Miracle-dz/UniFAR-FTUs huggingface dataset:
Young maltreated children's competence to take the oath

Two studies examined 192 maltreated young children's competence to take the oath. Study 1 found that despite serious delays in receptive vocabulary, a majority of 5-year-olds correctly identified truthful statements and lies as such and recognized that lying is bad and would make authority figures mad. However, most participants up to 7 years of age could not define "truth" and "lie" or explain the difference between the terms. Four-year-olds were above chance in recognizing the immorality of lying but exhibited a tendency to identify all statements as the "truth. " Study 2 found that 4- and 5-year-olds performed above chance in identifying which of 2 story characters was lying or telling the truth and in identifying whether the truth-teller or the liar said something bad or would get in trouble. Children exhibited better understanding of the immorality of lying than the meaning of lying. Maltreated children's oath-taking competence may be underestimated due to linguistic and motivational difficulties.
INVESTIGATING THE EFFICACY OF WEB 2 TOOLS ON LANGUAGE PEDAGOGY IN IRAN

هدیکچ : زبا زا هدافتسا ؤم ییاضف داجیا فده اب انبم بو را ب شزومآ رما رد ایوپ و رث ه رد و یلک روط ب یسیلگنا نابز شزومآ ه لاح رد صاخ روط یلع . تسا شرتسگ نانچ نآ زونه دوجوم بو تحت ياهرازبا عیسو هرتسگ مغر ینابز حطس شیازفا يارب بسانم و دیفم ياهرازبا ،تسا هتسیاش هک نازیم یسررب فده اب رضاح شهوژپ ساسا نیا رب . تسا هدشن هئارا یسیلگنا نابز شزومآ هزوح رد ناریگارف ت أ رازبا ریث بو ياه 2 نابز شزومآ رد نیا رد . تسا هدش ماجنا ناریا رد یسیلگنا أت دش شلات رضاح هعلاطم رد اتسار گلابو هلمج زا بو تحت ياهرازبا زا یخرب ریث یکیو ،اه سیورس ،اه ياه هکبش ،لیمیا تسکداپ و ،یعامتجا ياه تسکداو و اه ینابز یلصا تراهم راهچ رب اه – دینش ،يراتفگ بلطم كرد و ندناوخ و يراتشون ،يرا یسررب دروم هاگشزومآ زا یکی رد قیقحت . دریگ رارق اب و ملایا رهش ياه 71 نابز روص لرتنک و یشیامزآ هورگ ود رد هتفرشیپ و ،طسوتم ،ییادتبا عطقم هس رد زومآ ت نابز . تفرگ ،شیامزآ هورگ نازومآ هدش رکذ ياهرازبا قیرط زا هب تدم ود هام تحت شزومآ بو 2 رارق . دنتفرگ هویش زا لرتنک هورگ رد شزومآ ياه ب جیاتن . دش هدافتسا لوادتم أت هدمآ تسد ه بو ياهرازبا تبثم ریث 2 یم ناشن هتفرشیپ و طسوتم حوطس رد ار ب . دهد أت نیرتشیب ،هولاع ه رد بیترت هب ریث ادینش و يراتشون ،بلطم كرد و ندناوخ تراهم شیازفا . دش هدهاشم ير ق أت هک تسا رکذ لبا نادنچ ییادتبا حوطس رد رظن دروم ریث تسین دوهشم . ناگژاو لک ی د ي : ا ب ،یسیلگنا نابز شزومآ ،انبم بو ياهراز تراهم ینابز ياه .
Design factors in the museum visitor experience

i Declaration by author . iii Publications during candidature . iv Acknowledgements . v List of Figures & Tables . xi Figures . xi Tables . xiii List of Abbreviations used in the Thesis . xv Glossary of Key Terms . xvi Chapter One: Introduction . 1 1.1 A Personal Narrative on the Origins of This Study . 1 1.2 Museums: Their Social, Cultural and Economic Role . 3 1.3 The Research Problem . 4 1.4 Theoretical Framework . 6 1.5 Research Aims and Approach . 7 1.6 Significance of the Research . 8 1.7 Structure of this Thesis . 9 Chapter Two: Literature Review . 10 PART ONE: Museum Exhibitions and the Visitor Experience . 10 2.1 The Importance of Experiences . 10 2.2 Exhibition Design: Importance and Research Challenges . 11 2.3 Brief History of Museum Architecture and Exhibition Design . 13 2.4 New Roles for Exhibitions: From Displays to Experiences . 15 2.4. 1 Experiences as Theatre – Exhibition Design as “Scenography” . 17 2.5 Theories of Exhibition Space . 19 2.5. 1 Space Syntax . 19 2.5. 2 Isovist Theory – “Space Semantics” . 21 2.5. 3 The Exhibition as a “Text”: Semiotic and Linguistic Analysis . 23 2.5. 4 Semiotics Beyond Texts: The Multimodality of the Visitor Experience . 25 2.6 Summary of Part One . 29 PART TWO: Atmospherics and the Role of the Environment . 30 2.7 Introduction to Atmospherics . 30 2.8 Theoretical Frameworks for Atmospherics . 33 2.8. 1 Modelling Consumer Response as Stimulus-Organism-Response . 33 2.8. 2 Characterising Environmental Variables . 34 2.8. 3 Affect and Emotion in Consumer Responses . 37
Adapting MODIS‐derived LAI and fractional cover into the RAMS in East Africa

Land cover and its associated biophysical parameters govern many land–atmosphere interactions. Several previous studies have demonstrated the utility of incorporating satellite‐derived observations of land cover into climate models to improve prediction accuracy. In the developing world where agriculture is a primary livelihood, a better understanding of seasonal variability in precipitation and near‐surface temperature is critical to constructing more effective coping strategies for climate changes and food security. However, relatively few studies have been able to assess the impacts of improved surface parameterisation on these variables and their seasonality. Using moderate resolution imaging spectroradiometer (MODIS)‐derived products, we sought to address this shortcoming by adapting leaf area index (LAI) and vegetative fractional cover (FC) products, along with an improved representation of the land surface (i.e. land use land cover) into the Regional Atmospheric Modelling System in East Africa to evaluate the effect improved representations would have on simulated precipitation and land surface temperature (LST). In particular, we tested the hypothesis that improved phenological parameterisations could reduce error in precipitation and LST under dramatically different atmospheric conditions. The model was used to simulate dry/normal/wet rainfall years of 2000, 2001, and 2002 (respectively) in order to understand biases in this parameterisation under different boundary conditions. Our results show a dramatic improvement in LST simulation due to the use of the improved representations (spline functions) during most of the year, both spatially and temporally. Annual precipitation, which is dependent upon a much greater variety of surface and atmospheric characteristics, did not improve as much by adopting the spline representations of LAI and FC; the results were more equivocal. However, seasonal timing of precipitation improved in some areas, and this improvement has important consequences for integrated climate–agriculture assessments. Copyright © 2009 Royal Meteorological Society
FAMILY FIRMS AND PERFORMANCE EMPIRICAL ANALYSIS FROM SPAIN

How to cite this paper: Ntoung, A. T. L. , Vila Biglieri, J. E. , Outman, B. C. , Masárová, E. , Babounia, A. , & Kome, C. M. (2017). Family firms and performance empirical analysis from Spain. Corporate Ownership & Control,
The Effects of Patients' and Care-Givers' Knowledge, Attitude, & Practice (KAP) on Quality of Life Among Thalassemia Major Patients' in Damascus-Syrian Arab Republic

Background: Thalassemia is the most common autosomal abnormality in Syria. Its complications have an important effect on education; time off school; sport; difference from friends/ siblings; social interactions; and stigmatization. Knowledge of factors associated with quality of life in thalassemia patients is necessary for forming appropriate clinical programs, social support, and improving treatment outcomes. Purpose: The study was to assess the effects of Patients' and Care-givers' Knowledge, Attitude, & Practice (KAP) with Quality of Life among Thalassemia Major Patients' in Syria. Methods: Cross-sectional descriptive analytical design was conducted at the national thalassemia center in Damascus. WHOQOL-BREF and a questionnaire developed by the researcher were used to measure the participants’ knowledge, attitudes and practices of thalassemia. Results: Total of 238 thalassemia patients participated in the study. A statistical significance was found regarding improvement of skill and knowledge scores among caregivers and thalassemia patients before and after receiving the teaching guide from 12.52±1.77 to 14.07±1.01, t=11.447, p=0.000 and from 34.12±4.50 to 37.43±4.61, t=-8.58, p= . 000 respectively. Stigmatization was significantly noticed among families caring for thalassemic patients. There were a significant differences in the mean score regarding nutritional status before and after teaching guide paired t test= 12.11, p= 0.000. A statistical significance was found in females regarding social domain p=0.04. However, mean scores for overall quality of life were better in females rather than males, but these mean scores were statistically insignificant p>0.05. A statistical significant difference in ferritin levels and patient’s age was found. Results also revealed that no statistical significant differences was observed between overall quality of life of the four domains in relation to the two treatment groups (subcutaneous vs oral) and age groups. Conclusion: Thalassemia is a socio-economic problem. The most efficient way to reduce risks of having affected patients is by increasing the knowledge through training of parents regarding the disease. Our findings highlighted that there was lack in patients’ knowledge and skills regarding the disease, but a remarkable improvement in both knowledge and performance was found after patients received the teaching guide, which lead to an increase in overall patient's quality of life.
Writing Analytics for Epistemic Features of Student Writing

Literacy, encompassing the ability to produce written outputs from the reading of multiple sources, is a key learning goal. Selecting information, and evaluating and integrating claims from potentially competing documents is a complex literacy task. Prior research exploring differing behaviours and their association to constructs such as epistemic cognition has used ‘multiple document processing’ (MDP) tasks. Using this model, 270 paired participants, wrote a review of a document. Reports were assessed using a rubric associated with features of complex literacy behaviours. This paper focuses on the conceptual and empirical associations between those rubric-marks and textual features of the reports on a set of natural language processing (NLP) indicators. Findings indicate the potential of NLP indicators for providing feedback regarding the writing of such outputs, demonstrating clear relationships both across rubric facets and between rubric facets and specific NLP indicators.
Specification of the Q Hypothesis: An Alternative Mathematical Foundation for Physics

Mathematical tools related to coherence theory and classical-quantum equivalence, due to Wigner and Glauber, are essential to modern, practical and empirical understanding of electromagnetics in areas like quantum optics and nanoelectronics. This paper specifies how an extension of these same tools (especially Glauber's "Q" mapping) can be applied to strong nuclear forces as well, and provides a "bottom-up" approach to axiomatic unification of physics, grounded in empirical reality (dice included). The Q hypothesis also has implications for quantum measurement and quantum information technology. The basic hypothesis is that density matrices across all of quantum field theory can be "decoded" or mapped usefully into probability distributions for "classical" fields, by using a generalization of Glauber's Q mapping, which does the same for electromagnetics.
A conceptual framework of e-fashion shopping intent

Functional e-fashion shopping risks induce the reluctance to e-fashion shop that directly influences the intention to shop for fashion online. Using the Theory of Planned Behaviour as the theoretical framework, the study aimed to develop a conceptual framework of e-shopping intent by exploring attitudinal (rational and emotional) and the perceived behavioural control elements (functional risks) when e-fashion shopping for the first time. A qualitative, exploratory study was designed of which 15 purposefully chosen participants took part in a practical fashion web-site exercise followed by in-depth interviews. Content analysis of the findings revealed that consumers experienced both positive and negative emotional and rational attitudes that could act as indicators of e-fashion shopping intent. Control and lack of control were also experienced through the functional risks consumers were exposed to, that are also potential indicators of e-fashion shopping intent. The newly proposed conceptual framework related to the TPB for e-fashion consumers is discussed. These findings are useful to e-retailers when developing e-fashion shopping websites if reduction in e-fashion shopping functional risk is to be addressed which may positively influence the intent to shop online. The study has identified the functional risks e-shoppers have control over when shopping for fashion online and those they do not have control over, which can assist in the development of the online offering to e-fashion shoppers.
Quasi-Optical 2-D Josephson Junction Array Oscillators with On-Chip Inductive Tuning Structures

Progress in understanding the mechanism of coherent oscillation in twodimensional (2-D) Josephson junction arrays has been made through analysis of the coupling circuit between two Josephson junctions. For a 2-D array to oscillate in phase, capacitive coupling is required for adjacent junctions in the same row and inductive coupling for adjacent junctions in the same column of the array. Computer simulation has been developed for two junctions coupled through a general circuit to find the optimum coupling between two junctions. The junctions in the array are also integrated with inductive tuning elements to tune out the junctions' parasitic capacitance. We have built 2-D Josephson junction arrays but no coherent oscillation has yet been observed.
Comparison of GOES‐retrieved and in situ measurements of deep convective anvil cloud microphysical properties during the Tropical Composition, Cloud and Climate Coupling Experiment (TC4)

[1] One of the main goals of the Tropical Composition, Cloud and Climate Coupling Experiment (TC4) during July and August 2007 was to gain a better understanding of the formation and life cycle of cirrus clouds in the upper troposphere and lower stratosphere and how their presence affects the exchange of water vapor between these layers. Additionally, it is important to compare in situ measurements taken by aircraft instruments with products derived from satellite observations and find a meaningful way to interpret the results. In this study, cloud properties derived using radiance measurements from the Geostationary Operational Environmental Satellite (GOES) imagers are compared to similar quantities from aircraft in situ observations and are examined for meaningful relationships. A new method using dual-angle satellite measurements is used to derive the ice water content (IWC) for the top portion of deep convective clouds and anvils. The results show the in situ and remotely sensed mean microphysical properties agree to within ∼10 μm in the top few kilometers of thick anvils despite the vastly different temporal and spatial resolutions of the aircraft and satellite instruments. Mean particle size and IWC are shown to increase with decreasing altitude in the top few kilometers of the cloud. Given these relationships, it may be possible to derive parameterizations for effective particle size and IWC as a function of altitude from satellite observations.
Weather Preceding Persistent Deep Slab Avalanches

Deep slab avalanches release on persistent weak layers of facets, surface hoar, depth hoar, or poorly bonded crusts and are generally hard to forecast. They are triggered either naturally from weather or are artificially triggered from localized dynamic loads such as skiers, snowmobilers, and explosives. For natural deep slab avalanches, weather preceding the release plays a key role in formation. For deep slab avalanches that are artificially triggered, preceding weather can also have a strong role. For this research, 51 deep slab avalanches were accessed in western Canada between 1993 and 2013 to obtain information on the persistent weak layer and overlying slab. Weather parameters such as precipitation amount, daily minimum and maximum temperature, and wind speed and direction were obtained from the nearest weather station for the two weeks prior to release of the accessed avalanches. Results indicate that the accessed natural deep slab avalanches typically occurred from either rapid mass loading via precipitation or wind transported snow or from snowpack warming by air temperature or incoming short wave radiation. Higher cumulative precipitation and wind loading potential amounts were observed for the avalanches that likely released from rapid mass loading. The natural releases that likely occurred from solar warming did not have high amounts of precipitation, wind loading, or warming and experienced clear skies during the day of release. The most amount of warming was observed for the avalanche that likely released from temperature warming. Similar weather trends for both natural and artificially triggered avalanches indicate the importance of analyzing the snowpack along with preceding weather.
Breakdown current density of graphene nanoribbons

Graphene nanoribbons (GNRs) with widths down to 16 nm have been characterized for their current-carrying capacity. It is found that GNRs exhibit an impressive breakdown current density, on the order of 108 A/cm2. The breakdown current density is found to have a reciprocal relationship to GNR resistivity and the data fit points to Joule heating as the likely mechanism of breakdown. The superior current-carrying capacity of GNRs will be valuable for their application in on-chip electrical interconnects. The thermal conductivity of sub-20 nm graphene ribbons is found to be more than 1000 W/m K.
The impact of Arctic and North Atlantic oscillation on temperature and precipitation anomalies in Serbia

Introduction Variations in temperature and precipitation are frequently explained by variations in atmospheric teleconnections, expressing the global or regional circulations. The two most well-known teleconnections are the Arctic Oscillation (AO) and the North Atlantic Oscillation (NAO). The AO is a climate pattern characterized by winds whose direction is opposite clockwise around the Arctic at about 55 ° N latitude.The AO is a zonal symmetric seesaw between the sea level pressure in Polar region and moderate latitudes (Thompson, 1998). When AO is in the positive phase, strong winds on high altitude circulating around the North Pole form a vortex ring that closes in place a much colder air over the Arctic.Because of that, the higher pressure in mid-latitudes pulls cyclones further to the north of the Arctic.When this turbulence becomes weaker and the AO moves into a negative phase, it allows the intrusion of cold air masses to plunge into North America, Europe and Asia. When the AO is negative, the jet stream moves south, bringing with it cooler weather with precipitation. At that time, the pressure over the polar region is relatively high, while being low at midlatitudes (around 45° N), especially in the oceanic mid-latitudes.The shift of winds from the western belt of northern Europe into the middle latitudes occurs, forming the storms that bring rain to the Mediterranean region. The AO extends through the stratosphere, from 6 to 30 km above the Earth’s surface.The object of analysis is the stratosphere due to the main role played by the polar vortex in winter.From November to April, deep low is established in the strathosphere of the northen hemisphere, which reaches the trophospheric levels.Also, there is a considAbstract
Deep Learning for the Analysis of Latent Fingerprint Images

Author(s): Ezeobiejesi, Jude | Advisor(s): Bhanu, Bir | Abstract: Latent fingerprints are fingerprint impressions unintentionally left on surfaces at a crime scene. The accuracy of latent fingerprint identification by latent fingerprint forensic examiners has been the subject of increased study, scrutiny, and commentary in the legal system and the forensic science literature. Errors in latent fingerprint matchingcan be devastating, resulting in missed opportunities to apprehend criminals or wrongful convictions of innocent people. Latent fingerprint comparison is increasingly relied upon by law enforcement to solve crime, and prosecute offenders. The increasing use of this service places new strains on the limited resources of the forensic science delivery system. Currently, latent examiners manually mark the region of interest (ROI) in latent fingerprints and use features manually identified in the ROI tosearch large databases of reference full fingerprints to identify a small number of potential matches for subsequent manual examination. Given the large size of law enforcement databases containing rolled and plain fingerprints, it is very desirable to perform latent fingerprint processing in a fully automated way.This dissertation proposes deep learning models and algorithms developed in the context of machine learning for automatic latent fingerprint image quality assessment, quality improvement, segmentation and matching. We also propose techniques that help speed-up convergence of a deep neural network and achieve a better estimation of the relation between a latent fingerprint image patch and its target class. A unified frequency domain based framework for latent fingerprint matching using image patches, as well as a novel latent fingerprint super-resolution model that uses a graph-total variation energy of latent fingerprints as a non-local regularizer for learning optimal weights for high quality image reconstruction, are also proposed. Using the deep learning models, we aim at providing an end-to-end automatic system that solves the problems inherent in latent fingerprint quality assessment, quality improvement, segmentation and matching.
The Effect of Light and Water Supply on Growth, Net CO2 Assimilation Rate and Mineral Content of Salak (Salacca zalacca (Gaertn.) Voss) Seedlings

The study was carried out in a greenhouse of at the Institute for Horticultural Sciences of the Humboldt Universitat zu Berlin. Seven-months-old seedlings of salak cultivars “pondoh” from Indonesia were used for the study. At this age, plants are usually transferred from the nursery to the field in the growing region. An experimental block design was arranged for the study. A total of 48 experimental plants was separated into two blocks, namely shading (S) and non-shading (N). Three water supply treatments were assigned to each block. At the beginning of the study, the seedlings for N treatment were moved from shading to non-shading tables in the greenhouse. Three water supply treatments were assigned to each block. At the beginning of the study, the seedlings for N treatment were moved from shading to non-shading tables in the greenhouse. Two additional 400 W lamps (HQI-TS/D, OSRAM, Germany) were placed 2 m above the seedlings in the N treatment. Three watering treatments, applied to each block, were W1 (100 ml distilled water per plant every 2 days), W2 (100 ml per plant every 4 days) and W3 (100 ml per plant every 6 days). Therefore, the combinations of the treatments were SW1, SW2, SW3, NW1, NW2 and NW3. Responses to be analysed were shoot and root dry weight, increment of shoot length and leaf area, net CO2 assimilation rate (PN) and plant mineral contents, i.e. N, P, K, Ca and Mg. In addition, water content of the growing media was recorded. The study results showed that shading, which reduced sunlight by 70 %, was not beneficial for 7-months-old salak seedlings, due to lower growth rate, PN and N content as compared with plants in non-shading conditions. On the other hand, light intensities above 800 µmol m -2 s -1 (PAR) possibly cause leaf bleaching and should be avoided. Salak plants did not tolerate drought conditions. However, different water supply did not affect PN and mineral uptake (N, P, K, Ca, Mg) of salak plants.