Miracle-dz/UniFAR-FTUs huggingface dataset:
A 27 AI and 2 esi MAS NMR and infrared spectroscopic study of Al-Si ordering in natural and synthetic saPPhirine

Magic-angle sample-spinning (MAS) ,eSi high-resolution NMR spectra are presented for a natural sapphirine sample from Aileron, Australia, synthetic sapphirine samples crystallized from a gel of TMgO'9AlrO3'3SiO, composition and subjected to various heat treatments, and a more siliceous synthetic sample. A "Al NMR spectrum was also obtained from a synthetic sample. The most intense peak in the "Si spectra is near -73.1 ppm for all samples. The synthetic samples also show distinct maxima near -75.5 and -78.0 ppm and a weak peak near -80.8 ppm. The similarity between the envelopes of these spectra and that of the natural sample suggests that the local Si environments are similar in all samples. The 27Al spectrum showed only one maximum attributable to tetrahedral Al. The ,eSi spectra are best fitted with a short-range ordering pattern in which one Q3 site is almost completely occupied by Si and the other by Al. The location of the remaining Si is not well constrained. The Si concentration in one Q3 site appears to maximize the number of Si-O-Al linkages in the tetrahedral chains. Fourier transform infrared spectra over the wavenumber range 400-1300 cm twere obtained for one of the synthetic sapphirine samples and five natural sapphirine samples with different Si/Al ratios. All spectra were similar in general envelope. A progressive loss ofresolution with increasing Si content suggests a concomitant increase in disorder in the natural samples. A heat-treated natural sample gave a spectrum that was badly resolved for its Si content. These data support the conclusions of the NMR study.
Sentiment Political Compass: A Data-driven Analysis of Online Newspapers regarding Political Orientation

In most cases, voters only have a vague and subjective perception of a newspaper’s proximity to political parties. If voters are uninformed about the political attitude of media reporting, they may be manipulated in their democratic opinionforming. One answer to biased news and false information is transparancy and quantifiablity. For this reason, we introduce the Sentiment Political Compass, a data-driven framework to analyze newspapers with respect to their political conviction. Newspapers are embedded in a twodimensional space (left vs. right, libertarian vs. autocratic) resembling a compass, which serves as a tool for analysing relative political proximity. We provide technical details of the system, including the framework to crawl newspaper articles, locate and extract entities and perform entity sentiment analysis. We demonstrate the analytical power and informative value of our approach by analyzing over 180,000 newspaper articles with over 740,000 sentiments surrounding the federal elections 2017 in Germany. Since our model can be reproduced entirely open-source, it may be applied to classify the political landscape in any country in the world.
Convective self aggregation in numerical simulations :

Organized convection in the Tropics occurs across a range of spatial and temporal scales and strongly influences cloud cover and humidity. One mode of organization found is “self-aggregation”, in which moist convection spontaneously organizes into one or several isolated clusters despite spatially homogeneous boundary conditions and forcing. Self-aggregation is driven by interactions between clouds, moisture, radiation, surface fluxes, and circulation, and occurs in a wide variety of idealized simulations of radiativeconvective equilibrium. Here we provide a review of convective self-aggregation in numerical simulations, including its character, causes, and e↵ects. We describe the evolution of self-aggregation including its time and length scales and the physical mechanisms leading to its triggering and maintenance, and we also discuss possible links to climate and climate change.
Heat stress induces both apoptosis and necrosis in normal human osteoblasts without heat shock protein-60 (HSP60) release

Thermal trauma can irreversibly damage bone cells; however, the mechanisms by which thermal trauma affects the bone microenvironment are poorly characterized. Heat shock protein-60 (HSP60) can be induced by stresses, including hyperthermia, and released from cells as an endogenous danger signal. The aim of this study was to determine the effects of heat stress on HSP60 release by human osteoblasts. Normal human osteoblasts (NHOst) were exposed to heat stress at 40°C to 46°C for 5-15 min and then cultured for 24 h. Cell viability was analyzed using the MTT assay. HSP60 protein expression and release were analyzed by Western blotting of cell lysates and conditioned medium. HSP60 subcellular localization was analyzed using immunocytochemistry. Annexin-V-FITC/propidium iodide staining and the lactate dehydrogenase (LDH) assay were used to investigate the mechanisms of cell death. We found that heat-stress significantly reduced NHOst cell viability in a dose- and time-dependent manner (p<0.05). Heat stress did not induce HSP60 protein expression or release by human osteoblasts; however, freeze-thawed necrotic human osteoblasts released HSP60 into the medium. Immunocytochemistry revealed modest changes in the subcellular localization of HSP60 in human osteoblasts after heat stress. Both apoptosis and necrosis were induced in human osteoblasts after heat stress. In conclusion, hyperthermia at temperatures as low as 43°C induced both apoptotic and necrotic cell death in human osteoblasts; however, heat treatment did not induce HSP60 protein expression or release into the extracellular milieu.
Effects of phonological feedback on the selection of syntax: Evidence from between-language syntactic priming*

Research on word production in bilinguals has often shown an advantage for cognate words. According to some accounts, this cognate effect is caused by feedback from a level that represents information about phonemes (or graphemes) to a level concerned with the word. In order to investigate whether phonological feedback influences the selection of words and syntactic constructions in late bilinguals, we investigated syntactic priming between Dutch and English genitive constructions (e.g., the fork of the girl vs. the girl's fork). The head nouns of prime and target constructions were always translation equivalents. Half of these were Dutch–English cognates with a large phonological overlap (e.g., vork–fork), the other half were non-cognates that had very few phonemes in common (e.g., eend–duck). Cognate status boosted between-language syntactic priming. Further analyses showed a continuous effect of phonological overlap for cognates and non-cognates, indicating that this boost was at least partly caused by feedback from the translation equivalents’ shared phonemes.
Determinants of Non-Traditional Agricultural Exports Growth in Zambia: A Case of Cotton and Tobacco

Exports are a vital component of a nation’s balance of payments as they are source of foreign exchange and economic growth. Much of the economic growth in Zambia has been driven by copper exports, which have suffered from external shocks such as plummeting prices on the world market. It is against this background that the Government of the Republic of Zambia (GRZ) has devised a number of measures to promote export diversification to non-traditional exports with a view to reducing heavy dependency on copper and stabilise foreign exchange earnings. The non-traditional exports have recorded growth averaging about 30 percent during the period. However, the key determinants of the growth of the non-traditional exports are unknown. This study therefore endeavored to determine factors that affect the growth of two major non-traditional exports in Zambia; Cotton and Tobacco. The study employed annual time series data that spans a period of 34 years from 1980 to 2013. The Auto-Regressive Distributed Lagged (ARDL) model approach to co-integration revealed that cotton and tobacco exports are co-integrated with foreign direct investment, real effective exchange rate, real Gross Domestic Product (GDP) of trade partners, real interest rate and world price. The ARDL analysis revealed that cotton exports are affected by the real interest rate, real effective exchange rate, world price and the real income of the trading partner in the short-run. In the long-run, cotton exports are affected by real interest rate, real effective exchange rate and real GDP. Tobacco exports are significantly affected by real effective exchange rate, real income of the trading partner and foreign direct investment in the short-run while only real effective exchange rate and the real income of the trading partner affect the growth of tobacco exports in the long-run. Granger causality tests revealed that cotton and tobacco exports granger cause agricultural share of GDP. Overall, both exports are highly elastic to exchange rate movements and the importer’s GDP. There is need for government to maintain a stable exchange rate and exploit available markets through increased participation in regional integration.
An Algorithm for Optimizing the Location of Attached Tower Crane and Material Supply Point with BIM

Attached tower crane is globally used in the highrise construction to transport components vertically and horizontally. To reduce cost and improve overall efficiency, the tower crane should be well located to move heavy materials. This paper proposes an optimization algorithm to identify the optimal type and location of attached tower crane with proper location of material supply point. The algorithm concerns four main models:1) tower crane location generation model to define alternative type and area for allocating crane.2) supply point location model for selecting all potential area to establish supply point.3) tower crane optimization model to get the ideal location of tower crane and supply point. 4) 4D simulation model to evaluate and visualize the optimal layout scheme through BIM. Then, a practical case, in China, is described in order to demonstrate the outputs obtained by the optimization algorithm. Later, three typical situations of construction site are discussed based on the case. The results reveal the rule that the trolley sliding movement is weightier than the jib rotation movement when considering the optimal layout scheme.
Study on the potential antidiabetic effects of trigonelline alone and with vildagliptin in type-2 diabetic model in rats

Trigonelline is the major alkaloid component of fenugreek that proved antidiabetic efficacy; however its mechanism of action has not yet been elucidated. The objective of this work was to determine the effects of trigonelline and vildagliptin on the altered insulin signaling, glucose hemostasis, and lipid profile in insulin resistance /type 2 diabetic model in rats induced by high-fat/fructose diet (HFFD) for 8 weeks followed by a single sub-diabetogenic dose of streptozotocin (35 mg/kg, i.p.). Trigonelline (50mg/kg, p.o, daily for 4 weeks) decreased body weight, visceral and epididymal fat weight ratios. Moreover, it opposed the HFFD effects lowering serum levels of glucose, insulin, and fructosamine levels, as well as the homeostatic model assessment–insulin resistance (HOMAIR) index. Besides, it improved serum total cholesterol and triglycerides, as well as serum alanine and aspartate aminotransferases. In the soleus skeletal muscle, trigonelline elevated insulin receptors autophosphorylation, protein kinase B, glucose transporter 4 (GLUT4), and glutathione. In addition, it decreased soleus skeletal muscle advanced glycation end products (AGE), free fatty acids (FFAs), triglycerides, and lipid peroxides. Likewise, diabetic groups treated with both doses of vildagliptin (3 and 10mg/kg, p.o, daily for 4 weeks) showed noticeable improvements in the aforesaid parameters. In conclusion, the present study demonstrates that trigonelline significantly improved glucose and lipid homeostasis in insulin resistant/diabetic animals by improving insulin sensitivity via enhanced GLUT4 and the inhibition of FFAs, and AGE as well as its antioxidant potential in the soleus skeletal muscle.
Simulating Long-Term Effects of Nitrogen Fertilizer Application Rates on Corn Yield and Nitrogen Dynamics

Thoroughly tested agricultural systems models can be used to quantify the long-term effects of crop management practices under conditions where measurements are lacking. In a field near Story City, Iowa, ten years (1996-2005) of measured data were collected from plots receiving low, medium, and high (57-67, 114-135, and 172-202 kg N ha-1) nitrogen (N) fertilizer application rates during corn (Zea mays L.) years. Using these data, the Root Zone Water Quality Model linked with the CERES and CROPGRO plant growth models (RZWQM-DSSAT) was evaluated for simulating the various N application rates to corn. The evaluated model was then used with a sequence of historical weather data (1961-2005) to quantify the long-term effects of different N rates on corn yield and nitrogen dynamics for this agricultural system. Simulated and measured dry-weight corn yields, averaged over plots and years, were 7452 and 7343 kg ha-1 for the low N rate, 8982 and 9224 kg ha-1 for the medium N rate, and 9143 and 9484 kg ha-1 for the high N rate, respectively. Simulated and measured flow-weighted average nitrate concentrations (FWANC) in drainage water were 10.6 and 10.3 mg L-1 for the low N rate, 13.4 and 13.2 mg L-1 for the medium N rate, and 18.0 and 19.1 mg L-1 for the high N rate, respectively. The simulated N rate for optimum corn yield over the long term was between 100 and 150 kg N ha-1. Currently, the owner-operator of the farm applies 180 kg N ha-1 to corn in nearby production fields. Reducing long-term N rates from 180 to 130 kg N ha-1 corresponded to an 18% simulated long-term reduction in N mass lost to water resources. Median annual FWANC in subsurface drainage water decreased from 19.5 to 16.4 mg N L-1 with this change in management. Current goals for diminishing the hypoxic zone in the Gulf of Mexico call for N loss reductions of 30% and greater. Thus, long-term simulations suggest that at least half of this N loss reduction goal could be met by reducing N application rates to the production optimum. However, additional changes in management will be necessary to completely satisfy N loss reduction goals while maintaining acceptable crop production for the soil and meteorological conditions of this study. The results suggest that after calibration and thorough testing, RZWQM-DSSAT can be used to quantify the long-term effects of different N application rates on corn production and subsurface drainage FWANC in Iowa.
Effects of temperature on survival and growth of juvenile spinefoot rabbitfish (Siganus rivulatus)

Interest in culturing marbled spinefoot rabbit¢sh Siganus rivulatus is increasing in countries on the Eastern Mediterranean, Red Sea and Arabian Gulf. However, information on environmental tolerances and requirements for optimal growth are scarce. In the present work, the temperature requirements for spinefoot rabbit¢sh were investigated in two experiments. In the ¢rst experiment, juvenile rabbit¢sh were distributed into eight 180 L square tanks at 12 ¢sh per tank. The temperature in four tanks was reduced at a rate of 11 Cd ay 1 and in four tanks was increased by 11 Cd ay 1 until the ¢sh stopped feeding. Minimum and maximum temperatures for feeding were recorded. In the second experiment, the ¢sh were placed in four temperature treatments (17, 22, 27,32 1C) at four replicates per treatment for 8 weeks. Survival and growth were evaluated. Fish stopped feeding at 14 and 361C. Their maximum growth rate was at 27 1C, and survival was 100% in all treatments. The relationship between speci¢c growth rate and temperature was parabolic, described by the equation: SGR 5 0.0014 (T 3 )10.0798 (T 2 ) 1.3089 (T)16.7342. The results show that S. rivulatus is a eurythermal ¢sh whose optimal temperature for growth is circa 27 1C.
STIS Observations of He II Gunn-Peterson Absorption toward Q0302–003

The ultraviolet spectrum (1145-1720 Å) of the distant quasar Q0302-003 (z = 3.286) was observed at 1.8 Å resolution with the Space Telescope Imaging Spectrograph aboard the Hubble Space Telescope. A total integration time of 23,280 s was obtained. The spectrum clearly delineates the Gunn-Peterson He II absorption trough, produced by He II Lyα along the line of sight over the redshift range z = 2.78-3.28. Its interpretation was facilitated by modeling based on Keck HIRES spectra of the H I Lyα forest (provided by A. Songaila and by M. Rauch and W. Sargent). We find that near the quasar, He II Lyα absorption is produced by discrete clouds, with no significant diffuse gas; this is attributed to a He II "proximity effect" in which the quasar fully ionizes He in the diffuse intergalactic medium, but not the He in denser clouds. By two different methods we calculate that the average He II Lyα opacity at z ≈ 3.15 is τ ≥ 4.8. In the Dobrzycki-Bechtold void in the H I Lyα forest near z = 3.18, the average He II opacity τ = 4.47. Such large opacities require the presence of a diffuse gas component as well as a soft UV background spectrum, whose softness parameter, defined as the ratio of the photoionization rate in H I over the one in He II S ≡ Γ/Γ ≃ 800, indicating a significant stellar contribution. At z = 3.05, there is a distinct region of high He II Lyα transmission that most likely arises in a region where helium is doubly ionized by a discrete local source, quite possibly an AGN. At redshifts z < 2.87, the He II Lyα opacity detected by STIS, τ = 1.88, is significantly lower than at z > 3. Such a reduction in opacity is consistent with Songaila's report that the hardness of the UV background spectrum increases rapidly from z = 3 to z = 2.9.
Phrases in literary contexts: patterns and distributions of suspensions in Dickens’s novels

This paper addresses relations between lexico-grammatical patterns and texts. Our focus is on a specific linguistic unit, the ‘suspended quotation’ (or ‘suspension’), which has received particular attention in Dickens studies. The suspended quotation refers to an interruption of a fictional character’s speech by the narrator with a sequence of at least five words. We show how corpus linguistic methods can help to systematically study suspensions in a corpus of Dickens’s novels: we investigate relationships between patterns of body language presentation and suspensions; we consider the distribution of suspensions across novels; and we illustrate how patterns in suspensions relate to meanings of reporting verbs. Overall, we argue that suspensions are discernible units that contribute to meaningful patterns in narrative prose.
A New Algorithmic Model for Graph Analysis of Streaming Data

The constant and massive influx of new data into analysis systems needs to be addressed without assuming we can pause the onslaught. Here we consider one aspect: nonstop graph analysis of streaming data. We formalize a new and practical algorithm model that includes both single-run analysis as well as efficiently updating analysis results only around changed data. In our model, a massive graph undergoes changes from an input stream of edge insertions and removals. These changes occur concurrently with analysis. Algorithms do not pause or stop the input stream. Assuming basic data access safety, we consider an algorithm valid for our model if the output is correct for a graph consisting of the initial graph and some implicit subset of concurrent changes. Our technical contributions include 1. the first formal model for graph analysis with concurrent changes, 2. properties of the model including how our model is the strongest possible without point-in-time graph views, 3. demonstrations of our model on connected components and PageRank, and 4. an extension to updating results incrementally. CCS Concepts • Theory of computation → Dynamic graph algorithms; • Information systems → Network data models; Data streams; ACM Reference Format: Chunxing Yin, Jason Riedy, and David A. Bader. 2018. A New Algorithmic Model for Graph Analysis of Streaming Data. In Proceedings of 14th International Workshop on Mining and Learning with Graphs (MLG’18). ACM, New York, NY, USA, 8 pages. https: //doi.org/10.nnnn/nnnnnnn.nnnnnnn
Effect of diesel fuel contamination on seed germination and growth of four agricultural crops.

Plant toxicity bioassays through fast germinating agricultural crops can indicate the phytoremediation potential, effects on growth and survival and also assess extent of pollution. In the present study, the phytotoxic effect of diesel fuel contamination was studies on four agricultural crops namely Zea mays, Vigna radiata, Sorghum vulgare and Pennisetum glaucum at four levels of contamination. All the test plant species tolerated diesel fuel contamination at 2.5 5% levels and the total percent seed germination was between 43.7 to 86.7%. But fourth treatment level (7.5% diesel) significantly reduced the germination in Zea mays (74% decrease) followed by Pennisetum glaucum (67% decrease). Diesel fuel contamination also caused a reduction in the length of the radicle of the four crop plants studied. At 5% level of contamination, the longest radicle (1.92 cm) was recorded in Vigna radiata followed by Zea mays (1.36 cm). Also at 10% level of diesel contamination these two test species showed more radicle growth than Sorghum vulgare and Pennisetum glaucum. There was a reduction of radicle growth of all the species in subsequent treatment levels. Almost same trend was observed in plumule growth of all four species. Phytotoxicity bioassays results revealed that Zea mays and Vigna radiata species exhibited better growth and germination even at high concentration of diesel as compared to Sorghum vulgare and Pennisetum glaucum. Hence, these two species have higher potential for phytoremediation of diesel contaminated soils.
Daily Ups and Downs in Women's Binge Eating Symptoms: The Role of Basic Psychological Needs, General Self-Control, and Emotional Eating

The high prevalence rates of problematic eating behaviors, such as binge eating symptoms, have urged researchers to investigate why and when control over eating behaviors is lost. The current study employs a daily diary methodology to examine whether the daily satisfaction and frustration of the basic psychological needs for autonomy, competence, and relatedness, as conceptualized within Self-Determination Theory (Deci & Ryan, 2000), is associated with daily binge eating symptoms. In a sample of female adolescents (N = 302, age = 14–23), daily fluctuations in need frustration were related to daily fluctuations in binge eating symptoms. Furthermore, frustration of all three needs yielded an independent association with binge eating symptoms. Apart from the main effects of low self-control strength and emotional eating, emotional eating served as a moderator of the link between need frustration and binge eating symptoms. Theoretical and clinical implications of these findings are discussed.