Respective Contributions Research Articles

Impact of Climate Change Assessments on Horticultural Crop Dynamics in Tamil Nadu, India

Aim: This study aims to analyze the dynamics of horticultural crop production in Tamil Nadu amidst climate change, focusing on trends, challenges, and opportunities across diverse agro-climatic zones, primarily considering variations in rainfall.
 Data: The research utilizes comprehensive datasets spanning a decade (2012-13 to 2021-22) encompassing records of rainfall, horticulture cultivation area, and production. The study focuses on major horticultural crop categories, including fruits, vegetables, plantation crops, spices and condiments, medicinal and aromatic crops, and flowers.
 Objective: (1) analyze compound annual growth rates of area, production, and productivity of key horticultural crops in Tamil Nadu, (2) conduct decomposition analysis over a decade for horticultural crops, and (3) assess climate change impact on agricultural production in Tamil Nadu focusing on rainfall patterns.
 Methodology: The study utilizes various analytical tools, including Compound Annual Growth Rate (CAGR) analysis, percentage analysis, decomposition analysis, and the Cobb-Douglas production function. Secondary data from government publications, including the Season and Crop Report of Tamil Nadu and the Department of Horticultural and Plantation Crop Report of Tamil Nadu, are utilized for analysis.
 Results: The analysis reveals intricate patterns influenced by climate variability, with certain zones demonstrating harmonious growth, while others contend with challenges related to cultivation and productivity. The decomposition analysis highlights the respective contributions of changes in cultivation area and crop yield to variations in production, underscoring the impact of climate change on agricultural dynamics. Additionally, the Cobb-Douglas production function analysis indicates significant effects of both rainfall and cultivation area on horticultural production, emphasizing the multifaceted nature of factors influencing production trends.

Distinct neural signatures underlying information maintenance and manipulation in working memory.

Previous working memory research has demonstrated robust stimulus representations during memory maintenance in both voltage and alpha-band activity in electroencephalography. However, the exact functions of these 2 neural signatures have remained controversial. Here we systematically investigated their respective contributions to memory manipulation. Human participants either maintained a previously seen spatial location, or manipulated the location following a mental rotation cue over a delay. Using multivariate decoding, we observed robust location representations in low-frequency voltage and alpha-band oscillatory activity with distinct spatiotemporal dynamics: location representations were most evident in posterior channels in alpha-band activity, but were most prominent in the more anterior, central channels in voltage signals. Moreover, the temporal emergence of manipulated representation in central voltage preceded that in posterior alpha-band activity, suggesting that voltage might carry stimulus-specific source signals originated internally from anterior cortex, whereas alpha-band activity might reflect feedback signals in posterior cortex received from higher-order cortex. Lastly, while location representations in both signals were coded in a low-dimensional neural subspace, location representation in central voltage was higher-dimensional and underwent a representational transformation that exclusively predicted memory behavior. Together, these results highlight the crucial role of central voltage in working memory, and support functional distinctions between voltage and alpha-band activity.

Development of renewable energy fed three-level hybrid active filter for EV charging station load using Jaya grey wolf optimization

This work develops a hybrid active power filter (HAPF) in this article to operate in conjunction with the energy storage system (ESS), wind power generation system (WPGS), and solar energy system (SES). It employs three level shunt voltage source converters (VSC) connected to the DC-bus. Optimization of the gain values of the fractional-order proportional integral derivative controller (FOPIDC) and parameter values of the HAPF is achieved using the Jaya grey wolf hybrid algorithm (GWJA). The primary objectives of this study, aimed at enhancing power quality (PQ), include: (1) ensuring swift stabilization of DC link capacitor voltage (DCLCV); (2) reducing harmonics and improving power factor (PF); (3) maintaining satisfactory performance under different combinations of loads like EV charging load, non linear load and solar irradiation conditions. The proposed controller's performance is evaluated through three test scenarios featuring different load configurations and irradiation levels. Additionally, the HAPF is subjected to design using other optimization algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), and ant colony optimization (ACO) to assess their respective contributions to PQ improvement.

Redox mediated enhancement and quenching of co-reactant electrochemiluminescence by iridium(III) complexes

Enhancement of the electrochemiluminescence (ECL) of tris(2,2′-bipyridine)ruthenium(II) ([Ru(bpy)3]2+) and tri-n-propylamine by redox mediators has emerged as a new approach to maximise the sensitivity of this mode of detection. Herein, we examine the influence of six water-soluble iridium(III) complexes on this widely used ECL system by deconvoluting their respective contributions to the overall ECL intensity over a range of applied potentials. The interconnected co-reactant ECL of these metal complexes, eliciting enhancement or quenching of the [Ru(bpy)3]2+ emission, can be understood by considering the available reaction pathways under different conditions and the disparate electrochemical and photophysical properties of the reactants. The ideal properties for enhancement are established, which will inform the future design and application of redox mediators in this ECL system.

Response Study of Streamflow and Sediment Reduction in the Northeast Region of the Loess Plateau under Changing Environment

The Sanggan River Basin in the loess hill and gully area is the primary water source for the establishment of the capital water conservation function area and the ecological environment support zone. Against the backdrop of global warming, population growth, and accelerated urbanization, water consumption in the Sanggan River Basin has persistently increased in recent years, leading to a series of issues, such as river pollution, surface streamflow reduction, groundwater over-exploitation, soil erosion, and decreased vegetation coverage. In this research, we employed the DMC approach, SWAT model, InVEST model, and CA-Markov model to quantitatively analyze the correlation between alterations in streamflow and sediment within this area and three influential factors: climate variations, LUCC, and other human interventions. Furthermore, we clarified the relative contributions of climate factor elements, land-use types, and human activities to streamflow and sediment in this region. The findings indicate a decline in the annual streamflow and sediment quantities observed within this region from 1960 to 2020, with reduction rates of 1.27 × 108 m3/10 a and 129.07 × 104 t/10 a, respectively, and an abrupt change year in 1983 and 1982. Compared to the annual streamflow, the annual sediment volume demonstrates more substantial variation. Based on the constructed model, three scenario simulation periods: P0 (1962–1981/1982), P1 (1983/1982–1999), and P2 (2000–2020) were set. Compared with P0, the respective contribution rates of climatic variation, land use, and other human intervention to streamflow (sediment volume) were 15.247% (19.601%), −0.03% (−1.349%), and 84.783% (81.748%) in P1. In P2, the contribution rates of these three factors on streamflow (sediment volume) were 9.160% (9.128%), 0.211% (3.053%), and 90.629% (84.818%), respectively. Through a quantitative analysis of climatic factors on streamflow and sediment, we found a positive correlation between precipitation and both streamflow and sediment. Additionally, there is an inverse relationship between temperature and streamflow, but streamflow will increase when temperature rises by 10%. Under three different future land-use scenarios, the variations in streamflow and sediment exhibited as ecological protection scenario < urban expansion scenario < natural development scenario. Changes in streamflow in this region are primarily caused by human intervention that alters the underlying surface. The increase in check dams and silted land could lead the runoff and sediment to decrease. Moreover, compared with the increase in industrial and agricultural water consumption, the increase in urban water consumption is the main factor for human water consumption.

Improved Accuracy and Sensitivity in Diagnosis and Staging of Lung Cancer with Systematic and Combined Endobronchial and Endoscopic Ultrasound (EBUS-EUS): Experience from a Tertiary Center.

Combined endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) and endoscopic ultrasound-guided tissue acquisition (EUS-TA) are accurate procedures for the diagnosis and staging of mediastinal lymph nodes (MLNs) in lung cancer. However, the respective contribution of separate and combined procedures in diagnosis and staging has not been fully studied. The aim of this study was to assess their respective performances. Patients with suspected malignant MLNs in lung cancer or recurrence identified by PET-CT who underwent combined EBUS-TBNA and EUS-TA were retrospectively reviewed. A total of 141 patients underwent both procedures. Correct diagnosis was obtained in 82% with EBUS-TBNA, 91% with EUS-TA, and 94% with the combined procedure. The overall sensitivity, specificity, and positive and negative predictive values (PPV and NPV) of EBUS-TBNA, EUS-TA, and the combined procedure for diagnosing malignancy were [75%, 100%, 100%, 58%], [87%, 100%, 100%, 75%], and [93%, 100%, 100%, 80%], respectively, with a significantly better sensitivity of the combined procedure (p < 0.0001). Staging (82/141 patients) was correctly assessed in 74% with EBUS-TBNA, 68% with EUS-TA, and 85% with the combined procedure. The overall sensitivity, specificity, PPV, and NPV of EBUS-TBNA, EUS-TA, and the combined procedure for lung cancer staging were [62%, 100%, 100%, 55%], [54%, 100%, 100%, 50%], and [79%, 100%, 100%, 68%], respectively, significantly better in terms of sensitivity for the combined procedure (p < 0.001). The combined EBUS-EUS approach in lung cancer patients showed better accuracy and sensitivity in diagnosis and staging when compared with EBUS-TBNA and EUS-TA alone.

Review on Panoptic Segmentation of Images with Text-to-Image and Image-to-Image Diffusion Models

The strategic integration of panoptic segmentation and diffusion models within a comprehensive project is explored in detail in this review study, with a focus on the respective contributions and usefulness of each approach. Selected due to their capacity for dynamic process analysis, the diffusion models are expected to reveal complex patterns and behaviors in a variety of applications, providing fine-grained understanding of the temporal evolution of things. In addition, the project's analytical depth is enhanced by the intentional inclusion of panoptic segmentation, which highlights its critical role in obtaining total scene interpretation. Results are expected that will demonstrate the project's usefulness in reconstructing distorted images and classifying them into labels in order to improve comprehension for average people interacting with complex visual data. A comprehensive analysis of the methodology, applications, difficulties, and potential applications is included in the paper's conclusion, providing insight into the strategic combination of diffusion models with panoptic segmentation. The integration of perspectives from many scholarly articles enhances our comprehension and offers significant insights on the intentional use of these models. This collaborative method promotes continual learning and improvement in the use of diffusion models and panoptic segmentation across multiple disciplines, while also advancing grasp of dynamic processes and scene interpretation. We also in the end tend to provide a detailed and systematic review on all the current models and their papers that are published to provide a clear observation on where we stand on image generation and segmentation

Attenuation characteristics of concrete using smart aggregate transducers: Experiments and numerical simulations of P-wave propagation

Concrete is a highly heterogeneous construction material. Waves that propagate through concrete face significant reflection, scattering, and attenuation issues. Understanding the behavior of waves as they propagate through concrete and arrive at a sensor has generated much attention, especially for developing real-world field applications. In this study, a predictive model of attenuated P-wave propagation using Rayleigh damping is presented. The method used frequency excitations ranging from 20 to 200 kHz and smart aggregates (SAs) were embedded in a concrete specimen to excite and receive P-waves. Moreover, 10 distances were marked opposite the exciter at two propagation paths. In the simulations and experiments, signal processing methods were utilized to extract the first arrival packet for calculating amplitude attenuation. The P-wave damping coefficient was modeled using the multi-physical finite element method, and the results of the predictive model were compared with the experimental results. A discussion on the utilization of frequency-dependent attenuation coefficients was conducted to explore potential P-wave attenuation factors and their respective contributions to the overall attenuation. Numerical studies have demonstrated a strong correlation with the experiments when an appropriate level of material damping coefficient was considered. By enhancing the overall comprehension of the P-wave damping coefficient and attenuation characteristics within concrete, damage detection techniques based on P-waves can be improved.

Review of Classification Systems for Adult Acquired Flatfoot Deformity/Progressive Collapsing Foot Deformity and the Novel Development of the Triple Classification Delinking Instability/Deformity/Reactivity and Foot Type.

Background: Classifications of AAFD/PCFD have evolved with an increased understanding of the pathology involved. A review of classification systems helps identify deficiencies and respective contributions to the evolution in understanding the classification of AAFD/PCFD. Methods: Using multiple electronic database searches (Medline, PubMed) and Google search, original papers classifying AAFD/PCFD were identified. Nine original papers were identified that met the inclusion criteria. Results: Johnson's original classification and multiple variants provided a significant leap in understanding and communicating the pathology but remained tibialis posterior tendon-focused. Drawbacks of these classifications include the implication of causality, linearity of progression through stages, an oversimplification of stage 2 deformity, and a failure to understand that multiple tendons react, not just tibialis posterior. Later classifications, such as the PCFD classification, are deformity-centric. Early ligament laxity/instability in normal attitude feet and all stages of cavus feet can present with pain and instability with minor/no deformity. These may not be captured in deformity-based classifications. The authors developed the 'Triple Classification' (TC) understanding that primary pathology is a progressive ligament failure/laxity that presents as tendon reactivity, deformity, and painful impingement, variably manifested depending on starting foot morphology. In this classification, starting foot morphology is typed, ligament laxities are staged, and deformity is zoned. Conclusions: This review has used identified deficiencies within classification systems for AAFD/PCFD to delink ligament laxity, deformity, and foot type and develop the 'Triple classification'. Advantages of the TC may include representing foot types with no deformity, defining complex secondary instabilities, delinking foot types, tendon reactivity/ligament instability, and deformity to represent these independently in a new classification system. Level of Evidence: Level V.

International Responses to Prevention Intervention Research During Human Ecosystem Disruptions: A Commentary on the Special Issue of Prevention Science.

The purpose of this commentary on the special issue of Prevention Science, "International Responses to Prevention Intervention Research During Human Ecosystem Disruptions," is to review the six target articles included in this issue, evaluate their results, and highlight the myriad ways in which diverse teams of prevention scientists mobilized to conduct rigorous scientific research during major human ecosystem disruptions (HEDs). The articles included in this issue consider both the etiology of mental and behavioral health challenges (i.e., substance use, mental health, behavioral problems) during HEDs and preventive intervention efforts aimed at addressing these challenges (i.e., adaptation and implementation of evidence-based interventions in novel contexts). This commentary discusses each article with emphasis on the respective contributions that prevention science teams have made to public health during major HEDs. Even in the most challenging contexts, prevention scientists have been at the forefront of public health efforts and have evidenced the vital role of prevention science for public health during HED events. The commentary concludes by highlighting the critical roles that prevention scientists can play in addressing critical public health issues during large-scale HEDs.

Early spiral arteriole remodeling in the uterine-placental interface: A rat model.

The mammalian placenta's interface with the parent is a richly vascularized tissue whose development relies upon communication between many different cell types within the uterine microenvironment. The uterine blood vessels of the interface are reshaped during pregnancy into wide-bore, flaccid vessels that convey parental blood to the exchange region of the placenta. Invasive trophoblast as well as parental uterine macrophages and Natural Killer cells are involved in the stepwise remodeling of these vessels and their respective contributions to this crucial process are still being delineated. However, the earliest steps in arteriole remodeling are understudied as they are difficult to study in humans, and other species lack the deep trophoblast invasion that is so prominent a feature of placentation in humans. Here, we further characterize the rat, with deep hemochorial placentation akin to humans, as a model system in which to tease apart the earliest, relatively understudied events in spiral arteriole remodeling. We show that the rat uterine-placental interface increases in size and vascularity rapidly, before trophoblast invasion. The remodeling stages in the arterioles of the rat uterine-placental interface follow a sequence of anatomical changes similar to those in humans, and there are changes to the arterioles' muscular tunica media prior to the marked influx of immune cells. The rat is a tractable model in which to better understand the cell/cell interactions occurring invivo in an intact tissue microenvironment over time.

From Small‐Area Observations to Insight: Surface‐Feature‐Extrapolation of Anodes for Alkaline Oxygen Evolution Reaction

AbstractIn this study, we developed a statistical framework, named multistage data quantification (MSDQ), to evaluate representative surface characteristics such as surface roughness, surface area, and homogeneity score of cobalt oxide‐based anodes, and contributing to a deeper insight into the quality of the anode surface. Atomic force microscopy (AFM) was employed to capture the surface morphology of two anodes that have a comparable loading of cobalt oxide but exhibit distinct morphological features. Application of MSDQ exposed notable disparities in surface characteristics across these anodes, underlining the critical importance of MSDQ in precise surface characterization. Specifically, surface roughness, surface area and homogeneity score effectively elucidated the disparities in electrocatalytic activity for the oxygen evolution reaction (OER), as quantified through scanning droplet cell (SDC) measurements. By conducting a systematic comparative analysis, the respective contributions of the extrinsic surface characteristics of the anodes to the intrinsic electrocatalytic material property could be differentiated and quantified. Applications of our findings range from benchmarking of anodes to optimization of anode manufacturing processes.

Forum: The Case for Reflexive Writing Practices in Management Communication and Organization Studies

Following criticism about the quality of writing in management communication and organization studies, this Forum presents arguments for change in how scholarly knowledge is communicated. The expectation today seems to be that, to get published, academic writing requires monologic and complex ways of expression. However, using formulaic and reader-exclusive language in publications limits their accessibility to a wider readership, including not only more diverse members of the disciplinary community—such as non-Anglophone scholars and junior researchers—but also those we study and write about. In our respective contributions, we argue for more meaningful communication between writers and readers achieved through writers adopting reflexive practices when crafting their texts for publication. Specifically, we suggest considering reflexivity through the following concepts: conformity and individuality, socialization, tenderness, and respect. These, we argue, help make our academic writing more accessible and meaningful.

Energy Demand in AR Applications—A Reverse Ablation Study of the HoloLens 2 Device

This study presents a comprehensive analysis of power consumption in the context of AR applications on the HoloLens 2. As an ablation study, the research systematically dissects various aspects, shedding light on both hardware and software components. The power consumption was examined in diverse scenarios, ranging from the device at idle to running AR applications of increasing complexity. Overall, the study provides insights into the power management aspects associated with Hololens 2 AR devices and applications, offering cues for optimizing energy efficiency and enhancing the user experience. The findings confirm that display-related factors, such as the screen brightness and content complexity, significantly impact power consumption. However, the results reveal that power usage does not scale linearly with the number of objects in an AR scene due to overhead factors and object occlusion. Furthermore, usage scenarios such as lighting conditions and large/minor user motions are analyzed. Moreover, the influence of different development platforms, Unity and Unreal, on power consumption is discussed, highlighting their respective contributions to energy usage. These findings might be useful for researchers, developers, and users of AR technology.

Suture-Based Distal Radioulnar Joint Stabilization: A Biomechanical Evaluation in a Cadaveric Model

Abstract Purpose Management of acute distal radioulnar joint (DRUJ) instability is complex and controversial. Common treatment options include prolonged immobilization, stabilization with wires, and acute triangular fibrocartilage complex repair. However, none of these permits an early range of motion. The purpose of this study is to investigate the feasibility of a suture-based stabilization (SBS) technique for acute DRUJ instability to permit early active motion. Methods A biomechanical study utilizing eight cadaveric arms was performed. All specimens were tested in the intact state prior to the creation of bidirectional DRUJ instability. For the SBS group, 2-mm suture tapes with suture button fixation were utilized to recreate the respective contributions of distal oblique bundle and volar and dorsal radioulnar ligaments to DRUJ stability. All specimens were cyclically loaded with a simulated ballottement stress of 20N in forearm positions of neutral, 60 degrees of pronation and 60 degrees of supination. Range of motion and total translation were measured and then compared between the two groups. Results The average range of motion in the intact and SBS specimens was 174 and 175 degrees, respectively. There were no significant differences in displacement between the intact and SBS group in neutral and in supination. However, the SBS group had less translation than the intact group in pronation. Conclusions For acute DRUJ instability, the described SBS technique provides similar stability to the native intact DRUJ without compromising the range of motion in a cadaveric model. Future comparative studies are warranted prior to translation into the clinical arena. Clinical Relevance This is a biomechanical study investigating a treatment technique for acute DRUJ instability that would allow an early range of motion.

Compartmentalization transformation of Fe2+, Mn2+ and NH4+ in groundwater: A comparative research containing experimental medium and functional genera profiling derived from experiment data

Contamination of soluble iron (Fe2+), manganese (Mn2+), and ammonium (NH4+) in groundwater is prevalent, particularly in Northeast China. This study aims to elucidate the intricate biological and physical-chemical reactions involved in the sequential transformation of three target contaminants. Two dynamic column simulations were used to compare quartz sand filtration (QSF) system with riverbank filtration (RBF) system to assess the interactions and respective contributions of the reactions involved in transforming process. Similar pattern of transformation vertical compartmentalization in two systems along the filter depth were founded, and the Fe2+ transformation was mainly distributed in the upper part, while NH4+ and Mn2+ occurred primarily in the downstream sections. The average transformation rate of Fe2+, Mn2+ and NH4+ in RBF system was 84.52 %, 47.68 % and 67.95 %, respectively, which was 5.20 %, 11.43 % and 23.06 % higher than in QSF system. The dominant transformation process for Fe2+ in RBF involved chemical oxidation, bio-oxidation and adsorption. The lower transformation rate for Mn2+ was attributed to abiotic homogenous oxidation limitation and negative affect derived from high concentration of NH4+ with high nitrification rate in RBF system. Nitrification by Nitrosomonas and Nitrospira was critical NH4+ transformation mechanism in RBF system, while the adsorption by iron and manganese oxide and aerobic denitrification were contributed strongly to NH4+ transformation in QSF system. Furthermore, the spatial distribution of functional bacterial genera was in good consistent with the transformation compartmentalization of three target contaminants in both systems, and similar microbial community structure reflected the domestication effect of groundwater chemistry on functional bacteria.

Bedrock regulated climatic controls on the interannual variation of land sink in South-West China karst through soil water availability

South-West China (SWC) is a pivotal region for global greening, recognized as having great carbon sink potential. Multiple evidence underscores the expanding contribution of SWC’s carbon sink to the global carbon sink enhancement. However, our understanding of carbon sink dynamics and the response to climate across bedrock remains limited. In this study, we investigated the divergence in trends in carbon sink across bedrocks, evaluating their respective contributions of bedrocks to the overall carbon sink in SWC. Additionally, we assessed the dominant climatic factors and examined how bedrocks shape the response of carbon sink to climate change. Our results revealed a notable increase in the regional carbon sink, with an average rate of 3.58 TgC/yr from 1981 to 2019. Continuous Carbonate Rocks (CCR) exhibited the highest increased rate of total carbon sequestration (1.57 TgC/yr), surpassing Discontinuous Carbonate Rocks (DCR) by threefold. Non-karst areas contributed the most to both the mean and interannual variations of the overall carbon sink, with CCR exerting the most contribution to the trends. Over time, the contribution of CCR to the overall carbon sink escalated, while the contributions of DCR and non-karst declined. All bedrocks displayed negative correlations between NEP and temperature, with DCR showing higher susceptibility. Non-karst areas experienced adverse impacts from vapor pressure deficit, while CCR benefited from positive soil moisture effects. Our findings implied that bedrock indeed played a critical role in the variations in NEP and the response of NEP to climate change. Bedrock regulated climatic controls on carbon sink through soil water availability as soil water availability is affected by the lithology of basement carbonate. This novel understanding emphasizes the necessity for tailored ecological restoration initiatives that consider the distinctive lithological features of the karst ecosystem, and holds significance for implementing ecologically sound projects in karst regions.

The cortico-striatal circuitry in autism-spectrum disorders: a balancing act.

The basal ganglia are major targets of cortical inputs and, in turn, modulate cortical function via their projections to the motor and prefrontal cortices. The role of the basal ganglia in motor control and reward is well documented and there is also extensive evidence that they play a key role in social and repetitive behaviors. The basal ganglia influence the activity of the cerebral cortex via two major projections from the striatum to the output nuclei, the globus pallidus internus and the substantia nigra, pars reticulata. This modulation involves a direct projection known as the direct pathway and an indirect projection via the globus pallidus externus and the subthalamic nucleus, known as the indirect pathway. This review discusses the respective contribution of the direct and indirect pathways to social and repetitive behaviors in neurotypical conditions and in autism spectrum disorders.

Upwelling-driven biogenic silica accumulation in the Yangtze Sea, South China during Late Ordovician to Early Silurian time: A possible link with the global climatic transitions

Silica accumulation in the Yangtze Sea during the Ordovician–Silurian (O–S) transition appears to have coincided with global climatic fluctuations, widespread upwelling, and volcanism. There is a need to further evaluate their respective contributions to silica deposition and potential relationships among these factors. The current study selected siliceous deposits in the Wufeng and Longmaxi Formations from four sections spanning the inner to outer Yangtze Sea, South China, to gain a deeper understanding of the climatic and oceanographic evolution associated with silica enrichment. Al/(Al + Fe + Mn) values, the presence of radiolarians, and Si isotope values of samples recovered from the investigated shale successions offer compelling evidence that the silica is largely of biogenic origin with some terrigenous contributions. Further, various productivity and redox proxies suggest that biogenic silica (BSi) accumulated under conditions of enhanced marine productivity and anoxic bottom water conditions. Hg/TOC and Zr/Al2O3 profiles suggest intermittent volcanism during the BSi deposition in the Yangtze Sea. However, the lack of correlation between BSi and Hg/TOC values indicates that volcanic iron fertilization was not responsible for BSi accumulation. Instead, most BSi-rich samples are dominated by low MnEF × CoEF values (<0.5), consistent with BSi deposited in modern upwelling settings. Hydrographic reconstruction based on Mo–U covariation indicates a more open water setting in the outer Yangtze Sea, while the coeval inner Yangtze Sea was relatively restricted. Therefore, upwelling events appear to have been more vigorous in the outer Yangtze Sea. Published and new Chemical Index of Alteration (CIA), BSi, and MnEF × CoEF data for the Wufeng and Longmaxi Formations across the inner to outer Yangtze Sea demonstrate that temporal and spatial variations of BSi were controlled by climate-driven upwelling. In particular, cool-water upwelling contemporaneous with Hirnantian glaciation may have been responsible for the establishment of the cool-water fauna of the shallow-water Guanyinqiao Bed and enhanced silica deposition in deeper water. Moreover, a moderate negative relationship between compiled CIA and BSi contents suggests that enhanced upwelling driving BSi accumulation appears to have been favored during cooling events. Integrated analysis of BSi deposits of the Laurentia and Baltica continental margins further suggests that BSi accumulation on continental margins during the O–S transition was primarily influenced by global cooling. Therefore, we suggest that wind patterns or/and thermohaline circulation, influenced by climate fluctuations, induced widespread cold water upwelling events during the O–S transition. Moreover, elevated BSi production diluted accumulating OM resulting in the observed parabolic relationship of BSi and TOC.

Understanding Factors Influencing Geographic Variation in Healthcare Expenditures: A Small Areas Analysis Study.

Dramatic geographic variations in healthcare expenditures were documented by developed countries, but little is known about such variations under China's context, and what causes such variations. This study aims to examine variations of healthcare expenditures among small areas and to determine the associations between demand-, supply-factors, and per capita inpatient expenditures. This cross-sectional study utilized hospital discharge data aggregated within delineated hospital service areas (HSAs) using the small-area analysis approach. Linear multivariate regression modeling with robust standard errors was used to estimate the sources of variation of per capita inpatient expenditures across HSAs covering the years 2017 to 2019; the Shapley value decomposition method was used to measure the respective contributions of demand-, supply-side to such variations. Among 149 HSAs, demand factors explained most of the (87.4%) overall geographic variation among HSAs. With each 1% increase in GDP per capita and urbanization rate was associated with 0.099% and 0.9% increase in inpatient expenditure per capita, respectively, while each 1% increase in the share of females and the unemployment rate was associated with a 0.7% and 0.4% reduction in the per capita inpatient expenditures, respectively. In supply-side, for every 1 increase in hospital beds per 1000 population, the per capita inpatient expenditures rose by 2.9%, while with every 1% increase in the share of private hospitals, the per capita inpatient expenditures would decrease by 0.4%. With Herfindahl-Hirschman Index decrease 10%, the per capita inpatient expenditures would increase 1.06%. This study suggests demand-side factors are associated with large geographic variation in per capita inpatient expenditures among HSAs, while supply-side factors played an important role. The evaluation of geographic variations in per capita inpatient expenditures as well as its associated factors have great potential to provide an indirect approach to identify possibly existing underutilized or overutilized healthcare procedures.