Miracle-dz/UniFAR-FTUs huggingface dataset:
Organisational Culture and its Impact on Employee Performance (A Study with Reference to IT Sector Chennai)

Organisational culture is a complex phenomenon and is formed in diversity of ways, it might initiate from the challenge and obstacles that organisation features, it may perhaps be an intentional creation of the management and employees working in the organisation culture. Culture of the organization is somewhat that can predominantly ground the performance of the employees in the workplace. The main purpose of this article is to study the different types of cultures in an organisation and to study the relationship between organizational culture and organizational performance. Descriptive research design was adopted in this study. Totally 230 IT employees has respondents were selected to fill the questionnaire for this study. Findings of this study are only related to the IT employees from Chennai.
TRI-AXIAL ACCELEROMETER USAGE IN PEDAGOGICAL PROCESS IN CZECHELEMENTARY SCHOOL

Hypoactivity and sedentary lifestyle are pandemic problems across all population groups and regions. The objective is to describe current trend of physical activity (PA) and to integrate motivational factors to everyday life. The aim of the study is to find, discover or establish algorithm how to evaluate PA characteristics and give pupils, their parents, and their teachers a fast feedback about daily PA by using modern digital technologies. We designed a method that can provide well-timed information about the activity of a child, which is useful especially for their parents to help them prevent children from negative impacts of PA insufficiency. The method also provides data that can help the pedagogical process to be more active and to change stereotypes in schoolchild behaviour. The research is focused on pupils at the age of 7 – 9 years and the method will be used in a post-doctoral project to collect data from elementary schools in the Czech Republic.
On the nature of implicit causality and consequentiality: the case of psychological verbs

ABSTRACT Implicit Causality (I-Caus) and Implicit Consequentiality (I-Cons) biases (Peter annoyed Mary because/and so …) have been argued to be rooted in the argument structure properties of verbs. In particular, the mirror coreference biases displayed by stimulus-experiencer and experiencer-stimulus predicates have been considered strong evidence for this approach. We provide evidence for the Asymmetry Hypothesis, stating that I-Caus and I-Cons are derived from different mechanisms. While we also assume that I-Caus is driven by verb semantics, we contend that I-Cons follows from general discourse-structural principles. Evidence is provided by four production experiments in German investigating the coreference and coherence properties of the aforementioned verb classes in detail. Experiment 1 establishes that the classes mirror each other with respect to coreference biases. Experiments 2 and 3 show, however, that there is no such symmetry with regard to coherence biases. Finally, Experiment 4 provides fine-grained evidence for the underlying strategies for providing contingency specifications.
Automated Classification of Sleep Stages Using Single-Channel EEG: A Machine Learning-Based Method

The main contribution of this paper is to present a novel approach for classifying the sleep stages based on optimal feature selection with ensemble learning stacking model using single-channel EEG signals.To find the suitable features from extracted feature vector, we obtained the ReliefF (ReF), Fisher Score (FS) and Online Stream Feature Selection (OSFS) selection algorithms.The proposed research work was performed on two different subgroups of sleep data of ISRUC-Sleep dataset. The experimental results of the proposed methodology signify that single-channel of EEG signal superior to other machine learning classification models with overall accuracies of 97.93%, 97%, and 95.96% using ISRUC-Sleep subgroup-I (SG-I) data and similarly the proposed model achieved an overall accuracies of 98.16%, 98.78%, and 95.26% using ISRUC-Sleep subgroup-III (SG-III) data with FS, ReF and OSFS respectively.
Transcriptomic signals of mitochondrial dysfunction and OXPHOS dynamics in fast-growth chicken

Introduction Birds are equipped with unique evolutionary adaptations to counter oxidative stress. Studies suggest that lifespan is inversely correlated with oxidative damage in birds. Mitochondrial function and performance are critical for cellular homeostasis, but the age-related patterns of mitochondrial gene expression and oxidative phosphorylation (OXPHOS) in birds are not fully understood. The domestic chicken is an excellent model to understand aging in birds; modern chickens are selected for rapid growth and high fecundity and oxidative stress is a recurring feature in chicken. Comparing fast- and slow-growing chicken phenotypes provides us an opportunity to disentangle the nexus of oxidative homeostasis, growth rate, and age in birds. Methods and Results We compared pectoralis muscle gene expression patterns between a fast and a slow-growing chicken breed at 11 and 42 days old. Using RNAseq analyses, we found that mitochondrial dysfunction and reduced oxidative phosphorylation are major features of fast-growth breast muscle, compared to the slow-growing heritage breed. We found transcriptomic evidence of reduced OXPHOS performance in young fast-growth broilers, which declined further by 42 days. Discussion OXPHOS performance declines are a common feature of aging. Sirtuin signaling and NRF2 dependent oxidative stress responses support the progression of oxidative damage in fast-growth chicken. Our gene expression datasets showed that fast growth in early life places immense stress on oxidative performance, and rapid growth overwhelms the OXPHOS system. In summary, our study suggests constraints on oxidative capacity to sustain fast growth at high metabolic rates, such as those exhibited by modern broilers.
Solid‐State Iontronic Devices: Mechanisms and Applications

Iontronics is a newly emerging interdisciplinary concept that studies the science and technology of electronic‐ionic coupled properties/functions, endowing the devices with new functions and properties by coupling the advantages of electrons and ions. Solid‐state iontronics, one of the most important branches of iontronics, refers to the iontronic devices that work in solid‐state environments, which attracts particular attention due to its overwhelming advantages, for example, the enhanced thermal/mechanical/electrochemical stability. Herein, the interesting ion‐involved working principles of various solid‐state iontronic devices, including energy storage, electromechanics, electrochromism, electroluminescence, and conductance switching, are reviewed. Meanwhile, the perspectives on developing multifunctional integrated iontronic devices and molecular iontronic devices are also addressed, aiming to meet the growing demands for next‐generation intellectual products. We believe that this review can encourage further exploration in this exciting research field.
Poor Management Skills: “A Contributing Factor to High Turnover Rate in Nursing Homes”

Undeniably, long-term healthcare facilities have been linked to having high turnover rates and this, in turn, hurts the company’s resources and the quality of care for senior citizens. Stabilizing the workforce and updating training standards are imperative to reforming long-term healthcare facilities and support systems in the United States. This retrospective quantitative study aims to analyze if there are connections between employee turnover and poor organizational skills in nursing homes. Employees of concern are caregivers employed in the homecare industry in various parts of the USA. Further analysis of several materials implied that there is a negative link between employee turnover and poor management skills. Moreover, an increase in turnover rate impacts the organization in different ways as the organization loses the expertise of experienced employees and its reputation in the community. The conclusion of this study suggested that managers must switch leadership styles to create a conducive environment for employees which will lead to plummeting figures in caregiver turnover rates, which will ultimately stabilize the physical well-being of residents.
Research on Fire Extinguishing Shell Material Selection and Parameters Optimization

Remote grenade is often used to fight. Fire extinguishing shell material selection and structure parameters have a great influence on fire extinguishing dispersion and even directly determine the extinguishing effect. Taking the crown fire of Mongolica 20 years old as example, the influences of fire extinguishing bombs with different shell materials on fire extinguishing dispersion are compared in this paper. Simulation of fire extinguishing bombs with different shell materials is operated by finite elements software and come to a conclusion that unidirectional short fiber reinforced composite materials is suitable for fire extinguishing bomb shell because of less power consumption and longer dispersion distance when shell bursting. In the meantime, the experiment is carried out on the sample of fire extinguishing bomb with the shell of unidirectional short fibers. The conclusion is length-diameter ratio to put plant crown fire out has better fire control effect than fire extinguishing bomb with 1.5% powder and save the use of extinguishant.
BIO-INSPIRED MULTIPLE SCALES PLACE RECOGNITION FOR ELECTRIC SUBSTATIONS

Abstract. We could get many helpful information and results from satellite remote sensing images and aerial images, including disaster monitoring, grid hidden danger identification, and electricity consumption management. In the recent years, novel computer vision and deep neural network have got a lot of attention in many fields because of mimicking mammalian cognitive mechanism as much as possible. With the in-depth of mammalian cognitive and motor mechanisms research, people trend to adopt these reliable and efficient methods for power grid management and maintenance.For utilizing computing resources and improving analysing efficiency flexibly, we propose an assessing and verification framework based on bio-inspired perception and understanding, which summarizes the most appropriate image scale in the electric facilities place recognition. The proposed framework consists of different scenes aerial images datasets, several electric facilities place recognition methods, and credible evaluating methods mimicking mammals. Firstly, we gather satellite remote images and aerial images of sufficient electric power facilities in the United States via Google Earth and other public datasets. Then, several typical place recognition methods are adopted to testing recognition ability of multi-scale perception results, like SAD, NetVLAD, and GIST descriptor. To get more reliable result, multi-units and multi-scenes experiments are implemented roundly. After all experiments and evaluations, we could get that the most appropriate image scale is 1000 m size and the highest recognition accuracy of electric power facilities location is 500 m. Conclusion in our article shows the recommended perception form and scale closest to human cognition in the power grid management and maintenance.
Training entrepreneurship at a French grande école: The Projet Entreprendre at the ESC rouen

In response to an identified information need about entrepreneurial teaching methods employed in the European higher education system, aims to investigate whether this type of experimentation could make a difference - an activity traditionally considered individualistic within a collectivist society - and, second, to evaluate the project in terms of its appropriateness. Design/methodology/approach - Examines an innovative case of entrepreneurship teaching at a French grande ecole, the ESC Rouen. In line with the purpose of this investigation a number of interviews were conducted with the project manager, the students' opinion was sought and a questionnaire survey was carried out among the participants. In addition, the author herself has been actively involved as a teacher and tutor for entrepreneurial projects. Findings - Finds that an entrepreneurial project such as the one presented here can indeed make a difference in creating a societal acceptance for entrepreneurial activity. Engages a large number of students in activities which range from creative thinking and practical activities such as conducting market surveys and researching potential competitors to developing communication skills vis-d-vis their fellow group mates. Highlights that there are significant barriers to entrepreneurship and enterprise creation in France. Research limitations/implications - Concludes that, although the Projet Entreprendre has not yet led to any enterprise creation at the management school, it could be an appropriate pedagogical tool in line with present government aims and objectives. Suggests that the entrepreneurial project is of particular interest as it is one of the rare instances that such a project within a French grande ecole environment is being discussed. Practical implications - A very useful source of information and reference point for entrepreneurial projects.
A High-Performance Energy-Balanced Forwarding Strategy for Wireless Sensor Networks

The wireless sensor network (WSN) is composed of several sensor nodes organized by multi-hop self-organization, which is a typical network for the industrial internet in industrial application. However, the energy using and processing capacity of each node are greatly limited. Therefore, it is of great significance to study energy-saving and efficient communication protocols for WSN. To prolong the lifetime of WSN and improve network throughput, a high throughput routing protocol with balanced energy consumption is proposed. The designed protocol first employs the K-means clustering algorithm to cluster the nodes, then calculates the weights based on the residual energy of and distance between the nodes, and finally selects the best node as the cluster head. Moreover, the optimal size of the package is determined by the parameters of the wireless transceiver and the channel conditions. In the data transmission stage, the Dijkstra algorithm is used to calculate the multi-objective weight function as the link cost. Experimental results demonstrate the superior performance of the proposed protocol over the CERP and TEEN routing protocols in terms of energy saving of network nodes, so as to improve the throughput and survival time of the entire system.
A novel high-speed CMOS circuit based on a gang of capacitors

ABSTRACT There is no doubt that complementary metal-oxide semiconductor (CMOS) circuits with wide fan-in suffers from the relatively sluggish operation. In this paper, a circuit that contains a gang of capacitors sharing their charge with each other is proposed as an alternative to long N-channel MOS and P-channel MOS stacks. The proposed scheme is investigated quantitatively and verified by simulation using the 45-nm CMOS technology with VDD = 1 V. The time delay, area and power consumption of the proposed scheme are investigated and compared with the conventional static CMOS logic circuit. It is verified that the proposed scheme achieves 52% saving in the average propagation delay for eight inputs and that it has a smaller area compared to the conventional CMOS logic when the number of inputs exceeds three and a smaller power consumption for a number of inputs exceeding two. The impacts of process variations, component mismatches and technology scaling on the proposed scheme are also investigated.
of T Cell-Mediated Autoimmunity IL-6 Signaling Is Obligate for the Induction To Drive Local Immune Responses, Classical -Signaling Is Sufficient Trans Although IL-6

IL-6–mediated T cell-driven immune responses are associated with signaling occurring through the membrane-bound cognate receptor a -chain (mIL-6R a ). Once formed, IL-6–mIL-6R a complexes induce the homodimerization and subsequent phosphor-ylation of the ubiquitously expressed signal-transducing protein, gp130. This signaling event is deﬁned as classical IL-6 signaling. However, many inﬂammatory processes assigned to IL-6 may be mediated via binding a naturally occurring soluble IL-6R a , which forms an agonistic complex (IL-6/soluble IL-6R a ) capable of evoking responses on a wide range of cell types that lack mIL-6R a (IL-6 trans -signaling). To dissect the differential contribution of the two IL-6 signaling pathways in cell-mediated inﬂammatory processes, we pharmaceutically targeted each using two murine models of human arthritis. Whereas intra-articular neutralization of trans -signaling attenuated local inﬂammatory responses, the classical pathway was found to be obligate and sufﬁcient to induce pathogenic T cells and humoral responses, leading to systemic disease. Our data illustrate that mechanisms occurring in the secondary lymphoid organs underlying arthropathies are mediated via the classical pathway of IL-6 signaling, whereas trans -signaling contributes only at the local site, that is, in the affected tissues. The Journal of Immunology , 2010, 185: 5512–5521.
Die Wende zu mehr Praxis in der US-amerikanischen Lehrerinnen- und Lehrerbildung

Dieser Beitrag diskutiert den derzeitigen Fokus auf die Praxis in der US-amerikanischen Lehrerinnen- und Lehrerbildung. Nach einer Übersicht zum aktuellen Stand und einer Diskussion der fortdauernden Probleme in der berufspraktischen Ausbildung werden jüngste Anstrengungen von Früheinsteiger-, universitären und hybriden Programmen zur Verbesserung der berufspraktischen Ausbildung diskutiert. Der Beitrag schliesst mit einer Einschätzung zukünftiger Lehrerinnen- und Lehrerbildung in den USA. Die drei Ansätze werden eingebettet in den gegenwärtigen politisch-ökonomischen Kontext der Lehrerinnen- und Lehrerbildung, der Investitionen in nicht universitäre Lehrerinnen- und Lehrerbildungsprogramme begünstigt zulasten der Budgets öffentlicher Hochschulen, die die meisten US-Lehrpersonen ausbilden. Es wird ausserdem vor einer unkritischen Verherrlichung von Praxis gewarnt, die nicht nach jenen Formen berufspraktischer Felderfahrung sucht, die am ehesten die erwünschten Wirkungen versprechen.
Audience engagement and monetisation of creative content in digital environments: a creative SME perspective

Creative SMEs face a number of limitations that can hamper their ability to develop and establish original content in digital environments. These limitations include a lack of resources, struggles for visibility, limits of engagement, audience pressures and free culture. The constant pressures from growing competition and fragmented audiences across digital environments amplify these limitations, which means SMEs can struggle in these highly competitive, information rich platforms. Research sought to explore how creative SMEs may circumvent these limitations to strengthen their positioning in digital environments. Two areas of focus are proposed to address these issues; firstly a study and development of audience engagement, and secondly an analysis of the monetisation options available for digital content and their links to engagement. With a focus on audience engagement the theoretical grounding of this work is based within the engagement literature. Through this work a new Dynamic Shaping of Engagement is developed and used as a foundation of analysis, which informs the development of practical work in this study. Findings present insight into the methods and practices that can help creative SMEs circumvent their limitations and strengthen their positioning within digital environments. However, the findings continue to emphasise the difficulties faced by creative SMEs. These companies are hampered by paradoxes that arise due to their resource limitations that limit their ability to gain finances, develop audiences and produce content. It is shown that those with the ‘key’ to audience attention are the ones best positioned to succeed in these environments, often at the expense of the original content creators themselves. Therefore, visions of a democratic environment, which levels the playing field for SMEs to compete, are diminished and it is argued digital environments may act to amplify the positioning of established media. Therefore, greater support is required to aid these companies, which must look beyond short-term solutions that focus on one-off projects, towards broader, more long-term support. This support can then enhance creative SMEs ability to not only deliver, but also establish and potentially monetise content in digital environments, which in turn can make continued production more sustainable.
High Precision On‐Line Offset Correction for Motor Angle Sensors

In this paper, an angle detecting system is proposed that calculates the offset correction values for the sine and cosine signals of angle sensors. The offset correction values are calculated not from the offset errors of the sine and cosine signals but from the 1f angle error (the fundamental frequency component of the sine and cosine signals) of the angle signals. Therefore, the system can correct the 1f angle error even when the sine and cosine signals contain the double‐frequency components of the sine and cosine signals, as well as the dc offset errors. Moreover, it is possible to use low‐cost microcomputers with low computing speed, because the offset correction values are dc quantities.
Green Finance: Recent developments, characteristics and important actors

Various so-called green investments are intended to limit the warming of the earth's climate, thus minimizing social, environmental and economic damage. The article introduces into the corresponding research field of Green Finance by providing current data, by showing historical developments, and by forecasting future tasks. Further, the article depicts the major difficulties of research on Green Finance; particularly rapid technological progress, the dependence of governmental support, high uncertainties, and, especially the interactions of so many actors. Finally, the article gives a short review on the research field of Green Finance.
Energy consumption reduction in a waste water treatment plant

Against the background of energy transition, the operators of large municipal WWTPs have come to understand the importance of issues related to energy use. Since about 2000, one such operator in the Paris conurbation, Syndicat Interdepartemental pour l9Assainissement de l9Agglomeration Parisienne, has set up actions enabling energy consumption optimization, to reduce both its costs and the associated environmental impacts. Using energy (electricity, gas, fuel, and biogas) meters for sectorial recording, consumption has been mapped at various scales (macroscopic, plant, process). Electric power has emerged as the leading energy source in WWTPs and biological treatment processes (aeration) as the main consumers. On this basis, energy use optimization paths have been described, needing action at three levels. First, operating cost optimization should involve the full treatment chain, including all costs (reagents, etc.), to make the best operating choices. Two further levels, comprising process and equipment, should then be considered to determine suitable action sets.