Miracle-dz/UniFAR-FTUs huggingface dataset:
Increasing Early Awareness of Hazard of Children with ADHDâ€™s ODD and Aggression by Structural Equation Modeling (SEM)

Background : The hazard of children with Attention Deficit Hyperactivity Disorder (ADHD) occurring Oppositional Defiant Disorder (ODD) (shorten as ADHDâ€™s ODD) and aggression is not well understood. This study employs structural equation modeling (SEM) to operationalize aggression as joined symptoms on children with ADHDâ€™s ODD by analyzing how aggression symptom transact the symptom severity of ADHDâ€™s ODD. Methods : ADHD children and adolescents received clinical diagnosis and inattention (ADHD-I), hyperactivity/impulsivity (ADHD-H/I), and ODD subscale of Swanson, Nolan, and Pelham, version IV scale (SNAP-IV-C) and child behaviour check list (CBCL). SEM was applied to associate ADHD-I, ADHD-H/I, and ODD subscale to aggression. Results : Significantly aggressive symptom on CBCL interact with symptom of ADHD, ODD on SNAP; the standardized direct effect of ADHD symptom by SNAP on behavior symptom by CBCL is 0.57 and the standardized total (direct and indirect) effect of ODD symptom on behavior symptom is 0.34. Children with ADHDâ€™s ODD symptom share similar characteristic symptom as symptom of ADHD children with deficient emotional self-regulation (DESR). The aggression is highly correlated with ODD (0.607). Conclusions : On ADHD symptom, the likelihood of symptom severity is predicted by the symptom of ADHD-I, ADHD-H/I, and ODD. On ODD symptom, ODD is associated with aggression and anxiety/depression symptom. There is a need to regard child with symptom of ADHDâ€™s ODD and aggression as a child with heavy genetic loading and predictor of disruptive behavior disorder .
Too Much Cooperation-Work Exchange in Peruvian Communities

The general assumption in the Social Capital literature is that cooperation is good for development. However, such studies often analyze tasks where, in reality, compliance depends on institutional powers. This data set of 49 Peruvian highland communities a questionnaire survey conducted by the author includes work exchange as an example of a truly voluntary agreement between rural peasants. A regression analysis gives a significant hump-shaped effect. Some work exchange increases income, but the marginal effect actually turns negative for the 40 percent most cooperation minded communities. A game theoretical model demonstrates that rational agents will cooperate too much in traditional work tasks if the prevailing norms do not change as individual solutions become more efficient during the modernization process. Code-words: Social Capital, reciprocity, work exchange, collective action, institutions, modernization, Peru JEL-code: C21, D7, O13, Z13 Acknowledgements: I am grateful for comments and suggestions by Steinar Holden, Kjetil Storesletten, Halvor Mehlum, Karl Ove Moene, Ole Christian Moen, Eivind Bernhardsen, Jemima García-Godos, Magnus Hatlebakk and Rosemary Thorp; seminar participants at The University of Oslo and Nordic Network of Development Economists (NNDE) Conference 2004; and the interdisciplinary group of researcher working in Tambo. Remaining errors are my own responsibility. I further give a special thanks to my fieldwork assistant Edwing Huicho Quispe, the Institute of Peruvian Studies for office facilities in Lima and the Norwegian Research Council for funding (grant #135681/730).
A Novel Performance Metric of Routing Algorithm

The widely used routing algorithm performance metric of adaptiveness cannot precisely measure performance of routing algorithm. In this paper, we propose a new metric of routing pressure for measuring routing algorithm performance. It has higher precision of measuring routing algorithm performance than degree of adaptiveness. Performance of routing algorithm can be evaluated through routing pressure without simulation. It can explain why congestion takes place in network. In addition, where and when congestion takes place can be pointed out without simulation.
Data Mining Techniques and their role in Intrusion Detection Systems

As more and more crucial data is being loaded on computer servers, the security of government and commercial industrial servers is the main concern. The Intrusion Detection Systems can address these problems but they face challenges in robust and changing environments. Data-Mining based IDS at the same time can provide more accuracy of results and Data mining can automatically find the relationships and similarities in patterns in raw data, and can deliver results that can be either utilised in an automated decision support system or assessed by a human analyst thus enhancing the quality of the intrusion detection process. This review will focus on the data mining techniques and their role in intrusion detection systems.
Correlation of Liquid-Liquid Equilibria for Alkane+Methanol+Aromatics Ternary Systems by Using Modified Wilson Equation with Parameters Estimated from Pure-Component Properties

A useful model, previously proposed, has been applied to calculate liquid–liquid equilibria of alkane + methanol + ether ternary systems from pure-component properties alone. Its prediction performances are evaluated in comparison with UNIFAC widely adopted. In this study, the temperature dependency of multi-component parameter in the model has been examined and discussed.
EXTRACTING 3 D SEMANTIC INFORMATION FROM VIDEO SURVEILLANCE SYSTEM USING DEEP LEARNING

At present, intelligent video analysis technology has been widely used in various fields. Object tracking is one of the important part of intelligent video surveillance, but the traditional target tracking technology based on the pixel coordinate system in images still exists some unavoidable problems. Target tracking based on pixel can’t reflect the real position information of targets, and it is difficult to track objects across scenes. Based on the analysis of Zhengyou Zhang's camera calibration method, this paper presents a method of target tracking based on the target's space coordinate system after converting the 2-D coordinate of the target into 3-D coordinate. It can be seen from the experimental results: Our method can restore the real position change information of targets well, and can also accurately get the trajectory of the target in space.
The state-ofthe-art of collaborative technologies for initial vocational education : a systematic literature

Empfohlene Zitierung/ Suggested Citation: Schwendimann, Beat A. ; Wever, Bram de; Hämäläinen, Raija; Cattaneo, Alberto A. P.: The state-of-the-art of collaborative technologies for initial vocational education: a systematic literature review In: International journal for research in vocational education and training 5 (2018) 1, S. 19-41 URN: urn:nbn:de:0111-pedocs-155644 http://nbn-resolving.de/urn:nbn:de:0111-pedocs-155644
The International Allocation of R&D Activity by US Multinationals: The East Asian Experience in Comparative Perspective

This paper examines patterns and determinants of overseas R&D expenditure of MNEs, with emphasis on the East Asian experience, using a new panel dataset relating to US-based manufacturing MNEs over the period 1990-2001. It is found that inter-country differences in R&D intensity of operation of US MNE affiliates are fundamentally determined by the domestic market size, overall R&D capability and cost of hiring R&D personnel. The impact of domestic market orientation of affiliates on R&D propensity varies among countries depending on their stage of global economic integration. Intellectual property protection seems to matter largely for mature economies with complementary endowments. There is no evidence to suggest that financial incentives have a significant impact on inter-country differences in R&D intensity when controlled for other relevant variables. Nor is there a statistically significant relationship between the size of the capital stock of MNEs and R&D intensity of their operation across countries. Overall, our findings serve as a caution against paying too much attention by host country governments on turning MNEs affiliates into technology creators as part of their foreign direct investment policy.
Reaction of winter spelt cultivars to reduced tillage system and chemical plant protection

A three-factor field experiment evaluated grain yield, yield components and some grain quality traits (Zeleny sedimentation value and the contents of protein, gluten, starch, carotene, lutein, zeaxanthin and amino acids) of eight winter spelt cultivars as influenced by the tillage system (conventional and reduced tillage) and chemical plant protection (application of two herbicides: Mustang 306 SE and Attribut 70 WG, a fungicide Alert 375 SC and a growth regulator Stabilan 750 SL). Plots without the use of plant protection chemicals were the control treatment. Yield and chemical composition of spelt grain were most dependent on the genetic determinants of the individual cultivar, but it is possible to affect yield quantity and quality through agronomic factors. The highest grain yields were produced by the cultivars ‘Badengold’, ‘Ceralio’, ‘Frankenkorn’ and ‘Ostro’, while in terms of grain quality the most valuable were cvs. ‘Ceralio’ and ‘Ostro’. Under the conditions of reduced tillage system, the spelt grain yields were significantly lower than under the conventional tillage, but the evaluated cultivars responded differently to this factor. The highest reduction in yield compared to conventional soil tillage was found for the cvs. ‘Oberkulmer Rotkorn’, ‘Spelt I.N. Z. ’ and ‘Schwabenkorn’, while the lowest one for cv. ‘Ceralio’. On the other hand, the ploughless tillage contributed to a significant increase in Zeleny sedimentation value as well as in grain protein and gluten content, whereas the starch content decreased. At the same time, the grain amino acid content was at a similar level under both tillage systems. Chemical plant protection significantly increased the Zeleny sedimentation value and the grain protein content. The number of ears per 1 m2 and grain yields also increased and the highest yield increase compared to the treatment without chemical plant protection products was achieved by the cvs. ‘Schwabenkorn’, ‘Spelt I.N. Z. ’ and ‘Frankenkorn’.
Experiments in Identification of Italian Temporal Expressions

SUMMARY. We describe our experiments in participating to the EV aluation of Events aNd Temporal Information(EVENTI) task, for the EVALITA 2014 evaluation campaign. We used the HeidelTime tagger extended with a wrapper for the Tanl POS tagger and tokenizer of the Tanl suite. The rules for recognizing Italian temporal expressions were rewritten and extended after the submission, leading to a 10 point increase in F1 over the Italian rules in the HeidelTime distribution. RIASSUNTO. Nell’articolo descriviamo gli esperimenti svolti per la nostra partecipazione al task EValuation of Events aNd Temporal Information(EVENTI), nel’ambito della campagna di valutazione EVALITA 2014. Per il riconoscimento e normalizzazione delle espresioni temporali abbiamo utilizzato il tagger HeidelTime, estendendolo con un wrapper per poter utilizzare il POS tagger e il tokenizer della suite di NLP Tanl. Le regole per il riconoscimento delle espressioni temporali in italiano sono state riscritte ed estese, dopo la sottomissione, ottenendo un miglioramento di 10 punti di F1 rispetto alle regole presenti nella distribuzione di HeidelTime.
Large but decreasing effect of ozone on the European carbon sink

Abstract. The capacity of the terrestrial biosphere to sequester carbon and mitigate climate change is governed by the ability of vegetation to remove emissions of CO2 through photosynthesis. Tropospheric O3, a globally abundant and potent greenhouse gas, is, however, known to damage plants, causing reductions in primary productivity. Despite emission control policies across Europe, background concentrations of tropospheric O3 have risen significantly over the last decades due to hemispheric-scale increases in O3 and its precursors. Therefore, plants are exposed to increasing background concentrations, at levels currently causing chronic damage. Studying the impact of O3 on European vegetation at the regional scale is important for gaining greater understanding of the impact of O3 on the land carbon sink at large spatial scales. In this work we take a regional approach and update the JULES land surface model using new measurements specifically for European vegetation. Given the importance of stomatal conductance in determining the flux of O3 into plants, we implement an alternative stomatal closure parameterisation and account for diurnal variations in O3 concentration in our simulations. We conduct our analysis specifically for the European region to quantify the impact of the interactive effects of tropospheric O3 and CO2 on gross primary productivity (GPP) and land carbon storage across Europe. A factorial set of model experiments showed that tropospheric O3 can suppress terrestrial carbon uptake across Europe over the period 1901 to 2050. By 2050, simulated GPP was reduced by 4 to 9 % due to plant O3 damage and land carbon storage was reduced by 3 to 7 %. The combined physiological effects of elevated future CO2 (acting to reduce stomatal opening) and reductions in O3 concentrations resulted in reduced O3 damage in the future. This alleviation of O3 damage by CO2-induced stomatal closure was around 1 to 2 % for both land carbon and GPP, depending on plant sensitivity to O3. Reduced land carbon storage resulted from diminished soil carbon stocks consistent with the reduction in GPP. Regional variations are identified with larger impacts shown for temperate Europe (GPP reduced by 10 to 20 %) compared to boreal regions (GPP reduced by 2 to 8 %). These results highlight that O3 damage needs to be considered when predicting GPP and land carbon, and that the effects of O3 on plant physiology need to be considered in regional land carbon cycle assessments.
Plasma action on helium flow in cold atmospheric pressure plasma jet experiments

In this work, helium flow modifications, visualized by schlieren imaging, induced by the plasma generated in a plasma jet have been studied in conditions used for biomedical treatments (jet being directed downwards with a low helium flow rate). It has been shown that the plasma action can shift up to few centimeters downstream the effects of buoyancy, which allows to the helium flow to reach a target below in conditions for which it is not the case when the plasma is off. This study reveals the critical role of large and long lifetime negative ions during repetitive operations in the kHz regime, inducing strong modifications in the gas propagation. The cumulative added streamwise momentum transferred to ambient air surrounding molecules resulting from a series of applied voltage pulses induces a gradual built up of a helium channel on tens of millisecond timescale. In some conditions, a remarkable stable cylindrical helium channel can be generated to the target with plasma supplied by negative polarity voltage pulses whereas a disturbed flow results from positive polarity operation. This has a direct effect on air penetration in the helium channel and then on the reactive species production over the target which is of great importance for biomedical applications. It has also been shown that with an appropriate combination of negative and positive polarity pulses, it is possible to benefit from both polarity features in order to optimize the plasma plume propagation and plasma delivery to a target.
Evaluation of Friction Coefficient and Adhesion Properties of Silicon Carbon Nitride Films Prepared by HWCVD

We have investigated the friction-coefficient properties of silicon carbon nitride (SiCN) films deposited on stainless steel substrates and the adhesion properties of SiCN films deposited on Si(100). The SiCN films were deposited by hot-wire chemical vapor deposition using hexamethyldisilazane and ammonium. It was found that SiCN coating was able to effectively reduce the frictional coefficient of the stainless steel substrates. The adhesion strength was measured by surface-interface physical property analysis equipment (SAICAS) and was found to be 45 N/m for the as-deposited SiCN film on Si(100). Furthermore, a maximum adhesive strength of 92 N/m was obtained after treating the film for 10 min at 1000 ◦C.
Four Hardware Experiments For Advanced Dynamics And Control

The faculty of the mechanical and electrical engineering departments at Rose-Hulman Institute of Technology have developed many experiments for system modeling and control. In this work, we present the development of additional experiments intended to broaden the repertoire of courses in which the controls lab hardware is used. First, we capitalize on previous modeling experiments using both step response and frequency response to precisely identify the parameters of linear and radial hanging crane models. Second, students use the stable model obtained through frequency response to form the open-loop unstable model of the plant in inverted pendulum mode. They then apply Ackermann's formula to obtain the state feedback gains to place the closed loop poles at locations suggested by the professor. Third, we present a state feedback control experiment based on a two degree of freedom mass-spring system with rigid body mode. Control of this device is analogous to control through a flexible manipulator, except that the system is simplified to one-dimensional motion. Fourth, we show a proposed modeling and parameter identification laboratory for a graduate level dynamics course. Students are required to develop the system non-linear kinematic equations, then apply LaGrange's formulae to obtain two degree of freedom kinetic equations. They are then expected to obtain experimental response data, and provide precise estimates of system physical parameters through matching theoretical response with experimental.
Impact of Different Vehicle Models on Threat Assessment in Critical Curve Situations

Curve speed warning systems (CSW) utilize information about the road and warn drivers if they are about to enter a curve too fast. Recent research shows that CSW is successful in warning for upcoming curves. However no statistically significant change in driver behaviour due to CSW has been shown. In addition, a common requirement cited by drivers is that the amount of false alarms needs to be reduced. This paper evaluates how the level of detail in the modelled vehicle dynamics influences the threat assessment in a situation with an oncoming curve. The point mass model that is commonly used by CSW is compared with more detailed models. Maximum velocity the vehicle can have while still following a curve is investigated and compared for the point mass model, the single track model and the double track model. It is shown that as the level of detail in the modelled dynamics increase, the maximum velocity profile is significantly reduced. This implies that in order to make a reliable threat assessment that can reduce the amount of false alarms and even be used as a base for an autonomous intervention, a more complex vehicle model than the point mass model is required.
Transparency as Contested Political Terrain: Who Knows What about the Global GMO Trade and Why does it Matter

This article explores the prospects for transparency to be a transformative force in global biosafety governance. It analyzes whether information disclosure can further a right to know and choose, and hence facilitate oversight over transnational transfers of genetically modified organisms (GMOs). It examines the question of Whose right to know what and why? with regard to GMOs in the agricultural commodity trade in relation to the global Cartagena Protocol on Biosafety. I argue that the limited disclosure obligations in this global context follow rather than shape market developments, and that complex infrastructures of sampling, testing and detection are required to put disclosed information to use. If so, rather than a normative right-to-know of importing countries, a competing norm of caveat emptor (let the buyer beware) prevails. I conclude that the potential of transparency to empower remains unrealized, particularly for the poorest countries most reliant on globally-induced disclosure.
A tri-objective, dynamic weapon assignment model for surface-based air defence

In a military surface-based air defence environment, a fire control officer typically employs a computerised weapon assignment decision support subsystem to aid him in the assignment of available surface-based weapon systems to engage aerial threats in an attempt to protect defended surface assets - a problem known in the military operations research literature as the weapon assignment problem. In this paper, a tri-objective, dynamic weapon assignment model is proposed by modelling the weapon assignment problem as a multi-objective variation of the celebrated vehicle routing problem with time windows. A multi-objective, evolutionary metaheuristic for solving the vehicle routing problem with time windows is used to solve the model. The workability of this modelling approach is illustrated by solving the model in the context of a simulated, surface-based air defence scenario.
Drift parameter estimation in stochastic differential equation with multiplicative stochastic volatility

We consider a stochastic differential equation of the form \[ dX_t = \theta a(t,X_t)\,dt + \sigma_1(t,X_t) \sigma_2(t,Y_t)\,dW_t \] with multiplicative stochastic volatility, where $Y$ is some adapted stochastic process. We prove existence--uniqueness results for weak and strong solutions of this equation under various conditions on the process $Y$ and the coefficients $a$, $\sigma_1$, and $\sigma_2$. Also, we study the strong consistency of the maximum likelihood estimator for the unknown parameter $\theta$. We suppose that $Y$ is in turn a solution of some diffusion SDE. Several examples of the main equation and of the process $Y$ are provided supplying the strong consistency.
The order-disorder transition in model lipid bilayers is a first-order hexatic to liquid phase transition

Author(s): Katira, Shachi; Mandadapu, Kranthi K; Vaikuntanathan, Suriyanarayanan; Smit, Berend; Chandler, David | Abstract: We characterize the order-disorder transition in a model lipid bilayer using molecular dynamics simulations. We find that the ordered phase is hexatic. In particular, in-plane structures possess a finite concentration of 5-7 disclination pairs that diffuse throughout the plane of the bilayer, and further, in-plane structures exhibit long-range orientational order and short-range translational order. In contrast, the disordered phase is liquid. The transition between the two phases is first order. Specifically, it exhibits hysteresis, and coexistence exhibits an interface with capillary scaling. The location of the interface and its spatial fluctuations are analyzed with a spatial field constructed from a rotational-invariant for local 6-fold orientational order. As a result of finite interfacial tension, there necessarily exist associated forces of assembly between membrane-bound solutes that pre-melt the ordered phase.
A Review on Millimeter Wave Communication and Effects on 5G Systems

: This paper presents the literature study of the research work on the use of millimeter wave for 5G system. The world wide data transmission deficiency confronting remote transporters has inspired the investigation of millimeter wave frequency range for future broadband cell communication systems. Millimeter waves which involve the frequencies from around 30GHz to 300GHz are among the most genuine contender for 5G technology. That offer an immense measure of unutilized or underutilized range. By expanding RF channel transmission capacity for portable radio channel, the information limit is incredibly expanded, supporting much better web get to and applications that requires negligible inactivity(minimum latency time).