Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Personality Traits and Acculturation on the Mental Health of Korean American Adolescents

Adaptation to a new culture can be highly stressful, especially during challenging developmental stages such as adolescence. The ways in which adolescents adapt to a culture and their resulting well-being may be influenced substantially by their personality traits as well as the degree to which they are aligned with the values of the new culture. Korean Americans are one of the fastest growing immigrant groups in the US, including a burgeoning population of Korean youth. The purpose of this study was to determine whether specific personality traits of Korean American adolescents or their degree of acculturation would be associated with their mental health problems, and whether specific personality traits would moderate the association between acculturation and mental health problems. 138 Korean American adolescents completed a demographic questionnaire, the revised Stephenson Multigroup Acculturation Scale, the NEO Five-Factor Inventory-3, and Achenbach & Rescorla’s Youth Self Report. Hierarchical regression analyses indicated that acculturation played a minimal role in predicting mental health problems, while personality traits were strong predictors. Being more reactive to stress and less emotionally stable (greater “neuroticism”) and being less altruistic and cooperative (less “agreeableness”) predicted more mental health problems for Korean American adolescents. In addition, the trait of “openness to experience” played a moderating role. For youth who were more open to experience (curious and independent in their judgments), greater alignment with values of the American culture was a protective factor for their mental health. Findings indicate the need for further research to identify types of mental health problems that may be most affected by specific personality traits and the underlying mechanisms responsible for their effects. It will also be important to examine whether personality traits identified in this research influence mental health similarly across cultures and age groups or whether they are unique to Korean American youth.
International Joint Ventures

Although international business appears to be georgraphically boundless, it is limited by the effectiveness of its strategies for managing subsidiaries overseas. The development of a conceptual scheme based on managing international joint ventures (IJVs) is far behind the increase in popularity of these types of strategic alliances. This article offers an integrative framework based on the development of a new paradigm for strategic human resource management in IJVs. The external and internal consistency of key strategic planning methods is examined in both environmental and organizational contexts and related to concepts of fit and flexibility in the IJV domain. Research propositions and implications for future study are developed to guide the further refinement of theory and research on international joint ventures.
Restraint Stress Inhibits Mouse Implantation: Temporal Window and the Involvement of HB-EGF, Estrogen and Progesterone

It is known that psychological stress affects reproduction in women, but it is unknown whether the effect is by impairing implantation. Although studies suggest that long periods of auditory or restraint stress may inhibit implantation in rats and mice, the exact stage of pregnancy at which stress impairs implantation is unclear. Furthermore, whether stress impairs implantation by decreasing the heparin-binding epidermal growth factor-like growth factor (HB-EGF), estrogen and/or progesterone and whether by acting on embryos or on the uterus need further investigations. In this study, a 24-h restraint stress was initiated at 15:30 of day 3 (regimen 1) or at 07:30 (regimen 2) or 15:30 of day 4 (regimen 3) of pregnancy (vaginal plug = day 1) to observe effects of restraint stress applied at different peri-implantation stages on implantation. Among the three regimens, whereas regimens 1 and 3 affected neither term pregnancy nor litter size, regimen 2 reduced both. Further observations indicated that regimen 2 of restraint stress also delayed blastocyst hatching and the attachment reaction, decreased serum concentrations of progesterone and estradiol, and down regulated the expression of HB-EGF in both the endometrium and blastocysts. Taken together, the results suggested that restraint stress inhibited mouse implantation in a temporal window-dependent manner and by impairing blastocyst activation and hatching and uterine receptivity via down-regulating HB-EGF, estrogen and progesterone. Thus, the stress applied within the implantation window impaired implantation by acting on both embryos and the uterus.
Packet-oriented communication protocols for Smart Grid Services over low-speed PLC

Advanced Metering Infrastructures require reliable communication links. This paper proposes a protocol stack for smart metering based on the parameters of a robust low-speed PLC physical layer. The protocol stack under consideration implements IPv6 on top of a contention-free media access control sub-layer, thereby allowing for maximum flexibility. Simulation results show that this protocol stack allows data transfers at acceptable latencies, despite low data rates at the physical layer.
Study abroad program destination preferences of hospitality students: an analysis using typologies.

This paper intends to examine the hospitality student choice of study abroad programs as a part of their curriculum. Tourist typology as the conceptual framework guided this research. Students (N= 40) were recruited by means of random sampling from a private university in the northeast. The data were collected via surveys and were analyzed quantitatively using descriptive statistics. Results reflected students’ preference for study abroad program destinations that promoted social involvement with the local people, were already established tourist regions, and had a different culture. This study is significant in facilitating understanding of international study abroad student preferences. It also has the potential to assist faculty to design and develop increasingly effective study abroad programs with respect to student engagement.
Multilingual Subjectivity Detection Using Deep Multiple Kernel Learning

Subjectivity detection can prevent a sentiment classifier from considering irrelevant or potentially misleading text. Since, different attributes may correspond to different opinions in the lexicon of different languages, we resort to multiple kernel learning (MKL) to simultaneously optimize the different modalities. Previous approaches to MKL for sentence classifiers are computationally slow and lack any hierarchy when grouping features into different kernels. In this paper, we consider deep recurrent convolution neural networks to reduce the dimensionality of the problem. Further, the lower layers in a deep model are abstract and the higher layers become more detailed connecting attributes to opinions. Hence, the features learned automatically in the multiple intermediate layers can be used to train MKL classifiers depending on the application. The proposed deep recurrent MKL outperforms the accuracy of baselines by over 5-30% and is several times faster on two benchmark datasets for subjectivity detection. It can also be used to develop subjectivity lexicons in other languages using English.
Free Trade Agreements in the Asia Pacific

Free Trade Agreements (FTAs) have proliferated in East Asia as regional economies rush to catch up with the rest of the world – but what difference do they make? This book answers that question by providing an up-to-date assessment of the quality and impact of FTAs in the region. Featuring a collection of papers originally written for the prestigious Research Institute for Economy, Trade and Industry (RIETI) in Tokyo, it presents contemporary analysis and insights into the evolution of recent FTAs. The book is suitable for use by trade policy negotiators, policy analysts, and people developing business strategies in organizations, as well as graduate students and researchers in the field.
Topic Detection in Chinese Microblogs Using Hot Term Discovery and Adaptive Spectral Clustering

Weibo is a popular Chinese microblogging service that counts with millions of users and allows them to share short text messages. As an information network, Weibo can tell people what they care about as it is happening in the society. Unfortunately, users are constantly struggling to keep up with the larger and larger amounts of messages published every day. In order to help users to get the big picture, an efficient and effective topic detection method is urgent in demand. Considering the sheer scale and rapid evolution of the microblog messages, we investigate a novel method for topic detection in Chinese Microblogs in a given time period. It is composed of two major steps. First, hot terms are extracted by a suffix array structure and a TF*SDF term weighting scheme. Second, based on the extracted hot terms, we calculate their co-occurrence information and then group the terms into clusters that represent topics using an adaptive spectral clustering. Extensive experimental results on real world data demonstrate that the proposed method is more effective and efficient for topic detection in Chinese microblogs than existing approaches.
A Load-Forwarding Mechanism for the Vector Architecture in Multimedia Applications

Nowadays, multimedia applications (MMAs) form an important workload for general purpose processors. Although the vector architecture is considered the most potential candidate for media processing, the traditional vector architecture has inefficiencies to execute MMAs. This paper proposes a media-oriented vector architecture, which improves the traditional one with a load-forwarding mechanism. The load-forwarding mechanism overcomes the inefficiency on utilization of the memory bandwidth. As a result, the proposed architecture achieves a higher performance with lower hardware cost than the traditional one. This paper evaluates the proposed architecture with architectural design parameters and finds out the most efficient size for the vector architecture when performing MMAs.
Brain Tissue Oxygenation in Traumatic Brain Injury : Experimental and Clinical Studies

Introduction: Neurointensive care of traumatic brain injury (TBI) patients is currently based on intracranial pressure (ICP) and cerebral perfusion pressure (CPP) targeted protocols. There are reasons to believe that knowledge of brain tissue oxygenation (BtipO2) would add information with the potential of improving patient outcome. The aim of this study was to examine BtipO2 and cerebral metabolism using the Neurovent-PTO probe and cerebral microdialysis (MD) in TBI patients.Methods: Twenty-three severe TBI patients with monitoring of physiological parameters, ICP, CPP, BtipO2, and MD for biomarkers of energy metabolism (glucose, lactate, and pyruvate) and cellular distress (glutamate, glycerol) were included. Patients were grouped according to injury type (focal/diffuse) and placement of the Neurovent-PTO probe and MD catheter (injured/non-injured hemisphere). Results: We observed different patterns in BtipO2 and MD biomarkers in diffuse and focal injury where placement of the probe also influenced the results (ipsilateral/contralateral). In all groups, despite fairly normal levels of ICP and CPP, increased MD levels of glutamate, glycerol, or the L/P ratio were observed at BtipO2 <5 mmHg, indicating increased vulnerability of the brain at this level.Conclusion: Monitoring of BtipO2 adds important information in addition to traditional ICP and CPP surveillance. Because of the different metabolic responses to very low BtipO2 in the individual patient groups we submit that brain tissue oximetry is a complementary tool rather than an alternative to MD monitoring.
Exploring students' museum experiences in the context of web-based learning environments

The paper examines the nature of school excursions to museums, and how the Internet, and in particular the web pages accompanying museum exhibitions, can be utilised to create authentic and complex learning environments for school students. The paper describes proposed research between a university and two leading museums that will investigate whether and how learners link web-based content and data in developing a broader perspective on the museum experience. It will explore in depth the use of the web to situate the onsite museum visit, not as a single one-off event, but within a complex task or problem-based learning approach that extends beyond the museum visit itself.
Demand-based block-level address mapping in large-scale NAND flash storage systems

The increasing capacity of NAND flash memory leads to large RAM footprint on address mapping in the Flash Translation Layer (FTL) design. This paper proposes a novel Demand-based block-level Address mapping scheme with two-level Caching mechanism (DAC) for large-scale NAND flash storage systems. The objective is to reduce RAM footprint without sacrificing too much system response time. In our technique, the block-level address mapping table is stored in fixed pages (called translation pages) in the flash memory. Considering temporal locality that workloads exhibit, we maintain one cache in RAM to store the on-demand block-level address mapping information. Meanwhile, by exploring both spatial locality and access frequency of workloads with another two caches, the second-level cache is designed to cache selected translation pages into RAM. In such a way, address mapping information for both sequential accesses and most-frequently-accessed translation pages can be found in the cache, and therefore, the system response time can be improved. We conduct experiments on a mixture of real-world and synthetic traces. The experimental results show that our technique can significantly reduce the RAM footprint while the average response time is kept well under control. Moreover, our technique shows big improvement on wear-leveling compared with the previous work.
Organic Light Emitting Diodes operation and application in displays

Purpose: The aim of this work is to perform the review of the recent most important results of experimental and theoretical investigations connected with the organic light emitting devices (OLEDs). Design/methodology/approach: The recent achievements in the field of designing, fabricating and clarification of the OLEDs operation have been presented. The possibilities of numerous, present and future applications of these devices have been pointed out. Findings: We show that fundamental differences among organic and inorganic devices result from differences between inorganic and molecular semiconductor materials. No charges are present in OLED devices without charge injection. Emission is due to radiative transitions from the neutral excited states to the ground states. We pointed out the important role that the OLEDs play in display design (even the flexible ones). Research limitations/implications: The main disadvantage of OLEDs is reported to be short their lives (particularly the blue OLED) and weak resistivity to moist but improvements are advancing. Originality/value: Our review concerns the most recent experimental and theoretical publications in the OLED investigation. We also show some recent examples of OLEDs application.
Iraqi engineering: Where has all the research gone?

To what extent have Iraqi engineering research emphases changed over the past 15 years or so? Exploration of Iraqi publication patterns shows a dramatic rise in activity through 1990, followed by a precipitous decline through early 2003. Iraqi engineering research emphases include chemistry and chemical engineering, information technology, applied math and simulation, applied physics, and circuits and controls. Modeling and simulation, and attention to thin semi-conductor films, show relatively increased recent emphasis. We also observe interesting institutional patterns. Government-run universities, plus the Science Research Council, dominate engineering research publication. The net effect of this study is to raise questions about the current status of Iraqi engineering R&D. Knowledge of changes in engineering publication patterns can inform deliberations about Iraqi capabilities and emphases, but drawing policy implications requires expert review. Copyright , Beech Tree Publishing.
Generalized partial indexes

This paper demonstrates the use of generalized partial indexes for efficient query processing. We propose that partial indexes be built on those portions of the database that are statistically likely to be the most useful for query processing. We identify three classes of statistical information, and two levels at which it may be available. We describe indexing strategies that use this information to significantly improve average query performance. Results from simulation experiments demonstrate that the proposed generalized partial indexing strategies perform well compared to the traditional approach to indexing. <<ETX>>
An Efficient Self-Healing Group Key Management with Lower Storage for Wireless Sensor Network

For the problems of energy constrained and the channel insecurity in group communication of WSN, we propose a self-healing group key management protocol based on polynomial and some algorithm. This protocol can recover the lost group key without transmitting message once more. The method can improve the security of the channel, while consuming less energy. The performance analysis of this protocol shows that we can achieve forward secrecy and backward secrecy and communication security with lower energy consumption, which can expand the range of applications of wireless sensor networks while improving life.
Code specialization for red-black tree management algorithms

A lot of work is spent on low-level optimization for regular computations; from instruction scheduling and cache-aware design to intensive use of SIMD instructions. Meanwhile, irregular applications, especially pointer intensive ones, are often only optimized at algorithm or compilation levels, since not so much hardware or dedicated instructions are available for this kind of code. In this paper, we investigate a low-level optimization of associative arrays intensively used in complex applications such as dynamic compilers, using self-modifying code. We propose to encode Red-Black trees, widely used to implement asssociative arrays, as specialized binary code rather than data, in order to accelerate the tree traversal by taking advantage of the underlying hardware: program cache, processor fetch and decode. We show a 45% gain on an ARM Cortex-A9 processor and that we transfer most of the data-cache pressure to the program-cache, motivating future work on dedicated hardware.
Numerical Analysis of the Internal Kinematics And Dynamics of 3-D Breaking Waves On Slopes

In this paper we describe the development and validation of a numerical model based on coupling a higher-order Boundary Element Method (BEM) solution of fully nonlinear potential flow equations to a Volume Of Fluid (VOF) solution of Euler equations, in 3 dimensions (3-D). The BEM solution is used as an initialization of the VOF/Navier-Stokes solver. Numerical simulations of breaking waves on sloping beaches for 2-D (using an earlier similar model) and 3-D flows are carried out. Finally, we simulate the breaking and post-breaking of a solitary wave over a sloping ridge in a 3-D numerical wave tank. We present an analysis of wave profiles and internal kinematics (velocity, vorticity, pressure).
Comparative Analysis of Recommender System Algorithms Using API Dataset

Recommender systems are important for e-commerce ecosystem. A lot of applications use recommendation systems to recommend their products to users. Any application which has the information about the interaction between the user and their items, user likings, user ratings, user browsing history, text descriptions of items, can use these recommender systems to help its users to find their interested products. Some of the well-known applications are Amazon, Ebay, Netflix, Youtube, Spotify, etc., In this project, we will be using the concept of recommendation systems to recommend APIs to users. Also, we will compare the performance of different recommender algorithms and determine which algorithm works better with our dataset.
Using Local Data in Detecting Irrelevant Updates and Self-maintainability

The topics of data warehousing and materialized views have attracted in recent years considerable attention, both from industrial and research perspectives, because of their importance in providing support for sophisticated decision support analysis. In a data warehouse, the contents can be viewed as a set of views materialized from sources which are typically remote and heterogeneous. In order to keep the contents of a data warehouse consistent, the materialized views in it have to be updated in response to updates in the source data (this process is referred to as view maintenance). Because the source data for materialized views are often remote and diicult to access, the concepts of irrelevant updates and self-maintainability have been identiied as key concepts in view maintenance. An irrelevant update is one which leaves the materialized view unchanged, and a self-maintainable view is one which can be maintained without accessing the source data after an update to the source data. These concepts are related in that if an update is irrelevant than the view is self-maintainable, but the converse is not true. In this paper we investigate the problem of how to develop tests for detecting irrelevant updates and self-maintainability for an important class of views, those deened by conjunctive queries, when some of the source data is available. To be more precise, we consider the situation, which has not previously been investigated, where the available information to detect irrelevant updates and self-maintainability is the view deenition (expressed as a conjunctive query), the update and the source relation being updated. The contribution of this paper is to develop tests for detecting irrelevant updates and self-maintainability for each type of update (insertion, deletion) and prove that the tests developed are both necessary and suucient to ensure that the update is irrelevant or the view is self-maintainable. These tests take the form of rst-order queries, easily expressible in a language such as SQL, that can generated at view deenition time and then executed on the relation being updated when the update occurs.