Miracle-dz/UniFAR-FTUs huggingface dataset:
GAMIFICATION STUDY: REVIEW AND RETRIEVAL

The digital transformations of the modern society often outstrip the processes of science transformation, forcing science to constantly improve both technologies and applied software. The phenomenon especially characterizes scientific studies in research areas such as the Digital Economy and the Smart City. In order to the urban environment becomes smarter, gamification technologies act as the motivational mechanisms, maintaining citizens’ social activity and stimulating social growth. The purpose of the paper is an identification of development trends of gamification in the context of the sociocultural urban information space. Comparative analysis results of the publications’ number, Russian scientific discourse about considered subject domains as well as its correspondence to the global trends are presented. The study has applied the synthetic method for the automated extraction and explication of contextual knowledge from an array of textual modality resources.
Antidepressants-a possibly risk factor for cataract development: a cross-sectional study

Background: Few studies have reported the role of antidepressants as cataractogenic in humans. Methods: It’s a hospital based descriptive, cross-sectional study. 45 Patients were screened for antidepressant use and diminution of vision, 6 were dropped out. 39 patients with 78 eyes were finally enrolled. They were divided into two goups i.e., Group-I, with cataract (N=53) and Group-II, without cataract (N=25). Three clusters of antidepressants were assessed e.g., SSRI, SNRI and TCA with therapeutic dose (TD) and non-therapeutic dose (NTD) range. Psychiatric illness was diagnosed on DSM-5 and severity of depression on HAM-D. Best corrected visual acuity (BCVA) was converted from Snellen units to logarithm of minimal angle of resolution (log MAR) for statistical analysis. Cataract changes in eyes were seen on slit-lamp and classified on Lens opacities classification system-III (LOCS-III) criteria. Results: A total 78 eyes of thirty-nine (39) patients were evaluated. Thirty (38.46%) and forty-eight (61.53%) eyes belonged to males and females, respectively. Mean age of males (n=7) was 41.8±2.3 years and females (n=32) 40.2±1.0 years. In Group-I, out of (N=53) eyes that developed cataract 33 were females (62.26%) as compared to males 20 (37.7%). Group -II, out of (N=25) eyes, females without cataract were 15 (60%) as compared to males 10 (40%). Therapeutic dose (TD) of antidepressants (AD) in Group-I had more cataract 37 (69.81%) as compared to non-therapeutic dose (NTD) 16 (30.1%). Most of the eyes with cataract 35 (66.03%) had AD exposure of more than 1 year that was possibly associated with increased risk of cataract development (OR 2.10; 95% CI, 0.79-5.55). Amongst users of antidepressants, SSRI was associated with increased risk of cataract development (OR 2.4; 95% CI, 0.72–7.94) with a female preponderance (OR 1.1; 95% CI, 0.41–2.91). Maximum number of eyes 34 (64.15%) that developed cataract had BCVA of ≥6/12 and minimum of 2 (3.77%) eyes had BCVA of ≤6/36. LOCS-III revealed 38 (71.69%) eyes (71.69%) having peripheral cortical cataract and 15 (28.30%) posterior sub-capsular cataract. Conclusions: There is a possible risk of association of cataract amongst user of antidepressants. The AD use of more than 1 year or longer had increased risk for development of cataract with a female preponderance. The highest risk was observed in the users of SSRI as compared to SNRI and TCA. Treatment exposure with antidepressant was longer for mild depression having more than two episodes.
Measuring dimensions of national identity across countries: theoretical and methodological reflections

ABSTRACT Two principal dimensions are commonly identified within the complex phenomenon of national identity: national boundaries and attachment to the nation. Few studies have sought to examine them together. By their combination, this study is based on the premise of the tension between a more open and inclusive view of the nation, as reflected in civic identity and patriotism, and a more closed and exclusionary conception, as reflected in ethnic identity and nationalism. The findings from a cross-national analysis provide only partial support for a comprehensive model of national identity and are discussed in light of the limitations of the measures.
Water Environment Management and Performance Evaluation in Central China: A Research Based on Comprehensive Evaluation System

As a developing country with insufficient water resources, China’s water environment management and performance evaluation have important research value. The three provinces (Henan, Hubei, and Hunan) in central China with typical significance in geographical location and water resources governance were selected as research objects in this paper. Based on the principal component analysis (PCA) method and the pressure-state-response (PSR) model, a comprehensive evaluation system for the water environment in those three provinces during 2011–2017 was established in this paper. The evaluation results show that: (1) The water environment management and performance evaluation of the three provinces in central China were generally poor in 2011–2012, but the overall trend was rising; (2) in 2013–2014, the situation was improved compared to the previous two years, but needed further enhancement; (3) in 2015–2017, the water environment management and performance of the three provinces showed significant improvement. Among them, the Hubei Province had the highest water environment evaluation value (1.692), and the Henan Province had the most significant progress (from 0.043 to 1.671). The contributions of this paper are: (1) The comprehensive evaluation model based on PCA and the PSR model was constructed to analyze the sustainable development of water environment in central China; (2) the performance evaluation system for water environment management, which could comprehensively evaluate the performance of water environment treatment and effectively reveal the correlation between various indicators, was established. The principal factors in water environment management can be obtained by this evaluation system. Based on the analysis of the reasons underlying the above changes, the corresponding policy recommendations for improving water environment management and performance in central China were suggested in order to provide a reference for further improvement of water environment management in developing countries.
The effects of afforestation as an adaptation option: a case study in the upper Chao Phraya River basin

The risks of flood and drought have been projected to increase in many regions due to global warming. Afforestation is considered an adaptation option because it reduces flood risks by decreasing total runoff and peak river discharge, but it also exacerbates drought risks by increasing evapotranspiration. In this study, both effects of afforestation were evaluated in comparison with changes caused by climate warming from the viewpoint of an adaptation measure, using a land surface model. The upper Chao Phraya River basin was taken as a case study. The present climate was set as a base condition and future climate conditions projected by the moderate (RCP4.5) and strong (RCP8.5) warming scenarios in the middle and late 21st century were used. The effects of afforestation were much smaller than the changes caused by warming even with the extreme forest area expansion and soil property changes. The effect of afforestation that reduced runoff was marked in the wet season, whereas the effect of afforestation that increased evapotranspiration was noticeable in the dry season leading to little increase in dry-season runoff. These results indicate that both the decrease in runoff that reduces flood risks in the wet season and the increase in evapotranspiration that exacerbates drought risks in the dry season should be taken into consideration when evaluating the hydrological effects of afforestation under global warming.
Affordable Housing, Disasters, and Social Equity

Abstract Problem, research strategy, and findings: The Low-Income Housing Tax Credit (LIHTC) is the most common financing mechanism for subsidized housing production in America. We investigate how and to what extent states are currently using the LIHTC to prepare for and recover from disasters. We systematically code guidelines in the 2017 LIHTC qualified allocation plans from 53 states and territories to identify disaster-related provisions. Twenty-four states and territories include provisions for preparedness or recovery in their allocation plans, of which 13 include only preparedness provisions, 3 include only recovery provisions, and 8 include both types. Preparedness provisions address project design and siting, whereas recovery provisions direct credits to disaster-affected areas or the replacement of damaged units. Using t tests, we compare three sets of states—those without any disaster-related provisions, those with either preparedness or recovery provisions, and those with both types of provisions—across measures of housing cost, demographic composition, disaster exposure, and political ideology. States with higher homeownership rates, lower home values, and lower rents are more likely than other states to have either or both types of provisions. Future research should investigate state adoption of disaster-related LIHTC provisions to better inform affordable housing policy. Takeaway for practice: State governments could mitigate disaster-related hazards and help speed recovery by including locally relevant preparedness and recovery provisions in their LIHTC allocation plans. These provisions could encourage resilient construction, weigh the social costs and benefits of LIHTC construction in floodplains, or waive program rules to address postdisaster housing shortages.
Reconstruction of Clipped Signals in Quantized Uplink Massive MIMO Systems

This paper considers the uplink of a single-cell multiuser massive multiple-input multiple-output system. Each receiver antenna of the base station (BS) is assumed to be equipped with a pair of analog-to-digital converters to quantize the real and imaginary part of the received signal. We propose a novel clipping-aware receiver (CA-MMSE), which performs minimum mean square error (MMSE) reconstruction only on the clipped received samples, while the granular samples are left unchanged after the quantization. On this basis, we present an iterative algorithm to implement the CA-MMSE receiver and derive a sufficient condition for its geometrical convergence to a fixed point. We show that as long as the number of BS antennas or the quantization resolution is sufficiently high, then, the performance of the CA-MMSE is as good as the optimal MMSE receiver which reconstructs all quantized received symbols. Additionally, we propose a novel Bussgang-based weighted zero-forcing (B-WZF) receiver which distinguishes the clipping and granular distortion and it is shown that as long as the received training symbols per antenna are correlated, the CA-MMSE brings significant improvements compared to conventional receivers in the literature while for users that do not experience deep large-scale fading the simpler B-WZF is near to the CA-MMSE for sufficiently high signal-to-noise ratio and quantization resolution.
TEXT LOCALIZATION IN SCENE IMAGES BY BENDELET TRANSFORM

In an automated text recognition system, one of the prerequisites is the localization of text. It is a challenging task in scene image due to their background and non uniform size of characters in the images. In this study, an efficient text localization system using bendlet transform is presented. Among the various multi-resolution and multi-directional analysis, bendlet transform has superior property that they classify the curvature precisely. To achieve this property, it uses an addition parameter than shearlets called bending operator. The system decomposes the scene images by bendlet transform and then reconstructs using the bands which contains only the edge information. Then, a series of post processing is applied to locate the text region in a scene image. Results show the robustness of the text localization system by successfully locating the text region in the scene images with different background and non-uniform text sizes.
Impact of water abstraction on water balance of Lake Ziway, Ethiopia

The available water volume of Lake Ziway in Ethiopia is declining at an alarming rate which hinders the lake services for a wide variety of sectors. However, there is a lack of systematic study to evaluate the contribution of water withdrawal by various sectors to the decline in the lake actual storage. In this study, we conducted a Water Abstraction Survey (WAS) to estimate actual water withdrawal from the lake. We applied a water balance model to evaluate the isolated impact of water withdrawal on the lake water volume and level. Three development pathways were simulated and the likely impact of these pathways on the lake water volume and level were assessed. Results indicate that water withdrawal for irrigation and domestic has significantly contributed to the change in the actual storage of Lake Ziway. Under full development pathways, irrigation water withdrawal from the lake is estimated to be 95.3 MCM. This will cause the mean annual water level of the lake to drop by 0.94 m, which yield with 38 km2 reduction of the surface area of the lake. Overall, this will result in a reduction of mean annual lake volume by 405 MCM, which accounts for 26% of the average lake volume. Hence, our result indicates that the current impact of water abstraction on Lake Ziway storage is substantially large and will exacerbate in the future. This calls serious action on the management of water abstraction from the lake.
An optimized acetylcholine sensor for monitoring in vivo cholinergic activity

The ability to directly measure acetylcholine (ACh) release is an essential step toward understanding its physiological function. Here we optimized the GRAB ACh (GPCR-activation-based ACh) sensor to achieve substantially improved sensitivity in ACh detection, as well as reduced downstream coupling to intracellular pathways. The improved version of the ACh sensor retains the subsecond response kinetics, physiologically relevant affinity and precise molecular specificity for ACh of its predecessor. Using this sensor, we revealed compartmental ACh signals in the olfactory center of transgenic flies in response to external stimuli including odor and body shock. Using fiber photometry recording and two-photon imaging, our ACh sensor also enabled sensitive detection of single-trial ACh dynamics in multiple brain regions in mice performing a variety of behaviors. A genetically encoded acetylcholine sensor with improved sensitivity allows detection of cholinergic neurotransmission in vivo in the Drosophila and mouse brain.
Groups of Species Responding to Soil and Light in the Cerrado

Woody plants in the Cerrado have been understood to comprise two groups: calcicole species responding to soil Al-Ca gradient (CAL) and leguminous species responding to inorganic soil N gradient (LEG). However, the bulk of Cerrado woody flora was not inside these groups. Our main question was whether CAL and LEG are distinct from each other as well as from the bulk of Cerrado species that occur rather in savannas than in quasi-forests (SAV) while responding only to soil variables and light. We performed the study among five soil categories, and measured canopy openness. We evaluated the functional traits of the 34 most relevant species of the studied Cerrado. We measured specific leaf area, bark thickness, leaf nitrogen, leaf carbon, leaf C/N, maximum height, maximum, stem elongation, δ15N and δ13C. We determined wood density by consulting a database. RLQ and Fouth-corner analyses confirmed CAL and LEG as consistent groups as well as found a third group, the SAV. CAL and LEG were found to dominate plots with low canopy openness; only CAL were negatively associated with aluminium saturation; only LEG were negatively associated with pH; only SAV were negatively associated with inorganic nitrogen and CEC. LEG presented the lowest leaf C/N and the highest leaf N meanwhile SAV presented the highest C/N, the lowest leaf N and the lowest stem elongation. Higher values of δ13C in leaves suggest higher water use efficiency for CAL and LEG than for SAV.
Marine diatom assemblages of the Nosy Be Island coasts, NW Madagascar: species composition and biodiversity using molecular and morphological taxonomy

Madagascar is an isolated oceanic island characterized by high degrees of endemism at all taxonomic levels. The waters surrounding Madagascar are still poorly studied for benthic marine diatom assemblages. The aim of our study was to analyse the taxonomic biodiversity and molecular phylogeny of the diatom assemblages of the Nosy Be archipelago in terms of their ubiquity/rarity. A total of 65 samples from 14 sampling sites were collected from the Nosy Be and Nosy Tanikely islands in June/July 2014. Diatom identification, based on light and electron microscopic examination, revealed 332 diatom taxa. From those, ∼90 strains were isolated and successfully cultured. So far, DNA has been extracted and one chloroplast gene (rbcL) sequenced from 21 strains in order to reconstruct their single gene phylogeny. Taxa selected for sequencing and the preliminary phylogeny are from genera considered common benthic and planktonic forms in the marine littoral: Bellerochea, Melosira, Paralia, Triceratium, Navicula, Hippodonta, Auricula, Nitzschia, Cocconeis, and some araphids. For each site, Shannon and Simpson biodiversity indices were calculated. Diatom assemblages of Nosy Be were characterized by high biodiversity. The most abundant species was Cocconeis scutellum. Whereas some of the cultured taxa seem to represent cosmopolitan or zonal forms: e.g., Bellerochea malleus, Triceratium dubium, Melosira lineata, Paralia crawfordii, or Nitzschia inconspicua, most of the taxa isolated in culture and sequenced have not been observed in earlier works based on use of molecular markers. The dominant taxa were generally those with broad geographic distribution with global/Indo-Pacific affinities. Amongst all 332 taxa, only 35% have been identified to the species level. Many of the taxa identified to the generic level may turn out to represent taxa new to science after further SEM examination and DNA sequencing.
Psychological Aspects Influencing Perception of Illness in a Rare Pregnancy-Related Tumor

Valentina E Di Mattei1,2, Letizia Carnelli1,2*, Martina Bernardi1, Giorgia Mangili3 and Massimo Candiani1,3 1Vita-Salute San Raffaele University, Milan, Italy 2Clinical and Health Psychology Unit, IRCCS San Raffaele Hospital, Milan, Italy 3Obstetrics and Gynecology Unit, IRCCS San Raffaele Hospital, Milan, Italy *Corresponding author: Letizia Carnelli, Clinical and Health Psychology Unit, Vita-Salute San Raffaele University, Milan, Italy, E-mail: carnelli.letizia@hsr.it
“We Couldn’t Do This Without You”: The Filmmaker Experience Engaging, Co-Creating, and Building Community with Their Audiences

This research looks at four different case studies of filmmaker-audience collaboration using narrative and autoethnographic methods. Each separate narrative outlines the individual filmmaker’s experience and provides a voice for filmmakers in the research. Analyzing the cases together, an understanding of how filmmaking with an audience differs from other types of filmmaking begins to form. I argue that the main differences in this kind of collaborative filmmaking are: (1) the idea of keeping the actual versus imagined audience in mind, (2) knowing how and when to incorporate audience feedback, and (3) the performance of a number of communications and public relations skills that would not necessarily be a part of a regular independent film project.
Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification

As a typical graph-based semisupervised learning technique, the label propagation (LP) approach has gained much attention in recent years. The key to LP algorithms is the propagation capability and efficiency of the similarity matrix, which describes the similarity between two data points. Concerning hyperspectral image which often contains hundreds of thousands of pixels, the corresponding similarity matrix is particularly huge and thus the LP procedure is intractable. Fortunately, superpixel, which can effectively characterize the spatial semantic information of surface objects, provides a reasonable way to solve this problem. In this article, we propose an elaborate superpixel-based weighted LP approach, abbreviated as SuWLP, for hyperspectral image classification. First, the hyperspectral image is oversegmented by the entropy rate segmentation (ERS) method, and the internal consistency of each superpixel can be achieved. Second, a new similarity measure is designed to estimate the similarity between two superpixels, and a superpixel-based similarity matrix can be thus established. Third, after the training samples have been expanded based on the superpixel distribution, a weighted LP technique is designed to propagate the sample label at the superpixel level without any parameter tuning. Finally, the label of each superpixel maps back to the contained pixels. We compared our proposed SuWLP method with several state-of-the-art ones, and experimental results on three real hyperspectral data sets certify the effectiveness and efficiency of the superpixel-level LP strategy.
Determinants of nurses' pain management practices in Jordan: The moderating role of patient's barriers

In spite of the significant advancement in methods and tools associated with pain management, there is still a deficiency in the pain management practices. Therefore, the aim of this study is to empirically determine the level of pain management practices, evaluate the significant predictors of pain management practices (i.e. knowledge, attitude, subjective norm and self-efficacy), examine the moderating effect of patient barriers on the relationship between the predictors and the pain management practices, and to investigate the applicability of Field theory in explaining the pain management practices in Jordan. Six latent variables were involved including five exogenous and one endogenous variables and a cross-sectional survey was used in conducting the study. The instrument is consisted of 93 items adapted from the previous studies. The questionnaires were distributed to 600 nurses in 13 hospitals located in the central region of Jordan. The nurses were selected at random using a multistage cluster technique. Of 600, only 307 questionnaires were returned and used for analysis. Data collection was carried out for the period of six months from October 2014 until March 2015. Data were analyzed using partial least squares-structural equation modeling (PLS-SEM). The findings support the majority of the hypothesized relationships, specifically the hypothesized direct effects of attitude, self-efficacy, knowledge, and subjective norms on the pain management practices. In addition, patient-related barriers moderate one of these relationships. That is, the relationship between attitudes towards the pain management and the pain management practices is weaker for nurses who perceived high barriers from their patients as opposed to nurses who perceived low patient-related barriers. Collectively, the determinant variables of pain management practices accounted for 78% of the variance in the pain management practices. Theoretical, methodological, and practical implications are discussed.