Attempts to develop high yielding varieties in Ghana have mostly relied on the introduction of new clones to broaden the range of planting materials for yield improvement. The objective of this study was to estimate the genetic variation and heritability for bean yield of six recommended cocoa clones using these as males in crosses with five seed garden parents. Twenty-four families obtained from a 5 × 6 North Carolina II (NC II) incomplete factorial mating design together with 19 high yielding single crosses, of which four were standard mixed hybrids, were planted in a randomized complete block design with four replications and evaluated for bean yield over 6 years. To account for the serial correlation among yield data collected from the same plants over years, six models with different covariance structures were tested. The general covariance model emerged appropriate based on Akaike information criterion values with significant (P < 0.01) family × year interaction. Average bean yield was highest in the NC II families followed by the specific crosses then the standard mixed hybrids. Combining ability analysis among the NC II was significant for female, male and female × male interaction along with a narrow-sense heritability of 0.26. Clone CRG 6035 among the males which had good general combining ability could be added to the seed garden parents, while the promising hybrids (NA 33 × SCA 9, SCA 6 × Pound 10, T60/887 × PA 121 and T79/501 × CRG 6035/103) undergo stability tests before release.

Objectives: UK policy priority is to support people with dementia (PLwD) to live at home for longer. Initial clinical assessment involves evaluating and managing risk to enable PLwD to live safely and well at home. Risk assessment scales are needed to identify, manage and reduce risk within contemporary dementia practice. The “Islington Dementia Navigator Risk Assessment Tool” (IDNRAT) is used by specialist and non-specialist staff to stratify the level of risk for PLwD and inform a risk management plan and the frequency of follow-up. We assessed whether IDNRAT enables risk detection and whether the risk intervention derived from it is implemented and improves the safety of people living at home with dementia.

Methods: A mixed Methods study to evaluate IDNRAT’s validity, and the feasibility and acceptability of the resulting risk management plan. We investigated the use of the IDNRAT to: (i) detect risk (concurrent validity) and measure the reliability of the tool; (ii) contribute to risk reduction (primary outcome was numbers of decisions implemented); (iii) explore patients’ and carers’ experience of risk stratification.

Results: We found risk stratification scores (n = 119) derived from IDNRAT and compared with gold standard clinical risk assessments showed concordance between clinicians’ ratings. Joint Dementia navigator and researcher interviews (n = 19) showed consistency between the different assessor scores demonstrating IDNRAT has good reliability. Care-plan data showed most participants (n = 275) scored in the low-risk band of IDNRAT (78.9%) at baseline assessment and risk severity ratings (red/amber/green) reduced over the 6–12-month time period. PLwD (n = 19) and family carers (n = 17) had differing perceptions about risk and the PLwD’s susceptibility to risk. Overall, participants found the risk assessment acceptable, were able to identify risks and felt included in decision-making processes.

Conclusions: We found that the IDNRAT used by non-specialist practitioners (dementia navigators) does enable people with dementia to live safely at home in terms of risk- identification, implemented risk enablement decisions and acceptability. IDNRAT is a valid risk assessment tool, which offers a tailored approach to the management of risk, and over 80% of care-plan decisions were implemented. This is consistent with best practice and the tool has potential for wider use.

Rundqvistite-(Ce), ideally Na3(Sr3Ce)(Zn2Si8O24), is a new mineral from the Darai-Pioz alkaline massif, Tien-Shan Mountains, Tajikistan. The mineral occurs as elongated grains up to 0.1 mm long and up to 0.03 mm thick embedded in quartz–pectolite aggregate in a silexite-like peralkaline pegmatite. Associated minerals are quartz, fluorite, pectolite, baratovite, aegirine, leucosphenite, neptunite, reedmergnerite, orlovite, sokolovaite, mendeleevite-(Ce), odigitriaite, pekovite, zeravshanite, kirchhoffite and garmite. The mineral is colourless with a vitreous lustre and a white streak, brittle, Dmeas. is 3.70(2) and Dcalc. is 3.709 g/cm3. Rundqvistite-(Ce) is monoclinic, space group P21/c, a = 5.1934(16), b = 7.8934(16), c = 26.011(5) Å, β = 90.02(3)° and V = 1066.3(4) Å3. The chemical composition of rundqvistite-(Ce) is SiO2 40.17, La2O3 2.64, Ce2O3 7.55, Pr2O3 0.80, Nd2O3 2.43, Sm2O3 0.33, Eu2O3 0.09, Gd2O3 0.24, Tb2O3 0.18, Dy2O3 0.21, PbO 1.03, SrO 19.83, FeO 0.37, ZnO 13.08, CaO 2.55, Na2O 8.04, total 99.54 wt.%. The empirical formula calculated on 24 O apfu (atoms per formula unit) is Na3.10Sr2.29Ca0.54Pb0.06(Ce0.55La0.19Nd0.17Pr0.06Sm0.02Gd0.02Eu0.01Tb0.01Dy0.01)Σ1.04Zn1.92Fe0.06 Si8.00O24 Z = 2. The structural formula based on refined site-occupancies is (Na2.94Sr0.06)Σ3.00 [(Sr2.23Ca0.54Pb0.06Na0.13)Σ2.96Ln3+1.04]Σ4.00[(Zn1.92Fe2+0.06)Σ1.98Si8O24], where Ln3+1.04 = (Ce0.55La0.19Nd0.17Pr0.06Sm0.02Gd0.02Eu0.01Tb0.01Dy0.01)Σ1.04. The crystal structure of rundqvistite-(Ce) was refined to R1 = 2.76% on the basis of 3184 unique reflections [F > 4σ|F|]. In rundqvistite-(Ce), the main structural unit is a (Zn2Si8O24)12– sheet parallel to (100). In the sheet, the Si and Zn tetrahedra form four-, five- and eight-membered rings. The interstitial cations at the Na and M(1–3) sites sum to [Na3(Sr3Ce)]12– apfu. The Na and M(1–3) polyhedra share common edges to form a layer. Rundqvistite-(Ce) is a structural analogue of vladykinite, ideally Na3Sr4(Fe2+Fe3+)Si8O24. Rundqvistite-(Ce) and vladykinite are related by the following substitution: [8]Ce3+ + [4](Zn2+)2 ↔ [8]Sr2+ + [4](Fe2+Fe3+). The mineral is named after Dmitry Vasilievich Rundqvist (1930–2022), a prominent Russian geologist and an expert on the geology of ore deposits, metallogeny and mineralogy of Precambrian rocks.

People simultaneously entangled in multiple state systems are often subject to contradictory legal mandates that can foster distrust and incentivize system avoidance. This study focuses on those indebted to both the child support system and the criminal legal system, a situation we describe as dual debt. We ask whether and how the imposition of legal debts with punitive surveillance and collections mechanisms fosters alienation in the form of legal cynicism and estrangement, which we refer to jointly as legal anomie. Drawing from interview data in Minnesota, we find that legal anomie and system avoidance are mutually reinforcing processes, as debts in these systems triggered consequences that pushed people out of the formal labor market and heightened their distrust of legal institutions. The case of dual debt demonstrates how alienating and contradictory policy systems can foster both legal anomie and system avoidance, particularly in the context of economic and social precarity.

Why do rebel splinter groups emerge during peace processes, and who chooses to defect? Since Colombia's landmark peace agreement with the FARC in 2016, roughly half of the territory once controlled by the group has seen a resurgence of rebel activity by FARC splinter groups. I argue that the FARC's return to arms is a case of “middle-out fragmentation,” whereby opportunities for profit induce mid- or low-ranking rebel commanders to establish splinter groups. In Colombia, I argue that profits from the cocaine trade incentivized local-level FARC officers to defect from the peace agreement and allowed them to rapidly mobilize viable splinter groups. I offer several lines of evidence for this argument. I first construct a chronology of splinter group formation, which demonstrates that mid- and low-level commanders, rather than high-level commanders, were the key drivers of fragmentation. Second, I show that splinter groups emerged in areas where opportunities for profit were greatest. Among areas previously controlled by the FARC, those with coca cultivation prior to the peace agreement were up to thirty-seven percentage points more likely to see splinter groups emerge by 2020 than areas without significant production. Using soil and weather conditions to instrument for coca cultivation produces similar results. Further, I use a novel measure of how critical each municipality is to drug trafficking to show that areas that are theoretically most important for drug trafficking are also more likely to see FARC resurgence. I also address competing explanations related to state capacity, terrain, and popular support for the rebels. These findings highlight an important challenge to peacebuilding: satisfying the political demands of rebel leadership is a necessary but insufficient component of peace agreements in cases where opportunities for profit motivate fragmentation from the middle out.

We present new Australia Telescope Compact Array (ATCA) radio observations towards N 49, one of the brightest extragalactic supernova remnants (SNRs) located in the Large Magellanic Cloud (LMC). Our new and archival ATCA radio observations were analysed along with Chandra X-ray data. These observations show a prominent ‘bullet’ shaped feature beyond the southwestern boundary of the SNR. Both X-ray morphology and radio polarisation analysis support a physical connection of this feature to the SNR. The ‘bullet’ feature’s apparent velocity is estimated at $\sim$1 300 km s$^{-1}$, based on its distance ($\sim$10 pc) from the remnant’s geometric centre and estimated age ($\sim$7 600 yr). we estimated the radio spectral index, $\alpha= -0.55 \pm 0.03$ which is typical of middle-age SNRs. Polarisation maps created for N 49 show low to moderate levels of mean fractional polarisation estimated at 7$\pm$1% and 10$\pm$1% for 5.5 and 9 GHz, respectively. These values are noticeably larger than found in previous studies. Moreover, the mean value for the Faraday rotation of SNR N 49 from combining CABB data is 212$\pm$65 rad m$^{-2}$ and the maximum value of RM is 591$\pm$103 rad m$^{-2}$.

Oral traditions describing details of ancient volcanic eruptions and their effects survive throughout the inhabited world. Many such eruptions, especially those having catastrophic environmental and societal consequences, proved sufficiently memorable to form the basis of enduring oral traditions. Using global databases, we identified 2306 such eruptions from 477 inhabited locations that occurred before the start of the Common Era (CE) and are therefore likely to have been the subject of oral traditions. Of these, we selected 20 events (‘remembered’ Holocene eruptions) for which there are extant oral (-derived) traditions that demonstrate how such traditions can reveal details of past volcanism that often are undetectable by retrodictive geoscientific enquiry. We also selected 20 events (‘forgotten’ Holocene eruptions) about which no oral traditions are known and discuss the possible reasons for this. Such oral traditions, while often challenging for conventionally trained geoscientists to interpret, are valuable yet largely overlooked sources of information about the nature and effects of Holocene volcanism that can usefully complement geoscientific enquiry. In particular, we identified locations where memories of such volcanism appear ‘forgotten’ in the hope that scientists might focus their attention on revealing, identifying, and analyzing local traditions.

Studies investigating the acquisition of multiword items (MWIs) from reading have furnished evidence that the likelihood of acquisition improves considerably if such items are typographically enhanced (e.g., bolded or underlined) in the texts. In the case of captioned audio-visual materials, however, an earlier study by the authors did not find such compelling evidence. In that study, indications of an effect emerged only when the same video was watched twice. Arguably, for learners to benefit more immediately from typographic enhancement in captions, they may need to be made aware of its purpose beforehand. The present article therefore reports an approximate replication of Majuddin et al. (2021), but this time the students were informed about the MWI-learning purpose of watching the video. As in the original study, the learners watched a video once or twice with standard captions, with captions in which MWIs were enhanced, or without captions. The positive effect of enhancement for MWI learning was clearer than in the original study, and it already emerged after a single viewing. On the downside, enhancement was found to have a negative effect on lower-proficiency learners' comprehension of the content of the video.

In the late 1990s and early 2000s, fans assembled at stadiums and arenas across the country to witness a recurring spectacular event. They headed toward the local ballpark or arena, not to watch their favorite teams and entertainers perform inside, but rather to witness the implosion of the facilities themselves. As the United States was in the midst of its latest stadium construction boom, a new community ritual took shape: the ceremonial demolition of stadiums that were built in the 1960s and 1970s. Facilities that were once celebrated for their modern designs and conveniences were deemed ugly and obsolete seemingly overnight. Atlanta-Fulton County Stadium, Three Rivers Stadium in Pittsburgh, Riverfront Stadium in Cincinnati, Market Square Arena in Indianapolis, among dozens of other professional stadiums, were demolished in this spectacular fashion (Figure 1). Explosives were strategically placed throughout the abandoned facilities, and fans gathered yards away to watch the buildings burst into gigantic clouds of dust and smoke, the environmental consequences of sending pollutants into the air notwithstanding. Television networks covered the detonations while fans donned team colors, cheered, and shed tears as their beloved community gathering places were blown into oblivion.

We examine the fluid flow forced by precession of a rotating cylindrical container using numerical simulations and experimental flow measurements with ultrasonic Doppler velocimetry. The analysis is based on the decomposition of the flow field into contributions with distinct azimuthal symmetry or analytically known inertial modes and the corresponding calculation of their amplitudes. We show that the predominant fraction of the kinetic energy of the precession-driven fluid flow is contained only within a few large-scale modes. The most striking observation shown by simulations and experiments is the transition from a flow dominated by large-scale structures to a more turbulent behaviour with the small-scale fluctuations becoming increasingly important. At a fixed rotation frequency (parametrized by the Reynolds number, $Re$) this transition occurs when a critical precession ratio is exceeded and consists of a two-stage collapse of the directly driven flow going along with a massive modification of the azimuthal circulation (the zonal flow) and the appearance of an axisymmetric double-roll mode limited to a narrow range of precession ratios. A similar behaviour is found in experiments which make it possible to follow the transition up to Reynolds numbers of $Re\approx 2\times 10^6$. We find that the critical precession ratio decreases with rotation, initially showing a particular scaling ${\propto }Re^{-({1}/{5})}$ but developing an asymptotic behaviour for $Re\gtrsim 10^5$ which might be explained by the onset of turbulence in boundary layers.

A vast amount of clinical data are still stored in unstructured text. Automatic extraction of medical information from these data poses several challenges: high costs of clinical expertise, restricted computational resources, strict privacy regulations, and limited interpretability of model predictions. Recent domain adaptation and prompting methods using lightweight masked language models showed promising results with minimal training data and allow for application of well-established interpretability methods. We are first to present a systematic evaluation of advanced domain-adaptation and prompting methods in a lower-resource medical domain task, performing multi-class section classification on German doctor’s letters. We evaluate a variety of models, model sizes (further-pre)training and task settings, and conduct extensive class-wise evaluations supported by Shapley values to validate the quality of small-scale training data and to ensure interpretability of model predictions. We show that in few-shot learning scenarios, a lightweight, domain-adapted pretrained language model, prompted with just 20 shots per section class, outperforms a traditional classification model, by increasing accuracy from $48.6\%$ to $79.1\%$. By using Shapley values for model selection and training data optimization, we could further increase accuracy up to $84.3\%$. Our analyses reveal that pretraining of masked language models on general-language data is important to support successful domain-transfer to medical language, so that further-pretraining of general-language models on domain-specific documents can outperform models pretrained on domain-specific data only. Our evaluations show that applying prompting based on general-language pretrained masked language models combined with further-pretraining on medical-domain data achieves significant improvements in accuracy beyond traditional models with minimal training data. Further performance improvements and interpretability of results can be achieved, using interpretability methods such as Shapley values. Our findings highlight the feasibility of deploying powerful machine learning methods in clinical settings and can serve as a process-oriented guideline for lower-resource languages and domains such as clinical information extraction projects.

During excavations of a Roman villa at Fordham, Essex, a remarkable series of decorated bone and antler veneer plaques were recovered from villa destruction deposits. They are datable to the later fourth or fifth centuries a.d. and probably once adorned a casket holding bathing equipment and jewellery. Spread through the three main rooms of the villa, fragments were recovered from at least 10 metres apart, so the object is likely already to have been broken when deposited. The plaques are decorated with ‘late antique’ style figural, zoomorphic, vegetal and architectural motifs on a cross-hatched background, with the best-preserved design probably relating to female bathing.

Müller Ice Cap sits on Umingmat Nunaat (Axel Heiberg Island), Nunavut, Canada, ~ 80°N. Its high latitude and elevation suggest it experiences relatively little melt and preserves an undisturbed paleoclimate record. Here, we present a suite of field measurements, complemented by remote sensing, that constrain the ice thickness, accumulation rate, temperature, ice-flow velocity, and surface-elevation change of Müller Ice Cap. These measurements show that some areas near the top of the ice cap are more than 600 m thick, have nearly stable surface elevation, and flow slowly, making them good candidates for an ice core. The current mean annual surface temperature is −19.6 °C, which combined with modeling of the temperature profile indicates that the ice is frozen to the bed. Modeling of the depth-age scale indicates that Pleistocene ice is likely to exist with measurable resolution (300–1000 yr m−1) 20–90 m from the bed, assuming that Müller Ice Cap survived the Holocene Climatic Optimum with substantial ice thickness (~400 m or more). These conditions suggest that an undisturbed Holocene climate record could likely be recovered from Müller Ice Cap. We suggest 91.795°W, 79.874°N as the most promising drill site.