Miracle-dz/UniFAR-FTUs huggingface dataset:
1 Complex Principal Component Analysis of Mass Balance Change on Qinghai-Tibet Plateau

This paper reveals how climate changes affect spatial mass balance change across the Qinghai-Tibet Plateau. Such change is obtained using 153 monthly solutions of temporal gravity data from the Gravity Recovery and Climate Experiment satellite. Spatial mode, spatial phase distribution and principal components of the change are derived using 10 complex principal component analysis. Time evolution of the major components is examined by wavelet analysis. Complex principal component analysis (particularly phase distribution) shows the trajectory of each factor that affects mass balance in the region, and the wavelet analysis shows time-frequency correlation between mass balance change and various atmospheric circulations. The first spatial mode indicates that mass change in the eastern Himalayas, Karakoram Pamirs and northwestern India was most sensitive to first principal component variation, which was 15 responsible for 54.02% of that change. Correlation analysis shows that the first principal component is related to the Indian monsoon and the correlation coefficient is 0.828. The second spatial mode indicates that mass change on the eastern Qinghai plateau, eastern Himalayas-Qiangtang Plateau-Pamirs and northwestern India was most sensitive to variation of the second major factor, responsible for 16.38%. Correlation analysis also indicates that the second major component is associated with El Niño, the correlation coefficient is 0.302, almost twice as large as the 95% confidence 20 level of 0.167. The third spatial mode shows that mass change on the western and northwestern QTP was most sensitive to climate change of its third major component, responsible for 5.64% of mass balance change. The third component may be associated with climate change from the westerlies and La Niña, because the third component and El Niño have similar signals of 6.5-yr period and opposite phase.
Robust Parsing for Ungrammatical Sentences

Natural Language Processing (NLP) is a research area that specializes in studying computational approaches to human language. However, not all of the natural language sentences are grammatically correct. Sentences that are ungrammatical, awkward, or too casual/colloquial tend to appear in a variety of NLP applications, from product reviews and social media analysis to intelligent language tutors or multilingual processing. In this thesis, we focus on parsing, because it is an essential component of many NLP applications. We investigate in what ways the performances of statistical parsers degrade when dealing with ungrammatical sentences. We also hypothesize that breaking up parse trees from problematic parts prevents NLP applications from degrading due to incorrect syntactic analysis. A parser is robust if it can overlook problems such as grammar mistakes and produce a parse tree that closely resembles the correct analysis for the intended sentence. We develop a robustness evaluation metric and conduct a series of experiments to compare the performances of state-of-the-art parsers on the ungrammatical sentences. The evaluation results show that ungrammatical sentences present challenges for statistical parsers, because the well-formed syntactic trees they produce may not be appropriate for ungrammatical sentences. We also define a new framework for reviewing the parses of ungrammatical sentences and extracting the coherent parts whose syntactic analyses make sense. We call this task parse tree fragmentation. The experimental results suggest that the proposed overall fragmentation framework is a promising way to handle syntactically unusual sentences.
Repository Tweeting your mental health : Exploration of different classifiers and features with emotional signals in identifying mental health conditions

Applying simple natural language processing methods on social media data have shown to be able to reveal insights of specific mental disorders. However, few studies have employed fine-grained sentiment or emotion related analysis approaches in the detection of mental health conditions from social media messages. This work, for the first time, employed fine-grained emotions as features and examined five popular machine learning classifiers in the task of identifying users with selfreported mental health conditions (i.e. Bipolar, Depression, PTSD, and SAD) from the general public. We demonstrated that the support vector machines and the random forests classifiers with emotion-based features and combined features showed promising improvements to the performance on this task.
A N INTEGRATED SURVEY WITH MOBILE MAPPING

The digitization is the first feat of safety, knowledge and management of Cultural Heritage. The technological development has produced a complexity increase to manage the big data acquired. This paper shows the best practices for the digitization of a museum (National Gallery of Marche), hosted in a historical and complex building: it’s a problem of contents and “container” (the Urbino Ducal Palace = a city in the appearance of a Palace). This is the case study of the first challenging aim of the CIVITAS project. The digitization workflow has combined the several sensors and technology at different scales, such as static and mobile wearable laser scanners systems, the different focals for internal and external cameras, 360 panoramas and HD images. The goal achieved is the new 3D digital model, validated and with high accuracy, containing big 3D data, as starting point of HBIM, Serious Games, VR/AR applications.
Issues in the acquisition , processing , reduction and parameterization of articulographic data

This report will give an overview of the chain of procedures involved in acquiring reliable articulographic data, up to the point at which parameters have been extracted and are available for statistical processing. The topics to be covered are divided into two groups. The first group involves procedures that are common to virtually any articulographic investigation. The second group uses the DFG project "Deutsche Vokale" as a specific example to illustrate procedures for extracting parameters from the raw articulographic signal streams.
The Ecosystem Demography Model , version 2 . 2-Part 1 : Model description

IB Comment 01: Larger Impressions. This paper describes the code used in ED2.2. That’s pretty much it. There isn’t really any ‘new science’ here, and in fact any text not devoted to explaining equations is just showing that the model gives reasonable results and conserves energy (there are a few paragraphs showing differences in size/age distributions for two tropical sites with different disturbance regimes). It can be hard to get a paper like this through review, but the authors are lucky to have me for a reviewer. I know the value of papers like this (e.g. the BATS NCAR Technical Manual by Dickinson et al., the LSM Technical Note by Bonan, and the Sellers SiB papers from 1986 and 1996). However, the people reviewing the methods paper want to see results, and vice versa, and they want the paper to be short. But these ‘code papers’ have value for the people who use models, and I appreciate that because I am one of them.
HEALTH AND ENVIRONMENTAL APPLICATIONS OF GUT MICROBIOME: A REVIEW ZDROWOTNE I ŚRODOWISKOWE ZASTOSOWANIE MIKROBIOTY JELITOWEJ: PRZEGLĄD LITERATURY

Life on Earth harbours an unimaginable diversity of microbial communities. Among these, gut microbiome, the ecological communities of commensal , ymbionts (bacteria and bacteriophages) are a uni que assemblage of microbes. This microbial population o f animal gut helps in performing organism’s physiol ogical processes to stay healthy and fit. The role of thes e microbial communities is immense. They continuall y maintain interrelation with the intestinal mucosa in a subtl e equilibrium and help the gut for different functi ons ranging from metabolism to immunologic functions like upgra dation of nutrient-poor diets, aid in digestion of recalcitrant food components, protection from pathogens, contrib ute to interand intra-specific communication, aff ecting the efficiency as disease vectors etc. The microbial di versity in the gut depends upon environmental compe tition between microbes, their sieving effects and subsequ ent elimination. Due to wide diversity of anatomy a nd physiology of the digestive tracts and food habits, the gut microbiome also differs broadly among anim als. Stochastic factors through the history of colonizat ion of the microbiome in a species and in situ evolution are likely to establish interspecies diversity. Moreove r, the microbes offer enormous opportunity to disco ver novel species for therapeutic and/or biotechnological app lications. In this manuscript, we review the availa ble knowledge on gut microbiome, emphasising their role in health and health related applications in human .
Title Hbp 1 regulates the timing of neuronal differentiation duringcortical development by controlling cell cycle progression

In the developing mammalian brain, neural stem cells (NSCs) initially expand the progenitor pool by symmetric divisions. NSCs then shift from symmetric to asymmetric division and commence neurogenesis. Although the precise mechanisms regulating the developmental timing of this transition have not been fully elucidated, gradual elongation in the length of the cell cycle and coinciding accumulation of determinants that promote neuronal differentiation might function as a biological clock that regulates the onset of asymmetric division and neurogenesis.We conducted gene expression profiling of embryonic NSCs in the cortical regions and found that expression of high mobility group box transcription factor 1 (Hbp1) was upregulated during neurogenic stages. Induced conditional knockout mice of Hbp1, generated by crossing with Nestin-CreER mice, exhibited a remarkable dilatation of the telencephalic vesicles with a tangentially expanded ventricular zone and a thinner cortical plate containing reduced numbers of neurons. In these Hbp1-deficient mouse embryos, neural stem/ progenitor cells continued to divide with a shorter cell cycle length. Moreover, downstream target genes of the Wnt signaling, such as cyclin D1 (Ccnd1) and c-jun (Jun), were upregulated in the germinal zone of the cortical regions. These results indicate that Hbp1 plays a crucial role in regulating the timing of cortical neurogenesis by elongating the cell cycle and that it is essential for normal cortical development.
Modular configuration and reconfiguration concept for the implementation of adaptable processes in human-robot-cooperation

The design of automated assembly processes is facing significant challenges due to shortened product lifecycles, increased product variances, highly customized products and fluctuating markets. The current assembly systems are unable to handle the increased requirements for mass customization, so they need to be optimized with new technologies. Human-robot collaboration has evolved as a solution to overcome these difficulties and create adaptable and customizable automation processes. To simplify the configuration of adaptable, automated processes, the integration of these processes into the assembly line and to expand the range of applications, a concept for these tasks is introduced. This paper presents a modular concept for configuration and reconfiguration of adaptable automated processes, based on a modular control concept. This will enhance the flexibility and adaptability of assembly systems. Keywords— Adaptable Automation, Assembly, Assembly system design, Adaptability, Configuration, Flexibility, Humanrobot-cooperation, Industry 4.0, Production planning and control, Process configuration and reconfiguration, Reconfiguration
Recent Advances in Determinations ofNanomedicine and Nanotechnology

Scientific understanding through the millennia has come from studying things first as they present themselves in the natural world and then from studying and understanding their subcomponents at ever smaller scales and then finer levels of detail. Nanotechnology is a broad field of modern sciences and also engineering which creates potentially the endless possibilities. This term was first time used in 1974 by the Japanese scientist Norio Taniguchi according to him the definition of nanotechnology was that it mainly consists of the processing of separation, consolidation, and deformation of materials by one atom or one molecule” [1]. The prefix “nano” refers to one-billionth. So, the term nanotechnology (nanoscience) is now commonly used to refers to the creation of new objects with nanoscale dimensions between 1.0 and 100.0nm or one billion of meter (10-9m) [2-4]. The term also conceptually implies the ability to manipulate individual atoms or molecules as the building blocks of man-made nanoscale structures [5]. Nowadays, nanotechnology is an interdisciplinary field involving issues of precision mechanics, biology, electronics, materials science, physics, chemistry, electromechanical systems as well as the use of biomedicine and bioengineering for drug or gene therapy application.
Jumping Caveman: A Tool for Manipulating Player Experience and Answering Questions in Games Research

Standard tools exist for assessing player experience; however, there are few tools for inducing play experiences. Game researchers without the resources to operationalize an experimental factor of interest as an implemented mechanic in the design of a custom game are therefore limited in the types of controlled experiments they can conduct. Modifying an existing off-the-shelf game leverages the design and resources of game studio development, but researchers are limited in what type of questions they can ask due to the lack of access control on the source code. We present an open-source system that can be used by game researchers to manipulate player experience in a reliable way and at a finer time resolution than has previously been reported. We simulate the experience of success and failure by providing covert assistance or hindrance to a player, as this has been shown to reliably affect player experience measures. Through three studies, we show that the system manipulates experience in an intended and predictable way. With our system, researchers can also modify the experiment design through simple configuration interface which allows them to quickly create experiment conditions even if they do not possess technical knowledge of game development. There are many research questions that revolve around the experience of in-game success or failure and our tool allows researchers to ask and answer interesting questions in games research through controlled experiments.
Assessment of global climate change impacts on labour productivity Draft , do not circulate April 2019

This study assesses the impact of climate change on outdoor labour productivity at the regional-scale and across the globe. It uses five impact models that describe observed relationships between labour productivity and temperature, with climate model simulations from five Global Climate Models (GCMs) under a high emissions scenario (RCP8.5), i.e. 25 climate-impact model combinations. To the authors' best knowledge this is the first assessment of the heat stress and labour productivity to use multiple impact models with multiple climate models. Impacts are estimated for the end of the century (2070-2099) and near-term (2021-2050), relative to present-day (1981-2010). Impacts are assessed without adaptation. Globally, at the end of the century, the spread in the magnitude of decline in labour productivity across all 25 climate model-impact model combinations is 2-21%. The impacts of climate change are felt heterogeneously across the globe. At the end of the century the greatest impacts are projected for Mexico, Central America and the Caribbean, and South Africa, where the spreads are 3-32%, 2-32% and 3-31% respectively. The UK and Ireland, and northern Europe, experience the lowest impacts: 0-11% and 0-13% respectively. Economic implications assessed under a static-comparative framework indicate that mean annual global GDP losses could reach 0.2% in the 2030s and 0.6% by the end of the century. The respective welfare losses are estimated at 0.3% and 1%, respectively. The mean values hide significant heterogeneity across global regions, socio-economic characteristics and the 25-member ensemble of impact projections. An important conclusion is that the magnitudes of climate uncertainty and impact model uncertainty are comparable for most regions. For example, for India at the end of the century, for one impact model the spread of the decline in labour productivity is 13-22% across climate models; whilst for one climate model, the spread is 3-27% across different impact models. For several regions of the globe, impact model uncertainty is larger than climate model uncertainty. It is strongly recommended, therefore, that future assessments use multiple impact models to sample some of the range in uncertainty that can arise from using different impact models.
The role of psychological factors on prediction of disturbance in daily activities among patients with chronic pain

Introduction: It’s important to study chronic pain as a comprehensive physical problem. Studies demonstrated emotions and regulation of them, cognitive components, self-efficacy and inflexible pattern of behavior can affect the pain severity and disturbance in daily activities. The aim of this research is to determine predictive variables on disturbance in daily activities in patients with chronic pain. Materials and Methods: In this descriptive-correlational study, a sample of 345 patients with chronic pain who referred to pain, rheumatoid and acupuncture clinics (Mashhad-Iran) was selected through convenient method. The patients completed these questionnaires: Pain Inflexibility (PIPS), Emotion Regulation (ER), Attachment Styles (RQ), Pain Self-efficacy (PSEQ) and multi facet pain questionnaire. Data analyzed by descriptive statistics, Pearson coefficient, step by step regression and SPSS software version 24. Results: The relation of predictive variablesattachment styles, emotion regulation (reappraisal and suppression) self-efficacy and inflexibility-with disturbance in daily function was significant (P=0.01). Regression analysis showed that inflexibility, reappraisal, secure attachment and self-efficacy are the best predictors of disturbance daily activities in patients with chronic pain. Conclusion: Based on the results, the predictors explain 34% of variance of disturbance daily activities. So, it’s essential to consider psychological variables in planning of therapeutic intervention in patients with chronic pain.
Concentration and application methods of liquid smoke for exotic smoked

Smoked Skipjack (Katsuwonus pelamis L.) locally called “Cakalang fufu” is one of the Tuna products in North Sulawesi. It is potential to be exported, but the problems are the processing still traditional, and product contained high content of Polycyclic Aromatic Hydrocarbon (PAH). Therefore, it is important to rationalize the processing using liquid smoke. The aims of this study were to develop the best smoking method and the best liquid smoke concentration. Three concentrations of liquid smoke used (A) were: 0.4% (A1), 0.6% (A2), and 0.8% (A3). Three different application methods of liquid smoke (B) were: fresh fillets were dipped in liquid smoke with three concentrations (A1, A2, and A3) for 20 mins, then heated at 70-80oC for 4 hr (B1), fresh fillet were heated at 70-80oC for 1hr, dipped in liquid smoke with the same way as B1, and then heated again at 70-80oC for 4hr (B2), fresh fillet were steamed at 95-100oC for 30 mins, dipped in liquid smoke with the same way as B1 and then heated at 70-80oC for 4hr (B3). Analysis were done for water content, phenol content, pH, PAH, and sensory characteristics (appearance, flavor, taste, and texture). The results showed that the best formulation method was the fresh fillet heated at 70-80oC for 1hr, dipped in 0.8% liquid smoke, and then heated again at 70-80oC for 4 hr, which have water content 47.63%, phenol content 12.62%, pH 4.8, and sensory assessments for appearance 7.2, flavor 8.3, taste 7.7, and texture 6.46. Analysis of PAH showed that stock of liquid smoke, and liquid smoke with concentration of 0.8%, and liquid smoked fillet samples contained benzo(a)pyrene < 0.25 ppb.
1 Polyphenol-Enriched Plum Extract Enhances 2 Myotubule Formation and Anabolism while 3 Attenuating Colon Cancer-induced Cellular Damage 4 in C 2 C 12 Cells . 5

Preventing muscle wasting in certain chronic diseases including cancer is an ongoing 17 challenge. Studies have shown that polyphenols derived from fruits and vegetables show promise 18 in reducing muscle loss in cellular and animal models of muscle wasting. We hypothesized that 19 polyphenols derived from plum (Prunus domestica) could have anabolic and anti-catabolic benefits 20 on skeletal muscle. The effects of a polyphenol-enriched plum extract (PE60) were evaluated in vitro 21 on C2C12 and Colon-26 cancer cells. Treatment of myocytes with plum extract increased the cell 22 size by ~3-fold (p<0.05) and stimulated myoblast differentiation by ~2-fold (p<0.05). Plum extract 23 induced total protein synthesis by ~50% (p<0.05), reduced serum deprivationinduced total protein 24 degradation by ~30% (P<0.05), and increased expression of IGF-1 by ~2-fold (p<0.05). Plum extract 25 also reduced TNFα-induced NFB activation by 80% (p<0.05) in A549/NFkB-luc cells. In addition, 26 plum extract inhibited growth of Colon-26 cancer cells, and attenuated cytotoxicity in C2C12 27 myoblasts induced by soluble factors released from Colon-26 cells. In conclusion, our data suggest 28 that plum extract may have pluripotent health benefits on muscle based on its demonstrated ability 29 to promote myogenesis, stimulate muscle protein synthesis, and inhibit protein degradation. It also 30 appears to protect muscle cell from tumor-induced cytotoxicity. 31
Predicting Fuel Poverty at Small Area Level

Introduction The purpose of this report is to outline the best method of predicting the likely extent of ‘fuel’ poverty at small area (electoral ward) level using 1991 Census data. Fuel poverty is defined in two different ways: firstly, as actually spending 10% or more of normal weekly net household income on fuel, light and power and, secondly, as needing to spend 10% or more of normal weekly net household income on fuel, light and power.