bluuebunny/crossref_metadata_2025 huggingface dataset:
Afrothismiaceae (Dioscoreales), a new fully mycoheterotrophic family endemic to tropical Africa
Authors: Cheek Martin , Soto Gomez Marybel , Graham Sean W. , Rudall Paula J.
Published: November 2023

Afrothismia is a genus of non-photosynthetic mycoheterotrophs from the forests of continental tropical Africa. Multiple phylogenetic inferences using molecular data recover the genus as sister to a clade comprising mycoheterotrophic Thismiaceae and the photosynthetic family Taccaceae, contrary to earlier placements of Afrothismia and Thismiaceae within Burmanniaceae. Morphological support for separating Afrothismia from the rest of Thismiaceae has depended on the zygomorphic flowers of Afrothismia (although some species of Thismia are also zygomorphic), and their clusters of root tubers, each with a terminal rootlet. The number of described species of Afrothismia has recently increased from four to 16, with seven more species as yet undescribed; these discoveries have added morphological characters that support its distinction from Thismiaceae. Most notably, the ovary in Afrothismia has a single stalked placenta, and circumscissile fruits from which seeds are exserted by placental elevation (vs in Thismiaceae, three placentas, a deliquescing fruit lid, and seeds not exserted). Afrothismia stamens are inserted in the lower part of the floral tube, where they are attached to the stigma, and individual flowers are subtended by a single large dorsal bract. In contrast, in Thismiaceae, stamens are inserted at the mouth of the tube, free of and distant from the stigma, and each flower is subtended by a loose whorl of (2 –) 3 (– 4) bracts. Here we formally characterise Afrothismiaceae and review what is known of its development, seed germination, interactions with mycorrhizal Glomeromycota, biogeography, phylogeny and pollination biology. All but one (Afrothismia insignis; Vulnerable) of the 13 species assessed on the IUCN Red List of Threatened Species are either Endangered or Critically Endangered; one species (A. pachyantha) is considered extinct.
Value co-destruction: Problems and solutions
Authors: Alexander Matthew , Vallström Niklas
Published: November 2023

The concept of value co-creation (VCC) is central to service-dominant logic (SDL) and forms its second axiom, namely that “Value is cocreated by multiple actors, always including the beneficiary” (Vargo & Lusch, 2016, p.8). In parallel with the evolution of VCC in SDL, the term “value co-destruction” (VCD) has also emerged within the services and marketing literature (Echeverri & Skålén, 2011; Plé & Cáceres, 2010). Value co-destruction is pitched as a reverse concept to VCC—another side of the same coin (Plé, 2017)—capturing how interactions, practices, and resource integrations between actors might have negative impacts on value formation. Research on VCD has both expanded and fragmented (Echeverri & Skålén, 2021), but the concept has not been subject to the same scrutiny as VCC. In this article, we question the logic underpinning VCD conceptualization and problematize its use. We articulate three specific problems: first, the need to view VCC as a normative statement; second, a logical flaw in how VCD captures negative outcomes; and third, an issue with the “co” in co-destruction. We offer two solutions for researchers in this area: first, given that VCC is representative of a metatheory, we present mid-range theories as providing opportunities for exploring the role of valence in interactive service experiences; second, we identify literature that presents a continuum of contrasting negative and positive value outcomes.
Blazing the trail for innovative tuberculosis diagnostics
Authors: Yerlikaya Seda , Broger Tobias , Isaacs Chris , Bell David , Holtgrewe Lydia , Gupta-Wright Ankur , Nahid Payam , Cattamanchi Adithya , Denkinger Claudia M.
Published: November 2023

The COVID-19 pandemic brought diagnostics into the spotlight in an unprecedented way not only for case management but also for population health, surveillance, and monitoring. The industry saw notable levels of investment and accelerated research which sparked a wave of innovation. Simple non-invasive sampling methods such as nasal swabs have become widely used in settings ranging from tertiary hospitals to the community. Self-testing has also been adopted as standard practice using not only conventional lateral flow tests but novel and affordable point-of-care molecular diagnostics. The use of new technologies, including artificial intelligence-based diagnostics, have rapidly expanded in the clinical setting. The capacity for next-generation sequencing and acceptance of digital health has significantly increased. However, 4 years after the pandemic started, the market for SARS-CoV-2 tests is saturated, and developers may benefit from leveraging their innovations for other diseases; tuberculosis (TB) is a worthwhile portfolio expansion for diagnostics developers given the extremely high disease burden, supportive environment from not-for-profit initiatives and governments, and the urgent need to overcome the long-standing dearth of innovation in the TB diagnostics field. In exchange, the current challenges in TB detection may be resolved by adopting enhanced swab-based molecular methods, instrument-based, higher sensitivity antigen detection technologies, and/or artificial intelligence-based digital health technologies developed for COVID-19. The aim of this article is to review how such innovative approaches for COVID-19 diagnosis can be applied to TB to have a comparable impact.
Is iterative feature selection technique efficient enough? A comparative performance analysis of RFECV feature selection technique in ransomware classification using SHAP
Authors: Mowri Rawshan Ara , Siddula Madhuri , Roy Kaushik
Published: November 2023

The realm of cybersecurity places significant importance on early ransomware detection. Feature selection is critical in this context, as it enhances detection accuracy, mitigates overfitting, and reduces training time by eliminating irrelevant and redundant data. However, iterative feature selection techniques tend to select the best-performing subset of features through an iterative process which leaves chance for a crucial feature not being selected and the number of selected features may not always be the optimal or the most suitable for a given problem. Hence, this study aims to conduct a performance comparison analysis of an iterative feature selection technique- Recursive Feature Elimination with Cross-Validation (RFECV) with six supervised Machine Learning (ML) models to evaluate its efficiency in classifying ransomware utilizing the Application Programming Interface (API) call and network traffic features. The study employs an Explainable Artificial Intelligence (XAI) framework called SHapley Additive exPlanations (SHAP) to derive the crucial features when RFECV is not integrated with the ML models. These features are then compared with RFECV-selected features when it is integrated. Results show that without RFECV the ML models achieve better classification accuracies on two datasets. Again, RFECV falls short of selecting impactful features, leading to more false alarms. Moreover, it lacks the capability to rank the features based on their importance, reducing its efficiency in ransomware classification overall. Thus, this study underscores the importance of integrating explainability techniques to identify critical features, rather than solely relying on iterative feature selection methods, to enhance the resilience of ransomware detection systems.
God and Being
Authors: Lyons Nathan
Published: November 2023

This Element examines how the Western philosophical-theological tradition between Plato and Aquinas understands the relation between God and being. It gives a historical survey of the two major positions in the period: (a) that the divine first principle is 'beyond being' (e.g. Plato, Plotinus, and Pseudo-Dionysius), and (b) that the first principle is 'being itself' (e.g. Augustine, Avicenna, and Aquinas). The Element argues that we can recognise in the two traditions, despite their apparent contradiction, complementary approaches to a shared project of inquiry into transcendence.
The Florentine Relation: A Newly Discovered Sixteenth-Century Description of the Kingdom of Kongo
Authors: Thornton John K.
Published: November 2023

A newly discovered Spanish description of Kongo increases our knowledge of the country, joining Filippo Pigafetta’s famous account to expand our knowledge of Kongo in this early period. This research shows that the MS was written in 1587 or 1588 and was written by Carmelite Diego de la Encarnación. It adds details on the history of the country, daily life culture, and links to other Carmelite works, including an unpublished chapter of an account by Diego de Santissimo Santo and shows the author could have written a longer but well-known account in the Vatican Library. It includes extensive quotations from the new text.
Prospect of ultrahigh-resolution fast neutron absorption spectroscopy based on a laser plasma electron accelerator
Authors: Wang Wen-Zhao , Feng Jie , Zhang Xiao-Peng , Li Yao-Jun , Zhou Wei-Jun , Yan Wen-Chao , Zhang Guo-Qiang , Fu Chang-Bo , Chen Li-Ming
Published: November 2023

Fast neutron absorption spectroscopy is widely used in the study of nuclear structure and element analysis. However, due to the traditional neutron source pulse duration being of the order of nanoseconds, it is difficult to obtain a high-resolution absorption spectrum. Thus, we present a method of ultrahigh energy-resolution absorption spectroscopy via a high repetition rate, picosecond duration pulsed neutron source driven by a terawatt laser. The technology of single neutron count is used, which results in easily distinguishing the width of approximately 20 keV at 2 MeV and an asymmetric shape of the neutron absorption peak. The absorption spectroscopy based on a laser neutron source has one order of magnitude higher energy-resolution power than the state-of-the-art traditional neutron sources, which could be of benefit for precisely measuring nuclear structure data.
The effects of green tea extract supplementation on body composition, obesity-related hormones and oxidative stress markers: a grade-assessed systematic review and dose–response meta-analysis of randomised controlled trials
Authors: Asbaghi Omid , Rezaei Kelishadi Mahnaz , Larky Damoon Ashtary , Bagheri Reza , Amirani Niusha , Goudarzi Kian , Kargar Fatemeh , Ghanavati Matin , Zamani Mohammad
Published: November 2023

Research indicates that green tea extract (GTE) supplementation is beneficial for a range of conditions, including several forms of cancer, CVD and liver diseases; nevertheless, the existing evidence addressing its effects on body composition, oxidative stress and obesity-related hormones is inconclusive. This systematic review and meta-analysis aimed to investigate the effects of GTE supplementation on body composition (body mass (BM), body fat percentage (BFP), fat mass (FM), BMI, waist circumference (WC)), obesity-related hormones (leptin, adiponectin and ghrelin) and oxidative stress (malondialdehyde (MDA) and total antioxidant capacity (TAC)) markers. We searched proper databases, including PubMed/Medline, Scopus and Web of Science, up to July 2022 to recognise published randomised controlled trials (RCT) that investigated the effects of GTE supplementation on the markers mentioned above. A random effects model was used to carry out a meta-analysis. The heterogeneity among the studies was assessed using the I2index. Among the initial 11 286 studies identified from an electronic database search, fifty-nine studies involving 3802 participants were eligible to be included in this meta-analysis. Pooled effect sizes indicated that BM, BFP, BMI and MDA significantly reduced following GTE supplementation. In addition, GTE supplementation increased adiponectin and TAC, with no effects on FM, leptin and ghrelin. Certainty of evidence across outcomes ranged from low to high. Our results suggest that GTE supplementation can attenuate oxidative stress, BM, BMI and BFP, which are thought to negatively affect human health. Moreover, GTE as a nutraceutical dietary supplement can increase TAC and adiponectin.
MFAP5 variant-induced multiple giant thoracic aortic aneurysm
Authors: Jin Yuxi , Li Tiange , Wu Shaoying , Liu Zhongqiang , Li Yifei
Published: November 2023

Heritable thoracic aortic aneurysms are complex conditions characterised by the dilation or rupture of the thoracic aorta, often occurring as an autosomal-dominant disorder associated with life-threatening complications. In this case report, we present a de novo variant, MFAP5 c.236_237insA (p.N79Kfs9), which is implicated in the development of inherited thoracic aortic aneurysm. The proband, a 15-year-old male, presented with recurrent cough, dull chest pain, chest distress, vomiting, and reduced activity tolerance, leading to the diagnosis of heritable thoracic aortic aneurysms. Whole-exome sequencing identified a novel heterozygous variant in MFAP5 (NM_003480, c.236_237insA, and p.N79Kfs9). MutationTester and PolyPhen-s predicted this variant to be damaging and disease-causing (probability = 1), while the SFIT score indicated protein damage (0.001). Structural analysis using the AlphaFold Protein structure database revealed that this mutation disrupted the N-linked glycosylation site, resulting in a frameshift, amino acid sequence alteration, and truncation of an essential protein site. To our knowledge, this is the first case report describing a young patient with heritable thoracic aortic aneurysm carrying the novel MFAP5 c.236_237insA (p.N79Kfs*9) variant. This variant represents the third identified mutation site associated with heritable thoracic aortic aneurysm. Given the high mortality and morbidity rates associated with thoracic aortic aneurysms, the prevention of severe and fatal complications is crucial in the clinical management of this condition. Our case highlights the importance of whole-exome sequencing and genetic screening in identifying potential pathogenic or likely pathogenic variants, particularly in early-onset patients with aortic dilation, to inform appropriate management strategies.
Variability of morphology, phytochemical traits and essential oil profile of tea (Camellia sinensis (L.) Kuntze) accessions in the southern region of the Caspian Sea
Authors: Montahae Dargah Samira , Bagher Rezaei Mohammad , Ghanbari Jahromi Marzieh , Kalateh Jari Sepideh , Jahangirzadeh Khiavi Shahin
Published: November 2023

Tea (Camellia sinensis (L.) Kuntze) leaves are an important beverage crop due to their high caffeine content. Although the north of Iran is the main region for high-quality tea plants, there is no document on variations of phenotypic traits of different accessions. The present study was to assess the biodiversity of 12 tea accessions originating from four tea main sites in Iran (Langroud, Siahkal, Kobijar and Bazkiaguorab) using multivariate analysis. Two-year-old tea plants were cultivated in a completely randomized design with five replicates in a greenhouse. One year after plant establishment, phenotypic characteristics were studied. The tea accessions showed different responses in chlorophyll and total ash contents. The highest and lowest amount of caffeine in tea accessions was found in Kobijar A7 and Langroud A2, respectively. Epicatechin was obtained in a 6.48–15.44 mg g−1 range, and the maximum variability was found in epigallocatechin gallate (EGCG), differing from 0.94 to 21.03 mg g−1. Langroud A2 and Bazkiaguorab A11 contained the maximum EGCG and the total polyphenolic content in Bazkiaguorab was greater than other accessions. Heat map analysis showed the maximum variability of EGCG, catechin, and GA among the accessions. The main essential oil compounds were 2-pentyl furan followed by hexanal, gamma-terpinene, octane, ortho-cymene, terpinen-4-ol, alpha-copaene and E-caryophyllene. In conclusion, changes in phytochemical traits caused by genetics and origin can significantly alter the quality of tea compounds. The results of this study can be utilized as raw materials in future breeding projects to improve new cultivars with superior characteristics.
Critical theory and memory politics: leftist autocritique after the Ukraine war
Authors: Heinze Eric
Published: November 2023

In recent years, Western governments have invoked the values of universal human rights to justify large-scale military operations. Critical theorists have often responded that these campaigns serve not to promote peace, stability, or prosperity, but to entrench Western economic and political power, often in ways that have been devastating for local populations. However, Russia’s 2022 invasion of Ukraine casts doubt on whether assumptions about Western dominance will continue to furnish adequate accounts of global armed conflict. Critical theorists base many of their views on what is sometimes called ‘memory politics’, meaning that they cite histories of Western militarism, colonialism, racism and economic exploitation as backdrops to current policies. In this article it is argued that they will only be able to explain a conflict like the Ukraine war with credibility by incorporating into their memory politics the left’s own histories of supporting autocratic regimes.
Compact size antenna for skin implantable medical devices
Authors: Janapala Doondi Kumar , Moses Nesasudha , Bhagavathsingh Jebasingh
Published: November 2023

This research work presents an implantable antenna that operates at 5.8 GHz. By using a radiator with a loop-based design, the antenna can be made smaller. Radiator is made up of three connected rectangular loops. On the substrate’s back side, an I-shaped ground plane is used. As substrate and superstrate, polydimethylsiloxane (PDMS) with dimensions of 7 mm × 5 mm × 0.3 mm is used. The conducting sections are made using copper foil that is 30 µm thick. The suggested antenna is examined by the implantable medical device using realistic human scalp phantom models and a homogenous skin box. Simulated study revealed that it operates around 5.8 GHz with a bandwidth from 5.69 to 5.92 GHz. The specific absorption rate was 0.28 and 0.26 W/kg for skin box and human scalp phantoms, respectively, at 1 mW input power across 1 g volume tissue.
The mental health and well-being of adolescents with/without intellectual disability in the UK
Authors: Emerson E. , Totsika V. , Hatton C. , Hastings R. P.
Published: November 2023

Aims

To estimate the self-reported and parent-reported mental well-being of adolescents (aged 14 and 17) with/without intellectual disability in a sample of young people representative of the UK population.

Methods

Secondary analysis of data collected in Waves 6 and 7 of the UK’s Millennium Cohort Study. The analytic sample consisted of 10,838 adolescent respondents at age 14 (361 with intellectual disability and 10,477 without) and 9,408 adolescent respondents at age 17 (292 with intellectual disability and 9,116 without).

Results

Parental reports of adolescent problems on the Strengths and Difficulties Questionnaire (SDQ) indicated that adolescents with intellectual disability at ages 14 and 17 were more likely to have problems than those without intellectual disability across all SDQ domains. Adolescent self-report data at age 17 indicated that adolescents with intellectual disability were more likely to (self)-report that they had problems than those without intellectual disability on all but one SDQ domain. The magnitude of relative inequality between those with and without intellectual disability was consistently lower for self-report than parental report. On indicators of depression, mental well-being, self-harm, positive mental health, happiness and general psychological distress at ages 14 and 17, we found no self-reported group differences between adolescents with and without intellectual disability.

Conclusions

Further research is needed to understand: (1) why the magnitude of mental health inequalities between those with and without intellectual disability on the SDQ may be dependent on the identity of the informant; and (2) whether such differences are also apparent for other measures of mental health or well-being.
Two Competing Drivers of the Recent Walker Circulation Trend
Authors: Watanabe Masahiro , Iwakiri Tomoki , Dong Yue , Kang Sarah M.
Published: November 2023

The Pacific Walker circulation (PWC) weakens under global warming in climate change projections, supported by a global hydrological constraint. However, the PWC has strengthened over the past decades despite ongoing global warming, and the cause has been a puzzle. Because PWC is coupled with the pattern of sea surface temperature (SST) in the tropical Pacific, quantifying the relative impact of SST pattern change and global warming on the past PWC trend is important. We show, using an atmosphere model driven by observed boundary conditions for 1979–2013 and a hypothetical uniform surface warming trend with varying magnitude, that the PWC scales with warming and weakens by 8% per °C, but this effect cannot overcome the SST pattern effect that intensifies the circulation. Further attribution experiments show that the past strengthening of PWC is explained directly by the SST warming pattern in the narrow equatorial band, about 30% of which is induced by the Indian Ocean.
Ice Cloud Formation Related to Oceanic Supply of Ice‐Nucleating Particles: A Case Study in the Southern Ocean Near an Atmospheric River in Late Summer
Authors: Sato Kazutoshi , Inoue Jun
Published: November 2023

This study investigated ice cloud formation associated with marine bioaerosols over the Southern Ocean (SO) using a combination of cloud particle sensor (CPS) sonde observations, satellite products, reanalysis data, and backward trajectory analysis. The CPS sonde detected ice clouds at temperatures higher than −10°C in the mid‐troposphere near an atmospheric river at high‐latitudes over the SO. Backward trajectory analyses indicated that a mid‐latitude air mass with a high concentration of atmospheric dimethylsulfide (DMS) in the atmospheric boundary layer (<1 km) arrived at the ice cloud formation layer over the high‐latitudes. The DMS in the boundary layer began to increase under high wave conditions, coincident with the highest chlorophyll‐a concentrations in the ocean. These results suggest that bioaerosols emitted from the ocean over the mid‐latitudes acted as ice‐nucleating particles for ice cloud formation over high‐latitudes.
Impact of Assimilating C‐Band Phased‐Array Radar Data With EnKF on the Forecast of Convection Initiation: A Case Study in Beijing, China
Authors: Ming Jie , Gong Peng , Lu Yinghui , Zhao Kun , Huang Hao , Chen Xingchao , Wang Shuguang , Zhang Qiang
Published: November 2023

This study used a Weather Research and Forecasting (WRF)‐based Ensemble Kalman Filter (EnKF) system to assimilate reflectivity (Z) and radial velocity (Vr) data in precipitating and clear‐air regions from the Beijing Daxing International Airport C‐band phased‐array radar (C‐PAR) to improve the forecasts of a convective initiation (CI) case occurred on 18 June 2020. The results showed that high‐frequency assimilating the C‐PAR Vr in clear‐air region is conducive to increase the forecast lead time of CI by significantly improving the initial dynamic and thermodynamic fields, which creates a more accurate pre‐CI environment. After assimilating the C‐PAR clear‐air Vr, the CI case can be accurately predicted with a 20 min forecast lead time in the best‐case scenario. This is the first real‐case study to demonstrate the benefits of assimilating high spatiotemporal resolution PAR clear‐air radial velocity data for the CI process.
RNA helicase DDX5 modulates sorafenib sensitivity in hepatocellular carcinoma via the Wnt/β-catenin–ferroptosis axis
Authors: Li Zhili , Caron de Fromentel Claude , Kim Woojun , Wang Wen-Hung , Sun Jiazeng , Yan Bingyu , Utturkar Sagar , Lanman Nadia Atallah , Elzey Bennett D. , Yeo Yoon , Zhang Hao , Kazemian Majid , Levrero Massimo , Andrisani Ourania
Published: November 2023

Reduced expression of the RNA helicase DDX5 associated with increased hepatocellular carcinoma (HCC) tumor grade and poor patient survival following treatment with sorafenib. While immunotherapy is the first-line treatment for HCC, sorafenib and other multi-tyrosine kinase inhibitors (mTKIs) are widely used when immunotherapy is contra-indicated or fails. Herein, we elucidate the role of DDX5 in sensitizing HCC to sorafenib, offering new therapeutic strategies. Treatment of various human HCC cell lines with sorafenib/mTKIs downregulated DDX5 in vitro and in preclinical HCC models. Conversely, DDX5 overexpression reduced the viability of sorafenib-treated cells via ferroptosis, suggesting a role for DDX5 in sorafenib sensitivity. RNAseq of wild-type vs. DDX5-knockdown cells treated with or without sorafenib identified a set of common genes repressed by DDX5 and upregulated by sorafenib. This set significantly overlaps with Wnt signaling genes, including Disheveled-1 (DVL1), an indispensable Wnt activator and prognostic indicator of poor survival for sorafenib-treated patients. DDX5-knockout (DDX5KO) HCC cells exhibited DVL1 induction, Wnt/β-catenin pathway activation, and ferroptosis upon inhibition of canonical Wnt signaling. Consistently, xenograft HCC tumors exhibited reduced growth by inhibition of Wnt/β-catenin signaling via induction of ferroptosis. Significantly, overexpression of DDX5 in HCC xenografts repressed DVL1 expression and increased ferroptosis, resulting in reduced tumor growth by sorafenib. We conclude that DDX5 downregulation by sorafenib mediates adaptive resistance by activating Wnt/β-catenin signaling, leading to ferroptosis escape. Conversely, overexpression of DDX5 in vivo enhances the anti-tumor efficacy of sorafenib by suppressing Wnt/β-catenin activation and induction of ferroptosis. Thus, DDX5 overexpression in combination with mTKIs is a promising therapeutic strategy for HCC.
Marine toxin domoic acid alters nitrogen cycling in sediments
Authors: Li Zelong , Wang Jing , Yue Hao , Du Miaomiao , Jin Yuan , Fan Jingfeng
Published: November 2023

As a red tide algal toxin with intense neurotoxicity distributed worldwide, domoic acid (DA) has attracted increasing concerns. In this work, the integrative analysis of metagenome and metabolome are applied to investigate the impact of DA on nitrogen cycling in coastal sediments. Here we show that DA can act as a stressor to induce the variation of nitrogen (N) cycling by altering the abundance of functional genes and electron supply. Moreover, microecology theory revealed that DA can increase the role of deterministic assembly in microbial dynamic succession, resulting in the shift of niches and, ultimately, the alteration in N cycling. Notably, denitrification and Anammox, the important process for sediment N removal, are markedly limited by DA. Also, variation of N cycling implies the modification in cycles of other associated elements. Overall, DA is capable of ecosystem-level effects, which require further evaluation of its potential cascading effects.
Solving complex nanostructures with ptychographic atomic electron tomography
Authors: Pelz Philipp M. , Griffin Sinéad M. , Stonemeyer Scott , Popple Derek , DeVyldere Hannah , Ercius Peter , Zettl Alex , Scott Mary C. , Ophus Colin
Published: November 2023

Transmission electron microscopy (TEM) is essential for determining atomic scale structures in structural biology and materials science. In structural biology, three-dimensional structures of proteins are routinely determined from thousands of identical particles using phase-contrast TEM. In materials science, three-dimensional atomic structures of complex nanomaterials have been determined using atomic electron tomography (AET). However, neither of these methods can determine the three-dimensional atomic structure of heterogeneous nanomaterials containing light elements. Here, we perform ptychographic electron tomography from 34.5 million diffraction patterns to reconstruct an atomic resolution tilt series of a double wall-carbon nanotube (DW-CNT) encapsulating a complex ZrTe sandwich structure. Class averaging the resulting tilt series images and subpixel localization of the atomic peaks reveals a Zr11Te50 structure containing a previously unobserved ZrTe2 phase in the core. The experimental realization of atomic resolution ptychographic electron tomography will allow for the structural determination of a wide range of beam-sensitive nanomaterials containing light elements.
Feasible supply of steel and cement within a carbon budget is likely to fall short of expected global demand
Authors: Watari Takuma , Cabrera Serrenho André , Gast Lukas , Cullen Jonathan , Allwood Julian
Published: November 2023

The current decarbonization strategy for the steel and cement industries is inherently dependent on the build-out of infrastructure, including for CO2 transport and storage, renewable electricity, and green hydrogen. However, the deployment of this infrastructure entails considerable uncertainty. Here we explore the global feasible supply of steel and cement within Paris-compliant carbon budgets, explicitly considering uncertainties in the deployment of infrastructure. Our scenario analysis reveals that despite substantial growth in recycling- and hydrogen-based production, the feasible steel supply will only meet 58–65% (interquartile range) of the expected baseline demand in 2050. Cement supply is even more uncertain due to limited mitigation options, meeting only 22–56% (interquartile range) of the expected baseline demand in 2050. These findings pose a two-fold challenge for decarbonizing the steel and cement industries: on the one hand, governments need to expand essential infrastructure rapidly; on the other hand, industries need to prepare for the risk of deployment failures, rather than solely waiting for large-scale infrastructure to emerge. Our feasible supply scenarios provide compelling evidence of the urgency of demand-side actions and establish benchmarks for the required level of resource efficiency.
CurveCurator: a recalibrated F-statistic to assess, classify, and explore significance of dose–response curves
Authors: Bayer Florian P. , Gander Manuel , Kuster Bernhard , The Matthew
Published: November 2023

Dose-response curves are key metrics in pharmacology and biology to assess phenotypic or molecular actions of bioactive compounds in a quantitative fashion. Yet, it is often unclear whether or not a measured response significantly differs from a curve without regulation, particularly in high-throughput applications or unstable assays. Treating potency and effect size estimates from random and true curves with the same level of confidence can lead to incorrect hypotheses and issues in training machine learning models. Here, we present CurveCurator, an open-source software that provides reliable dose-response characteristics by computing p-values and false discovery rates based on a recalibrated F-statistic and a target-decoy procedure that considers dataset-specific effect size distributions. The application of CurveCurator to three large-scale datasets enables a systematic drug mode of action analysis and demonstrates its scalable utility across several application areas, facilitated by a performant, interactive dashboard for fast data exploration.
Nickel/photoredox dual catalyzed arylalkylation of nonactivated alkenes
Authors: Gao Yuxi , Gao Lijuan , Zhu Endiao , Yang Yunhong , Jie Mi , Zhang Jiaqian , Pan Zhiqiang , Xia Chengfeng
Published: November 2023

Alkene dicarbofunctionalization is an efficient strategy and operation-economic fashion for introducing complexity in molecules. A nickel/photoredox dual catalyzed arylalkylation of nonactivated alkenes for the simultaneous construction of one C(sp3)−C(sp3) bond and one C(sp3)−C(sp2) bond has been developed. The mild catalytic method provided valuable indanethylamine derivatives with wide substrate scope and good functional group compatibility. An enantioselective dicarbofunctionalization was also achieved with pyridine-oxazoline as a ligand. The efficiency of metallaphotoredox dicarbofunctionalization was demonstrated for the concise synthesis of pharmaceutically active compounds.
Demographics and risk of isolation due to sea level rise in the United States
Authors: Best Kelsea , He Qian , Reilly Allison C. , Niemeier Deb A. , Anderson Mitchell , Logan Tom
Published: November 2023

Within coastal communities, sea level rise (SLR) will result in widespread intermittent flooding and long-term inundation. Inundation effects will be evident, but isolation that arises from the loss of accessibility to critical services due to inundation of transportation networks may be less obvious. We examine who is most at risk of isolation due to SLR, which can inform community adaptation plans and help ensure that existing social vulnerabilities are not exacerbated. Combining socio-demographic data with an isolation metric, we identify social and economic disparities in risk of isolation under different SLR scenarios (1-10 ft) for the coastal U.S. We show that Black and Hispanic populations face a disproportionate risk of isolation at intermediate levels of SLR (4 ft and greater). Further, census tracts with higher rates of renters and older adults consistently face higher risk of isolation. These insights point to significant inequity in the burdens associated with SLR.
Estrogen receptor-positive breast cancer and adverse outcome in BRCA2 mutation carriers and young non-carrier patients
Authors: Vidarsdottir Linda , Olafsdottir Elinborg J. , Barkardottir Rosa B. , Bjarnadottir Olöf , Jonasson Jon G. , Sigurdsson Stefan , Tryggvadottir Laufey
Published: November 2023

Estrogen receptor-positive (ER+) breast cancer generally confers a more favorable prognosis than ER-negative cancer, however, a different picture is emerging for BRCA2 mutation carriers and young patients. We used nationwide data from population-based registries to study prognostic effects in those two groups. Of all 2817 eligible women diagnosed with breast cancer in Iceland during 1980–2004, 85% had been tested for the Icelandic 999del5 BRCA2 (c.771_775delTCAAA) founder pathogenic variant. We compared breast cancer-specific survival, effects of ER status, other clinical parameters, and treatment, between three mutually exclusive groups: BRCA2-carriers, non-carriers diagnosed 40 years or younger, and older non-carriers. Prevalence of the BRCA2 mutation among tested patients <=40 years of age was 21.0%, but it was 5.4% among women diagnosed >40 years of age. For ER+ cancer, breast cancer-specific 15-year survival was 49.7%, 55.2%, and 74.7%, among BRCA2-carriers, young and older non-carriers, respectively, whereas for ER-negative cancer, survival was similar (64.0–69.3%) for all three groups. Neither BRCA2 carriers nor young non-carriers did tumor grade 3 predict worse survival than did tumor grade 1. The adverse outcome for the young cases cannot be explained by BRCA2 mutations, as carriers were excluded from the group. Those two clinically important patient groups need special attention with respect to treatment choices, in particular, if diagnosed with ER+ tumors. It is thus advisable to have knowledge of BRCA2 status when treatment decisions are made. Finally, it is important to understand the biological basis for the specific nature of ER+ tumors in young women and BRCA2 carriers.
ERα/PR crosstalk is altered in the context of the ERα Y537S mutation and contributes to endocrine therapy-resistant tumor proliferation
Authors: Huggins Rosemary J. , Greene Geoffrey L.
Published: November 2023

The constitutively active ESR1 Y537S mutation is associated with endocrine therapy (ET) resistance and progression of metastatic breast cancer through its effects on estrogen receptor (ERα) gene regulatory functions. However, the complex relationship between ERα and the progesterone receptor (PR), known as ERα/PR crosstalk, has yet to be characterized in the context of the ERα Y537S mutation. Using proximity ligation assays, we identify an increased physical interaction of ERα and PR in the context of the ERα Y537S mutation, including in the nucleus where this interaction may translate to altered gene expression. As such, more than 30 genes were differentially expressed in both patient tumor and cell line data (MCF7 and/or T47D cells) in the context of the ERα Y537S mutation compared to ERα WT. Of these, IRS1 stood out as a gene of interest, and ERα and PR occupancy at chromatin binding sites along IRS1 were uniquely altered in the context of ERα Y537S. Furthermore, siRNA knockdown of IRS1 or treatment with the IRS1 inhibitor NT-157 had a significant anti-proliferative effect in ERα Y537S cell lines, implicating IRS1 as a potential therapeutic target for restoring treatment sensitivity to patients with breast cancers harboring ERα Y537S mutations.
Pangenome analysis reveals genomic variations associated with domestication traits in broomcorn millet
Authors: Chen Jinfeng , Liu Yang , Liu Minxuan , Guo Wenlei , Wang Yongqiang , He Qiang , Chen Weiyao , Liao Yi , Zhang Wei , Gao Yuanzhu , Dong Kongjun , Ren Ruiyu , Yang Tianyu , Zhang Liyuan , Qi Mingyu , Li Zhiguang , Zhao Min , Wang Haigang , Wang Junjie , Qiao Zhijun , Li Haiquan , Jiang Yanmiao , Liu Guoqing , Song Xiaoqiang , Deng Yarui , Li Hai , Yan Feng , Dong Yang , Li Qingquan , Li Tao , Yang Wenyao , Cui Jianghui , Wang Hongru , Zhou Yongfeng , Zhang Xiaoming , Jia Guanqing , Lu Ping , Zhi Hui , Tang Sha , Diao Xianmin
Published: November 2023

Broomcorn millet (Panicum miliaceum L.) is an orphan crop with the potential to improve cereal production and quality, and ensure food security. Here we present the genetic variations, population structure and diversity of a diverse worldwide collection of 516 broomcorn millet genomes. Population analysis indicated that the domesticated broomcorn millet originated from its wild progenitor in China. We then constructed a graph-based pangenome of broomcorn millet based on long-read de novo genome assemblies of 32 representative accessions. Our analysis revealed that the structural variations were highly associated with transposable elements, which influenced gene expression when located in the coding or regulatory regions. We also identified 139 loci associated with 31 key domestication and agronomic traits, including candidate genes and superior haplotypes, such as LG1, for panicle architecture. Thus, the study’s findings provide foundational resources for developing genomics-assisted breeding programs in broomcorn millet.
Chromosome-level genome assembly of the flower thrips Frankliniella intonsa
Authors: Zhang Zhijun , Bao Jiandong , Chen Qizhang , He Jianyun , Li Xiaowei , Zhang Jiahui , Liu Zhixing , Wu Yixuan , Li Xuesheng , Wang Yunsheng , Lu Yaobin
Published: November 2023

As an economically important insect pest, the flower thrips Frankliniella intonsa (Trybom) causes great damage to host plants by directly feeding and indirectly transmitting various pathogenic viruses. The lack of a well-assembled genomic resource has hindered our understanding of the genetic basis and evolution of F. intonsa. In this study, we used Oxford Nanopore Technology (ONT) long reads and High-through chromosome conformation capture (Hi-C) linked reads to construct a high-quality reference genome assembly of F. intonsa, with a total size of 225.5 Mb and a contig N50 of 3.37 Mb. By performing the Hi-C analysis, we anchored 91.68% of the contigs into 15 pseudochromosomes. Genomic annotation uncovered 17,581 protein-coding genes and identified 20.09% of the sequences as repeat elements. BUSCO analysis estimated over 98% of genome completeness. Our study is at the first time to report the chromosome-scale genome for the species of the genus Frankliniella. It provides a valuable genomic resource for further biological research and pest management of the thrips.
The time and place of origin of South Caucasian languages: insights into past human societies, ecosystems and human population genetics
Authors: Gavashelishvili Alexander , Chukhua Merab , Sakhltkhutsishvili Kakhi , Koptekin Dilek , Somel Mehmet
Published: November 2023

This study re-examines the linguistic phylogeny of the South Caucasian linguistic family (aka the Kartvelian linguistic family) and attempts to identify its Urheimat. We apply Bayesian phylogenetics to infer a dated phylogeny of the South Caucasian languages. We infer the Urheimat and the reasons for the split of the Kartvelian languages by taking into consideration (1) the past distribution ranges of wildlife elements whose names can be traced back to proto-Kartvelian roots, (2) the distribution ranges of past cultures and (3) the genetic variations of past and extant human populations. Our best-fit Bayesian phylogenetic model is in agreement with the widely accepted topology suggested by previous studies. However, in contrast to these studies, our model suggests earlier mean split dates, according to which the divergence between Svan and Karto-Zan occurred in the early Copper Age, while Georgian and Zan diverged in the early Iron Age. The split of Zan into Megrelian and Laz is widely attributed to the spread of Georgian and/or Georgian speakers in the seventh-eighth centuries CE. Our analyses place the Kartvelian Urheimat in an area that largely intersects the Colchis glacial refugium in the South Caucasus. The divergence of Kartvelian languages is strongly associated with differences in the rate of technological expansions in relation to landscape heterogeneity, as well as the emergence of state-run communities. Neolithic societies could not colonize dense forests, whereas Copper Age societies made limited progress in this regard, but not to the same degree of success achieved by Bronze and Iron Age societies. The paper also discusses the importance of glacial refugia in laying the foundation for linguistic families and where Indo-European languages might have originated.
Characterization and nutritional valorization of agricultural waste corncobs from Italian maize landraces through the growth of medicinal mushrooms
Authors: Castorina G. , Cappa C. , Negrini N. , Criscuoli F. , Casiraghi M. C. , Marti A. , Rollini M. , Consonni G. , Erba D.
Published: November 2023

The research investigates the potential use of maize cobs (or corncobs) from five genotypes, including the B73 inbred line and four locally cultivated landraces from Northern Italy, as substrate for implementing Solid State fermentation processes with four Medicinal Mushrooms (MMs). The corncobs were characterized based on their proximate composition, lignin, phenolics content (both free and bound), and total antioxidant capacity. Among the MMs tested, Pleurotus ostreatus and Ganoderma annularis demonstrated the most robust performance. Their growth was parametrized using Image Analysis technique, and chemical composition of culture samples was characterized compared to that of corncobs alone. In all culture samples, the growth of MMs led to a significant reduction (averaging 40%) in the total phenolics contents compared to that measured in corncobs alone. However, the high content of free phenolics in the cobs negatively impacted the growth of P. ostreatus. The final MM-corncob matrix exhibited reduced levels of free sugars and starch (≤ 2.2% DW, as a sum) and increased levels of proteins (up to 5.9% DW) and soluble dietary fiber (up to 5.0% DW), with a notable trend toward higher levels of β-glucan compared to corncobs alone. This research paves the way for the use of this matrix as an active ingredient to enhance the nutritional value of food preparations.
Assessment of the utility of underwater hyperspectral imaging for surveying and monitoring coral reef ecosystems
Authors: Mills Matthew S. , Ungermann Mischa , Rigot Guy , den Haan Joost , Leon Javier X. , Schils Tom
Published: November 2023

Technological innovations that improve the speed, scale, reproducibility, and accuracy of monitoring surveys will allow for a better understanding of the global decline in tropical reef health. The DiveRay, a diver-operated hyperspectral imager, and a complementary machine learning pipeline to automate the analysis of hyperspectral imagery were developed for this purpose. To evaluate the use of a hyperspectral imager underwater, the automated classification of benthic taxa in reef communities was tested. Eight reefs in Guam were surveyed and two approaches for benthic classification were employed: high taxonomic resolution categories and broad benthic categories. The results from the DiveRay surveys were validated against data from concurrently conducted photoquadrat surveys to determine their accuracy and utility as a proxy for reef surveys. The high taxonomic resolution classifications did not reliably predict benthic communities when compared to those obtained by standard photoquadrat analysis. At the level of broad benthic categories, however, the hyperspectral results were comparable to those of the photoquadrat analysis. This was particularly true when estimating scleractinian coral cover, which was accurately predicted for six out of the eight sites. The annotation libraries generated for this study were insufficient to train the model to fully account for the high biodiversity on Guam’s reefs. As such, prediction accuracy is expected to improve with additional surveying and image annotation. This study is the first to directly compare the results from underwater hyperspectral scanning with those from traditional photoquadrat survey techniques across multiple sites with two levels of identification resolution and different degrees of certainty. Our findings show that dependent on a well-annotated library, underwater hyperspectral imaging can be used to quickly, repeatedly, and accurately monitor and map dynamic benthic communities on tropical reefs using broad benthic categories.
Integration of motion information in illusory motion perceived in stationary patterns
Authors: Kobayashi Taisuke , Watanabe Eiji
Published: November 2023

Illusory motion is a phenomenon in which stationary images with repeating luminance gradient patterns appear to be moving. In this study, we conducted experiments focusing on illusory motion to verify the hypothetical rule that velocity information, extracted from local luminance patterns, is integrated by summation in visual information processing. This rule is based on the hypothesis of velocity integration, and could estimate perceived velocity of stimulus. The summation rule was evaluated by a psychophysical experiment. Our results showed that the summation rule unbiasedly predicted perceived velocity, suggesting that an algorithm for integrating velocity information in illusory motion is based on the summation rule. These results would contribute to understanding of the spatial integration of local motion signals in visual information processing.
UV filters and high refractive index materials based on carboxymethyl cellulose sodium and CuO@ZnO core/shell nanoparticles
Authors: Badry Rania , El-Nahass Mahmoud M. , Nada Nadra , Elhaes Hanan , Ibrahim Medhat A.
Published: November 2023

Nanoparticles have substantially contributed to the field of skincare products with ultraviolet (UV) filters to preserve human skin from sun damage. Thus, the current study aims to develop new polymer nanocomposites for the efficient block of UV light that results from the stratospheric ozone layer loss. Co-precipitation method was used to successfully synthesis CuO@ZnO core/shell NPs with a well-crystalline monoclinic CuO core and wurzite ZnO shell. Using the casting method, core/shell NPs were successfully introduced to carboxymethyl cellulose sodium (CMC). The CMC nanocomposites displayed considerably broader optical response extending from near-ultraviolet to visible light, which was likely due to heterojunction between the p-CuO core and n-ZnO shell and defects originating from the synthetic process. The transmittance of pure CMC in the UV, visible, and near IR regions is significantly reduced with the addition of 2 and 4 wt% of CuO@ZnO core/shell NPs to CMC. 99% of UV light is absorbed when 4 wt% of CuO@ZnO core/shell NPs are added. The addition of different concentrations of CMC nanocomposite to one of the sunblock in Egyptian market were studied and showing the highest Sun Protection Factor of 22. Moreover, optical dispersion parameters and refractive index were improved strongly with core/shell NPs addition.