Miracle-dz/UniFAR-FTUs huggingface dataset:
Syntactic Requirements on Adjuncts

The paper proposes structural constraints for different adjunct classes in German and English. Approaches in which syntax has only the task to provide adjunct positions and in which principles of scope are supposed to explain the distribution of adjuncts are rejected as incomplete. The syntactic requirements are not as rigid as other approaches require, such that there is just one possible position for a given adjunct. Rather the syntactic constraints may be fulfilled in different positions.
Spec Tool; an online education and research resource

Abstract. Education and public outreach (EPO) activities related to remote sensing, space, planetary and geo-physics sciences have been developed widely in the Earth and Planetary Image Facility (EPIF) at Ben-Gurion University of the Negev, Israel. These programs aim to motivate the learning of geo-scientific and technologic disciplines. For over the past decade, the facility hosts research and outreach activities for researchers, local community, school pupils, students and educators. As software and data are neither available nor affordable, the EPIF Spec tool was created as a web-based resource to assist in initial spectral analysis as a need for researchers and students. The tool is used both in the academic courses and in the outreach education programs and enables a better understanding of the theoretical data of spectroscopy and Imaging Spectroscopy in a 'hands-on' activity. This tool is available online and provides spectra visualization tools and basic analysis algorithms including Spectral plotting, Spectral angle mapping and Linear Unmixing. The tool enables to visualize spectral signatures from the USGS spectral library and additional spectra collected in the EPIF such as of dunes in southern Israel and from Turkmenistan. For researchers and educators, the tool allows loading collected samples locally for further analysis.
Development of functional powder from dragon fruit and taro leaves

The present work was undertaken with the objective of development of functional (nutritional) powder by using dragon fruit and taro leaves. Taking into consideration therapeutic and nutritional value of dragon fruit and taro leaves were decided into the preparation of functional powder. Dragon fruit powder and taro leaves powder were prepared by freeze drying and tray drying respectively. The level of dragon fruit powder and taro leaves powder was optimized RSM through. The Functional powder containing 80.68% Dragon fruit powder, 7.67% Taro leave powder and 20% Sugar was acceptable on sensory basis and showed a good antioxidant properties. The selected concentration was evaluated for sensory analysis, and physico-chemical. The Functional powder contains vitamin C, minerals, fibers and valuable bioactive compounds. Functional powder has major active constituents like protein (19.34/100g), carbohydrate (74.67/100 g), ash content is 1.16 (w/w), crude fiber (4.98/100g), Vitamin C (8.5mg/100g), polyphenols (178.06 ug/ml), Flavonoids (225.62 ug/ml). These powder possess various activities such as, antioxidant, anticancer, antifungal, curing of various diseases like cancer, cardiovascular disease, Coronary heart disease etc. Thus it can be recommended that Functional powder can be potentially used to improve health condition. It indicates that Functional powder should be further investigated in terms of possible applications in developing functional and nutritional food products.
p53: TUMOUR PROGRESSION AND THERAPY MARKER

TP53 is tumour suppressor gene located on chromosome region 17p13. It codes protein p53 that is responsible for cell growth regulation through inhibition of the cell cycle or promotion of apoptosis. Stress caused by DNA damage, different aberrant growth signals from the environment and expression of various oncogenes influence p53 expression and activation in both normal and cancer cells. Tumours with different cell of origin, tumours developed in different localisations and the ones present in different stages of progression often harbour p53 aberration. In chronic lymphocytic leukaemia TP53 mutation and deletion have an impact on therapy response and overall response. In myeloid neoplasms p53 can be involved in disease development mechanism, but in aberrant form it can also contribute to the progression of otherwise favourable form of the disease. It’s most known role is the one in colorectal carcinoma where it represents final step of malignant neoplasm development – transition from adenoma to carcinoma. This article gives a review of p53 function in normal and neoplastic cells with special emphasis on its usefulness as a tumour marker.
Neural activity changes in first-episode, drug-naïve patients with major depressive disorder after transcutaneous auricular vagus nerve stimulation treatment: A resting-state fMRI study

Introduction Major depressive disorder (MDD) is a disease with prominent individual, medical, and economic impacts. Drug therapy and other treatment methods (such as Electroconvulsive therapy) may induce treatment-resistance and have associated side effects including loss of memory, decrease of reaction time, and residual symptoms. Transcutaneous auricular vagus nerve stimulation (taVNS) is a novel and non-invasive treatment approach which stimulates brain structures with no side-effects. However, it remains little understood whether and how the neural activation is modulated by taVNS in MDD patients. Herein, we used the regional homogeneity (ReHo) to investigate the brain activity in first-episode, drug-naïve MDD patients after taVNS treatment. Materials and methods Twenty-two first-episode, drug-naïve MDD patients were enrolled in the study. These patients received the first taVNS treatment at the baseline time, and underwent resting-state MRI scanning twice, before and after taVNS. All the patients then received taVNS treatments for 4 weeks. The severity of depression was assessed by the 17-item Hamilton Depression Rating Scale (HAMD) at the baseline time and after 4-week’s treatment. Pearson analysis was used to assess the correlation between alterations of ReHo and changes of the HAMD scores. Two patients were excluded due to excessive head movement, two patients lack clinical data in the fourth week, thus, imaging analysis was performed in 20 patients, while correlation analysis between clinical and imaging data was performed in only 18 patients. Results There were significant differences in the ReHo values in first-episode, drug-naïve MDD patients between pre- or post- taVNS. The primary finding is that the patients exhibited a significantly lower ReHo in the left/right median cingulate cortex, the left precentral gyrus, the left postcentral gyrus, the right calcarine cortex, the left supplementary motor area, the left paracentral lobule, and the right lingual gyrus. Pearson analysis revealed a positive correlation between changes of ReHo in the right median cingulate cortex/the left supplementary motor area and changes of HAMD scores after taVNS. Conclusion The decreased ReHo were found after taVNS. The sensorimotor, limbic and visual-related brain regions may play an important role in understanding the underlying neural mechanisms and be the target brain regions in the further therapy.
FZD10 regulates cell proliferation and mediates Wnt1 induced neurogenesis in the developing spinal cord

Wnt/FZD signalling activity is required for spinal cord development, including the dorsal-ventral patterning of the neural tube, where it affects proliferation and specification of neurons. Wnt ligands initiate canonical, β-catenin-dependent, signaling by binding to Frizzled receptors. However, in many developmental contexts the cognate FZD receptor for a particular Wnt ligand remains to be identified. Here, we characterized FZD10 expression in the dorsal neural tube where it overlaps with both Wnt1 and Wnt3a, as well as markers of dorsal progenitors and interneurons. We show FZD10 expression is sensitive to Wnt1, but not Wnt3a expression, and FZD10 plays a role in neural tube patterning. Knockdown approaches show that Wnt1 induced ventral expansion of dorsal neural markes, Pax6 and Pax7, requires FZD10. In contrast, Wnt3a induced dorsalization of the neural tube is not affected by FZD10 knockdown. Gain of function experiments show that FZD10 is not sufficient on its own to mediate Wnt1 activity in vivo. Indeed excess FZD10 inhibits the dorsalizing activity of Wnt1. However, addition of the Lrp6 co-receptor dramatically enhances the Wnt1/FZD10 mediated activation of dorsal markers. This suggests that the mechanism by which Wnt1 regulates proliferation and patterning in the neural tube requires both FZD10 and Lrp6.
Critical slowing as a biomarker for seizure susceptibility

The human brain has the capacity to rapidly change state, and in epilepsy these state changes can be catastrophic, resulting in loss of consciousness, injury and even death. Theoretical interpretations considering the brain as a dynamical system would suggest that prior to a seizure recorded brain signals may exhibit critical slowing, a warning signal preceding many critical transitions in dynamical systems. Using long-term intracranial electroencephalography (iEEG) recordings from fourteen patients with focal epilepsy, we found key signatures of critical slowing prior to seizures. Signals related to a critically slowing process fluctuated over temporally long scales (hours to days), longer than would be detectable in standard clinical evaluation settings. Seizure risk was associated with a combination of these signals together with epileptiform discharges. These results provide strong validation of theoretical models and demonstrate that critical slowing is a reliable indicator that could be used in seizure forecasting algorithms.
Wearable Device for Sitting Up Support of Parkinson Patients

Parkinson disease, a degenerative brain disorder, affects many people worldwide. In Japan in 2011, 116,536 patients had symptoms and brain dysfunction commonly associated with Parkinsonism [1]. Moreover, Parkinson disease is an increasingly common neurological disorder in an aging society. The most common characteristic clinical signs are tremor, muscular rigidity, postural instability, bradykinesia, and hypokinesia caused by a loss of brain dopaminergic neurons [2]. Disabilities of the neck and trunk prevent the upper body from moving freely. Consequently, a person with Parkinson disease has difficulty with turning motion on a bed. Various devices and robots have been developed for nursing care. Some electronic nursing beds have functions for adjustment of the backrest, footrest, and height. A person can rise from a supine position but sitting on the bed and putting the legs down on the floor is difficult to because a person has difficulty with turning motion. Therefore, leaving the bed independently is troublesome for Parkinson patients. Noritsugu developed a mat that can prevent bedsores [3]. A user’s body is supported by 24 independently controlled balloon-like
Remoting Patterns Foundations Of Enterprise Internet And Realtime Distributed Object Middleware

Thank you for downloading remoting patterns foundations of enterprise internet and realtime distributed object middleware. As you may know, people have look hundreds times for their favorite readings like this remoting patterns foundations of enterprise internet and realtime distributed object middleware, but end up in malicious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they are facing with some harmful virus inside their computer.
Weed seed availability, carabid intraspecific interference and their interaction drive weed seed consumption by carabid beetles

Carabid beetles may play a role in the regulation of arable weeds, when seed predation is directly density‐dependent and consumption increases more than proportionally with seed density. We quantified the effect of seed and carabid density on consumption by two carabid species (Poecilus cupreus and Harpalus affinis) of the weed species Taraxacum officinale and Viola arvensis. For each pairing of carabid and weed species, we quantified per capita seed mortality (PCSM) over 72 h under combinations of low and high densities of carabids and seeds, aiming to assess whether per capita consumption increased more or less than proportionally with seed density. We tested three hypotheses: (i) PCSM is constant as seed availability increases; (ii) for a fixed seed density, PCSM decreases with increasing numbers of carabid conspecifics; and (iii) the response of PCSM changes with the interaction between seed and carabid density. Without intraspecific competition, we detected a seed density‐independent predation effect, which became inverse density‐dependent over time. At similar seed densities, the presence of conspecific carabids did not affect PCSM, although it led to a faster shift towards inverse density dependence in T. officinale. The findings of the present study suggest that a sufficiently large carabid numerical response might lead to direct predation density‐dependence.
Architecture Support for Operating System Survivability and Efficient Bulk Memory Copying and Initialization

JIANG, XIAOWEI. Architecture Support for Operating System Survivability and Efficient Bulk Memory Copying and Initialization. (Under the direction of Professor Yan Solihin). Operating System (OS) is the fundamental layer that provides and mediates accesses to a computer system’s resources for user application programs. The ever increasing size and complexity of the OS code bring the inevitable increase in the number of security vulnerabilities that can be exploited by attackers. A successful security attack on the OS has a profound impact because the OS runs at the highest processor privilege level. An OS kernel crash can freeze the entire system, terminate all running processes, and cause a long period of system unavailability. Given the increasing trend of OS security faults and the dire consequences of successful OS kernel attacks, we strive to make the OS kernel survivable, i.e. able to keep normal system operation despite security faults. This works makes several contributions. First, we propose an OS survivability scheme that consists of three inseparable components: (1) Security attack detection mechanism, (2) security fault isolation mechanism, and (3) recovery mechanism that resumes normal system operation. We analyze the underlying performance requirement for each of the components and propose simple but carefully-designed architecture support to reduce the performance overhead. When testing with real world security attacks, our survivability scheme automatically isolates the security faults from corrupting the kernel state or affecting other executing processes, recovers the
Genomic insights into the genetic structure and population history of Mongolians in Liaoning Province

The Mongolian population exceeds six million and is the largest population among the Mongolic speakers in China. However, the genetic structure and admixture history of the Mongolians are still unclear due to the limited number of samples and lower coverage of single-nucleotide polymorphism (SNP). In this study, we genotyped genome-wide data of over 700,000 SNPs in 38 Mongolian individuals from Fuxin in Liaoning Province to explore the genetic structure and population history based on typical and advanced population genetic analysis methods [principal component analysis (PCA), admixture, FST, f 3 -statistics, f 4 -statistics, qpAdm/qpWave, qpGraph, ALDER, and TreeMix]. We found that Fuxin Mongolians had a close genetic relationship with Han people, northern Mongolians, other Mongolic speakers, and Tungusic speakers in East Asia. Also, we found that Neolithic millet farmers in the Yellow River Basin and West Liao River Basin and Neolithic hunter–gatherers in the Mongolian Plateau and Amur River Basin were the dominant ancestral sources, and there were additional gene flows related to Eurasian Steppe pastoralists and Neolithic Iranian farmers in the gene pool of Fuxin Mongolians. These results shed light on dynamic demographic history, complex population admixture, and multiple sources of genetic diversity in Fuxin Mongolians.
The Consumer Journey in the Digital Age - The Challenges Faced by Destination and Place Marketing Agencies

This conceptual paper evolved from an extensive literature review and a consultancy project conducted via a UK University Business School/commercial sector collaboration. The paper explores how the digital age is presenting challenges for destination and place marketing agencies. Key trends in consumer behaviour are identified and their significance is examined. The context is largely the European tourism sector with a particular focus on the UK. The paper argues that many place and destination marketing agencies are not responding to the challenges of the digital era. With this as the backdrop, a novel conceptualisation of the customer journey model is offered which can be tested empirically. A vignette supports the model and this illustrates the complexities in consumer behaviour that are involved in a decision over where to take a city break. The paper concludes with strategic recommendations for destination and place marketing agencies.
Facial expression recognition based on adaptively weighted improved local binary pattern

In order to fully describe the texture informations of the image, and to distinguish the sub-regions which contain different texture informations, this paper proposes a method of facial expression recognition based on adaptively weighted improved Local Binary Pattern (LBP). Firstly, the whole face region and expression sub-regions of eyebrows, eyes, nose and mouth are isolated by preprocessing. Secondly, the features of the sub-regions are extracted by improved LBP, the Fisher Linear Discriminant (FLD) is applied to calculated the weights of sub-regions, and then the weighted histograms of expression sub-regions are fused as the histogram of facial expression feature. Finally, the fused features are classified by Support Vector Machine (SVM). The experiments are performed on JAFFE and Extended Cohn-Kanada database(CK+), and the experimental results demonstrate that the proposed method has better recognition performance.
Trade-offs in data representations for learner models in interactive simulations

ii Preface . iii Table of Contents . iv List of Tables . vi List of Figures . vii Acknowledgements . viii 1 Introduction . 1 1.1 Thesis Goals and Approach . 2 1.2 Contributions . 3 1.3 Outline . 3 2 Related Work . 4 3 The CCK Simulation . 7 4 User Study . 9 5 User Modeling Framework . 11 6 Representing the User Actions . 13 6.1 Structured Representation of Action Events . 13 6.2 Generating Feature Sets for the Student-Modeling Framework . 17 7 Evaluating Representations for Assessment and Support . 21 7.1 Quality of the Clusters . 21 7.2 Classification Accuracy . 23 7.2. 1 Classification Accuracy at End of Interaction . 23 7.2. 2 Classification Accuracy Over time . 25 7.3 Usefulness for Providing Adaptive Support . 30
Challenges and possibilities for Design Based Research with semantic web technology

This paper addresses the first conference theme of Theories, methodologies, perspectives and paradigms for Research in Networked Learning. The three key themes of the symposium (Designs for learning with the Semantic Web) are discussed by exploring the methodological challenges and advantages that one may experience when conducting design based research with emergent technology. In particular, when technological solutions are developed more or less from scratch, simultaneously and in interaction with the pedagogical practices which make use of these solutions. The outset for this paper is a Design Based Research (DBR) project, which we are currently carrying out at a Danish high school. The project involves development of technological tools based on semantic web (web 3.0) technology. These tools are developed simultaneously and in interaction with the pedagogical practices utilizing the tools. We seek to address the aforementioned main question of the paper by, first, reviewing the stages of DBR-processes as presented by Amiel & Reeves (2008), second, presenting the specific DBR project which is our outset, and third presenting a set of methodological challenges and advantages we have experienced in our work on this project. Through the discussion presented in this paper, we draw attention to several noteworthy challenges and advantages of developing and utilizing emergent-technology-based tools in DBR. Some of these challenges concern the potentially intangible nature of emergent technology and the difficulty of communicating the potentials of the technology to practitioners and other involved parties. Other challenges are more strongly connected with the practical development process. Similarly, we explore noteworthy advantages such as emergent technology potentially granting a greater level of creative freedom in development of solutions and tools while greatly encouraging teacher and student involvement in the development process. This further provides an opportunity for a stronger focus on designing with practice in mind. In addition, the paper argues that DBR projects like the one described in this paper, are actually paradigmatic for investigation of educational contexts in rapid technological and pedagogical change because they not only take this change into account, but fundamentally and significantly build on them.
Climate change amplifies plant invasion hotspots in Nepal

Climate change has increased the risk of biological invasions, particularly by increasing the climatically suitable regions for invasive alien species. The distribution of many native and invasive species has been predicted to change under future climate. We performed species distribution modelling of invasive alien plants (IAPs) to identify hotspots under current and future climate scenarios in Nepal, a country ranked among the most vulnerable countries to biological invasions and climate change in the world.
How sensitive is functional connectivity to electrode resampling on intracranial EEG? Implications for personalized network models in drug-resistant epilepsy

Focal epilepsy is a clinical condition arising from disordered brain networks. Network models hold promise to map these networks, localize seizure generators, and inform targeted interventions to control seizures. However, incomplete sampling of epileptic brain due to sparse placement of intracranial electrodes may profoundly affect model results. In this study, we evaluate the robustness of several published network measures applied to intracranial electrode recordings and propose an algorithm, using network resampling, to determine confidence in model results. We retrospectively subsampled intracranial EEG data from 28 patients who were implanted with grid, strip, and depth electrodes during evaluation for epilepsy surgery. We recalculated global and local network metrics after both randomly and systematically resampling subsets of intracranial EEG electrode contacts. We found that sensitivity to incomplete sampling varied significantly across network metrics, and that this sensitivity was independent of the distance of removed contacts from the seizure onset zone. We present an algorithm, using random resampling, to compute patient-specific confidence intervals for network localizations on both global and nodal network statistics. Our findings highlight the difference in robustness between commonly used network metrics and provide tools to assess confidence in intracranial network localization. We present these techniques as an important step toward assessing the accuracy of intracranial electrode implants and translating personalized network models of seizures into rigorous, quantitative approaches to invasive therapy.