Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi‐Instrument Observations of Ion‐Neutral Coupling in the Dayside Cusp

Using data from the Scanning Doppler Imager, the Super Dual Auroral Radar Network, the EISCAT Svalbard Radar, and an auroral all‐sky imager, we examine an instance of F region neutral winds which have been influenced by the presence of poleward moving auroral forms near the dayside cusp region. We observe a reduction in the time taken for the ion drag force to reorientate the neutrals into the direction of the convective plasma (on the order of minutes), compared to before the auroral activity began. Additionally, because the ionosphere near the cusp is influenced much more readily by changes in the solar wind via dayside reconnection, we observe the neutrals responding to an interplanetary magnetic field change within minutes of it occurring. This has implications on the rate that energy is deposited into the ionosphere via Joule heating, which we show to become dampened by the neutral winds.
Measuring Segmentation in the Financial News Market

Measuring the extent of news segmentation is important because it could be a source of investor disagreement. However, for news segmentation to arise, news must have room for interpretation. I infer both room for interpretation and news outlet characteristics from earnings announcement coverage and find evidence of economically significant news segmentation. Moreover, room for interpretation is an important determinant in an outlet's choice of which earnings announcements to cover. The resulting heterogeneous coverage is positively associated with trading volume and return volatility. The findings highlight how interactions between information properties and news market dynamics can influence information diffusion into prices.
Association study of serum soluble TREM2 with vascular dementia in Chinese Han population

Abstract Objective: Recent extensive evidence suggests that the triggering receptor expressed on myeloid cells 2 (TREM2) is closely implicated in the pathogenesis of Alzheimer’s disease (AD). However, no relative data exist regarding vascular dementia (VD). This study aimed to investigate the association between serum soluble TREM2 (sTREM2) and vascular dementia in Chinese Han population. Methods: A total of 120 VD patients and 120 cognitively normal controls matched for age and gender were enrolled for this study. Demographic and clinical characteristics were recorded at admission. Cognitive functions were assessed by the Mini-Mental State Examination (MMSE) and serum sTREM2 levels were detected using sandwich ELISA method. Results: Demographic and clinical characteristics did not differ dramatically between groups. Serum sTREM2 levels in VD patients are significantly decreased compared with normal controls. In VD patients, the serum sTREM2 levels were positively correlated with MMSE scores (r = 0.387, p = 0.008), and the association was independent of demographic and clinical characteristics (β = 0.396, p < 0.001). Conclusion: VD patients have significantly lower serum sTREM2 levels in comparison to normal controls. Serum sTREM2 levels may be used as a potential predictive biomarker of cognitive decline in VD.
Satisfaction of patients with health care services in tertiary care facilities of Riyadh, Saudi Arabia: A cross-sectional approach

As part of Saudi Vision 2030, the country's healthcare system is undergoing a significant makeover, with accessibility and effectiveness serving as the benchmarks for measuring patient care quality. This study's goal was to ascertain the degree of patient satisfaction with the medical care and services received in Riyadh's tertiary care facilities. The PSQ-18 (Patient Satisfaction Questionnaire-18), a standardized validated questionnaire including areas of “overall satisfaction,” “technical quality,” “interpersonal aspect,” “communication,” “financial aspect,” “time spent with the doctor,” and “accessibility and convenience,” was used in this cross-sectional study on 384 patients of two tertiary care facilities in Riyadh, Saudi Arabia, over a 6-month period. The degree to which sociodemographic characteristics and components of patient satisfaction are correlated was assessed using binary and multiple regression analysis. When the P-value was < 0.05, the results were considered significant and were presented as adjusted odds ratios (AOR). To ascertain how each PSQ-18 subscale affected other subscales, a Pearson Correlation analysis was conducted. The overall degree of satisfaction with all 18 items was 73.77%. The financial component received a rating of 81% compared to 77% for general satisfaction. Technical quality (75%) was followed by accessibility and convenience (73.5%), communication (73%), and interpersonal elements (72%). At 68%, the time spent in the doctor's domain received the lowest rating. The odds of satisfaction were increased by 3.87 times, 3.45 times, and 3.36 times among those who are employed, qualified by university education, and married compared to unemployed (P-value = 0.018), less qualified (P-value = 0.015) and singles (P-value = 0.026), respectively. The younger age group also made 1.78 times more of a difference in higher satisfaction ratings. The general satisfaction domain showed a positive association with other areas. Participants who were satisfied with the communication and accessibility and convenience domains of healthcare providers were the only ones who were typically satisfied with the domain of doctor time spent. The study's findings could act as a benchmark for Saudi Arabia's healthcare services as well as a starting point for quality assurance procedures.
Spatial distribution of the level of return of extreme precipitation events in Northeast Brazil

This study aimed to estimate levels of return of extreme daily precipitation events, associating them with natural disasters in Northeast Brazil (NEB), a region characterized by different climatic conditions and low rates of social and economic development. For this, generalized Pareto distribution (GPD) models were adjusted to the daily extreme precipitation data estimated by the Tropical Rainfall Measuring Mission (TRMM) 3B42 product of the multisatellite precipitation analysis for a period of 16 years (2000–2015). In addition, the estimates of the GPD model were compared using two data sources, TRMM and pluviometer. The investigation showed that the results of the GPD model estimated by means of the extreme data from the rain gauge and the TRMM were statistically the same, with 95% confidence. Thus, using the data referring to the 2,082 grid points of the TRMM, it was possible to map the spatial distribution of the estimates of the levels of return of extreme precipitation to the return periods of 2, 5 and 10 years, per seasonal period. In general, the results indicated that the intensity of expected extreme precipitation depends on the seasonal period and the place of occurrence of precipitation. The eastern NEB stood out as the region where the highest intensities of extreme precipitation are expected. Extreme precipitation values of up to 178 mm are expected in 2 years. The areas where natural disasters occurred in the years 2016, 2017 and 2018 are similar to those in which the highest rainfall intensities are expected. The results of this study can allow the evaluation of the spatial distribution of risks related to extreme precipitation events, and therefore, support the planning of regional public policies and environmental management for the prevention of natural disasters in NEB.
Data-Driven Agent-Based Model of Intra-Urban Activities

We propose an agent-based model (ABM) to simulate city-scale intra-urban activities and movements. We calibrate the ABM for New York City, using NYC Open Data trip diaries and taxi journeys. Model validation demonstrates that the ABM is able to accurately predict activity demand across the city. Further, when a new hospital wing is opened in Queens, a central district of New York City, the ABM is shown to accurately predict increased shopping demand on Staten Island, an isolated area located at the edge of the city. This demonstrates the value of applying ABM to simulate intra-urban movements and activities, offering dynamic scenario testing that is not available in many other forms of modelling.
Integrating lecture recording to support flexible learning and responsive pedagogies in a dual mode undergraduate law degree

iii Acknowledgement . v Declaration . vii List of tables . vii List of figures . viii List of abbreviations, acronyms and clarification of concepts used . ix CHAPTER 1: OVERVIEW OF THE STUDY . 1 1.
A Simple and Scalable Shape Representation for 3D Reconstruction

Deep learning applied to the reconstruction of 3D shapes has seen growing interest. A popular approach to 3D reconstruction and generation in recent years has been the CNN encoder-decoder model usually applied in voxel space. However, this often scales very poorly with the resolution limiting the effectiveness of these models. Several sophisticated alternatives for decoding to 3D shapes have been proposed typically relying on complex deep learning architectures for the decoder model. In this work, we show that this additional complexity is not necessary, and that we can actually obtain high quality 3D reconstruction using a linear decoder, obtained from principal component analysis on the signed distance function (SDF) of the surface. This approach allows easily scaling to larger resolutions. We show in multiple experiments that our approach is competitive with state-of-the-art methods. It also allows the decoder to be fine-tuned on the target task using a loss designed specifically for SDF transforms, obtaining further gains.
Genome-wide assessment of the population structure and genetic diversity of four Portuguese native sheep breeds

As the effects of global warming become increasingly complex and difficult to manage, the conservation and sustainable use of locally adapted sheep breeds are gaining ground. Portuguese native sheep breeds are important reservoirs of genetic diversity, highly adapted to harsh environments and reared in low input production systems. Genomic data that would describe the breeds in detail and accelerate the selection of more resilient animals to be able to cope with climatic challenges are still lacking. Here, we sequenced the genomes of 37 animals from four Portuguese native sheep breeds (Campaniça, Bordaleira Serra da Estrela, Merino Branco and Merino Preto) and 19 crossbred sheep to make inferences on their genomic diversity and population structure. Mean genomic diversities were very similar across these breeds (.30 ≤ Ho ≤ .34; .30 ≤ He ≤ .35; 1.7 × 10–3 ≤ π ≤ 3.1 × 10–3) and the levels of inbreeding were negligible (.005 ≤ FIS ≤ .038). The Principal Components, Bayesian clustering and Treemix analyses split the Portuguese breeds in two main groups which are consistent with historical records: one comprising Campaniça and Serra da Estrela together with other European and transboundary dairy breeds; and another of the well-differentiated multi-purpose Merino and Merino-related breeds. Runs of homozygosity analyses yielded 1,690 ROH segments covering an average of 2.27 Gb across the genome in all individuals. The overall genome covered by ROH segments varied from 27,75 Mb in Serra da Estrela to 61,29 Mb in Campaniça. The phylogenetic analysis of sheep mitogenomes grouped the Portuguese native breeds within sub-haplogroup B1a along with two animals of the Akkaraman breed from Turkey. This result provides additional support to a direct influence of Southwest Asian sheep in local breeds from the Iberian Peninsula. Our study is a first step pertaining to the genomic characterization of Portuguese sheep breeds and the results emphasize the potential of genomic data as a valid tool to guide conservation efforts in locally adapted sheep breeds. In addition, the genomic data we generated can be used to identify markers for breed assignment and traceability of certified breed-products.
CTSB promotes sepsis-induced acute kidney injury through activating mitochondrial apoptosis pathway

Background Acute kidney injury is a common and severe complication of sepsis. Sepsis -induced acute kidney injury(S-AKI) is an independent risk factor for mortality among sepsis patients. However, the mechanisms of S-AKI are complex and poorly understand. Therefore, exploring the underlying mechanisms of S-AKI may lead to the development of therapeutic targets. Method A model of S-AKI was established in male C57BL/6 mice using cecal ligation and puncture (CLP). The data-independent acquisition (DIA)-mass spectrometry-based proteomics was used to explore the protein expression changes and analyze the key proteomics profile in control and CLP group. The methodology was also used to identify the key proteins and pathways. S-AKI in vitro was established by treating the HK-2 cells with lipopolysaccharide (LPS). Subsequently, the effect and mechanism of Cathepsin B (CTSB) in inducing apoptosis in HK-2 cells were observed and verified. Results The renal injury scores, serum creatinine, blood urea nitrogen, and kidney injury molecule 1 were higher in septic mice than in non-septic mice. The proteomic analysis identified a total of 449 differentially expressed proteins (DEPs). GO and KEGG analysis showed that DEPs were mostly enriched in lysosomal-related cell structures and pathways. CTSB and MAPK were identified as key proteins in S-AKI. Electron microscopy observed enlarged lysosomes, swelled and ruptured mitochondria, and cytoplasmic vacuolization in CLP group. TUNEL staining and CTSB activity test showed that the apoptosis and CTSB activity were higher in CLP group than in control group. In HK-2 cell injury model, the CTSB activity and mRNA expression were increased in LPS-treated cells. Acridine orange staining showed that LPS caused lysosomal membrane permeabilization (LMP). CA074 as an inhibitor of CTSB could effectively inhibit CTSB activity. CCK8 and Annexin V/PI staining results indicated that CA074 reversed LPS-induced apoptosis of HK-2 cells. The JC-1 and western blot results showed that LPS inhibited mitochondrial membrane potential and activated mitochondrial apoptosis pathway, which could be reversed by CA074. Conclusions LMP and CTSB contribute to pathogenesis of S-AKI. LPS treatment induced HK-2 cell injury by activating mitochondrial apoptosis pathway. Inhibition of CTSB might be a new therapeutic strategy to alleviate sepsis-induced acute kidney injury.
Pricing and Job Allocation in Online Labor Platforms

Problem Definition: We model, analyze, and optimize the operations of an online labor platform that matches jobs to workers. The arrival of jobs and workers to the platform is stochastic and the job processing time is random. The platform chooses the fees per job and assigns jobs to workers with the goal of (i) maximizing platform revenues, (ii) minimizing the unpredictability in workers' profits, and (iii) minimizing any delay in processing the incoming jobs. Workers are sensitive to the revenue they make in the platform and, therefore, the worker arrival rate depends on the platform's pricing and job allocation strategy. Academic/Practical Relevance: We contribute to the fields of online platform operations and stochastic systems. The asymptotically optimal policy that we introduce is simple and practical. Our analysis provides new insights into the management of uncertainty in online platforms and how uncertainty impacts objectives (i), (ii), and (iii) above. Methodology: We propose a continuous-time stochastic model that describes the mechanics of the platform. We introduce a policy that sequentially allocates jobs to workers in a rotating manner. The optimal parameters of this policy are "corrected" versions of the fluid solution. Then, through an asymptotic analysis, we prove that this policy is optimal as the platform scales. Finally, we examine the policy's performance through a discrete event simulation. Results: We introduce a policy class called Uniform Allocation (UA) and provide an analytical characterization of the platform's behavior and performance under this policy class. Then, we design a UA policy that simultaneously optimizes objectives (i), (ii), and (iii) as the system scales. We obtain insights into the UA policy's behavior through a discrete event simulation and find that it leads to similar profits but much lower worker income variability compared to other policies. Implications: Our proposed pricing and assignment policy align objectives (i), (ii), and (iii) above. From an academic standpoint, we demonstrate how the platform's revenue maximizing pricing and allocation policies can also act as a form of risk pooling. From a practical standpoint, we determine that platform revenue maximization is not incompatible with predictable profits and stable schedules for workers.
The Impact of Drinking Water Quality and Sanitation on Child Health: Evidence from Rural Ethiopia

Abstract This paper examines the association between stored drinking water quality and sanitation on diarrhoea incidence among under-five children in Ethiopia. Using primary household survey data and microbiological water quality testing for Escherichia coli, our results show that uncontaminated stored drinking water and safe child stool disposal are associated with decreased child diarrhoea incidences of 18 and 20 percentage points, respectively. In contrast, neighbourhood concentration of pit latrine shows an increased incidence of child diarrhoea of 16 percentage points. To protect rural children from the risk of contracting diarrhoea, improving household drinking water quality and changing people’s behaviour towards safe sanitation practices is needed.
Effect of decarburisation and nitriding on the carbon content, precipitates, microstructure and texture of Nb-bearing grain-oriented silicon steel

ABSTRACT The decarburisation annealing processes of Nb-bearing grain-oriented silicon steel under different conditions were conducted. The effect of nitriding and decarburisation annealing time on the carbon content, precipitates, microstructure and texture of Nb-bearing grain-oriented silicon steel were investigated by the various analysis methods. The results show that the carbon content in the steel decreases as decarburisation time increasing, and decreases below 0.003% eventually. Larger number density and smaller size of precipitates were obtained in the sample treated by nitriding before decarburisation annealing process, leading to fine and uniform microstructure, which is beneficial to obtain excellent magnetic properties for Nb-bearing grain-oriented silicon steel. The main texture types of the experimental samples were γ-fibres with a peak at {111}<112 >. The nitriding before decarburisation annealing process makes little effect on texture evolution during decarburisation annealing process.
Richness, phylogenetic diversity, and abundance all have positive effects on invader performance in an arid ecosystem

In search of generalities in biological invasions, it is sometimes forgotten that invader success can be a function of both the diversity of the invaded community and the relatedness of the invader relative to community residents. Both qualities are likely to be especially important in stressful ecosystems, and identifying the species and community attributes that in ﬂ uence biological invasions can help direct management efforts in a sensitive ecosystem like those in arid regions. Pink Morning Glory, Ipomoea carnea Jaq. (Family: Convolvulaceae), is an annual vine native to Central and South America and is invasive in Egypt. We examined the performance of I. carnea at different densities in assembled communities of Egyptian annual native species. The native plant communities were manipulated to represent gradients of species richness and phylogenetic diversity and relatedness to I. carnea . We quanti ﬁ ed the performance of I. carnea in these communities and examined the contribution of resident species richness, phylogenetic diversity, and phylogenetic relatedness to invader resistance. Our ﬁ ndings revealed that there was a positive relationship between invader performance and its mean phylogenetic distance to the resident species. Furthermore, species-rich communities with more distantly related species positively contributed to invader performance in contrast to the classic biotic resistance hypothesis. Beyond these positive relationships, a positive density-dependent effect of I. carnea on its performance was observed. We conclude that facilitative interactions are potentially important drivers promoting the successful invasion of the nonnative species I. carnea in water-limited and harsh ecosystems. These results suggest that perhaps contrary to understanding from temperate systems, communities with a higher diversity of species could be more likely to be invaded by arid-adapted species that are distantly related to natives. Thus, policy and management in arid regions should carefully consider reviewing the importation of nonnative species that are phylogenetically distinct and adapted to arid conditions and prioritizing their control once they are established.
Multidecadal Basal Melt Rates and Structure of the Ross Ice Shelf, Antarctica, Using Airborne Ice Penetrating Radar

Basal melting of ice shelves is a major source of mass loss from the Antarctic Ice Sheet. In situ measurements of ice shelf basal melt rates are sparse, while the more extensive estimates from satellite altimetry require precise information about firn density and characteristics of near‐surface layers. We describe a novel method for estimating multidecadal basal melt rates using airborne ice penetrating radar data acquired during a 3‐year survey of the Ross Ice Shelf. These data revealed an ice column with distinct upper and lower units whose thicknesses change as ice flows from the grounding line toward the ice front. We interpret the lower unit as continental meteoric ice that has flowed across the grounding line and the upper unit as ice formed from snowfall onto the relatively flat ice shelf. We used the ice thickness difference and strain‐induced thickness change of the lower unit between the survey lines, combined with ice velocities, to derive basal melt rates averaged over one to six decades. Our results are similar to satellite laser altimetry estimates for the period 2003–2009, suggesting that the Ross Ice Shelf melt rates have been fairly stable for several decades. We identify five sites of elevated basal melt rates, in the range 0.5–2 m a−1, near the ice shelf front. These hot spots indicate pathways into the sub‐ice‐shelf ocean cavity for warm seawater, likely a combination of summer‐warmed Antarctic Surface Water and modified Circumpolar Deep Water, and are potential areas of ice shelf weakening if the ocean warms.