Miracle-dz/UniFAR-FTUs huggingface dataset:
An Analysis on Electric Power Policy through ACMS Model : Focused on the Power Generation Subsidiary Company of the Korea Electric Power Corporation

The purpose of this study is to dimensionally examine the factors of policy changes by applying the ACMS model to KEPCO`s structural reorganization privatization policies and study its implications. As a result of the analysis, among the external variables that affect as a financial source or restriction to advocates, all areas except for the difference in opinion of the people as well as policy decision and effects of other subordinate systems were shown to be in an advantageous condition acting as a financial source to advocates of structural reorganization privatization. On the other hand, advocates affected by the external variables share a certain belief system in which the advocates of privatization share the justification of profitability while the advocates of collectivization share the justification of publicness. In these flows, the announcement of the privatization plan of public enterprises of the committee of planning and budgeting acts as a matter of contact which opens the windows for policy changes, and this window goes through ignition, explosion, and fixation which causes fierce interactions among advocates of both sides. Eventually, in accordance with the contents of excluding electricity(KEPCO) from the list for privatization the window for policy changes has closed and things have changed to a transitional KEPCO privatization policy. Based on this, the first implication is that non-official participants such as the people, social organizations, labor unions, etc. influence policy changes more than they did before. Secondly, in the process of policy changes, there is an order of boundary even in the fierce interactions between each advocate. Thirdly, specific variables can play various roles in complex policy phenomenon. Fourthly, a logical analysis using the ACMS model is possible in Korea as well. Fifthly, as a result of analyzing the change process of the KEPCO structural reorganization privatization policy through the ACMS model, not all matched with the main research results implied by the ACMS model.
The Internet of Things and Architectures of Big Data Analytics: Challenges of Intersection at Different Domains

The current exponential advancements in the Internet of Things (IoT) technologies pave a vast intelligent computing platform by integrating smart objects with sensing, processing and communication capabilities. The core element of IoT is the complex big data generated from different interconnected sources at real-time, presenting divergent processing and analysis challenges. Best practices in software engineering have been continuously addressed in IoT technologies to handle such big data efficiently at different domains. Despite of the massive studies dedicated for IoT, no explicit processing architecture is proposed based on real investigation of software engineering concepts and big data analytics characteristics in IoT. This paper provides a systematic literature review for the current state-of-the-art of IoT systems in different domains. The study investigates the current techniques and technologies that serve IoT systems from the big data analytics and software engineering perspectives, revealing a matrix for the specific IoT data features and their encountered challenges and gaps for each domain. The review deduces a proposed domain-independent software architecture for big IoT data analytics, maintaining various IoT data processing challenges, including data scalability, timeliness, heterogeneity, inconsistency, confidentiality and correlations. Finally, the main research gaps are emphasized for future considerations.
Age-Related Differences in Performance Using a Mouse and Trackball

Aging is marked by changes in motor control which may be expected to affect performance using computer pointing devices. In this experiment, we compared older and younger adults' ability to acquire on-screen targets of varying distance and size using a mouse and trackball. The older adults moved consistently slower than their younger counterparts with both devices, particularly when making large amplitude movements. Error rates were equivalent for both age groups across all conditions. Analysis of throughput values indicated a significant interaction between age and device in which the younger adults' performance was more degraded when using the trackball than the mouse, while the older adults' performance did not vary across devices. These results are discussed in terms of potential error-averse strategies employed by the older participants in an attempt to compensate for age-related declines in motor control. Although the performance measures obtained in this study imply that older adults would perform equivalently using either the mouse or the trackball, it is not known whether these results generalize to other experimental conditions including different movement tasks, and target characteristics.
Understanding how noise affects the accuracy of CNN image classification

— Image classification by using Convolutional Neural Network (CNN) has been a popular method in image processing. This is because this model produces high accuracy of output with efficient amount of work. There are a lot of factors that could affect the performance of CNN in image processing such as image resolution, size of data, quality of image, kernel size and so on. The purpose of this research is to test the accuracy of CNN in training and testing with and without the presence of noise augmentation.
The Role of Autophagy in Lamellar Body Formation and Surfactant Production in Type 2 Alveolar Epithelial Cells

The lamellar body (LB), a concentric structure loaded with surfactant proteins and phospholipids, is an organelle specific to type 2 alveolar epithelial cells (AT2). However, the origin of LBs has not been fully elucidated. We have previously reported that autophagy regulates Weibel-Palade bodies (WPBs) formation, and here we demonstrated that autophagy is involved in LB maturation, another lysosome-related organelle. We found that during development, LBs were transformed from autophagic vacuoles containing cytoplasmic contents such as glycogen. Fusion between LBs and autophagosomes was observed in wild-type neonate mice. Moreover, the markers of autophagic activity, microtubule-associated protein 1 light chain 3B (LC3B), largely co-localized on the limiting membrane of the LB. Both autophagy-related gene 7 (Atg7) global knockout and conditional Atg7 knockdown in AT2 cells in mice led to defects in LB maturation and surfactant protein B production. Additionally, changes in autophagic activity altered LB formation and surfactant protein B production. Taken together, these results suggest that autophagy plays a critical role in the regulation of LB formation during development and the maintenance of LB homeostasis during adulthood.
Performance Evaluation of Wireless Routing Protocols: RIP and OSPF in WLAN

— The network layer’s function is to route packets from the source device to the destination device with the help of routers. The routers route the packets using various routing protocols. In this paper, we analyze and compare the routing protocols RIP and OSPF used by routers to see which routing protocol performs better in wireless network in terms of performance. Also, the paper presents the simulation results of these protocol comparisons in terms of throughput and delay.
High-throughput DNA purification with DNeasy 96 — more than just mouse tails

3. Witzemann, V. , Schwarz, H. , Koenen, M. , Berberich, C. , Villarroel, A. , Wernig, A. , Brenner, H.R. , and Sakmann, B. (1996) Acetylcholine receptor ε-subunit deletion causes muscle weakness and atrophy in juvenile and adult mice. Proc. Natl. Acad. Sci. USA 93, 13286. DNA purification from various tissues for in vivo antiviral studies Uwe Reimann, Diana Guntermann, and Olaf Weber, Bayer AG, Wuppertal, Germany
Enhancing Multimedia Streaming with Weighted Multiple Transmission Paths in Software Defined Networks

With continuing advances in network and video and audio techniques, and the proliferation of mobile applications, the demand for multimedia streaming has grown exponentially in recent years. This study therefore proposes a multipath transmission scheme, designated as Weighted Stochastic Multipath (WSMP) scheme, for enhancing the efficiency of multimedia streaming transmissions by utilizing the data flow control ability in Software Defined Networks (SDNs). The proposed method searches for multiple transmission paths meeting the imposed QoS constraints, and then uses the stochastic switching mechanism based on the OpenFlow protocol in SDNs to transmit the data packets of single data flows through the multiple paths. In addition, the Analytic Hierarchy Process (AHP) method is used to set the transmission weights of the different paths in such a way as to optimize the transmission performance. Thus, the proposed multipath transmission scheme not only can avoid single path interruptions but also can split a single traffic flow among multiple paths. In comparison with the traditional single path transmission scheme and the well-known MPTCP scheme, the experimental simulation results show that, when the QoS parameter values of the multiple transmission paths are diverse, WSMP attains a higher throughput for data transmission and better PSNR values for video streaming, and thus yields a significant improvement in the efficiency of multimedia streaming transmissions.
Predicted thresholds for levels of natural vegetation that safeguard pollinator services

24 The conversion of natural vegetation into cultivated land can cause pollinator declines and 25 thereby degrade pollination services to crops and wildflowers. The effect of landscape 26 composition on pollinator abundance is well established, but its impact on pollination intensity 27 and crop yield is not fully resolved. We therefore studied pollination of two crops in India, 28 brinjal (Solanum melongena) and mustard (Brassica nigra), along a landscape-scale gradient 29 in habitat transformation from forest-dominated natural vegetation to intensive cultivation. 30 We quantified the pollination requirements (pollen receipt-seed set relationships) of the crops 31 and the levels of pollen delivery by their principal pollinators, bees. Combining these with 32 field surveys of pollinator abundance, we modelled the levels of pollination service to fields 33 along the landscape gradient. Projected pollination services declined as the area occupied by 34 natural vegetation decreased. We identified thresholds at which bee pollination no longer 35 supported maximum seed set, which were landscapes with approximately one quarter (27%) 36 of nearby natural vegetation for brinjal fields and one fifth (18%) for mustard. Our findings 37 indicate that preserving or restoring the cover of natural habitats above these minimum 38 thresholds could be a valuable strategy for maintaining pollinator abundance and safeguarding 39 yield in these bee-pollinated crops. 40
Machine Learning for Robust Beam Tracking in Mobile Millimeter-Wave Systems

Narrow beams in millimeter-wave (mmWave) communication introduce significant beam misalignment challenges. In this paper, we introduce MAMBA-X, an enhanced version of the MAMBA beam tracking scheme. Basically, MAMBA uses a restless multi-armed bandit framework to capture the dynamics of mmWave links by discounting the relevance of past observations using a “forgetting factor” ($\gamma_{1}$) and increases the weight of recent observations via a “boost factor” ($\gamma_{2}$). Because the original MAMBA uses fixed values for $\gamma_{1}$ and $\gamma_{2}$, it cannot quickly adapt to variations in user mobility. Moreover, if the time between consecutive beam selection instances is large compared to channel dynamics, past observations become obsolete. To tackle these issues, we first use the concept of beam coherence time to establish a bound on the beam selection intervals. Secondly, we show that the performance of MAMBA depends primarily on the value of $\gamma_{1}$ which, in turn, depends on UE mobility. We develop a Long Short-Term Memory (LSTM) model to dynamically predict and update the optimal value of $\gamma_{1}$. Through extensive simulations at 28 GHz and using publicly available 5G NR experimental dataset, we evaluate MAMBA-X. Our results indicate that the total delivered traffic is improved by up to 46.8% relative to the original MAMBA and 142% compared to the default beam management scheme in 5G NR.
Using Two-Third Power Law for Segmentation of Hand Movement in Robotic Assisted Surgery

In this study, we have developed a robust and accurate algorithm based on concept of two-third power law in human motor control to segment the hand trajectory of robotic surgeons into smaller segments. We hypothesis that tracking a longer trajectory is subjected to higher cognitive workload that may lead in to an imperfect CNS performance in programming muscle activation which will lead to more number of segment trajectories and pause points in hand movements.To test our hypothesis, after segmenting the trajectory, we determine the correlation between affine velocity and workload extracted from Surgeon’s Electroencephalography (EEG) features. EEG features are extracted by using brain waves recorded by wireless brain computer interface (B-Alert X-10 system). In our experimental study, 2 groups of participants three “experts” and five “Competent and Proficient” performed Urethro-vesical Anastomosis on an inanimate model, using the da-Vinci Surgical System® (Sunnyvale, CA). Copyright © 2015 by ASME
REVISTA DE CONTABILIDAD SPANISH ACCOUNTING REVIEW

This study analyses the association between the competence of audit committee members and earnings management in a sample of 142 non-financial firms from France, Germany, Italy, Spain, and the United Kingdom over the 2006–2013 period. We measure members’ competence through their dedication and expertise. We find that outside directorships have a dual effect, such that a balanced level of dedication to the audit committee (roughly two outside directorships) reduces earnings management. We examine four types of expertise: audit, non-audit accounting, non-accounting financial, and supervisory expertise. We find a negative relation between earnings management and the audit experience of committee members, and that the other types of expertise play no relevant role. We also find that the contribution of audit experts to curbing earnings management proves particularly important in smaller and less active committees, as well as in smaller and busier boards. ©2022 ASEPUC. Published by EDITUM Universidad de Murcia. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Códigos JEL: M42 G34 Palabras clave: Experiencia contable Comité de auditoría Gobierno corporativo Gestión de beneficios Experiencia financiera Competencia del Comité de Auditoría y gestión de los beneficios en Europa
Neurofeedback-guided kinesthetic motor imagery training in Parkinson's disease: Randomized trial

Background: Parkinson's disease (PD) causes difficulty with maintaining the speed, size, and vigor of movements, especially when they are internally generated. We previously proposed that the insula is important in motivating intentional movement via its connections with the dorsomedial frontal cortex (dmFC). We demonstrated that subjects with PD can increase the right insula-dmFC functional connectivity using fMRI-based neurofeedback (NF) combined with kinesthetic motor imagery (MI). The current study is a randomized clinical trial testing whether NF-guided kinesthetic MI training can improve motor performance and increase task-based and resting-state right insula-dmFC functional connectivity in subjects with PD. Methods: We assigned nondemented subjects with mild PD (Hoehn & Yahr stage [≤] 3) to the experimental kinesthetic MI with NF (MI-NF, n=22) and active control visual imagery (VI, n=22) groups. Only the MI-NF group received NF-guided MI training (10-12 runs). The NF signal was based on the right insula-dmFC functional connectivity strength. All subjects also practiced their respective imagery tasks at home daily for 4 weeks. Post-training changes in 1) task-based and resting-state right insula-dmFC functional connectivity were the imaging outcomes, and 2) MDS-UPDRS motor exam and motor function scores were the clinical outcomes. Results: The MI-NF group did not show significant NF regulation and was not significantly different from the VI group in any of the imaging or clinical outcome measures. The MI-NF group reported subjective improvement in kinesthetic body awareness. There was significant and comparable improvement only in motor function scores in both groups. This improvement correlated with NF regulation of the right insula-dmFC functional connectivity only in the MI-NF group. Both groups showed specific training effects in whole-brain functional connectivity with distinct neural circuits supporting kinesthetic motor and visual imagery (exploratory outcome). Conclusions: The functional connectivity-based NF regulation was unsuccessful in our cohort with mild PD. However, kinesthetic MI practice by itself or in combination with other imagery techniques is a promising tool in motor rehabilitation in PD.
The impact of demographic factors on numbers of COVID-19 cases and deaths in Europe and the regions of Ukraine

The accumulated numbers of COVID-19 cases and deaths per capita are important characteristics of the pandemic dynamics that may also indicate the effectiveness of quarantine, testing, vaccination, and treatment. The statistical analysis based on the number of cases per capita accumulated to the end of June 2021 showed no correlations with the volume of population, its density, and the urbanization level both in European countries and regions of Ukraine. The same result was obtained with the use of fresher datasets (as of December 23, 2021). The number of deaths per capita and per case may depend on the urbanization level. For European countries these relative characteristics decrease with the increase of the urbanization level. Opposite trend was revealed for the number of deaths per capita in Ukrainian regions.
Design and Realization of Computer Image Intelligent Recognition System

The application of intelligent image recognition technology in life is more and more extensive, especially in the field of computer and multimedia, the research of machine vision system is becoming more and more mature, and the demand of human society for information processing is constantly increasing. This article first analyzes the basic knowledge of digital images based on computer technology, including basic knowledge of digital images, basic knowledge of image filtering and image recognition algorithms. Secondly, this paper studies the design and implementation of computer image intelligent recognition system.
Optimization of the operation of Dokan hydropower development using Cuckoo Search Algorithm

In this paper one of the recently developed metaheuristic algorithms, the Cuckoo Search algorithm is used for the optimization of the operation of a large hydropower plant in Kurdistan, Iraq. The optimization problem is to realize an annual planned energy generation with monthly imposed fractions. The obtained results are excellent, nevertheless, there are some limitations of the algorithm determined by the initial level into the reservoir and a certain correlation between the type of the year, the starting level and the planned energy to be realized.
Can We Work Together?

People have a versatility to adapt to various situations in order to communicate with each other regardless of a person's disability. We research separate computer interfaces to support remote synchronous collaboration in two situations. First, a deaf person collaborating with a hearing person uses a shared workspace with video conferencing, such as the Facetop system. Second, a blind person collaborating with a sighted person uses our loosely coupled custom shared workspace called Deep View. The design features of the respective interfaces accommodate the disability of a deaf person or a blind person and enable communication with a person without a disability. The interfaces expand the ways in which people with disabilities participate in a collaborative task to a level of detail not possible without our interfaces. The design features of our user interfaces provide alternative channels for the collaborators with disabilities to communicate ideas or coordinate actions that collaborators without disabilities would otherwise do verbally or visually. We evaluate the interfaces through three user studies where collaborators complete full fledged tasks that require managing all aspects of communication to complete the task. Throughout the research we collaborated with members of the Deaf community and members of the blind community. We incorporated the feedback from members of these communities into the implementation of our interfaces. The members participated in our user studies to evaluate the interfaces.
THE SPECIFIC FEATURES OF FBW CONTROL LAWS OF ADVANCED REGIONAL JET

Abstract Optimization of handling qualities for all the flight conditions. Angle of attack and normal load factor limitation. Pitch and bank angle limitation. Maximum speed and Mach number limitation. Tail damage protection for take-off. Hands free attitude hold mode. Compensation of changes in aircraft configuration. Engine thrust compensation. Thrust asymmetry compensation. Auto turn coordination. Auto trimming. Rudder deflection limitation. Direct Mode particularities.
Indigenous Learning Pantun and Gurindam Traditions in the Malay Community Penyengat Island Tanjung Pinang, Kepulauan Riau, Indonesia

: Indigenous Learning according to Combs (1984) is a learning system used by traditional communities to educate by inviting their children directly in traditional activities, so that it becomes a habit that is carried out in everyday life to pass on the socio-cultural heritage from generation to generation. Pantun, syair and gurindam twelve contain character values for oneself, character values for family, and character education for society. This thinking explains that humans are said to have good character if they apply in the form of thoughts, feelings, traits, attitudes, character, words and or behavior that reflect the values of these characters towards themselves, their families, and society in life. The purpose of this research is the inheritance of indigenous learning traditions of pantun, syair, and gurindam as language etiquette in the Malay community of Penyengat Island.
Braving Bitcoin: A Technology Acceptance Model Analysis

The Technology Acceptance Model (TAM) is an important analysis tool in the study of the social mechanisms of technology adoption, and has received considerable attention and study in the literature. Though empirical support for the model has varied depending on situation specifics, it remains a popular and useful conceptual framework for analysis of factors contributing to technology acceptance or rejection by the relevant constituencies. In this paper we use the TAM framework to analyze aspects of the technology acceptance process in the case of Bitcoin. Bitcoin is an entirely digital distributed currency whose disruptive and disintermediating nature has fueled the tremendous growth of the financial technology space over the past few years. Bitcoin's distributed, verifiable, and immutable public transaction ledger, the "blockchain", holds out the promise of fast, cheap, peer-to-peer financial transactions, as well as significant efficiencies in the transfer of other assets via overlay networks. In this study, we break down, describe, and analyze the various factors affecting the past and future adoption curve for Bitcoin in the context of the Technology Acceptance Model.