Miracle-dz/UniFAR-FTUs huggingface dataset:
EXPLORING THE ENTREPRENEURIAL PROFILE, COMPETENCIES, INTENTIONS AND ATTITUDES

Entrepreneurship education aims to contribute to the emergence of innovative skills, abilities, and competencies in people, in the most diverse sectors and branches of activity of contemporary society, regardless of the intention to establish a new start-up. This study explores the development of entrepreneurial competencies, intentions and attitudes offered by a higher education institution through the adoption of the eValueComp assessment tool. It offers significant contributions to the business education field particularly aimed at higher education professors who intend to place the student in a more active position and provide an entrepreneurial education, which will be useful for their future professional career. The findings revealed a significant increase of entrepreneurial competencies, general entrepreneurial attitudes, and perception of entrepreneurial feasibility. However, entrepreneurial intentions have evolved only marginally. Furthermore, the age and number of years of professional experience are two correlated factors that contribute to students having a greater perception of the risks associated with the entrepreneurship process. Resumen La educación emprendedora tiene como objetivo contribuir a la aparición de habilidades, destrezas y competencias innovadoras en las personas, en los más diversos sectores y sectores de actividad de la sociedad contemporánea, independientemente de la intención de establecer una nueva empresa. Este estudio explora el desarrollo de las competencias, intenciones y actitudes empresariales que ofrece una institución de educación superior mediante la adopción de la herramienta de evaluación eValueComp. Ofrece importantes contribuciones al campo de la educación empresarial, especialmente dirigidas a los profesores de educación superior que pretenden colocar al estudiante en una posición más activa y proporcionarle una educación empresarial, que le será útil para su futura carrera profesional. Los resultados revelaron un aumento significativo de las competencias empresariales, las actitudes empresariales generales y la percepción de la viabilidad empresarial. Sin embargo, las intenciones empresariales sólo han evolucionado marginalmente. Además, la edad y el número de años de experiencia profesional son dos factores correlacionados que contribuyen a que los estudiantes tengan una mayor percepción de los riesgos asociados con el proceso emprendedor.
Unsere Vorfahren

Zusammenfassung Noch vor etwa 20 Jahren stellte man sich die Entstehung des Menschen als eine relativ gradlinige Entwicklung vor, die mit dem gemeinsamen Vorfahren von uns und den Schimpansen vor etwa 7 Millionen Jahren begann und mit uns, dem Homo sapiens aufhörte. Dem ist nicht so, wie Funde aus dem letzten halben Jahrhundert und groß angelegte Untersuchungen und Vergleiche von Genen vieler heutiger Menschen, sowie einiger historischer und prähistorischer Menschen, in den vergangenen 10 Jahren zeigten. Vor 4–2 Millionen Jahren gab es affenartige Wesen, die Australopithecine (Singular: Australopithecus) und vor 2,5 Millionen Jahren die ersten Vertreter der Gattung Mensch (Homo). Bis 2 Millionen Jahre reicht das Alter der Funde von Homo erectus zurück, dessen Gehirnvolumen im Laufe von mehr als einer Million Jahren dann von 800 cm3 auf 1200 cm3 zunahm und der dem modernen Menschen schon sehr ähnlich war. Vor 2 Millionen Jahren verbreitete er sich aus Afrika heraus nach Europa und Asien, wo der Neandertaler (in Europa) und der Denisovan-Mensch (in Asien) sich aus ihm vor etwa 400 000 Jahren entwickelt hatten. Vor etwa 200 000 Jahren entstand aus Homo erectus in Afrika Homo sapiens und wanderte vor etwa 50 000 Jahren nach Europa und Asien. Diese 3 Gruppen zeugten Nachkommen miteinander, sodass die Gene des Neandertalers vor allem in Europa und die des Denisovaners vor allem in Asien noch heute in der Bevölkerung zu finden sind. Durch genetische Analysen gelang innerhalb des vergangenen Jahrzehnts die Rekonstruktion der Ausbreitung des heutigen Menschen in einem noch vor 20 Jahren unvorstellbarem Detailreichtum. Die Konsequenzen dieser Erkenntnisse reichen mittlerweile bis hinein in die personalisierte Medizin und werden uns noch lange beschäftigen.
Exercise Capacity is Improved by Levosimendan in Heart Failure and Sarcopenia Mice via the Alleviation of Atrophy and Apoptosis of Skeletal Muscle

Background Sarcopenia, a common complication of heart failure (HF), dramatically reduces the benefits of exercise training. Levosimendan is an effective drug for the treatment of heart failure, but its relationship with sarcopenia is still unclear. We aimed to investigate the effect of levosimendan on heart failure with sarcopenia and to explore whether levosimendan can enhance skeletal muscle contractibility, improve skeletal muscle atrophy, and thus improve exercise tolerance of individuals with heart failure.Methods C57BL6/J mice were used to establish the heart failure with sarcopenia model by ligating of the left anterior descending branch combined with hindlimb unloading and were injected of levosimendan (3mg/Kg, once a week, four times in total). Mice (n=40) were divided into control group, sham operation group, HF group, HF + solvent group, HF + levosimendan group, HF + sarcopenia group, HF + sarcopenia + solvent group, HF+ sarcopenia + levosimendan group. After the treatment, exercise capacity and cardiac function were evaluated. Serum BNP, LDH, and CK content were measured. Muscle morphology, fiber type, inflammation level, and apoptosis levels were detected by histopathological and molecular biological methods. Mitochondrial function and oxidative stress level were assessed by mitochondrial membrane potential and SOD activity.Result Levosimendan could improve EF and FS in mice with HF and sarcopenia (P<0.001) and increase their forelimb grip strength, hanging impulse, maximum running distance and time (P<0.05). After correcting for EF, the improvement of exercise capacity by levosimendan remained (P<0.05). HE staining showed that levosimendan directly increased the CSA of gastrocnemius in mice with HF and sarcopenia (P<0.001). After levosimendan injection, the proportion of slow muscle fibers increased, but this improvement of muscle fiber typing might be attributed to improved cardiac function (P>0.05). Levosimendan also maintained mitochondrial membrane potential, decreased cleaved caspase-3, cleaved caspase-9, Bax expression, and increased Bcl2 expression (P<0.05). This effect is independent of improved cardiac function. IL-6, TNF-α expression decreased and SOD activity, GSH/GSSG ratio significantly increased (P<0.05) in skeletal muscle after injection of levosimendan, improved oxidative stress level. The improvement in oxidative stress level was attributed to improved cardiac function (P>0.05). Conclusion Levosimendan reduce the loss of skeletal muscle mitochondrial membrane potential, decrease the apoptosis, alleviate the inflammation and oxidative stress, and ultimately improve the exercise capacity of mice with heart failure and sarcopenia. Therefore, levosimendan may be a potential drug for the treatment of heart failure with sarcopenia.
Collagen based magnetic nanocomposites for oil removal

A stable magnetic nanocomposite of collagen and superparamagnetic iron oxide nanoparticles (SPIONs) is prepared by a simple process utilizing protein wastes from leather industry. Molecular interaction between helical collagen fibers and spherical SPIONs is proven through calorimetric, microscopic and spectroscopic techniques. This nanocomposite exhibited selective oil absorption and magnetic tracking ability, allowing it to be used in oil removal applications. The environmental sustainability of the oil adsorbed nanobiocomposite is also demonstrated here through its conversion into a bi-functional graphitic nanocarbon material via heat treatment. The approach highlights new avenues for converting bio-wastes into useful nanomaterials in scalable and inexpensive ways.
Ultralow-Power Digital Control and Signal Conditioning in GaAs MMIC Core Chip for X-Band AESA Systems

This work presents the design and characterization of an ultralow-power core chip for electronically scanned arrays at $X$ -band, implemented in 0.25-/0.5- ${\mu }\text{m}$ E-/D-mode gallium arsenide (GaAs) pHEMT technology. In particular, design details are given about the two core functional blocks embedded in the microwave monolithic integrated circuit (MMIC): a 12-bit phase and amplitude control circuit and an 18-bit serial-to-parallel (S2P) interface. The S2P interface was designed resorting to a custom symmetric device model, expressly conceived for the time-domain simulations required for digital circuits. Due to the adoption of a differential structure with resistive pull-ups, it achieves a state-of-the-art power consumption of 2.2 mW/bit and nearly 87% yield. The analog circuit includes a 6-bit phase shifter (PS) and a 6-bit attenuator. To mitigate risks, two different PS architectures have been developed and are compared in this work, discussing advantages and drawbacks of the different solutions. Since the two designs share the same target specifications, a truly fair comparison can be made not only in terms of performance but also concerning robustness and repeatability, thus providing useful guidelines for the selection of the most appropriate strategy. In particular, it is shown that one architecture outperforms the other by about 2 dB and 1.5° in terms of insertion loss and rms phase error, respectively.
Understanding the Influence of Interfacial Chemistry in Core, Core/Shell and Core/Shell/Shell Quantum Dots on their Fluorescence Properties

Colloidal semiconductor nanocrystals (quantum dots) have received a great deal of attention due to their superior size tunable properties and promising applications in many areas. Some of the most practical areas of their applications include light emitting diodes (LED), photovoltaic and biological studies. Synthetic methods of these crystals is becoming more established with new strategies being reported every now and then. However, quantitative studies connecting the processes at the interface, namely core-ligand, core-shell and shell-shells, to the overall quantum dots fluorescence properties are not well understood. Specifically for cores, relating surface-atoms interactions, solvents, ligands nature, density and functional groups on quantum yields have not been exhaustively carried out. Furthermore, for the core/shell counterparts, the connection between the qualities of the starting core on its resulting core/shell quality have been left trivial without experimental back up. Here, we summarize the reports of experiments that have systematically investigated these effects on the properties of quantum dots. Combining systematic synthetic approach with characterization tools such as FTIR, X-ray photoelectron and diffraction together with time resolved visible spectroscopies, we observed that the density, nature and the orientation of the ligand functional groups play significant roles in determining the charge carrier dynamics that results on the various quantum yields and quality of the quantum dots. The experimental results also contradicted the trivial belief that starting with a high quality core material should result into high quality core/shell quantum dots. We further extended these studies by controlling both lattice mismatch and exciton confinement potential to design small, biologically friendly and highly stable core/shell/shell material. Blinking studies confirmed an interplay of both lattice strain and exciton confinement as the major factors responsible for the blinking dynamics of these core/shell/shell quantum dots. Therefore, by controlling these parameters, we were able to observe reduced blinking quantum dots with relatively moderate shell thickness. These observations will provide a useful insight while designing these particles and enhance their future applications.
Characterization of Planar Dimensional Capabilities in Selective Photopatterning of Diacrylate and Epoxy Monomers

Digital light processing (DLP) can be used as a rapid photopatterning technique with micrometer resolution. To ensure high levels of precision and accuracy, it is required to clearly understand the actual dimensional capabilities in the horizontal plane of a patterning setup. A methodology to assess these capabilities was suggested in this study, and the following parameters were determined: The effective pixel size, the planar dimensional reproducibility, and the dimensional precision in dependence of the angular feature orientation in the x-y plane. Experimental verification of the suggested approach was carried out by using a DLP-based 3D printer. This demonstrated that the nominal pixel size stated in the technical data sheet can deviate from the effective pixel size by more than 1%. Furthermore, dimensional inaccuracies of ±5.1% depending on the feature location within the x-y plane were indicated. The dimensional precision was affected by the angular orientation in relation to the pixel grid, and small errors equivalent to ±0.05 pixels were only achievable with features placed in parallel or diagonal orientation. These results characterize the planar accuracy of DLP equipment and help minimize dimensional errors in the direct digital manufacture of microchannel and strut-like patterns.
The combination of photocatalysis process (UV/TiO2(P25) and UV/ZnO) with activated sludge culture for the degradation of sulfamethazine

ABSTRACT The major factors affecting the removal efficiency of sulfamethazine (SMT) by photocatalysis process in the presence of TiO2 P25 or ZnO, namely the pH, the amount of catalyst and the initial SMT concentration were examined. The obtained results showed the absence of adsorption of SMT on the catalysts and the absence of degradation of SMT by direct photolysis under UV light in the absence of catalyst. The variation of the pH solution in the range 4–9 did not cause any significant degradation of SMT. The optimal amounts of each catalyst were, respectively, 0.5 and 0.25 g/L for TiO2 P25 and ZnO. Increasing the initial SMT concentration impacted negatively the removal efficiency, which decreased from 31% to 13% and from 100% to 27% in the presence of TiO2 P25 and ZnO in the presence of 10 mg/L and 50 of SMT after 30-min reaction time, respectively. The obtained results showed better efficiency of ZnO than TiO2 P25 regarding both removal efficiency and chemical oxygen demand (COD) abatement. However, removal efficiency and COD abatement were not complete, even after 7 h of photocatalysis, about 92% and 41%, respectively. The biodegradability was examined after photocatalysis performed in the following conditions: [SMT]0 = 50 mg/L, pH = 6, T = 25°C, ω = 360 rpm and 0.5 g/L of TiO2 P25 or 0.25 g/L of ZnO. In these conditions, the removal efficiencies were, respectively, 26% and 41% in the presence of TiO2 P25 and 55 and 92% in the presence of ZnO after 4 and 7 h of pretreatment times, respectively. The BOD5/COD ratio increased substantially and, respectively, from 0 to 0.25 and from 0 to 0.16 in the presence of TiO2 P25 and ZnO after 7 h of irradiation. Even if the limit of biodegradability (0.4) was not achieved, a subsequent biological treatment was considered in the presence of TiO2 P25, leading to 58% COD abatement after a 28-day culture.
Synthetic versus human voices in audiobooks: The human emotional intimacy effect

Human voices narrate most audiobooks, but the fast development of speech synthesis technology has enabled the possibility of using artificial voices. This raises the question of whether the listeners’ cognitive processing is the same when listening to a synthetic or a human voice telling a story. This research aims to compare the listeners’ perception, creation of mental images, narrative engagement, physiological response, and recognition of information when listening to stories conveyed by human and synthetic voices. The results showed that listeners enjoyed stories narrated by a human voice more than a synthetic one. Also, they created more mental images, were more engaged, paid more attention, had a more positive emotional response, and remembered more information. Speech synthesis has experienced considerable progress. However, there are still significant differences versus human voices, so that using them to narrate long stories, such as audiobooks do, is difficult.
Text analysis using deep neural networks in digital humanities and information science

Combining computational technologies and humanities is an ongoing effort aimed at making resources such as texts, images, audio, video, and other artifacts digitally available, searchable, and analyzable. In recent years, deep neural networks (DNN) dominate the field of automatic text analysis and natural language processing (NLP), in some cases presenting a super‐human performance. DNNs are the state‐of‐the‐art machine learning algorithms solving many NLP tasks that are relevant for Digital Humanities (DH) research, such as spell checking, language detection, entity extraction, author detection, question answering, and other tasks. These supervised algorithms learn patterns from a large number of “right” and “wrong” examples and apply them to new examples. However, using DNNs for analyzing the text resources in DH research presents two main challenges: (un)availability of training data and a need for domain adaptation. This paper explores these challenges by analyzing multiple use‐cases of DH studies in recent literature and their possible solutions and lays out a practical decision model for DH experts for when and how to choose the appropriate deep learning approaches for their research. Moreover, in this paper, we aim to raise awareness of the benefits of utilizing deep learning models in the DH community.
Effect of Dexmedetomidine For Thoracoscopic Surgery: A Meta-analysis of Randomized Controlled Trials

Introduction: The efficacy of dexmedetomidine for thoracoscopic surgery remains controversial. We conduct a systematic review and meta-analysis to explore the impact of dexmedetomidine for thoracoscopic surgery.Methods: We have searched PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through September 2020 for randomized controlled trials (RCTs) assessing the effect of dexmedetomidine on thoracoscopic surgery. This meta-analysis is performed using the random-effect model.Results: Six RCTs involving 510 patients are included in the meta-analysis. Overall, compared with control group for thoracoscopic surgery, dexmedetomidine results in significantly reduced pain scores (SMD=-1.50; 95% CI=-2.63 to -0.37; P=0.009), anesthetic consumption (SMD=-3.91; 95% CI=-6.76 to -1.05; P=0.007), mean heart rate (SMD=-0.41; 95% CI=-0.65 to -0.18; P=0.0007), and the number of ICU stay (RR=0.39; 95% CI=0.19 to 0.80; P=0.01), but showed no obvious effect on mean blood pressure (SMD=-0.07; 95% CI=-0.45 to 0.31; P=0.72) or hospital stay (SMD=-0.61; 95% CI=-1.30 to 0.08; P=0.08). Conclusions: Dexmedetomidine supplementation can substantially improve the analgesic efficacy for thoracoscopic surgery.
Future smart grid communication-deployment of IoT: opportunities and challenges

India’s electrical power system grid also known as the power grid is serving us from a very long time. In this duration, there were no major developments or changes reported in the power grid system. Electrical power consumer demand is increasing drastically and the present grid system is not able to fulfil these emerging requirements. To fulfil the requirements of future power load, we need a modified system which has to be reliable, secure, intelligent and efficient. By converting the power grid into the smart grid will be a promising solution for adopting the above properties. Communication Infrastructure is a major part of the smart grid. The end-user can reduce their expenditure on electricity demand by using smart home appliance, to keep away from the rush hours and also make use of the renewable energy instead from utility, is a great example of deployment of internet of things (IoT) in grid communication. In this paper, we have provided a survey of different communication technology, applications, benefits and challenges in communication infrastructure, spatially IoT.
Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis

In neutron transmission spectroscopic imaging, the transmission spectrum of each pixel on a two-dimensional detector is analyzed and the real-space distribution of microscopic information in an object is visualized with a wide field of view by mapping the obtained parameters. In the analysis of the transmission spectrum, since the spectrum can be classified with certain characteristics, it is possible for machine learning methods to be applied. In this study, we selected the subject of solid–liquid phase fraction imaging as the simplest application of the machine learning method. Firstly, liquid and solid transmission spectra have characteristic shapes, so spectrum classification according to their fraction can be carried out. Unsupervised and supervised machine learning analysis methods were tested and evaluated with simulated datasets of solid–liquid spectrum combinations. Then, the established methods were used to perform an analysis with actual measured spectrum datasets. As a result, the solid–liquid interface zone was specified from the solid–liquid phase fraction imaging using machine learning analysis.
Pre-Service Biology Teachers’ Perceptions of the Concepts of ‘System’ and ‘Biological System’

ABSTRACT This study investigated how pre-service biology teachers perceived the concepts of ‘system’ – as the basic component of the systems thinking approach – and ‘biological system’ specific to biology. The most important characteristics of a system appear as elements, interactions, interconnections, hierarchy, purpose and forming a whole. The data of the study were collected from students who were studying at the Faculty of Education of a state university in Ankara. The study employed the basic qualitative research approach. A questionnaire consisting of open-ended questions and interviews was utilised to collect the data. The sample consisted of 150 pre-service teachers for the questionnaire and 15 pre-service teachers for the interviews. The collected data were subjected to thematic analysis. It was determined that the pre-service teachers had a general perception of a ‘system’ and a ‘biological system’, but this perception was not as strong as a perception that they could apply in their own educational processes. Systems thinking approach and system concept are critical not only for pre-service biology teachers but also for all other fields. It is considered that it is necessary to positively contribute to the perception of pre-service teachers who are the teachers of the future towards these concepts.
Synchronous breast carcinoma (with Paget’s disease) and renal cell carcinoma with tubercular axillary lymphadenitis: a rare presentation

Synchronous malignancy are defined as two primary malignancy of two different organs occurring concurrently or within 6 months duration. Reports of synchronous breast carcinoma with RCC (renal cell carcinoma) are very limited. We presented here the first case of non-metastatic synchronous RCC with breast carcinoma and Paget’s disease associated with tubercular axillary lymphadenitis in a 62 year old female for which she underwent right MRM and right partial nephrectomy. She received chemotherapy and anti-tubercular therapy post-surgery and currently on oral hormonal therapy. Follow up scans showed stable disease. There have been cases of breast cancer with TB lymphadenitis as well as of double synchronous malignancies involving breast carcinoma and RCC. Most of the multiple malignancies reported in literature are metastatic tumours or metachronous breast malignancy with RCC. A case of synchronous primary ca breast with pages disease coexisting with primary RCC along with tubercular lymphadenopathy is yet to be reported in literature. This might just be the first one.