bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anomaly Discovery and Arbitrage Trading
Authors: Dong Xi , Liu Qi , Lu Lei , Sun Bo , Yan Hongjun 
Published: February 2023

AbstractWe analyze a model in which an anomaly is unknown to arbitrageurs until its discovery, and test the model implications on both asset prices and arbitrageurs’ trading activities. Using data on 99 anomalies documented in the existing literature, we find that the discovery of an anomaly reduces the correlation between the returns of its decile-1 and decile-10 portfolios. This discovery effect is stronger if the aggregate wealth of hedge funds is more volatile. Finally, hedge funds increase (reverse) their positions in exploiting anomalies when their aggregate wealth increases (decreases), further suggesting that these discovery effects operate through arbitrage trading.
Strengthening small-scale fisheries management and conservation in Myanmar through locally managed marine areas
Authors: Thiha Soe , Zayya Kyaw , Aye Muyar , Aung Soe Tint , Lin Salai Mon Nyi Nyi , Carli Filippo , Duffy Henry 
Published: February 2023

AbstractThe NGO Fauna & Flora started working in the Myeik Archipelago, southern Myanmar in 2013, and in 2017 three locally managed marine areas were established to aid sustainable fisheries management and support biodiversity conservation. These sites are the first protected areas specifically established for co-management of marine fisheries in Myanmar, in which long-term management rights have been formally granted to local fishing communities. The establishment of a further four locally managed marine areas is now in progress, with ambitions for a network to be established throughout the archipelago. To track changes in these habitats over time, assess effectiveness and inform adaptive fisheries management, annual coral reef monitoring will be conducted at these community-managed sites. We provide an overview of the locally managed marine areas recently established in Myanmar and of proposed new sites, and detail the establishment of the first permanent coral reef monitoring transects. In sharing the initial evidence gathered on the impact of new, local management measures, we aim to highlight the importance and benefit of developing marine resource management systems to strengthen fisheries management while simultaneously establishing a monitoring framework to fill a national and global coral reef data gap.
Why is Lived Experience Absent from Social Security Policymaking?
Authors: Speed Ewen , Reeves Aaron 
Published: February 2023

AbstractProcesses of public engagement in decision-making and research are increasingly discussed as ways of addressing democratic deficits in high-income countries. In this paper, we explore why these processes of engagement and involvement in the UK have been less successfully incorporated into social security policymaking aimed at the out-of-work by drawing a comparison with health policy, a sphere in which these processes have now become orthodox (albeit imperfect). There is, for example, no formal or institutionalised imperative to involve people with lived experience of out-of-work social security benefits in processes of policy development. Government departments might focus group new policies with members of the public or hold periodic discussions with beneficiaries but in recent years there have been a number of major reforms to out-of-work social security which have been developed almost entirely without involving those affected. This would have been unacceptable in the health policy arena. We argue that this difference is rooted in structural differences in how the field of power for this form of social policy is organised, in the different social imaginaries which construct patients and out-of-work beneficiaries, and in the limited scope for solidarity and collective action around resisting the stigmatisation of out-of-work beneficiaries.
Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge
Authors: Coatanéa Eric , Nagarajan Hari , Mokhtarian Hossein , Wu Di , Panicker Suraj , Morales-Forero Andrés , Bassetto Samuel 
Published: February 2023

Abstract
Automatically extracting knowledge from small datasets with a valid causal ordering is a challenge for current state-of-the-art methods in machine learning. Extracting other type of knowledge is important but challenging for multiple engineering fields where data are scarce and difficult to collect. This research aims to address this problem by presenting a machine learning-based modeling framework leveraging the knowledge available in fundamental units of the variables recorded from data samples, to develop parsimonious, explainable, and graph-based simulation models during the early design stages. The developed approach is exemplified using an engineering design case study of a spherical body moving in a fluid. For the system of interest, two types of intricated models are generated by (1) using an automated selection of variables from datasets and (2) combining the automated extraction with supplementary knowledge about functions and dimensional homogeneity associated with the variables of the system. The effect of design, data, model, and simulation specifications on model fidelity are investigated. The study discusses the interrelationships between fidelity levels, variables, functions, and the available knowledge. The research contributes to the development of a fidelity measurement theory by presenting the premises of a standardized, modeling approach for transforming data into measurable level of fidelities for the produced models. This research shows that structured model building with a focus on model fidelity can support early design reasoning and decision making using for example the dimensional analysis conceptual modeling (DACM) framework.
Monoidal reverse differential categories
Authors: Cruttwell Geoff , Gallagher Jonathan , Lemay Jean-Simon Pacaud , Pronk Dorette 
Published: February 2023

AbstractCartesian reverse differential categories (CRDCs) are a recently defined structure which categorically model the reverse differentiation operations used in supervised learning. Here, we define a related structure called a monoidal reverse differential category, prove important results about its relationship to CRDCs, and provide examples of both structures, including examples coming from models of quantum computation.
Including mental health care in a model of European health system
Authors: Garattini Livio , Barbato Angelo , D'Avanzo Barbara , Nobili Alessandro 
Published: February 2023

Abstract
The management of a health system is a matter of economics and business administration because of the costs induced by goods and services delivered. Economics teaches us that the positive effects induced by competition in free markets cannot be expected in health care, which is a classic example of market failure from both demand and supply sides. The most sensible key concepts to refer for managing a health system are funding and provision. While the logical solution for the first variable is universal coverage through general taxation, the second one requires a deeper understanding. Integrated care is the modern approach that better supports the choice in favour of the public sector also for service provision. A major threat against this approach is dual practice legally allowed for health professionals, which inevitably raises financial conflicts of interest. An exclusive contract of employment for civil servants should be the sine qua non for providing public services effectively and efficiently. Integrated care is particularly important for long-term chronic illnesses associated with high levels of disability, such as neurodegenerative diseases and mental disorders, where the mix of health and social services needed can be very complex. Nowadays the growing number of community-dwelling patients with multiple physical and mental health needs is the major challenge for the European health systems. This happens also in public health systems, which should provide universal health coverage in principle, and the case of mental disorders is striking. In the light of this theoretical exercise, we strongly believe that a public National Health and Social Service should be the most indicated model for both funding and providing health and social care in modern societies. The big challenge of the common model of European health system here envisaged would be to limit the negative influences of politics and bureaucracy.
Closing the Wearable Gap: Foot–ankle kinematic modeling via deep learning models based on a smart sock wearable
Authors: Davarzani Samaneh , Saucier David , Talegaonkar Purva , Parker Erin , Turner Alana , Middleton Carver , Carroll Will , Ball John E. , Gurbuz Ali , Chander Harish , Burch Reuben F. , Smith Brian K. , Knight Adam , Freeman Charles 
Published: February 2023

Abstract
The development of wearable technology, which enables motion tracking analysis for human movement outside the laboratory, can improve awareness of personal health and performance. This study used a wearable smart sock prototype to track foot–ankle kinematics during gait movement. Multivariable linear regression and two deep learning models, including long short-term memory (LSTM) and convolutional neural networks, were trained to estimate the joint angles in sagittal and frontal planes measured by an optical motion capture system. Participant-specific models were established for ten healthy subjects walking on a treadmill. The prototype was tested at various walking speeds to assess its ability to track movements for multiple speeds and generalize models for estimating joint angles in sagittal and frontal planes. LSTM outperformed other models with lower mean absolute error (MAE), lower root mean squared error, and higher R-squared values. The average MAE score was less than 1.138° and 0.939° in sagittal and frontal planes, respectively, when training models for each speed and 2.15° and 1.14° when trained and evaluated for all speeds. These results indicate wearable smart socks to generalize foot–ankle kinematics over various walking speeds with relatively low error and could consequently be used to measure gait parameters without the need for a lab-constricted motion capture system.
Dependence of Ionospheric Responses on Solar Wind Dynamic Pressure During Geomagnetic Storms Using Global Long‐Term GNSS‐TEC Data
Authors: Sori Takuya , Shinbori Atsuki , Otsuka Yuichi , Nishioka Michi , Perwitasari Septi 
Published: February 2023

AbstractTo elucidate the effect of solar wind dynamic pressure on the activities of ionospheric plasma irregularities in both high‐latitude and equatorial regions, we analyzed the long‐term global navigation satellite system (GNSS) total electron content (TEC) data from 2000 to 2018 and performed a superposed epoch analysis of the GNSS rate of the TEC index (ROTI), solar wind, interplanetary magnetic field (IMF), and geomagnetic index. We found that during the main phase of geomagnetic storms, the activities of ionospheric plasma irregularities were considerably enhanced in both high‐latitude and equatorial regions under high‐pressure conditions, and the equatorward edge of the auroral oval moved to lower latitudes. The poleward edge of the enhanced low‐latitude ROTI region (occurrence region of the plasma bubbles) in the evening sector extended to higher latitudes under high‐pressure conditions. During the recovery phase of geomagnetic storms, the plasma bubble occurrence in the dusk sector was suppressed under high‐pressure conditions. Our results suggest that the high‐latitude convection electric field and the penetration and disturbance dynamo electric fields at low latitudes become stronger during geomagnetic storms when the solar wind dynamic pressure is enhanced. This is because the conversion from solar wind energy to electromagnetic energy in the magnetosphere is enhanced by the formation of a high plasma pressure area in the high‐latitude cusp and mantle region. Therefore, not only the southward IMF but also solar wind dynamic pressure are important factors for varying global ionospheric responses during geomagnetic storms.
Subseasonal Great Plains Rainfall via Remote Extratropical Teleconnections: Regional Application of Theory‐Guided Causal Networks
Authors: Malloy Kelsey , Kirtman Ben P. 
Published: February 2023

AbstractLong‐range U.S. summer rainfall prediction skill is low. Monsoon variability, especially over the West North Pacific Monsoon (WNPM) and/or East Asian Monsoon (EAM) region, can influence U.S. Great Plains hydroclimate variability via a forced Rossby wave response. Here, we explored subseasonal monsoon variability as a source of predictability for Great Plains rainfall. The boreal summer intraseasonal oscillation (BSISO) is related to Great Plains convection and Great Plains low‐level jet (LLJ) anomalies as well as a cross‐Pacific wave train. Using a causal effect network, we found that the time between BSISO‐related geopotential height anomalies and Great Plains rainfall anomalies is about 2 weeks; therefore, BSISO convection may be a valuable forecast of opportunity for subseasonal prediction of Great Plains convection anomalies. More specifically, causal link patterns/maps revealed that the above‐normal weekly EAM rainfall, rather than WNPM rainfall or general geopotential height activity over the East Asia, was causally linked to Great Plains LLJ strengthening and active Great Plains convection the following week.
Plan‐Form Evolution of Drainage Basins in Response to Tectonic Changes: Insights From Experimental and Numerical Landscapes
Authors: Habousha K. , Goren L. , Nativ R. , Gruber C. 
Published: February 2023

AbstractSpatial gradients in rock uplift control the relief and slope distribution in uplifted terrains. Relief and slopes, in turn, promote channelization and fluvial incision. Consequently, the geometry of drainage basins is linked to the spatial pattern of uplift. When the uplift pattern changes, basin geometry is expected to change by migrating water divides. However, the relations between drainage pattern and changing uplift patterns remain elusive. The current study investigates the plan‐view evolution of drainage basins and the reorganization of drainage networks in response to changes in the spatial pattern of uplift, focusing on basin interactions that produce globally observed geometrical scaling relations. We combine landscape evolution experiments and simulations to explore a double‐stage scenario: the emergence of a fluvial network under block uplift conditions followed by tilting that forces drainage reorganization. We find that the globally observed basin spacing ratio and Hack's parameters emerge early in the basin formation and are maintained by differential basin growth. In response to the tilting, main divide migration induces basin size changes. However, basins' scaling relations are mostly preserved within a narrow range of values, assisted by incorporation and disconnection of basins to and from the migrating main divide. Lastly, owing to similarities in landscape dynamics and response rate to uplift pattern changes between experiments and simulations, we conclude that the stream power incision model can represent fluvial erosion processes operating in experimental settings.
Water column dynamics control nitrite-dependent anaerobic methane oxidation by Candidatus “Methylomirabilis” in stratified lake basins
Authors: Su Guangyi , Lehmann Moritz F , Tischer Jana , Weber Yuki , Lepori Fabio , Walser Jean-Claude , Niemann Helge , Zopfi Jakob 
Published: February 2023

Abstract
We investigated microbial methane oxidation in the water column of two connected but hydrodynamically contrasting basins of Lake Lugano, Switzerland. Both basins accumulate large amounts of methane in the water column below their chemoclines, but methane oxidation efficiently prevents methane from reaching surface waters. Here we show that in the meromictic North Basin water column, a substantial fraction of methane was eliminated through anaerobic methane oxidation (AOM) coupled to nitrite reduction by Candidatus Methylomirabilis. Incubations with 14CH4 and concentrated biomass from this basin showed enhanced AOM rates with nitrate (+62%) and nitrite (+43%). In the more dynamic South Basin, however, aerobic methanotrophs prevailed, Ca. Methylomirabilis was absent in the anoxic water column, and no evidence was found for nitrite-dependent AOM. Here, the duration of seasonal stratification and anoxia seems to be too short, relative to the slow growth rate of Ca. Methylomirabilis, to allow for the establishment of anaerobic methanotrophs, in spite of favorable hydrochemical conditions. Using 16 S rRNA gene sequence data covering nearly ten years of community dynamics, we show that Ca. Methylomirabilis was a permanent element of the pelagic methane filter in the North Basin, which proliferated during periods of stable water column conditions and became the dominant methanotroph in the system. Conversely, more dynamic water column conditions led to a decline of Ca. Methylomirabilis and induced blooms of the faster-growing aerobic methanotrophs Methylobacter and Crenothrix. Our data highlight that physical (mixing) processes and ecosystem stability are key drivers controlling the community composition of aerobic and anaerobic methanotrophs.
Differential effects of the LncRNA RNF157-AS1 on epithelial ovarian cancer cells through suppression of DIRAS3- and ULK1-mediated autophagy
Authors: Xu Pengfei , Xu Sujuan , Pan Haiyue , Dai Chencheng , Xu Yiran , Wang Luyao , Cong Yu , Zhang Huilin , Cao Jian , Ge Lili , Jia Xuemei 
Published: February 2023

AbstractAnalyses of several databases showed that the lncRNA RNF157 Antisense RNA 1 (RNF157-AS1) is overexpressed in epithelial ovarian cancer (EOC) tissues. In our study, suppressing RNF157-AS1 strikingly reduced the proliferation, invasion, and migration of EOC cells compared with control cells, while overexpressing RNF157-AS1 greatly increased these effects. By RNA pulldown assays, RNA binding protein immunoprecipitation (RIP) assays, and mass spectrometry, RNF157-AS1 was further found to be able to bind to the HMGA1 and EZH2 proteins. Chromatin immunoprecipitation (ChIP) assays showed that RNF157-AS1 and HMGA1 bound to the ULK1 promoter and prevented the expression of ULK1. Additionally, RNF157-AS1 interacted with EZH2 to bind to the DIRAS3 promoter and diminish DIRAS3 expression. ULK1 and DIRAS3 were found to be essential for autophagy. Combination autophagy inhibitor and RNF157-AS1 overexpression or knockdown, a change in the LC3 II/I ratio was found using immunofluorescence (IF) staining and western blot (WB) analysis. The autophagy level also was confirmed by autophagy/cytotoxicity dual staining. However, the majority of advanced EOC patients require platinum-based chemotherapy, since autophagy is a cellular catabolic response to cell stress. As a result, RNF157-AS1 increased EOC cell sensitivity to chemotherapy and death under cis-platinum (DDP) treatment by suppressing autophagy, as confirmed by cell count Kit-8 (CCK8) assays, flow cytometry, and autophagy/cytotoxicity dual staining. Therefore, the OS and PPS times were longer in EOC patients with elevated RNF157-AS1 expression. RNF157-AS1-mediated autophagy has potential clinical significance in DDP chemotherapy for EOC patients.
Diverse behaviors in non-uniform chiral and non-chiral swarmalators
Authors: Ceron Steven , O’Keeffe Kevin , Petersen Kirstin 
Published: February 2023

AbstractWe study the emergent behaviors of a population of swarming coupled oscillators, dubbed swarmalators. Previous work considered the simplest, idealized case: identical swarmalators with global coupling. Here we expand this work by adding more realistic features: local coupling, non-identical natural frequencies, and chirality. This more realistic model generates a variety of new behaviors including lattices of vortices, beating clusters, and interacting phase waves. Similar behaviors are found across natural and artificial micro-scale collective systems, including social slime mold, spermatozoa vortex arrays, and Quincke rollers. Our results indicate a wide range of future use cases, both to aid characterization and understanding of natural swarms, and to design complex interactions in collective systems from soft and active matter to micro-robotics.
Inducing transient enantiomeric excess in a molecular quantum racemic mixture with microwave fields
Authors: Sun Wenhao , Tikhonov Denis S. , Singh Himanshi , Steber Amanda L. , Pérez Cristóbal , Schnell Melanie 
Published: February 2023

AbstractChiral molecules with low enantiomer interconversion barriers racemize even at cryogenic temperatures due to quantum tunneling, forming a racemic mixture that is impossible to separate using conventional chemical methods. Here we both experimentally and theoretically demonstrate a method to create and probe a state-specific enantiomeric enrichment for such molecular systems. The coherent, non-linear, and resonant approach is based on a microwave six-wave mixing scheme and consists of five phase-controlled microwave pulses. The first three pulses induce a chiral wavepacket in a chosen rotational state, while the consecutive two pulses induce a polarization for a particular rotational transition (listen transition) with a magnitude proportional to the enantiomeric excess created. The experiments are performed with the transiently chiral molecule benzyl alcohol, where a chiral molecular response was successfully obtained. This signal demonstrates that enantiomeric excess can be induced in a quantum racemic mixture of a transiently chiral molecule using the developed microwave six-wave mixing scheme, which is an important step towards controlling non-rigid chiral molecular systems.
Multicopy suppressor screens reveal convergent evolution of single-gene lysis proteins
Authors: Adler Benjamin A. , Chamakura Karthik , Carion Heloise , Krog Jonathan , Deutschbauer Adam M. , Young Ry , Mutalik Vivek K. , Arkin Adam P. 
Published: February 2023

AbstractSingle-strand RNA (ssRNA) Fiersviridae phages cause host lysis with a product of single gene (sgl for single-gene lysis; product Sgl) that induces autolysis. Many different Sgls have been discovered, but the molecular targets of only a few have been identified. In this study, we used a high-throughput genetic screen to uncover genome-wide host suppressors of diverse Sgls. In addition to validating known molecular mechanisms, we discovered that the Sgl of PP7, an ssRNA phage of Pseudomonas aeruginosa, targets MurJ, the flippase responsible for lipid II export, previously shown to be the target of the Sgl of coliphage M. These two Sgls, which are unrelated and predicted to have opposite membrane topology, thus represent a case of convergent evolution. We extended the genetic screens to other uncharacterized Sgls and uncovered a common set of multicopy suppressors, suggesting that these Sgls act by the same or similar mechanism.
A dataset of definitive endoderm and hepatocyte differentiations from human induced pluripotent stem cells
Authors: Tanaka Yuki , Furuhata Erina , Maeda Shiori , Kishima Mami , Suzuki Harukazu , Suzuki Takahiro 
Published: February 2023

AbstractHepatocytes are a major parenchymal cell type in the liver and play an essential role in liver function. Hepatocyte-like cells can be differentiated in vitro from induced pluripotent stem cells (iPSCs) via definitive endoderm (DE)-like cells and hepatoblast-like cells. Here, we explored the in vitro differentiation time-course of hepatocyte-like cells. We performed methylome and transcriptome analyses for hepatocyte-like cell differentiation. We also analyzed DE-like cell differentiation by methylome, transcriptome, chromatin accessibility, and GATA6 binding profiles, using finer time-course samples. In this manuscript, we provide a detailed description of the dataset and the technical validations. Our data may be valuable for the analysis of the molecular mechanisms underlying hepatocyte and DE differentiations.