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Abstract: In November 2021, the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop was held, which involved hundreds of researchers from dozens of institutions. There were 17 sessions held at the workshop, including one on ecohydrology. The ecohydrology session included various breakout rooms that addressed specific topics, including 1) soils and belowground areas; 2) watersheds; 3) hydrology; 4) ecophysiology and plant hydraulics; 5) ecology; 6) extremes, disturbance and fire, and land-use and land-cover change; and 7) uncertainty quantification methods and techniques. In this paper, we investigate and report on the potential application of artificial intelligence and machine learning in ecohydrology, highlight outcomes of the ecohydrology session at the AI4ESP workshop, and provide visionary perspectives for future research in this area.

Abstract In this work, we show that quantum state discrimination can be modified due to a change in the underlying topology of a system. In particular, we explicitly demonstrate that the quantum state discrimination of systems with underlying discrete topology differs from that of systems with underlying continuous topology. Such changes in the topology of a spacetime can occur in certain quantum gravity approaches. In fact, all approaches to quantum gravity can be classified into two types: those with underlying continuous topology (such as string theory) and those with an underlying discrete topology (such as loop quantum gravity). We demonstrate that the topology of these two types of quantum gravity approaches has different effects on the quantum state discrimination of low-energy quantum systems. We also show that any modification of quantum mechanics, which does not change the underlying topology, does not modify quantum state discrimination.

Observation-based climate model evaluation and future projections help policymakers in developing action plans for efficient management of water resources and mitigation of the impacts of hazardous extremes. Apart from this socioeconomic importance, the scientific value cannot be overstated, especially in light of the upcoming Fifth U.S. National Climate Assessment (NCA) report. In this study, we evaluate the realism of hydroclimate variability in the historical simulations of a suite of coupled general circulation models (CGCMs) participating in the fifth and sixth phases of the Coupled Model Intercomparison Project (CMIP5 and CMIP6). Our results demonstrate systematic biases in the simulated seasonal precipitation-most prominently, wet bias over the mountainous western United States in winter, and dry bias over the U.S. central plains in summer. A distinctive feature of this work is our focus on the examination of the atmospheric water budget, in particular the relative importance of remote and local contributions-convergence of moisture fluxes and local land surface processes (evapotranspiration) respectively-in helping produce precipitation. This diagnosis reveals that the leading contribution of the remote influence in winter is overestimated by the CMIP6 multimodel mean (MMM), whereas the local influence, which is more influential in summer, is underestimated. Our results aid in understanding the drivers of seasonal precipitation over the United States, where precipitation will likely increase by the end of the century but with significant model disagreement for the summer and fall. In support of ongoing NCA efforts, our study aims to contribute a comprehensive, regional-level analysis of the moisture budget and emphasizes the importance of realistically simulating its major components in CGCMs.

The contamination of large water bodies through crude oil production led the people of Nigeria's oil-bearing Niger Delta to seek new means of livelihood away from aquaculture. This led some of their youths to engage in distillation of crude oil using locally fabricated equipment in what is known as artisanal refineries. In order to supply their makeshift refineries with crude oil, they illegally tap into pipelines and other petroleum infrastructures which traverse the region. Both their refining activities and their method of obtaining crude oil are adjudged illegal and so were criminalized by the Nigerian state. To enforce their criminalization, the government resorted to the deployment of joint military taskforces and other kinetic measures. But rather than quell the practices, the government's responses appear to have aggravated the situation. This paper uses a variety of sources, including focus group discussions (FGDs), key informant interviews (KIIs), and field observations to investigate how the criminalization of artisanal oil refining operations has contributed to worsening the security environment of petroleum production in Nigeria. Our findings show that artisanal oil refining, though instigated by the deplorable economic and environmental challenges in the oil-bearing communities, has attracted a complex web of actors whose capacity for clandestine activities is immense. As such we found the government's responses inadequate for dealing with the problem due to its failure to both unravel the web of interests and address the root causes of the problem. We then prescribe a dynamic problem-solving approach for resolving oil activism in Nigeria holistically., Author(s): Michael I. Ugwueze [sup.1], Samuel A. Asua [sup.3], Samuel A. Mbadah [sup.1], Paulinus E. Ezeme [sup.1] [sup.2], Peter L. Atime [sup.1], Josephine N. Obioji [sup.4], Elias C. Ngwu [sup.1] [...]

Abstract Background Artisanal and small-scale gold mining (ASGM) areas potentially pose increased exposure to arsenic and mercury through community contamination, occupations at gold mines, and/or geophagy when soil is locally sourced. This study examined the effects of geophagy, a deliberate soil eating practice, along with community and occupational exposures in ASGM areas on urinary arsenic and blood mercury levels among pregnant women in the Mining and Health Longitudinal Cohort in northwestern Tanzania. Methods Data on maternal arsenic and mercury levels were captured for 1056 pregnant women using an unprovoked morning urine samples and dried blood spots respectively. We used a step-wise generalized linear regression model to retain the most relevant covariates for the model. A generalized linear regression model with identity link function was used to predict the effect of geophagy practices on arsenic and mercury levels separately. The model was adjusted using sociodemographic correlates, including maternal age, education level, whether respondents lived in mining or non-mining area, years of residence, marital status, maternal occupation, individual partner’s education, and occupational, and socioeconomic status. Results In the adjusted regression model, eating soil during pregnancy increased arsenic concentration by almost 23% (β = 1.229, 95% CI: 1.094, 1.38, p

Motivated by recent works, we employ the bounds on the dimensionless quantum-gravity parameter obtained from six solar system-based gravitational tests in order to obtain bounds on the dimensionless parameter of the generalized uncertainty principle with linear and quadratic terms in momentum. The bounds obtained here are much tighter than those obtained, from the same six solar system-based gravitational tests, for the dimensionless parameter of the uncertainty principle with only quadratic terms in momentum.

The seasonal-to-decadal terrestrial water balance on river basin scales depends on several well-characterized but uncertain soil physical processes, including soil moisture, plant available water, rooting depth, and recharge to lower soil layers. Reducing uncertainties in these quantities using observations is a key step toward improving the data fidelity and skill of land surface models. In this study, we quantitatively characterize the capability of Gravity Recovery and Climate Experiment (NASA-GRACE) measurements-a key constraint on total water storage (TWS)-to inform and constrain these processes. We use a reduced-complexity physically based model capable of simulating the hydrologic cycle, and we apply Bayesian inference on the model parameters using a Markov chain Monte Carlo algorithm, to minimize mismatches between model-simulated and GRACE-observed TWS anomalies. Based on the prior and posterior model parameter distributions, we further quantify information gain with regard to terrestrial water states, associated fluxes, and time-invariant process parameters. We show that the data-constrained terrestrial water storage model can capture basic physics of the hydrologic cycle for a watershed in the western Amazon during the period January 2003 through December 2012, with an r2 of 0.98 and root mean square error of 30.99 mm between observed and simulated TWS. Furthermore, we show a reduction of uncertainty in many of the parameters and state variables, ranging from a 2 % reduction in uncertainty for the porosity parameter to an 85 % reduction for the rooting depth parameter. The annual and interannual variability of the system are also simulated accurately, with the model simulations capturing the impacts of the 2005-2006 and 2010-2011 South American droughts. The results shown here suggest the potential of using gravimetric observations of TWS to identify and constrain key parameters in soil hydrologic models.

Recent technological advances have led to tremendous capacities for collecting, storing and analyzing data being created at an ever-increasing speed from diverse sources. Academic institutions which offer open and distance learning programs, such as the Hellenic Open University, can benefit from big data relating to its students' information and communication systems and the use of modern techniques and tools of big data analytics provided that the student's right to privacy is not compromised. The balance between data mining and maintaining privacy can be reached through anonymisation methods but on the other hand this approach raises technical problems such as the loss of a certain amount of information found in the original data. Considering the learning process as a framework of interacting roles and factors, the discovery of patterns in that system can be really useful and beneficial firstly for the learners and furthermore, the ability to publish and share these results would be very helpful for the whole academic institution.

Transepithelial electrical resistance (TEER) is a widely used technique for quantifying the permeability of epithelial and endothelial cell layers. However, traditional methods of measuring TEER are limited to single timepoint measurements and can subject cells to an altered environment during the measurement. Here, we assessed the validity of TEER measurements by the ECIS TEER96 device, which is designed to take continuous TEER measurements of a cell culture system in a standard laboratory incubator. We found that the instrument accurately measures TEER across TEER values ranging from 10 to 2050 Ω*cm2 and is more accurate than the manual epithelial voltohmmeter electrode at high TEER values. Furthermore, the high-resolution measurements provided by the device allowed for a unique insight into the mechanisms and kinetics of cells in vitro. To demonstrate the continuous measurement capability of the device, we tracked the formation of an MDCKI cell monolayer until TEER plateaued. Furthermore, we treated Caco-2 monolayers with different concentrations of DMSO and the antimicrobial and surfactant compound benzethonium chloride to measure disruptions to barrier integrity. Treatment of both compounds resulted in concentration-dependent loss of barrier integrity. Our results suggest that the ECIS TEER96 device is a reliable and convenient option for measuring TEER in cell cultures and can provide valuable insights into the behavior of cells in vitro. This technology will be especially useful for increasing throughput of drug permeability assays, inflammation studies, and gaining better understanding of disease states in a cell culture system.

Congenital anomalies in Sub-Sahara Africa (SSA) are understudied despite the significant pediatric health burden. This retrospective longitudinal hospital-based study evaluated the records of 326 inpatient children under the age of two years with congenital anomalies at Bugando Medical Centre, a tertiary referral hospital in northwestern Tanzania. Classical logistic regression was used in the analysis of congenital malformation of muscles, gastrointestinal malformation, oral facial clefts, neural tube defects, and skeletal malformations. A modified poisson regression was used to model risk factors for Central Nervous System (CNS) hydrocephalus and congenital heart disease (CHD). A majority (78.8%) of children included in the study were less than six months of age. Nearly half (48.8%) were diagnosed with CHD followed by CNS hydrocephalus (10.4%) and congenital malformation of muscles (8.9%). Babies whose mothers missed periconceptual folic acid supplementation had 83% higher risk of hydrocephalus (aPR = 1.83, 95% CI = 1.11-1.96) and 78% higher for CHD (aPR = 1.78, 95% CI = 1.31-1.94). Male children had 1.67 higher odds of muscular congenital malformations (aOR = 1.67, 95% CI = 1.23-1.89). Less than 37 gestational age had a 1.86 higher odds of muscular congenital malformations (aOR = 1.86, 95% CI = 1.53-3.66). Our study highlights the critical need for folic acid supplementation and establishes a need for a registry and the potential for mapping.

Often with minimal formal training and protections, informal welders face significant occupational health and safety (OSH) risks. This cross-sectional study of 219 adult informal welders at 70 informal welding sites in Mwanza City, Tanzania aimed to: 1) capture knowledge and awareness of occupational risks and safety precautions, training, and self-reported work-related injuries and illness and 2) observe worker use of personal protective equipment and site safety. We hypothesized that knowledge, awareness, and site inspections would improve use of PPE and that improved safety and site inspections would reduce self-reported injuries and illness. A generalized linear model (GLM) was used to model all relationships. Robust standard error estimation was used to avoid overestimation of parameters. Having a post-secondary education (aβ = 1.01, 95% CI: 0.962, 1.061; p = 0. 0679), having training in OSH (aβ = 0.927, 95% CI: 0.872, 0.984, p = 0.014), increased knowledge of occupational risks (aβ = 1.305, 95% CI: 1.143, 1.491; p

Solid waste has been a major problem particularly in Sub-Saharan Africa countries as it has been increasing in several years. One of the methods employed in solid waste management is street sweeping which is done by street sweepers. Street sweepers are being predisposed to respiratory and non-respiratory infection like eye infection, skin infection and musculoskeletal disorders. This analytical cross-sectional study enrolled a total of 233 street sweepers to assess perceived occupational health risks, particulate matters (i.e., PM2.5, PM5 and PM10 measured in (mg/m3)) dust and noise exposure levels in decibel units-dB(A), and utilization of protective personnel equipment among street sweepers in Mwanza city, Northern Tanzania. Modified poison regression was used to determine the association between exposures variables (i.e., sociodemographic, and socioeconomic factors) and outcomes ((i.e., noise dose level and particulate matters))). More than half (50.2%) of the participants were aged between 46-80 years. Their Median age was 46(IQR: 28-59) years. Large percent (63.1%) of the participants reported that their working environment have high health risks. The Median concentrations of the noise dose and particulates matters were 85.4 (IQR = 76.4-92.3) for noise dose, 13426 (IQR = 9637-17632) for PM2.5, 5522 (IQR = 2453-7679) for PM5, and 2310(IQR = 1263-3201). The Median concentrations of the noise dose and particulates matters were 85.4 (IQR = 76.4-92.3) for noise dose in decibel units dB(A); 13426 (IQR = 9637-17632) for PM2.5; 5522 (IQR = 2453-7679) for PM5; and 2310(IQR = 1263-3201) for PM10. Individual Street sweepers in Mwanza city are highly exposed to noise dose and fine particulate matters at levels above the reference values for human of 85dB(A) and 5mg/m3 respectively, making it a public health issue that requires holistic public health measures.

Neither artisanal and small-scale gold mining (ASGM) or geophagy practices have received substantial attention related to blood lead levels despite the well documented deleterious effects of lead. This cross-sectional analytical study aimed to document the risk of lead exposure from geophagy and mining-related occupational activities for pregnant women. The study recruited 1056 pregnant women (883 in an ASGM area and 173 in a non-ASGM area) between April 2015 -April 2017. Generalized Linear Model with an identity link function was used to model the association between blood lead levels (BLLs) and geophagy practices and involvement in gold mining. The prevalence of geophagy was 36.2% (95% CI: 33.6, 39.4%) and 6.3% engaged in mining as a primary occupation. Practicing geophagy increased BLLs by 22% (β = 1.22, 95% CI: 1.116, 1.309, p