Miracle-dz/UniFAR-FTUs huggingface dataset:
Protective Efficacy of Chitosan Coupled Johne’s Disease Vaccine

Background: Johne’s disease (JD) is a chronic, economically important disease of domestic ruminants. Continuous efforts are being made to develop a potent vaccine for JD which confer a longer immunity. The present study was aimed at developing chitosan nanoparticles coupled JD vaccine and assess its efficacy. Methods: Potency of a heat killed, chitosan nanoparticle coupled JD vaccine developed with an Indian isolate of Mycobacterium avium subsp paratuberculosis (MAP) was tested in 107 goats. Pre and post immunization blood samples were collected at different time points and peripheral blood mononuclear cells were used for assessing IFN-γ, IL-2, IL-10 and IL-12 gene expressions. Immunized animals were challenged with a field isolate of MAP and the immune response was assessed. Result: Immunized goats were safe with no untoward reactions. Cytokine gene expression studies indicated a good Th1 response during 3-14 wk post immunization. The initial Th1 response was followed by a good Th2 response with a better IL-10 response than the IFN-γ and IL-2 responses in vaccinated animals at 23 wk PI. Both Th1 and Th2 responses were significantly higher in immunized animals at 23 and 34 weeks post challenge indicating a protective immune response.
A volatilidade idiossincrática melhora a explicação dos retornos precificáveis?

The objective of this paper was to investigate if idiosyncratic volatility could be able to improve the explanation of the returnable prices. For this, the CAPM model of Fama & French was used, and based on works such as Ang et al. (2006) and Leite et al. (2016), the volatility fator was included. The difference of this work is the inclusion of portfolio volatility as well as in the calculation of this one that was obtained using the GJR-GARCH model. The study scope was the Brazilian capital market, between 2007 and 2017. The empirical results showed that the inclusion of volatility improves the explanation of the CAPM model Fama & French, fact evidenced by the sensible increase of adjusted R² of the regressions. In addition, it was noted that volatility, when significant, had an opposite relationship with return. When comparated, idiosyncratic volatility was further explained as explaining returns compared to market volatility, which indicates that the information on the montage of portfolios and their oscillations of individual returns seem to be more relevant than market movement, a result that becomes relevant both for hedging and for the search for maximization of returns by investors.
Thin kerf cutting forces of frozen and non-frozen Norway spruce and Scots pine wood

ABSTRACT Reducing the kerf width in bandsawing has potential in reducing waste while optimising the yield. To be able to reduce the kerf width, understanding the cutting forces becomes critical. In this work, nine cutting teeth with varying band-body thicknesses and side clearances were tested by cutting both heartwood and sapwood of Norway spruce (Picea abies (L.) Karst. ) and Scots pine (Pinus sylvestris L.) in frozen and non-frozen conditions. Single cutting teeth were moved into rotating wood samples in the 90–90° cutting direction, with chip thicknesses of 0.9 mm per cut. The main and normal cutting forces were measured. Scots pine had a higher density than Norway spruce and, therefore, a higher main cutting force. Non-frozen sapwood, non-frozen heartwood and frozen heartwood resulted in similar main cutting forces, but frozen sapwood resulted in significantly higher main cutting forces. Reducing the cutting width by about 45% resulted in an approximately 40% reduction in the main cutting force. The normal forces were not significantly affected by the species or cutting width. Frozen heartwood, non-frozen heartwood and non-frozen sapwood had similar normal cutting forces. Frozen sapwood had negative normal forces, and thus self-feeding was observed.
A Feasible and Efficient Method for Biometric Authentication Using Anomaly Detection Together with Cloud Computing

Biometric identification is turned out to be progressively famous in ongoing years with the improvement of distributed computing, proprietors of database are persuaded to redistribute the broad volume of biometric information and detection undertakings to the cloud to dispose of the costly capacity and calculation charges, which, in any case, conveys potential dangers to clients' security. In this paper, we proposed a productive and security shielding bio-metric ID re-appropriating plan. In particular, the biometric to execute a biometric distinguishing proof, the server encodes the request and sends the data to the cloud. The cloud performs distinguishing proof assignments over the varied database and returns the resultant data to the owner of the database. A careful investigation shows that the proposed plan is secure regardless of whether assailants can manufacture identification demands and connive with the cloud. Contrasted and past conventions, trial results demonstrate that the proposed plot accomplishes a superior execution in both readiness and identification methodology.
Computational design of two‐dimensional magnetic materials

As a long‐standing research topic in materials physics and chemistry, magnetic materials have been receiving increasing attention for their applications in spintronic devices, such as spin field‐effect transistor and data‐storage memory. Two‐dimensional (2D) magnets are a family of emerging magnetic materials with atomically thin thickness, which can be easily integrated into heterostructural devices, providing incredible possibility for understanding 2D magnetism and great potential for applications in future ultrathin spintronic devices. Recent effort from theory, simulations and experiments has made notable progress on 2D magnets and devices, especially on 2D van der Waals materials and heterojunctions. Here theoretical advances using physical models and computational approaches on the study of new 2D magnets and devices are briefly summarized and possible directions for future investigation are extensively discussed, which may inspire growing interest on the development and applications of 2D magnets and spintronic devices.
Use of protein kinase C and phospholipase A2 inhibitors in bovine endometrial cells treated with estradiol and calcium ionophore

A liberacao endometrial de prostaglandina-F2α (PGF2α) em femeas bovinas pode ser induzida in vivo pelo estradiol (E2). Entretanto o seu mecanismo de acao ainda nao foi bem esclarecido. Nossa hipotese e que o E2 estimula a atividade e a abundância da proteina quinase C (PKC) e da fosfolipase A2 (PLA2). Nosso objetivo com este estudo foi analisar os efeitos de inibidores de PKC e PLA2 na sintese de PGF2α induzida por E2 e ionoforo de calcio (CI) em celulas endometriais bovinas (celulas BEND; Experimento 1). Adicionalmente, nos avaliamos a abundância de PKC e PLA2 em explantes endometriais de vacas tratadas com ou sem E2 17 dias apos o estro (D17, D0 = estro; Experimento 2). No Experimento 1, celulas BEND foram submetidas ao inibidor de PKC (10 μM de C25H24N4O2; bisindolylmaleimide I, ou BIS I), e ao inibidor de PLA2 (20 μM de arachydoniltrifluoromethane ou AACOCF3) ou a nenhum inibidor. As celulas BEND foram subsequentemente tratadas com E2 e CI e concentracoes de PGF2α foram mensuradas no meio de cultura por radioimunoenssaio. Para DIF-12 (concentracao de PGF2α 12 horas depois do tratamento, subtraida da concentracao de PGF2α na hora 0), nao foi observado efeito do inibidor de PKC (P = 0.2709). Entretanto DIF-12 foi menor (P < 0.05) nos grupos tratados com inibidor de PLA2 e inibidor de PLA2 + CI + E2 quando comparados com o grupo controle e o grupo CI + E2. O AACOCF3 foi um eficiente inibidor de PLA2 em sistema de cultura de celulas BEND e o E2 nao estimulou a sintese de PKC e PLA2. No Experimento 2, novilhas Nelore ciclicas receberam 3 mg de 17β-E2 (n = 6) ou nenhum tratamento (n = 5) no D17 e foram abatidas duas horas depois da administracao dos tratamentos. A quantidade de PKC e PLA2 no tecido endometrial foi avaliada pela tecnica de Western Blotting. Nao foi observado efeito do E2 sobre a PKC (P= 0.08) e nem sobre a PLA2 (P= 0.56). Conclui-se que o E2 nao estimulou a atividade e abundância de PKC e PLA2.
Synchronized Entry-Traffic Flow Prediction for Regional Expressway System Based on Multidimensional Tensor

Predicting entry-traffic flows synchronously could enable inferences about the changing trends and spatial structure of dynamic traffic flows in an expressway network. This research develops a synchronized entry-traffic flow prediction method for regional expressway systems. The new method first organizes numerous entry-traffic flows as a three-dimensional (time slots, spatial locations, and vehicle types) tensor, then applies tensor decomposition to extract their temporally changing features. After forecasting the temporally changing features, predicted values of entry-traffic flows can be calculated synchronously by tensor reconstruction. Data from hourly entry-traffic flows involving nine vehicle types and 201 spatial locations in a regional expressway system of China are used to discuss the performance of this new method. The results show that the new method could obtain prediction results with high overall accuracy. Comparative experiments indicate that the new method and existing methods (autoregressive integrated moving average, or ARIMA, and Holt-Winters) could generate prediction results with similar accuracy. However, the proposed method has the advantage of reducing the number of time series that need to be handled in the prediction of numerous entry-traffic flows for regional expressway systems. This method might be helpful for administrators to guide and manage vehicles so that they enter the expressway system effectively.
Transcatheter Versus Surgical Aortic Valve Replacement on Hemodynamic and Left Ventricular Remodeling: A Meta-Analysis

Background Transcatheter aortic valve replacement (TAVR) has become the choice for the treatment of severe aortic stenosis(AS) patients at high surgical risk in clinical practice. This meta-analysis aimed to further investigate the effect of the relative hemodynamics and postoperative LV remodeling by TAVR and surgical aortic valve replacement(SAVR). Methods Relevant studies were identified via systematic searches of PubMed, Google Scholar, and the Cochrane database. Relevant data were pooled as weighted mean difference (WMD) or odds risk(OR), with their 95% confidence intervals (CI). A random-effect model or fixed effect model was utilized according to the results of the heterogeneity test. Results The results indicated that peak aortic pressure gradient (WMD=-3.86, 95%CI(-6.63,-1.09), P = 0.006) and left ventricular ejection fraction (LVEF%) (WMD=-0.66, 95%CI(-1.31,-0.22), P = 0.045) were lower in the TAVR group compared with the SAVR group, but there was no significant difference between TAVR group and SAVR group in effective orifice area(EOA)(WMD = 0.05, 95%CI(-0.19,0.28), P = 0.697), left ventricular mass(LVM)(WMD = 5.24, 95%CI(-10.33, 20.80), P = 0.509). Compared with SAVR group, the incidence of prosthesis-patient mismatch(PPM) was significantly lower in the TAVR group(OR = 0.37, 95% CI(0.23, 0.61), P < 0.0001). Conclusion For patients with severe AS, TAVR could have better performance on the hemodynamics than after SAVR in terms of peak aortic pressure gradient, LVEF%, and the incidence of PPM, TAVR was comparable to SAVR at LV remodeling.
Fault-Tolerant Quantized Sliding Mode Observers Design for a Class of Takagi-Sugeno Fuzzy System With Unmeasurable Premise Variable

This article addresses the state and fault estimation problems for a class of quantized Takagi–Sugeno (T-S) fuzzy systems with sensor and actuator faults. Two types of observer design methods are developed for two different network transmission environments. In the first case, the signal quantization effect is only considered on the channel between sensor and controller, and a sliding mode observer is designed, which can reconstruct the actuator faults. In the second case, the quantization effects are considered in both the sensor-controller side and the controller-actuator side, which is more difficult to be dealt with compared to the first case, and the sliding mode observer method cannot be effective now since the discontinuous term is difficult to be designed. A descriptor reduced-order observer is presented to solve this problem, where the jumping behavior that resulted from the signal quantization is considered in the observer, which is novel and effective to compensate the quantization effects. Finally, simulation examples of rigid-body satellite attitude control T-S fuzzy system are presented to verify the effectiveness of the proposed observer design approaches.
Assessment of Tuscany Landscape Structure According to the Regional Landscape Plan Partition

The landscape is considered a strategic asset by the Tuscan regional government, also for its economic role, meaning that a specific Landscape Plan has been developed, dividing the region into 20 Landscape Units and representing the main planning instrument at the regional level. Following the aims of the Landscape Plan and the guidelines of the European Landscape Convention, it is necessary to develop an adequate assessment of the landscape, evaluating the main typologies and their characteristics. The aim of this research is to carry out an assessment of the landscape diversity in Tuscany based on 20 study areas, analyzing land uses and landscape mosaic structures through the application of landscape metrics: number of land uses, mean patch size (MPS), Hill’s diversity number, edge density (ED), patch density (PD), land use diversity (LUD). The results highlight a correlation between the landscape typologies (forest, agricultural, mixed, periurban) and the complexity of the landscape structure, especially in relation to MPS and PD, while the combination of PD and LUD calculated on the basis of a hexagonal grid allows obtaining landscape complexity maps. Despite the phenomena of reforestation and urban sprawl of recent decades, Tuscany still preserves different landscape typologies characterized by a good level of complexity. This is particularly evident in mixed landscapes, while agricultural landscapes have a larger variability because of different historical land organization forms. The methodology applied in this study provided a large amount of data about land uses and the landscape mosaic structure and complexity and proved to be effective in assessing the landscape structure and in creating a database that can represent a baseline for future monitoring.
Understanding Twitter conversations about artificial intelligence in advertising based on natural language processing

Abstract Artificial intelligence (AI) has been widely applied in the advertising industry and attracted increasing attention from advertising scholars. However, the general public’s perceptions of AI in advertising have been relatively neglected within the current literature. In this study, we analyzed people’s posts on Twitter about AI in advertising using natural language processing. Specifically, we conducted topic modeling and sentiment analysis in the Python environment to identify the most salient topics on this issue and the sentiment of these topics. We discovered that what people posted on Twitter about AI in advertising fell into eight different clusters, with the most positive topic being “AI-powered marketing tools” and the most negative topic being “AI’s involvement in social media campaigns. ” We believe the findings of this study provide meaningful implications for academic research of AI advertising as well as the implementation of AI in advertising practice.
No good deed goes unpunished: the social costs of prosocial behaviour

Abstract Abstract Performing costly helpful behaviours can allow individuals to improve their reputation. Those who gain a good reputation are often preferred as interaction partners and are consequently better able to access support through cooperative relationships with others. However, investing in prosocial displays can sometimes yield social costs: excessively generous individuals risk losing their good reputation, and even being vilified, ostracised or antisocially punished. As a consequence, people frequently try to downplay their prosocial actions or hide them from others. In this review, we explore when and why investments in prosocial behaviour are likely to yield social costs. We propose two key features of interactions that make it more likely that generous individuals will incur social costs when: (a) observers infer that helpful behaviour is motivated by strategic or selfish motives; and (b) observers infer that helpful behaviour is detrimental to them. We describe how the cognition required to consider ulterior motives emerges over development and how these tendencies vary across cultures – and discuss how the potential for helpful actions to result in social costs might place boundaries on prosocial behaviour as well as limiting the contexts in which it might occur. We end by outlining the key avenues and priorities for future research.
RIGHT SIDED ENDOCARDITIS: CASE SERIES FROM MOROCCO

Objective: Compared with the extensive data on left sided infective endocarditis, right-sided infective endocarditis (RSIE) remains a rare condition. It accounts for 5Ã¢Â€Â“10% of all cases of infective endocarditis (IE) [1] [2] [3]. Although it is predominantly encountered in the injecting drug user (IDU) population, where HIV and HCV infections often coexist, rheumatic heart disease remains the most important predisposing factor for IE in our context. The aim our study is to report clinical, investigation, management and outcome data in 5 patients diagnosed with RSIE in our department during the last 2 years. Methods: A retrospective analysis of data of 5 patients with right sided endocarditis in a tertiary care center from 2018 to 2020 was done. Results: All of our patients were young aged females none of them had cardiac devices or history of drug use. Persistent fever was the most common clinical presentation. Interestingly, 4 patients presented clinical heart failure. 3 patients had isolated tricuspid valve IE, one patient had isolated pulmonary valve IE, and one patient have both tricuspid and pulmonary valve IE. Blood cultures were negative in two cases, whilst two others were positive to Streptococcus (alpha) and one positive to Staphylococcus. 4 patients underwent surgical treatment after well conducted antibiotic therapy the indications were the presence of right heart failure secondary to severe tricuspid regurgitation and the size of the vegetations. Unfortunately, one patient died of massive pulmonary embolism despite well conducted antibiotherapy. Conclusion: RSIE is rare and occurs in a wide range of underlying conditions like implantable electronic devices, indwelling catheters, CHD and immune compromised state. Surprisingly, it can occur in young individuals without known risk factors. In our context, rheumatic heart disease remains the most incriminated etiology which lead us to question three essential points: 1. The interest of antibiotic prophylaxis in young patients with VSDs 2. The use of empiric antibiotics with action against streptococcus 3. Early surgical treatment in rheumatic heart disease.
A compact dual-band D-CRLH-based antenna with self-isolation functionality

Abstract This paper presents a compact dual-band filtering antenna without extra employing of filter structures. The antenna is designed using a planar dual-composite right/left-handed (D-CRLH) transmission line unit cell, where the filtering function is achieved through current cancellation between the D-CRLH resonators. The antenna is designed to function at 3.0 and 5.1 GHz, which can serve different WLAN applications. The antenna is a co-planar waveguide fed with a very compact size of only 30 × 16 mm2. Compared to the conventional patch antenna, the antenna size is only 17% at 3.0 GHz and 31% at 5.1 GHz. Despite the small size, the antenna preserves a good omni-directional radiation pattern at the two resonant frequencies with a measured realized gain of 2 and 2.7 dB, respectively. At the stopband in-between the two resonant bands, the reflection coefficient is almost 0 dB at 4.25 GHz and complete non-radiation is proved with a −11 dB measured realized gain. The different antenna filtering functions are verified by full-wave simulation and measurements.
Audiovisual speech perception in children: a scoping review

ABSTRACT This scoping review provides a descriptive synthesis of available evidence on children's audiovisual speech perception. We used eight databases to identify the experimental studies published 2000–2019, and reported the data using the guidelines of PRISMA-ScR designed for scoping reviews. While research conducted prior to 2000 provided a strong foundation in this area, the past two decades have brought technical advances that have allowed for more precise measurement of audiovisual speech perception. Thirty-eight studies were identified: 18 articles that focused on children with typical development, 9 focused on children with autism spectrum disorder, 8 focused on children with speech and language disorders, and 3 focused on children with hearing loss. Most of the studies identified were behavioral studies, while a minority reported on neuroanatomical correlates underlying the audiovisual speech perception. Through this scoping review, key gaps were identified that include few studies in clinical populations, a few studies on languages other than English, and variability in terminology to describe similar or overlapping concepts. Further research is needed to inform the development and mechanisms of audiovisual speech integration in children with different language development paths. In addition, the use of common terminology in future research would improve access to evidence and the communication of this knowledge for researchers and clinicians.
Enabling the Circular Economy transition: a sustainable lean manufacturing recipe for Industry 4.0

Funding information University of Messina Abstract Over the past 10 years, the concepts and objectives of circular economy have been increasingly detailed and become strategic issues of international, European, and national policies. However, the transition towards circular production models continues to be affected by several barriers and critical factors that make the transition difficult to achieve. The paper tries to design a relationship between sustainable production and lean production, highlighting the opportunity to invest in reverselogistics and how Industry 4.0 system represents a breeding ground for circular economy targets application. The aim of the current study is to examine the relationships among sustainable production, lean production, and Industry 4.0 in order to evidence the need to adopt a lean methodology and Industry 4.0 technologies in a sustainable development perspective for companies. Following a holistic vision, the authors summarize the production principles and formulas, which, although in parallel, lead to similar results and therefore represent the pillars of a competitive and sustainable business. In conclusion, exploring the circular economy principles and production chain model, challenges, opportunities, and future outlooks are formulated.