Miracle-dz/UniFAR-FTUs huggingface dataset:
the power of physical models:

Mayson’s Ordnance model of the Lake District, commissioned by Henry and Thomas Mayson from sculptor Raffaelle Monti in 1875 was based upon early maps from Ordnance Survey, the government mapping agency for Great Britain. It was displayed in the town of Keswick, now in Cumbria, England until around 1980 when it is believed to have been destroyed. A large number of original negative moulds from the model were recovered, together with other historical objects, allowing the unique characteristics of the model to be explored for the first time. The study reveals the model to have been innovative for its time, being a very early example of a relief model constructed from contours. The scientific authority of the model, along with its cartographic detail and size, were used to promote it as a spectacle for early tourists. The article describes a process of digital capture, processing and 3D fabrication to allow parts of the model to be analysed and re-displayed. An exhibition explored public engagement with physical landscape models, included a novel visitor-led identification of the remaining moulds. Examples of modern landscape modelling and visualization techniques helped to explore the role physical models could play in the modern visitor experience.
Design of Sustainable Modular Wooden Booths Inspired by Revitalization of Croatian Traditional Construction and New User Needs Due to COVID-19 Pandemic

: The paper presents the results of the ﬁrst phase of the student project CROSTAND2, whose main goal is to revitalize the traditional construction techniques of vernacular architecture in the Republic of Croatia by developing modern sustainable prefabricated modular wooden buildings/public booths in accordance with users’ needs and habits. To incorporate conceptual design, the literature on Croatian construction and wood protection, prefabricated modular construction, and public urban spaces was analyzed and ﬁeld research was conducted. Photo documentation was also collected in the village of Donja Kupˇcina, Zagreb County, Croatia. An online survey questionnaire on socializing habits in public spaces, before and during the COVID-19 pandemic, additionally analyzed new requirements for user-centered design. The obtained results, as well as results from previous project research, were used as a basis and inspiration for the design of a conceptual modular building inspired by traditional wooden joints, modular construction, and the emerging needs of users to socialize safely in a healthy environment. Conceptual solutions for a sustainable modular prefabricated wooden building for public use, intended for public urban and rural areas, have been proposed. Such constructions would ensure the sustainability of enjoying the natural environment for personal, tourist, and commercial purposes with the perpetuation of Croatian heritage building traditions.
Blockchain Assimilation in Fisheries Supply Chain

Technology adoption remains a key driver of achieving a competitive edge over competitors, better operational effectiveness and reducing operating costs. An under researched area of technology adoption is how a technology diffuses and is assimilated throughout an organisation. We first introduce an overview of Blockchain followed by a summary of Blockchain in fisheries supply chain. Next, IT assimilation is described. Finally, this paper presents an existing IT assimilation framework that is utilised as a roadmap for the assimilation of Blockchain technology in the fisheries supply chain
‘Irreparable’ Rotator Cuff Tears: Tips and Tricks to Achieve Arthroscopic Repair

Irreparable rotator cuff tears are major injuries that can drastically affect the quality of life of the patients. Despite the complexity of the procedure and the high rates of re-tear, surgical repair is justified due to the lack of less aggressive and palliative alternatives. If a repair is not achieved, surgical alternatives are considered including tendon transfer, superior capsular reconstruction, or even reverse shoulder arthroplasty. Accordingly, arthroscopic repair must be performed in order to save the severely injured rotator cuff. The aim of this study is to summarize some of the arthroscopic techniques for repairing the so-called irreparable rotator cuff tears. tendinosa; artroscopia. Nivel de Evidencia: V Opinión de
GCF Working Paper 1/2022

Klaus Hasselmann has earned the 2021 Nobel prize in physics for his breakthroughs in analysing the climate system as a complex physical system. Since decades, as a leading climate scientist he is aware of the need for creative cooperation between climate scientists and researchers from other fields, especially economics. To facilitate such cooperation, he has designed a productive research program for economic analysis in view of climate change. Without blurring the differences between economics and physics, the Hasselmann program stresses the complexities of today’s economy. This includes the importance of heterogeneous actors and different time scales, of making major uncertainties explicit and bringing researchers and practitioners in close interaction. The program has triggered decades of collaborative research, especially in the network of the Global Climate Forum, that he has founded for this purpose. Research in-spired by Hasselmann’s innovative ideas has led to a farewell to outdated economic approaches: single-equilibrium models, a single constant discount rate, framing the climate challenge as a kind of prisoner’s dilemma and framing it as a problem of scarcity requiring sacrifices from the majority of today’s population. Instead of presenting the climate problem as the ultimate apocalyptic narrative, he sees it as a challenge to be mastered. To meet this challenge requires careful research in order to identify underutilisation of human, technical and social capacities that offer the keys to a climate friendly world economy. Climate neutrality may then be achieved by ac-tivating these capacities through investment-oriented climate strategies, designed and implemented by different actors both in industrialised and developing countries. The difficulties to bring global greenhouse gas emissions down to net zero are enormous; the Hasselmann program holds promise of significant advances in this endeavour.
New approaches to Risk Management and Scenario Approximation in Financial Optimization

The first part of the thesis addresses the problem of risk management in financial optimization modeling. Motivation for constructing a new concept of risk measurement is given through the history of development: utility theory, risk/return tradeoff, and coherent risk measures. The process of describing investor’s preferences is presented through the proposed collection of Rational Level Sets (RLS). Based on RLS, a new concept termed Rational Risk Measures (RRM) for financial optimization models is defined. The advantages of RRM over coherent risk measures are discussed. Approximation of a given set of scenarios using tail information is addressed in the second part of the thesis. Motivation for the scenario approximation problem, as a way of reducing computation time and preserving solution accuracy, is given through examples of financial optimization and asset allocation models. Using the basic ideas of Conditional Value at Risk (CVaR), this thesis develops a new methodology for scenario approximation for stochastic portfolio optimization. First, the concepts termed Scenarios-at-Risk (SaR) and Scenarios-at-Gain (SaG) are proposed as for the purpose of partitioning the underlying multivariate domain for a fixed investment portfolio and a fixed probability level of CVaR. Then, under a given set of CVaR values, a twostage method is developed for determining a smaller, and discrete, set of scenarios over which CVaR risk control is satisfied for all portfolios of interest. Convergence of the method is shown and numerical results are presented to validate the proposed technique.
CASE MANAGEMENT AND RESILIENCE OF ADOLESCENTS LIVING WITH HIV IN KIBRA SUB-COUNTY, NAIROBI CITY

Purpose: This study sought to examine the influence of case management on the resilience of adolescents living with HIV in Kibra Sub-County, Nairobi, Kenya. Mainly, the study aimed to assess the effect of the healthy domain, safe domain, schooled domain, and stable domain interventions on the resilience of adolescents living with HIV in Kibra Sub-County. Methodology: The study was anchored on Resilience Theory, Empowerment Theory, and Case Management Model and adopted a cross-sectional descriptive design. The study used a sample size of 165 adolescents living with HIV aged between 10-19 years and 16 key informants. A stratified sampling technique was used to select adolescents living with HIV, while key informants were selected through a purposive sampling technique. The study used questionnaires and interview guides to collect data. Findings: It is observed that case management interventions explained 80.0% of the resilience of adolescents living with HIV. More importantly, the study found that healthy domain, safe domain, schooled domain, and stable domain interventions had a positive and significant effect on the resilience of adolescents living with HIV in Kibra Sub-County. The case management interventions contributed significantly to the resilience of adolescents living with HIV in informal settlements. The most significant predictor of resilience was stable domain interventions, followed by schooled domain interventions, safe domain interventions, and healthy domain interventions. Unique contribution to theory, practice and policy: The study recommends that organizations or facilities dealing with adolescents living with HIV need to strengthen health education training, viral load monitoring, assisted disclosure, and follow-ups and bolster basic counselling, enhanced adherence counseling, and life-skill training. They should also support needy adolescents with sanitary pads and school fees/levies, monitor school attendance, provide relief food support to families experiencing emergencies, and provide career guidance and business and vocational/technical training. The findings contribute significantly to project management since all development projects aim to build the resilience of beneficiaries and enable them to become self-reliant. In order to support the findings that successful case management contributes to higher resilience and improved wellbeing, the researcher invites more research to identify other variables under case management intervention.
DETERMINANTS OF THE ADOPTION OF TECHNOLOGY BASED SELF-BANKING SYSTEM - EVIDENCE FROM SRI LANKA

Banking industry is a crucial industry in the Sri Lankan economy. With the development of technology, the self-banking concept has been introduced in the island and it has now become an integral part to both customers as well as the banking institutions. Therefore, this study focused on the determinants of the technology based self-banking system in Sri Lanka. The main objective of the study was to identify whether usefulness, ease of use, risk and contribution of banking institutions can be a determinant on the adoption of the self-banking system in Sri Lanka. This research tries to make an extension to the Technology Acceptance Model introduced by Davis, (1989). The quantitative data were gathered using a structured questionnaire and the sample size was 164. Cluster sampling was used. Univariate, bivariate and multivariate analytical methods were applied to analyze the data. The findings of the study revealed that there was a moderately high level of self-banking adoption. Furthermore, there is a significantly strong positive relationship between perceived usefulness and perceived ease of use with the adoption of self-banking, while the risk and contribution of banking institutions imply a weak positive relationship with the adoption of self-banking. On one hand, the Multiple regression analysis recognized that perceived usefulness and perceived ease of use are significant determinants for the adoption of self-banking. On the other hand, the risk and contribution of banking institutions do not determine cause of adoption of self-banking. Moreover, usefulness determines the increment in the adoption level of customers more than the ease of use. According to the results of the study, it can be suggested to the banking authorities to build and maintain self-banking technologies in a way that they would increase the usefulness to the customers.
A standardized database of MIS 5e sea-level proxies in southern Africa (Angola, 4 and

15 Evidence for sea-level change during and around Marine Isotopic Stage (MIS) 5e (ca. 16 125 ka) in southern Africa derives from a wide variety of geomorphic and 17 sedimentological sea-level indicators, supported in the past 2 decades by absolute 18 chronological control, particularly on littoral deposits, some of which have a 19 quantifiable relationship to former sea level. In addition to these proxies, data provided 20 by both terrestrial (dune sediments and archaeological remains) and marine (lagoonal 21 and nearshore littoral sediments) limiting points provide broad constraints on sea level. 22 Here, we review publications describing such data points. Using the framework of the 23 World Atlas of Last Interglacial Shorelines, we insert in a standardized database (DOI: all the elements available to assess former paleo relative 25 sea level, and the chronological constraints associated with them (including 26 uncertainties). Overall, we reviewed 71 studies, from which we extracted 39 sea-level 27 indicators and 26 limiting points. As far as age attribution is concerned, early analysis 28 of molluscs and whole-rock beachrock samples using U-Series allowed dating of several sea-level indicators during the 1980s but the more widespread application of 30 Optically Stimulated Luminescence (OSL) dating since 2004 has yielded many more 31 (and more accurate) sea-level indicators from several sites. This has helped resolve 32 the nature and timing of MIS5e shorelines and has the potential to further elucidate 33 the apparent presence of two or more sea-level peaks at several South African sites
A Hybrid Approach for handling SQLI Vulnerabilities in Web Applications

— Huge volumes of information storage and transfer is conveniently performed through internet using web applications. The web applications are highly vulnerable to injection flaws through which the malicious user/attacker can attack a system. SQLIA is a wide spread injection attack where the malicious user finds the parameter through which he enters the database and corrupt or destroy its contents. This paper discusses about the web application architecture, probable injection vulnerabilities likely to occur in various databases. A hybrid approach to detect and prevent SQLIA is proposed. It also compares the performance with respect to response time and detection trend.
Explaining Psychological Statistics

Preface Preface to the Second Edition: For the Instructor Preface to the Second Edition: For the Student Acknowledgments PART One: DESCRIPTIVE STATISTICS Chapter 1: INTRODUCTION TO PSYCHOLOGICAL STATISTICS Chapter 2: FREQUENCY TABLES, GRAPHS, AND DISTRIBUTIONS Chapter 3: MEASURES OF CENTRAL TENDENCY AND VARIABILITY Chapter 4: STANDARDIZED SCORES AND THE NORMAL DISTRIBUTION PART Two: ONE- AND TWO-SAMPLE HYPOTHESIS TESTS Chapter 5: INTRODUCTION TO HYPOTHESIS TESTING: THE ONE-SAMPLE z TEST Chapter 6: INTERVAL ESTIMATION AND THE t DISTRIBUTION Chapter 7: THE t TEST FOR TWO INDEPENDENT SAMPLE MEANS Chapter 8: STATISTICAL POWER AND EFFECT SIZE PART Three: HYPOTHESIS TESTS INVOLVING TWO MEASURES ON EACH SUBJECT Chapter 9: LINEAR CORRELATION Chapter 10: LINEAR REGRESSION Chapter 11: THE MATCHED t TEST PART Four: ANALYSIS OF VARIANCE WITHOUT REPEATED MEASURES Chapter 12: ONE-WAY INDEPENDENTANOVA Chapter 13: MULTIPLE COMPARISONS Chapter 14: TWO-WAYANOVA PART Five: ANALYSIS OF VARIANCE WITH REPEATED MEASURES Chapter 15: REPEATED MEASURESANOVA Chapter 16: TWO-WAY MIXED DESIGNANOVA PART Six: MULTIPLE REGRESSION AND ITS CONNECTION TO ANOVA Chapter 17: MULTIPLE REGRESSION Chapter 18: THE REGRESSION APPROACH TOANOVA PART Seven: NON PARAMETRIC STATISTICS Chapter 19: THE BINOMIAL DISTRIBUTION Chapter 20: CHI-SQUARE TESTS Chapter 21: STATISTICAL TESTS FOR ORDINAL DATA Appendix A: STATISTICAL TABLES Appendix B: ANSWERS TO SELECTED EXERCISES References Index
RISK LITERACY IN AUTISM SPECTRUM DISORDER 1 Running head: Risk literacy in Autism Spectrum Disorder Parental Risk Literacy Predicts Family Quality of Life in Spanish Families of Children with Autism Spectrum Disorder RISK LITERACY IN AUTISM SPECTRUM DISORDER

Families of children with Autism Spectrum Disorder (ASD) often experience much more negative perceptions of their family quality of life (FQoL). To investigate key factors that may shape these experiences, we conducted a case-control study of sixty-one Spanish families (29 with a child with ASD) using a broad psychosocial assessment (e.g., ASD severity, social support, demographics), including the first direct test of the relationship between FQoL and parental risk literacy (i.e., the ability to evaluate and understand risk, as measured by numeracy). Results revealed that numeracy predicted differences in perceived FQoL among families of children with ASD (R2= .10), a finding that held across a wide range models statistically controlling for the influence of all assessed variables. Findings suggest that parental risk literacy skills may generally be associated with differences in decision making vulnerabilities (e.g., risk evaluation and interpretation) that influence many family outcomes including FQoL.
IMAGE PROCESSING, PATTERN RECOGNITION FaceDetectNet: Face detection via fully-convolutional network

Face detection is one of the most popular computer vision tasks. There are a lot of face detection approaches proposed including different CNN-based techniques, but the problem of optimal balancing between detection quality and computational speed is still relevant. In this paper we propose new CNN-based solution for face detection called FaceDetectNet. Our CNN architecture is based on ideas of YOLO/DetectNet and GoogleNet architecture supported with some new tools and implementation details created especially for our face detection application. We propose: original iterative proposal clustering (IPC) algorithm for aggregation of output face proposals formed by CNN and the 2-level “weak pyramid” providing better detection quality on the testing sets containing both small and huge images. Our face detection approach is close to previously proposed SSD-based face detection, but the principal difference is that we use the deep features of top hidden CNN layer for forming the face proposals of any size. Thus we utilize the global semantic and context information for improving the detection quality for small faces. Our FaceDe-tectNet is trained and tested on the most challenging WIDER FACE detection benchmark. Our al-gorithm achieves the average precision (AP) 0.69 on the WIDER FACE hard level, and thus out-performs all competitive detectors on the Hard level besides the HR state-of-the-art solution. Note that HR solution is based on essentially deeper and slower CNN, while our FaceDetectNet can work in real-time on the NVIDIA GeForce 1080 GPU. On the other hand, SSD-based face detector with comparable CNN parameters provides AP 0.625 only on the WIDER FACE hard level. So, our approach provides the best quality with reasonable computational speed.
Quantum Metrology with Cold Atoms

Quantum metrology is the science that aims to achieve precision measurements by making use of quantum principles. Attribute to the welldeveloped techniques of manipulating and detecting cold atoms, cold atomic systems provide an excellent platform for implementing precision quantum metrology. In this chapter, we review the general procedures of quantum metrology and some experimental progresses in quantum metrology with cold atoms. Firstly, we give the general framework of quantum metrology and the calculation of quantum Fisher information, which is the core of quantum parameter estimation. Then, we introduce the quantum interferometry with single and multiparticle states. In particular, for some typical multiparticle states, we analyze their ultimate precision limits and show how quantum entanglement could enhance the measurement precision beyond the standard quantum limit. Further, we review some experimental progresses in quantum metrology with cold atomic systems.
Embedding lp into 1]'

It is by now well-known that for any l < s < 2 , L,(0, 1) contains a subspace which is isometrically isomorphic to Is. This of course implies that for any m = 1,2 . and any e>0, I m is l+ei somorphic to a subspace of l~ if n=n(e ,s ,m) is sufficiently large. Theorem 1, the result of this paper, states that n can be of order m; i.e., that n can be chosen smaller than fl-lrn for some constant fl=fl(e,s)>O. This complements the theorem of Figiel, Lindenstrauss and Milman [4] (cf. also [2], [3] for a somewhat weaker result) which treated the case s=2. Actually the p roof of Theorem 1 yields more than the above-mentioned result. First, it shows for 0 < s < 2 and 0 < r < s with r~<l, that for every e>0, I m is l+eisomorphic to a subspace of I n if m<. fln, where [3=fl(e, s, r )>0 is a constant independent of n. Secondly, the condition that the range of the isomorphism be l~ can be relaxed. What is needed is that the range be an r-normed space which possesses a basis (ei)i'= 1 so that for all scalars (bi)i"=l,
An Experimental Design of Analyzing 3D Depth felt by users for Functional Game

In this research paper seeks to leverage the change in the 3D image’s Depth level to present 3D Depth level analysis index that will enable users to feel the three-dimensional effect and engagement level most effectively depending on distance and location, and to capitalize the findings to present 3D image control system that can adjust 3D Depth following the three-dimensional effect felt by user for functional game.
A Rice Homeobox Protein KNAT7 Integrates the Pathways Regulating Cell Expansion And Wall Stiffness

47 During growth, plant cells must coordinate cell expansion and cell wall reinforcement by 48 integrating distinct regulatory pathways in concert with intrinsic and external cues. 49 However, the mechanism underpinning this integration is unclear, as few of the regulators 50 that orchestrate cell expansion and wall strengthening have been identified. Here, we 51 report a rice ( Oryza sativa ) Class II KNOX-like homeobox protein KNOTTED 52 ARABIDOPSIS THALIANA7 interacts with different partners to govern cell expansion and 53 wall thickening. A loss-of-function mutation in KNAT7 enhanced wall mechanical strength 54 and cell expansion, resulting in improved lodging resistance and grain size. 55 Overexpression of KNAT7 gave rise to the opposite phenotypes, with plants having weaker 56 cell walls and smaller grains. Biochemical and gene expression analyses revealed that rice 57 KNAT7 interacts with a secondary wall key regulator, NAC31, and a cell growth master 58 regulator, GROWTH-REGULATING FACTOR 4 (GRF4). The KNAT7-NAC31 and 59 KNAT7-GRF4 modules suppressed regulatory pathways of cell expansion and wall 60 reinforcement, as we show in internode and panicle development. These modules function 61 in sclerenchyma fiber cells and modulate fiber cell length and wall thickness. Hence, our 62 study uncovers a mechanism for the combined control of cell size and wall strengthening, 63 providing a tool to improve lodging resistance and yield in rice production. 64 cell expansion in the mutant; overexpression of KNAT7 gave rise to the opposite effects. KNAT7 interacted with the secondary wall key regulator NAC31 and the master cell growth factor GRF4 to repress their downstream regulatory pathways. These findings suggest that rice KNAT7 plays an integrative role to coordinate cell size and wall stiffness. Therefore, this study provides insight into the combinatorial control of cell growth and may be instrumental in synergistically improving agronomic traits, especially grain size (and thus yield) and stem strength (and thus resistance of lodging) in crop breeding.