The UNESCO Convention for the Safeguarding of Intangible Cultural Heritage is designed to secure the protection of intangible cultural heritage (ICH) worldwide.1 The Convention aims to safeguard and ensure respect for ICH of communities, groups, and persons and promote awareness of their significance and international protection in that regard.2 The Convention outlines intangible cultural heritage (ICH) in terms of oral traditions and expressions, including, but not limited to, epics, tales, and stories, and performing arts categories such as music, song, dance, puppetry, and theatre. Other forms of ICH under the Convention include social practices, rituals, and festive events. In its inherently nuanced nature, ICH also includes knowledge and practices relating to nature and the universe. In these categories are folk medicines, folk astronomy, and various natural phenomena. ICH’s wide and nuanced ambit encompasses traditional craftsmanship as well as the sites and spaces in which culturally significant activities and events occur.3 ICH forms part of the daily life and lived realities of people in virtually all parts of the world. It is the beliefs and perspectives, ephemeral performances, and events that are not tangible objects of culture, such as monuments or paintings. ICH is often described as the underlying “spirit” of a cultural group,4 which cannot be detailed in all subtleties.

We show that the twin-width of every $n$-vertex $d$-regular graph is at most $n^{\frac{d-2}{2d-2}+o(1)}$ for any fixed integer $d \geq 2$ and that almost all $d$-regular graphs attain this bound. More generally, we obtain bounds on the twin-width of sparse Erdős–Renyi and regular random graphs, complementing the bounds in the denser regime due to Ahn, Chakraborti, Hendrey, Kim, and Oum.

A screening test for more than 50 cancers at earlier stages would strike many as a godsend. Such a test would promise, prima facie, to save 160,000 lives annually from a premature death from cancer, reduce the intensity of medical treatment, and reduce social costs. In brief, this is what is promised by the Galleri test. We will delineate those claims in greater detail and critically assess them from medical, economic, and ethical perspectives. We conclude, with many others, that this test lacks clinical validity and clinical utility. In addition, annual public funding of $100 billion for this test would be socially unaffordable; the opportunity costs would be unacceptable for both ethical and economic reasons. Further, the least well off with respect to cancer care would be made worse off if this test were publicly funded for everyone over the age of fifty.

A linearly polarized dual-resonant millimeter-wave absorber for Radio Detection And Ranging (RADAR)applications is presented in this paper. The frequency-selective absorber (FSA) is composed of solitarily using the distributed elements. The proposed FSA achieves a dual-band resonance characteristic utilizing the mutual coupling between concentric square loops, the second harmonic mode of the Jerusalem cross, and the corrugated cross grids. The proposed dual-band FSA operates from 25.5 to 26.5 GHz (1 GHz) (fL) and 31.8 GHz–32.5 GHz (0.7 GHz) (fH) with minimum absorptivity of 96% and 92%, respectively. The desired frequency response of the proposed unit cell is demonstrated by an equivalent circuit model. The FSA prototype is fabricated and the simulated results are validated using experimental measurements. The proposed FSA is a suitable candidate for stealth application in defense and military systems.

Why would authoritarian rulers allow for an independent judiciary that could constrain their power? This study extends the insurance theory of judicial independence to autocratic contexts, arguing that when leaders perceive a higher risk of losing office, they become more likely to tolerate or create independent courts as a safeguard against potential post-exit reprisals. Using a novel two-stage analytical approach, I construct a hazard rate for each country year from the Geddes et al. (2014) autocratic regime dataset, based on factors directly observable to autocratic leaders. This hazard rate serves as a proxy for perceived risk of losing power. My findings provide robust evidence that higher perceived risk is significantly associated with greater judicial independence in autocratic regimes, even when controlling for economic development, regime longevity, and court age. This research offers crucial insights into autocratic governance, demonstrating that promoting judicial independence can be a calculated strategy for regime survival rather than merely a democratic concession.

Systematic review and meta-analysis were conducted to provide comprehensive information on the prevalence of amphistome infections in domestic ruminants in sub-Saharan Africa. A systematic search of peer-reviewed articles published between 2002 and 2023 was conducted. Prevalence estimates and meta-analysis were based on 76 peer-reviewed articles which met the inclusion criteria. Of the 55,122 domestic ruminants screened, 12,858 were infected, and the overall pooled prevalence was 22% (95% confidence interval [CI], 10-37). The highest prevalence was recorded in southern Africa 25% (95% CI, 0-62), and central Africa 16% (95% CI, 0-61) the lowest. Cattle were the most frequently sampled hosts (76.56%, n = 42,202) and sheep (8.78%, n = 4838) the lowest, and cattle recorded the highest pooled prevalence of 28% (95% CI, 12-47), and goats the lowest at 5% (95% CI, 0-14). Prevalence rate was the high in males 32% (95% CI, 21-44), adult ruminants 37% (95% CI, 15-62) and animals with poor body condition 47% (95% CI, 34-60), and during the wet season 36% (95% CI, 0-94). The highest pooled prevalence was recorded at postmortem 23% (95% CI, 8-43) compared to coprology 20% (95% CI, 6-39) studies. The meta-regression model demonstrated that the body condition score, host, and period, and the interactions of different factors significantly influenced the prevalence. The lowest prevalence rate was noted for the period between 2013 and 2023. This is the first systematic review and meta-analysis in sub-Saharan Africa that provides a comprehensive review of the prevalence of amphistome infections in domestic ruminants in the past 20 years.

Let $T$ be a tree on $t$ vertices. We prove that for every positive integer $k$ and every graph $G$, either $G$ contains $k$ pairwise vertex-disjoint subgraphs each having a $T$ minor, or there exists a set $X$ of at most $t(k-1)$ vertices of $G$ such that $G-X$ has no $T$ minor. The bound on the size of $X$ is best possible and improves on an earlier $f(t)k$ bound proved by Fiorini, Joret, and Wood (2013) with some fast-growing function $f(t)$. Moreover, our proof is short and simple.

Let $(x_n)_{n\geq 0}$ be a linear recurrence sequence of order $k\geq 2$ satisfying

$$ \begin{align*}x_n=a_1x_{n-1}+a_2x_{n-2}+\dots+a_kx_{n-k}\end{align*} $$

$n\geq k$

$a_1,\dots ,a_k,x_0,\dots , x_{k-1}\in \mathbb {Z},$

$a_k\neq 0$

$(x_n)_{n\geq 0}$

$\mathbb {Q}_p$

$\pm \alpha $

$\alpha $

$\mathbb {Q}_p$

$(x_n)_{n\geq 0}$

$\mathbb {Q}_p$

$\mathbb {Q}$

Many population biology, ecology, and evolution experiments rely on the accuracy of the classification of individuals and the estimation of size population. The visual classification of vinegar flies, Drosophila melanogaster (Diptera: Drosophilidae), morphs is a laborious task usually performed by bench workers. Because of the size of the flies and the degree of precision needed to distinguish the morphological features on which the classification is based, the work is performed using a dissecting microscope. Here, we describe a method to automate the counting and identification of two types of vinegar flies, white and wild individuals. Our method is based on the image-recognition artificial intelligence (AI) tool, FlydAI (FlyDetector AI), which proved to correctly classify the flies when high-quality images were used, with a success rate of up to 100% in samples containing up to 200 individuals. This is a significant improvement with respect to preexisting approaches in terms of accuracy and specificity of the morphs detected. Although this tool is exclusively trained to routine lab tasks involving wild and white D. melanogaster, the AI can be easily trained to recognise different vinegar fly mutants and other types of insects of similar size, and its potential in other areas still needs to be explored.