Miracle-dz/UniFAR-FTUs huggingface dataset:
The Open Journal of Occupational Therapy The Open Journal of Occupational Therapy Generation Y Health Professional Students’ Preferred Teaching Generation Y Health Professional Students’ Preferred Teaching and Learning Approaches: A Systematic Review and Learning Approaches: A Systematic Review

Abstract Generation Y or Millennials are descriptors for those born between 1982 and 2000. This cohort has grown up in the digital age and is purported to have different learning preferences from previous generations. Students are important stakeholders in identifying their preferred teaching and learning approaches in health professional programs. This study aimed to identify, appraise, and synthesize the best available evidence regarding the teaching and learning preferences of Generation Y health professional students. The review considered any objectively measured or self-reported outcomes of teaching and learning reported from Generation Y health professional student perspectives. In accordance with a previously published Joanna Briggs Institute Protocol, a three-step search strategy was completed. Two research articles (nursing and dental hygiene students) and three dissertations (nursing) were critically appraised. All studies were cross-sectional descriptive studies. A range of pedagogical approaches was reported, including lecture, group work, and teaching clinical skills. Based on the Joanna Briggs Institute levels of evidence, reviewers deemed the evidence as Level 3. Some generational differences were reported, but these were inconsistent across the studies reviewed. There is, therefore, insufficient evidence to provide specific recommendations for the preferred educational approaches of health professional students and further research is warranted.
VERMUNT’UN ÖĞRENME STİLLERİ ÖLÇEĞİNİN TÜRKÇE FORMUNUN GEÇERLİK VE GÜVENİRLİK ÇALIŞMASI

Vermunt’un Ogrenme Stili Modeli bilissel surec stratejileri, duzenlemestratejileri, ogrencinin ogrenme deneyimleri ve ogrenme yonelimleri gibi cokyonlu butunlesmis bir yapidan olusmaktadir. Vermont’un Ogrenme Stilleri Olcegi, universite ogrencilerin bilissel, duzenleme, bilisustu ve motivasyonel birlesenleri icermektedir. Olcegin bu kapsami, diger olceklerden ayirmaktadir. 100soruluk testte yapilan dogrulayici faktor analizi (CFA) sonuclarina gore, dortfarkli ogrenme Stili gorulmektedir. Bunlar bilissel surec stratejileri, duzenlemestratejileri, ogrenmedeki zihinsel model ve ogrenme yonelimleri boyutlaridir.Olcegin dil tutarliligina bakilmistir. Olcegin ceviri sonrasi Turkce formu 301lisans ogrencisine uygulanmistir. Uygulama sonuclarina acimlayici, dogrulayici ve ikinci duzey dogrulayici faktor analizleri uygulanmistir. Ogrenme StilleriOlceginin uyarlama calismasinin orijinal olcekteki modellemeye uyum gostermektedir
Multi-Person Pose Estimation for PoseTrack with Enhanced Part Affinity Fields

This paper is a description for method we adopted in the competition of “PoseTrack, ICCV 2017 workshop” [1]. We presents an improved approach based on Part Affinity Fields (PAFs) [2]. To achieve a better performance on PoseTrack benchmark, several modifications are proposed, including pre-training model on COCO [3], rethinking the network structure and redundant PAFs. As a result, the framework obtains a significant improvement comparing to baseline methods. Moreover, inspired by semantic segmentation, we conduct some experiments using the hole algorithm and DenseNet, which achieves a desirable performance. Our submission achieves 72.5% mAP on PoseTrack validation dataset and 68.3% on Posetrack benchmark.
Optimal treatment for depressed adult patients in primary care

Objective: To determine the optimal treatment for depressed adult patients treated by primary care physicians. Method: A literature review of pharmacological and non- pharmacological treatment methods was performed with the help of the Medical University of Ohio’s library databases including MEDLINE, PubMed, CINAHL, and PsychINFO. Results/Conclusion: Pharmacotherapy and minimal contact psychotherapy through self-help manuals and telephone calls have been shown to be therapeutic in patients with Major Depressive Disorder and Dysthmia. Monotherapy and combination pharmacotherapy with psychotherapy are more successful at attaining remission than psychotherapy alone for patients with dysthymia. In patients with chronic depression, combination therapy is superior to pharmacotherapy or psychotherapy in patients without history of childhood trauma. Combination pharmacotherapy and psychotherapy also has higher depression remission rates than psychotherapy alone. Finally, this review shows that quality intervention programs in primary care have additive therapeutic and improved outcome effects in adult patients with depression.
Background whitened target detection algorithm for hyperspectral imagery

Hyperspectral remotely sensed imagery is rapidly developed recently. It collects radiance from the ground with hundreds of channels which results in hundreds of co-registered images. How to process this huge amount of data is a great challenge, especially when no information of the image scene is available. Under this circumstance, anomaly detection becomes more difficult. Several methods are devoted to this problem, such as the well-known RX algorithm and high-moment statistics approaches. The RX algorithm can detect all anomalies in single image but it can not discriminate them. On the other hand, the high-moment statistics approaches use criterion such as skewness and kurtosis to find the projection directions to detect anomalies. In this paper we propose an effective algorithm for anomaly detection and discrimination extended from RX algorithm, called Background Whitened Target Detection Algorithm. It first modeled the background signature with Gaussian distribution and applied the whitening process. After the process, the background will distribute as i.i. d. Gaussian in all spectral bands. Those pixels did not fit in the distribution will be the anomalies. Then Automatic Target Detection and Classification Algorithm (ATDCA) is applied to search for those distinct spectrum automatically and classify them as anomalies. Since ATDCA can also estimated the abundance fraction of each target resident in one pixel by applying Sum-to-one and Nonnegativity constraints, the proposed method can also be applied in a constrained fashion. The experimental results show that the proposed method can improve RX algorithm by discriminate the anomalies and also outperform high-moment approaches in terms of computational complexity.
Effect of Sodium Butyrate in Combating the Negative Effects of SubAcute Ruminal Acidosis Induced Lipopolysaccharides in the Uteri of Lactating Goats

Received: Revised: Accepted: Published online: October 01, 2016 January 03, 2017 January 08, 2017 January 16, 2017 Sub-acute ruminal acidosis (SARA) is known to enhance the systemic inflammatory response that most likely occurs due to the translocation of lipopolysaccharide (LPS) from the digestive tract into the blood stream. The objective of the present study was to explore whether sodium butyrate could minimize the negative effects of high-grain diet-induced inflammation in the goat uterus and to explore the differences between high-concentrate diet alone and high-concentrate diet supplemented with sodium butyrate. Eighteen mid-lactating goats surgically installed with a rumen fistula were divided into two groups: a group receiving a high-concentrate diet (HC) (60% concentrate + 40% forage) as a control and a group receiving a high-concentrate diet with sodium butyrate (HC+Na B) (60% concentrate+40% forage+sodium butyrate) as the treatment group. The LPS concentrations in the rumen fluid were 234653 EU/ml and 431564 EU/ml in the HC+Na B and HC groups, respectively, whereas in peripheral blood, LPS concentrations were 0.013 EU/ml and 0.039 EU/ml in the HC+Na B and HC groups, respectively, indicating a significant decrease in LPS in the HC+Na B group. The concentrations of the pro-inflammatory cytokines IL-1β and IL-6 were significantly lower, with concomitant down-regulation of the expression of the inflammatory genes TLR4, MyD-88, NF-κB, TRAF-6, IL-6 and IL-1β in the uteri of HC +Na B group. Therefore, supplementing sodium butyrate with a high-concentrate diet reduced the degree of uterine inflammation and played a vital role in combating the inflammatory effects of LPS migration from the digestive tract. ©2017 PVJ. All rights reserved
Examining the role of product involvement in consumption elicited emotions

Involvement has a major impact on consumer behavior. This study addresses the following questions: “Does product involvement influence how emotions drive satisfaction with products? ”, and “does product involvement play a moderating role in the relationship emotions-satisfaction? ”. Based on the Theory of the Hedonic Asymmetry we test through Structural Equation Modeling (SEM) how emotions drive consumer satisfaction. A sample of 570 respondents was gathered for a high involvement product –wine-, while a sample of 431 consumers was collected for a low involvement product –a cup of coffee-. Findings show that positive emotions exert a higher influence on satisfaction in low involvement products, compared to high involvement products, suggesting that situational factors, such as the occasion of consumption, could be acting as qualifiers of positive emotions. Additionally, we provide empirical support for the moderating role of product involvement as influencing the relationship between consumption elicited emotions and consumer satisfaction.
Mask-free construction of three-dimensional silicon structures by dry etching assisted gray-scale femtosecond laser direct writing

A mask-free micro/nano fabrication method is proposed for constructing arbitrary gradient height structures on silicon, combining gray-scale femtosecond laser direct writing (GS-FsLDW) with subsequent dry etching. Arbitrary two-dimensional patterns with a gradient concentration of oxygen atoms can be fabricated on the surface of undoped silicon wafer by FsLDW in air. After dry etching, various three-dimensional (3D) gradient height silicon structures are fabricated by controlling the laser power, scanning step, etching time, and etching power. As an example, a well-defined 3D Fresnel zone plate was fabricated on silicon wafer, which shows excellent focusing and imaging properties. The combination of high precision from dry etching and 3D fabrication ability on non-planar substrates of FsLDW, may broaden its applications in microelectronics, micro-optics, and microelectromechanical systems.
Analytical Methods for Iron and Manganese Determinations in Reservoir Tailgaters : Laboratoy Investigations

Water quality processes in reservoirs affect the quality of release waters and water quality processes in the tailwater region. Major impacts are often associated with the release of hypohrnnetic water, which is often low in dissolved oxygen concentrations and high in concentrations of nutrients and reduced forms of metals. Many of these processes have been described in recent studies of selected reservoir tailwaters (Nix and others 1991). Based on these studies, the Tailwater Quality Model (T’WQM) was developed (Dortch, Tilhnan, and Bunch 1992). This one-dimensional steady-state model, which describes the fate of selected water quality constituents in reservoir tailwaters, offers the opportunity for improved water quality management and decision-making. However, additional process description information is needed for evaluating reservoir tailwaters and improving model applications.
A RE-LOOK AT MOBILE PHONES USAGE ISSUES

Mobile phones have become very prominent nowadays and an appreciable world population uses these devices on a daily basis. These mobile phones emit electromagnetic radiation in the radiofrequency range of the electromagnetic spectrum which is around 3 kHz to 300 GHz. This type of radiation is called non-ionizing and concerns have been raised in the past concerning its effects on humans. Many researches have been carried out with the aim to determine whether the mobile phones are safe to use or not. This paper reviewed the work of some of these researchers. Focus was put on the methods used by the researchers, sources of their funding, electromagnetic radiation sources used and the number of experiment participants. Results were also compared taking into account the different methodologies used. Much attention was directed to the researches concerning mobile phone radiation on the human head because it is always in close proximity with the phone during phone calls. Quality and accuracy of human head modeling was also reviewed. The human heart, sperm motility and human fetus were also considered. From the results, mobile phone users are recommended to reserve long phone calls for landlines, use hands-free devices e.g. earphones to reduce the proximity between the phone and the head. Switching from GSM to CDMA can also be considered and using a mobile phone only when the network signals are strong is also recommended. The user may also carry the mobile phone somewhere else away from the breast pocket, trouser pocket and pregnant women are encouraged to exercise caution. However, more research needs to be carried out in-order to obtain accurate and clearer results on this issue because past researches produced very inconsistent results.
A Protocol Framework for Adaptive Real-Time Communication in Industrial Wireless Sensor and Actuator Networks

Low-power and resource-constrained wireless technology has been regarded as an emerging technology that introduces a paradigm shift in a wide range of applications such as industrial automation, smart grid, home automation and so on. The automation industry has significant contributions to economic revenues, job opportunities and world-class research. The low-power and resource-constrained wireless technology has brought new opportunity and challenges for industrial automation. The solutions of such wireless technology offer benefits in relation to lower cost and more flexible deployments/maintenances than the wired solutions, and new applications that are not possible with wired communication. However, these wireless solutions have been introducing new challenges. Wireless links are inherently unreliable, especially in industrial harsh environment, and wireless interference makes the problem even worse. Low-power consumption is required and real-time communication is generally crucial in industrial automation applications. This research work addresses that industrial wireless sensor and actuator network (IWSAN) should even be designed to provide service differentiation for wireless medium access and adapt to link dynamics for scheduling algorithms on top of real-time services. Specifically, exceeding the required delay bound for unpredictable and emergency traffic in industrial automation applications could lead to system instability, economic and material losses, system failure and, ultimately, a threat to human safety. Therefore, guaranteeing the timely delivery of the IWSAN critical traffic and its prioritization over regular traffic (e.g. non-critical monitoring traffic) is a significant topic. In addition, the state-of-the-art researches address a multitude of objectives for scheduling algorithms in IWSAN. However, the adaptation to the dynamics of a realistic wireless sensor network has not been investigated in a satisfactory manner. This is a key issue considering the challenges within industrial applications, given the time-constraints and harsh environments. In response to those challenges, a protocol framework for adaptive real-time communication in IWSAN is proposed. It mainly consists of a priority-based medium access protocol (MAC) and its extension for routing critical traffic, a hybrid scheme for acyclic traffic, and adaptive scheduling algorithms. To the best of our knowledge, the priority-based MAC solution is the first priority-enhanced MAC protocol compatible with industrial standards for IWSAN. The proposed solutions have been implemented in TinyOS and evaluated on a test-bed of Telosb motes and the TOSSIM network simulator. The experimental results indicate that the proposed priority-
Magnitude of Interaction between Language of Instruction of Prior Education and Learning Traits on Academic Achievement Scores of International Students

This paper investigates the magnitude of difference of academic achievement scores by language of instruction of prior education and the magnitude of interaction between language of instruction of prior education and students’ preferred learning trait on academic performance of a group of international students in two teaching and learning practices. The magnitude of difference and magnitude of interaction were determined by using Cohen’s d with Hedges g correction. Coe’s spread sheet was used for the analysis. The study showed that the magnitude of difference of academic achievement score was found to be very small on Traditional method of Teaching and Learning (TTL) and small on Problem-Based method of Learning (PBL). However, the magnitude of interaction between language of instruction of prior education and learning traits varied from very small to large. It is a challenging task to accommodate international students from different language background and optimize the whole learning process in an English speaking teaching and learning environment.
MAP recovery of polynomial splines from compressive samples and its application to vehicular signals

We propose a stable reconstruction method for polynomial splines from compressive samples based on the maximum a posteriori (MAP) estimation. The polynomial splines are one of the most powerful tools for modeling signals in real applications. Since such signals are not band-limited, the classical sampling theorem cannot be applied to them. However, splines can be regarded as signals with finite rate of innovation and therefore be perfectly reconstructed from noiseless samples acquired at, approximately, the rate of innovation. In noisy case, the conventional approach exploits Cadzow denoising. Our approach based on the MAP estimation reconstructs the signals more stably than not only the conventional approach but also a maximum likelihood estimation. We show the effectiveness of the proposed method by applying it to compressive sampling of vehicular signals.
Prequantum Classical Statistical Field Theory: Simulation of Probabilities of Photon Detection with the Aid of Classical Brownian Motion

In this paper we present results of numerical simulation based on Prequantum Classical Statistical Field Theory (PCSFT), a model with hidden variables of the field-type reproducing probabilistic predictions of quantum mechanics (QM). PCSFT is combined with measurement theory based on detectors of the threshold type. The latter describes discrete events corresponding to the continuous fields model, PCSFT. Numerical modeling demonstrated that the classical Brownian motion (the Wiener process valued in complex Hilbert space) producing clicks when approaching the detection threshold gives probabilities of detection predcited by the formalism QM (as well as PCSFT). This numerical result is important, since the transition from PCSFT to the threshold detection has a complex mathematical structure (in the framework of classical random processes) and it was modeled only approximately. We also perform numerical simulation for the PCSFT-value of the coefficient of second order coherence. Our result matches well with the prediction of quantum theory. Thus, opposite to semiclassical theory, PCSFT cannot be rejected as a consequence of measurements of $g^{(2)}(0). $ Finally, we analyze the output of the recent experiment performed in NIST questioning the validity of some predictions of PCSFT.
Empowering leadership and work engagement : the roles of self-efficacy and identification with leader

This research investigated the link between empowering leadership and work engagement using data from Turkey. Consistent with social exchange, social learning, and social identity theories, self-efficacy and identification with leader as mediators of the empowering leadership to work engagement relationship was examined. Results from 60 supervisors and 496 immediate direct reports revealed that empowering leadership was positively and significantly related to follower work engagement as rated by their immediate supervisors and that this relationship was fully mediated by self-efficacy and identification with leader. The implications of the findings for theory and practice are discussed.
The Influence of Social TV Strategies and Contents on TV Online Engagement

—The phenomenon of social TV is gaining importance in both industry and research. TV broadcasters are increasingly adopting social TV strategies both on first and second screen to increase the viewers’ online engagement. The research done so far suggests quite simple models of the phenomenon, identifying and studying separately the effects of different variables on online engagement. This research represents one of the first attempts to develop a better research model. We analyzed a large dataset related to a popular Italian TV show using social strategies to engage viewers on Twitter. Through hierarchical linear regression models we studied the relationships among social strategies, TV contents, viewership, time and different kinds of viewers’ online behavior. We demonstrate that (i) different factors play different roles in affecting the viewers’ online engagement and (ii) the phenomenon can be better explained if we look at different kinds of online behavior that represent online engagement, such as posting original comments, sharing or replying to them. Despite some limitations, we think that this work’s findings may be important for researchers to develop a holistic research model of social TV, and for practitioners to realize how to balance the factors affecting the viewers’ online engagement in an effective way.
The Relationship between Private Domain and Commercial Domain of Hospitality in Airlines: Employing Partial Least Square Technique

The purpose of the present study is to understand the relationship between passengers’ level of hospitality performance in private setting and their expectation of hospitality provision in airlines as commercial setting. The present study sample consists of 546 passengers. The Partial Least Square Technique (PLS) was applied as the research method. Finding indicates that there is positive relationship between commercial hospitality dimensions and private domain of hospitality in an airline context. Present study can be considered as the pioneer on confirming private and commercial hospitality relationship in an airline context. Understanding relationship among commercial and private domain of hospitality will help airline managers to apply better strategies for attracting more passengers.
Hydraulic Displacement Amplification System for Energy Dissipation

An energy dissipation system with displacement amplification is presented. Displacement amplification is achieved through a hydraulic system. Energy is dissipated by combining the characteristics of hydraulic cylinders and viscous fluid dampers. A 1/3 scale prototype was constructed, and performance of the hydraulic displacement amplification system was tested experimentally. The hydraulic system has provided significant contribution to the energy dissipation and has improved the performance of viscous fluid dampers. However, the displacement amplification achieved by the system is far from satisfactory. Further studies are in progress to improve the efficiency of the amplification system. An application of the displacement amplification system was demonstrated numerically by carrying out nonlinear time-history analysis on a reinforced concrete frame.