Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors affecting the exit from farming of young farmers in Turkey: the case of Niğde province

EnglishThis study has focused on the factor affecting the exit from farming of young farmers, since it is an important issue in many provinces of Turkey. Data obtained through face-to-face interview method with 85 selected young farmers (aged 15-40 years) engaged in agricultural activity in the Nigde province in 2017. Logistic regression model based upon the dependent variable decision to exit from farming was used to determine relevant factors. According to results, number of children, the presence of house in the city center and the monthly income level has effects to exit from farming. Young farmers have priorities to reach a better life conditions for their children such as better education and health care services. Rural investment support should be increased; entrepreneurship and innovation trainings should be expanded by encouraging training on agriculture. It would be beneficial to develop different applications such as distance learning modules and digital agriculture. Key words: rural; agriculture; exit from farming; young farmers portuguesEste estudo centrou-se no fator que afeta a saida da agricultura de jovens agricultores, uma vez que e uma questao importante em muitas provincias da Turquia. Dados obtidos atraves do metodo de entrevista presencial com 85 jovens agricultores selecionados (com idade entre 15 e 40 anos) envolvidos na atividade agricola na provincia de Nigde em 2017. Modelo de regressao logistica baseado na variavel dependente decisao de sair da agricultura foi usado para determinar fatores relevantes. De acordo com os resultados, o numero de criancas, a presenca de casa no centro da cidade e o nivel de renda mensal tem efeitos para sair da agricultura de jovens agricultores na provincia de Nigde. Os jovens agricultores tem prioridades para alcancar melhores condicoes de vida para seus filhos, como melhor educacao e servicos de saude. O apoio ao investimento rural deve ser aumentado e os treinamentos de empreendedorismo e inovacao devem ser expandidos, incentivando a capacitacao em agricultura. Com isso, seria benefico desenvolver diferentes aplicacoes, como modulos de ensino a distância e agricultura digital. Palavras-chave: rural; agricultura; saida da agricultura; jovens agricultores
Using Dynamic Panel Data Modeling to Study Net FDI Inflows in MENA Countries

Foreign direct investment (FDI) plays a critical role in providing financial capital needs, technology transfer, and creating more jobs in the host country. It also helps economies to increase competitiveness and productivity, thereby increasing exports and enhancing opportunities for growth and development. Middle East and North Africa (MENA) countries are in desperate need of more FDI inflows to resolve their economic problems. This paper investigates the determinants of net FDI inflows to 23 countries in MENA region during the period from 1995 to 2017 by using static and dynamic panel data analysis. The results indicate that macro determinants, such as gross domestic product (GDP) growth rate, openness, the inflation rate, and public expenditure have a significant impact on net FDI inflows. In addition, we observe that rents from natural resource (oil), exchange rate, and total reserves of foreign exchange and monetary gold do not significantly influence FDI.
Examining The Non-Linearities In Inflation-Growth Nexus: Further Evidence From a Fixed-Effect Panel Threshold Regression Approach For The Sacu Region

Abstract This paper considers the contentious issue regarding the relationship between inflation and economic growth in a context of the world's first customs union - Southern African Customs Union (SACU). It examines the non-linear relationship between inflation and growth using a Panel Threshold Regression (PTR) on a dataset over the period 1980 to 2016. The study rejects the null hypothesis of a linear relationship between inflation and growth and that there exists a statistically significant negative impact of inflation on growth when inflation rates rise above the threshold of 10.2%. We also found that the size of the growth effect of inflation is stronger in the upper inflation regime. Descriptive results from our threshold variance analysis show that variance in inflation rates is higher when inflation is above the threshold level and this is mostly associated with higher variance in growth. Taken together, these findings imply that stable economic growth may be achieved by keeping inflation below the threshold to attract both domestic and foreign investment while individual governments imbibe fiscal discipline as means of controlling inflationary pressures created by rising government consumption.
How Accurate are South African Macroeconomic Forecasts?

Abstract This paper considers the ex post accuracy of two published sets of macroeconomic forecasts: the Economist Intelligence Unit’s (EIU’s) Country Report and the “Economist of the Year” consensus forecast, sponsored by Media 24. Root weighted mean square errors (RWMSEs) of these two competing entities’ forecasts are, on average, about 60% of the RWMSEs of adaptive naïve predictions for current-year forecasts and about 75% of the RWMSEs of adaptive naïve predictions for one- year-ahead forecasts. There is no substantial difference in the forecast accuracy of the two entities, despite large differences in forecasting methodology. Forecasts are revised on a monthly basis. Monthly revisions in Media 24’s consensus forecast are substantially more likely to reduce forecast errors than the EIU’s monthly forecast revisions. Revisions in the next-year forecasts for GDP growth and inflation are only marginally better than random, and thus such revisions have little credibility.
Long Range Dependence in G7 Stock Markets’ Return Rates Using Mutual Information and Detrended Cross-Correlation Analysis

According to theory, return rates are expected to have no memory, meaning that return rates do not show autocorrelation. Most studies find evidence of absence of linear autocorrelations, although other types of dependence exist. This paper analyzes the existence of long range dependence in G7 stock markets, applying two different methodologies which allow nonlinear behavior of return rates: mutual information and the correlation coefficient calculated from detrended cross-correlation analysis. We apply these methodologies to stock markets, calculating them for the first ten lags of each time series. It is possible to conclude on the existence of nonlinearity and long-term dependence in return rates for the seven indexes studied.
Identification and Characterization of Mediators of Fluconazole Tolerance in Candida albicans

Candida albicans is an important human pathogen and a major concern in intensive care units around the world. C. albicans infections are associated with a high mortality despite the use of antifungal treatments. One of the causes of therapeutic failures is the acquisition of antifungal resistance by mutations in the C. albicans genome. Fluconazole (FLC) is one of the most widely used antifungal and mechanisms of FLC resistance occurring by mutations have been extensively investigated. However, some clinical isolates are known to be able to survive at high FLC concentrations without acquiring resistance mutations, a phenotype known as tolerance. Mechanisms behind FLC tolerance are not well studied, mainly due to the lack of a proper way to identify and quantify tolerance in clinical isolates. We proposed here culture conditions to investigate FLC tolerance as well as an easy and efficient method to identity and quantify tolerance to FLC. The screening of C. albicans strain collections revealed that FLC tolerance is pH- and strain-dependent, suggesting the involvement of multiple mechanisms. Here, we addressed the identification of FLC tolerance mediators in C. albicans by an overexpression strategy focusing on 572 C. albicans genes. This strategy led to the identification of two transcription factors, CRZ1 and GZF3. CRZ1 is a C2H2-type transcription factor that is part of the calcineurin-dependent pathway in C. albicans, while GZF3 is a GATA-type transcription factor of unknown function in C. albicans. Overexpression of each gene resulted in an increase of FLC tolerance, however, only the deletion of CRZ1 in clinical FLC-tolerant strains consistently decreased their FLC tolerance. Transcription profiling of clinical isolates with variable levels of FLC tolerance confirmed a calcineurin-dependent signature in these isolates when exposed to FLC.
Primarily Disrupted Default Subsystems Cause Impairments in Inter-system Interactions and a Higher Regulatory Burden in Alzheimer's Disease

Background: Intrinsically organized large-scale brain networks and their interactions support complex cognitive function. Investigations suggest that the default network (DN) is the earliest disrupted network and that the frontoparietal control network (FPCN) and dorsal attention network (DAN) are subsequently impaired in Alzheimer's disease (AD). These large-scale networks comprise different subsystems (DN: medial temporal lobe (MTL), dorsomedial prefrontal cortex (DM) subsystems and a Core; FPCN: FPCNA and FPCNB). Our previous research has indicated that different DN subsystems are not equally damaged in AD. However, changes in the patterns of interactions among these large-scale network subsystems and the underlying cause of the alterations in AD remain unclear. We hypothesized that disrupted DN subsystems cause specific impairments in inter-system interactions and a higher regulatory burden for the FPCNA. Method: To test this hypothesis, Granger causality analysis (GCA) was performed to explore effective functional connectivity (FC) pattern of these networks. The regional information flow strength (IFS) was calculated and compared across groups to explore changes in the subsystems and their inter-system interactions and the relationship between them. To investigate specific inter-system changes, we summed the inter-system IFS and performed correlation analyses of the bidirectional inter-system IFS, which was compared across groups. Additionally, correlation analyses of dynamic effective FC patterns were performed to reveal alterations in the temporal co-evolution of sets of inter-subsystem interactions. Furthermore, we used partial correlation analysis to quantify the FPCN's regulatory effects. Finally, we applied a support vector machine (SVM) linear classifier to probe which network most effectively discriminated patients from controls. Results: Compared with controls, AD patients showed a decreased intra-DN regional IFS, which was significantly related to the inter-network's IFS. The IFS between the DN subsystems and FPCN subsystems/DAN decreased. Critically, the correlation values of the decreased bidirectional IFS between the DN subsystems and FPCNA diminished. Additionally, the Core and DM play pivotal roles in disordered temporal co-evolution. Furthermore, the FPCNA showed enhanced regulation of the Core. Finally, the MTL subsystem and Core were effective at discriminating patients from controls. Conclusion: The predominantly disrupted DN subsystems caused impaired inter-system interactions and created a higher regulatory burden for the FPCNA.
A TLR7/8 Agonist-Including DOEPC-Based Cationic Liposome Formulation Mediates Its Adjuvanticity Through the Sustained Recruitment of Highly Activated Monocytes in a Type I IFN-Independent but NF-κB-Dependent Manner

Novel adjuvants, such as Toll-like receptors (TLRs) agonists, are needed for the development of new formulations able to circumvent limitations of current vaccines. Among TLRs, TLR7/8 agonists represent promising candidates, as they are well described to enhance antigen-specific antibody responses and skew immunity toward T helper (TH) 1 responses. We find here that the incorporation of the synthetic TLR7/8 ligand 3M-052 in a cationic DOEPC-based liposome formulation shifts immunity toward TH1 responses and elicits strong and long-lasting germinal center and follicular T helper cell responses in adult mice. This reflects the prolonged recruitment of innate cells toward the site of immunization and homing of activated antigen-loaded monocytes and monocyte-derived dendritic cells toward draining lymph nodes. We further show that this adjuvanticity is independent of type I IFN but NF-κB-dependent. Overall, our data identify TLR7/8 agonists incorporated in liposomes as promising and effective adjuvants to enhance TH1 and germinal center responses.
A Device for Children’s Instrumental Creativity and Learning: An Overview of the MIROR Platform

This article presents the pedagogical paradigm of reflexive interaction and its application in the field of technology-enhanced learning and children’s musical creativity. The main feature of reflexive interaction is the repetition-variation mechanism: something is repeated and varied during the interaction, through a continual process of imitation and variation. In the context of the MIROR project (EU-ICT Project), we exploited the educational potential of the reflexive interaction paradigm and implemented the MIROR platform, an educational device consisting of a set of softwares that implement the reflexive paradigm not only in music improvisation (as was the case for the first interactive reflexive system), but also in the field of music composition and dance. The platform was conceived as a tool to stimulate and develop musical and motor creativity in children, although it can also be used to teach a specific musical instrument. The hypothesis of the MIROR project was that reflexive interaction sustains and promotes the learning and creative expression processes of music and movement. This initial hypothesis, which stemmed mainly from the pilot study in which we observed children who were interacting with the first prototype of the interactive reflexive musical system, was subjected to a series of empirical studies conducted within the MIROR project, and was theoretically defined in order to lay down the foundations of the reflexive interaction paradigm and its pedagogical implications. This article summarizes the state-of-the-art of the project and brings together, in a comprehensive overview, the theoretical framework, the pedagogical concepts, the empirical studies, and the description of the MIROR platform, with the aim to reflect on the results achieved so far and point out the contribution of the reflexive perspective to the field of children’s instrumental learning and creativity.
Molecular and Functional Study of Transient Receptor Potential Vanilloid 1-4 at the Rat and Human Blood–Brain Barrier Reveals Interspecies Differences

Transient receptor potential vanilloid 1-4 (TRPV1-4) expression and functionality were investigated in brain microvessel endothelial cells (BMEC) forming the blood–brain barrier (BBB) from rat and human origins. In rat, Trpv1-4 were detected by qRT-PCR in the brain cortex, brain microvessels, and in primary cultures of brain microvessel endothelial cells [rat brain microvessel endothelial cells (rPBMEC)]. A similar Trpv1-4 expression profile in isolated brain microvessels and rPBMEC was found with the following order: Trpv4 > Trpv2 > Trpv3 > Trpv1. In human, TRPV1-4 were detected in the BBB cell line human cerebral microvessel endothelial cells D3 cells (hCMEC/D3) and in primary cultures of BMEC isolated from human adult and children brain resections [human brain microvascular endothelial cells (hPBMEC)], showing a similar TRPV1-4 expression profile in both hCMEC/D3 cells and hPBMECs as follow: TRPV2 > > TRPV4 > TRPV1 > TRPV3. Western blotting and immunofluorescence experiments confirmed that TRPV2 and TRPV4 are the most expressed TRPV isoforms in hCMEC/D3 cells with a clear staining at the plasma membrane. A fluorescent dye Fluo-4 AM ester was applied to record intracellular Ca2+ levels. TRPV4 functional activity was demonstrated in mediating Ca2+ influx under stimulation with the specific agonist GSK1016790A (ranging from 3 to 1000 nM, EC50 of 16.2 ± 4.5 nM), which was inhibited by the specific TRPV4 antagonist, RN1734 (30 μM). In contrast, TRPV1 was slightly activated in hCMEC/D3 cells as shown by the weak Ca2+ influx induced by capsaicin at a high concentration (3 μM), a highly potent and specific TRPV1 agonist. Heat-induced Ca2+ influx was not altered by co-treatment with a selective potent TRPV1 antagonist capsazepine (20 μM), in agreement with the low expression of TRPV1 as assessed by qRT-PCR. Our present study reveals an interspecies difference between Rat and Human. Functional contributions of TRPV1-4 subtype expression were not identical in rat and human tissues reflective of BBB integrity. TRPV2 was predominant in the human whereas TRPV4 had a larger role in the rat. This interspecies difference from a gene expression point of view should be taken into consideration when modulators of TRPV2 or TRPV4 are investigated in rat models of brain disorders.
The “Way” Toward E-leadership: Some Evidence From the Field

Recently, leadership literature has faced the challenge of dealing with a growing pervasive diffusion of information and communication technologies that are deeply changing relationships among workers. Consequently, leadership is continuing to develop through the support of these technologies. This emerging phenomenon has been labeled e-leadership, and it has been studied with the objective of understanding the differences it exhibits from traditional leadership. Our research seeks to examine whether enterprises, which use leadership as an important “tool” to manage workers as effectively as possible, are conscious of this evolution, whether their behavior is supportive of the related needs, and how they are organizing themselves to face the problems and opportunities arising in this new context. The present study involved 15 Italian companies. Through in-depth interviews based on face-to-face meetings using a semi-structured questionnaire with enterprises’ representatives, we explored the extent of these changes. We developed the analysis across two points in time in order to verify if a change was observable with regard to the way these enterprises considered and managed e-leadership. It was also possible to enhance the role of the technologies themselves in leadership, which in the same period has seen a rapid evolution toward mobile and social developments. Our results help to illuminate that, on the one hand, awareness with regard to e-leadership has increased and, on the other hand, the pervasiveness of technologies is playing a relevant role in the change of leadership together with renewed attention toward soft competencies. We identify four different typologies of e-leadership, which summarize different ways of conceptualizing it, and indicate their main features. We should add that this topic is becoming extremely relevant because of the critical crises organizations are now facing (such as the COVID-19 emergency we are experiencing at the present time) and the urgency of adopting e-instruments, which seem now to be the main path to managing the present situation and the aftermath it inevitably will have. Despite this research being carried out before such an event has happened, we believe that its results may further enrich the current lively debate.
Mechanisms and Future of Non-Small Cell Lung Cancer Metastasis

Lung cancer, renowned for its fast progression and metastatic potency, is rising to become a leading cause of death globally. It has been long observed that lung cancer is particularly ept in spawning distant metastasis at its early stages, and it can readily colonize virtually any human organ. In recent years, cancer research has shed light on why lung cancer is endowed with its exceptional ability to metastasize. In this review, we will take a comprehensive look at the current research on lung cancer metastasis, including molecular pathways, anatomical features and genetic traits that make lung cancer intrinsically metastatic, as we go from lung cancer’s general metastatic potential to the particular metastasis mechanisms in multiple organs. We highly concerned about the advanced discovery and development of lung cancer metastasis, indicating the importance of lung cancer specific gene mutations, heterogeneity or biomarker discovery, and discussing potential opportunities and challenges. We will also introduce some current treatments that targets certain metastatic strategies of non-small cell lung cancer (NSCLC). Advances made in these regards could be critical to our current knowledge base of lung cancer metastasis.
Genetic Polymorphism of ADORA2A Is Associated With the Risk of Epilepsy and Predisposition to Neurologic Comorbidity in Chinese Southern Children

Epilepsy, a common disorder of the brain, exhibits a high morbidity rate in children. Childhood epilepsy (CE) is frequently comorbid with neurologic and developmental disorders, sharing underlying genetic factors. This study aimed to investigate the impact of ADORA2A, BDNF, and NTRK2 gene polymorphisms on the risk of childhood epilepsy and their associations with predisposition to epileptic comorbidities. A total of 444 children were enrolled in this study, and three single nucleotide polymorphisms, including ADORA2A rs2298383, BDNF rs6265, and NTRK2 rs1778929, were genotyped. The frequency distribution of genotypes was compared not only between CE patients and healthy children but also between CE patients with and without comorbidities. The results indicated that the carriers of ADORA2A rs2298383 TT genotype tended to have a lower risk of epilepsy (OR = 0.48, 95% CI = 0.30–0.76), while the CT genotype was related to a higher risk (OR = 1.56, 95% CI = 1.06–2.27). The ADORA2A rs2298383 CC genotype predisposed CE patients to comorbid neurologic disorders (OR = 2.76, 95% CI = 1.31–5.80). Genetic variations in BDNF rs6265 and NTRK2 rs1778929 had no significant association with CE and its comorbidities. Fourteen ADORA2A target genes related to epilepsy were identified by the protein–protein interaction analysis, which were mainly involved in the biological processes of “negative regulation of neuron death” and “purine nucleoside biosynthetic process” through the gene functional enrichment analysis. Our study revealed that the genetic polymorphism of ADORA2A rs2298383 was associated with CE risk and predisposition to neurologic comorbidity in children with epilepsy, and the involved mechanism might be related to the regulation of neuron death and purine nucleoside biosynthesis.
The Fluorescent Palette of DNA-Templated Silver Nanoclusters for Biological Applications

Recently years have witnessed a surge in application of DNA-AgNCs in optics, catalysis, sensing, and biomedicine. DNA-templated silver nanoclusters (DNA-AgNCs), as emerging fluorophores, display superior optical performance since their size is close to the Fermi wavelength. DNA-AgNCs possess unique features, including high fluorescence quantum yields and stability, biocompatibility, facile synthesis, and low toxicity, which are requisite for fluorescent probes. The fluorescent emission of DNA-AgNCs can cover the violet to near-infrared (NIR) region by varying the DNA sequences, lengths, and structures or by modifying the environmental factors (such as buffer, pH, metal ions, macromolecular polymers, and small molecules). In view of the above excellent properties, we overview the DNA-AgNCs from the viewpoints of synthesis and fluorescence properties, and summarized its biological applications of fluorescence sensing and imaging.