Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact and benefits of distributed wind generation on quality and security in the case of the Cretan EPS

During the last five years substantial growth in wind generation took place in the autonomous Electric Power System (EPS) of Crete. The high penetration of wind power resulted in benefits while in the beginning it brought about numerous operational problems. There was a difficult period during 1999-2000. There were observed incidents of swings in wind generation due to sudden wind speed variations. There was little tolerance in the voltage deviations and the frequency deviations affecting the wind farms. Most system faults and transients caused problems in the wind farm operation. A total blackout of the system was experienced in 2001 (with a 7-hr restoration period) for which the wind farms contributed because of their low tolerance in under-frequency. There have been also serious communication problems between the dispersed wind generation and the system control center. A brief but concise presentation of the system and related operational problems is made and an analysis resulting in useful conclusions.
In Vitro Alpha-Amylase Enzyme Assay of Hydroalcoholic Polyherbal Extract: Proof of Concept for the Development of Polyherbal Teabag Formulation for the Treatment of Diabetes

For the treatment and maintenance of postprandial blood glucose increases (i.e., diabetes mellitus), alpha (α)-amylase is a well-known therapeutic target. In this paper, we report an initial exploration of the work, i.e., in vitro alpha-amylase activity of the hydroalcoholic polyherbal extract of the selected plants. After drying, the plant material is ground individually, and at least 100 gm of the crude powder is prepared from each plant. 100 gm of each plant was combined, and a total of 500 gm of the crude powder (Ichnocarpus frutescens (100 gm) + Ficus dalhousie (100 gm) + Crateva magna (100 gm) + Alpinia galangal (100 gm) + Swertia chirata (100 gm)) was prepared to carry out the extraction. This obtained extract was subjected to preliminary phytochemical screening and in vitro alpha-amylase activity. At 16 mg/mL, acarbose displayed 78.40 ± 0.36% inhibition, whereas the extract exhibited 72.96 ± 0.70% inhibition, which is significantly comparable. The IC50 value of acarbose was 12.9 ± 1.12, whereas the extract exhibited 13.31 ± 1.12 mg/mL. The extract possesses numerous classes of chemicals such as alkaloids, glycosides, tannins, polyphenols, and terpenoids, which can contribute to the antidiabetic activity through alpha-amylase inhibition. This was an initial exploration of the work as a proof of concept for the development of polyherbal tea bag formulation for the treatment of diabetes. In the future, we are aiming to investigate the effectiveness of polyherbal tea bags in the treatment of diabetes using more in vitro and in vivo models. From the present investigation, we have concluded that this extract can be used for the treatment of diabetes.
An assessment of benzene genotoxicity : DNA adduct formation and its consequence

An Assessment of Benzene Genotoxicity: DNA Adduct Formation and its Consequence by Margaret Gaskell Benzene is a recognised human leukaemogen and rodent carcinogen, with exposure occurring from both environmental and occupational sources. The mechanism by which benzene exerts these effects is unknown and it was proposed that among other mechanisms, DNA adducts may play a role. The aim of this study was to develop sensitive methods for the analysis of benzeneDNA adducts from benzene-exposed individuals and determine the consequence of such DNA adducts using the supF mutation assay. Benzene-DNA adduct standards, which included a novel DNA adduct characterised and identified as (3”, 4”-dihydroxy)-l, A2-benzetheno-2’-deoxyguanosine 3’-monophosphate, were synthesised and TLC and HPLC systems were developed for the analysis of these adducts following 32P-postlabelling. Attempts were also made to produce an antibody to A2-(4-hydroxyphenyl)-2’-deoxyguanosine 3’-monophosphate, the only benzene-DNA adduct so far identified following in vivo exposure, to be used in an enrichment step prior to 32P-postlabelling. The benzene-DNA adducts formed by the benzene metabolite /? ara-benzoquinone (p-BQ) and the damage induced by hydroquinone (HQ) were assessed for their mutagenic potential in repair proficient and deficient cell lines. Both treatments proved to be mutagenic with base substitution mutations predominating in each case. The majority of mutations following treatment with /? -BQ were GC—>TA transversions and GC—»AT transitions, for HQ treatment GC-»AT transitions predominated, for all cell lines investigated. 7̂ Application of the P-postlabelling assay to the analysis of lymphocyte DNA from petroleum refinery workers resulted in no detectable benzene-DNA adducts, a possible reflection on the low benzene exposure (<2 ppm), the use of an inappropriate surrogate tissue or the detection limit of the assay. Further work in regard to improvement of the assay’s sensitivity and selectivity would be necessary prior to any further analysis. The results from the mutation assay indicated that HQ may be the ultimate toxic metabolite, inducing the chromosomal aberrations observed in benzene exposed individuals. Dedicated to the memory o f my dad
Perceived Safety and Acceptance of Robot-to-Human Communication
 Interface Modalities during Varying Human-Robot Interactions

Collaborative robots are increasingly used in domestic, public, and industrial settings. This study investigated the human user ' s safety perception and acceptance of robots that use different modalities to communicate with users. A survey study was conducted to compare potential robot users' perceived safety and acceptance of three robot-to-human communication modalities, including visual display, visual light, and auditory beep. The results showed that the perceived safety of a robot is associated with the user's acceptance of the robot, suggesting that if human users feel safer around a robot, they are more likely to use it. Among the three interface modalities, participants showed higher perceived safety and acceptance for the robots using visual modalities than the auditory modality. Furthermore, this study examined whether the perceived safety and acceptance of the three modalities differ when human users interact with robots in different contexts. Our results also showed that perceived safety and acceptance for visual display were lower for an industrial robot than a home service robot. The levels of robot autonomy and severity of risks involving a robot did not have significant impacts on the perceived safety and acceptance of the three modalities. Our findings suggest that the design of robot-to-human communication is vital as it is related to users' perceived safety and acceptance, and the users' perception and acceptance of a robot communication modality may vary when interactions with a robot change.
Role of supplemental oligosaccharides in poultry diets

SUMMARY Commercial application of oligosaccharides in poultry diets as alternatives to antibiotics has increased in recent years. The primary oligosaccharides used in poultry diets are xylo-oligosaccharides (XOS), fructo-oligosaccharides (FOS), mannan-oligosaccharides (MOS) and galacto-oligosaccharides (GOS). Oligosaccharides are produced by enzymatic hydrolysis of polysaccharides, or direct extraction from plant materials. Numerous research trials have examined the effects of oligosaccharide supplementation on both broiler and laying hen performance and health, with supplementation levels ranging from 2 mg/kg to 20,000 mg/kg. Positive effects of oligosaccharides include improved nutrient digestibility, intestinal health morphology, immune responses, and relative abundance of gut microbiome populations, which translate into improvements in production performance. However, some studies present a lack of positive effects of oligosaccharides. This absence of consistency between studies appears to be attributable to the fibre content and composition of the test diets. Additionally, application of non-starch polysaccharide-degrading enzymes into poultry diets generates oligosaccharides in the birds’ gastrointestinal tract, but bird responses to these enzymes are inconsistent. This suggests that it may be more beneficial to supplement oligosaccharides directly into the diet than to rely on in situ manufacture by the bird. Feeding combinations of oligosaccharides with enzymes or probiotics has been shown to have positive synergistic effects, but there is a scarcity of data in this area, particularly in laying hens. This review examines recent research in oligosaccharide application in broiler and laying hen diets, and identifies areas in this field that warrant further investigation.
Scheduling Algorithms for 5G Networks and Beyond: Classification and Survey

Over the years, several research groups have been developing effective and efficient scheduling algorithms to enhance the quality of service of mobile communication networks. The arrival of the fifth generation of mobile networks (5G) has demonstrated the importance of advanced scheduling techniques to manage the limited frequency spectrum available while achieving 5G transmission requirements. This issue has been picked up extensively within the research community due to the increasing demand for mobile communications and the desire for a fully connected world. Consequently, the scientific community has developed novel approaches and varied scheduling schemes to meet the needs of various applications and scenario conditions. In this context, this paper presents an overview of the state-of-the-art methods, highlights seminal and innovative research, and investigates the current state of 5G radio resource management. This review of literature compares emerging strategy methods based on their metrics, analyzes their performances, and emphasizes the existing works with a vision for the future of modern 5G and upcoming networks in terms of radio resource allocation to provide a thorough introspection of the literature. Furthermore, gaining a better understanding of the radio resource management state-of-the-art would provide valuable information for future work and might be helpful for new researchers in the field.
Emerging Roles of Green-Synthesized Chalcogen and Chalcogenide Nanoparticles in Cancer Theranostics

The last few decades have seen an overwhelming increase in the amount of research carried out on the use of inorganic nanoparticles. More fascinating is the tremendous progress made in the use of chalcogen and chalcogenide nanoparticles in cancer theranostics. These nanomaterials, which were initially synthesized through chemical methods, have now been efficiently produced using different plant materials. The paradigm shift towards the biogenic route of nanoparticle synthesis stems from its superior advantages of biosafety, eco-friendliness, and simplicity, among others. Despite a large number of reviews available on inorganic nanoparticle synthesis through green chemistry, there is currently a dearth of information on the green synthesis of chalcogens and chalcogenides for cancer research. Nanoformulations involving chalcogens such as sulfur, selenium, and tellurium and their respective chalcogenides have recently emerged as promising tools in cancer therapeutics and diagnosis. Similar to other inorganic nanoparticles, chalcogens and chalcogenides have been synthesized using plant extracts and their purified biomolecules. In this review, we provide an up-to-date discussion of the recent progress that has been made in the plant-mediated synthesis of chalcogens and chalcogenides with a special focus on their application in cancer theranostics.
Representation of Cultural Role-Play for Training

The Department of Defense (000) has successfully applied a number of methods for cultural familiarization training ranging from stand-up classroom training, to face-to-face live role-play, to so-called smart-cards. Recent interest has turned to the use of single and mUlti-player gaming technologies to augment these traditional methods of cultural familiarization. One such system, termed CulturePad, has been designed as a game-based role-play environment suitable for use in training and experimentation involving cultural roleplay scenarios. This paper describes the initial CulturePad effort focused on a literature review regarding the use of role-play for cultural training and a feasibility assessment of using a game-mediated environment for role-play. A small-scale pilot involving cultural experts was conducted to collect qualitative behavioral data comparing live role-play to game-mediated role-play in a multiplayer gaming engine.
Global Software and IT: A Guide to Distributed Development, Projects, and Outsourcing

Global software engineering, implying both internal and outsourced development, is a fast-growing scenario within industry; the growth rates in some sectors are more than 20% per year. However, half of all offshoring activities are cancelled within the first 2 years, at tremendous unanticipated cost to the organization.This book will provide a more balanced framework for planning global development, covering topics such as managing people in distributed sites, managing a project across locations, mitigating the risk of offshoring, processes for global development, practical outsourcing guidelines, collaboration, and communication. Drawing on the author's vast experience, it shares best practices and survival strategies from projects of various types and sizes that involve different continents and diverse cultures.
Job Demands-job Resources and Organizational Trust: Mediation Role of Employee Engagement, Psychological Well-being, and Transformational Leadership

This study aims to determine the relationship of job demands and job resources with organizational trust through employee engagement, psychological well-being, and transformational leadership. This study involved 235 participants from Dr. Moewardi Regional Public Hospital and Universitas Sebelas Maret Hospital in Surakarta, uses a quantitative approach with convenience sampling technique by considering the risk level of being exposed to COVID-19. Data is collected by an online survey using google form questionnaire. Using SEM PLS analysis, this study finds that job demands has a significant and negative relationship with employee engagement and psychological well-being. Job resources has a significant and positive relationship with employee engagement and psychological well-being. Employee engagement has a significant and positive relationship with organizational trust. There are mediating effects of psychological well-being and transformational leadership on the relationship of employee engagement and organizational trust. Future studies are recommended to add moderating variables such as age, gender, and working period so that the research expected to reveal a more in-depth aspects of organizational trust in a comprehensive manner.
Rethinking Information Systems Projects Using Actor‐Network Theory: A Case of Malawi

Organisations invest heavily in Information Systems (IS) projects in the hope of realising business benefits. Yet reports persist of IS projects that all too often fail. Efforts to rescue the situation have so far yielded unsatisfactory results. A number of calls have hence been made to rethink and deepen understanding of IS project management practice. The purpose of this study is to contribute towards this rethink by exploring and describing the as‐lived experiences of stakeholders in IS projects. A case study approach was adopted wherein in‐depth analysis was carried out on an IS project executed in Malawi. Using a developing country such as Malawi as empirical source is novel, as much of the research on IS project management emanates from the developed world. Yet IS project failure is endemic in all contexts. Data was collected and analysed qualitatively using Actor‐Network Theory (ANT) as the lens of enquiry. Key findings were that (1) starting up an IS project is neither simple nor straightforward; it is lengthy and winding; (2) project objectives need not be “cast in stone”, as they may be subject to negotiations as key stakeholders are brought in; (3) project success is achieved only when stakeholder interests are strongly interwoven in the project need; (4) involving operational system end users was oddly not seen as critical in the case, and (5) the experience of the project manager will determine the extent to which formal methodologies are rigidly followed in the project. The use of an ANT lens provides for a deeper understanding of IS project processes and outcomes.
An Ensemble Clustering Framework Based on Hierarchical Clustering Ensemble Selection and Clusters Clustering

Abstract Ensemble clustering combines the results of multiple individual clustering methods for better results. Basically, all available clustering methods can be combined to produce final clusters. However, selecting a subset of optimal methods can reduce the complexity and increase the efficiency of ensemble clustering methods. This article examines the problem of selecting individual clustering methods to produce an ensemble hierarchical clustering method. Hierarchical clustering is a technique for grouping data at different scales by creating dendrograms. The aim is to select a subset of individual hierarchical clustering methods considering diversity and quality that can create an ensemble clustering method with minimal complexity. The proposed method consists of three main phases. The selection of a subset of individual hierarchical clustering methods is done in the first phase. In the second phase, the results of the selected clusters are re-clustered to create super-clusters. Super-clusters can combine clustering knowledge of different methods into one clustering form. Finally, the final clusters are formed by assigning each sample to a super-cluster with the shortest distance in the third phase. Experimental results on several datasets from the University of California Irvine (UCI) repository show that the proposed method performs better than the state-of-the-art algorithms.
Wearable human–machine interface based on PVDF piezoelectric sensor

Flexible and stretchable electronics technologies have been attracting increasing attention owing to their potential applications in personal consumed electronics, wearable human–machine interfaces (HMI) and the Internet of Things (IoTs). This paper proposes an HMI based on a polyvinylidene difluoride (PVDF) sensor and laminated it onto the surface of the skin for signal classification and controlling the motion of a mobile robot. The PVDF sensor with ultra-thin stretchable substrate can make conformal contact with the surface of the skin for more accurate measurement of the electrophysiological signal and to provide more accurate control of the actuators. Microelectro-mechanical system (MEMS) technologies and transfer printing processes are adopted for fabrication of the epidermal PVDF sensor. Sensors placed on two wrists would generate two different signals with the fist clenched and loosened. It can be classified into four signals with a combination of the signals from both wrists, i.e. four control modes. Experiments demonstrated that PVDF sensors may be used as an HMI to control the motion of a mobile robot remotely.
A decision-support tool for managing storm-damaged forests

Based on the results of research and on the experience gained after the storm Vivian, the Swiss Forest Agency has developed a decision-support tool for managing windthrow in mountain forests. It helps to reach a transparent, replicable decision as to whether, on a specific windthrow area, the fallen timber should be harvested or left. Our present knowledge of the relevant criteria, such as hazardous natural events, forest damage, forest management, nature conservation, social aspects, costs and profitability, is compiled. For each criterion, a list of possible arguments supporting either harvesting or leaving the fallen timber on the ground is given. All the issues relevant to the specific windthrow area are recorded and evaluated in a checklist, which provides a visual impression of the pros and cons of the final decision.
Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System

Breast cancer (BC) seriously threatens women’s health. The establishment of a risk evaluation model cancer is conducive to early screening and prevention of BC. In this article, a new method of the evaluation and the framework of prevention for BC are proposed by synthesizing interval type-2 fuzzy sets (IT2 FSs), two-level fuzzy comprehensive evaluation, and parallel control (Artificial societies, Computational experiments, and Parallel execution, ACP). At the same time, 12 risk factors were selected as indicators to evaluate the risk level of BC, and then, according to the evaluation results, the correspondingly prevention strategies and intervention measures for different risk levels were discussed. Then, the prevention strategies are analyzed and selected in the computational experiment module of the artificial system, and the patient indexes are monitored in real time by the parallel mechanism between the actual and the artificial system, to feedback, adjust, and optimize the prevention scheme in time. This parallel BC prevention process can achieve dynamic closed-loop control effects. A new effective way for BC prevention was presented, which is of great significance for reducing its incidence rate and developing new medical means.
Optimization of the frequency averaged input power into plates with dynamic vibration absorbers using the Wave Based Method

When it comes to the vibro-acoustic analysis of panels there is a strong interest in reducing the radiated sound power which can be effectively dec reased by minimizing the power injected into the plate. In this paper, a thin plate with Dynam ic Vibration Absorbers (DVA) attached to it, is considered and optimized in order to reduc e the average input power injected. Instead of classic numerical quadrature schemes, the resid u theorem is used to evaluate the average input power over a frequency band. This results into a c nsiderable reduction of computational efforts, as it requires only few function evalua tions at complex frequencies, regardless of the bandwidth considered. Properties and location of the D VAs are chosen as design variables to minimize the average power injected into the plate by using genetic algorithms. The dynamic system behaviour is simulated by using the Wave Base d Method (WBM). Next to an increased convergence rate as compared to classical elemen t based techniques, the WBM is also free in determining the optimal position of the DVAs unl ike the element based approaches, which restrict the optimum position to nodal grid locations. Moreover, when point connections are taken into account, only a small part of the WB system matr ices needs to be recomputed at each iteration, resulting in a strong reduction of the compu tational effort. Numerical examples illustrate the benefits and the efficiency of the proposed opt imization strategy. R. D’Amico, K. Koo, C.C. Claeys, B. Pluymers, W. Desmet