Miracle-dz/UniFAR-FTUs huggingface dataset:
Tumor-Associated Macrophages and Mast Cells Positive to Tryptase Are Correlated with Angiogenesis in Surgically-Treated Gastric Cancer Patients

Mast cells and macrophages can play a role in tumor angiogenesis by stimulating microvascular density (MVD). The density of mast cells positive to tryptase (MCDPT), tumor-associated macrophages (TAMs), and MVD were evaluated in a series of 86 gastric cancer (GC) tissue samples from patients who had undergone potential curative surgery. MCDPT, TAMs, and MVD were assessed in tumor tissue (TT) and in adjacent normal tissue (ANT) by immunohistochemistry and image analysis. Each of the above parameters was correlated with the others and, in particular for TT, with important clinico-pathological features. In TT, a significant correlation between MCDPT, TAMs, and MVD was found by Pearson t-test analysis (p ranged from 0.01 to 0.02). No correlation to the clinico-pathological features was found. A significant difference in terms of mean MCDPT, TAMs, and MVD between TT and ANT was found (p ranged from 0.001 to 0.002). Obtained data suggest MCDPT, TAMs, and MVD increased from ANT to TT. Interestingly, MCDPT and TAMs are linked in the tumor microenvironment and they play a role in GC angiogenesis in a synergistic manner. The assessment of the combination of MCDPT and TAMs could represent a surrogate marker of angiogenesis and could be evaluated as a target of novel anti-angiogenic therapies in GC patients.
A Lookup-Table-Based Approach to Estimating Surface Solar Irradiance from Geostationary and Polar-Orbiting Satellite Data

Incoming surface solar irradiance (SSI) is essential for calculating Earth’s surface radiation budget and is a key parameter for terrestrial ecological modeling and climate change research. Remote sensing images from geostationary and polar-orbiting satellites provide an opportunity for SSI estimation through directly retrieving atmospheric and land-surface parameters. This paper presents a new scheme for estimating SSI from the visible and infrared channels of geostationary meteorological and polar-orbiting satellite data. Aerosol optical thickness and cloud microphysical parameters were retrieved from Geostationary Operational Environmental Satellite (GOES) system images by interpolating lookup tables of clear and cloudy skies, respectively. SSI was estimated using pre-calculated offline lookup tables with different atmospheric input data of clear and cloudy skies. The lookup tables were created via the comprehensive radiative transfer model, Santa Barbara Discrete Ordinate Radiative Transfer (SBDART), to balance computational efficiency and accuracy. The atmospheric attenuation effects considered in our approach were water vapor absorption and aerosol extinction for clear skies, while cloud parameters were the only atmospheric input for cloudy-sky SSI estimation. The approach was validated using one-year pyranometer measurements from seven stations in the SURFRAD (SURFace RADiation budget network). The results of the comparison for 2012 showed that the estimated SSI agreed with ground measurements with correlation coefficients of 0.94, 0.69, and 0.89 with a bias of 26.4 W/m2, −5.9 W/m2, and 14.9 W/m2 for clear-sky, cloudy-sky, and all-sky conditions, respectively. The overall root mean square error (RMSE) of instantaneous SSI was 80.0 W/m2 (16.8%), 127.6 W/m2 (55.1%), and 99.5 W/m2 (25.5%) for clear-sky, cloudy-sky (overcast sky and partly cloudy sky), and all-sky (clear-sky and cloudy-sky) conditions, respectively. A comparison with other state-of-the-art studies suggests that our proposed method can successfully estimate SSI with a maximum improvement of an RMSE of 24 W/m2. The clear-sky SSI retrieval was sensitive to aerosol optical thickness, which was largely dependent on the diurnal surface reflectance accuracy. Uncertainty in the pre-defined horizontal visibility for ‘clearest sky’ will eventually lead to considerable SSI retrieval error. Compared to cloud effective radius, the retrieval error of cloud optical thickness was a primary factor that determined the SSI estimation accuracy for cloudy skies. Our proposed method can be used to estimate SSI for clear and one-layer cloud sky, but is not suitable for multi-layer clouds overlap conditions as a lower-level cloud cannot be detected by the optical sensor when a higher-level cloud has a higher optical thickness.
Observations of coupling between surface wind stress and sea surface temperature in the Eastern Tropical Pacific

Satellite measurements of surface wind stress from the QuikSCAT scatterometer and sea surface temperature (SST) from the Tropical Rainfall Measuring Mission Microwave Imager are analyzed for the three-month period 21 July‐20 October 1999 to investigate ocean‐atmosphere coupling in the eastern tropical Pacific. Oceanic tropical instability waves (TIWs) with periods of 20‐40 days and wavelengths of 1000‐2000 km perturb the SST fronts that bracket both sides of the equatorial cold tongue, which is centered near 1 8S to the east of 1308W. These perturbations are characterized by cusp-shaped features that propagate systematically westward on both sides of the equator. The space‐time structures of these SST perturbations are reproduced with remarkable detail in the surface wind stress field. The wind stress divergence is shown to be linearly related to the downwind component of the SST gradient with a response on the south side of the cold tongue that is about twice that on the north side. The wind stress curl is linearly related to the crosswind component of the SST gradient with a response that is approximately half that of the wind stress divergence response to the downwind SST gradient. The perturbed SST and wind stress fields propagate synchronously westward with the TIWs. This close coupling between SST and wind stress supports the Wallace et al. hypothesis that surface winds vary in response to SST modification of atmospheric boundary layer stability.
Crystal structure of the inclusion complex of cholesterol in β-cyclodextrin and molecular dynamics studies

The role of beta-cyclodextrin (β-CD) in cholesterol removal primarily from mammalian cells and secondly from dairy products has been studied thoroughly in recent years. Although the physicochemical characterization of the inclusion compound of cholesterol in β-CD has been achieved by various methods, no crystal structure has been determined so far. We report here the crystal structure of the inclusion compound of cholesterol in β-CD. The inclusion complex crystallizes in the triclinic space group P1 forming head-to-head dimers which are stacked along the c-axis. One well-defined cholesterol molecule ‘axially’ encapsulated inside the β-CD dimer and 22 water molecules that stabilize the complexes in the crystalline state comprise the asymmetric unit of the structure. The dimers are arranged in an intermediate (IM) channel packing mode in the crystal. Moreover, MD simulations, at 300 and 340 K, based on the crystallographically determined coordinates of the complex show that the formed cholesterol/β-CD inclusion compound remains very stable in aqueous solution at both temperatures.
Quality, Distance and Trade: A Strategic Approach

This paper contributes to the literature on distance and quality by identifying a firm-based force contributing to explain the observed increase of the quality of shipped goods with the distance of their destination market. This force originates from the influence of distance on firms' strategic behavior when the quality level of goods is a choice variable for them, and complements the ones already proposed in the literature. Our approach differs from the extant literature because it does not rely on technology or preference/income differentials to identify the determinants and drivers of trade flows. Moreover, it allows to clearly disentangle between the price setting and quality choice of firms. We find that distance has an unambiguously positive effect on the average quality of traded goods. Our results suit the empirical evidence on distance and quality and contribute to the analysis of the determinants of firms' trade performance.
Analyzing Speech Quality Perception Using Electroencephalography

Common speech quality evaluation methods rely on self-reported opinions after perceiving test stimuli. Whereas these methods-when carefully applied-provide valid and reliable quality indices, they provide little insight into the processes underlying perception and judgment. In this paper, we analyze the performance of electroencephalography (EEG) for indicating different types of degradations in speech stimuli. We show that a certain EEG technique, event-related-potentials (ERP) analysis, is a useful and valid tool in quality research. Three experiments are reported which show that quality degradations can be monitored in conscious and presumably non-conscious stages of processing. Potential and limitations of the approach are discussed and lines of future research are drawn.
Dengue in the Context of the Integrated Management of Childhood Illness

TheWHO/UNICEF Integrated Management of Childhood Illness (IMCI) is widely used for the management of common childhood conditions, including cough and difficulty breathing, diarrhoea and dehydration, and fever [1]. Dengue fever is not included in the generic IMCI, but in view of its public health importance, various empiric dengue fever algorithms have been incorporated into national IMCI adaptations [2]. These algorithms vary in terms of assessment criteria, dengue illness categories, and management and have, with few exceptions [3], not been validated. Should a standard, evidence-based and validated dengue fever algorithm be developed for integration into IMCI in dengue-endemic areas?
“How I Wish This Thing Was Initiated 100 Years Ago!” Willingness to Take Daily Oral Pre-Exposure Prophylaxis among Men Who Have Sex with Men in Kenya

Background The MSM population in Kenya contributes to 15% of HIV incidence. This calls for innovative HIV prevention interventions. Pre-exposure prophylaxis (PrEP) has been efficacious in preventing HIV among MSM in trials. There is limited data on the willingness to take daily oral PrEP in sub-Sahara Africa. PrEP has not been approved for routine use in most countries globally. This study aimed to document the willingness to take PrEP and barriers to uptake and adherence to PrEP in Kenya. The findings will inform the design of a PrEP delivery program as part of the routine HIV combination prevention. Methods Eighty MSM were recruited in 2 Counties in December 2013. Quantitative data on sexual behaviour and willingness to take PrEP were collected using semi-structured interviews and analysed using SPSS. Qualitative data on knowledge of PrEP, motivators and barriers to uptake and adherence to PrEP were collected using in-depth interviews and FGDs and analysed using Nvivo. Analysis of data in willingness to take PrEP was conducted on the HIV negative participants (n = 55). Results 83% of MSM were willing to take daily oral HIV PrEP. Willingness to take PrEP was higher among the bi-sexual and younger men. Motivators for taking PrEP were the need to stay HIV negative and to protect their partners. History of poor medication adherence, fear of side effects and HIV stigma were identified as potential barriers to adherence. Participants were willing to buy PrEP at a subsidized price. Conclusions There is willingness to take PrEP among MSM in Kenya and there is need to invest in targeted education and messaging on PrEP to enhance adherence, proper use and reduce stigma in the general population and among policy makers.
Electrospun nanofibre materials to filter air pollutants – A review

This review presents an overview of electrospun nanomembranes produced from various polymers to filter air pollutants. Air pollutants can be categorised as particulate matter and gaseous pollutants. Both differ from each other in terms of size and chemical composition. Hence, the filter characterisation techniques and capture mechanism also vary. Particulate matter can be effectively captured in nanomembranes, in relation to microfibres, due to its small fibre diameter, small pore size and high specific surface area. Recently, electrospun nanomembranes have been used to filter gaseous pollutants owing to their potential of active surface modification. Different additives which functionalised the nanofibre surface for gaseous pollutant adsorption are also highlighted in this review. The characteristic features of nanofibres influencing the filtration efficiency have been discussed. Furthermore, various research challenges and future trends of electrospun nanomembranes in air filtration have been discussed.
Localization of nectin‐2α at the boundary between the adjacent somata of the clustered cholinergic neurons and its regulatory role in the subcellular localization of the voltage‐gated A‐type K+ channel Kv4.2 in the medial habenula

The medial habenula (MHb), implicated in stress, depression, memory, and nicotine withdrawal syndromes, receives septal inputs and sends efferents to the interpeduncular nucleus. We previously showed that the immunoglobulin‐like cell adhesion molecules (CAMs) nectin‐2α and nectin‐2δ are expressed in astrocytes in the brain, but their expression in neurons remains unknown. We showed here by immunofluorescence microscopy that nectin‐2α, but not nectin‐2δ, was prominently expressed in the cholinergic neurons in the developing and adult MHbs and localized at the boundary between the adjacent somata of the clustered cholinergic neurons where the voltage‐gated A‐type K+ channel Kv4.2 was localized. Analysis by immunoelectron microscopy on this boundary revealed that Kv4.2 was localized at the membrane specializations (MSs) with plasma membrane darkening in an asymmetrical manner, whereas nectin‐2α was localized on the apposed plasma membranes mostly at the outside of these MSs, but occasionally localized at their edges and insides. Nectin‐2α at this boundary was not colocalized with the nectin‐2α‐binding protein afadin, other CAMs, or their interacting peripheral membrane proteins, suggesting that nectin‐2α forms a cell adhesion apparatus different from the Kv4.2‐associated MSs. Genetic ablation of nectin‐2 delayed the localization of Kv4.2 at the boundary between the adjacent somata of the clustered cholinergic neurons in the developing MHb. These results revealed the unique localization of nectin‐2α and its regulatory role in the localization of Kv4.2 at the MSs in the MHb.
Effects of physical exercise in older adults with reduced physical capacity: meta-analysis of resistance exercise and multimodal exercise

Older adults with reduced physical capacity are at greater risk of progression to care dependency. Progressive resistance strength exercise and multimodal exercise have been studied to restore reduced physical capacity. To summarize the best evidence of the two exercise regimes, this meta-analysis study appraised randomized-controlled trials from published systematic reviews. Medline, Embase, and the Cochrane Database of Systematic Review and Cochrane Central Register of Controlled Clinical Trials were searched for relevant systematic reviews. Two reviewers independently screened the relevant systematic reviews to identify eligible trials, assessed trial methodological quality, and extracted data. RevMan 5.3 software was used to analyze data on muscle strength, physical functioning, activities of daily living, and falls. Twenty-three eligible trials were identified from 22 systematic reviews. The mean age of the trial participants was 75 years or older. Almost all multimodal exercise trials included muscle strengthening exercise and balance exercise. Progressive resistance exercise is effective in improving muscle strength of the lower extremity and static standing balance. Multimodal exercise is effective in improving muscle strength of the lower extremity, dynamic standing balance, gait speed, and chair stand. In addition, multimodal exercise is effective in reducing falls. Neither type of exercise was effective in improving activities of daily living. For older adults with reduced physical capacity, multimodal exercise appears to have a broad effect on improving muscle strength, balance, and physical functioning of the lower extremity, and reducing falls relative to progressive resistance exercise alone.
Evaluation of Wall Paint Emissivity during Infrared Thermography Temperature Measurement

In cases that the temperature of large surfaces needs to be measured, because measuring by conventional temperature equipment is time consuming, thermography is a fast and simple alternative solution. The most important feature that affects the amount of energy radiating from a surface, under stationary thermal conditions (fixed temperature), is its emissivity. In the present study emissivity of certain commercial wall paints was determined experimentally by adjusting its value in an infrared thermal imager, until its readings coincided with a known temperature measured by PT-100 sensors. It was shown that the emissivity is dependent on the color, current temperature and type/texture of the material.
Regret Transfer and Parameter Optimization

Regret matching is a widely-used algorithm for learning how to act. We begin by proving that regrets on actions in one setting (game) can be transferred to warm start the regrets for solving a different setting with same structure but different payoffs that can be written as a function of parameters. We prove how this can be done by carefully discounting the prior regrets. This provides, to our knowledge, the first principled warm-starting method for no-regret learning. It also extends to warm-starting the widely-adopted counterfactual regret minimization (CFR) algorithm for large incomplete-information games; we show this experimentally as well. We then study optimizing a parameter vector for a player in a two-player zero-sum game (e.g., optimizing bet sizes to use in poker). We propose a custom gradient descent algorithm that provably finds a locally optimal parameter vector while leveraging our warm-start theory to significantly save regret-matching iterations at each step. It optimizes the parameter vector while simultaneously finding an equilibrium. We present experiments in no-limit Leduc Hold'em and no-limit Texas Hold'em to optimize bet sizing. This amounts to the first action abstraction algorithm (algorithm for selecting a small number of discrete actions to use from a continuum of actions---a key preprocessing step for solving large games using current equilibrium-finding algorithms) with convergence guarantees for extensive-form games.
Investigating the Relatedness of Enteroinvasive Escherichia coli to Other E. coli and Shigella Isolates by Using Comparative Genomics

ABSTRACT Enteroinvasive Escherichia coli (EIEC) is a unique pathovar that has a pathogenic mechanism nearly indistinguishable from that of Shigella species. In contrast to isolates of the four Shigella species, which are widespread and can be frequent causes of human illness, EIEC causes far fewer reported illnesses each year. In this study, we analyzed the genome sequences of 20 EIEC isolates, including 14 first described in this study. Phylogenomic analysis of the EIEC genomes demonstrated that 17 of the isolates are present in three distinct lineages that contained only EIEC genomes, compared to reference genomes from each of the E. coli pathovars and Shigella species. Comparative genomic analysis identified genes that were unique to each of the three identified EIEC lineages. While many of the EIEC lineage-specific genes have unknown functions, those with predicted functions included a colicin and putative proteins involved in transcriptional regulation or carbohydrate metabolism. In silico detection of the Shigella virulence plasmid (pINV), which is essential for the invasion of host cells, demonstrated that a form of pINV was present in nearly all EIEC genomes, but the Mxi-Spa-Ipa region of the plasmid that encodes the invasion-associated proteins was absent from several of the EIEC isolates. The comparative genomic findings in this study support the hypothesis that multiple EIEC lineages have evolved independently from multiple distinct lineages of E. coli via the acquisition of the Shigella virulence plasmid and, in some cases, the Shigella pathogenicity islands.
Behavior of Thermoset Shape Memory Polymer-Based Syntactic Foam Sealant Trained by Hybrid Two-Stage Programming

AbstractRecently, a shape memory polymer-based self-healing syntactic foam was proposed and tested as a sealant for expansion joints. The key for success is to train the foam by using a two-dimensional (2D) stress condition (compression in the horizontal or traffic direction and tension in the vertical direction) at a temperature above the glass transition temperature (Tg). However, for practical applications, programming a full-size slab of sealant with a 2D stress condition and under temperature control is not a trivial task. This study demonstrated that the programming with a one-stage 2D stress condition can be replaced by a sequential two-stage one-dimensional (1D) stress condition. To further simplify the programming process, 1D tension programming was conducted at a temperature above the Tg, followed by 1D compression programming at a temperature below the Tg (cold compression). The test results show that the hybrid programming leads to similar shape memory behavior as long as the prestrain level i.
INESC-ID at ASSIN : measuring semantic similarity and recognizing textual entailment

In this work we present INESC-ID@ASSIN, the system from INESC-ID that competed in the 2016 joint evaluation effort entitled “Avaliação de Similaridade Semântica e Inferência Textual” (ASSIN) in the tasks of semantic similarity and textual entailment recognition. INESC-ID@ASSIN addresses the problem of detecting sentence similarity as a regression task, and it addresses textual entailment as a classification task. Although INESC-ID@ASSIN relies mainly on simple lexical features for detecting paraphrases and recognizing textual entailment, promising results were achieved.
Precision of Measurements from Computed Tomography (CT), Cone Beam Computed Tomography (CBCT) and their Reformatted Images in Pre-Operative Implant Assessment

Background: Preclude the accuracy of dimensional, and linear measurements yielded from CBCT images, panoramic images reformatted from spiral CT, and panoramic images reformatted from CBCT in comparison to the measurements obtained from the cross-sectional CT. Methods: Twenty patients attending the Oral Maxillofacial Surgery Department, for placement of dental implants in both jaws (10 subjects required mandibular and the other ten required 10 maxillary). Results: A significant difference between the CT reformatted panoramic and GS results. Meanwhile, a non-significant difference was detected between both CBCT images in relation to the gold standard.
Identifying and Analyzing the Privacy of Apps for Kids

One aspect of privacy that has not been well explored is privacy for children. We present the design and evaluation of a machine learning model for predicting whether a mobile app is designed for children, which is an important step in helping to enforce the Children's Online Privacy Protection Act (COPPA). We evaluated our model on 1,728 apps from Google Play and achieved 95% accuracy. We also applied our model on a set of nearly 1 million free apps from Google Play, and identified almost 68,000 apps for kids. We then conducted a privacy analysis of the usage of third-party libraries for each app, which can help us understand some of the app's privacy-related behaviors. We believe this list can serve as a good start point for further fine-grained privacy analysis on mobile apps for children.