bluuebunny/crossref_metadata_2025_split huggingface dataset:
The microstratigraphy and depositional environments of Lida Ajer and Ngalau Gupin, two fossil-bearing tropical limestone caves of west Sumatra
Authors: Anderson Holly E. , Morley Mike W. , McAdams Conor , Zaim Jahdi , Rizal Yan , Aswan  , Puspaningrum Mika R. , Hascaryo Agus T. , Price Gilbert J. , Louys Julien 
Published: January 2024

AbstractLida Ajer and Ngalau Gupin are karstic caves situated in the Padang Highlands, western Sumatra, Indonesia. Lida Ajer is best known for yielding fossil evidence that places the arrival of Homo sapiens in Southeast Asia during Marine Isotope Stage 4, one of the earliest records for the region. Ngalau Gupin recently produced the first record of hippopotamid Hexaprotodon on the island, representing the only globally extinct taxon in Pleistocene deposits from Sumatra. Microstratigraphic (micromorphological) analyses were applied to unconsolidated fossil-bearing cave sediments from these two sites. We use micromorphology as part of a micro-contextualised taphonomic approach to identify the diagenetic processes affecting fossils and sediments within these caves, through phases of their depositional history. The fossil-bearing sediments in Lida Ajer have been subjected to a suite of natural sedimentation processes ranging from water action to carnivore occupation, which would indicate the fossils underwent significant reworking prior to lithification of the deposit. The results demonstrate that the base of the unconsolidated fossil-bearing sediments in Ngalau Gupin were derived from the interior of the cave, where the matrix was partially phosphatized as a result of guano-driven diagenesis. These observations can be used to test hypotheses about the integrity of incorporated vertebrate remains and to aid in local palaeoenvironmental reconstructions. The methods employed in this research have not previously been applied to cave sediments from sites in the Padang Highlands and provide key new insights into the palaeontological and natural history of the western region of Sumatra.
Whole genome sequencing and annotation of Aspergillus flavus JAM-JKB-B HA-GG20
Authors: Bharose Achyut Ashokrao , Hajare Sunil Tulshiram , Narayanrao Dhawale Ramesh , Gajera H. G. , Prajapati Hrushna Kany , Singh Suresh Chandra , Upadhye Vijay 
Published: January 2024

AbstractGroundnuts are mostly contaminated with the mold Aspergillus flavus which produces a carcinogenic mycotoxin called as aflatoxin. It is very important to understand the genetic factors underlying its pathogenicity, regulation, and biosynthesis of secondary metabolites and animal toxicities, but it still lacks useful information due to certain gaps in the era of modern technology. Therefore, the present study was considered to determine the key genes and metabolites involved in the biosynthesis of aflatoxin by using a molecular approach in a virulent strain of Aspergillus. The whole genome sequence of highly toxic and virulent Aspergillus isolates JAM-JKB-B HA-GG20 revealed 3,73,54,834 bp genome size, 2, 26, 257 number of contigs with N50 value of 49,272 bp, 12,400 genes and 48.1% of GC contained respectively. The genome sequence was compared with other known aflatoxin producing and non-producing genome of Aspergillus spp. and 61 secondary metabolite (SM) gene clusters were annotated with the toxic strain JAM-JKB-BHA-GG20 which showed similarity with other Aspergillus spp. A total number of eight genes (ver-1, AflR, pksA, uvm8, omt1, nor-1, Vha and aflP) were identified related to biosynthesis of aflatoxin and ochratoxin. Also, 69 SSR with forward and reverse primers and 137 di and tri nucleotide motifs were identified in the nucleotide sequence region related to aflatoxin gene pathway. The genes and putative metabolites identified in this study are potentially involved in host invasion and pathogenicity. As such, the genomic information obtained in this study is helpful in understanding aflatoxin gene producing pathway in comparison to other Aspergillus spp. and predicted presence of other secondary metabolites clusters viz. Nrps, T1pks etc. genes associated with a biosynthesis of OTA mycotoxin.
UNet based on dynamic convolution decomposition and triplet attention
Authors: Li Yang , Yan Bobo , Hou Jianxin , Bai Bingyang , Huang Xiaoyu , Xu Canfei , Fang Limei 
Published: January 2024

AbstractThe robustness and generalization of medical image segmentation models are being challenged by the differences between different disease types, different image types, and different cases.Deep learning based semantic segmentation methods have been providing state-of-the-art performance in the last few years. One deep learning technique, U-Net, has become the most popular architecture in the medical imaging segmentation. Despite outstanding overall performance in segmenting medical images, it still has the problems of limited feature expression ability and inaccurate segmentation. To this end, we propose a DTA-UNet based on Dynamic Convolution Decomposition (DCD) and Triple Attention (TA). Firstly, the model with Attention U-Net as the baseline network uses DCD to replace all the conventional convolution in the encoding-decoding process to enhance its feature extraction capability. Secondly, we combine TA with Attention Gate (AG) to be used for skip connection in order to highlight lesion regions by removing redundant information in both spatial and channel dimensions. The proposed model are tested on the two public datasets and actual clinical dataset such as the public COVID-SemiSeg dataset, the ISIC 2018 dataset, and the cooperative hospital stroke segmentation dataset. Ablation experiments on the clinical stroke segmentation dataset show the effectiveness of DCD and TA with only a 0.7628 M increase in the number of parameters compared to the baseline model. The proposed DTA-UNet is further evaluated on the three datasets of different types of images to verify its universality. Extensive experimental results show superior performance on different segmentation metrics compared to eight state-of-art methods.The GitHub URL of our code ishttps://github.com/shuaihou1234/DTA-UNet.
Human Purkinje cells outperform mouse Purkinje cells in dendritic complexity and computational capacity
Authors: Masoli Stefano , Sanchez-Ponce Diana , Vrieler Nora , Abu-Haya Karin , Lerner Vitaly , Shahar Tal , Nedelescu Hermina , Rizza Martina Francesca , Benavides-Piccione Ruth , DeFelipe Javier , Yarom Yosef , Munoz Alberto , D’Angelo Egidio 
Published: January 2024

AbstractPurkinje cells in the cerebellum are among the largest neurons in the brain and have been extensively investigated in rodents. However, their morphological and physiological properties remain poorly understood in humans. In this study, we utilized high-resolution morphological reconstructions and unique electrophysiological recordings of human Purkinje cells ex vivo to generate computational models and estimate computational capacity. An inter-species comparison showed that human Purkinje cell had similar fractal structures but were larger than those of mouse Purkinje cells. Consequently, given a similar spine density (2/μm), human Purkinje cell hosted approximately 7.5 times more dendritic spines than those of mice. Moreover, human Purkinje cells had a higher dendritic complexity than mouse Purkinje cells and usually emitted 2–3 main dendritic trunks instead of one. Intrinsic electro-responsiveness was similar between the two species, but model simulations revealed that the dendrites could process ~6.5 times (n = 51 vs. n = 8) more input patterns in human Purkinje cells than in mouse Purkinje cells. Thus, while human Purkinje cells maintained spike discharge properties similar to those of rodents during evolution, they developed more complex dendrites, enhancing computational capacity.
Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases
Authors: Fittipaldi Sol , Legaz Agustina , Maito Marcelo , Hernandez Hernan , Altschuler Florencia , Canziani Veronica , Moguilner Sebastian , Gillan Claire M. , Castillo Josefina , Lillo Patricia , Custodio Nilton , Avila-Funes José Alberto , Cardona Juan Felipe , Slachevsky Andrea , Henriquez Fernando , Fraile-Vazquez Matias , Cruz de Souza Leonardo , Borroni Barbara , Hornberger Michael , Lopera Francisco , Santamaria-Garcia Hernando , Matallana Diana , Reyes Pablo , Gonzalez-Campo Cecilia , Bertoux Maxime , Ibanez Agustin 
Published: January 2024

AbstractAging diminishes social cognition, and changes in this capacity can indicate brain diseases. However, the relative contribution of age, diagnosis and brain reserve to social cognition, especially among older adults and in global settings, remains unclear when considering other factors. Here, using a computational approach, we combined predictors of social cognition from a diverse sample of 1,063 older adults across nine countries. Emotion recognition, mentalizing and overall social cognition were predicted via support vector regressions from various factors, including diagnosis (subjective cognitive complaints, mild cognitive impairment, Alzheimer’s disease and behavioral variant frontotemporal dementia), demographics, cognition/executive function, brain reserve and motion artifacts from functional magnetic resonance imaging recordings. Higher cognitive/executive functions and education ranked among the top predictors, outweighing age, diagnosis and brain reserve. Network connectivity did not show predictive values. The results challenge traditional interpretations of age-related decline, patient–control differences and brain associations of social cognition, emphasizing the importance of heterogeneous factors.
Structural insights into respiratory complex I deficiency and assembly from the mitochondrial disease-related ndufs4−/− mouse
Authors: Yin Zhan , Agip Ahmed-Noor A , Bridges Hannah R , Hirst Judy 
Published: January 2024

AbstractRespiratory complex I (NADH:ubiquinone oxidoreductase) is essential for cellular energy production and NAD+ homeostasis. Complex I mutations cause neuromuscular, mitochondrial diseases, such as Leigh Syndrome, but their molecular-level consequences remain poorly understood. Here, we use a popular complex I-linked mitochondrial disease model, the ndufs4−/− mouse, to define the structural, biochemical, and functional consequences of the absence of subunit NDUFS4. Cryo-EM analyses of the complex I from ndufs4−/− mouse hearts revealed a loose association of the NADH-dehydrogenase module, and discrete classes containing either assembly factor NDUFAF2 or subunit NDUFS6. Subunit NDUFA12, which replaces its paralogue NDUFAF2 in mature complex I, is absent from all classes, compounding the deletion of NDUFS4 and preventing maturation of an NDUFS4-free enzyme. We propose that NDUFAF2 recruits the NADH-dehydrogenase module during assembly of the complex. Taken together, the findings provide new molecular-level understanding of the ndufs4−/− mouse model and complex I-linked mitochondrial disease.
Versican accumulation drives Nos2 induction and aortic disease in Marfan syndrome via Akt activation
Authors: Ruiz-Rodríguez María Jesús , Oller Jorge , Martínez-Martínez Sara , Alarcón-Ruiz Iván , Toral Marta , Sun Yilin , Colmenar Ángel , Méndez-Olivares María José , López-Maderuelo Dolores , Kern Christine B , Nistal J Francisco , Evangelista Arturo , Teixido-Tura Gisela , Campanero Miguel R , Redondo Juan Miguel 
Published: January 2024

AbstractThoracic aortic aneurysm and dissection (TAAD) is a life-threatening condition associated with Marfan syndrome (MFS), a disease caused by fibrillin-1 gene mutations. While various conditions causing TAAD exhibit aortic accumulation of the proteoglycans versican (Vcan) and aggrecan (Acan), it is unclear whether these ECM proteins are involved in aortic disease. Here, we find that Vcan, but not Acan, accumulated in Fbn1C1041G/+ aortas, a mouse model of MFS. Vcan haploinsufficiency protected MFS mice against aortic dilation, and its silencing reverted aortic disease by reducing Nos2 protein expression. Our results suggest that Acan is not an essential contributor to MFS aortopathy. We further demonstrate that Vcan triggers Akt activation and that pharmacological Akt pathway inhibition rapidly regresses aortic dilation and Nos2 expression in MFS mice. Analysis of aortic tissue from MFS human patients revealed accumulation of VCAN and elevated pAKT-S473 staining. Together, these findings reveal that Vcan plays a causative role in MFS aortic disease in vivo by inducing Nos2 via Akt activation and identify Akt signaling pathway components as candidate therapeutic targets.
Methotrimeprazine is a neuroprotective antiviral in JEV infection via adaptive ER stress and autophagy
Authors: Prajapat Surendra K , Mishra Laxmi , Khera Sakshi , Owusu Shadrack D , Ahuja Kriti , Sharma Puja , Choudhary Eira , Chhabra Simran , Kumar Niraj , Singh Rajan , Kaushal Prem S , Mahajan Dinesh , Banerjee Arup , Motiani Rajender K , Vrati Sudhanshu , Kalia Manjula 
Published: January 2024

AbstractJapanese encephalitis virus (JEV) pathogenesis is driven by a combination of neuronal death and neuroinflammation. We tested 42 FDA-approved drugs that were shown to induce autophagy for antiviral effects. Four drugs were tested in the JE mouse model based on in vitro protective effects on neuronal cell death, inhibition of viral replication, and anti-inflammatory effects. The antipsychotic phenothiazines Methotrimeprazine (MTP) & Trifluoperazine showed a significant survival benefit with reduced virus titers in the brain, prevention of BBB breach, and inhibition of neuroinflammation. Both drugs were potent mTOR-independent autophagy flux inducers. MTP inhibited SERCA channel functioning, and induced an adaptive ER stress response in diverse cell types. Pharmacological rescue of ER stress blocked autophagy and antiviral effect. MTP did not alter translation of viral RNA, but exerted autophagy-dependent antiviral effect by inhibiting JEV replication complexes. Drug-induced autophagy resulted in reduced NLRP3 protein levels, and attenuation of inflammatory cytokine/chemokine release from infected microglial cells. Our study suggests that MTP exerts a combined antiviral and anti-inflammatory effect in JEV infection, and has therapeutic potential for JE treatment.
One-pot hydrothermal synthesis of noble-metal-free NiS on Zn0.5Cd0.5S nanosheet photocatalysts for high H2 evolution from water under visible light
Authors: Yang Linfen , Peng Yong , Wang Yuhua 
Published: January 2024

A series of Zn0.5Cd0.5S/NiS (x mol%) composite photocatalysts have been synthesized. By optimizing the amount of NiS, the optimal ZCS/NS-5 composite photocatalysts achieved a superior photocatalytic H2 evolution rate of 10 855.4 ± 461 μmol g−1 h−1 under visible light.
Effects of Vaccinium berries (blueberries, cranberries and bilberries) on oxidative stress, inflammation, exercise performance, and recovery – a systematic review
Authors: Prieto Martínez Arnold , Coutiño Diaz Michelle , Anaya Romero Lizette , Ali Redha Ali , Zare Reza , Ventura Hernandez Sthefano , Prokopidis Konstantinos , Clifford Tom 
Published: January 2024

Evaluation of current clinical evidence on the effect of (poly)phenol-rich Vaccinium berries for sports nutrition.
Optimized arrangement of non-π-conjugated PO3NH3 units leads to enhanced ultraviolet optical nonlinearity in NaPO3NH3
Authors: Wu Lingli , Tian Haotian , Lin Chensheng , Zhao Xin , Fan Huixin , Dong Pengxiang , Yang Shunda , Ye Ning , Luo Min 
Published: January 2024

Here, the polar covalent group (PO3NH3)− is identified as a novel deep-ultraviolet (DUV) NLO-active unit. Its ordered arrangement in NaPO3NH3 makes this compound exhibiting the largest birefringence among DUV non-π-conjugated phosphate systems.
Furazan bis-ureas: a heterocyclic scaffold for anion binding and transport
Authors: Ryder William G. , Wu Emilie G. , Chen Lijun , Fares Mohamed , McNaughton Daniel A. , Tran Karen , Yu Chengzhong , Gale Philip A. 
Published: January 2024

A five-membered central scaffold was used to develop a series of anion receptors. The library perturbed liposomal pH gradients through H+/Cl− transmembrane transport and elicited a variety of cytotoxicities against normal and cancerous cell lines.
Description of the Baseline Audiologic Characteristics of the Participants Enrolled in the Aging and Cognitive Health Evaluation in Elders Study
Authors: Sanchez Victoria A. , Arnold Michelle L. , Betz Joshua F. , Reed Nicholas S. , Faucette Sarah , Anderson Elizabeth , Burgard Sheila , Coresh Josef , Deal Jennifer A. , Eddins Ann Clock , Goman Adele M. , Glynn Nancy W. , Gravens-Mueller Lisa , Hampton Jaime , Hayden Kathleen M. , Huang Alison R. , Liou Kaila , Mitchell Christine M. , Mosley Thomas H. , Neil Haley N. , Pankow James S. , Pike James R. , Schrack Jennifer A. , Sherry Laura , Teece Katherine H. , Witherell Kerry , Lin Frank R. , Chisolm Theresa H. ,   for the ACHIEVE Collaborative Study
Published: January 2024

Purpose:
The Aging and Cognitive Health Evaluation in Elders (ACHIEVE) study is a randomized clinical trial designed to determine the effects of a best-practice hearing intervention versus a successful aging health education control intervention on cognitive decline among community-dwelling older adults with untreated mild-to-moderate hearing loss. We describe the baseline audiologic characteristics of the ACHIEVE participants.

Method:

Participants aged 70–84 years (
N
= 977;
M
age
= 76.8) were enrolled at four U.S. sites through two recruitment routes: (a) an ongoing longitudinal study and (b) de novo through the community. Participants underwent diagnostic evaluation including otoscopy, tympanometry, pure-tone and speech audiometry, speech-in-noise testing, and provided self-reported hearing abilities. Baseline characteristics are reported as frequencies (percentages) for categorical variables or medians (interquartiles, Q1–Q3) for continuous variables. Between-groups comparisons were conducted using chi-square tests for categorical variables or Kruskal–Wallis test for continuous variables. Spearman correlations assessed relationships between measured hearing function and self-reported hearing handicap.

Results:
The median four-frequency pure-tone average of the better ear was 39 dB HL, and the median speech-in-noise performance was a 6-dB SNR loss, indicating mild speech-in-noise difficulty. No clinically meaningful differences were found across sites. Significant differences in subjective measures were found for recruitment route. Expected correlations between hearing measurements and self-reported handicap were found.

Conclusions:
The extensive baseline audiologic characteristics reported here will inform future analyses examining associations between hearing loss and cognitive decline. The final ACHIEVE data set will be publicly available for use among the scientific community.

Supplemental Material:

https://doi.org/10.23641/asha.24756948
Random forest machine learning algorithm based seasonal multi‐step ahead short‐term solar photovoltaic power output forecasting
Authors: Jogunuri Sravankumar , F.T Josh , Stonier Albert Alexander , Peter Geno , Jayaraj Jayakumar , S Jaganathan , J Jency Joseph , Ganji Vivekananda 
Published: January 2024

AbstractTo maintain grid stability, the energy levels produced by sources within the network must be equal to the energy consumed by customers. In current times, achieving energy balance mainly involves regulating the electrical energy sources, as consumption is typically beyond the control of grid operators. For improving the stability of the grid, accurate forecasting of photovoltaic power output from largely integrated solar photovoltaic plant connected to grid is required. In the present study, to improve the forecasting accuracy of the forecasting models, onsite measurements of the weather parameters and the photovoltaic power output from the 20 kW on‐grid were collected for a typical year which covers all four seasons and evaluated the random forest techniques and other techniques like deep neural networks, artificial neural networks and support vector regression (reference in this study). The simulation results show that the proposed random forest technique for the forecasting horizon of 15 and 30 min is performing well with 49% and 50% improvements in the accuracy respectively over reference model for the study location 22.78°N, 73.65°E, College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, India.
Synthetic aperture radar image segmentation with quantum annealing
Authors: Presles Timothé , Enderli Cyrille , Burel Gilles , Baghious El Houssaïn 
Published: January 2024

AbstractIn image processing, image segmentation is the process of partitioning a digital image into multiple image segments. Among state‐of‐the‐art methods, Markov random fields can be used to model dependencies between pixels and achieve a segmentation by minimising an associated cost function. Currently, finding the optimal set of segments for a given image modelled as a Markov random fields appears to be NP‐hard. The authors aim to take advantage of the exponential scalability of quantum computing to speed up the segmentation of synthetic aperture radar images. For that purpose, the authors propose a hybrid quantum annealing classical optimisation expectation maximisation algorithm to obtain optimal sets of segments. After proposing suitable formulations, the authors discuss the performances and the scalability of authors’ approach on the D‐Wave quantum computer. The authors also propose a short study of optimal computation parameters to enlighten the limits and potential of the adiabatic quantum computation to solve large instances of combinatorial optimisation problems.
Per-oral cholangioscopy in patients with primary sclerosing cholangitis: a 12-month follow-up study
Authors: Mohamed Rachid , Tejaswi Sooraj , Aabakken Lars , Ponsioen Cyriel Y , Bowlus Christopher L , Adler Douglas G , Forbes Nauzer , Paulsen Vemund , Voermans Rogier P. , Urayama Shiro , Peetermans Joyce , Rousseau Matthew J , Eksteen Bertus 
Published: January 2024

Abstract
Background and study aims Patients with primary sclerosing cholangitis (PSC) have a 9% to 20% lifetime incidence of cholangiocarcinoma (CCA). Per-oral cholangioscopy (POCS) added to endoscopic retrograde cholangiography (ERC) could potentially improve detection of CCA occurrence. We prospectively assessed POCS identification of 12-month CCA incidence in PSC patients undergoing ERC.
Patients and methods Consecutive patients with PSC, an indication for ERC, and no prior liver transplantation were enrolled. During the index procedure, POCS preceded planned therapeutic maneuvers. The primary endpoint was ability for POCS visualization with POCS-guided biopsy to identify CCA during 12-month follow-up. Secondary endpoints included ability of ERC/cytology to identify CCA, repeat ERC, liver transplantation, and serious adverse events (SAEs).
Results Of 42 patients enrolled, 36 with successful cholangioscope advancement were analyzed. Patients had a mean age 43.5±15.6 years and 61% were male. Three patients diagnosed with CCA had POCS visualization impressions of benign/suspicious/suspicious, and respective POCS-guided biopsy findings of suspicious/positive/suspicious for malignancy at the index procedure. The three CCA cases had ERC visualization impressions of benign/benign/suspicious, and respective cytology findings of atypical/atypical/suspicious for malignancy. No additional patients were diagnosed with CCA during median 11.5-month follow-up. Twenty-three repeat ERCs (5 including POCS) were performed in 14 patients. Five patients had liver transplantation, one after CCA diagnosis and four after benign cytology at the index procedure. Three patients (7.1%) had post-ERC pancreatitis. No SAEs were POCS-related.
Conclusions In PSC patients, POCS visualization/biopsy and
ERC/cytology each identified three cases of CCA. Some patients had a repeat procedure and none
experienced POCS-related SAEs.