Miracle-dz/UniFAR-FTUs huggingface dataset:
Interoceptive Awareness: The 'Being' Dimension of 'Being There' in Virtual Worlds

We conducted an exploratory study to introduce, operationalize and test a theoretical conceptualization of interoceptive awareness (IA) in virtual worlds that aligns with neurobiological explanations of interoception. We examined the relationship between IA and the self-location subdimension of spatial presence. Experimental subjects experienced either a 10-min meditation designed to activate IA or a control condition designed to encourage mind wandering. Participants either wore a virtual reality (VR) headset (Samsung Gear VR or HTC Vive) or had their eyes closed. Results suggest that (i) IA was not different between eyes closed or eyes open in VR; (ii) VR display technology did not influence IA; and (iii) higher IA and visual clarity were associated with significantly stronger feelings of spatial presence, whereas display technology had no relationship to spatial presence. Further examination of the role of IA in virtual worlds experiences is warranted.
Enhanced model-based engineering for centrally managed configuration management in product lifecycle management

In times products gain in complexity and variety whereby release and development cycles become even shorter, consistent and systematic variant management is essential not only for technical communication but also for the very most processes in PLM. Therefore, system engineering and system configuration themselves must be leading for a centrally managed, reliable variant management for all PLM processes. We depict how enhanced model-based system engineering approach based on product and product component models can be the enabler for variant management in all PLM processes by specific, explicitly deduced views in different stages of the entire Product Lifecycle.
Changes in Histones/DNA Ratio in Scutellum Nuclei During Ageing of Triticum Durum Caryopses

SUMMARYColumnar epithelium and parenchyma cells of the scutellum of Triticum durum caryopses show different quiescence models: while epithelium cells display a DNA content per nucleus of 2C, the parenchyma cells undergo poli- ploidization. Furthermore, in old seeds, the distribution of the histones/DNA ratio shifts much more in parenchyma cells than in columnar epithelium cells. It may thus be concluded that different tissues of the same organ (scutellum) are affected in a different way by damaging effect of ageing factors.
Patterns in Biomass and Cover of Aquatic Macrophytes in Lakes

A quantitative analysis of biomass and cover of both submerged and emergent macrophytes in 139 lakes reported in the literature revealed that biomass and cover of emergent macrophytes are, on average, proportional to the lake area, but that the biomass and cover of submerged plants are proportionally reduced with increasing lake size. Underwater light was found to be the best descriptor of the cover and biomass of submerged plants. Conversely, emergent macrophytes are most strongly affected by lake morphometry, and in particular by its average slope. The predictability of the abundance of emergent and submerged macrophytes from these environmental factors stresses the predominant role that they play in macrophyte ecology and confirms the existence of strong patterns in the abundance of aquatic plants worldwide.
Leaf morphology and photosynthetic rate in birch seedlings and stump sprouts.

Comparisons were made of the leaves of sprout-origin and seed-origin shoots of Betulapubescens Ehrh. and B. pendula Roth grown under constant or varying temperatures. Particular attention was paid to leaf structure and other factors affecting the rate of photosynthesis. Differences in shoot growth, leaf size, mesophyll structure, and chlorophyll and nitrogen content were observed between the sprouts and seedlings of both species over the course of the growing season. Many of these differences were reflected in the photosynthesis measurements. The sprouts of both species appeared to show a better photosynthetic capacity in their first growing season than the seedlings, and they continued their height growth longer into the autumn. A distinct decline in the level of photosynthesis took place during the growing season. The results suggest that perhaps because of their higher chlorophyll and nitrogen content, young sprouts benefit more from the extremes of temperature at the beginning and end of the growing s.
Carbon Export Buffering and CO2 Drawdown by Flexible Phytoplankton C:N:P Under Glacial Conditions

Modern observations indicate that variations in marine phytoplankton stoichiometry correlate with the boundaries of major surface waters. For example, phytoplankton in the oligotrophic subtropical gyres typically have much higher C:N:P ratios (i.e., higher C:P and higher N:P ratios) than those in eutrophic upwelling regions and polar regions. Such a spatial pattern points to nutrient availability as a key environmental driver of stochiometric flexibility. Environmental dependence of phytoplankton C:N:P opens unexplored possibilities for modifying the strength of the biological pump under different climate conditions. Here we present a power law formulation of C:N:P flexibility that is driven by nutrients, temperature, and light. We embed the formulation in a global ocean carbon cycle model with multiple phytoplankton types and explore biogeochemical implications under glacial conditions. We find three key controls on export C:N:P ratio: phytoplankton physiology and community structure as well as the balance in regional production at the global level. Glacial inputs of iron and sea ice expansion are important modifiers of these three controls. We also find that global export C:N:P increases substantially under glacial conditions, and this strongly buffers global carbon export against decrease and draws down approximately 20 μatm of atmospheric CO2. These results point to the importance of including phytoplankton C:N:P flexibility in a mix of mechanisms that drive atmospheric CO2 over glacial‐interglacial time scale. Finally, our simulations indicate decoupling of nutrients, which may provide a resolution to the longstanding disagreement regarding nutrient utilization in the glacial Southern Ocean derived from different nutrient proxies.
Detecting Slow Slip Events From Seafloor Pressure Data Using Machine Learning

Detecting slow slip events (SSEs) at offshore subduction zones is important to understand the slip behavior on offshore subduction megathrusts, where tsunamis can be generated. The most widely used method to detect SSEs is to measure the vertical seafloor deformation caused by SSEs using seafloor pressure data. However, due to the small signal‐to‐noise ratio and instrumental drift, such detection is very difficult. In this study, we trained a machine learning model using synthetic data to detect SSEs and applied it to real pressure data in New Zealand between 2014 and 2015. Our method detected five events, two of which are confirmed by the onshore GPS records. Besides, our model performs better than the traditional matched filter method. We conclude that machine learning could be used to detect SSEs in real seafloor pressure data. The method can be applied to other regions, especially where near trench GPS is not available.
Periphyton in Lakes of Different Trophy

In a study of 10 lakes in the Eastern Townships (Quebec) periphyton biomass correlated less well with total P (TP) concentration in the water than did phytoplankton biomass. The relationship with TP was improved somewhat when periphyton biomass was estimated as cell volume rather than as chlorophyll or organic material. When the community was divided among various groups according to taxa, life form, and size, only the biomasses of greens, filamentous algae, and algae exceeding 10 000 μm3 were correlated with TP. The biomass of the smaller algae, which are more readily grazed by benthos, was about the same in all lakes whereas nuisance forms increased significantly with P enrichment. At more eutrophic sites, maximal periphyton biomasses were observed in midsummer, coinciding with peak recreational use of lakes, whereas at the other sites, maxima appeared earlier in the season.
Impaired Proteasome Function Rescues Thermosensitivity of Yeast Cells Lacking the Coatomer Subunit ε-COP*

Formation of COPI-coated transport vesicles requires a cytosolic protein complex consisting of seven subunits: α-, β-, β′-, γ-, δ-, ε- and ζ-COP, collectively designated coatomer. The yeast Saccharomyces cerevisiaegene encoding the ε-COP subunit is known asSEC28/ANU2. anu2 null mutant cells (anu2Δ) are temperature-sensitive, and α-COP is rapidly degraded in these cells when they are shifted to the restrictive temperature. We isolated extragenic suppressors that rescue the temperature-sensitive growth defect of anu2Δ cells. Genetic analysis revealed that one of the suppressors is allelic toPRE8 (PRS4), which encodes a 20 S proteasome subunit. In the presence of a proteasome inhibitor, MG132,anu2Δ cells did not cease growth even at the restrictive temperature. Furthermore, MG132 inhibited the rapid decrease of α-COP levels in anu2Δ cells shifted to the restrictive temperature. However, secretion of certain proteins by these cells was impaired even in the presence of MG132. In conclusion, impairment of proteasome-dependent proteolysis rescued some, but not all, temperature-sensitive defects of anu2Δ cells. These results are discussed in terms of evidence that ε-COP plays a critical role in maintaining the structural integrity of α-COP.
i‐MXenes for Energy Storage and Catalysis

In 2017, a new family of in‐plane, chemically‐ordered quaternary MAX phases, coined i‐MAX, has been reported since 2017. The first i‐MAX phase, (Mo2/3Sc1/3)2AlC, garnered significant research attention due to the presence of chemically ordered Sc within the Mo‐dominated M layer, and the facilitated removal of both Al and Sc upon etching, resulting in 2D i‐MXene, Mo1.33C, with ordered divacancies. The i‐MXene renders an exceptionally low resistivity of 33.2 µΩ m−1 and a high volumetric capacitance of ≈1150 F cm−3. This discovery has been followed by the synthesis of, to date, 32 i‐MAX phases and 5 i‐MXenes, where the latter have shown potential for applications including, but not limited to, energy storage and catalysis. Herein, fundamental investigations of i‐MAX phases and i‐MXenes, along with their applicability in supercapacitive and catalytic applications, are reviewed. Moreover, recent results on ion intercalation and post‐etching treatment of Mo1.33C are presented. The charge storage performance can also be tuned by forming MXene hydrogel and through inert atmosphere annealing, where the latter renders a superior volumetric capacitance of ≈1635 F cm−3. This report demonstrates the potential of the i‐MXene family for catalytic and energy storage applications, and highlights novel research directions for further development and successful employment in practical applications.
Responses of the lichen Xanthoria parietina (L.) Th. Fr. to varying thallus nitrogen concentrations

The responses of the nitrophytic green algal lichen Xanthoria parietina to varying nitrogen (N) concentrations were investigated by collecting 67 X. parietina thalli from clay roof tiles from 13 sites in Portugal with different exposures to N. Concentrations of total N, chlorophyll a (a marker for the photobiont), ergosterol (a marker for the mycobiont), and thallus specific weight (TSW; thallus dry weight in relation to surface area) were quantified for each thallus to see how biont investments were related to thallus N concentrations. Thallus N ranged from 11 to 43 mg g−1 DW revealing a wider N concentration range in this lichen compared to other green algal lichen species. Both chlorophyll a and ergosterol concentrations increased with increasing thallus N, with a steeper increase of the photobiont marker. TSW was similar in all thalli without any significant effect of thallus N concentration, suggesting that thallus developmental patterns are similar in low and high thallus N concentrations. The relatively higher resource allocation to the photobiont in relation to the mycobiont with increasing thallus N concentrations is an indication of the capacity of X. parietina to meet the C demands associated with N assimilation. This result is also in agreement with the inter-specific resource allocation pattern for green algal lichens across the same N concentration range.
Design and Evaluation of Reconfigurable SDN LEO Constellations

In the context of the 5G ecosystem, the integration between the terrestrial and satellite networks is envisioned as a potential approach to further enhance the network capabilities. In light of this integration, the satellite community is revisiting its role in the next generation 5G networks. Emerging technologies such as Software-Defined Networking (SDN) which rely on programmable and reconfigurable concepts, are foreseen to play a major role in this regard. Therefore, an interesting research topic is the introduction of management architecture solutions for future satellite networks driven by means of SDN. This anticipates the separation of the data layer from the control layer of the traditional satellite networks, where the control logic is placed on programmable SDN controllers within traditional satellite devices. While a centralized control layer promises delay reductions, it introduces additional overheads due to reconfiguration and migration costs. In this paper, we propose a method to quantify the overhead imposed on the network by the aforementioned parameters while investigating the use-case scenario of an SDN-enabled satellite space segment. We make use of an optimal controller placement and satellite-to-controller assignment which minimizes the average flow setup time with respect to varying traffic demands. Furthermore, we provide insights on the network performance with respect to the migration and reconfiguration cost for our proposed SDN-enabled architecture. Finally, we compare our proposed space segment SDN-enabled architecture with alternative solutions in the state-of-the-art given the aforementioned performance metrics.
Sensory quality of carrots: Effect of harvest and storage time

This study aimed to determine how harvest and storage time influence the variation in the sensory attributes of carrots. Carrots harvested at different dates in September and October at an experimental site and on farms were analysed before and after storage. In general, delaying the harvest increased the sensory scores for juiciness, crispness, sweetness and overall flavour and decreased scores for bitterness, but the effects were not found in carrots from all locations. Frosts that injured carrots and resulted in a decline in sugar content in 1996 did not influence sensory quality. Storage had little effect on sensory quality, but juiciness and crispness frequently received lower gradings after storage. It is concluded that avoiding too early a harvest ensures the best sensory quality of carrots.
The Impact of Reinsurance Operations on Earnings Management in Jordanian Insurance Companies Listed on the Amman Stock Exchange

This study aims at identifying the impact of reinsurance operations on earnings management in the 16 Jordanian insurance companies listed on the Amman Stock Exchange for the period 2014-2018. The data and information were collected from the financial statements and reports of these companies. O1s Regression was used to test the hypothesis of the study. The findings of the study show that there is a positive impact of reinsurance operations on the earnings management in the Jordanian insurance companies, i.e. there are high earnings management practices in companies that have flowed for the insurance operation. The study recommends that other insurance tools should be used, whether legal, mutual or facultative reinsurance.
Nitrogen-doped phosphorene for electrocatalytic ammonia synthesis

The rapid surface oxidation of phosphorene under ambient conditions is considered to be a serious issue for many applications, but is used here as a strategy to achieve efficient heteroatom doping. Highly crystalline nitrogen-doped phosphorene (N-phosphorene) is prepared using a combination of ball milling and microwave techniques. The prepared N-doped phosphorene nanosheets showed outstanding electrocatalytic performance as a new type of non-metallic catalyst for nitrogen (N2) to ammonia (NH3) conversion, with an NH3 yield rate and faradaic efficiency (FE) of up to 18.79 μg h−1 mgCAT−1 and 21.51%, respectively, at a low overpotential (0 V) versus the reversible hydrogen electrode (RHE). Density functional theory calculations revealed that the high nitrogen reduction reaction (NRR) FEs originate from the increased hydrophobicity at the N and O doped phosphorene surfaces, which in turn hinders the competing hydrogen evolution reaction (HER) in an alkaline environment and promotes the NRR. This work not only introduces an efficient strategy to chemically functionalize 2D phosphorene, but also opens a new avenue in using N-doped phosphorene nanosheets as a metal-free catalyst.
Spatio-Temporal Capsule-Based Reinforcement Learning for Mobility-on-Demand Coordination

As an alternative means of convenient and smart transportation, mobility-on-demand (MOD), typified by online ride-sharing and connected taxicabs, has been rapidly growing and spreading worldwide. The large volume of complex traffic and the uncertainty of market supplies/demands have made it essential for many MOD service providers to <italic>proactively</italic> dispatch vehicles towards ride-seekers. To meet this need effectively, we propose <monospace>STRide</monospace>, an MOD coordination learning mechanism reinforced spatio-temporally with capsules. We formalize the adaptive coordination of vehicles into a reinforcement learning framework. <monospace>STRide</monospace> incorporates spatial and temporal distributions of supplies (vehicles) and demands (ride requests), customers’ preferences and other external factors. A novel spatio-temporal capsule neural network is designed to predict the provider’s rewards based on MOD network states, vehicles and their dispatch actions. This way, the MOD platform adapts itself to the supply-demand dynamics with the best potential rewards. We have conducted extensive data analytics and experimental evaluation with five large-scale datasets (<inline-formula><tex-math notation="LaTeX">$\sim$</tex-math><alternatives><mml:math><mml:mo>∼</mml:mo></mml:math><inline-graphic xlink:href="he-ieq1-2992565.gif"/></alternatives></inline-formula>27 million rides from Uber, NYC/Chicago Taxis, Didi and Car2Go). <monospace>STRide</monospace> is shown to outperform state-of-the-arts, substantially reducing request-rejection rate and passenger waiting time, and also increasing the service provider’s profits.
Pengembangan modul praktikum mata kuliah Pancasila dengan model project citizen untuk menanamkan nilai-nilai antikorupsi pada mahasiswa

Proses penanaman nilai-nilai antikorupsi dikalangan mahasiswa harus terpadu antara teori dan praktik. Faktanya, praktik lapangan terkait penanaman nilai-nilai antikorupsi pada matakuliah Pendidikan Pancasila di Perguruan Tinggi minim sekali diterapkan. Salah satu faktor kesulitan mahasiswa maupun dosen dalam melaksanakan praktik lapangan karena tidak adanya modul praktikum. Oleh karena itu penelitian ini mengembangkan modul praktikum menggunakan model project citizen pada matakuliah Pendidikan pancasila untuk menanamkan nilai-nilai antikorupsi pada mahasiswa FITK UIN Maulana Malik Ibrahim Malang. Penelitian ini dirancang dengan menggunakan model pengembangan pembelajaran Walter Dick & Lou Carey. Kelayakan dan keefektifan pengembangan modul praktikum menggunakan project citizen pada matakuliah pancasila dapat untuk menanamkan nilai-nilai antikorupsi. Terdapat perbedaan signifikan pada menanamkan keterampilan dan sikap tentang nilai-nilai antikorupsi pada mahasiswa setelah menggunakan modul praktikum berbasis project citizen dari hasil produk pengembangan. Selain itu, modul praktikum berbasis Project Citizen Terbukti secara signifikan efektif untuk menanamkan keterampilan dan sikap tentang nilai-nilai antikorupsi pada mahasiswa. ----- The process of teaching anti-corruption values among students must integrate between theory and practice. Field practices related to instilling anti-corruption benefits in the Pancasila Education course in tertiary institutions are very minimal. One factor is the difficulty of students and lecturers in carrying out field practice because there is no practicum module. Therefore this study developed a practical module using the Project Citizen Model in Pancasila Education courses to instill anti-corruption values in FITK UIN students Maulana Malik Ibrahim Malang. This research designed using Walter Dick & Lou Carey's learning development model. The feasibility and effectiveness of the development of practical modules using project citizen in Pancasila courses can instill anti-corruption values. The results showed that there were significant differences in teaching skills and attitudes about anti-corruption values in students after using the Project Citizen-based practical module from the product development results. Besides that, the Project Citizen-based practical module proved to be significantly effective in instilling skills and attitudes about anti-corruption values in students.
Further Investigations on a Modified Avalanche Transistor-Based Marx Bank Circuit

Avalanche transistor-based Marx bank circuit (MBC) is widely used to generate nanosecond pulses with high amplitude, high repetition rate, fast rise time, and low jitter. Recently, the problem that avalanche transistors in the first several stages of <inline-formula> <tex-math notation="LaTeX">$M \times N$ </tex-math></inline-formula>-stage MBC fail frequently has been alleviated by adopting auxiliary triggering topology (ATT). However, the reasons for improvement and the optimal design method have not been fully understood. In this article, a flexible <inline-formula> <tex-math notation="LaTeX">$4\,\,\times10$ </tex-math></inline-formula>-stage MBC is developed to further investigate the output characteristics under different modified stages, capacitors, and loads through both experiments and simulations. The results show that on the one hand, adopting ATT will cause energy loss of the main capacitors to auxiliary triggering capacitors, which can decrease the output voltage; and on the other hand, transistors operating in the auxiliary triggering switching-ON mode have lower residual voltage than in the lower overvoltage switching-ON mode, which can increase the output voltage. This implies that there exists an optimal value of modified stages, which is 5 for the <inline-formula> <tex-math notation="LaTeX">$4\,\,\times10$ </tex-math></inline-formula>-stage MBC. Besides, by adopting ATT, the waveform of output pulse changes, and the rising edge becomes faster. Finally, a repetitive nanosecond pulse generator is developed based on the optimized parameters, which can produce pulses with an amplitude of 9.04 kV, a rise time of 3.4 ns, a pulse width of 18.8 ns, and a maximum repetition rate of 1 kHz at the 75-<inline-formula> <tex-math notation="LaTeX">$\Omega $ </tex-math></inline-formula> open-ended cable. Also, the feasibility of this modified MBC is validated by the preliminary experiments of driving atmospheric pressure plasma jet (APPJ).