Miracle-dz/UniFAR-FTUs huggingface dataset:
Experiencing Alba Emoting

Der Artikel umfasst eine knappe Vorstellung von Experiencing Alba Emoting (EAE), eines erlebensbezogenen Ansatzes von Sergio Lara zur Arbeit mit Emotionen in personzentrierten Aufgabenfeldern wie auch methodenübergreifend. Gegenstand ist die Begleitung und Förderung persönlicher Entwicklungsprozesse.EAE vermittelt, wie Emotionen zielgerichtet aktiviert, in ihrem Ausmaß gesteuert und wieder „verlassen“ werden können, und nutzt das subjektive Erleben während eines Emotionsgeschehens, um aktuelle Themen wahrnehmbar zu machen. EAE verknüpft methodische Elemente von Alba Emoting, Focusing und Kazugen undo. Orientiert am aktuellen Bedarf der Klient*innen wird multimodal vorgegangen, mit Atemtechniken, Körper- und Bewegungsübungen neben Mitteln des Gesprächs, leiblichen Spürens sowie kognitiver Erschließung.
Diversity and antioxidant activity of endophytic fungi isolated from salam (Syzygium polyanthum)

Abstract. Widjajanti H, Elfita, Sari MT, Hidayati N, Hariani PL, Setiawan A. 2023. Diversity and antioxidant activity of endophytic fungi isolated from salam (Syzygium polyanthum). Biodiversitas 24: 3051-3062. Salam (Syzygium polyanthum (Wight) Walp. ) is a medicinal plant from the family Myrtaceae. The leaves are used as a spice and treat diseases such as diabetes mellitus, hypertension, ulcers, diarrhea, gastritis, and skin. This study aimed to determine endophytic fungi's diversity and antioxidant activity in the S. polyanthum plant. In addition, the distribution of endophytic fungi found on S. polyanthum was compared to that of previously reported endophytic fungi on other species of Syzygium. The distribution pattern of these endophytic fungi is needed to determine the presence of potential endophytic fungi that can live in host plants of the same genus. The endophytic fungi were isolated from fresh root bark, stem bark, and leaf tissues of S. polyanthum. The endophytic fungi were identified morphologically to determine their level of diversity; their extract was then tested for their antioxidant activity using the DPPH method. The extract that showed the highest antioxidant activity was identified molecularly. A total of 18 endophytic fungi were obtained from S. polyanthum, including seven isolates from root bark (HSA1–HSA7), four isolates from stem bark (HSB1–HSB4), and seven isolates from leaves (HSD1–HSD7). The morphological identification showed seven genera scattered in all investigated parts: Trichoderma, Penicillium, Aspergillus, Pythium, Papulaspora, Pythiogeton, and Clonostachys. The HSD5 isolate showed the best antioxidant activity, and the molecular identification confirmed this isolate as Clonostachys rosea. The comparison of the distribution of endophytic fungi isolated from S. polyanthum to endophytic fungi isolated from the host genus Syzygium showed that endophytic fungi of three genera, namely Clonostachys, Papulaspora, and Pythiogeton, are specifically found on S. polyanthum. In addition, those of four other genera, namely Trichoderma, Aspergillus, Penicillium, and Pythium, are found on other species of Syzygium.
Acoustic SLAM With Moving Sound Event Based on Auxiliary Microphone Arrays

Acoustic simultaneous localization and mapping (ASLAM) aim to map the positions of sound sources while passively localizing the microphone array embedded in the robot platform. In this paper, an ASLAM method with auxiliary microphone arrays based on dual interacting multiple models and unscented Kalman filter (D-IMM-UKF) is proposed for the single moving source scenario. Firstly, a dual-unscented Kalman filter is presented, which can simultaneously track the robot and the speaker. Then, the interacting multiple models are adopted for the different motion dynamics of a robot and a speaker in space. To avoid the underdetermined condition when only the acoustic information is available, a small number of static microphone arrays are employed. Finally, the moving robot’s and speaker’s positions are estimated by the D-IMM-UKF algorithm. It can obtain the trajectories of the robot’s and speaker’s movements smoothly with good tracking accuracy. Experimental results verify the effectiveness of the proposed method.
En Coup de Sabre in a Pediatric Patient Treated With Calcipotriene

En coup de sabre (ECDS) is a form of linear scleroderma or morphea that distinctly appears on the forehead and/or frontoparietal scalp. We report a case of a 6-year-old female that presented with a linear, hyperpigmented scar on her left forehead extending to her scalp with resultant alopecia and discoloration in the affected area. The patient was subsequently treated with topical calcipotriene ointment and had an excellent response with normalization of the sclerotic skin, hair regrowth, and improved hyperpigmentation. This report demonstrates that a conservative approach to treating pediatric patients with ECDS via calcipotriene ointment can be safe and effective.
Polarimetric SAR image classification based on kernel sparse representation

Polarimetric SAR obtains rich target scattering information by utilizing different polarizations to transmit and receive radar signals alternately, which has become an important tool for ground exploration. Presently, there are still some problems about the classification of PolSAR image because of the nonlinear data. Nonlinear features often lead the data difficult to distinguish in the conventional dimensions. Kernel method maps data to high-dimensional space, making the linearly inseparable data in the original dimension can be linearly separated in the high-dimensional space. Based on the study of the features of PolSAR data and signal sparse representation theory, this paper proposes a PolSAR image classification method based on kernel sparse representation, which optimizes the polarimetric and spatial information in PolSAR data, uses the kernel function method to solve the adverse effect of the nonlinear features on the classification results in the PolSAR image to obtain more accurate classification results. The experiment uses the fully polarimetric SAR data in San Francisco in the United States obtained by airborne AIRSAR, the advantages of kernel sparse representation in PolSAR image classification can be seen from the results.
Incorporating Spatial Distribution Feature with Local Patterns for Content-Based Image Retrieval

Local patterns record the gray-level differences between a referenced pixel in an image and its surrounding pixels, which have been commonly used to describe the image features. However, traditional local patterns ignore the spatial distribution feature of texture information in images. We group the gray-level variations along three directions, i.e., horizontal, vertical, and diagonal directions. Each group is then merged into a Local spatial distribution pattern (LSDP) to represent the spatial distribution image feature. We also construct the LSDP patterns for gradient and filtered images, and finally form the Complete local spatial distribution pattern (CLSDP) descriptor to completely describe the texture image feature. Experiments on textural and natural image sets were conducted to compare our CLSDP-based image retrieval algorithm with four previous competitors. The results show that our method is superior to existing algorithms considering both average precision and recall.
Application of Magnetic Particles for Fast Determination of Immunoreactive Fraction of 68Ga-Labelled VHH Antibodies to PD-L1

Quantification of the immunoreactive fraction (IRF) of radioactive isotope-labeled antibodies or their fragments is necessary to assess the specific activity of radiopharmaceuticals. Traditionally, cells expressing the target molecules on their surface are used to determine IRF, but such analysis is time-consuming and has difficulties with standardization. The aim of the study was to develop a fast and reliable method for quantitative determination of IRF by 68Ga-labeled VHH antibodies to PD-L1 based on the use of magnetic particles coated with antigen molecules. Materials and Methods Commercially available magnetic particles coated with protein A have been used in our study. The antigen conjugated with the Fc fragment (PD-L1-Fc) was immobilized on the particles. The IRF value of 68Ga radionuclide-labeled nanobodies (VHH) against PD-L1 (68Ga-VHH-PD-L1) was determined using magnetic particles coated with antigen molecules and cells expressing the antigen on their surface. When VHH antibodies were conjugated to 68Ga radionuclide, protein molecules were modified using bifunctional chelating agents: tetraazacyclododecanetetraacetic acid (DOTA) or deferoxamine (DFO). The magnitude of IRF was defined as the ratio of radioactivity specifically bound to particles or cells to the total radioactivity added to the sample. Results The specificity of the 68Ga-VHH-PD-L1 radioimmunoconjugate binding to the antigen-coated magnetic particles has been proved. Some special aspects, which should be taken into consideration when using this method, have been established. The comparison of the IRF estimates using the antigen-expressing cells and magnetic particles has not revealed any significant differences in the results obtained in our study. Nevertheless, the presented method based on magnetic particles with immobilized antigen molecules requires only 15 min to determine the radioimmunoconjugate IRF, which is of fundamental importance for the routine assessment of the specificity of radiopharmaceuticals containing short-lived isotopes.
Goodness-of-fit tests for the logistic distribution based on empirical transforms

In this paper goodness-of-fit tests for the logistic distribution are proposed that are based on weighted integrals involving empirical transforms. The consistency of the test based on the empirical characteristic function as well as its asymptotic distribution under the null hypothesis are investigated. In a particular case, as the decay of the weight function tends to infinity the test statistic approaches a limit value. The resulting limit statistic is related to the first nonzero component of Neyman's smooth test for this distribution. The new tests are compared with other omnibus tests for the logistic distribution.
Locus specific endogenous retroviral expression associated with Alzheimer’s disease

Introduction Human endogenous retroviruses (HERVs) are transcriptionally-active remnants of ancient retroviral infections that may play a role in Alzheimer’s disease. Methods We combined two, publicly available RNA-Seq datasets with a third, novel dataset for a total cohort of 103 patients with Alzheimer’s disease and 45 healthy controls. We use telescope to perform HERV quantification for these samples and simultaneously perform gene expression analysis. Results We identify differentially expressed genes and differentially expressed HERVs in Alzheimer’s disease patients. Differentially expressed HERVs are scattered throughout the genome; many of them are members of the HERV-K superfamily. A number of HERVs are correlated with the expression of dysregulated genes in Alzheimer’s and are physically proximal to genes which drive disease pathways. Discussion Dysregulated expression of ancient retroviral insertions in the human genome are present in Alzheimer’s disease and show localization patterns that may explain how these elements drive pathogenic gene expression.
Siamska nevronska mreža za detekcijo gibanja v video sekvencah

V diplomski nalogi obravnavamo problem avtomatske detekcije gibanja v video sekvencah posnetih z video nadzornimi sistemi. Trenutno najuspesnejse metode uporabljajo konvolucijske nevronske mreže za resevanje tega problema. Bistvena omejitev teh pristopov je v tem, da potrebujejo ponovno ucenje za razlicne video sekvence, kar zmanjsa njihovo aplikativno vrednost. V diplomskem delu predstavimo novo metodo, ki temelji na arhitekturi siamskih konvolucijskih mrež. Mreža s pomocjo siamske arhitekture semanticno opise vhodno sliko sekvence ter model ozadja sekvence. Nadaljnji konvolucijski nivoji detektirajo relevantne razlike ter generirajo verjetnostno masko segmentacije gibanja. Z metodo lahko detekcijo gibanja izvajamo na razlicnih video sekvencah brez ponovnega ucenja. Za izvajanje potrebujemo le referencno sliko ozadja sekvence, ki jo nato tekom casa samodejno posodablja. Mrežo smo ucili na podatkovni zbirki CDNET. Pridobljene rezultate smo primerjali s preostalimi metodami, objavljenimi na spletni strani CDNET. Nasa metoda se je po uspesnosti uvrstila na osmo mesto izmed 46 objavljenih algoritmov. Mrežo smo ocenili tudi na evalvacijskih zbirkah Wallflower ter SGM-RGBD, kjer smo jo preizkusili v razlicnih okoliscinah ter podali kvalitativno analizo njenega delovanje.
Occupational Stress and Its Effects on Nurses at a Health Facility in Ho Municipality, Ghana

Introduction The prevalence of occupational stress among nurses varies significantly around the globe. Nursing is often considered a stressful occupation and can have negative effects on the mental, physical, family relationships, and quality of care given to patients. The aim of this study was to explore the experiences, causes, effects, and coping strategies of occupational stress among nurses working at a health facility in Ho Municipality in Ghana. Methods The study employed a qualitative research approach with an exploratory design. Data saturation was reached with 18 participants. Purposive sampling was used to select participants, while semistructured interview guide with voice recorders were used in data collection. Data were manually transcribed and analyzed using thematic analysis. Results Overall, four main themes and ten subthemes were developed from this study. The main themes were nurses’ perception of occupational stress, sources of occupational stress, effects of occupational stress, and coping strategies adopted to cope with occupational stress. The subthemes were as follows: negative and positive stressful feeling, individual level, hospital level, general body pain and fatigue, mental health problems, ineffective relationships, low work output, diversional therapy, positive work outcomes, and psychological support from others (family and colleagues). Discussion There are more negative effects of occupational stress on nurses. However, most of the nurses adopted coping strategies to reduce stress with little or no support from the hospital. More support from the hospital will be required to totally manage occupational stress. Conclusion The study findings revealed how stress affects the daily life and work output of nurses. It is crucial to comprehend how work-related stress affects nurses and what aspects of their workplace are the most burdensome.
Conductance, the Normalized Laplacian, and Cheeger's Inequality

These notes are not necessarily an accurate representation of what happened in class. The notes written before class say what I think I should say. I sometimes edit the notes after class to make them way what I wish I had said. There may be small mistakes, so I recommend that you check any mathematically precise statement before using it in your own work. These notes were last revised on September 21, 2015.
A low-profile antenna system with compact new structure for reducing mutual coupling

ABSTRACT This paper proposes a low-profile antenna system with the compact new structure for reducing mutual coupling. A rectangular artificial magnetic conductor (AMC) reflector plane is utilized to decrease the height of the proposed antenna. By adopting two new approaches, the isolation is significantly increased in an antenna system. Firstly, two inverted H-shaped metal walls with a low profile are introduced to suppress electromagnetic spatial couplings. Secondly, thanks to a compact folded T-shaped branch the electromagnetic surface wave couplings are reduced rapidly. An impendence bandwidth of 20.6% is achieved, ranging from 2.44 GHz to 3 GHz for |S11|<-10 dB. Owing to the inverted H-shaped metal walls and the compact folded T-shaped branch introduced, the isolation is significantly improved by almost 20 dB in the most band. Besides, the envelope correlation coefficient (ECC) calculated by radiation pattern is less than 0.01. Finally, fabrication and measurement of the construction are presented to demonstrate the proposed methodology.
A GOVERNANÇA CORPORATIVA AFETA A ESTRUTURA DE CAPITAL? EVIDÊNCIAS DAS EMPRESAS LISTADAS NA BRASIL BOLSA BALCÃO NO PERÍODO 2010-2020

As especificidades e o dinamismo do mercado brasileiro, frente às transformações nas corporações, requerem a periódica atualização dos estudos acerca da estrutura de capital das empresas brasileiras. A teoria da agência conecta a estrutura de capital à governança corporativa que tem como uma de suas funções a salvaguarda dos direitos dos acionistas. Nesse sentido, o objetivo deste estudo foi analisar a relação entre governança corporativa e a estrutura de capital das empresas brasileiras. Para tanto, foram utilizados modelos de dados em painel em uma amostra composta por 118 empresas não financeiras com ações negociadas pela Brasil Bolsa Balcão entre os anos de 2010 e 2020. Além dos Níveis Diferenciados de Governança Corporativa, utilizou-se um índice de avaliação da qualidade da governança para o mercado de capitais brasileiro, criado a partir de questões objetivas com intuito de representar os mecanismos de governança apontados pela literatura como capazes de reduzir os conflitos de agência. Evidenciou-se que a governança corporativa parece não influenciar a estrutura de capital das empresas brasileiras, ou seja, há outros fatores relevantes na decisão do gestor no que tange o endividamento, como variáveis macroeconômicas, por exemplo. Ademais, constatou-se que a Teoria Pecking Order revelou-se a mais adequada em explicar o nível de endividamento geral e de curto prazo, enquanto para o endividamento de longo prazo, a relação entre as variáveis não apontou o predomínio de nenhuma das teorias analisadas. Esses resultados são importantes para os gestores e acionistas das empresas que demandam capital de terceiros para financiar suas atividades, assim como para os credores que necessitam reduzir seus riscos de crédito.
A Further Study of the Preferred Mode of Cumulus Convection in a Conditionally Unstable Atmosphere

Numerical experiments are made to determine a preferred mode of cumulus convection in a conditionally unstable atmosphere. The model developed in the previous study (Asai and Nakasuji, 1977) is extended to deal with water vapor explicitly. The preferred mode of cumulus convection is regarded as the steady convection cell attained eventually after a random potential temperature disturbance is imposed initially. It is shown that the preferred scale of the convection cell and the preferred cloud coverage depend on mean vertical velocity, static stability and relative humidity. It is confirmed that the preferred cumulus convection minimizes the potential energy and consequently the mean temperature lapse-rate in the convective layer.
Enlarged GMRES for reducing communication

We propose a variant of the GMRES method for solving linear systems of equations with one or multiple right-hand sides. Our method is based on the idea of the enlarged Krylov subspace to reduce communication. It can be interpreted as a block GMRES method. Hence, we are interested in detecting inexact breakdowns. We introduce a strategy to perform the test of detection. Furthermore, we propose an eigenvalues deflation technique aiming to have two benefits. The first advantage is to avoid the plateau of convergence after the end of a cycle in the restarted version. The second is to have a very fast convergence when solving the same system with different right-hand sides, each given at a different time (useful in the context of CPR preconditioner). With the same memory cost, we obtain a saving of up to 50 % in the number of iterations to reach convergence with respect to the original method.
Semantics of multi-mode DAE systems

Hybrid systems modelers exhibit a number of difficulties related to the mix of continuous and discrete dynamics and sensitivity to the discretization scheme. Modular modeling, where subsystems models can be simply assembled with no rework, calls for using Differential Algebraic Equations (DAE). In turn, DAE are strictly more difficult than ODE. They require sophisticated pre-processing using various notions of index before they can be submitted to a solver. In this report we study some fundamental issues raised by the modeling and simulation of hybrid systems involving DAEs. The objective of this work is to serve for the evolution and the design of future releases of the Modelica language for such systems. We focus on the following questions: * What is the proper notion of index for a hybrid DAE system? * What are the primitive statements needed for a DAE hybrid systems modeler? The differentiation index for DAE explicitly relies on everything being differentiable. Therefore, generalizations to hybrid systems must be done with caution. We propose relying on non-standard analysis for this. Non-standard analysis formalizes differential equations as discrete step transition systems with infinitesimal time basis. We can thus bring hybrid DAE systems to their nonstandard form, where the notion of difference index can be firmly used. From this study, general hints for future releases of Modelica can be drawn.
Cloak Scavenges the Reactive Oxygen Species around the Larvae of Drino inconspicuoides (Diptera: Tachinidae)

Simple Summary The tachinid fly Drino inconspicuoides parasitizes various lepidopteran larvae, including Noctuidae and Nymphalidae. The adult female oviposits the eggs on the surface of the host, and the hatched larvae immediately penetrate into the host hemocoel and develop there during the larval stage. The caterpillar possesses immune defense mechanisms to eliminate such invaders, but the tachinid larva can avoid these defenses. Within 24 h, the parasitizing larva is surrounded by a black pigmented structure called the “funnel”, and the larva and the funnel are wrapped with a cottony structure called the “cloak”. The funnel is a physically rigid structure that penetrates the epidermis of the host, allowing the larva to breathe through contact with the outside air. This study aimed to clarify the function of the cloak, which has not previously been elucidated. Our findings suggest that formation of the funnel generates ROS, but that these are detoxified in the cloak to enhance the survival of the tachinid larva. The funnel and cloak are composed of host cells. Our study provides insight into the parasitic strategy of a tachinid fly by through which it ingeniously diverts host cells. Abstract Drino inconspicuoides (Diptera: Tachinidae) is an endoparasitoid that develops inside the lepidopteran host. When the larva of D. inconspicuoides penetrates into the host, Mythimna separata (Lepidoptera: Noctuidae), the larva creates a cap-like structure, called the funnel, by using host hemocytes, forming a respiratory attachment to permit efficient respiration. A newly described cloudy and cottony structure, called the “cloak”, is formed outside the funnel within 24 h of parasitism. The cloak contains the host fat body and hemocytes. In this study, we aimed to clarify the function of the cloak, which has to date remained unknown. We hypothesized that the funnel generates reactive oxygen species (ROS) through melanization, and that the cloak detoxifies them. We confirmed that the black pigments of the funnel were caused by melanization, which inevitably generates ROS that are potentially harmful to the D. inconspicuoides larva inside the funnel. The cloak showed high activities of antioxidant enzymes, including superoxide dismutase, glutathione peroxidase, and catalase. These results suggest that the cloak scavenged the ROS from the melanized funnel through the diversion of antioxidant enzymes in the fat body, thereby protecting the D. inconspicuoides larva from oxidative damage.