bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sample size, range of parameters and time-dependent effects on global sensitivity analysis in sugarcane modelling
Authors: Pereira R. A. A. , Vianna M. S. , Marin F. R. 
Published: January 2024

AbstractProcess-based crop models (PBCM) for sugarcane present many genotype parameters compared to other crops, making it harder to calibrate. Global sensitivity analysis (GSA) has thus become an important tool for understanding, calibrating and further developing PBCMs. This work used a recently updated Agronomic Modular Simulator for Sugarcane (SAMUCA) to simulate crop growth and development, conducted with two treatments: with green cane trash blanket (GCTB) and under bare soil (BARE). Using the extended Fourier Amplitude Sensitivity (eFAST) algorithm, GSA was performed on the 24 genotype parameters of SAMUCA. The objective was to determine the sample size (SZ): how many samplings are necessary to quantify the sensitivity indices. Additionally, we aimed to assess the influence of parameter range variation and identify which genotype parameters explain the highest variance in simulations of the SAMUCA model under BARE and GCTB conditions. The results showed that SZ greatly affected the convergence and sensitivity indices, and the SZ required here needed to be >2049 for the analysis to cover all variables. Two sets of parameter ranges were used for analysis (the first used maximum and integer values of each parameter reported in the literature; the second applied 25% perturbation to the previously calibrated values). The results indicated that the parameter range affected the parameters' order of importance. Furthermore, we identified that at different phenological stages of sugarcane development, distinct parameters were responsible for explaining the most variance of the output. However, there was no difference among ratoons or interference in the results of BARE or GCTB.
Centrality statistics of symptom networks of schizophrenia: a systematic review
Authors: Buchwald Khan , Narayanan Ajit , Siegert Richard John , Vignes Matthieu , Arrowsmith Kim , Sandham Margaret 
Published: January 2024

AbstractThe network theory of psychological disorders posits that systems of symptoms cause, or are associated with, the expression of other symptoms. Substantial literature on symptom networks has been published to date, although no systematic review has been conducted exclusively on symptom networks of schizophrenia, schizoaffective disorder, and schizophreniform (people diagnosed with schizophrenia; PDS). This study aims to compare statistics of the symptom network publications on PDS in the last 21 years and identify congruences and discrepancies in the literature. More specifically, we will focus on centrality statistics. Thirty-two studies met the inclusion criteria. The results suggest that cognition, and social, and occupational functioning are central to the network of symptoms. Positive symptoms, particularly delusions were central among participants in many studies that did not include cognitive assessment. Nodes representing cognition were most central in those studies that did. Nodes representing negative symptoms were not as central as items measuring positive symptoms. Some studies that included measures of mood and affect found items or subscales measuring depression were central nodes in the networks. Cognition, and social, and occupational functioning appear to be core symptoms of schizophrenia as they are more central in the networks, compared to variables assessing positive symptoms. This seems consistent despite heterogeneity in the design of the studies.
Abnormal intrinsic brain functional network dynamics in first-episode drug-naïve adolescent major depressive disorder
Authors: Wu Baolin , Long Xipeng , Cao Yuan , Xie Hongsheng , Wang Xiuli , Roberts Neil , Gong Qiyong , Jia Zhiyun 
Published: January 2024

AbstractBackgroundAlterations in brain functional connectivity (FC) have been frequently reported in adolescent major depressive disorder (MDD). However, there are few studies of dynamic FC analysis, which can provide information about fluctuations in neural activity related to cognition and behavior. The goal of the present study was therefore to investigate the dynamic aspects of FC in adolescent MDD patients.MethodsResting-state functional magnetic resonance imaging data were acquired from 94 adolescents with MDD and 78 healthy controls. Independent component analysis, a sliding-window approach, and graph-theory methods were used to investigate the potential differences in dynamic FC properties between the adolescent MDD patients and controls.ResultsThree main FC states were identified, State 1 which was predominant, and State 2 and State 3 which occurred less frequently. Adolescent MDD patients spent significantly more time in the weakly-connected and relatively highly-modularized State 1, spent significantly less time in the strongly-connected and low-modularized State 2, and had significantly higher variability of both global and local efficiency, compared to the controls. Classification of patients with adolescent MDD was most readily performed based on State 1 which exhibited disrupted intra- and inter-network FC involving multiple functional networks.ConclusionsOur study suggests local segregation and global integration impairments and segregation-integration imbalance of functional networks in adolescent MDD patients from the perspectives of dynamic FC. These findings may provide new insights into the neurobiology of adolescent MDD.
ShakingBot: dynamic manipulation for bagging
Authors: Gu Ningquan , Zhang Zhizhong , He Ruhan , Yu Lianqing 
Published: January 2024

AbstractBag manipulation through robots is complex and challenging due to the deformability of the bag. Based on the dynamic manipulation strategy, we propose a new framework, ShakingBot, for the bagging tasks. ShakingBot utilizes a perception module to identify the key region of the plastic bag from arbitrary initial configurations. According to the segmentation, ShakingBot iteratively executes a novel set of actions, including Bag Adjustment, Dual-arm Shaking, and One-arm Holding, to open the bag. The dynamic action, Dual-arm Shaking, can effectively open the bag without the need to take into account the crumpled configuration. Then, the robot inserts the items and lifts the bag for transport. We perform our method on a dual-arm robot and achieve a success rate of 21/33 for inserting at least one item across various initial bag configurations. In this work, we demonstrate the performance of dynamic shaking action compared to the quasi-static manipulation in the bagging task. We also show that our method generalizes to variations despite the bag’s size, pattern, and color. Supplementary material is available at https://github.com/zhangxiaozhier/ShakingBot.
Kinematics inverse solution of assembly robot based on improved particle swarm optimization
Authors: Zhang Shixiong , Li Ang , Ren Jianxin , Ren Ruilong 
Published: January 2024

AbstractInverse kinematics of robot is the basis of robot assembly, which directly determines the pose of robot. Because the traditional inverse solution algorithm is limited by the robot topology structure, singular pose and inverse solution accuracy, it affects the use of robots. In order to solve the above problems, an improved particle swarm optimization (PSO) algorithm is proposed to solve the inverse problem of robot. This algorithm initializes the particle population based on joint angle limitations, accelerating the convergence speed of the algorithm. In order to avoid falling into local optima and premature convergence, we have proposed a nonlinear weight strategy to update the speed and position of particles, enhancing the algorithm’s search ability, in addition introducing a penalty function to eliminate particles exceeding joint limits. Finally, the positions of common points and singular points are selected on PUMA 560 robot and redundant robot for inverse kinematics simulation verification. The results show that, compared with other algorithms, the improved PSO algorithm has higher convergence accuracy and better convergence speed in solving the inverse solution, and the algorithm has certain universality, which provides a new solution for the inverse kinematics solution of the assembly robot.
Cultural history: an interdisciplinary approach
Authors: Burke Peter 
Published: January 2024

AbstractThis article concentrates on what historians have borrowed and adapted from neighbouring disciplines in the last few decades, rather than what they have lent (much more rarely). It discusses the ‘social turn’ of the 1960s, the movements for historical anthropology and ‘psychohistory (drawing on psychoanalysis) in the 1970s, the literary turn of the 1980s (ranging from the poetics of history to the analysis of ‘fiction in the archives’), the history of ‘social’ or ‘cultural’ memory, the rise of the history of gender, and the ‘cultural turn’ of the 1990s. In those forty years, historians were often in dialogue with social scientists and with other scholars in the humanities. In the 21st century, by contrast, there has been a rapprochement with experimental psychology and neuroscience (in the case of studies of memory and emotion) and with biology, culminating – so far – in a ‘bio-history’ concerned with the co-evolution of humans and animals. The famous opposition between ‘nature’ and ‘culture’ is melting away.
Joint developmental trajectories of internalizing and externalizing problems from mid-childhood to late adolescence and childhood risk factors: Findings from a prospective pre-birth cohort
Authors: Bista Sarita , Tait Robert J. , Straker Leon M. , Lin Ashleigh , Steinbeck Katharine , Graham Petra L. , Kang Melissa , Lymer Sharyn , Robinson Monique , Marino Jennifer L. , Skinner S. Rachel 
Published: January 2024

AbstractThere is limited evidence on heterogenous co-developmental trajectories of internalizing (INT) and externalizing (EXT) problems from childhood to adolescence and predictors of these joint trajectories. We utilized longitudinal data from Raine Study participants (n = 2393) to identify these joint trajectories from 5 to 17 years using parallel-process latent class growth analysis and analyze childhood individual and family risk factors predicting these joint trajectories using multinomial logistic regression. Five trajectory classes were identified: Low-problems (Low-INT/Low-EXT, 29%), Moderate Externalizing (Moderate-EXT/Low-INT, 26.5%), Primary Internalizing (Moderate High-INT/Low-EXT, 17.5%), Co-occurring (High-INT/High-EXT, 17%), High Co-occurring (Very High-EXT/High-INT, 10%). Children classified in Co-occurring and High Co-occurring trajectories (27% of the sample) exhibited clinically meaningful co-occurring problem behaviors and experienced more adverse childhood risk-factors than other three trajectories. Compared with Low-problems: parental marital problems, low family income, and absent father predicted Co-occurring and High Co-occurring trajectories; maternal mental health problems commonly predicted Primary Internalizing, Co-occurring, and High Co-occurring trajectories; male sex and parental tobacco-smoking uniquely predicted High Co-occurring membership; other substance smoking uniquely predicted Co-occurring membership; speech difficulty uniquely predicted Primary Internalizing membership; child’s temper-tantrums predicted all four trajectories, with increased odds ratios for High Co-occurring (OR = 8.95) and Co-occurring (OR = 6.07). Finding two co-occurring trajectories emphasizes the importance of early childhood interventions addressing comorbidity.
Pathways from adolescent close friendship struggles to adult negative affectivity
Authors: Allen Joseph P. , Costello Meghan A. , Hellwig Amanda F. , Stern Jessica A. 
Published: January 2024

AbstractThis 19-year prospective study applied a social development lens to the challenge of identifying long-term predictors of adult negative affectivity. A diverse community sample of 169 individuals was repeatedly assessed from age 13 to age 32 using self-, parent-, and peer-reports. As hypothesized, lack of competence establishing and maintaining close friendships in adolescence had a substantial long-term predictive relation to negative affectivity at ages 27–32, even after accounting for prior depressive, anxious, and externalizing symptoms. Predictions also remained robust after accounting for concurrent levels of depressive symptoms, indicating that findings were not simply an artifact of previously established links between relationship quality and depressive symptoms. Predictions also emerged from poor peer relationships within young adulthood to future relative increases in negative affectivity by ages 27–32. Implications for early identification of risk as well as for potential preventive interventions are discussed.
Micronutrient diversity in pole and bush type Dolichos bean germplasm: identification of gene sources from biofortification perspectives
Authors: Yadava Raj Bahadur , Kumar Rajeev , Krishna Hare , Yadav Kamlesh , Rai Nagendra , Singh Manish , Singh Jagdish , Behera Tusar Kanti 
Published: January 2024

AbstractExploring the nutritional potential of underutilized legumes such as Dolichos bean (Lablab purpureus L.) is of great significance, particularly, in view of accomplishing the United Nation's Sustainable Development Goal number two, which emphasizes on improving food and nutrition security by 2030. A thorough understanding of genetic variability is crucial for developing biofortified cultivars of Dolichos bean. In this study, the Dolichos bean genotypes represented by pole and bush types (28 bush and 19 pole types) were assessed for genetic variability for Cu, Mn, Fe and Zn contents. Pole type genotypes had higher average contents for all micronutrients except manganese. Among micronutrients, Cu, Fe, Mn and Zn, content ranged from 10.10–19.95, 77.13–331.93, 22.78–46.40 and 42.03–102.85 mg kg−1 in pole type, and 8.2–18.5, 50.8–99.3, 25.65–53.25 and 37.15–63.25 mg kg−1 in bush type beans, respectively. Strong positive correlations between Cu, Fe and Zn concentrations occurred, which indicates the possibility of simultaneous improvement of these nutrients. Pod pigmentation was positively correlated with contents of Fe and Zn. There was an association of micronutrients with yield. The pole genotypes VRSEM-1000, VRDB-01 and VRSEM 109 and bush type genotypes VRBSEM-3, VRBSEM-35 and VRBSEM- 200 are good source of microelements and high yielders. Gene sources with enhanced nutrients may be used as cultivated forms or as input material for breeding nutritionally rich biofortified varieties of bean.
Accurate Magnitude and Stress Drop Using the Spectral Ratios Method Applied to Distributed Acoustic Sensing
Authors: Lior Itzhak 
Published: January 2024

AbstractThe reliable estimation of earthquake magnitude and stress drop are key in seismology. The novel technology of distributed acoustic sensing (DAS) holds great promise for source parameter inversion owing to the measurements' high spatial density. In this study, I demonstrate the robustness of DAS for magnitude and stress drop estimation using the empirical Green's function deconvolution method. This method is applied to nine co‐located earthquakes recorded in Israel following the 2023 Turkey earthquakes. Spectral ratios were stacked along the fiber, and fitted with a relative Boatwright source spectral model. Excellent fits were obtained even for similar sized earthquakes. Stable seismic moments and stress drops were calculated assuming that the moment of one earthquake is known. DAS derived estimates were found to be more stable and reliable than those obtained using a dense accelerometer network. The results demonstrate the great potential of DAS for source studies.
Tidally Modulated Glacial Slip and Tremor at Helheim Glacier, Greenland
Authors: Yan Peng , Holland David M. , Tsai Victor C. , Vaňková Irena , Xie Surui 
Published: January 2024

AbstractNumerical modeling of ice sheet motion and hence projections of global sea level rise require information about the evolving subglacial environment, which unfortunately remains largely unknown due to its difficulty of access. Here we advance such subglacial observations by reporting multi‐year observations of seismic tremor likely associated with glacier sliding at Helheim Glacier. This association is confirmed by correlation analysis between tremor power and multiple environmental forcings on different timescales. Variations of the observed tremor power indicate that different factors affect glacial sliding on different timescales. Effective pressure may control glacial sliding on long (seasonal/annual) timescales, while tidal forcing modulates the sliding rate and tremor power on short (hourly/daily) timescales. Polarization results suggest that the tremor source comes from an upstream subglacial ridge. This observation provides insights on how different factors should be included in ice sheet modeling and how their timescales of variability play an essential role.
A Triggering Process for Nonlinear EMIC Waves Driven by the Compression of the Dayside Magnetosphere
Authors: Jun C.‐W. , Miyoshi Y. , Nakamura S. , Shoji M. , Hori T. , Bortnik J. , Lyons L. , Shinohara I. , Matsuoka A. 
Published: January 2024

AbstractUsing the Arase and Van Allen Probes satellite observations, we investigate the nonlinear electromagnetic ion cyclotron (EMIC) rising‐tone (RT) emissions with an increase of the solar wind dynamic pressure in the dayside magnetosphere. We find that EMIC RT emissions are accompanied by the extended dayside uniform zone (DUZ) over |MLAT| < 25° due to the dayside magnetospheric compression by an increase in Pdyn. Using the observed plasma and magnetic field data, we modeled the threshold amplitude for the nonlinear EMIC waves and compared it with the observation. The small gradient of the ambient magnetic field strongly contributes to the reduction in the threshold amplitude of nonlinear wave growth compared to other parameters. When the threshold amplitude falls to comparable level of pre‐existing EMIC waves, EMIC RT emissions are immediately triggered, suggesting direct evidence that the DUZ is the preferred condition to cause the nonlinear EMIC RT emission in the dayside magnetosphere.
Calibration of the Zero Offset of the Fluxgate Magnetometer on Board the Tianwen‐1 Orbiter in the Martian Magnetosheath
Authors: Wang Guoqiang , Xiao Sudong , Wu Mingyu , Zhao Yangdong , Jiang Song , Pan Zonghao , Hao Xinjun , Li Yiren , Liu Kai , Chi Yutian , Zou Zhuxuan , Chen Manming , Su Zhenpeng , Shen Chenglong , Guo Jingnan , Cheng Long , Wu Zhiyong , Xu Mengjiao , Wang Yuming , Zhang Tielong 
Published: January 2024

AbstractHigh‐precision measurements of the magnetic field are critical to explore the near‐Mars environment. The Mars Orbiter MAGnetometer (MOMAG) is one of seven payloads on board the Tianwen‐1 orbiter. Its zero offset needs regular calibration, and the Wang‐Pan method I is applied to the MOMAG when the Tianwen‐1 orbiter is in the solar wind. The orbiter will remain out of the solar wind over tens of days each year, a method is necessary to ensure the accuracy of the zero offset during this period. Recently, a new method was proposed by Wang (2022b), https://doi.org/10.3847/1538-4357/ac822c, which is referred to as the Wang method II for ease of description. Here, we test the performance of this method using the MOMAG data measured in the Martian magnetosheath. We find that the zero offset Ow determined by the Wang method II varies around the zero offset Owp calculated by the Wang‐Pan method I using the potential Alfvénic fluctuations in the solar wind. After smoothing with a temporal window of 27 days, Ow is able to achieve an accuracy close to Owp. If the data segment has no gaps and its duration is < 27 days, the smoothed Ow might have an error >2 nT, but the error tends to be smaller if the segment's duration is longer. Our tests suggest that the Wang method II is suitable for the in‐flight calibration of the MOMAG when the Tianwen‐1 orbiter remains out of the solar wind.
Response of ICON/MIGHTI Measured Low‐Mid Latitude OI630.0 and OI557.7 nm Dayglow Emissions to the 27 August 2021 Geomagnetic Storm
Authors: Gao Hong , Xu Jiyao , Chen Guang‐Ming , Zhu Yajun , He Maosheng , Yuan Wei , Sun Longchang , Li Dan , Liu Hongshan 
Published: January 2024

AbstractObservations from the Michelson Interferometer for Global High‐Resolution Thermospheric Imaging onboard the Ionospheric Connection Explorer spacecraft are used to study the response of OI630.0 and OI557.7 nm dayglow to a moderate geomagnetic storm on 27 August 2021. The storm reaches a minimum Dst index of −82 nT, significantly impacting the dayglow within the latitudinal range of approximately 20°N–42°N, where the dayglow observations are of good quality. During the geomagnetic storm, the OI630.0 dayglow intensity slightly increases, while the peak volume emission rate (VER) decreases, and the peak height rises noticeably. The F‐layer intensity, peak VER, and the entire‐layer intensity of OI557.7 dayglow decrease significantly. The rise in peak height is not noticeable for the OI557.7 dayglow. The VERs of the both dayglow emissions respond differently to the geomagnetic storm at different altitudes. The OI630.0 dayglow layer as a whole extends upward and rises in altitude. For dayglow averaged above 35°N, the OI630.0 dayglow VER increases above approximately 225 km but decreases below this altitude. The largest increase occurs near 300 km, reaching approximately 82.8%, while the largest decrease occurs around 160 km, reaching about −22.0%. The OI630.0 dayglow intensity increases by approximately 6.3%, the peak VER decreases by about −8.0%, and the peak height rises by approximately 16.3 km, corresponding to a 7.8% increase. The F‐layer intensity, peak VER, and the entire‐layer intensity of OI557.7 dayglow decrease by approximately −27.5%, −32.4% and −17.4%, respectively. The response of the dayglow also depends on longitude and is accompanied by a southward meridional wind.
A Fresh View of the Asian‐Australian Monsoon Complexity: The Intertropical Convective Cell (ITCC) Framework
Authors: Cheng Tat Fan , Lu Mengqian , Wang Bin , Dai Lun 
Published: January 2024

AbstractThe monsoon holds great significance in Asian‐Australian civilization. Recent studies realized the link between the monsoon onset and the seasonal migration of the Intertropical Convergence Zone (ITCZ). However, no clear ITCZ band is observed in the Asian‐Australian sector due to the strong influence of topography. Instead, there exists a large‐scale (∼1,500 km) tropical convective cell––a perennial system that we hereafter coin as the “intertropical convective cell (ITCC).” Using ERA5 reanalysis and satellite‐based outgoing longwave radiation products, here we show by objective detection and tracking that the ITCC exhibits eight phases during its seasonal migration along the Asian‐Maritime land bridge. Particularly, its sudden northward jump in boreal spring coincides well with the earliest (abrupt) onset of the Asian rainy season, while its equatorward retreat heralds the overall (gradual) monsoon withdrawal. These findings demonstrate the close link of the ITCC behavior to the spring‐fall asymmetry of the monsoon. Dynamically, the off‐equatorial ITCC features a monsoon regime with a cross‐equatorial overturning circulation, differing markedly from its equatorial regime with two weak overturning cells on each side. Further budget analyses prove our hypothesis that the north‐south charging gradient of the moist static energy determines the ITCC's spring‐fall asymmetric propagation, illuminating the physical origin of the spring‐fall asymmetry in the monsoon. Our results demonstrate the usefulness of the ITCC framework in understanding the Asian‐Australian monsoon complexity in a fresh and holistic manner. The framework will facilitate monsoon diagnosis, modeling and subseasonal‐to‐seasonal forecasting in the Asian‐Australian sector.