Miracle-dz/UniFAR-FTUs huggingface dataset:
Frequent lower respiratory tract disease in hematological patients with parainfluenza virus type 3 infection

Human parainfluenza virus type 3 (HPIV‐3) may cause lower respiratory tract infection disease (LRTI‐D) after hematopoietic stem cell transplantation (HSCT). Most previous have studies focused on recipients of HSCT whereas data on characteristics and outcomes in patients with hematological malignancies (HMs) compared to non‐hematological patients are limited. The prognostic value of viral load in respiratory specimens remains elusive. In a 2‐year retrospective study, we determined the frequencies of LRTI‐D in HM, HSCT, and in non‐hematological patients, and HPIV‐3 levels in respiratory tract secretions. Among 98 patients with HPIV‐3 infection, including 31 HSCT and 40 HM, 36 had a diagnosis of LRTI‐D. LRTI‐D was significantly more frequent in patients with HM or HSCT (n = 32, 45.1%) than in non‐hematological patients (n = 4, 14.8%) (p = 0.006). The median HPIV‐3 loads were high in upper respiratory tract secretions regardless of the presence or absence of LRTI‐D (8.3 log10 vs. 7.6 log10 TCID50/106 cells). HPIV‐3 loads in respiratory tract samples in HM were not significantly higher than those found in HSCT but significantly higher than in non‐hematological patients (p = 0.007). In conclusion, LRTI‐D was frequent in HM patients who were diagnosed with HPIV‐3 infection.
Affect labelling increases the intensity of positive emotions

ABSTRACT Although affect labelling has been widely reported to decrease negative emotions, it is less clear whether affect labelling also decreases positive emotions. In four studies, we explored how affect labelling (choosing the emotion that best corresponds with the image), content labelling (choosing the word that best corresponds with the content of the image), and simply viewing images influence positive and negative emotions. Labelling positive emotions led participants to report higher positive emotional intensity than did content labelling or just viewing the image (Study 1, N = 49), and this effect persisted regardless of whether they labelled emotions during or after the image (Study 2, N = 116), rated the intensity or positivity of their emotions (Study 3, N = 120), or rated their emotions after a delay or no delay (Study 4, N = 120). Surprisingly, we did not replicate the previous findings on affect labelling and negative emotion, instead showing that content labelling of negative emotional images tended to be the most consistent predictor of decreased negative emotions. Our results challenge the formulation that affect labelling leads to the automatic downregulation of emotions and instead suggest that it might be an effective mechanism in the upregulation of positive emotions.
A balancing act: An interpretive description of healthcare providers’ and families’ perspective on the surgical experiences of children with autism spectrum disorder

Children with an autism spectrum disorder (autism) are vulnerable to negative experiences within the surgical setting. This qualitative study used Interpretive Description. Individual interviews were conducted with 8 parents of children with autism who had recently undergone surgery, and 15 healthcare providers (HCPs) with experience caring for children with autism. Participants were asked open-ended questions on the approaches used to support children with autism around the time of surgery and their effectiveness, how the surgical experience could be improved, and the barriers and facilitators to potential improvements. Results yielded three main themes within an overarching metaphor of a balancing act. The first theme, finding your footing through an uncertain journey, described individual factors (e.g. anticipatory anxiety) that set the foundation for surgery-related experiences. The second theme, relationships can help to keep everyone steady, highlighted how interpersonal dynamics (e.g. collaboration and empathy) influence the experience. Finally, the systems shape the experience theme captured the impact of systemic factors (e.g. the hospital environment) on the balancing act. These findings enriched our understanding of how individual, interpersonal, and systemic factors influence the surgical experiences of children with autism, families, and HCPs. Insights gained from this study can be used to inform future interventions. Lay abstract Children with an autism spectrum disorder (autism) often have negative experiences within the surgical setting. We conducted individual interviews with 8 parents of children with autism who had recently undergone surgery, and 15 healthcare providers (HCPs) with experience caring for children with autism. We asked open-ended questions on the approaches used to support children with autism around the time of surgery, how effective they were, suggestions for improvement, and the barriers and facilitators to improvement. Three main themes emerged within an overarching metaphor of a balancing act. The first theme, finding your footing through an uncertain journey, described individual factors (e.g. anticipatory anxiety) that set the foundation for experiences. The second theme, relationships can help to keep everyone steady, highlighted how personal interactions (e.g. collaboration and empathy) influence the experience. Finally, the systems shape the experience theme captured how systemic factors (e.g. the hospital environment) affected the balancing act. These findings enriched our understanding of the surgical experiences of children with autism, families, and HCPs by demonstrating the importance of individual characteristics, relationships, and systemic factors. Future interventions should consider this complexity and intervene not just with children, but also their parents, healthcare providers, and in policy to improve experiences.
RNfuzzyApp: an R shiny RNA-seq data analysis app for visualisation, differential expression analysis, time-series clustering and enrichment analysis

RNA sequencing (RNA-seq) is a widely adopted affordable method for large scale gene expression profiling. However, user-friendly and versatile tools for wet-lab biologists to analyse RNA-seq data beyond standard analyses such as differential expression, are rare. Especially, the analysis of time-series data is difficult for wet-lab biologists lacking advanced computational training. Furthermore, most meta-analysis tools are tailored for model organisms and not easily adaptable to other species. With RNfuzzyApp, we provide a user-friendly, web-based R shiny app for differential expression analysis, as well as time-series analysis of RNA-seq data. RNfuzzyApp offers several methods for normalization and differential expression analysis of RNA-seq data, providing easy-to-use toolboxes, interactive plots and downloadable results. For time-series analysis, RNfuzzyApp presents the first web-based, fully automated pipeline for soft clustering with the Mfuzz R package, including methods to aid in cluster number selection, cluster overlap analysis, Mfuzz loop computations, as well as cluster enrichments. RNfuzzyApp is an intuitive, easy to use and interactive R shiny app for RNA-seq differential expression and time-series analysis, offering a rich selection of interactive plots, providing a quick overview of raw data and generating rapid analysis results. Furthermore, its assignment of orthologs, enrichment analysis, as well as ID conversion functions are accessible to non-model organisms.
Community Detection by Node Betweenness and Similarity in Complex Network

Community detection of complex networks has always been a hot issue. With the mixed parameters μ increase in network complexity, community detection algorithms need to be improved. Based on previous work, the paper designs a novel algorithm from the perspective of node betweenness properties and gives the detailed steps of the algorithm and simulation results. We compare the proposed algorithm with a series of typical algorithms through experiments on synthetic and actual networks. Experimental results on artificial and real networks demonstrate the effectiveness and superiority of our algorithm.
Monetary Policy, Neutrality and the Environment

We study the interaction between monetary and fiscal policies in a Ramsey-Sidrauski model augmented with environmental capital. Equilibrium solutions are studied through the “Green Golden Rule”. Despite the non-separability of money in utility and intertemporally non-separable preferences, money is environmentally neutral. Policy impacts the environment via the marginal rate of transformation rather than the marginal rate of substitution between consumption and environment. Fiscal policies, lump sum and distortionary, under a balanced budget, are also environmentally non-neutral. Only under a non-balanced budget, when deficits are monetized, is money environmentally non-neutral. In alternative approaches (Cash-in-Advance, Transactions Costs), money is environmentally non-neutral. JEL Classification: E52, E62, H23
Satellite Image Analysis for Building Detection and Natural Disaster Damage Classification

In the aftermath of natural disasters, timely detection of where damages have happened and dispatching rescue teams can save thousands of lives. To determine where efforts need to be focused, a human assessment of damage is usually required. These assessments take time and money and have inherent risk. To try and solve this problem, we worked on a two-step model that would take satellite images as input, detect buildings, and determine whether or not a building is critically damaged to warrant attention. Utilizing a ResNet50 infrastructure, we were able to obtain high training accuracy on damage classification, above what we expect a human can achieve. However, the accuracy on our testing set showed that improvements can be made to reduce variance. Our attempt at using L2 weights regularization is promising and given the right parameter value it is expected that the model will not overfit to the training data and perform better on the testing data. For building detection, we use Mask R-CNN (based on FPN for object detection and RESNET101 backbone). However, our model’s performance was suboptimal in part due to computational challenges and time restrictions we faced.
Martin-Luther-Universität Halle-Wittenberg

Angaben zur Person: Bewerbernummer der MLU bzw. Bewerber-ID im Dialogorientierten Serviceverfahren _____________________ Name ______________________________________ Vorname ____________________________________ Geburtsdatum: ______________ E-Mail-Adresse: ____________________________________________ Angaben zum beantragten Studiengang: Abschlussart: ____________________________________________________________________________ (Bachelor mit Leistungspunkten, Staatsprüfung, Lehramt mit Schulstufe)
Design & Control of Vehicle Boom Barrier Gate System using Augmented 2 H Optimal & H  Synthesis

mustefa.jibril@ddu.edu. et Abstract: A vehicle boom barrier gate system is one of the recently developed technologies operating at the entrances to the restricted areas. This paper aims to design and control of vehicle’s boom barrier gate system using robust augmentation technique. 2 H optimal and H  synthesis controllers are used to improve the performance of the system. The open loop response analysis of the vehicle boom barrier gate system shows that the input of the system need to be improved. Comparison of the vehicle boom barrier gate system with 2 H optimal and H  synthesis controllers have been done to track a set point desired angular position using a step and operational open and close input signals and a promising results
On the Low-mass Planethood Criterion

We propose a quantitative concept for the lower planetary boundary, requiring that a planet must keep its atmosphere in vacuum. The solution-set framework of Pečnik and Wuchterl (2005) enabled a clear and quantitative criterion for the discrimination of a planet and a minor body. Using a simple isothermal core-envelope model, we apply the proposed planetary criterion to the large bodies in the Solar System.
Xm 2013 – Extreme Modeling Workshop Proceedings Program Committee Supporting Agility in Mde through Modeling Language Relaxation . . . . . . . . . . . 21 Keynote Agile versus Mde -friend or Foe?

In this paper we demonstrate how diagrams constructed using general-purpose drawing tools in the context of agile language development processes can be annotated and consumed by model management programs (such as simulators, model-to-model and model-to-text transformations). The aim of this work is to enable engineers to engage in programmatic model management early in the language development process, so that they can explore whether or not the languages and models constructed are fit for purpose. We demonstrate a proof-of-concept prototype developed atop the Epsilon platform and a flexible graph definition language (GraphML).
PEMBUATAN MODUL KONTROL KUALITAS AIR TAMBAK UDANG SEBAGAI SARANA PEMBELAJARAN PERBAIKAN TEKNIK BUDIDAYA UDANG

Kondisi lingkungan tambak terkait erat dengan kualitas air tambak yang tercermin dari beberapa parameter. Masalah yang dibahas dalam penelitian ini adalah merancang sebuah simulasi tentang sistem pengontrolan kualitas air tambak dalam sebuah modul kontrol. Dalam hal ini, hanya diambil empat sifat yang berpengaruh besar terhadap kualitas air tambak, yaitu: salinitas, kandungan oksigen (dissolved oxygen atau DO), temperatur, dan pH. Hasil simulasi model tambak pada komputer menunjukkan bahwa pengontrol berdasarkan logika fuzzy dapat mengendalikan temperatur air tambak di sekitar 28°C dalam waktu sekitar 34 jam. Sedangkan pengontrol berdasarkan metode on-off dapat mengendalikan salinitas air tambak di daerah 22 ppt – 28 ppt. Jika nilai salinitas dan temperatur dapat dikontrol, maka secara tidak langsung nilai DO juga terkontrol, namun tidak dengan pH. Modul kontrol yang diperoleh dari perangkat lunak ini dapat digunakan untuk memberikan pemahaman wawasan perbaikan teknik budidaya udang. Hasil simulasi model tambak pada miniplant menunjukkan bahwa pengendali on-off dengan menggunakan pompa sebagai aktuator terbukti dapat menjaga nilai salinitas pada daerah 10 – 35 ppt dalam waktu sekitar 1 menit. Sedangkan pengendali fuzzy dengan menggunakan kincir air sebagai aktuator terbukti dapat menjaga temperatur di sekitar 28°C. Akibat sulitnya aktuator, parameter pH dikendalikan secara manual sehingga membutuhkan monitoring pH yang handal. Modul kontrol yang diperoleh dari perangkat keras ini dapat digunakan untuk memberikan pemahaman teknis tentang perbaikan budidaya udang.
An Empirical Assessment of Corporate Social Responsibility in Banking Industry: Construct Development and Validation

Corporate social responsibility (CSR) is one of the responsibility practices for the organization to take care of and maintain a good relationship with its stakeholders. The corporate social responsibility includes the organization's responsibilities towards their various stakeholders like customers, shareholders, employees, environment, and community. In recent years CSR practiser and academicians put numerous efforts to measure the stakeholder perceive a level of CSR but it remains unclear how the stakeholder perceiving the CSR activities of the organization. The objective of the study is to construct and develop a CSR activities measurement scale for the banking industry. The development of the scale is based on the three-stage technique proposed by Churchill (1979). Through the literature review, the items for the CSR scale were formulated. Using these items survey was conducted in the banking industry. The CFA was done to know the reliability and validity of the scale and it found to be acceptable. The model fit was tested by using the Structural equation modeling (SEM) technique and the result of the model providing strong evidence to support the hypothesis.
Hybridization of roles: examining the influence of managerial leadership on in strategy implementation in Commercialised State Enterprises in Zimbabwe’s Postal and Telecommunication Sector

The study aimed to explore the influence of managerial leadership on strategy implementation success implementation in Commercialised State Enterprises in Zimbabwe’s Postal and Telecommunication Sector. The enquiry was based on a 5 point level of agreement likert scale with a total of 478 respondents from a possible 835 targeted respondents. Survey data was presented in tables using percentiles, mean, mode and standard deviation scores. Data was analysed though linear regression’s ANOVA. The study findings indicate that there is a positive relationship between low level management ability to effectively deploy managerial leadership skills and strategy implementation effectiveness. Low level managerial leadership in Commercialised State Enterprises in Zimbabwe’s Postal and Telecommunication Sector was found to positively influence objectives achievement. The study recommended top management to facilitate skills development for middle level managers in line with specific strategy and its intended outcomes in order to increase their level of effectiveness during strategy implementation.
Social and Emotional Learning in Afterschool Settings: Equity Evaluations, Recommendations, and Critiques.

Although SEL has been integrated into many schoolbased programs to support student success, afterschool or out-of-school time (OST) programs are uniquely suited to SEL development. OST programs provide the opportunity for niche, interest-based projects that are emotionally engaging for youth; they also foster close adult relationships and opportunities for youth agency and leadership, among many other features (Olson, 2018). SEL can have an incredibly powerful impact on equity efforts. It can enhance academic, emotional, social, and career wellness—areas of youth and human development that are all directly and severely affected by inequity. That said, the application of SEL to OST is rife with equity issues and concerns. These considerations are critically important in light of the reality of systemic oppression—the context in which everything “social” exists. One cannot consider the Veronica Benavides, Shakirra Meghjee, Tasha Johnson, Aasha Joshi, Christine Ortiz, and Victor Rivera
The Role of MANET in Collaborating IoT End Devices: A New Era of Smart Communication

Merging of MANET with IOT utilized in inevitable knowledge situations opens new possibility in checking and makes another communication stage for various applications in Internet of Things (IoT). Sensors utilized for IoT applications, sense nature and send the data to the gateway hub, which then send the congregated information to the MANET hub, particularly used for information gathering. MANET plays a key function, which is used as the foundation of the IoT arrange. Because of its intrinsic properties, the MANET hubs can assemble unconstrained associations with different hubs without the need of any base. MANET hubs can turn over the IoT procedure and accumulate information from the sensors and or any fixed Radiocommunication nodes. MANET cores can be utilized as key advances in a few applications in IoT. Because of the idea of self-designing, MANET hubs just as the sensor hubs can be sent in huge possibility. In this paper we have taken a survey of MANET and IOT various applications in running era and corelating various computing techniques like cloud, fog and edge with MANET and IOT. This examination is an improvement and usage of existing versatile specially selected procedure communication exploiting the in the structure of the IoT.
Plasma distribution of non-cholesterol sterols precursors of cholesterol synthesis and phytosterols depend on HDL concentration

Background Because several sterols are carried by serum lipoproteins that are pivotal in cholesterol metabolism and atherosclerosis this study aimed at investigating their lipoprotein distribution in individuals differing according to HDL-C plasma levels. Methods Healthy participants were selected with plasma HDL-C concentrations < 40 mg/dL (Low HDL, n = 12), above 40 mg/dL and below 60 mg/dL (Controls, n = 10), or above 60 mg/dL (High HDL, n = 15). Plasma lipoproteins were separated by sequential ultracentrifugation. [27-OHC]), noncholesterol sterols precursors of cholesterol synthesis (NCSPCS: desmosterol and lathosterol) and phytosterols (campesterol and sitosterol) were measured by GC-MS analysis. Diferences between groups were compared by Kruskall-walys and Dunn's post-test with correction by Bonferroni. Results The groups were similar in about BMI, age, gender distribution and blood glucose, total cholesterol and LDL-C. The High HDL group had lower concentrations of triglycerides and VLDL-C compared to others. Percentage distribution of plasma 24-OHC and 27-OHC in lipoproteins did not differ among investigated groups, but plasma concentration of 24-OHC was lower in High HDL than in Low HDL (27- OHC significance difference was borderline). NCSPCS and phytosterols predominate in LDL, which carries approximately 50% of these molecules. Approximately 30% of desmosterol and lathosterol are present in HDL, the High HDL group carrying higher percent of both sterols than the Low HDL and Control groups. Less than 20% of NCSPCS are transported in VLDL. Concentration of plasma campesterol and sitosterol did not differ among groups. However, LDL sitosterol percent distribution is lower in High HDL than in Low HDL and Controls. Campesterol and sitosterol percent distributions are higher in High HDL than in the Low HDL group. Conclusions Elevated NCSPCS in the High HDL group suggests HDL facilitates the export of these sterols from cells but not the export of the cholesterol metabolite 24-OHC which is lower in the High HDL than in the Low HDL group. Percent campesterol and sitosterol elevated in HDL suggests phytosterols absorbed in the enterocytes are incorporated mostly into the nascent HDL.
Production of recycled EPS fibers by centrifugal spinning

Centrifugal spinning is a new technique for producing of nano and microfibers that has a great differential: a higher production rate than those presented by traditional methods. Due to a great interest in using nano and microfibers in technological applications along with the environmental interest in polymer recycling, this research had the purpose of production fibers by centrifugal spinning from the expanded poly-styrene recycling and the evaluation of the influence of operational parameters such as the concentration of polymer solution and the speed of rotation in the average diameter and in the distribution of the diameters of fibers formed. The fibers obtained were characterized using the Scanning Electronic Microscopy (SEM) and they had their diameters measured using ImageJ software. The fibers obtained in this research were entangled, woven, fused, with a rough and porous surface, with bead formation and without directional ordering. The results obtained show that the polymer solution concentration was the most influential parameter in the fibers analyzed characteristics and, in general, its increase generates an increase in the average diameter. With the increase in rotation speed, there has been often a reduction in the presence of beads and microparticles due to the better stretching of the fibers. In less concentrated solutions, continuous fibers with more regular surfaces were obtained, however, promoting the higher production of beads. In the most concentrated solutions, we noticed the formation of porous fibers and very rough surfaces, as well as fused and woven fibers. Through the measurement of its diameters, it was possible to observe the obtaining of fibers with average diameters of 407,02 nm to 38113,20 nm, and the smallest value was obtained with the parameters of 5% w/w of polymer concentration and rotation speed of 15000 rpm and the highest value had 15% w/w concentration polymer and 10000 rpm. Keywords: centrifugal spinning, nanofibers, microfibers, recycled expanded polystyrene. 1