Floods often displace people and exacerbate their access to finance, affecting the livelihood of daily wage workers in least-developed countries. In August 2017, Nepal experienced the heaviest rainfall in more than 60 years, severely flooding about 80 per cent of the land in the southern part of the country. Using the two-way fixed effects approach and an event study design, we evaluate the impact of severe flooding on the wages of agricultural workers. We show that the 2017 floods resulted in a 9–10 per cent decrease in cash wages among agricultural households while in-kind wages of agricultural laborers increased significantly after the floods, implying that in-kind wages helped mitigate the adverse effects of floods on cash wages. We also investigate changes in assistance, loan-seeking behavior, loan repayment, and collection behavior as mechanisms leading to the risk-mitigating behavior by farmers.

This editorial considers the value and nature of academic psychiatry by asking what defines the specialty and psychiatrists as academics. We frame academic psychiatry as a way of thinking that benefits clinical services and discuss how to inspire the next generation of academics.

This study proposes a novel hybrid learning approach for developing a visual path-following algorithm for industrial robots. The process involves three steps: data collection from a simulation environment, network training, and testing on a real robot. The actor network is trained using supervised learning for 500 epochs. A semitrained network is then obtained at the $250^{th}$ epoch. This network is further trained for another 250 epochs using reinforcement learning methods within the simulation environment. Networks trained with supervised learning (500 epochs) and the proposed hybrid learning method (250 epochs each of supervised and reinforcement learning) are compared. The hybrid learning approach achieves a significantly lower average error (30.9 mm) compared with supervised learning (39.3 mm) on real-world images. Additionally, the hybrid approach exhibits faster processing times (31.7 s) compared with supervised learning (35.0 s). The proposed method is implemented on a KUKA Agilus KR6 R900 six-axis robot, demonstrating its effectiveness. Furthermore, the hybrid approach reduces the total power consumption of the robot’s motors compared with the supervised learning method. These results suggest that the hybrid learning approach offers a more effective and efficient solution for visual path following in industrial robots compared with traditional supervised learning.

In recent years, there has been a noticeable uptick in efforts to address the ethical, methodological, and security challenges of conducting field research. In fact, an entire scholarly community has emerged from different pockets of area and conflict studies to develop and share a body of literature and foster interactive forums to advance this important area of study.1 Much of this work builds on the influential accounts of individual researchers (Wood 2006), which has developed into more systematic categories for the myriad issues of fieldwork (Sriram et al. 2009), as well as frameworks to understand researcher-related, subject-related, and result-related problems (Baele et al. 2018). Some have noted that the challenges associated with ethics, security, and methods are “amplified in conflict zones” (Cramer, Hammond, and Pottier 2011). Others have observed the African context in particular may require its own approach (Thomson, Ansoms, and Murison 2013), prompting the journal African Affairs to dedicate space to a series of research notes that tackle fieldwork in particular (Cheeseman, Death, and Whitfield 2017).

Within the USA military, monitoring body composition is an essential component of predicting physical performance and establishing soldier readiness. The purpose of this study was to explore mobile phone three-dimensional optical imaging (3DO), a user-friendly technology capable of rapidly obtaining reliable anthropometric measurements and to determine the validity of the new Army one-site body fat equations using 3DO-derived abdominal circumference. Ninety-six participants (51 F, 45 M; age: 23·7 ± 6·5 years; BMI: 24·7 ± 4·1 kg/m2) were assessed using 3DO, dual-energy X-ray absorptiometry (DXA) and a 4-compartment model (4C). The validity of the Army equations using 3DO abdominal circumference was compared with 4C and DXA estimates. Compared with the 4C model, the Army equation overestimated BF% and fat mass (FM) by 1·3 ± 4·8 % and 0·9 ± 3·4 kg, respectively, while fat-free mass (FFM) was underestimated by 0·9 ± 3·4 kg (P < 0·01 for each). Values from DXA and Army equation were similar for BF%, FM and FFM (constant errors between −0·1 and 0·1 units; P ≥ 0·82 for each). In both comparisons, notable proportional bias was observed with slope coefficients of −0·08 to −0·43. Additionally, limits of agreement were 9·5–10·2 % for BF% and 6·8–7·8 kg for FM and FFM. Overall, while group-level performance of the one-site Army equation was acceptable, it exhibited notable proportional bias when compared with laboratory criterion methods and wide limits of agreement, indicating potential concerns when applied to individuals. 3DO may provide opportunities for the development of more advanced, automated digital anthropometric body fat estimation in military settings.

The engraved slate plaques were part of an extensive and variable class of ritual objects in Late Neolithic and Copper Age Iberia, with Classic plaques being the most numerous and standardized type. Classic plaques have a top and base separated by a horizontal line or bands, and base registers of repeating design elements (triangles, checkerboard, etc.). Associated with burials, they have been interpreted as genealogical records, with their base design referencing a clan or other social unit and their number of registers denoting the generational distance of the deceased from an important ancestor. The authors evaluate the genealogical hypothesis using a larger dataset than available when originally proposed, employing statistical analyses to examine the relationship between the number of registers and find locations, and between design elements and tomb size. Tomb size is viewed as a measure of collective labour, and hence a proxy of the status of the individuals in the tomb. These analyses show significant patterning between the number of registers and the plaques’ geographic distribution, and between specific design elements and tomb size, suggesting that the genealogical hypothesis remains a plausible explanation for the Classic plaques.

The United States has long represented one of Canada's primary international allies. This partnership has remained strong despite turbulent times in the relationship, such as the one brought forth by the Trump presidency. Our article seeks to understand the sources of such continuity through the lens of continentalism. While historical accounts of continentalism have portrayed it as a passive force stemming from Canada's material self-interest, scholars have recently identified the emergence of an evolved form of continentalism that represents a dominant idea and a coherent analytical framework in Canadian foreign policy. Has this new form of continentalism indeed gained widespread acceptance among Canadians? We answer this question by considering continentalism in the ideational realm. Using novel public opinion data, our analysis investigates whether continentalist attitudes have become embedded in Canadians’ national identity and foster closer alignment preferences vis-à-vis the United States. We find significant and robust evidence of such effects.

DNA profiles of 92 banana and plantain cultivars were generated with 12 amplified fragment length polymorphism (AFLP) primer pairs. The average polymorphism information content (PIC) values of the polymorphic AFLP markers varied from 0.270 to 0.341, and the profiles could distinguish all the 92 cultivars analysed. It was possible to identify differences between two accessions of the AAB genome cultivar Rasthali, indicating the presence of intra-cultivar genetic variation. A UPGMA (unweighted pair group method of arithmetical means) dendrogram generated with 1581 AFLP products identified four major clusters, each comprising cultivars of similar genomic constitution. All the ABB cultivars grouped in a single cluster, which was well separated from the rest. The within-group similarity coefficients indicated that the most diverse group was AAB, followed by AAA. However, significant genetic diversity was also present among AA, AB and ABB Indian banana cultivars, supporting the notion that India, along with other neighbouring south-eastern Asian countries, is the centre of diversity for cultivars of banana and plantain. The presence of substantial diversity among the banana and plantain landrace cultivars could be exploited in varietal improvement programmes.

Representation scholarship has drawn from intersectionality theory 0to examine how systemic structures of oppression and privilege have created social groups with distinct political needs. Derived from Black feminist theory that recognizes that identities are mutually constitutive and interconnected, intersectionality research is rooted in the lived experiences of marginalized groups who call attention to social (in)justice. Empirical scholarship building on the insights of Black feminist theorists such as Collins and Bilge (2016), Hill Collins (1990), Crenshaw (1989; 1991), and King (1988) has constituted nothing less than a paradigm shift in the study of gender and politics. Nevertheless, there remain an array of opportunities to expand upon the potential for intersectional frameworks and methods, as well as pressing new questions concerning the operationalization of intersectionality itself. This Critical Perspectives section offers a moment to take stock of these developments and debates, as well as to highlight new pathways for scholarship committed to centering the margins and considering the nexus of multiple power structures that frame our political lives.

Emerging evidence suggests that low-grade systemic inflammation plays a key role in altering brain activity, behaviour and affect. Modulation of the gut microbiota using prebiotic fibre offers a potential therapeutic tool to regulate inflammation, mediated via the production of short-chain fatty acids (SCFA). However, the impact of prebiotic consumption on affective symptoms and the possible contribution from inflammation, gut symptoms and the gut microbiome are currently underexamined. In this 12-week study, the effects of a diverse prebiotic blend on inflammation, gut microbiota profiles and affective symptoms in a population with metabolic syndrome (MetS) were examined. Sixty males and females with MetS meeting the criteria for MetS were randomised into a treatment group (n 40), receiving 10 g per day of a diverse prebiotic blend and healthy eating advice, and a control group (n 20), receiving healthy eating advice only. Our results showed a significant reduction in high sensitivity C-reactive protein (hs-CRP) in the treatment (–0·58 [–9·96 to–2·63]) compared with control (0·37 [–3·64 to–3·32]), alongside significant improvements in self-reported affective scores in the treatment compared with the control group. While there were no differences in relative abundance between groups at week 12, there was a significant increase from baseline to week 12 in fecal Bifidobacterium and Parabacteroides in the treatment group, both of which are recognised as SCFA producers. Multivariate regression analyses further revealed an association between gastrointestinal symptoms and hs-CRP with affective scores. Together, this study provides preliminary support for a diverse prebiotic blend for mood, stress and anxiety.

Do recent increases in women’s representation around the world have implications for international relations? We argue that greater representation of women in legislatures increases the likelihood of human rights treaty ratification for two reasons. First, given their shared gendered experiences of exclusion and discrimination, women legislators will advocate on behalf of marginalized groups on an international scale as transnational surrogate representatives. Second, women legislators may be more inclined to prioritize the ratification of human rights treaties because these treaties align with their domestic policy preferences, which aim to support marginalized groups. We contend that, in countries where ratification depends upon legislative approval, legislatures are more likely to ratify human rights treaties as women’s presence increases. Using an original dataset of 201 multilateral treaties, we find that countries become more likely to ratify human rights treaties as levels of women’s legislative representation increase.

Given an $n\times n$ symmetric matrix $W\in [0,1]^{[n]\times [n]}$, let ${\mathcal G}(n,W)$ be the random graph obtained by independently including each edge $jk\in \binom{[n]}{2}$ with probability $W_{jk}=W_{kj}$. Given a degree sequence $\textbf{d}=(d_1,\ldots, d_n)$, let ${\mathcal G}(n,\textbf{d})$ denote a uniformly random graph with degree sequence $\textbf{d}$. We couple ${\mathcal G}(n,W)$ and ${\mathcal G}(n,\textbf{d})$ together so that asymptotically almost surely ${\mathcal G}(n,W)$ is a subgraph of ${\mathcal G}(n,\textbf{d})$, where $W$ is some function of $\textbf{d}$. Let $\Delta (\textbf{d})$ denote the maximum degree in $\textbf{d}$. Our coupling result is optimal when $\Delta (\textbf{d})^2\ll \|\textbf{d}\|_1$, that is, $W_{ij}$ is asymptotic to ${\mathbb P}(ij\in{\mathcal G}(n,\textbf{d}))$ for every $i,j\in [n]$. We also have coupling results for $\textbf{d}$ that are not constrained by the condition $\Delta (\textbf{d})^2\ll \|\textbf{d}\|_1$. For such $\textbf{d}$ our coupling result is still close to optimal, in the sense that $W_{ij}$ is asymptotic to ${\mathbb P}(ij\in{\mathcal G}(n,\textbf{d}))$ for most pairs $ij\in \binom{[n]}{2}$.

We investigated cross-sectional and longitudinal associations between neonate microbial exposure and emerging behavioral temperament measures at the ages of 1, 2, and 3 years. Infants and mothers (n = 335) were extracted from the Kuopio Birth Cohort Study. Temperament was assessed using the Infant Behavioral and Early Childhood Behavioral Questionnaires. Microbial samples were collected from oral cavity at birth and the bacterial profiles were assessed using 16S rRNA gene sequencing. Microbial diversity was characterized using alpha and beta diversity metrics. Analyses were performed for the most abundant genera. The sample was analyzed as a whole, as well as divided into subgroups representing no antibiotic use during birth (n = 198) and those with antibiotic use during birth (n = 137). No significant associations were observed between microbial profiles and behavioral measures after Bonferroni corrections. Nevertheless, our pre-correction results indicated an association between increased behavioral temperament surgency in the first year and beta diversity (high abundance of Bacteroides, Faecalibacterium and Blautia, low abundance of Lactobacillus) in the antibiotic use group. Additionally, pre-corrections, a high relative abundance of Staphylococcus was associated with increased surgency through years 1, 2, and 3 in the no antibiotics group, prompting consideration into a possible link between antibiotic use and emerging behavioral temperament.

A 3D-printed polarization-independent low-cost lightweight and flexible frequency selective surface based dual-band microwave absorber is presented in this paper. Two concentric square loops fabricated at different heights using 3D printing technology are responsible for exhibiting dual-band responses at 3.32 GHz (S-band) and 5.46 GHz (C-band) with more than 97% absorptivities. The corresponding full widths at half maximum bandwidths are observed as 230 MHz (3.21–3.44 GHz) and 450 MHz (5.27–5.72 GHz). The proposed topology is polarization-insensitive owing to the four-fold symmetry. The absorption phenomenon is explained with the analysis of current distributions at the surface and impedance curves at the frequencies of resonance. Further, the performance has been evaluated for both planar and curved surfaces with different angles of curvature, and the good agreement between the measured and simulated responses confirms the flexible behavior of the proposed structure.