Liquid chromatography-tandem mass spectrometry - Application in the clinical laboratory

This review provides a concise survey of liquid chromatography tandem mass spectrometry (LCTMS) as an emerging technology in clinical chemistry. The combination of two mass spectrometers with an interposed collision cell characterizes LCTMS as an analytical technology on its own and not just as a more specific detector for HPLC compared with conventional techniques. In LCTMS, liquid chromatography is rather used for sample preparation but not for complete resolution of compounds of interest. The instrument technology of LCTMS is complex and comparatively expensive; however, in routine use, methods are far more rugged compared to conventional chromatographic techniques and enable highthroughput analyses with very limited manual handling steps. Moreover, compared to both gas chromatographymass spectrometry (GCMS) and conventional HPLC techniques, LCTMS is substantially more versatile with respect to the spectrum of analyzable compounds. For these reasons it is likely that LCTMS will gain far more widespread use in the clinical laboratory than HPLC and GCMS ever did. In this article, the key features of LCTMS are described, method development is explained, typical fields of application are discussed, and personal experiences are related

WSN based intelligent cold chain management

This paper presents a cold chain monitoring system which is implemented by using ubiquitous computing technologies, Radio Frequency Identification (RFID) & Wireless Sensor Network (WSN). In this paper, we discuss how cold supply chain works and how we can monitor and control cold supply chain by using wireless tracking and sensing technologies. We propose a prototype design which will provide a well controlled and transparent cold chain system, which could help the users to manage their products’ environmental data in real time during the life cycle. Moreover, we highlight how the availability of product trace data in combination with historical condition-monitoring data can facilitate decision-making processes enhancing supply chain’s performance. Finally we discuss the integration works of these two technologies together in the cold supply chain management system. Hardware and software platform of WSN used in this system are also described in this paper

Atm Monitoring with Radio Call

Communications technology today has progressed very rapidly. Various kinds of communication devices participate in supporting the achievement of these advances in communications technology. Ease in communication, can now be felt by us, especially the radio wave communications. Beeper (pager) is one result of advances in communications technology using radio waves used for the delivery of messages. But now the radio call (pager) have been used as a medium of message delivery in the areas of financial business. Monitoring the success of the transaction at ATMs (Automatic Teller Machine) is expected by each user of the ATM machine, all the mistakes that occurred must immediately known. For that ATM with the Radio Call Monitoring is one step in streamlining the functions of its own ATM machine. In writing this thesis, the author will give an explanation of how the ATM with the Radio Call Monitoring runs. The ingredients are already used by Page. BANK BALI in monitoring the effectiveness of ATM function optimally

Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks

With rapid development of the Internet, web contents become huge. Most of the websites are publicly available, and anyone can access the contents from anywhere such as workplace, home and even schools. Nevertheless, not all the web contents are appropriate for all users, especially children. An example of these contents is pornography images which should be restricted to certain age group. Besides, these images are not safe for work (NSFW) in which employees should not be seen accessing such contents during work. Recently, convolutional neural networks have been successfully applied to many computer vision problems. Inspired by these successes, we propose a mixture of convolutional neural networks for adult content recognition. Unlike other works, our method is formulated on a weighted sum of multiple deep neural network models. The weights of each CNN models are expressed as a linear regression problem learned using Ordinary Least Squares (OLS). Experimental results demonstrate that the proposed model outperforms both single CNN model and the average sum of CNN models in adult content recognition.Comment: To be published in LNEE, Code: github.com/mundher/NSF

Multiple human herpesvirus-8 infection

In Malawian patients with Kaposi sarcoma (KS) and their relatives, we investigated nucleotide-sequence variation in human herpesvirus-8 (HHV-8) subgenomic DNA, amplified from oral and blood samples by use of polymerase chain reaction. Twenty-four people had amplifiable HHV-8 DNA in >1 sample; 9 (38%) were seropositive for human immunodeficiency virus type 1, 21 (88%) were anti-HHV-8-seropositive, and 7 (29%) had KS. Sequence variation was sought in 3 loci of the HHV-8 genome: the internal repeat domain of open-reading frame (ORF) 73, the KS330 segment of ORF 26, and variable region 1 of ORF K1. Significant intraperson/intersample and intrasample sequence polymorphisms were observed in 14 people (60%). For 3 patients with KS, intraperson genotypic differences, arising from nucleotide sequence variations in ORFs 26 and K1, were found in blood and oral samples. For 2 other patients with KS and for 9 people without KS, intraperson genotypic and subgenotypic differences, originating predominantly from ORF K1, were found in oral samples; for the 2 patients with KS and for 4 individuals without KS, intrasample carriage of distinct ORF K1 sequences also were discernible. Our findings imply HHV-8 superinfection

Fractional Cauchy problems on bounded domains: survey of recent results

In a fractional Cauchy problem, the usual first order time derivative is replaced by a fractional derivative. This problem was first considered by \citet{nigmatullin}, and \citet{zaslavsky} in $\mathbb R^d$ for modeling some physical phenomena. The fractional derivative models time delays in a diffusion process. We will give a survey of the recent results on the fractional Cauchy problem and its generalizations on bounded domains D\subset \rd obtained in \citet{m-n-v-aop, mnv-2}. We also study the solutions of fractional Cauchy problem where the first time derivative is replaced with an infinite sum of fractional derivatives. We point out a connection to eigenvalue problems for the fractional time operators considered. The solutions to the eigenvalue problems are expressed by Mittag-Leffler functions and its generalized versions. The stochastic solution of the eigenvalue problems for the fractional derivatives are given by inverse subordinators

Pengaruh ROI, ROE, EPS Dan EVA Terhadap Return Saham Pada Perusahan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Periode 2009-2011

Penelitian ini bertujuan untuk mengetahui pengaruh Return On Invesment (ROI), Return On Equity (ROE), Earning Per Share (EPS), dan Economic Value Added (EVA) secara parsial dan simultan terhadap return saham pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia periode 2009-2011. Populasi penelitian ini adalah laporan keuangan perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia tahun 2009-2011 sebanyak 14 perusahaan. Teknik pengambilan sampling yang digunakan dalam penelitian ini adalah metode purposive sampling yaitu teknik penarikan sampel dengan pertimbangan tertentu yang didasarkan pada kepentingan penelitian. Data diperoleh dari laporan keuangan yang diterbitkan Indonesia Capital Market Directory (ICMD) dan IDX Yearly Statistics dan dikumpulkan dengan metode dokumentasi. Hasil penelitian menunjukkan bahwa secara parsial variabel Return On Invesment (ROI) dan Earnig Per Share (EPS) berpengaruh signifikan terhadap return saham. Sedangkan variabel Return On Equity (ROE) dan Economic value Added (EVA) berpengaruh tidak signifikan terhadap return saham. Tetapi secara simultan variabel ROI, ROE, EPS, dan EVA berpengaruh signifikan terhadap return saham

Customer Information System Design in Metro Laundry

Customer information systems at Metro Laundry is still done manually, the data isprocessed in such a complexity of customer data, transaction data Cleaning up thedata so that it often causes the slowness of information generated, especiallyregarding the report to the CEO of the company if requested. For that it was time verynecessary and urgent to use computers as tools in data-processing data moreefficiently and accurately.The purpose of this system design is easier than getting the performance data. Thegoal of this system is:1. Providing services to the customer information needs.2. Overcoming the deficiencies that were found on systems running.3. Provide more accurate reports to the CEO

Developing Sustainable Relationships through Public Private People Partnership (4P) Projects

Conference Theme: Global Challenges in Construction IndustryPublic Private Partnership (PPP) are sometimes used to procure public infrastructure, if deemed useful in mobilising private finance and expertise for generating innovations and enhanced ‘value’. However, when delivering desired ‘value’ to specific end-users, we should not neglect ‘overall value’ for the sustainable development of the parent community/society. To address such holistic issues in suitable broader-based projects, wider-ranging ‘Public Private People Partnership’ (4P) arrangements are proposed to invite and integrate contributions from societal stakeholders through relevant bodies, e.g. social enterprises, NGOs, academia and professional institutions. Selecting and integrating such stakeholders in a properly structured 4P procurement and operational framework can help formulate more widely acceptable and sustainable designs and mobilise more resources for procurement, construction, maintenance and operation of built assets. This will also help to address grass roots aspirations and concerns earlier, rather than try to resolve conflicts later. However, a major barrier to involving more stakeholders in already complex projects arises in managing their inputs, and relationships, while optimising outputs. Based on literature review and structured interviews, this paper presents pros and cons of using 4P in selected scenarios such as post-disaster reconstruction. Initial findings confirm that a 4P approach requires superior relationship management. This paper also draws on another study that highlighted the often neglected importance of relationship management in ‘traditional’ PPP projects. Combining these findings, a case is made for improving relationship management by mobilising the additional P (‘people’) to appropriate extents in selected PPP projects, so as to identify, prioritise and harmonise diverse stakeholder objectives and target optimal ‘overall value’ with sustainable relationships aimed at common goals.published_or_final_versio