Miracle-dz/UniFAR-FTUs huggingface dataset:
Internet False News Information Feature Extraction and Screening Based on 5G Internet of Things Combined with Passive RFID

In this paper, the authenticity of news information on the 5G Internet of Things (IoT) is studied, and a network false news information screening platform is designed and optimized by IoT combined with passive RFID. The electronic license chain based on data sovereignty is established, in which, combined with the identity identification and strong correlation ability based on the electronic license chain, a cross-industry, cross-business, and cross-field behavior record base database is formed; then, a digital library is constructed based on this base library; finally, through data sharing and management, a false news information feature extraction and screening platform is formed for the orderly management and reasonable dispatch of government resources and reducing various risks. The main functional modules implemented by the platform are the acquisition of news data and comment data, the retrieval and analysis of news data, the false detection of online news, and the visualization of false news data. However, there is still much public who are not aware or do not understand that news truth is this dynamic form. Therefore, this paper aims to inform the public that news truth in news context is a dynamic process by 5G Internet of Things combined with passive RFID. The public understands the circumstances where news truth may be dynamic truth to avoid being misled by false news.
Investigation of the effects of animal and plant based milk on satiety and postprandial glucose levels

The aim of this study was to determine the short-term effects of animal and plant-based milk consumption on postprandial glycemia, toughness, food intake of healthy individuals. Cow milk and soymilk were used as the test drink and com-mercial fruit juice as the control group. In the study in which 19 healthy adult subjects participated, fast-ing blood glucose and post-prandial blood glucose ana-lysed, visual analog scale and appetite were ques-tioned. Then, 24-hour food comsumption records were taken and energy and mac-ronutrients were calculated and compared. While the highest energy intake was on the day that cow milk was consumed, no signifi-cant relationship was found between test groups in terms of energy and macronutrient intake (p>0.05). It was de-termined that the difference between fasting and post-prandial blood glucose was in the week in which the highest cow milk was con-sumed and this change was significant (p< 0.05). It was thought that the satiety ef-fect of cow milk may be higher than that of soy milk due to its animal protein and saturated fat content.
6DOF optical tracking system using afocal optics for image guided surgery

Image guided surgery using medical robots is becoming popular these days. For image guided surgery, a tracking system is required to provide 6DOF information of patient coordinate, surgical instruments and medical robots used in surgery. To provide 6DOF information, a marker has to be attached to the target. However, it is hard to use many markers all together because the markers will take too much space in the surgical area. The tracking system proposed in this study utilizes down sized markers compared to traditional markers by using micro-engraved data- coded pattern with a lens instead of using geometrically specified marker spheres as a tracking target. A tracking system is developed that has a measurement area of 1m to 2.5m from the tracking system. Experiment has been done for surgical navigation using the proposed tracking system and a medical robot.
Non-Invasive Assessment of the Seasonal Stress Response to Veterinary Procedures and Transportation of Zoo-Housed Lesser Anteater (Tamandua tetradactyla)

Simple Summary Wild mammals under human care are routinely exposed to management procedures that could be stressful and affect their welfare. Besides, wild animals in captivity are frequently housed under natural climatic conditions, which could also be a year-round challenge that affects how they cope with human intervention. Therefore, stress responses to seasons and management procedures of zoo-housed lesser anteaters (Tamandua tetradactyla) were non-invasively monitored. Behavioural and physiological stress responses differed between seasons. Then, lesser anteaters were studied during winter and summer by exposing them to a routine veterinary check and transportation. Behaviour before and after the procedures was video-recorded and analysed for possible alterations of activity. Faecal glucocorticoid metabolites were measured to evaluate adrenocortical activity. Both procedures altered only behavioural activities, and the response was stronger in summer than winter. We conclude that routine procedures may only slightly compromise the welfare of zoo-housed lesser anteaters, affecting them less in winter than in summer. Abstract Management procedures affect behavioural and physiological stress responses of wild mammals under human care. According to the Reactive Scope Model, normal values are presumed to exist within predictive and reactive ranges. First, stress parameters of zoo-housed adult Tamandua tetradactyla were evaluated in winter and summer (29 days each), determining the level of behaviour and/or physiological parameters needed to respond to predictable environmental changes. Secondly, the effects of veterinary procedures and transportation were studied in both seasons. Non-invasive methods were applied, assessing behaviour through videos and adrenocortical activity by faecal glucocorticoid metabolites (FGMs). Lesser anteaters exhibited seasonality (summer > winter) in some behavioural parameters, such as nocturnal activities, as well as in the activity cycle (e.g., acrophase) and FGMs. A veterinary check elicited an increase in total activity (TA), natural behaviours and repetitive locomotion and affected the activity cycle, particularly in summer. Transport produced changes in TA, nocturnal and natural activity and some variables of the activity cycle, mostly during summer. Although the effects of routine management procedures were different from each other and presumably stressful, they elicited changes only at the behavioural level, which was greater during summer. The differences observed according to non-invasive methodologies highlight the importance of a multidisciplinary approach in this context and suggest that it is unlikely that individual welfare was affected.
The self-nanoemulsifying drug delivery system of Petiveria alliacea extract reduced the homeostatic model assessment-insulin resistance value, interleukin-6, and tumor necrosis factor-α level in diabetic rat models

Abstract Background and Aim: Metaflammation plays a significant role in the pathogenesis, development, and complication of diabetes mellitus (DM). This inflammation is associated with insulin resistance. Therefore, the inflammatory pathways have been targeted for pharmacological treatment. Petiveria alliacea can decrease blood glucose levels and has anti-inflammatory and antioxidant activities; however, there are still insufficient data regarding its efficacy for the treatment of DM. This study aimed to investigate the effect of the self-nanoemulsifying drug delivery system (SNEDDS) of P. alliacea leaf extract on the homeostatic model assessment (HOMA)-insulin resistance (IR) value and interleukin (IL)-6 and tumor necrosis factor-α (TNF-α) levels in a streptozotocin (STZ)-induced diabetic rat model. Materials and Methods: Thirty-five diabetic rat models were randomly divided into five groups. The first group received the SNEDDS of P. alliacea leaf extract at a dose of 50 mg/kg body weight (BW), the second group received it at a dose of 100 mg/kg BW, the third group received it at a dose of 200 mg/kg BW, the fourth group received 18 mg of metformin, and the fifth group only received the SNEDDS formula. The treatment was administered once a day, orally, for 14 days. On the 15th day after treatment, the rats were sacrificed to obtain blood samples for cardiac examination. The IL-6, TNF-α, and insulin levels in the serum were measured using the enzyme-linked immunosorbent assay method. The HOMA-IR value was calculated using a formula. Results: The mean IL-6 and TNF-α levels were low in the group that received the SNEDDS of P. alliacea leaf extract. There was no significant difference in the insulin level in all treatment and control groups. However, a significant difference in the HOMA-IR value was noted between the group that received the SNEDDS of P. alliacea leaf extract and metformin and the group that did not receive treatment (p<0.05). Conclusion: The SNEDDS of P. alliacea leaf extract reduced the HOMA-IR value and suppressed the TNF-α and IL-6 levels in the STZ-induced diabetic rat model.
Modification of the simplified method of crack control included in EN 1992‐3

The methods of crack control for liquid‐retaining RC tank walls are analysed taking into account external load (EN 1992‐1‐1) and imposed strain occurring at the construction stage (EN 1992‐3), i.e. during the concrete‐hardening period. The convergence ranges of the s implified method of crack control included in EN 1992‐3 and the detailed calculation methods included in EN 1992‐1‐1 and EN 1992‐3 are defined. Apart from the compatibility areas, overestimation of the acceptable reinforcing bar diameter φs*, illustrated in Fig. 7.103N in EN 1992‐3, was proved. Coefficients kφ1 and kφ2 are defined, which enable the calculation of the acceptable reinforcing bar diameter φs* in order to obtain the values complying with the direct calculations. For practical purposes, graphs have been plotted to facilitate the definition of coefficients kφ1 and kφ2 without performing direct calculations. On the basis of the analyses performed and the relations proposed, it can be concluded that there is a possibility or a necessity to increase or decrease the acceptable reinforcing bar diameter φs* depending on the concrete mechanical properties and geometrical properties of an RC tank wall.
Does the intensity in R&D generate start-up’s growth?

Existing literature is not conclusive regarding the effect that R&D activities exert on a firm’s performance and growth. Furthermore, this issue is unexplored in the literature stream of new venture growth. We shed light on this issue by proposing a mediation model. Building on previous literature, we predict that R&D intensity indirectly and positively affects the growth of new ventures through the mediation of patents. The analysis is conducted from primary survey data which contains information for 87 new ventures belonging to the Basque innovation ecosystem. According to the results, patents significantly and positively mediate the relation between R&D intensity and new venture growth.
Energy efficient resource controller for Apache Storm

Apache Storm is a distributed processing engine that can reliably process unbounded streams of data for real‐time applications. While recent research activities mostly focused on devising a resource allocation and task scheduling algorithm to satisfy high performance or low latency requirements of Storm applications across a distributed and multi‐core system, finding a solution that can optimize the energy consumption of running applications remains an important research question to be further explored. In this article, we present a controlling strategy for CPU throttling that continuously optimize the level of consumed energy of a Storm platform by adjusting the voltage and frequency of the CPU cores while running the assigned tasks under latency constraints defined by the end‐users. The experimental results running over a Storm cluster with 4 physical nodes (total 24 cores) validates the effectiveness of proposed solution when running multiple compute‐intensive operations. In particular, the proposed controller can keep the latency of analytic tasks, in terms of 99th latency percentile, within the quality of service requirement specified by the end‐user while reducing the total energy consumption by 18% on average across the entire Storm platform.
NONLINEAR TWO DoF DYNAMIC MODELLING OF A TRMS USING AN ADAPTIVE NETWORK BASED INFERENCE SYSTEM (ANFIS)

In this paper dynamic modeling approach for a highl y nonlinear aerodynamic test rig, a twin rotor mult iinput-multi-output system (TRMS) using a neuro-fuzzy approach is presented in terms of 2 DoF motion of the system. The modelling process is realized in an adaptive-network-based fuzzy inference system (ANFIS) framework to utilize the learning and adaptation ca pability of neural networks and human like expert knowledge of fuzzy logic. However, the TRMS is a 2 DoF system, a 2 DoF model is therefore necessary fr om control perspective as well as to truly characteriz e its dynamics. As such a 2 DoF model of the system is further developed. The developed models optimally represent the behaviour of the TRMS in 2 DoF domains as validated by three convincing tests. It is noted that the approach presented here has the potential to be used to model similar nonlinear and complex air vehicles .
Acoustic and Genetic Data Can Reduce Uncertainty Regarding Populations of Migratory Tree-Roosting Bats Impacted by Wind Energy

Simple Summary Although wind energy provides valuable environmental and economic benefits, it has unintended negative consequences for wildlife, particularly birds and bats that collide with the rotating blades. In North America, for example, there are increasing concerns that wind turbines threaten the persistence of populations of migratory tree-roosting bats, such as the hoary bat (Lasiurus cinereus). Because it is not possible to monitor population sizes for these solitary and cryptic species using traditional techniques, we must rely on other methods, such as acoustic and genetic monitoring, to provide information regarding population status and trends. Using these approaches, we can build a weight of evidence to assess whether mortality associated with wind turbines is sustainable and determine if and when mitigation measures should be implemented to reduce wind turbine mortality. To this end, we recommend that acoustic data be collected using the North American Bat Monitoring Program (NABat) protocols, and that genetic diversity be monitored at repeated time intervals to document species trends. There are no short-term measures to resolve population-level questions for migratory tree-roosting bats. Nonetheless, we discuss opportunities for relatively short-term investments that will lead to long-term success in reducing uncertainty for these species. Abstract Wind turbine-related mortality may pose a population-level threat for migratory tree-roosting bats, such as the hoary bat (Lasiurus cinereus) in North America. These species are dispersed within their range, making it impractical to estimate census populations size using traditional survey methods. Nonetheless, understanding population size and trends is essential for evaluating and mitigating risk from wind turbine mortality. Using various sampling techniques, including systematic acoustic sampling and genetic analyses, we argue that building a weight of evidence regarding bat population status and trends is possible to (1) assess the sustainability of mortality associated with wind turbines; (2) determine the level of mitigation required; and (3) evaluate the effectiveness of mitigation measures to ensure population viability for these species. Long-term, systematic data collection remains the most viable option for reducing uncertainty regarding population trends for migratory tree-roosting bats. We recommend collecting acoustic data using the statistically robust North American Bat Monitoring Program (NABat) protocols and that genetic diversity is monitored at repeated time intervals to show species trends. There are no short-term actions to resolve these population-level questions; however, we discuss opportunities for relatively short-term investments that will lead to long-term success in reducing uncertainty.
Geometric Morphometrics of Bilateral Asymmetry in Eunotia bilunaris (Eunotiales, Bacillariophyceae) as a Tool for the Quantitative Assessment of Teratogenic Deviations in Frustule Shapes

A number of pennate diatom genera typically have teratogenic deformations of their siliceous frustules due to the effects of environmental stress, such as high concentrations of heavy metals and low pH. However, the quantitative assessment of these deformations has rarely been applied. One species in which aberrations have frequently been reported is Eunotia bilunaris, which typically has bilaterally symmetric frustules with dorso-ventral differentiation. In this study, we aimed to illustrate the geometric morphometric analysis of symmetry as a tool for assessing the severity of teratogenic deformations. These were quantified by Procrustes superimposition of equidistant points placed along the valvar outlines in pairs of configurations based on their bilateral reflection symmetry. The shape deformations were mostly confined to central parts of the ventral outlines and were captured both by the symmetric and asymmetric subspaces of the variation. The amount of bilateral asymmetry in individual cells was negatively related to frustule size via the allometric power law relationship, illustrating that asymmetry increased in the asexual diminution series. The presented analysis provides a framework for the quantitative assessment of frustule deformations in eunotioid diatoms that can be used for the comparative scoring of teratogenic deviations among cells, populations, or species.
Specificity of the affective sphere of spouses with higher and lower levels of transgression

Within the understanding of psychotransgressionism, personality is a network of five equipollent psychons: cognitive, instrumental, motivational, emotional and personal. The strength of the individual psychons lies at the basis of the tendency to undertake transgressive actions of a pro-development nature. In the presented research, we focused on the affective sphere of spouses as a manifestation of the functioning of one of the psychons – emotional. The analysis of the results obtained confirmed the assumed hypothesis. Spouses with a higher level of transgression were characterized by a greater positive affective shift than spouses with a lower level of transgression. The emotional climate brought into mutual relations by spouses with a higher level of transgression may foster building satisfying and stable marital relationships.
Strategic Analysis of Collaborative Governance for Disaster Management on Forest and Land Fires in Indonesia

This research aims to understand the strategic analysis of collaborative governance on forest and land fire disasters at the ontological and sociological level that are very significant in reducing risk of natural disasters in Indonesia. The problem is very interesting to be analyzed by conducting a descriptive qualitative research based on theory of public policy, collaborative governance, and strategic management. The data were collected through in-depth interview, observation, and related documentation in forest and land fire cases in Indonesia. The data were analyzed by using interactive models, which are data reduction, data display, data verification, and supported by triangulation. The results were based on ontological and sociological level by using collaborative governance perspective and strategic analysis of internal, external, supporting, and inhibiting factors for reducing disaster risks and improving disaster management. Vision and mission of public policies on disaster management are needed for improving and providing information to stakeholders regarding regulations and sanctions in natural disaster management and produce a revised relevant regulation for state agencies as public officials in making regulations on disaster management in Indonesia.
Feature regularization and extraction in eigenspace for face recognition

The ability to recognize human faces is a demonstration of incredible human intelligence. Over the last two decades researchers from diverse areas are making attempts to replicate this outstanding visual perception of human beings in machine recognition of faces. Within the face recognition literature, debate has been centered on how human beings perceive human faces and this has become an important and active research area. Psychologists concluded that holistic and component based approaches are dual routes to the face recognition. Recent studies (like FERET competition) show that holistic approaches have dominated the face recognition systems and have shown better performance than component based approaches. Although these holistic/appearance based approaches have attained certain level of maturity their performances are far away from the abilities of human recognition of faces. Owing to the immense potentiality of the face recognition applications it is imperative to develop a face recognition system, which is robust, efficient and able to achieve high recognition accuracy on large face image databases. In this thesis, we propose various algorithms which are based on statistical pattern recognition and computer vision for robust face recognition with high accuracy. We study numerous holistic/appearance based face recognition methods among which, PCA, FDA, Bayesian maximum likelihood, NDA and their variations are the popular ones. For applications involving high dimensional patterns such as human faces, demand large number of training samples to obtain good generalization and efficient classification ability. In this thesis, we propose enhanced Bayesian face iii ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library
Dimensional analysis of partial discharge initiated by a metallic particle adhering to the spacer surface in a gas-insulated system

Partial discharges (PDs) constitute important phenomena in a Gas-Insulated System (GIS) that warrant recognition (and, subsequently, mitigation) as they are obvious symptoms of system degradation. This paper proposes the application of dimensional analysis, based on Buckingham pi theorem, for characterizing PDs provoked by the presence of metallic particles adhering to the spacer surface in a GIS employing SF6 (Sulphur hexafluoride). The ultimate goal of the analysis is to formulate the relationships that express three PD indicator quantities, namely current, charge, and energy, in terms of six independent quantities that collectively influence these indicators. These six quantities (henceforth referred to as the influencing, determining or affecting variables) include the level of applied voltage, the SF6 pressure, the length and position of the particle on the spacer, the duration of voltage application, and the gap between electrodes. To compute the pertinent dimensionless products, we implement three computational methods based on matrix operations. These three methods produce exactly the same dimensionless products, which are subsequently used for constructing the models depicting the relationships between each of the three PD dependent quantities and the common six determining variables. The models derived provide partial quantitative information and facilitate qualitative reasoning about the considered phenomenon.
Multiarea Secondary Voltage Regulation with Optimal Shunt Elements Coordinated Maneuvers

This paper presents a power system Secondary Voltage Regulation (SVC) strategy which aims to find the optimal position of shunt capacitors and shunt reactors available within a control area to lead the bus voltages to a predefined profile. An influence-based partitioning method is proposed, the buses are grouped according to their voltage sensitivity to the reactive power injected by controllable devices, a hierarchical clustering method is used for this purpose. The resulting optimization problem of each area is accelerated using a state independent linearization of the power flow equations. The proposed methodologies are applied to the Colombian-Ecuadorian power systems achieving a reduction of voltage deviation of one of the resulting areas after a disturbance.