bluuebunny/crossref_metadata_2025_split huggingface dataset:
What do we know about treating breast-cancer-related lymphedema? Review of the current knowledge about therapeutic options
Authors: Anuszkiewicz Karolina , Jankau Jerzy , Kur Martyna 
Published: December 2022

AbstractBreast-cancer-related lymphedema (BCRL) is a common consequence of oncological treatment. Its management is a complicated, chronic, and arduous process. Therapeutic options can be divided on non-surgical and surgical methods, although there is still no clear consensus about their effectiveness in preventing or stopping the disease. That brings problems in everyday practice, as there are no guidelines about proper time for starting therapy and no agreement about which management will be beneficial for each patient. The aim of this review is to summarize current knowledge about possible treatment choices, non-surgical so as surgical, indicate knowledge gaps, and try to direct pathways for future studies.
Identifying nutrition-sensitive development options in Madagascar through a positive deviance approach
Authors: Rafanomezantsoa Arielle Sandrine , Coral Claudia , Randrianarison Narilala , Kubitza Christoph , Randriamampionona Denis , Andriamaniraka Harilala , Sieber Stefan , Tojo-Mandaharisoa Sarah , Steinke Jonathan 
Published: December 2022

AbstractContext-adapted interventions are needed to alleviate the burden of food and nutrition insecurity on resource-poor rural households in southeastern Madagascar. The Positive Deviance approach implies identifying locally viable development solutions by focusing on particularly successful, innovative individuals. To identify promising practices that could be promoted as part of food and nutrition security (FNS) interventions in the Atsimo Atsinanana region of southeastern Madagascar, positive deviance was searched among smallholder farmers. Positive deviants are defined as households with overall optimal performance across four aspects of FNS: household-level food security, women’s diet quality, child’s diet quality, and low diarrhea incidence. To identify positive deviants, a two-step procedure was followed. Based on quantitative survey data from 413 rural smallholder households (mother-child pairs) with a child aged between 6 and 23 months, each household’s four performance scores were adjusted by removing the average effects of household resources. Then, households with Pareto-optimal performance were identified regarding the four aspects. Subsequently, 16 positive deviants were revisited and positive deviant practices were identified through in-depth interviews. A set of practices were validated through focus group discussions with local nutrition and agriculture experts. Positive deviant practices include the adoption of agricultural innovation, such as new cash crops, as well as nutrition-sensitive market behaviors and reliance on off-farm activities. In addition, some ethno-cultural factors help to explain positive deviance. These diverse positive deviant practices may serve as examples and inspiration for locally grounded development interventions targeting FNS in southeastern Madagascar.
Waves in planetary dynamos
Authors: Hori K. , Nilsson A. , Tobias S. M. 
Published: December 2022

AbstractThis Special Topic focuses on magnetohydrodynamic (MHD) processes in the deep interiors of planets, in which their fluid dynamos are in operation. The dynamo-generated, global, magnetic fields provide a background for our solar-terrestrial environment. Probing the processes within the dynamos is a significant theoretical and computational challenge and any window into interior dynamics greatly increases our understanding. Such a window is provided by exploring rapid dynamics, particularly MHD waves about the dynamo-defined basic state. This field is the subject of current attention as geophysical observations and numerical modellings advance. We here pay particular attention to torsional Alfvén waves/oscillations and magnetic Rossby waves, which may be regarded as typical axisymmetric and nonaxisymmetric modes, respectively, amongst a wide variety of wave classes of rapidly rotating MHD fluids. The excitation of those waves has been evidenced for the Earth — whilst their presence has also been suggested for Jupiter. We shall overview their dynamics, summarise our current understanding, and give open questions for future perspectives.
How can entrepreneurial interventions in a university context impact the entrepreneurial intention of their students?
Authors: Bozward David , Rogers-Draycott Matthew , Angba Cynthia , Zhang Carol , Ma Hongyu , An Fulin , Topolansky Federico , Sabia Luca , Bell Robin , Beaumont Emily 
Published: December 2022

AbstractThis paper explores the link between the entrepreneurial intention of students in higher education and the entrepreneurial interventions an institution can provide to support them. The study uses data collected from 679 undergraduate students from Chinese and UK Universities. The instrument for data collection was a paper-based questionnaire. This study uses the integrated model of entrepreneurial intentions as the theoretical underpinning for this approach. The initial findings highlight the perceived need for a range of entrepreneurship interventions, with business training programmes being the highest priority, followed by mentoring, specialist business advice, low-cost finance, business networking events and enterprise clubs. It also shows that those with different Intention Horizons do request a different portfolio of interventions. The paper provides an evidence-based approach to entrepreneurship education design and the development of interventions to support a range of students with and without entrepreneurial intention. This work suggests a previously under-articulated relationship between the nascent entrepreneur’s Intention Horizon, university interventions, and entrepreneurial action. There are numerous calls for further contextualisation of entrepreneurship education which this paper fulfils (Baron and Shane in Psychol Entrepreneurship 19-39, 2007; Byrne et al. in Edward Elgar Publishing, 2014). It further develops the narrative around both contextualisation, the previous experience of the students and the range and importance of these interventions to support the creation of a new venture.
Think Twice: First for Tech, Then for Ed
Authors: Photopoulos Panos , Triantis Dimos 
Published: December 2022

AbstractThe embodiment of technology in education can make learning easier, more enjoyable, and more accessible. From Learning Machines to artificial intelligence (AI), educational technology has repeatedly tested its strength as an aider or a substitute to in-person teaching. During the COVID-19 pandemic international organisations promoted the idea of the transformation of education using technology. Comparison of their texts published in 2020 with texts published in 2021 indicates that much of the early enthusiasm concerning the transition from in-person to remote learning gave its position to more thoughtful accounts after considering the learning losses and students’ disappointment from the disruption of in-person relationships. This publication highlights aspects of education technology usually overlooked in futuristic accounts of education. Adopting a non-deterministic view of technology attempts to contribute to the more human-centred incorporation of technologies in education.
Evaluating the performance of AIC and BIC for selecting spatial econometric models
Authors: Agiakloglou Christos , Tsimpanos Apostolos 
Published: December 2022

AbstractThis study investigates using a Monte Carlo analysis the performance of the two most important information criteria, such as the Akaike’s Information Criterion and the Bayesian Information Criterion, not only in terms of selecting the true spatial econometric model but also in term of detecting spatial dependence in comparison with the LM tests for the simple two spatial models SLM and SEM. The analysis is also extended by incorporating several other spatial econometric models, such as the SLX, SDM, SARAR and SDEM, along with heteroscedastic and non-normal errors. Simulation results show that under ideal conditions these criteria can assist the analyst to select the true spatial econometric model and detect properly spatial dependence.
Computational Methods for Single-Cell Multi-Omics Integration and Alignment
Authors: Stanojevic Stefan , Li Yijun , Ristivojevic Aleksandar , Garmire Lana X. 
Published: December 2022

Abstract
Recently developed technologies to generate single-cell genomic data have made a revolutionary impact in the field of biology. Multi-omics assays offer even greater opportunities to understand cellular states and biological processes. The problem of integrating different omics data with very different dimensionality and statistical properties remains, however, quite challenging. A growing body of computational tools is being developed for this task, leveraging ideas ranging from machine translation to the theory of networks, and represents another frontier on the interface of biology and data science. Our goal in this review is to provide a comprehensive, up-to-date survey of computational techniques for the integration of single-cell multi-omics data, while making the concepts behind each algorithm approachable to a non-expert audience.
‘Willing’ ethnic-nationalists, diffusion, and resentment in India: A micro-foundational account
Authors: Sinha Aseema , Priyam Manisha 
Published: December 2022

AbstractUsing evidence regarding the consolidation of Hindu nationalism in India we put forward new ethnographic data about the variety of popular support for a Hindutva project and a new framework that proposes an interactive theory of social identity. This framework helps us understand how Hindu nationalism becomes embedded in society. We assert that Hindu nationalism in India could be fruitfully analysed by focusing on the processes through which ideas of exclusive nationalism spread among ordinary middle-class people and are expressed in micro-level psychological changes at the individual level. The consolidation of Hindu nationalism in India is being authored not only by parties or the state, but also by societal actors, specifically, ordinary middle-class Indians. Hindu nationalism has been spreading in micro-public spheres in a time of apparent peace and between elections, and with the participation of willing supporters. Building on our fieldwork and research in psychology and history, our conversations have also helped us to identify profiles of different types of nationalists, which we categorize as willing ethnic-nationalists, hardliners, bystanders, and moderates. Further, we suggest the need to focus on inter-linked micro-level mechanisms such as diffusion and emulation of Hindu-centric beliefs and ideas, mobilization by hardliners and organizations, and impunity resulting from protection by state agencies, which helps to create willing ethnic-nationalists and sustains Hindu nationalism. Evidence regarding social interactions from a variety of survey organizations concurs with our findings and our ethnographic material allows us to delve deeper into varieties of Hindu nationalist support across diverse ordinary people.
Modal FRP for all: Functional reactive programming without space leaks in Haskell
Authors: BAHR PATRICK 
Published: December 2022

Abstract
Functional reactive programming (FRP) provides a high-level interface for implementing reactive systems in a declarative manner. However, this high-level interface has to be carefully reigned in to ensure that programs can in fact be executed in practice. Specifically, one must ensure that FRP programs are causal and can be implemented without introducing space leaks. In recent years, modal types have been demonstrated to be an effective tool to ensure these operational properties. In this paper, we present

$\mathsf{Rattus}$

, a modal FRP language that extends and simplifies previous modal FRP calculi while still maintaining the operational guarantees for productivity, causality, and space leaks. The simplified type system makes

$\mathsf{Rattus}$

a practical programming language that can be integrated with existing functional programming languages. To demonstrate this, we have implemented a shallow embedding of

$\mathsf{Rattus}$

in Haskell that allows the programmer to write

$\mathsf{Rattus}$

code in familiar Haskell syntax and seamlessly integrate it with regular Haskell code. Thus,

$\mathsf{Rattus}$

combines the benefits enjoyed by FRP libraries such as Yampa, namely access to a rich library ecosystem (e.g., for graphics programming), with the strong operational guarantees offered by a bespoke type system. To establish the productivity, causality, and memory properties of the language, we prove type soundness using a logical relations argument fully mechanised in the Coq proof assistant.
Southern Ocean Control of 2°C Global Warming in Climate Models
Authors: Shin So‐Jung , Yeh Sang‐Wook , An Soon‐Il , Keenlyside Noel , Xie Shang‐Ping , Park Jae‐Heung 
Published: December 2022

AbstractGlobal warming will soon reach the Paris Agreement targets of 1.5°C/2°C temperature increase above pre‐industrial levels. Under a business‐as‐usual scenario, the time to reach these targets varies widely among climate models. Using Coupled Model Intercomparison Project Phase 5 and 6, we show that a 2°C global warming is determined by Southern Ocean (SO) state closely tied with a low‐level cloud (LLC) amount feedback strength during reference (1861–1900) period; climate models with cold SO tend to accompany more low‐level cloudiness and Antarctic sea ice concentration due to a strong LLC amount feedback. Consequently, initially cold SO models tend to simulate a fast global warming by absorbing more downward shortwave radiation compared to initially warm SO models because more LLC disappears due to a strong LLC amount feedback during the 2°C rise. Our results demonstrate that climate models that correctly simulate initial SO state can improve 2°C warming projections with reduced uncertainties.
Long‐Lived and Continual Volcanic Eruptions, Tectonic Activity, Pit Chains Formation, and Boulder Avalanches in Northern Tharsis Region: Implications for Late Amazonian Geodynamics and Seismo‐Tectonic Processes on Mars
Authors: Krishnan Vivek , Kumar P. Senthil 
Published: December 2022

AbstractTharsis is the largest volcanic province on Mars. It consists of a few large shield volcanoes, one of which is Alba Mons (AM), located in northern Tharsis, with the Ceraunius Fossae (CF) graben system to the south of it. Previous workers argued in favor of episodic building of Tharsis volcanoes. In contrast, we show that volcanism in the AM and CF regions occurred continually, at least in the last few hundred million years, based on ages of >1,000 stratigraphically young lava flows. Central volcanism in AM terminated around 200 Ma, while subsequent young volcanism, fed by both small shields and fissures, migrated to the south in CF. Several generations of grabens hosting thousands of simple to complex pit chains were formed by magmatic intrusion through feeder dikes, and these activities also migrated to the south during the Late Amazonian epoch. Thousands of boulder avalanches mark the slopes of grabens, pit chains, and impact craters, with ages ranging from a few tens to thousands of years. The local geological settings of the boulder falls suggest that both tectonic and volcanic marsquakes triggered the boulder avalanches. The broad zone of boulder falls in northern Tharsis defines the potential epicentral zone of (MW 4.1) 18 September 2021 marsquake. We infer that long‐lived and active magma chambers and subcrustal magma underplating driven by a mantle plume are present beneath the AM volcano and that these probably migrated south toward CF in the Late Amazonian epoch.
Orogens of Big Sky Country: Reconstructing the Deep‐Time Tectonothermal History of the Beartooth Mountains, Montana and Wyoming, USA
Authors: Ronemus Chance B. , Orme Devon A. , Guenthner William R. , Cox Stephen E. , Kussmaul Christopher A. L. 
Published: December 2022

AbstractArchean rocks exposed in the Beartooth Mountains, Montana and Wyoming, have experienced a complex >2.5 Gyr thermal history related to the long‐term geodynamic evolution of Laurentia. We constrain this history using “deep‐time” thermochronology, reporting zircon U‐Pb, biotite40Ar/39Ar, and zircon and apatite [U‐Th(‐Sm)]/He results from three transects across the basement‐core of the range. Our central transect yielded a zircon U‐Pb concordia age of 2,805.6 ± 6.4 Ma. Biotite40Ar/39Ar plateau ages from western samples are ≤1,775 ± 27 Ma, while those from samples further east are ≥2,263 ± 76 Ma. Zircon (U‐Th)/He dates span 686.4 ± 11.9 to 13.5 ± 0.3 Ma and show a negative relationship with effective uranium—a proxy for radiation damage. Apatite (U‐Th)/He dates are 109.2 ± 23.9 to 43.6 ± 1.9 Ma and correlate with sample elevation. Multi‐chronometer Bayesian time‐temperature inversions suggest: (a) Cooling between ∼1.90 and ∼1.80 Ga, likely related to Big Sky orogeny thermal effects; (b) Reheating between ∼1.80 Ga and ∼1.35 Ga consistent with Mesoproterozoic burial; (c) Cooling to ≤100°C between Mesoproterozoic and early Paleozoic time, likely reflecting continental erosion; (d) Variable Paleozoic–Jurassic cooling, possibly related to Paleozoic tectonism and/or low eustatic sea level; (e) Rapid Cretaceous–Paleocene cooling, preceding accepted proxies for flat‐slab subduction; (f) Eocene–Miocene reheating consistent with reburial by Cenozoic volcanics and/or sediments; (g) Post‐20 Ma cooling consistent with Neogene development of topographic relief. Our results emphasize the utility of multi‐chronometer thermochronology in recovering complex, non‐monotonic multi‐billion‐year thermal histories.
Proteogenomic analysis of acute myeloid leukemia associates relapsed disease with reprogrammed energy metabolism both in adults and children
Authors: Stratmann Svea , Vesterlund Mattias , Umer Husen M. , Eshtad Saeed , Skaftason Aron , Herlin Morten Krogh , Sundström Christer , Eriksson Anna , Höglund Martin , Palle Josefine , Abrahamsson Jonas , Jahnukainen Kirsi , Munthe-Kaas Monica Cheng , Zeller Bernward , Tamm Katja Pokrovskaja , Lindskog Cecilia , Cavelier Lucia , Lehtiö Janne , Holmfeldt Linda 
Published: December 2022

AbstractDespite improvement of current treatment strategies and novel targeted drugs, relapse and treatment resistance largely determine the outcome for acute myeloid leukemia (AML) patients. To identify the underlying molecular characteristics, numerous studies have been aimed to decipher the genomic- and transcriptomic landscape of AML. Nevertheless, further molecular changes allowing malignant cells to escape treatment remain to be elucidated. Mass spectrometry is a powerful tool enabling detailed insights into proteomic changes that could explain AML relapse and resistance. Here, we investigated AML samples from 47 adult and 22 pediatric patients at serial time-points during disease progression using mass spectrometry-based in-depth proteomics. We show that the proteomic profile at relapse is enriched for mitochondrial ribosomal proteins and subunits of the respiratory chain complex, indicative of reprogrammed energy metabolism from diagnosis to relapse. Further, higher levels of granzymes and lower levels of the anti-inflammatory protein CR1/CD35 suggest an inflammatory signature promoting disease progression. Finally, through a proteogenomic approach, we detected novel peptides, which present a promising repertoire in the search for biomarkers and tumor-specific druggable targets. Altogether, this study highlights the importance of proteomic studies in holistic approaches to improve treatment and survival of AML patients.
Nuclear factor I-C overexpression promotes monocytic development and cell survival in acute myeloid leukemia
Authors: Rastogi Namrata , Gonzalez Juan Bautista Menendez , Srivastava Vikas Kumar , Alanazi Bader , Alanazi Rehab N. , Hughes Owen M. , O’Neill Niamh S. , Gilkes Amanda F. , Ashley Neil , Deshpande Sumukh , Andrews Robert , Mead Adam , Rodrigues Neil P. , Knapper Steve , Darley Richard L. , Tonks Alex 
Published: December 2022

AbstractNuclear factor I-C (NFIC) belongs to a family of NFI transcription factors that binds to DNA through CAATT-boxes and are involved in cellular differentiation and stem cell maintenance. Here we show NFIC protein is significantly overexpressed in 69% of acute myeloid leukemia patients. Examination of the functional consequences of NFIC overexpression in HSPCs showed that this protein promoted monocytic differentiation. Single-cell RNA sequencing analysis further demonstrated that NFIC overexpressing monocytes had increased expression of growth and survival genes. In contrast, depletion of NFIC through shRNA decreased cell growth, increased cell cycle arrest and apoptosis in AML cell lines and AML patient blasts. Further, in AML cell lines (THP-1), bulk RNA sequencing of NFIC knockdown led to downregulation of genes involved in cell survival and oncogenic signaling pathways including mixed lineage leukemia-1 (MLL-1). Lastly, we show that NFIC knockdown in an ex vivo mouse MLL::AF9 pre-leukemic stem cell model, decreased their growth and colony formation and increased expression of myeloid differentiation markers Gr1 and Mac1. Collectively, our results suggest that NFIC is an important transcription factor in myeloid differentiation as well as AML cell survival and is a potential therapeutic target in AML.
Hydroxychloroquine lowers Alzheimer’s disease and related dementias risk and rescues molecular phenotypes related to Alzheimer’s disease
Authors: Varma Vijay R. , Desai Rishi J. , Navakkode Sheeja , Wong Lik-Wei , Anerillas Carlos , Loeffler Tina , Schilcher Irene , Mahesri Mufaddal , Chin Kristyn , Horton Daniel B. , Kim Seoyoung C. , Gerhard Tobias , Segal Jodi B. , Schneeweiss Sebastian , Gorospe Myriam , Sajikumar Sreedharan , Thambisetty Madhav 
Published: December 2022

AbstractWe recently nominated cytokine signaling through the Janus-kinase–signal transducer and activator of transcription (JAK/STAT) pathway as a potential AD drug target. As hydroxychloroquine (HCQ) has recently been shown to inactivate STAT3, we hypothesized that it may impact AD pathogenesis and risk. Among 109,124 rheumatoid arthritis patients from routine clinical care, HCQ initiation was associated with a lower risk of incident AD compared to methotrexate initiation across 4 alternative analyses schemes addressing specific types of biases including informative censoring, reverse causality, and outcome misclassification (hazard ratio [95% confidence interval] of 0.92 [0.83–1.00], 0.87 [0.81–0.93], 0.84 [0.76–0.93], and 0.87 [0.75–1.01]). We additionally show that HCQ exerts dose-dependent effects on late long-term potentiation (LTP) and rescues impaired hippocampal synaptic plasticity prior to significant accumulation of amyloid plaques and neurodegeneration in APP/PS1 mice. Additionally, HCQ treatment enhances microglial clearance of Aβ1-42,lowers neuroinflammation, and reduces tau phosphorylation in cell culture-based phenotypic assays. Finally, we show that HCQ inactivates STAT3 in microglia, neurons, and astrocytes suggesting a plausible mechanism associated with its observed effects on AD pathogenesis. HCQ, a relatively safe and inexpensive drug in current use may be a promising disease-modifying AD treatment. This hypothesis merits testing through adequately powered clinical trials in at-risk individuals during preclinical stages of disease progression.