Sampling Period Research Articles

Comparative analysis of software used in anonymised search and seizure cases: acquisition, examination and analysis

It is discussed that within the production of digital evidence, the use of forensic software to support the acquisition, examination and analysis of evidence in a correct manner plays a role of great importance, mainly to maintain the credibility of evidence and its acceptance in the judiciary. The objective is to evaluate a sample of real judicial search and seizure cases that occurred between 2014 and 2023, presenting the forensic software used in each stage of each evaluated case. A random selection of one case will be made for each year, with anonymised data, to carry out a continuity analysis of the software used. The article seeks to identify whether these software remain in force or whether it has been discontinued, rendered obsolete or replaced over the selected sampling period, The research is structured in operational stages, starting with the selection of cases until the analysis of software continuity, revealing a predominance of software with valid status and indicating a tendency to update technological solutions in the field of digital forensics. The results also highlight the need for periodic reviews of the solutions that exist in the market. Based on the sample analyzed, the software evaluated shows, in their majority, continuity, with 87.5% of the solutions considered current when adding the software in force and replaced. This study contributes to the understanding of the evolution of forensic software by offering details on the status of continuity of such software for the digital evidence production process and the respective credibility of the acceptance of evidence in the judicial environment.

The dynamic connectedness between collateralized loan obligations and major asset classes: a TVP-VAR approach and portfolio hedging strategies for investors

AbstractMotivated by the increasing demand for alternative assets that can contribute to reducing portfolio risk, this paper examines the volatility spillovers between collateralized loan obligations (CLOs) and various in-demand investment instruments, including equities, bonds, crude oil, commodities, gold, bitcoin, shipping and real estate. The applied methodology comprehends the time-varying parameter vector autoregressive (TVP-VAR) modification of the classical spillover approach, for the period from January 1, 2012, to August 31, 2023. The empirical findings show moderate levels of dynamic connectedness; albeit several external shocks strengthened the interconnection among the assets. Moreover, we compare the ability of CLOs for hedging, during the overall sample period and multiple subperiods, by estimating hedge ratios and optimal portfolio weights, in order to inform investors about feasible portfolio adjustments. Our results indicate that CLOs constitute an effective hedging tool, irrespective of the period covered, as the short position in their volatility provides high hedging effectiveness for investors holding long positions in the volatility of all the remaining assets.

Does intellectual capital reduce the probability of default?

PurposeThis study aims to examine the impact of intellectual capital (IC) on default risk in Indian companies listed on the National Stock Exchange.Design/methodology/approachThis study applies panel data regression analysis to derive a relationship between IC and default risk for the sample period 2013–2022. The value-added intellectual coefficient (VAIC) of Pulic (2000) has been applied to measure IC performance, and default risk is estimated using the revised Z-score model of Altman (2000).FindingsThe results revealed a positive association between Z-score and VAIC. It implies that a higher value of VAIC improves financial stability and leads to a lower likelihood of default. The findings further suggest that new default forecasting models can be experimented with IC indicators for better default prediction.Practical implicationsThe findings can have implications for investors and banks. This paper provides evidence of IC performance in improving the financial solvency of firms. Investors and financial institutions should invest their resources in a healthy firm that effectively manages and invests in their IC. It will eventually award investors and creditors high returns through efficient value-creation processes.Originality/valueThis study provides evidence of IC performance in improving the financial solvency of Indian high-defaulting firms, which lacks sufficient evidence in this domain of research. Numerous studies exist examining the relationship between firm performance and IC value, but this area is inadequately focused and underresearched. This study, therefore, fills the research gap from an Indian perspective.

Counting alpha particles produced by radon daughters using commercial off-the-shelf complementary metal oxide semiconductor (COTS CMOS) image sensors

Radon (Rn-222) is the main source of radiation exposure to human beings from natural radiation; it is of great significance to study the measuring methods and measuring instruments of radon for natural radiation protection. In recent years, the application of pixel detectors in radiation detection has attracted attention. In this paper, a Commercial Off-the-Shelf Complementary Metal Oxide Semiconductor (COTS CMOS) image sensor which replaces the glass for protection covering in front of the sensors was used to perform a series of measurements to identify alpha particles. During the experiment, the CMOS image sensor was used to record a video during the sampling period, and then use the FFmpeg software to take screenshots of the video by frame. MATLAB was used to count bright spots from the image frames. A measurement chamber was designed to measure radon concentrations, and when the relative humidity was constant, the count of alpha particles by the CMOS image sensor increased along with the increase of the concentration. The experiments verified the feasibility of the low-cost COTS CMOS image sensors to monitor radon.

Lightweight AC Arc Fault Detection Method by Integration of Event-Based Load Classification

As the main cause of electrical fires, arc fault detection attracts lots of attention in recent years. However, with the growing complexity of electric loads, arc fault detection becomes more difficult. This paper proposes a lightweight arc fault detection method that integrates load classification into fault detection. Firstly, according to the turn-on patterns, we divide loads into resistive, inductive and switchable loads. Load classification is developed using an event-based method. Then, arc detection method is developed for each load category, which is achieved through sequential forward floating selection. Its performance is validated by the experiment data and comparison with other reported methods. Meanwhile, the selection of classifiers, sampling rate, and sampling periods for arc fault detection are also discussed in detail. The results show that the proposed method not only achieves a high fault detection performance but also keeps a relatively low sampling rate and short sampling period. Thus, it is beneficial for practical arc fault interrupter development.

Interplay of crises: Unpacking intraday spillovers in oil and European equities in the shadow of the COVID-19 and the Ukraine-Russia war

This study investigates the time-varying frequency of spillovers between European stock markets and oil during the COVID-19 pandemic and the Russia-Ukraine war. Using the spillover index by Diebold & Yilmaz, 2012 and Baruník & Křehlík, 2018, we analyze high-frequency data at a 5-min interval to analyze the interplay between crude oil market returns and the Stoxx 600 index returns, including sectors such as auto, basic material, banks, chemicals, food and beverage, health, industrials, insurance, oil and gas, retail, real estate, technology (tech), telecommunication (telecom), and utilities. The sample period is January 3, 2022, to March 25, 2022. Our findings reveal a substantial degree of connectedness within this financial network, with specific sectors—auto, chemicals, food, industrials, insurance, real estate, retail, tech, and telecom—acting as net transmitters of shocks, while other sectors assume the role of net receivers. The Russia-Ukraine war is a significant driver of these interconnected dynamics. Spillovers are most prevalent in the medium-term horizon, with the time dimension affecting the role of sectors and oil. Furthermore, our research highlights the potential benefits of adding oil assets to portfolios, enhancing risk-adjusted performance. However, ongoing risk management remains crucial due to the dynamic hedge ratios. This study offers practical insights for investors and policy makers, aiding risk management and investment strategies in turbulent markets.

Sequential Fusion Estimation for Multirate Complex Networks With Uniform Quantization: A Zonotopic Set-Membership Approach.

In this article, the sequential fusion estimation problem is investigated for multirate complex networks (MRCNs) with uniformly quantized measurements. The process and measurement noises, which are unknown-yet-bounded (UYB), are restrained into a family of zonotopes, and the multiple sensors are allowed to have different sampling periods. To facilitate digital transmissions, the sensor measurements are uniformly quantized before being sent to the remote estimator. The purpose of this article is to design a sequential set-membership estimator such that, in the simultaneous presence of UYB noises, multirate samplings, and uniform quantization effects, the estimation error (after each measurement update) is confined to a zonotope with minimum F -radius at each time instant. By introducing certain virtual measurements, the MRCNs are first transformed into single-rate ones exhibiting a switching phenomenon. Then, by utilizing the properties of zonotopes, the desired zonotopes are derived, which contain the estimation error dynamics after each measurement update. Subsequently, the gain matrices of the sequential estimator are derived by minimizing the F -radii of these zonotopes, and the uniform boundedness is analyzed for the F -radius of the zonotope containing the estimation error after all measurement updates. Furthermore, sufficient conditions are derived to ensure the existence of the desired uniform upper/lower bounds. Finally, an illustrated example is proposed to show the effectiveness of the proposed sequential fusion estimation method.

Evaluation of marginal abatement cost and potential reduction in China's industrial carbon emissions: A quadratic directional output distance function approach

As a relevant indicator for quantifying the value of carbon emissions, the marginal abatement cost (MAC) of carbon emissions has received increasing attention from academics and policymakers. This study uses a quadratic directional output distance function to analyse the technical efficiency, potential emission reduction and shadow prices of China's industrial carbon emissions. The results show that the technical efficiency of China's industry gradually decreased during the sample period. From the perspective of regions with different carbon intensity and industrial output, regions with lower carbon intensity and higher industrial output gradually closed to the optimal frontier for the technology use level and had relatively high technical efficiency. Rising technical inefficiency and carbon emissions led to a potential emission reduction that also exhibits an upwards trend. In addition, the MAC of industrial carbon emissions exhibits a U-shaped trajectory, with 2011 as the turning point. Generally, in recent years, regions with lower carbon intensity and those with higher industrial output have a relatively high MAC for industrial carbon emissions. The empirical findings reveal that a carbon emission reduction policy should be formulated and targeted to each province, and the principle of ‘easy before difficult’ can be followed to promote emission reduction.

Analysis of the relationship of gold prices with inflation and bitcoin in the post-tapering period

We analyze the hedging feature of gold against inflation by analyzing the factors affecting gold prices for the post-2013 period, including the tapering process in the United States. Our results show that especially demand for gold Exchange Traded Funds (ETFs) and US 10-year bond rates are effective on gold prices in this period. Inflation has no statistically significant effect on gold prices over the sample period; however, in the subperiod, excluding 2014–2019, inflation has a statistically significant positive impact on gold prices. We conclude that gold does provide a partial hedge against inflation as an investment tool, at least for the recent period. Furthermore, our analysis of Bitcoin's effect on gold prices starting in the second half of 2016 shows no statistically significant relationship.

Anthropogenic particle concentrations and fluxes in an urban river are temporally variable and impacted by storm events.

Anthropogenic particles (AP), which include microplastics and other synthetic, semisynthetic, and anthropogenically modified materials, are pollutants of concern in aquatic ecosystems worldwide. Rivers are important conduits and retention sites for AP, and time series data on the movement of these particles in lotic ecosystems are needed to assess the role of rivers in the global AP cycle. Much research assessing AP pollution extrapolates stream loads based on single time point measurements, but lotic ecosystems are highly variable over time (e.g., seasonality and storm events). The accuracy of models describing AP dynamics in rivers is constrained by the limited studies that examine how frequent changes in discharge drive particle retention and transport. This study addressed this knowledge gap by using automated, high-resolution sampling to track AP concentrations and fluxes during multiple storm events in an urban river (Milwaukee River) and comparing these measurements to commonly monitored water quality metrics. AP concentrations and fluxes varied significantly across four storm events, highlighting the temporal variability of AP dynamics. When data from the sampling periods were pooled, there were increases in particle concentration and flux during the early phases of the storms, suggesting that floods may flush AP into the river and/or resuspend particles from the benthic zone. AP flux was closely linked to river discharge, suggesting large loads of AP are delivered downstream during storms. Unexpectedly, AP concentrations were not correlated with other simultaneously measured water quality metrics, including total suspended solids, fecal coliforms, chloride, nitrate, and sulfate, indicating that these metrics cannot be used to estimate AP. These data will contribute to more accurate models of particle dynamics in rivers and global plastic export to oceans. PRACTITIONER POINTS: Anthropogenic particle (AP) concentrations and fluxes in an urban river varied across four storm events. AP concentrations and fluxes were the highest during the early phases of the storms. Storms increased AP transport downstream compared with baseflow. AP concentrations did not correlate with other water quality metrics during storms.

Energy-Efficient Distributed Formation Control of Sampled-Data Multiagent Systems With Packet Losses.

This article investigates an energy-efficient formation control problem for multiagent systems with sampled data and random packet losses. A Bernoulli stochastic variable is used to describe packet losses, which is defined relative to the transmission energy consumed by antennas. A distributed sampled-data formation control law is designed and some analytic sufficient conditions on the formation control are derived. It is revealed that the sampling period, control parameters, network topology, as well as the transmission energy used by sensors impose inherent limitations in achieving the formation. Also, a method for searching the minimum allowable transmission energy is presented. Finally, numerical simulations are shown for illustration and verification.

Dietary supplementation of Withania somnifera and Asparagus racemosus enhances growth performance coupled with transcriptional modulation of growth and immune responsive genes in fish, Channa punctatus

The growth amelioration potential of two herbal feed supplements, Withania somnifera and Asparagus racemosus, individually and in combination, was evaluated up to 60 days of feeding trial in a teleost, Channa punctatus. 15 days laboratory acclimatized fish (14 ± 1) g; (11 ± 1) cm were randomly distributed in 10 groups- C (control), S1, S2, S3, A1, A2, A3, AS1, AS2, and AS3, based on the composition of the dietary supplements. Each group had 10 specimens (n = 10), and the experiment was performed in triplicate. Elevated final body weight (FBW) was observed in all groups except S1 after 60 days, and weight gain percentage (WG %) showed a significant increase in all groups except S1 after both 30 and 60 days of the sampling periods with a significance level of P < 0.05. In contrast, the feed conversion ratio (FCR) significantly (P < 0.05) decreased in all experimental groups, except S1, as compared to the control, after 60 days of sampling duration. The hepatosomatic index (HSI %) significantly (P < 0.05) increased in groups - S3, A2, A3, AS1, AS2, and AS3; while the viscerosomatic index (VSI %) also significantly (P < 0.05) enhanced in groups - A3, AS1, AS2, and AS3 as compared to C. Significant (P < 0.05) elevations in activities of both trypsin and chymotrypsin, after both the sampling durations were recorded; the maximum being in AS3 as 3.47 and 2.06-fold, respectively, after 60 days, suggests greater protein digestibility. The qRT-PCR analysis displays an up-regulation of growth-related genes-gh, igf-1, and igf-2a, both in the liver and muscle tissues. Also, gh showed greater expression at transcriptional levels in liver tissues (4.86)-fold than muscle tissues (4.43)-fold in AS3; whereas igf-1 and igf-2a were significantly (P < 0.05) upregulated in the muscles of AS2 and AS3 as compared to C. Further, significantly (P < 0.05) increased expression of the transforming growth factor-β (tgf-β) in liver tissues was recorded in groups- AS1, AS2, and AS3, as compared to C, suggesting the immunoprotective role of combined dietary supplements. The study envisages that 3% dietary supplementation with both herbs (AS3) sufficiently influences the activities of digestive enzymes, growth indices, and mRNA levels of growth-related and immunoprotective genes in the fish. The study thus finds ample scope in aquaculture.

IJCM_286A: Will India able to bend the curve? TB Elimination in India by 2025

Background: Tuberculosis in India is a major public health problem. The National Strategic Plan 2017-2025 aims to achieve a rapid decline in burden of TB, morbidity and mortality while working towards elimination of TB in India by 2025. By proper care and treatment of TB patients, the battle against TB can be won. In the current scenario, forecasting of Tuberculosis incidence and annual case notification rate could help policy makers in planning an effective intervention at the right time keeping in mind the target for TB elimination. Objectives: 1) To study the trend of Tuberculosis in India. 2) To forecast the incidence and annual case notification rate due to Tuberculosis in India for next 3 years. Methodology: Data regarding the incidence and annual case notification rate were collected from the annual reports of Tuberculosis published by Central TB Division, Government of India. Data from the sources were collected in a data extraction sheet and entered in MS excel. Gretl software was used for data analysis. Autoregressive Integrated Moving Average (ARIMA) method was used to select the best fitted model for available time series data and using the selected model incidence and annual case notification rate were forecasted for next 3 years. Results: The study showed an upward trend in incidence and annual case notification rate in the sampling and post sampling period. According to the forecast, for the year 2025 the incidence of Tuberculosis will be 28.36 lakhs (95%CI- 26.4886, 32.8556) and annual case notification rate will be 178 (95%CI- 144, 211). Conclusion: There is an upward trend of Tuberculosis incidence and annual case notification rate in India in forecasted period. To achieve the set targets, the policy makers need to plan and implement more effective interventions at the right time.

Resilient event-triggered observer-based control of non-linear systems under denial-of-service attacks with actuator saturation

This paper studies the control problem for a continuous-time networked system with non-linearity in the state equation as well as in the input, as saturation. The system is considered under denial-of-service (DoS), attacks which cause the blockage of input and/or output components in the overall closed-loop model. An event-triggering scheme that is resilient in nature, along with an observer-based control, has been considered under DoS attacks. The resultant scheme ensures efficient network resources and excludes Zeno behavior naturally due to the presence of a minimum positive interevent delay. Then, an event-based switched non-linear model is presented to address both the event-triggering scheme and the presence of DoS blocking attacks. A piece-wise Lyapunov–Krasovskii functional method on the described non-linear model, resulting in the switched system, is considered for achieving an exponentially stable response by driving the required feasibility conditions. In the presence of a non-linear system with saturation in the actuator, the presented design establishes quantitative relationships among the exponential decay rate, active/sleeping intervals of attacks, parameters of the event-triggering condition, and sampling period of the system. After that, linear matrix inequalities are presented for designing an event-triggered controller with an observer, while the design also includes the region of convergence for dealing with the input non-linearity. Finally, comparative results for an offshore structure model with non-linearity in states as well as in actuator, are demonstrated to verify the results of the control scheme that is developed. It has been verified that our design is less conservative than the previous designs, and can handle the non-linearities in the dynamics of plant and actuator saturation more efficiently, while DoS attacks are also present. By applying our proposed method, the overshoot and undershoot are less than ±2.5 percent, while system states converge to the origin within 55 s.

Price-Volume Relationship in Bitcoin Futures ETF Market: An Information Perspective

Bitcoin futures exchange-traded funds (ETFs) are recent innovations in cryptocurrency investment. This article studies the price-volume relationship in this market from an information perspective. We first propose effective mutual information which has better estimation accuracy to analyze the contemporaneous relationship. Using half-hourly trading data of the world’s largest Bitcoin futures ETF, we find that trading volume changes and returns contain information about each other and are contemporaneously dependent. Then, we employ effective transfer entropy to examine the intertemporal relationship. The results show that there exists information transfer from volume changes to returns in most of our sample period, suggesting the presence of return predictability and market inefficiency. However, information transfer in the opposite direction occurs much less frequently, and the amount is typically smaller.

Characterizing the effects of morphological microstructures and hydropeaks on fish stranding in rivers

AbstractFish stranding in rivers, due to rapid shoreline dewatering, often occurs during the down‐ramping phase of hydropeaks, which enables peak energy production. Multiple hydropeaking characteristics and river morphology influence stranding, but little is known about the effects of riverbed microstructures. Our goal was to identify how the combination of hydropeaking characteristics and the occurrence of morphological microstructures (e.g., puddles and scour pools) influences fish stranding. For this purpose, we used an extensive dataset of fish stranding observations collected over 3 years in spring at 48 sites along a 50 km‐long reach of the Ain River, France. We aimed (1) to characterize stranding events and their associated fish assemblages and (2) to identify the spatial and temporal determinants of stranding. The occurrence of morphological microstructures was the main factor explaining fish stranding. Scour pools had a strong impact, followed by scour puddles, humid zones, and alluvial puddles. Then, hydropeaking characteristics interacted with morphology and modulated the intensity of stranding. Low flow ranges (low peak flow and low base flow) occurring after periods without hydropeaks induced ‘salmonid fry’ stranding events and ‘super‐stranding’ events (massive stranding of many taxa). Other flow ranges induced ‘regular cyprinid fry’ stranding events. Salmonids were particularly subject to stranding at the beginning of the sampling period. Recommendations are (1) to act in priority on sites where stranding is most likely, by morphological operations or by installing attractive structures in the perennial area and (2) to maintain attractive, perennial habitats in the low flow range of hydropeaks, for example, by increasing base flow.

IFRS adoption and the value-relevance of financial statements figures in Nigeria

Research Question: Has IFRS adoption improved the value-relevance of financial statement figures in Nigeria? Motivation: The informativeness of the reported earnings, book values, and cash flows depends on the accounting standards used in preparing the financial statements. IFRS is a global set of accounting standards that tries to improve the relevance of accounting figures by recommending more realistic measurement and recognition criteria and increasing the level of disclosure of relevant information. Idea: The value relevance of accounting figures in predicting stock prices is widely acknowledged. However, this study tests whether IFRS adoption significantly improves this value-relevance by increasing the degree of correlation between accounting figures and stock prices in Nigeria. Data: The data were collected from the Bloomberg market data terminal and Datastream financial database. A sample of 85 listed companies was selected. The sample period was from 2007 to 2016. Tools: The study applied the Ohlson model (using fixed and random-effect models) along with the Driscoll-Kraay standard errors (DKSE) and Panel-corrected standard errors (PCSE) to anticipate autocorrelation, heteroscedasticity, and cross-sectional dependence biases. The Ohlson model was estimated separately for the pre- and post-IFRS adoption periods to detect changes in value relevance. The interactions of the IFRS dummy with earnings, book values, and cash flows were also estimated separately to detect the significance of IFRS interaction with the accounting figures. Findings: The results showed an overall increase in value-relevance by comparing adjusted R2s across the pre- and post-IFRS adoption period. Also, the interactions of IFRS with earnings, book value, and cash flows were all significant. Contribution: The study contributes to the existing literature by including cash flow in the value-relevance test in Nigeria and by applying estimation techniques that control for possible estimation biases. The authors recommend that investors pay more attention to these accounting figures under the IFRS regime when making investment decisions.

Effects of Garlic Oil and Cinnamaldehyde on Sheep Rumen Fermentation and Microbial Populations in Rusitec Fermenters in Two Different Sampling Periods.

Garlic oil (GO) and cinnamaldehyde (CIN) have shown potential to modify rumen fermentation. The aim of this study was to assess the effects of GO and CIN on rumen fermentation, microbial protein synthesis (MPS), and microbial populations in Rusitec fermenters fed a mixed diet (50:50 forage/concentrate), as well as whether these effects were maintained over time. Six fermenters were used in two 15-day incubation runs. Within each run, two fermenters received no additive, 180 mg/L of GO, or 180 mg/L of CIN. Rumen fermentation parameters were assessed in two periods (P1 and P2), and microbial populations were studied after each of these periods. Garlic oil reduced the acetate/propionate ratio and methane production (p < 0.001) in P1 and P2 and decreased protozoal DNA concentration and the relative abundance of fungi and archaea after P1 (p < 0.05). Cinnamaldehyde increased bacterial diversity (p < 0.01) and modified the structure of bacterial communities after P1, decreased bacterial DNA concentration after P2 (p < 0.05), and increased MPS (p < 0.001). The results of this study indicate that 180 mg/L of GO and CIN promoted a more efficient rumen fermentation and increased the protein supply to the animal, respectively, although an apparent adaptive response of microbial populations to GO was observed.

Lamax: determining the optimal test duration for maximal lactate formation rate during all-out sprint cycle ergometry.

This study aimed to ascertain the optimal test duration to elicit the highest maximal lactate formation rate ( Lamax), whilst exploring the underpinning energetics, and identifying the optimal blood lactate sampling period. Fifteen trained to well-trained males (age 27 ± 6years; peak power: 1134 ± 174W) participated in a randomised cross-over design completing three all-out sprint cycling tests of differing test durations (10, 15, and 30s). Peak and mean power output (W and W.kg-1), oxygen uptake, and blood lactate concentrations were measured. Lamax and energetic contributions (phosphagen, glycolytic, and oxidative) were determined using these parameters. The shortest test duration of 10s elicited a significantly (p = 0.003; p < 0.001) higher Lamax (0.86 ± 0.17mmol.L-1.s-1; 95% CI 0.802-0.974) compared with both 15s (0.68 ± 0.18mmol.L-1.s-1; 95% CI 0.596-0.794) and 30s (0.45 ± 0.07mmol.L-1.s-1; 95% CI 0.410-0.487). Differences in Lamax were associated with large effect sizes (d = 1.07, d = 3.15). We observed 81% of the PCr and 53% of the glycolytic work completed over the 30s sprint duration was attained after 10s. BLamaxpost were achieved at 5 ± 2min (ttest 10s), 6 ± 2min (ttest 15s), and 7 ± 2min (ttest 30s), respectively. Our findings demonstrated a 10s test duration elicited the highest Lamax. Furthermore, the 10s test duration mitigated the influence of the oxidative metabolism during all-out cycling. The optimal sample time to determine peak blood lactate concentration following 10s was 5 ± 2min.

Analysis of dry and wet season water quality in the municipality of La Gomera, Guatemala

Abstract There is a need for access to clean potable water worldwide. However, almost every source of surface water in Guatemala is contaminated. This study assesses the potential exposure to water contaminants in proximity to Medecins Sans Frontieres's (MSF) chronic kidney disease clinic population in La Gomera, Guatemala during wet and dry seasons. Five municipal wells and four artisanal wells (servicing approximately 18.9% of La Gomera) were selected for their proximity to MSF La Gomera clinic to determine the presence of coliforms, physicochemical parameters, heavy metals, and pesticide residues. Water samples were collected over 3 consecutive days during La Gomera's wet season and again during the dry season. Wet season 2022: Total coliforms and Escherichia coli exceeded the acceptable limits for several artisanal wells but were not detected in municipal wells. Mercury and arsenic were detected in all wells during at least one sampling period. Dry season 2023: Total coliforms exceeded the acceptable limits for all wells and E. coli was detected in all four artisanal wells. Lead and arsenic were detected in all wells. Our results suggest that water from artisanal wells does not meet COGUANOR or WHO microbiological criteria for human consumption.