Miracle-dz/UniFAR-FTUs huggingface dataset:
Hajji Firuz Tepe, Iran : the Neolithic settlement

Any consideration of the Iranian plateau must include the important site of Hasanlu in northern Iran. The Museum carried out excavations from 1956 through 1977. A major aspect of the research focused on the Iron Age settlement. This fortified town was attacked around 800 B.C. The attack and accompanying fire caused the rapid collapse of public buildings. Thus, the site provides a unique opportunity to examine a wide range of objects and materials still in the contexts in which they were stored. University Museum Monograph, 50
An analysis of refugees' use of ICT: languages and limitations

: The aim of this work is to analyse the use of ICT among refugees. In order to achieve this aim, we have conducted an ethnography, by collecting questionnaires and administering interviews to refugees living in Italy. The results of this research show the way TV and mobile phones are utilized by refugees and how each device is connected to a different language use. The peculiar condition of being a refugee greatly affects the usage of ICT. This is mainly due to the limitations that this condition implies both on ICT and language use.
Psychology and law : an empirical perspective

Brewer, Williams, Semmler, Psychology and Law Research: An Overview. Powell, Fisher, Wright, Investigative Interviewing. Granhag, Vrij, Deception Detection. Pansky, Koriat, Goldsmith, Eyewitness Recall and Testimony. Dickinson, Poole, Laimon, Children's Recall and Testimony. Brewer, Weber, Semmler, Eyewitness Identification. Gerrie, Garry, Loftus, False Memories. Studebaker, Penrod, Pretrial Publicity and its Influence on Juror Decision Making. Williams, Jones, Trial Strategy and Tactics. Kerr, Bray, Simulation, Realism, and the Study of the Jury. Levett, Danielsen, Kovera, Cutler, The Psychology of Jury and Juror Decision Making. Ogloff, Rose, The Comprehension of Judicial Instructions. Goodman-Delahunty, J. ForsterLee, R. ForsterLee, Dealing with the Guilty Offender. Wells, Helping Experimental Psychology Affect Legal Policy.
Homogenization and miniaturization of habitat structure in temperate marine 1 forests 2

29 30 Humans are rapidly transforming the configuration of the planet ’ s ecosystems. Understanding the 31 ecological and socioeconomical repercussions of these changes is however challenged by the diversity of 32 drivers and species characterizing such shifts at local and regional scales. Here we show that the loss of 33 forest-forming seaweeds and the rise of ground-covering ‘turfs’ across four continents consistently 34 resulted in the simplification of underwater habitat structure, with seascapes converging towards 35 flattened habitats that were structurally more homogenous and less complex than forests. Surprisingly, 36 convergence occurred despite these seascapes consisting of vastly different species richness and seaweed 37 groups providing architecture, as well as disparate drivers of forest loss. We also found that turf-driven 38 habitat structural changes across 100s of km resulted in extensive reductions (1300%) in ecosystem 39 carbon storage and massive increases (2300%) in the accumulation and retention of sediments on reefs. 40 Indeed, high amounts of sediments where found in all the regions studied, probably as a result of the high 41 sediment trapping efficiency of turfs. Together, this work demonstrates that the replacement of marine 42 forests by turfs is a generalizable phenomenon that has profound consequences for the ecology of 43 temperate reefs. 44 45
Higher regular fat dairy consumption is associated with lower incidence of metabolic syndrome but not type 2 diabetes

Background and aims Limited evidence suggests habitual dairy consumption to be protective against metabolic syndrome (MetSyn) and type 2 diabetes among older adults. We assessed the association of baseline consumption of dairy products with the incidence of MetSyn and type 2 diabetes among a cohort of Australian adults aged 49 years and over. Methods and results A validated 145-item semi-quantitative food frequency questionnaire was used to assess food and nutrient intake at baseline. Ten-year incidence of MetSyn and type 2 diabetes were obtained from 1807 and 1824 subjects respectively. Odds ratios (OR) were calculated by discrete time logistic regression modelling. Compared with subjects in the lowest intake quartile of regular fat dairy products, those in the highest quartile had a 59% lower risk of MetSyn (multivariate adjusted OR: 0.41; 95% CI: 0.23-0.71; ptrend = 0.004), after adjustment for risk factors. Among obese subjects, an association between a high intake of regular fat dairy foods and reduced risk of type 2 diabetes was also found (age and sex adjusted OR 0.37; 95% CI: 0.16-0.88; ptrend = 0.030), but the association did not persist after adjustment for additional confounders. There was no association between total dairy consumption and risk of MetSyn or type 2 diabetes. Conclusions We found an inverse association between regular fat dairy consumption and risk of MetSyn among Australian older adults. Further studies are warranted to examine the association between weight status, dairy consumption and risk of type 2 diabetes.
Hydrogeological and Speleometeorological Dynamics of the Prometheus and Sataplia Show-Caves, Imereti, Georgia

Prometheus Cave Water Dynamics Rainwater enters the cave relatively quickly at several places therefore guided cave tours should be stopped during strong and long lasting storms Water at the lower part of the cave runs as a small brook with a few litres per second (low flow first week of March 2014) up to approximately 1 cubic meter per second during strong floods During low water flow in March the microbiological contamination is high and in agreement with traces of artificial sweeteners and corrosion inhibitorsindicating inflow of domestic waste water into the cave The recharge area of the cave waters should be mapped and waste water treatment of houses and farms in this area should be managed and monitored.
ANALYSIS OF THE EFFECT OF THE INTERACTIONS AMONG THREE PROCESSING VARIABLES FOR THE PRODUCTION OF EXOPOLYSACCHARIDES IN THE MICROALGAE Scenedesmus

Microalgae are capable of producing biomolecules that have a wide variety of applications in agriculture, food industry, and medicine. In this study, three process variables are evaluated in order to determine its incidence on biomass and exopolysaccharides production. The effect of light intensity, agitation and carbon concentration on Scenedesmus obliquus (UTEX 393) growth and expolysaccaharides production is evaluated using 2 3 factorial design through the screening methodology. The simultaneous effect of level variation for three different experimental variables is examined in the present study in three levels for each parameter (Light intensity: 80, 130, 180 μ E m -2 s -1 , Agitation: 0, 600, 1200 rpm, carbon concentration 0, 2, 4% v/v Air-CO 2 ). Specific growth rate and the exopolysaccharides concentration are the selected response variables. Results show that the optimal conditions for the two response variables correspond to the maximum levels of the three experimental variables (180 μ E m -2 s -1 , 4% air-CO 2 , and 1200 rpm), obtaining a specific growth rate of 0.64 d -1 and a exopolysaccharides concentration of 24.7 mg L -1 . A significant interaction between the variables is observed, which has direct effects on cellular growth and exopolysaccharides production. The EPS production is facilitated by the turbulent flow (agitation maximum level), which is associated with a higher availability and better distribution of energy sources (light) and carbon dioxide. The validation of polynomials models verifies the relevance of the analysis performed.
Title : Head down tilt 15 ° in experimental intracerebral hemorrhage : a randomized non-inferiority safety trial

Background: Head down tilt 15° (HDT15°), applied before recanalization, increases collateral flow and improves outcome in experimental ischemic stroke. For its simplicity and low cost, HDT15° holds considerable potential to be developed as an emergency treatment of acute stroke in the pre-hospital setting, where hemorrhagic stroke is the major mimic of ischemic stroke. In this study, we assessed safety of HDT15° in the acute phase of experimental intracerebral hemorrhage.
The Effects of Acute Stress on Human Prefrontal Working The Effects of Acute Stress on Human Prefrontal Working Memory Systems Memory Systems

We examined the relationship between acute stress and prefrontal-cortex (PFC) based working memory (WM) systems using behavioral (Experiment 1) and functional magnetic resonance imaging (fMRI; Experiment 2) paradigms. Subjects performed a delayed-response item-recognition task, with alternating blocks of high and low WM demand trials. During scanning, participants performed this task under three stress conditions: cold stress (induced by cold-water hand-immersion), a room temperature water control (induced by tepid-water hand-immersion), and no-water control (no hand-immersion). Performance was affected by WM demand, but not stress. Cold stress elicited greater salivary cortisol readings in behavioral subjects, and greater PFC signal change in fMRI subjects, than control conditions. These results suggest that, under stress, increases in PFC activity may be necessary to mediate cognitive processes that maintain behavioral organization.
Stochastic Simulation Algorithm for effective spreading dynamics on Time-evolving Adaptive NetworX (SSATAN-X)

Modelling and simulating of pathogen spreading has been proven crucial to inform containment strategies, as well as cost-effectiveness calculations. Pathogen spreading is often modelled as a stochastic process that is driven by pathogen exposure on time-evolving contact networks. In adaptive networks, the spreading process depends not only on the dynamics of a contact network, but vice versa, infection dynamics may alter risk behaviour and thus feed back onto contact dynamics, leading to emergent complex dynamics. However, stochastic simulation of such processes is currently computationally prohibitive. To overcome this computational bottleneck, we propose SSATAN-X. The key idea of this algorithm is to only capture contact dynamics at time-points relevant to the spreading process. We demonstrate that the statistics of the contact- and spreading process are accurate, while achieving ∼ 100 fold speed-up over exact stochastic simulation. SSATAN-X’s performance increases further when contact dynamics are fast in relation to the spreading process, as applicable to most infectious diseases. We envision that SSATAN-X may extend the scope of analysis of pathogen spreading on adaptive networks. Moreover, it may serve to create benchmark data sets to validate novel numerical approaches for simulation, or for the data-driven analysis of the spreading dynamics on adaptive networks.
Applying the European hydroacoustic standard on fish abundance estimation (EN 15910) Survey experiences from three European countries

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Applying the European hydroacoustic standard on fish abundance estimation (EN 15910) Survey experiences from three European countries Thomas Axenrot, Jean Guillard, Milan Riha, Michal Tušer, Leonard Sandin
Analysis with

In this paper we describe our attempt at producing a state-of-the-art sentiment classifier using Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTMs) networks. Our sys-tem leverages a large amount of unlabeled data to pre-train word embeddings. We then use a subset of the unlabeled data to fine tune the embeddings using distant supervision. The final CNNs and LSTMs are trained on the SemEval-2017 Twitter dataset where the embeddings are fined tuned again. To boost performances we ensemble several CNNs and LSTMs together. Our approach achieved first rank on all of the five English subtasks amongst 40 teams.
Experimental evidence for asymmetrical species recognition in East African Ophthalmotilapia cichlids

This experiment aims to examine whether asymmetric hybridization discovered in wild populations has a behavioural basis that can be uncovered in the lab. The aim is to test a case of prezygotic, behavioural isolation. There is a nice experimental design, and some clear predictions that one could make about female behaviours in response to conspecific and heterospecific males (and females). One notable limitation of the study is the lack of comparison between conspecific and heterospecific males and females in both species, acknowledged in the Discussion. Another important limitation acknowledged by the authors is that their experiment seemed to “observe(d) the routine behaviour of a (isolated) female that encounters a conspecific individual, rather than sexually motivated behaviour”. I have some concerns that this rather undermines the main premise of the work, since sexually motivated behaviour would be crucial to understand in order to successfully address the main question the authors identify. The paper says “we may expect that the early response to conspecific and heterospecific mates will predict the outcome of the mating process to a substantial degree. We test this hypothesis using a cichlid model. ” but this is contradicted by the acknowledgement that they are not assessing sexually motivated behaviour. From the point of view of the statistical analysis, I found the approach lacking a clear direction and hypothesis test. There is a very clear prediction here - that specific behaviours should reduce. Why is the exploratory analysis needed? Why “without defining a priori in what variable specimens would differ. ” ? I would consider replacing it with a GLMM which tests specific defined behaviours as a dependent variable, and includes gonad weight, before/after1/after2, treatment and species in the model (as well as non-focal male behaviour, which could be confounding the experiment). If you think that multivariate analysis is important, PCs could be used instead of single behaviours of interest. In general, although the PCs might be helpful
Entrepreneurial Ecosystems

This paper reviews and discusses the emergent entrepreneurial ecosystem approach. Entrepreneurial ecosystems are defined as a set of interdependent actors and factors coordinated in such a way that they enable productive entrepreneurship within a particular territory. The purpose of this paper is to critically investigate the emerging literature on entrepreneurial ecosystems. Current work on ecosystems is underdeveloped, focusing more on superficial generalizations based on successful case studies such as Silicon Valley or Boulder, Colorado rather than on rigorous social science research. The paper provides a review of the multiple definitions of ecosystems found within the literature, and discusses the relationships between ecosystems and allied concepts such as industrial districts, clusters, and innovation systems. The paper concludes by discussing an integrative model that connects the functional attributes of entrepreneurial ecosystems (including framework conditions and systemic conditions) with entrepreneurial outputs and welfare outcomes. The framework conditions consist of the social (informal and formal institutions) and physical conditions enabling or constraining human interaction. Systemic conditions are the heart of the ecosystem and include networks of entrepreneurs, leadership, finance, talent, knowledge, and support services.
Towards a Holistic Approach to Verification and Validation of Autonomous Cognitive Systems

When applying formal verification to a system that interacts with the real world we must use a model of the environment. This model represents an abstraction of the actual environment, so it is necessarily incomplete and hence presents an issue for system verification. If the actual environment matches the model, then the verification is correct; however, if the environment falls outside the abstraction captured by the model, then we cannot guarantee that the system is well-behaved. A solution to this problem consists in exploiting the model of the environment used for statically verifying the system’s behaviour and, if the verification succeeds, using it also for validating the model against the real environment via runtime verification. The paper discusses this approach and demonstrates its feasibility by presenting its implementation on top of a framework integrating the Agent Java PathFinder model checker. A high-level Domain Specific Language is used to model the environment in a user-friendly way; the latter is then compiled to trace expressions for both static formal verification and runtime verification. To evaluate our approach, we apply it to two different case studies, an autonomous cruise control system, and a simulation of the Mars Curiosity rover.
Spatial evolution of the energy industry in Hebei province and drivers of green productivity factors

Energy security has become the focus of common attention of all countries in the world. It is an effective way to promote the transformation of energy consumption structure from fossil energy consumption to renewable energy consumption at present. Based on the current development status of China, this paper mainly studies the spatial evolution process of the traditional energy and the renewable energy industry in He-bei province from the perspective of space and time, and analyzes the in ﬂ uencing factors in this process. The results are as follows: (1) Moran ’ s I of the traditional energy industry increased from 0.254515 in 2005 to 0.289301 in 2021. Moran ’ s I of the renewable energy industry increased from 0.31409 in 2005 to 0.426467 in 2021. This indicates the energy transition in Hebei is progressing. It is worth noting that the wind and solar energy industries are both higher than the national average; (2) the spatial diffusion effect of the energy industry in Hebei province becomes more and more signi ﬁ cant with the transformation of regional energy industry, forming a spatial distribution trend of southwest to northeast axial diffusion; (3) from 2005 to 2018, the number of green productivity factors affecting the development of both traditional and renewable energy industries increased from 2 to 6. The transformation process of the energy industry in Hebei province is in ﬂ uenced by different factors in different temporal stages.
Pharmacological Interventions to Improve Muscle Mass, Muscle Strength and Physical Performance in Older People

Background Sarcopenia, defined as the pathological decline in muscle mass, muscle strength and physical performance with ageing, has become one of the geriatric giants because of its increasing prevalence and devastating health effects. The Belgian Society of Gerontology and Geriatrics (BSGG) is currently developing evidence based guidelines in the prevention and therapy of sarcopenia, which can be used in broad clinical practice. This systematic review summarizes the results of the working group on Pharmacology. Objective The objective is to provide an evidence-based overview of the possible pharmacological interventions for sarcopenia with a focus on the interventions that are already studied in systematic reviews or meta-analyses. Methods We used the method of a systematic
Characteristics of the Abscess Capsule with Pyogenic Brain Abscesses at 1.5T: Susceptibility-Weighted Imaging in Patients

BACKGROUND AND PURPOSE: SWI is a high-resolution 3D, fully velocity-compensated gradient-echo sequence that uses both magnitude and phase data. The purpose of this study was to investigate the phase behavior of the capsule of pyogenic brain abscesses with noncontrast SWI. MATERIALS AND METHODS: Fourteen patients with pyogenic brain abscesses were studied at 1.5T. In all of the patients, SWI images were obtained and reviewed in addition to conventional MR images. Phase values within the abscess capsule were measured and compared with those from the abscess cavities and contralateral normal white matter using 1-way repeated measures ANOVA with post hoc Bonferroni analysis. RESULTS: SWI phase images showed mild hypointesity in 6 patients, isointensity in 3 patients, and mixed iso-to mild hypointensity in 5 patients. The means of phase in the cavity, rim of abscesses, and contralateral normal white matter were –7.552 (cid:1) 10 (cid:2) 3 (cid:3) 0.024, –0.105 (cid:3) 0.080, and (cid:4) 0.029 (cid:3) 0.011 radians, respectively. Post hoc comparisons showed significant differences between any pair of the 3 regions (abscess cavity, rim capsule, and normal white matter) in SWI (all P s (cid:5) . 005). CONCLUSIONS: SWI phase imaging shows evidence of paramagnetic substances in agreement with the presence of free radicals from phagocytosis. SWI may provide additional information valuable in the characterization of pyogenic brain abscesses. ABBREVIATIONS:
Expanding Well-Being by Participating in Grassroots Innovations: Using the Capability Approach to Explore the Interest of Alternative Food Networks for Community Social Services

Grassroots social innovations are citizen-led initiatives that develop bottom-up solutions to societal challenges. Alternative food networks (AFNs) are innovations which propose alternative schemes for distribution and consumption of food— such as community-based agriculture or food cooperatives—which can improve the well-being of participants. Its potential for social work and social services has been recognised, but remains underexplored. This paper proposes a theoretical framework based on the capability approach in order to explore the impacts, drivers and factors at play in the expansion of well-being in participants in AFNs. This framework is applied to address seven cases of different kind of AFNs in Valencia (Spain) and to explore implications and strands of action so community social services can make use of AFNs. The study draws on information from thirteen inter-views with participants of AFNs, local experts and policymakers; from secondary sources and from participant observation. It deductively uses the categories in the framework and inductively identifies specific capabilities, drivers and factors. The results show that AFNs expand well-being in several aspects of human experience. They are highly diverse, from more reformist to more radical, so they can mobilise different publics. Social services can benefit from this impact and diversity.
Payment Splitting in Lightning Network as a Mitigation Against Balance Discovery Attacks

Bitcoin has a low throughput of around 7 transactions per second. The Lightning Network (LN) is a solution meant to improve that throughput while also improving privacy. LN is a Payment Channel Network (PCN) that runs as a peer-to-peer network on top of Bitcoin and improves scalability by keeping most transactions off-chain without sacrificing the trustless character of Bitcoin. Prior work showed that LN is susceptible to the Balance Discovery Attack that allows for individual channel balances to be revealed, threatening users’ privacy. In this work we introduce Payment Splitting and Switching (PSS), a way of splitting up payments in LN at intermediary hops along the payment path. PSS drastically reduces the information an attacker can obtain through a BDA. Using real-world data in an LN simulator we demonstrate that the information gain for the attacker drops up to 62% when PSS is deployed. Apart from its potential as mitigation against BDA, PSS also shows promise for increased LN throughput and as a mitigation against jamming attacks.