Effect of add on therapy of SGLT 2 inhibitors on glycaemic parameters

Background: Glycaemic control in type 2 diabetes mellitus can be difficult to attain, even with a combination of multiple oral agents as well as Insulin. SGLT2 inhibitors are potential novel agents inhibits the sodium glucose co transporters operated in the kidney tubules independent of the action on insulin resistance or secretion. This study aimed to evaluate the effect on the mean reduction of HbA1c levels. Also, to evaluate the effect of gliflozins on the mean reduction of FBS and PPBS values at the end of 3rd and 6th months and to find out the ADR profile over 6 months. Methods: Prospective observational study conducted on the patients with type 2 diabetes mellitus with HbA1c >7% not controlled on metformin in the outpatient over a period of 15 months. An initial visit and thereafter follow up visits at 3rd and 6th month. HbA1c, FBS and PPBS was noted. ADR profile was also noted. Results: Significant mean reduction in the glycemic parameters among 90% study population with 0.5% reduction in mean HbA1c from the baseline. Also, the reduction in FBS and PPBS were statistically significant by 3rd month of the treatment. Incidence of genital itching was more compared with conventional drugs. Hypotension and polydipsia were rare. Conclusions: SGLT 2 inhibitors are found to be a promising new category of antidiabetic medications with better control of FBS, PPBS and HbA1c

Sustainable procurement strategies for competitive advantage: An empirical study

Procurement plays a key role in sustainability as policies and practices need to extend beyond organisations' boundaries to incorporate their whole supply chains. There is, however, a paucity of empirical research on sustainable forms of procurement initiatives currently being implemented in the UK construction sector to improve competitiveness - which is the core driver of this paper. In order to achieve this aim, a mixed research methodological approach was adopted to collect and analyse data. The findings are based primarily on quantitative data obtained from 53 completed postal questionnaires and semi-structured interviews with 17 professionals from 12 UK construction organisations. As revealed by this study, sustainable procurement is becoming increasingly important in the UK construction sector. The paper concludes that the process of integrating sustainable procurement initiatives into existing business models is often a complex issue. Therefore, there is an urgent need to explore the drivers and impediments associated with the successful integration of sustainable procurement initiatives into existing construction business models. It is also suggested that there is a need for cross-sector collaboration to capture and share best and worst practices relating to sustainable procurement strategies

Introductory programming: a systematic literature review

As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming. This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research

Analysis of Higher Order Multipoles of the 952.6 Mhz RF-Dipole Crabbing Cavity for the Jefferson Lab Electron Ion Collider

The crabbing system is a key feature in the Jefferson Lab Electron-Ion Collider (JLEIC) required to increase the luminosity of the colliding bunches. A local crabbing system will be installed with superconducting rf-dipole crabbing cavities operating at 952.6 MHz. The field non-uniformity across the beam aperture in the crabbing cavities produces higher order multipole components, similar to that which are present in magnets. Knowledge of higher order mode multipole field effects is important for accurate beam dynamics study for the crabbing system. In this paper, we quantify the multipole components and analyse their effects on the beam dynamics

Design of an RF-Dipole Crabbing Cavity System for the Electron-Ion Collider

The Electron-Ion Collider requires several crabbing systems to facilitate head-on collisions between electron and proton beams in increasing the luminosity at the interaction point. One of the critical rf systems is the 197 MHz crabbing system that will be used in crabbing the proton beam. Many factors such as the low operating frequency, large transverse voltage requirement, tight longitudinal and transverse impedance thresholds, and limited beam line space makes the crabbing cavity design challenging. The rf-dipole cavity design is considered as one of the crabbing cavity options for the 197 MHz crabbing system. The cavity is designed including the HOM couplers, FPC and other ancillaries. This paper presents the detailed electromagnetic design, mechanical analysis, and conceptual cryomodule design of the crabbing system

Online Video Promotion with User Specific Information

ABSTRACT: There are various ways and methods used in video recommendation which are purely statistical. These would give recommendations to users based on either their previous search or other criteria. These systems set up a large number of context collectors at the terminals. However, the context collecting and exchanging result in heavy network overhead, and the context processing consumes huge computation. Due to these criterion users end up getting unnecessary content which makes the browser slow. In this paper we propose a user specific category based promotion, we propose and provide for characterization of individual content as well as social attributes that help distinguish each user class. Thus a user defined video recommendation would ensure faster access to only important information which is in the user's domain of interest which utilises low buffer space and increase the speed of the system for user satisfaction. KEYWORDS: Spammer ,User created content, Video-Tag , private storage, recommender. I.INTRODUCTION Online video sharing systems, out of which YouTube[1] is the most popular, provide features that allow users to post a video as a response to a discussion topic. These features open opportunities for users to introduce polluted content, or simply pollution, into the system. So we find For instance, spammers[2] may post an unrelated video as response to a popular one, their objective being to increase the viewer-ship of their content. According to Cisco forecast[3] by 2015, two-thirds of the world's mobile data traffic and 62% of the consumer Internet traffic will be video. Video sharing has continuously increased ground due to advancement in network bandwidth Internet users post a large number of video clips on Video-sharing websites and social network applications[5] every day. The video content may be duplicate, similar, related, or quite different. Facing billions of multimedia WebPages, online users are usually having a hard time finding their favourites. Some video-sharing websites recommend video lists for end users according to video classification, video description tags, or watching history. However, these recommendations are not accurate and are always not consistent with the end users' interests. To improve this, some websites also provide users with search engine[6] to search their desired videos quickly. This led to the development of personalization methods which collect and analyse the viewing patterns, such as: the target user's viewing pattern for contents, statistical information for the overall user's viewing patterns, a user's private profile or preference information through the analysis of a user's computing environment, a communication service, and the preferred device types such as a mobile phone, personal computer, etc. A content-based recommendations system recommends the most likely matched item, then compares the recommendation list to a user's previous input data or compared to preference items. It is also based on information searching and generally uses a rating method which is used in the information searching. The rating method calculates a user's preference information and items in a recommendation list. It recommends the most likely program in a user's profile. This method has the advantage with easily adopt in recommendation result and enable more quickly recommendation. But it has problems with difference result and efficient refer to appropriate rating configuration. In use there are several video recommendation algorithms that have been developed; these would include content-based filtering (CB) by Google[7]. This has adopted for their recommender system in AdWords services. It returns search results with keyword-related advertisements, like spam these advertisements annoy most users and have been ignored by most users. Also included are social network filtering (SNF) In Internet User Created Contents (UCC), and Online Digital Video (ODV) enabled the rapid increase of online Video and programs which can be selected by consumers. This was not expected when we consider the conventional Video technologies and policies. Due to these paradigm changes, thousand of video and programs are now available to consumers. In the existing limited content providers existed, such as licensed broadcasting companies and a small number of video and satellite broadcasting operators. Thus the number of movie and programs were limited. It has become difficult and time consuming to find an interesting movie video and program via the remote control or channel guide map. In this paper we propose a user defined recommendation system(UDC) under a cloud computing environment. The proposed UDV system analyses and uses the viewing pattern of consumers to personalize the program recommendations, and to efficiently use computing resources. A proposed framework for recommending online videos operates by constructing user profiles as an aggregate of tag clouds and generating recommendations according to similar viewing patterns. The proposed personalization method collects and analyses the viewing patterns, such as : the target user's viewing pattern for contents, statistical information for the overall user's viewing patterns, a user's private profile or preference information through the analysis of a user's computing environment, a communication service, and implemented in personal computer, but in future we preferred the Mobile device . II. RELATED WORK It considers a network with N mobile unlicensed nodes that move in an environment according to some stochastic mobility models. It also assumes that entire spectrum is divided into number of M non-overlapping orthogonal channels having different bandwidth. The access to each licensed channel is regulated by fixed duration time slots. Slot timing is assumed to be broadcast by the primary system. Before transmitting its message, each transmitter node, which is a node with the message, first selects a path node and a frequency channel to copy the message. After the path and channel selection, the transmitter node negotiates and handshakes with its path node and declares the selected channel frequency to the path. The communication needed for this coordination is assumed to be accomplished by a fixed length frequency hopping sequence (FHS) that is composed of K distinct licensed channels. In each time slot, each node consecutively hops on FHS within a given order to transmit and receive a coordination packet. The aim of coordination packet that is generated by a node with message is to inform its path about the frequency channel decided for the message copying. , they present an overview of the field of recommender systems and describe the current generation of recommendation methods that are classified as: 1. content-based, 2. collaborative, and 3. hybrid recommendation They went further to describe some shortcomings of present recommendation systems and also proposed possible extensions that can improve recommendation capabilities and make recommender systems applicable to an even broader range of applications. These extensions include an improvement of understanding of users and items, incorporation of the contextual information into the recommendation process, support for multi-criteria ratings, and a provision of more flexible and less intrusive types of recommendations

Measurement of Surface Resistance Properties With Coaxial Resonators - Review

Achieving ever decreasing surface resistance at higher field in superconducting RF accelerating structures is one of most outstanding developments in modern accelerators. The BCS theory has been used widely to estimate the surface resistance and to direct the technology. However, recent research results show that the behavior of the surface resistance further deviates from the BCS theory. So far the study on surface resistance was performed usually with cavities of single frequency which limited the study of frequency dependent surface resistance. The Center for Accelerator Science at Old Dominion University has designed and built several half wave coaxial cavities to study the frequency, temperature, and RF field dependence of surface resistance. TRIUMF in Canada also joined this line of research using such multi frequency quarter wave and half wave coaxial cavities. This type of multi mode cavity will allow us to systematically study the parameters affecting surface resistance on the same cavity surface. In this paper, we review the results ODU and TRIUMF collected so far and proper analysis methods

Review of solar energy implementation in the Dominican Republic

This paper focuses on identifying the status of solar energy implementation in the Dominican Republic (DR) and in the wider global context in order to contrast the success the DR has made in this area. The data for this article is secondary in nature and is based on current scientific literature regarding solar energy. An in-depth literature review of research in the field has been conducted on the DR and global energy sectors and the nation's successful implementation of solar energy initiatives. Most information on solar energy in the Dominican was obtained from local newspaper articles, online energy magazines, local and international entities reports, and local governmental webpages

2-Amino-4-meth­oxy-6-methyl­pyrimidin-1-ium picrate

In the title salt, C6H10N3O+·C6H2N3O7 −, the dihedral angle between the mean planes of the benzene and pyridine rings is 3.1 (1)°. In the cation, the meth­oxy group is almost coplanar with the pyridine ring [C—O—C—N = −0.6 (2)°]. The p-nitro [C—C—N—O = −1.17 (19)°] and one o-nitro [C—C—N—O = 1.83 (19)°] group in the anion are essentially coplanar with the benzene ring. The other disordered o-nitro group containing the major occupancy [0.868 (6)] O atom is twisted −29.0 (2)° from the mean plane of the benzene ring. A bifurcated N—H⋯(O.O) hydrogen bond and weak C—H⋯O intermolecular inter­action between the cation and anion produce a network of infinite O—H⋯O—H⋯O—H chains along the c axis in the [101] plane which helps to establish crystal packing. Comparison to a DFT computational calculation indicates that significant conformational changes occur in the free state

Barriers and cost model of implementing unmanned aerial system (UAS) services in a decentralised system: Case of the Dominican Republic

This is an accepted manuscript of a paper published by Emerald on 16/05/2022, available online: https://doi.org/10.1108/CI-08-2021-0155 The accepted manuscript of the publication may differ from the final published version.Purpose – The aim of this paper is to identify the business barriers that influence cost of implementing UAS and its suitability for a decentralised system. Unmanned Aerial System (UAS), or drone, plays a role of data provider to AEC professionals within a decentralised system. However, exist disappointments in the execution and test of the effectiveness of the UAS. The reasons for these fails are not well elaborated in the literature. Hence, the study investigates the barriers and cost analysis of UAS that can be used for a decentralised case in which the UAS data is useful for multiple stakeholders and provide illustration of the interactions within this approach. Design/methodology/approach – This paper is part of a longitudinal project by utilising a qualitative method of interviewing 24 participants involved in the process of application of drones in the country of the Dominican Republic. The open-ended semi-structured interviews were composed for questions regarding the application of UAS, barriers, and business implications. The data gathered were transcribed and used thematic analysis for its interpretation. Later, conclusions of the barriers of UAS implementation in the organisation were analysed and a cost model was developed to identify a viable scenario. Findings – The paper provides empirical insights about the barriers and economic considerations faced in the implementation process of UAS. In this research were identified: 16 barriers in the implementation process at the management level, 8 types of cases of business relationships, and 13 business models. Furthermore, recommendations in being accountable for the dimensions and recurrent visits to the projects handled by the portfolio of the organisations were made, to prudently invest in this project management tool for construction. Practical implications – The paper includes barriers to consider before implementation, business implications, project examples and cost structure developed. Furthermore, the findings are fit theoretically into the context of a decentralised system. It was understood and contemplated that monitoring in open and outdoor spaces are the suitable approach for UAS implementations for decentralised system. The trend of decentralised autonomous organisations for transparency and efficiency of human tasks provides the foundations of human-robot interactions as well as the role of tokenisation of assets into the cyberspace. Therefore, the paper brings managers and technicians the implications for the future-proofing implementation of UAS. Research Limitations – Blockchain system is supported by UAS data and its tests require skills and resources that were outside of the scope of the main research intend regarding UAS implementation in construction. Word counts limited details in a certain degree. Furthermore, as these technologies are still under development, the assessment of the decentralised system, smart contract, and swarm technology was addressed conceptually and further research are encouraged in this field. Originality/value – This paper provides an overview of the implications of cost and the suitable scenarios for return of investment in the UAS implementation in the current stage of the technology development. In addition, the paper makes reference to decentralised systems, smart contracts and swarm technology as options in which reality capture technologies are essential for construction projects