Weak Influence Research Articles

Examine the Role of Indo-Pacific Sea Surface Temperatures in Recent Meteorological Drought in Sudan

Drought poses a serious threat to Sudan, causing water shortages, crop failures, hunger, and conflict. The relationships between Indo-Pacific teleconnections and drought events in Sudan are examined based on the Standardized Precipitation Index (SPI), anomalies, Empirical Orthogonal Function (EOF), correlation, composite analysis, sequential Mann–Kendall test, and MK-trend test during the period of 1993–2022. The results of the SPI-1 values indicate that the extreme drought in Sudan in 2004 was an exceptional case that affected the entire region, with an SPI-1 value of −2 indicating extremely dry conditions. In addition, Sudan experienced moderate to severe drought conditions for several years (1993, 2002, 2008, 2009 and 2015). The Empirical Orthogonal Function showed that the first EOF mode (42.2%) was the dominant variability mode and had positive loading over most of the country, indicating consistent rainfall variation in the central, eastern, and western regions. Correlation analysis showed a strong significant relationship between June–September rainfall and Indian Ocean sea surface temperature (SST) (r ≤ 0.5). Furthermore, a weak positive influence of the Indian Ocean Dipole (IOD) on JJAS precipitation was observed (r ≤ 0.14). Various time lags in the range of ±12 months were examined, with the highest correlation (0.6) found at 9 month among the time lags of ±12 months. This study contributes to a better understanding of drought dynamics and provides essential information for effective drought management in Sudan. Further research is needed to explore the specific mechanisms driving these interactions and to develop tailored strategies to mitigate the impacts of drought events in the future.

The effect of energy efficiency retrofits on radical innovation: From the perspective of supply chain

Radical innovation is crucial for continuous improvement in energy efficiency. This paper explores the backward driving effect of downstream customers on upstream suppliers' radical innovation from the perspective of supply chain vertical linkages. Using supply chain data from Chinese listed companies, this paper examines the impact of downstream customers' energy efficiency retrofits on upstream suppliers' radical innovation. We find that: (1) Downstream customers' energy efficiency retrofits significantly promote upstream suppliers' radical innovation, while suppliers' energy efficiency retrofits have a crowding-out effect on their radical innovation. (2) Heterogeneity analysis reveals that the backward driving effect of downstream customers on upstream suppliers’ radical innovation is more pronounced in supply chains where the supplier has strong market influence and the customer has weak market influence. (3) The effect in the supply chain is only effective for radical innovation, with insignificant impact on incremental innovation and no green innovation bias. The findings provide a new perspective and empirical reference for actively cultivating radical innovation capabilities and deeply understanding the pathways to improving energy efficiency.

Stability and physical properties of brucite at high pressures and temperatures: Implication for Earth’s deep water cycle

Brucite is a common hydrous mineral on Earth and may contribute to the deep water cycle of the Earth, but its stability and structure under mantle conditions remain uncertain. In this study, we investigated the stability of brucite up to 60 GPa at 800 K and 45 GPa at 1850 K. Within the experiment P-T conditions, no theoretically predicted new phase was observed, and brucite remained in the P3¯m1 structure. With the determined thermal EoS of brucite and the elastic parameters of mantle minerals, we modeled the velocity and density profile of subducted hydrous harzburgite in the top lower mantle, assuming that the water was stored in brucite and phase D. Based on the modelling, 1 wt.% water will reduce the velocity and density of harzburgite by ∼ 5% and ∼ 2%, respectively, yet whether the water is stored in brucite or phase D has weak influence on both density and velocity. With a water content up to 2.4 wt.%, the density of hydrous harzburgite could be reduced to 2.2(2)%–2.8(2)% lower than the surrounding mantle, while the VP and VS of hydrous harzburgite are still 0.3(1)%–0.7(1)% and 0.7(2)%–1.8(2)% higher than that of the normal mantle. Thus, the low-density hydrous harzburgite may slow down the subducting of slab, despite being a high-velocity body in seismic observations.

Investigating the influence of social media influencer credibility on beauty product purchase behaviors: a case study from Vietnam

The growing dominance of social media as a marketing platform underscores the importance of understanding how influencer credibility affects consumer behavior. Social media influencers, through effective personal branding and content creation, form strong connections with their followers, significantly impacting their audience’s perceptions, attitudes, and purchasing decisions. This study explores the effects of social media influencers’ source credibility, comprising trustworthiness, expertise, and attractiveness, on consumers’ purchase intentions and behaviors regarding beauty products in Vietnam. A quantitative approach was utilized, with data collected from 269 Vietnamese consumers through a structured questionnaire and analyzed using partial least squares structural equation modeling. The results showed that all three components of source credibility, including trustworthiness, expertise, and attractiveness, significantly and positively influenced consumers’ purchase intentions for beauty products. Among these factors, expertise had the strongest effect on purchase intention (β = 0.289, p < 0.001), followed by trustworthiness (β = 0.216, p = 0.001), and attractiveness had the weakest influence on purchase intention (β = 0.195, p < 0.001). Moreover, purchase intention was found to have a significant positive impact on purchase behavior (β = 0.545, p = 0.004). These findings provide valuable insights for marketing managers and companies seeking to optimize their influencer partnerships by selecting influencers whose credibility aligns with their brand values and leveraging their expertise to build consumer trust, drive engagement, and influence purchase decisions. AcknowledgementThe researchers express sincere gratitude to all the participants who participate in this research study.

Unraveling the distribution pattern and driving forces of soil microorganisms under geographic barriers.

The Altai Mountains (ALE) and the Greater Khingan Mountains (GKM) in northern China are forest regions dominated by coniferous trees. These geographically isolated regions provide an ideal setting for studying microbial biogeographic patterns. In this study, we employed high-throughput techniques to obtain DNA sequences of soil myxomycetes, bacteria, and fungi and explored the mechanisms underlying the assembly of both local and cross-regional microbial communities in relation to environmental factors. Our investigation revealed that the environmental heterogeneity in ALE and GKM significantly affected the succession and assembly of soil bacterial communities at cross-regional scales. Specifically, the optimal environmental factors affecting bacterial Bray-Curtis similarity were elevation and temperature seasonality. The spatial factors and climate change impact on bacterial communities under the geographical barriers surpassed that of local soil microenvironments. The assembly pattern of bacterial communities transitions from local drift to cross-regional heterogeneous selection. Environmental factors had a relatively weak influence on myxomycetes and fungi. Both soil myxomycetes and fungi faced considerable dispersal limitation at local and cross-regional scales, ultimately leading to weak geographical distribution patterns.IMPORTANCEThe impact of environmental selection and dispersal on the soil microbial spatial distribution is a key concern in microbial biogeography, particularly in large-scale geographical patterns. However, our current understanding remains limited. Our study found that soil bacteria displayed a distinct cross-regional geographical distribution pattern, primarily influenced by environmental selection. Conversely, the cross-regional geographical distribution patterns of soil myxomycetes and fungi were relatively weak. Their composition exhibited a weak association with the environment at local and cross-regional scales, with assembly primarily driven by dispersal limitation.

In-situ high-temperature EBSD study of austenite reversion from martensite, bainite and pearlite in a high-strength steel

The austenite (γ) reversely transformed from lath martensite (LM), lath bainite (LB), granular bainite (GB) and pearlite+ferrite (P+F) in a high-strength steel was studied at high temperatures using in-situ electron backscatter diffraction (EBSD). The memory effect of initial γ significantly affects the nucleation of the reverted γ in LM and GB structures, while a weak influence on that of LB and P+F structures. This results in a significant difference in γ grain size after complete austenitization, with the first two obtaining larger γ grains while the latter two are relatively small. Crystallographic analysis revealed that the reverted γ with acicular morphology (γA), most of which maintained the same orientation with the prior γ, dominated the reaustenitization behavior of LM and GB structures through preferential nucleation within γ grains and coalesced growth modes. Although globular reverted γ (γG) with random orientation or large deviation from the prior γ can nucleate at the grain boundaries or within the grains, it is difficult for it to grow and play a role in segmenting and refining the prior γ due to the inhibition of γA coalescing. For LB and P+F structures, the nucleation rate of intragranular γG increases with increasing temperature, and always shows a random orientation. These γG grains can coarsen simultaneously with the intergranular γG, ultimately playing a role in jointly dividing and refining the final γ grains. Research also found that the differences in the effects of four different microstructures on reverted γ nucleation are closely related to the variant selection of the matrix structure, as well as the content and size of cementite (θ). High density of block boundaries induced by weakening of variant selection and many fine θ formed in the lath are the key to promoting LB structure to obtain more intragranular γG formation, as well as the important role of the large-sized θ in P+F structure.

Exploring the stock market development and sustainable development nexus: insights from emerging market economies

PurposeSustainable development is considered a key factor in addressing environmental issues, global inequalities and poverty. This study aims to investigate the impact of stock market indicators on sustainable development across 16 emerging markets from 2003 to 2020.Design/methodology/approachThe research uses causality and cointegration analyses to explore the relationships between stock market indicators and sustainable development.FindingsUnivariate causality analysis reveals a bidirectional causal relationship between the stock market turnover ratio and sustainable development, as well as a unidirectional relationship from sustainable development to stock market capitalization and total value traded. Panel-level cointegration analysis suggests that only stock market capitalization has a weak positive influence on sustainable development. However, the impact of stock market indicators on sustainable development varies significantly among countries, as revealed by country-level cointegration analysis.Research limitations/implicationsWhile this study provides valuable insights, it is not without limitations. The findings are limited to the selected emerging markets and the specified timeframe (2003–2020). The complexity of factors influencing sustainable development suggests the need for further exploration in diverse contexts.Practical implicationsUnderstanding the nuanced relationships between stock market indicators and sustainable development can offer valuable insights for policymakers, investors and stakeholders.Originality/valueThis research contributes to the existing literature by examining the multifaceted connections between stock market indicators and sustainable development, focusing on country-specific causality relationships. The study highlights the reciprocal nature of this relationship, where financial market development can both influence and be influenced by a country's progress toward sustainability. This approach provides a more nuanced understanding of the complex interaction between stock market maturity and sustainability goals.

Multi-parameter viscoelastic material model for denture adhesives based on time-temperature superposition and multiple linear regression analysis

BackgroundRestorative solutions designed for edentulous patients such as dentures and their accompanying denture adhesives operate in the complex and dynamic environment represented by human oral physiology. Developing material models accounting for the viscoelastic behavior of denture adhesives can facilitate their further optimization within that unique physiological environment. This study aims to statistically quantify the degree of significance of three physiological variables - namely: temperature, adhesive swelling, and pH - on denture adhesive mechanical behavior. Further, based on these statistical significance estimations, a previously-developed viscoelastic material modelling approach for such denture adhesives is further expanded and developed to capture these variables’ effects on mechanical behavior.MethodsIn this study a comparable version of Denture adhesive Corega Comfort was analysed rheologically using the steady state frequency sweep tests. The experimentally derived rheological storage and loss modulus values for the selected physiological variables were statistically analyzed using multi parameter linear regression analysis and the Pearson’s coefficient technique to understand the significance of each individual parameter on the relaxation spectrum of the denture adhesive. Subsequently, the parameters are incorporated into a viscoelastic material model based on Prony series discretization and time-temperature superposition, and the mathematical relationship for the loss modulus is deduced.ResultsThe results of this study clearly indicated that the variation in both the storage and loss modulus values can be accurately predicted using the oral cavity physiological parameters of temperature, swelling ratio, and pH with an adjusted R2 value of 0.85. The R2 value from the multi-parameter regression analysis indicated that the predictor variables can estimate the loss and storage modulus with a reasonable accuracy for at least 85% of the rheologically determined continuous relaxation spectrum with a confidence level of 98%. The Pearson’s coefficient for the independent variables indicated that temperature and swelling have a strong influence on the loss modulus, whereas pH had a weak influence. Based on statistical analysis, these mathematical relationships were further developed in this study.ConclusionsThis multi-parameter viscoelastic material model is intended to facilitate future detailed numerical investigations performed with implementation of denture adhesives using the finite element method.

Experimental study of rotating direction for dual-axial swirlers on the flow field and combustion characteristics of aero-engine combustor

The flow field structure for aero-engine combustor is one of the most important factors for combustion performance. To investigate how the rotating direction of dual-axial swirlers affects the flow field and combustion characteristics, particle image velocimetry (PIV) experiments were conducted in the primary combustion and intermediate zones. Additionally, planar laser induced fluorescence (PLIF) was used to map the distribution of kerosene and OH in the primary combustion zone. The results show that the swirling jets in co-swirl exhibit greater jet momentum, resulting in a longer primary recirculation zone and a larger deflection angle of the primary jets. This ultimately leads to a higher recirculation rate compared to counter-swirl. The primary jets define the boundary of the flow field structure. The rotating direction primarily affects the flow field structure upstream of the primary jets, exerts a relatively weaker influence on the intermediate zone, which is mainly affected by the deflection direction of the primary jets, and essentially has no impact on the dilution jets. Co-swirl has a relatively stable flow field than counter-swirl, whereas the flow field in counter-swirl is more chaotic, featuring a greater number of vortex cores in the primary recirculation zone. The coupling between the primary and swirling jets affects the mass transfer direction in the intermediate zone, which is reflected in the fact that the mass transfer is from top-left to bottom-right in co-swirl, while it is in the opposite direction in counter-swirl. OH is predominantly found in the swirling shear layers, the primary and secondary combustion zones, whereas kerosene is mainly concentrated in the shear layers of swirling jets. The kerosene distribution in co-swirl shows a larger and more concentrated expansion angle compared to counter-swirl. In contrast, the OH distribution downstream of counter-swirl is broader, with more intense combustion due to enhanced kerosene decomposition and fuel-air mixing. The smaller primary recirculation zone in counter-swirl forces the primary combustion zone to extend downstream, leading to a more intense reaction in the secondary recirculation zone.

The Effect of Principals’ Reward System on Learners’ Academic Performance in Kenya Certificate of Secondary Education

Rewarding productive teachers signifies recognition by school leadership. This study aimed to determine the influence of principals’ reward systems on learners’ academic performance in K.C.S.E., grounded on Karl Ludwig von Bertalanffy’s General Systems Theory. An explanatory sequential mixed-method design was employed, prioritizing quantitative data in phase one, followed by qualitative data in phase two. The target population included 4,691 participants: 340 principals, 1,360 Heads of Departments (H.O.Ds), and 2,991 teachers, with a sample of 451 respondents. Proportionate stratified random sampling selected 85 schools, 114 H.O.Ds, and 252 teachers, while census sampling chose national and special schools, and 85 principals were purposefully sampled. Data were collected using questionnaires and interview guides. Validity (content, criterion, construct, face) was ensured through expert evaluation, and reliability was confirmed with a Cronbach’s alpha coefficient over 0.7. Quantitative data were analyzed using SPSS Version 29, and qualitative data were analyzed thematically, presented with direct quotes and integrated with phase one findings. Descriptive statistics were shown in tables and graphs, and inferential statistics were presented as Pearson’s correlation coefficients, ANOVA, and regression coefficients. The study found a weak positive insignificant influence between the reward system and learners' academic performance (r=0.021, p≤0.05; 2-tailed), supporting the null hypothesis. Principals’ interviews indicated financial constraints and unclear promotion policies demoralize teachers. The study’s findings aim to guide corrective measures for low academic performance in the study area and recommend further research on the impact of principals' leadership skills on K.C.S.E. performance.

The Influence of Work Motivation on Bawaslu Employees in Bogor Regency on Public Satisfaction

Motivation is a factor that encourages a person to carry out certain activities, therefore motivation is often interpreted as a factor driving a person's behavior. Motivated employees tend to work better in carrying out their duties. Public satisfaction with Bawaslu's performance is an important indicator of Bawaslu's success in carrying out its duties. People who are satisfied with Bawaslu's performance tend to have higher trust in the election process. This study uses a quantitative approach with Work Motivation (X) and Public Satisfaction (Y) as variables. It sampled 18 employees and 18 public members using observation, interviews, and questionnaires. The correlation between work motivation and p satisfaction was 0.351, indicating a weak influence. The t-test showed no significant effect (tcount = 1.486, ttable = 1.746). The coefficient of determination (R²) was 0.121, meaning work motivation affects public satisfaction by 12.1%.

A matter of extraction – Extraction yields and ratios of faecal lipid biomarker from archaeological soils using Soxhlet, microwave-assisted and accelerated-solvent extraction

The performance of Soxhlet (SOX), microwave-assisted (MAE) and accelerated-solvent extraction (ASE) in the analysis of faecal lipid biomarkers (FLB, Δ5-sterols, stanols, stanones) from archaeological soils was investigated to assess effectiveness and reproducibility of the extraction methods. Results from two Anthrosols that were analysed in six replicates show that SOX achieves significantly higher extraction yields for individual substances and steroid sums than MAE, while ASE produces the lowest lipid yields. Regarding the FLB ratios, which are used for sourcing of faeces, the three extraction methods show comparable values with three out of five ratios differing significantly between different soil samples. The reproducibility of extraction yields decreases with SOX > ASE > MAE, as well as for concentrations <100 ngg−1 sediment. Analyses of six different soils indicate a weak influence of soil properties (pH, texture, total organic carbon and cation exchange capacity) on the effectiveness of extraction methods. From our study we conclude that the classical SOX is still the preferred extraction approach when reliably higher FLB yields are of foremost interest or low concentrations are expected, as it is most effective and reproducible. However, considering the drawbacks of SOX (high extraction times and high solvent consumption), MAE and ASE appear to be comparably attractive for extracting FLBs in archaeological contexts. In addition to comparable FLB ratios, MAE and ASE are economically more efficient, as they reach a higher sample throughput and waste lower amounts of extractant.

Effects of phosphatization on the mineralogical and geochemical composition of marine ferromanganese crusts from the JiaXie Guyot in the Western Pacific: Constraints from high resolution analysis

The marine crusts comprise ferromanganese sediments formed through the precipitation of dissolved elements in seawater. These crusts serve as a record elements signal from paleo-ocean and are extensively utilized in paleo-oceanography. Previous researches have examined the chemical composition of the phosphatized crust layers using powder chemistry and leaching experiments. However, there exist divergent viewpoints regarding the influence of phosphatization on element behavior. In this study, we employed a combination of analytical techniques including scanning electron microscope (SEM), powder X-ray diffractometer (XRD), TESCAN Integrated Mineral Analyzer (TIMA), laser ablation and inductively coupled plasma time of flight mass spectrometry combined system (LA-ICP-TOF), laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). These methods were utilized to achieve mineral phase quantification, precise depiction of element distribution, and in-situ profile analysis of elements within the phosphatized crust layers from the JiaXie Guyot in the Western Pacific. The mineral phase analysis shows enormous carbonate fluorapatite (CFA) precipitate, which replace calcite in the old phosphatized layer. Additionally, vernadite experiences partial dissolution. Furthermore, a small amount of hematite, goethite, todorokite, zeolite, barite, as well as trace amounts chalcopyrite, sphalerite, galena, ilmenite, and pyrite are formed. The element distributions suggest potential outward migration of Fe, V, Zr, Zn and Cu, while Ce and Pb are locally enriched. In the phosphatized crust, some elements exhibit depletion in the old crust layer compared to the young crust layer, with Fe > Si > V>Zn > Ti ≥ Pb, while others are enriched in the order crust layer, such as Y>Pd > Ce > Pt. The study proposes that FeOOH·nH2O and associated adsorbed elements like Si, Ce, Y, V, Zn, Ti and Pb dissolve in vernadite and migrate outward during phosphatization, with weak phosphatization influence on Mn oxide. In addition, the phosphate-rich seawater might contribute additional elements such as Y, Ce and Pd to the crust layers. Thus, this study highlights the elemental distributions, migration patterns observed, and significance of presence for critical metals between old and young crust layers from the influence of phosphatization based on high resolution analysis. Particularly, it acknowledges the contribution of phosphate-rich seawater to the elemental composition of crust layers.

Small molecule valproic acid enhances ventral patterning of human neural tube organoids by regulating Wnt and Shh signalling.

Valproic acid (VPA), a clinically approved small molecule, has been reported to activate Wnt signalling that is critical for dorsal-ventral (DV) patterning of neural tube. However, little is known about the impact of VPA on DV patterning process. Here, we show that even though VPA has a negative impact on the early formation of human neural tube organoids (hNTOs), it significantly enhances the efficiency of ventrally patterned hNTOs, when VPA is added during the entire differentiation process. RNA sequencing and RT-qPCR analysis demonstrates VPA activates endogenous Wnt signalling in hNTOs. Surprisingly, transcriptome analysis also identifies upregulation of genes for degradation of GLI2 and GLI3 proteins, whose truncated fragment are transcriptional repressors of Shh signalling. The Western-blot analysis confirms the increase of GLI3R proteins after VPA treatment. Thus, VPA might enhance ventral patterning of hNTOs through both activating Wnt, which can antagonise Shh signalling by inducing GLI3 expression, and/or inhibiting Shh signalling by inducing GLI protein degradation. We further obtain results to show that VPA still increases patterning efficiency of hNTOs with a weak influence on their early formation when the initiation time of VPA is delayed and its duration is reduced. Taken together, this study demonstrates that VPA enhances the generation of more reproducible hNTOs with ventral patterning, opening the avenues for the applications of hNTOs in developmental biology and regenerative medicine.

The uses and gratifications (U&G) model for understanding fake news sharing behavior on social media

BackgroundSocial networking sites (SNSs) have made information sharing easier than ever, this ease has also facilitated the spread of misinformation. ObjectiveTo ascertain and validate the uses and gratifications (U&G) factors associated with fake news-sharing behaviors on SNSs. MethodsA five-factor model based on the U&G theory was measured to estimate fake news-sharing behavior among university students, using the structural equation modeling. FindingsPassing time has a strong positive influence on fake news sharing behavior (β = 0.517, CR = 4.017, p < 0.001). Information seeking has a weak and non-significant positive influence on fake news sharing behavior (β = 0.308, CR = 1.569, p = 0.117). However, socialization (β = −0.164, CR = −1.883, p = 0.377), entertainment (β = −0.070, CR = −0.878, p = 0.380), and information sharing (β = −0.044, CR = −0.295, p = 0.768) gratifications have non-significant negative influences on fake news sharing behavior. The goodness-of-fit indices indicate that the proposed model is acceptable (χ2 = 2.195 df = 237; p < 0.001; GFI = 0.920; IFI = 0.901; CFI = 0.899; SRMR: 0.077; RMSEA = 0.049). ConclusionPassing time is the key predictor of fake news sharing behavior, while information-seeking gratification also contributes positively to this behavior. The study suggests several different approaches to prevent the spread of fake news, including implementing news literacy programs, installing a firewall, supporting fact-checking organizations, and implementing regulations and legislations for responsible social media practices. ImplicationsThe study is significant because it goes beyond the “what” of fake news sharing to understand the “why”. This deeper understanding can lead to more effective solutions for promoting responsible information-sharing behavior and combating the spread of fake news in the post-truth era.

Cryogenic Ion Vibrational Spectroscopy of Protonated Valine: Messenger Tag Effects.

We report the infrared photodissociation spectrum of tagged protonated valine in the range 1000-1900 cm-1, prepared in a cryogenic ion trap. Comparison of experimental results with calculated infrared spectra based on density functional theory shows that the hydroxyl group of the carboxylic acid functionality and the protonated amine group adopt a trans configuration. Nitrogen and methane molecules were used as messenger tags with optimal tagging temperatures of 30 K for N2 and 60 K for CH4. While the calculated infrared spectra of the tagged ion suggest only a weak influence of the messenger tag on the frequency positions of ValH+, the measured intensities for N2-tagged ValH+ appear strongly suppressed for all but the highest frequency feature at 1773 cm-1. We trace this behavior to the binding energy of the N2 tag, which is significantly higher than that of CH4, based on density functional and coupled cluster calculations and rate estimates for photoinduced unimolecular dissociation from statistical theory.

New Insights on the Information Content of the Normalized Difference Vegetation Index Sentinel-2 Time Series for Assessing Vegetation Dynamics

The Sentinel-2 NDVI time series information content from 2017 to 2023 at a 10 m spatial resolution was evaluated based on the NDVI temporal dependency in five scenarios in central Spain. First, time series were interpolated and then filtered using the Savitzky–Golay, Fast Fourier Transform, Whittaker, and Maximum Value filters. Temporal dependency was assessed using the Q-Ljung-Box and Fisher’s Kappa tests, and similarity between raw and filtered time series was assessed using Correlation Coefficient and Root Mean Square Error. An Interpolating Efficiency Indicator (IEI) was proposed to summarize the number and temporal distribution of low-quality observations. Type of climate, atmospheric disturbances, land cover dynamics, and management were the main sources of variability in five scenarios: (1) rainfed wheat and barley presented high short-term variability due to clouds (lower IEI in winter and spring) during the growing cycle and high interannual variability due to precipitation; (2) maize showed stable summer cycles (high IEI) and low interannual variability due to irrigation; (3) irrigated alfalfa was cut five to six times during summer, resulting in specific intra-annual variability; (4) beech forest showed a strong and stable summer cycle, despite the short-term variability due to clouds (low IEI); and (5) evergreen pine forest had a highly variable growing cycle due to fast responses to temperature and precipitation through the year and medium IEI values. Interpolation after removing non-valid observations resulted in an increase in temporal dependency (Q-test), particularly a short term in areas with low IEI values. The information improvement made it possible to identify hidden periodicities and trends using the Fisher’s Kappa test. The SG filter showed high similarity values and weak influence on dynamics, while the MVF showed an overestimation of the NDVI values.

Latest Pleistocene-Holocene sedimentary evolution from sediment records of the Tam Giang-Cau Hai coastal lagoon system, central Vietnam

The latest Pleistocene-Holocene sedimentary evolution was reconstructed from two boreholes collected in the Tam Giang-Cau Hai coastal lagoon region of central Vietnam. This research was based on analyzing radiocarbon dating, grain size, sedimentary structure, petrological components, and diatom assemblages. Besides, some high-resolution seismic data from the lagoon water body were interpreted to estimate Holocene sediment thickness. Sedimentary records of two boreholes revealed various sedimentary facies under the sea-level change since the Last Glacial Maximum (LGM): Fluvial channel facies, fluvial-lagoonal transition facies, lagoon facies, lagoonal-to-fluvial facies, and flood plain facies. Radiocarbon dating indicated that the coastal lagoon system possibly initiated around 8.8–8.5 cal kyr BP, corresponding to the meltwater pulse 1 C when saltwater intruded into the lagoon system. The borehole-sediment data combined with the high-resolution seismic data shows the thickness of Holocene sediments is approximately 20–35 m in the lagoon region. The study also suggested that the sandy barrier complex along the coast between the lagoon system and the open sea has been likely built during the transgression since 10–8.8 cal kyr BP. Additionally, five ecological zones were identified based on diatom assemblages in borehole HK02 indicating variations in marine and fluvial influence in the coastal lagoon system during the past 8.8 kyr: Dia-HK02–1 indicates a low presence of diatoms, suggesting a weak marine influence in the coastal lagoon system; Dia-HK02–02 shows the strongest marine influence and stable ecological conditions in the coastal lagoon system; Dia-HK02–03 demonstrates a partial decrease in marine influence; Dia-HK02–4 shows an increasing fluvial influence; and Dia-HK02–5 developed under completely dominated fluvial conditions on land.

Contribution assessment and accumulation prediction of heavy metals in wheat grain in a smelting-affected area using machine learning methods

Due to the diverse controlling factors and their uneven spatial distribution, especially atmospheric deposition from smelters, assessing and predicting the accumulation of heavy metals (HM) in crops across smelting-affected areas becomes challenging. In this study, integrating HM influx from atmospheric deposition, a boosted regression tree model with an average R2 > 0.8 was obtained to predict accumulation of Pb, As, and Cd in wheat grain across a smelting region. The atmospheric deposition serves as the dominant factor influencing the accumulation of Pb (28.2 %) and As (31.2 %) in wheat grain, but shows a weak influence on Cd accumulation (12.1 %). The contents of available HM in soil affect HM accumulation in wheat grain more significantly than their total contents in soil with relative importance rates of Pb (14.4 % > 8.2 %), As (30.9 % > 4.0 %), and Cd (55.0 % > 16.9 %), respectively. Marginal effect analysis illustrates that HM accumulation in wheat grain begins to intensify when Pb content in atmospheric dust reaches 5140 mg/kg and available Cd content in soil exceeds 1.15 mg/kg. The path analysis rationalizes the cascading effects of distances from study sites to smelting factories on HM accumulation in wheat grain via negatively influencing atmospheric HM deposition. The study provides data support and a theoretical basis for the sustainable development of non-ferrous metal smelting industry, as well as for the restoration and risk management of HM-contaminated soils.

Maternal Malnutrition and Its Associated Adverse Pregnancy Outcomes and Childbirth in Dadu District, Sindh, Pakistan

Background: Maternal malnutrition poses serious risks to both mother and child, contributing to adverse pregnancy outcomes such as anemia, pre-eclampsia, and low birth weight. Addressing maternal malnutrition is essential for promoting healthy pregnancies and favorable birth outcomes. Methodology: The study involved 660 third-trimester pregnant women at a tertiary care hospital in Dadu district, Sindh, Pakistan. The aim was to identify the association patterns of maternal nutrition on birth outcomes to inform future programming. Data were collected using a mixed-methods approach with a snowballing technique. Bivariate and multivariate analyses were performed using R-Studio and Canvas software to analyze associations and differences related to maternal nutrition. Results: The majority of rural participants (84%) intended to deliver at DHQ Dadu, with 81% facing inconsistent family income sources, impacting food security and healthcare access. Maternal education positively correlated with healthcare service utilization, while maternal counseling had a weaker influence. Early pregnancies were prevalent, with 29% of women reporting their first pregnancy before age 20 and 6.7% before age 16. Iron and folic acid utilization was suboptimal (20.4%), and access to healthcare was hindered by distance, cost, and inconsistent coverage, particularly in rural areas. Maternal malnutrition was a significant concern, with 15.4% identified as acutely malnourished. Conclusion: The study highlights significant challenges, including socioeconomic disparities, early pregnancies, inadequate healthcare access, and poor maternal nutrition status. Targeted interventions such as improving healthcare infrastructure, enhancing maternal education, promoting early prenatal care, strengthening community-based nutrition programs, and leveraging social safety net programs can help mitigate adverse birth outcomes.