Predominant Source Research Articles

Harnessing climate information service use for cocoa farming sustainability in Ghana

ABSTRACT Climate change poses significant challenges to agricultural sectors worldwide, including the cocoa industry, which is highly vulnerable to climate variability. Understanding how climate information services (CIS) can support cocoa farmers in adapting to these challenges is crucial for enhancing resilience and ensuring the sustainability of cocoa production. We employed a survey methodology that usedd a simple random sampling technique to select 400 cocoa farmers. The findings show that a substantial majority of cocoa farmers actively use climate information services. Weather forecasts emerge as the most commonly utilised CIS (87.57%). Radio emerges as the predominant source of climate information, notably for its accessibility and reach. Respondents expressed a favourable perception of CIS. Membership in farmer-based organizations and access to extension services enhance the likelihood of CIS utilisation. A compelling narrative of the remarkable outcomes of CIS unfolds, spotlighting a 53% increase in cocoa yields, a resounding 72% reduction in household food insecurity, and a striking 58% surge in income. Despite these triumphant strides, the perceived complexity surrounding CIS dissemination and utilisation emerges as a key challenge. Urgent efforts to streamline accessibility, foster comprehension, and bolster resource allocations must follow, ensuring that cocoa farming remains a beacon of sustainable prosperity.

Evaluating intra-fractional tumor motion in lung stereotactic radiotherapy with deep inspiration breath-hold.

To evaluate the intra-fractional tumor motion in lung stereotactic body radiotherapy (SBRT) with deep inspiration breath-hold (DIBH), and to investigate the adequacy of the current planning target volume (PTV) margins. Twenty-eight lung SBRT patients with DIBH were selected in this study. Among the lesions, twenty-three were at right or left lower lobe, two at right middle lobe, and three at right or left upper lobe. Post-treatment gated cone-beam computed tomography (CBCT) was acquired to quantify the intra-fractional tumor shift at each treatment. These obtained shifts were then used to calculate the required PTV margin, which was compared with the current applied margin of 5mm margin in anterior-posterior (AP) and right-left (RL) directions and 8mm in superior-inferior (SI) direction. The beam delivery time was prolonged with DIBH. The actual beam delivery time with DIBH (Tbeam_DIBH) was compared with the beam delivery time without DIBH (Tbeam_wo_DIBH) for the corresponding SBRT plan. A total of 113 treatments were analyzed. At six treatments (5.3%), the shifts exceeded the tolerance defined by the current PTV margin. The average shifts were 0.0±1.9mm, 0.1±1.5mm, and -0.5±3.7mm in AP, RL, and SI directions, respectively. The required PTV margins were determined to be 4.5, 3.9, and 7.4mm in AP, RL, and SI directions, respectively. The average Tbeam_wo_DIBH and Tbeam_DIBH were 2.4±0.4 min and 3.6±1.5 min, respectively. The average treatment slot for lung SBRT with DIBH was 25.3±7.9 min. Intra-fractional tumor motion is the predominant source of treatment uncertainties in CBCT-guided lung SBRT with DIBH. The required PTV margin should be determined based on data specific to each institute, considering different techniques and populations. Our data indicate that our current applied PTV margin is adequate, and it is possible to reduce further in the RL direction. The time increase of Tbeam_DIBH, relative to the treatment slot, is not clinically significant.

Average total weight of surgical waste and CO2 carbon footprint of orthopedic surgery in France, estimated on the basis of a representative panel

BackgroundReduction of waste and carbon footprint can be optimized. Awareness of carbon sources and quantification of the waste are two key parameters. To our knowledge, there is no study in France on waste production by the surgical team during the operation in orthopedic surgery, in a global scope. Therefore, we performed an observational investigation aiming to: (1) quantify and characterize the weight of the wastes generated after a panel of orthopedic procedures, (2) calculate the CO2 footprint generated by these wastes and extrapolate the figure at the national scale. HypothesisWaste production is highly variable according to the types of procedures and infectious clinical waste is still a predominant source of waste and CO2 emission. Materials and methodsIt is a comparative and prospective study in which a total of 14 procedures were selected as a representative panel: arthroplasties (hip, knee), spine fusions, arthroscopic procedures (shoulder, knee), nerve release, forefoot osteotomies, trauma procedures. The main outcome was the average total weight of waste for each of the fourteen categories (280 measurements: 140 times 2, at the end of each procedure), expressed in kilograms (kg), and the proportions of infectious clinical waste (ICW) and household wastes (HW), expressed in percentages. Ten measures were prospectively recorded for each type of procedure in a single teaching hospital from January to September 2022. The theoretical carbon footprint generated by the treatment of the wastes was estimated in kilograms of CO2 equivalent (KgEqCO2). The national extrapolation of the carbon footprint was performed by collecting the total number of procedures in France in 2021 using the VisuChir tool. ResultsA total of 937kg of waste were produced for the 140 procedures, amongst which 514kg of ICW (54.8%) and 423kg of HW (45.2%). The overall median waste weight was 5.9kg (Q1: 4.4, Q3: 8.1), ranging from 1.8kg to 18.3kg. The overall median waste weight for HW was 2.8kg (Q1: 2.5, Q3: 3.4), ranging from 1.8kg to 17.8kg. The overall median waste weight for ICW was 3.8kg (Q1: 2.7, Q3: 4.8), ranging from 0.8kg to 7.2kg. The knee surgeries were responsible for the heaviest waste weight; the least waste-productive procedures were the foot and the carpal tunnel release. The median proportions of ICW varied from 39% for the total knee replacements to 72% for the femoral nails. There was a significant inverse correlation between the total waste weight and the proportion of ICW: r=−0.47, p<10−4. The total median estimated carbon footprint was 4.3KgCO2Eq (Q1: 3.1, Q3: 5.8), ranging from 1.59KgCO2Eq (Q1: 1.5, Q3: 1.8) and 7.07KgCO2Eq (Q1: 6.7, Q3: 8.17). The total median estimated carbon footprint was 3.5KgCO2Eq for ICW (Q1: 2.5, Q3: 4.5) and 0.76KgCO2Eq (Q1: 0.54, Q3: 1.3) for HW. The national median estimated carbon footprint was 10.1 million KgEqCO2 in 2021 for orthopedic surgery. ConclusionOur study revealed that in most cases more than half of the wastes were ICW. The total estimated national carbon footprint for orthopedic procedures was 10 million kilograms. The reduction of the ICW constitutes a cornerstone, as they are responsible for more carbon emissions. Level of evidenceIII; prospective comparative observational in vivo study.

Towards sustainable precipitation management in Madurai Town Planning Area (India)

This study aimed to look for efficient development strategies towards achieving sustainable precipitation management in the Madurai Town Planning Area (MTPA) in India. In the MTPA, precipitation is the predominant source of freshwater for agricultural and domestic uses in addition to water received through conventional systems. The average annual precipitation in the region is ~ 816 mm with standard deviation of 233 mm. The regression analysis showed that annual precipitation is following a decreasing trend and will be about 716 mm by 2030. The Precipitation Concentration Index (PCI) values ranging from 18 to 20 represented strong irregularities and seasonality in annual precipitation over the study area. March, July, September, and November months contributed 2.5, 6.19, 14, and 16% to annual precipitation, respectively, and all showed decreasing trends over time. Only 20% of Northeast monsoon was active over the past 44 years (1976–2019), resulting in a 15% probability of flood and drought occurrences throughout the MTPA. The long-term (1976–2019) average value of annual precipitation days was about 42. The Concentration Index (CI) showed that 60–70% of precipitation was received within 25% of precipitable days. Daily precipitation class of moderate (7.5–34 mm) and rather heavy (34–64 mm) ranges were the dominant types of precipitation, contributing 46% and 26% to total annual precipitation, respectively. Except for October, the monthly precipitation received was deficit to meet the irrigation water demand in the MTPA. However, development of precipitation harvesting systems can annually preserve about 27 Mm3 freshwater in the urban space of the MTPA.

A modular IGBT power stack − based and open hardware framework for small wind turbines assessment

Wind energy technologies have emerged as the predominant renewable energy source within the framework of present-day electric power systems. Their design process, aligned with foundational theories, ought to be precision-engineered and systematized to fully maximize the potential of this energy source. This study presents a platform as solution designed and built to characterize and assess Small Wind Turbines (SWT), based on free software and open hardware. Additionally, the developed methodology step-by-step guide is disclosed. The characterization is based on the use of Permanent-Magnet Synchronous Generator (PMSG) as machine widely adopted in Wind Energy Conversion System (WECS) less than 100 kW. The core theoretical background is detailed to confirm the accuracy of the parameters procedures acquisitions. Poles number, machine design constant, armature reactance, synchronous reactance, and power-dynamic characteristic related to WECS are determined. This laboratory set-up is composed of variable industrial fan, rectifier, boost converter and a bidirectional Direct-Current (DC) source as a battery emulator. All components have been assembled within the laboratory environment using commercially available elements. Low implementation cost and versatile methods determine the real input in practice of this platform. To validate the effectiveness for any SWT, a real one is tested, and every parameter proposed is calculated.

Liver sinusoidal endothelial cells contribute to portal hypertension through collagen type IV-driven sinusoidal remodeling.

Portal hypertension (PHTN) is a severe complication of liver cirrhosis and is associated with intrahepatic sinusoidal remodeling induced by sinusoidal resistance and angiogenesis. Collagen type IV (COL4), a major component of basement membrane, forms in liver sinusoids upon chronic liver injury. However, the role, cellular source, and expression regulation of COL4 in liver diseases are unknown. Here, we examined how COL4 is produced and how it regulates sinusoidal remodeling in fibrosis and PHTN. Human cirrhotic liver sample RNA sequencing showed increased COL4 expression, which was further verified via immunofluorescence staining. Single-cell RNA sequencing identified liver sinusoidal endothelial cells (LSECs) as the predominant source of COL4 upregulation in mouse fibrotic liver. In addition, COL4 was upregulated in a TNF-α/NF-κB-dependent manner through an epigenetic mechanism in LSECs in vitro. Indeed, by utilizing a CRISPRi-dCas9-KRAB epigenome-editing approach, epigenetic repression of the enhancer-promoter interaction showed silencing of COL4 gene expression. LSEC-specific COL4 gene mutation or repression in vivo abrogated sinusoidal resistance and angiogenesis, which thereby alleviated sinusoidal remodeling and PHTN. Our findings reveal that LSECs promote sinusoidal remodeling and PHTN during liver fibrosis through COL4 deposition.

PSVI-1 Backgrounding and finishing systems for cattle fed corn silages and corn grains differing in amylase expression

Abstract Amylase is a key enzyme involved in the hydrolysis of starch, which typically constitutes the predominant source of energy in feedlot cattle diets. Performance of cattle during the backgrounding phase can influence performance during the subsequent finishing phase. Our objective was to assess growth performance of backgrounding steers fed diets that contained combinations of corn silage (S) and steam-flaked corn (G) from hybrids with high amylase expression (Enogen corn; E; Syngenta Seeds, LLC) or common corn hybrid (C), as well as subsequent finishing performance, carcass characteristics, and liver abscess incidence when fed G produced from the same hybrids. Crossbred steers (n = 911; 306 ± 8 kg initial body weight) were assigned randomly to one of four backgrounding treatments with 12 replicates in a randomized complete block experiment using a factorial treatment arrangement. Factor 1 consisted of two corn silage hybrids (ES or CS), and factor 2 consisted of two SFC hybrids (EG or CG). In the subsequent finishing phase, animals were assigned to one of two treatments consisting of two grain hybrids (EG or CG) with 24 replicates per treatment. Backgrounding diets (dry basis) contained 20.1% flaked corn and 41.6% corn silage, and finishing diets contained 81.5% flaked corn with triticale silage as a common roughage source. There was no three-way interaction for measures of interest, and no differences among treatment combinations with respect to average daily gain (ADG) or incidence of abscessed livers (P &amp;gt; 0.10). Steers fed CG during the backgrounding phase ate more than steers fed EG (P = 0.04), thus leading to improved overall efficiency of steers fed EG in the backgrounding phase compared with their counterparts fed CG (P &amp;lt; 0.01; Table 1). Overall efficiency tended to be greater for cattle fed CG during the finishing phase (P = 0.06) compared with cattle fed EG during the finishing phase. There was a tendency for interaction between G fed in the backgrounding and G fed in the finishing phase for hot carcass weight (P = 0.07), such that steers fed the same hybrid in both phases had greater carcass weight compared with those fed different hybrids in the backgrounding and finishing phases. Type of grain fed in the backgrounding and finishing phases, but not silage, impacted overall system efficiency.

Risk assessment of trace elements in vegetables grown in river Yamuna floodplain in Delhi.

Urban agriculture is common in fertile river floodplains of many developing countries. However, there is a risk of contamination in highly polluted regions. This study quantifies health risks associated with the consumption of vegetables grown in the floodplain of the urban river 'Yamuna' in the highly polluted yet data-scarce megacity Delhi, India. Six trace elements are analyzed in five kinds of vegetable samples. Soil samples from the cultivation area are also analyzed for elemental contamination. Ni, Mn, and Co are observed to be higher in leafy vegetables than others. Fruit and inflorescence vegetables are found to have higher concentrations of Cr, Pb, and Zn as compared to root vegetables. Transfer Factor indicates that Cr and Co have the highest and least mobility, respectively. Vegetable Pollution Index indicates that contamination levels follow as Cr > Ni > Pb > Zn. Higher Metal Pollution Index of leafy and inflorescence vegetables than root and fruit vegetables indicate that atmospheric deposition is the predominant source. Principal Component Analysis indicates that Pb and Cr have similar sources and patterns in accumulation. Among the analyzed vegetables, radish may pose a non-carcinogenic risk to the age group of 1-5year. Carcinogenic risk is found to be potentially high due to Ni and Cr accumulation. Consumption of leafy vegetables was found to have relatively less risk than other vegetables due to lower Cr accumulation. Remediation of Cr and Ni in floodplain soil and regular monitoring of elemental contamination is a priority.

Immune profiling reveals umbilical cord blood mononuclear cells from South India display an IL-8 dominant, CXCL-10 deficient polyfunctional monocyte response to pathogen-associated molecular patterns that is distinct from adult blood cells.

Neonate responses to pathogen-associated molecular patterns (PAMPS) differ from adults; such understanding is poor in Indian neonates, despite recognized significant infectious risk. Immune profiling analysis was undertaken of 10 secreted mediators contextualized with cellular source induced by six PAMPs in umbilical cord (CB; n = 21) and adult-blood (PBMC; n = 14) from a tertiary care hospital in South India. Differential cytokine expression analysis (minimum log2-fold difference; adj P-value < 0.05) identified bacterial PAMPs induced higher concentrations of IL-1β, IL-10, TNF-α in adults versus IL-8, GM-CSF, IFN-γ, and IL-2 in CB. CB responded to poly I:C and SARS-CoV-2 lysate with a dominant IL-8 response, whereas in PBMC, CXCL-10 dominated poly I:C, but not SARS-CoV-2, responses, highlighting potential IL-8 importance, in the absence of Type I Interferons, in antiviral CB immunity. Candida albicans was the only PAMP to uniformly induce higher secretion of effectors in CB. The predominant source of IL-8/IL-6/TNF-α/IL-1β in both CB and PBMC was polyfunctional monocytes and IFN-γ/IL-2/IL-17 from innate lymphocytes. Correlation matrix analyses revealed IL-8 to be the most differentially regulated, correlating positively in CB versus negatively in PBMC with IL-6, GM-CSF, IFN-γ, IL-2, consistent with more negatively regulated cytokine modules in adults, potentially linked to higher anti-inflammatory IL-10. Cord and adult blood from India respond robustly to PAMPs with unique effector combinations. These data provide a strong foundation to monitor, explore, mechanisms that regulate such immunity during the life course, an area of significant global health importance given infection-related infant mortality incidence.

Historical construction, quantitative source identification and risk assessment of heavy metals contamination in sediments from the Pearl River Estuary, South China

Historical reconstruction of heavy metals (HMs) contamination in sediments is a key for understanding the effects of anthropogenic stresses on water bodies and predicting the variation trends of environmental state. In this work, eighteen sediment cores from the Pearl River Estuary (PRE) were collected to determine concentrations and geochemical fractions of HMs. Then, their potential sources and the relative contributions during different time periods were quantitatively identified by integrating lead-210 (210Pb) radioisotope dating technique into positive matrix factorisation (PMF) method. Pollution levels and potential ecological risks (PERs) caused by HMs were accurately assessed by enrichment factors (EF) based on establishment of their geochemical baselines (GCBs) and multiparameter evaluation index (MPE). HMs concentrations generally showed a particle size- and organic matter-dependent distribution pattern. During the period of 1958–1978, HMs concentrations remained at low levels with agricultural activities and natural processes being identified as the predominant sources and averagely contributing >60%. Since the reform and opening-up in 1978, industrial and traffic factors become the primary anthropogenic sources of HMs (such as Cu, Zn, Cd, Pb, Cr, and Ni), averagely increasing from 22.1% to 28.1% and from 11.6% to 23.4%, respectively. Conversely, the contributions of agricultural and natural factors decreased from 37.0% to 28.5% and from 29.3% to 20.0%, respectively. Subsequently, implementation of environmental preservation policies was mainly responsible for the declining trend of HMs after 2010. Little enrichment of sediment Cu, Zn, Pb, Cr and Ni with EFs (0.15–1.43) was found in the PRE, whereas EFs of Cd (1.16–2.70) demonstrated a slight to moderate enrichment. MPE indices of Cu (50.7–252), Pb (52.0–147), Zn (35.5–130), Ni (19.6–71.5), Cr (14.2–68.8) and Cd (0–9.90) highlighted their potential ecological hazards due to their non-residual fractions and anthropogenic sources.

Tracing embryonic hematopoiesis guides induction of pluripotent stem cells to hematopoietic progenitors

In this issue of Developmental Cell, Fowler etal. applied genetic lineage-tracing mouse models to support the notion that artery endothelial cells are the predominant source of hematopoietic stem cells. They leveraged this and developed a method capable of efficiently differentiating human pluripotent stem cells into HLF+HOXA+ hematopoietic progenitors.

Trend in yield and protein content relationship in a historical series of durum wheat varieties under rainfed and irrigated environments

Improving grain yield (GY) is a major goal of durum wheat breeding programs, and a high yield needs to be attained while preserving grain quality. The current study evaluated the changes caused by a breeding program on the association between GY and grain protein content (PC) in Moroccan durum wheat. Field experiments with six leading varieties released over three decades were conducted for three growing seasons under two water regimes. GY and PC were largely controlled by environmental effects, including both the growing season and water regime. The year of release and growing season effects were the predominant sources of variation in total chlorophyll content (TCC). A significant increase in GY with the year of release was observed under irrigated conditions, whereas a significant increase in PC over time was noted under rainfed conditions. In addition, a negative correlation was revealed between GY and PC, which was significant only in the rainfed trials. Similarly, a significant and positive association was noted between PC and TCC within the rainfed trials, but not in the irrigated trials. Based on GGE (genotype main effect plus genotype ​× ​environment interaction) biplot analysis, the new varieties ‘Marouane’ and ‘Faraj’ were identified as desirable varieties in terms of GY and PC close to the ‘ideal genotype’. These results indicated that when grown under current irrigated conditions, new varieties improved by the Moroccan breeding program showed better GY performance than old varieties.

Characterizing the impact of reservoir storage and discharge on nitrogen dynamics in an upstream wetland using a δ15N and δ18O dual-isotope approach

The identification of nitrate sources in reservoir water is important for watershed-scale surface pollution management. Significant fluctuations in river water levels arising from reservoir storage and discharge influence nitrate sources and transport processes. The Sanmenxia Reservoir, in the middle reaches of the Yellow River in China, undergoes significant water level changes (290–316 m), altering the composition of the nitrogen sources. This study employed a δ15N and δ18O dual-isotope method and MixSIAR modeling to quantify the contributions of nitrate sources. This reveals the impact of reservoir water impoundment and discharge on nitrogen dynamics in the upstream region of the wetland and the model sensitivity for each nitrate source. The results showed that the average concentrations of nitrate‑nitrogen (NO- 3-N) were elevated during the impoundment period compared to the discharge period. Nitrogen sources exhibited varying proportions in surface water, groundwater, and soil water during both the impoundment and discharge periods. The predominant sources include manure and sewage (MS), with a maximum proportion of 57.4 % in surface water. Soil nitrogen (SN) accounted for 25.8 % of groundwater nitrogen and 32.1 % of soil water nitrogen during the impoundment period, whereas, during the discharge period, soil nitrogen made up 41.4 % of surface water nitrogen, manure and sewage contributed 44.8 % of groundwater nitrogen, and manure and sewage dominated with 56.7 % of soil water nitrogen. Sensitivity analysis of the MixSIAR model revealed that the isotopic composition of the manure and sewage primary source most significantly influenced the apportionment results of the riverine nitrate source. Reservoir discharge facilitates the dissimilatory nitrate reduction to ammonium (DNRA). The migration of NO- 3 from surface water to soil water and groundwater occurred from the impoundment period to the discharge period.

Coking exhaust contributes to airborne particulate matter in the Beijing–Tianjin–Hebei region

Coking was regarded as a predominant source of air pollution. Despite the adoption of more environmentally friendly equipment, whether the coking enterprises in the Beijing–Tianjin–Hebei (BTH) region are still causing regional air pollution is worthy of study, which is essential for the control of coking enterprises in this area. To improve the prediction accuracy of large-scale air pollutant distribution, the air particle distribution in the BTH region was simulated via land use regression (LUR) combined with Bayesian maximum entropy (BME); then, the distribution was correlated with the exhaust gas emitted from coking enterprises. Results indicated that the R2 of the “LUR + BME” method reached 0.95, higher than 0.82 using LUR alone. The air quality distribution presented a pattern of “low in the northern mountains and high in the southern plains”, similar to the distribution of coking enterprises in BTH region. A significant correlation was found between exhaust emissions from coking enterprises and air quality in the BTH region, confirming the contribution of coking emissions to air pollution in this region, and the necessity to continue the strict control on coking enterprises in BTH area.

AIR POLLUTION SOURCES AND THEIR IMPACT ON THE ENVIRONMENT

This paper provides an overview of the various sources of air pollution and their impact on the environment and human health, distinguishing between natural and anthropogenic (man-made) sources. The study assessed the environmental impact of these sources – the overall level of air pollution, taking into account the predominant anthropo-genic source, such as emissions from vehicles and industrial activities. The important role of geographic information systems (GIS) in monitoring air pollution, performing spatial data analysis, and identifying pollution hotspots is emphasized. This method proposes to analyze the impact of the air quality result on public health and the environment. The main focus of the study is on the predominant pollutants in the atmosphere such as particulate matter (PM), nitrogen oxides (NOx), and sulfur dioxide (SO2). The object of the study was the Old Town of the city of Vilnius. A calculation model was created in the MatLab environment to determine the pollution. The results reveal trends in environmental indicators. In the Old Town, decreasing pollution levels of PM10 and CO are observed, and NO2 remained relatively constant from 2020 the month of January until 2022 December. The primary importance of environmental monitoring depends on government regulation, technological advancements, and public participation to effectively reduce air pollution and protect the environment.

Fake News Detection using Machine Learning

Abstract: In recent years, the proliferation of fake news has precipitated numerous social and political quandaries. As the predominant source of information shifts towards digital platforms, discerning accountability for disseminated opinions becomes increasingly challenging, hindering authentication of received information. Given the pervasive nature of ecological and societal dilemmas, the role of machine learning in combating fake messages on social media is paramount. The virality of messages, whether genuine or fabricated, underscores the necessity for an automated, resilient, dependable, and efficient detection mechanism amidst multifarious challenges. This review delves into the contemporary landscape of fake news detection mechanisms within social media. By examining the contextual backdrop of fake news and its ramifications on users, we explore various methodological approaches categorized as content-based, social context-based, and hybrid-based methods. Culminating with an elucidation of four pivotal research challenges, this paper aims to steer future endeavors towards advancing the field.

Assessing heavy metal contamination in a Brazilian metropolis: a case study with a focus on (bio)indicators.

The continuous expansion of the global vehicle fleet poses a growing threat to environmental quality through heavy metal contamination. In this scenario, monitoring to safeguard public health in urban areas is necessary. Our study involved the collection of 36 street dust and 29 moss samples from roads of a Brazilian metropolis (Recife) with varying traffic intensities as follows: natural reserve (0 vehicles per day), low (< 15,000 vehicles per day), medium (15,000-30,000 vehicles per day), and high (> 30,000 vehicles per day). ICP-AES analysis was performed to determine the concentrations of nine potentially toxic metals (Ba, Cd, Cr, Cu, Mn, Ni, Pb, V, and Zn) to assess the influence of vehicular flow on urban contamination. In the street dust samples, the mean metal concentrations (mg kg-1) exhibited the following order: Ba (503.7) > Mn (303.0) > Zn (144.4) > Cu (95.3) > Cr (56.1) > Pb (34.2) > V (28.7) > Ni (11.3) > Cd (1.5). Conversely, in the moss samples, the metal concentration order was as follows (mg kg-1): Mn (63.8) > Zn (62.5) > Ba (61.0) > Cu (17.7) > Cr (8.0) > V (7.3) > Pb (7.0) > Ni (2.9) > Cd (0.3). Roads with higher traffic volumes exhibited the highest metal enrichments in moss samples for all metals and in dust samples for Cd, Cr, Mn, Ni, and V. However, dust from low-flow roads had higher enrichments for Ba, Cu, and Zn, indicating the influential role of other traffic-related factors in metal deposition. Our findings highlight traffic flow as the predominant source of pollution in urban centers, with both street dust and moss serving as sensitive indicators of metal input attributable to vehicular traffic. These indicators offer valuable insights for urban quality monitoring and pollution control efforts.

Assessment of the microbiological quality of fresh beef sold in butchers

The World Health Organization (WHO) warns about the dangers associated with diarrheal diseases, which cause more than two million deaths annually, with a significant proportion attributed to contaminated food. In Brazil, Salmonella, pathogenic Escherichia coli, Clostridium perfringens, as well as toxins from Staphylococcus aureus and Bacillus cereus, are identified as the main culprits, particularly in raw meat, processed items and offal, serving as predominant sources of contagion. Accordingly, the objective of this study was to evaluate the microbiological quality of fresh beef sold in butcher shops in the Cariri region, in the south of Ceará. For this, samples were obtained in four different facilities and examined at the Microbiology Laboratory of the Faculty of Juazeiro do Norte. The identification of Salmonella spp. was carried out using specific methodologies. Each establishment exhibited the presence of Salmonella in at least two replicates, suggesting inadequate suitability for consumption and failure to adhere to proper food handling protocols as stipulated by existing regulations, thus posing a potential threat to public health.

New approach methods to assess developmental and adult neurotoxicity for regulatory use: a PARC work package 5 project.

In the European regulatory context, rodent in vivo studies are the predominant source of neurotoxicity information. Although they form a cornerstone of neurotoxicological assessments, they are costly and the topic of ethical debate. While the public expects chemicals and products to be safe for the developing and mature nervous systems, considerable numbers of chemicals in commerce have not, or only to a limited extent, been assessed for their potential to cause neurotoxicity. As such, there is a societal push toward the replacement of animal models with in vitro or alternative methods. New approach methods (NAMs) can contribute to the regulatory knowledge base, increase chemical safety, and modernize chemical hazard and risk assessment. Provided they reach an acceptable level of regulatory relevance and reliability, NAMs may be considered as replacements for specific in vivo studies. The European Partnership for the Assessment of Risks from Chemicals (PARC) addresses challenges to the development and implementation of NAMs in chemical risk assessment. In collaboration with regulatory agencies, Project 5.2.1e (Neurotoxicity) aims to develop and evaluate NAMs for developmental neurotoxicity (DNT) and adult neurotoxicity (ANT) and to understand the applicability domain of specific NAMs for the detection of endocrine disruption and epigenetic perturbation. To speed up assay time and reduce costs, we identify early indicators of later-onset effects. Ultimately, we will assemble second-generation developmental neurotoxicity and first-generation adult neurotoxicity test batteries, both of which aim to provide regulatory hazard and risk assessors and industry stakeholders with robust, speedy, lower-cost, and informative next-generation hazard and risk assessment tools.

Comparative Study on Different Interpolation Methods and Source Analysis of Soil Toxic Element Pollution in Cangxi County, Guangyuan City, China

Spatial interpolation is a crucial aspect of soil toxic element pollution research, serving as a vital foundation for pollution assessment, treatment, and sustainability efforts. The selection and adjustment of interpolation methods directly influences the accuracy of spatial distribution maps and data results, thereby indirectly impacting related research. This paper conducts a comparative study of different interpolation methods and analyses the sources of soil toxic elements in the study area of Cangxi County, aiming to provide a scientific foundation for future soil management, remediation, and enhanced local sustainability. The spatial correlation of As, Cd, Hg, Mn, Pb, and Mo in 228 surface soil samples in the study area of Cangxi County is analyzed. The interpolation results, spatial distribution of OK (ordinary Kriging), IDW (inverse distance weighting), RBF (radial basis function) and the changes of pollution area after interpolation are compared. The smoothing effect is assessed based on the comparison results, interpolation accuracy, and impact on pollution assessment of OK, IDW, and RBF. The interpolation method most suitable for each metal in the study area is selected. It can be concluded that the optimal interpolation method for As, Hg, and Mn is IDW; for Cd and Mo, it is RBF; and for Pb, it is OK. After the correlation analysis of toxic elements in the soil of the study area, the PMF (positive matrix factorization) model and hotspot analysis is applied to analyzing the source of toxic elements. The analysis indicates that the predominant sources of pollution are anthropogenic, categorized into industrial activities (30.8%), atmospheric deposition caused by coal combustion and traffic exhaust (21.5%) and agricultural activities (19.5%). Natural sources, such as soil parent material, contribute to 28.2% of the pollution on average.