Miracle-dz/UniFAR-FTUs huggingface dataset:
Ist die kieferorthopädische Korrektur einer wachsenden hyperdivergenten retrognathen Klasse II möglich?

Zusammenfassung Ein großer Teil der Klasse-II-Fälle ist retrognath und hyperdivergent. Viele zeigen ein ungünstiges Wachstumsmuster, durch das sich die anteroposterioren, die vertikalen und die transversalen skelettalen Beziehungen immer weiter verschlechtern. Mit den bisherigen Behandlungsstrategien ließen sich zwar die dentalen Beziehungen korrigieren, bei den skelettalen Problemen waren sie jedoch wenig effektiv. Bei der Behandlung der dentalen und der skelettalen Probleme ist es daher wichtig, den Unterkiefer nach vorne zu rotieren, anstatt ihn nach vorne zu überstellen. Eine echte Rotationsbewegung der Mandibula nach vorne, durch die bei wachsenden Kindern hauptsächlich die Projektion des Kinns bestimmt wird, lässt sich am besten durch absolute oder relative Intrusion der Zähne durchführen. Dies führt bei Kindern im Wachstum zu einer stärkeren Kinnprojektion, zu einem verbesserten Skelettprofil, zur Verkleinerung von Grund- und Kieferwinkeln und zur Verringerung der vorderen unteren Gesichtshöhe. Die mit diesem Verfahren erreichten orthopädischen Veränderungen sind vergleichbar mit oder sogar besser als die Ergebnisse, die kieferorthopädisch mit skelettaler Verankerung oder chirurgisch bei Erwachsenen erreicht werden. Das Verfahren scheint außerdem zu stabileren Ergebnissen zu führen als die Behandlung erwachsener Patienten, da hier mit und nicht gegen das Wachstum gearbeitet wird.
Cutting Operational Costs by Integrating Fintech into Traditional Banking Firms

Fintech firms mobilize information technology to provide intermediation services using a broker methodology, whereas dealer banks intermediate using leveraged balance sheets. The integration of Fintech into banking may reduce the unit cost of intermediation by shifting the production function from dealer to broker. Identifying commonalities in the financial structures of Fintech-adopting banks, we develop the "Fintech score. " Analysis of on-balance sheet lending, securitization, brokered deposits and non-interest income demonstrates that more broker-like (dealer-like) banks have high (low) Fintech scores. Using Data Envelopment and Stochastic Cost Frontier Analyses, banks with higher Fintech scores are more operationally efficient and resilient in crises.
Advancing the applicability of fast photochemical oxidation of proteins to complex systems

Rinas, Aimee Lynn Ph.D., Purdue University, August 2016. Advancing the Applicability of Fast Photochemical Oxidation of Proteins to Complex Systems. Major Professor: Lisa M. Jones. Hydroxyl radical protein footprinting coupled with mass spectrometry has become an invaluable technique for protein structural characterization. In this method, hydroxyl radicals react with solvent exposed amino acid side chains producing stable, covalently attached labels. Although this technique yields beneficial information, the extensive list of known oxidation products produced increases the complexity of identifying and quantifying oxidation products. The current methods available for quantifying the extent of oxidation either involve manual analysis steps, or limit the number of searchable modifications or the size of sequence database. This creates a bottleneck which can result in a long and arduous analysis process, which is further compounded in a complex sample. In addition to the data complexity, the peptides containing the oxidation products of hydroxyl radical-mediated protein footprinting experiments are typically much less abundant than their unoxidized counterparts. This is inherent to the design of the experiment as excessive oxidationmay lead to undesired conformational changes or unfolding of the protein, skewing the results. Thus, as the complexity of the systems studied using this method expands, the detection and identification of these oxidized species can be increasingly difficult with the limitations of data-dependent acquisition (DDA) and one-dimensional chromatography. The recently published in cell FPOP method exemplifies where this field is headed larger and more complex systems. This dissertation describes two new methodologies and one new technology for hydroxyl radical-mediated pro-
Identification and analysis of the signaling pathways, matrix-digestion enzymes, and motility components controlling Vibrio cholerae biofilm dispersal

Bacteria alternate between being free-swimming and existing as members of sessile multicellular communities called biofilms. The biofilm lifecycle occurs in three stages: cell attachment, biofilm maturation, and biofilm dispersal. Vibrio cholerae biofilms are hyper-infectious and biofilm formation and dispersal are considered central to disease transmission. While biofilm formation is well-studied, almost nothing is known about biofilm dispersal. Here, we conduct an imaging screen for V. cholerae mutants that fail to disperse, revealing three classes of dispersal components: signal transduction proteins, matrix-degradation enzymes, and motility factors. Signaling proteins dominated the screen and among them, we focused on an uncharacterized two-component sensory system that we name DbfS/DbfR for Dispersal of Biofilm Sensor/Regulator. Phospho-DbfR represses biofilm dispersal. DbfS dephosphorylates and thereby inactivates DbfR, which permits dispersal. Matrix degradation requires two enzymes: LapG, which cleaves adhesins, and RbmB, which digests matrix polysaccharide. Reorientations in swimming direction, mediated by CheY3, are necessary for cells to escape from the porous biofilm matrix. We suggest that these components act sequentially: signaling launches dispersal by terminating matrix production and triggering matrix digestion and, subsequently, cell motility permits escape from biofilms. This study lays the groundwork for interventions that modulate V. cholerae biofilm dispersal to ameliorate disease.
Experiences of contemporary Chinese queer individuals: images of physical and online lives

This research aims to study the current situation of Chinese queer groups in the new media environment. As the popularity of the internet and the promotion of global queer politics grows, China's queer research is still in its infancy. Due to China's unique political and cultural atmosphere, discussions on the identity of sexual minorities have always been marginalized. This study aims to obtain real life status of the Chinese contemporary queer group through close-range online observation and in-depth interviews with the queer group. This study selected Weibo, China's largest social platform, as a virtual observation site to study how the queer group can express and socialize on such a virtual platform. The interview part of the research focuses on the differences and commonalities of queer individuals, through their own narratives, to study the current queer group's dilemma and their real-life experiences. In the past, there has been little empirical research on Chinese queer groups, and there was a dominant phenomenon of Western queer theory in Chinese queer studies. This study will combine Chinese and Western queer theory to provide empirical research for Chinese queer research as an archive of Chinese contemporary queer group images.
A Comparison of Self-Control Measures and Drug and Alcohol Use among College Students

Research has shown a link between drug and alcohol behaviors and self-control; however, much of the research focuses on only the general theory of crime (Gottfredson and Hirschi 1990), without regard to Hirschi’s (2004) self-control theory. The purpose of the current study is to examine three measures of Hirschi’s self-control theory and to understand the link between Hirschi’s self-control theory and drug and alcohol behaviors. This study draws from a sample of undergraduate college students (N = 640) to examine the role of Hirschi’s self-control in the explanation of drug and alcohol behaviors. The current study uses a previous measure of Hirschi’s self-control [i.e., decisional self-control (alcohol)] and two measures (i.e., decisional self-control (cheat) and bond-based self-control) created by the researchers to analyze drug and alcohol behaviors. Results indicated that self-control based in social bonds (i.e., bond-based self-control) was significantly related to all drug and alcohol behaviors. The cost/salience scale measuring cheating behaviors [i.e., decisional self-control (cheat)] was significantly related to marijuana/hashish use, and the cost/salience scale measuring drinking and driving [i.e., decisional self-control (alcohol)] was significantly related to zero drug and alcohol behaviors. Results indicate that developing strong social bonds as a form of self-control can reduce the likelihood of drug and alcohol behaviors.
Ultrafast polychromatic ionization of dielectric solids

The modeling of the laser-induced damage processes can be divided into thermal and electronic processes. Especially, electronic damage seems to be well understood. In corresponding models, the damage threshold is linked to the excitation of valence electrons into the conduction band, and often the damage is obtained if a critical density of free electrons is exceeded. For the modeling of the electronic excitation, rate equation models are applied which can vary in the different terms representing different excitation channels. According to the current state of the art, photoionization and avalanche ionization contribute the major part to the ionization process, and consequently the determination of laser-induced damage thresholds is based on the calculation of the respective terms. For the theoretical description of both, well established models are available. For the quantitative calculation of the photoionization, the Keldysh theory is used most frequently, and for the avalanche processes the Drude theory is often applied. Both, Drude and Keldysh theory calculations depend on the laser frequency and use a monochromatic approach. For most applications the monochromatic description matches very well with the experimental findings, but in the range of few-cycle pulses the necessary broadening of the laser emission spectrum leads to high uncertainty for the calculation. In this paper, a novel polychromatic approach is presented including photo- and avalanche ionization as well as the critical electron density. The simulation combines different ionization channels in a Monte-Carlo procedure according to the frequency distribution of the spectrum. The resulting influence on the wavelength and material dependency is discussed in detail for various pulse shapes and pulse durations. The main focus of the investigation is concentrated on the specific characteristics in the dispersion and material dependency of the laser-induced damage threshold respecting the polychromatic characteristics of the ultra-short pulse (USP) laser damage.
Avaliação de Deep Learning para Predição de Mensagens Processadas pela Plataforma de Integração Guaraná

Companies have many applications in their software ecosystems that need to be integrated. Integration frameworks allow integrating with efficiency those applications, however there are parameterization that must be defined manually, like the number of available threads. This paper presents an experimental study that created and evaluated deep learning models for realizing the prediction of the number of messages that will be processed by using a determinate number of threads and the message rate as input in the model, to allow the parametrization of the number of threads automatically and in real time. Resumo. Empresas possuem diversas aplicações em seus ecossistemas de softwares que precisam ser integradas. Plataformas de integração permitem uma eficiência para realizar a integração, entretanto, algumas configurações devem ser definidas de forma manual, como o número de threads disponı́veis. Este artigo apresenta um estudo experimental que criou e avaliou modelos de deep learning para realizar a predição do número de mensagens que serão processadas a partir de um determinado número de threads e da taxa de mensagens, para permitir uma definição de forma automática e em tempo de execução do número de threads nas plataformas de integração.
In situ growth of metal nanoparticles on boron nitride nanosheets as highly efficient catalysts

We report a facile and general approach for the synthesis of boron nitride nanosheet (BNNS)–metal nanoparticle (NP) composites at room temperature without adding any reducing agent. BNNS was exfoliated in hydroxide aqueous media using tip-sonication. The resulting BNNS possessed abundant hydroxyl groups which reduced the gold salt and enabled the in situ growth of uniform Au NPs on BNNS (average diameter of 17 nm). The as-synthesised BNNS–Au NP composite exhibited outstanding catalytic and electrocatalytic activities which were confirmed by its excellent performance in the chemical degradation of Rhodamine B and electrocatalytic oxidation of hydrazine, respectively. This method was also demonstrated to be a general approach for the preparation of other BNNS–metal NP composites by the in situ growth of Ag, Pd and Pt NPs on BNNS.
Is Surgery Better Than Conservative Treatment for Proximal Humeral Fracture: A Systematic Review and Meta-Analysis

Background: Previous studies had compared the effectiveness of surgical and conservative treatment in proximal humeral fracture (PHF), suggesting that both treatments were effective for displaced fractures. However, which treatment is more effective, especially in the elderly patient population, remains controversial to date. This study aims to evaluate the efficacy of the two treatment methods, including functional outcome scores, complications, etc.Methods: We searched four databases (MEDLINE, Web of Science, EMBASE, Cochrane Library) from the inception of the databases to March 2020. Within the scope of the search, the publication time and language of the relevant literatures were not limited. The meta-analysis directly compared the results and complications of the two groups and subgroups. Results: We included 11 comparative studies into our meta-analysis. The contents of the study included 7 randomized controlled trials (RCTs) and 4 non-randomized controlled trials (nRCTs). The pooled data demonstrated that there was no significant difference in postoperative Constant score between surgical and conservative treatment in the RCT subgroup, but there were differences among the nRCT and prosthesis subgroup. Although there was no significant difference between the surgery and conversation group in the major postoperative complications, the subgroup analysis showed fewer complications in the joint prosthesis replacement group. Conclusion: Both treatments could provide better clinical results for patients. The joint prosthesis replacement may offer additional benefits in terms of reduced complications and postoperative function. Furthermore, due to the increasing number of prosthesis replacements and the advent of the aging age, we should consider the individual differences between patients and enrich the clinical efficacy through the personal experience of surgeons before choosing treatment options.
Exploring tissue characterization by temperature induced changes on ultrasound backscattered energy

Ultrasounds are widely used in medical imaging due to the fact of being non-invasive, relatively cheap, flexible and to allow real-time acquisitions. However it has some disadvantages, such as the moderate resolution and the low image contrast that greatly limits the image quality comparing to techniques as magnetic resonance or computed tomography. This lead, in the last years, to the development of multiple methodologies in an effort to provide traditional ultrasound images with better quality and amount of information. Example are the cases of elastography and Doppler Color Flow Imaging that provide information about tissues rigidity and the blood flow, respectively. Literature reports monotonic changes in the backscattered energy (CBE) with the increasing of medium temperature. This changes are characteristics of the type of scatterers present in the medium: scattering media composed by scatterers of muscular nature show a decreasing CBE with temperature, unlike scattering media composed by scatterers of lipid nature that show the inverse behavior. This properties where previously studied in order to map medium temperature during ultrasound therapy. This work aims to the study of a new methodology for non-invasive tissue characterization to potentially provide conventional images with additional information about media. This methodology is based in CBE expressed on intensity variations in conventional ultrasound images when the medium is submitted to a temperature increment. It was possible, using simulated ultrasound signals and images, with Matlab toolbox K-Wave, to develop the new methodology whose results are consistent with theoretical models present in Straube and Arthur studies, that modulated the expected backscattered energy received by a tissue volume. With data acquired ex-vivo, i.e., using samples of porcine muscle and fat, it was possible to obtain distinct CBE signatures for each one of them. These results could be the starting point of a new simple and cheap method for non-invasive tissue classification. xv
Chloroquine use in the Treatment of COVID-19: Systems Biology Report of Common Targets of SARS-CoV-2 and Chloroquine.

BACKGROUND: Chloroquine use for treatment of COVID-19 patients has been under discussion and recommendations have been shifting from positive to caution or non-conclusive. Variability of clinical outputs requires understanding of mechanisms of the differences. Implementation of a companion diagnostic would allow selecting patients who may benefit from the drug. The first line would be markers already used in clinics. Systems biology opens for an opportunity to identify targets common for chloroquine and SARS-CoV-2. These common targets would be candidates for the companion diagnostic.METHODS: Systemic analysis of molecular mechanisms and markers engaged by chloroquine and SARS-CoV-2 virus was performed. The networks of regulatory mechanisms were explored for an intersection and relevance to clinical markers.RESULTS: Reported here systemic analysis describes the intersection of molecular mechanisms of chloroquine and processes engaged by COVID-19. 266 nodes provide insight into the mechanisms of chloroquine impact on the infection and represent a pool of companion diagnostic markers. As an example, an intersection with the markers of heart arrhythmia retrieved 19 nodes. Thirteen of them were reported in human plasma: levels of albumin, amyloid precursor protein, and endoglin correlate with adverse cardiac effects. CONCLUSIONS: Reported intersection nodes of SARS-CoV-2 and chloroquine are the candidate markers for companion diagnostic of the chloroquine application. Some of these markers are already used in the clinic and their interpretation may contribute to monitoring for adverse effects of chloroquine.
Length-weight relationships of grayling Thymallus thymallus (Linnaeus, 1758) from Northern European Russia

During 2007-2018, a total of 451 specimens of the European grayling Thymallus thymallus from drainage basins of the Neva River, Onega River, Severnaya Dvina River, Pechora River, and the upper Volga River were collected by angling, electrofishing, gill netting, and seine netting. According to the results of the analysis of length-weight relationships, the regression parameter b ranged from 2.83 to 3.25, indicating shifts of the growth pattern, from negative-allometric to positive-allometric. The values of the coefficient of determination were greater than or equal to 0.97. The results of this study are useful for grayling’s stock management and conservation efforts in the region.
Pendant le trauma : une approche de la pathologie psychiatrique des patients atteints par le Covid-19 à travers la plateforme Covidom

Covidom est une application e-sante qui permet aux patients porteurs ou suspectes du Covid-19, sans signe de gravite, de beneficier d’un tele-suivi a domicile via des questionnaires medicaux. Elle a mis en evidence des troubles psychiatriques preexistants et une pathologie specifique : les souffrances des soignants atteints et les deuils pathologiques. Les deuils etaient en rapport avec l’impossibilite d’assister aux derniers instants ou a des deuils anticipes. Pour les soignants, le sentiment de culpabilite predominait : avoir abandonne ses collegues ou la crainte de contaminer les siens. La reconnaissance en maladie professionnelle est importante pour leur prise en charge.
Environmental Assessment of Vancouver Harbour Data Report for the PICES Practical Workshop

Table of Contents [pdf, 0.13 Mb] Section I - Practical Workshop Description [pdf, 21.22 Mb] Section II - Site Description and Oceanography [pdf, 0.40 Mb] Section III - Extended Abstracts Contaminant Concentrations in Sediment and Biota [pdf, 1.36 Mb] Biochemical and Physiological Studies [pdf, 0.77 Mb] Community Studies [pdf, 1.01 Mb] Harmful Algae Studies [pdf, 0.67 Mb] Section IV - Comprehensive Data Tables Site Locations [pdf, 0.10 Mb] Sediment Chemistry [pdf, 0.54 Mb] Tissue Chemistry – Fish [pdf, 1.20 Mb] Tissue Chemistry – Bivalves [pdf, 0.49 Mb] Lipid and Fatty Acids in Mytilus trossulus [pdf, 0.15 Mb] Biochemical, Physiological and Histopathological Parameters [pdf, 1.20 Mb] Biological Community Data – Fish and Mussels [pdf, 0.87 Mb] Biological Community Data – Macrobenthos [pdf, 0.85 Mb] Harmful Algae [pdf, 0.07 Mb] (Document contains 205 pages)
Shape Recognition Using V4 Dominant Conical Meshes

This research work introduces a new concept of shape recognition where we obtain a geometric form from some given parameters related to architecture geometry. They include cell face slope, edge length initial value of the vertical alignment and boundary vertices of the horizontal alignment. Here we construct a conical mesh with horizontal planar latitudes from initial horizontal and vertical alignments. For this purpose, analytic geometry, interpolation, data structures using Visual C++ Programming, computational geometry and CAD features are used
Evaluation and Ranking of Sustainable Third-party Logistics Providers using the D-Analytic Hierarchy Process

Nowadays, the relative importance of logistics and sustainable supply chain cannot be denied and third-party logistics as one of the logistics management strategies can play an important role for many industry owners to consider their sustainability goals. The goal of this paper is to choose the best third-party logistics provider to achieve a sustainable logistics system, because third-party logistics service is mainly dependent on both transportation and workforces, managing them is one of the important issues of sustainability. Thus, third-party logistics providers need to be concerned about not only the economic criteria but also issues related to environmental and social sustainability in addition to two other dimensions namely technical and reputation. In this paper, a comprehensive classification of related criteria, sub-criteria, and sub-sub-criteria is proposed according to selecting the best third-party logistics provider. To evaluate and rank the proposed criteria, a D Number-Analytic Hierarchy Process method, as one of the proper and popular multi-criteria decision-making (MCDM) approaches, is utilized. Besides, a case study in dairy industry has been accomplished in the real-world to show the effectiveness and a better understanding of the proposed conceptual model. Finally, the best third-party logistics provider was identified among the alternatives for the proposed case study. The results showed that the proposed method could be a good alternative to conduct evaluations and the related sensitivity analysis, considering sustainability.