Miracle-dz/UniFAR-FTUs huggingface dataset:
An Intelligent Parking Guidance and Information System with ARM 9 Microcontroller

AbstractThis paper introduces an intelligent parking guidance and information system with ARM9 microcontroller. The parking problem in big cities, especially the mega-cities, has become one of the key causes of the city traffic congestion. The Parking Guidance and Information System (PGIS) is considered to be an effective way to improve parking situation. In general parking systems are designed by using different sensors like IR or ultrasonic sensors. By using these sensors they identify whether parking slot is free or it already contains car. But actually these sensors are not used for detecting particularly car they can detect any object. By using image processing technique it identifies car only or if any object other than car is at parking slot it don’t considered that slot is booked. In this paper we also introduce an important feature like fetching the above said status of the parking slot on the web or Internet and status can updated for particular time. In this way the car parking system is more easier and flexible for the person to view and book the slot from anywhere. It is done by using Image Processing, Embedded Linux, ARM9,GSM.
Preventive Health Care Facility Location Planning with Quality – Conscious Clients ( Working Paper )

The objective of probabilistic choice models for locating preventive health care facilities is the maximization of the expected participation in a screening program for, e. g. , early detection of breast cancer in women. In contrast to sick people who need urgent medical attention, the clients of preventive health care choose whether to go for a certain facility location or not to take part in the program. In prevailing scientific papers it is assumed that waiting time for an appointment and the quality of care do not influence clients’ choice behavior. Therefore, the decision is only about the facilities’ locations and the number of servers per facility. However, it has been shown that this assumption yields suboptimal results in terms of participation. In this contribution we consider clients’ utility function to include variables denoting the waiting time for an appointment and the quality of care. Both variables are defined as functions of a facility’s utilization. At first glance, this yields a mixed integer non–linear model formulation. As commonly modeled in empirical choice studies, we assume that the waiting time for an appointment can be considered to be categorial, i. e. the variable takes on only a few discrete values. The minimum quantity requirement (as a proxy for quality of care) is considered as a categorial variable as well, i. e. , it indicates whether a facility satisfies the requirement or not. These assumptions allow us to employ a segmentation approach to formulate a mixed integer linear program. We show that the problem can be solved to optimality in acceptable time, applying GAMS / CPLEX to our instances, based on both artificial data as well as in the context of a case study based on empirical data.
The Technical Efficiency of French Regional Airports and Low-Cost Carrier Terminals

In France, the regional airport’s demand for services is facing challenges due to the continuous expansion of the high-speed train, high-speed line, and highway networks. This study focuses on the viability of regional airports in France through technical efficiency using data envelopment, principle component analysis, Malmquist productivity index, and regression analysis using bootstrapping. To face the current competitive environment, the regional airports in France adopted strategies, such as the construction of low-cost carrier (LCC)-dedicated terminals (LCCTs) with lower expenses to attract more LCCs, increasing non-aeronautical revenue, and hosting regional hubs of LCCs. This is the first study that analyzes all of the French regional airports. The findings indicate that the existence of LCCTs positively affects technical efficiency on the airport’s performance, and share of LCCs at a regional airport leads to neither the efficiency nor the profit level.
Structural Vector Autoregressive ( SVAR ) Analysis on Malaria Incidence in Gombe , Nigeria

Vector autoregressive (VAR) models are capable of capturing the dynamic structure of many time series variables. Granger causality test, Impulse response functions and variance decomposition are typically used to investigate the relationships between the variables included in such models. In this context the relevant impulses or innovations or shocks to be traced out in an impulse response analysis have to be specified by imposing appropriate identifying restrictions. Taking into account the cointegration structure of the variables offers interesting possibilities for imposing identifying restrictions. Therefore VAR models which explicitly take into account the cointegration structure of the variables, so-called vector error correction models were considered in the previous work. Granger causality test showed that Female group Granger cause Pregnant group (i.e Female group is helpful in predicting the future Pregnant malaria cases) while all other pairs were not significant. The results of impulse response functions revealed that almost all the groups had positiveand/or negative effects on othergroups. Finally variance decomposition analysis conducted indicatesthat all the groups were largely explained by their own innovations and slightly by the shocks of other groups.
On the Security of a Public Auditing Mechanism for Shared Cloud Data Service

Recently, a public auditing protocol for shared data called Panda (IEEE Transactions on Services Computing, doi: 10.1109/TSC.2013.2295611) was proposed to ensure the correctness of the outsourced data. A distinctive feature of Panda is the support of data sharing and user revocation. Unfortunately, in this letter, we show that Panda is insecure in the sense that a cloud server can hide data loss without being detected. Specifically, we show that even some stored file blocks have been lost, the server is able to generate a valid proof by replacing a pair of lost data block and its signature with another block and signature pair. We also provide a solution to the problem while preserving all the desirable features of the original protocol.
Its Receptor Influence the Activity of Myometrial Primary Cells In Vitro Through Regulation of Il 6 Expression via the Rela / p 65 Pathway in Mice 1

The neuromedin B receptor (Nmbr) is an important physiological regulator of spontaneous activities and stress responses through different cascades as well as its autocrine and paracrine effects. Previous studies have revealed that neuromedin B (Nmb) and its receptor signal via the Rela (also known as p65)/Il6 pathway in a mouse model of pregnancy. This study investigated the mechanism of Nmbr signaling via the Rela/p65-Il6 pathway and regulation of the concentration of intracellular free calcium ([Ca] i ) during the onset of labor in primary mouse myometrial cell cultures isolated from mice in term labor. Data demonstrated Nmbr agonist-mediated upregulation of the DNA binding activity of Rela/p65, Il6 expression, and [Ca] i in a concentration-dependent manner. Furthermore, a significant correlation was observed between DNA binding activity of Rela/p65 and Il6 expression. Moreover, this up-regulation was blocked by Nmbr and Rela/p65 knockdown, achieved by RNA interference (RNAi) technology. No significant differences were identified in the inhibition of Il6 expression as a result of Nmbr or Rela/p65 knockdown. However, significant differences were observed between the [Ca] i in Rela/p65-specific group and that in the Nmbr-specific small interfering RNA (siRNA)-treated groups. These data demonstrated that the Nmb/Nmbr interaction in pregnant myometrial primary cells in vitro predominantly influenced uterine activity through regulation of Il6 expression via the Rela/p65 pathway, although the effects of Nmbr on [Ca] i involved several pathways that remain to be elucidated. Il6, myometrium, neuromedin B, neuromedin B receptor, neuropeptides, null mutation/knockout, parturition, Rela/p65, transcriptional regulation
Isolation and identification of bioflocculant-producing bacteria , heterotrophic nitrogen removal bacteria and polyphosphate bacteria in wastewater from “ My Tho rice noodle ” factories , Tien Giang province , Vietnam

A total of 42 bioflocculant-producing bacterial isolates (BPB), 59 heterotrophic nitrogen removal (HNR) bacterial isolates and 8 poly-Phosphate bacterial isolates were isolated from wastewater of 8 rice noodle factories of My Tho city, Tien Giang province, Mekong Delta, Vietnam. Bioflocculant-producing bacterial isolates were divided two groups: protein and polysaccharide, HNR bacterial isolates were classified in four kinds of heterotrophic ammoniaoxidizing bacteria (15 isolates), nitrite-oxidizing bacteria (15 isolates), nitrate-oxidizing bacteria (18 isolates) and heterotrophic nitrifying and denitrifying bacteria (11 isolates). The virtually complete 16S rRNA gene was PCR amplified and sequenced. The sequences from the selected BPB, HNR and poly-P bacterial isolates showed high degrees of similarity to those of the GenBank references strains (between 97% and 99%). Phylogenetic trees based on the 16S rDNA sequences displayed high consistency, with nodes supported by high bootstrap (1000) values. These presumptive HNRB isolates were divided two groups that included members of genera belonged to Gram-positive bacteria phylum and Proteobacteria phylum while BPB and poly-P bacteria strains belonged to bacilli.
Application of Mobile Technology in Waste Collection

One of the stages in waste management is waste collection, and as global waste generation continue to increase year after year, the need for better and more efficient waste disposal, collection and management methods become more evident and urgent. Automated forms of waste collection are very expensive and far from being affordable in many low income communities, especially in the so called developing countries. To solve this dilemma, mobile technologies are considered for use in waste collection as a prospective means of improving waste management. This paper is an attempt to proffer a generic but yet concrete and efficient solution to the problems associated with waste collection via the application of mobile technologies, firstly, by tackling the problems individually in form of subsystems and then, through integration of the subsystems together.
influence of soil properties on denitrifying bacterial communities nd denitrification potential in no-till production farms under ontrasting management in the Argentinean Pampas ilvina

The aim of this work was to investigate the response of the structure, abundance and potential activity of denitrifiers to contrasting agricultural management in no-till production fields, across a regional scale within the highly productive Argentine northern Pampas. Treatment categories were grouped according to the sustainability of the soil management, in terms of crop rotation, fertilization, agrochemicals use and pest control, as good no-till agricultural practices (GAP) and poor no-till agricultural practices (PAP). Non-cultivated soils in each geographic location were also evaluated as reference groups. Mixed models, with sites treated as random factors, indicated that the potential denitrification activity and the size of the nirS community differed significantly between non-cultivated and PAP soils. Soil properties were separated into dynamic and inherent according to their variance components. The former ustainable agriculture ollisols and Vertisols had the largest part of their variances explained by agricultural management, while the latter were more affected by edaphic–climatic differences between sites. Both inherent and dynamic properties could explain the changes in potential denitrification activity, whereas changes in the abundance of denitrifiers were only related to inherent soil properties. Results from principal components analysis suggested sitespecific response of most dynamic soil properties. Among the latter, only aggregate stability indices were poten strongly associated with
Geographic Population Structure in Marine Fish Species with High Gene Flow

Management of highly exploited marine resources necessitates a rigorous definition of geographic boundaries that separate stocks because different stocks (populations or subpopulations) may possess local adaptations that lead to differences in important life-history parameters such as growth, fecundity, and disease resistance. Failure to recognize locally-adapted stocks potentially can result in extirpation and irretrievable loss of genetic resources. Identifying separate stocks, based on genetic data, is problematic for marine species with high dispersal capability, particularly when selectively neutral genetic markers are employed. The issue is that homogeneity in such markers may not necessarily reflect homogeneity in genes affecting life-history and/or fitness traits. Moreover, historical events, e.g., population expansion or decline, often leads to violations of equilibrium assumptions inherit in traditional population genetics models. When ‘traditional’ FST-based approaches are combined with spatial and demographic analyses, important aspects of cryptic population structure may be revealed. A review of stock-structure assessment in exploited species of snappers (Lutjanidae) in the Gulf of Mexico and Caribbean Sea demonstrates that even for species with similar life histories, patterns of population structure vary and require robust analytical methodologies to detect fine-scale differences.
2 quality of Service Provision and capacity Expansion through Extended-DSA for 5 G D 4 . 2 : RM framework and modelling

This deliverable describes the radio resource management (RRM) framework and modelling for integrating and assessing the proposed algorithms in SPEED5G eDSA framework. The focus is on RRM and interfaces to the MAC layer and also northbound interfaces to the OAM, spectrum manager, and KPI manager. This deliverable also contains the modelling of demulator for initial testing for algorithms before it is implemented in a full hardware testbed. D4.2: RM framework and modelling © 2015 2017 SPEED-5G Consortium Parties Page 2 of 100 Document revision history Version Date Description of change List of contributor(s) v0.1 2017-01-26 Template/ToC draft Shahid Mumtaz v0.2 2017-02-01 Updates to template Seiamak Vahid v0.3 2017-02-08 RRM chapter Salva Diaz, Keith Briggs v0.4 2017-02-27 RRM revisions Salva Diaz, Keith Briggs v0.5-0.8 2017-03-03 Chapter rearrangements and revisions; new figures Keith Briggs v0.9 2017-03-08 Chapter 2 updates BT v0.1
ANALYSIS OF VALUE RELEVANCE OF INTANGIBLE ASSETS UNDER INTERNATIONAL FINANCIAL REPORTING STANDARDS : EVIDENCE FROM BORSA ISTANBUL

Ahmet ÖZCAN Adana Science and Technology University, Faculty of Business, Management Information Systems aozcan@adanabtu.edu. tr Makale Geliş Tarihi:09.08. 2017 Makale Kabul Tarihi:06.12. 2017 Abstract In the current business climate, intangible assets play a vital role in business success. IAS 38 Intangible Assets was published to enhance the usefulness of financial information about intangible assets from an investor perspective. This paper analyzes intangible assets’ value relevance in the pre and post International Financial Reporting Standards (IFRS) period in Turkey by using a sample that includes 108 firms over the period 2000 to 2016. The results of panel data analysis show that the amount of intangible assets is significantly associated with the stock price. The results also indicate that value relevance of intangible assets of Turkish manufacturing firms is significantly higher under IFRS than Turkish GAAP. This study aims to fill a gap by specifically analyzing the value relevance of intangible assets reported by Turkish listed firms over the pre and post IFRS period, since the most of previous research studies focus on either one of the two periods.
A REVIEW OF THE HDR SITES AND DETAILED INVESTIGATIONS OF THE SOULTZ-SOUS-FORETS SYSTEM

The European Hot Dry Rock programme is located in the Rhine Graben at Soultz-sous-Forêts. Two deep boreholes (GPK1and GPK2) were drilled in fractured granite to depths of 3590 and 3876 m, respectively, reaching temperatures between 150 and 170°C. Separated from each other by a horizontal distance of 450 m, the two wells were tested in 1997. A four-month circulation test with a permanent flowrate up to 25 kg/s provided thermal, hydraulic and geochemical data from the Soultz system. Since this test, one of the wells (GPK2) was deepened to 5,000m. In order to model water-rock interactions, the following processes have to be defined, measured or analysed: minerals assemblages in contact with water, fluid composition, temperature evolution, pressure and flow rate in the different interaction zones, such as the porous matrix, small and large fractures. Another goal of this work is to develop a geochemical model that will handle highly saline solutions (brines up to 100 g/l) at temperatures up to 200°C, and to include reactions. A new geochemical code is under development, based on CHEMTOUGH. To acquire a better understanding of the geochemical processes taking place between the fluids and the fractured hot rocks, geochemical data from six different Hot Dry Rock reservoirs are reviewed. Saturation indexes are computed with the code PHREEQC. Using data from the Soultz reservoir, a thermodynamic model is developed based on a simplified Pitzer approach. The goal of the work is to use realistic assumptions to better constrain the model and to mitigate the lack of Pitzer parameters for the Soultz brine. Later, kinetic laws will be included in the model in order to couple reactions with transport.
valuation of nitrogen balance in a direct-seeded-rice field xperiment using Hydrus-1 D

Nitrogen (N) pollution is a global environmental problem that has greatly increased the risks of both the eutrophication of surface waters and contamination of ground waters. The majority of N pollution mainly comes from agricultural fields, in particular during rice growing seasons. In recent years, a gradual shift from the transplanting rice cultivation method to the direct seeding method has occurred, which results in different water and N losses from paddy fields and leads to distinct impacts on water environments. The N transport and transformations in an experimental direct-seeded-rice (DSR) field in the Taihu Lake Basin of east China were observed during two consecutive seasons, and simulated using Hydrus-1D model. The observed crop N uptake, ammonia volatilization (AV), N concentrations in soil, and N leaching were used to calibrate and validate the model parameters. The two most important inputs of N, i.e., fertilization and mineralization, were considered in the simulations with 220 and 145.5 kg ha−1 in 2008 and 220 and 147.8 kg ha−1 in 2009, respectively. Ammonia volatilization and nitrate denitrification were the two dominant pathways of N loss, accounting for about 16.0% and 38.8% of the total N input (TNI), respectively. Both nitrification and denitrification processes mainly occurred in the root zone. N leaching at 60 and 120 cm depths accounted for about 6.8% and 2.7% of TNI, respectively. The crop N uptake was 32.1% and 30.8% of TNI during the 2008 and 2009 seasons, respectively, and ammonium was the predominant form (74% of the total N uptake on average). Simulated N concentrations and fluxes in soil matched well with the corresponding observed data. Hydrus-1D could simulate the N transport and transformations in the DSR field, and could thus be a good tool for designing optimal fertilizer management practices in the
Optimizing Shift Scheduling for Tank Trucks Using an Effective Stochastic Variable Neighbourhood Approach

In this contribution we introduce the application of a stochastic variable neighbourhood algorithm in order to solve a problem taken from a real world situation faced by a small oil company. The problem at hand is an optimization problem and relates to shift scheduling of tank trucks. Input data consists of a set of tank trucks with different properties along with a set of drivers having different driving skills. The objective is to establish a one-to-one assignment between the set of available drivers and the set of tank trucks shifts so as all related hard and soft constraints are satisfied and the tank truck shifts are optimized. This specific problem has been already addressed at the literature and some encouraging results have been published (Knust and Schumacher, 2011). Nevertheless, the optimization algorithm proposed in current contribution manages to achieve better solutions for all but one instance among thirty of them in the same reasonable amount of computational time.
Sources of Biosolids Odors at Wastewater Treatment Plant ( WWTP ) by Utilizing Real-Time Odor Monitoring System and Statistical Models

A real-time solids odor monitoring system provides an odor management feedback tool for both process control and a biosolids management program. Since higher odor levels means higher process costs, as well as greater potential for nuisance odors at land application sites, identifying the processes that contribute to these elevated levels is critical to responsible, economical, and efficient wastewater plant management and biosolids land application programs. Each year, DC Water’s 370 mgd plant applies biosolids to over 20,000 acres of agricultural land. Nuisance odors from recycling biosolids on land may drift into surrounding neighborhoods and motivate neighboring communities to enact legislation to ban land application. Therefore, the reduction of odor emissions from biosolids recycled on field sites is a major concern. Odors levels generated by dewatered solids and limed biosolids are measured by headspace monitoring devices in enclosed conveyance systems. Both total reduced sulfur compounds (TRS) and nitrogen (N)containing compounds are measured with online electro-chemical sensors. The system correlates odorant levels of dewatered solids and biosolids and utilizes treatment process scenarios and various operational parameters throughout the wastewater treatment process. This study uses ordinary least squares (OLS) estimation and instrumental variable (IV) estimation to create explanatory models. Data analyses suggest that waste-activated percent solids (WAS %S) and dissolved-air flotation total solids (DAF TS) can contribute to mitigating TRS. However, all process variables at secondary sedimentation, which are gravity thickening percent solids (GT %S), gravity total solids (GT TS), and blend ratio, can contribute to increase TRS. The IV estimation indicates that % lime feeding, # centrifuges, cake percent solids (Cake %S), temperature at secondary effluent, and ambient temperature cannot directly explain TRS postlime, but they do explain TRS levels via post-lime temperature. Additionally, cationic polymer at the secondary and dewatering process coupled with post lime temperature can contribute to increase N-containing compounds at the lime addition process. The accumulated cationic polymer inside the sludge of secondary sedimentation can also contribute to high N-containing compounds downstream.