Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the Influences of Environmental Claims in Advertising on Consumer’s Ethical Consumption Behaviors

With the clear growth in awareness of consumer ethics, the importance of consumer consumption behaviors for the buyer/seller dyad has been recognized for some time. Consumer attitudes and behaviors towards social impacts, environmental concerns, and ethical practices have become vital issues. This study’s main purpose is to understand how environmental information disclosure in advertising influences consumers’ attitudes toward brands and the ethical behaviors of consumers. A 2x2 factor experimental design is used. Findings indicate that the effects of substantial orientation claims of environmental advertising on brand equity are significantly stronger than those of associated orientation claims. Eco-labels also significantly influence brand equity, including the dimensions of awareness/association , perceived value, and loyalty. Consumer ethical behaviors are fully affected by brand equity. Discussion and implications based on these results are presented.
Paper 15 N 2 as a tracer of biological N 2 fi xation : A 75-year retrospective

N2 has played a crucial role in fundamental studies of biological N2 fixation. However, due to operational constraints, it has more often served as a qualitative rather than a quantitative tracer of biologically-fixed N (BFN). Therefore indirect methods based either on 15N-enrichment or 15N-natural abundance have assumed a dominant role in quantifying N cycle processes involving BFN. However, it is only through the direct N2 approach that biological N2 fixation can be traced through the various components of the soil-plant system. Technological advances in the automated control of the chamber environment have made the N2 technique more attractive to long-term studies. Thus the need to enclose plants in a chamber and maintain conditions conducive to plant growth should no longer be seen as a major obstacle to the use of N2. The way is now open to evaluate the efficacy of indirect methods used to estimate the contribution of BFN to the N economies of crop and pasture systems, and the dynamics of BFN in agroecosystems. In addition, new applications of N2 such as stable isotope probing are emerging, which have the potential to characterize non-cultivated diazotrophs in a range of environments. The role of biological N2 fixation in the formation of reactive N in the environment and its relationship with the emission of the greenhouse gas N2O requires further investigation. © 2016 Elsevier Ltd. All rights reserved.
STOCK MARKET DEVELOPMENT AND PRIVATE INVESTMENT GROWTH IN NIGERIA By Abel Ezeoha

This paper is primarily designed to examine the nature of the relationship existing between stock market development and the level of investment flows in a country with a high degree of macroeconomic instability; and whether the stock market plays a uniform role in attracting both domestic and foreign investments in such economic situation. Extrpoloted macroeconomic quarterly data (over a period from 1970 to 2006) are used in the analysis. The Johansen Cointegration model is adopted to examine the long-run trends in the variables. While controlling for other variables, a vector error correction model (VERCM) is used in estimating the relationship between investment growth, on one hand, and stock market development on the other. The study shows that development in the Nigerian stock market over the years was able to spur growth in domestic private investment flows, but unable to do so in the case of foreign private investment; and that development in the country’s banking system rather had some distabilising effects on the flow of private investments. The researchers attributed this to persistent cases of distress and failure in the banking system. This study is among the few of its kind to have empirically sort for and established some discriminant effects of stock market development in the flow of domestic and foreign private investments, at least from the point of view of a constrained market economy.
Self-Efficacy of Agricultural Farmers : A Case Study

Self-efficacy of agricultural farmer refers to judgment of his capabilities to organize and execute courses of action required to attain designated types of agricultural performance. Current study examined correlates of farmers’ self-efficacy. Initially, following the interview with farmers, agricultural officers and members of KPS (Krishi Prajukti Sahayak) Bengali version 20-item summated rating scale with 5 point rating categories was developed to assess self-efficacy of agricultural farmers. Data were collected from 33 agricultural farmers of Dumajuli village of Bhangar block, South 24 Pgs. , West Bengal. Reliability in terms of internal consistency among the items was high (Cronbach’s alpha = 0.75). It was noted that selfefficacy was related with multiple crop and jute production significantly. Results were discussed in terms of reciprocal deterministic proposition of Self-efficacy suggested by Bandura. Findings have major implications in psychological counseling to the agricultural farmers.
Building ecosystem momentum: The case of AppCampus

Taking an approach that considers both socio-political and cognitive legitimacy, we analyze the case of AppCampus, an ongoing ecosystem creation effort funded by Microsoft and Nokia, and managed by Aalto University, in Finland. Our analysis suggests a two-stage model of ecosystem creation. In the first stage, participants of the nascent ecosystem establish and promulgate a shared understanding of its purpose, internal roles and operations among existing and prospective ecosystem participants, while in the second stage, having gained at least some momentum, the legitimation emphasis gradually shifts from establishing cognitive legitimacy to establishing wider socio-political legitimacy. Our model confirms and extends prior work on cognitive and socio-political legitimacy, while reintroducing the importance of socio-political legitimacy into discussion of the evolution of ecosystems and other institutional fields.
DETERMINANTS OF SUKUK ( ISLAMIC BONDS )

Sukuk are a significant mode of financing in the Islamic financial system. Since their launch in the 1980s, Sukuk have gained recognition and popularity as a substitute for conventional bonds. Sukuk represent a proportional undivided ownership right in tangible assets, or a pool of predominantly tangible assets. The aim of this study to identify a number of factors that can be used to demonstrate the relationships between bond yields by employing OLS regression analysis. The results from the regression analysis suggested that maturity, size, Ijara, sovereign Sukuk, and credit rating have significant results on Sukuk yield. The findings of this study could be helpful for investors to get better risk-adjusted returns in bonds markets. For policy makers, it highlights the importance of further developments in Sukuk markets.
Maternal Vitamin C and Preterm Pre-labour Rupture of Membranes

Background: Preterm pre-labor rupture of membranes (PPROM) is the main reason for premature labor. Aim of the study: The main goal of that study was to determine whether there was a relationship between maternal vitamin C level and occurrence of PPROM in pregnant females. Study design and setting: A case-control study which was conducted in Babylon Teaching Hospital for Gynecology and pediatrics from 1 March 2016 to 30 November 2016. Patients and methods: The study included 68 women: 30 women as patients group diagnosed as cases of preterm pre-labor rupture of membranes who meet the inclusions and exclusions criteria, and 38 women as control groups. Vitamin C concentration was measured for all included women. Results: The two groups were matched in terms of women’s age, gestational age, occupation, address, their parity and level of education (p>0.05). Maternal vitamin C levels were measured in the patient’s group and found to be lower than the control group. (Mean ± SD) (15.25 ± 4.11 µg/ml) Vs. (16.6 ± 4.83 µg/ml) respectively, however, no statistical significance was found (p=0.127). Low maternal vitamin C level is not correlating with the risk of PPROM, odds ratio (1.0182), 95% CI (0.344-3.011), and (p=0.97). Vitamin C levels were significantly higher in women with no PPH (15.08 ± 3.80 µg/ml) in comparison to those who had PPH (10.54 ± 3.38 µg/ml) (p=0.022). On the other hand, a non-significant negative correlation has been noted between low maternal vitamin C level and latency period (r=0.35, p=0.067). Conclusions: Lower maternal serum level of vitamin C levels has been found in patients with PPROM compared to the control group, but there was no statistical significance. Maternal vitamin C deficiency is not a contributing factor in the development of PPROM.
Parasites in the oyster Crassostrea rhizophorae from farmed and natural stocks in the Bay of Camamu, Bahia, northeastern Brazil

This study investigated parasites in the oyster Crassostrea rhizophorae from a farmed and a natural stock in the Bay of Camamu, Bahia, Brazil. Samples were taken in October and November, 2012 and in January, 2013. 300 oysters were fixed in Davidson’s solution and processed by means of conventional histological techniques, and were examined under an optical microscope. The following parasites were associated with C. rhizophorae: Rickettsiae-like organisms (RLOs), Sphenophrya sp. (Ciliophora), Nematopsis sp. (Apicomplexa), Perkinsus sp. (Perkinsozoa), Urastoma sp. (Turbellaria), Bucephalus sp. (Digenea), Tylocephalum sp. (Cestoda) and an unidentified copepod (Crustacea). Perkinsus sp. and Nematopsis sp. were prevalent in both environments. Nematopsis sp. had greater expression (p<0.05) in mangrove oysters than in cultivation, which was related to the more conspicuous presence of crustaceans in the first environment. Disruption of epithelial cells was caused by Rickettsiae-like organisms (RLOs) and hemocyte reaction and changes to the epithelium by Perkinsus sp. Xenomas were caused by Sphenophrya sp. in oysters from the mangrove and parasitic castration was caused by Bucephalus sp. Key words: Histopathology, mangrove oyster, oyster farming, pathogens, Perkinsus.
1 CASCADE OF THE PARAMETRIC DECAY INSTABILITY IN IONOSPHERIC HEATING EXPERIMENTS

Cascade of Langmuir waves excited by parametric decay instability (PDI) in ionospheric heating experiments is studied. In resonance cascade the mother Langmuir wave has to propagate downward to the resonant location of the daughter line for the resonant decay. To balance the propagation loss of the mother Langmuir wave, a large power ratio (~10 dB) between two consecutive cascade lines in observed HFPLs is required. The nonresonant cascade proceeds at the same location of PDI. The threshold power has a N dependence for νe >> 2Nνi and a √N dependence for νe << 2Nνi,, where N is the cascade step number.
Multicomponent titanium ( IV )-based helicates incorporating the ortho-phenylenediamine ligand : a structural and a computational investigation

Figure 1: DOSY map analysis of the LH4 + Ti(OPr)4 + opda reaction performed in situ (CD2Cl2). Analysis Info Analysis Name O16290ML.d Acquisition Date 02/02/2012 15:41:17 Method Administrator Operator esi wide pos.m Sample Name Instrument micrOTOF 2200 Comment Acquisition Parameter Nebulizer 0.4 Bar Source Type 4500 V ESI Capillary Corona 219 nA 100.0 V 300.0 V Positive Set Hexapole RF Dry Gas Set Capillary Exit Ion Polarity 4.0 l/min n/a Dry Heater n/a 180 °C Set Skimmer 1 APCI Heater 50.0 V 518 °C
Proyecto Fin de Carrera Ingeniería de Telecomunicación Formato de Publicación de la Escuela Técnica Superior de Ingeniería

The continuous downscaling of semiconductor fabrication processes, which was predicted by PhD. Moore in 1965, have had a great impact in the development of nowadays integrated electronics. The reduction of transistor size has allowed, on one hand, the integration of more devices in the same área, increasing the integration density, while, on the other hand, has led to the reduction of fabrication costs, making the final product cheaper and accessible. However, this increase in the functionality of a single integrated circuit entails greater complexity in the generation and distribution of the different biasing voltages needed throughout one chip. Thus, as more different systems are integrated in the same chip, more different biasing domains coexists in it, leading several different requirements of noise, regulation and/or stability that need to be satisfied simultaneously. Therefore, power management circuits have been acquiring greater significance as technology downscales, reaching its maximum nowadays, when the nanoscale had taken those issues to its culmen. Linear regulators, and more concretely, low-dropout linear regulators, are an essential block in any power management system, able to generate precise and extremely-stable low-noise biasing voltages what make them the ideal choice for extremely biasing-sensitive circuits such as analog or radio-frequency systems. In addition to this, low-dropout linear regulators can be completely integrated without needing any external device, what translates to expenses and area savings. For all these reasons, low-dropout linear regulators have been lately acquiring extensive attention from the scientific community. However, those circuits also have some disadvantages, indeed, the maximum theoretical efficiency that can be achieved though low-dropout linear regulators is lower than switched capacitor or inductor-based solutions efficiency. In addition to this, as internal compensation is required, the system’s dominant pole is given by an internal node, making the non-dominant pole to be fixed by the charge. This leads to a great stability concern as charge variations translate to a frequency displacement of the non-dominant pole that degrades the whole system phase margin. In accordance with previously described issues, this research has been focused on the study of minimum-quiescent consumption internally compensated low-dropout linear regulators (LDO). The first objective of this research is the proposal of low-voltage
Using pitfall traps arrays to estimate the home range of a Cerrado lizard in Central Brazil

Although the broad distribution of a species is ruled by several biotic and abiotic factors, the spatial distribution of a local population is affected by social interactions between individuals, competition (intra and interspecific), predation and resource availability (Brown et al., 2009). In a finer scale perspective, the home range is a small portion of the available habitat used by an individual within a population that provides its everyday needs, such as food, shelter and reproductive mates (Ferner, 1974; Perry and Garland Jr, 2002), with the individual completing its entire life cycle within this area (Rose, 1982). Home range is crucial information for studies focusing on mating systems or territoriality (Melo et al., 2017). The size of an individual home range is shaped by species ecology and behavior (Rose, 1982), and is related to species social system, individual social status, resource use and availability, and group cohesion (Stone et al., 2002). Changes in home range size (in space or in time), for example, can be produced by the species’ biology, but also by individuals’ social interactions (Ferner, 1974) and habitat fragmentation (Young et al., 2018). These changes are often larger for larger animals (or individuals) and species of higher trophic status (Rocha, 1999; Mitchell and Powell, 2012). Territories are areas inside home ranges that are exclusively used by an individual and are often defended against the entrance of other individuals, cospecific or not (Schoener, 1968), and can be smaller or close in area to the home range. In territorial systems, the individuals usually defend all their home range, often using a set of warning or aggressive behaviours to exclude other individuals from the territory (Stone et al., 2002), diminishing home range overlaps. Although the territory size may be variable, it is sometimes inflexible and populations are expected to be regulated in stable densities (Adams, 2001). As resource availability commonly changes with time and between different habitats, the density in natural populations tends to Herpetology Notes, volume 11: 985-991 (2018) (published online on 26 November 2018)
ORGANIZATIONAL CAPACITY AND FINANCIAL MANAGEMENT PERFORMANCE OF LOCAL GOVERNMENT

This study investigates the relationship between organizational capacities and financial implementation performance on Local Government. This study addresses the question of whether organizational capacities as measured by financial literacy, dynamic capability, strategic planning, goal orientation, budget allocation, and control and monitor impact directly on financial implementation performance. Using the data from North of Aceh and Lhokseumawe City, therefore, the results shown four variables are significant impact while two variables are not significant. Based on results suggested both Local Governments i.e., North of Aceh and Lhokseumawe city have generated similar focus on four factors and significantly impact to financial performance. However, two others variables such as DinCap and StratPlan are not significant. In the environment uncertainty, DinCap and StatPlan are appropriate tools to recombine functional competence of the organization particularly in financial implementation stage. The result implies empirically shown both Local Governments failed to obtain WTP opinion and it may because weak of associate of Dincap and StratPlan operation with rapid change of the environment.
Empirical Evidence of Multi-Facets of Delinquency in Pakistan : Revised Self-Reported Delinquency Scale

Juvenile delinquency is a major societal issue of Pakistan, but measuring it through self-reported indigenously developed questionnaire is limited to a few progresses like Self-Reported Delinquency Scale (SRDS; Naqvi & Kamal, 2008). The purpose of the present study was to explore factor structure of SRDS through Exploratory Factor Analysis (EFA) and to address multi-facets of delinquency by modifying SRDS. Cross-sectional research design was used. Data were collected through purposive sampling from 508 respondents which included 232 juvenile delinquents and 276 students from Bahawalpur and Faisalabad. Study was aimed to explore and establish dimensionality, reliability, convergent, and discriminant validities along with usefulness of the Revised SelfReported Delinquency Scale (R-SRDS). Findings of the study reported emergence of six internally-consistent factors including: (a) risk taking, (b) sex related, (c) stealing related, (d) police encountering, (e) drugs related, and (f) attention seeking delinquent tendencies. Convergent validity of these subscales was established through positive association of R-SRDS with Short version of Physical and Verbal Aggression Scale (Caprara & Pastorelli, 1993), and Lying Scale of Eysenck Personality Questionnaire (EPQ; Eysenck & Eysenck, 1976). Discriminant validity was established by inverse relationship of R-SRDS with Prosocial Behavior Scale (Eisenerg, Eggum, & Di-Giunta, 2010) and Positivity Scale (Caprara et al., 2012). R-SRDS not only discriminated between juvenile delinquents and students, but also discriminated between delinquents committing different types of crimes, thus, providing more comprehensive picture of R-SDS measuring different levels of delinquent tendencies in Pakistan.
Poster: On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving

In Autonomous Driving (AD) systems, perception is both security and safety-critical. Among different attacks on AD perception, object-hiding adversarial attack is one of the most critical ones due to the direct impact on safety-critical driving decisions such as collision avoidance. However, all of the prior works on physical object-hiding adversarial attacks only study the security of the AI component alone rather than with the entire AD system pipeline with closed-loop control. This thus inevitably raises a critical research question: can these prior works actually achieve system-level effects (e.g., vehicle collisions, traffic rule violation) under real-world AD settings with closed-loop control? To answer this critical question, in this work we take the necessary first step by performing the first measurement study on whether and how effective the existing designs can lead to system-level effects. Our early results find that RP2 and FTE, as two representative examples of prior works, cannot achieve any system-level effect in a representative closed-loop AD setup in common STOP sign-controlled road speeds. In the future, we plan to 1) perform a more comprehensive measurement study using both simulated environments and a real vehicle-sized AD R&D chassis; and 2) analyze the measurement study results and explore new attack designs that can better achieve the system-level effect in AD systems.
The Impact of Sovereign Credit Rating Changes on the Capital Markets in Developing Countries : The Role of Regulation

This paper examines the impact of credit rating agency reforms on the information content of sovereign credit ratings and capital market efficiency. Specifically, the dynamic behaviour of yield spreads and stocks returns around sovereign credit rating changes is examined over two time periods: Before and after the implementation of the Dodd-Frank Act of 2010. I study a sample of six developing countries and conduct event study analysis using 108 rating events. The results of the event studies show that the information content of sovereign credit ratings and the efficiency of the market response to rating changes has increased in developing country stock markets after the Dodd-Frank Act. However, the market efficiency and information content have not improved in sovereign bond markets after the Dodd-Frank Act.
Label-free optical hemogram of granulocytes enhanced by artificial neural networks

An outstanding challenge for immunology is the classification of immune cells in a label-free fashion with high speed. For this purpose, optical techniques such as Raman spectroscopy or digital holographic microscopy have been used successfully to identify immune cell subsets. To achieve high accuracy, these techniques require a post-processing step using linear methods of multivariate processing, such as principal component analysis. Here we demonstrate for the first time a comparison between artificial neural networks and principal component analysis (PCA) to classify the key granulocyte cell lineages of neutrophils and eosinophils using both digital holographic microscopy and Raman spectroscopy. Artificial neural networks can offer advantages in terms of classification accuracy and speed over a PCA approach. We conclude that digital holographic microscopy with convolutional neural networks based analysis provides a route to a robust, stand-alone and high-throughput hemogram with a classification accuracy of 91.3 % at a throughput rate of greater than 100 cells per second. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.