Miracle-dz/UniFAR-FTUs huggingface dataset:
MANTENIMIENTO PRODUCTIVO TOTAL EN UNA MICROEMPRESA

RESUMEN: La implantacion de Mantenimiento Productivo Total (TPM) permite a una empresa optimizar sus practicas de mantenimiento y mejorar la eficacia en sus operaciones. Por ello, la cantidad de empresas que han implantado TPM ha crecido considerablemente; sin embargo, en su mayoria son grandes empresas. Por tanto, al aplicar TPM a una microempresa (hasta 10 trabajadores), se plantea el reto de adaptar la filosofia del TPM a este tamano de empresa. En este articulo se expone el proceso de seleccion e implantacion del TPM como sistema para mejorar la competitividad de una microempresa, describiendose la implantacion del mantenimiento autonomo pero tambien del mantenimiento correctivo y preventivo. El proceso de implantacion expuesto en este articulo puede servir de referencia para otras pequenas empresas en su busqueda de la mejora continua que garantice su supremacia frente a los competidores. Palabras clave: Mantenimiento Productivo Total, Microempresa, Mejora continua
Stable Lévy processes, self-similarity and the unit ball

Around the 1960s a celebrated collection of papers emerged offering a number of explicit identities for the class of isotropic Lévy stable processes in one and higher dimensions; these include, for example, the lauded works of Ray (1958); Widom (1961); Rogozin (1972) (in one dimension) and Blumenthal et al. (1961); Getoor (1966); Port (1969) (in higher dimension), see also more recently Byczkowski et al. (2009); Luks (2013). Amongst other things, these results nicely exemplify the use of standard Riesz potential theory on the unit open ball Bd := {x ∈ R : |x| < 1}, R\Bd and the sphere Sd−1 := {x ∈ R : |x| = 1} with the, then, modern theory of potential analysis for Markov processes. Following initial observations of Lamperti (1972), with the occasional sporadic contributions such as Kiu (1980); Vuolle-Apiala and Graversen (1986); Graversen and Vuolle-Apiala (1986), an alternative understanding of Lévy stable processes through the theory of self-similar Markov processes has prevailed in the last decade or more. This point of view offers deeper probabilistic insights into some of the aforementioned potential analytical relations; see for example Bertoin and Yor (2002); Bertoin and Caballero (2002); Caballero and Chaumont (2006a,b); Chaumont et al. (2009); Patie (2009, 2012); Bogdan and Żak (2006); Patie (2012); Kyprianou et al. (2014); Kuznetsov et al. (2014); Kyprianou and Watson (2014); Kuznetsov and Pardo (2013); Kyprianou (2016); Kyprianou et al. (2016a,b); Alili et al. (2017). In this review article, we will rediscover many of the aforementioned classical identities in relation to the unit ball by combining elements of these two theories, which have otherwise been largely separated by decades in the literature. We present a dialogue that appeals as much as possible to path decompositions. Most notable in this respect is the Lamperti-Kiu decomposition of self-similar Markov processes given in Kiu (1980); Chaumont et al. (2013); Alili et al. (2017) and the Riesz–Bogdan–Żak transformation given in Bogdan and Żak (2006). Some of the results and proofs we give are known (marked ♥), some are mixed with new results or methods, respectively, (marked ♦) and some are completely new (marked ♣). We assume that the reader has a degree of familiarity with the bare basics of Lévy processes but, nonetheless, we often include reminders of standard material that can be found in e.g. Bertoin (1996), Sato (2013) or Kyprianou (2014). Stable Lévy processes, self-similarity and the unit ball 3
Systematic Overview of Solid Particles and Their Host Responses

Crystalline/particulate substances trigger a plethora of signaling events in host cells. The most prominent consequence is the inflammatory reactions that underlie crystal arthropathies, such as gout and pseudogout. However, their impact on our health was underestimated. Recent work on the role of cholesterol crystal in the development of atherosclerosis and the harm of environmental particulates has set up new frontiers in our defense against their detrimental effects. On the other hand, in the last 100 years, crystalline/particulate substances have been used with increasing frequencies in our daily lives as a part of new industrial manufacturing and engineering. Importantly, they have become a tool in modern medicine, used as vaccine adjuvants and drug delivery vehicles. Their biological effects are also being dissected in great detail, particularly with regard to their inflammatory signaling pathways. Solid structure interaction with host cells is far from being uniform, with outcomes dependent on cell types and chemical/physical properties of the particles involved. In this review, we offer a systematic and broad outlook of this landscape and a sage analysis of the complex nature of this topic.
Cathode Materials for Lithium Sulfur Batteries: Design, Synthesis, and Electrochemical Performance

With the rapid development of electronic devices, portable electronics, and electric vehicles, the energy density and cycle life of LIBs are insufficient for the demands. Based on the reaction mechanisms, lithium-sulfur (Li-S) batteries have a high specific capacity of 1672 mAh/g, with a theoretical energy density up to 2600 Wh/Kg. However, the sulfur cannot serve as cathode individually because of its isolation nature and soluble compounds, which necessitates a second component as a conducting matrix and sulfur host. Thus, sulfur cathodes have diversified through microstructure designing with various materials, including inorganic compounds, polymers, carbon materials, and their hybrids, which should be satisfied several essential requirements, such as high stable incorporation with sulfur, high electrical conductivity of electrode materials, and loose framework to suffer the volume expansion of cathode during charge-discharge process. These investigations may provide the effective routes to prepare different new cathode materials with unique structures and morphologies for Li-S batteries, which improve cycling stability, coulombic efficiency, and rate capacity of the electrode at higher current density. electrode (1080 and 1121.0 mAh g −1 ). It demonstrates that utilization rate of sulfur for the HPCs-S electrode is much higher. And the electrode of the HPCs-S has sufficient contact with the electrolyte and the conducting material.
Opportunities in Machine Learning for Healthcare

Modern electronic health records (EHRs) provide data to answer clinically meaningful questions. The growing data in EHRs makes healthcare ripe for the use of machine learning. However, learning in a clinical setting presents unique challenges that complicate the use of common machine learning methodologies. For example, diseases in EHRs are poorly labeled, conditions can encompass multiple underlying endotypes, and healthy individuals are underrepresented. This article serves as a primer to illuminate these challenges and highlights opportunities for members of the machine learning community to contribute to healthcare.
The Effects of MicroRNAs on Key Signalling Pathways and Epigenetic Modification in Fibroblast-Like Synoviocytes of Rheumatoid Arthritis

MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression at the posttranscriptional level via direct binding to the 3′-untranslated region (UTR) of target mRNAs. Emerging evidence shows that miRNAs play crucial roles in controlling and modulating immune system-related diseases. This review focuses on the role played by miRNAs in fibroblast-like synoviocytes (FLS), which is a key cellular component within synovia, during the establishment and maintenance of rheumatoid arthritis (RA), a systemic inflammatory autoimmune disease. It also provides an overview and classification of known functional miRNAs in RA FLS and summarizes the potential uses of these small molecules in RA diagnosis and treatment.
Challenges in Estimating Characteristics of Staphylococcus aureus Nasal Carriage Among Humans Enrolled in Surveillance Studies

Evaluating carriage of Staphylococcus aureus, an opportunistic pathogen of humans and animals capable of causing antibiotic-resistant infections, is epidemiologically important. However, clinical and epidemiological surveillance studies of S. aureus typically rely on characterizing one isolate per individual, which may not represent the actual population diversity in a carrier. The objective of this study was to determine if one isolate is sufficient for determining carrier status of particular strains or characteristics of S. aureus in a healthy (non-hospitalized) human population. We compared spa types, genetic markers (mecA, scn), and antibiotic resistance profiles of 10 S. aureus isolates recovered from a single nasal swab for each of 19 participants (190 isolates total) selected from a cohort of industrial hog operation workers and their household members. Participants included both persistent (n = 10) and intermediate (n = 9) carriers of S. aureus. Among the participants, 17 (89%) carried a single S. aureus spa type intranasally and the other two carried dominant spa types. Less similarity was observed for genes encoded on mobile genetic elements (mecA, scn) and antibiotic resistance profiles. Statistical modeling, based on receiving operating characteristic curves, suggests that three to five isolates may be necessary to accurately assign nasal carriage status for these more variable characteristics. Variability was observed for both persistent and intermediate carriers of S. aureus. These results suggest that surveillance studies that rely on testing one S. aureus isolate are likely to identify predominant spa types but may not fully capture more variable characteristics of S. aureus, including antibiotic resistance. Surveillance studies that rely on testing one isolate may underestimate prevalence of nasal carriage of S. aureus with these more variable characteristics.
Investigating the effect of website quality on eWOM and customer purchase decision: third parties hotel websites

This study investigates in depth the effect of website aesthetics on Electronic Word of Mouth (eWOM) in Customer Purchas Decisions (CPD) when choosing and booking hotels online. Although there are many new developments in IT to better understanding the influence of eWOM on CPD, few researchers studied the influence of web environment on eWOM in the tourism sector. A quantitative method will be implemented for the investigation of this research. Based on the existing literature on Web Quality (WQ) and eWOM in the tourism industry a conceptual framework has been developed. The research applied interviews, focus groups (10 PhD students, 3 academics and 3 professionals) and a pilot study (100 undergraduate students) in order to validate the reliability of the survey instrument. An online survey has been used to collect the main data. This research will use Structural Equation Modelling to test the validity of the proposed framework. The main aim of this study is to contribute to the current knowledge of WQ and eWOM. This study will help academics better understand the influence of WQ on eWOM. In addition, this study will provide practitioners with a framework that can be used in their companies to enhance revenue.
Towards Atomic Cross-Chain Token Transfers: State of the Art and Open Questions within TAST

—Cryptocurrencies share a broad overall purpose, enabling distributed, decentralized and trustless transfers of value. Nevertheless, the various blockchains upon which each cryptocurrency is implemented remain, for the most part, unconnected. While approaches for atomic swaps (the secure exchange of tokens on one chain for another) are emerging, there is still no documented implentation of such a system that adheres to cryptocurrency’s orientation toward decentralisation and trustlessness. In this paper, we propose the concept of atomic cross-chain token transfers, which will connect various blockchains, foster collaboration between various stakeholders, and to mitigate risk to end users of a speciﬁc blockchain. This paper reviews the current state of the art, both in terms of blockchains and atomic swap technologies. More speciﬁcally, we survey twenty of the most prominent blockchains, as well as fourteen currently operational or forthcoming cryptocurrency systems, discussing their features and potential usability for atomic cross-chain token transfers. We then identify several open key challenges for such token transfers, and discuss potential directions of research.
Infectious disease research and the gender gap

Historically, women have been less likely to be supported through higher degree training programmes, and they continue to hold more junior positions in science. This paper reviews the current gender research and gender capacity-building efforts led by the UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR). Created more than 40 years ago as the only United Nations-based Special Programme dedicated to research and research capacity building on infectious diseases, TDR has a longstanding track record both in supporting research into gender-specific questions and in research capacity strengthening among women scientists. We provide an overview of these approaches, then describe a recent pilot programme on Women in Science, designed to understand and remedy the gender gaps in health research. The programme focused on Africa, but it is hoped that the replication of such schemes in TDR and other international funding agencies will lead to more attention being given to women in infectious diseases research in other continents. This article may not be reprinted or reused in any way in order to promote any commercial products or services.
Insertion and removal effects of tooth supported overdentures on retention strength and fatigue resistance of attachment systems: An in vivo study

Over the years, fabrication of an adequately retentive mandibular complete denture has remained a challenge when compared to its maxillary counterpart with an optimum denture bearing foundation. [1] It was the evolution of the concept of tooth-supported overdentures that markedly increased the retention and stability component. With the advent of implant-supported overdentures, the aesthetic, phonetic, and maintenance factors can be dealt with even in those patients with a neuromuscular compromise. [2,3] It is always a justifi able fact that retaining the healthy roots of natural teeth is a better option that placing implants, thereby stressing the importance of understanding various facets of tooth supported overdentures and its clinical applications. Various attachment systems are commercially available but little or no data is available corelating the attachment used and the overdenture support confi guration especially of the tooth supported overdentures. The major problem being the wear of the elastic component, which requires regular replacement. There is no established data available that would help us identify the average life of the components, time-frame of its replacement or repair due to its usage in the oral environment. Lehmann and Arnim[4] stated that during the function, stabilization of the overdenture can occur when the retention forces of attachment systems varied between 5 and 7 N whereas daily insertion and removal, the oral environment can result in the wear and loss of the prosthetic system.
Annotated Multisemantics To Prove Non-Interference Analyses

The way information flows into programs can be difficult to track. As non-interference is a hyperproperty relating the results of several executions of a program, showing the correctness of an analysis is quite complex. We present a framework to simplify the certification of the correction proof of such analyses. The key is capturing the non-interference property through an annotated semantics based on the execution of the program and not simply its result. The approach is illustrated using a small While language.
Study on privacy preserving recommender systems datasets

Recommender system are information filtering software tools, which are responsible to deliver information to end user in a safe environment. However, as soon as we are moving towards big data then privacy in particular data exchange becomes unsafe. In this paper, we will discuss the information used by the recommender systems during privacy preserving process. Various types of data have been adopted by social recommender systems we will highlight the issue and paradigm on such data related to privacy concern. As the privacy of particular user become public when interact in social recommender systems, we discussed the various data applications in which privacy issue is discussed by various authors.
Effect of a Sodium Alginate Coating Infused with Tea Polyphenols on the Quality of Fresh Japanese Sea Bass (Lateolabrax japonicas) Fillets.

Sodium alginate (SA) and tea polyphenols (TP) are natural preservatives commonly used in the food industry, including the production of fish products. The effect of SA coating infused with TP on the quality of fresh Japanese sea bass (Lateolabrax japonicas) fillets was evaluated over a 20-day period at 4 °C. SA (1.5%, w/v) or TP (0.5%, w/v) treatment alone, and the SA coating infused with TP (SA-TP) all reduced microbial counts, with the SA-TP providing the greatest effect. Fish fillet samples treated with SA-TP had significantly lower levels of total volatile basic nitrogen, lipid oxidation, and protein decomposition during the storage period, relative to the remaining treatments. The samples treated with SA-TP had the highest sensory quality rating as well. Collectively, sodium alginate coating infused with tea polyphenols may represent a promising treatment for preservation of Japanese sea bass fillets during cold storage. PRACTICAL APPLICATION The sodium alginate-tea polyphenols composite coating has strong potential to be used as a new biopreservative for maintaining fish fillet quality.
Time-Varying Queues Ward Whitt

Service systems abound with queues, but the most natural direct models are often timevarying queues, which may require nonstandard analysis methods beyond stochastic textbooks. This paper provides an overview of time-varying queues. Most of the recent literature concerns many-server queues, which arise in large-scale service systems, such as in customer contact centers and hospital emergency departments, but there also has been some new work on singleserver queues with time-varying arrivals, which arise in some settings, such as airplanes coming to land at an airport, cars coming to a traffic intersection and medical staff waiting for the availability of special operating rooms in a hospital. The understanding of many-server queues and single-server queues is enhanced by heavy-traffic limits, which have been extended to timevarying models as well as stationary models.
Faciocervical Reconstruction Using a Large Expanded Forehead Island Flap Grafted Using a Microsurgical Technique for Burned Cicatricial Contracture Correction

Abstract Extrinsic cicatricial contracture is still one of the most common and frustrating complications in the faciocervical area after severe burns. Because of these contractured scars, patients not only suffer from aesthetic issues but also local dysfunction, especially when it comes to the faciocervical region. Esthetical and functional reconstruction of these regions remains a great challenge for reconstructive surgeons. This report presents a 28-year-old man with postburn mentocervical adhesion treated successfully with a large expanded forehead island flap. Cosmetic and functional results have been achieved in this patient during long-term follow-ups.
Estimation of short-circuit currents in future LVDC microgrids

In order to have a viable design of LVDC protection devices like circuit breakers and fuses, it is important to design them for the correct short circuit ratings keeping the network configuration in account. In this paper, fault characteristics for different future LVDC network configurations are simulated (PLECS 1 ) to analyze the maximum short-circuit current rating of the network. DAB (Dual Active Bridge) topology for DC-DC converter is considered for the connection of renewable energy sources and MVDC link to the LVDC grid. Results show that due to the current limiting characteristics of DC-DC converter, there is a potential of decreasing the maximum SC rating of the protection devices in LVDC microgrids compared to LVAC grids (10kA) 2 .
Warm waves in north − western Spitsbergen

In this study, weather conditions causing warm waves in north−western Spits− bergen, exemplified by Ny−Ålesund station, were analyzed. Between 1981 and 2010, 536 days with the maximum temperature exceeding 8.3 C (the value of 95 percentile) were selected. 37 warm waves, which altogether lasted 268 days, were identified. A typical fea− ture of pressure pattern causing warm waves was the appearance of positive anomalies of both the sea level pressure and the height of isobaric surface 500 hPa in the Euro−Atlantic sector of the Arctic. This indicates a presence of high−pressure systems in this region. Extremely warm days appeared more often with the circulation from the eastern than the western sector. Longer and warmer heat waves occurring in the last decade of the analyzed period may be considered as a sign of climate warming, which has a significant impact on environment, i.e. reduction in area and thickness of glaciers, reduction of permafrost and snow cover, changes in biodiversity, etc. The increase in the air temperature and more fre− quent occurrence of heat waves may encourage development of tourism in polar areas, po− tentially causing further changes in the environment.
Design of a loosely coupled transfomer loaded series-parallel class-DE ZVS inverter

This paper presents a detailed design procedure for the transformer-based full-bridge Class-DE zero-voltage switching inverter. The circuit topology comprises the series-parallel CLL resonant tank network. The characteristics of the CLL resonant tank circuit in the presence of a loosely-coupled transformer are discussed. The expressions for the components, which are required to design the inverter to achieve zero-derivative switching (ZDS) condition are derived. A laboratory prototype of the transformer-based full-bridge Class-DE inverter with an input voltage 11 V, output power 10 W, switching frequency 500 kHz, and coupling coefficient 0.44 was designed, built, and tested. Validation of the theoretical predictions were performed using simulation and experimental results.
Decoupled frequency and voltage control for stand-alone microgrid with high renewable penetration

In South Korea, the stand-alone microgrid on an island has synchronous diesel generators and multiple distributed generations (DGs) based on renewable energy and energy storage devices. According to the active policy of government to develop eco-friendly microgrids with zero carbon emission, many diesel generators in stand-alone microgrids are being replaced by the DGs. It brings challenges on the operation and control of multiple DGs because this causes the lack of inertia, which is originally provided from the diesel generators. This paper proposes a new decoupled frequency and voltage controller for DGs, which is able to keep the grid frequency and voltage magnitude constant. For frequency control, a frequency recovery control loop is newly added to conventional droop and inertia control loops for both the effective power sharing and stabilization of frequency response after a disturbance. For voltage control, the proposed controller regulates the grid voltage in an inertia-free mode, in which all diesel generators are disconnected, while providing the conventional reactive power-voltage droop control under a normal condition. As the result, the proposed controller can enhance the resilience and increase the penetration of renewable energies to the stand-alone microgrid. To verify the effectiveness of proposed controller, several case studies are carried out by using the practical data of a real stand-alone microgrid in South Korea.