Miracle-dz/UniFAR-FTUs huggingface dataset:
The dApp economy: a new platform for distributed innovation?

ABSTRACT We study the emerging innovation frontier of decentralised applications (dApps) and blockchain platforms. We describe the fundamental features of decentralised blockchain platforms and illustrate the growth of the dApp economy as well as the emerging variety of blockchain platforms. We also characterise the dApp ecosystem highlighting the new types of parties, such as transaction validators, that are essential in the functioning of decentralised platforms. We show how design choices moderate the impact of decentralisation of the transaction system on digital innovation. By comparing decentralised platforms against centralised platforms and hierarchies, we pinpoint the limited opportunities for strategic action on the part of the platform provider to shape the direction of innovation. We speculate that the limited governability of blockchain platforms can give rise to an abundance of generativity and unpredictability in these ecosystems.
The smooth, spire-bearing brachiopods after the terminal Ordovician extinction through lower Llandovery in the central Oslo region, Norway

Abstract. Strata of the Solvik Formation in the central Oslo region (upper Hirnantian to upper Aeronian) are rich in atrypides that elucidate the evolution of this group. A few athyridide brachiopods are also present. Eleven taxa of smooth spire-bearers are described taxonomically using fossils and peels. Among these occur one new genus, Eisaella, and five new species: Eisaella uniplicata, Thulatrypa huangi, T. vikenensis, ? Becscia pentagona, and Shelvothyris bivittata. Atrypides make up 30% (24 genera) of the total brachiopod genera in the Solvik Formation, more than one third of the known global atrypide fauna during that interval. Most are members of the family Lissatrypidae, illustrating the evolution of this group from upper Hirnantian and lower Silurian strata. These show close affinity to each other attesting to ongoing radiation. The new genus Eisaella is a likely ancestor of Lissatrypa, while Meifodia displays a gradual evolution through the formation. Atrypides were most diverse at the base and top of the Solvik Formation due to heterogony in environments and water depth, but were less diverse in the comparatively constant environmental setting of the late Rhuddanian time. The basal assemblages with few atrypides from shallow facies may be compared to the shallow Cathay Fauna of China. Most of the abundant Norwegian atrypide fauna is found in deeper water with few comparable faunas known globally. The Oslo region may have served as a center for the evolution and spread of atrypides immediately following the end-Ordovician glacial drawdown in sea level.
Temporal Behavior of Local Characteristics in Complex Networks with Preferential Attachment-Based Growth

The study of temporal behavior of local characteristics in complex growing networks makes it possible to more accurately understand the processes caused by the development of interconnections and links between parts of the complex system that occur as a result of its growth. The spatial position of an element of the system, determined on the basis of connections with its other elements, is constantly changing as the result of these dynamic processes. In this paper, we examine two non-stationary Markov stochastic processes related to the evolution of Barabási–Albert networks: the first describes the dynamics of the degree of a fixed node in the network, and the second is related to the dynamics of the total degree of its neighbors. We evaluate the temporal behavior of some characteristics of the distributions of these two random variables, which are associated with higher-order moments, including their variation, skewness, and kurtosis. The analysis shows that both distributions have a variation coefficient close to 1, positive skewness, and a kurtosis greater than 3. This means that both distributions have huge standard deviations that are of the same order of magnitude as the expected values. Moreover, they are asymmetric with fat right-hand tails.
A 1–2-GHz Quadrature Balanced N-Path Receiver for Frequency Division Duplex Systems

The implementation of fully integrated frequency division duplexing (FDD) transceivers imposes many challenges, such as receiver (RX) desensitization by the transceiver (TX), reciprocal mixing, and sensitivity, to antenna voltage standing wave ratio (VSWR) variations. Here, we present the quadrature balanced N-path receiver (QBNR) architecture. The QBNR is composed of a quadrature hybrid and two identical mixers, presenting a short circuit and 50-<inline-formula> <tex-math notation="LaTeX">$\Omega $ </tex-math></inline-formula> matching in the TX and RX bands, respectively. The TX power reflects at the mixers and reconstructs in-phase at the antenna, while the RX signal from the antenna can be reconstructed in phase at the baseband RX port. This architecture provides wideband FDD functionality while providing TX noise and local oscillator phase noise cancelation and antenna VSWR tunable compensation. Our implementation measurement results for an equalized configuration show more than 55-dB TX to RX isolation at frequencies of 1–2 GHz and for antenna VSWR of 2:1, with 3-dB TX loss and 4-dB RX loss, RX IP<sub>1 dB</sub> of 5 dBm and TX IP<sub>1 dB</sub> of 16 dBm, and receiver <inline-formula> <tex-math notation="LaTeX">${B_{1\,\text {dB}}}$ </tex-math></inline-formula> of 10 dBm.
Statistical inference for a relaxation index of stochastic dominance under density ratio model

Stochastic dominance is usually used to rank random variables by comparing their distributions, so it is widely applied in economics and finance. In actual applications, complete stochastic dominance is too demanding to meet, so relaxation indexes of stochastic dominance have attracted more attention. The π index, the biggest gap between two distributions, can be a measure of the degree of deviation from complete dominance. The traditional estimation method is to use the empirical distribution functions to estimate it. Considering the populations under comparison are generally of the same nature, we can link the populations through density ratio model under certain condition. Based on this model, we propose a new estimator and establish its statistical inference theory. Simulation results show that the proposed estimator substantially improves estimation efficiency and power of the tests and coverage probabilities satisfactorily match the confidence levels of the tests, which show the superiority of the proposed estimator. Finally we apply our method to a real example of the Chinese household incomes.
Los biofilms orales y sus consecuencias en la caries dental y enfermedad periodontal

Introducción: La cavidad oral es la puerta de entrada al bienestar corporal total, por lo que el microbioma oral influye en la salud general de un individuo. La presencia de microorganismos poseen un desarrollo continuo, las bacterias orales evolucionaron para formar biofilms en las superficies duras de los dientes y en los tejidos blandos que a menudo contienen múltiples especies bacterianas produciendo patologías orales como la caries dental y enfermedad periodontal.La prevención se logra con la higiene bucal diaria,fluor,arginina y probióticos. Métodos: Se realizó una revisión de artículos científicos en idioma inglés y español en bases de datos científicas utilizando palabras combinadas de las palabras claves: bioflm oral, biofilm oral caries y periodontitis, biofilms periodontitis y caries dental. Conclusiones: El biofilm oral cuando no es controlado va a desarrollar un desequilibrio en la mircobiota oral desarrollando caries dental y enfermedad periodontal.
Knowledge and Practice Regarding Renewal of License among Staff Nurses

Background: A nurse is a healthcare professional who is responsible for the treatment, safety, recovery, and the overall care of a patient. Nurses advocate for health promotion, educate patients and the public on the prevention of illness and injury, provide care and assist in cure, participate in rehabilitation, and provide support. No other health care professional has such a broad and far-reaching role. Aim: The study was aimed to assess the level of knowledge and practice regarding renewal of license among staff nurses. Methodology: Non-experimental descriptive research design and non-probability convenient sampling technique was used to select 50 staff nurses. The assessment of the level of knowledge and practice among staff nurses was carried out by self-structured questionnaire and practice checklist. Result: Assessment of level of knowledge as well as practice regarding renewal of nursing license revealed that 9 (18%) of staff nurses had good knowledge, 39 (78%) moderate knowledge and 2(4%) poor knowledge, whereas 17 (34%) good practice, 32 (64%) poor practice and 1 (2%) didn’t perform renewal of license. It was concluded knowledge regarding nursing license has a significant association with checking of license status at p<0.05 level.On other hand, practice regarding nursing license had no significant association with demographic variables at p<0.05 level. Conclusion: It is inevitable to gain nursing license and do its renewal, as it will monitor minimum competencies and provides assurance to the public that predetermined standards have been met. Keywords: Nursing, license, renewal, staff nurses
MOOCS for Lifelong Learning, Equity, and Liberation

Quality education for all is both a human right based on social justice and liberation and a force for sustainable development and peace. The goal of education for all is stated in United Nations UNESCO Sustainability Goal 4, 2030 Agenda, which aims to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. This chapter is based on a systematic literature review. In this chapter, the focus is on global initiatives in education as a global common. The findings support that knowledge is a universal entity constructed by individuals, and it belongs to anyone anywhere and at any time. The year 2012 was dubbed the Year of the MOOC, but because of the COVID-19 pandemic, 2020 marked another milestone. MOOCs have dramatically changed the way people learn, and how to access knowledge. MOOCs offer an affordable, flexible way to learn new skills, advance a career, and deliver quality educational experiences. MOOCs have the potential to help individuals enjoy learning and acquire knowledge in a variety of ways. In the changing learning landscapes and the futures of learning, MOOCs can play a variety of roles, such as stand-alone courses in informal and non-formal learning and modules integrated into formal education. It is time to develop and offer more agile, seamless, rhizomatic learning opportunities that promote human rights equity and liberation.
Spatiotemporal Variations of Shallow Very Low Frequency Earthquake Activity Southeast Off the Kii Peninsula, Along the Nankai Trough, Japan

Cross‐correlation analysis was applied to long‐term onshore broadband records from April 2004 to March 2021 to detect and relocate shallow very low frequency earthquakes (VLFEs) southeast off the Kii Peninsula, along the Nankai Trough, Japan. We then determined the moment rate functions of detected shallow VLFEs using the Monte Carlo‐based simulated annealing method. According to this new comprehensive catalog, shallow VLFEs are widespread beneath the accretionary prism toe, but shallow VLFEs with large cumulative moments are localized around the western edge of the paleo‐Zenisu Ridge, which is subducted beneath southeast off the Kii Peninsula. Our results from the long‐term shallow VLFE catalog are well consistent with previous studies in this region, suggesting that heterogeneous structures and stress conditions due to the subducted paleo‐Zenisu Ridge promote the occurrence of shallow slow earthquakes. The relocated shallow VLFE epicenters illustrated three major episodes characterized by a similar activity area and five minor episodes characterized by different areas. The three major episodes exhibited slow frontal migration with different initiation locations, directions, and speeds, as well as several rapid reverse migrations. Episodes of minor activity were distributed in different locations within part of the area of major activity. Different patterns of shallow VLFE migration could reflect temporal changes in the pore‐fluid distribution or stress conditions of the plate boundary.
Cellwise outlier detection with false discovery rate control

This article is concerned with detecting cellwise outliers in large data matrices. We introduce a novel method that is able to fully exploit dependence structures among variables while controlling the false discovery rate (FDR). We reframe cellwise outlier identification into a high‐dimensional variable selection paradigm and construct “binate references” for data screening, estimation and information pooling. With the binate references, the proposed procedure forms a series of statistics that incorporate covariance information and utilizes a global symmetry property of these statistics to approximate the false discovery proportion. We show that the proposed method can control the asymptotic FDR under some mild conditions. Extensive numerical studies demonstrate that our method has reasonable FDR control and satisfactory power in comparison to existing methods.
The heterogeneity of European Higher Education Institutions: a configurational approach

ABSTRACT Classifications are a basic tool for research, which allow summarizing the diversity of objects in a number of categories that fits the cognitive abilities of the human mind. Their relevance for higher education is emphasized by the differentiation of institutional profiles. Yet, unlike in the US, there is currently no classification of European Higher Education Institutions (HEIs). This paper fills this gap by developing a classification of European HEIs, which focuses on differences in activity profiles and subject scope. To this aim, it uses data from an enriched version of the European Tertiary Education Register on a sample of more than 2000 HEIs in a large number of European countries. The classification comprises six classes that occupy distinct positions in a configuration space defined by two dimensions, i.e. research vs. educational orientation and subject specialization. Ex-post analysis shows that classes are identifiable and can be attributed meaningful labels; the class of research universities comprises most European HEIs competing in international rankings, while a class of generalist HEIs with lower research orientation that cuts across the traditional distinction between universities and Universities of Applied Sciences can be distinguished. Furthermore, three classes of specialist HEIs can be identified. The classification provides a meaningful representation of European higher education that is more fine-grained than the distinction between university and non-university sectors while remaining parsimonious. We, finally show how national categories map to the classification, displaying its potential to compare differences in national institutional settings across Europe.
Semantic Role Aware Correlation Transformer For Text To Video Retrieval

With the emergence of social media, voluminous video clips are uploaded every day, and retrieving the most relevant visual content with a language query becomes critical. Most approaches aim to learn a joint embedding space for plain textual and visual contents without adequately exploiting their intra-modality structures and inter-modality correlations. This paper proposes a novel transformer that explicitly disentangles the text and video into semantic roles of objects, spatial contexts and temporal contexts with an attention scheme to learn the intra- and inter-role correlations among the three roles to discover discriminative features for matching at different levels. The preliminary results on popular YouCook2 indicate that our approach surpasses a current state-of-the-art method, with a high margin in all metrics. It also overpasses two SOTA methods in terms of two metrics.
Distinct concentration‐discharge dynamics in temperate streams and rivers: CO2 exhibits chemostasis while CH4 exhibits source limitation due to temperature control

Streams and rivers are significant sources of carbon dioxide (CO2) and methane (CH4) to the atmosphere. However, the magnitudes of these fluxes are uncertain, in part, because dissolved greenhouse gases (GHGs) can exhibit high spatiotemporal variability. Concentration‐discharge (C‐Q) relationships are commonly used to describe temporal variability stemming from hydrologic controls on solute production and transport. This study assesses how the partial pressures of two GHGs—pCO2 and pCH4—vary across hydrologic conditions over 4 yr in eight nested streams and rivers, at both annual and seasonal timescales. Overall, the range of pCO2 was constrained, ranging from undersaturated to nine times oversaturated, while pCH4 was highly variable, ranging from 3 to 500 times oversaturated. We show that pCO2 exhibited chemostatic behavior (i.e., no change with Q), in part, due to carbonate buffering and seasonally specific storm responses. In contrast, we show that pCH4 generally exhibited source limitation (i.e., a negative relationship with Q), which we attribute to temperature‐mediated production. However, pCH4 exhibited chemostasis in a wetland‐draining stream, likely due to hydrologic connection to the CH4‐rich wetland. These findings have implications for CO2 and CH4 fluxes, which are controlled by concentrations and gas transfer velocities. At high Q, enhanced gas transfer velocity acts on a relatively constant CO2 stock but on a diminishing CH4 stock. In other words, CO2 fluxes increase with Q, while CH4 fluxes are modulated by the divergent Q dynamics of gas transfer velocity and concentration.
Prognostic Value of Resistance Proteins in Plasma Cells From Multiple Myeloma Patients Treated With Bortezomib

While multiple myeloma (MM) treatment with proteasome inhibitors and other agents yields encouraging results, primary and secondary resistance remains an emerging problem. An important factor in such treatment resistance is the overexpression of several proteins. The present study comprehensively evaluates the expression of POMP, PSMB5, NRF2, XBP1, cMAF and MAFb proteins in plasma cells isolated from the bone marrow of 39 MM patients treated with bortezomib-based regimens using enzyme-linked immunosorbent assay (ELISA). The proteins were selected on the basis of previous laboratory and clinical studies in bortezomib treated MM patients. It was found that the expression of the investigated proteins did not significantly differ between bortezomib-sensitive and bortezomib-refractory patients. However, the expression of some proteins correlated with overall survival (OS); this was significantly shorter in patients with higher POMP expression (HR 2.8, 95% CI: 1.1-7.0, p = 0.0277) and longer in those with higher MAFB expression (HR 0.32, 95% CI: 0.13-0.80, p = 0.0147). Our results indicate that high expression of POMP and MAFB in MM plasma cells may serve as predictors of OS in MM patients treated with bortezomib-based regimens. However, further studies are needed to determine the role of these factors in effective strategies for improving anti-myeloma therapy.
Phasor Measurement Unit Assisted Inverter—A Novel Approach for DC Microgrids Performance Enhancement

DC microgrids are set to change the landscape of future energy markets. However, a wide-scale deployment faces three major issues: initial synchronization of microgrid with the utility grid, slip management during its operation, and mitigation of distortions produced by the inverter. This paper proposes a Phasor Measurement Unit (PMU) Assisted Inverter (PAI) that addresses these three issues in a single solution. The proposed PAI continually receives real-time data from a Phasor Measurement Unit installed in the distribution system of a utility company and keeps constructing a real-time reference signal for the inverter. A well-constructed, real-time reference signal plays a vital role in addressing the above issues. The results show that the proposed PAI is 97.95% efficient.
Galilean-Invariant Characteristic-Based Volume Penalization Method for Supersonic Flows with Moving Boundaries

This work extends the characteristic-based volume penalization method, originally developed and demonstrated for compressible subsonic viscous flows in (J. Comput. Phys. 262, 2014), to a hyperbolic system of partial differential equations involving complex domains with moving boundaries. The proposed methodology is shown to be Galilean-invariant and can be used to impose either homogeneous or inhomogeneous Dirichlet, Neumann, and Robin type boundary conditions on immersed boundaries. Both integrated and non-integrated variables can be treated in a systematic manner that parallels the prescription of exact boundary conditions with the approximation error rigorously controlled through an a priori penalization parameter. The proposed approach is well suited for use with adaptive mesh refinement, which allows adequate resolution of the geometry without over-resolving flow structures and minimizing the number of grid points inside the solid obstacle. The extended Galilean-invariant characteristic-based volume penalization method, while being generally applicable to both compressible Navier–Stokes and Euler equations across all speed regimes, is demonstrated for a number of supersonic benchmark flows around both stationary and moving obstacles of arbitrary shape.
Evaluation of Depth of Invasion in Oral Squamous Cell Carcinoma with Ultra-High Frequency Ultrasound: A Preliminary Study

Intraoral ultrasonography has been widely employed for the preoperative assessment of tumor margins due to its capability to evaluate depth of invasion (DOI) and tumor thickness (TT). Recently, a novel ultrasonographic technique, ultra-high frequency ultrasound (UHFUS) has been increasingly applied to the study of oral lesions. This study evaluates the potential application of intraoral UHFUS to assess DOI and TT parameters of oral squamous cell carcinoma (OSCC) lesions. Patients clinically suspected of OSCC lesions were enrolled and underwent an intraoral UHFUS examination preoperatively. The parameters of TT, DOI, echogenicity, and vascularization were assessed. The parameters of TT and DOI as evaluated by means of UHFUS were compared to histology, which was set as the benchmark. Ten patients in total were enrolled. UHFUS-based DOI and TT measurements were found to positively correlate with histology (p < 0.05), although UHFUS provided a slight overestimation of DOI. No differences were found in terms of echogenicity or vascularization depending on the site of the lesion. According to these preliminary results, UHFUS could support the preoperative assessment of TT and DOI, potentially enhancing the clinical evaluation of OSCC.