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Improved specimen adequacy using jumbo biopsy forceps in patients with Barrett's esophagus

World Journal of Gastroenterology 2015年第17期21卷 5328-5335页

作者： jan martinek jana Maluskova Magdalena Stefanova Inna Tuckova Stepan Suchanek Zuzana Vackova jana Krajciova Marek Kollar Miroslav Zavoral Julius Spicak Department of Hepatogastroenterology Institute for Clinical and Experimental Medicine14021 PragueCzech Republic Faculty of Medicine University of Ostrava70103 OstravaCzech Republic Department of Pathology IKEM14021 PragueCzech Republic Department of Internal Medicine Hospital "Na Frantisku"11000 PragueCzech Republic Department of Pathology Central Military Hospital16902 PragueCzech Republic Department of Medicine Charles UniversityMilitary University Hospital16902 PragueCzech Republic

AIM:To assess the sampling quality of four different forceps(three large capacity and one jumbo) in patients with Barrett's ***:This was a prospective,single-blind study.A total of 37 patients with Barrett's esophagus were *** or random biopsies with all four forceps were obtained from each patient using a diagnostic endoscope during a single *** following forceps were tested:A:FB-220 K disposable large capacity;B:BI01-D3-23 reusable large capacity;C:GBF-02-23-180 disposable large capacity;and jumbo:disposable Radial Jaw 4 *** primary outcome measurement was specimen adequacy,defined as a well-oriented biopsy sample 2 mm or greater with the presence of muscularis ***:A total of 436 biopsy samples were *** found a significantly higher proportion of adequate biopsy samples with jumbo forceps(71%)(P < 0.001 vs forceps A:26%,forceps B:17%,and forceps C:18%).Biopsies with jumbo forceps had the largest diameter(median 2.4 mm)(P < 0.001 vs forceps A:2 mm,forceps B:1.6 mm,and forceps C:2mm).There was a trend for higher diagnostic yield per biopsy with jumbo forceps(forceps A:0.20,forceps B:0.22,forceps C:0.27,and jumbo:0.28).No complications related to specimen sampling were observed with any of the four tested ***:Jumbo biopsy forceps,when used with a diagnostic endoscope,provide more adequate specimens as compared to large-capacity forceps in patients with Barrett's esophagus.

关键词： Barrett's esophagus Barrett's esophagusrelatedneoplasia Biopsy forceps Jumbo forceps Specimen adequacy

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Hybrid In-Vehicle Background Noise Reduction for Robust Speech Recognition:The Possibilities of Next Generation 5G Data Networks

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Computers, Materials & Continua 2022年第6期71卷 4659-4676页

作者： Radek martinek jan Baros Rene Jaros Lukas Danys jan Nedoma VSB-Technical University of Ostrava Faculty of Electrical Engineering and Computer ScienceDepartment of Cybernetics and Biomedical Engineering70800Ostrava-PorubaCzechia VSB Technical University of Ostrava Faculty of Electrical Engineering and Computer ScienceDepartment of Telecommunications70800Ostrava-PorubaCzechia

This pilot study focuses on employment of hybrid LMS-ICA system for in-vehicle background noise *** vehicles are nowadays increasingly supporting voice commands,which are one of the pillars of autonomous and SMART *** speaker recognition for context-aware in-vehicle applications is limited to a certain extent by in-vehicle back-ground *** article presents the new concept of a hybrid system which is implemented as a virtual *** highly modular concept of the virtual car used in combination with real recordings of various driving scenarios enables effective testing of the investigated methods of in-vehicle background noise *** study also presents a unique concept of an adaptive system using intelligent clusters of distributed next generation 5G data networks,which allows the exchange of interference information and/or optimal hybrid algorithm settings between individual *** average,the unfiltered voice commands were successfully recognized in 29.34%of all scenarios,while the LMS reached up to 71.81%,and LMS-ICA hybrid improved the performance further to 73.03%.

关键词： 5G noise reduction hybrid algorithms speech recognition 5G data networks in-vehicle background noise

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Ectopic liver: Different manifestations, one solution

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World Journal of Gastroenterology 2013年第38期19卷 6485-6489页

作者： Pavel Zonca Lubomir martinek Peter Ihnat jan Fleege Department of Surgery University Hospital Ostrava70852 OstravaCzech Republic Department of Surgical Studies Faculty of MedicineUniversity of Ostrava70300 OstravaCzech Republic MVZ Zentrum für Pathologie und Zytodiagnostik GmbH 50996 KlnGermany

Developmental abnormalities are rare in the *** study presents two case reports of ectopic *** first case was a 31-year-old male with clinical indication for laparoscopic *** identified a perforated appendix and an unknown tumorous lesion in the ligamentum hepato *** patient underwent a laparoscopic appendectomy,intraoperative lavage of the peritoneal cavity,and extirpation of the lesion in the ligamentum hepato *** examination of the excised tumor revealed that it comprised liver tissue with fibrinous *** tumor was completely separate from the liver with no *** was classified as an ectopic *** further therapy was *** second case was a59-year-old male with a tumor on the upper pole of the spleen,incidentally diagnosed in an ultrasound *** biopsy raised suspicion of hepatocellular carcinoma.A positron emission tomography-computed tomography examination revealed accumulation of F-18 fluorodeoxyglucose only in the *** patient underwent a splenectomy with a resection and reconstruction of *** the hepatocellular carcinoma was confirmed,adjuvant therapy(sorafenib)was *** operations and postoperative recoveries were uncomplicated in both *** the low incidence of ectopic liver and rare complications,it is necessary to maintain awareness of this *** potential malignancy risk for ectopic liver tissue is the basis for radical surgical *** for hepatocellular carcinoma in an ectopic liver follows the same guidelines as those followed for treating the"mother"liver.

关键词： Ectopic Liver Hepatocellular carcinoma Diagnostic Treatment

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Enhancements of SDR-Based FPGA System for V2X-VLC Communications

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Computers, Materials & Continua 2021年第9期68卷 3629-3652页

作者： Lukas Danys Radek martinek Rene Jaros jan Baros Petr Simonik Vaclav Snasel Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer ScienceVSB–Technical University of OstravaOstrava-Poruba70800Czechia Department of Electronics Faculty of Electrical Engineering and Computer ScienceVSB–Technical University of OstravaOstrava-Poruba70800Czechia Department of Computer Science Faculty of Electrical Engineering and Computer ScienceVSB–Technical University of OstravaOstrava-Poruba70800Czechia

This pilot study focuses on a real measurements and enhancements of a software defined radio-based system for vehicle-to everything visible light communication(SDR-V2X-VLC).The presented system is based on a novel adaptive optimization of the feed-forward software defined equalization(FFSDE)methods of the least mean squares(LMS),normalized LMS(NLMS)and QR decomposition-based recursive least squares(QR-RLS)*** parameters of adaptive equalizations are adjusted in real-time to reach the best possible *** were carried out on a conventional LED Octavia III taillight drafted directly from production line and universal software radio peripherals(USRP)from National *** transmitting/receiving elements used multistate quadrature amplitude modulation(M-QAM)implemented in LabVIEW programming *** results were verified based on bit error ratio(BER),error vector magnitude(EVM)and modulation error ratio(MER).Experimental results of the pilot study unambiguously confirmed the effectiveness of the proposed solution(longer effective communication range,higher immunity to interference,deployment of higher state QAM modulation formats,higher transmission speeds etc.),as the adaptive equalization significantly improved BER,MER and EVM *** best results were achieved using the QR-RLS *** results measured on deployed QR-RLS algorithm had significantly better Eb/N0(improved by approx.20 dB)and BER values(difference by up to two orders of magnitude).

关键词： 5G feed-forward software defined equalization multistate quadrature amplitude modulation software defined radio visible light communication

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Noise Reduction in Industry Based on Virtual Instrumentation

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Computers, Materials & Continua 2021年第10期69卷 1073-1096页

作者： Radek martinek Rene Jaros jan Baros Lukas Danys Aleksandra Kawala-Sterniuk jan Nedoma Zdenek Machacek Jiri Koziorek Faculty of Electrical Engineering and Computer Science Department of Cybernetics and Biomedical EngineeringVSB–Technical University of Ostrava70800Ostrava-PorubaCzechia Faculty of Electrical Engineering Automatic Control and InformaticsOpole University of TechnologyOpolePoland Faculty of Electrical Engineering and Computer Science Department of TelecommunicationsVSB–Technical University of Ostrava70800Ostrava-PorubaCzechia

This paper discusses the reduction of background noise in an industrial environment to extend *** the Industry 4.0 era,the mass development of voice control(speech recognition)in various industrial applications is possible,especially as related to augmented reality(such as hands-free control via voice commands).As Industry 4.0 relies heavily on radiofrequency technologies,some brief insight into this problem is provided,including the Internet of things(IoT)and 5G *** study was carried out in cooperation with the industrial partner Brose CZ spol.s.r.o.,where sound recordings were made to produce a *** experimental environment comprised three workplaces with background noise above 100 dB,consisting of a laser/magnetic welder and a press.A virtual device was developed from a given dataset in order to test selected commands from a commercial speech recognizer from *** tested a hybrid algorithm for noise reduction and its impact on voice command recognition *** virtual devices,the study was carried out on large speakers with 20 participants(10 men and 10 women).The experiments included a large number of repetitions(100 times for each command under different noise conditions).Statistical results confirmed the efficiency of the tested *** welding environment efficiency was 27%before applied filtering,76%using the least mean square(LMS)algorithm,and 79%using LMS+independent component analysis(ICA).Magnetic welding environment efficiency was 24%before applied filtering,70%with LMS,and 75%with LMS+*** workplace environment efficiency showed no success before applied filtering,was 52%with LMS,and was 54%with LMS+ICA.

关键词： 5G hybrid algorithms signal processing speech recognition

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Mechanical Properties Optimization Metal Bars and Sheets Made of 34CrNiMo6 Steel

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Journal of Iron and Steel Research International 2011年第S1期18卷 956-960页

作者： Dzugan jan Novy Zbysek Motycka Petr Martinkova jana martinek Petr COMTES FHT Inc. Prumyslova 995334 41 DobranyCzech Republic

Currently available and well known materials treated by a special procedures can provide superior properties in the comparison to presently obtained *** treatment procedures are efficiently developed with the use of physical simulators *** simulators allow treatment optimization on small scale laboratory samples which can be subsequently transferred to real production processes later ***,there is always need of successful transfer from small scale laboratory experiments to real production of for example metal *** the current paper thermo-mechanical procedure developed for 34CrNiMo6 steel under laboratory conditions is applied to metal sheets *** were obtained very promising properties on the bulk material samples processed in the physical simulator,the challenge was to obtain similar properties on a real metal sheets by a transfer of laboratory procedure to metal sheet production *** the considered case the combination of tensile strength and elongation were especially required for considered application in a train *** order to achieve excellent elongation for high strength hardened steel,very fine microstructure has to be attained through the thermo-mechanical process *** good results were achieved on produced metal sheets.6% elongation was attained allowing the possibility of further material processing,*** of sheets,with tensile strength exceeding 1500 *** study presented here confirms usefulness of thermo-mechanical simulators for new procedures *** the use of the simulator of thermaldeformation cycles a materials with optimized properties for certain application can be efficiently developed.

关键词： physical simulation thermo-mechanical treatment

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The possibilities of using a mixture of PDMS and phosphor in a wide range of industry applications

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Opto-Electronic Advances 2024年第11期7卷 39-59页

作者： Rodrigo Rendeiro jan Jargus jan Nedoma Radek martinek Carlos Marques CICECO–Aveiro Institute of Materials Physics DepartmentUniversity of AveiroAveiro 3810-193Portugal Department of Telecommunications VSB–Technical University of OstravaOstrava 70800Czech Republic Department of Cybernetics and Biomedical Engineering VSB–Technical University of OstravaOstrava 70800Czech Republic Department of Physics VSB–Technical University of OstravaOstrava 70800Czech Republic

A mixture of polydimethylsiloxane (PDMS) doped with phosphor particles can be found across diverse industries having different applications. This mixture plays a particularly important role in the field of lighting, white light-emitting diodes (LED's), flexible display devices, anti-counterfeiting (AC) solutions, luminescence thermometers and many types of sensors. The field of mechanoluminescence and biomedical are booming and there is also potential for visible light communication (VLC). In this comprehensive review, the basic characteristics of PDMS and a list of selected phosphors suitable for creating a mixture of PDMS and phosphor are presented. The summary and a detailed overview of the implemented applications of this perspective mixture over the last decade is presented as well.

关键词： PDMS phosphor white LED's display flexible light devices anti-counterfeiting luminescence thermometry visible light communication mechanoluminescence

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New Hybrid IoT LoRaWAN/IRC Sensors:SMARTWater Metering System

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Computers, Materials & Continua 2022年第6期71卷 5201-5217页

作者： Vlastimil Slany Petr Koudelka Eva Krcalova jan Jobbagy Lukas Danys Rene Jaros Zdenek Slanina Michal Prauzek Radek martinek Mendel University in Brno Faculty of AgrisciencesDepartment of AgriculturalFood and Environmental Engineering61300BrnoCzechia Slovak University of Agriculture in Nitra Faculty of EngineeringDepartment of Machines and Production Biosystems94976NitraSlovakia VSB-Technical University of Ostrava Faculty of Electrical Engineering and Computer ScienceDepartment of Cybernetics and Biomedical Engineering70800Ostrava-PorubaCzechia

The massive development of internet of things(IoT)technologies is gaining momentum across all areas of their possible deployment—spanning from Industry 4.0 to eHealth,smart city,agriculture or waste *** ongoing development is further pushed forward by the gradual deployment of 5G *** 5G capable smart devices,it will be possible to transfer more data with shorter latency thereby resulting in exciting new use cases such as Massive ***-IoT(low-power wide area network-LPWAN)enables improved network coverage,long device operational lifetime and a high density of *** all the advantages of massive-IoT technology,there are certain cases where the original concept cannot be *** them are dangerous explosive environments or issues caused by subsurface deployment(operation during winter months or dense greenery).This article presents the concept of a hybrid solution of IoT LoRaWAN(long range wide area network)/IRC-VLC(infrared communication,visible light communication)technology,which combines advantages of both technologies according to the deployment scenario.

关键词： IRC/VLC LoRaWAN LPWAN massive IoT smart metering

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Laparoscopic approach to retrorectal cyst

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World Journal of Gastroenterology 2008年第42期14卷 6581-6583页

作者： Petra Gunkova Lubomir martinek jan Dostalik Igor Gunka Petr Vavra Miloslav Mazur Surgical Clinic of the Faculty Hospital Ostrava 17. listopadu 1790 Ostrava Poruba 70800 Czech Republic

Retrorectal cysts are rare benign lesions in the presacral space which are frequently diagnosed in middle-aged females. We report here our experience with two symptomatic female patients who were diagnosed as having a retrorectal cyst and managed using a laparoscopic approach. The two patients were misdiagnosed as having an ovarian cystic lesion after abdominal ultrasonography. Computer tomograghy (CT) scan was mandatory to establish the diagnosis. The trocar port site was the same in both patients. An additional left oophorectomy was done for a coexisting ovarian cystic lesion in one patient in the same setting. There was no postoperative morbidity or mortality and the two patients were discharged on the 5th and 6th post operative days, respectively. Our cases show that laparoscopic management of retrorectal cysts is a safe approach. It reduces surgical trauma and offers an excellent tool for perfect visualization of the deep structures in the presacral space.

关键词： Presacral space Retrorectal cyst Laparoscopy

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A deep learning fusion model for accurate classification of brain tumours in Magnetic Resonance images

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 790-804页

作者： Nechirvan Asaad Zebari Chira Nadheef Mohammed Dilovan Asaad Zebari Mazin Abed Mohammed Diyar Qader Zeebaree Haydar Abdulameer Marhoon Karrar Hameed Abdulkareem Seifedine Kadry Wattana Viriyasitavat jan Nedoma Radek martinek Department of Information Technology Lebanese French UniversityErbilIraq Department of Computer Science University of ZakhoZakhoKurdistan RegionIraq Department of Computer Science College of ScienceNawroz UniversityDuhokKurdistan RegionIraq Department of Artificial Intelligence College of Computer Science and Information TechnologyUniversity of AnbarRamadiIraq Department of Telecommunications VSB‐Technical University of OstravaOstravaCzech Republic Department of Cybernetics and Biomedical Engineering VSB‐Technical University of OstravaOstravaCzech Republic Department of Computer Network and Information Security Technical College of Informatics-AkreDuhok Polytechnic UniversityDuhokIraq Information and Communication Technology Research Group Scientific Research CenterAl‐Ayen UniversityThi‐QarIraq College of Computer Sciences and Information Technology University of KerbalaKarbalaIraq College of Agriculture Al‐Muthanna UniversitySamawahIraq Department of Applied Data Science Noroff University CollegeKristiansandNorway Faculty of Commerce and Accountancy Chulalongkorn Business SchoolChulalongkorn UniversityBangkokThailand

Detecting brain tumours is complex due to the natural variation in their location, shape, and intensity in images. While having accurate detection and segmentation of brain tumours would be beneficial, current methods still need to solve this problem despite the numerous available approaches. Precise analysis of Magnetic Resonance Imaging (MRI) is crucial for detecting, segmenting, and classifying brain tumours in medical diagnostics. Magnetic Resonance Imaging is a vital component in medical diagnosis, and it requires precise, efficient, careful, efficient, and reliable image analysis techniques. The authors developed a Deep Learning (DL) fusion model to classify brain tumours reliably. Deep Learning models require large amounts of training data to achieve good results, so the researchers utilised data augmentation techniques to increase the dataset size for training models. VGG16, ResNet50, and convolutional deep belief networks networks extracted deep features from MRI images. Softmax was used as the classifier, and the training set was supplemented with intentionally created MRI images of brain tumours in addition to the genuine ones. The features of two DL models were combined in the proposed model to generate a fusion model, which significantly increased classification accuracy. An openly accessible dataset from the internet was used to test the model's performance, and the experimental results showed that the proposed fusion model achieved a classification accuracy of 98.98%. Finally, the results were compared with existing methods, and the proposed model outperformed them significantly.

关键词： brain tumour deep learning feature fusion model MRI images multi‐classification

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