Miracle-dz/UniFAR-FTUs huggingface dataset:
Running Head: Hemispheric Processing of Slogans Brand Familiarity in Advertisement Slogans: The Role of the Left and Right Cerebral Hemispheres

Previous research shows that brand familiarity can affect purchase behavior, such that a familiar brand will be preferred over a less familiar brand. Previous research also shows that the use of metaphoric advertisements increases purchase intent. However, it is unknown how consumers implicitly process familiar brands when reading advertisements. Through the divided visual field paradigm, we investigated how the left and right cerebral hemispheres process familiar brands when presented with advertisement slogans. Participants in this experiment read familiar brand names and were presented with metaphoric, literal, or neutral slogans. Participants responded to related target words briefly shown to either the right or left hemisphere. The right hemisphere showed greater facilitation for literal than for metaphoric slogans when consumers were presented with familiar brands. Purchase intent ratings were higher when targets were presented to the left hemisphere. These findings suggest that brand familiarity influences consumers’ processing of slogans in the right hemisphere and affects purchase intent ratings in the left hemisphere.
THE EFFECT OF PRODUCT’S ATTRIBUTE ATTRACTIVENESS ON THE RELATIONSHIP BETWEEN PRODUCT INNOVATION AND COSTUMER’S PURCHASING INTEREST ( A STUDY ON CUSTOMERS OF HONDA MATIC MOTORCYELE IN INDONESIA)

The aim of this paper is to investigate empirical study of product innovation and identify the effect of product attractiveness and product positioning quality in customer’s repeat intention on the firm based on the context of customer. This paper aims to develop and give solution of research gap problem on product innovation in customer purchasing interest. Hypothesis 1 is supported, which indicates that positive impact of product innovation on customer purchasing interest. Hypothesis 2 is supported, which indicates the impact of product innovation on product positioning quality. The results did not support hypothesiss 3, which states that the impact of product’s attractiveness on product positioning quality. The results indicate the positive impact of product attractiveness, on customer purchasing interest, thus, confirming hypothesis 4. Finally, hypothesis 5 is supported, which indicates that impact product positioning quality on customer purchasing interest.
Service Quality from Customer Perception: Comparative Analysis between Islamic and Conventional Bank

The present study explores the relationship between service quality and customer perception. Service quality and customer perception of leading Islamic and conventional banks in Brunei is analyzed through comparative analysis. The comparative analysis on customer perception of service quality between both bank customers is done by deploying Carter’s service quality model. The quantitative data was collected from 255 Islamic and conventional bank customers through purposive snowball sampling using self-administrated questionnaire. The findings of the study revealed that Islamic bank customers had better service quality perception and were more satisfied towards the provided services compared to conventional bank customers. Islamic bank customers’ perceived tangibles and assurance as the most significant components of an exceptional service quality whereas conventional bank customers perceived assurance and innovation as the most significant components of service quality. There are certain limitations associated with this study such as small sample size and data collection in specific geographical locations. This study has various practical implications for professional bankers, financers, regulators and policy makers. The regulators and policy makers of Islamic and conventional banks may implement the findings of this study to improve customer perception through better quality assurance. The study has significantly contributed towards the knowledge on service quality and customer perception particularly in context of Brunei. Key words : Service quality, customer perception, Carter, Comparison, Brunei
Ecology of Syllidae (Annelida: Polychaeta) from shallow rocky environments in the Cantabrian Sea (South Bay of Biscay)

The syllids inhabiting 12 hard bottom macrobenthic habitats were studied. A total of 38 species belonging to 19 genera were identified. Differences in density, species richness, and diversity among habitats were analysed, as well as the relationships between these ecological parameters and depth range, slope and in-bay/out-bay gradient. The effect of environmental variables on syllid distribution was studied using canonical ordination. A high faunistic homogeneity has been found, since all biotopes were dominated by a low number of eurytopic species ( Syllis armillaris, S. gracilis and S. variegata ). Habitat complexity, determined by physical disturbance, is the main structuring factor in syllid populations. Biotopes with the highest structural complexity displayed a high number of companion species increasing ecological indices and denoting a well-structured habitat. On the other hand, communities such as in upper intertidal habitats, mainly controlled by physical environmental variables, showed a poorer syllid fauna, dominated by ubiquitious species and a few stenotopic species well-adapted to those environments. However, this is not the case in some other intertidal biotopes, such as in Corallina , whose tangled structure prevents drying and provides shelter from predation, allowing a richer and more diverse syllid fauna.
Holistic Representations for Memorization and Inference

In this paper we introduce a novel holographic memory model for the distributed storage of complex association patterns and apply it to knowledge graphs. In a knowledge graph, a labelled link connects a subject node with an object node, jointly forming a subject-predicate-objects triple. In the presented work, nodes and links have initial random representations, plus holistic representations derived from the initial representations of nodes and links in their local neighbourhoods. A memory trace is represented in the same vector space as the holistic representations themselves. To reduce the interference between stored information, it is required that the initial random vectors should be pairwise quasi-orthogonal. We show that pairwise quasi-orthogonality can be improved by drawing vectors from heavy-tailed distributions, e.g., a Cauchy distribution, and, thus, memory capacity of holistic representations can signiﬁcantly be improved. Furthermore, we show that, in combination with a simple neural network, the presented holistic representation approach is superior to other methods for link predictions on knowledge graphs.
Using the level set method in geodynamical modeling of multi-material flows and Earth's free surface

Abstract. The level set method allows for tracking material surfaces in 2-D and 3-D flow modeling and is well suited for applications of multi-material flow modeling. The level set method utilizes smooth level set functions to define material interfaces, which makes the method stable and free of oscillations that are typically observed in case step-like functions parameterize interfaces. By design the level set function is a signed distance function and gives for each point in the domain the exact distance to the interface as well as on which side it is located. In this paper we present four benchmarks which show the validity, accuracy and simplicity of using the level set method for multi-material flow modeling. The benchmarks are simplified setups of dynamical geophysical processes such as the Rayleigh–Taylor instability, post-glacial rebound, subduction and slab detachment. We also demonstrate the benefit of using the level set method for modeling a free surface with the sticky air approach. Our results show that the level set method allows for accurate material flow modeling and that the combination with the sticky air approach works well in mimicking Earth's free surface. Since the level set method tracks material interfaces instead of materials themselves, it has the advantage that the location of these interfaces is accurately known and that it represents a viable alternative to the more commonly used tracer method.
Effect of Oxygen on Biochar Yield and Properties

Air infiltration in mass scale industrial applications of bio char production is inevitable. The presence of oxygen during the carbonization process is detrimental to the production of biochar yield and properties. The experiment was carried out on several wood species in a fixed-bed pyrolyser under various fractions of oxygen ranging from 0% to 11% by varying nitrogen and oxygen composition in the pyrolysing gas mixtures at desired compositions. The bed temperature and holding time were also varied. Process optimization was carried out by Response Surface Methodology (RSM) by employing Central Composite Design (CCD) using Design Expert 6.0 Software. The effect of oxygen ratio and holding time on biochar yield within the range studied were statistically significant. From the analysis result, optimum condition of 15.2% biochar yield of mangrove wood was predicted at pyrolysis temperature of 403 C, oxygen percentage of 2.3% and holding time of two hours. This prediction agreed well with the experiment finding of 15.1% biochar yield. Keywords—Mangrove wood, slow pyrolysis, oxygen infiltration.
EVALUATION OF THE TOXIC EFFECTS OF DIFENOCONAZOLE FUNGICIDE (SCORE) ON MALE ALBINO RATS

This study was designed to estimate the LD50 of Score (difenoconazole) fungicide and evaluate its toxic effects on body weight, liver weight, some biochemical parameters and hematological profiles of male albino rats after chronic oral daily doses (1/20, 1/10 and 1/5 LD.50) for 8 weeks. Rats were divided into 4 groups, the first group (G1) as control group, the other groups (G2, G3 and G4) treated daily with 20,40 and 80 mg/100 g.b. w. for 1, 4 and 8 weeks respectively The medium lethal dose (LD.50) of Score was 400 mg /100g. body weight of adult male rat. Significant decreases in body weight, serum total protein, albumin, globulin, liver DNA and liver RNA, RBCs count, hemoglobin and blood Platelets count However, significantly increase observed in hepatosomatic index, serum enzymes (ALAT, ASAT, ALP and CK), cholesterol, triglyceride, total lipids, serum creatinine and serum bilirubin and WBC's count
Sensitivity of the Ocean State to the Vertical Distribution of Internal-Tide-Driven Mixing

AbstractThe ocean interior stratification and meridional overturning circulation are largely sustained by diapycnal mixing. The breaking of internal tides is a major source of diapycnal mixing. Many recent climate models parameterize internal-tide breaking using the scheme of St. Laurent et al. While this parameterization dynamically accounts for internal-tide generation, the vertical distribution of the resultant mixing is ad hoc, prescribing energy dissipation to decay exponentially above the ocean bottom with a fixed-length scale. Recently, Polzin formulated a dynamically based parameterization, in which the vertical profile of dissipation decays algebraically with a varying decay scale, accounting for variable stratification using Wentzel–Kramers–Brillouin (WKB) stretching. This study compares two simulations using the St. Laurent and Polzin formulations in the Climate Model, version 2G (CM2G), ocean–ice–atmosphere coupled model, with the same formulation for internal-tide energy input. Focusing mainl.
From General to Specific : Leveraging Named Entity Recognition for Slot Filling in Conversational Language Understanding

English. Slot filling techniques are often adopted in language understanding components for task-oriented dialogue systems. In recent approaches, neural models for slot filling are trained on domainspecific datasets, making it difficult porting to similar domains when few or no training data are available. In this paper we use multi-task learning to leverage general knowledge of a task, namely Named Entity Recognition (NER), to improve slot filling performance on a semantically similar domain-specific task. Our experiments show that, for some datasets, transfer learning from NER can achieve competitive performance compared with the state-of-the-art and can also help slot filling in low resource scenarios. Italiano. Molti sistemi di dialogo taskoriented utilizzano tecniche di slot-filling per la comprensione degli enunciati. Gli approcci piú recenti si basano su modelli neurali addestrati su dataset specializzati per un certo dominio, rendendo difficile la portabilitá su dominii simili, quando pochi o nessun dato di addestramento é disponibile. In questo contributo usiamo multitask learning per sfruttare la conoscenza generale proveniente da un task, precisamente Named Entity Recognition (NER), per migliorare le prestazioni di slot filling su dominii specifici e semanticamente simili. I nostri esperimenti mostrano che transfer learning da NER aiuta lo slot filling in dominii con poche risorse e raggiunge risultati competitivi con lo stato dell’arte.
Welfare and Price Impacts of Price-Insulating Policies

In this paper we analyze the impacts on welfare and poverty of policies that insulate domestic food prices from international prices. Varying protection rates in order to insulate domestic prices from movements in international prices appears to be a very common approach to attempting to stabilize domestic prices. When prices rise, this involves exporters introducing and/or raising export barriers—which will create economic efficiency losses but improve their terms of trade. For importers, reductions in import duties are a common response, with gains in economic efficiency, but potential terms-of-trade losses. When many countries follow this policy, the stabilizing impact on domestic prices is, on average, eliminated, although countries that insulate more than others may experience reductions in price volatility, while those who insulate less may experience increases in price volatility. This paper will provide estimates of the impacts of changes in price distortions in major economies for domestic prices and national economic welfare, taking into account the impacts of changes in countries’ own policies and those of their trading partners during key periods of price instability in world commodity markets. Our methodology uses the short-run GTAP-AGR model and the set of detailed estimates of distortions to agricultural incentives estimates estimated in the global agricultural distortions project. By aggregating these individual impacts, we are able to evaluate whether domestic prices in each country/region were stabilized or destabilized by price insulating policies, and to assess the impacts on economic welfare of these policies. For key countries, we will assess the impacts on individual, households in order to form an initial assessment of the impacts of these policies for poverty and food security.
Factors Affecting Alcohol Consumption: The Case of Penang, Malaysia

In light of the increases in alcohol-induced diseases and social problems, the present study sets out to examine the factors affecting alcohol consumption among adults in Penang (Malaysia) using a cross-sectional survey sample consisting of 398 respondents. The results of the logistic regression analysis show that age, gender, ethnicity, marital status and smoking are significantly associated with alcohol consumption. In particular, males (OR: 3.720; 95% CI: 1.939, 7.136), Chinese (OR: 3.628; 95% CI: 1.808, 7.279) and smokers (OR: 5.083; 95% CI: 1.876, 13.774) are more likely to consume alcohol than others, whereas, old individuals (OR: 0.971; 95% CI: 0.941, 1.002), Malays (OR: 0.059; 95% CI: 0.021, 0.165) and married individuals (OR: 0.419; 95% CI: 0.211, 0.833) are less likely to consume alcohol than others. Based on the findings of the present study, several intervention strategies toward reducing alcohol consumption are proposed. Specifically, these strategies should be targeted at young individuals, males, Chinese, unmarried individuals and smokers.
Nonharmonic Fourier series and spectral theory

We consider the problem of using functions g" (x) exp (iX,1 x) to form biorthogonal expansions in the spaces LP(-7r, sr), for various values of p. The work of Paley and Wiener and of Levinson considered conditions of the form IX,, nI < A (p) which insure that {g,,} is part of a biorthogonal system and the resulting biorthogonal expansions are pointwise equiconvergent with ordinary Fourier series. Norm convergence is obtained for p = 2. In this paper, rather than imposing an explicit growth condition, we assume that { X, n } is a multiplier sequence on LP (-T, 7T). Conditions are given insuring that { g,, } inherits both norm and pointwise convergence properties of ordinary Fourier series. Further, Xn and gn are shown to be the eigenvalues and eigenfunctions of an unbounded operator A which is closely related to a differential operator, i A generates a strongly continuous group and -A2 generates a strongly continuous semigroup. Half-range expansions, involving cos X, x or sin X n x on (0, 7T) are also shown to arise from linear operators which generate semigroups. Many of these results are obtained using the functional calculus for well-bounded operators.
Mental health, anthropometry and blood pressure among adolescents living in slums of Nashik, India

Background : Both hypertension and depression are common disorders and obesity is on the rise in low and middle-income countries. Because early life changes may prove to be precursors to the development of diseases in adult, assessing the mental and physical health of younger population is crucial. This study aimed to determine the association between blood pressure, mental health and anthropometric status of adolescents from urban slums in Nashik, India. Methods : A cross-sectional observational study was conducted among eligible adolescents during November 2010 and April 2011 in two randomly selected slums of Nashik, Maharashtra, India . A total of 545 adolescents were selected from 276 households. Data on socio-demographic indicators, anthropometry, blood pressure, mental wellbeing, and addictions were collected using pretested structured questionnaires by house visits. Mental wellbeing was examined using the General Health Questionnaire with 12 items (GHQ-12). A higher score indicates more-optimal mental wellbeing. Linear mixed effects models were used to analyse the data. Results : Girls had better mental wellbeing scores than boys. Adolescents with low mental wellbeing score had higher percentage of stunting (22%) compared to high scores. The factors associated significantly with systolic blood pressure (SBP) were age, mid mental wellbeing score, stunting, and thinness. For diastolic blood pressure (DBP), sex, high mental wellbeing score, and father's education were, in addition, also significant. When moving from the low to mid mental wellbeing score, SBP and DBP decreased and the same was observed for high score. The prevalence of prehypertension was 20%. Conclusion : The findings showed that the adolescents do run a higher risk of substance abuse, health-related problems and higher SBP and DBP if there is an evidence of distress. It brings into focus the importance of mental health management in adolescents.
Effect of increasing atmospheric CO2 concentration on photosynthetic diurnal variation characteristics of hybrid rice: a FACE study

大气二氧化碳（CO2）浓度增高导致全球变暖，但作为光合作用底物促进绿色作物的光合作用。 为了明确高CO2浓度对杂交水稻结实期光合日变化的影响，2014年利用稻田FACE（Free Air CO2 Enrichment）平台，以生产上曾创高产纪录的两个杂交稻新组合甬优2640和Y两优2号为供试材料，设置环境CO2和高CO2浓度（增200 μmol/mol）两个水平，测定杂交稻抽穗期和灌浆中期光合作用日变化和成熟期生物量。 结果表明，高CO2浓度环境下两组合抽穗期叶片净光合速率均大幅增加（全天平均52%），但灌浆中期的平均增幅减半，其中Y两优2号这种光合下调表现更为明显。 大气CO2浓度升高使两杂交稻组合抽穗和灌浆中期叶片气孔导度均大幅下降，导致蒸腾速率下降而水分利用效率大幅增加，Y两优2号气孔导度和蒸腾速率对CO2的响应上午大于下午，而甬优2640表现相反。 尽管大气CO2浓度升高使杂交稻结实期不同时刻胞间CO2浓度均大幅增加，但对气孔限制值特别是胞间CO2与空气CO2浓度之比多无显著影响，两品种趋势一致。 大气CO2浓度升高对甬优2640地上部生物量及其组分的影响明显大于Y两优2号，CO2与品种间多存在互作效应。 以上结果表明，与甬优2640相比，Y两优2号最终生产力从高CO2浓度环境中获益较少可能与该品种生长后期存在明显的光合适应有关，但这种光合适应似乎不是由气孔限制造成的。
Effect of Anaesthesia with Clove Oil and Benzocaine on Feed Intake in Siberian Sturgeon (Acipenser baerii Brandt, 1869)

The aim of this study wasto determine the optimal dose and the time required to reach a stable level of anaesthesia using clove oil and benzocaine on Siberian sturgeon fry (Acipenser baerii Brandt, 1869) with a mean length of 10.0±0.93 (7.2-12.0) cm and weight of 4.1±0.95 (2.1-6.4) g, and to compare the effects of them on feed intake after anaesthesia. In addition, the survival time and relationship between exposure duration and recovery time in 96 min with the optimal concentrations of these two anaesthetics were examined as part of the anaesthesia procedure. Effective concentrations (EC50) were estimated to be 356 (330-381) mg/L of clove oil and 37 (33-40) mg/L of benzocaine for 3 minutes with 95% confidence limits. The recovery time with clove oil was longer than with benzocaine at 6, 12, 24 and 48 minutes (P<0.05). The mean lethal times (MLT50) were estimated as 37.2 (5.1-69.3) min for clove oil and 63.0 (6.1-120.0) min for benzocaine with 95% confidence limits. Feed intake in fish treated with clove oil and benzocaine occurred within ten minutes, but the effect of both anaesthetics on feed intake continued for 4 h. However, it was determined that the effect of clove oil on feed intake was less than that of benzocaine.
SIMPLE KNOTS IN COMPACT,

A simple closed curve J in the interior of a compact, orientable 3-manifold M is called a simple knot if the closure of the complement of a regular neighborhood of J in M is irreducible and boundary-irreducible and contains no non-boundary-parallel, properly embedded, incompressible annuli or tori. In this paper it is shown that every compact, orientable 3-manifold M such that 9AÍ contains no 2-spheres contains a simple knot (and thus, from work of Thurston, a knot whose complement is hyperbolic). This result is used to prove that such a 3-manifold is completely determined by its set %( M) of knot groups, i.e, the set of groups »,( M — J) as J ranges over all the simple closed curves in M. In addition, it is proven that a closed 3-manifold M is homeomorphic to S3 if and only if every simple closed curve in M shrinks to a point inside a connected sum of graph manifolds and 3-cells.
Synchronized Molecular-Dynamics Simulation of the Thermal Lubrication of an Entangled Polymeric Liquid

The thermal lubrication of an entangled polymeric liquid in wall-driven shear flows between parallel plates is investigated by using a multiscale hybrid method, coupling molecular dynamics and hydrodynamics (i.e., the synchronized molecular dynamics method). The temperature of the polymeric liquid rapidly increases due to viscous heating once the drive force exceeds a certain threshold value, and the rheological properties drastically change at around the critical drive force. In the weak viscous-heating regime, the conformation of polymer chains is dominated by the flow field so that the polymers are more elongated as the drive force increases. However, in the large viscous-heating regime, the conformation dynamics is dominated by the thermal agitation of polymer chains so that the conformation of polymers recovers more uniform and random structures as the drive force increases, even though the local shear flows are further enhanced. Remarkably, this counter-intuitive transitional behavior gives an interesting re-entrant transition in the stress–optical relation, where the linear stress–optical relation approximately holds even though each of the macroscopic quantities behaves nonlinearly. Furthermore, the shear thickening behavior is also observed in the large viscous-heating regime—this was not observed in a series of previous studies on an unentangled polymer fluid. This qualitative difference of the thermo-rheological property between the entangled and unentangled polymer fluids gives completely different velocity profiles in the thermal lubrication system.