Miracle-dz/UniFAR-FTUs huggingface dataset:
Análisis del proceso de digitalización de un centro de Enseñanza Secundaria desde el modelo DigCompOrg

El logro de una competencia digital entre el alumnado se ha convertido en un objetivo principal dentro de las políticas educativas españolas de las últimas décadas. A este respecto, el Marco Europeo para Organizaciones Educativas Digitalmente Competentes (DigCompOrg) guía a los centros educativos en su proceso de digitalización de forma sistemática. Este trabajo evalúa el uso de las tecnologías de aprendizaje de un centro de enseñanza secundaria de la Región de Murcia (estudio de caso) según las dimensiones contempladas en el modelo europeo. El diseño de la investigación se fundamenta en el modelo ADDIE y escoge una metodología mixta en la que se aplican técnicas de tipo cuantitativo (cuestionario SELFIE) y cualitativo (grupo de discusión). Los resultados que se presentan aquí recogen el análisis de la información cualitativa del alumnado de Enseñanza Secundaria Obligatoria, profesorado y equipo directivo. Esta primera etapa de detección de necesidades ha permitido al centro establecer un proceso de autorreflexión y autoevaluación sobre su proceso de digitalización, así como la propuesta de acciones y estrategias de mejora que refuercen su compromiso con las pedagogías digitales. Entre ellas destaca el desarrollo de una estrategia digital de centro, establecer mecanismos de evaluación del progreso o trabajar con tecnologías de aprendizaje digital que fomenten la autoevaluación y coevaluación, acciones todas ellas relacionadas con las dimensiones de liderazgo y prácticas evaluativas del modelo europeo.
Design and Performance Analysis of Misalignment Tolerant Charging Coils for Wireless Electric Vehicle Charging Systems

In order to design a high efficiency Wireless Electric Vehicle Charging (WEVC) system, the design of the different system components needs to be optimized, particularly the design of a high-coupling, misalignment-tolerant inductive link (IL), comprising primary and secondary charging coils. Different coil geometries can be utilized for the primary and the secondary sides, each with a set of advantages and drawbacks in terms of weight, cost, coupling at perfect alignment and coupling at lateral misalignments. In this work, a Finite Element Method (FEM)-based systematic approach for the design of double-D (DD) charging coils is presented in detail. In particular, this paper studies the effect of different coil parameters, namely the number of turns and the turn-to-turn spacing, on the coupling performance of the IL at perfect alignment and at ±200 mm lateral misalignment, given a set of space constraints. The proposed design is verified by an experimental prototype to validate the accuracy of the FEM model and the simulation results. Accordingly, FEM simulations are utilized to compare the performance of rectangular, DD and DDQ coils. The FEM results prove the importance of utilizing an additional quadrature coil on the secondary side, despite the added weight and cost, to further improve the misalignment tolerance of the proposed inductive link design.
Multistart global optimization with tunnelling and an evolutionary strategy supervised by a martingale

ABSTRACT Global optimization is one of the most difficult research topics in the optimization area. In the past few decades, many stochastic methods have been proposed that proved to be effective. In this article, a new multistart global optimization method, using tunnelling and an evolutionary strategy and supervised by a martingale (MGO-TEM) is proposed, which also belongs to the stochastic family. MGO-TEM is under a multistart framework such that a local search method will be called when a new sample point is generated. A sampling technique that is a hybrid of tunnelling and an evolutionary strategy is proposed in MGO-TEM with a set of stopping criteria whose derivation is based on martingale theory. Through experiments, MGO-TEM is compared with 10 other well-known algorithms on 55 single-objective test functions, and the results show that MGO-TEM is superior to all of them. Moreover, MGO-TEM is user-friendly since there are only two parameters to be tuned.
Enhancement of Spin–Orbit Torque by Strain Engineering in SrRuO3 Films

Complex oxides with 4d/5d transition metal ions, e.g., SrRuO3, usually possess strong spin–orbit coupling, which potentially leads to efficient charge‐spin interconversion. As the electrical transport property of SrRuO3 can be readily tuned via structure control, it serves as a platform for studying the manipulation of charge‐spin interconversion. Here, a factor of twenty enhancement of spin–orbit torque (SOT) efficiency via strain engineering in a SrRuO3/Ni81Fe19 bilayer is reported. The results show that an orthorhombic SrRuO3 leads to a higher SOT efficiency than the tetragonal one. By changing the strain from compressive to tensile in the orthorhombic SrRuO3, the SOT efficiency can be increased from an average value of 0.04 to 0.89, corresponding to a change of spin Hall conductivity from 27 to 441 × ħ/e (S cm−1). The first‐principles calculations show that the intrinsic Berry curvature can give rise to a large spin Hall conductivity (SHC) via the strain control, which is consistent with the experimental observations. The results provide a route to further enhance the SOT efficiency in complex oxide‐based heterostructures, which will potentially promote the application of complex oxides in energy‐efficient spintronic devices.
Convergence or Disparity? A Cross-Country Analysis of Corporate Social Responsibility Reporting for Banking Industry in Nordic Countries and China

This research investigates the corporate social responsibility (CSR) reporting for banking industry in Nordic countries and China, and compares the convergence and disparity of disclosed CSR information across these two regimes. The study encompasses a sample of eight largest commercial banks by total assets in Nordic countries and China over a 5-year period of 2013–2017. We employ a disclosure index approach to assess the contents of CSR reporting based on eight categories and a total of 60 CSR indicators. The results indicate that Nordic banks have a higher overall disclosure level of CSR information than Chinese banks, and significantly ahead of their counterparts with respect to the international commitment, and a wider coverage of addressing stakeholders’ needs. In contrast, CSR reporting in Chinese banks put greater emphasis on national public policy and philanthropic activities. Nevertheless, all sample countries share a convergence on underlining the importance of complying with applicable laws and regulations. The study findings assert that the convergence and disparity of CSR reporting across countries is relevant to pre-existing socio-political institutions the firms can rely on. This research probes into an unexplored research territory by comparing the CSR reporting between banks from a so-called Nordic business-society model and a Confucian-tradition model. Hence, it entails some important policy prescriptions for the concerned administrators and corporate practitioners in the sample countries.
A Novel Gene Expression Signature-Based on B-Cell Proportion to Predict Prognosis of Patients with Lung Adenocarcinoma

Background: This study aimed to develop a reliable immune signature based on B-cell proportion to predict the prognosis and benefit of immunotherapy in LUAD.Methods: The proportion of immune cells in the TCGA-LUAD dataset was estimated using MCP-counter. The Least Absolute Shrinkage and Selector Operation was used to identify a prognostic signature and validated in an independent cohort. We used quantitative reverse transcription-polymerase chain reaction (qRT-PCR) data and formalin-fixed paraffin-embedded (FFPE) specimens immunohistochemistry to illustrate the correlation between prognostic signature and leukocyte migration. Results: We found that the relative abundance of B lineage positively correlated with overall survival. Then, we identified a 13-gene risk-score prognostic signature based on B lineage abundance in the testing cohort and validated it in a cohort from the GEO dataset. This model remained strongly predictive of prognoses across clinical subgroups. Further analysis revealed that patients with a low-risk score were characterized by B-cell activation and leukocyte migration, which was also confirmed in FFPE specimens by qRT-PCR and immunohistochemistry. Finally, this immune signature was an independent prognostic factor in the composite nomogram of clinical characteristics.Conclusions: In conclusion, the 13-gene immune signature based on B-cell proportion may serve as a powerful prognostic tool in LUAD.
A New No Equilibrium Fractional Order Chaotic System, Dynamical Investigation, Synchronization, and Its Digital Implementation

In this paper, a new fractional order chaotic system without equilibrium is proposed, analytically and numerically investigated, and numerically and experimentally tested. The analytical and numerical investigations were used to describe the system’s dynamical behaviors including the system equilibria, the chaotic attractors, the bifurcation diagrams, and the Lyapunov exponents. Based on the obtained dynamical behaviors, the system can excite hidden chaotic attractors since it has no equilibrium. Then, a synchronization mechanism based on the adaptive control theory was developed between two identical new systems (master and slave). The adaptive control laws are derived based on synchronization error dynamics of the state variables for the master and slave. Consequently, the update laws of the slave parameters are obtained, where the slave parameters are assumed to be uncertain and are estimated corresponding to the master parameters by the synchronization process. Furthermore, Arduino Due boards were used to implement the proposed system in order to demonstrate its practicality in real-world applications. The simulation experimental results were obtained by MATLAB and the Arduino Due boards, respectively, with a good consistency between the simulation results and the experimental results, indicating that the new fractional order chaotic system is capable of being employed in real-world applications.
Substantial changes in the probability of future annual temperature extremes

Extreme temperature events causing significant environmental and humanitarian impacts are expected to increase in frequency and magnitude due to global warming. The latest generation of climate model projections, Coupled Model Intercomparison Project Phase Six (CMIP6), provides a new and improved database to investigate change in future daily scale extreme temperature events. This study examines the changes in 1, 3, and 5 day averaged annual maximum temperature in four large CMIP6 ensembles. It analyses, using a generalized extreme value (GEV) method, the change in extreme daily mean temperatures at 1.5 and 2°C of global warming, levels highlighted by the 2016 Paris Agreement, and additionally at 3°C. Extremely hot events are characterized using the annual maxima of daily near surface air temperature in the SSP370 scenario. Global changes in the mode of the distributions (location parameter) follow long‐term summer warming and show very similar spatial patterns. Changes in variability (scale parameter) show a clear trend of increases over the tropics and decreases over higher latitudes, while changes to the tails of distributions (shape parameter) show less globally consistent trends but clear signals over the Arctic sea ice, behaviour also seen in variability. Risk ratios (RRs) indicating the change in probability of hot daily extremes that currently have a 10 year return period increase globally with mean temperature change, with greater increases over the tropics. Globally averaged changes in RR over land range from 3.1–3.6 to 7.9–8.3 for 1.5 and 3°C of warming, respectively. For the latter case, this indicates previously rare, once‐in‐a‐decade summer extremes will occur almost annually in the future under high warming.
Second-sourcing as a Commitment: Monopoly Incentives to Attract Competition - eScholarship

UMIVERSITY OF CALIFORNIA, BERKELEY Department o f Economics Berkeley, C a l i f o r n i a Working Paper SECOND-SOURCING AS A COMMITMENT: MONOPOLY INCENTIVES TO ATTRACT COMPETITION Joseph F a r r e l l and Nancy T. G a l l i n i October Key words: Second-sourcing, opportunism, dynamic c o n s i s t e n c y . commitment, licensing, Abstract We show t h a t a new p r o d u c t m o n o p o l i s t may b e n e f i t from (delayed) c o m p e t i t i o n i f consumers i n c u r set-up c o s t s . Set-up c o s t s c r e a t e a dynamic c o n s i s t e n c y problem: The m o n o p o l i s t cannot guarantee low f u t u r e p r i c e s once customers have i n c u r r e d t h o s e c o s t s . We show t h a t , i f customers a n t i c i p a t e t h i s problem, t h e m o n o p o l i s t ' s p r o f i t s can be improved through ex-ante commitment t o c o m p e t i t i o n i n t h e p o s t - a d o p t i o n market, i f set-up c o s t s a r e l a r g e . I f set-up c o s t s a r e s m a l l , t h e m o n o p o l i s t can t y p i c a l l y a c h i e v e t h e same l e v e l o f p r o f i t s without p r i c e commitment as w i t h . *We a r e g r a t e f u l t o Mukesh Eswaran, -Ashok Kotwal, M a r i a Maher, P a u l Milgrom, P i e r r e Regibeau, Kate R o c k e t t , Ralph Winter, two anonymous r e f e r e e s and seminar p a r t i c i p a n t s a t B e r k e l e y , S t a n f o r d , and C a l Tech f o r t h e i r comments and s u g g e s t i o n s . F a r r e l l ' s r e s e a r c h was supported by t h e N a t i o n a l S c i e n c e F o u n d a t i o n (grant IST-87-12238) , and G a l l i n i ' ' s by t h e S o c i a l S c i e n c e and Human- i t i e s Research C o u n c i l o f Canada. JEL C l a s s i f i c a t i o n :
A new methodology to estimate future water‐energy nexus based on artificial neural networks

We propose a new methodology to evaluate future electricity generation scenarios aiming to explore implications of different sets of power plants on the water‐energy nexus (W‐EN). We use two artificial neural networks: cascade forward back propagation and Kohonen neural networks (KNN). Initially, the future electricity production of the area under investigation is determined. Sequentially, water consumption is calculated for different combinations of plants. The scenarios with the lowest annual water consumption values are based only on wind and photovoltaic (PV) plants. Despite using only renewable energy, the inclusion of concentrating solar power in a future scenario brings a significant increase in water consumption, challenging the sustainability of this matrix. A conservative scenario (50% of electricity production by thermal power plants and 50% by renewable energy) shows the highest annual water consumption, also a barrier to sustainability.
A 0.18-ns Response Time Digital LDO Regulator with Adaptive PI Controller in 180-nm CMOS

Digital low drop-out regulator (D-LDO) with fast settling time and superior transient response is gaining increasing attention to make up for the deficiency of analog LDO. However, as the traditional digital LDOs regulate the output voltage code at a rate of 1 bit per clock cycle, the transient response speed is limited. In this paper, a multi-bit conversion technique is proposed to improve the transient response speed. The multi-bit conversion technique is achieved by an error detector with adaptive regulation of proportion and integration parameters in the digital controller before pass devices. Besides, a voltage sensor and a time-to-digital converter are employed to convert the output voltage to digital codes. Implemented in a 180-nm CMOS process, the proposed D-LDO features under 36/33 mV of undershoot/overshoot at VOUT = 0.95 V as the load current steps up with 40 mA/1 ns on a 0.5 nF load capacitor. The simulated response time is 0.18-ns, the figure-of-merit of speed FOM1 is 0.65 ps and FOM2 achieves 0.068 pF.
Markov Chain‐Based Stochastic Modeling of Deep Signal Fading: Availability Assessment of Dual‐Frequency GNSS‐Based Aviation Under Ionospheric Scintillation

Deep signal fading due to ionospheric scintillation severely impacts global navigation satellite system (GNSS)‐based applications. GNSS receivers run the risk of signal loss under deep fading, which directly leads to a significant decrease in navigation availability. The impact of scintillation on GNSS‐based applications can be mitigated via dual‐frequency signals which provide a backup channel. However, the benefit of dual‐frequency diversity highly depends on the correlation of fading processes between signals at different frequencies. This paper proposes a Markov chain‐based model that simulates the actual behavior of correlated fading processes in dual‐frequency channels. A set of recorded scintillation data was used to capture transitions among all fading states based on the fading and recovery of each signal frequency. A statistical study of deep fading characteristics in this data revealed that the Markov chain‐based model accurately generates realistic correlated fading processes. Using the proposed model, aviation availability of localizer performance with vertical guidance down to a 200‐foot decision height (“LPV‐200”) under a strong scintillation scenario is analyzed by considering the effects of signal outages due to deep fading. A parametric analysis of the availability resulting from variations in mean time to loss of lock, mean time to reacquisition, and ionospheric delay uncertainty was conducted to investigate the performance standards on GNSS‐based aviation under scintillation. The analysis results demonstrate a significant benefit of frequency diversity on aviation availability during scintillation. This model will further enable the assessment of GNSS‐based availability for aviation and other applications under a full range of scintillation conditions.
Evaluating the Expression of Wnt Pathway Related Genes in Mouse Vitrified Preantral Follicles: An Experimental Study

Background: Wnt signaling pathway plays critical role in ovarian follicle development. Therefore, the aim of this study was to evaluate the effects of vitrification on the expression of Wnt pathway related genes in preantral follicles (PFs). Methods: Isolated PFs (n=982) of 14–16 day old female mice (n=45: 15 for each group) were divided into fresh (n=265), toxicity (n=272), and vitrified (n=265). The mRNA levels of Wnt2, Wnt4, Lrp5 and Fzd3 were evaluated by real-time PCR on the 2nd and 6th days of culture period. One-way ANOVA was conducted to analyze the data. Post hoc Tukey’s HSD was used for multiple comparisons and p-value less than 0.05 was considered statistically significant. Results: The developmental parameters of fresh PFs were significantly higher than those of vitrified (p<0.001). There were no differences between fresh and vitrified PFs on the 2nd day of culture (p<0.001). Wnt4 expression levels decreased significantly in vitrified groups compared with fresh ones (p<0.001). Fzd3 and Lrp expression levels increased significantly in vitrified groups compared with those in the fresh group on the 2nd day (p<0.001). On the 6th day of culture period, the expression levels of Wnt2 and Fzd3 increased significantly in vitrified group compared to those of fresh group (p<0.001). Moreover, the expression levels of Wnt4 and Lrp increased significantly in toxicity groups compared to those of the control group (p<0.001). Conclusion: Vitrification increase the expression levels of Wnt2, Lrp and Fzd3 genes of PFs during in vitro culture.
Etude du potentiel de dégradation de la matière organique particulaire au passage eau douce-eau salée : cas de l'estuaire de la Gironde

Estimation du potentiel de degradation de la matiere organique particulaire (m. O. P) dans un estuaire. Mise au point et comparaison de differentes techniques (tests d'incubation, extractions chimiques, approches biochimiques) les mieux adaptees a l'etude d'echantillons du milieu estuarien. On montre que la disponibilite reelle d'une matiere organique pour le biota est correlable a la valeur nutritive de la meme fraction organique mesuree par la somme proteine + glucide + lipide ou par la quantite de carbone organique extrait apres attaque chimique moderee. Application de ces methodes a l'analyse de la degradabilite d'un bilan du carbone organique en transit
Multiple Mutations in Exon-2 of Med-12 Identified in Uterine Leiomyomata

Background: Uterine leiomyomata (UL), commonly known as uterine fibroids, are benign smooth muscle tumors of the myometrium. They cause pelvic pain, abnormal uterine bleeding, and infertility in women of reproductive age. The ovarian hormone estrogen is the main stimulator for the fibroid growth. The etiology is not yet clearly understood; however, UL are believed to be monoclonal tumors arising from a common progenitor cell. Chromosomal cytogenetic abnormalities have been demonstrated in 40–50% of the fibroids. The most frequent tumor specific genetic alterations in UL were identified in exon-2 of Mediator Complex Subunit 12 (MED-12). Methods: In the present study, twenty-two multiple fibroids were evaluated both from the same uterus and from different uteri, of four women, for somatic mutations in hotspot region of MED-12. The tissue DNA of the UL’s was isolated, amplified by PCR visualized on gel and sent for Sanger sequencing. Results: The results indicate several variants in exon-2 and flanking intronic regions, seven exonic variants and five intronic variants which provide evidence that multiple UL in the same uterus may not be clonal in origin. Conclusion: This study indicates genetic heterogeneity. UL may not have a clonal origin, these exon-2 variants of MED-12 gene could be involved in UL progression.
Triacylglycerols and polar lipids in cow and goat milk are differentially affected by various lipid supplemented diets

This study characterizes milk triacylglycerol (TAG) and polar lipid (PL) fractions from cows and goats fed various lipid supplements modulating milk fat content. Twelve Holstein cows and 12 Alpine goats, at 86 ± 24.9 and 61 ± 1.8 days in milk, respectively, were allocated to one of 4 groups to receive diets supplemented with either corn oil [5% dry matter intake (DMI)] plus wheat starch (COS), marine algae powder (MAP; 1.5% DMI) or hydrogenated palm oil (HPO; 3% DMI), or a no-added-lipid control diet (CTL), according to a 4 × 4 Latin square design with 28-d experimental periods. Milk TAG and polar lipid contents were determined by liquid chromatography-mass spectrometry. Multivariate analysis and ANOVA demonstrated major between-species differences in diet effects. In cows, COS specifically increased TAG 54:3 and 54:4 associated with milk fat depression (MFD), and increased the sum of phosphatidylcholines and phosphatidylinositols (PI). In addition to causing a MFD, MAP diet increased long-chain polyunsaturated TAG in both species, with higher magnitude in cows than in goats, and decreased the sum of PI in goats. HPO increased TAG 52:1 and the sum of PI in cows, but is not discriminated from CTL by its TAG composition whatever the species. Practical applications: Feed strategies can quickly and efficiently modulate the ruminant milk fat production and composition to improve nutritional quality for consumers. Certain starch-rich diets supplemented with polyunsaturated fatty acids (PUFA)-rich vegetable oils and diets supplemented with marine products (long-chain PUFA) reduce milk fat secretion and modify the milk fatty acids profile in cows, but not—or less so—in goats. Advanced analysis of both the TAG and polar lipid fractions of milk fat was required to unravel these differences in lipid metabolism between cows and goats fed various lipid-supplemented diets. This study brings new insight on using nutritional strategies to control milk lipid composition according to ruminant species. This article is protected by copyright. All rights reserved