Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutrients as the dominant control on the spread of anoxia and euxinia across the Cenomanian-Turonian oceanic anoxic event (OAE2): Model-data comparison

[1] The Cenomanian-Turonian oceanic anoxic event (OAE2) is characterized by large perturbations in the oxygen and sulfur cycles of the ocean, potentially resulting from changes in oxygen supply (via oxygen solubility and ocean circulation) and in marine productivity. We assess the relative impact of these mechanisms, comparing model experiments with a new compilation of observations for seafloor dysoxia/anoxia and photic zone euxinia. The model employed is an intermediate-complexity Earth system model which accounts for the main ocean dynamics and biogeochemistry of the Cretaceous climate. The impact of higher temperature and marine productivity is evaluated in the model as a result of higher atmospheric carbon dioxide and oceanic nutrient concentrations. The model shows that temperature is not alone able to reproduce the observed patterns of oceanic redox changes associated with OAE2. Observations are reproduced in the model mainly via enhanced marine productivity due to higher nutrient content (responsible for 85% of the change). Higher phosphate content could have been sustained by increased chemical weathering and phosphorus regeneration from anoxic sediments, which in turn induced an enhanced nitrogen nutrient content of the ocean via nitrogen fixation. The model also shows that the presence of seafloor anoxia, as suggested by black-shale deposition in the proto-North Atlantic Ocean before the event, might be the result of the silled shape and lack of deep-water formation of this basin at the Late Cretaceous. Overall our model-data comparison shows that OAE2 anoxia was quasi-global spreading from 5% of the ocean volume before the event to at least 50% during OAE2.
Comparação entre avaliações de linguagem na infância e sua relação com risco psíquico

Objetivo: Comparar os resultados das avaliações de linguagem obtidas por protocolos centrados nas habilidades das crianças com os resultados de uma análise enunciativa em casos de atraso de linguagem, relacionando-os ao psiquismo. Método: Estudo de caso longitudinal, qualitativo, com três crianças de 24 meses. Elas foram avaliadas em suas habilidades linguísticas por meio dos protocolos DENVER II e BAYLEY III. A avaliação enunciativa foi realizada por meio da análise dos vídeos das interações entre as mães e os bebês a partir dos quais foram identificados os mecanismos e estratégias enunciativas. O risco psíquico foi avaliado por meio dos Indicadores Clínicos de Referência ao Desenvolvimento Infantil (IRDI) e Sinais PREAUT e comparado aos resultados do MCHAT. Resultados: As avaliações de linguagem demonstraram que o teste Bayley III é mais sensível ao atraso no domínio gramatical do que o Denver II. As análises enunciativas demonstraram a limitação nos mecanismos enunciativos no caso de risco psíquico mais grave, mas também as potencialidades linguísticas das crianças. Conclusão: A comparação permitiu identificar a diferença entre testes padronizados e a avaliação enunciativa, pois a limitação em mecanismos enunciativos e em alguns itens relacionados ao endereçamento da fala ao outro no teste Bayley III permitiu identificar as limitações de linguagem relacionadas com as alterações na intersubjetividade.
Uptake of zinc by the midge larvae Chironomus riparius at different salinities: Role of speciation, acclimation, and calcium

The uptake of zinc by the freshwater midge larvae Chironomus riparius was studied as a function of salinity. Fourth instar larvae were exposed to a salinity range up to 10‰ by diluting chemically defined seawater with chemically defined river water. The effect of prior acclimation at five different salinities on zinc uptake rate was examined. Solutions of different composition were tested to discriminate between the effect of the free zinc ion concentration, the free zinc ion activity, and the free calcium ion activity. Zinc uptake rate decreased with increasing salinity in all exposure solutions. Prior acclimation at salinities up to 10% did not influence zinc uptake rate. Changes in the free zinc ion activity explained most of the observed variation (58%). Changes in calcium ion activity had only a minor effect on zinc uptake (1%). Besides these effects the salinity of the exposure also influences the physiology of the larvae, altering zinc uptake when larvae are transferred from one salinity to another (6%). The combination of the different effects explained 65% of the total variation in zinc uptake by midge larvae. The remaining variation could not be explained by the experimental design and was attributed to natural variation in zinc uptake among midge larvae.
Integration of Storage Device using Full-Bridge Forward Dc-Dc Converter for a Residential Microgrid Application

The incorporation of renewable energy is limited in many ways by the variable and intermittent nature of its output. Hence, energy storage systems have to be used to buffer the source variations. A bidirectional dc-dc converter is generally needed to actively control the power flow between energy storage and the dc bus in residential microgrid applications. In this paper a new dc-dc converter topology has been proposed for residential microgrid. The proposed dc-dc converter has low number of switches compared to the converters usually applied to similar applications, high power operation, high usage of super capacitor stored energy, long battery life time, low input and output current ripple, high voltage ratio. These converter performances in microgrid are also approached in this paper. The simulations are carried out in Matlab/Simulink environment using simpower systems tool box.
Familial hypercholesterolemia in childhood: diagnostics, therapeutical options and risk stratification

Background Elevated LDL cholesterol (LDL-C) levels in childhood predict cardiovascular disease (CVD) later in life. Familial hypercholesterolemia (FH) represents the paradigm of this relation. Methods and Results The objectives of this study were to (1) establish the LDL-C level that provides the most accurate diagnosis of FH in children from families with known FH and (2) assess whether lipoprotein variation in these children is associated with premature CVD in relatives. Foremost, however, it was our objective to identify children with FH who are at high risk and in need of early intervention. A total of 1034 consecutive children from FH kindreds were investigated. First, LDL-C levels >3.50 mmol/L had a 0.98 post-test probability (95% CI, 0.96 to 0.99) of predicting the presence of an LDL receptor mutation. Second, children with FH in the highest LDL-C fertile (>6.23 mmol/L) had a 1.7-times higher incidence (95% CI, 1.24 to 2.36) of having a parent with FH suffering from premature CVD (P=0.001). In addition, such a parent was found 1.8 times more often (95% CI, 1.20 to 2.59) among children with FH who had HDL-C <1.00 mmol/L (P=0.004). Last, children with FH whose lipoprotein(a) was >300 mg/L had a 1.45-times higher incidence (95% CI, 0.99 to 2.13) of having a parent with FH suffering from premature CVD (P=0.05). Conclusions In FH families, LDL-C levels allow accurate diagnosis of FH in childhood. Moreover, increased LDL-C and lipoprotein(a) and decreased HDL-C levels in children identify FH kindreds with the highest CVD risk.
Design of instructions scheduling Mechanism in Hyper-Threading Architecture for Improving Performance

In the microprocessor system, exploiting ILP is an important key for improving performance. As instructions scheduling mechanism is designed complicated for employing ILP more efficient, the hardware cost will become larger in opposition. In the nowadays processor, they adopt the multiple scheduler queues to issue instructions so that the hardware cost will be not larger. But in this scheduling mechanism, it could successive issue the instructions that have dependence. This situation can makes that the utilization of execution units is not saturated. In the hyperthreading architecture, the instructions in the scheduler queue have high degree of parallelism. If we can decrease the probability of situation that successive issue the instructions that have dependence, the utilization of execution units will heighten. In this paper, we propose the scheduling mechanism called as priority-scheduling buffer to replace the original scheduler queues. The scheduling mechanism will divide an original scheduler queue into multiple virtual scheduler queues according to the dependence of instructions. the instructions that have dependence will dispatch into the same virtual scheduler queue. The instructions can be issued from the ahead of different virtual scheduler queues.
Some improved interactive aggregation operators under interval-valued intuitionistic fuzzy environment and its application to decision making process

The objective of this manuscript is to present an improved aggregator operator by taking into accountthe effect of an unknown degree (hesitancy degree) in an interval-valued intuitionistic fuzzysets (IVIFSs) environment. For this, firstly the shortcoming of the existing operators is addressedand then some improved operational laws on IVIFSs have been introduced. Based on these laws, anaggregation operator, namely an interval-valued intuitionistic fuzzy Hamacher interactive weightedaveraging (IVIFHIWA), ordered weighted averaging (IVIFHIOWA) and hybrid weighted averaging(IVIFHIHWA), have been proposed. Various properties related to these operators are also investigated.Furthermore, based on these operators, an approach to deal with multi-criteria decisionmaking (MCDM) problem is developed. Finally, a practical example is provided to illustrate thedecision making process.
A repetition-based framework for lyric alignment in popular songs

We examine the problem of automatically aligning acoustic musical audio and textual lyric in popular songs. Existing works have tackled the problem using computationally-expensive audio processing techniques, resulting in solutions unsuitable for any real-time application. In contrast, our work features only lightweight signal processing and is capable of realtime alignment. We investigate in repetition-based techniques and alignment algorithms to obtain a baseline alignment. A key extension of our work is to derive and utilize additional segmentation knowledge on both modalities to significantly enhance alignment performance by 34.85% and 8.18% in start and duration time errors. We conclude by suggesting a new repetition-based framework for lyric alignment together with a modular system design, where each module is independent and feasibly-extendable to improve the overall performance.
Thermal uniformity of 12-in silicon wafer during rapid thermal processing by inverse heat transfer method

Through an inverse heat transfer method, this paper presents a finite difference formulation for determination of incident heat fluxes to achieve thermal uniformity in a 12-in silicon wafer during rapid thermal processing. A one-dimensional thermal model and temperature-dependent thermal properties of a silicon wafer are adopted in this study. Our results show that the thermal nonuniformity can he reduced considerably if the incident heat fluxes on the wafer are dynamically controlled according to the inverse-method results. An effect of successive temperature measurement errors on thermal uniformity is discussed. The resulting maximum temperature differences are only 0.618, 0.776, 0.981, and 0.326/spl deg/C for 4-, 6-, 8- and 12-in wafers, respectively. The required edge heating compensation ratio for thermal uniformity in 4-, 6-, 8and 12-in silicon wafers is also evaluated.
Nonlinear imaging condition and the effect of source illumination: Imaging fractures as nonwelded interfaces

Fluid flow through a fractured reservoir is often controlled by the large fractures. Seismically imaging these large fractures has the potential to illuminate their hydraulic properties. We derived a nonlinear imaging condition considering a medium containing nonwelded interfaces such as fractures for high-resolution fracture imaging. This was achieved by using the general correlation-type representation theorem relating the wavefield between two different states representing different fracture compliances. We numerically tested the imaging condition to investigate the effect of the nonlinear term and that of the one-sided source illumination. Assuming a dry fracture, we calculated the wavefield from a nonwelded interface. We obtained a P-wave imaging result from P-wave sources. In the case of perfect source illumination, we found that introducing the nonlinear term in the imaging condition enhances the image because the nonwelded interface is imaged as a thin layer in an otherwise homogeneous medium. Investigating the effect of one-sided illumination by horizontally aligned sources revealed interesting limitations and possibilities. The imaging result for a horizontal fracture showed a volumetric distribution of nonzero amplitudes around the polarity change at the fracture that can be misinterpreted as a welded thick layer boundary. However, when the fracture was not horizontal, the imaging result was quite good and was closer to that with a perfect source illumination. These led to a new possibility of imaging subvertical fractures from surface seismic measurements, or subhorizontal fractures from vertical seismic profiling data, assuming that we successfully estimated the perturbed wavefield from the receiver responses.
Geostrophic Closure of the Zonally Averaged Atlantic Meridional Overturning Circulation

It is typically assumed that the meridional density gradient in the North Atlantic is well and positively correlated with the Atlantic meridional overturning circulation (AMOC). In numerical “water-hosing” experiments, for example, imposing an anomalous freshwater flux in the Northern Hemisphere leads to a slowdown of the AMOC. However, on planetary scale, the first-order dynamics are linked to the geostrophic balance, relating the north–south pressure gradient to the zonal circulation. In this study, these two approaches are reconciled. At steady state and under geostrophic dynamics, an analytical expression is derived to relate the zonal and meridional pressure gradient. This solution is only valid where the meridional density gradient length scale is shorter than Earth’s curvature length scale, that is, north of 35°N. This theoretical expression links the north–south density gradient to the AMOC and can be used as a closure for zonally averaged ocean models. Assumptions and shortcomings of the approach are presented. Implications of these results for paleoclimate problems such as AMOC collapse and asymmetry in the meridional overturning circulation of the Atlantic and of the Pacific are discussed.
Enumerating Floorplans with Some Properties

A plane drawing of a graph is called a floorplan if every face (including the outer face) is a rectangle. A based floorplan is a floorplan with a designated base line segment on the outer face. In this paper we give a simple algorithm to generate all based floorplans with at most n faces. The algorithm uses O(n) space and generates such floorplans in O(1) time per floorplan without duplications. The algorithm does not output entire floorplans but the difference from the previous floorplan. By modifying the algorithm we can generate without duplications all based floorplans having exactly n faces in O(1) time per floorplan, and all (non-based) floorplans having exactly n faces in O(n) time per floorplan. Also, given three integers n, k1 and k2, we can generate all based floorplans with exactly n faces containing at least k1 and at most k2 inner rooms in O(1) time per floorplan, where an inner room means a face which does not contain a line segment of the contour of the outer face.
Caracterização de etnias, sexos e faixas etárias em imagens faciais

ARAUJO, Bruno Sanchez de. Characterization of ethnicities, genders and age groups in facial images. 2018. 129 p. Dissertation (Master of Science) – School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, 2018. The ability to identify emotions is essential for adequate social interaction between individuals. There are psychiatric disorders, such as Autism Spectrum Disorder (ASD), which prevent recognition of emotions and impair people’s quality of life. An effective way to evaluate and train patients to identify emotions is needed. This work is part of a larger project that aims to provide representations of human faces with diverse emotions. There is already a system, implemented in our research group LAPIS-BIOINFOMED, which outputs face images with those emotions applied: aversion, fear, anger, satisfaction, surprise and sadness, but restricted to the young age group, male sex and Caucasian ethnicity. This system will be used in the future to develop serious games to support the treatment of patients with ASD, by presenting facial images with emotional expressions, so that the emotion can be guessed by the patient. The aim of the present study was to expand the existing algorithm to allow the combination of different age groups, genders and ethnicities, allowing the generated images to be closer to or more distant from the patient’s life, graduating the difficulty in the recognition of the emotions applied to the images. In this work, the state of the art was presented in the literature for the area of representation of sexes, ethnicities and age groups in face images. These data were compared with characteristics extracted from articles with anthropometric data, which store the main measurements and distances between regions of the human face (eyes, mouth, nose, etc.) for different ethnic groups, age groups and sexes. After this analysis, the characteristics that best differ the three studied diversities were added to the imaging algorithm . Features that were not presented in the anthropometric data were also added, such as wrinkles, both age and some emotions. The final product of this project is the comparison between the characteristics used in the literature and the characteristics extracted from the anthropometry, and the expansion of the current algorithm contemplating the ethnic, age and sex diversities, allowing the user to choose a configuration of these diversities for the generation of the images with the applied emotions.
Calculated thermodynamic properties and phase transitions of solid N2 at temperatures 0≤T≤300 K and pressures 0≤P≤100 GPa

Thermodynamic properties of solid nitrogen are calculated over a variety of isotherms and isobars using a constant pressure Monte Carlo method with deformable, periodic boundary conditions. Vibron frequencies are calculated using a simple perturbation theory. In addition, pressure–volume relations, thermal expansion coefficients, structures, and phase transition pressures and temperatures are determined. In particular, the nature of the orientational disorder in the plastic crystal phases is examined by calculating a variety of orientational order parameters.
The Critical Success Factors for Implementation of Electric Customer Relationship Management in the Commercial Bank of Viet Nam

In the context of globalization and international economic integration currently, competitive pressure from the requirements of customers for banking product and services are increasing. Banks must increase investment in technological applications, built and develop modern infrastructure to diversify the banking products and services, in which the most flourishingsector is electronic banking services. Implementing successfully Electric Customer Relationship Managemet - eCRM solutions banks are expected to be the optimal solution increasing ability to understand and approaching customers better, thereby improving the bank's competitiveness. However, successful rate of implementing eCRM in world as well as in Vietnam is not high. Banks implemented eCRM often have not achieved success as expected. This study identifies and quantifies the factors that affect the success of eCRM implement of commercial banks in Vietnam, then propose solutions helping banks implement successfully eCRM solutions, improving competitive competence of commercial banks in Vietnam today.
Design and Implementation of Novel Multiplier using Barrel Shifters

The paper presents a design scheme to provide a faster implementation of multiplication of two signed or unsigned numbers. The proposed scheme uses modified booth's algorithm in conjunction with barrel shifters. It provides a uniform architecture which makes upgrading to a bigger multiplier much easier than other schemes. The verification of the proposed scheme is illustrated through implementation of 16x16 multiplier using ISIM simulator of Xilinx Design Suite ISE 14.2. The scheme is also mapped onto hardware using Xilinx Zynq 702 System on Chip. The performance is compared with existing schemes and it is found that the proposed scheme outperform in terms of delay.
Modified Millimeter-Wave Wilkinson Power Divider for Antenna Feeding Networks

This paper outlines typical issues in the design and fabrication of microstrip Wilkinson power dividers. As a practical solution, a modifled Wilkinson divider conflguration is proposed and designed for millimeter-wave antenna feeding networks. In this design, all microstrip branches and the resistive strip exhibit the same characteristic impedance. Probe measurements of S-parameters underline good matching, transmission and isolation characteristics of the proposed divider.
Enhancing Smartphone-Based Multi-modal Indoor Localization with Camera and WiFi Signal

One of the major challenges in indoor localization is the matching difficulty and prediction accuracy of anchor points. In this work, we innovate in proposing a camera-based, sensorand WiFi-assisted, and easy-to-deploy system for localization. The proposed method is based on muliti-modal sensing to enhancing localization measurement. We implement a prototype with smartphones and commercial WiFi devices and evaluate it in distinct indoor environments. Experimental results show that the 85-percentile error is within 0.21m for indoor POIs that sheds light on sub-meter level localization.
Gender research in rural geography

This review examines the development of research on gender within the broad arena of rural studies. It does so through four main themes: community, work, environment and sexuality. Drawing on work from a range of Western countries, the review shows how an early reluctance to engage with feminist research and work on gender more broadly has given way to a highly active, diverse and rich research direction in rural studies. The review selectively charts key phases in the development of rural gender studies and shows how research has moved from conceptualising rurality as 'container' for the creation, performance and contestation of gender roles to seeing the rural as integral to the actual construction of gender identities and to the ways they are performed and negotiated. As well as highlighting past research areas, the review suggests some directions for the future development of rural gender studies.
Effects and Action Mechanism of Low Level Laser Therapy (LLLT): Applications in Periodontology

Lasers nowadays have several applications in many research fields. In the life sciences and especially in Periodontology, Low Level Laser Therapy (LLLT) has proven to be particularly interesting. Low intensity radiation in specific wavelengths has been known to trigger cellular proliferation and differentiation, through molecular mechanisms that are still not fully elucidated. These effects might be triggered by mitochondria and through Reactive Oxygen Species (ROS). These in turn, can activate other molecular pathways and signaling cascade, resulting in the activation of a plethora of transcriptional factors. In this review we aim to highlight the mechanism of action and the effects of LLLT. We also aim to highlight how different wavelengths and energy applied can have a distinct impact on the effectiveness of LLLT. Finally, we provide insight on its current and potential future applications.