Miracle-dz/UniFAR-FTUs huggingface dataset:
Sleep quality and associated factors of patients with mild cognitive impairment at King Chulalongkorn Memorial Hospital

Background: Thailand has shifted into aging society. Sleep disturbance is a common problem in the elderly which affects emotion and cognitive level. Awareness of sleep problems can help implementing in the elderly care and preventing dementia in the future. Objective: To study sleep quality and determine factors associated with sleep quality among patients with mild cognitive impairment (MCI). Methods: The cross-sectional descriptive study was conducted in MCI patients, aged 50 years and above, from psychiatric outpatient clinic and cognitive fitness center. The data were collected by questionnaires including demographic data and sleep environment questionnaires; Pittsburgh Sleep Quality Index (PSQI); Sleep Hygiene Index (SHI); STOP-Bang questionnaire; Thai Mental State Examination (TMSE); Montreal Cognitive Assessment (MoCA); Thai Geriatric Depression Scale (TGDS) and Neuropsychiatric Inventory Questionnaire (NPI-Q). The sleep quality was presented by frequency and percentage. The associated factors were analyzed by Chi-square test, Fisher’s exact test, and Pearson’s correlation coefficient. The predictors of poor sleep quality were analyzed by multiple logistic regression analysis. Results: Of the 100 subjects, 65 were female with the mean age of 71.3  7.5 years old: 64% of them had poor sleep quality. The associated factors of sleep quality were having history of psychiatric disorders, use of sedating psychotropic drugs, low to moderate sleep hygiene and anxiety domain of neuropsychiatric symptoms. TGDS and STOP-Bang score were correlated with PSQI score (r = 0.215 and 0.230 respectively). The predictors of poor sleep quality were the use of sedating psychotropic drugs (P < 0.01), low to moderate sleep hygiene (P < 0.05) and anxiety domain of neuropsychiatric symptoms (P < 0.05). Conclusion: The prevalence of poor sleep quality in MCI patient was 64%. The associated factors and predicted factors of poor sleep quality were the use of sedating psychotropic drugs, low to moderate sleep hygiene and anxiety domain of neuropsychiatric symptoms. Therefore, sleep quality should be screened in patients with MCI due to the high prevalence.
Immediate UAV-enabled Infrastructure Reconnaissance following Recent Natural Disasters: Case Histories from Greece

Unmanned Aerial Vehicles (UAVs), or drones, represent a technological and aviation frontier that is expected to have a significant impact in numerous scientific fields. Four case histories in 2015 and 2016 of the use of UAVs equipped with high definition optical cameras for infrastructure reconnaissance following natural disasters in Greece are presented: a dam collapse due to underseepage and the consequent flooding downstream near Elassona town, a bridge failure due to bridge pier scouring near the town of Kalampaka, as well as a damaged port pier and landslides caused by the November 17th 2015 Mw 6.5 earthquake in Lefkada island. Emphasis is given on the ability of the UAVs to collect field performance data essentially immediately. In all four cases presented, data was collected remotely within 48 hrs after the event. Field data acquisition was in the order of minutes to few hours. The optical data collected was used for qualitative, as well as quantitative, assessment of field performance. For quantitative assessments, structure-from-motion was used to create 3D models. The quantity and quality of data collected is found to be significantly higher than any other available mapping technologies and, in many cases, provides unique insights on the failure mechanisms involved.
Experimental and Numerical Studies of First Contact Miscible Injection in a Quarter Five Spot Pattern

This study investigates the impact of mobility ratio and simple heterogeneities on the performance of first contact miscible gas flooding using both experimental and numerical models. It also examines the validity of using a commercial numerical simulator to model miscible injection for use in further studies. The study focuses on a quarter five spot pattern, using two 2D horizontal analogues of flow in porous media. Numerical simulations are conducted using the Eclipse-100 simulator, whilst physical experiments are carried out using a Hele-Shaw cell (40×40cm) designed and constructed for this study. The impact of a square low permeability inclusion (20×20cm) on flow was investigated by varying its permeability, location and orientation. The setup of the numerical model for a quarter five spot pattern proved to be challenging due to the extensive grid orientation effect and difficulty in triggering the formation of fine viscous fingers. This was partially resolved by using a nine-point pressure difference scheme and randomly generated permeability values across the whole grid, with a ±30% range around the calculated permeability. The general conclusion for the study is that the Eclipse-100 numerical simulator is able to model the miscible injection in a quarter five spot pattern in a 2D system without gravity within an uncertainty range at lower mobility ratios (M=2 to M=10). Although at higher mobility ratios (M=20 to M=100) some new solutions are needed to reduce the grid orientation effect, which leads to overestimations of the areal sweep results. Nevertheless at M=20, the introduction of heterogeneities reduces the discrepancy between experimental and numerical results, and brings it back within uncertainty limits in some of the cases. This is mostly achieved because those certain heterogeneities compensate for the grid orientation effect by directing the flow around the heterogeneity box. This suggests that if an area of heterogeneity is small or it is close to a producer, it will not counteract for the grid orientation effect, because flow will not be spread enough. For the breakthrough times a good agreement between numerical and experimental results was observed at all mobility ratios. This shows that simulations could be used as a valid tool for some field scale studies where breakthrough time is of more concern rather than sweep pattern. One of the other important goals of this project that was achieved is to design and construct an experimental setup that could be used for an academic demonstration purposes. IV Experimental and Numerical Studies of First Contact Miscible Injection in a Quarter Five Spot Pattern
Charge Decay Characteristics of the JSC Mars-1 Martian Regolith Simulant

Studies of the voltage (charge) decay behavior of the JSC Mars-1 Martian Regolith simulant are presented for both moist and dry conditions in a simulated Earth/Mars environment. The results indicate that moisture content is the main driving force behind the form of the decay curve as well as temperature while atmospheric content and pressure play a little role. Dry simulant conditions act as well-behaved ohmic insulators with an expected exponential decay, while moist simulant possesses non-ohmic behavior decaying as 1/time. The decay relationships are derived from the experimental measurements of the current-voltage relationships. Some possible explanations of this behavior are discussed.
The Associations between Earnings Management, Corporate Environmental Disclosure, Corporate Financial Performance and Corporate Governance Mechanisms

The aim of the study is to investigate the associations between earnings management (DA), corporate environmental disclosure (CED), corporate financial performance (CFP), and corporate governance (CG) mechanisms. Using Partial Least Squares-Structural Equation Modelling (SEM), the study obtains empirical findings consistent with all hypotheses. DA has a positive effect on both CED and CFP; CED has a positive effect on CFP; and CG partially mediates the effect of DA on CFP. CG, as measured by institutional ownership and the number of audit committees, weakens the association between DA and CFP. However, CG, as measured by the proportion of independent commissioners, is not able to weaken the association of DA and CFP. Therefore, CG does not fully moderate the relationship between DA and CFP. It is recommended that control variables be used in order to clarify the effect of latent variables in future studies. Key-Words: Earnings management, corporate environmental disclosure, corporate financial performance, and corporate governance mechanism.
The Role of Pathogenic E. coli in Fresh Vegetables: Behavior, Contamination Factors, and Preventive Measures

Many raw vegetables, such as tomato, chili, onion, lettuce, arugula, spinach, and cilantro, are incorporated into fresh dishes including ready-to-eat salads and sauces. The consumption of these foods confers a high nutritional value to the human diet. However, the number of foodborne outbreaks associated with fresh produce has been increasing, with Escherichia coli being the most common pathogen associated with them. In humans, pathogenic E. coli strains cause diarrhea, hemorrhagic colitis, hemolytic uremic syndrome, and other indications. Vegetables can be contaminated with E. coli at any point from pre- to postharvest. This bacterium is able to survive in many environmental conditions due to a variety of mechanisms, such as adhesion to surfaces and internalization in fresh products, thereby limiting the usefulness of conventional processing and chemical sanitizing methods used by the food industry. The aim of this review is to provide a general description of the behavior and importance of pathogenic E. coli in ready-to-eat vegetable dishes. This information can contribute to the development of effective control measures for enhancing food safety.
Reverse concreteness effects are not a typical feature of semantic dementia: Detailed examination of a full severity-spectrum case-series

Syn Judge = Synonym judgement; Desc-Noun = Description-noun matching; Desc-Verb = Description-verb matching; Verb Sim = Verb Similarity Test; S&McG = Shallice and McGill test; MMT-pic = Mischievous Monkey Test with pictures; MMT-word = Mischievous Monkey Test with words. Bars indicate standard error of mean, adjusted to reflect the between-condition variance used in within-subject designs (Loftus and Masson, 1994).
Climate signals in carbon and oxygen isotope ratios of Pinus cembra tree‐ring cellulose from the Călimani Mountains, Romania

We analyse annually resolved tree‐ring stable carbon (δ13C) and oxygen (δ18O) isotopic chronologies from Swiss stone pine (Pinus cembra L.) in Romania. The chronologies cover the period between 1876 and 2012 and integrate data from four individual trees from the Calimani Mts in the eastern Carpathians where climatic records are scarce and starts only from 1961. Calibration trials show that the δ13C values correlate with local April–May relative humidity and with regional to larger scale (European) summer precipitation. δ18O correlates significantly with local relative humidity, cloud cover, maximum temperature, as well as European scale drought conditions. In all cases, the climate effects on δ13C values are weaker than those recorded in the δ18O data, with the latter revealing a tendency toward higher (lower) values of δ18O during extremely dry (wet) years. The most striking signal, however, is the strong link between the interannual δ18O variability recorded in the Calimani Mts and large‐scale circulation patterns associated with North Atlantic and Mediteraneean Sea sea surface temperatures. High (low) values of δ18O occur in association with a high (low) pressure system over the central and eastern part of Europe and with a significantly warmer (colder) Mediterranean Sea surface temperature. These results demonstrate the possibility of using tree ring oxygen isotopes from the eastern Carpathians to reconstruct regional drought conditions in eastern Europe on long‐term time scales and larger scale circulation dynamics over the preinstrumental periods.
The influence of effective soybean seed treatment on root biomass formation and seed production

The soya seed was treated before sowing with the following biological active substances: Lignohumate B, Lexin, Lexenzym, brassinosteroid, and "Complex treatment" (a mixture of saturated sugar solution, Lexin, fungicide treatment Maxim XL 035 FS and remedial pinolen substance Agrovital). During growing, the influence of biological active substances on root biomass formation and the activity of bacteria for nitrogen fixation was observed. Evaluated parameters were shoot biomass formation and dry mass formation of plants. Harvest values were considered an important output of the whole year soya growth process. As can be observed from the results, the most effective seed treatments were Lexenzym, Lexin, and "Complex treatment", where the yields were high. Moreover, the "Complex treatment" in comparison with the control variant (not treated) improved statistically conclusively not only the final yield but was helpful also for bacteria nodulation and nitrogen fixation (N2). All biologically active compounds supported the root and shoot biomass formation and the whole plant growth.
Seasonal Variation To Epistaxis - A Clinical Study

Epistaxis is one of the commonest ENT emergencies requiring hospital admission. Several studies have found an existence of seasonal variation to epistaxis. The incidence of epistaxis is more during cold and dry seasons. Our study aims to ascertain whether a relationship of seasonal variation and epistaxis exists and if so what the probable contributing factors are. A study was conducted in the department of ENT, Gauhati Medical College and Hospital for a period of two years. Those patients who presented with epistaxis severe enough requiring admission above the age of 12 years were included in our study. Patients with traumatic epistaxis, bleeding diasthesis, bleeding nasal or nasopharyngeal mass were excluded from the study. The study showed a significant increase in the incidence of epistaxis was in the winter months due to adverse effect of dry weather on nasal mucosa, supplemented by infection.
Effect of sowing density on grain yield, protein and oil content and plant morphology of soybean (Glycine max L. Merrill)

To find out exactly how sowing density and sowing pattern affect soybean grain yield, quality and its components in non-traditional soybean growing regions, such as Germany, two field trials have been conducted at two locations in Bavaria in 2016 and 2017. The experiments were carried out with four sowing densities (30, 50, 70, 90 seeds/m2) and four cultivars from different maturity groups (Viola 000, Lissabon 000, ES Mentor 00, Orion 00) as randomized complete block design with four replicates. Almost all evaluated traits varied significantly depending on year × location. There was no interaction between the main factors (cultivar × sowing density). The results revealed that grain yield and height of the first pod increased with increase of sowing density. The number of pods per plant and branching decreased with increasing sowing density. At higher sowing densities at flowering leaf area index was significantly higher than at lower sowing densities. The cv. ES Mentor (00) with 70 seeds/m2 has proved to be a suitable cultivar in terms of yield and quality in southern Germany (> 3.6 t/ha grain yield and 40% protein).
Characterisation of incinerator bottom ash from a Danish waste-to-energy plant: a step towards closing the material cycle

The UN Sustainable Development Goal 12, regarding responsible production and consumption of raw materials, guides ongoing international efforts to enhance sustainability in all parts of the mineral sector. Of particular interest, is improving the recyclability of secondary waste streams and thereby increasing the efficiency of recycling end-of-life products. Municipal solid waste – residual waste from household and industry – constitutes one of these secondary streams. It is typically incinerated in waste-to-energy plants producing two types of waste streams that carry a raw material resource potential: incinerator bottom ash (IBA) and incinerator fly ash (IFA). IBA is of particular interest in the recycling industry, where it is commonly recycled to produce three main fractions: (i) ferrous material, (ii) non-ferrous material, and (iii) residual slag. In most cases the two metal fractions are separated further downstream in the value chain, prior to smelting. The residual, non-magnetic fraction (typically 0–45 mm) is used mainly as construction aggregate. Improvements in the efficiency of existing separation technologies are still being made, but less effort is focussed on characterising the fundamental composition and mineral resource potential of IBA. For this reason, the Urban-X project was launched by the Geological Survey of Denmark and Greenland (GEUS) to characterise the composition and resource potential of various waste streams at Amager Bakke waste-to-energy plant in Copenhagen, Denmark. This paper discusses some of the main outcomes of the Urban-X project with respect to IBA, and a full analysis of all waste streams analysed at Amager Bakke is available in Clausen et al. 2019.
Rinotraqueitis infecciosa bovina en hatos lecheros de la región Cotzio-Téjaro, Michoacán, México Infectious bovine rhinotracheitis in dairy herds in the Cotzio-Tejaro region of Michoacan, Mexico

The objectives of this study were to estimate the serological prevalence of bovine infectious rhinotracheitis (IBR), and to determine the effects of risk factors on IBR, and the effect of positive serology on the reproductive performance of dairy herds in two different locations in the State of Michoacan, Mexico. During 1999, a two stage random sampling was carried out taken blood samples from 428 cows, in 44 herds. Cow reproductive status was determined by palpation, and calf condition was recorded. IBR virus (IBRV) antibodies were determined using a commercially available ELISA kit. Interviews were performed in order to gather information about the farms. Data were analyzed using both odds ratio (OR) tests, and variance analysis. Individual serological prevalence was 22.0 %. The IBR risk was lower in concrete-floored dairies than in soil-floored dairies (OR = 2.21) or in those with both floor types (OR = 1.95). The introduction of animals from other locations also represented a high risk level (OR = 2.53). IBR risk was 2.36 times higher in cows >4 years old than in younger cows, and approximately 4 times lower in herds with 0.05) was observed between the presence of IBR antibodies and abortion history, or presence of granulous vulvitis; or between calving interval and number of open days. Positive serology found in the absence of vaccination shows the presence of field virus in the region. Positive IBR serology does not seem to be associated with reproductive clinical disorders.
Radar and Camera Early Fusion for Vehicle Detection in Advanced Driver Assistance Systems

Perception module is at the heart of modern Advanced Driver Assistance Systems (ADAS). To improve the quality and robustness of this module, especially in the presence of environmental noises such as varying lighting and weather conditions, fusion of sensors (mainly camera and LiDAR) has been the center of attention in the recent studies. In this paper, we focus on a relatively unexplored area which addresses the early fusion of camera and radar sensors. We feed a minimally processed radar signal to our deep learning architecture along with its corresponding camera frame to enhance the accuracy and robustness of our perception module. Our evaluation, performed on real world data, suggests that the complementary nature of radar and camera signals can be leveraged to reduce the lateral error by 15% when applied to object detection.
Assessment of Historical and Current Trends in Mercury Deposition to New Jersey Aquatic Systems through Analysis of Sediment and Soil Cores

Atmospheric deposition is an important source of mercury to aquatic and terrestrial ecosystems and has global, regional, and local components. Deposition of mercury to waterbodies in New Jersey has resulted in elevated levels of mercury in fish across the state. Potentially significant sources of mercury to waterbodies in New Jersey include coal-burning power plants, municipal solid waste incineration, and metal smelting. Analysis of dated sediment cores has been a most useful tool for documenting historical changes in atmospheric mercury fluxes to waterbodies. This is the first study to analyze sediment cores to estimate the historic pattern of mercury to New Jersey aquatic systems. The objectives were to identify and characterize the extent of atmospheric mercury deposition to New Jersey aquatic systems and to identify indications of local sources of mercury contribution to these systems. Sediment core samples were taken from five lakes and one coastal marsh, dated based on radionuclide analyses, and analyzed for total mercury. The results indicated that mercury fluxes have generally decreased since an historic high rate in the late 1940s. Mercury fluxes were, however, still significantly elevated at most sites compared with estimates of mercury fluxes in remote areas in North America receiving background mercury deposition. However, the results in NJ lakes are comparable to recent mercury fluxes to the Great Lakes suggesting a large-scale regional influence. One site, Woodcliff Lake in northeastern NJ, had particularly elevated fluxes of mercury similar to Central Park Lake, NY and future efforts will be directed to determine if the mercury deposition to these waterbodies reflects a more localized area of elevated mercury deposition, and if so, to provide information on its likely sources. Assessment of Historical and Current Trends in Mercury Deposition to New Jersey Aquatic Systems through Analysis of Sediment/Soil Cores Amy E. Kroenke1, B.S., Edward L. Shuster1, Ph.D., Richard F. Bopp1, Ph.D. and Mary Downes Gastrich2, Ph.D.
Predicting university entry using machine-based models and solutions [accepted manuscript]

Increasingly, governments and grant bodies around the world are funding large databases of longitudinal data on young people as they transition from adolescence into adulthood. They are often put together by multidisciplinary teams including economists, sociologists, educators and psychologists and have led to considerable advancements in theory within these fields. Nevertheless, aspects of these databases remain underutilized. In particular, belying their conception, research flowing from these databases tends to be discipline-specific and consists of a small subset of variables. This is consistent with a dominant focus in social science research on explanatory science at the cost of predictive science. However, advances in machinelearning algorithms mean that there are possibilities to leverage the broad multidisciplinary nature of these databases to build models that can be used to predict important transition outcomes like university entry. We illustrate various approaches, using over 100 variables from the Longitudinal Study of Australian Youth (LSAY) collected when participants (N = 6,363) were 15 years of age to predict university entry three years later. We also consider what insights the various approaches provide to theory. While not a replacement for rigorous testing of causal explanations, machinelearning approaches provide a powerful additional tool for developmental researchers with important real-world applications. * Acknowledgements: This study was partially funded by the Australian Research Council (DE140100080) and the Jacobs Foundation.