speed of the processor in the computer which does all the TCP/IP processing by using the TCP/IP software written in it. In the present system, the IR sensor used is taking 50 images of plasma per second. When these images data are converted into digital, 7.3 Mbytes of data is required to be transmitted over the Ethernet. To transfer such a huge amount of data over the Ethernet, a TCP/IP Offload Engine (TOE) is used. TOE has the TCP/IP protocols implemented in hardware and does the all the TCP/IP processing. Thus, the image data transfer at Gigabit speed is achieved.