Miracle-dz/UniFAR-FTUs huggingface dataset:
DETERMINATION OF ASPARTATE AMINOTRANSFERASE AACTIVITY IN CRERVICULAR FLUID IN GINGIVITIS

هصلاخ هـک دـنا هداد ناـشن هــ یلوا تاقیقحت و تاعلاطم ،دراد دوجو یاهثل رایش عیام رد هک تسا یمیزنآ ،زارفسنارتونیمآ تاتراپسآ :فدهو هقباس مــ یزنآ تیلاعف یریگهزادنا شهوژپ نیا فده . دشاب هتشاد دوجو طابترا یاهثل باهتلا و تفاب بیرخت اب میزنآ نیا تیلاعف نیب تسا نکمم صیخــشت یارب یکشزپنادند هدکشناد یژولوتندویرپ شخب هب هدننک هعجارم لاتندویرپ نارامیب یاهثل رایش عیام رد زارفسنارتونیمآ تاتراپسآ . تسا لاتندویرپ باهتلا اب لاتندویرپ رامیب رفن 96 رد لاسکی تدم رد زارفسنارتونیمآ تاتراپسآ میزنآ تیلاعف یدروم -دهاش قیقحت نیا رد :اهشورو داوم یاـهشور اـب تفاـب یـگدنبـسچ نداد تسد زا و یزیرنوخ سکدنیا و باهتلا سکدنیا ،کلاپ سکدنیا . تفرگ رارق یسررب دروم طسوتم تاتراپـسآ مـیزنآ تیلاـعف و ماـجنا یریـگهـنومن یاهـثل رایـش عیام زا هقیقد 3 ات هیناث 30 تدم رد و دنتفرگ رارق یسررب دروم درادناتسا . دش یریگهزادنا درادناتسا شور اب زارفسنارتونیمآ
Centre for Urban Economics and Real Estate Working Paper 2010– 02 Uneven Landscapes and the City Size Distribution

This paper proposes a new explanation for Zipfs law often observed in the top tail of city size distribution. We show that Zipfs law can emerge if city size can be expressed as a product of multiple random factors. Each of the factors need not generate Zipfs law by itself. The key implication is that we cannot reject a model simply because the model does not generate Zipfs law. A single model, typically representing only one factor, may not generate Zipfs law, but if we have many such models together as in reality, Zipfs law may emerge. JEL Classi cation Codes: D39, R12
A High Precision Method for Aspect Extraction in Russian

This paper presents a work carried out by ISPRAS on aspect extraction task at SentiRuEval 2015. Our team submitted one run for Task A and Task B and got best precision for both tasks for all domains among all participants. Our method also showed the best F1-measure for exact aspect term matching for task A for automobile domain and both for Task A and Task B for restaurant domain. The method is based on sequential classification of tokens with SVM. It uses local, global, syntactic-based, GloVe, topic modeling and automatic term recognition features. In this paper we also present evaluation of significance of different feature groups for the task.
A NEW ROBUST METHOD FOR BRIDGE DETECTION FROM HIGH RESOLUTION ELECTRO-OPTIC SATELLITE IMAGES

In this paper, an automatic approach for identifying bridges over water in satellite images is proposed. The proposed algorithm has three main steps. It starts with extracting the water regions in the satellite image by thresholding the NIR and clustering the NDWI images. Next possible river and water canals in the extracted water mask are identified by certain geometric constraints. Finally possible bridge regions are extracted by morphological operations applied to the water and river-canal mask. An optional step for verifying the bridge regions are also proposed in the study. The verification step uses orientation information or road mask for obtaining higher precision values. Tests are conducted using the proposed approach on different satellite images and quantitative and visual results showed that algorithm is successful in identifying different sized bridges over water.
Evaluation of Offshore Wind Simulations with MM5 in the Japanese and Danish Coastal Waters

In order to evaluate the accuracy of offshore wind simulation with the mesoscale model MM5, long-term simulations are performed for Ise Bay, located in central Japan, and for Horns Rev, located off the west coast of Denmark, and the accuracy of the simulations is evaluated using in situ measurements at both sites. In the Ise Bay case, the simulation is done for one year, and the evaluation using measurements at a marine tower with an anemometer at 18 m shows that the biases of monthly mean wind speeds are -1.46 to 0.00 m/s (-30.7 to 0.0 % of the mean wind speed), the root-mean-square errors (RMSEs) are 2.14 to 3.11 m/s (32.7 to 54.3 %) and correlation coefficients are 0.52 to 0.82. In the Horns Rev case the simulation is performed for one month, and the biases, RMSEs and correlation coefficients for four anemometers on a meteorological mast (10 m, 30 m, 45 m, and 62 m heights) are -0.25 to 0.41 m/s (-2.2 to +4.5 % of the mean wind speed), 1.37 to 1.46 m/s (12.5 to 16.2 %) and 0.92 to 0.95, respectively. The accuracy for Ise Bay is found to be more than twice as bad as that for Horns Rev, in terms of the relative RMSE. This suggests a difficulty to simulate offshore wind conditions in the Japanese coastal waters even using a mesoscale model, compared to the Danish ones. This is mainly due to the complexity of the wind climate strongly influenced by dynamical effects from complex terrains and thermodynamical effects such as land-sea breezes.
Advanced Aging Enhances the Positivity Effect in Memory: Due to Cognitive Control or Age-Related Decline in Emotional Processing?

Older adults typically remember more positive than negative information compared to their younger counterparts; a phenomenon referred to as the ‘positivity effect. ’ According to the socioemotional selectivity theory (SST), the positivity effect derives from the age-related motivational shift towards attaining emotionally meaningful goals which become more important as the perception of future time becomes more limited. Cognitive control mechanisms are critical in achieving such goals and therefore SST predicts that the positivity effect is associated with preserved cognitive control mechanisms in older adults. In contrast, the aging-brain model suggests that the positivity effect is driven by an age-related decline in the amygdala which is responsible for emotional processing and emotional learning. The aim of the current research was to address whether the age-related positivity effect is associated with cognitive control or impaired emotional processing associated with aging. We included older old adults, younger old adults and younger adults and tested their memory for emotional stimuli, cognitive control and amygdala-dependent fear conditioned responses. Consistent with prior research, older adults, relative to younger adults, demonstrate better memory for positive over negative images. We further found that within a group of older adults, the positivity effect increases as a function of age, such that older old adults demonstrated a greater positivity effect compared to younger older adults. Furthermore, the positivity effect in older old adults was associated with preserved cognitive control, supporting the prediction of SST. Contrary to the prediction of the aging-brain model, participants across all groups demonstrated similar enhanced skin conductance responses to fear conditioned stimuli – responses known to rely on the amygdala. Our results support SST and suggest that the positivity effect in older adults is achieved by the preserved cognitive control mechanisms and is not a reflection of the impaired emotional function associated with age.
A tailored authentication and key management for smart grid

Smart Grid (SG) is a vulnerable system and can be attacked even from aboard, attacks that may cause different level of costly issues and harms on the society as well as on the system devices. Furthermore, in SG we have a variety of subsystems and applications as well as networks which are working together as a System of System (SoS) model. Therefore one of the most challenging topic in the SG development is security and privacy. Designing a mutual authentication scheme and then a key management protocol are the first tailored steps of designing and implementing the security aspects of any system like SG. In this paper we improve and implement the Secure Remote Password protocol to reach a mutual authentication scheme between a Home Area Network (HAN) Smart Meter (SM) and an authentication server in SG using an initial password. We propose using the Public Key Infrastructure for the SG communications, for instance between SM and aggregator (outside of HAN). Also, in order to have an efficient key management protocol, we follow an enhanced model of the Identity-Based cryptography so-called EIBC. Our proposed mechanisms are capable of preventing various attacks, and at the same time, improves the network overhead caused by the key management controlling packets. In fact, mostly by generating and broadcasting only one function periodically by the key generator entity, our protocol simply refreshes entire nodes public/private key pairs as well as multicast required keys, if any.
Design and Implementation of a Structural Health Monitoring System for a Large Sea-Crossing Project with Bridges and Tunnel

Even though large-scale projects, such as sea-crossing bridges and tunnels, have complex structures and service conditions, the structural health monitoring (SHM) system can comprehensively monitor the stress situation and damage evolution law in the entire construction and service process of such structures. Based on the background of the Hong Kong–Zhuhai–Macao Bridge, this study systematically introduces the overall goal and framework of the SHM system, monitoring content, and sensor information. Moreover, the structural health condition evaluation methods and data analysis methods are presented in detail. Then, on the basis of a multilayer data storage system, a fault-tolerant data center platform design, an open integrated supervision platform design, and other measures, a set of reliable and advanced large-scale software systems are built to achieve the SHM system for the Hong Kong–Zhuhai–Macao Bridge. Finally, the wind characteristics around the Hong Kong–Zhuhai–Macao Bridge and some of the monitored structural responses from the Super Typhoon Mangkhut in 2018 are shown, which verified that the SHM system can accurately and reliably monitor and feedback the environmental load and structural response of the principal parts of the Hong Kong–Zhuhai–Macao Bridge under complicated service environment.
Modeling of polymer blends for automotive industry by multiscale molecular simulations

The design and production of car lights often involve the mandatory choice of a given techno polymeric material, characterized by high thermal resistance, to be employed in small working areas and/or in the proximity of a light source. Further, these materials should possess enhanced performances with respect to impact resistance. A typical example is constituted by the so-called highimpact poly(methyl methacrylate), or PMMA. The drawback of these choices is, quite often, the elevate cost of such materials, mainly ascribable to the lack of market alternatives. Accordingly, the price difference between conventional and specialty polymers can constitute a vital problem for those industries which operate with highly restricted margins, as the automotive sector. A valid alternative, therefore, could be recycling of PMMA industrial scraps, its addition to the virgin polymer (in amounts not exceeding 15%) and further engineerization, by blending with polycarbonate (PC) in order to enhance its impact resistance and reduce costs deriving from additives. In this work Aim we applied a mesoscale simulation approach to study the equilibrium morphology of methacrylate blends of special interest in the automotive industry. To this purpose, we developed a procedure, based on atomistic molecular dynamic simulations, to derive the necessary input parameters for the successive mesoscale calculations, such as the architecture of the Gaussian chains, the FloryHuggins interaction parameters and the bead selfdiffusion coefficients.
BrainData – Modular software for synchronous data recording from BCI

Nowadays the importance of EEG signal processing for scientists and software developers is growing steadily. They constantly need reliable and quality raw data for their research. One of the problems is synchronizing the different data. The accurate and unambiguous identification of experiment results demands exact and high quality data to be received from the Brain Computer Interface (BCI) device. For this purpose we need a software which allows to record what the participants see and feel during the experiment and ensures its planning and realization. During the experiment we also need to have the opportunity to simultaneously record and process BIG DATA[3]. This includes different types of data recorded at the same time, such as: raw data from the BCI, display of participant’s visual percetion, video recording of the experiment and others. For this purpose The system should allow interoperability receiving data from the BCI system, data processing, data exporting, communication with other systems and apps, which can use this type of data. BrainData is a modular software for synchronous data recording from BCI and surrounding environment during experiments.
DFT Study on Interaction of Estrone and Imidazolium-Based Hydrophobic Ionic Liquids

Affinity of estrone on imidazolium-based hydrophobic ionic liquids was computed at the B3LYP/6-31G(d) level. Columbian interactions and other closed-shell interactions, in general, were observed to be pivotal to the binding of the EDC species on visualizing the optimized structures as well as probing the proximity of electronegative and electropositive groups between estrone and ionic liquids. The interaction strength was also studied using calculation of binding energy values of each system. [BMIM] + [PF6] − was found to be the most binding ionic liquid. Estrone was found to be highly bonded in the vicinity of [PF6] − species with a binding energy of − 9.57 kcal/mol. The Ionic Liquids under study, [BMIM] + [NTF2] − and [BMIM] + [BF4] − , also illustrated promising binding nature with binding energies of − 7.63 and − 8.61 kcal/mol. AIM analysis was carried out to validate the nature of intermolecular interactions by calculating the topological properties at (3, − 1) bond critical points.
OECD TEST GUIDELINE FOR THE TESTING OF CHEMICALS BASED ON KEY EVENTS

1. A skin sensitiser refers to a substance that will lead to an allergic response following skin contact as defined by the United Nations Globally Harmonized System of Classification and Labelling of Chemicals (UN GHS) (1). There is general agreement on the key biological events underlying skin sensitisation. The current knowledge of the chemical and biological mechanisms associated with skin sensitisation has been summarised as an Adverse Outcome Pathway (AOP) (2), starting with the molecular initiating event through intermediate events to the adverse effect, namely allergic contact dermatitis. In this instance, the molecular initiating event (i.e. the first key event) is the covalent binding of electrophilic substances to nucleophilic centres in skin proteins. The second key event in this AOP takes place in the keratinocytes and includes inflammatory responses as well as changes in gene expression associated with specific cell signalling pathways such as the antioxidant/electrophile response element (ARE)-dependent pathways. The third key event is the activation of dendritic cells (DC), typically assessed by expression of specific cell surface markers, chemokines and cytokines. The fourth key event is T-cell activation and proliferation, which is indirectly assessed in the murine Local Lymph Node Assay (LLNA) (3).
Polyion monolayers and halos around large weakly-charged colloids

In this paper we present a theory for the structure of a suspension of highly charged spherical polyions near the surface of a much larger but more weakly charged spherical colloid. Starting from a level of description involving e1ective screened Coulomb potentials between the particles of both species, we calculate the radial distribution function of the polyions around isolated big colloids. Our theory is based on the use of the Ornstein–Zernike integral equation, complemented with the hyper-netted chain approximate closure, whose numerical solutions are selectively contrasted with the results of Monte Carlo simulations generated for this purpose. Our results indicate that, under certain conditions, our model suspension of polyions is predicted to adsorb onto the surface of the larger colloid, even if both species carry charges of the same sign. Under extreme conditions, the structure of the collection of adsorbed particles corresponds strictly to a monolayer, strongly bound to the surface of the larger particle by electrostatic forces. The complex formed by one large particle plus its adsorbed polyions then bears a large e1ective charge, which may enhance the electrostatic stability of the former. At some threshold condition, however, this monolayer structure becomes loose enough to be better described as a halo. One might thus associate this threshold condition with the threshold for the stability of the colloidal species formed by the larger particles. We discuss the possible connection of our theoretical results with the recent experimental observations that motivated this work. c © 2004 Elsevier B.V. All rights reserved. ∗ Corresponding author. 0378-4371/$ see front matter c © 2004 Elsevier B.V. All rights reserved. doi:10.1016/j.physa. 2004.03. 063 2 M. Ch avez-P aez et al. / Physica A 341 (2004) 1–22
High Loadings of Water-Soluble Oxalic Acid and Related Compounds in 1 PM2.5 Aerosols in Eastern Central India: Influence of Biomass Burning

Chubu Institute for Advanced Studies, Chubu University, Kasugai 487-8501, Japan 6 Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur 208017, India 7 Yale-NUIST Center on Atmospheric Environment, School of Applied Meteorology, Nanjing 8 University of Information Science and Technology, Nanjing 210044, China 9 Institute of Research on Catalysis and the Environment of Lyon (IRCELYON), French National 10 Centre for Scientific Research (CNRS), Villeurbanne 69100, France 11 Department of Environmental Engineering and Science, Chia Nan University of Pharmacy and 12 Science, Tainan 71710, Taiwan 13
AN OBJECT-ORIENTED CLUSTERING ALGORITHM FOR MULTI-SPECTRAL IMAGES USING THE LATENT DIRICHLET ALLOCATION

In this paper, we present a novel framework to integrate the object-oriented clustering process into the modelling of the Latent Dirichlet Allocation for multi-spectral remote sensing images. In the framework, a word (i.e., pixel) should be allocated a same topic label during the modelling no matter what document (i.e., sub-image) it resides in. It differs from state-of-the-art ways where a twoseparate-step is utilized to cluster VHR satellite images: (1) modelling: the latent Dirichlet Allocation and its relative are applied to model a collection of overlapped sub-images (i.e., documents), which are partitioned (or segmented) from a satellite image; (2) clustering: a classification map is derived from the learned model by combining multiple labels of each pixel into a unique one. Experimental results over a multi-spectral image show that the proposed method could well separate two geo-objects whose grade values are very similar to each other, i.e., the shallow and water. * Corresponding author: tanghong@bnu.edu. cn; Tel. : +86-10-5880 6401.
Effect of Thyroid Dysfunction on Metabolic Response in Type 2 Diabetic Patients

OBJECTIVE: We aimed to evaluate association between thyroid dysfunction, and lipid profile and glycated hemoglobin in type 2 diabetic patients. MATERIALS AND METHODS: This cross-sectional study was carried out in type 2 diabetic patients who referred to Yazd Diabetes Research Center. A total of 1200 type 2 diabetic patients who had thyroid dysfunction according to clinical examinations and laboratory results were chosen as case group and 1200 type 2 diabetic patients who were matched with case in age, sex and duration of diabetes and had no thyroid dysfunction confirmed by clinical and laboratory examination, were chosen as control group. In this study the following variables were measured: Glycosylated hemoglobin (HbA1c), lipid profiles [Total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG)]. RESULTS: There was a significant difference between HbA1c (8.9 ±1.99 vs. 7.1±1.02), TG (234.07 ± 88.69 vs. 205.89 ± 58.47), TC (209.56 ± 45.59 vs. 199.48 ± 41.55), LDL (125.05 ± 46.5 vs. 114.5 ± 45.42) and HDL (37.69 ± 16.78 vs. 43.79 ± 20.25) between two groups (P = 0.001). Moreover, a higher proportion of type 2 diabetic patients with thyroid dysfunction had elevated levels of TC (52.3% vs. 43.6%) (P = 0.001), LDL cholesterol (71.8% vs. 64.3%) (P = 0.001), HbA1c (83.8% vs. 35.9%) (P = 0.001) and TG (84.3% vs. 81.2%) (P = 0.02) compared with euthyroid group. CONCLUSION: Our findings indicate that screening of thyroid dysfunction in type 2 diabetic patients is necessary because thyroid dysfunction can produce significant metabolic disturbances.
Cancer tissue classification from surgical smoke measurements with convolutional neural networks

of the master’s thesis Author Anna Anttalainen Title Cancer tissue classification from surgical smoke measurements with convolutional neural networks Degree programme Life Science Technologies Major Complex Systems Code of major SCI3060 Supervisor Prof. Mikko Kivelä Advisors D.Med.Sc. , Ph.D. Niku Oksala, M.Sc. Anton Kontunen Date 8.4. 2019 Number of pages 70+5 Language English
Epidemiological aspects of inhibitor development in hemophilia and strategies of management

ABSTRACT Introduction: The most severe complication associated with FVIII and FIX replacement therapy is the development of inhibitory antibodies against FVIII or FIX (inhibitors), affecting approximately 20–35% of patients with severe hemophilia A. Areas covered: The aim of this review is to provide, through a systematic database search, an update on the epidemiological aspects of inhibitor development in hemophilia and strategies for clinical management of patients with this complication. Expert opinion: Research conducted during the last decade has made progress in understanding risk factors for inhibitor development, including identification of genetic risk factors. The ability to calculate a risk score using a child’s genetic profile to predict the likelihood of inhibitor development prior to starting replacement therapy is quite a way off. The so-called ‘Danger Theory’ posits that challenges to the body and immune system increase inhibitor risk. Examples of these challenges are surgery and intense clotting factor treatment. Despite difficulties in the design and performance of studies of a rare disease, and the high cost of treatment, a substantial body of knowledge has accumulated regarding hemophilia A. Basic and clinical research needs to continue even more aggressively than before with special focus on hemophilia B.
Therapeutic Apheresis in Neurology Critical Care

Therapeutic apheresis has been widely accepted in the treatment of neurological disorders that are understood to be mediated by humoral and/or cellular immunity. The clinical presumption is that well-established and/or unknown insults cause damage to nerves or their myelin sheaths. The rationale for apheresis treatments for these neurological disorders relates to removal of offending immune (or other) mediators, thus blunting the attack and permitting recovery of nerve and/or myelin. This review will concentrate on the role of therapeutic apheresis, in particular therapeutic plasma exchange, in neurological disorders that may frequently be seen by intensivists.