Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a digital twin for cyber-physical production systems: a multi-paradigm modeling approach in the postal industry

This paper presents our early-stage research on a Multi-Paradigm Modeling (MPM) approach as an initial step towards the definition of a Digital Twin (DT) for Cyber-Physical Production Systems (CPPSs). This work takes place in the context of the digitalization of the mail sorting process at La Poste, the French national postal service company. Indeed, La Poste is currently investing on robotics modules for automatically loading mail containers. The main objective is to reduce the painful work for human operators while optimizing the robots usage. We already worked on targeting such a balance in a past effort that resulted in the production of different kinds of models of the La Poste CPPS. However, these models were defined separately and are not directly related to the underlying business process in particular. Thus, we propose an MPM approach starting from this business process as now modeled explicitly in a BPMN model. Then, we refine the high-level business activities into finer-grained activities represented in a UML Activity model. From these latest, we derive the specification of a Multi-Agent System (MAS) developed with the JADE framework and emulating the behavior of the La Poste CPPS. Our longer term objective is to pave the way for supporting the definition of a DT for this CPPS, and potentially for other CPPSs in different contexts in the future.
Biological Synthesis of Nanoparticles Using Endophytic Microorganisms: Current Development

Nanotechnology is a new emerging interdisciplinary approach created by pairing of engineering, chemical, and biological approaches. This technology produces nanoparticles using different methods of traditional physical and chemical processes; however, the outlook in this field of research is to use ecofriendly, nontoxic, and clean methods for the synthesis of nanoparticles. Biological entities, such as plants, bacteria, fungi, algae, yeast, and actinomycetes, are the best candidate to achieve this goal. Among the biological route, those involve endophtic microorganisms to reduce metallic ions into nanoparticles. This method is considered as an attractive option and can open a new horizon on the interface of biology and nanotechnology. The present chapter highlights the latest research about endophytic microorganisms and their application in the synthesis of nanoparticles, as well as the mechanisms involved in the formation of nanoparticles.
Quality Analysis of Raw Cow Milk from the Cojocna Farm, UASVM Cluj Napoca in Correlation with the Feeding Technique and Mammary Gland Health Status

Quality analysis of 576 milk samples, obtained from the eight controls was performed in 2015 at the didactics UASVM farm from Cojocna. The biological material was represented by a 107 cows of Romanian spotted breed. On this population, individual and overall, were analized more aspects: productive performances and the main milk quality indicators such as fat, protein, lactose, pH, with particular reference to somatic cell counts as the main indicator of subclinical mastitis and the content of urea as the main indicator of nutritional aspects of the dairy cows. Following the official control of milk production, it was found that the milk production was on average 14.76 kg/day with a quite high values of coefficient of variability, between 31.05% and 40.47%, depending on the controls, which indicating a strong heterogeneity of this trait. The chemical characteristics of 576 samples showed considerable variations from one control to another. The amount of total fat and protein was found to be on average of 3.92% and 3.37% respectively. Regarding the content of urea and somatic cells, in all tested milk samples, the lowest value was found in the fifth control, with an average of 8. 04Â±0.6 mg/dl and 69. 20Â±23.3 cell/mlx10 3 , while the highest was in the first control 19. 37Â±0.7 mg/dl for urea, and 263. 17Â±31.7 cell/mlx10 3 for the somatic cells.
Explore the Relationship between Insulin Resistance and PGC1α in PCOS Mice

Objective: To investigate the relationship between AMPKα, PGCα, insulin resistance and reproductive function in PCOS mice and to find out the molecular mechanisms and potential therapeutic molecular targets of pathogenesis of PCOS. Methods: The PCOS mouse model was established by DHEA administering with Balb/c mice. And after AMPK agonist AICAR and inhibitor Compound C intervention, Fasting blood glucose, fasting insulin and testosterone levels were observed. The HOMA index was calculated. The changes of PGCα expression in ovarian tissue were observed by western blot and immunohistochemistry to determine the relationship between insulin resistance and PGCα in PCOS mice. Results: Western blot and immunohistochemistry showed that PGC1α protein was expressed in the ovary of mice and the expression of PGC1α was negatively correlated with AMPKα in our study. Compared with the control group, the expression of PGC1α in the ovaries of the mice in PCOS group was significantly increased (P < 0.05), after intervention with AMPK agonist AICAR, the expression of PGC1α in PCOS + AICAR group was lower than that in PCOS group (P < 0.05). It is worth noting that the expression of PGC1α in PCOS mice exposed to AMPK inhibitor Compound C also decreased compared with PCOS group (P < 0.05). Conclusion: In ovarian tissue, the insulin resistance-related AMPKα pathway in PCOS mice may be negatively correlated with PGCα.
Decadal variability of nutrients and biomass in the southern region of Kuroshio Extension

<p>The phytoplankton and zooplankton biomass as well as nutrients in the southern region of Kuroshio Extension (KE) presents obvious decadal variability. Both local and remote links between biomass and physical properties are investigated by comparing satellite observations and the outputs from a biological-physical coupled model. The Regional Ocean Model System (ROMS) and Carbon, Silicate, and Nitrogen Ecosystem (CoSiNE) cover the entire Pacific Ocean. The ROMS-CoSiNE model captures the spatial distribution and decadal variation of the key biological variables including phytoplankton and zooplankton biomass and nutrients in the upper ocean around the KE. The decadal variation in the region is mainly caused by the westward-propagating signals that originate from the central and eastern North Pacific. Specifically, these signals are induced by the decadal oscillation of vertical displacement related to large-scale decadal Pacific modes, such as the North Pacific Gyre Oscillation (NGPO). The evidence obtained here includes not only from surface variables (sea surface height and surface chlorophyll) but also from the variables in the deeper ocean (thermocline, subsurface nutrients, upper 100-m phytoplankton and zooplankton biomass) in the KE region. The signals of the variables in the southern KE region significantly lag that of the NPGO in the central and eastern North Pacific by about 2-4 years. The mixed layer nitrogen budget is conducted to evaluate the contribution of vertical and horizontal advection for the decadal variation of nutrients. &#160;</p>
“It’s on its way”: Chatbots applied for online food delivery services, social or task-oriented interaction style?

ABSTRACT Research has yet to explore the spread of chatbots into the foodservice delivery sector and its impact on the customer’s experience, especially in a moment when the Internet seems to be the tool to meet needs associated with being physically apart. In order to fill this gap, the present study addresses the implications that chatbots’ interaction styles have for younger consumers using this channel for conversational online food delivery (OFD) services. Specifically, this study provides theoretical and practical insights into whether the conversational design of chatbots can influence social, affective, and behavioral intent outcomes. The study adopts an experimental design to investigate the effects of a social- versus task-oriented interaction style chatbot on the level of social presence and trust (social outcomes), perceived enjoyment (affective outcome), and intention to use the conversational OFD service in the future (behavioral intent outcome). Findings from a sample of 171 participants show that the interaction with the chatbot set up with a social-oriented interaction style increased users’ perception of social presence and perceived enjoyment, while it did not have any direct and significant effect on trust and intention to use. The study further supports the role of social presence, trust, and perceived enjoyment as mediators between the chatbot’s interaction style and the intention to use the conversational OFD service.
Virtual reality and tourism marketing: conceptualizing a framework on presence, emotion, and intention

ABSTRACT In a post-COVID landscape, building interest and evoking positive emotions toward tourism products are vital for destination recovery. As a result, interest and opportunity for the use of immersive technologies such as virtual reality (VR) for tourism marketing has intensified. Despite the ubiquity of presence as a concept in VR research, exploring and adapting presence for tourism marketing remains in infancy. In particular, there is still limited understanding of the importance and interplay of the determinants of presence. Through a critical review of presence research in ICT, education, psychology, psychiatry, marketing, and tourism, this paper establishes a comprehensive conceptual framework (named PEI framework) encompassing the determinants (immersion, engagement, sensory fidelity) and consequences of presence (P) on emotional response (E) and behavioural intention (I). This paper also found that presence research remains a disparate body of work. Frameworks and measures from which to bridge disciplines and contexts remain nascent. The interplay between presence determinants and their effects on emotional response, shown to be context-dependant in this review of presence VR research, has yet to be tested or theorized in tourism research. Suggestions for advancing the framework, both context and method-wise, are made for future VR research.
Quantitative and bi-modal (optical-MRI) imaging of the vulnerable atherosclerosis plaque in the mouse with specific functional markers

It is well accepted that major acute events in cardiovascular diseases are the consequences of the rupture of a vulnerable atherosclerotic plaque. The main issue for medical imaging is thus to diagnose vulnerable lesions before rupture and sudden vessel occlusion. The pathogenesis of atherosclerosis contains an important inflammatory component, which has been recognized as a key process in the malignant evolution of the disease. Magnetic Resonance Imaging (MRI) has recently evolved from a powerful non invasive morphological diagnostic technique to a more functional one, and is rapidly moving to molecular imaging thanks to the conception of new MRI contrast agents. Progress in molecular MRI of atherosclerosis is performed using animal models, where it is necessary to develop adequate methodology to enable in-vivo plaque imaging both in rabbits and mice. The next step is to synthesize an MR contrast agent targeted to inflammation in the plaque. For this, various targeting strategies are under evaluation. In our example, a gadolinium contrast agent was designed to target adhesion molecules highly expressed in active atherosclerotic plaques. Then, the arterial wall contrast enhancement was evaluated in vivo in ApoE-/mice after the intravenous injection of the new macromolecular gadolinium agent, functionalized to target inflammation. To enable dual detection by MRI and fluorescence imaging, a fluorochrome was grafted on the gadolinium platform.
MPPT control design for variable speed wind turbine

Variable speed wind turbine systems (VSWT’s) have been in receipt of extensive attention among the various renewable energy systems. The present paper focuses on fuzzy fractional order proportional-integral (FFOPI) control segment for variable speed wind turbine (VSWT) directly driving permanent magnet synchronous generator (PMSG). The main objective of this study is to reach maximum power point tracking (MPPT) through combination of advanced control based on FFOPI control applied to generator side converter (turbine and PMSG). The basic idea of the FFOPI controller is to implement a fuzzy logic controller (FLC) in cascade with Fractional Order Proportional Integral controller (FOPI). A comparative study with FOPI and classical PI control schemes is made. The traditional PI controller cannot deliver a sufficiently great performance for the VSWT. However, the results found that the proposed approach (FFOPI) is more effective and feasible for controlling the permanent magnet synchronous generator to mantain maximum power extraction. The validation of results has been performed through simulation using Matlab/Simulink®.
Image Scanning Microscopy with Single-Photon Detector Array

Image scanning microscopy (ISM) improves the spatial resolution of conventional confocal laser-scanning microscopy (CLSM), but current implementations reduce versatility and restrict its combination with fluorescence spectroscopy techniques, such as fluorescence lifetime. Here, we describe a natural design of ISM based on a fast single-photon detector array, which allows straightforward upgrade of an existing confocal microscope, without compromising any of its functionalities. In contrast to all-optical ISM implementations, our approach provides access to the raw scanned images, opening the way to adaptive reconstruction methods, capable of considering different imaging conditions and distortions. We demonstrate its utility in the context of fluorescence lifetime, deep, multicolor and live-cell imaging. This implementation will pave the way for a transparent and massive transition from conventional CLSM to ISM. confocal microscopy | time-resolved spectroscopy | image scanning microscopy | single-photon detector array
Forage Fish Larvae Distribution and Habitat Use During Contrasting Years of Low and High Freshwater Flow in the San Francisco Estuary

Recruitment of estuarine organisms can vary dramatically from year to year with abiotic and biotic conditions. The San Francisco Estuary (California, USA) supports a dynamic ecosystem that receives freshwater flow from numerous tributaries that drain one of the largest watersheds in western North America. In this study, we examined distribution and habitat use of two forage fish larvae of management interest, Longfin Smelt Spirinchus thaleichthys and Pacific Herring Clupea pallasii, during a low-flow and a high-flow year to better understand how their rearing locations (region and habitat) may affect their annual recruitment variability. During the low-flow year, larval and post-larval Longfin Smelt were distributed landward, where suitable salinity overlapped with spawning habitats. During the high-flow year, larval Longfin Smelt were distributed seaward, with many collected in smaller tributaries and shallow habitats of San Francisco Bay. Local spawning and advection from seaward habitats were speculated to be the primary mechanisms that underlie larval Longfin Smelt distribution during the high-flow year. Larval Pacific Herring were more abundant seaward in both years, but a modest number of larvae were also found landward during the low-flow year. Larval Pacific Herring abundance was lower overall in the high-flow year, suggesting advection out of the area or poor recruitment. Future monitoring and conservation efforts for Longfin Smelt and Pacific Herring should recognize that potential mechanisms underlying their recruitment can vary broadly across the San Francisco Estuary in any given year, which suggests that monitoring and research of these two species expand accordingly with hydrologic conditions that are likely to affect their spawning and larval rearing distributions.
Caracterización de los inmunofenotipos linfocitarios de sangre periférica en pacientes con cáncer

Introduccion: La determinacion de los inmunofenotipos linfocitarios en sangre periferica forma parte de la evaluacion del estado general del sistema inmunitario. Estos examenes ofrecen informaciones sobre la distribucion, concentracion y funcionabilidad de las celulas inmunitarias, lo cual contribuye a establecer pronosticos en el cancer y predicciones a las respuestas terapeuticas. Objetivo: Evaluar la distribucion de las concentraciones linfocitarias circulantes en sangre periferica de pacientes con cancer. Metodos: Se realizo un estudio analitico en 154 pacientes con cancer, atendidos en el Instituto de Oncologia y Radiobiologia de La Habana, durante los anos 2017 a 2019. Se empleo la citometria de flujo multiparametrica para identificar los inmunofenotipos linfocitarios. Este procedimiento se realizo antes de comenzar cualquier tratamiento inmunoterapeutico. Resultados: Los pacientes con cancer mostraron mayor heterogeneidad en la distribucion de las poblaciones linfocitarias respecto a los controles. En los pacientes la mediana de los linfocitos totales y de las subpoblaciones linfocitarias CD3 + , CD4 + , CD8 + y CD19 + fueron significativamente menores. Los linfocitos T dobles positivos (CD4/CD8) se encontraron elevados significativamente. No se hallaron diferencias entre sexos. La edad se asocio negativamente con las concentraciones de las poblaciones T en tumores solidos, y con T y B en los linfomas. En el cancer de prostata se obtuvieron los valores mas bajos de poblaciones linfocitarias. Conclusiones: Los pacientes con cancer tienen menor concentracion de linfocitos en sangre periferica que los controles sanos. Las celulas mas afectadas fueron las subpoblaciones T y los linfocitos B. La edad se asocio negativamente con las concentraciones sanguineas de linfocitos, lo cual pudiera estar en relacion con la inmunosenescencia.
Quantitative and Qualitative Composition of Soil Organic Matter in Samples of Ice Complex from Central Yakutia, Eastern Siberia

Investigation of organic carbon and nitrogen stock was conducted at depths greater than one meter in the ice complex in central part of Yakutia (Russia). Around 53% of the total organic carbon stock in the upper part of the ice complex is held in the active layer. The protective layer holds 31% and the permafrost layer holds 16%. The distribution of nitrogen over the elementary layers of the ice complex mirrors the percentages for organic carbon stocks given above. The total stock of biogenic elements in the ice complex investigated (0–250 cm) consists of 38.7 ± 0.2 kg/m2 of organic carbon and 2.13 ± 0.01 kg/m2 of nitrogen. The prevalent amount is carbon detritus, 40% of the total carbon content in the active layer. The share of labile carbon accounts 18%, that is 2 times less than carbon detritus. In the next two layers, the content of the components decreases and varies from 2% to 12%. The low labile organic matter content in the protective and permafrost layers indicates the development of the ice complex proceeded under conditions with poorly formed organic material.
Identifying Plasmids in Bacterial Genome Assemblies

Despite their importance to bacterial pathogenesis, plasmids are rarely identified in incomplete genome sequences. The free FindPlasmids (FP) package for Windows, Mac OS X, and Linux facilitates identification of plasmids in incomplete genome sequences. FP found plasmids in 98.8% of complete genomes in which they were present, correctly identifying plasmids ranging in number from 1 to 10 plasmids. In a sample of 50 E. coli genome assemblies it has identified from zero to three plasmids ranging in size from 1,549 to 133,843 bp and present in 42% of the assemblies examined.
Noise-induced stabilization of saddle-node ghosts

It is known that saddle-node (s-n) bifurcations leave a saddle remnant (or ghost) in the region of the phase space where the annihilation of the fixed points occurred. The corresponding time delay, td, found right after the bifurcation is known to follow the scaling law td∼(ϵ−ϵc)−1/2, where ϵ and ϵc are the control parameter and its critical value, respectively. While the properties of such delays are well understood for deterministic systems, much less is known about how intrinsic noise influences this phenomenon. As a first step towards analysing this issue, in this article we explore a model with autocatalysis and a two-species hypercycle to analyse the impact of noise on delayed transitions in one- and two-dimensional dynamical systems suffering a s-n bifurcation. The first model is investigated with Gillespie simulations and the diffusion approximation, focusing on the behaviour and properties close to the bifurcation. A Fokker–Planck equation is derived, together with the stochastic potential. We show that the slowing down of the dynamics remains robust to noise. In fact, we prove both analytically and numerically that increasing noise lengthens the delays after bifurcation threshold. Furthermore, the inverse square-root scaling law is not robust to fluctuations. By contrast, scaling properties are identified in the mean extinction times as criticality is approached from above the bifurcation. This noise-induced stabilisation of the delays is also found in the two-dimensional system.
Research Progress of Graphene-Based Materials on Flexible Supercapacitors

With the development of wearable and flexible electronic devices, there is an increasing demand for new types of flexible energy storage power supplies. The flexible supercapacitor has the advantages of fast charging and discharging, high power density, long cycle life, good flexibility, and bendability. Therefore, it exhibits great potential for use in flexible electronics. In flexible supercapacitors, graphene materials are often used as electrode materials due to the advantages of their high specific surface area, high conductivity, good mechanical properties, etc. In this review, the classification of flexible electrodes and some common flexible substrates are firstly summarized. Secondly, we introduced the advantages and disadvantages of five graphene-based materials used in flexible supercapacitors, including graphene quantum dots (GQDs), graphene fibers (GFbs), graphene films (GFs), graphene hydrogels (GHs), and graphene aerogels (GAs). Then, we summarized the latest developments in the application of five graphene-based materials for flexible electrodes. Finally, the defects and outlooks of GQDs, GFbs, GFs, GHs, and GAs used in flexible electrodes are given.
Socio-Demografic Characteristics Associated with Loss to Follow-up of Antiretroviral Therapy Among HIV and AIDS Patients in Semarang City, Central Java Province: A Case Control Study

: Loss to follow-up (LTFU) of clients from antiretroviral therapy (ART) has a great negative impact on the immunological benefits of ART, and increased acquired immune deficiency syndrome related morbidity and mortality. The purpose of this study was to analyze socio-demographic characteristics related to LTFU among HIV and AIDS patients in Semarang City. A case-control study was carried out at Hospitals and Primary Health Centre. Patients who did not take anti-retroviral for 3 months were defined as LTFU while those regularly take anti retro viral for 3 months became the controls. The total sample of the research were 134 respondents obtained by purposive sampling technique. Chi square and logistic regression tests were performed to analyze factors associated with LTFU. The multivariate analyses showed the most dominant factors that influence with LTFU was education level (OR = 6.27. 95% CI: 2.29, 17.09). Intervention on literacy program should be emphasized to patients who are about to start and during the ART program.