Miracle-dz/UniFAR-FTUs huggingface dataset:
The Blurry Third Millennium. “Neolithisation” in a Norwegian Context

Abstract In this article, we critically review recurrent tropes, implicit frameworks, and unexplained concepts in current research on the process of “Neolithisation” in the western part of southern Norway. Two models are on offer, as also seen elsewhere in the European research: either 1) the transition to agriculture is rapid and substantially carried by migrants, or 2) the Late Neolithic transition builds on a long history of local adaptation. After outlining these models, we scrutinise especially west Norwegian evidence, pointing out ambiguities and limitations in the material which mean that neither of the two models fit. In the final section, we consider which new questions could be asked to move beyond the current, somewhat polarised debate: Who are the actors of the transition, how are boundaries between groups created, and can the acknowledgement of the complexity of the process of ‘migration’ result in new narratives? Addressing these questions remains a fundamental challenge for archaeological migration studies as a whole.
ON THE RING OF INVARIANT POLYNOMIALS ON A SEMISIMPLE LIE ALGEBRA.1

1. We shall show in this note how a formula due to Harish-Chandra [1] may be used to obtain simple and elementary proofs of some results of Kost;ant [1] [2] concerning the algebra of invariant polynomials on a complex semisimple Lie algebra. Since we use Harish-Chandra's formula only in a very special case, we have included a simple proof of it in that special case, so as to make the present note self-contained.
Spatiotemporal Mapping of Cherry Blossom Blooming by Semi-Automatic Observation System with Street-Level Photos

The importance of floral phenology as a critical indicator of regional climate change and ecosystem services is widely recognized. The annual blooming of cherry blossoms is a nationally celebrated event in Japan, and historical phenological records have been used to document regional climate change. The cultural ecosystem services provided by this phenomenon are important as they not only signal the arrival of spring but also offer a picturesque spring landscape. Despite its importance, constructing a spatiotemporal record of cherry blossom blooming is challenging due to the limited coverage of traditional stationary observations. To address this issue, citizen-based observation programs and remote sensing applications have been implemented; nevertheless, these strategies are still limited by infrequent and insufficient observations throughout space and time. To compensate, we developed a flower detection model for geographically and temporally dispersed street-level photos that may be used as the core component of a semi-automatic observation system. Specifically, we developed a customized YOLOv4 model for cherry blossom detection from street-level photos obtained through Mapillary, one of the social sensing data repositories. The detection model achieved an overall accuracy, recall, and precision of 86.7%, 70.3%, and 90.1%, respectively. By using observation coordinates and dates attached to Mapillary photos, we mapped the probability of cherry trees blooming in a spatial grid of dimensions 10 m x 10 m on a daily basis. With sufficient observations, start, peak, and end of blooming were estimated through time series analysis. A case study conducted at Saitama University’s main campus in 2022 confirmed the possibility of mapping the presence of cherry blossoms and their blooming timing automatically. Since our approach relies solely on geotagged street-level photos that can be taken by anyone with no prior knowledge of cherry tree species identification, we anticipate that it will be easier to build blooming records over space and time than conventional stationary observations or citizen-based observation programs. This novel approach also has potential applications for detecting other species as well.
Visualization of trans homophilic interaction of clustered protocadherin in neurons

Clustered protocadherin (Pcdh) functions as a cell recognition molecule through the homophilic interaction in CNS. However, its interactions have yet not been visualized in neurons. We previously reported PcdhγB2-FRET probes to be applicable only for cell lines. Herein, we newly designed PcdhγB2-FRET probes by fusing FRET donor and acceptor fluorescent proteins to a single PcdhγB2 molecule and succeeded in visualizing PcdhγB2 homophilic interaction in cultured hippocampal neurons. The γB2-FRET probe localized in the soma and neurites, and FRET signals were observed at contact sites between neurites and eliminated by EGTA addition. Live imaging revealed that the FRET-negative γB2 signals were rapidly moving along neurites and soma, whereas the FRET-positive signals remained in place. We observed that the γB2 proteins at synapses rarely interact homophilically. The γB2-FRET probe would allow us to elucidate the function of the homophilic interaction and the cell recognition mechanism. Significance Statement We visualize the Pcdh homophilic interaction using a novel FRET-based probe, and reveal that the homophilically interacting Pcdh proteins are found at contact sites between the neurites and roots of neurites from the soma, and are stable at a location. Additionally, in neurons, Pcdh proteins are located at synapses but rarely interact homophilically.
ANP rescues the preeclamptic symptoms in Axl knockout mice by improving trophoblast function ANP rescues the preeclamptic symptoms

Pre-eclampsia (PE) is characterized by maternal hypertension and/or proteinuria after 20 weeks of gestation. Shallow trophoblast invasion into spiral artery (SpA) and defective decidualization have been implicated in the pathogenesis of PE. However, the underlying mechanisms remain unclear. AXL receptor tyrosine kinase is a biomarker and therapeutic target for a variety of metastatic cancers while tumorigenesis and placentation share many features. In this study, a new function of AXL in promoting SpA remodeling and trophoblast invasion were demonstrated. The pregnant Axl knockout (Axl−/−) mice exhibited typical PE symptoms, including increased blood pressure and proteinuria. Artificially induced decidualization experiments showed that appeared normal, however, RNA-seq results of Axl−/− deciduoma revealed abnormal expression of a number of transcripts, including Corin, which encodes a cardiac protease that activates atrial natriuretic peptide (ANP). Treatment with ANP reversed the PE symptoms. Moreover, in decidua from women afflicted with PE, AXL level was significantly lower than that in normal pregnancies. These data show that the abnormality of decidua-derived AXL-CORIN-ANP affects maternal-fetal crosstalk and contributes to PE.
Natural forgetting reversibly modulates engram expression

Memories are stored as ensembles of engram neurons and their successful recall involves the reactivation of these cellular networks. However, significant gaps remain in connecting these cell ensembles with the process of forgetting. Here, we utilized a mouse model of object memory and investigated the conditions in which a memory could be preserved, retrieved, or forgotten. Direct modulation of engram activity via optogenetic stimulation or inhibition either facilitated or prevented the recall of an object memory. In addition, through behavioral and pharmacological interventions, we successfully prevented or accelerated forgetting of an object memory. Finally, we showed that these results can be explained by a computational model in which engrams that are subjectively less relevant for adaptive behavior are more likely to be forgotten. Together, these findings suggest that forgetting may be an adaptive form of engram plasticity which allows engrams to switch from an accessible state to an inaccessible state.
Medioapical contractile pulses coordinated between cells regulate Drosophila eye morphogenesis

Lattice cells (LCs) in the developing Drosophila retina constantly move and change shape before attaining final forms. Previously we showed that repeated contraction and expansion of apical cell contacts affect these dynamics. Here we describe a second contributing factor, the assembly of a medioapical actomyosin ring composed of nodes linked by filaments that attract each other, fuse, and contract the LCs’ apical area. This medioapical actomyosin network is dependent on Rho1 and its known effectors. Apical cell area contraction alternates with relaxation, generating pulsatile changes in apical cell area. Strikingly, cycles of contraction and relaxation of cell area are reciprocally synchronized between adjacent LCs. Further, in a genetic screen, we identified RhoGEF2 as an activator of these Rho1 functions and RhoGAP71E/C-GAP as an inhibitor. Thus, Rho1 signaling regulates pulsatile medioapical actomyosin contraction exerting force on neighboring cells, coordinating cell behavior across the epithelium. This ultimately serves to control cell shape and maintain tissue integrity during epithelial morphogenesis of the retina. Short summary Rosa et. al. describe a Rho1-dependent pulsatile medioapical actomyosin network that couples neighboring retina lattice cells biomechanically, creating an adaptive supracellular actomyosin network that coordinates the mechanical behavior of neighboring cells and regulates cell shape and tissue integrity.
Determination of Electron Depth-Dose Curves for Water, ICRU Tissue, and PMMA and Their Application to Radiation Protection Dosimetry

For monoenergetic electrons in the energy range between 60 keV and 10 MeV, normally incident on water, 4-element ICRU tissue and PMMA phantoms, depth-dose curves have been calculated using the Monte Carlo method. The phantoms' shape was that of a rectangular solid with a square front face of 30 cm × 30 cm and a thickness of 15 cm; it cosresponds to that recommended by the ICRU for use in the procedure of calibrating radiation protection dosemeters. The depth-dose curves have been used to determine practical ranges, half-value depths, electron fluence to maximum absorbed dose conversion factors, and conversion factors between electron fluence and absorbed dose at depths d cosresponding to 0.007 g.cm −2 , 0.3 g.cm −2 , and 1.0 g.cm −2
Auxo: A Scalable and Efficient Graph Stream Summarization Structure

A graph stream refers to a continuous stream of edges, forming a huge and fast-evolving graph. The vast volume and high update speed of a graph stream bring stringent requirements for the data management structure, including sublinear space cost, computation-efficient operation support, and scalability of the structure. Existing designs summarize a graph stream by leveraging a hash-based compressed matrix and representing an edge using its fingerprint to achieve practical storage for a graph stream with a known upper bound of data volume. However, they fail to support the dynamically extending of graph streams. In this paper, we propose Auxo, a scalable structure to support space/time efficient summarization of dynamic graph streams. Auxo is built on a proposed novel prefix embedded tree (PET) which leverages binary logarithmic search and common binary prefixes embedding to provide an efficient and scalable tree structure. PET reduces the item insert/query time from O (| E |) to O ( log | E |) as well as reducing the total storage cost by a log | E | scale, where | E | is the size of the edge set in a graph stream. To further improve the memory utilization of PET during scaling, we propose a proportional PET structure that extends a higher level in a proportionally incremental style. We conduct comprehensive experiments on large-scale real-world datasets to evaluate the performance of this design. Results show that Auxo significantly reduces the insert and query time by one to two orders of magnitude compared to the state of the arts. Meanwhile, Auxo achieves efficiently and economically structure scaling with an average memory utilization of over 80%.
Effect of anti-parallel and twisted alignment techniques on various propertiesof polymer stabilised liquid crystal (PSLC) films

ABSTRACT Thin composite films consisting of liquid crystal (LC) domains surrounded by polymer networks, termed as polymer stabilised liquid crystals (PSLCs), were prepared by photo-polymerisation of a pre-polymer dissolved in LC. Four composite films were prepared with different rubbing directions and with and without electric field during photo-polymerisation. Morphological characterisation carried our using a polarising optical microscope (POM) and a scanning electron microscope (SEM) reveal significant changes in LC domain morphology and associated polymer networks with the application of electric field during the fabrication of the films. The electro-optic (EO) properties of PSLC films placed between two crossed polarisers were studied using a He–Ne laser under an action of externally applied electric field. It was found that the PSLC film with twisted alignment and polymerised in the presence of electric field showed better EO properties than other films. Transmittance obtained by EO studies was verified with absorbance studies using a Ultraviolet-Visible spectrophotometer. The dielectric behaviour of PSLC films in the frequency range 20–20 MHz was investigated using a precision impedance analyser. The obtained data were modelled using Debye and Cole–Cole methods to calculate relaxation time and distribution parameter. The relaxation time calculated through the Cole–Cole model is in agreement with response time. GRAPHICAL ABSTRACT
Evaluation of transformer-based models for punctuation and capitalization restoration in Catalan and Galician

: In recent years, the performance of Automatic Speech Recognition systems (ASR) has increased considerably due to new deep learning methods. However, the raw output of an ASR system consists of a sequence of words without capital letters and punctuation marks. Therefore, a capitalization and punctuation restoration system are one of the most important post-processes of ASR to improve readability and to enable the subsequent use of these results in other NLP models. Most models focus solely on English punctuation resolution, and recently new models of Spanish punctuation restoration have emerged. However, none focus on capitalization and punctuation restoration in Galician and Catalan. In this sense, we propose a system for capitalization and punctuation restoration based on Transformers models for Catalan and Galician. Both models perform very well, with an overall performance of 90.2% for Galician and 90.86% for Catalan, and have the ability to identify proper names, country names, and organizations for uppercase restoration.
DC2: Dual-Camera Defocus Control by Learning to Refocus

Smartphone cameras today are increasingly approaching the versatility and quality of professional cameras through a combination of hardware and software advancements. However, fixed aperture remains a key limitation, preventing users from controlling the depth of field (DoF) of captured images. At the same time, many smartphones now have multiple cameras with different fixed apertures - specifically, an ultra-wide camera with wider field of view and deeper DoF and a higher resolution primary camera with shallower DoF. In this work, we propose $DC^{2}$, a system for defocus control for synthetically varying camera aperture, focus distance and arbitrary defocus effects by fusing information from such a dual-camera system. Our key insight is to leverage real-world smartphone camera dataset by using image refocus as a proxy task for learning to control defocus. Quantitative and qualitative evaluations on real-world data demonstrate our system's efficacy where we outperform state-of-the-art on defocus deblurring, bokeh rendering, and image refocus. Finally, we demonstrate creative post-capture defocus control enabled by our method, including tilt-shift and content-based defocus effects.
Successful rescue of fulminant myocarditis with mechanical circulatory support and immunosuppression therapy: A case report

Myocarditis is challenging to diagnose because of its various clinical manifestations. Fulminant myocarditis (FM) is a severe type of myocarditis characterized by heart failure, malignant arrhythmia, cardiogenic shock, and cardiac arrest. Its early diagnosis and timely treatment are crucial for a positive long-term prognosis. Here we report a case of 42-year-old woman who presented with fever, chest pain, and cardiogenic shock. An initial examination showed increased myocardial enzyme levels and diffuse ST-segment elevation. Urgent coronary angiography excluded coronary artery stenosis. Echocardiography revealed decreased left ventricular systolic function. Cardiac magnetic resonance imaging revealed cardiomyocyte necrosis and interstitial inflammatory edema. The patient was diagnosed with FM and administered antiviral and anti-infective agents, glucocorticoid, immunoglobulin, and supported with temporary cardiac pacemaker and positive airway therapy, and treated with continuous renal replacement therapy. As her clinical condition deteriorated rapidly, we immediately started an intra-aortic balloon pump and veno-arterial extracorporeal membrane oxygenation. She was discharged on day 15 and recovered normally during follow-up. The early initiation of mechanical circulatory support and immunosuppression are life-saving tools for the treatment of FM.
Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations

Background Cardiac function quantification in cardiovascular magnetic resonance requires precise contouring of the heart chambers. This time-consuming task is increasingly being addressed by a plethora of ever more complex deep learning methods. However, only a small fraction of these have made their way from academia into clinical practice. In the quality assessment and control of medical artificial intelligence, the opaque reasoning and associated distinctive errors of neural networks meet an extraordinarily low tolerance for failure. Aim The aim of this study is a multilevel analysis and comparison of the performance of three popular convolutional neural network (CNN) models for cardiac function quantification. Methods U-Net, FCN, and MultiResUNet were trained for the segmentation of the left and right ventricles on short-axis cine images of 119 patients from clinical routine. The training pipeline and hyperparameters were kept constant to isolate the influence of network architecture. CNN performance was evaluated against expert segmentations for 29 test cases on contour level and in terms of quantitative clinical parameters. Multilevel analysis included breakdown of results by slice position, as well as visualization of segmentation deviations and linkage of volume differences to segmentation metrics via correlation plots for qualitative analysis. Results All models showed strong correlation to the expert with respect to quantitative clinical parameters (rz′ = 0.978, 0.977, 0.978 for U-Net, FCN, MultiResUNet respectively). The MultiResUNet significantly underestimated ventricular volumes and left ventricular myocardial mass. Segmentation difficulties and failures clustered in basal and apical slices for all CNNs, with the largest volume differences in the basal slices (mean absolute error per slice: 4.2 ± 4.5 ml for basal, 0.9 ± 1.3 ml for midventricular, 0.9 ± 0.9 ml for apical slices). Results for the right ventricle had higher variance and more outliers compared to the left ventricle. Intraclass correlation for clinical parameters was excellent (≥0.91) among the CNNs. Conclusion Modifications to CNN architecture were not critical to the quality of error for our dataset. Despite good overall agreement with the expert, errors accumulated in basal and apical slices for all models.
“PrEP protects us”: Behavioural, normative, and control beliefs influencing pre-exposure prophylaxis uptake among pregnant and breastfeeding women in Zambia

Background Although pre-exposure prophylaxis (PrEP) is recommended for pregnant and breastfeeding women at elevated HIV risk, uptake has been low in Zambia. Methods In in-depth interviews, we explored beliefs about PrEP among 24 HIV-negative pregnant and breastfeeding Zambian women. Thematic analysis was used to identify behavioural, normative and control beliefs likely to influence PrEP uptake. Results Most women viewed PrEP as a good method of protecting themselves and their babies from HIV infection. Partners were cited as key referents in decision making about PrEP use. Many women felt that PrEP use was not entirely in their control. Most reported that they would not use PrEP if their partners did not approve. Health care providers with negative attitudes, long distance to clinics, and extended waiting times were cited as barriers to PrEP uptake. Conclusion HIV-negative pregnant and breastfeeding women had a positive attitude towards PrEP but barriers to uptake are multifaceted.
Lift Induced Drag Computation by Lamb Vector Integration

Lift induced drag is computed from flow field data by a volume integral of the Lamb vector (cross product of the vorticity and the velocity vector). While conventional far-field methods can compute profile drag by volume integral, induced drag is usually computed by Maskell’s method which requires to make a two-dimensional plane cut from threedimensional data. Utilizing the Lamb vector integration, plane data reconstruction is not necessary and an insight of the drag production can also be obtained. The acquired aerodynamic forces, such as lift induced drag and lift are evaluated in comparison with the values computed by the conventional methods. Numerical solutions of the Reynolds averaged Navier-Stokes equations are analyzed by the present method. Two test cases are discussed consisting in a two dimensional airfoil and a three dimensional elliptic wing.
Proteomic profiling of eIF3a conditional knockout mice

Eukaryotic translation initiation factor 3 subunit A (eIF3a) is the largest subunit of the eukaryotic translation initiation factor 3 (eIF3). eIF3a plays an integral role in protein biosynthesis, hence impacting the onset, development, and treatment of tumors. The proteins regulated by eIF3a are still being explored in vivo. In this study, a Cre-loxP system was used to generate eIF3a conditional knockout mice. Tandem mass tag (TMT) labeling with LC-MS/MS analysis was used to identify differentially expressed proteins (DEPs) in fat, lungs, skin, and spleen tissue of the eIF3a knockout mice and controls. Bioinformatics analysis was then used to explore the functions and molecular signaling pathways of these protein landscapes. It was observed that eIF3a is essential for life sustenance. Abnormal tissue pathology was found in the lungs, fat, skin, spleen, and thymus. In total, 588, 210, 324, and 944 DEPs were quantified in the lungs, fat, skin, and spleen, respectively, of the eIF3a knockout mice as compared to the control. The quantified differentially expressed proteins were tissue-specific, except for eight proteins shared by the four tissues. A broad range of functions for eIF3a, including cellular signaling pathway, immune response, metabolism, defense response, phagocytes, and DNA replication, has been revealed using bioinformatics analysis. Herein, several pathways related to oxidative stress in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, including nitrogen metabolism, peroxisome, cytochrome P450 drug metabolism, pyruvate metabolism, PPAR signaling pathway, phospholipase D signaling pathway, B-cell receptor signaling pathway, ferroptosis, and focal adhesion, have been identified. Collectively, this study shows that eIF3a is an essential gene for sustaining life, and its downstream proteins are involved in diverse novel functions beyond mRNA translational regulation.