Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Flight Endurance Of A UAV By Employing Porous Wing Tip

Development of unmanned air vehicles (UAV) is one of the important focus areas of aerospace industry. UAVs are used in both civil and military applications. One of the typical duties of UAVs is long hours of surveillance or reconnaissance over a target area. By insertion of new technologies and advances, it is possible to increase the flight endurance of UAV during surveillance or loitering in flight. In this study, improvement of flight endurance or loiter time of a UAV has been calculated and shown by employing porous wing tip which increases lift to drag ratio of the wing.
Cognitive functioning and myofascial pain in temporomandibular disorders

Introduction: Physical examination of patients suffering from temporomandibular disorders is increasingly accompanied by monitoring their psychological functioning. It includes basic diagnostics of the emotional and motivational sphere as well as, although rarely, the social sphere. Analysis of the pain profile changing under the influence of the therapeutic process and including the psychoneurophysiological aspect of the phenomenon suggests the need to extend the scope of assessment. Specific aspects of cognitive functioning covered by the research are mental activities that allow to create and modify knowledge about the environment and to control one’s own reactions. Objectives: The aim of this article is to describe in detail the cognitive functioning of patients suffering from temporomandibular disorders at various stages of prosthetic treatment, with particular emphasis on the experience of chronic pain. Material and methods: The study included 45 patients, 23 were diagnosed with myofascial pain form of temporomandibular disorders and 22 diagnosed with temporomandibular disorders showing the same patho-mechanism, but not reporting pain. Scheduled analysis included a number of inter-group comparisons based on the data obtained by using selected psychological tests and neuropsychological clinical trials. Results: Statistically significant differences in cognitive functioning of patients suffering from pain due to temporomandibular disorders and those patients who did not experience pain, although were diagnosed with temporomandibular disorders, were observed. Conclusions: It is important to take into account the psychological functioning of patients in a broader sense, including the neuropsychological mechanism of temporomandibular disorders myofascial pain. cognitive functions, psychostomatology.
‘Impact of Training Methods on Employee Performance in a Direct Selling Organization, Malaysia.’

Building a skillful and knowledgeable workforce is one of the most vital activities in an organization to ensure high level of competency with proficient team in order to sustain and grow in a dynamic business environment. In this study, the researcher focused on the impact of training methods on employee performance. The objective is to examine the impact of on-the-job and off-the-job training on employee performance. The researcher adopted positivism research philosophy and collected quantitative primary data through survey questionnaire. The questionnaire was designed based upon various types of on-the-job and off-the-job training methods. Census method is adopted to collect data as the researcher distributed the questionnaire to all 162 employees in the target population providing an equal chance for all to participate in the study. 136 responses were returned however only 124 are accepted as the remaining was found to be incomplete. The collected data were analyzed using SPSS software in order to get the regression values. The result shows both on-the-job and off-the-job training achieve a standardized coefficients beta value of 0.370 and 0.546 respectively with significant value of 0.000 which concludes the outcome of the research that on-the-job and off-the-job training have a positive significant impact on employee performance.
Factors affecting biomass production and nutritive value of Calliandra calothyrsus leaf as fodder for ruminants

Calliandra calothyrsus is a tree legume native to Mexico and Central America. The species has attracted considerable attention for its capacity to produce both fuelwood and foliage for either green manure or fodder. Its high content of proanthocyanidins (condensed tannins) and associated low digestibility has, however, limited its use as a feed for ruminants, and there is also a widespread perception that wilting the leaves further reduces their nutritive value. Nevertheless, there has been increasing uptake of calliandra as fodder in certain regions, notably the Central Highlands of Kenya. The present study, conducted in Embu, Kenya, investigated effects of provenance, wilting, cutting frequency and seasonal variation both in the laboratory (in vitro digestibility, crude protein, neutral detergent fibre, extractable and bound proanthocyanidins) and in on-station animal production trials with growing lambs and lactating goats. The local Kenyan landrace of calliandra (Embu) and a closely-related Guatemalan provenance (Patulul) were found to be significantly different, and superior, to a provenance from Nicaragua (San Ramón) in most of the laboratory traits measured, as well as in animal production and feed efficiency. Cutting frequency had no important effect on quality; and although all quality traits displayed seasonal variation there was little discernible pattern to this variation. Wilting had a much less negative effect than expected, and for lambs fed calliandra as a supplement to a low quality basal feed (maize stover), wilting was actually found to give higher live-weight gain and feed efficiency. Conversely, with a high quality basal diet (Napier grass) wilting enhanced intake but not live-weight gain, so feed efficiency was greater for fresh material. The difference between fresh and wilted leaves was not great enough to justify the current widespread recommendation that calliandra should always be fed fresh.
The nature of tolerance and the social circumstances in which it emerges

Tolerance entails acceptance of the very things one disagrees with, disapproves of or dislikes. Tolerance can be seen as ‘a flawed virtue’ because it concerns acceptance of the differences between others and ourselves that we would rather fight, ignore, or overcome. However ‘flawed’ a virtue it may be, tolerance may be the only thing that stands between peaceful coexistence and violent intergroup conflict. This makes tolerance a topic of great scientific as well as practical importance. While scholars have systematically studied political (in)tolerance and the closely related subject of prejudice for over half a century now, many conceptual and empirical puzzles remain unsolved. This may well reflect the complex nature of tolerance and the dilemmas which are intrinsic to the idea of toleration. In this article an examination of the paradoxical nature of tolerance is followed by a review of the academic literature and empirical findings on (political) tolerance and its primary sources. To conclude, future challenges for tolerance research are outlined. It is argued that tolerance research would benefit from a stronger interdisciplinary approach: an intergroup relations perspective on tolerance would enhance our understanding of the nature of tolerance and the social circumstances in which it emerges.
Effect of dietary vitamin E on Eimeria tenella -induced oxidative stress in broiler chickens

An experiment was carried out to investigate the impact of high doses of dietary vitamin E on antioxidant status in broiler chickens (Ross 308) experimentally infected with Eimeria tenella . One day old chicks were assigned to five groups (25 each) and given basal diet (A and B) or basal diet supplemented with 100, 316 or 562 mg/kg of vitamin E (C to E), respectively. On the 21st day, all chicks except those in group A were inoculated with E. tenella and monitored for any change in blood vitamin E, malondialdehyde (MDA) and superoxide dismutase (SOD). Plasma vitamin E decreased by infection, but increased with dietary vitamin E (p 0.05), but it was significantly higher in group D than in groups B and E (p<0.05). In conclusion, addition of dietary vitamin E at 316 mg/kg can afford antioxidant protection to chickens infected with E. tenella , but at higher doses it may aggravate the unbalanced oxidant/antioxidant status. Key words : Eimeria tenella, oxidative stress, broiler chickens, vitamin E, malondialdehyde, superoxide dismutase.
A Wideband-to-Narrowband Rectangular Dielectric Resonator Antenna Integrated With Tunable Bandpass Filter

compact, frequency-reconfigurable dielectric resonator antenna (DRA) with wideband and continuously tunable narrowband states is presented. It is intended for the application scenario in the cognitive radio system. The wideband state is the sensing state and operationally covers 3.82–8.94 GHz. The narrowband states are intended to cover communications within the 5.14–5.98 GHz range, which completely covers the WLAN frequency bands. Three p-i-n diodes are employed to switch between wide and some narrowband operational states by selecting the corresponding path. A varactor diode is used to shift the operational frequencies continuously among the narrowband states. The proposed DRA consists of a rectangular dielectric resonator excited by microstrip feedline with a reconfigurable filter; it has a compact dimension: <inline-formula> <tex-math notation="LaTeX">$0.31\lambda _{L}\times 0.41\lambda _{L}\times 0.06\lambda _{L}$ </tex-math></inline-formula>, where the wavelength <inline-formula> <tex-math notation="LaTeX">$\lambda _{L}$ </tex-math></inline-formula> corresponds to the lower bound of its operating frequencies. The measured reflection coefficients, far-field radiation patterns, and realized gains for both operation states are in good consistent with their simulated values.
The Influence of Relationship Stability Patterns in Emerging Adulthood on Chronic Illness and Health Behaviors

Objective: Relationship status (e.g., married, single) is linked to mental and physical health outcomes. However, beyond this static, binary measure of relationship stability it is not known how different patterns of moving in and out of these static statuses effect outcomes. Therefore, using a recent, nationally representative sample of emerging adults, the present longitudinal study examined patterns of relationship stability among young people between the ages of 17 and 27 and their links with mental and physical health outcomes. Method: Using mixed-method, participants’ romantic relationship status was coded across five waves into types of relationship stability patterns. Then, using quantitative methods, we determined if relationship stability pattersn differed on self-reported measures of mental health (i.e., psychological distress), physical health (e.g., chronic illness, self-reported health), and health behaviors (e.g., sleep, binge drinking, smoking) using appropriate regression models (i.e., linear, Poisson, logistic). GJHSS-H Classification: FOR Code: 929999 TheInfluenceofRelationshipStabilityPatternsinEmergingAdulthoodonChronicIllnessandHealthBehaviors Strictly as per the compliance and regulations of: Global Journal of HUMAN-SOCIAL SCIENCE: H Interdisciplinary Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 2249-460x & Print ISSN: 0975-587X Volume 17 Issue 7 Version 1.0 Year 2017 The Influence of Relationship Stability Patterns in Emerging Adulthood on Chronic Illness and
Internet of Things (IoT) of Smart Home: Privacy and Security

The smart home is an environment, where heterogeneous electronic devices and appliances are networked together to provide smart services in a ubiquitous manner to the individuals. organization and people are wide accepting and adopting the functionalities offered by the smart home applications. this can be because of the various advantages, in easing users’ everyday life and work, provided by the rising internet of Things (IoT) technologies and devices, equipped with sensors, cameras, or actuators, and able either to accumulate information from the environment or to perform proper tasks. the main features of smart homes embrace real-time monitoring, remote control, safety from intruders, gas/fire alarm, and so on. Since among smart homes, sensitive and personal data are managed, security and privacy solutions should be put in place, to protect users/businesses’ data against violation try still on guarantee the supply of reliable services. As IoT home devices become increasingly ubiquitous, study’s findings and recommendations contribute to the broader understanding of users’ evolving attitudes towards privacy in smart homes.
Effects of sample size on kernel home range estimates

Kernel methods for estimating home range are being used increasingly in wildlife research, but the effect of sample size on their accuracy is not known. We used computer simulations of 10-200 points/ home range and compared accuracy of home range estimates produced by fixed and adaptive kernels with the reference (REF) and least-squares cross-validation (LSCV) methods for determining the amount of smoothing. Simulated home ranges varied from simple to complex shapes created by mixing bivariate normal distributions. We used the size of the 95% home range area and the relative mean squared error of the surface fit to assess the accuracy of the kernel home range estimates. For both measures, the bias and variance approached an asymptote at about 50 observations/home range. The fixed kernel with smoothing selected by LSCV provided the least-biased estimates of the 95% home range area. All kernel methods produced similar surface fit for most simulations, but the fixed kernel with LSCV had the lowest frequency and magnitude of very poor estimates. We reviewed 101 papers published in The Journal of Wildlife Management (JWM) between 1980 and 1997 that estimated animal home ranges. A minority of these papers used nonparametric utilization distribution (UD) estimators, and most did not adequately report sample sizes. We recommend that home range studies using kernel estimates use LSCV to determine the amount of smoothing, obtain a minimum of 30 observations per animal (but preferably >50), and report sample sizes in published results.
An Introduction into the SVAR Methodology

This paper aims to provide a non-technical introduction into the SVAR methodology. Particular emphasize is put on the approach to identification in SVAR models, which is compared to identification in simultaneous equation models. It is shown that SVAR models are useful tools to analyze the dynamics of a model by subjecting it to an unexpected shock, whereas simultaneous equation models are better suited for policy simulations. A draw back of the SVAR methodology is that due to the low dimension of typical SVAR models the assumption that the underlying shocks are orthogonal is likely to be fairly restrictive.
Dynamics of Vertical Leaf Nitrogen Distribution in a Vegetative Wheat Canopy. Impact on Canopy Photosynthesis

The development of vertical canopy gradients of leaf N has been regarded as an adaptation to the light gradient that helps to maximize canopy photosynthesis. In this study we report the dynamics of vertical leaf N distribution during vegetative growth of wheat in response to changes in N availability and sowing density. The question of to what extent the observed vertical leaf N distribution maximized canopy photosynthesis was addressed with a leaf layer model of canopy photosynthesis that integrates N-dependent leaf photosynthesis according to the canopy light and leaf N distribution. Plants were grown hydroponically at two amounts of N, supplied in proportion to calculated growth rates. Photosynthesis at light saturation correlated with leaf N. The vertical leaf N distribution was associated with the gradient of absorbed light. The leaf N profile changed during crop development and was responsive to N availability. At high N supply, the leaf N profiles were constant during crop development. At low N supply, the leaf N profiles fluctuated between more uniform and steep distributions. These changes were associated with reduced leaf area expansion and increasing N remobilization from lower leaf layers. The distribution of leaf N with respect to the gradient of absorbed irradiance was close to the theoretical optimum maximizing canopy photosynthesis. Sensitivity analysis of the photosynthesis model suggested that plants maintain an optimal vertical leaf N distribution by balancing the capacity for photosynthesis at high and low light. # 2000 Annals of Botany Company
DREAMING DURING SEDATION WITH PROPOFOL, MIDAZOLAM OR REMIFENTANYL IN WOMEN Alaybeyoglu

Objective: patientsundergoing spinal anesthesia; by three different sedative agents. Methods: School of Medicine Ethics Committee, and the patients’ informed consent was received. 120 ASA I III female patients, 18 patients had bispectral index (BIS) monitorization. Th that Group P received propofol infusion, Group M; midazolam infusion, and Group R;remifentanil infusion for sedation. The infusion dosages were decreased by 50% when BISwas80, and titrated thereafter to keep Assessment of Alertness and Sedation Scale (OAA/S). Following recovery, Brice interview was administered to the patients. Results: other groups. The length of stay in postanesthesia care unit (PACU) in Group P was significantly shorter while the incidence of nausea/vomiting in Group R was significantly higher.The groups did not differ w relation of story to everyday life, and dream recallability. Conclusion: significantly dissimilar effects on dreaming,
Alfalfa mosaic virus movement protein induces tubules in plant protoplasts

The alfalfa mosaic virus (AlMV) movement protein (MP) was fused with the green fluorescence protein (GFP). The MP-GFP fusion was transiently expressed in protoplasts prepared from Nicotiana tabacum, resulting in the production of long, extending, tubular structures protruding from the protoplast surface. Deletions of MP amino acids 1 to 77, 84 to 142, or 226 to 300 all affected tubule formation. Hence, the AlMV MP is solely required for the induction of the tubular structures, and the results suggest that AlMV may move from cell to cell via tubules.
Generalists and Specialists: Using Community Embeddings to Quantify Activity Diversity in Online Platforms

In many online platforms, people must choose how broadly to allocate their energy. Should one concentrate on a narrow area of focus, and become a specialist, or apply oneself more broadly, and become a generalist? In this work, we propose a principled measure of how generalist or specialist a user is, and study behavior in online platforms through this lens. To do this, we construct highly accurate community embeddings that represent communities in a high-dimensional space. We develop sets of community analogies and use them to optimize our embeddings so that they encode community relationships extremely well. Based on these embeddings, we introduce a natural measure of activity diversity, the GS-score. Applying our embedding-based measure to online platforms, we observe a broad spectrum of user activity styles, from extreme specialists to extreme generalists, in both community membership on Reddit and programming contributions on GitHub. We find that activity diversity is related to many important phenomena of user behavior. For example, specialists are much more likely to stay in communities they contribute to, but generalists are much more likely to remain on platforms as a whole. We also find that generalists engage with significantly more diverse sets of users than specialists do. Furthermore, our methodology leads to a simple algorithm for community recommendation, matching state-of-the-art methods like collaborative filtering. Our methods and results introduce an important new dimension of online user behavior and shed light on many aspects of online platform use.
A New Species of the Suid Genus Kolpochoerus from Ethiopia

Although the suid genus Kolpochoerus is well known from the Plio-Pleistocene of Africa, the evolutionary history of one of its constituent species, K. majus, remained obscure until substantial fossil evidence accumulated during the last 20 years, largely from sites in Ethiopia. Here, we describe Kolpochoerus phillipi sp. nov., based on a fairly complete skull and the remains of additional individuals from ∼2.5 Ma deposits at Matabaietu, in the Middle Awash study area of Ethiopia. Based on a phylogenetic analysis, we suggest that K. phillipi sp. nov. belongs to a clade of “bunolophodont suines” including K. majus and the extant giant forest hog Hylochoerus meinertzhageni. Within this clade, K. phillipi sp. nov. likely represents a potential ancestor of K. majus, based on its morphology and stratigraphic position.
Localization of Lumbar and Thoracic Vertebrae in 3D CT Datasets by Combining Deep Reinforcement Learning with Imitation Learning

Landmark detection and 3D localization in CT datasets is challenging due to the natural variability of human anatomical structures. We present a novel approach to lumbar and thoracic vertebrae localisation that combines Deep Reinforcement Learning with Imitation Learning. The method involves navigating a 3D bounding box to the target landmark, followed by adjustment of the bounding box dimensions to enclose the region of interest. Two diﬀerent 3D Convolutional Neural Networks (CNN) were utilized, one for learning the navigation in the coordinate directions and the other for predicting the size of the bounding box dimensions. Deep Reinforcement Learning was used to learn the direction of navigation, with random search replaced by guided search using Imitation Learning. The method achieved mean 3D Jaccard Index of 69.96% / 67.75% for lumbar spine (training on 62 datasets, testing on 20) / thoracic spine (training on 74 datasets, testing on 20).
ESTIMATION OF RMS DELAY SPREAD FOR DOUBLE BOUNCE IN TROPICAL REGIONS

The propagation of multipath signals in outdoor microcell tropical environments during rain event is an important issue with significant impacts on the present and future scope of the ultra-wideband technology and its applications. The objective of this work is to obtain a better assessment of time dispersion characteristic for outdoor dense tropical areas. In this paper, a mathematical model is developed to estimate the RMS delay spread characteristics of the channel for single and double reflections of signals for various rainfall rates. The model analysis includes outdoor regions like a college campus, agricultural fields located in dense vegetation including Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) paths. The proposed mathematical model also estimates the Power Delay Profile (PDP) for various multipath reflections from the obtained important dispersion parameter Namely Root-Mean-Squared (RMS) delay spread of the channel. Simulation results show that the attenuation of the signal is more during a rain event (wet season) and less during no rain event (dry season) by including single and double reflections of the signal. It is found that the communication link degradation is not only due to rainfall rate but also due to the double scattering effect in dense tropical areas.