Miracle-dz/UniFAR-FTUs huggingface dataset:
A High School English Teacher’s Developing Multicultural Pedagogy

Literature often has been considered a quick and easy way to bring multicultural perspectives into the ELA classroom. Yet for effectual change, significant shifts in pedagogy prove more powerful than surface additions. In this article we focus on how a college of education’s multicultural mission statement intersects with one teacher’s life story.
Alterations in urinary ceramides, sphingoid bases, and their phosphates among patients with kidney disease

Background To avoid an invasive renal biopsy, noninvasive laboratory testing for the differential diagnosis of kidney diseases is a desirable goal. As sphingolipids are demonstrated to be involved in the pathogenesis of various kidney diseases, we investigated the possible usefulness of the simultaneous measurement of urinary sphingolipids for differentiating kidney diseases. Materials and methods Residual urine specimens were collected from patients who had been clinically diagnosed with chronic glomerulonephritis (CGN), diabetic mellitus (DM), systemic lupus erythematosus (SLE), and arterial hypertension (AH). The urinary sphingolipids—CERs C16:0, C18:0, C18:1, C20:0, C22:0, and C24:0; sphingosine [Sph]; dihydrosphingosine; sphingosine 1-phosphate [S1P]; and dihydroS1P [dhS1P]—were measured by liquid chromatography–tandem mass spectrometry. Based on the results, machine learning models were constructed to differentiate the various kidney diseases. Results The urinary S1P was higher in patients with DM than in other participants (P < 0.05), whereas dhS1P was lower in the CGN and AH groups compared with control participants (P < 0.05). Sph and dhSph were higher in patients with CGN, AH, and SLE than in those with control participants (P < 0.05). The urinary CERs were significantly higher in patients with CGN, AH, and SLE than in those with control participants (P < 0.05). As a results of constructing a machine learning model discriminating kidney diseases, the resulting diagnostic accuracy and precision were improved from 94.03% and 66.96% to 96.10% and 78.26% respectively, when the urinary CERs, Sph, dhSph, S1P, dhS1P, and their ratios were added to the models. Conclusion The urinary CERs, sphingoid bases, and their phosphates show alterations among kidney diseases, suggesting their potential involvement in the development of kidney injury.
Acoustic Seafloor Geodesy: Strain measurement across the North Anatolian Fault in the Sea of Marmara

Over 70 % of Earth’s surface is covered by water and inaccessible to standard methods of satellite geodesy. The emerging field of seafloor geodesy aims to provide methods to resolve seafloor deformation with high accuracy. In this thesis data from the first GEOMAR Helmholtz Centre for Ocean Research Kiel acoustic network deployment across the North Anatolian Fault in the Sea of Marmara will be analyzed and discussed. The dextral strike-slip fault system has produced a series of large devastating earthquakes over the last century such as the Izmit (Mw 7.6) earthquake in 1999. However, the Istanbul-Silivri fault segment in the Marmara Sea has not ruptured since 1766 and remains in the interseismic phase. The acoustic seafloor geodetic network is designed to measure strain between transponders on the seafloor. The network consists of six autonomous transponders installed on the seafloor and measures sound velocity, tilt, temperature, pressure and time of flight between the transponders. The sound speed sensors show a long term drift resulting in apparent o sets in baselines. Therefore, an approach is developed which uses constant salinity values for the estimation of sound speed. The resolution of a baseline measurements is defined as the standard deviation over time and increases linearly to ranging distance up to 1 km. Synthetic baselines are estimated in order to compare the di erence of baselines calculated using a water column of constant sound velocity gradient with the measured data including spatial heterogeneity along the ray path. About 65 % of the baseline fluctuations are suggested to originate from spatial heterogeneity along the ray path. Time series of 18 months reveal the absence of deformation estimates beneath the geodetic array within the resolution of 5 mm/a. The slip estimate from far field geodetic land stations as well as the absence of deformation from the acoustic geodetic seafloor data indicate that the North Anatolian Fault is highly locked and accumulating strain. The single baseline located in the nework’s west is showing deformation at a rate of 7 mm/a corresponding to the movement of a potential normal fault imaged by AUV Bathymetry.
Water vapor estimates using simultaneous S and Ka Band radar measurements

Water vapor is a key component in defining Earth’s climate and has a vital role in the Earth’s hydrologic cycle. Despite its significance, the water vapor content in the atmosphere has often been difficult to measure with sufficient spatial and temporal resolution. In this experiment, path-integrated water vapor estimates in the boundary layer were retrieved by using the ground-based, dual-frequency S-band and Ka-band radars (S-Pol-Ka). The water vapor retrieval method consisted of the following procedures: using quality control criteria to minimize contamination from Mie scattering, estimating the atmospheric attenuation of the Ka-band, and using Hans Liebe’s radiative transfer model to formulate a polynomial equation that computed the water vapor content from the Ka-band attenuation. The data used to obtain the water vapor estimates were collected on 11, 14, 16, and 19 January 2005 during the Rain In Cumulus over the Ocean (RICO) Experiment. On these days, simultaneous measurements were recorded by the S-Pol-Ka radar system and dropsondes were released from research aircraft. Weather echoes in the radar domain offered numerous paths for water vapor retrieval. Dropsonde data provided independent measurements of the water vapor content and were used to validate the results from the retrieval method. On the four days analyzed, water vapor estimates compared favorably with dropsonde measurements along some radar paths while others showed considerable scatter. Based on acceptable trends of the estimates, preliminary results suggested that this methodology can successfully retrieve estimates of water vapor content. Additional work is needed to understand the limitations of the technique. This work was done under the auspices of the Significant Opportunities in Atmospheric Research and Science (SOARS) program of the University Corporation for Atmospheric Research, with funding from the National Science Foundation, the U.S. Department of Energy, the National Oceanic and Atmospheric Administration, and Goddard Space Flight Center, NASA. SOARS 2005, Keith E. Goodman Jr., 1
A Joint Model Based on Post-Treatment Longitudinal Prognostic Nutritional Index to Predict Survival in Nasopharyngeal Carcinoma

Simple Summary A low prognostic nutritional index (PNI) is linked to poor survival in patients with nasopharyngeal carcinoma (NPC), but existing research primarily examines the pre- or post-treatment PNI at single timepoints. Our study employs joint modeling to investigate the relationship between longitudinal PNI data from routine visits and overall survival. This approach addresses biases inherent in traditional time-varying covariate Cox models. Our findings indicate that decreased PNI levels during follow-up correlate with a reduced overall survival. Specifically, a post-treatment PNI below 38.1 markedly increases the risk of 90-day mortality. This emphasizes the importance of routine longitudinal PNI data in predicting survival outcomes for patients with NPC, offering a comprehensive perspective compared to isolated timepoint measurements. Abstract Background: a low PNI in patients with NPC is linked to poor survival, but prior studies have focused on single-timepoint measurements. Our study aims to employ joint modeling to analyze longitudinal PNI data from each routine visit, exploring its relationship with overall survival. Methods: In this retrospective study using data from the Chang Gung Research Database (2007–2019), we enrolled patients with NPC undergoing curative treatment. We analyzed the correlation between patient characteristics, including the PNI, and overall survival. A joint model combining a longitudinal sub-model with a time-to-event sub-model was used to further evaluate the prognostic value of longitudinal PNI. Results: A total of 2332 patient were enrolled for the analysis. Separate survival analyses showed that longitudinal PNI was an independent indicator of a reduced mortality risk (adjusted HR 0.813; 95% CI, 0.805 to 0.821). Joint modeling confirmed longitudinal PNI as a consistent predictor of survival (HR 0.864; 95% CI, 0.850 to 0.879). An ROC analysis revealed that a PNI below 38.1 significantly increased the risk of 90-day mortality, with 90.0% sensitivity and 89.6% specificity. Conclusions: Longitudinal PNI data independently predicted the overall survival in patients with NPC, significantly forecasting 90-day survival outcomes. We recommend routine PNI assessments during each clinic visit for these patients.
Exploring the Effect of V2O5 and Nb2O5 Content on the Structural, Thermal, and Electrical Characteristics of Sodium Phosphate Glasses and Glass–Ceramics

Na-V-P-Nb-based materials have gained substantial recognition as cathode materials in high-rate sodium-ion batteries due to their unique properties and compositions, comprising both alkali and transition metal ions, which allow them to exhibit a mixed ionic–polaronic conduction mechanism. In this study, the impact of introducing two transition metal oxides, V2O5 and Nb2O5, on the thermal, (micro)structural, and electrical properties of the 35Na2O-25V2O5-(40 − x)P2O5 − xNb2O5 system is examined. The starting glass shows the highest values of DC conductivity, σDC, reaching 1.45 × 10−8 Ω−1 cm−1 at 303 K, along with a glass transition temperature, Tg, of 371 °C. The incorporation of Nb2O5 influences both σDC and Tg, resulting in non-linear trends, with the lowest values observed for the glass with x = 20 mol%. Electron paramagnetic resonance measurements and vibrational spectroscopy results suggest that the observed non-monotonic trend in σDC arises from a diminishing contribution of polaronic conductivity due to the decrease in the relative number of V4+ ions and the introduction of Nb2O5, which disrupts the predominantly mixed vanadate–phosphate network within the starting glasses, consequently impeding polaronic transport. The mechanism of electrical transport is investigated using the model-free Summerfield scaling procedure, revealing the presence of mixed ionic–polaronic conductivity in glasses where x < 10 mol%, whereas for x ≥ 10 mol%, the ionic conductivity mechanism becomes prominent. To assess the impact of the V2O5 content on the electrical transport mechanism, a comparative analysis of two analogue series with varying V2O5 content (10 and 25 mol%) is conducted to evaluate the extent of its polaronic contribution.
Uso de los Hongos, Podaxis pistillaris, Inonotus rickii y Phellorinia herculeana (BASIDIOMYCETES), por la EtniaA Wayuu en la Alta Guajira Colombiana

Este trabajo describe aspectos relativos a la biologia, el uso y las practicas culturales en la comunidad aborigen Wayuu alrededor de los hongos Gasteromycetes de la Alta Guajira en el Caribe colombiano. Se realizaron entrevistas semi-estructuradas a miembros de la comunidad Wayuu y se efectuaron recorridos en campo para colecta y registro de cuerpos fructiferos. Se describieron los rasgos macroscopicos y microscopicos de tres especies identificados como Podaxis pistillaris, Inonotus rickii y Phellorinia herculeana. Las esporas de estas especies son utilizadas como cosmetico entre las mujeres de la comunidad y como protector de la piel en rituales religiosos y danzas. El tratamiento de uso de las esporas y la inclusion de otros elementos, tales como cebo de oveja y piedras metamorficas, con variacion en la ubicacion geografica de las comunidades.
Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models

Current remote sensing methods can identify aerosol types within an atmospheric column, presenting an opportunity to incrementally bridge the gap between remote sensing and models. Here a new algorithm was designed for Creating Aerosol Types from CHemistry (CATCH). CATCH‐derived aerosol types—dusty mix, maritime, urban, smoke, and fresh smoke—are based on first‐generation airborne High Spectral Resolution Lidar (HSRL‐1) retrievals during the Ship‐Aircraft Bio‐Optical Research (SABOR) campaign, July/August 2014. CATCH is designed to derive aerosol types from model output of chemical composition. CATCH‐derived aerosol types are determined by multivariate clustering of model‐calculated variables that have been trained using retrievals of aerosol types from HSRL‐1. CATCH‐derived aerosol types (with the exception of smoke) compare well with HSRL‐1 retrievals during SABOR with an average difference in aerosol optical depth (AOD) <0.03. Data analysis shows that episodic free tropospheric transport of smoke is underpredicted by the Goddard Earth Observing System‐ with Chemistry (GEOS‐Chem) model. Spatial distributions of CATCH‐derived aerosol types for the North American model domain during July/August 2014 show that aerosol type‐specific AOD values occurred over representative locations: urban over areas with large population, maritime over oceans, smoke, and fresh smoke over typical biomass burning regions. This study demonstrates that model‐generated information on aerosol chemical composition can be translated into aerosol types analogous to those retrieved from remote sensing methods. In the future, spaceborne HSRL‐1 and CATCH can be used to gain insight into chemical composition of aerosol types, reducing uncertainties in estimates of aerosol radiative forcing.
Comprehensive analysis based on the disulfidptosis-related genes identifies hub genes and immune infiltration for pancreatic adenocarcinoma

Abstract Pancreatic adenocarcinoma (PAAD) is a prevalent and aggressive malignancy in the digestive tract, requiring accurate prediction and effective treatment strategies. Recently, the discovery of disulfidptosis, a novel form of programmed cell death characterized by abnormal disulfide accumulation, has sparked interest in its role in PAAD. In this study, we aimed to investigate the involvement of disulfidptosis-related genes (DRGs) in PAAD. Using publicly available databases, we conducted a comprehensive analysis exploring the complex relationships between DRGs and important aspects of PAAD, including gene expression, immune response, mutation, drug sensitivity, and functional enrichment. Notably, we observed significant heterogeneity among different disulfidptosis subclusters and identified specific differentially expressed genes in PAAD. Through machine learning techniques, we identified SLC7A11, S100A4, DIAPH3, PRDX1, and SLC7A7 as the most relevant hub genes. We further validated their significance in PAAD by considering their expression patterns, prognostic value, diagnostic potential, diagnostic model, and immune infiltration. This study presents exciting opportunities and challenges in unraveling the underlying mechanisms of PAAD prognosis. It also establishes a foundation for personalized cancer care and the development of innovative immunotherapeutic strategies. By shedding light on the role of DRGs, particularly hub genes, we enhance our understanding and management of PAAD.
Natural animal textile fibres: structure, characteristics and identification

Abstract: The use of natural animal fibres in textile materials began before recorded history. Animal fibres of the most significant economic value in the textile market today are those made from wool, mohair, Angora rabbit, cashmere, camel, alpaca and cultivated silk. Natural fibres sourced from the pelage of animals exhibit a variety of morphological features which may be used to identify the particular family the hair originated from, which contrasts to the processes involved in the identification of silk. This chapter details the growth, structure and properties of animal fibres which affords each animal fibre type different and unique properties enabling industry to manufacture a plethora of textiles destined for a variety of end-uses.
Comparative Transcriptome Analysis Explores the Mechanism of Angiosperm and Gymnosperm Deadwood Degradation by Fomes fomentarius

In forest ecosystems, most of the soil organic matter is derived from trees, as deadwood lignocellulose and wood-decaying basidiomycetes are the most important decomposers of lignin and cellulose. Fomes fomentarius is one of the most common white-rot fungi colonizing angiosperm trees and is often found in birch deadwood but seldom in pine deadwood. To reveal the mechanism through which F. fomentarius selects angiosperms as its preferred host trees, birch and pinewood sticks were selected for culturing for two months. The weight loss, cellulose and lignin degradation rates, activities of degrading enzymes, and transcriptome analyses of two degradation models were compared and analyzed. The results showed that F. fomentarius-degraded birchwood with higher efficiency than pinewood. A GO enrichment analysis found that more upregulated genes related to the top 30 terms showed a molecular function related to degradation, and most genes belonged to the CAZymes family in F. fomentarius-degraded birchwood. However, pinewood degradation did not show these phenomena. A KEGG pathway analysis also indicated that, for the same pathway, more upregulated genes were involved in birchwood degradation caused by F. fomentarius than in pinewood degradation.
Effect of Denosumab on Bone Health, Vascular Calcification, and Health-Related Quality of Life in Hemodialysis Patients with Osteoporosis: A Prospective Observational Study

Background: Osteoporosis is common in hemodialysis (HD) patients, contributing to cardiovascular risks. Limited research exists on denosumab’s efficacy in this group. Our study explores denosumab’s effects on bone turnover markers (BTMs) and vascular calcification in chronic kidney disease–mineral bone disorder (CKD-MBD) patients. Methods: In a prospective single-center study, we investigated the effects of denosumab over 2 years on 30 HD patients from a cohort of 185. Annual assessments of bone mineral density (BMD), vascular calcification, and health-related quality of life (HRQL) were conducted and compared with an untreated group. Mineral and bone parameters were analyzed at specific intervals in the treatment group. Results: Denosumab notably raised femoral BMD in the initial year. Most bone turnover markers (BTMs) decreased, except for osteocalcin. Changes in T50 correlated with BTMs. Pre-denosumab supplementation of calcium and vitamin D helped manage mineral imbalances. Post denosumab, parathyroid hormone (PTH) levels increased initially, stabilizing after 3 months. No significant changes occurred in vascular calcification or HRQL. Conclusions: Denosumab exhibited varying effects on BMD improvement, with a stronger impact in the first year that diminished in the second year. Early PTH monitoring was crucial, and extending the administrative period may enhance BMD outcomes compared to the general population.
HEALTHPIX: THE VIRTUAL ASSISTANT

To start a good life, healthcare is more important, but it very difficult to obtain a consultation with a doctor in case of health issues. The proposed idea is to create a care Chabot system using artificial intelligence that can diagnose the disease and provide basic details about the disease before consulting a doctor. Detecting the calories of eating food and suggesting the exercises and food items, a smartwatch which is cheap and useful for people. The Chabot system provides text/voice assistance to communicate friendly with the bot. This bot will provide which type of disease you suffer from based on your given symptoms and provide doctor details based on the disease you suffer. The Chabot will clarify the user's disease with a series of questions and symptoms confirmation will be done. The disease will be categorized as a major and minor disease. If major disease the bot will suggest with doctor details and analgesics for further treatments. As an advanced system that suggests healthy food items by detecting the calories of the food in real-time and also suggests the needed workout for each and every individual. It will also incorporate a smart watch to detect the heartbeat rate, SPO2, Stress Level, Water level and keep track of their health. Our technology includes a multilingual Chabot that can handle different languages. By determining the user’s language from the input, our Chabot can handle many languages, switch between them automatically, and respond in the user’s native tongue. Customers may easily communicate with your Chabot in their own language. This application is going to be very helpful to the users as they can easily get medical assistance without paying; Also they are getting all this just at their home using their Smartphone.
Population [of Ethiopia].

Population growth in Ethiopia is attributed to declining mortality and high fertility. Poverty war and famine have contributed to economic decline and overpopulation. These conditions are associated with low levels of education and health weak infrastructure and low agricultural and industrial production. Ethiopia has the second largest population in Africa after Nigeria. Population is estimated at 50 million in 1990. Rural highland densities are highest in the ensete cultivation areas of southern Ethiopia. Pastoral nomads populate the less dense southern lowlands. 82% of total population in 1984 lived in highlands. Population has been shifting to the agricultural lowlands and urban areas since the 1960s. Urbanization entails numerous small size settlements and a large population concentration in Addis Ababa. About 93% of the population speaks one of 14 main languages. Ethiopias diversity is represented by the 70-80 languages spoken. Over 66% of the population speaks either Orominya Amharic or Tigrinya. Distribution of the population by religion educational level or ethnic group varies among the awrajas and regions. Religious minorities cluster in urban areas. Ethiopia was one of the first African countries with a writing system but only 32% of males and 22% of females attended primary schools during 1986-88. 63% of the total population was literate in 1985. In 1984 46.5% of the total population was aged under 15 years. Marriage is early and universal. The singulate mean age of marriage among rural females was 17.5 years in 1984. Divorce and widowhood are common. Female life expectancy at birth in 1971 is estimated to have been 45.2 years. About 20% of female deaths occur during the childbearing years. Fertility increased to 6.62 children per woman in 1984. Contraceptive use is low. The most popular modern method is the pill. There are social barriers to contraceptive use and lower fertility.