Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling the regional climate and isotopic composition of Svalbard precipitation using REMOiso: a comparison with available GNIP and ice core data

Simulations of a regional (approx. 50 km resolution) circulation model REMOiso with embedded stable water isotope module covering the period 1958‐2001 are compared with the two instrumental climate and four isotope series (δ18O) from western Svalbard. We examine the data from ice cores drilled on Svalbard ice caps in 1997 (Lomonosovfonna, 1250 m asl) and 2005 (Holtedahlfonna, 1150 m asl) and the GNIP series from Ny‐Ålesund and Isfjord Radio. The surface air temperature (SAT) and precipitation data from Longyearbyen and Ny‐Ålesund are used to assess the skill of the model in reproducing the local climate. The model successfully captures the climate variations on the daily to multidecadal times scales although it tends to systematically underestimate the winter SAT. Analysis suggests that REMOiso performs better at simulating isotope compositions of precipitation in the winter than summer. The simulated and measured Holtedahlfonna δ18O series agree reasonably well, whereas no significant correlation has been observed between the modelled and measured Lomonosovfonna ice core isotopic series. It is shown that sporadic nature as well as variability in the amount inherent in precipitation process potentially limits the accuracy of the past SAT reconstruction from the ice core data. This effect in the study area is, however, diminished by the role of other factors controlling δ18O in precipitation, most likely sea ice extent, which is directly related with the SAT anomalies. Copyright © 2011 John Wiley & Sons, Ltd.
Final Modals, Adverbs and Antisymmetry in Vietnamese

Cet article etudie la syntaxe et la semantique des constructions du vietnamien ou l’element auxiliaire apparait a droite du syntagme verbal. A premiere vue, cette distribution represente une objection aux propositions universalistes de Kayne 1995 et Cinque 1998, objection qui a deja fait l’objet de deux analyses (Duffield 1998 et Simpson 1997, 1998). Le present article reexamine les faits soutenant ces precedentes propositions. Il montre que ces faits sont insuffisants pour justifier la complexite derivationnelle de l’une ou de l’autre interpretation, et propose un traitement plus simple, qui prend en consideration l’interpretation des conditions grammaticales et extragrammaticales regissant le placement de l’auxiliaire en vietnamien, tout en conciliant ces distributions avec les principes universels.
Optimization of high Q integrated inductors for multi-level metal CMOS

As the frequency standards for communication and other types of integrated circuits increase into the Gigahertz range, the use of integrated inductors becomes more and more feasible. Unfortunately, application of integrated inductors is hampered by a lack of design tools, and also useful models for how inductor properties vary with layout and how the inductor interacts with its environment. We discuss these issues and also analyze what we believe to be the optimal inductor layout for an unspecialized multi-layer metal submicron CMOS process. We conclude with a practical example of a 600 MHz communication circuit that can benefit from the availability of a good integrated inductor.
A CMOS power amplifier with an adaptive bias scheme for mobile radio frequency identification reader applications

A 900‐MHz linear power amplifier with an adaptive bias scheme is fabricated using a 0.25‐μm CMOS technology. The power amplifier operates over the range of 860–960 MHz, which is the ultrahigh‐frequency band for radio frequency identification (RFID). All matching networks and RF chokes are implemented on a chip. The developed power amplifier provides a 1‐dB‐gain‐compression point (P1 dB) of 27 dBm and a power‐added‐efficiency (PAE) of 28% at the P1 dB. The adaptive bias scheme enables the power amplifier to reduce the quiescent power consumption from 280 to 80 mW by adjusting the gate voltage of power transistors as a function of the input power. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 1241–1245, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22435
Manufacturing the Digital Advertising Audience

How does a new medium create its audience? This study takes the business model of commercial media as its starting point and identifies industrial audience measurement as a constitutive operation in creating the sellable asset of advertisingfunded companies. The study employs a qualitative case study design to analyse how a mobile virtual network operator (MVNO) company harnesses digital behavioural records generated by computational network infrastructure to turn network subscribers into an advertising audience product. The empirical evidence is based on a three-months intensive fieldwork at the company office. The analysis reveals comprehensiveness, openness and granularity as the historically new attributes of computational data vis-a-vis traditional audience measurement arrangements. These attributes are then juxtaposed with four kinds of business analytical operations (automatic data aggregation procedures, the use of software reporting tools, organizational reporting practices and custom analyses) observed at the research site to assess how does computational media environment rule key audiencemaking practices. Finally, the implications of this analytical infrastructure are reflected upon three sets of organizational practices. The theoretical framework for the analysis is composed by critically assessing constructivist approaches (SCOT, ANT and sociomateriality) for studying technology and by discussing an approach inspired by critical realism to overcome their limitations with respect to the objectives of the study. The findings contribute toward innovating new digital services, information systems (IS) theory and the study of media audiences. The case opens up considerable complexity involved in establishing a new kind of advertising audience and, more generally, a platform business. Sending out advertisements is easy compared to demonstrating that somebody is actually receiving them. The three computational attributes both extend and provide summative validity for mid-range theorizing on how computational objects mediate organizational practices and processes. Finally, the analysis reveals an interactive nature of digital audience stemming from the direct and immediate behavioural feedback in an audiencemaking cycle.
Micromechanical Characterization of Energy Dissipative Mechanisms in Fracture Process Zone

Debonding of coarse aggregates from the surrounding matrix is considered as a major energy dissipative mechanism which affects the mechanical behavior of cementitious composites like concrete. In the present work, a micromechanical model has been developed to study the effect of debonding on the macroscopic behavior of concrete. Concrete is modeled as a two phase composite and a linear softening law has been used to characterize the interface between the phases. Numerical analysis is carried out to obtain the macroscopic stress-strain behavior under uniaxial tension. A parametric study is conducted to study how the various material properties of the individual phases affect the overall stress-strain behavior of concrete, with special emphasis on the post-peak softening.
Economics and duty-motivated choices

We study the relationship between economics and duties, the latter considered as deep, intrinsic moral obligations that motivate individuals. We first define duty in a way that could be amenable to work within the tools of decision theory, distinguishing between perfect and imperfect duty-motivated choices. Finally, we apply standard decision theory to assess how duties relate to economics, particularly to rationality. Three main findings emerge. One, perfect duty-motivated choice is rational. Two, when imperfect duty is at play, rationality conditions can be violated. Third, by making use of the difference between two representations of the maximisation problem the relational and the real valued utility function we show that individuals motivated by duty can choose a maximal while optimising their preference rankings; instead, maximisation of utility may not be possible under duty-motivated choices that supervene the local non satiation assumption.
Prevalence of Overweight, Obesity and Sedentary Behavior Among Primary School Children in Rania City

Background: Overweight and obesity among children is uprising continually and nowadays it becomes a serious worldwide challenging issue. Unhealthy lifestyle plays a crucial undesirable effect in this pandemic disorder. The aim of this study is to investigate the childhood overweight and obesity among primary schools in Rania city and to determine obese children’s level of sedentary behavior. Methodology: A cross-sectional survey study conducted among primary school children in Rania city. From a total of 32 primary schools in Rania city, through cluster random sampling a representative sample of 10 schools were randomly chosen. The total number of children included in the study of these ten schools are 3137 children. The data collection process was performed within period of three weeks from 10 of February to the 3 of March 2021. Child’s anthropometric measurements were taken. BMI-z score was used to assess children’s weight status. Statistical analysis was performed using SPSS software (version 23). Following determining children’s weight status, a random sample of 70 obese children were selected to be assessed for their sedentary behavior. Assessment was done through using questionnaire format for interviewing parents and children about their socio-demographic information and health behaviors. Turkish Journal of Physiotherapy and Rehabilitation; 32(3) ISSN 2651-4451 | e-ISSN 2651-446X www.turkjphysiotherrehabil. org 31344 Results: Study results show that more than half of the children 53.6% were within the normal weight status, while 16.6% were overweight and 10.2% were obese. Adding to that, more than half 51.1% of the participants were male. Distribution of overweight 21.2% and obesity 15% were more common among youngest age group (6-9 years). The majority of the obese children (92.8%) reported that they do not have sedentary behavior. There was a significant difference among male and female in relation to having sedentary behavior p= 0.03. Furthermore, significant association was shown between obese children’s sedentary behavior and their mother’s occupational status (p = 0.01). Conclusions: This study demonstrated that the prevalence of overweight and obesity among primary school children in Rania city were at a high level. Male sex was more vulnerable to have unhealthy weight status. Obese children’s sedentary behavior was within the minimum level. Parent’s weight status and type of occupation especially mothers have a strong influence on their children’s sedentary behavior.
The Influence of Product Price on Consumers ’ Purchasing Decisions

Consumers consider various factors when making purchasing decisions. In the literature, important factors that influence the purchasing decision are discussed by using product price factor. The price of the product is divided into three dimensions: fair price, fixed price, and relative price. In addition, brand image variables are also considered as mediators between price and consumers’ purchasing decisions and are viewed as important factors affecting the latter. The subject of this research is the consumption of counterfeit products or “replicas” of famous brands. The sample consisted of 166 people who were selected using the purposive convenience sampling technique. Data were obtained by using a questionnaire. After instrument testing and quality testing, the data were then analyzed by using regression analysis and the discriminant model. All calculations were carried out by using the SPSS 21.0. The discriminant analysis results show that brand image and price (fair price and fixed price) simultaneously have a partial and positive effect on purchasing decision. Multiple linear regression analyses results show that price (fixed price and relative price) simultaneously have a partial and positive effect on brand image.
Ispir-Ozcan: Imidacloprid toxicity: Effects on the clastogenic response of carp (Cyprinus carpio) fry

The article aimed to determine the effects of different doses of Imidacloprid on carp (Cyprinus carpio) fries, in order to determine whether their response could be used for the bioindication of the substance in aquatic environments in Turkey. The fish (weight 0.34±0.03 g, total length 2.97±0.21 cm) were subjected to 2.8 and 5.6 mg/l of Imidacloprid concentration for 96 and 168 h. A drop of blood from the caudal vein of carp was obtained and smeared on clean dry slide. Micronucleus (MN) and nuclear abnormality (NAs) analysis were carried out on erythrocytes. The frequency of micronucleus and nuclear abnormality observed varied significantly among the treated individuals (p<0.05). Imidacloprid led to negative alterations in the MN and NAs.
Towards Improving the Performance of STC Saudi Using Knowledge Management Strategies

The paper has examined the Knowledge Management - KM implementation at Saudi Telecom Communication - STC. The KM implementation was done to support the LEAD program initiated by STC. The LEAD program was created to help the firm increase its international operations, increase customer satisfaction and help STC to offer its convergence solutions to all centres across the world. The KM model was initially designed to help technical teams and sales personnel to share problems and solutions. The findings indicate that a large number of supervisors and mid-level managers accept the KM solution. KM has helped them in carrying out their functions and roles with greater efficiency and customer satisfaction. More participation is needed from the lower level of technicians and operators. The study seeks to answer the following main question: how STC are success by using knowledge management? What are thy facing?
HATE SPEECH AND OFFENSIVE EXPRESSIONS RECOGNITION ON TWITTER

With the fast development of informal organizations and microblogging sites, correspondence between individuals from various social and mental foundations turned out to be more straightforward, bringing about increasingly more "digital" clashes between these individuals. Thusly, abhor discourse is utilized to an ever increasing extent, to where it turned into a difficult issue attacking these open spaces. Despise discourse alludes to the utilization of forceful, brutal or hostile language, focusing on a particular gathering of individuals sharing a typical property, regardless of whether this property is their sexual orientation (i.e., sexism), their ethnic gathering or race (i.e., prejudice) or their accepts and religion, and so on. While the vast majority of the online interpersonal organizations and microblogging sites disallow the utilization of abhor discourse, the size of these systems and sites makes it practically difficult to control the entirety of their content. Therefore, emerges the need to identify such discourse consequently and channel any substance that presents disdainful language or language inducing to scorn. In this paper we propose a way to deal with recognize loathe articulations on Twitter.
DEVELOPMENT OF CALCIUM AND VITAMIN D FORTIFIED CEREAL BASED FOOD PRODUCTS FOR BONE HEALTH

Globally the high prevalence of osteoporosis is a consequence of low intake of vitamin D and calcium in diet and inadequate to meet recommended dietary allowances of these especially in women. Therefore, the present study was an attempt to develop calcium and vitamin D fortified cereal-based food products. Biscuits which are commonly consumed products, namely sweet and salty biscuits with added calcium and vitamin D were developed. The fortified biscuits were found acceptable by the semi-trained panel members as well as a large group of people involved for acceptability trials. All the products had significantly higher acceptability. To fulfill the requirements, it is suggested that calcium and vitamin D fortified foods should be included in diet. Some people do not like to continue medicines for long duration to treat osteoporosis. Food products with added calcium and vitamin D to fulfill the daily requirements are very helpful for maintaining bone health.
AN INTEGRATED OF CORPUS-BASED AND PRE-TRAINED WORD EMBEDDING MODEL FOR ARABIC NAMED ENTITY RECOGNITION

Named Entity Recognition (NER) refers to the task of extracting entities’ names such as persons, companies and countries. Arabic is one of the languages that has been addressed adequately for the process of NER. In particular, most of the recent related work on Arabic NER have utilized the word embedding technique. This technique aims at exploiting the neural network architecture in order to generate unique embedding for each term. The related work has been divided into studies that have built the word embedding on specific corpus, this approach is known as corpus-based. While other studies have utilized a pre-trained model of word embedding. The first approach suffers from the parameter tuning problem where numerous parameters must be adjusted in order to get precise embedding. Whereas, the pre-trained model which has been proposed to solve the parameter tuning, but still suffers from the ‘out-of-vocabulary’ problem where some words would not have an embedding within the model. In this manner, this research proposes an integration of corpus-based and pre-trained word embedding to trade-off the limitations of the two approaches. ANERcorp dataset has been used with some normalization tasks such as unwanted characters removal. On the other hand, a corpus-based word embedding model has been built using the ANERcorp corpus. In addition, a pre-trained model that has been trained on Arabic Wikipedia data, has been utilized. Finally, a K-nearest Neighbour (KNN) classifier has been used as a classifier. Results showed that the proposed integration has outperformed the individual implementation of corpus-based and pre-trained models by achieving a weighted average f-measure of 0.93. This result demonstrates the effectiveness of the proposed integration for limiting the out-of-vocabulary problem.
Temporal trends of hepatitis C virus transmission in internally displaced people who inject drugs in Odessa, Ukraine

Background Due to practical challenges associated with genetic sequencing in low resource environments, the burden of hepatitis C virus (HCV) in forcibly displaced people is understudied. We examined the use of field-applicable HCV sequencing methods and phylogenetic analysis to determine HCV transmission dynamics in internally displaced people who inject drugs (IDPWID) due to war in eastern Ukraine. Methods In this cross-sectional study, we used modified respondent-driven sampling to recruit IDPWID who have settled in Odessa, Ukraine. We generated partial and near full length genome (NFLG) HCV sequences using Oxford Nanopore MinION in a simulated field environment. Maximum likelihood and Bayesian methods were used to establish phylodynamic relationships. Findings Between June and September 2020, we collected epidemiological data and whole blood samples from 164 IDPWID. Rapid testing identified an HIV, anti-HCV, and HIV/HCV co-infection prevalence of 39%, 67.7%, and 31.1%, respectively. We generated 57 partial or NFLG HCV sequences and identified eight transmission clusters, of which at least two originated within a year and a half post-migration. Unstable housing post-migration was associated with more reports of injection drug use in the past 30 days (p=0.048). Interpretation Local generation of viral sequencing data and phylogenetic analysis in rapidly changing low-resource environments, such as those faced by forcibly displaced people, can inform timely adaptation of prevention and treatment.
Theoretical investigation of the density and the heat capacity of [EMIM][BF4] and its MWCNTs ionanofluids: Effect of temperature and MWCNTs concentration

The density and specific heat capacity is an important parameter for heat transfer fluids (HTFs) specially which used for cooling or heating purposes. In this study the density of ethyle methyl imidazolium tetrafluoro borate ionicliquids ([EMIM][BF4]) measured experimentally. In addition, the density (ρ) and the specific heat capacity (Cp) of the ionanofluid (INF) were calculated theoretically. The studied INF composed of multi-walled carbon nanotubes (MWCNTs) dispersed in the ionicliquid (IL) [EMIM][BF4] in the concentrations (0.5%, 1%, 3%, 5%, 7% and 9%). Scanning electron microscopy and differential scanning calorimetry measured for the used MWCNTs. The density and the specific heat capacity of pure [EMIM][BF4] and its INFs were plotted versus temperature in a graphs. The results show that the density of [EMIM][BF4] and its INFs decreased linearly with temperature. The density increased by 0.243%-3.968% for 0.5%-9% MWCNTs concentration in INFs, reaching maximum value of 1.329 g.cm-3 at 20 °C. In contrast the specific heat capacity of [EMIM][BF4] and its INFs increased linearly with temperature with an enhancement of about 0.417%-7.99% for 0.5%-9% concentration of MWCNTs reaching maximum value of 1.812 J/g.K at 358.15K with 9%MWCNT concentration. That’s mean the addition of MWCNT cause increasing both of the density and the specific heat capacity of INF.
Indoor and Outdoor Fire Localization Using YOLO Algorithm

Novel algorithm for fire detection has been introduced. CNN based System localization of fire for real time applications was proposed. Deep learning algorithms shows excellent results in a way that it accuracy reaches very high accuracy for fire image dataset. Yolo is a superior deep learning algorithm that is capable of detect and localize fires in real time. The luck of image dataset force us to limit the system in binary classification test. Proposed model was tested on dataset gathered from the internet. In this article, we built an automated alert system integrating multiple sensors and state-of-the art deep learning algorithms, which have a limited number of false positive elements and which provide our prototype robot with reasonable accuracy in real-time data and as little as possible to track and record fire events as soon as possible.
Concentration of heavy metals in the drinking water of Kut city - Iraq and their impact on health

The quality of drinking water is related to the state of the water supply networks, pollution, and contamination of drinking water with contaminants of both anthropogenic and natural origin. Water samples were collected from 22 different waterworks in Kut, Iraq, and heavy metal concentrations (Pb, Ni, and Zn) were analyzed. In various parts of the city, 22 sampling sites were pre-defined. The results indicated that heavy metal concentrations in water samples did not surpass WHO guidelines (World Health Organization).
Fabrication and Characterization of Self-Powered Photosensor Based on Nanostructure TiO2/natural Dyes

Self-powered photosensor is fabricated based on nanostructure TiO2/natural dyes. TiO2 nanostructured thin film was prepared on FTO/glass substrates by hydrothermal method. Surface morphology, crystalline structure, as well as optical properties of the prepared sample are investigated. Three types of natural dyes, pomegranate, aubergine, and coffee are used as an active layer (absorber) of the fabricated photosensor. However, the solution of dye was casted onto TiO2 and left to dry naturally and carbon/FTO was used as a back contact of the device. Current-voltage (I-V) characteristic under dark and light case was characterized for all prepared sensors. Besides, the fabricated sensors appeared good response to whit light under zero bias voltage. Sensitivity, raise and decay time of the prepared photosensor are calculated.