bluuebunny/crossref_metadata_2025 huggingface dataset:
Sintering behavior of alumina whisker reinforced zirconia ceramics in hot oscillatory pressing
Authors: He Hongtian , Zhao Rui , Tian Hongyi , Shao Gang , Wang Hailong , Fan Bingbing , Lu Hongxia , Xu Hongliang , Zhang Rui , An Li-nan
Published: May 2022

Alumina whisker reinforced zirconia ceramic composite was prepared by both hot oscillatory pressing (HOP) and conventional hot pressing (HP). The results show that compared with HP, HOP can significantly increase the final density and densification rate of the material. Analysis of densification kinetics reveals that the predominant densification mechanism transits from grain boundary sliding in the beginning to the diffusion in the later stage. The main effect of the oscillating pressure is to increase the densification rate in the process of grain boundary sliding. The current study suggests that HOP is a promising technique for densifying whisker reinforced ceramics.
Survey on clothing image retrieval with cross-domain
Authors: Ning Chen , Di Yang , Menglu Li
Published: May 2022

The paper summarizes the research progress on critical region recognition and deep metric learning to achieve accurate clothing image retrieval in cross-domain situations. Critical region recognition is of great value for the clothing feature extraction, effectively improving retrieval accuracy. The accuracy will decrease when solving difficult samples with similar features but different categories. Nowadays, deep metric learning is an effective way to solve this problem, which utilizes the optimization of different loss functions and ensemble network to strengthen the discrimination of clothing features. Therefore, through comparison of the experimental results of different algorithms and analysis of the accuracy of cross-domain clothing retrieval, it is demonstrated that the improvement of the retrieval accuracy in the future mainly depends on clothing important feature extraction and clothing feature discrimination.
Amelioration of acidic soil using fly Ash for Mine Revegetation in Post-Mining Land
Authors: Hamanaka Akihiro , Sasaoka Takashi , Shimada Hideki , Matsumoto Shinji
Published: May 2022

This paper described the use of fly ash for soil amelioration of acidic soils to promote plant growth. In mining sites, acid sulfate soils/rocks, which contain sulfide minerals (e.g. pyrite FeS2), have appeared as a result of overburden excavation. The excessively acidic condition inhibits plant growth due to the dissolution of harmful elements, such as Al, Fe, and Mn. Fly ash, an alkaline byproduct of coal combustion generated in thermal power plants is expected to be adopted to ameliorate acidic soils. However, the mixing ratio of fly ash must be considered because excessive addition of fly ash can have a negative impact on plant growth due to its physical/chemical properties. The pot trials using Acacia mangium demonstrate the evolution of plant growth with a 5%–10% addition of fly ash into acidic soil. When the acidic soil has a high potential for metal dissolution, the metal ions leached from the acidic soil are large, making it difficult to improve plant growth due to osmotic and ionic stress. This work suggests that the effects of fly ash on metal ions leached from the soil have to be considered for the amelioration of acidic soil.
“Test-As-You-Go” for Hot Spots Policing: Continuous Impact Assessment with Repeat Crossover Designs
Authors: Sherman Lawrence W.
Published: May 2022

Hot spots policing is rapidly changing its evidence-base. Instead of producing more results of one-off, conventional experiments that provide an evidence-base across police agencies (Braga et al., (Campbell Systematic Reviews, 15(3), 2019), hot spots policing (HSP) experiments in the UK are now providing continuous impact assessment (CIA) within police agencies, and within each hot spot. This new mission for experiments entails a change in research design, from the conventionally fixed assignment of each hot spot to a single treatment (in what is technically called a “parallel-track” design) to alternating treatments for each hot spot (in what is known as a “repeat crossover” design). Crossover design experiments are designed for an “on”-days-versus- “off”-days, “test-as-you-go” operating model, using test results in each hot spot for immediate operational feedback to improve performance. This feature can empower police supervisors with compelling evidence for officers about their impact on crime in recent weeks.

This approach has great promise, but it also has a great threat. The promise is for integrating evidence more tightly with daily police operations. The threat is that crossover tests may underestimate the true benefits of HSP because they ignore the lingering, “residual deterrence” effects of HSP “on” days continuing into “off” days without HSP. That “carryover” effect of HSP in prior days may take up to 4 days to “wash out” (Barnes et al., 2020). Until it does, crime during HSP “off” days may be lower than if there had been no recent HSP “on” days, thus making HSP look less effective than it truly is.

This problem is purely a matter of what analysts do, rather than what police officers do. As long as the officers deliver on their assigned tasks of which hot spots to patrol when, both research designs can have validity. But the problem of how to analyze the effects of these patrols is up to the analysts to solve. If the analysts handle the problem by deleting a certain number of days in between treatment changes for each hot spot—technically known as a “washout” period—they will provide valid impact assessments of HSP. More important, they can do that with a design that requires no long-term denial of service to large numbers of hot spots assigned to a control group, as in traditional random assignment to parallel tracks of treatment vs. control (e.g., Sherman & Weisburd, (Justice Quarterly, 625–648, 1995)).

Repeat crossover trials are therefore an excellent improvement over parallel-track trials, subject to omitting crime measures from the washout period for eliminating carryover effects during crossover periods from one treatment condition to another. The following discussion shows how analysts and police leaders can use and implement crossover designs with high internal validity, without biased measures of crime on control days.
Myokine Response to Blood-Flow Restricted Resistance Exercise in Younger and Older Males in an Untrained and Resistance-Trained State: A Pilot Study
Authors: Cordingley Dean M. , Anderson Judy E. , Cornish Stephen M.
Published: May 2022

Purpose

The purpose of this study was to examine the response of myokines to blood-flow restricted resistance-exercise (BFR-RE) in younger and older males before and after completing a 12-week resistance-training program.

Methods

There were 8 younger (24.8 ± 3.9 yrs) and 7 older (68.3 ± 5.0 yrs) untrained male participants completed this study. Anthropometric and maximal strength (1RM) measurements were collected before and after a 12-week, supervised, progressive full-body resistance-training program. As well, an acute bout of full-body BFR-RE was performed with venipuncture blood samples collected before and immediately following the BFR-RE, followed by sampling at 3, 6, 24 and 48 h.

Results

The 12-week training program stimulated a 32.2% increase in average strength and 30% increase in strength per kg of fat free mass. The response of particular myokines to the acute bout of BFR-RE was influenced training status (IL-4, untrained = 78.1 ± 133.2 pg/mL vs. trained = 59.8 ± 121.6 pg/mL, P = 0.019; IL-7, untrained = 3.46 ± 1.8 pg/mL vs. trained = 2.66 ± 1.3 pg/mL, P = 0.047) or both training and age (irisin, P = 0.04; leukemia inhibitory factor, P < 0.001). As well, changes in strength per kg of fat free mass were correlated with area under the curve for IL-4 (r = 0.537; P = 0.039), IL-6 (r = 0. 525; P = 0.044) and LIF (r = − 0.548; P = 0.035) in the untrained condition.

Conclusion

This study identified that both age and training status influence the myokine response to an acute bout of BFR-RE with the release of IL-4, IL-6 and LIF in the untrained state being associated with changes in strength per kg of fat free mass.
Circular Economy and Supply Chains: Definitions, Conceptualizations, and Research Agenda of the Circular Supply Chain Framework
Authors: Montag Laura
Published: May 2022

Objective

Circular supply chain management (CSCM) incorporates circular thinking — based on the circular economy paradigm — into supply chain management. In the last 5 years, this emerging research field has developed at a rapid pace and, as a result, has attracted great interest from researchers, policy-makers, and practitioners. As there are few studies on the theoretical conceptualization of the circular supply chain (CSC), especially on its definition, this paper aims to fill this gap and to provide conceptual transparency for the CSC framework. The main research question is “What are the current understandings among scholars of the CSC concept and CSCM framework?”.

Method

To answer this question, a systematic literature review was conducted based on the Web of Science and Scopus databases. This was followed by a bibliometric analysis using VOSviewer and a comprehensive content analysis of the literature.

Results

The bibliometric analysis provided an overview of CSC evolution and identified three temporal, thematic clusters. The content analysis identified 127 articles that explicitly mention the term CSC(M). Of these, seventeen articles provide explicit definitions that were thoroughly analyzed and categorized. Following this, six archetypal elements of the CSC and four propositions on the CSC’s uniqueness were formulated.

Conclusion

The CSC research field is evolving rapidly. Its differentiation from other sustainability-related fields is sometimes not clear, and definitions and conceptualizations vary in detail, scope, and focus.

Contributions

This study contributes to the CSC literature and provides transparency for the conceptualization and understanding of CSC. For both theory and practice, an agenda for future research opportunities is identified, which supports the further development of this research field.
The Japanese and German Economies in the 20th and 21st Centuries
Authors: Akira Kudō
Published: May 2022

Supported by a number of high-profile case studies, this volume offers a comprehensive exploration of Japanese-German economic relations through the whole of the twentieth and beginning of the twenty-first centuries. It also offers clarification on the structure and processes of the world economy in the same period. Drawing on both unpublished discussion papers as well as previously published essays, the reader will find much of interest in the wide-ranging scholarship contained in this work, structured as follows: Part I, Japanese-German Business Relations; Part II, Trajectory of Japanese-German Business Relations; Part III, The Japanese and European Business and Economies. A Foreword by Yuzawa Takeshi, Professor Emeritus, Gakushuin University, Tokyo, evaluates the relevance and significance of Professor Kudo's lifetime research and scholarship in the context of German-Japanese relations.
Thought Experiments, Semantic Intuitions and the Overlooked Interpretative Procedure
Authors: Sękowski Krzysztof
Published: May 2022

In the paper I introduce and discuss the interpretative procedure; a stage of investigation in thought experiments in which it is determined which states of affairs are genuine realizations of the described story. I show how incorporating the interpretative procedure to the reconstruction of a certain kind of thought experiments, i.e., the method of cases, provides a solution to the so-called problem of deviant realizations. According to this problem it is hard to formulate the logical structure of the method of cases that excludes far-fetched interpretations of a particular thought experiment's description that are inconsistent with the expected conclusion of the experiment. As I show, if we agree that the interpretative procedure precedes the act of establishing whether the thing which is at issue (e.g., knowledge) appears within a certain state of affairs, deviant realizations could be ruled out, since within interpretative procedure we establish the set of states of affairs that are compatible with the intentions of the author of the thought experiment. In the paper I provide a general explanation of how this task could be fulfilled by semantic intuitions and discuss their contextual dependence.
Equilibrated crater: fragmentation and mixing
Authors: Villermaux E.
Published: May 2022

The composition of the Earth's mantle, built by impacts of metallic core planetesimals, depends on the time offered to metal–silicate equilibration (concentration equalization by mixing) as the impactor fragments settle down. Smaller fragments equilibrate while bigger ones remain segregated and accumulate in the – therefore iron rich – Earth's core. To understand the primary instability setting the interpenetration depth and wavelength between the impactor and the mantle, Lherm et al. (J. Fluid Mech., vol. 937, 2022, A20) analyse the intermingled phenomena occurring when a drop impacts a substrate of a pool of another liquid, digging a crater. The density difference between the phases triggers a Rayleigh–Taylor instability when the drop is denser than the pool. The overall planet chemical composition relies on a tradeoff between fragmentation and mixing; this study provides elements to decipher their relative importance.
Bottom wall shear stress fluctuations in shallow-water Langmuir turbulence
Authors: Deng Bing-Qing , Yang Zixuan , Shen Lian
Published: May 2022

In neutrally stratified shallow water, full-depth Langmuir cells (LCs) can interact with the turbulent benthic boundary layer and, thus, influence bottom wall shear stresses. In this paper the impacts of full-depth LCs on the streamwise and spanwise wall shear stresses are systematically studied using the database obtained from wall-resolved large-eddy simulation of shallow-water Langmuir turbulence. Analyses focus on the instantaneous wall shear stress fluctuations and the joint probability density functions between the stress fluctuations and the LCs parts of the velocity fluctuations, which show that the linear superimposition effect and nonlinear modulation effect of LCs are responsible for the spanwise organized distribution of wall shear stress fluctuations. Compared with the statistics in pure shear-driven turbulence without LCs, the mean square values of wall shear stress fluctuations in shallow-water Langmuir turbulence are enhanced by the strong linear superimposition effect of LCs, while the skewness and kurtosis are reduced by the combination of the linear superimposition effect and nonlinear modulation effect of LCs. Based on the scalings of these effects, a new predictive model of wall shear stress fluctuations is proposed for shallow-water Langmuir turbulence. The proposed model can predict the spatial distribution and statistics of wall shear stress fluctuations using the LCs parts of velocity fluctuations measured above the water bottom. Owing to the persistence of the spanwise inhomogeneity of wall shear stresses induced by full-depth LCs, the new predictive model will be useful for improving the wall-layer modelling for shallow-water Langmuir turbulent flows.
El caracol terrestreMegalobulimusen contextos funerarios de San Pedro de Atacama (Chile) y su rol en el intercambio ritual circumpuneño (400-1400 dC)
Authors: Horta Tricallotis Helena , Gordillo Sandra , Yáñez Javier
Published: May 2022

El caracol terrestreMegalobulimusspp. ha sido registrado con gran frecuencia en cementerios prehispánicos de los oasis de San Pedro de Atacama, Chile, a pesar de su carácter ajeno al entorno desértico de esta región. Efectivamente, su hábitat se encuentra en el ambiente húmedo y tropical del noroeste de Argentina, por lo cual es señalado en la literatura arqueológica como indicador del intercambio de larga distancia, y que su función habría sido contener pigmentos colorantes. En este estudio multidisciplinario analizamos su presencia desde los contextos funerarios mismos, complementándolo con el análisis taxonómico de ejemplares arqueológicos y la revisión de datos biológicos-etológicos de dicho gasterópodo. Con ello presentamos datos inéditos respecto de la utilización deMegalobulimusen Atacama, brindando al mismo tiempo nueva información acerca de su vínculo con la práctica inhalatoria de sustancias sicoactivas. Concluimos que el significado simbólico del caracol podría vincularse a la renovación vital por medio del agua fertilizadora de la tierra, y que de ahí surgiría el interés por convertirlo en contenedor de sustancias pigmentarias, carbonáticas y/o alucinógenas. Así, dicho carácter simbólico permitiría explicar el rol que jugó el caracolMegalobulimusen las redes de intercambio ritual del área circumpuneña, y por extensión, en los Andes centro-sur.
PARCHMENT, PRINT AND PAINT: THE DISSEMINATION OF THE CECIL GENEALOGY
Authors: Moll Richard J
Published: May 2022

William Cecil’s interests in heraldry and genealogy, and his particular concern for the antiquity of his own pedigree, are well known, but it is often presented as a personal hobby. This paper explores the means by which William Cecil used printed heraldic treatises, kings of arms and even domestic decoration to make his private genealogical research public. Rather than using genealogical study as a refuge from the world, Cecil actively used print, the office of arms and architecture to publicise his pedigree far more widely than other new men who sought the legitimacy of antiquity.
The only thing that can stop bad causal inference is good causal inference
Authors: Rohrer Julia M. , Schmukle Stefan C. , McElreath Richard
Published: May 2022

In psychology, causal inference – both the transport from lab estimates to the real world and estimation on the basis of observational data – is often pursued in a casual manner. Underlying assumptions remain unarticulated; potential pitfalls are compiled in post-hoc lists of flaws. The field should move on to coherent frameworks of causal inference and generalizability that have been developed elsewhere.
The call for ecological validity is right but missing perceptual idiosyncrasies is wrong
Authors: Qu-Lee Jennie , Balcetis Emily
Published: May 2022

Although psychology has long professed that perception predicts action, the strength of the evidence supporting the statement depends on the ecological validity of the technologies and paradigms used, particularly those that track eye movements, supporting Cesario's argument. While right to call for ecological validity, Cesario's model fails to account for individual differences in visual experience perceivers have when presented with the same stimulus.
Management of post-operative ventilator dependency in an operated case of tetralogy of Fallot with absent pulmonary valve: a team approach involving cardiac surgeon, cardiologist, intensivist, and radiologist
Authors: Pota Abhay , Biyani Garima , Misri Amit
Published: May 2022

Tetralogy of Fallot with absent pulmonary valve syndrome is commonly associated with trachea-bronchial anomalies, possibly due to airway compression caused by massively dilated pulmonary arteries secondary to severe pulmonary regurgitation. This airway obstruction may persist post-operatively also. We report a case of an infant who required a series of management strategies including bronchial stenting to manage his obstructive symptoms.
Major aortopulmonary collateral arteries in association with atrioventricular septal defect with balanced ventricles and trisomy 21
Authors: Makkar Nupur N. , Raymundo Stephanie A. , Gallotti Roberto G.
Published: May 2022

A major aortopulmonary collateral artery is a rare and easily missed diagnosis that is usually associated with Tetralogy of Fallot or pulmonary atresia. We present two cases of major aortopulmonary collaterals associated with trisomy 21 and atrioventricular septal defect with balanced ventricles in which the diagnosis went undetected until after initial cardiac repair.
Turkish abstractive text summarization using pretrained sequence-to-sequence models
Authors: Baykara Batuhan , Güngör Tunga
Published: May 2022

The tremendous amount of increase in the number of documents available on the Web has turned finding the relevant piece of information into a challenging, tedious, and time-consuming activity. Accordingly, automatic text summarization has become an important field of study by gaining significant attention from the researchers. Lately, with the advances in deep learning, neural abstractive text summarization with sequence-to-sequence (Seq2Seq) models has gained popularity. There have been many improvements in these models such as the use of pretrained language models (e.g., GPT, BERT, and XLM) and pretrained Seq2Seq models (e.g., BART and T5). These improvements have addressed certain shortcomings in neural summarization and have improved upon challenges such as saliency, fluency, and semantics which enable generating higher quality summaries. Unfortunately, these research attempts were mostly limited to the English language. Monolingual BERT models and multilingual pretrained Seq2Seq models have been released recently providing the opportunity to utilize such state-of-the-art models in low-resource languages such as Turkish. In this study, we make use of pretrained Seq2Seq models and obtain state-of-the-art results on the two large-scale Turkish datasets, TR-News and MLSum, for the text summarization task. Then, we utilize the title information in the datasets and establish hard baselines for the title generation task on both datasets. We show that the input to the models has a substantial amount of importance for the success of such tasks. Additionally, we provide extensive analysis of the models including cross-dataset evaluations, various text generation options, and the effect of preprocessing in ROUGE evaluations for Turkish. It is shown that the monolingual BERT models outperform the multilingual BERT models on all tasks across all the datasets. Lastly, qualitative evaluations of the generated summaries and titles of the models are provided.
Numerical Simulation of Thaw Settlement and Permafrost Changes at Three Sites Along the Qinghai‐Tibet Engineering Corridor in a Warming Climate
Authors: Sun Zhe , Zhao Lin , Hu Guojie , Zhou Huayun , Liu Shibo , Qiao Yongping , Du Erji , Zou Defu , Xie Changwei
Published: May 2022

Thaw settlement caused by permafrost degradation has great impacts on engineering infrastructure, hydrological cycles and ecosystems in recent decades under climate warming. We combined the moving‐grid method (Lagrangian method) with the heat conduction equation to develop a new moving‐grid permafrost model. Our model takes into account not only the cryostratigraphy of permafrost, but also the thaw settlement. We used the model to simulate the thaw settlement and the permafrost changes at the three sites along the Qinghai‐Tibet Engineering Corridor from 1966 to 2018. The monitoring of the ground temperature and the geodetic leveling in situ were used for model validation. The results show that our model can accurately reproduce the observed interannual thaw settlement and ground temperature fields. The risk of thawing settlement in ice‐rich permafrost regions in the zero‐temperature‐gradient stage is high.
Particle Sorting in Scree Slopes: Characterization and Interpretation From the Micromechanical Perspective
Authors: Dai Bei‐Bing , Wu Fan‐Yu , Zhong Wei‐Tao , Shi Yi‐Hao , Qin Jin‐Tao , Yang Jia‐Jun , Yang Jun
Published: May 2022

Particle sorting is one of the most interesting phenomena observed in the formation of scree slopes. We present a study of this phenomenon through physical model tests and numerical simulations at the grain scale, with a focus on the link between the degree of sorting and particle attributes, as well as the underlying mechanisms. By characterizing the degree of sorting with the graphic segregation index, we show that the degree of sorting increases as the difference in particle size and shape between the component materials of the deposited mixture increases. We propose two factors, the relative size factor (SFr) and relative shape factor (ORr), and show that the degree of sorting increases with the absolute values of these two factors (|SFr| and |ORr|). By monitoring the motions of tracer particles in the numerical simulations, we found that particle migration proceeds in a periodical mode of "collision/friction ⇌ regaining ⇌ collision/friction." Also, we performed energy analyses, revealing that relatively large and rounded particles tend to have a lower rate of kinetic energy dissipation, migrate at a higher velocity over a longer period of time, and have a larger migration distance. In addition, we define a relative kinetic energy dissipation rate |Dk_r| and find that it is positively correlated with |SFr| and |ORr|; the discrepancy in particle size and shape between the component materials is responsible for the difference in their kinetic energy dissipation rates, and it is the latter that determines their migration distance difference and sorting features.
Intra‐Specific Variability in Plant Hydraulic Parameters Inferred From Model Inversion of Sap Flux Data
Authors: Lu Yaojie , Sloan Brandon , Thompson Sally E. , Konings Alexandra G. , Bohrer Gil , Matheny Ashley , Feng Xue
Published: May 2022

Understanding plant hydraulic regulation is critical for predicting plant and ecosystem responses to projected increases in drought stress. Plant hydraulic regulation is controlled by observable, diverse plant hydraulic traits that can vary as much across individuals of the same species as they do across different species. Direct measurements of plant hydraulic traits from a range of ecosystems remain limited in comparison to other, more readily measured traits (e.g., specific leaf area). Furthermore, plant hydraulic trait measurements, often made at leaf or branch levels, are not easily scaled to whole‐plant values that are typically used to predict plant and ecosystem fluxes. In this study, multiple whole‐plant hydraulic parameters are inferred from observations of plant water use (i.e., sap flow), soil properties, and meteorological data. We use a Markov Chain Monte Carlo model inversion approach to obtain the best estimates and uncertainty of plant hydraulic parameters that capture whole‐plant effective embolism resistance and stomatal sensitivity to decreasing plant water potential. We then use the inferred values in the model to estimate whole‐tree water use and isohydricity. This approach reliably infers whole‐plant parameter values with enough specificity to resolve inter‐ and intra‐specific differences, and thus supplements time‐ and labor‐intensive direct measurements of traits.
Impact of Coastal Marsh Eco‐Geomorphologic Change on Saltwater Intrusion Under Future Sea Level Rise
Authors: Zhang Yu , Svyatsky Daniil , Rowland Joel C. , Moulton J. David , Cao Zhendong , Wolfram Phillip J. , Xu Chonggang , Pasqualini Donatella
Published: May 2022

Coastal saltwater intrusion (SWI) is one key factor that affects the hydrology, ecology, and biogeochemistry of coastal ecosystems. Future climate change, especially intensified sea level rise (SLR), is expected to trigger SWI to encroach on coastal freshwater aquifers more intensively. Numerous studies have investigated decadal/century scale SWI under SLR by assuming a static coastal landscape topography. However, coastal landscapes are highly dynamic in response to SLR, and the impact of coastal landscape evolution on SWI has received very little attention. Thus, this study used a coastal marsh landscape as an example and investigated how coastal marsh evolution affects future SWI with a physically‐based coastal hydro‐eco‐geomorphologic model, Advanced Terrestrial Simulator. Our numerical experiments showed that it is very likely that the marsh elevation increases with future SLR due to sediment deposition, and a depression zone is formed due to different marsh accretion rates between the ocean boundary and the inland. We found that marsh accretion may significantly reduce the surface saltwater inflow at the ocean boundary, and the evolved topographic depression zone may prolong the residence time of surface ponded saltwater, affecting subsurface salinity distribution differently. We also predicted that marshlands may become more sensitive to upland freshwater supply under future SLR, compared with previous predictions without marsh evolution. This study demonstrates the importance of coastal evolution to coastal freshwater‐saltwater interaction. The eco‐geomorphologic effect may not be ignored when evaluating coastal SWI under SLR at decadal or century scales.
From Dynamic Groundwater Level Measurements to Regional Aquifer Parameters— Assessing the Power of Spectral Analysis
Authors: Houben Timo , Pujades Estanislao , Kalbacher Thomas , Dietrich Peter , Attinger Sabine
Published: May 2022

Large‐scale groundwater models are required to estimate groundwater availability and to inform water management strategies on the national scale. However, parameterization of large‐scale groundwater models covering areas of major river basins and more is challenging due to the lack of observational data and the mismatch between the scales of modeling and measurements. In this work, we propose to bridge the scale gap and derive regional hydraulic parameters by spectral analysis of groundwater level fluctuations. We hypothesize that specific locations in aquifers can reveal regional parameters of the hydraulic system. We first generate ensembles of synthetic but realistic aquifers which systematically differ in complexity. Applying Liang and Zhang’s (2013), https://doi.org/10.1016/j.jhydrol.2012.11.044, semi‐analytical solution for the spectrum of hydraulic head time series, we identify for each ensemble member and at different locations representative aquifer parameters. Next, we extend our study to investigate the use of spectral analysis in more complex numerical models and in real settings. Our analyses indicate that the variance of inferred effective transmissivity and storativity values for stochastic aquifer ensembles is small for observation points which are far away from the Dirichlet boundary. Moreover, the head time series has to cover a period which is roughly 10 times as long as the characteristic time of the aquifer. In deterministic aquifer models we infer equivalent, regionally valid parameters. A sensitivity analysis further reveals that as long as the aquifer length and the position of the groundwater measurement location is roughly known, the parameters can be robustly estimated.
Wildfire, Drought, and Insects Threaten Forests in the United States
Authors: Pardikar Rishika
Published: May 2022

Western forest managers face a catch-22: They can keep carbon sequestered in trees by reducing controlled burns, but that creates denser forests at greater risk of going up in uncontrolled flames.
Variability of ENSO Forecast Skill in 2‐Year Global Reforecasts Over the 20th Century
Authors: Weisheimer Antje , Balmaseda Magdalena A. , Stockdale Tim N. , Mayer Michael , Sharmila S. , Hendon Harry , Alves Oscar
Published: May 2022

In order to explore temporal changes of predictability of El Niño Southern Oscillation (ENSO), a novel set of global biennial climate reforecasts for the historical period 1901–2010 has been generated using a modern initialized coupled forecasting system. We find distinct periods of enhanced long‐range skill at the beginning and at the end of the twentieth century, and an extended multi‐decadal epoch of reduced skill during the 1930s–1950s. Once the forecast skill extends beyond the first spring barrier, the predictability limit is much enhanced and our results provide support for the feasibility of skillful ENSO forecasts up to 18 months. Changes in the mean state, variability (amplitude), persistence, seasonal cycle and predictability suggest that multi‐decadal variations in the dynamical characteristics of ENSO rather than the data coverage and quality of the observations have primarily driven the reported non‐monotonic skill modulations.
Enhanced Photosynthesis and Transpiration in an Old Growth Forest Due To Wildfire Smoke
Authors: Rastogi Bharat , Schmidt Andres , Berkelhammer Max , Noone David , Meinzer Frederick C. , Kim John , Still Christopher J.
Published: May 2022

We document the response of a 2 day wildfire smoke event on a moist temperate coniferous old‐growth forest in the western U.S. Wildfire smoke increased air temperature and suppressed relative humidity and total incoming radiation. Despite these conditions a ∼10% increase in ecosystem photosynthesis was observed. This was explained by a large increase (41%) in ecosystem‐scale stomatal conductance, inferred from measurements of carbonyl sulfide. Increased stomatal conductance contradicts expected stomatal closure at high vapor pressure deficit and was likely caused by an increase in diffuse light and thus shade leaf insolation. Higher ecosystem productivity and transpiration were linked to a greater drawdown of soil moisture. Ecosystem‐scale measurements across a diverse range of ecosystems are needed to better understand the canopy response to wildfire smoke, which is an increasingly common phenomenon across large parts of the world, including the forests of western North America.
Imprint of the Continental Strike‐Slip Fault Geometrical Structure in Geophysical Data
Authors: Klinger Yann
Published: May 2022

The geometry of continental fault systems, and more specifically the spatial organization of faults, is a central topic to understand how earthquake ruptures start, propagate, and stop. By exploring the origin of unexpected high frequency emission during earthquakes, Chu et al. (2021), (https://doi.org/10.1029/2021GL095271) show that the most likely source for these emissions is the interaction between nearby misaligned faults. Thus, this result emphasizes the discrete nature of the strike‐slip fault segments at seismogenic crustal scale, adding to a set of evidence for spatially structured fault systems drawn from independent observations in geophysics and geology. This observation should bring some new constrains to earthquake rupture scenario by limiting the range of possible ruptures included in these models.
An Eastward Current Encircling Mercury
Authors: Shi Z. , Rong Z. J. , Fatemi S. , Slavin J. A. , Klinger L. , Dong C. , Wang L. , Zhong J. , Raines J. M. , Holmström M. , Yuan C. J. , Barabash S. , Wei Y.
Published: May 2022

Mercury has a terrestrial‐like magnetosphere which is usually taken as a scaled‐down‐version of Earth's magnetosphere with a similar current system. We examine Mercury's magnetospheric current system based on a survey of Mercury's magnetic field measured by the Mercury Surface, Space Environment, Geochemistry, and Ranging spacecraft as well as computer simulations. We show that there is no significant Earth‐like ring current flowing westward around Mercury, instead, we find, for the first time, an eastward current (EC) encircling the planet near the night‐side magnetic equator with an altitude of ∼500–1,000 km. The EC is closed with the dayside magnetopause current and could be driven by the gradient of plasma pressure as a diamagnetic current. Thus, Mercury's magnetosphere is not a scaled‐down Earth magnetosphere, but a unique natural space plasma laboratory. Our findings offer fresh insights to analyze data from the BepiColombo mission, which is expected to orbit Mercury in 2025.
Deciphering the Migration of the Intertropical Convergence Zone During the Last Deglaciation
Authors: Li Shouwei , Liu Wei
Published: May 2022

Proxy evidences suggest abrupt southward displacements of the intertropical convergence zone (ITCZ) during Heinrich Stadial 1 (HS1) and Younger Dryas (YD) against a long‐term trend of northward ITCZ migration from Last Glacial Maximum to modern climate. Climate model simulations reveal that the abrupt ITCZ changes in HS1 and YD are mainly driven by ice‐sheet‐induced meltwater while the long‐term ITCZ trend primarily results from orbital variations, rising atmospheric greenhouse gases and ice‐sheet retreats during the last deglaciation. Atmospheric energetics analysis elucidates two important processes driven by meltwater—less net radiation entering the top‐of‐atmosphere (TOA) in the Northern Hemisphere than the Southern Hemisphere and a reduced global cross‐equatorial oceanic heat transport from the compensation between Atlantic and Indo‐Pacific heat transports—induce the southward ITCZ shift during HS1. Ice sheet extent changes also create a large interhemispheric TOA radiation asymmetry during HS1, which, however, is not via the surface albedo feedback.
An all optical approach for comprehensive in-operando analysis of radiative and nonradiative recombination processes in GaAs double heterostructures
Authors: Zhang Fan , Castaneda Jose F. , Gfroerer Timothy H. , Friedman Daniel , Zhang Yong-Hang , Wanlass Mark W. , Zhang Yong
Published: May 2022

We demonstrate an all optical approach that can surprisingly offer the possibility of yielding much more information than one would expect, pertinent to the carrier recombination dynamics via both radiative and nonradiative processes when only one dominant deep defect level is present in a semiconductor material. By applying a band-defect state coupling model that explicitly treats the inter-band radiative recombination and Shockley–Read–Hall (SRH) recombination via the deep defect states on an equal footing for any defect center occupation fraction, and analyzing photoluminescence (PL) as a function of excitation density over a wide range of the excitation density (e.g., 5–6 orders in magnitude), in conjunction with Raman measurements of the LO-phonon plasmon (LOPP) coupled mode, nearly all of the key parameters relevant to the recombination processes can be obtained. They include internal quantum efficiency (IQE), minority and majority carrier density, inter-band radiative recombination rate (Wr), minority carrier nonradiative recombination rate (Wnr), defect center occupation fraction (f), defect center density (Nt), and minority and majority carrier capture cross-sections (σt and σtM). While some of this information is thought to be obtainable optically, such as IQE and the Wr/Wnr ratio, most of the other parameters are generally considered to be attainable only through electrical techniques, such as current-voltage (I-V) characteristics and deep level transient spectroscopy (DLTS). Following a procedure developed herein, this approach has been successfully applied to three GaAs double-heterostructures that exhibit two distinctly different nonradiative recombination characteristics. The method greatly enhances the usefulness of the simple PL technique to an unprecedented level, facilitating comprehensive material and device characterization without the need for any device processing.
TARBP2-stablized SNHG7 regulates blood-brain barrier permeability by acting as a competing endogenous RNA to miR-17-5p/NFATC3 in Aβ-microenvironment
Authors: Ning Hao , Zhang Lu , Zhu Baicheng , Zhou Xinxin , Zhang Tianyuan , Ma Teng
Published: May 2022

Breakdown of blood-brain barrier (BBB) is recognized as serious pathological marker of Alzheimer’s disease development. Studies confirmed that β-amyloid (Aβ) deposition induced high BBB permeability by disrupting tight junction (TJ) proteins formed from endothelial cells (ECs). Here, we found TARBP2, SNHG7 and NFATC3 in expressions were increased and miR-17-5p expression was decreased in Aβ(1-42)-incubated ECs. Overexpression of TARBP2, SNHG7 and NFATC3 elevated BBB permeability and knockdown of them had converse results. Agomir-17-5p decreased BBB permeability and antagomir-17-5p increased BBB permeability. TARBP2 as a RNA-binding protein (RBP) bound to SNHG7 and resulted in longer half-life of SNHG7. The decreased expression of miR-17-5p had a negative post-transcriptional regulation to NFATC3, leading to the increased expression of NFATC3. In addition, SNHG7 regulated NFATC3 expression by acting as a molecule sponge targeting to miR-17-5p. NFATC3 inhibited TJ proteins expression by functioning as a transcription factor. TARBP2/SNHG7/miR-17-5p/NFATC3 pathway implied a potential mechanism in studies of BBB changes in AD pathological progression.
Individually addressable and flexible pressure sensor matrixes with ZnO nanotube arrays on graphene
Authors: Park Junbeom , Ghosh Ramesh , Song Minho S. , Hwang Yunjae , Tchoe Youngbin , Saroj Rajendra Kumar , Ali Asad , Guha Puspendu , Kim Bosung , Kim Sang-Woo , Kim Miyoung , Yi Gyu-Chul
Published: May 2022

We report the fabrication of individually addressable, high-density, vertical zinc oxide (ZnO) nanotube pressure sensor arrays. High-sensitivity and flexible piezoelectric sensors were fabricated using dimension- and position-controlled, vertical, and free-standing ZnO nanotubes on a graphene substrate. Significant pressure/force responses were achieved from small devices composed of only single, 3 × 3, 5 × 5, and 250 × 250 ZnO nanotube arrays on graphene. An individually addressable pixel matrix was fabricated by arranging the top and bottom electrodes of the sensors in a crossbar configuration. We investigated the uniformity and robustness of pressure/force spatial mapping by considering the pixel size, the number of ZnO nanotubes in each pixel, and the lateral dimensions of individual ZnO nanotubes. A spatial resolution as high as 1058 dpi was achieved for a Schottky diode-based force/pressure sensor composed of ZnO nanotubes on a flexible substrate. Additionally, we confirmed the excellent flexibility and electrical robustness of the free-standing sensor arrays for high-resolution tactile imaging. We believe that this work opens important opportunities for 1D piezoelectric pressure/force sensor arrays with enormous applications in human-electronics interfaces, smart skin, and micro- and nanoelectromechanical systems.
On the origins of conductive pulse sensing inside a nanopore
Authors: Lastra Lauren S. , Bandara Y. M. Nuwan D. Y. , Nguyen Michelle , Farajpour Nasim , Freedman Kevin J.
Published: May 2022

Nanopore sensing is nearly synonymous with resistive pulse sensing due to the characteristic occlusion of ions during pore occupancy, particularly at high salt concentrations. Contrarily, conductive pulses are observed under low salt conditions wherein electroosmotic flow is significant. Most literature reports counterions as the dominant mechanism of conductive events (a molecule-centric theory). However, the counterion theory does not fit well with conductive events occurring via net neutral-charged protein translocation, prompting further investigation into translocation mechanics. Herein, we demonstrate theory and experiments underpinning the translocation mechanism (i.e., electroosmosis or electrophoresis), pulse direction (i.e., conductive or resistive) and shape (e.g., monophasic or biphasic) through fine control of chemical, physical, and electronic parameters. Results from these studies predict strong electroosmosis plays a role in driving DNA events and generating conductive events due to polarization effects (i.e., a pore-centric theory).
Microbial functional changes mark irreversible course of Tibetan grassland degradation
Authors: Breidenbach Andreas , Schleuss Per-Marten , Liu Shibin , Schneider Dominik , Dippold Michaela A. , de la Haye Tilman , Miehe Georg , Heitkamp Felix , Seeber Elke , Mason-Jones Kyle , Xu Xingliang , Huanming Yang , Xu Jianchu , Dorji Tsechoe , Gube Matthias , Norf Helge , Meier Jutta , Guggenberger Georg , Kuzyakov Yakov , Spielvogel Sandra
Published: May 2022

The Tibetan Plateau’s Kobresia pastures store 2.5% of the world’s soil organic carbon (SOC). Climate change and overgrazing render their topsoils vulnerable to degradation, with SOC stocks declining by 42% and nitrogen (N) by 33% at severely degraded sites. We resolved these losses into erosion accounting for two-thirds, and decreased carbon (C) input and increased SOC mineralization accounting for the other third, and confirmed these results by comparison with a meta-analysis of 594 observations. The microbial community responded to the degradation through altered taxonomic composition and enzymatic activities. Hydrolytic enzyme activities were reduced, while degradation of the remaining recalcitrant soil organic matter by oxidative enzymes was accelerated, demonstrating a severe shift in microbial functioning. This may irreversibly alter the world´s largest alpine pastoral ecosystem by diminishing its C sink function and nutrient cycling dynamics, negatively impacting local food security, regional water quality and climate.
N6-methyladenosine regulated FGFR4 attenuates ferroptotic cell death in recalcitrant HER2-positive breast cancer
Authors: Zou Yutian , Zheng Shaoquan , Xie Xinhua , Ye Feng , Hu Xiaoqian , Tian Zhi , Yan Shu-Mei , Yang Lu , Kong Yanan , Tang Yuhui , Tian Wenwen , Xie Jindong , Deng Xinpei , Zeng Yan , Chen Zhe-Sheng , Tang Hailin , Xie Xiaoming
Published: May 2022

Intrinsic and acquired anti-HER2 resistance remains a major hurdle for treating HER2-positive breast cancer. Using genome-wide CRISPR/Cas9 screening in vitro and in vivo, we identify FGFR4 as an essential gene following anti-HER2 treatment. FGFR4 inhibition enhances susceptibility to anti-HER2 therapy in resistant breast cancer. Mechanistically, m6A-hypomethylation regulated FGFR4 phosphorylates GSK-3β and activates β-catenin/TCF4 signaling to drive anti-HER2 resistance. Notably, suppression of FGFR4 dramatically diminishes glutathione synthesis and Fe2+ efflux efficiency via the β-catenin/TCF4-SLC7A11/FPN1 axis, resulting in excessive ROS production and labile iron pool accumulation. Ferroptosis, a unique iron-dependent form of oxidative cell death, is triggered after FGFR4 inhibition. Experiments involving patient-derived xenografts and organoids reveals a synergistic effect of anti-FGFR4 with anti-HER2 therapy in breast cancer with either intrinsic or acquired resistance. Together, these results pinpoint a mechanism of anti-HER2 resistance and provide a strategy for overcoming resistance via FGFR4 inhibition in recalcitrant HER2-positive breast cancer.
MYC drives aggressive prostate cancer by disrupting transcriptional pause release at androgen receptor targets
Authors: Qiu Xintao , Boufaied Nadia , Hallal Tarek , Feit Avery , de Polo Anna , Luoma Adrienne M. , Alahmadi Walaa , Larocque Janie , Zadra Giorgia , Xie Yingtian , Gu Shengqing , Tang Qin , Zhang Yi , Syamala Sudeepa , Seo Ji-Heui , Bell Connor , O’Connor Edward , Liu Yang , Schaeffer Edward M. , Jeffrey Karnes R. , Weinmann Sheila , Davicioni Elai , Morrissey Colm , Cejas Paloma , Ellis Leigh , Loda Massimo , Wucherpfennig Kai W. , Pomerantz Mark M. , Spratt Daniel E. , Corey Eva , Freedman Matthew L. , Shirley Liu X. , Brown Myles , Long Henry W. , Labbé David P.
Published: May 2022

c-MYC (MYC) is a major driver of prostate cancer tumorigenesis and progression. Although MYC is overexpressed in both early and metastatic disease and associated with poor survival, its impact on prostate transcriptional reprogramming remains elusive. We demonstrate that MYC overexpression significantly diminishes the androgen receptor (AR) transcriptional program (the set of genes directly targeted by the AR protein) in luminal prostate cells without altering AR expression. Analyses of clinical specimens reveal that concurrent low AR and high MYC transcriptional programs accelerate prostate cancer progression toward a metastatic, castration-resistant disease. Data integration of single-cell transcriptomics together with ChIP-seq uncover an increase in RNA polymerase II (Pol II) promoter-proximal pausing at AR-dependent genes following MYC overexpression without an accompanying deactivation of AR-bound enhancers. Altogether, our findings suggest that MYC overexpression antagonizes the canonical AR transcriptional program and contributes to prostate tumor initiation and progression by disrupting transcriptional pause release at AR-regulated genes.