• Keywords
• softwarové inženýrství,
• MeSH
• Software MeSH

• Conspectus
• Programové vybavení. Programové prostředky
• NML Publication type
• monografie

• MeSH
• Biomedical Technology MeSH
• Information Systems MeSH
• Humans MeSH
• Computers MeSH
• Delivery of Health Care MeSH
• Software * MeSH
• Models, Theoretical * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH

In several studies, knowledge is witnessed as one of the foundations of long-term competitive edge and is also a basic source of new product development (NDP) performance. The aim of this study is to investigate the role of knowledge management capabilities (KMC) in new product development performance with the mediating role of organizational agility. Additionally, this study also intends to examine the moderating role of business model innovation on the relationship of KMC with organizational agility. This study was conducted on the Chinese automobile sector, and the NPD project managers, supervisors, and engineers of the sector were respondents of this study. A survey questionnaire was used to collect the data from 201 respondents, and data were analyzed using the Smart PLS 3 software. The findings of this research, although limited to the automobile industries, indicate that knowledge sharing and knowledge application have significant and positive effects on the development of new products. Organizational agility significantly mediates the relationship of KMC with NPD. The results found that business model innovation has a significant moderating role in the relationship between KMC and organizational agility. Moreover, the results of this study will assist the managers in developing a modern competitive business environment by implicating KMC in the process of NPD. Lastly, organizations may improve the sustainability of their product and their overall performance by using organizational agility and modern ways of value delivery.

• Publication type
• Journal Article MeSH

BACKGROUND: Wearable computing has long been described as the solution to many health challenges. However, the use of this technology as a diabetes patient self-management tool has not been fully explored. A promising platform for this use is the smartwatch-a wrist-worn device that not only tells time but also provides internet connection and ability to communicate information to and from a mobile phone. METHOD: Over 9 months, the design of a diabetes diary application for a smartwatch was completed using agile development methods. The system, including a two-way communication between the applications on the smartwatch and mobile phone, was tested with 6 people with type 1 diabetes. A small number of participants was deliberately chosen due to ensure an efficient use of resources on a novel system. RESULTS: The designed smartwatch system displays the time, day, date, and remaining battery time. It also allows for the entry of carbohydrates, insulin, and blood glucose (BG), with the option to view previously recorded data. Users were able to record specific physical activities, program reminders, and automatically record and transfer data, including step counts, to the mobile phone version of the diabetes diary. The smartwatch system can also be used as a stand-alone tool. Users reported usefulness, responded positively toward its functionalities, and also provided specific suggestions for further development. Suggestions were implemented after the feasibility study. CONCLUSIONS: The presented system and study demonstrate that smartwatches have opened up new possibilities within the diabetes self-management field by providing easier ways of monitoring BG, insulin injections, physical activity and dietary information directly from the wrist.

• MeSH
• Blood Pressure Monitoring, Ambulatory MeSH
• Smartphone * MeSH
• Diabetes Mellitus, Type 1 drug therapy   MeSH
• Dietary Carbohydrates MeSH
• Diet Records * MeSH
• Adult MeSH
• Hypoglycemic Agents administration & dosage   therapeutic use   MeSH
• Insulin administration & dosage   therapeutic use   MeSH
• Blood Glucose MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Mobile Applications MeSH
• Self Care MeSH
• Surveys and Questionnaires MeSH
• Feasibility Studies MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH

Cíle studie: Vývoj a implementace metody stanovení volných metanefrinů v plazmě pomocí kapalinové chromatografie s tandemovou hmotnostní detekcí (LC-MS/MS) pro rutinní použití v diagnostické laboratoři, která eliminuje omezení klasické kapalinové (HPLC) nebo plynové chromatografie (GC) a imunoanalytických metod, jako jsou náročná příprava vzorků, derivatizace a interferující substance. Typ studie: Vývoj analytické metody. Posouzení vhodnosti pro rutinní použití v diagnostické laboratoři. Název a sídlo pracoviště: Laboratoř klinické biochemie – Oddělení instrumentálních metod, Spadia lab, a.s., Dr. Slabihoudka 6232/11, 708 52 Ostrava. Materiál a metody: Vývoj a validace metody byly provedeny na LC-MS/MS systému Agilent 6490 Triple Quadrupole. Pro chromatografickou separaci byla použita kolona SeQuant®ZIC®HILIC HPLC 3,5 mm, 100Å, PEEK 100 x 2,1 mm metalfree (Merck KGaA, Německo) a gradientová eluce. Pro stanovení analytických parametrů metody byly použity lyofilizované kalibrační a kontrolní materiály z firmy Recipe Chemicals and Instruments GmbH (Německo) a Chromsystems Instruments α Chemicals GmbH (Německo). Do studie bylo zařazeno 40 pacientů s diagnózou arteriální hypertenze. Výsledky: Analytické parametry nově vyvinuté metody jsou vyhovující. Variační koeficienty (CV) preciznosti v sérii a mezilehlá preciznost se pohybovaly pod 10%. Výtěžnost, určená metodou standardního přídavku se pohybovala v rozmezí 89 až 98%. Limit stanovitelnosti pro MN byl 0,035 nmol/l, pro NMN 0,049 nmol/l. Metoda splňuje požadavky validace pro oba analyty. Bylo provedeno srovnání tří metod stanovení volných metanefrinů v plazmě: 2-MET Plasma ELISAFast Track (Labor Diagnostika Nord GmbH, Něměcko), HPLC metoda s elektrochemickou detekcí (ECD) a komerčně dodávaná diagnostická souprava FEO Kit (VUOS a.s., Česká republika) a nově vyvinutá LC-MS/MS metoda. Statistická analýza byla provedena pomocí programu MedCalc 16.1 (Medcalc Software bvba, Belgie) s využitím Passing Bablokovy regresní analýzy. Závěr: Neuroendokrinní tumory představují heterogenní skupinu onemocnění s různou klinickou symptomatologií a etiopatogenezí. Neuroendokrinní tumory, jako jsou feochromocytom nebo paragangliom, vykazují setrvalou nebo paroxyzmální nadměrnou produkci katecholaminů. Jejich 3-O-methylované metabolity, metanefrin (MN) a normetanefrin (NMN), jsou preferovány pro diferenciální diagnostiku feochromocytomu vzhledem k jejich vysoké diagnostické senzitivitě a specificitě. Prezentovaná LC-MS/MS metoda eliminuje nevýhody klasických chromatografických technik a imunoanalytických metod, přičemž zásadními aspekty jsou: jednoduchá příprava vzorku, krátká doba analýzy a požadované analytické parametry.

Objective: The development and implementation of method for the determination of free metanephrines in plasma by the liquid chromatography tandem mass spectrometry (LC-MS/MS) suitable for routine practice in diagnostic laboratory which overcomes inconveniences related with classical liquid (HPLC) or gas chromatography (GC) and immunoassay approaches, like extensive sample preparation, the step of derivatization or interfering substances. Design: Analytical method development. Assessment of suitability for routine practice in diagnostic laboratory. Settings: Department of Clinical Biochemistry – Instrumental methods section, Spadia lab, a.s., Dr. Slabihoudka 6232/11, 708 52 Ostrava Material and Methods: Method development and validation were performed on Agilent 6490 Triple Quadrupole LC-MS/MS system. Chromatographic separation was achieved on SeQuant®ZIC®HILIC HPLC 3,5 µm, 100Å, PEEK 100 x 2,1 mm metal-free HPLC Column (Merck KGaA, Germany) by gradient elution. For determination of analytical parameters lyophilised plasma calibrators (purchased from RECIPE Chemicals and Instruments GmbH, Germany) and controls (purchased from Recipe Chemicals and Instruments GmbH and Chromsystems Instruments α Chemicals GmbH, Germany) were used. The study included 40 patients with diagnosis arterial hypertension. Results: The analytical performance of the new developed method is satisfactory. The intra-assay and inter-assay coefficients of variation (CV) were below 10%. Recoveries determined by standard addition were from 89 to 98%. The limit of quantification for MN was 0.035 nmol/l, for NMN was 0.049 nmol/l. This method fulfilled requirements for validation parameters for both analytes. Comparison of three methods for quantification of free metanephrines in plasma was performed– 2-MET Plasma ELISAFast Track (Labor Diagnostika Nord GmbH, Germany), FEO Kit (VUOS a.s., Czech Republic) dedicated for HPLC-ECD systems and developed LC-MS/MS method. Statistical analysis was performed using the MedCalc 16.1 (Medcalc Software bvba, Belgium) using the Passing Bablok regression. Conclusions: Neuroendocrine tumors represent a clinically and etiologically diverse group of disorders. Neuroendocrine tumors, such as pheochromocytomas or paragangliomas, exhibit a persistent or pyroxysmal excessive catecholamines production. 3-O-methylated catecholamine metabolites, metanephrine (MN) and normetanephrine (NMN), are prioritized for diagnosis of pheochromocytoma due to their highest diagnostic sensitivity and specificity. Presented LC-MS/MS method overcomes classical HPLC and immunoassay approaches. Method provides simple step of sample preparation, short runtime and required analytical parameters

• MeSH
• Early Detection of Cancer MeSH
• Chromatography, Liquid methods   instrumentation   MeSH
• Enzyme-Linked Immunosorbent Assay methods   MeSH
• Pheochromocytoma diagnosis   blood   MeSH
• Mass Spectrometry methods   instrumentation   MeSH
• Metanephrine analysis   blood   MeSH
• Specimen Handling methods   standards   MeSH
• Reagent Kits, Diagnostic MeSH

Cíl studie: Plynová chromatografie se v diagnostice užívá pro speciální stanovení, například profilu organických kyselin v moči nebo séru. Tato metoda ovšem umožňuje, zejména pak ve svém dvojdimenzionálním uspořádání (GC×GC), mnohem ucelenější pohled na vybraný biologický materiál. Cílem práce bylo vyvinout postup pro komplexní analýzu biologického materiálu. Typ studie: Vývoj analytické metody Název a sídlo pracoviště: Laboratoř dědičných metabolických poruch, Fakultní nemocnice, Olomouc Materiál a metody: Analýzy byly provedeny na GC×GC (Agilent 7890) spojeném s průletovým hmotnostním analyzátorem (TOF MS) (LECO Pegasus 4D). Automatické zpracování dat bylo provedeno programem ChromaTOF (LECO) za použití „reference.“ Výsledky: V této studii byla vytvořena tzv. reference metabolitů, obsahující zejména organické kyseliny, aminokyseliny a látky podobné povahy, které byly derivatizovány dvěma postupy – silylací nebo alkylací methylchloroformiátem. Aplikací reference na naměřené vzorky bylo možno identifikovat (shoda 733–999) více než 100 analytů v každém vzorku. Závěry: GC×GC-TOF je vhodná metoda pro metabolomickou analýzu mnoha biologických matricí a může být také uplatněna v diagnostice metabolických onemocnění. Zpracování dat lze plně automatizovat.

Objective: Gas chromatography is used in diagnostics mostly for special analyses e.g. organic acids profiling in urine or serum. But this method enables, especially in two-dimensional version (GC×GC), more comprehensive view on selected biological material. The aim of this work was to develop a method for complex analysis of biological material. Design: Analytical method development Settings: Laboratory for Inherited Metabolic Disorders, Palacky University and University Hospital, Olomouc Material and methods: Analyses were performed on GC×GC (Agilent 7890) coupled with time-of-flight mass analyzer (TOF MS) (LECO Pegasus 4D). An automated data processing was performed by the ChromaTOF software (LECO) using “reference” tool. Results: In this study, the list of metabolites was created. It covers predominantly organic acids, amino acids, sugars, and similar – silylated or alkylated via methylchloroformiate. After applying the reference we were able to identify (spectral matches of 733–999) more than 100 analytes in each sample. Conclusion: GC×GC-TOF is a valuable tool in metabolomic analysis of many biological matrices and enables also diagnosing metabolic disorders. Data processing can be fully automated.

• Keywords
• metabolické poruchy, diagnostika,
• MeSH
• Financing, Organized MeSH
• Humans MeSH
• Metabolomics MeSH
• Specimen Handling methods   MeSH
• Gas Chromatography-Mass Spectrometry methods   MeSH
• Metabolism, Inborn Errors diagnosis   MeSH
• Check Tag
• Humans MeSH

• MeSH
• Lasers MeSH
• Publication type
• Meeting Abstract MeSH
• Collected Work MeSH

• Conspectus
• Optika
• NML Fields
• fyzika, biofyzika
• technika