Miracle-dz/UniFAR-FTUs huggingface dataset:
Protecting shared information in networks: A network security game with strategic attacks

A digital security breach, by which confidential information is leaked, does not only affect the agent whose system is infiltrated but is also detrimental to other agents socially connected to the infiltrated system. Although it has been argued that these externalities create incentives to underinvest in security, this presumption is challenged by the possibility of strategic adversaries that attack the least protected agents. In this paper we study a new model of security games in which agents share tokens of sensitive information in a network of contacts. The agents have the opportunity to invest in security to protect against an attack that can be either strategically or randomly targeted. We show that, in the presence of random attack, underinvestments always prevail at the Nash equilibrium in comparison with the social optimum. Instead, when the attack is strategic, either underinvestments or overinvestments are possible, depending on the network topology and on the characteristics of the process of the spreading of information. Actually, agents invest more in security than socially optimal when dependencies among agents are low (which can happen because the information network is sparsely connected or because the probability that information tokens are shared is small). These overinvestments pass on to underinvestments when information sharing is more likely (and therefore, when the risk brought by the attack is higher). In order to keep our analysis tractable, some of our results on strategic attacks make an assumption of homogeneity in the network, namely, that the network is vertex‐transitive. We complement these results with an analysis on star graphs (which are nonhomogeneous), which confirms that the essential lines of our findings can remain valid on general networks.
Timing of eating across ten European countries – results from the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study

Abstract Objective To examine timing of eating across ten European countries. Design Cross-sectional analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study using standardized 24 h diet recalls collected during 1995–2000. Eleven predefined food consumption occasions were assessed during the recall interview. We present time of consumption of meals and snacks as well as the later:earlier energy intake ratio, with earlier and later intakes defined as 06.00–14.00 and 15.00–24.00 hours, respectively. Type III tests were used to examine associations of sociodemographic, lifestyle and health variables with timing of energy intake. Setting Ten Western European countries. Subjects In total, 22 985 women and 13 035 men aged 35–74 years (n 36 020). Results A south–north gradient was observed for timing of eating, with later consumption of meals and snacks in Mediterranean countries compared with Central and Northern European countries. However, the energy load was reversed, with the later:earlier energy intake ratio ranging from 0·68 (France) to 1·39 (Norway) among women, and from 0·71 (Greece) to 1·35 (the Netherlands) among men. Among women, country, age, education, marital status, smoking, day of recall and season were all independently associated with timing of energy intake (all P<0·05). Among men, the corresponding variables were country, age, education, smoking, physical activity, BMI and day of recall (all P<0·05). Conclusions We found pronounced differences in timing of eating across Europe, with later meal timetables but greater energy load earlier during the day in Mediterranean countries compared with Central and Northern European countries.
Simplifying Disasters: Developing a Model for Complex Non-linear Events

The different ways to reduce the complexity of disasters thus making them less severe, less traumatic, less disruptive, and damaging are illustrated by understanding the relation of different facets of a disaster. A generic model is hence provided, focusing on practical disaster management needs, with its strength lying in an ability to help the disaster manager or researcher define and understand the relationship between inputs and impacts.
Multibreed Genetic Parameters and Predicted Genetic Values for First Lactation 305-d Milk Yield, Fat Yield, and Fat Percentage in a Bos taurus X Bos indicus Multibreed Dairy Population in Thailand!/

Estimates of multibreed covariance components, genetic parameters, and predicted genetic values for fIrst lactation 305-d milk yield (MY), 305-d fat yield (FY), and 305-d fat percentage (FP) were obtained using production records from 481 purebred and crossbred cows in a Thai multibreed dairy population. Multibreed covariance components were estimated by restricted maximum likelihood procedures using a generalized expectation-maximization algorithm suitable for multibreed popula- tions. Two multibreed sire-maternal grandsire models (BTBI and HO) that accounted for intrabreed additive genetic effects, and intralocus intra and interbreed nonadditive genetic effects were used for the analyses. The BTBI model considered Bos taums (BT) and Bos indicus (BI) fractions, whereas the HO model accounted for Holstein (H) and Other breeds (0) fractions. Additive and nonadditive genetic c covariance estimates for base population BI (or 0) were larger than those for base population BT (or H) for all traits, while base environmental covariance estimates for BI (or 0) were smaller than BT (or H). Ranges of multi breed heritability estimates for MY (0.07 to 0.42), FY (0.08 to 0.45), and FP (0.04 to 0.39) across all breed group combinations represented in the data set were within the ranges of unibreed estimates found elsewhere. Estimates of interactibilities (ratios of multibreed nonadditive genetic variances to phenotypic variances) were smaller than those of heritabilities for all traits. Multibreed additive and nonadditive genetic correlations ranged from 0.37 to 0.79 for (MY, FY), and they were close to zero for (MY, FP) and (FY, FP). Ranges of sire additive, nonadditive, and total multibreed predicted genetic values (MPGV) were wider for MY and FY in the HO than in the BTBI model. The opposite occurred for FP. Sire rankings by additive, nonadditive, and total MPGV in the BTBI were highly correlated (0.98) to those in the HO model. High correlations (0.99) also existed between sire
CRISPR/Cas9-mediated disruption of SHANK3 in monkey leads to drug-treatable autism-like symptoms

Monogenic mutations in the SHANK3 gene, which encodes a postsynaptic scaffold protein, play a causative role in autism spectrum disorder (ASD). Although a number of mouse models with Shank3 mutations have been valuable for investigating the pathogenesis of ASD, species-dependent differences in behaviors and brain structures post considerable challenges to use small animals to model ASD and to translate experimental therapeutics to the clinic. We have used clustered regularly interspersed short palindromic repeat/CRISPR-associated nuclease 9 to generate a cynomolgus monkey model by disrupting SHANK3 at exons 6 and 12. Analysis of the live mutant monkey revealed the core behavioral abnormalities of ASD, including impaired social interaction and repetitive behaviors, and reduced brain network activities detected by positron-emission computed tomography (PET). Importantly, these abnormal behaviors and brain activities were alleviated by the antidepressant fluoxetine treatment. Our findings provide the first demonstration that the genetically modified non-human primate can be used for translational research of therapeutics for ASD.
Adoption behavior of market traders: an analysis based on Technology Acceptance Model and Theory of Planned Behavior

High tomato losses in the fruit supply chain can be prevented by use of improved or new technologies but these are not usually adopted where adoption behavior is barely known. Based on the Theory of Planned Behavior and the Technology Acceptance Model, this study analyses socio-psychological factors that influence the adoption behavior of traders on new postharvest handling technology, as exemplified by the use of lining material for improving tomato packaging in Tanzania. The study results conclude that the perceived behavioral control and subjective norm were the most important factors explaining respondents’ behavioral intention. Attitude, though found not to be a significant determining factor, was however significantly influenced by perceived usefulness and perceived ease of use. As technology adoption is a prerequisite for structural transformation of developing economies, our results provide new insights in the field of behavioral acceptance research in the tomato production sector of relevant developing countries.
Smoking during pregnancy in Finland – Trends in the MATEX cohort

Aims: In Finland, smoking rates in the general population are decreasing due to increased awareness of the adverse effects and tightened tobacco legislation. However, previous studies have shown that smoking in pregnant Finnish women remained as high as in the general Finnish female population at around 15% in 2010. Our aim was to describe temporal and spatial trends in smoking behaviour, and determinants of changes in smoking behaviour between first and second pregnancy. Methods: Self-reported smoking from the Finnish Medical Birth Register covered the years 1991–2015 (N=1,435,009). The association of maternal age and socioeconomic status with smoking rate was analysed. Spatial trends were assessed at municipality level. Results: The overall smoking rate during early pregnancy remained fairly stable at around 15% from 1991 to 2015, but increased in teenage and young women below 25 years of age. The mean smoking rate (36%) was higher in these age groups than in older pregnant women (11%). Through the study period the smoking rate remained higher in blue collar workers compared with higher socioeconomic groups. Between the first and second child, on average only 4% of women started to smoke and 41% quitted. Smoking rates developed less favourably in Eastern Finland. Conclusions: The observed increase in smoking rate during pregnancy in teenage and young women is concerning. Pregnancy is a trigger point for smoking cessation in a big fraction of pregnant women. More studies are needed to explain the opposite trends of smoking rates in Northern and Western Finland compared with Eastern Finland.
Endoscopic Management of Benign Biliary Strictures After Liver Transplantation

Biliary strictures represent some of the most frequent complications encountered after orthotopic liver transplantation. They comprise an array of biliary abnormalities with variations in anatomical location, clinical presentation, and different pathogenesis. Magnetic resonance cholangiography represents the most accurate noninvasive imaging test that can provide detailed imaging of the whole biliary system—below and above the anastomosis. It is of particular value in those harboring complex hilar or intrahepatic strictures, offering a detailed roadmap for planning therapeutic procedures. Endoscopic therapy of biliary strictures usually requires biliary sphincterotomy plus balloon dilation and stent placement. However, endoscopic management of nonanastomotic biliary strictures is much more complex and challenging as compared with anastomotic biliary strictures. The present article is a narrative review presenting the results of endoscopic treatment of biliary strictures occurring after liver transplantation, describing the different strategies based on the nature of the stricture and summarizing their outcomes.
High-Redshift Cosmography

We constrain the parameters describing the kinematical state of the universe using a cosmographic approach, which is fundamental in that it requires a very minimal set of assumptions (namely to specify a metric) and does not rely on the dynamical equations for gravity. On the data side, we consider the most recent compilations of Supernovae and Gamma Ray Bursts catalogues. This allows to further extend the cosmographic fit up to z = 6.6, i.e. up to redshift for which one could start to resolve the low z degeneracy among competing cosmological models. In order to reliably control the cosmographic approach at high redshifts, we adopt the expansion in the improved parameter y = z/(1+z). This series has the great advantage to hold also for z > 1 and hence it is the appropriate tool for handling data including non-nearby distance indicators. We find that Gamma Ray Bursts, probing higher redshifts than Supernovae, have constraining power and do require (and statistically allow) a cosmographic expansion at higher order than Supernovae alone. Exploiting the set of data from Union and GRBs catalogues, we show (for the first time in a purely cosmographic approach parametrized by deceleration q0, jerk j0, snap s0) a definitively negative deceleration parameter q0 up to the 3σ confidence level. We present also forecasts for realistic data sets that are likely to be obtained in the next few years.
The effect of an unfamiliar regional accent on spoken-word comprehension

This study aimed first to determine whether there is a delay associated with processing words in an unfamiliar regional accent compared to words in a familiar regional accent, and second to establish whether short-term exposure to an unfamiliar accent affects the speed and accuracy of comprehension of words spoken in that accent. Listeners performed an animacy decision task for words spoken in their own and in an unfamiliar accent. Next, they were exposed to approximately 20 minutes of speech in one of these two accents. After exposure, they repeated the animacy decision task. Results showed a considerable delay in word processing for the unfamiliar accent, but no effect of short-term exposure.
Plug and Play Process Control Applied to a District Heating System

Abstract The general ideas within plug and play process control (P 3 C) are to initialize and reconfigure control systems just by plug and play. In this paper these ideas are applied to a district heating pressure control problem. First of all this serves as a concrete example of P 3 C, secondly some of the first techniques developed in the project to solve the problems in P 3 C are presented. These are in the area of incremental modelling and control and they make it possible to “plug” in a new sensor and actuator and make it “play” automatically.
Use of Local Flaps for Soft-Tissue Closure in Diabetic Foot Wounds: A Systematic Review

“A systematic review was undertaken to assess the outcomes of local random flaps in diabetic foot wound closure. The review was conducted using the following databases: Cumulative Index of Nursing and Allied Health Literature, Cochrane Library, Excerpta Medica dataBASE, Google Scholar, MEDLINE, Ovid, and PubMed. Search terms were local random flap, diabetes, foot, wound, ulceration, neuropathy, tissue transfer, V-Y, bilobed, monolobed, rotational, advancement, transpositional, rhomboid, and Limberg. English language studies, studies published from 1997 to 2017, patients with diabetes mellitus treated for foot wounds, use of local random flaps, follow-up period of 6 months or more postoperatively, documentation of healing rates, complications, and need for revisional surgery were included. Isolated literature reviews and descriptions of only surgical technique and/or cadaveric studies were excluded. The initial search identified 53 eligible studies with 28 being excluded. The remaining 25 studies used for data extraction had a total of 512 patients in which 199 of these underwent 204 local random flap procedures. Average follow-up for the flaps was approximately >2 years, and successful wound closure at last follow-up was demonstrated in 75.5% of the studied population. Studies were found to be of generally low quality, with the majority composed of retrospective case series. Based on current available evidence found in this systematic review, local random flaps demonstrated a relatively high success rate when utilized for the definitive closure of diabetic foot wounds. However, because of a lack of high-quality evidence and substantial heterogeneity among the studies, the results should be interpreted with caution. Levels of Evidence: Level III: Systematic review
The value of glacier mass balance, satellite snow cover images, and hourly discharge for improving the performance of a physically based distributed hydrological model

Physically based hydrological models describe natural processes more accurately than conceptual models but require extensive data sets to produce accurate results. To identify the value of different data sets for improving the performance of the distributed hydrological model TOPKAPI we combine a multivariable validation technique with Monte Carlo simulations. The study is carried out in the snow and ice‐dominated Rhonegletscher basin, as these types of mountainous basins are generally the most critical with respect to data availability and sensitivity to climate fluctuations. Each observational data set is used individually and in combination with the other data sets to determine a subset of best parameter combinations out of 10,000 Monte Carlos runs performed with randomly generated parameter sets. We validate model results against discharge, glacier mass balance, and satellite snow cover images for a 14 year time period (1994–2007). While the use of all data sets combined provides the best overall model performance (defined by the concurrent best agreement of simulated discharge, snow cover and mass balance with their respective measurements), the use of one or two variables for constraining the model results in poorer performance. Using only one data set for constraining the model glacier mass balance proved to be the most efficient observation leading to the best overall model performance. Our main result is that a combination of discharge and satellite snow cover images is best for improving model performance, since the volumetric information of discharge data and the spatial information of snow cover images are complementary.
Retinal and Cerebral Microvasculopathy: Relationships and Their Genetic Contributions.

Purpose Retinal microvasculopathy may reflect small vessel disease in the brain. Here we test the relationships between retinal vascular parameters and small vessel disease, the influence of cardiovascular risk factors on these relationships, and their common genetic background in a monozygotic twin cohort. Methods We selected 134 cognitively healthy individuals (67 monozygotic twin pairs) aged ≥60 years from the Netherlands Twin Register for the EMIF-AD PreclinAD study. We measured seven retinal vascular parameters averaged over both eyes using fundus images analyzed with Singapore I Vessel Assessment. Small vessel disease was assessed on MRI by a volumetric measurement of periventricular and deep white matter hyperintensities. We calculated associations between RVPs and WMH, estimated intratwin pair correlations, and performed twin-specific analyses on relationships of interest. Results Deep white matter hyperintensities volume was positively associated with retinal tortuosity in veins (P = 0.004) and fractal dimension in arteries (P = 0.001) and veins (P = 0.032), periventricular white matter hyperintensities volume was positively associated with retinal venous width (P = 0.028). Intratwin pair correlations were moderate to high for all small vessel disease/retinal vascular parameter variables (r = 0.49-0.87, P < 0.001). Cross-twin cross-trait analyses showed that retinal venous tortuosity of twin 1 could predict deep white matter hyperintensities volume of the co-twin (r = 0.23, P = 0.030). Within twin-pair differences for retinal venous tortuosity were associated with within twin-pair differences in deep white matter hyperintensities volume (r = 0.39, P = 0.001). Conclusions Retinal arterial fractal dimension and venous tortuosity have associations with deep white matter hyperintensities volume. Twin-specific analyses suggest that retinal venous tortuosity and deep white matter hyperintensities volume have a common etiology driven by both shared genetic factors and unique environmental factors, supporting the robustness of this relationship.
The Cambrian trilobites of Jordan - taxonomy, systematic and stratigraphic significance

Marine carbonates and siliciclastic rocks of the Burj Formation in Jordan include paucispecific trilobite associations of the (traditional) Lower–Middle Cambrian boundary interval. Comprehensive new material of these trilobites allows a review of their taxonomy and systematic positions as well as a refined morphological description and a reconsideration of previous interpretations of their stratigraphic position and thus the correlation of the fossiliferous beds. In addition to the classic species Kingaspis campbelli (King, 1923) and Redlichops blanckenhorni Richter and Richter, 1941, Timnaella ? orientalis (Picard, 1942) and Hesa problematica Richter and Richter, 1941, the discussed trilobites include Issalia gen. nov. with Issalia scutalis gen. nov., sp. nov., Tayanaspis gen. nov. with Tayanaspis bulbosus gen. nov., sp. nov., Uhaymiria gen. nov. with Uhaymiria glabra gen. nov., sp. nov., Cambrunicornia ? jafnaensis sp. nov., Myopsolenites palmeri (Parnes, 1971), M. hyperion sp. nov., and Enixus cf. antiquus (Chernysheva, 1956). Myopsolenites boutiouiti Geyer and Landing, 2004 is now regarded as a junior synonym of Myopsolenites altus (Linan and Gozalo, 1986). A detailed discussion of the correlation with a focus on global aspects provides clues for the utility of potential index fossils for the global Cambrian Series 3 and Stage 5.
Dusting Efficiency of the Moses Holmium Laser: An Automated In Vitro Assessment.

INTRODUCTION Moses technology is a novel Holmium:YAG laser system designed to minimize stone retropulsion and improve stone ablation when the laser is not in direct contact with the stone. Our aim was to assess the efficiency of Moses technology relative to short- and long-pulse lithotripsy using an automated in vitro "dusting model" of stone comminution. METHODS All tests were conducted using a Lumenis Pulse 120H Holmium:YAG laser with a 365 μm Moses D/F/L fiber. "Hard" (15:3) and "soft" (15:6) Begostones mimicking calcium oxalate monohydrate and uric acid stones, respectively, were used. To assess ablation efficiency and fiber tip degradation, a dusting model was employed: the laser was moved by a three-dimensional positioning system in a spiral motion across a flat Begostone surface submerged in water. Ablation efficiency was measured as stone mass loss after 4 kJ of energy delivery. Fiber tip degradation was measured at 1 kJ intervals. Comparative trials with short pulse, long pulse, Moses contact, and Moses distance settings were completed with the laser tip positioned at 0, 1, and 2 mm distances from the stone at energy settings of 0.4 J delivered at 70 Hz. RESULTS In our dusting model, stone ablation was significantly greater the closer the laser was to the stone. On hard stones, pulse type did not have a significant impact on ablation at any distance. On soft stones at 0 mm, Moses contact produced the greatest ablation, significantly greater than long pulse (p < 0.05). At 1 mm, Moses distance produced significantly greater ablation than all other settings (p = 0.025) and was as effective as long or short pulse at 0 mm. At 2 mm distance, no pulse type demonstrated significantly different ablation. Fiber tip degradation was minimal and not significant between settings. CONCLUSIONS Moses technology delivers greater ablation of soft stones when in contact and 1mm from the stone surface.