Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Reading Level
      Reading Level
      Clear All
      Reading Level
  • Content Type
      Content Type
      Clear All
      Content Type
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
      More Filters
      Clear All
      More Filters
      Item Type
    • Is Full-Text Available
    • Subject
    • Country Of Publication
    • Publisher
    • Source
    • Target Audience
    • Language
    • Place of Publication
    • Contributors
    • Location
9 result(s) for "Markert, Tom"
Sort by:
لا يسعك الفوز في مشاجرة مع زبونك : بالإضافة إلى 49 قاعدة أخرى لتوفير خدمة ممتازة
يعرض هذا الكتاب السر وراء الخدمة الممتازة فهو يكمن في فهم بعض المبادئ الأساسية وتطبيقها، ويقدم الكتاب خمسين جرعة صغيرة هي نصائح عملية لكيفية تدبير العلاقات مع الزبائن والتأكد أنه يتلقون خدمة جيدة تجعلهم يعودون دوما للمزيد، وهذا الكتاب يعد مرجعا جيدا لكل من يعمل مع الزبائن في أي مستوى كان، كما أنه يعد الدليل العملي الصريح والمباشر لإبقاء الزبائن راضين في جو التجارة المنافس جدا والمتقلب، والقواعد التي يعرضها الكتاب تكشف عن سر إرضاء الزبائن وإبقائهم. ومن أهم تلك القواعد \"اعرف منتجاتك\"، والقاعدة الثانية\" لا تذكر منافسك بسوء أبدا \"، والقاعدة الثالثة وجاءت في \"افهم الأهداف المطلوبة للدخل والربح\"، والقاعدة الخامسة \"اغتنم فرصة كونك الموظف الجديد\"، والقاعدة السادسة جاءت في \"اعرف أهداف زبونك\"، وتتوالى القواعد حتى نصل إلى القاعدة الخمسين والتي جاءت في \"أظهر ثقة تامة\".
IT'S NOT ALL ABOUT YOU
Your boss is your meal ticket, and you must treat him or her with respect. You must help your boss to succeed and to look good. Your respect for your boss needs to be sincere. During interviews with potential employees, I always look out for whether or not they smile and laugh. Their body language often communicates as much to me as their dialogue. The energy they convey during the interview is usually indicative of what you will get from them when they work for you. There are lots and lots of skilled people in the world but give me happy and energetic - with the right skills - anytime. Good managers smile all the time. Succeeding often means you have to be a chameleon. It doesn't mean being dishonest or false; it does mean finding a legitimate way to achieve your goals. Sometimes it requires you to do things that are uncomfortable or unnatural to you. Stretch out and go for it. Don't compromise your values but find a way to win. If you can't make that total and complete commitment to winning, you won't make it to the top; too many others - your competition - do have that drive and desire. Dig deep and see if you have it.
Prediction of lower limb joint angles and moments during gait using artificial neural networks
In recent years, gait analysis outside the laboratory attracts more and more attention in clinical applications as well as in life sciences. Wearable sensors such as inertial sensors show high potential in these applications. Unfortunately, they can only measure kinematic motions patterns indirectly and the outcome is currently jeopardized by measurement discrepancies compared with the gold standard of optical motion tracking. The aim of this study was to overcome the limitation of measurement discrepancies and the missing information on kinetic motion parameters using a machine learning application based on artificial neural networks. For this purpose, inertial sensor data—linear acceleration and angular rate—was simulated from a database of optical motion tracking data and used as input for a feedforward and long short-term memory neural network to predict the joint angles and moments of the lower limbs during gait. Both networks achieved mean correlation coefficients higher than 0.80 in the minor motion planes, and correlation coefficients higher than 0.98 in the sagittal plane. These results encourage further applications of artificial intelligence to support gait analysis.
Estimation of Gait Mechanics Based on Simulated and Measured IMU Data Using an Artificial Neural Network
Enhancement of activity is one major topic related to the aging society. Therefore, it is necessary to understand people's motion and identify possible risk factors during activity. Technology can be used to monitor motion patterns during daily life. Especially the use of artificial intelligence combined with wearable sensors can simplify measurement systems and might at some point replace the standard motion capturing using optical measurement technologies. Therefore, this study aims to analyze the estimation of 3D joint angles and joint moments of the lower limbs based on IMU data using a feedforward neural network. The dataset summarizes optical motion capture data of former studies and additional newly collected IMU data. Based on the optical data, the acceleration and angular rate of inertial sensors was simulated. The data was augmented by simulating different sensor positions and orientations. In this study, gait analysis was undertaken with 30 participants using a conventional motion capture set-up based on an optoelectronic system and force plates in parallel with a custom IMU system consisting of five sensors. A mean correlation coefficient of 0.85 for the joint angles and 0.95 for the joint moments was achieved. The RMSE for the joint angle prediction was smaller than 4.8° and the nRMSE for the joint moment prediction was below 13.0%. Especially in the sagittal motion plane good results could be achieved. As the measured dataset is rather small, data was synthesized to complement the measured data. The enlargement of the dataset improved the prediction of the joint angles. While size did not affect the joint moment prediction, the addition of noise to the dataset resulted in an improved prediction accuracy. This indicates that research on appropriate augmentation techniques for biomechanical data is useful to further improve machine learning applications.
The Genome of the Obligate Intracellular Parasite Trachipleistophora hominis: New Insights into Microsporidian Genome Dynamics and Reductive Evolution
The dynamics of reductive genome evolution for eukaryotes living inside other eukaryotic cells are poorly understood compared to well-studied model systems involving obligate intracellular bacteria. Here we present 8.5 Mb of sequence from the genome of the microsporidian Trachipleistophora hominis, isolated from an HIV/AIDS patient, which is an outgroup to the smaller compacted-genome species that primarily inform ideas of evolutionary mode for these enormously successful obligate intracellular parasites. Our data provide detailed information on the gene content, genome architecture and intergenic regions of a larger microsporidian genome, while comparative analyses allowed us to infer genomic features and metabolism of the common ancestor of the species investigated. Gene length reduction and massive loss of metabolic capacity in the common ancestor was accompanied by the evolution of novel microsporidian-specific protein families, whose conservation among microsporidians, against a background of reductive evolution, suggests they may have important functions in their parasitic lifestyle. The ancestor had already lost many metabolic pathways but retained glycolysis and the pentose phosphate pathway to provide cytosolic ATP and reduced coenzymes, and it had a minimal mitochondrion (mitosome) making Fe-S clusters but not ATP. It possessed bacterial-like nucleotide transport proteins as a key innovation for stealing host-generated ATP, the machinery for RNAi, key elements of the early secretory pathway, canonical eukaryotic as well as microsporidian-specific regulatory elements, a diversity of repetitive and transposable elements, and relatively low average gene density. Microsporidian genome evolution thus appears to have proceeded in at least two major steps: an ancestral remodelling of the proteome upon transition to intracellular parasitism that involved reduction but also selective expansion, followed by a secondary compaction of genome architecture in some, but not all, lineages.
Correction: The human long noncoding RNAs CoroMarker, MALAT1, CDR1as, and LINC00460 in whole blood of individuals after controlled short‑term exposure with ultrafine metal fume particles at workplace conditions, and in human macrophages in vitro
Institute for Occupational, Social and Environmental Medicine, Medical Faculty, University Hospital RWTH Aachen University, Pauwelsstr. 30, Aachen, 52074, Germany Theresa Scheurer, Jan Steffens, Agnieszka Markert, Miriam Du Marchie Sarvaas, Thomas Kraus & Ralf Baumann 2. Department of Medicine III, Medical Faculty, University Hospital RWTH Aachen University, Pauwelsstr. 30, Aachen, 52074, Germany Christoph Roderburg, Frank Tacke & Tom Luedde 4. Clinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Düsseldorf, Moorenstr. 5, Duesseldorf, 40225, Germany Christoph Roderburg & Tom Luedde 6. Institute of Immunology, Medical Faculty, University Hospital RWTH Aachen University, Pauwelsstr. 30, Aachen, 52074, Germany Lothar Rink Authors 1. Copy shareable link to clipboard Provided by the Springer Nature SharedIt content-sharing initiative Correction Open access Published:06 May 2025 Correction: The human long noncoding RNAs CoroMarker, MALAT1, CDR1as, and LINC00460 in whole blood of individuals after controlled short‑term exposure with ultrafine metal fume particles at workplace conditions, and in human macrophages in vitro Theresa Scheurer1, Jan Steffens 1,2, Agnieszka Markert1, Miriam Du Marchie Sarvaas1, Christoph Roderburg3,4,5, Lothar Rink6, Frank Tacke3,4, Tom Luedde3,5, Thomas Kraus1 & …
The human long noncoding RNAs CoroMarker, MALAT1, CDR1as, and LINC00460 in whole blood of individuals after controlled short-term exposure with ultrafine metal fume particles at workplace conditions, and in human macrophages in vitro
Background Short-term inhalation of occupationally relevant ultrafine zinc/copper (Zn/Cu) containing welding fumes has been shown to induce subclinical systemic inflammation, associated with an elevated risk for cardiovascular diseases. The involvement of noncoding RNAs (lncRNAs) in this setting is currently unknown. However, lncRNAs have been reported to fulfill essential roles in, e.g., cardiovascular diseases, inflammation, infectious diseases, and pollution-related lung disorders. Methods In this study, the specific lncRNAs levels of the 4 lncRNAs CoroMarker, MALAT1, CDR1as and LINC00460 were determined by RT-qPCR in THP-1 macrophages exposed to Zn/Cu metal fume suspensions for 1, 2, and 4 hours in vitro. Furthermore, 14 subjects were exposed to Zn/Cu containing welding fumes (at 2.5 mg/m 3 ) for 6 hours. Before, 6, 10, and 29 hours after exposure start, whole blood cell lncRNAs levels were determined by RT-qPCR. Results In THP-1 macrophages, we observed a 2.3-fold increase of CDR1as at 1 h (Wilcoxon p  = 0.03), a non-significant increase of CoroMarker at 1 h, and an increase of LINC00460 at 2 h ( p  = 0.03) and at 4 h ( p  = 0.06). In whole blood cells, we determined a non-significant upregulation of CDR1as at 6 h ( p  = 0.2), a significant downregulation of CoroMarker at 6 h ( p  = 0.04), and a significant upregulation of LINC00460 levels at 10 h ( p  = 0.04) and 29 h ( p  = 0.04). MALAT-1 remained unchanged in both settings. Conclusion The orientation of regulation of the lncRNAs is (except for CoroMarker) similar in the in vitro and in vivo experiments and in line with their described functions. Therefore, these results, e.g. the upregulation of the potential risk marker for cardiovascular diseases, CDR1as, contribute to understanding the underlying mechanisms of Zn/Cu-induced subclinical inflammation in metal workers.
A Phase I Open-Label, Dose-Escalation, Multi-Institutional Trial of Injection with an E1B-Attenuated Adenovirus, ONYX-015, into the Peritumoral Region of Recurrent Malignant Gliomas, in the Adjuvant Setting
ONYX-015 is an oncolytic virus untested as a treatment for malignant glioma. The NABTT CNS Consortium conducted a dose-escalation trial of intracerebral injections of ONYX-015. Cohorts of six patients at each dose level received doses of vector from 10(7) plaque-forming units (pfu) to 10(10) pfu into a total of 10 sites within the resected glioma cavity. Adverse events were identified on physical exams and testing of hematologic, renal, and liver functions. Efficacy data were obtained from serial MRI scans. None of the 24 patients experienced serious adverse events related to ONYX-015. The maximum tolerated dose was not reached at 10(10) pfu. The median time to progression after treatment with ONYX-015 was 46 days (range 13 to 452 + days). The median survival time was 6.2 months (range 1.3 to 28.0 + months). One patient has not progressed and 1 patient showed regression of interval-increased enhancement. With more than 19 months of follow-up, 1/6 recipients at a dose of 10(9) and 2/6 at a dose of 10(10) pfu remain alive. In 2 patients who underwent a second resection 3 months after ONYX-015 injection, a lymphocytic and plasmacytoid cell infiltrate was observed. Injection of ONYX-015 into glioma cavities is well tolerated at doses up to 10(10) pfu.
Towards Resistant Audio Adversarial Examples
Adversarial examples tremendously threaten the availability and integrity of machine learning-based systems. While the feasibility of such attacks has been observed first in the domain of image processing, recent research shows that speech recognition is also susceptible to adversarial attacks. However, reliably bridging the air gap (i.e., making the adversarial examples work when recorded via a microphone) has so far eluded researchers. We find that due to flaws in the generation process, state-of-the-art adversarial example generation methods cause overfitting because of the binning operation in the target speech recognition system (e.g., Mozilla Deepspeech). We devise an approach to mitigate this flaw and find that our method improves generation of adversarial examples with varying offsets. We confirm the significant improvement with our approach by empirical comparison of the edit distance in a realistic over-the-air setting. Our approach states a significant step towards over-the-air attacks. We publish the code and an applicable implementation of our approach.