Miracle-dz/UniFAR-FTUs huggingface dataset:
Breast Cancer Prognosis and Exposure to Hazardous Contaminants: An Observational Retrospective Study at Hermosillo, Sonora, Mexico

Breast cancer prognosis is related to genetic and non-genetic risk factors. Distinct models for risk prediction have been reported to evaluate the 5-year overall survival at the time of diagnosis. However, those models do not account for non-genetic risk factors, like residential exposure to hazards. In this work, the residential exposure to hazards (gas power plants (GPP), residual water sites (RWS), hazardous air pollutants (HAPs)) has been included for assessing prognosis. We hypothesize that there is a statistically significant association between a 5-year breast cancer prognosis and residential exposure to hazards at Hermosillo city. The main findings include the association between 5-year prognosis and residential exposure to hazards in Hermosillo residents. Association models developed included, in addition to hazard exposure, the variables of age, high cholesterol and triglycerides, previous cancer(s), diabetes mellitus type 2, menopausal status, and the 5-year prognosis as the response variable. CMH test included the variables of residential exposure and 5-year prognosis in combination with one of the remaining risk factors. Non-significant models developed included hazard exposure, and the variables of familiar history of cancer, presence of chronic illness(es), presence of elements of metabolic syndrome, hypertension, elevated HDL-cholesterol, and LDL-cholesterol. The conclusions of this work are that the associations between residential exposure to hazards, in combination with other variables (age, previous cancer(s), diabetes mellitus type 2, and menopausal status), predict for a poor 5-year prognosis. Models including the factors of older age, the presence of previous cancer(s), and postmenopausal status; predict a poorer 5-year prognosis (overall survival of 69 % or less).
Weakly-Supervised Video Object Segmentation

Video object segmentation is a standard problem in computer vision. Fully supervised methods rely on training models on pixel-level annotations. The problem is that these annotations are time consuming and costly. This paper performs video object segmentation using only a ﬁrst frame scribble of an object. We propose a method of generating super-pixels and labeling super-pixels as foreground using the scribble in the ﬁrst frame. The proposed loss function uses the cosine similarity between super-pixels to identify the rest of segmentation. We found in preliminary results that our model achieved an overall score of 0.16 on the YoutubeVOS data set compared to a baseline of 0.31.
The Relationship Between Moral Leadership and Organizational Citizenship Behavior: The Mediating Effect of Job Satisfaction

Moral Leadership is one of the most important leadership styles among Chinese enterprises, which are also the one of the leadership styles of the paternalistic leadership. Nowadays most Chinese are expecting the higher leaders who have highly standard moral across societies and organizations. It’s based on the founders of enterprises to show their moral in Chinese capital socialism. Organizational Citizenship Behavior (OCB) means a behavior of individuals without payment and it doesn’t have any system with formal remuneration, but promoting the behaviors of operation in organizations. Job satisfaction is the subordinate's psychological and physiological satisfaction with the working environment and job responsibilities. Therefore, this study believed that job satisfaction should be mediating the effect of virtues between leadership and OCB. Using the ROC army aviation as samples and by collecting 321 subordinate data, the results of data analysis indicated that: (1) Moral leadership had a positive and significant effect on job satisfaction and OCB; (2) Job Satisfaction had a positive and significant effect on OCB; and (3) Moral leadership had a positive, indirect, and significant effect on OCB through job satisfaction. Thus, job satisfaction mediated between moral leadership and OCB. Finally, based on the results of this study, recommendations were put forward as a reference for management practices and future follow-up studies.
Increasing Power Density of Kinetic Turbines for Cost-effective Distributed Power Generation

Kinetic hydropower generation involves the use of underwater turbines in relatively highvelocity rivers. Their design is relatively inexpensive, without the requirement for costly infrastructure such as dams or powerhouses but large power production requires the use of multiple units. Furthermore, with no associated reservoir or spillway, kinetic hydropower has minimal environmental impact. The focus of this study is on the design of the turbine shroud to increase the power density, especially for river deployment. Unlike wind energy, where the large rotor diameters preclude the use of shrouds, kinetic hydropower can take advantage of the shroud geometry to increase the flow speed which results in higher power densities for a given rotor diameter size. This aspect is particularly important for river applications where the diameter of the rotor is limited in size by the cross-sectional dimensions of the river, especially for high velocity applications and to leave room for the upper ice zone during spring runoff in colder climates. A review of kinetic hydropower and shroud development will be discussed. Numerical modeling results of various designs are presented and compared to conventional non-shroud designs. Compared to wind energy and small hydropower, limited commercialization has taken place for kinetic hydropower although the technology has been available for decades. Therefore, a further objective is to raise awareness of the power densities achievable for this promising form of alternative energy.
Choosing appropriate genetic markers and analytical methods for testing landscape genetic hypotheses

Landscape genetics and phylogeography both examine population‐level microevolutionary processes, such as population structure and gene flow, in the context of environmental and geographic variation. They differ in terms of the spatial and temporal scales they typically investigate, meaning that different genetic markers and analytical methods are better suited for testing the different hypotheses typically posed by each discipline. In a recent comment, Bohonak & Vandergast (2011) argue that I overlooked the value of mtDNA for landscape genetics in an article I published last year in Molecular Ecology (Wang 2010) and that a gap between landscape genetics and phylogeography, which I outlined, does not exist. Here, I clarify several points in my original article and summarize the commonly held viewpoint that different genetic markers are appropriate for drawing inferences at different temporal scales.
Epidural hematoma after total knee arthroplasty in a patient receiving rivaroxaban - A case report -

Rivaroxaban, a factor Xa inhibitor, is one of the newly developed direct oral anticoagulants (DOAC). In recent times, it has been increasingly used in the prevention of pulmonary embolism in patients undergoing orthopedic surgery. This report describes a case of epidural hematoma in an elderly patient who underwent combined spinal epidural anesthesia for total knee arthroplasty; the patient received rivaroxaban postoperatively for 7 days to prevent pulmonary embolism. Additionally, the epidural hematomas developed on the 5th postoperative day but the patient recovered well with conservative treatment. Although rivaroxaban has a low need for monitoring and is easily administered, the guidelines should be carefully checked for the postoperative administration schedule in patients undergoing regional anesthesia. In addition, rivaroxaban should be used with caution, especially in elderly patients.
Spatial Analysis of Pheromone-Baited Trap Captures from Controlled Releases of Male Indianmeal Moths

Abstract Early detection and precision targeting are key elements in a successful management strategy of stored product pests so that actions can be implemented while the population density is still low and controllable. The overall purpose of pheromone trapping is not to catch as many insect pests as possible, but to obtain monitoring data that provide as much information as possible about the spatio-temporal dynamics of the pest population. We placed 30 pheromone-baited traps in a grid with traps being 3–4 m apart in a relatively small trapping space with (1) no food, (2) no human activity, (3) all traps placed at the same height, and (4) no presence of Plodia interpunctella females (except when used as lures). Male moths were released from single locations, and the purposes of this study were to (1) evaluate the trapping efficiency (number of male P. interpunctella caught) when using different (Z,E)-9,12-tetradecadienyl acetate (Z9,E12–14:Oac) (ZETA) concentrations in lures, (2) release male P. interpunctella individuals from single locations and determine the relationship between pheromone-baited trap captures and distance from the release site, and (3) describe the spatial distribution pattern of pheromone-baited trap captures. The main conclusions were that (1) total trap captures of male P. interpunctella individuals were similar when deploying ZETA concentrations in lures ranging from 1 to 2,000 μg, (2) there was a significant exponential negative relationship between trap captures and distance from release sites when using live P. interpunctella females, 50 μg, or 500 μg as attractants, (3) the location of trap capture centroids was similar for trials with random and aggregated spatial distributions, (4) independently of pheromone concentration, most trap capture centroids were located within 3 m from the release site, and (5) even in a highly simplified environment, there was considerable difference in the spatial trends from three different release sites.
Otimização no custo para processamento de Big GeoSpatial Data em ambiente de nuvem computacional

Spatial Data represents abstractions of real-world entities and can be obtained in various ways. They have properties that di erentiate them from other types of data, such as a complex structure and dynamism. In recent years with the increasing volume of spatial data, referred to as big geospatial data, some tools have been developed to process this data e ciently, such as SpatialHadoop, a framework incorporated into Hadoop. The use of appropriate data indices based on the dataset to be processed, queries and operations to be performed is essential for the optimal performance of these applications. In particular, since public cloud providers charge based on the resources used, it is imperative to optimize application execution to avoid unnecessary expense. This paper proposes the construction of a Knowledge Base and an Inference Engine that seek to minimize the cost of processing big geospatial data in public cloud providers. In addition, a comparison of the services o ered by three public cloud providers for large-volume data processing is presented. The tests performed demonstrate that the use of rules generated by the Inference Engine and the choice of the lowest-cost provider can reduce the total processing cost by up to 71%.
Step Impedance Resonator (SIR) Loaded with Complementary Split Ring Resonator (CSRR): Modeling, Analysis and Applications

A novel resonant element that combines a step impedance resonator (SIR) and a complementary split ring resonator (CSRR) is presented in this paper. The specific topology consists of a shunt connected SIR (also known as step impedance shunt stub) in microstrip technology, with a CSRR etched in the ground plane, beneath the SIR capacitive patch. A lumped element circuit model of this composite resonator is proposed and validated by parameter extraction and comparison of the circuit response to full-wave electromagnetic simulations. Such model consists of a series LC resonator connected in series with a grounded parallel LC resonator. The CSRR-loaded SIR resonator exhibits a pole and two transmission zeros. Thus, this composite resonator is useful for the implementation of highly selective bandpass filters in microstrip technology. Moreover, since the CSRR can be used as sensing element, sensitive to the properties of its surrounding medium, the structure can be also applied to the implementation of sensors for dielectric characterization. Preliminary results of both applications are presented in this paper.
Analysing the Termination of Term Rewriting Systems using Data Mining

During the last decades, researchers in the ﬁeld of Term Rewriting System (TRS) have devoted a lot of effort in order to develop techniques and methods able to demonstrate the termination property of a TRS. As a consequence, some of the proposed techniques have been implemented and several termination tools have been developed in order to automatize the termination proofs. From 2004, the annual Termination Competition is the foro in which research groups compare their tools trying to provide termination proofs of as many TRS as possible. This event generates a large amount of information (results obtained by the different tools, time spent on each proof, .) that is recorded in databases. In this paper, we propose an alternative approach to study the termination of TRS: to use data mining techniques that, based on the historical information collected in the competition, generate models to explore the termination of a TRS. The goal of our study is not to develop a termination tool but to show, for the ﬁrst time, what machine learning techniques can offer to the analysis of TRS termination
Biological invasion alters regional nitrogen‐oxide emissions from tropical rainforests

We explored whether the invasion of an exotic, nitrogen (N) fixing tree into native Hawaiian tropical forests has altered regional emissions of nitrous oxide (N2O) and nitric oxide (NO), two atmospherically important trace gases produced by microorganisms in soils. Ecosystem processes, including nitrification and N‐oxide emissions, were not affected by Morella faya (formerly Myrica faya) invasion until it dominated the community with few native species in the overstory or understory. Remote‐sensing estimates of upper‐canopy leaf N concentration were strongly correlated to N‐oxide emissions in ecosystems at the mesic‐wet end of a precipitation gradient, where temperatures are warm, relatively constant, and N limits biological processes. In contrast, remotely sensed and field‐based canopy chemistry was not related to N‐oxide emissions in dry forest ecosystems where the seasonality of temperature and moisture exerted stronger control over soil gas fluxes. Thus, remote sensing of canopy N was useful for estimating the impact of M. faya on regional N‐oxide emissions only in regions receiving >1800 mm rainfall annually. Our estimates of N‐oxide emissions from M. faya are half as large and 35 times more precise than those made using traditional, plot‐level methods of extrapolation. Over the 40 years since its first occurrence in wet forests of Hawai'i Volcanoes National Park, M. faya has increased N‐oxide emissions 16‐fold, with its effects most pronounced in summer and at the N‐rich centers of dense, monospecific stands.
ROBOT ERGONOMICS: TOWARDS HUMAN-CENTRED AND ROBOT-INCLUSIVE DESIGN

This paper presents a cross-disciplinary approach to the design of robots and the designed environments they will inhabit and the objects they will operate in applications of social and service robotics. Such an approach brings together roboticists, architects, product, and interior designers in realizing new ways of collaboration to design innovative spaces and products that are ergonomically designed for diverse users as well as for robots. A design paradigm is proposed for realizing successful robot-inclusive designs using a case study of door handles to test our robot ergonomic principles.
Sensitivity of African biomes to changes in the precipitation regime

Aim Africa is identified by the Inter-governmental Panel on Climate Change (IPCC) as the least studied continent in terms of ecosystem dynamics and climate variability. The aim of this study was (1) to adapt the Lund-Postdam-Jena-GUESS (LPJ-GUESS) ecological modelling framework to Africa by providing new parameter values for tropical plant functional types (PFT), and (2) to assess the sensitivity of some African biomes to changes in precipitation regime. Location The study area was a representative transect (0-22 degrees N and 7-18 degrees E) through the transition from equatorial evergreen forests to savannas, steppes and desert northwards. The transect showed large latitudinal variation in precipitation (mean rainfall ranged from 50 to 2300 mm year(-1)). Methods New PFT parameters used to calibrate LPJ-GUESS were based on modern pollen PFTs and remote sensed leaf area index (LAI). The model was validated using independent modern pollen assemblages, LAI and through comparison with White's modern potential vegetation map. Several scenarios were developed by combining changes in total rainfall amount with variation in the length of the dry season in order to test the sensitivity of African biomes. Results Simulated vegetation compared well to observed data at local and regional scales, in terms of ecosystem functioning (LAI), and composition (pollen and White's vegetation map). The assessment of the sensitivity of biomes to changes in precipitation showed that none of the ecosystems would shift towards a new type under the range of precipitation increases suggested by the IPCC (increases from 5 to 20%). However, deciduous and semi-deciduous forests may be very sensitive to small reductions in both the amount and seasonality of precipitation. Main conclusions This version of LPJ-GUESS parameterized for Africa simulated correctly the vegetation present over a wide precipitation gradient. The biome sensitivity assessment showed that, compared with savannas and grasslands, closed canopy forests may be more sensitive to change in precipitation regime due to the synergetic effects of changed rainfall amounts and seasonality on vegetation functioning.
Compressible degree of freedom (CDOF): A potential strategy for improving wave energy capture.

The addition of a compressible degree of freedom (CDOF) to a wave energy converter (WEC), resulting in a compressible WEC, has been shown to significantly increase the power absorption compared to a rigid WEC of the same shape and mass for a variety of architectures. The present study demonstrates that a compressible point absorber, with a passive powertake-off (PTO) and optimized damping, can also achieve at the same performance levels or better than an optimally controlled rigid point absorber using reactive power from the PTO. Eliminating the need for a reactive PTO would substantially reduce costs by reducing PTO design complexity. In addition, it would negate the documented problems of reactive PTO efficiencies on absorbed power. Improvements to performance were quantified in the present study by comparing a compressible point absorber to a conventional rigid one with the same shape and mass. Wave energy is converted to mechanical energy in both cases using a linear damper PTO, with the PTO coefficient optimized for each resonance frequency and compressible volume. The large compressible volumes required to tune the compressible point absorber to the desired frequency are a practical limitation that needs to be addressed with further research; especially for low frequencies. If fact, all compressible volumes exceed the submerged volume of the point absorber by significant amounts; requiring auxiliary compressible volume storage units that are connected to the air chamber in
An introduction to nanothermodynamics: Thermal equilibrium for heterogeneous and finite-sized systems.

The theory of small-system thermodynamics was originally developed to extend the laws of thermodynamics to length scales of nanometers. Here we review this "nanothermodynamics," and stress how it also applies to large systems that subdivide into a heterogeneous distribution of internal subsystems that we call "regions. " We emphasize that the true thermal equilibrium of most systems often requires that these regions are in the fully-open generalized ensemble, with a distribution of region sizes that is not externally constrained, which we call the "nanocanonical" ensemble. We focus on how nanothermodynamics impacts the statistical mechanics of specific models. One example is an ideal gas of indistinguishable atoms in a large volume that subdivides into an ensemble of small regions of variable volume, with separate regions containing atoms that are distinguishable from those in other regions. Combining such subdivided regions yields the correct entropy of mixing, avoiding Gibbs paradox without resorting to macroscopic quantum symmetry for semi-classical particles. Other models are based on Ising-like spins (binary degrees of freedom), which are solved analytically in one-dimension, making them suitable examples for introductory courses in statistical physics. A key result is to quantify the net increase in entropy when large systems subdivide into small regions of variable size. Another result is to show similarity in the equilibrium properties of a two-state model in the nanocanonical ensemble and a three-state model in the canonical ensemble. Thus, emergent phenomena may alter the thermal behavior of microscopic models, and the correct ensemble is necessary for accurate predictions.
Bis(thio­semicarbazide)cadmium(II) bis­(maleate) dihydrate

In the title compound, [Cd(CH5N3S)2(H2O)2](C4H3O4)2·2H2O, the CdII ion lies on a centre of symmetry and is coordinated by two pairs of N and S atoms from two symmetry-related thio­semicarbazide ligands and two O atoms from two water mol­ecules in a distorted octa­hedral geometry. In the crystal structure, the components are effectively linked together by electrostatic inter­actions and hydrogen bonds of the O—H⋯O, N—H⋯O and N—H⋯S types into a three-dimensional network.
HARPALUS CALIGINOSUS AS A STRAWBERRY PEST, WITH NOTES ON OTHER PHYTOPHAGUS CARABIDÆ

In nearly all of our books relating to beneficial insects, published within the last twenty years, there is almost sure to be found, some where, the figure of a larva tragically devouring a smaller larva, the larger having been originally figured as that of Harpalus caliginosus. Although attention has for some time been called to the fact that the larva thus figured really belongs to another species, the true H. caliginosus being as yet unknown, yet the use of the figure in its old application still goes on. The carnivorous habits of the beetle itself, however, have been pointed out by Dr. Lintner, in his Twelfth Report, p. 209, where it is recorded as feeding on the army worm, and in Insect Life, p. 228, Vol. VII. , as feeding upon grasshoppers. The writer has also observed it preying upon other insects. For this reason, notwithstanding its known fondness for seeds and grain, it has been looked upon, generally, as a beneficial species, its known vegetable food consisting either of seeds of no economic value, or the amount of grain being too small to be taken into consideration.
Microstructure evolution and densification during spark plasma sintering of nanocrystalline W-5wt.%Ta alloy

ABSTRACT The present work reports the effect of Ta on densification and microstructure evolution during non-isothermal and spark plasma sintering of nanocrystalline W. Nanocrystalline W-5wt. %Ta alloy powder was synthesised using mechanical alloying. The nanocrystalline powder was characterised thoroughly using X-ray diffraction line profile analysis. Furthermore, the shrinkage behaviour of nanocrystalline powder was investigated during non-isothermal sintering using dilatometry. Subsequently, the alloy powder was consolidated using spark plasma sintering up to 1600°C. The role of Ta on stabilising the microstructure during spark plasma sintering of nanocrystalline W was investigated in detail using electron backscatter diffraction. The average grain size of spark plasma sintered W-5wt. %Ta alloy was observed as µm.