Miracle-dz/UniFAR-FTUs huggingface dataset:
WALDEMAR BOJAR Akademia Techniczno-Rolnicza w Bydgoszczy ZARZ DZANIE WIEDZ DZIEDZINOW JAKO CZYNNIK ROZWOJU

W pracy na tle tendencji rozwojowych Systemów Wspomagania Decyzji przedstawiono nowe mo liwo ci w sferze zarz dzania wiedz dziedzinow na podstawie bada własnych w zakresie analizy kosztów mechanizacji produkcji ro linnej. Wskazano na szanse rozwoju DSS w wyniku rozwoju narz dzi sztucznej inteligencji, systemów ekspertowych oraz lepszego dost pu do internetowych danych ródłowych. Na wietlono równie bariery wynikaj ce z trudno ci tworzenia dziedzinowych baz wiedzy, do których nale y rozproszenie i niekompletno parametrów niezb dnych do prowadzenia analiz i interpretacji wyników oraz nieefektywno instrumentów do generowania i eksploatacji baz wiedzy. Taking attention DSS development tendencies, new possibilities in a field of Knowledge Management, on the base of own survey on Cost Analyzing in Crop Production, was presented in the paper. One can meet development chances of DSS being result of development of AI tools, Expert systems and better access to Internet source data. One can highlight also barriers resulted in difficulties in creating Domain Knowledge Bases. Among them is necessary to mention dispersion and not completed parameters necessary for making analysis and interpreting results and also inefficiency of instruments for Knowledge Bases generation and exploitation.
Modeling Euro Area Bond Yields Using a Time-Varying Factor Model

In this paper, we study the dynamics and drivers of sovereign bond yields in euro area countries using a factor model with time-varying loading coefficients and stochastic volatility, which allows for capturing changes in the pricing mechanism of bond yields. Our key contribution is exploring both the global and the local dimensions of bond yield determinants in individual euro area countries using a time-varying model. Using the reduced form results, we show decoupling of periphery euro area bond yields from the core countries yields following the financial crisis and the scope of their subsequent re-integration. In addition, by means of the structural analysis based on identification via sign restrictions, we present time varying impulse responses of bond yields to EA and US monetary policy shocks and to confidence shocks. JEL Classification: C11, G01, E58
On the Centred Hausdorff Measure of the Sierpinski Gasket

We show that the centred Hausdorff measure, $C^{s}(S),$ with $s=\frac{\log3}{\log2},$ of the Sierpinski gasket $S$, is $C$-computable (continuous-computable), in the sense that its value is the solution of the minimisation problem of a continuous function on a compact domain. We also show that $C^{s}(S)$ is $A$-computable (algorithmic-computable) in the sense that there is an algorithm that converges to $C^{s}(S),$ with error bounds tending to zero. Using this algorithm and bounds we show that $C^{s}(S)\sim1.0049,$ and we establish a conjecture for the value of the spherical Hausdorff $s$-measure of $S,$ $\mathcal{H}_{sph}^{s}(S)\sim0.8616$, and provide an upper bound for it, $\mathcal{H}_{sph}^{s}(S)\leq0.8619. $
The Saharan Aerosol Long-range TRansport and Aerosol-Cloud-Interaction Experiment 1 ( SALTRACE ) : overview and selected highlights 2

This is a preliminary PDF of the author-produced manuscript that has been peer-reviewed and accepted for publication. Since it is being posted so soon after acceptance, it has not yet been copyedited, formatted, or processed by AMS Publications. This preliminary version of the manuscript may be downloaded, distributed, and cited, but please be aware that there will be visual differences and possibly some content differences between this version and the final published version.
AES Impact Evaluation With Integrated Farm Data: Combining Statistical Matching and Propensity Score Matching

A large share of the Common Agricultural Policy (CAP) is allocated to agri-environmental schemes (AESs), whose goal is to foster the provision of a wide range of environmental public goods. Despite this effort, little is known on the actual environmental and economic impact of the AESs, due to the non-experimental conditions of the assessment exercise and several data availability issues. The main objective of the paper is to explore the feasibility of combining the non-parametric statistical matching (SM) method and propensity score matching (PSM) counterfactual approach analysis and to test its usefulness and practicability on a case study represented by selected impacts of the AESs in Emilia-Romagna. The work hints at the potentialities of the combined use of SM and PSM as well as of the systematic collection of additional information to be included in EU-financed project surveys in order to enrich and complete data collected in the official statistics. The results show that the combination of the two methods enables us to enlarge and deepen the scope of counterfactual analysis applied to AESs. In a specific case study, AESs seem to reduce the amount of rent-in land and decrease the crop mix diversity.
Calibrated 10 b 28 nm CMOS SAR ADC based on integer-based split capacitors

A calibrated 10 b 5 MS/s 28 nm CMOS successive-approximation-register ADC based on an integer-based split capacitor array is presented. The proposed ADC employs a split capacitor array to optimise the overall power consumption, chip area and linearity performance. An attenuation capacitor between two capacitor arrays is implemented with an integer multiple of unit capacitors rather than a fraction of unit capacitors. The proposed calibration of capacitors reduces the non-linearity error caused by device mismatches in the conventional split capacitor array. The measured prototype ADC which has an active die area of 0.063 mm2 shows a maximum signal-to-noise-and-distortion ratio and spurious-free dynamic range of 59.25 and 70.44 dB, respectively, and consumes 42.5 μW at 0.7 V and 5 MS/s. Moreover, the measured differential non-linearity (NL) and integral NL are within 0.36 and 0.52 least significant bit, respectively, after calibration.
The enhanced risk premium factor model and expected returns

The predictability of the equity risk premium is a central and controversial issue in finance. The risk premium factor model is a recent and novel approach to forecasting the equity risk premium and the level and price earnings ratio of the equity market. This paper aims to overcome the main limitation of, and therefore improve upon, this novel approach. The enhanced risk premium factor model proposed here to forecast the market return is clearly supported by the evidence. Furthermore, a model that articulates the same variables considered in the framework proposed, but that imposes no specific functional form to relate them, produces very highly correlated and unbiased forecasts of the market return.
Marketing Research Prospects for Bioenergy Development Based on Use of Wood Fuel

One of the youngest and most promising sectors of the Russian economy is bioenergy. Research of the Urals scientists shows that bioenergy based on wood fuel has several economic and technical advantages. These issues are considered in some countries as a question of priority fuel, especially in the framework of the Kyoto Protocol. Bioenergy development is especially important for Sverdlovsk region as the region is rich in forest (the forest cover in Russia is 68.6 percent). Therefore, for Ural region and Sverdlovsk region, in particular, the issues of processing wood waste into fuel and promoting the use of alternative sources of energy are more relevant than ever. The authors conducted a marketing research on the prospects of bioenergy development on the basis of the use of wood fuel. It is revealed that the categorical apparatus of marketing and market research in this industry is at a stage of active formation. However, for further effective development of bioenergy, it is necessary to intensify market research and creation of effective mechanisms of economic regulation. Bioenergy in Russia should be cost-effective and accessible to potential investors, producers and consumers. Keywords— marketing, marketing research, green energetics, wood fuel, bioenergetics, pellets, briquettes, bioenergetics-
How Does Innovation Differ across Business Functions? Employee-level Analysis of a Multinational Company

This paper investigates how innovation differs across a company’s business functions. We argue that employees working in different functions of a corporation (e.g. marketing, R&D, top management) differ in terms of the types of innovation they are engaged in, the strategies they adopt to organize their innovative activities, and the factors that spur or hamper their innovation performance. Little is known about this issue, however, which we investigate by making use of a rich novel dataset at the employee-level for the multinational company Telenor. We combine a large survey among nearly 16,000 Telenor employees with an extensive qualitative data collection through interviews in different business units and functions. The empirical results point out the relevance of climate and culture, quality-oriented tasks and external interactions as the key factors supporting employees’ innovation activities. The effects of these factors on innovation are substantially different across business functions of the company.
Disentangling Disentanglement

We develop a generalised notion of disentanglement in Variational Auto-Encoders (VAEs) by casting it as a \emph{decomposition} of the latent representation, characterised by i) enforcing an appropriate level of overlap in the latent encodings of the data, and ii) regularisation of the average encoding to a desired structure, represented through the prior. We motivate this by showing that a) the $\beta$-VAE disentangles purely through regularisation of the overlap in latent encodings, and through its average (Gaussian) encoder variance, and b) disentanglement, as independence between latents, can be cast as a regularisation of the aggregate posterior to a prior with specific characteristics. We validate this characterisation by showing that simple manipulations of these factors, such as using rotationally variant priors, can help improve disentanglement, and discuss how this characterisation provides a more general framework to incorporate notions of decomposition beyond just independence between the latents.
Loss of Rnf43 accelerates Kras-mediated neoplasia and remodels the tumor immune microenvironment in pancreatic adenocarcinoma

RNF43 is an E3 ubiquitin ligase that is recurrently mutated in pancreatic ductal adenocarcinoma (PDAC) and precursor cystic neoplasms of the pancreas. The impact of RNF43 mutations on PDAC is poorly understood and autochthonous models have not been sufficiently characterized. In this study we describe a genetically engineered mouse model (GEMM) of PDAC with conditional expression of oncogenic Kras and deletion of the catalytic domain of Rnf43 (KRC) in exocrine cells. We demonstrate that Rnf43 loss results in an increased incidence of high-grade cystic lesions of the pancreas and PDAC. Importantly, KRC mice have a significantly decreased survival compared to mice containing only an oncogenic Kras mutation. By use of single cell RNA sequencing we demonstrated that KRC tumor progression is accompanied by a decrease in macrophages, as well as an increase in T and B lymphocytes with evidence of increased immune checkpoint molecule expression and affinity maturation, respectively. This was in stark contrast to the tumor immune microenvironment observed in the Kras/Tp53 driven PDAC GEMM. Furthermore, expression of the chemokine, CXCL5, was found to be specifically decreased in KRC cancer cells by means of epigenetic regulation and emerged as a putative candidate for mediating the unique KRC immune landscape. This GEMM establishes RNF43 as a bona fide tumor suppressor gene in PDAC and puts forth a rationale for an immunotherapy approach in this subset of PDAC cases.
Bayesian Inference in the Multinomial Probit Model: A case study

Binary, multinomial and multivariate response models play an important role in the variety of scientific fields. The most commonly encountered response models are Multinomial Logit model (MNL) and Multinomial Probit model (MNP). Being easier to deal with, MNL suffers from an independence of irrelevant alternatives assumption (IIA). MNP model does not have IIA issue, but imposes its own difficulties. A direct estimation of the coefficients in case of MNP model is computationally burdensome. Bayesian approach allows to avoid complex calculations of the maximum likelihood function for MNP model, but it should be applied with caution because of the identification problem. Response models are often applied for prediction of the customers behavior and preferences. The paper is also concerned with using MNP model for prediction of customers retention behavior and lifetime value on the individual level. A Bayesian approach is used to estimate the parameter of interest and models’ adequacy is tested. The results are discussed, leaving some space for future work.
Aperture-Shared Dual-Band Antennas with Partially Reflecting Surfaces for Base-Station Applications

A new approach is proposed to develop aperture-shared dual-band antennas using partially reflecting surfaces (PRSs). A fully aperture-shared dual-band antenna consisting of a low-band antenna (LBA) and a high-band antenna (HBA) right below the LBA is first investigated. The aperture-sharing has little influence on the LBA but causes severe shielding effect on the HBA. To alleviate the shielding effect, a low-pass PRS is inserted between the LBA and HBA, forming an air-filled quasi-Fabry-Perot cavity, which can make compensation for the radiation from the HBA but with little influence on the LBA. A second PRS is introduced above the LBA to enhance the bandwidth for HBA. It is shown that the fully aperture-shared dual-band antenna achieves an impedance bandwidth (|S11|<-15 dB) of ~43.7% (0.68-1.07 GHz) for the LBA and ~45% (1.7-2.7 GHz) for the HBA with an average gain of ~8 dBi and stable radiation patterns. Based on the PRSs, an aperture-shared dual-band antenna subarray is finally developed for base-station applications, which covers the frequency bands of 0.68-0.96 GHz and 1.7-2.7 GHz for 2G/3G/4G mobile communications.
Building relatedness explanations from knowledge graphs

Knowledge graphs (KGs) are a key ingredient for searching, browsing and knowledge discovery activities. Motivated by the need to harness knowledge available in a variety of KGs, we face the problem of building relatedness explanations. Relatedness explanations are graphs that can explain how a pair of entities is related in a KG and can be used in a variety of tasks; from exploratory search to query answering. We formalize the notion of relatedness explanation and present two algorithms. The first, E4D (Explanations from Data) assembles explanations starting from paths in the data. The second algorithm E4S (Explanations from Schema), starting from the KG schema, allows to find paths driven by a specific relatedness perspective. We describe different criteria to build explanations based on information-theory, diversity and their combination. As a concrete application, we introduce relatedness-based KG querying, which revisits the query-by-example paradigm from the perspective of relatedness explanations. We implemented all machineries in the RECAP tool, which is based on RDF and SPARQL. We discuss an evaluation of our explanation building algorithms and a comparison of RECAP with related systems on real-world data.
The Effects of Resistance and Endurance Training on the Liver Tissue FNDC5 mRNA Gene Expression in Male Rats

Background. The accumulation of excess triglyceride in the liver and a decrease in brown adipose tissue is related to the fatty liver disease. Regular physical activity can take part in regulating fat oxidation and inhibiting fat accumulation by creating and releasing some myokines. Nevertheless, the effectiveness of each training method in this regard is still not certain. Objective(s). This study aims at comparing the effects of resistance and endurance training on FNDC5 (the precursor of irisin myokine) gene expression in male rat liver tissues. Methods. Fifteen Wistar male rats (aged 10-12 weeks with an average weight of 331.8 ±63.09 gr) were used. After being taken to the animals’ laboratory, the subjects were randomly assigned to three equal groups viz: control (N=5), endurance (N=5) and resistance (N=5). For the purpose of tissue sampling, all these subjects were anesthetized 72 hours after the experiment had been completed. The liver tissue was immediately removed and then quickly frozen in liquid nitrogen and kept at a temperature of -80o C until RNA extraction. FNDC5 relative gene expression was identified by Real-time PCR method. Results. Data analysis revealed a significant difference in FNDC5 gene expression among the groups (P=0.008, Chi Square=31.791). No significant difference was observed between the resistance training and endurance training groups in FNDC5 gene expression, though (P=0.959). Conclusion. It can be established that both resistance and endurance training can similarly affect the production and secretion of exercise-induced myokines, including FNDC5 irisin, which can in turn protect against obesity and its impacts on the liver tissue by stimulating the process of browning of white fat.
The assessment of the vulnerability of urban textures in earthquake, Case study: two zone in Tabriz city

Urban environments are physically characterized by a small scale alignment of buildings, infrastructure and open spaces with their specific types and dimensions. Urban vulnerability to environmental hazards in the countries with the natural and risky environment has been an important challenge in urban sciences, engineering sciences, management and urban planning. The aim of this paper is Assessment of the vulnerability of urban textures in natural disasters and research type is applied and utilizes both descriptive and analytical methods and have been used geography information system software GIS. The research results show many area of two zone Tabriz city have been located in the sector very high vulnerability. So that /35 in the sector high vulnerability, /25 in the sector very high vulnerability, /28 in the sector moderate vulnerability and /12 in the sector low vulnerability have been located. If this subject is important that zone north have high vulnerability and zone south have low vulnerability.
CN rings in full protoplanetary disks around young stars as probes of disk structure

Bright ring-like structure emission of the CN molecule has been observed in protoplanetary disks. We investigate whether such structures are due to the morphology of the disk itself or if they are instead an intrinsic feature of CN emission. With the intention of using CN as a diagnostic, we also address to which physical and chemical parameters CN is most sensitive. A set of disk models were run for different stellar spectra, masses, and physical structures via the 2D thermochemical code DALI. An updated chemical network that accounts for the most relevant CN reactions was adopted. Ring-shaped emission is found to be a common feature of all adopted models; the highest abundance is found in the upper outer regions of the disk, and the column density peaks at 30-100 AU for T Tauri stars with standard accretion rates. Higher mass disks generally show brighter CN. Higher UV fields, such as those appropriate for T Tauri stars with high accretion rates or for Herbig Ae stars or for higher disk flaring, generally result in brighter and larger rings. These trends are due to the main formation paths of CN, which all start with vibrationally excited H2* molecules, that are produced through far ultraviolet (FUV) pumping of H2. The model results compare well with observed disk-integrated CN fluxes and the observed location of the CN ring for the TW Hya disk. CN rings are produced naturally in protoplanetary disks and do not require a specific underlying disk structure such as a dust cavity or gap. The strong link between FUV flux and CN emission can provide critical information regarding the vertical structure of the disk and the distribution of dust grains which affects the UV penetration, and could help to break some degeneracies in the SED fitting. In contrast with C2H or c-C3H2, the CN flux is not very sensitive to carbon and oxygen depletion.
CCN2 Increases TGF-β Receptor Type II Expression in Vascular Smooth Muscle Cells: Essential Role of CCN2 in the TGF-β Pathway Regulation

The cellular communication network factor 2 (CCN2/CTGF) has been traditionally described as a mediator of the fibrotic responses induced by other factors including the transforming growth factor β (TGF-β). However, several studies have defined a direct role of CCN2 acting as a growth factor inducing oxidative and proinflammatory responses. The presence of CCN2 and TGF-β together in the cellular context has been described as a requisite to induce a persistent fibrotic response, but the precise mechanisms implicated in this relation are not described yet. Considering the main role of TGF-β receptors (TβR) in the TGF-β pathway activation, our aim was to investigate the effects of CCN2 in the regulation of TβRI and TβRII levels in vascular smooth muscle cells (VSMCs). While no differences were observed in TβRI levels, an increase in TβRII expression at both gene and protein level were found 48 h after stimulation with the C-terminal fragment of CCN2 (CCN2(IV)). Cell pretreatment with a TβRI inhibitor did not modify TβRII increment induced by CCN2(VI), demonstrating a TGF-β-independent response. Secondly, CCN2(IV) rapidly activated the SMAD pathway in VSMCs, this being crucial in the upregulation of TβRII since the preincubation with an SMAD3 inhibitor prevented it. Similarly, pretreatment with the epidermal growth factor receptor (EGFR) inhibitor erlotinib abolished TβRII upregulation, indicating the participation of this receptor in the observed responses. Our findings suggest a direct role of CCN2 maintaining the TGF-β pathway activation by increasing TβRII expression in an EGFR-SMAD dependent manner activation.
ROS Antioxidative and Prooxidative Properties of Dietary Unsaturated Fatty Acids

| Unsaturated fatty acids are considered potential agents for preventing and treating cardiovascular diseases and cancer. The aim of this review is to present available data concerning the activity of unsaturated fatty acids in humans and its possible applications as antioxidants or prooxidants. Biochemical transformations of ω-9, ω-6, and ω-3 fatty acids in the human body as well as fatty acid metabolism are described. The activity of unsaturated fatty acids varies depending on the cell type and fatty acid chemical structure. They may act as antioxidants in normal cells and as prooxidants in tumor cells. Therefore, their complex and cell type-dependent mechanism of action can be used in the treatment of cancer as well as other diseases.
Maturity Model du Jour : A Recipe for Side Dishes

At the turn of the century Tom DeMarco, an IT guru, joked that “there is now a maturity model for every aspect of our daily lives”. By now there are probably at least two per aspect, accelerating toward three by the end of this decade. While anything including tips for aging gracefully can be called a ‘maturity model’, precious few of these upstarts have the power of the original Capability Maturity Model (CMM) for guiding improvement. Realistically, we only need a handful of maturity models. Most in the motley array of maturity models would be better served as extensions to a small set of core maturity models that do the heavy lifting of organizational change.