bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring malapari (Pongamia pinnata (L.) Pierre) from the Eastern part of Indonesia
Authors: Aminah A , Cahyaningsih R , Putri A I , Cahyono D D N , Danu  , Djam’an D , Irmayanti L , Wibisono H S , Syamsuwida D , Suita E , Nuroniah H S , Siregar N , Lukman A H , Hendrato K A , Utami E R B , Bahanan F 
Published: August 2024

Abstract
Malapari (Pongamia pinnata (L) Pierre) is a plant species widely distributed throughout Indonesia and can be both a renewable energy and medicinal source. Malapari-related research, such as exploration, characterization, seed production capacity, and propagation (both generative and vegetative) has been done in the western part of Indonesia but not in the eastern part. As a result, exploration was carried out in the east part of Indonesia to locate new malapari population. The population’s morphological characters were also examined, and a dendrogram was used to analyze the characters. Plant samples from Bali, the Maluku Islands, and Nusa Tenggara Islands were investigated, characterized, and gathered. The fruits and cuttings (as plant materials) were collected for ex-situ conservation purposes. The natural distribution of malapari in eastern Indonesia are presented, along with their morphological characters and the dendrogram indicating no apparent distinction between them. The conservation and sustainable usage of this plant might benefit from these findings.
Contribution of palm oil and soybean oil to sustainable development goals
Authors: Bharti V , Obaideen K , Azahari D H , Amalia Rizki 
Published: August 2024

Abstract
Palm oil is the most consumed vegetable oil in the world, followed by soybean oil. The environmental, social, and economic impacts of vegetable oils have always been a matter of much debate despite their importance in food security and use in a wide array of products. Regardless of the criticism, vegetable oils play a central role in global trade, economic stability, food security, employment, and livelihoods of smallholder farmers globally. Recent disruptions in the worldwide supply caused by weather issues, armed conflict, supply chain disruptions, and labour shortages, which resulted in shortages and higher prices of vegetable oils, have reemphasized their importance. This paper attempts to quantify the contribution of the two most consumed vegetable oils to Sustainable Development Goals (SDGs) using 12 selected indicators. These selected indicators cover the three pillars of sustainable development, i.e., economic, environmental, and social. These are namely – Protein supply, saturated and polyunsaturated fatty acids, land use, GHG emissions, contribution to GDP, jobs creation, productivity, water footprint, use of pesticides, fertilizers and food supply. These indicators are associated with 9 SDG goals. The study aims to analyze the complex web of interactions and effects of two primary vegetable oil crops on the Sustainable Development Goals (SDGs). It highlights significant data deficiencies related to their impacts on specific SDGs, notably 13 and 15 (Climate Action & Life on Land), indicating that both the environmental and social consequences of the vegetable oils sector are still inadequately comprehended.
Hybrid deep learning for design of nanophotonic quantum emitter lenses
Authors: Acharige Didulani , Johlin Eric 
Published: August 2024

Abstract
Inverse design of nanophotonic structures has allowed unprecedented control over light. These design processes however are accompanied with challenges, such as their high sensitivity to initial conditions, computational expense, and complexity in integrating multiple design constraints. Machine learning approaches, however, show complementary strengths, allowing huge sample sets to be generated nearly instantaneously, and with transfer learning, allowing modifications in design parameters to be integrated with limited retraining. Herein we investigate a hybrid deep learning approach, leveraging the accuracy and performance of adjoint-based topology optimization to produce a high-quality training set for a convolutional generative network. We specifically explore this in the context of 3D nanophotonic lenses, used for focusing light between plane-waves and single-point, single-wavelength sources such as quantum emitters. We demonstrate that this combined approach allows higher performance than adjoint optimization alone when additional design constraints are applied; can generate large datasets (which further allows faster iterative training to be performed); and can utilize transfer learning to be retrained on new design parameters with very few new training samples. This process can be used for general nanophotonic design, and is particularly beneficial when a range of design parameters and constraints would need to be applied.
Between The Sjambok and the Bantu World
Authors: Fossati Marta 
Published: August 2024

Abstract
This chapter explores the English short stories that the Zulu-language writer Rolfes Dhlomo published in the two South African magazines The Sjambok and the Bantu World between the late 1920s and the 1930s. It discusses how these publishing venues, directed at a ‘European’ and ‘African’ readership respectively, shaped Dhlomo’s short fiction in very different ways at the level of form and content. It also highlights the pivotal role played by the press and the influence it exerted on definitions of the ‘literary’ for creative writing by Black writers in the 1930s. Ultimately, this chapter raises some questions about the ambivalent stance of the writer—as a mission-educated New African intellectual—towards modernity and the role of the English language.
Interlude
Authors: Fossati Marta 
Published: August 2024

Abstract
This chapter considers Dark Testament (1942) by Peter Abrahams, an ‘outsider’ figure in South Africa’s literary history. It thus functions as a link—an interlude—between the first and second parts of this book. The chapter offers a close reading that foregrounds the tensions within Dark Testament between ethical imperatives, the need to document, and a desire to overcome the particular situation of South Africa and to enter the international (mainly Western) literary market. On the level of form, this tension translates into a late modernist aesthetics coupled with autobiographical claims. This chapter also traces the contours of the author’s personal and literary connections with the US, and particularly Langston Hughes, thus positioning Dark Testament in a wider transnational context.
Beyond South Africa and the Politics of Realism
Authors: Fossati Marta 
Published: August 2024

Abstract
This chapter uses Zoë Wicomb’s theoretical essays as a starting point to comment on her two short-story cycles You Can’t Get Lost in Cape Town (1987) and The One that Got Away (2008). It reads the author’s short fiction through the notions of setting and intertextuality, or rather setting as intertextuality. This final chapter argues that Wicomb’s aesthetic practice—intertextuality, metafiction, retellings, uncanniness—stages (ethically) infinite gestures of repetition that resist any essentialist and monolithic interpretations, giving space to the narratives of minor, marginalized voices. She thus discards both the construction of ethnic identities (inherent in the rhetoric of apartheid and the new Rainbow Nation) and acts of generic classification.
Beyond the Law's Reach?
Authors: Nili Shmuel 
Published: August 2024

Abstract
This book argues that fundamental assumptions in contemporary political philosophy need to be rethought in the face of pervasive political violence. At an applied level, the book develops this broad claim by delving into a series of specific controversies, all revolving around affluent democracies’ policy responses to the threat of pervasive violence abroad. Examples include the ethics of giving refuge to beleaguered autocrats to avert civil war in their country; the ethics of prosecuting foreign officials who have colluded with drug cartels; and the admission of oligarchs who acquired their riches by distorting their country’s rule of law. At a more theoretical level, the book aims to show that the moral principles needed to adjudicate these particular controversies can illuminate broader issues in normative political theory. These range from the philosophy of criminal punishment, through the relationship between the law’s letter and its spirit, to the general plausibility of certain moral theories (and meta-theories) as public policy guides.
The Law, Unsealed
Authors: Nili Shmuel 
Published: August 2024

Abstract
Building on the conceptual foundations laid out in Chapter 1, this chapter proceeds in two parts. The opening part examines influential social-scientific research showing why the shadow of violence, once it comes to pervade a given jurisdiction, is extraordinarily hard to remove. This social-scientific work further motivates the book’s focus on how affluent democracies might respond to the shadow of violence abroad within their own jurisdictions. The chapter’s latter part elaborates on why the book not only focuses on democracies’ jurisdictional dilemmas, but also foregrounds democracies’ own entanglement in foreign crime occurring under the shadow of violence. The chapter develops the ideas of ‘relational priority’ and ‘normative path-dependence’ sketched in the introduction and expands on why the thorny third-best justice dilemmas taken up in later chapters have analytical priority over much more abstract, first-best visions of perfect justice, which have long been the mainstay of analytical political philosophy.
Triple network resting-state functional connectivity patterns of alcohol heavy drinking
Authors: Elsayed Mahmoud , Marsden Emma , Hargreaves Tegan , Syan Sabrina K , MacKillop James , Amlung Michael 
Published: August 2024

Abstract

Aims
Previous neuroimaging research in alcohol use disorder (AUD) has found altered functional connectivity in the brain’s salience, default mode, and central executive (CEN) networks (i.e. the triple network model), though their specific associations with AUD severity and heavy drinking remains unclear. This study utilized resting-state fMRI to examine functional connectivity in these networks and measures of alcohol misuse.

Methods
Seventy-six adult heavy drinkers completed a 7-min resting-state functional MRI scan during visual fixation. Linear regression models tested if connectivity in the three target networks was associated with past 12-month AUD symptoms and number of heavy drinking days in the past 30 days. Exploratory analyses examined correlations between connectivity clusters and impulsivity and psychopathology measures.

Results
Functional connectivity within the CEN network (right and left lateral prefrontal cortex [LPFC] seeds co-activating with 13 and 15 clusters, respectively) was significantly associated with AUD symptoms (right LPFC: β = .337, p-FDR = .016; left LPFC: β = .291, p-FDR = .028) but not heavy drinking (p-FDR &gt; .749). Post-hoc tests revealed six clusters co-activating with the CEN network were associated with AUD symptoms—right middle frontal gyrus, right inferior parietal gyrus, left middle temporal gyrus, and left and right cerebellum. Neither the default mode nor the salience network was significantly associated with alcohol variables. Connectivity in the left LPFC was correlated with monetary delay discounting (r = .25, p = .03).

Conclusions
These findings support previous associations between connectivity within the CEN network and AUD severity, providing additional specificity to the relevance of the triple network model to AUD.
Co-flowering richness has variable effects on pollen quantity and quality limitation in four Clarkia species
Authors: Albor Cristopher , Eisen Katherine , Moore Emma , Geber Monica , Ashman Tia-Lynn , Raguso Robert A , Arceo-Gómez Gerardo 
Published: August 2024

Abstract

Background and Aims
Pollination failure occurs from insufficient pollen quantity or quality. However, the relative contributions of pollen quantity vs. quality to overall pollen limitation, and how this is affected by the co-flowering context, remain unknown for most plant populations. Here, we studied patterns of pollen deposition and pollen tube formation across populations of four predominately outcrossing species in the genus Clarkia to evaluate how the richness of co-flowering congeners affects the contribution of pollen quantity and quality to pollen limitation.

Methods
We partition variation in pollen deposition and pollen tube production across individuals, populations and species to identify the main sources of variation in components of reproductive success. We further quantify the relative contribution of pollen quantity and quality limitation to the reproductive success of the four Clarkia species using piecewise regression analyses. Finally, we evaluate how variation in the number of co-flowering Clarkia species in the community affects the strength of pollen quality and quality limitation.

Results
Across all contexts, pollen deposition and the proportion of pollen tubes produced varied greatly among individuals, populations and species, and these were not always correlated. For instance, C. xantiana received the smallest pollen loads yet produced the highest proportion of pollen tubes, while C. speciosa exhibited the opposite pattern. Yet, co-flowering richness had variable effects on the strength of pollen quantity and quality limitation among populations. Specifically, breakpoint values, which are an indicator of overall pollen limitation, were two-fold higher in the four-species community compared with one- and two-species communities for two Clarkia species, suggesting that pollen limitation can increase with increasing richness of co-flowering congeners.

Conclusions
Our results reveal a complex interplay between the quantity and quality of pollen limitation and co-flowering context that may have different evolutionary outcomes across species and populations.
Automated Neuropsychological Assessment Metrics: Normative Reference Values for U. S. Army National Guard Soldiers
Authors: Heaton Kristin J , Donovan Ashley A , Haven Caitlin , Finkelstein Katherine , Ekon Nicole , Choffnes Sarah , Nguyen Vy T , Vincent Andrea S , Proctor Susan P 
Published: August 2024

Abstract

Objective
The Automated Neuropsychological Assessment Metrics (ANAM) is a computerized cognitive test system used extensively with military service members. The aim of this study was to develop a nationally representative normative dataset of Army National Guard (ARNG) personnel and to explore potential relationships between ANAM performances and select military service, demographic, and health factors.

Methods
ANAM performance data were collected using standardized procedures from a representative sample of ARNG service members in six U.S. states. Normative performance values, stratified by age, sex, and military occupational category, were calculated for each ANAM subtest and descriptive measures were computed, along with base rates of below-average performance. The effect of demographic (e.g., age, sex, education, race) and military service and health factors (e.g., deployment, job category, history of head injury) was examined.

Results
Data from 1,436 ARNG service members (14.3% female) were analyzed, and normative values calculated. Overall, differences in ANAM performance based on demographic, military service, and health factors were small. A total of 8.9% of the sample had scores on two or more subtests that were ≥ 1.3 SD below the mean; this dropped to 1.9% using a more stringent cut point (≥2 SD below the mean).

Conclusion
The ANAM normative data reported herein ensure that healthcare providers and researchers have access to reference data that more accurately reflect the larger population of ARNG service members. These data support the assessment and management of ARNG service members’ health, as well as future ANAM research involving ARNG service members.
Performance assessment of computational tools to detect microsatellite instability
Authors: Anthony Harrison , Seoighe Cathal 
Published: August 2024

Abstract
Microsatellite instability (MSI) is a phenomenon seen in several cancer types, which can be used as a biomarker to help guide immune checkpoint inhibitor treatment. To facilitate this, researchers have developed computational tools to categorize samples as having high microsatellite instability, or as being microsatellite stable using next-generation sequencing data. Most of these tools were published with unclear scope and usage, and they have yet to be independently benchmarked. To address these issues, we assessed the performance of eight leading MSI tools across several unique datasets that encompass a wide variety of sequencing methods. While we were able to replicate the original findings of each tool on whole exome sequencing data, most tools had worse receiver operating characteristic and precision-recall area under the curve values on whole genome sequencing data. We also found that they lacked agreement with one another and with commercial MSI software on gene panel data, and that optimal threshold cut-offs vary by sequencing type. Lastly, we tested tools made specifically for RNA sequencing data and found they were outperformed by tools designed for use with DNA sequencing data. Out of all, two tools (MSIsensor2, MANTIS) performed well across nearly all datasets, but when all datasets were combined, their precision decreased. Our results caution that MSI tools can have much lower performance on datasets other than those on which they were originally evaluated, and in the case of RNA sequencing tools, can even perform poorly on the type of data for which they were created.
Synthesis of geometrically realistic and watertight neuronal ultrastructure manifolds for in silico modeling
Authors: Abdellah Marwan , Foni Alessandro , Cantero Juan José García , Guerrero Nadir Román , Boci Elvis , Fleury Adrien , Coggan Jay S , Keller Daniel , Planas Judit , Courcol Jean-Denis , Khazen Georges 
Published: August 2024

Abstract
Understanding the intracellular dynamics of brain cells entails performing three-dimensional molecular simulations incorporating ultrastructural models that can capture cellular membrane geometries at nanometer scales. While there is an abundance of neuronal morphologies available online, e.g. from NeuroMorpho.Org, converting those fairly abstract point-and-diameter representations into geometrically realistic and simulation-ready, i.e. watertight, manifolds is challenging. Many neuronal mesh reconstruction methods have been proposed; however, their resulting meshes are either biologically unplausible or non-watertight. We present an effective and unconditionally robust method capable of generating geometrically realistic and watertight surface manifolds of spiny cortical neurons from their morphological descriptions. The robustness of our method is assessed based on a mixed dataset of cortical neurons with a wide variety of morphological classes. The implementation is seamlessly extended and applied to synthetic astrocytic morphologies that are also plausibly biological in detail. Resulting meshes are ultimately used to create volumetric meshes with tetrahedral domains to perform scalable in silico reaction-diffusion simulations for revealing cellular structure–function relationships. Availability and implementation: Our method is implemented in NeuroMorphoVis, a neuroscience-specific open source Blender add-on, making it freely accessible for neuroscience researchers.
Pustular mycosis fungoides has a poor outcome: a multicentric clinicopathological and molecular case series
Authors: Bontoux Christophe , Badrignans Marine , Afach Sivem , Sbidian Emilie , Mboumba Diana-Laure , Ingen-Housz-Oro Saskia , Claudel Alexis , Aubriot-Lorton Marie-Hélène , Chong-Si-Tsaon Arnaud , Le Masson Gilles , Attencourt Christophe , Dubois Romain , Beltzung Fanny , Koubaa Wafa , Beltraminelli Helmut , Cardot-Leccia Nathalie , Balme Brigitte , Nguyen Anh tuan , Bagny Kelly , Legoupil Delphine , Moustaghfir Ibtissam , Denamps Juliette , Mortier Laurent , Hammami-Ghorbel Houda , Skrek Sergey , Rafaa Mostefa , Fougerousse Anne-Claire , Deschamps Thibaut , Dalle Stéphane , D’incan Michel , Chaby Guillaume , Beylot-Barry Marie , Dalac Sophie , Ortonne Nicolas 
Published: August 2024

Abstract

Background
Mycosis fungoides (MF) usually has an indolent course. However, some patients develop more aggressive disease and few prognostic parameters have been identified. Isolated cases of pustular MF (pMF) suggest an unfavourable prognosis.

Objectives
To describe the clinicopathological characteristics and prognostic value of pMF.

Methods
We retrospectively collected data from all patients with MF with histological pustules diagnosed from 2009 to 2020. The outcomes and clinicopathological characteristics of pMF at diagnosis (pMFD) were compared with those of a cohort of patients with nonpustular MF (NpMF).

Results
Thirty-three patients with pMF (including 22 with pMFD) and 86 with NpMF were included. Median age at diagnosis of pMF was 61 years [interquartile range (IQR) 50–75]. The median duration of follow-up for patients with pMFD was 32 months (IQR 14–49). Clinically, 33% of patients with pMF had pustules. Large cell transformation (LCT) occurred in 17 patients. Patients with pMFD had significantly more advanced-stage disease and showed more LCT at diagnosis than those with NpMF [50% vs. 7% (P &lt; 0.001) and 23% vs. 0% (P &lt; 0.001), respectively]. On multivariate Cox analysis, the presence of histological pustules at diagnosis was associated with shorter overall survival (OS) in all patients [hazard ratio (HR) 13.90, 95% confidence interval (CI) 2.40–79.00); P = 0.003] and in patients with early-stage disease (HR 11.09, 95% CI 1.56–78.82; P = 0.02). In multivariate Fine and Gray model analysis, pMFD was associated with a higher cumulative incidence of LCT (subdistribution HR 13.90, 95% CI 2.43–79.00; P = 0.003) in all patients. Median OS after the occurrence of histological pustules during follow-up in all patients with pMF was 37 months, with a 5-year OS rate of 25% (95% CI 0.06–0.50).

Conclusions
pMF often follows an aggressive course, with a high risk of LCT and shorter survival, even for patients with early-stage disease. Histological pustules at diagnosis of MF might represent an independent poor prognostic factor, to be confirmed by further studies. As pustules are not always identified clinically, pustules found on histology should be mentioned in MF pathology reports and should prompt discussion of closer follow-up.