Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic Diversity and Genetic Differentiation of Populations of Golden-Backed Carp (Cyprinus carpio var. Jinbei) in Traditional Rice Fields in Guizhou, China

Simple Summary Rice-fish farming refers to the cultivation of fish in rice fields. China’s Guizhou Province has a long history (over 1000 years) of Rice-fish farming. Carp (golden-backed carp) that have been cultivated for generations in rice fields have evolved to be extremely adaptable to that environment. Unfortunately, farmers and enterprises have found that the feeding ability and growth rate of golden-backed carp are becoming increasingly weaker and slower, respectively. Therefore, the present study carried out to examine the population genetics of golden-backed, and the results indicated that the status of germplasm resources of this species is not very good. The aim of this study was to further elucidate the status of golden-backed carp germplasm resources in this province. In conclusion, this work can provide reliable fundamental data for the future conservation and breeding of golden-backed carp. Abstract The aim of this study was to assess the current status of the germplasm resources of golden-backed carp (Cyprinus carpio var. Jinbei) cultured in paddy fields in Guizhou Province, China. Five populations of golden-backed carp in Liping County, Jinping County, Huangping County, Congjiang County and Duyun City in Guizhou Province were subjected to high-throughput sequencing by 2b-RAD technology, and their genetic diversity and genetic differentiation were analysed. Based on sequencing, 44,896 SNP loci were obtained, and all five population genetic diversity indicators showed low diversity. In the NJ tree, the Congjiang and Liping populations were mixed together, and the other three groups formed a cluster. A cross-validation error box plot and pong cluster plot were constructed to show the K value results. When K = 1, the cross-validation error rate was the lowest. Principal component analysis showed that the Duyun population formed a group separate from the group comprising the other four populations. The genetic differentiation index and genetic distances between the Duyun population and the remaining four populations were greater than 0.05, indicating population differentiation. The genetic diversity of the five populations of golden-backed carp in Guizhou Province was low, the genetic differentiation of the Duyun population was the most significant, and the Duyun population was separate from the other four groups.
‘Over to you’: considering the purpose of education through a student-centred sustainability project

Abstract The school strikes for climate action that began with Greta Thunberg in 2018 and spread worldwide in 2019, left many young people to ponder ‘what is the point of education if we have no future? ’ In this investigation of a student-centred project on sustainability conducted with Year 4 students in Brisbane, the point of education was framed by Biesta’s three domains of purpose; Qualification, Socialisation and Subjectification. Sustainability education requires attention to each domain, that is, increasing children’s knowledge of sustainability (Qualification), facilitating their critical awareness of social practices related to sustainability (Socialisation), and expanding their capacity to act in response to the challenges of living sustainably (Subjectification). The project was designed using an action research model where children co-created the topic (reducing plastic usage) and then decided on how it would be investigated and reported. Interviews during and after the project, and episodes recorded in a research journal revealed changes in each of the three domains, with changes in the Subjectification domain being the focus of this study. The overall positive and multifaceted learning outcomes that occurred highlight what is possible when addressing issues of sustainability and the point of education in ways that matter to children.
Operational Efficiency Comparison and Transportation Resilience: Case Study of Nanjing, China

With the changes in global climate, adverse weather events appear to be more frequent. The efficiency, reliability, and safety of transportation operations can be compromised by extreme weather conditions. It is critical to analyse the spatiotemporal effects of extreme weather on the operational efficiency of transportation operational efficiency for meeting people’s travel and transport needs and formulating emergency management operation to prevent road congestion. It is also important to improve the resilience of transportation system. We compared the changes in transportation operational efficiency in Nanjing during normal weather on January 23 and snowstorm on January 25, 2018, using real-time travel data from Gaode Map. The results indicate that there are differences in the distribution of accessibility changes from different residential areas to the main city area in the morning peak. Overall, 90% of the accessibility change values are concentrated in −10 to 10 minutes, while 65% are concentrated in −5 to 5 minutes, and 70% of the rangeability of accessibility is concentrated in −20% to 20%. In a word, the travel in Nanjing in the snowstorm weather is basically normal. This observation is mainly due to the overnight snow removal and the reduction in the number of small car trips. In addition to the Xinjiekou area, the Hexi business district and the exit area of the cross-river tunnel should also be included in the key management areas for taking emergency management operation in the future.
Head-up displays in action video games: the effects of physical and semantic characteristics on player performance and experience

ABSTRACT This study aimed to investigate how different characteristics of head-up displays (HUDs) can impact the performance and subjective experience of players in action video games. HUDs are a very common way to display contextual information. However, very few studies have empirically investigated the influence of HUD design on player performance and experience from a human information processing perspective. Four experiments were conducted in which players of different levels of expertise played commercial action video games. The physical characteristics of HUD, that is, the physical appearance of the information on screen, such as size and colour (Experiments 1–2), and the semantic characteristics, that is, the composition (nature and content) of the information (Experiments 3–4), were manipulated. Player performance and subjective experience were systematically assessed. The results showed that players’ performance and experience were impacted when the semantic characteristics of the HUD elements were manipulated and when their nature was relevant to the main task players have to perform within the game. The performance of more experienced players was particularly affected in this case. In contrast, the results did not show that altering physical or semantic characteristics that were less relevant to the game’s main task would affect players’ performance and subjective experience.
Educational Data Mining to Support Group Work in Software Development Projects

In this paper we explore the use of data mining to support group work in the context of a senior level, capstone software development projects. We mined data collected from students working in teams and interacting with online group support tools such as wikis, planning and tracking systems and version control software repositories. We applied three data mining techniques: mirroring visualization to provide a high-level view of the activity of the group and contribution of each member; sequential pattern mining and clustering to identify patterns characterizing the behavior of strong and weak groups. The results are promising and can be used to improve monitoring and self-monitoring of student progress, for early identification of problems in groups and to help students to work more effectively in groups.
Possible additional criteria for the diagnosis of preeclampsia with severe features

Preeclampsia is a disorder affecting multiple organ systems. Preeclampsia with severe features may prompt consideration of delivery. The diagnostic criteria for preeclampsia with severe features, while focusing upon maternal cardiopulmonary, neurological, hepatic, renal and haematological systems, vary considerably in international practice guidelines. In the absence of alternative causes, severe hyponatraemia, pleural effusions and ascites, and abrupt severe maternal bradycardia are proposed as possible additional criteria for the diagnosis of preeclampsia.
UNIVERSIDADE FEDERAL DE MINAS GERAIS ESCOLA DE ENGENHARIA PROGRAMA DE PÓS – GRADUAÇÃO EM ENGENHARIA QUÍMICA

Characterization of biomass relevant to thermochemical conversion processes and other applications is critical to the design and proper operation of energy conversion, biorefining, and other facilities, especially for adding value to waste. In the present work, selected agroindustrial solid residues from coffee crops – parchment and coffee bush, i.e., stem, primary branch, secondary branch and leaves – were characterized as solid fuels and an evaluation of their properties, including proximate and ultimate composition, energy content, several biochemical composition (polysaccharides, lignin, extractives, uronic acids and acetyl group) and thermogravimetric analysis. Results showed that moisture content ranged 8.69 to 18.46%, carrying an average higher heating value of 18.3–19.45 MJ/kg, and volatile matter content of 74.07-83.70 %. The silica (0–0.4 %) contents are quite small for all biomass samples. Glucans is the dominant component in the carbohydrate fraction of all studied samples (17.90-33.25%). Additionally, The high contents of extractives (10.57 -24.72%) and lignin (26.59-43.17%) of the samples found in this study can be associated with the advanced age of the coffee shrub. The extensive residue characterization provided valuable data that helped in outcome of the evaluation of different conversion technologies as being an environmentally friendly alternative, contributing to upgrading the large quantity of waste generated by the coffee industry into energetic valued residues, and improving their management.
Energy Sector’s Monopoly Rent-seeking and Supplementary Time-series Analysis in the Case of Azerbaijan

In this paper, energy sector’s monopoly behavior is analyzed in the case of Azerbaijan by referring to the literature of Dutch disease and rent-seeking. As a theoretical background, a new general equilibrium model is also developed in order to explain unusual surge of gasoline prices in Azerbaijan during the decreasing global oil prices. The paper shows the relationship between crude oil price and local gasoline prices (rent-seeking in this paper). There is a cointegrating relation between two variables under Johansen Cointegration Test and it supports the idea in the theoretical general equilibrium model. Monopolies use higher local gasoline prices as rent-seeking during decreasing crude oil prices for covering their losses due to diminishing revenues from oil exports.
Design Guidelines for DC-DC Converters with Dynamic Voltage Scaling

Abstract The energy consumption in wireless systems limits autonomy, high performance and further reduction of size. Dynamic Voltage Scaling(DVS) is an alternative solution that can dramatically reduce energy consumption in digital systems. The power supply becomes a very important part of the system in this technique as it enables the voltage scaling. This paper deeply analyses the requirements and challenges for these power supplies, clarifying the design issues and highlighting available interesting solutions and research trends.
Analisa Aerodinamika Airfoil Pesawat Dengan Pendekatan Computational Fluid Dynamic Dan Wind Tunnel

Penelitian terhadap bentuk airfoil terus dilakukan untuk mendapatkan performasi aerodinamika yang terbaik. Dengan gaya angkat yang lebih besar maka pesawat terbang dapat mengangkut beban lebih besar dan dapat melakukan lepas landas pada runway yang pendek. Beberapa metode dapat digunakan untuk melakukan pengujian terhadap model pesawat, seperti metode eksperimental dan metode komputasi. Dalam hal ini, metode komputasi dianggap lebih efisien bila dibandingkan dengan metode eksperimental. Karena, tidak memerlukan ruang yang besar untuk mendapatkan hasil yang maksimal dan waktu pengujian relatif lebih singkat bila dibandingkan metode eksperimental. Penulis melakukan penelitian untuk mengetahui karakteristik aerodinamika dari airfoil NACA 2412, NACA 4412 dan NACA 6412 serta pengaruh kecepatan angin dan sudut serang terhadap performasi dari airfoil. Dari data yang didapat nilai drag coefficient dan lift coefficient berdasarkan sudut serang aliran udara. Dari data yang didapat nilai drag coefficient dan lift coefficient berdasarkan kecepatan aliran udara. Drag coefficient berdasarkan urutan nilai yang paling besar adalah kecepatan 4, 5, 7 dan 3 m/s. Sedangkan lift coefficient berdasarkan urutan nilai yang paling besar adalah kecepatan 7, 5, 4 dan 3 m/s. Dapat disimpulkan semakin besar nilai kecepatan aliran udara maka semakin kecil pula drag coefficient, tetapi tidak berlaku untuk kecepatan 3 m/s karena bentuk aliran udara dalam kondisi laminer. Sedangkan untuk lift coefficient, semakin besar kecepatan aliran udara, maka semakin besar pula lift coefficient. Drag coefficient berdasarkan urutan nilai yang paling besar adalah sudut 15o, 10o, 5o, 0o dan -5o. Sedangkan lift coefficient berdasarkan urutan nilai yang paling besar adalah sudut 15o, 10o, 5o, 0o dan -5o. Dapat disimpulkan semakin besar sudut serang aliraan udara, maka semakin besar pula nilai drag coefficient dan lift coefficient. Dari hasil perbandingan antar drag coefficient dan lift coefficient pada wind tunnel dengan Ansys Fluent didapat persentase terbesar pada NACA 2412 dengan besar nilai persentase tersebut adalah 28%. Berdasarkan katagori nilai MAPE (Mean Absolute Percentage Error) dapat ditafsirkan pengujian secara numerik dapat meberikan hasil yang layak. Karena nilai MAPE terbesar kurang dari 50% dan lebih dari 20%. Peneliti dapat meningkatkan keakurasian dengan membuat dudukan airfoil yang lebih kecil. Karena hal tersebut membengaruhi gaya angkat dan hambat.
Use of TCP/IP protocol in industrial environment

The transmission control protocol (TCP) and internet protocol (IP) are forever linked to Ethernet in the business and consumer worlds. This linkage does not solve all communication problems and must be supplemented by application-layer protocols suitable for the industrial environment. Moving popular industrial protocols to Ethernet TCP/IP gives benefits that can include low product development costs, ease of integration and use, and multi-vendor interoperability. This paper presents a brief overview of the TCP/IP protocol and how industrial protocols are being accommodated to Ethernet.
A Biophysical Investigation of DNA-Binding Interactions of Push-Pull Dibenzodioxins and Implications for in Vitro anti-Cancer Activity

Abstract Dibenzodioxin-DNA interactions were studied using biophysical techniques. UV-visible spectral titrations were performed against calf thymus (CT)-DNA to determine the binding constants. Spectrofluorimetric dye-displacement assay and DNA viscometric assay were used to understand the nature of binding interactions. Molecules with intercalative binding preference increased DNA viscosity, similar to a standard intercalator. Dibenzodioxin cytotoxicity was evaluated against HeLa cells. The most active molecules also had the highest binding constants with CT-DNA. Select dibenzodioxins were docked against DNA in silico. The binding behavior was compared using a known DNA binding small molecule. Dibenzodioxins with good cytotoxicity also had high DNA-binding affinity, implying that DNA could be a likely target for these dibenzodioxins. One fluorescent dibenzodioxin was used to study intra-cellular localization in HeLa cells using fluorescence microscopy. This derivative with weaker cytotoxicity was located mainly in the cytoplasm than in the nuclei, again hinting toward dibenzodioxin-DNA-binding interaction as the main mechanism of cytotoxicity.
FISH OTOLITHS AND FORAMINIFERA FROM THE BORSKÝ MIKULÁŠ SECTION (SLOVAKIA, MIDDLE MIOCENE, UPPER BADENIAN, VIENNA BASIN) AND THEIR PALEOENVIRONMENTAL SIGNIFICANCE

Thirty-eight otolith-based species of fishes and 41 foraminifera species have been recorded in the Borský Mikuláš-Vinohrádky section in the upper Badenian deposits in the eastern part of the Vienna Basin, in West Slovakia. Two new species of otoliths are introduced here: Thorogobius antirostratus n. sp. and Gerres mlynskyi n. sp. Among the foraminifera Biasterigerina planorbis and Elphidium crispum associated with other elphidiids, Lobatula lobatula and Cibicides crassiseptatum prevail. Overall, the family of Gobiidae dominate in the assemblage of otoliths (>90 % of specimens). Meso- and epipelagial fishes or diversified gadids and sciaenids are missing. From the molluscs, the first record of Aturia sp. in the Borský Mikuláš section is observed. Otoliths and foraminifera document a normal marine environment of well-aerated shallow water with a depth of 30-50 metres, with muddy to sandy bottoms of marine meadows and plenty of light in the subtropical climatic conditions. Several fish genera (for example Gerres) give evidence for the nearness of reef structures. There are no species (excepting Lesueurigobius vicinalis) in common with the known Lower Serravallian otolith fauna from the Eastern Paratethys. Some species from the Borský Mikuláš-Vinohrádky section can also be found in the Mediterranean Langhian-Serravallian interval and are interpreted as a relic of the lower Badenian (Langhian) fish assemblages.
Smart system for blurring undesirable objects in road applications

For many smart road applications, objects detection and recognition are one of the most important components. Indeed, precise detection of road objects is a critical task for autonomous urban driving and robotics technologies. In this paper, we describe our real-time smart system that consists in detecting and blurring undesirable road objects to anonymize and secure road users. Indeed, our proposed method is divided into three steps. The first step concerns the acquisition of images using the VIAPIX® system [1] developed by the ACTRIS company [2]. The second step is based on a neuronal approach for objects detection, namely vehicles, persons, road signs, etc. The third step allows to blur among the various objects detected only those which are undesirable on the road, i.e., person's faces, license plate. The obtained results demonstrate the efficiency of our robust approach in terms of good detection.
The Teaching Effect Evaluation Model of University Ideological and Political Theory under the Background of New Media and Big Data

This study uses new media technology and big data technology to build a teaching impact assessment model of university ideological and political theory based on new media and big data in order to enhance the effect of ideological and political teaching in colleges and universities. Furthermore, by specifying the instance distribution interval, this work explains the probable probability distribution of all instances of the tuple, ensuring the integrity of the data information of the clustering object and therefore boosting the algorithm’s clustering accuracy. Furthermore, this research constructs an intelligent system frame structure by combining the real teaching requirements of ideology and politics. Finally, from the viewpoints of new media teaching efficiency and teaching impact assessment, this research develops experiments to validate system functionalities. The experimental research results show that the teaching effect evaluation model of university ideological and political theory constructed in this study based on new media and big data has a good teaching effect, and the effect of ideological and political teaching evaluation also meets the actual teaching needs.
Deciphering the Virus Signal Within the Marine Dissolved Organic Matter Pool

Viruses are ubiquitously distributed in the marine environment, influencing microbial population dynamics and biogeochemical cycles on a large scale. Due to their small size, they fall into the oceanographic size-class definition of dissolved organic matter (DOM; <0.7 μm). The purpose of our study was to investigate if there is a detectable imprint of virus particles in natural DOM following standard sample preparation and molecular analysis routines using ultrahigh-resolution mass spectrometry (FT-ICR-MS). Therefore, we tested if a molecular signature deriving from virus particles can be detected in the DOM fingerprint of a bacterial culture upon prophage induction and of seawater containing the natural microbial community. Interestingly, the virus-mediated lysate of the infected bacterial culture differed from the cell material of a physically disrupted control culture in its molecular composition. Overall, a small subset of DOM compounds correlated significantly with virus abundances in the bacterial culture setup, accounting for <1% of the detected molecular formulae and <2% of the total signal intensity of the DOM dataset. These were phosphorus- and nitrogen-containing compounds and they were partially also detected in DOM samples from other studies that included high virus abundances. While some of these formulae matched with typical biomolecules that are constituents of viruses, others matched with bacterial cell wall components. Thus, the identified DOM molecular formulae were probably not solely derived from virus particles but were partially also derived from processes such as the virus-mediated bacterial cell lysis. Our results indicate that a virus-derived DOM signature is part of the natural DOM and barely detectable within the analytical window of ultrahigh-resolution mass spectrometry when a high natural background is present.