Miracle-dz/UniFAR-FTUs huggingface dataset:
Avalanche related damage potential - changes of persons and mobile values since the mid-twentieth century, case study Galtür

Abstract. When determining risk related to natural hazard processes, many studies neglect the investigations of the damage potential or are limited to the assessment of immobile values like buildings. However, persons as well as mobile values form an essential part of the damage potential. Knowledge of the maximum number of exposed persons in an endangered area is of great importance for elaborating evacuation plans and immediate measures in case of catastrophes. In addition, motor vehicles can also be highly damaged, as was shown by the analysis of avalanche events. With the removal of mobile values in time as a preventive measure this kind of damage can be minimised. This study presents a method for recording the maximum number of exposed persons and monetarily assessing motor vehicles in the municipality of Galtur (Tyrol, Austria). Moreover, general developments of the damage potential due to significant socio-economic changes since the mid-twentieth century are pointed out in the study area. The present situation of the maximum number of persons and mobile values in the official avalanche hazard zones of the municipality is described in detail. Information on the number of persons is derived of census data, tourism and employment statistics. During the winter months, a significant increase overlaid by strong short-term fluctuation in the number of persons can be noted. These changes result from a higher demand of tourism related manpower as well as from varying occupancy rates. The number of motor vehicles in endangered areas is closely associated to the number of exposed persons. The potential number of motor vehicles is investigated by means of mapping, statistics on the stock of motor vehicles and the density distribution. Diurnal and seasonal fluctuations of the investigated damage potential are pointed out. The recording of the number of persons and mobile values in endangered areas is vital for any disaster management.
Orca : a Portable User-Level Shared Object System

Orca is an object-based distributed shared memory system that is designed for writing portable and efficient parallel programs. Orca hides the communication substrate from the programmer by providing an abstract communication model based on shared objects. Mutual exclusion and condition synchronization are cleanly integrated in the model. Orca has been implemented using a layered system, consisting of a compiler, a runtime system, and a virtual machine (Panda). To implement shared objects efficiently on a distributed-memory machine, the Orca compiler generates regular expressions describing how shared objects are accessed. The runtime system uses this information together with runtime statistics to decide which objects to replicate and where to store nonreplicated objects. The Orca system has been implemented on a range of platforms (including Solaris, Amoeba, Parix, and the CM-5). Measurements of several benchmarks and applications across four platforms show that the new Orca system achieves portability with good performance. In addition, the measurements show that performance of the new system is as good as the previous implementation that was specialized for Amoeba.
Anti-Proliferative Effect of Camellianin A in Adinandra nitida Leaves and Its Apoptotic Induction in Human Hep G2 and MCF-7 Cells

Leaves of Adinandra nitida constitute a kind of flavonoid-rich plant food. In this study, camellianin A, the main flavonoid in the leaves of Adinandra nitida, was prepared and identified by high performance liquid chromatography-photodiode array detector-electrospray ionization mass spectrometry (HPLC-PDA-ESI/MS). In the anticancer assay, it was found camellianin A could inhibit the proliferation of the human hepatocellular liver carcinoma Hep G2 and human breast adenocarcinoma MCF-7 cell lines in a dose-dependent manner and induce the significant increase of the G0/G1 cell population. After treated by camellianin A, phosphatidylserine of Hep G2 and MCF-7 cells could translocate significantly to the surface of the membrane. The increase of an early apoptotic population of Hep G2 and MCF-7 cells was observed. It was concluded that camellianin A not only affected the progress of the cell cycle, but also induced cells to enter into apoptosis.
Relationship between plasma matrix metalloproteinase levels, pulmonary function, bronchodilator response, and emphysema severity

Objective Chronic obstructive pulmonary disease (COPD) is characterized by chronic inflammation in the airway and lung. A protease–antiprotease imbalance has been suggested as a possible pathogenic mechanism for COPD. We evaluated the relationship between matrix metalloproteinase (MMP) levels and COPD severity. Methods Plasma levels of MMP-1, MMP-8, MMP-9, and MMP-12 were measured in 57 COPD patients and 36 normal controls. The relationship between MMP levels and lung function, emphysema index, bronchial wall thickness, pulmonary artery pressure, and quality of life was examined using general linear regression analyses. Results There were significant associations of MMP-1 with bronchodilator reversibility and of MMP-8 and MMP-9 with lung function. Also, MMP-1, MMP-8, and MMP-9 levels were correlated with the emphysema index, independent of lung function. However, MMP-12 was not associated with lung function or emphysema severity. Associations between MMP levels and bronchial wall thickness, pulmonary artery pressure, and quality of life were not statistically significant. Conclusion Plasma levels of MMP-1, MMP-8, and MMP-9 are associated with COPD severity and can be used as a biomarker to better understand the characteristics of COPD patients.
Learning to Push the Limits of Efficient FFT-Based Image Deconvolution

This work addresses the task of non-blind image deconvolution. Motivated to keep up with the constant increase in image size, with megapixel images becoming the norm, we aim at pushing the limits of efficient FFT-based techniques. Based on an analysis of traditional and more recent learning-based methods, we generalize existing discriminative approaches by using more powerful regularization, based on convolutional neural networks. Additionally, we propose a simple, yet effective, boundary adjustment method that alleviates the problematic circular convolution assumption, which is necessary for FFT-based deconvolution. We evaluate our approach on two common non-blind deconvolution benchmarks and achieve state-of-the-art results even when including methods which are computationally considerably more expensive.
Geodermatophilus brasiliensis sp. nov., isolated from Brazilian soil.

A Gram-reaction-positive bacterial isolate, designated Tü 6233(T), with rudimentary, coral-pink vegetative mycelium that formed neither aerial mycelium nor spores, was isolated from a Brazilian soil sample. Chemotaxonomic and molecular characteristics of the isolate matched those described for members of the genus Geodermatophilus. Cell-wall hydrolysates contained meso-diaminopimelic acid as the diagnostic diamino acid and galactose as the diagnostic sugar. The major fatty acids were iso-C(16 : 0), iso-C(15 : 0) and C(17 : 1)ω8c and the predominant menaquinone was MK-9(H4). The polar lipids consisted of diphosphatidylglycerol, phosphatidylethanolamine, hydroxyphosphatidylethanolamine, phosphatidylinositol, an unknown glycophospholipid and an unknown phospholipid. The DNA G+C content of the strain was 75.4 mol%. The 16S rRNA gene sequence identity with members of the genus Geodermatophilus was 94.2-98.7%. Based on phenotypic, chemotaxonomic and phylogenetic data, strain Tü 6233(T) is proposed to represent a novel species, Geodermatophilus brasiliensis sp. nov., with the type strain Tü 6233(T) ( = DSM 44526(T) = CECT 8402(T)).
Tocotrienol-treated MCF-7 human breast cancer cells show down-regulation of API5 and up-regulation of MIG6 genes.

BACKGROUND Tocotrienols belong to the vitamin E family and have multiple anticancer effects, such as antiproliferative, antioxidant, pro-apoptosis and antimetastatic. This study aimed to identify the genes that are regulated in human breast cancer cells following exposure to various isomers of vitamin E as these may be potential targets for the treatment of breast cancer. MATERIALS AND METHODS Gene expression profiling was performed with MCF-7 cells at inhibitory conditions of IC(50) using Illumina's Sentrix Array Human-6 BeadChips. The expression levels of selected differentially expressed genes were verified by quantitative real-time-PCR (qRT-PCR). RESULTS The treatment with tocotrienol-rich palm oil fraction (TRF), α-tocopherol and isomers of tocotrienols (α, γ, and δ) altered the expression of several genes that code for proteins involved in the regulation of immune response, tumour growth and metastatic suppression, apoptotic signalling, transcription, protein biosynthesis regulation and many others. CONCLUSION Treatment of human MCF-7 cells with tocotrienol isomers causes the down-regulation of the API5 gene and up-regulation of the MIG6 gene and the differential expression of other genes reported to play a key role in breast cancer biology.
Limited Effects of an eIF2α S51A Allele on Neurological Impairments in the 5xFAD Mouse Model of Alzheimer's Disease

Alzheimer's disease (AD) has been associated with increased phosphorylation of the translation initiation factor 2α (eIF2α) at serine 51. Increased phosphorylation of eIF2α alters translational control and may thereby have adverse effects on synaptic plasticity, learning, and memory. To analyze if increased levels of p-eIF2α indeed promote AD-related neurocognitive impairments, we crossed 5xFAD transgenic mice with an eIF2α S51A knock-in line that expresses the nonphosphorylatable eIF2α variant eIF2α S51A. Behavioral assessment of the resulting mice revealed motor and cognitive deficits in 5xFAD mice that were, with the possible exception of locomotor hyperactivity, not restored by the eIF2α S51A allele. Telemetric intracranial EEG recordings revealed no measurable effects of the eIF2α S51A allele on 5xFAD-associated epileptic activity. Microarray-based transcriptome analyses showed clear transcriptional alterations in 5xFAD hippocampus that were not corrected by the eIF2α S51A allele. In contrast to prior studies, our immunoblot analyses did not reveal increased levels of p-eIF2α in the hippocampus of 5xFAD mice, suggesting that elevated p-eIF2α levels are not a universal feature of AD models. Collectively, our data indicate that 5xFAD-related pathologies do not necessarily require hyperphosphorylation of eIF2α to emerge; they also show that heterozygosity for the nonphosphorylatable eIF2α S51A allele has limited effects on 5xFAD-related disease manifestations.
Probabilistic programming in Python using PyMC3

Probabilistic Programming allows for automatic Bayesian inference on user-defined probabilistic models. Recent advances in Markov chain Monte Carlo (MCMC) sampling allow inference on increasingly complex models. This class of MCMC, known as Hamiltonian Monte Carlo, requires gradient information which is often not readily available. PyMC3 is a new open source Probabilistic Programming framework written in Python that uses Theano to compute gradients via automatic dierentiation as well as compile probabilistic programs on-the-fly to C for increased speed. Contrary to other Probabilistic Programming languages, PyMC3 allows model specification directly in Python code. The lack of a domain specific language allows for great flexibility and direct interaction with the model. This paper is a tutorial-style introduction to this software package.
Terminal drought-tolerant pearl millet [Pennisetum glaucum (L.) R. Br.] have high leaf ABA and limit transpiration at high vapour pressure deficit

It was previously shown that pearl millet genotypes carrying a terminal drought tolerance quantitative trait locus (QTL) had a lower transpiration rate (Tr; g cm−2 d−1) under well-watered conditions than sensitive lines. Here experiments were carried out to test whether this relates to leaf abscisic acid (ABA) and Tr concentration at high vapour pressure deficit (VPD), and whether that leads to transpiration efficiency (TE) differences. These traits were measured in tolerant/sensitive pearl millet genotypes, including near-isogenic lines introgressed with a terminal drought tolerance QTL (NIL-QTLs). Most genotypic differences were found under well-watered conditions. ABA levels under well-watered conditions were higher in tolerant genotypes, including NIL-QTLs, than in sensitive genotypes, and ABA did not increase under water stress. Well-watered Tr was lower in tolerant than in sensitive genotypes at all VPD levels. Except for one line, Tr slowed down in tolerant lines above a breakpoint at 1.40–1.90 kPa, with the slope decreasing >50%, whereas sensitive lines showed no change in that Tr response across the whole VPD range. It is concluded that two water-saving (avoidance) mechanisms may operate under well-watered conditions in tolerant pearl millet: (i) a low Tr even at low VPD conditions, which may relate to leaf ABA; and (ii) a sensitivity to higher VPD that further restricts Tr, which suggests the involvement of hydraulic signals. Both traits, which did not lead to TE differences, could contribute to absolute water saving seen in part due to dry weight increase differences. This water saved would become critical for grain filling and deserves consideration in the breeding of terminal drought-tolerant lines.
Dengue in Adults Admitted to a Referral Hospital in Hanoi, Vietnam

Knowledge of adult dengue virus (DENV) infection from Hanoi, Vietnam, is limited. In 2008, we prospectively studied 143 (77 male) confirmed (nonstructural 1 antigen enzyme-linked immunosorbent assay [ELISA], DENV polymerase chain reaction, paired serology) adult dengue patients of median age 23.5 (range 16–72) years. They were admitted to the National Hospital for Tropical Diseases, Hanoi, on median illness day (D) 5 (range 1–8). By D8, 141 (98.6%) were afebrile. Platelet counts and hematocrit (median, interquartile range [IQR]) nadired and peaked on D5 and D4, respectively: 40,000/μL (10,000–109,000/μL), 43.4% (34.9–49.7%). Four (2.8%) patients had severe dengue: 1) D10 shock (N = 1) and 2) aspartate aminotransferase (AST) ≥ 1,000 IU/L (N = 3, D5 and D7). Of 143 patients, 118 (82.5%) had ≥ 1 warning sign (World Health Organization [WHO] 2009 criteria): mucosal bleeding 66/143 (46.1%), soft tissue edema 54/143 (37.7%), and ultrasound detected plasma leakage (pleural effusions/ascites) 30/129 (23.25%). 138 (96.5%) patients received intravenous (IV) fluids: 3 L (IQR: 0.5–8.5 L). Most patients had non-severe dengue with warning signs. High rates of edema and plasma leakage may be explained partly by liberal use of IV fluids. Studies are needed on optimizing fluid management in non-severe adult dengue.
Open-Loop Experiments for Modeling the Human Eye Movement System

Open-loop experiments were used to develop a linear model for a physiological system. The specific system studied was the eye movement system; however, the technique presented may be applied generally to other physical systems. Human smooth-pursuit eye movements were measured in response to sinusoidal, step, ramp, and step-ramp target motions in the normal closed-loop condition and in the open-loop condition. The human responses were compared to the outputs of four models, and the best match was provided by the K/(¿s + 1) model. Simulation results suggested that in the open-loop condition, the human often changed control strategy, for example by turning off the saccadic system and making no position-correcting saccades, in spite of large positional errors.
Suboptimal method for pilot and data power allocation in combined positioning and communications OFDM systems

The use of multicarrier signals for combined positioning and high data rate communications systems requires accurate estimation of timing offset and channel impulse response in order to achieve desirable performance. Previous work has investigated optimal pilot structures for joint timing offset and channel impulse response estimation, and the capacity maximizing pilot and data power allocation when taking only channel estimation into account. We study the problem of capacity maximization in an OFDM system when a certain time-delay estimation accuracy is required, thus taking into account the capabilities of the designed signal for positioning.
IL-12p70-producing patient DC vaccine elicits Tc1-polarized immunity.

BACKGROUND Systemic administration of IL-12p70 has demonstrated clinical activity in cancer patients, but dose-limiting toxicities have hindered its incorporation in vaccine formulations. Here, we report on the immunological and clinical outcomes upon vaccination with CD40L/IFN-γ-matured, IL-12p70-producing DCs. METHODS 7 HLA-A*0201+ newly diagnosed stage IV melanoma patients were immunized against the gp100 melanoma antigen using autologous peptide-pulsed, CD40L/IFN-γ-matured DCs. PBMCs were taken weekly for immune monitoring by tetramer analysis and functional assays. CT imaging was performed at baseline, week 9, and week 18 for clinical assessment using RECIST. RESULTS 6 of 7 treated patients developed sustained T cell immunity to all 3 melanoma gp100 antigen-derived peptides. 3 of the 6 immunological responders developed confirmed clinical responses (1 complete remission >4 years, 2 partial response). Importantly, DC vaccine-derived IL-12p70 levels positively correlated with time to progression (P = 0.019, log-rank), as did T-cytotoxic 1 (Tc1) immunity, as assessed by IFN-γ/IL-13 and IFN-γ/IL-5 ratios (P = 0.035 and P = 0.030, respectively, log-rank). In contrast, a pathway-specific defect in IL-12p35 transcription was identified upon CD40L/IFN-γ activation in clinical nonresponder patient DCs, and gp100-specific T cells from these patients displayed a Tc2 phenotype. Incorporation of TLR3 and TLR8 agonists into the CD40L/IFN-γ activation protocol corrected the IL-12p70 production defect in DCs derived from clinical nonresponder patients. CONCLUSION These findings underscore the essential role of IL-12p70 in the development of therapeutic type 1 antigen-specific CD8+ T cell immunity in humans with cancer.
Wide temperature spectrum low leakage dynamic circuit technique for sub-65nm CMOS technologies

A new circuit technique is proposed in this paper for simultaneously reducing the subthreshold and gate oxide leakage power in domino logic circuits. PMOS-only sleep transistors are utilized along with a dual threshold voltage CMOS technology to place an idle domino circuit into a low leakage state. The effectiveness of the circuit technique is evaluated for a wide-temperature spectrum, considering both long and short idle periods. Assuming a short idle period at a temperature of 110degC, up to 95.6% reduction in leakage power is observed as compared to standard dual threshold voltage domino circuits. Alternatively, assuming a long idle period at the room temperature, the circuit technique reduces the leakage power by up to 96.9% as compared to the standard dual threshold voltage domino logic circuits. Furthermore, by employing PMOS-only sleep transistors, the presented circuit technique reduces the total leakage power by up to 43.8% as compared to a previously published sleep scheme based on NMOS sleep transistors in a 45nm CMOS technology
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks

In this paper, we develop an online sequential learning algorithm for single hidden layer feedforward networks (SLFNs) with additive or radial basis function (RBF) hidden nodes in a unified framework. The algorithm is referred to as online sequential extreme learning machine (OS-ELM) and can learn data one-by-one or chunk-by-chunk (a block of data) with fixed or varying chunk size. The activation functions for additive nodes in OS-ELM can be any bounded nonconstant piecewise continuous functions and the activation functions for RBF nodes can be any integrable piecewise continuous functions. In OS-ELM, the parameters of hidden nodes (the input weights and biases of additive nodes or the centers and impact factors of RBF nodes) are randomly selected and the output weights are analytically determined based on the sequentially arriving data. The algorithm uses the ideas of ELM of Huang developed for batch learning which has been shown to be extremely fast with generalization performance better than other batch training methods. Apart from selecting the number of hidden nodes, no other control parameters have to be manually chosen. Detailed performance comparison of OS-ELM is done with other popular sequential learning algorithms on benchmark problems drawn from the regression, classification and time series prediction areas. The results show that the OS-ELM is faster than the other sequential algorithms and produces better generalization performance
Evidence‐based strategies for preventing drug administration errors during anaesthesia

We developed evidence‐based recommendations for the minimisation of errors in intravenous drug administration in anaesthesia from a systematic review of the literature that identified 98 relevant references (14 with experimental designs or incident reports and 19 with reports of cases or case series). We validated the recommendations using reports of drug errors collected in a previous study. One general and five specific strong recommendations were generated: systematic countermeasures should be used to decrease the number of drug administration errors in anaesthesia; the label on any drug ampoule or syringe should be read carefully before a drug is drawn up or injected; the legibility and contents of labels on ampoules and syringes should be optimised according to agreed standards; syringes should (almost) always be labelled; formal organisation of drug drawers and workspaces should be used; labels should be checked with a second person or a device before a drug is drawn up or administered.
A Mathematical Model of Moisture Movement and Bacterial Growth in Two-Dimensional Porous Medium

A MATHEMATICAL MODEL OF MOISTURE MOVEMENT AND BACTERIAL GROWTH IN TWO-DIMENSIONAL POROUS MEDIUM by Rachel Elizabeth TeWinkel The University of Wisconsin-Milwaukee, 2014 Under the Supervision of Professor Istvan Lauko Bacterial growth in sand is of concern in regard to the health of beaches. A mathematical model is presented that represents the movement of moisture and the growth of bacteria through a beach. Simulations were run by numerically solving Richards Equation using a Finite Volume Method in order to track moisture movement. A model of moisture-dependent bacterial growth was then implemented. These simulations show that elevated bacteria counts following rain events do not necessarily result from bacteria in the body of water, but can also be sourced from the sand. Additionally, four different moisture-dependent bacterial growth models are compared to computationally investigate the relationship between relative moisture level in the sand and bacterial growth.
AM A CROWD WORKER – HOW INDIVIDUALS IDENTIFY WITH A NEW FORM OF DIGITAL WORK – Research in Progress

Crowd work has emerged as a new form of digital gainful employment that changes the nature of work. However, an increasing number of people perform certain tasks in the crowd and start to identify with this work. In this paper, we outline our research in progress which is concerned with the effects of work characteristics in crowd work that have impact on the individual’s identification. Thus, we developed our research model and conducted an online survey amongst 434 crowd workers to examine their perception of work and illustrate the antecedences of identification. Our expected contribution will increase the understanding of crowd work and extend prior research on self-determination theory (SDT) and work design. For practice, we provide important insights for platform providers to (re-) design work on platform in order to increase identification among their crowd. In addition, our findings can serve as common basis for future discussions on decent crowd work.