Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolic Responses of a Phototrophic Co-Culture Enriched from a Freshwater Sediment on Changing Substrate Availability and its Relevance for Biogeochemical Iron Cycling

Abstract Metabolic flexibility controls microbial survival and shapes ecological structures. Although the utilization of a variety of substrates has been studied for individual metabolically versatile microorganisms, only little is known about the response of microbial communities toward substrate fluctuation. Here, we exposed a phototrophic co-culture (Rhodopseudomonas sp. and Chlorobium sp.) that was isolated from a littoral freshwater sediment to a variety of substrates (acetate, Fe(II), or H2) and followed the abundance of individual microbial partners based on their characteristic light absorption pattern. Chlorobium sp. dominated the culture when Fe(II) was supplied, whereas Rhodopseudomonas sp. decreased below detection. Rhodopseudomonas sp. dominated when the co-culture was transferred onto acetate (Chlorobium sp. below detection). When grown on H2, the dominance pattern depended on pre-culture conditions. Pre-cultures on Fe(II) or acetate resulted in dominance of Chlorobium sp. or Rhodopseudomonas sp. , respectively. Although the relative abundance of the two partner strains strictly relies on substrate availability, we were incapable of isolating Chlorobium sp. from the co-culture. Our study shows how substrate fluctuations shape microbial distribution and points toward potential community interactions that enable microbial survival.
Incidence of Injury and Pain in Referees in German National Handball Leagues: A Cross-sectional Study

Background: Handball referees play an important role during a handball match. Surprisingly, not much is known about their sports-related injuries and resulting pain, therefore the purpose of our study was to focus on injuries and sports-related pain in referees in German handball leagues.Methods: During the 2018/19 national German handball season, referees of the German Federation of Handball were contacted and asked to complete an injury and pain questionnaire on the penultimate matchday of the first and the second round of the season.Results: 70 referees participated in the study. One in three referees reported an injury during the last year and perceived some form of pain. Of those suffering from pain, 16.7% referees reported chronic pain disorders. During the season, 31.4% of referees incurred an injury and the majority of the 70 referees officiated despite pain (n=43). Prospective data suggested an incidence of 11.6 (95% CI: 10.3 to 13.0) injuries per 1000 match hours, and 19.0 (95% CI: 16.8 to 21.3) sports-related pain events per 1000 match hours. The most common injuries were foot and knee injuries and a substantial number of the referees (n= 25) reported taking analgesics for the pain.Conclusion: German handball referees are at risk of sports-related injuries with subsequent pain. Considering the injury profile, the incidence of sports-related pain events, and the high physiological and psychological demands of refereeing, it appears that prevention programs should be developed and integrated into the routine of the referee.
Using artificially generated pictures in customer-facing systems: an evaluation study with data-driven personas

ABSTRACT We conduct two studies to evaluate the suitability of artificially generated facial pictures for use in a customer-facing system using data-driven personas. STUDY 1 investigates the quality of a sample of 1,000 artificially generated facial pictures. Obtaining 6,812 crowd judgments, we find that 90% of the images are rated medium quality or better. STUDY 2 examines the application of artificially generated facial pictures in data-driven personas using an experimental setting where the high-quality pictures are implemented in persona profiles. Based on 496 participants using 4 persona treatments (2 × 2 research design), findings of Bayesian analysis show that using the artificial pictures in persona profiles did not decrease the scores for Authenticity, Clarity, Empathy, and Willingness to Use of the data-driven personas.
Competitive Factors of Fashion Retail Sector with Special Focus on SMEs

Nowadays small and medium sized enterprises have become increasingly important in contribution to job creation and economic growth both in national and European level. Considering the rapidly and continuously changing business environment, due to the impacts of globalization and concentration, staying competitive is a great challenge for companies in the 21st century, especially in fashion retail sector. The current paper is intended to map the current situation of the sector—focusing primarily on SMEs—through the extensive literature review; and provide a better understanding of sector-specific competitive factors in fashion industry. The research methods are the analysis of different related articles, reports and other scientific literature sources, in-depth interviews and questionnaire survey. The survey was validated by confirmatory factor analysis, data were analyzed and evaluated through PLS-SEM model. The main findings of the study show that the most important competitive factor is the compliance with consumer needs. Furthermore, the research also points out that SME sector lag behind chains, thus, they need to focus more on better understanding and meeting consumer expectations. In this activity, it would be useful if they received EU and domestic support for educational assistance.
Secure Visible Light Communication Technique Based on Asymmetric Data Encryption for 6G Communication Service

Security in residential and business establishments has become an area of considerable importance. To provide enhanced security using conventional visible light (VL) communication, the characteristics of which allow for easy access by nearby intruders, a new VL communication technique is proposed in this paper. The novel VL communication system is based on a data encryption method using asymmetric encryption, and it is proposed for use in smart indoor services in the 6th generation communication environment. The asymmetric encryption capability is studied by comparison with the conventional technique, the optimum key length for the public or private encryption codes is determined under the criterion of the minimum estimation error. Moreover, the error performance is analyzed with various RSA encryption keys and data lengths to verify the performance of the proposed technique. A real experiment is performed to evaluate the proposed technique using an implemented test bed, and the success rates of the VL communication technique with and without RSA coding are evaluated by a real experiment with a test bed under an indoor laboratory VL channel. We believe it is evident that the VL communication technique based on asymmetric encryption yields superior error performance compared to that without encryption for optimal lengths of the encryption key and data bits.
Face Recognition from Small Datasets using Kernel Selection of Gabor Features

Recent advances in face recognition are mostly based on deep methods that require large datasets for training. This paper presents a novel method that combines Gabor-features, feature selection and kernel selection to achieve comparable performance on smaller datasets.The paper compares different feature selection methods in this context.The problem tackled in this paper is achieving accurate face recognition with limited computational resources. By “limited" computational resources we mean low computational power (i.e. memory, CPU ops) during both system training and evaluation. Noted that we are not competing against deep learning systems in term of accuracy but we provided a middle ground between hand-coded fast feature extraction and learning based deep learning in terms of both speed and accuracy.To achieve this goal, we propose “kernel selection" as the main method to reduce the dimensionality of the classification problem faced by the final classifier in the FR system. Kernel selection is the process of eliminating less important Gabor kernels for classification while keeping the level of accuracy achievable. Kernel selection differs from traditional feature selection in measuring the value of complete kernels consisting of several features together. Because of its structured nature, Kernel selection has the advantage of eliminating the need to evaluate complete Gabor kernels reducing the computational cost of the system compared with traditional feature selection methods.
A New Modification of Rb[Al(NH2)4] and Condensation in Solid State

A new modification of Rb[Al(NH2)4] in space group C2/c, which differs from the known structural modification in the way the [Al(NH2)4]−-tetrahedra are arranged in the surrounding area of the rubidium cation, was obtained from ammonothermal synthesis at 673 K and 680 bar. The crystal structure was determined by Rietveld refinements and further investigated by infrared and Raman spectroscopy. Thermal gravimetric investigations indicate two decomposition steps up to 450 °C, which can be assigned to ammonia leaving the material while the sample liquefies. During the third and final step, volatile rubidium amide is released, leaving nano-scaled cubic AlN behind. Investigating differently aged samples implies decomposition and condensation of amidoaluminate ions already at ambient temperature, which is supported by refinements of single crystal X-ray diffraction data, revealing lower nitrogen amounts than expected. The observed single crystal also exhibits a significantly smaller volume than the reported structures, further supporting the decomposition–condensation mechanism.
Differences in psychosocial impact of lockdown and life satisfaction among Nigerian working adults during Covid-19

This study assessed differences in the psychosocial impact of lockdown and life satisfaction among Nigerian working adults during the Covid-19 pandemic. The study was hinged on the social stress theory. Five hundred and eighteen (518) Nigerian working adults participated in the study using a convenience sampling technique. Two sets of questionnaires were the main instruments of data collection and were complemented by in-depth interview. Quantitative data collected were analyzed using one-way ANOVA, while the qualitative data was thematically analyzed. Findings revealed, amongst others, that livelihood activities of working adults in Nigeria were significantly affected by the Covid-19 lockdown. Working adults who lost jobs during Covid-19 lockdown reported a higher psychosocial impact of the lockdown compared to those who stopped working, worked at home and those who worked at the office during the Covid-19 lockdown in the country. Based on the findings, it was recommended among others, that there is a need for concerted efforts by stakeholders in the country to provide enabling environment for working adults to recover and sustainably return to reasonable livelihood from the shocks occasioned by Covid-19 pandemic.
Compressive Ghost Imaging of the Moving Object Using the Low-Order Moments

Ghost imaging reconstructs the image based on the second-order correlation of the repeatedly measured light fields. When the observed object is moving, the consecutive sampling procedure leads to a motion blur in the reconstructed images. To overcome this defect, we propose a novel method of ghost imaging to obtain the motion information of moving object with a small number of measurements, in which the object could be regarded as relatively static. Our method exploits the idea of compressive sensing for a superior image reconstruction, combining with the low-order moments of the images to directly extract the motion information, which has the advantage of saving time and computation. With the gradual motion estimation and compensation during the imaging process, the experimental results show the proposed method could effectively overcome the motion blur, also possessing the advantage of reducing the necessary measurement number for each motion estimation and improving the reconstructed image quality.
Shape dynamics of rotating polygons on the surface of liquid nitrogen in a Leidenfrost state

When liquid nitrogen is set into rotation in a warm pot, the surface, initially forming an axissymmetrical, toroidal shape, spontaneously re-structures into a series of rotating polygons with a diminishing number of corners, while slowing down. This spontaneous “ordering” occurs despite the violently turbulent and boiling state of the fluid. We show experimentally that these shapes are well-described as a sum of a few Fourier modes, and we present experimental results for the development of the frequencies and amplitudes of these wave-modes during the transient process. We compare our results with the theoretical results for the instabilities of a potential vortex flow and argue that the first polygon formed in the transient process should be described by this theory. The paper is dedicated to the memory of Yves Couder, colleague, friend and a life-long source of inspiration. Résumé. Dans cet article nous nous intéressons au cas d’un volume d’azote liquide en état de caléfaction mis en rotation dans un récipient cylindrique chauffé. La surface libre du liquide, initialement sous forme d’un tore axisymétrique, va se déstabiliser et se restructurer en une série de polygones tournants dont le nombre de côtés diminue à mesure que le liquide ralentit. Ce facettage apparaît spontanément alors même que le liquide connait une violente ébullition et un écoulement extrêmement turbulent. Nous démontrons expérimentalement que les formes observées peuvent être décrites par la combinaison d’un petit nombre de modes de Fourier et nous étudions l’évolution de ces modes en termes d’amplitude et de fréquence depuis le premier polygone visible jusqu’à la fin de la rotation du liquide. Nous comparons nos résultats expérimentaux avec un modèle théorique décrivant la perte de stabilité des écoulements de type vortex potentiel et nous soutenons que le premier polygone observable suite à la déstabilisation de la forme axisymétrique peut être décrit par ce modèle. Cet article est dédié à la mémoire d’Yves Couder qui fut pour nous un collègue, un ami et une intarissable source d’inspiration.
Development and evaluation of a novel binder based on natural rubber and high-energy polyurethane/composite propellants

Hydroxyl terminated natural rubber (HTNR) was prepared by the depolymerization of masticated natural rubber in the presence of H2O2 in toluene. Probable mechanisms leading to the formation of side reaction products are proposed based on the analytical data. A comparative study of some formulation variables was made for their effect in improving the flow characteristics and mechanical properties of an aluminized polyurethane (PU) propellant system based on HTNR. This PU system has also been compared for its theoretical performance characteristics with some other state-of-the-art systems.
FUTURE THINKING CONTINUITY OF LEARNING IN MARKETING: A STUDENT PERSPECTIVE ON CRISIS MANAGEMENT IN HIGHER EDUCATION

ABSTRACT To boost understanding of how universities can develop strategies to ensure continuity of learning in anticipation of future crises, this research asked business students to reflect on their university’s response to the COVID-19 pandemic and to discuss their preferred future of higher education in times of crisis. First, students were asked what their university and professors did well and what they did poorly as the COVID-19 pandemic unfolded. Second, participants were asked to discuss factors that facilitated and hindered personal learning success during the crisis. Finally, students were given the opportunity to share their opinions on the preferred mode in which universities should operate during times of crisis. Data were analyzed to illuminate a path marketing academicians can follow to maintain learning continuity in the face of crises, one which prioritizes shared responsibility among universities, faculty, and students.
Do the Effects of Police Body-Worn Cameras on Use of Force and Complaints Change Over Time? Results From a Panel Analysis in the Milwaukee Police Department

Police body-worn cameras (BWCs) can help improve transparency, accountability, and policing behaviors. This study extends prior BWC research by using a panel analysis design with a measure of treatment duration to examine how the effects of BWCs change over time. Using data from the Milwaukee Police Department (N = 1,009), we propose and test two competing hypotheses: The program maturity hypothesis suggests that BWCs will be more effective at reducing use of force and complaints over time, whereas the program fatigue hypothesis expects BWCs to be less effective the longer officers wear BWCs. We find that BWCs reduced complaints overall and that, over time, each additional month with a camera resulted in 6% fewer complaints. There was no overall relationship between BWCs and use of force, but our treatment duration model suggests that there was an immediate decrease in use of force incidents, followed by a gradual increase in subsequent months.
Synthesis of a New Series of Furyl and Thienyl Substituted Pyrazolines Starting with Furyl and Thienyl Chalcones.

Fourteen heterocyclic furyl and thienyl chalcones (5) were prepared, analysed and converted Into the 2-pyrazolines (6) through treatment with hydrazine or methyl bydrazine in ethanol or glacial acetic acid solvent. A total of thirty new fury! and thienyl substituted-2-pyrazolines (lla-f, 12a-f, 13a-f,l4a-e ISa-g) were thus prepared and characterised through elemental and spectroscopic measurements Mechanistic interpretation of the results is also included
Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements

Abstract Despite the importance of methane for climate change mitigation, uncertainties regarding the temporal and spatial variability of the emissions remain. Measurements of CH4 isotopic composition are used to partition the relative contributions of different emission sources. We report continuous isotopic measurements during 5 months at the Lutjewad tower (north of the Netherlands). Time-series of χ(CH4), δ13C-CH4, and δD-CH4 in ambient air were analysed using the Keeling plot method. Resulting source signatures ranged from −67.4 to −52.4‰ vs V-PDB and from −372 to −211‰ vs V-SMOW, for δ13C and δD respectively, indicating a prevalence of biogenic sources. Analysis of isotope and wind data indicated that (i) emissions from off-shore oil and gas platforms in the North Sea were not detected during this period, (ii) CH4 from fossil fuel related sources was usually advected from the east, pointing towards the Groningen gas field or regions further east in Germany. The results from two atmospheric transport models, CHIMERE and FLEXPART-COSMO, using the EDGAR v4.3. 2 and TNO-MACC III emission inventories, reproduce χ(CH4) variations relatively well, but the isotope signatures were over-estimated by the model compared to the observations. Accounting for geographical variations of the δ13C signatures from fossil fuel emissions improved the model results significantly. The difference between model and measured isotopic signatures was larger when using TNO-MACC III compared to EDGAR v4.3. 2 inventory. Uncertainties in the isotope signatures of the sources could explain a significant fraction of the discrepancy, thus a better source characterisation could further strengthen the use of isotopes in constraining emissions.
Investigations of helium transport in ASDEX upgrade plasmas with charge exchange recombination spectroscopy

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research

BACKGROUND AND OVERVIEW We can all likely agree that 2020 is a year of change, both in personal as well as professional lives. While it is easy to dwell on the negatives, the year has been ripe with creative and entrepreneurial opportunities to embrace new forms of sharing science. In particular, virtual conferences and summits have opened a space where researchers, students, and curious individuals across the globe can engage in open discourse. In doing so, the increasing availability and popularity of online conferences have enabled scientific communities not only to connect in a time when in-person meetings are not possible, but also to overcome barriers to participation that have long existed, such as travel and registration fees. With these needs and opportunities in mind, a grassroots group of scientists convened for the first “Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research” from 23 through 24 July 2020. For those who may be curious but less familiar, data science combines mathematics and statistics, computer science, and domain expertise to enable insight for problems that are otherwise too computationally demanding or data-intensive to be analyzed with traditional tools (Hayashi 1998). Open science is the practice of making tools that enable transparency into scientific design, analysis, and reporting, such that future researchers—and curious individuals in general—can access and reproduce others’ work (Bartling and Friesike 2014). Together, data science and open science techniques allow aquatic researchers to tackle complex aquatic problems while increasing scientific transparency and efficiency between researchers and stakeholders. By bringing together speakers who practice data science and open science techniques, this virtual summit was intended to showcase how limnologists and oceanographers work with big data, expand modeling frameworks, develop tools and software for the larger community, and inform natural resource management and monitoring. The virtual summit featured 18 prerecorded presentations split across two, 3-h sessions on successive days. There were also live question and answer sessions immediately following the presentations. The talks were divided into four main themes: (1) Big Data, (2) Data-Intensive Models, (3) Tools and Software, and (4) Applications of Open Science. While many of the presentations incorporated multiple themes, we broadly grouped talks such that the first day of the virtual summit pertained mostly to “Data Science,” and the second day centered around “Open Science” topics (Fig. 1). Following presentations on July 24, breakout groups paralleling the summit’s four themes allowed for participants and presenters to discuss certain data science and open science topics in a more casual setting.
Deployment of artificial intelligence for radiographic diagnosis of COVID‐19 pneumonia in the emergency department

The coronavirus disease 2019 pandemic has inspired new innovations in diagnosing, treating, and dispositioning patients during high census conditions with constrained resources. Our objective is to describe first experiences of physician interaction with a novel artificial intelligence (AI) algorithm designed to enhance physician abilities to identify ground‐glass opacities and consolidation on chest radiographs.