bluuebunny/crossref_metadata_2025_split huggingface dataset:
CSGALNACT2 restricts ovarian cancer migration and invasion by modulating MAPK/ERK pathway through DUSP1
Authors: Ma Mingjun , Wang Chao , Wu Meixuan , Gu Sijia , Yang Jiani , Zhang Yue , Cheng Shanshan , Xu Shilin , Zhang Minghai , Wu Yongsong , Zhao Yaqian , Tian Xiu , Voon Dominic Chih-Cheng , Takahashi Chiaki , Sheng Jindan , Wang Yu 
Published: December 2023

Abstract
Purpose
Ovarian cancer is one of the leading causes of cancer-related death among women. CSGALNACT2 is a vital Golgi transferase and is related to a variety of human diseases. However, its expression pattern and function in ovarian cancer remain uncertain.

Methods
The Cancer Genome Atlas and GEPIA databases were used to assess the expression of CSGALNACT2 in ovarian cancer patients. RNA-seq, qRT-PCR, and IHC were used to verify the expression of CSGALNACT2 in ovarian cancer tissues. Then, in vivo and in vitro experiments were conducted to evaluate the role of CSGALNACT2 in the progression of ovarian cancer. RNA-seq and GSEA were used to reveal the potential biological function and oncogenic pathways of CSGALNACT2.

Results
We demonstrated that the mRNA expression and protein level of CSGALNACT2 were significantly downregulated in ovarian cancer and ovarian cancer metastatic tissues. CSGALNACT2 can significantly inhibit the migration, invasion, and clonogenic growth of ovarian cancer in vitro and is progressively lost during ovarian cancer progression in vivo. CSGALNACT2 suppresses ovarian cancer migration and invasion via DUSP1 modulation of the MAPK/ERK pathway through RNA-seq, KEGG analysis, and Western blotting. Moreover, CSGALNACT2 expression was correlated with immune cell infiltration and had prognostic value in different immune cell-enriched or decreased ovarian cancer. In addition, patients with CSGALNACT2 downregulation are less likely to benefit from immunotherapy.

Conclusion
As an ovarian cancer suppressor gene, CSGALNACT2 inhibits the development of ovarian cancer, and it might be used as a prognostic biomarker in patients with ovarian cancer.
Natural course of AIDS following HIV-2 infection
Authors: Fuhr Hannah , Christopeit Maximilian 
Published: December 2023

AbstractIn a 21-year-old female, AIDS following infection with HIV-2 was diagnosed alongside an HIV-associated high-grade B cell lymphoma. Treatment of HIV-2 with dolutegravir, emtricitabine, and tenofovir resulted in viral suppression and slow recovery of CD4 cell counts. Treatment of lymphoma caused significant adverse effects but led to complete remission. The patient denied sexual activity and intravenous drug abuse. The patient had been born to an HIV-2-positive mother but appropriate perinatal testing based on national guidelines had remained negative. This case recapitulates the natural course of HIV-2 infection.
A new family of aggregation functions for intervals
Authors: Diaz-Vazquez Susana , Torres-Manzanera Emilio , Rico Noelia , Mesiar Radko , Rodriguez-Martinez Iosu , Lafuente Julio , Diaz Irene , Montes Susana , Bustince Humberto 
Published: December 2023

AbstractAggregation operators are unvaluable tools when different pieces of information have to be taken into account with respect to the same object. They allow to obtain a unique outcome when different evaluations are available for the same element/object. In this contribution we assume that the opinions are not given in form of isolated values, but intervals. We depart from two “classical” aggregation functions and define a new operator for aggregating intervals based on the two original operators. We study under what circumstances this new function is well defined and we provide a general characterization for monotonicity. We also study the behaviour of this operator when the departing functions are the most common aggregation operators. We also provide an illustrative example demonstrating the practical application of the theoretical contribution to ensemble deep learning models.
Experimental and Numerical Analysis of Aluminum-Polyethylene Composite Structure Subjected to Tension and Perforation Under Dynamic Loading for a Wide Range of Temperatures
Authors: Bendarma A. , Jankowiak T. , Rusinek A. , Lodygowski T. , Czarnota C. , Bernier R. , Khalfaoui M. 
Published: December 2023

AbstractThe aim of this work consists of identifying the material behavior of Alucobond composite structures subjected to ballistic impact. The composite is made of Aluminum alloy AW5005 and LDPE (low-density polyethylene). The mechanical properties of these materials are described in term of strain rate and temperature dependencies. Quasi-static tensile and compression tests for Alucobond are performed at four different strain rates, i.e. 0.0001 0.001, 0.01, and 0.03 $${s}^{-1}$$

s

-
1

. Moreover, in dynamic regime the used strain rate ranges in compression and perforation tests are ($${10}^{4}$$

10

4

$${s}^{-1}$$

s

-
1

≤ $$\dot{\varepsilon }$$

ε
˙

≤ $${10}^{5}$$

10

5

$${s}^{-1}$$

s

-
1

) at temperatures ranging from room temperature 20 °C to 100 °C. Various parameters influence the behavior of the Alucobond structure under impact: the geometry and the mechanical properties of the projectile, the initial impact velocity, and the thermomechanical behavior of the target. Numerous quasi-static and dynamic original test results (traction and perforation over a wide range of strain rates at room temperature and high temperature) are presented. Numerical simulations, particularly using the finite element (FE) method with the ABAQUS explicit code, are also effective supplements for theoretical and more detailed experimental investigations, which were carried out to analyze the dynamic behavior of impacted structures.
Determination of Hansen Solubility Parameters of Raw Muscovite
Authors: Weng Ming , Wang Xiuhua 
Published: December 2023

AbstractMuscovite has been used increasingly as a substrate in flexible electronics and fillers in high-performance nanocomposites. Muscovite-based interfacial interactions play a crucial rule in material fabrication. Hansen solubility parameters (HSPs) have proven useful in characterizing molecular interactions within/between condensed phases. The present study aimed to determine the HSPs of raw muscovite (RM) and to investigate solvent dispersion mechanisms of RM. To achieve this, the solubilities of RM in 17 solvents were evaluated by dispersion tests, and the HSPs of RM were calculated as the center of the optimal solubility rotated-ellipsoid in HSP space, which included all good solvents, had the smallest number of outliers, and had the smallest volume. The resulting dispersion, polar, and hydrogen bonding components of RM were 18.301, 2.366, and 3.727 MPa1/2, respectively. By considering the HSPs and Kamlet-Taft's solvatochromic parameters of solvents, we concluded that the low polarity of RM is due to hindered K+/H+ exchange on the RM surface, resulting from limited water/moisture contact. For solvent dispersion of RM, essential conditions include strong dispersion forces and weak polar forces, finely tuned to match the surface property of RM at a certain hydration level. The HSPs of RM determined from dispersion tests were restricted to predicting/characterizing RM-based interfacial phenomena in an environment with strictly controlled water/moisture content. The HSP calculation method proposed herein was applicable to any clay mineral.
Confronting algorithmic management using subject access requests: Insights using the case of food deliveries
Authors: Perrig Luca 
Published: December 2023

AbstractGig work is defined by a (mostly) automated management, operating remotely through an app. Without human interaction, workers are left with only guesses about the functioning of the algorithms they are subjected to. To better position themselves in their competition for tasks, they try to influence the data profile that platform build about them. Made of performance indicators, personal information, and sensor data, these profiles are an essential part of algorithmic management. This paper will identify data profiles as core sites of the struggle in the gig economy. It will discuss the benefits and limitations of bringing data at the centre stage through a workers’ inquiry of food delivery platforms. The analysis will distinguish three actors in this inquiry and discuss their uses of data profiles: the couriers themselves, as they attempt to make sense of algorithmic management; the researcher, and how they can use personal data in order to reconstitute this field of struggle; and the trade unions, which can provide a way to collectivise data governance and gain better information in building their case in favour of gig workers’ rights.
Improved representation of laminar and turbulent sheet flow in subglacial drainage models
Authors: Hill Tim , Flowers Gwenn Elizabeth , Hoffman Matthew James , Bingham Derek , Werder Mauro Angelo 
Published: December 2023

Abstract
Subglacial hydrology models struggle to reproduce seasonal drainage patterns that are consistent with observed subglacial water pressures and surface velocities. We modify the standard sheet-flow parameterization within a coupled sheet–channel subglacial drainage model to smoothly transition between laminar and turbulent flow based on the locally computed Reynolds number in a physically consistent way (the ‘transition’ model). We compare the transition model to standard laminar and turbulent models to assess the role of the sheet-flow parameterization in reconciling observed and modelled water pressures under idealized and realistic forcing. Relative to the turbulent model, the laminar and transition models improve seasonal simulations by increasing winter water pressure and producing a more prominent late-summer water pressure minimum. In contrast to the laminar model, the transition model remains consistent with its own internal assumptions across all flow regimes. Based on the internal consistency of the transition model and its improved performance relative to the standard turbulent model, we recommend its use for transient simulations of subglacial drainage.
INTROENUMERABILITY, AUTOREDUCIBILITY, AND RANDOMNESS
Authors: LI ANG 
Published: December 2023

Abstract
We define

$\Psi $

-autoreducible sets given an autoreduction procedure

$\Psi $

. Then, we show that for any

$\Psi $

, a measurable class of

$\Psi $

-autoreducible sets has measure zero. Using this, we show that classes of cototal, uniformly introenumerable, introenumerable, and hyper-cototal enumeration degrees all have measure zero.
By analyzing the arithmetical complexity of the classes of cototal sets and cototal enumeration degrees, we show that weakly 2-random sets cannot be cototal and weakly 3-random sets cannot be of cototal enumeration degree. Then, we see that this result is optimal by showing that there exists a 1-random cototal set and a 2-random set of cototal enumeration degree. For uniformly introenumerable degrees and introenumerable degrees, we utilize

$\Psi $

-autoreducibility again to show the optimal result that no weakly 3-random sets can have introenumerable enumeration degree. We also show that no 1-random set can be introenumerable.
The politics of disease
Authors: McDermott Rose 
Published: December 2023

AbstractThe COVID-19 pandemic highlights a long-known but often neglected aspect of international relations: the ability of disease to challenge and change all aspects of security, as well as the ability of public policies to change the course of disease progression. Diseases, especially mass epidemics like COVID-19, clearly affect political, economic, and social structures, but they can also be ameliorated or exacerbated by political policies, including public health policies. The threat of pandemic disease poses a widespread and increasing threat to international stability. Indeed, the political implications of pandemic disease have become increasingly evident as COVID-19 has precipitated death, economic collapse, and political instability around the globe. Any pandemic disease can precipitate catastrophes, from increasing health care costs to decreased productivity. This theoretical discussion highlights the intertwined interactions between social, political, and economic forces and the emergence and evolution of pandemic disease, with widespread implications for governance and international security.
A RADIOCARBON-BASED MODEL OF CHANGING BURIAL RITES IN EARLY MEDIEVAL ENGLAND
Authors: Brownlee Emma 
Published: December 2023

ABSTRACTThis paper uses a “dates as data” approach to understand how grave good use and cemetery space changed across the early medieval period in England. A series of composite kernel density estimations were created, based on a dataset of nearly 1100 graves with associated radiocarbon dates, from between the fourth and ninth centuries AD. This modeling revealed a previously unrecognized peak in grave furnishing around 600 AD, which coincides with a peak in isolated burials, and a low point for unfurnished graves and for small cemeteries. It argues that this peak is unrecognized as previous models of chronological change have focused only on graves containing chronologically distinctive artifacts and highlights the importance of radiocarbon dating as a way of avoiding this limitation.
Revisiting the Phanerozoic rock–diversity relationship
Authors: Na Lin , Li Qijian , Krause Cristina , Zhu Minghang , Kiessling Wolfgang 
Published: December 2023

AbstractThe congruence between rock quantity and biodiversity through the Phanerozoic has long been acknowledged. Rock record bias and common cause are the most discussed hypotheses: the former emphasizes that the changes in diversity through time fully reflect rock availability; the latter posits that the correlation between rock and fossil records is driven by a common cause, such as sea-level changes. Here, we use the Geobiodiversity Database (GBDB), a large compilation of the rock and fossil records, to test the rock bias hypothesis. In contrast to other databases on fossil occurrences, the section-based GBDB also records unfossiliferous units. Our multiple regression analysis shows that 85% of the variation in sampled diversity can be attributed to the rock record, meaning that major peaks and drops in observed diversity are mainly due to the rock record. Our results support a strong covariation between the number of unfossiliferous units and sampled diversity, indicating a genuine rock bias that arose from sampling effort that is independent of fossil content. This provides a compelling argument that the rock record bias is more prominent than common cause in explaining large-scale variations in sampled diversity. Our study suggests that (1) no single proxy can fully represent rock record bias in predicting biodiversity, (2) rock bias strongly governs sampled diversity in both marine and terrestrial communities, and (3) unfossiliferous strata contain critical information in predicting diversity of marine and terrestrial animals.
Victorian prescience: The Lancetmedical journal and the loss of the Franklin expedition, 1845–1859
Authors: Millar Keith 
Published: December 2023

AbstractThe loss of Sir John Franklin’s Arctic expedition has provoked speculation about the cause of the fatal outcome from the expedition’s departure in 1845 to the present day. This study describes howThe Lancet, first published in 1823 and now one of the world’s leading medical journals, drew conclusions at the time of the expedition’s loss, which closely parallel those of today’s most recent research. The journal took evidence from Arctic medical and naval experts to conclude in 1859 that the Admiralty’s misdirected searches committed the crews to ice-bound entrapment, which had fatal nutritional consequences. The Lancet’s prescience has been supported by recent research showing that the unique physical circumstances faced by the expedition had nutritional effects related to vitamin deficiencies, which explain mortality over the third winter and the eventual total loss. It is significant that, although published 160 years apart and with vitamins unknown in the Victorian era, both studies took robust evidence-based approaches to draw similar conclusions.
Divorce and risk of suicide attempt: a Swedish national study
Authors: Edwards Alexis C. , Ohlsson Henrik , Salvatore Jessica E. , Stephenson Mallory E. , Crump Casey , Sundquist Jan , Sundquist Kristina , Kendler Kenneth S. 
Published: December 2023

AbstractBackgroundPrior research has reported an association between divorce and suicide attempt. We aimed to clarify this complex relationship, considering sex differences, temporal factors, and underlying etiologic pathways.MethodsWe used Swedish longitudinal national registry data for a cohort born 1960–1990 that was registered as married between 1978 and 2018 (N = 1 601 075). We used Cox proportional hazards models to estimate the association between divorce and suicide attempt. To assess whether observed associations were attributable to familial confounders or potentially causal in nature, we conducted co-relative analyses.ResultsIn the overall sample and in sex-stratified analyses, divorce was associated with increased risk of suicide attempt (adjusted hazard ratios [HRs] 1.66–1.77). Risk was highest in the year immediately following divorce (HRs 2.20–2.91) and declined thereafter, but remained elevated 5 or more years later (HRs 1.41–1.51). Divorcees from shorter marriages were at higher risk for suicide attempt than those from longer marriages (HRs 3.33–3.40 and 1.20–1.36, respectively). In general, HRs were higher for divorced females than for divorced males. Co-relative analyses suggested that familial confounders and a causal pathway contribute to the observed associations.ConclusionsThe association between divorce and risk of suicide attempt is complex, varying as a function of sex and time-related variables. Given evidence that the observed association is due in part to a causal pathway from divorce to suicide attempt, intervention or prevention efforts, such as behavioral therapy, could be most effective early in the divorce process, and in particular among females and those whose marriages were of short duration.
The comprehension of passives in Mandarin children with and without DLD: from the perspective of Edge Feature Underspecification Hypothesis
Authors: Du Jiao , He Xiaowei , Yu Haopeng 
Published: December 2023

AbstractThis paper investigates the comprehension of long and short passives in 15 Mandarin preschool children with Developmental Language Disorder (DLD) (aged 4;2–5;11 years), 15 Typically Developing Age-matched (TDA) (aged 4;3–5;8 years) children, and 15 Typically Developing Younger (TDY) (aged 3;2–4;3 years) children by using the picture-sentence matching task. The results reveal that children with DLD encounter more difficulty comprehending long passives compared with short passive, that they perform worse on the comprehension task than TDA children and TDY children, and that this population is more likely to commit thematic role reversal errors and point to pictures with the incorrect agent (patient) than typically developing children. Given that Mandarin passives are Topic Structures, we maintain that children with DLD are insensitive to the edge feature of the moved element in long passives, leading to Relativized Minimality effect and causing the asymmetry between the comprehension of long and short passives. These results align well with the Edge Feature Underspecification Hypothesis. Errors found in the children with DLD in the comprehension task point toward impaired syntactic knowledge and the lexical semantic deficit.
Level-p-complexity of Boolean functions using thinning, memoization, and polynomials
Authors: JANSSON JULIA , JANSSON PATRIK 
Published: December 2023

Abstract
This paper describes a purely functional library for computing level-p-complexity of Boolean functions and applies it to two-level iterated majority. Boolean functions are simply functions from n bits to one bit, and they can describe digital circuits, voting systems, etc. An example of a Boolean function is majority, which returns the value that has majority among the n input bits for odd n. The complexity of a Boolean function f measures the cost of evaluating it: how many bits of the input are needed to be certain about the result of f. There are many competing complexity measures, but we focus on level-p-complexity — a function of the probability p that a bit is 1. The level-p-complexity

$D_p(f)$

is the minimum expected cost when the input bits are independent and identically distributed with Bernoulli(p) distribution. We specify the problem as choosing the minimum expected cost of all possible decision trees — which directly translates to a clearly correct, but very inefficient implementation. The library uses thinning and memoization for efficiency and type classes for separation of concerns. The complexity is represented using (sets of) polynomials, and the order relation used for thinning is implemented using polynomial factorization and root counting. Finally, we compute the complexity for two-level iterated majority and improve on an earlier result by J. Jansson.
Extreme Birkeland Currents Are More Likely During Geomagnetic Storms on the Dayside of the Earth
Authors: Coxon John C. , Chisham Gareth , Freeman Mervyn P. , Forsyth Colin , Walach Maria‐Theresia , Murphy Kyle R. , Vines Sarah K. , Anderson Brian J. , Smith Andrew W. , Fogg Alexandra R. 
Published: December 2023

AbstractWe examine the statistical distribution of large‐scale Birkeland currents measured by the Active Magnetosphere and Planetary Electrodynamics Response Experiment in four unique categories of geomagnetic activity for the first time: quiet times, storm times, quiet‐time substorms, and storm‐time substorms. A novel method is employed to sort data into one of these four categories, and the categorizations are provided for future research. The mean current density is largest during substorms and its standard deviation is largest during geomagnetic storms. Current densities which are above a low threshold are more likely during substorms, but extreme currents are far more likely during geomagnetic storms, consistent with a paradigm in which geomagnetic storms represent periods of enhanced variability over quiet times. We demonstrate that extreme currents are most likely to flow within the Region 2 current during geomagnetic storms. This is unexpected in a paradigm of the current systems in which Region 1 current is generally larger.
New Insights Into the Active Tectonics of the Northern Canadian Cordillera From an Enhanced Earthquake Catalog
Authors: Drooff Connor , Freymueller Jeffrey T. 
Published: December 2023

AbstractSeismic activity in the Northern Canadian Cordillera is characterized by diffuse earthquakes that extend hundreds of km northwest from the Yakutat collision zone. We use 25 months of broadband seismic data from Mackenzie Mountain Earthscope Project (MMEP), USArray Transportable Array (TA), and permanent Canadian National Seismic Network stations to present a local earthquake catalog with high sensitivity to small regional events. Deep learning techniques are adopted for both seismic phase detection and association. Event relocations are performed to provide well constrained estimates of earthquake depth distributions. Clusters of seismicity spanning the upper crust are located in the central Richardson Mountains, along the Tintina fault, and in the northeast Selwyn Basin. These clusters suggest that the core of the Richardson Anticlinorium is tectonically active and that the Tintina fault is a locus for low levels of active deformation. We interpret seismicity in the northeast Selwyn Basin as primarily occurring in the hanging wall of the Plateau thrust fault and suggest that some combination of localized duplex structures and lithological strength contrasts both within the Selwyn Basin and between abutting Paleozoic shelf sequences may be responsible for seismicity in the Mackenzie Mountain foreland.