cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Human Gait-labeling Uncertainty and a Hybrid Model for Gait Segmentation
Creators: name: Wu, Jiaen
name: Maurenbrecher, Henrik
name: Schaer, Alessandro
name: Becsek, Barna
name: Awai Easthope, Chris
name: Chatzipirpiridis, George
name: Ergeneman, Olgac
name: Pané, Salvador
name: Nelson, Bradley
Publisher: name: ETH Zurich
Year: 2021
Subjects: Digital biomarker
Manual gait events
Convolutional neural network
Dynamic time warping
Automatic gait analysis
Wearable inertial sensors

description: Motion capture systems are widely accepted as ground-truth for gait analysis and are used for the validation of other gait analysis systems.To date, their reliability and limitations in manual labeling of gait events have not been studied.

Objectives: Evaluate human manual labeling uncertainty and introduce a new hybrid gait analysis model for long-term monitoring.

Methods: Evaluate and estimate inter-labeler inconsistencies by computing the limits-of-agreement; develop a model based on dynamic time warping and convolutional neural network to identify a valid stride and eliminate non-stride data in walking inertial data collected by a wearable device; Gait events are detected within a valid stride region afterwards; This method makes the subsequent data computation more efficient and robust.

Results: The limits of inter-labeler agreement for key

gait events of heel off, toe off, heel strike, and flat foot are 72 ms, 16 ms, 22 ms, and 80 ms, respectively; The hybrid model's classification accuracy for a stride and a non-stride are 95.16% and 84.48%, respectively; The mean absolute error for detected heel off, toe off, heel strike, and flat foot are 24 ms, 5 ms, 9 ms, and 13 ms, respectively.

Conclusions: The results show the inherent label uncertainty and the limits of human gait labeling of motion capture data; The proposed hybrid-model's performance is comparable to that of human labelers and it is a valid model to reliably detect strides in human gait data.

Significance: This work establishes the foundation for fully automated human gait analysis systems with performances comparable to human-labelers.
description: TechRxiv
Virtual machining considering dimensional, geometrical and tool deflection errors in three-axis CNC milling machines
Creators: name: Soori, Mohsen
name: Behrooz Arezoo
name: Habibi, Mohsen
Publisher: name: figshare
Year: 2016
Subjects: subject: 91001 CAD/CAM Systems
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Soori, M., Arezoo, B. and Habibi, M., 2014. Virtual machining considering dimensional, geometrical and tool deflection errors in three-axis CNC milling machines. Journal of Manufacturing Systems, 33(4), pp.498-507.
Virtual manufacturing system can provide useful means for product to be manufactured without the need of physical testing on the shop floor. As a result, the time and cost of part production can be decreased. there are different error sources in machine tools such tool deflection, geometrical deviations of moving axis and thermal distortion of machine tool structures. Some of these errors can be decreased by controlling machining process and environmental parameters. However other errors like tool deflection and geometrical errors which have a big portion of the total error, need more attention. This paper present a virtual machining system in order to enforce tool deflection, dimensional and geometrical errors in three-axis milling operations. The system receives 21 dimensional and geometrical errors of a machine tool and machining codes of a specific part as input. The output of the system is modified codes which will produce actual machined part in virtual environment.
Extracellular matrix gene expression signatures as cell type and cell state identifiers
Creators: name: Sacher, Fabio
name: Feregrino, Christian
name: Tschopp, Patrick
name: Ewald, Collin Y.
Publisher: name: ETH Zurich
Year: 2021
Subjects: Matrisome
Matreotype
Cell type
scRNA-seq
Limb development

description: Transcriptomic signatures based on cellular mRNA expression profiles can be used to categorize cell types and states. Yet whether different functional groups of genes perform better or worse in this process remains largely unexplored. Here we test the core matrisome - that is, all genes coding for structural proteins of the extracellular matrix - for its ability to delineate distinct cell types in embryonic single-cell RNA-sequencing (scRNA-seq) data. We show that even though expressed core matrisome genes correspond to less than 2% of an entire cellular transcriptome, their RNA expression levels suffice to recapitulate important aspects of cell type-specific clustering. Notably, using scRNA-seq data from the embryonic limb, we demonstrate that core matrisome gene expression outperforms random gene subsets of similar sizes and can match and exceed the predictive power of transcription factors. While transcription factor signatures generally perform better in predicting cell types at early stages of chicken and mouse limb development, i.e., when cells are less differentiated, the information content of the core matrisome signature increases in more differentiated cells. Our findings suggest that each cell type produces its own unique extracellular matrix, or matreotype, which becomes progressively more refined and cell type-specific as embryonic tissues mature.
description: bioRxiv
Youthful and age-related matreotypes predict drugs promoting longevity
Creators: name: Statzer, Cyril
name: Jongsma, Elisabeth
name: Liu, Sean X.
name: Dakhovnik, Alexander
name: Wandrey, Franziska
name: Mozharovskyi, Pavlo
name: Zülli, Fred
name: Ewald, Collin Y.
Publisher: name: ETH Zurich
Year: 2021
Subjects: Collagen
Extracellular matrix
Matrisome
Aging
Longevity
Drug repurposing
GTEx
CMap
Geroprotector
Pharmacology

description: The identification and validation of drugs that promote health during aging (‘geroprotectors’) is key to the retardation or prevention of chronic age-related diseases. Here we found that most of the established pro-longevity compounds shown to extend lifespan in model organisms also alter extracellular matrix gene expression (i.e., matrisome) in human cell lines. To harness this novel observation, we used age-stratified human transcriptomes to define the age-related matreotype, which represents the matrisome gene expression pattern associated with age. Using a ‘youthful’ matreotype, we screened in silico for geroprotective drug candidates. To validate drug candidates, we developed a novel tool using prolonged collagen expression as a non-invasive and in-vivo surrogate marker for C. elegans longevity. With this reporter, we were able to eliminate false positive drug candidates and determine the appropriate dose for extending the lifespan of C. elegans. We improved drug uptake for one of our predicted compounds, genistein, and reconciled previous contradictory reports of its effects on longevity. We identified and validated new compounds, tretinoin, chondroitin sulfate, and hyaluronic acid, for their ability to restore age-related decline of collagen homeostasis and increase lifespan. Thus, our innovative drug screening approach - employing extracellular matrix homeostasis - facilitates the discovery of pharmacological interventions promoting healthy aging.
description: bioRxiv
Dimensional and geometrical errors of three-axis CNC milling machines in a virtual machining system
Creators: name: Soori, Mohsen
name: Behrooz Arezoo
name: Habibi, Mohsen
Publisher: name: figshare
Year: 2018
Subjects: subject: 91001 CAD/CAM Systems
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Soori, M., Arezoo, B. and Habibi, M., 2013. Dimensional and geometrical errors of three-axis CNC milling machines in a virtual machining system. Computer-Aided Design, 45(11), pp.1306-1313.Virtual machining systems are applying computers and different type of software in manufacturing and production in order to simulate and model errors of real environment in virtual reality system. Many errors of CNC machine tools have an effect on the accuracy and repeatability of part manufacturing. Some of these error can be reduced by controlling the machining process and environments parameters. However geometric errors which have a big portion of total error need more attention. In this paper virtual machining system which simulates the dimensional and geometrical errors of real three-axis milling machining operations is described. The system can read the machining codes of parts and enforce 21 errors associated with linear and rotational motion axes in order to generate new codes to represent actual machining operations. In order to validate the system free form profiles and surfaces of virtual and real machined parts are compared in order to present the reliability and accuracy of the software.
Kinematic observations of the mountain cryosphere using in-situ GNSS instruments
Creators: name: Beutel, Jan
name: Biri, Andreas
name: Buchli, Ben
name: Cicoira, Alessandro
name: Delaloye, Reynald
name: Da Forno, Reto
name: Gärtner-Roer, Isabelle
name: Gruber, Stephan
name: Gsell, Tonio
name: Hasler, Andreas
name: Lim, Roman
name: Limpach, Phillipe
name: Mayoraz, Raphael
name: Meyer, Matthias
name: Noetzli, Jeannette
name: Phillips, Marcia
name: Pointner, Eric
name: Raetzo, Hugo
name: Scapoza, Cristian
name: Strozzi, Tazio
name: Thiele, Lothar
name: Vieli, Andreas
name: Vonder Mühll, Daniel
name: Weber, Samuel
name: Wirz, Vanessa
Publisher: name: ETH Zurich
Year: 2021

description: Permafrost warming is coinciding with accelerated mass movements, talking place especially in steep, mountainous topography. While this observation is backed up by evidence and analysis of both remote sensing as well as repeat terrestrial surveys undertaken since decades much knowledge is to be gained about the specific details, the variability and the processes governing these mass movements in the mountain cryosphere. This dataset collates data of continuously acquired kinematic observations obtained through in-situ Global Navigation Satellite Systems (GNSS) instruments that have been designed and implemented in a large-scale multi field-site monitoring campaign across the whole Swiss Alps. The landforms covered include rock glaciers, high-alpine steep bedrock bedrock as well as landslide sites, most of which are situated in permafrost areas. The dataset was acquired at 54 different stations situated at locations from 2304 to 4003 m a.s.l and comprises 209’948 daily positions derived through double-differential GNSS post-processing. Apart from these, the dataset contains down-sampled and cleaned time series of weather station and inclinometer data as well as the full set of GNSS observables in RINEX format. Furthermore the dataset is accompanied by tools for processing and data management in order to facilitate reuse, open alternate usage opportunities and support the life-long living data process with updates. To date this dataset has seen numerous use cases in research as well as natural-hazard mitigation and adaptation due to climate change.
description: Earth System Science Data Discussions
description: ISSN:1866-3591
Distinct microRNA signature in human serum and germline after childhood trauma
Creators: name: Jawaid, Ali
name: Kunzi, Marina
name: Mansoor, Mahgul
name: Khan, Zain Yar
name: Abid, Anooshay
name: Taha, Muhammad
name: Rigotti, Serena
name: Thumfart, Kristina
name: Faisal, Saba
name: Chughtai, Omar
name: Mansuy, Isabelle
Publisher: name: ETH Zurich
Year: 2020
Subjects: childhood trauma
paternal loss and maternal separation
microRNAs
serum
sperm
seminal fluid high-density lipoproteins

description: Traumatic experiences during childhood can persistently alter mental and physical health in humans and have been implicated in transmission of symptoms to the progeny in animal models. Molecular evidence from these models implicates epigenetic/non-genetic factors, such as microRNAs (miRNAs), in the expression of trauma-induced symptoms and their transmission to the offspring. To confirm these findings in humans, we assembled three cohorts of subjects exposed to childhood trauma and examined selected miRNAs linked to psychological and pathophysiological manifestations of childhood trauma. Children aged 7- 12 years (n = 72, control n = 30) exposed to paternal loss and maternal separation (PLMS) exhibited increase in two miRNAs, miR-16 and miR-375 in serum and reduced level of high density lipoproteins (HDL) compared to control children. Comparable miRNA changes were observed in serum of adult men aged 18-25 years (n = 13, control n = 17) who had been exposed to PLMS at a young age. Finally, the same miRNAs were altered in sperm of adult men aged 21-50 years (n = 23, control n = 35) exposed to two or more significant traumatic events in childhood, assessed retrospectively using the standardized childhood trauma questionnaire (CTQ). In vitro experiments show that regulation of these miRNA involves the HDL receptor SRB-1, suggesting a link between trauma-associated miRNAs and metabolic alterations.
description: medRxiv
B cell clonal expansion is correlated with antigen-specificity in young but not old mice
Creators: name: Agrafiotis, Andreas
name: Neumeier, Daniel
name: Hong, Kai-Lin
name: Chowdhury, Tasnia
name: Ehling, Roy
name: Kuhn, Raphael
name: Sandu, Ioana
name: Kreiner, Victor
name: Starkie, Dale
name: Lightwood, Daniel J.
name: Oxenius, Annette
name: Reddy, Sai T.
name: Yermanos, Alexander
Publisher: name: ETH Zurich
Year: 2021

description: Aging of the humoral immune response has been shown to affect its critical role in defending the host from a variety of pathogens. Technical limitations have nevertheless made it challenging to investigate the relationship between genotype and phenotype of antibody repertoires in the context of aging. We therefore performed single-cell sequencing of over 95,000 B cells to simultaneously investigate B cell receptor (BCR) repertoires and gene expression profiles in the bone marrow and spleens of young and old mice following immunizations with a protein antigen. We discovered the presence of clonally expanded B cells in both young and old mice, which had distinct transcriptional phenotypes and exhibited age-associated gene signatures relating to plasma cell differentiation and protein folding and stabilization genes. Recombinant expression of 227 monoclonal antibodies revealed that clonally expanded B cells were frequently antigen-specific in young mice but not in old mice. Furthermore, we detected clonal convergence across different mice which was correlated with antigen-specificity. Although isotype- and expansion-specific transcriptional phenotypes could be detected, there was little correlation with antigen-specificity and transcriptional signatures. Together, our work provides an age-resolved single-cell repertoire resource that further relates antibody specificity, repertoire features, and whole transcriptomes.
description: bioRxiv
speedingCARs: accelerating the engineering of CAR T cells by signaling domain shuffling and single-cell sequencing
Creators: name: Di Roberto, Raphaël B.
name: Castellanos-Rueda, Rocío
name: Schlatter, Fabrice S.
name: Palianina, Darya
name: Nguyen, Thi Phuong Oanh
name: Kapetanovic, Edo
name: Hierlemann, Andreas
name: Khanna, Nina
name: Reddy, Sai T.
Publisher: name: ETH Zurich
Year: 2021

description: Chimeric antigen receptors (CARs) consist of an extracellular antigen-binding region fused to intracellular signaling domains, thus enabling customized T cell responses against target cells. Due to the low-throughput process of systematically designing and functionally testing CARs, only a small set of immune signaling domains have been thoroughly explored, despite their major role in T cell activation, effector function and persistence. Here, we present speedingCARs, an integrated method for engineering CAR T cells by signaling domain shuffling and functional screening by single-cell sequencing. Leveraging the inherent modularity of natural signaling domains, we generated a diverse library of 180 unique CAR variants, which were genomically integrated into primary human T cells by CRISPR-Cas9. Functional and pooled screening of the CAR T cell library was performed by co-culture with tumor cells, followed by single-cell RNA sequencing (scRNA-seq) and single-cell CAR sequencing (scCAR-seq), thus enabling high-throughput profiling of multi-dimensional cellular responses. This led to the discovery of several CAR variants that retained the ability to kill tumor cells, while also displaying diverse transcriptional signatures and T cell phenotypes. In summary, speedingCARs substantially expands and characterizes the signaling domain combinations suited for CAR design and supports the engineering of next-generation T cell therapies.
description: bioRxiv
Dimensional and geometrical errors of three-axis CNC milling machines in a virtual machining system
Creators: name: Soori, Mohsen
name: Behrooz Arezoo
name: Habibi, Mohsen
Publisher: name: figshare
Year: 2016
Subjects: subject: 91001 CAD/CAM Systems
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Soori, M., Arezoo, B. and Habibi, M., 2013. Dimensional and geometrical errors of three-axis CNC milling machines in a virtual machining system. Computer-Aided Design, 45(11), pp.1306-1313.Virtual machining systems are applying computers and different type of software in manufacturing and production in order to simulate and model errors of real environment in virtual reality system. Many errors of CNC machine tools have an effect on the accuracy and repeatability of part manufacturing. Some of these error can be reduced by controlling the machining process and environments parameters. However geometric errors which have a big portion of total error need more attention. In this paper virtual machining system which simulates the dimensional and geometrical errors of real three-axis milling machining operations is described. The system can read the machining codes of parts and enforce 21 errors associated with linear and rotational motion axes in order to generate new codes to represent actual machining operations. In order to validate the system free form profiles and surfaces of virtual and real machined parts are compared in order to present the reliability and accuracy of the software.
DeepSARS: simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2
Creators: name: Yermanos, Alexander
name: Hong, Kai-Lin
name: Agrafiotis, Andreas
name: Han, Jiami
name: Nadeau, Sarah Ann
name: Valenzuela, Cecilia
name: Azizoglu, Asli
name: Ehling, Roy
name: Gao, Beichen
name: Spahr, Michael
name: Neumeier, Daniel
name: Chang, Ching-Hsiang
name: Dounas, Andreas
name: Petrillo, Ezequiel
name: Nissen, Ina
name: Burcklen, Elodie
name: Feldkamp, Mirjam
name: Beisel, Christian
name: Oxenius, Annette
name: Savic, Miodrag
name: Stadler, Tanja
name: Rudolf, Fabian
name: Reddy, Sai T.
Publisher: name: ETH Zurich
Year: 2021

description: The continued spread of SARS-CoV-2 and emergence of new variants with higher transmission rates and/or partial resistance to vaccines has further highlighted the need for large-scale testing and genomic surveillance. However, current diagnostic testing (e.g., PCR) and genomic surveillance methods (e.g., whole genome sequencing) are performed separately, thus limiting the detection and tracing of SARS-CoV-2 and emerging variants. Here, we developed DeepSARS, a high-throughput platform for simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2 by the integration of molecular barcoding, targeted deep sequencing, and computational phylogenetics. DeepSARS enables highly sensitive viral detection, while also capturing genomic diversity and viral evolution. We show that DeepSARS can be rapidly adapted for identification of emerging variants, such as alpha, beta, gamma, and delta strains, and profile mutational changes at the population level. DeepSARS sets the foundation for quantitative diagnostics that capture viral evolution and diversity.
description: medRxiv
Towards an infrastructure ecology framework for sustainable urban planning and water management
Creators: name: Puchol-Salort, Pepe
Publisher: name: Imperial College London
Year: 2023

description: Under the increasing pressures of the climate emergency and population growth, it is crucial to address sustainable urban development and water security. Urban growth impacts environmental management in several complex ways, making it challenging to evaluate. Moreover, there is a disconnection between policy and decision-making processes in urban planning and design. To address these issues holistically, this thesis develops CityPlan, a systems-based infrastructure ecology framework for integrated urban planning. CityPlan incorporates sustainability evaluation, simulation tools, and a portfolio of design options to enable improved assessment and decision-making for multi-stakeholder urban development projects. The framework focuses on the planning system process of the UK. It presents three proof-of-concept applications: CityPlan-Ecos, which assesses urban ecosystem services at the urban development scale; CityPlan-Water, which focuses on integrated water management and the novel concept of water neutrality at the city scale; and CityPlan-Place, which develops a data-driven approach to test potential allocation and design for water-neutral interventions. CityPlan-Ecos confirms the need for pre-planning design to evaluate the number of urban ecosystem services provided. CityPlan-Water suggests that almost the same number of existing houses must be retrofitted with water-neutral design options to offset the negative impact of new urban developments on the water cycle. Finally, CityPlan-Place evaluates the level of water neutrality targets achieved by systemic design options across different urban scales. This thesis has three main research contributions. First, it demonstrates the need for integrated urban planning across different scales; second, it shows the potential of multi-purpose evaluation towards improving urban sustainability and integrated water management; and third, it enables a more comprehensive decision-making process with the combination of design and evaluation inside the UK planning system. The results of this work could be essential for strategic planning of sustainable and water-neutral design in urban environments.
Electrocorticography based monitoring of anaesthetic depth in mice
Creators: name: Schmidt, Dominik
name: English, Gwendolyn
name: Gent, Thomas
name: Yanik, Mehmet Fatih
name: von der Behrens, Wolfger
Publisher: name: ETH Zurich
Year: 2021

description: To improve animal welfare and data quality and reproducibility during research conducted under anaesthesia, anaesthetic depth in laboratory animals must be precisely monitored and controlled. While a variety of methods have been developed to estimate the depth of anaesthesia in humans, such tools for monitoring anaesthetic depth in laboratory animals remain limited. Here we propose an epidural electrocorticogram-based monitoring system that accurately tracks the depth of anesthesia in mice receiving inhalable isoflurane anaesthesia. Several features of the electrocorticogram signals exhibit robust modulation by the concentration of the administered anesthetic, notably, corticocortical coherence serves as an excellent indicator of anaesthetic depth. We developed a gradient boosting regressor framework that utilizes the extracted features to accurately estimate the depth of anaesthesia. Our method for feature extraction and estimation is conducted with a latency of only ten seconds, establishing a system for the real-time tracking of anaesthetic depth in mice.
description: bioRxiv
Modelling novelty detection in the thalamocortical loop
Creators: name: Han, Chao
name: English, Gwendolyn
name: Saal, Hannes P.
name: Indiveri, Giacomo
name: Gilra, Aditya
name: von der Behrens, Wolfger
name: Vasilaki, Eleni
Publisher: name: ETH Zurich
Year: 2021

description: In complex natural environments, sensory systems are constantly exposed to a large stream of inputs. Novel or rare stimuli, which are often associated with behaviorally important events, are typically processed differently than the steady sensory background, which has less relevance. Neural signatures of such differential processing, commonly referred to as novelty detection, have been identified on the level of EEG recordings as mismatch negativity and the level of single neurons as stimulus-specific adaptation. Here, we propose a multi-scale recurrent network with synaptic depression to explain how novelty detection can arise in the whisker-related part of the somatosensory thalamocortical loop. The architecture and dynamics of the model presume that neurons in cortical layer 6 adapt, via synaptic depression, specifically to a frequently presented stimulus, resulting in reduced population activity in the corresponding cortical column when compared with the population activity evoked by a rare stimulus. This difference in population activity is then projected from the cortex to the thalamus and amplified through the interaction between neurons of the primary and reticular nuclei of the thalamus, resulting in spindle-like, rhythmic oscillations. These differentially activated thalamic oscillations are forwarded to cortical layer 4 as a late secondary response that is specific to rare stimuli that violate a particular stimulus pattern. Model results show a strong analogy between this late single neuron activity and EEG-based mismatch negativity in terms of their common sensitivity to presentation context and timescales of response latency, as observed experimentally. Our results indicate that adaptation in L6 can establish the thalamocortical dynamics that produce signatures of SSA and MMN and suggest a mechanistic model of novelty detection that could generalize to other sensory modalities.
description: bioRxiv
Categoría de precios de medicamentos en los países del proyecto DIME
Creators: name: Decisiones informadas sobre medicamentos
Publisher: name: Zenodo
Year: 2024

description: El proyecto DIME cuenta con información comparable de precios para cada uno de los medicamentos observados en los 8 países que hacen parte del proyecto y de 15 países de referencia. Toda esta información pone en evidencia que varios países que hacen parte del proyecto DIME pagan por un mismo medicamento precios superiores a los que pagan países desarrollados, lo que se traduce en ineficiencias para estos países al verse expuestos a una discriminación negativa de precios, limitando así el acceso al tener que pagar precios más altos que otros países.
COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation Model
Creators: name: Alser, Mohammed
name: Kim, Jeremie S.
name: Almadhoun Alserr, Nour
name: Tell, Stefan W.
name: Mutlu, Onur
Publisher: name: ETH Zurich
Year: 2021

description: Motivation: Early detection and isolation of COVID-19 patients are essential for successful implementation of mitigation strategies and eventually curbing the disease spread. With a limited number of daily COVID19 tests performed in every country, simulating the COVID-19 spread along with the potential effect of each mitigation strategy currently remains one of the most effective ways in managing the healthcare system and guiding policy-makers. We introduce COVIDHunter, a flexible and accurate COVID-19 outbreak simulation model that evaluates the current mitigation measures that are applied to a region and provides suggestions on what strength the upcoming mitigation measure should be. The key idea of COVIDHunter is to quantify the spread of COVID-19 in a geographical region by simulating the average number of new infections caused by an infected person considering the effect of external factors, such as environmental conditions (e.g., climate, temperature, humidity) and mitigation measures.

Results: Using Switzerland as a case study, COVIDHunter estimates that the policy-makers need to keep the current mitigation measures for at least 30 days to prevent demand from quickly exceeding existing hospital capacity. Relaxing the mitigation measures by 50% for 30 days increases both the daily capacity need for hospital beds and daily number of deaths exponentially by an average of 23.8x, who may occupy ICU beds and ventilators for a period of time. Unlike existing models, the COVIDHunter model accurately monitors and predicts the daily number of cases, hospitalizations, and deaths due to COVID-19. Our model is flexible to configure and simple to modify for modeling different scenarios under different environmental conditions and mitigation measures.
description: arXiv
Моделирование механических характеристик многослойных печатных плат средствами CAE анализа
Creators: name: Аль-Араджи З.Х.М.
name: Муратов А.В.
name: Турецкий А.В.
name: Худяков Ю.В.
Publisher: name: Труды Международного симпозиума «Надежность  и качество»
Year: 2018
Subjects: CAE
МНОГОСЛОЙНАЯ ПЕЧАТНАЯ ПЛАТА
МОДЕЛИРОВАНИЕ РАДИОЭЛЕКТРОННЫХ ИЗДЕЛИЙ
ИНЖЕНЕРНЫЙ АНАЛИЗ
CREO

description: Механические характеристики многослойных печатных плат (МПП) определяют, в основном, надежность всего устройства в целом. Статья посвящена вопросам выявления возможностей моделирования механических характеристик многослойных печатных плат средствами инженерного анализа ( CREO), так как результаты моделирования влияют на количество вносимых изменений в конструкцию изделия в процессе его доработки. Немаловажное значение имеет точность моделирования, которая в свою очередь зависит от заданных граничных условий. Проанализировано влияние граничных условий и сосредоточенной массы на вибрационные характеристики печатной платы. Проведен сравнительный модальный анализ МПП с различными точками закрепления и распределения массы установленных компонентов
TIJORAT BANKLARINING RAQOBATBARDOSHLIGINI OSHIRISH YO`LLARI
Creators: name: Isroilova, Odina
Publisher: name: Zenodo
Year: 2025

description: Bozor iqtisodiyoti sharoitida moliyaviy tizimning barqarorligi va rivojlanishi ko‘p jihatdan tijorat banklarining raqobatbardoshligiga bog‘liq. Bugungi globallashuv jarayonlari, raqamli texnologiyalarning tezkor rivojlanishi va mijozlar ehtiyojlarining o‘zgarishi bank sektorini yangi chaqiriqlar va imkoniyatlar bilan yuzma-yuz qoldirmoqda. Tijorat banklari o‘z raqobatbardoshligini oshirish orqali nafaqat o‘z faoliyatining samaradorligini ta'minlaydi, balki moliyaviy xizmatlar sifati, iqtisodiyotning umumiy holati va aholining moliyaviy inklyuzivligiga ham katta hissa qo‘shadi.
Magnetic small-scale robots: Principles, applications and challenges
Creators: name: Pané, Salvador
name: Puigmarti-Luis, Josep
name: Pinto, M.
name: Mavromanolaki, E.
name: Flouris, A.D.
name: Mayor, T.S.
name: Lühmann, T.C.
name: Sargent, David
name: Nelson, Bradley
Publisher: name: ETH Zurich
Year: 2021
Subjects: Nanoparticle drug delivery systems
Magnetic fields
Biocompatibility characteristics
Actuation
ANGIE project

description: Last two decades has seen a growth of the research on untethered mobile small-scale robots. These motile devices display the ability to travel through fluids by transforming the energy generated by an external power source into mechanical motion. As a result, these devices are being recognized as promising platforms to break through the drawbacks of nanoparticle drug delivery systems. Among the family of small-scale devices, magnetic micro- and nanorobots, which refer to those devices wirelessly controlled by external magnetic fields, are arguably the most appealing systems for biomedical applications. Magnetic fields display biocompatibility characteristics in a wide range of conditions, and they can penetrate body tissues with minimal interaction. Additionally, magnetic fields can be generated in several forms (rotating, oscillating, gradients), enabling a rich collection of motion mechanisms, including several that mimic those of cells and microorganisms. In the present talk, we will introduce magnetic small-scale robots, their actuation principles, designs and constituent materials. Next, we will discuss about existing and potential applications in the biomedical area. Finally, we will conclude with remaining challenges for their translation into clinical applications, with a special focus in the area of intravascular drug delivery.
description: Public Health Toxicology, 1 (S)
description: ISSN:2732-8929
Quercetin derivatives as non-nucleoside inhibitors for dengue polymerase: molecular docking, molecular dynamics simulation, and binding free energy calculation
Creators: name: Anusuya, Shanmugam
name: M. Michael Gromiha
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: FOS: Biological sciences

description: Dengue is an important public health problem in tropical and subtropical regions of the world. Neither vaccine nor an antiviral medication is available to treat dengue. This insists the need of drug discovery for dengue. In order to find a potent lead molecule, RNA-dependent RNA polymerase which is essential for dengue viral replication is chosen as a drug target. As Quercetin showed antiviral activity against several viruses, quercetin derivatives developed by combinatorial library synthesis and mined from PubChem databases were screened for a potent anti-dengue viral agent. Our study predicted Quercetin 3-(6″-(E)-p-coumaroylsophoroside)-7-rhamnoside as a dengue polymerase inhibitor. The results were validated by molecular dynamics simulation studies which reveal water bridges and hydrogen bonds as major contributors for the stability of the polymerase-lead complex. Interactions formed by this compound with residues Trp795, Arg792 and Glu351 are found to be essential for the stability of the polymerase-lead complex. Our study demonstrates Quercetin 3-(6″-(E)-p-coumaroylsophoroside)-7-rhamnoside as a potent non-nucleoside inhibitor for dengue polymerase.
Soft-hard magnetically driven microrobotic devices
Creators: name: Landers, Fabian
name: Alcantara, Carlos
name: Puigmarti-Luis, Josep
name: Nelson, Bradley
name: Pané, Salvador
Publisher: name: ETH Zurich
Year: 2021
Subjects: Nanorobots
Magnetic
Motion
Polymeric materials
Electrodeposition
Mold-casting
ANGIE project

description: Magnetic micro- and nanorobots are promising candidates for the delivery of therapeutic agents in difficult-to-reach locations of the human body. These devices can swim through fluids by means of external magnetic fields. Depending on the specific design, these devices can exhibit a plethora of motion patterns as a function of the applied magnetic field. Many of these devices can also mimic the motion strategies of small organisms and cells. The vast majority of magnetic micro – and nanorobots are constructed either with magnetic hard blocks, or soft magnetic polymer nanocomposites. The first type usually comprises materials with poor biocompatibility characteristics (except for fully iron devices and few iron alloys), limited motion versatility and mechanical features far from those of biological tissues. The second, while being more versatile and adaptable in terms of motion and shape, and more similar to tissues in terms of their mechanical properties, are limited in terms of magnetic force. To overcome these limitations, devices that marry the excellent magnetic performance of magnetic hard components with the advantageous properties of soft polymeric materials for biomedicine should be developed. In this talk, we will showcase a strategy to produce microrobotic devices that comprise interlocked metallic and polymeric parts. The devices are constructed by means of template-assisted 3D printing by combining electrodeposition and mold-casting. We will demonstrate the richness of these devices in terms of motion. Finally, we will mention the potential applications of these machines for intravascular applications.
description: Public Health Toxicology, 1 (S)
description: ISSN:2732-8929
Электроэнцефалограмма человека как биометрическая характеристика в системах контроля доступа. Дипломная работа бакалавра
Creators: name: Элбакян Александра Асановна
Publisher: name: Zenodo
Year: 2020
Subjects: information security
biometrics
brain-machine interface
signal processing
EEG
artificial neural networks
информационная безопасность
нейро-компьтюерный интерфейс
цифровая обработка сигналов
нейронные сети
neuroscience
нейронауки

description: В работе рассматривается возможность использования электромагнитной активности мозга в качестве пароля для систем аутентицикации; технология нейроинтерфейсов применяется для задач компьютерной безопасности. Для распознавания ЭЭГ субъекта используются нейронные сети (карты Кохонена и с обратным распространением ошибки)

 Аннотация: Рассматривается применение электроэнцефалограммы человека как биометрической характеристики в системах контроля доступа. Было проведено сравнение ЭЭГ с традиционно используемыми в системах контроля доступа биометрическими характеристиками, выделены ее преимущества и недостатки. Был выполнен анализ существующих методов и подходов к реализации биометрических систем контроля доступа на основе ЭЭГ, показаны их возможности и ограничения. Разработано ПО для тестирования разработанного метода идентификации и аутентификации пользователей по их ЭЭГ.
On the Feasibility of All-solid-state Batteries with LLZO as a Single Electrolyte
Creators: name: Kravchyk, Kostiantyn V.
name: Karabay, Dogan Tarik
name: Kovalenko, Maksym V.
Publisher: name: ETH Zurich
Year: 2021
Subjects: Li-garnet solid-state battery
LLZO solid-state electrolyte
Energy density
Power density

description: Replacement of Li-ion liquid-state electrolytes by solid-state counterparts in a Li-ion battery (LIB) is a major research objective as well as an urgent priority for the industry, as it enables the use of a Li metal anode and provides new opportunities to realize safe, non-flammable, and temperature-resilient batteries. Among the plethora of solid-state electrolytes (SSEs) investigated, garnet-type Li-ion electrolytes based on cubic Li7La3Zr2O12 (LLZO) are considered the most appealing candidates for the development of future solid-state batteries because of their low electronic conductivity of ca. 10−8 S cm−1 (RT) and a wide electrochemical operation window of 0 ‒ 6 V vs. Li+/Li. However, high LLZO density (5.1 g cm-3) and its lower level of Li-ion conductivity (up to 1 mS cm−1 at RT) compared to liquid electrolytes (1.28 g cm-3; ca. 10 mS cm−1 at RT) still raise the question as to the feasibility of using solely LLZO as an electrolyte for achieving competitive energy and power densities. In this work, we analyzed the energy densities of Li-garnet all-solid-state batteries based solely on LLZO SSE by modeling their Ragone plots using LiCoO2 as the model cathode material. This assessment allowed us to identify values of the LLZO thickness, cathode areal capacity, and LLZO content in the solid-state cathode required to match the energy density of conventional lithium-ion batteries (ca. 180 Wh kg-1 and 497 Wh L-1) at the power densities of 200 W kg-1 and 600 W L-1, corresponding to ca. 1h of battery discharge time (1C). We then discuss key challenges in the practical deployment of LLZO SSE in the fabrication of Li-garnet all-solid-state batteries.
description: Research Square
description: ISSN:2693-5015
Laboratory characterization of an aerosol chemical speciation monitor with PM2.5 measurement capability
Creators: name: Xu, Wen
name: Croteau, Philip
name: Williams, Leah
name: Canagaratna, Manjula
name: Onasch, Timothy
name: Eben Cross
name: Zhang, Xuan
name: Robinson, Wade
name: Worsnop, Douglas
name: Jayne, John
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Space Science
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Inorganic Chemistry

description: The Aerodyne Aerosol Chemical Speciation Monitor (ACSM) is well suited for measuring non-refractory particulate matter up to approximately 1.0 µm in aerodynamic diameter (NR-sub-PM1). However, for larger particles the detection efficiency is limited by losses in the sampling inlet system and through the standard aerodynamic focusing lens. In addition, larger particles have reduced collection efficiency due to particle bounce at the vaporizer. These factors have limited the NR-sub-PM1 ACSM from meeting PM2.5 (particulate matter with aerodynamic diameter smaller than 2.5 µm) monitoring standards. To overcome these limitations, we have redesigned the sampling inlet, the aerodynamic lens, and particle vaporizer. Both the new lens and vaporizer are tested in the lab using a quadruple aerosol mass spectrometer (QAMS) system equipped with light scattering module. Our results show that the capture vaporizer introduces additional thermal decomposition of both inorganic and organic compounds, requiring modifications to the standard AMS fragmentation table, which is used to partition ion fragments to chemical classes. Experiments with mixed NH4NO3 and (NH4)2SO4 particles demonstrated linearity in the NH4+ ion balance, suggesting that there is no apparent matrix effect in the thermal vaporization-electron impact ionization detection scheme for mixed inorganic particles. Considering a typical ambient PM2.5 size distribution, we found that 89% of the non-refractory mass is detected with the new system, while only 65% with the old system. The NR-PM2.5 system described here can be adapted to existing Aerodyne Aerosol Mass Spectrometer (AMS) and ACSM systems. Copyright © 2017 American Association for Aerosol Research
Hollow-core fiber Characterization with Correlation-Optical Time Domain Reflectometry
Creators: name: Azendorf, Florian
name: Schmauss, Bernhard
name: Shi, Bo
name: Fokoua, Eric Numkam
name: Slavík, Radan
name: Eiselt, Michael
Publisher: name: arXiv
Year: 2022
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: Using a Correlation-OTDR, we characterized the temperature-induced group delay variations of two nested antiresonant nodeless hollow core fibers. The temperature sensitivity of both is substantially less than for SSMF with some dependency on coating type.
description: This work was funded by the German Federal Ministry of Education and Research (BMBF) under the project OptiCON with grant agreement number 16KIS0989K and UK EPSRC project Airguide
Stable near-to-ideal performance of a solution-grown single-crystal perovskite X-ray detector
Creators: name: Kovalenko, Maksym V.
name: Sakhatskyi, Kostiantyn
name: Turedi, Bekir
name: Matt, Gebhard
name: Lintangpradipto, Muhammad
name: Naphade, Rounak
name: Mohammed, Omar
name: Yakunin, Sergii
name: Bakr, Osman
Publisher: name: ETH Zurich
Year: 2021

description: The ideal photodetector is the one able to detect every single incoming photon. In particular, in X-ray medical imaging, the radiation dose for patients can then approach its fundamentally lowest limit set by the Poisson photon statistics. Such near-to-ideal X-ray detection characteristics have been demonstrated with only a few semiconductor materials such as Si1 and CdTe2; however, their industrial deployment in medical diagnostics is still impeded by elaborate and costly fabrication processes. Hybrid metal halide perovskites – newcomer semiconductors -– make for a viable alternative3,4,5 owing to their scalable, inexpensive, robust, and versatile solution growth and recent demonstrations of single gamma-photon counting under high applied bias voltages6,7. The major hurdle with perovskites as mixed electronic-ionic conductors, however, arises from the rapid material's degradation under high electric field8,9,10,11, thus far used in perovskite X-ray detectors12,13. Here we show that both near-to-ideal and long-term stable performance of perovskite X-ray detectors can be attained in the photovoltaic mode of operation at zero-voltage bias, employing thick and uniform methylammonium lead iodide (MAPbI3) single crystal (SC) films (up to 300 µm), solution-grown directly on hole-transporting electrodes. The operational device stability is equivalent to the intrinsic chemical shelf lifetime of MAPbI3, being at least one year in the studied case. Detection efficiency of 88% and noise equivalent dose of 90 pGyair (lower than the dose of a single incident photon) are obtained with 18 keV X-rays, allowing for single-photon counting, as well as low-dose and energy-resolved X-ray imaging. These findings benchmark hybrid perovskites as practically suited materials for developing low-cost commercial detector arrays for X-ray imaging technologies.
description: Research Square
description: ISSN:2693-5015
Laboratory characterization of an Aerosol Chemical Speciation Monitor with PM2.5 measurement capability
Creators: name: Xu, Wen
name: Croteau, Philip
name: Williams, Leah
name: Canagaratna, Manjula
name: Onasch, Timothy
name: Eben Cross
name: Zhang, Xuan
name: Robinson, Wade
name: Worsnop, Douglas
name: Jayne, John
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Space Science
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Inorganic Chemistry

description: The Aerodyne Aerosol Chemical Speciation Monitor (ACSM) is well suited for measuring non-refractory particulate matter up to approximately 1.0 µm in aerodynamic diameter (NR-sub-PM1). However, for larger particles the detection efficiency is limited by losses in the sampling inlet system and through the standard aerodynamic focusing lens. In addition, larger particles have reduced collection efficiency due to particle bounce at the vaporizer. These factors have limited the NR-sub-PM1 ACSM from meeting PM2.5 (particulate matter with aerodynamic diameter smaller than 2.5 µm) monitoring standards. To overcome these limitations, we have redesigned the sampling inlet, the aerodynamic lens, and particle vaporizer. Both the new lens and vaporizer are tested in the lab using a quadruple aerosol mass spectrometer (QAMS) system equipped with light scattering module. Our results show that the capture vaporizer introduces additional thermal decomposition of both inorganic and organic compounds, requiring modifications to the standard AMS fragmentation table, which is used to partition ion fragments to chemical classes. Experiments with mixed NH4NO3 and (NH4)2SO4 particles demonstrated linearity in the NH4+ ion balance, suggesting that there is no apparent matrix effect in the thermal vaporization-electron impact ionization detection scheme for mixed inorganic particles. Considering a typical ambient PM2.5 size distribution, we found that 89% of the non-refractory mass is detected with the new system, while only 65% with the old system. The NR-PM2.5 system described here can be adapted to existing Aerodyne Aerosol Mass Spectrometer (AMS) and ACSM systems.
Atmospheric monitoring with GNSS IoT data fusion based on machine learning
Creators: name: Soja, Benedikt
name: Navarro, Vicente
name: Kłopotek, Grzegorz
name: Crocetti, Laura
name: Awadaljeed, Mudathir
name: Rothacher, Markus
name: See, Linda
name: Sturm, Tobias
name: Weinacker, Rudolf
name: McCallum, Ian
Publisher: name: ETH Zurich
Year: 2021

description: AGU Fall Meeting Abstracts