Miracle-dz/UniFAR-FTUs huggingface dataset:
Revocable IBE Scheme for Efficient Identity Based Encryption on Cloud Infrastructure

Efficient revocation remains well examined in traditional PKI setting, nevertheless the cumbersome control of certificates is just the duty that IBE strives to help relieve. Inside this paper, striving at tackling the critical issue of identity revocation, we introduce outsourcing computation into IBE for the first a serious amounts of propose a revocable IBE plan inside the server-aided setting. Identity-Based File encryption (IBE) which simplifies everyone key and certificate management at Public Key Infrastructure(PKI) is a crucial choice to public key file encryption. However, the very best efficiency drawbacks of IBE could be the overhead computation at Private Key Generator (PKG) during user revocation. Our plan offloads most of the key generation related techniques during key-giving and key-update techniques obtaining a vital Update Cloud Company, departing just a ongoing amount of simple methods for PKG and clients to complete your geographical area. Finally, we provide extensive experimental results in exhibit the efficiency within our recommended construction. This goal is accomplished obtaining a manuscript collusion-resistant technique: we utilize a hybrid private key for each user, through which an AND gate is involved for linking and bound the identity component together with time component. Additionally, we use Triple DES algorithm for providing security to the documents that are stored in the cloud because the cloud service provider(KU-CSP) is not a trusted one.
The International Review of Financial Consumers

Mutuality is the oldest social movement on French soil as the first mutual support groups were founded just before the French Revolution at the end of the 18th century, that is half a century before the first cooperatives and one century before workers’ unions. The tremendous development that the mutuality underwent in the second half of the 20th century in France, especially in the non-life insurance market where it was not a real actor until then, attracted the attention of professionals the world over. It is a reference that is even contemplated in the Islamic World where it could serve as a model for Takaful, and in developing countries where it could be adapted to micro-insurance. Beyond their importance in the French insurance markets, both non-life and life mutuals insurance play an important role in European economy and society, providing social coverage and other types of insurance to a significant proportion of European citizens. Some have questioned whether the liberal inspired European legal environment might threaten the future growth of mutual in the 21st century, or even the existing market shares, for a model that has proven efficient not only in its initial domain healthcare, but also in non-life insurance where it has really bloomed since World War 2. Following a presentation of the historic development of the mutuals in France since the Revolution, this article presents an overview of the specific features and roles of mutual societies in France, mentions relevant French and EU law applicable to mutuals, and considers the performance of mutuals through the financial crisis. The article takes the view that mutuals have the potential to contribute to the inclusive and sustainable growth of the
Display Stickers: Enhance Your Environment with Tiny Interactive Stickers

We propose a novel form factor of displays that integrates visual output, sensing and interaction seamlessly with the physical environment. Display Stickers have a similar shape and size as traditional paper-based stickers. Users can freely attach them anywhere in the environment. Once attached, a Display Sticker enhances its environment with sensing, information display and interactive functionalities. This creates a lightweight platform for seamlessly integrating the physical with the digital realms. This includes enhancing physical objects with new functionality and making digital information available anywhere in architectural space.
Average Modeling of the Switched-Passive-Network Equalizer for Effective Large-scale Battery Simulation

Switched-passive-network equalizers are the most promising equalization techniques for series-connected battery cells. Because the switching period is much smaller than the chemical time constant of the battery, the equalization process cannot be effectively simulated by the traditional circuit simulation software. This paper presents the average models of the two most common topologies: the switched-capacitor, and the switched-resonance equalizers. By applying the average models to the simulations, the equalization process of a largescale battery pack can be executed. The simulation results are compared with the results of a real-time simulation system, which is very expensive and optimized for heavy computations. It is proved that the average-model-based simulations have almost accurate as the results obtained from the real-time simulator while the execution time is very fast. Besides, the proposed method is very simple and cost-effective for equalizer development.
Long-term evolution of coronal holes on the Sun and occurrence frequencies of magnetic storms with gradual commencements

Long-term evolution of areas with open configuration of magnetic field (coronal holes) on the Sun reconstructed on the basis of H-alpha synoptic charts for the period 1887-2016 was studied and compared with annual occurrence frequencies of magnetic storms with gradual (GC) commencements. It was found that correlation between yearly values of coronal hole (CH) areas and sunspot numbers with no time shift is negative and not strong, but increases up to ∼0.6-0.7 when CH areas are delayed by 4-5 years relative to sunspot numbers. Temporal variations of CH areas in the Northern and Southern hemispheres are characterized by dominant ∼11-year periodicities; however, they differ significantly on the multidecadal time scale. The wavelet spectra of CH areas in the Southern hemisphere, unlike those in the Northern one, reveal persistent periodicities of ∼30-35 years on the studied time interval. Similar periodicities of ∼30-35 years are observed in annual occurrences of GC magnetic storms which are caused by high-speed streams of solar wind from coronal holes. The results of cross wavelet analysis of annual occurrence frequencies of GC magnetic storms and areas of coronal holes revealed common periodicities ∼11, ∼35 and ∼60 years which confirmed a close link of these storms with the evolution of large-scale magnetic fields on the Sun.
Using waterfall, iterative and spiral models in ERP-system implementation projects under uncertainty

The article considers the use of cascade and multi-pass implementation models of corporate information systems in case of business and technological uncertainty. A review of waterfall, iterative and spiral ERP-systems implementation models is given. The business and technological uncertainties inherent in software systems implementation projects are introduced. The basic principles of development complex applications in ERP-systems are analyzed, including the rules of evolution and functionality. One compares business uncertainty for refined requirements in the waterfall and Agile-based implementation models, which operate with a change request and allocation requirements to a new round of development respectively. There is no or minimal technological uncertainty in ERP-systems implementation projects, however high business uncertainty exists, which can not be decreased by any basic implementation approaches. The application area of the waterfall and multi-pass implementation models is clarified for ERP projects from scratch, rollout and evolution under business uncertainty.
Using Weibull Distribution Analysis to Evaluate ALARA Performance

As Low as Reasonably Achievable (ALARA) is the underlying principle for protecting nuclear workers from potential health outcomes related to occupational radiation exposure. Radiation protection performance is currently evaluated by measures such as collective dose and average measurable dose, which do not indicate ALARA performance. The purpose of this work is to show how statistical modeling of individual doses using the Weibull distribution can provide objective supplemental performance indicators for comparing ALARA implementation among sites and for insights into ALARA practices within a site. Maximum likelihood methods were employed to estimate the Weibull shape and scale parameters used for performance indicators. The shape parameter reflects the effectiveness of maximizing the number of workers receiving lower doses and is represented as the slope of the fitted line on a Weibull probability plot. Additional performance indicators derived from the model parameters include the 99th percentile and the exceedance fraction. When grouping sites by collective total effective dose equivalent (TEDE) and ranking by 99th percentile with confidence intervals, differences in performance among sites can be readily identified. Applying this methodology will enable more efficient and complete evaluation of the effectiveness of ALARA implementation.
Study of Cananga odorata (Lam.) Hook. f. & Thoms. Flower Development: Morphological Variations in an Urban Environment

Cananga odorata is a native plant in the Indonesian archipelago. The flowers are often used to produce essential oils with many uses and a distinct fragrance. This study aims to observe each stage of the Cananga odorata flower development. The flowers were obtained from a home garden in Pasar Minggu, South Jakarta, from November 2020 until January 2021. Further observations of the stamen and pistil developments were conducted using Dino-Lite Edge Digital Microscope AM4115 Series. The results show that Cananga odorata flower development can be categorized into bud, display-petal, initial-flowering, full-flowering, end-flowering, and senescence stages. The flowers require 35 days to develop from bud stage to flower senescence. Stamens and pistils also develop primarily during the bud stages and mature after flower anthesis. Flower mutants were also found and may be caused by a mutation in the flower’s homeotic genes. Each different stages of flower development show a different morphological change in the flower perianth and reproductive organs. A discrepancy of flower morphology within each stage, especially those seen during the anthesis stages, might imply a variation in the flower’s internal factors.
Towards a piezoelectric vibration-powered microgenerator

As MEMS and Smart Material technologies advance, embedded and remote applications are becoming more widespread. Powering these systems can be a significant engineering problem, as traditional solutions such as batteries are not always appropriate. An inertial generator is developed that uses thick-film piezoelectric technologies to produce electrical power from vibrations in the environment of the device. The device validates the concept, and produces an output of 3uW. Predictions show that orders of magnitude increase in power output are possible.
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler

Routing is an essential step to integrated circuits (IC) design closure. With the rapid increase of design scales, routing has become the runtime bottleneck in the physical design flow. Thus, accelerating routing becomes a vital and urgent task for IC design automation. This paper proposes a global routing framework running on hybrid CPU-GPU platforms with a heterogeneous task scheduler and a GPU-accelerated pattern routing algorithm. We demonstrate that the task scheduler can lead to 2.307 × speedup compared with the widely-adopted batch-based parallelization strategy on CPU and the GPU-accelerated pattern routing algorithm can contribute to 10.877 × speedup over the sequential algorithm on CPU. Finally, the combined techniques can achieve 2.426 × speedup without quality degradation compared with the state-of-the-art global router.
Estimators based in adaptively trimming cells in the mixture model

The paper introduces a robust estimation procedure, in the multivariate normal mixture model, based on the choice of a representative trimmed subsample through an initial robust clustering procedure and subsequent improvements based on maximum likelihood. To obtain the initial trimming we resort to the trimmed k-means, a simple procedure designed for finding the core of the clusters under appropriate configurations. Maximum likelihood estimation, handling the trimmed data as censored, provides in each step the location and shape of the next trimming. Data-driven restrictions on the parameters, requiring that every distribution in the mixture must be sufficiently represented in the initial clusterized region, allow to avoid singularities and to guarantee the existence of the estimator. Our analisis includes robustness properties and asymptotic results as well as worked examples. keywords: Multivariate normal mixture model, identifiability, EM algorithm, censored maximum likelihood, asymptotics, trimmed k-means, breakdown point, influence function. A.M.S. 2000 subject classification: Primary: 62F35, secondary: 62H12, 62P99
Low-Density Polyethylene (LDPE) Food Packaging Defect Classification using Local Binary Pattern (LBP)

The motivation of this research is to automate the current food packaging inspection process by implementing the non-destructive approach. The current practices require human intervention where human vision tends to overlook the faulty on the package resulting in accuracy dilemma. Human also may be exhausted due to repeated activities. This paper provides the primary phase for effective automation of image classification solution implemented using Weka software. An evaluation of the performance of the Support Vector Machine (SVM), K-nearest Neighbour (KNN) and Random Forest (RF) classification models for Low-Density Polyethylene (LDPE) food packaging defect image classification using a small sample of dataset and Linear Binary Pattern (LBP) as feature extraction algorithm is investigated. Four criteria have been used to evaluate the performance of each classification model which is accuracy, sensitivity, specificity and precision obtained from the confusion matrix table. The results indicate that SVM performs better than RF and KNN with 95% accuracy, 95% sensitivity, 72% specificity and 95% precision in classifying LDPE food packaging defect images.
The pathogenicity and virulence of Toxoplasma gondii

ABSTRACT Toxoplasma gondii is a parasitic protist infecting a wide group of warm-blooded animals, ranging from birds to humans. While this infection is usually asymptomatic in healthy individuals, it can also lead to severe ocular or neurological outcomes in immunocompromised individuals or in developing fetuses. This obligate intracellular parasite has the ability to infect a considerable range of nucleated cells and can propagate in the intermediate host. Yet, under the pressure of the immune system it transforms into an encysted persistent form residing primarily in the brain and muscle tissues. Encysted parasites, which are resistant to current medication, may reactivate and give rise to an acute infection. The clinical outcome of toxoplasmosis depends on a complex balance between the host immune response and parasite virulence factors. Susceptibility to the disease is thus determined by both parasite strains and host species. Recent advances on our understanding of host cell-parasite interactions and parasite virulence have brought new insights into the pathophysiology of T. gondii infection and are summarized here.
A study on different memristor model for neuromorphic applications

Memristor provides hope of becoming an alternative for next-generation memory with several features such as logic implementation, signal processing, neuromorphic systems, and nonvolatility and low power compared to CMOS-based memories. Many memristor models that have been developed. This paper is going to discuss the mathematical model of those models and show the output results of different models and their hysteresis loops
High performance predictive dead-beat digital controller for DC power supplies

In this paper, a digital control technique based on a predictive dead-beat control concept is developed for switch-mode DC/DC power supply applications. As compared to a conventional digital controller, the proposed technique offers much improved control performance. In addition, the design procedure is simplified and the computational resources required for the calculation of the control algorithm are significantly reduced.
Liveable Muslim Settlements: A Systematic Literature Review to Understand Current Factors and Challenges

Liveable settlement refers to living environment. In the context of Muslim settlements, while people situated in homogenic culture and religious traditions, there was quite confuse how to improve them in better qualities of physical conditions despite the density in their own settlements. This paper tries to find any current factors and challenges of liveable Muslim settlements. Muslim settlements indicated where research did and liveable factors and challenges analysis from literature data stated about the experiences of liveability aspects. The systematic literature review used by analysis 19 paper in last ten years from ScienceDirect online databases from 2010 until 2021. Descriptive analysis did by grouped the key words from all papers, indicated theme of research and conclude it to factors and challenges of research topic. Literature data indicated physical, non-physical, and socio-culture factors as important factors to make settlement will liveable. Challenges from design and planning phases until implementing phase can confirm the fulfil of ideal indicators of liveable Muslim settlements.
Generic Strategies for the Efficient and Effective Use of Information Systems in Business

This research looks into the business areas that constitute Management Information Systems (MIS) management and attempts to identify the various generic approaches that can be used in each of these areas. The areas in question are MIS strategic management, MIS cost management, MIS people management, MIS data management, MIS technology management and MIS systems management. Using statistical as well as empirical methods, an attempt is made to test the generic theories and approaches, which were identified in the research, under enterprise MIS conditions. The objective is to identify the generic theories that, if used, will improve the efficiency and/or effectiveness of the MIS function in business. A survey of 310 MIS divisions in medium to large UK companies was undertaken. The outcome of the survey was analyzed using ANOVA and other statistical methods. The questions that were put forward in the survey fell into two categories. The first was to identify from the respondents how their MIS divisions were being managed. The second category of questions was used to gain insight into the level of efficiency and effectiveness that they perceived to exist in their MIS division. The authors believe that the key result highlighted by the research is the fact that there is ‘no silver bullet’ in delivery efficient and effective MIS solutions – the phrase is taken from Brooks’ (1987) paper ‘No Silver Bullet – Essence and Accidents of Software Engineering’. With that in mind, the research produced some evidence that at time may not have been conclusive. The highlights of the findings suggest that MIS should combine the use of deductive as well as inductive thinking in their strategic management. In the cost management area, the research identified the use of activity based costing (ABC) as being the best practice in order to achieve a higher level of efficiency and effectiveness. The empowerment strategy of people management was identified as being a more efficient and effective strategy to manage the human resource of MIS. The research produced evidence to suggest that there is a misconception by MIS management as to the value of the strategic information systems (SIS) that they deliver. The research also produced evidence to suggest that the data management practices that currently exist are ineffective for present day business needs.
Analysis Water Quality of Springs on the East Slope of Mount Sumbing, Central Java, Indonesia for Sanitation Hygiene Purposes Based on the Physical and Chemical Properties

The eastern slope of Mount Sumbing has many springs used as a source of raw water for hygienic sanitation purposes. However, there has been no scientific research showing the quality of springs. Therefore the purpose of this study is to analyze the quality of springs on the eastern slopes of Mount Sumbing for community sanitation hygiene purposes based on water physical and chemical properties. Water samples were taken from several points in the study area and observed for physical parameters (TDS, smell, taste, and temperature) and chemical parameters (acidity, nitrate, fluoride, and sulfates). The results showed that from 30 samples of springs, only one spring fulfilled the Indonesia Minister of Health Regulation No. 32 in 2017. The spring located at STA 51 Kaliloro, Krajan, Kaliangkrik, Magelang Regency. There was a spring classified as deep geothermal groundwater and the others classified as shallow groundwater. Based on the acidity of water, most of the springs on the eastern slopes of Mount Sumbing could be used as hygiene sanitation by treating the water acidity and regulating the purposes of springs.
Examining the Evolution and Distribution of Patent

Today, more so then ever, patents play an important role in helping inventors and organizations protect their intellectual property. With a 150% increase in the number of patents granted over the last 20 years, a rich source of data is presented that can be examined to better understand the change and development of intellectual borders. In this paper we discuss visualization techniques that examine the classification of more than 2.5 million patents in an attempt to improve understanding of how an assignee’s patent portfolio, and the patent space as a whole, is partitioned and evolves over time.
Screening Extract EtOAc Sponge Derived Fungi Against Clinical Staphylococcus aureus to Obtain Sustainable Natural Product

The increasing resistance of pathogenic bacteria to various antibiotics worldwide has become a severe problem for medicine and human health. This study aims to determine the antibacterial activity of extract ethyl acetate (EtOAc) produced by sponge-derived fungi as an antibacterial agent. This study obtained nineteen fungal isolates from the marine sponges in Singaraja, Buleleng Bali, Indonesia. The pathogenic bacteria Staphylococcus aureus was obtained from patients at Abdul Moeloek Hospital, Bandar Lampung. The susceptibility test of Staphylococcus aureus was carried out on nine types of commercial antibiotics using the disk diffusion method. The solid-state fermentation (SSF) method on rice media carried the cultivation and co-cultivation of fungi. The bioactivity of the extract was tested against pathogenic bacteria S. aureus. The results of the susceptibility test to antibiotics showed S. aureus resistance to amoxicillin, ciprofloxacin, erythromycin. Showed that extracts A12RF, A05RF, C36RF had inhibitory activity against the growth of S. aureus at a concentration of 0,5mg/mL. These results indicate that co-cultivation can induce fungi to produce different secondary metabolites. This basic information is essential for further studies related to the production of fungal bioactive compounds through the co-cultivation stage in the SSF process.