Miracle-dz/UniFAR-FTUs huggingface dataset:
Cameroon’s adaptation to climate change and sorghum productivity

Abstract Cameroon’s semi-arid zone (northern and far northern regions) is an important part of the local ecosystem that is vulnerable to climate change. This vulnerability raises concerns about rural households’ well-being. Adapting to this vulnerability could mitigate some of the negative effects, agricultural shocks, and catastrophic risks associated with agricultural ecosystem destruction. Thus, the goal of this paper is to assess the impact of climate change adaptation strategies on rural households’ sorghum productivity in Cameroon’s semi-arid zone. On 721 households’ secondary data, we used the endogenous switching regression model and the matching method. The results show that adopting adaptation strategies increases sorghum productivity in adapted households by approximately 21,99% more than in non-adapted households. In the absence of coping strategies, these households will lose 11,22% of their sorghum productivity. The importance of these findings adds to the debate about the need to implement climate change adaptation programmes and policies that address the concerns of all households.
The First Neuropalliative Care Unit in Germany—Characteristics of Patients

A unique structure of care for neurological inpatients with significant palliative care (PC) needs was established in the Department of Neurology at the Charité—Universitätsmedizin Berlin in 2021: a specialized neuropalliative care (NPC) unit. After one year, we provide an overview of the concept and the patients’ characteristics. Methods: We retrospectively analyzed the characteristics of patients treated in our NPC unit between February 2021–February 2022. Data were extracted from medical records and PC assessment including diagnosis, mode of admission and discharge, length of stay, and palliative symptoms. Data are presented as averages with a 95% confidence interval [lower limit; upper limit] or percentage (absolute number). Results: We included 143 patients (52% (75) female, 67.9 years [65.6; 70.2]). Patients were admitted from general wards (48%; 68), their homes (22%; 32), intensive care units (16%; 23) or emergency departments (14%; 20). The main diagnoses were tumors of the nervous system (39%; 56), neurodegenerative diseases (30%; 43), neurologic complications (13%; 19) and cerebrovascular diseases (12%; 17). Complaints most frequently rated as severely to overwhelmingly burdensome were motor- or fatigue-associated problems, problems communicating, dysphagia and pain. The average length of stay was 13.7 days [12.2; 15.2]. Forty-five percent (64) of patients were discharged without further PC, 17% (24) were referred to a hospice and 13% (18) were discharged with outpatient PC. Five percent (7) were referred to neurorehabilitation and 21% (30) of patients died. Conclusions: Our NPC unit is a new model of care for neurological patients with substantial PC needs especially within the structures of a highly specialized and individualized medicine.
Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead

The concept of digital twin (DT) is constantly revealing as a key enabling technology for the deployment of mobile communication services envisaged for the sixth-generation (6G) Internet-of-Things (IoT). This paper aims at providing a comprehensive review of the current state-of-the-art DT-enabled 6G oriented network services. The main characteristics of this new key enabling technology and its critical aspects are highlighted. An overview of the 6G network requirements for the deployment of its innovative envisioned services is firstly provided, emphasizing how the DT concept represents a complementary key enabling technology for them. This is followed by a brief introduction of the DT technology. Subsequently, a comprehensive classification and analysis of the research advancements on DT-enabled 6G services currently available in literature is provided. This paper is concluded by highlighting the most representative challenges and future directions necessary for the deployment of this promising and innovative technology.
B → K(K*) + missing energy in unparticle physics

In the present work we study the effects of an unparticle as the possible source of missing energy in the decay B → K(K*)+missing energy. We find that the dependence of the differential branching ratio on the K(K*)-meson's energy in the presence of the vector unparticle operators is very distinctive from that of the SM. Moreover, in using the existing upper bound on B → K(K*)+missing energy decays, we have been able to put more stringent constraints on the parameters of unparticle stuff.
Sustainability Considerations of Green Buildings: A Detailed Overview on Current Advancements and Future Considerations

The concept of green building has gradually formed with the increase in public awareness of environmental protection, which also covers a wide range of elements. The green building is the fundamental platform of sustainable development. This review paper provides solutions for the multi-dimensional and balanced development of green building. Since green building is the development trend of the construction industry, it presents an opportunity to mitigate global warming and accomplish energy efficiency. However, the problem is that the development of green building’s implementation is restricted by the lack of government policies, imperfect technical abilities and unreasonable economic benefits. One conclusion drawn from the results shows that the benefits of green building implementation include environmental, economic, social, and health and safety aspects. Moreover, it is crucial to improve the awareness of stakeholders to promote the development process of green building. The government should launch campaigns to encourage developers and tenants to embrace green building, which can add value to buildings. The novelty of the paper provides a more systematic review on the sustainable considerations of green building than previous efforts in the literature. Bibliometric analysis is conducted through VOS viewer software. This review paperdiscusses the relevant benefits and challenges of green building through a critical review of existing research knowledge related to green building. The current advancements in green building are highlighted in this paper. Importantly, future recommendations for standards and policy formulation and future research directions are proposed in this review article.
Equating two maximum degrees

Given a graph $G$, we would like to find (if it exists) the largest induced subgraph $H$ in which there are at least $k$ vertices realizing the maximum degree of $H$. This problem was first posed by Caro and Yuster. They proved, for example, that for every graph $G$ on $n$ vertices we can guarantee, for $k = 2$, such an induced subgraph $H$ by deleting at most $2\sqrt{n}$ vertices, but the question if $2\sqrt{n}$ is best possible remains open. Among the results obtained in this paper we prove that: 1. For every graph $G$ on $n \geq 4$ vertices we can delete at most $\lceil \frac{- 3 + \sqrt{ 8n- 15}}{2 } \rceil$ vertices to get an induced subgraph $H$ with at least two vertices realizing $\Delta(H)$, and this bound is sharp, solving the problems left open by Caro and Yuster. 2.For every graph $G$ with maximum degree $\Delta \geq 1$ we can delete at most $\lceil \frac{ -3 + \sqrt{8\Delta +1}}{2 } \rceil$ vertices to get an induced subgraph $H$ with at least two vertices realizing $\Delta(H)$, and this bound is sharp. 3. Every graph $G$ with $\Delta(G) \leq 2$ and least $2k - 1$ vertices (respectively $2k - 2$ vertices if k is even) contains an induced subgraph $H$ in which at least $k$ vertices realise $\Delta(H)$, and these bound are sharp.
Nilsystems and ergodic averages along primes

A celebrated result by Bourgain and Wierdl states that ergodic averages along primes converge almost everywhere for $L^{p}$ -functions, $p>1$ , with a polynomial version by Wierdl and Nair. Using an anti-correlation result for the von Mangoldt function due to Green and Tao, we observe everywhere convergence of such averages for nilsystems and continuous functions.
$Z^{d}$-odometers and cohomology

Cohomology for actions of free abelian groups on the Cantor set has (when endowed with an order structure) provided a complete invariance for orbit equivalence. In this paper, we study a particular class of actions of such groups called odometers (or profinite actions) and investigate their cohomology. We show that for a free, minimal Z-odometer, the first cohomology group provides a complete invariant for the action up to conjugacy. This is in contrast with the situation for orbit equivalence where it is the cohomology in dimension Supported in part by a grant from NSERC, Canada Supported in part by a grant from NSERC, Canada Supported in part by the Norwegian Research Council
Applications of differential geometry and representation theory to description of quantum correlations

One of the most important questions in quantum information theory is the so-called separability problem. It involves characterizing the set of separable (or, equivalently entangled) states among mixed states of a multipartite quantum system. In this thesis we study the generalization of this problem to types of quantum correlations that are defined in a manner analogous to entanglement. We start with the subset of set of pure states of a given quantum system and call states belonging to the convex hull of this subset "non-correlated" states. Consequently, the states laying outside the convex hull are referred to as "correlated". In this work we focus on cases when there exist a symmetry group that preserves the class of "non-correlated" pure states. The presence of symmetries allows to obtain a unified treatment of many types of seemingly unrelated types of correlations. We apply our general results to particular types of correlations: (i) entanglement of distinguishable particles, (ii) particle entanglement of bosons, (iii) "entanglement" of fermions, (iv) non-convex-Gaussian correlations in fermionic systems, (v) genuine multiparty entanglement, and finally (vi) refined notions of bipartite entanglement based on the concept of the Schmidt number. We investigate the natural problems and questions concerning the correlations defined above: (I) We provide explicit polynomial characterization of various types of correlations for pure states. (II) We examine cases in which it is possible to give a complete analytical characterization of correlated mixed states. (III) We derive a variety of polynomial criteria for detection of correlations in mixed states. (IV) We use the above criteria and the technique of measure concentration to study typical properties of correlations on sets of isospectral density matrices.
The financial accelerator mechanism: does frequency matter?

We use mixed-frequency (quarterly-monthly) data to estimate a dynamic stochastic general equilibrium model embedded with the financial accelerator mechanism à la Bernanke et al. (1999). We find that the financial accelerator can work very differently at monthly frequency compared to quarterly frequency; that is, we document its inversion. That is because aggregating monthly data into quarterly data leads to large biases in the estimated quarterly parameters and, as a consequence, to a deep change in the transmission of shocks.
MUTUAL INTERPRETABILITY OF ROBINSON ARITHMETIC AND ADJUNCTIVE SET THEORY WITH EXTENSIONALITY

Abstract An elementary theory of concatenation, QT +, is introduced and used to establish mutual interpretability of Robinson arithmetic, Minimal Predicative Set Theory, quantifier-free part of Kirby’s finitary set theory, and Adjunctive Set Theory, with or without extensionality. The most basic arithmetic and simplest set theory thus turn out to be variants of string theory.
The Effects of Silencing PTX3 on the Proteome of Human Endothelial Cells

The human long pentraxin PTX3 has complex regulatory roles at the crossroad of innate immunity, inflammation, and tissue repair. PTX3 can be produced by various cell types, including vascular endothelial cells (ECs), in response to pro-inflammatory cytokines or bacterial molecules. PTX3 has also been involved in the regulation of cardiovascular biology, even if ambiguous results have been so far provided in both preclinical and clinical research. In this study, we compared the proteomic profiles of human ECs (human umbilical vein ECs, HUVECs), focusing on differentially expressed proteins between the control and PTX3-silenced ECs. We identified 19 proteins that were more abundant in the proteome of control ECs and 23 proteins that were more expressed in PTX3-silenced cells. Among the latter, proteins with multifunctional roles in angiogenesis, oxidative stress, and inflammation were found, and were further validated by assessing their mRNAs with RT-qPCR. Nevertheless, the knock down of PTX3 did not affect in vitro angiogenesis. On the contrary, the lack of the protein induced an increase in pro-inflammatory markers and a shift to the more oxidative profile of PTX3-deficient ECs. Altogether, our results support the idea of a protective function for PTX3 in the control of endothelial homeostasis, and more generally, in cardiovascular biology.
RS-MSConvNet: A Novel End-to-End Pathological Voice Detection Model

Recent studies have reported the success of multi-scale convolution neural network (MSConvNet) model for many classification applications due to its powerful ability of exploring multi-scale convolution block to extract multi-scale representations to make a detection. However, a new design based on MSConvNet for pathological voice detection has not been explored. In this paper, we propose RS-MSConvNet, a novel end-to-end MSConvNet model using raw speech for pathological voice detection. The main contribution of the proposed RS-MSConvNet method is to exploit the multi-scale convolution block, followed by spatial-temporal feature block, and fully connected layer as classification. In addition, to further improve accuracy performance, we propose a novel hybrid detection model by integrating the feature extraction ability of the RS-MSConvNet model and the classifier of support vector machine (SVM) method, called RS-MSConvNet-SVM model. The effectiveness of our proposed models is investigated using the TORGO database. The experimental results reveal that the RS-MSConvNet model outperforms other baseline methods in the speaker-independent task. Moreover and as compared to the RS-MSConvNet-SVM model, a further improved accuracy is obtained using the RS-MSConvNet-SVM model. These outcomes exhibit that our proposed models are useful for pathological voice detection.
Laplacian, on the graph of the Weierstrass function

The Laplacian plays a major role in the mathematical analysis of partial differential equations. Recently, the work of J. Kigami, taken up by R. S. Strichartz, allowed the construction of an operator of the same nature, defined locally, on graphs having a fractal character: the triangle of Sierpinski, the carpet of Sierpinski, the diamond fractal, the Julia sets, the fern of Barnsley. Strangely, the case of the graph of the Weierstrass function, introduced in 1872 by K. Weierstrass, which presents self similarity properties, does not seem to have been considered anywhere. It is yet an obligatory passage, in the perspective of studying diffusion phenomena in irregular structures. We have asked ourselves the following question: given a continuous function u on the graph of the Weierstrass function, under which conditions is it possible to associate to u a function Delta u which is, in the weak sense, its Laplacian ? We present, in the following, the results obtained by following the approach of J. Kigami and R. S. Strichartz. Ours is made in a completely renewed framework, as regards, the one, affine, of the Sierpinski gasket. First, we concentrate on Dirichlet forms, on the graph of the Weierstrass function, which enable us the, subject to its existence, to define the Laplacian of a continuous function on this graph. This Laplacian appears as the renormalized limit of a sequence of discrete Laplacians on a sequence of graphs which converge to the one of the Weierstrass function. The normalization constants related to each graph Laplacian are obtained thanks Dirichlet forms. The spectrum of the Laplacian thus built is obtained through spectral decimation.
Minimal models of quantum homotopy Lie algebras via the BV-formalism

Using the BV-formalism of mathematical physics an explicit construction for the minimal model of a quantum L-infinity-algebra is given as a formal super integral. The approach taken herein to these formal integrals is axiomatic; they can be approached using perturbation theory to obtain combinatorial formulae as shown in the appendix. Additionally, there exists a canonical differential graded Lie algebra morphism mapping formal functions on homology to formal functions on the whole space. An L-infinity-algebra morphism inverse to this differential graded Lie algebra morphism on the level of homology is constructed as a formal super integral.
Energy‐ and enstrophy‐conserving schemes for the shallow‐water equations, based on mimetic finite elements

This article presents families of spatial discretizations of the nonlinear rotating shallow‐water equations that conserve both energy and potential enstrophy. These are based on two‐dimensional mixed finite‐element methods and hence, unlike some finite‐difference methods, do not require an orthogonal grid. Numerical verification of the aforementioned properties is also provided.
Virus Prevalence in Egg Samples Collected from Naturally Selected and Traditionally Managed Honey Bee Colonies across Europe

Monitoring virus infections can be an important selection tool in honey bee breeding. A recent study pointed towards an association between the virus-free status of eggs and an increased virus resistance to deformed wing virus (DWV) at the colony level. In this study, eggs from both naturally surviving and traditionally managed colonies from across Europe were screened for the prevalence of different viruses. Screenings were performed using the phenotyping protocol of the ‘suppressed in ovo virus infection’ trait but with qPCR instead of end-point PCR and a primer set that covers all DWV genotypes. Of the 213 screened samples, 109 were infected with DWV, 54 were infected with black queen cell virus (BQCV), 3 were infected with the sacbrood virus, and 2 were infected with the acute bee paralyses virus. It was demonstrated that incidences of the vertical transmission of DWV were more frequent in naturally surviving than in traditionally managed colonies, although the virus loads in the eggs remained the same. When comparing virus infections with queen age, older queens showed significantly lower infection loads of DWV in both traditionally managed and naturally surviving colonies, as well as reduced DWV infection frequencies in traditionally managed colonies. We determined that the detection frequencies of DWV and BQCV in honey bee eggs were lower in samples obtained in the spring than in those collected in the summer, indicating that vertical transmission may be lower in spring. Together, these patterns in vertical transmission show that honey bee queens have the potential to reduce the degree of vertical transmission over time.
The effect of financial characteristics on earnings management moderated by corporate governance

The case for earnings management has often been made by companies that aim to improve company performance. The concept of Good Corporate Governance is applied to reduce various risks in earnings management, therefore, this study aims to empirically test whether there is an effect of profitability leverage and free cash flow on earnings management, as well as whether good corporate governance approached by self-assessment can moderate the effect of leverage, profitability, and free cash flow on earnings management in state-owned enterprises. The data used is secondary data from the Indonesian stock exchange and the company’s website. The population of this study is stateowned companies listed on the Indonesian Stock Exchange in 2013-2019. The data analysis technique used moderated regression analysis. The results showed that leverage and free cash flow influenced earnings management, while profitability has no effect on earnings management and self-assessment can moderate the effect of leverage on management and self-assessment cannot moderate the effect of profitability and free cash flow on earnings management.
Maximal averages associated to families of finite type surfaces

We study the boundedness problem for maximal operators $\mathcal{M}$ associated to averages along families of hypersurfaces $S$ of finite type in $\mathbb{R}^n. $ In this paper, we prove that if $S$ is a finite type hypersurface which is of finite type $k$ at $x_0 \in \mathbb{R}^n$, then the associated maximal operator is bounded on $L^p(\mathbb{R}^n)$ for $p>k. $ We shall also consider a variable coefficient version of maximal theorem and we obtain the same $L^p-$ boundedness result for $p>k. $ We also discussed the consequence of this result. In particular, we verify a conjecture by E. M. Stein and its generalization by A. Iosevich and E. Sawyer on the connection between the decay rate of the Fourier transform of the surface measure on $S$ and the $L^p-$ boundedness of the associated maximal operator $\mathcal{M}. $