bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revealing effective regional decarbonisation measures to limit global temperature increase in uncertain transition scenarios with machine learning techniques
Authors: Li Pei-Hao , Pye Steve , Keppo Ilkka , Jaxa-Rozen Marc , Trutnevyte Evelina 
Published: June 2023

AbstractClimate change mitigation scenarios generated by integrated assessment models have been extensively used to support climate change negotiations on the global stage. To date, most studies exploring ensembles of these scenarios focus on the global picture, with more limited attention to regional metrics. A systematic approach is still lacking to improve the understanding of regional heterogeneity, highlighting key regional decarbonisation measures and their relative importance for meeting global climate goals under deep uncertainty. This study proposes a novel approach to gaining robust insights into regional decarbonisation strategies using machine learning techniques based on the IPCC SR1.5 scenario database. Random forest analysis first reveals crucial metrics to limit global temperature increases. Logistic regression modelling and the patient rule induction method are then used to identify which of these metrics and their combinations are most influential in meeting climate goals below 2 °C or below 1.5 °C. Solar power and sectoral electrification across all regions have been found to be the most effective measures to limit temperature increases. To further limit increase below 1.5 °C and not only 2 °C, decommissioning of unabated gas plants should be prioritised along with energy efficiency improvements. Bioenergy and wind power show higher regional heterogeneity in limiting temperature increases, with lower influences than aforementioned measures, and are especially relevant in Latin America (bioenergy) and countries of the Organisation for Economic Co-operation and Development and the Former Soviet Union (bioenergy and wind). In the future, a larger scenario ensemble can be applied to reveal more robust and comprehensive insights.
Cells in the polyaneuploid cancer cell (PACC) state have increased metastatic potential
Authors: Mallin Mikaela M. , Kim Nicholas , Choudhury Mohammad Ikbal , Lee Se Jong , An Steven S. , Sun Sean X. , Konstantopoulos Konstantinos , Pienta Kenneth J. , Amend Sarah R. 
Published: June 2023

AbstractAlthough metastasis is the leading cause of cancer deaths, it is quite rare at the cellular level. Only a rare subset of cancer cells (~ 1 in 1.5 billion) can complete the entire metastatic cascade: invasion, intravasation, survival in the circulation, extravasation, and colonization (i.e. are metastasis competent). We propose that cells engaging a Polyaneuploid Cancer Cell (PACC) phenotype are metastasis competent. Cells in the PACC state are enlarged, endocycling (i.e. non-dividing) cells with increased genomic content that form in response to stress. Single-cell tracking using time lapse microscopy reveals that PACC state cells have increased motility. Additionally, cells in the PACC state exhibit increased capacity for environment-sensing and directional migration in chemotactic environments, predicting successful invasion. Magnetic Twisting Cytometry and Atomic Force Microscopy reveal that cells in the PACC state display hyper-elastic properties like increased peripheral deformability and maintained peri-nuclear cortical integrity that predict successful intravasation and extravasation. Furthermore, four orthogonal methods reveal that cells in the PACC state have increased expression of vimentin, a hyper-elastic biomolecule known to modulate biomechanical properties and induce mesenchymal-like motility. Taken together, these data indicate that cells in the PACC state have increased metastatic potential and are worthy of further in vivo analysis.
A structured modified Newton approach for solving systems of nonlinear equations arising in interior-point methods for quadratic programming
Authors: Ek David , Forsgren Anders 
Published: June 2023

AbstractThe focus in this work is on interior-point methods for inequality-constrained quadratic programs, and particularly on the system of nonlinear equations to be solved for each value of the barrier parameter. Newton iterations give high quality solutions, but we are interested in modified Newton systems that are computationally less expensive at the expense of lower quality solutions. We propose a structured modified Newton approach where each modified Jacobian is composed of a previous Jacobian, plus one low-rank update matrix per succeeding iteration. Each update matrix is, for a given rank, chosen such that the distance to the Jacobian at the current iterate is minimized, in both 2-norm and Frobenius norm. The approach is structured in the sense that it preserves the nonzero pattern of the Jacobian. The choice of update matrix is supported by results in an ideal theoretical setting. We also produce numerical results with a basic interior-point implementation to investigate the practical performance within and beyond the theoretical framework. In order to improve performance beyond the theoretical framework, we also motivate and construct two heuristics to be added to the method.
The effect on computational thinking and identified learning aspects: Comparing unplugged smartGames with SRA-Programming with tangible or On-screen output
Authors: Fanchamps Nardie , van Gool Emily , Slangen Lou , Hennissen Paul 
Published: June 2023

AbstractLearning basic concepts of programming resulting in a development on computational thinking (CT) can be reached by means of digital programming environments. As a counterpart, the application of unplugged programming activities seems also to have promising potential regarding the impact on CT. The main characteristic of unplugged programming is that it comprises activities without the use of information and communication technologies (ICT). Since previous research has shown that the application of sense-reason-act (SRA) programming with different types of output demonstrated a better understanding of underlying complex programming concepts with an impact on CT, our research investigates whether the application of unplugged programming, offered via SmartGames, can also generate such a distinctive impact on developing CT. To capture the effects of the different interventions applied, a mixed-methods study was conducted among primary school students aged ten to twelve. Research data were obtained by means of a pretest–posttest questionnaire survey using the validated Computational Thinking Test (CTt), and by conducting interviews to determine the effects of CT and to ascertain identifiable learning effects. Our research indicates that unplugged programming by applying SmartGames can be a consummate regarding the development of CT, similar to SRA-programming using either robotics with tangible output or robot simulations with on-screen output. The research findings identified support our claim that the application of unplugged SmartGames shows equivalent development on CT sub-characteristics in comparison with plugged-in SRA-programming with tangible or on-screen output. A better understanding of complex programming concepts and positive identified learning effects could only be partly demonstrated.
DHX9 Strengthens Atherosclerosis Progression By Promoting Inflammation in Macrophages
Authors: Huangfu Ning , Ma Hongchuang , Tian Mengyun , Zhang Jie , Wang Yong , Li Zhenwei , Chen Xiaomin , Cui Hanbin 
Published: June 2023

Abstract—Atherosclerosis (AS) is the main cause of cerebrovascular diseases, and macrophages play important roles in atherosclerosis. DExH-Box helicase 9 (DHX9), as a member of DExD/H-box RNA helicase superfamily II, is identified as an autoantigen in the sera of systemic lupus erythematosus patients to trigger inflammation. The aim of this study was to investigate whether DHX9 is involved in AS development, especially in macrophages-mediated-inflammatory responses. We find that DHX9 expression is significantly increased in oxLDL or interferon-γ-treated macrophages and peripheral blood mononuclear cells (PBMCs) from patients with coronary artery disease (CAD). Knockdown of DHX9 inhibits lipid uptake and pro-inflammatory factors expression in macrophages, and ameliorates TNF-α-mediated monocyte adhesion capacity. Furthermore, we find that oxLDL stimulation promotes DHX9 interaction with p65 in macrophages, and further enhances the transcriptional activity of DHX9-p65-RNA Polymerase II complex to produce inflammatory factors. Moreover, using ApoE -/- mice fed with western diet to establish AS model, we find that knockdown of DHX9 mediated by adeno-associated virus-Sh-DHX9 through tail vein injection evidently alleviates AS progression in vivo. Finally, we also find that knockdown of DHX9 inhibits p65 activation, inflammatory factors expression, and the transcriptional activity of p65-RNA Polymerase II complex in PBMCs from patients with CAD. Overall, these results indicate that DHX9 promotes AS progression by enhancing inflammation in macrophages, and suggest DHX9 as a potential target for developing therapeutic drug.
A Longitudinal Mediation Analysis of the Interrelations among Exclusionary Immigration Policy, Ethnic Identity, and Self-Esteem of Latinx Early Adolescents
Authors: Cadiz Madonna P. , Santos Carlos E. , Tibbe Tristan D. 
Published: June 2023

AbstractLittle is known about how exclusionary immigration laws affect ethnic identity and self-esteem among Latinx middle school students. Arizona’s SB 1070, which required local officers to verify the legal status of detained individuals, garnered national attention for its impact on immigrant and Latinx communities. This study tested a longitudinal parallel multiple mediation model where perceptions of the effects of an exclusionary immigration law (Arizona’s SB 1070) on self-esteem were mediated by dimensions of ethnic identity (ethnic centrality, ethnic private regard, ethnic public regard). Data were collected from a two-wave survey of 891 early adolescents ranging in age from 10 to 14 years (M = 12.09 years; SD = 0.99), a majority (71%) of whom were of Mexican descent. Analyses revealed an indirect effect of T1 perceptions of this law on T2 self-esteem (7 months later), holding T1 measures constant, with T2 ethnic centrality, private regard, and public regard acting as mediators. Perceived effects of this exclusionary law led to increased self-esteem through increased dimensions of ethnic identity. Results reveal how ethnic identity functions as a multidimensional construct in the process through which exclusionary immigration policy may impact the self-esteem of Latinx early adolescents.
Seagrass meadow stability and composition influence carbon storage
Authors: Bijak Alexandra L. , Reynolds Laura K. , Smyth Ashley R. 
Published: June 2023

AbstractContextSeagrass ecosystems are lauded for storing organic carbon in underlying sediments, but storage is highly variable, even at relatively small spatial scales. While environmental setting and seagrass cover are known drivers of carbon storage capacity, it is unclear how other seagrass features such as species composition influence carbon storage, and whether historical vs. contemporary features are better predictors of storage.ObjectivesWe examined the influence of historical and contemporary seagrass variables on surface (0–10 cm) sediment organic carbon storage at the meadow-scale (~ 25 km2), in addition to the influence of environmental drivers. Our study area was located within a subtropical mixed-species seagrass meadow along a low-energy coastline in the northeastern Gulf of Mexico (Cedar Key, Florida, USA).MethodsWe derived historical metrics of seagrass cover and composition from 14-year seagrass monitoring datasets and measured surface sediment carbon densities and grain size, contemporary seagrass biomass and species composition, as well as environmental characteristics related to hydrology and physical disturbance (i.e., relative exposure, elevation, and distance to navigation channels). We assessed bivariate relationships between predictor variables and surface carbon densities with linear regression analyses and used path analysis to assess hypothesized relationships between a subset of predictor variables and carbon densities.ResultsWhile low relative to global values, surface carbon densities in Cedar Key seagrass meadows varied by an order of magnitude. Sediment grain size was strongly related to carbon densities, but environmental variables had only indirect effects on carbon densities. Historical seagrass cover, variability in cover, and species diversity were generally better predictors of storage than contemporary variables. Historical and contemporary species identity–specifically the presence ofThalassia testudinum–were also significant drivers of storage.ConclusionsIn Cedar Key, historically diverse and persistent seagrass meadows dominated by late-successional species contained the largest surface carbon stores. Our results highlight the importance of site history in terms of meadow stability (inversely measured as variability in cover) as well as species identity and diversity in enhancing surface carbon storage. The environmental variables we examined had comparatively weak effects on carbon densities, however, relative exposure and elevation may not be the most relevant hydrological drivers of carbon storage at the meadow scale. Together, these findings suggest that drivers of seagrass meadow carbon storage are context and scale dependent.
Metformin promotes ferroptosis and sensitivity to sorafenib in hepatocellular carcinoma cells via ATF4/STAT3
Authors: Hu Zongqiang , Zhao Yingpeng , Li Laibang , Jiang Jie , Li Wang , Mang Yuanyi , Gao Yang , Dong Yun , Zhu Jiashun , Yang Chaomin , Ran Jianghua , Li Li , Zhang Shengning 
Published: June 2023

Abstract
Background
Hepatocellular carcinoma (HCC) is a common cancer worldwide, and sorafenib is a first-line drug for the treatment of advanced liver cancer. Resistance to sorafenib has become a major challenge in the treatment of hepatocellular carcinoma, however, studies have shown that metformin can promote ferroptosis and sorafenib sensitivity. Therefore, the aim of this study was to investigate the promotion of ferroptosis and sorafenib sensitivity by metformin via ATF4/STAT3 in hepatocellular carcinoma cells.

Methods
Hepatocellular carcinoma cells Huh7 and Hep3B and induced sorafenib resistance (SR) Huh7/SR and Hep3B/SR cells were used as in vitro cell models. Cells were injected subcutaneously to establish a drug-resistant mouse model. CCK-8 was used to detect cell viability and sorafenib IC50. Western blotting was used to detect the expression of relevant proteins. BODIPY staining was used to analyze the lipid peroxidation level in cells. A scratch assay was used to detect cell migration. Transwell assays were used to detect cell invasion. Immunofluorescence was used to localize the expression of ATF4 and STAT3.

Results
Metformin promoted ferroptosis in hepatocellular carcinoma cells through ATF4/STAT3, decreased sorafenib IC50, increased ROS and lipid peroxidation levels, decreased cell migration and invasion, inhibited the expression of the drug-resistant proteins ABCG2 and P-GP in hepatocellular carcinoma cells, and thus inhibited sorafenib resistance in hepatocellular carcinoma cells. Downregulating ATF4 inhibited the phosphorylated nuclear translocation of STAT3, promoted ferroptosis, and increased the sensitivity of Huh7 cells to sorafenib. Metformin was also shown in animal models to promote ferroptosis and sorafenib sensitivity in vivo via ATF4/STAT3.

Conclusion
Metformin promotes ferroptosis and sensitivity to sorafenib in hepatocellular carcinoma cells via ATF4/STAT3, and it inhibits HCC progression.
Narratives of Externality, Oppression, and Agency: Perceptions of the Role of the Demonic in Mental Illness Among Evangelical Christians
Authors: Lloyd Christopher E. M. , Panagopoulos Maxinne C. 
Published: June 2023

AbstractAccounts of the demonic within the Christian tradition as causative in differing forms of illness and suffering can be traced back to the New Testament. Demonic accounts also exist more centrally in the language of spiritual warfare that pervades some evangelical groups. Contemporary research suggests that belief in the demonic as aetiologically culpable in mental illness has potentially stigmatising effects for those with mental illness and can also negatively impact help-seeking behaviours. However, no research has explored how evangelical groups which subscribe to belief in demonic entities represent the demonic and their relative role in relation to mental illness. This study explores perceptions of the demonic in relation to mental illness, with a sample of evangelical Christians who actively subscribe to belief in the demonic, by using the novel qualitative story completion task. A convenience sample of 43 evangelical Christians completed a third-person fictional story stem featuring a gender-neutral character (Alex) who encountered the demonic (in an ambiguous way) in relation to their mental health. A contextualist informed thematic analysis suggests that while mental ill health was often positioned as having a biopsychological cause, demonic activity was also frequently cited as exacerbating mental illness. Narrations of the demonic positioned Alex in either an active position, wherein they were responsible for their engagement with the occult and the subsequent onset of their mental illness (causative), or a passive position, wherein their pre-existing mental ill health made them vulnerable to demonic attack. In relation to recovery, storied data situated medical and spiritual interventions as effective. Significantly, participants positioned Alex’s Christian faith as a source of power over the demonic and over mental ill health – thus, despite demonic attacks, a sense of agency was often maintained. That the stories positioned demonic influence as external to the self, thereby maintaining a level of individual agency amidst suffering, highlights the potential limitations of assuming all demonic accounts are singularly stigmatising and negative in nature. Findings underline the need for future research to explore demonic accounts in religiously and culturally syntonic ways without imposing meaning.
Intensive and explicit derivational morphology training in school-aged children: an effective way to improve morphological awareness, spelling and reading?
Authors: Ardanouy Estelle , Zesiger Pascal , Delage Hélène 
Published: June 2023

AbstractMorphological awareness has been shown to contribute to the acquisition of literacy in various languages. The current study focuses on an explicit derivational morphology training program in French-speaking fourth graders with the aim of measuring direct effects on morphological awareness and transfer effects on spelling and reading. The intensive training given in class consisted of (1) learning how to segment words into smaller units and (2) understanding the meaning of affixes in relation to words. Thirty-six children received the morphology training and 34 age-matched participants followed an alternative visuo-semantic training matched for intensity. The results of this pre-post group comparison study show a significant Group by Time interaction: Substantial progress in morphological awareness is observed for the group trained in morphology, on both trained as well as on untrained items. A similar gain was observed for the spelling of morphologically derived words, for trained and untrained words. Both roots and affixes were spelled more accurately. For reading however, we found a learning effect in speed and accuracy on trained words, but no generalization to untrained words. All effects were maintained four months after training. These results highlight the role that morphology plays in children’s literacy development.
Improving the Efficiency of the Indoor Air Purification from Formaldehyde by Plants Colonized by Endophytic Bacteria Ochrobactrum sp.
Authors: Li Jian , Zhong Jiaochan , Chen Silan , Jia Yinjuan , Zhang Weichuan , Agranovski Igor 
Published: June 2023

Abstract

The endophytic bacteria can be in symbiosis with host plants, owing to the natural stability advantages in degrading pollutants. To explore the technological feasibility of this method for indoor formaldehyde removal, a system combining endophytic bacteria and plants was established. In the present study, highly efficient formaldehyde-degrading bacteria Ochrobactrumintermedium, named strain ZH-1, was successfully induced with antibiotics (rifampicin) to an antibiotic-labeled strain ZH-1R without microbial variation. The strain ZH-1R was then used for colonization in the Epipremnum aureum and Chlorophytum comosumf. variegate plants by three inoculation methods: root irrigation (RI), acupuncture injury to stem (AS), and acupuncture injury to leaves (AL). The results demonstrated that the acupuncture injury to stem (AS) method was the most effective for inoculating ZH-1R strain in Epipremnum aureum plants. Conversely, acupuncture injury to stem (RI) method yielded the best results for the Chlorophytum comosumf. variegate plants, highlighting the importance of usage of optimal plant specific inoculation method ensuring the highest possible performance characteristics of the biological system. The results of 8-day formaldehyde dynamic fumigation experiment demonstrated that the removal efficiency of the formaldehyde by Chlorophytum comosum f. variegata inoculated with ZH-1R was significantly higher than the one demonstrated by non-inoculated plants. The average increase of 20.17% was observed during daytime, while much more significant improvement by 62.88% was achieved at night. This implied that endophytic bacteria could not only effectively improve the removal efficiency of formaldehyde, but also increased the resistance of not-native host plants to formaldehyde toxicity, suggesting its potential in an integrated system which provides a new path of an efficient and economical approach to radically improve indoor air quality, especially at nighttime.
Contribution of the Chinese Meridian Project to space environment research: Highlights and perspectives
Authors: Wang Chi , Xu Jiyao , Liu Libo , Xue Xianghui , Zhang Qinghe , Hao Yongqiang , Chen Gang , Li Hui , Li Guozhu , Luo Bingxian , Zhu Yajun , Wang Jiangyan 
Published: June 2023

AbstractThe Chinese Meridian Project (CMP) is devoted to establishing a comprehensive ground-based monitoring network for China’s space weather research. CMP is a major national science and technology infrastructure project with the participation of more than 10 research institutions and universities led by the National Space Science Center of the Chinese Academy of Sciences. CMP is planned to be constructed in two phases: CMP phases I and II. The first phase (CMP-I) started construction in 2008 and completed in 2012, after which it entered the operation stage. The 10-year observation of CMP-I has made significant scientific discoveries and achievements in the research fields of the middle and upper atmospheric fluctuations, metal layers in the mesosphere and lower thermosphere, ionospheric disturbances and irregularities, geomagnetic disturbances, and influences of solar activity. The review summarizes the main observations and research achievements, space weather forecast modeling and methods based on CMP-I over the past 10 years, and presents a future extension perspective along with the construction of CMP-II.