Is there a LINKAGE between credit access, land use, and crop diversification in achieving food security? Evidence from cocoa-producing households in Nigeria.

Cocoa farmers in Nigeria adopt crop diversification to safeguard the food security of their households. Although credit and land are thought to play a vital role in crop diversification, they continue to have limited access to credit and land. This study investigated the linkages between access to credit, land use, crop diversification, and food security with a focus on cocoa farming households. A multistage sampling procedure was used to obtain data for the study. Data were analyzed with the aid of descriptive statistics, the Heifindahl index, the Tobit regression model, the food consumption score, and the ordered Logit regression model. The results for the entire respondents showed mean values of 55 years for age, 31 years for farming experience, 6 people for household size, and 5 ha for farm size. Heifindahl index shows 38.67 % of the respondents had low crop diversification in the study area. Tobit regression model reveals that access to credit, farming experience, cooperative organization, access to extension service, farm size, distance to farms, and labour are the main albeit significant factors that determine crop diversification among cocoa farming households. Food consumption score revealed that 46.67 % were poor, 30.67 % were at the borderline and about 27.67 % were within the acceptable threshold. The ordered logit model revealed that crop diversification index, formal education, access to credit, farm size, land use, and farming experience have a significant influence on the food security of households. The study concluded that there is a positive relationship between access to credit, land use, crop diversification, and food security. Therefore, the government and financial institutions should make credit facilities accessible to cocoa farmers to improve their livelihood.

A secure data transmission framework for IoT enabled healthcare.

The Internet of Medical Things (IoMT) has transformed healthcare by connecting medical devices, sensors, and patients, significantly improving patient care. However, the sensitive data exchanged through IoMT is vulnerable to security attacks, raising serious privacy concerns. Traditional key sharing mechanisms are susceptible to compromise, posing risks to data integrity. This paper proposes a Timestamp-based Secret Key Generation (T-SKG) scheme for resource-constrained devices, generating a secret key at the patient's device and regenerating it at the doctor's device, thus eliminating direct key sharing and minimizing key compromise risks. Simulation results using MATLAB and Java demonstrate the T-SKG scheme's resilience against guessing, birthday, and brute force attacks. Specifically, there is only a 9 % chance of key compromise in a guessing attack if the attacker knows the key sequence pattern, while the scheme remains secure against brute force and birthday attacks within a specified timeframe. The T-SKG scheme is integrated into a healthcare framework to securely transmit health vitals collected using the MySignals sensor kit. For confidentiality, the Data Encryption Standard (DES) with various Cipher Block modes (ECB, CBC, CTR) is employed.

Latinos' diminished returns of educational attainment on reducing food insecurity: the role of ethnic disparities in family structure and employment.

Background: Higher education is widely recognized as a strategy to mitigate food insecurity. However, marginalized and racialized groups, especially Latinos, often do not experience the same economic and health benefits from their educational achievements as non-Latino Whites, highlighting a pattern of diminished returns within these communities. Aims: This study aims to explore the disparities in how educational attainment influences marital status and employment, and subsequently, food insecurity among Latino and non-Latino adults. Methods: Utilizing data from the 2022 National Health Interview Survey (NHIS), which encompassed 27,648 adults from both Latino and non-Latino backgrounds, this research applied a structural equation model to examine the relationship between educational attainment, ethnicity, and food insecurity. The study specifically focused on the mediating roles of marital status and employment. Results: Findings reveal significant interactions between education and ethnicity affecting marital status and employment, both of which serve as protective factors against food insecurity. These results indicate that higher levels of unemployment and lower marriage rates may disproportionately escalate food insecurity among Latinos, irrespective of educational attainment. Conclusion: The study highlights profound societal and environmental obstacles that prevent Latinos from leveraging educational achievements to improve their marital and employment statuses, and thereby, their food security. Addressing these disparities demands targeted interventions directed at Latino communities to bridge gaps in employment and marriage rates stemming from educational disparities. A holistic strategy that transcends mere access to education is essential to dismantle the societal barriers that undermine the educational dividends for Latino communities.

BYOD security behaviour and preferences among hospital clinicians - A qualitative study.

BACKGROUND/OBJECTIVE: The use of personal devices for work purposes (Bring-your-own-device) has increased in hospitals, as it facilitates productivity and mobility for clinicians. However, owing to increased risk of leaking patient information, and heavy reliance of patient data privacy on user actions, BYOD is a major challenge for hospitals. There has been a dearth of empirical research studying clinicians' BYOD security behaviour. Therefore, the study's aim was to attain subjective understanding of clinicians' attitudes and preferences towards protecting patient data on their devices through a qualitative study. METHODS: 14 semi-structured interviews were conducted among Australian hospital-based clinicians. A hybrid thematic analysis was conducted using the framework method to explore socio-technical themes pertaining to the clinicians' BYOD security behavioural practices. RESULTS: Limited use of secure tools like antivirus and passcodes, and inadequate separation of patient and personal data on BYOD devices was found. Key technology concerns included malware introduction into hospital network, inadvertent patient data sharing, and slow remote access. Hospitals lacked dedicated BYOD policies and training, resulting in unsafe practices. Participants also cited misalignment of BYOD policies with workflow needs, privacy maintenance challenges and fears of personal data breaches, while calling for improved communication between technical and clinical staff and a strong cybersecurity culture. CONCLUSION: This study provides a comprehensive understanding of BYOD related user behaviour and the usefulness of security controls used in time-sensitive and complex hospital environments. It can inform future policies or processes by advocating for secure and productive BYOD use.

Uncharted depths: Navigating the energy security potential of deep-sea mining.

In the context of a global shift towards low-carbon energy systems, this paper provides an in-depth analysis of deep-sea mining's (DSM) potential role in enhancing global energy security. Addressing the growing demand for critical minerals essential for clean energy technologies, electric vehicles (EVs), and energy storage systems, the paper examines how DSM can diversify the global mineral supply and reduce reliance on geopolitically sensitive sources. It explores DSM's capacity to recalibrate energy prices, influence the competitive landscape of clean energy technologies, and shift geopolitical dynamics. The paper delves into the multi-faceted impacts of DSM on energy security, including geopolitical shifts, supply chain diversification, and environmental trade-offs. By providing a holistic view that links mineral supply security to sustainable energy transitions, this study extends beyond prior research focused mainly on the technical and environmental aspects of DSM. The findings illustrate DSM's intersection with international politics, its effect on energy pricing strategies, and the balance between resource exploitation and environmental stewardship. Strategic policy recommendations are offered to optimize DSM's benefits while minimizing its ecological impacts, aligning the emerging DSM industry with global sustainability goals. In addition to identifying challenges, the paper proposes actionable solutions, contributing a unique perspective to the discourse on DSM and energy security.

Theoretical framework for biological control of pest: a mathematical modeling approach.

Crop losses to pests were the main obstacle to food security globally. Pest control was a laudable exercise, but the exercise could be hindered by the inevitable adjustment between pest reductions, operation costs as well as impacts on the environment and human health. The pest could be controlled by many methods, but biological control was the most popular technique because it addressed inevitable trade-offs between costs and side effects. In this paper, a mathematical model was developed to quantify intricate biological procedures in the context of biological control using prey-predator mechanisms. Three equilibrium points (one trivial and two non-trivial) were derived, and the stability of each equilibrium point was examined. The stability results indicated that the adoption of biological control might neutralize pest infestation but the situation might not persist (unstable trivial equilibrium). It was also discovered that pest control through biological means might fail if the predator was wrongly selected or if the population of the predator vanished while the pest remained in existence (unstable non-trivial equilibrium). The analytical results were finally justified by a means of simulation via a computer-in-built maple program.

Financial literacy, social security, and healthcare cost anxiety in China.

This study examines the impact of financial literacy and social security on healthcare cost anxiety in China using data from the 2021 Global Financial Inclusion database. Employing an ordered logit model and its marginal effects, we analyse how these factors influence varying levels of healthcare cost anxiety (worried, somewhat worried, and not worried at all) across total, female-headed and male-headed households. Financial literacy and social security both demonstrate significant negative effects on healthcare cost anxiety across all household types. It implied that individuals who save for old age and those with social security coverage are less likely to experience high levels of healthcare cost anxiety. The ordered logit results show consistent negative coefficients for financial literacy and social security across all household categories. Marginal effects analysis further illustrates how these factors affect the probability of falling into each category of healthcare cost anxiety. These findings underscore the importance of promoting financial literacy and expanding social security coverage as potential strategies to alleviate healthcare cost anxiety in China.

Cette étude examine l'impact de la littératie financière et de la sécurité sociale sur l'anxiété liée aux coûts des soins de santé en Chine à l'aide des données de la base de données mondiale sur l'inclusion financière 2021. En utilisant un modèle logit ordonné et ses effets marginaux, nous analysons comment ces facteurs influencent différents niveaux d'anxiété liée aux coûts de santé (inquiet, quelque peu inquiet et pas du tout inquiet) dans l'ensemble des ménages dirigés par une femme ou un homme. La littératie financière et la sécurité sociale démontrent toutes deux des effets négatifs significatifs sur l'anxiété liée aux coûts des soins de santé dans tous les types de ménages. Cela implique que les personnes qui épargnent pour leur vieillesse et celles qui bénéficient d'une couverture de sécurité sociale sont moins susceptibles de ressentir des niveaux élevés d'anxiété liée aux coûts des soins de santé. Les résultats du logit ordonné montrent des coefficients négatifs cohérents pour la culture financière et la sécurité sociale dans toutes les catégories de ménages. L'analyse des effets marginaux illustre en outre comment ces facteurs affectent la probabilité d'appartenir à chaque catégorie d'anxiété liée aux coûts des soins de santé. Ces résultats soulignent l'importance de promouvoir la culture financière et d'élargir la couverture de sécurité sociale en tant que stratégies potentielles pour atténuer l'anxiété liée aux coûts des soins de santé en Chine.

Biological factors and production challenges drive significant UK fruit and vegetable loss.

BACKGROUND: Food loss and waste estimates are highly inconsistent as a result of methodological and systemic differences. Additionally, the absence of in-depth evidence surrounding the biological drivers of food loss and waste precludes targeted mitigation action. To address this challenge, we undertook a metanalysis utilising a systematic literature review combined with industry stakeholder surveys to examine the incidence of food loss and waste in the UK fruit and vegetable supply chain between primary production and retail. RESULTS: We estimated that 37% of fruit and vegetables, equivalent to 2.4 Mt of produce, is lost between production and sale. In the UK, primary production is the main stage responsible for these losses (58%), and is dominated by four crops (apple, onion, carrot and potato), which contribute 71% of total food loss and waste. Quality and supply/demand mismatch are the core drivers, combined with limited ability to control postharvest quality decline as a result of technical or economic barriers. CONCLUSIONS: Innate biological mechanisms contribute to, and detract from, marketable quality generating food loss risks where these cannot be adequately modified or controlled. Through climate change effects, reduced pesticide availability, changing consumer behaviour and increased pressure to reduce resource/energy inputs during pre- and postharvest handling, food loss and waste risk is likely to increase in the short term unless targeted, coordinated action is taken to actively promote its mitigation. © 2024 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

The mitigating role of social capital on the association between food insecurity and psychological distress among Chinese adults.

BACKGROUND: Food insecurity, a pervasive global issue exacerbated by the COVID-19 pandemic, has been linked to adverse mental health outcomes. However, the role of social capital in mitigating this relationship remains understudied, particularly in the Chinese context. AIMS: This study investigated the associations between food insecurity and psychological distress (depressive and anxiety symptoms) and examined the potential moderating effects of bonding and bridging social capital among Chinese adults in Shanghai. METHODS: This cross-sectional study included 3,220 Chinese adults (mean age: 34.45; 51.5% male) in Shanghai. Food insecurity was assessed using the modified Household Food Insecurity Access Scale, psychological distress was measured using the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder-7, and social capital was evaluated using the Revised Personal Social Capital Scale. RESULTS: Multivariable linear regression analyses revealed that food insecurity was significantly positively associated with both depressive (ß = 0.449, SE = 0.024) and anxiety symptoms (ß = 0.391, SE = 0.022), after adjusting for sociodemographic characteristics, health status, and COVID-19-related factors. Higher levels of bonding and bridging social capital were significantly associated with fewer depressive and anxiety symptoms. Significant interactions (p < .001) between bonding social capital and food insecurity indicated that the associations between food insecurity and psychological distress were less pronounced among adults with higher bonding social capital. CONCLUSIONS: These findings highlight the critical role of food insecurity as a risk factor for psychological distress and the importance of bonding social capital in mitigating its impact on mental health. Policies and interventions targeting food insecurity prevention and bonding social capital enhancement may promote better mental health outcomes among Chinese adults.

Examining Food Security, Fruit and Vegetable Intake, and Cardiovascular Disease Risk Outcomes of Produce Prescription (PPR) Programs: A Systematic Review.

OBJECTIVE: Outcomes from produce prescription (PPR) programs, an exemplar of a Food is Medicine intervention, have not been synthesized. The objective of this study was to conduct a systematic review to examine the impact of PPR programs on food security, fruit and vegetable (FV) intake, and/or cardiovascular risk factors (HbA1c, blood pressure, and blood lipids). DESIGN: Searches were conducted across three databases (PubMed, CINAHL, and Web of Science). Eligible studies were published between August 2012 and April 2023, conducted in the US in child/family, or adult populations, written in English and had a PPR program as an exposure. OUTCOMES VARIABLES MEASURED: Food security, FV intake, and/or cardiovascular risk factors. RESULTS: Twenty studies ranging from a duration of between 6 weeks to 24 months were included. Of the 5 studies (3 in child/family and 4 in adult populations) that analyzed changes in food security status, all reported significant (P < 0.05) improvements after the PPR program. Approximately half of the included studies found significant (P < 0.05) increases in fruit, vegetable, and/or FV intake. Only studies in adult populations included cardiovascular risk factor outcomes. In these studies, mixed findings were reported; however, there were significant (P < 0.05) improvements in HbA1c when PPR programs enrolled individuals with type 2 diabetes. CONCLUSIONS AND IMPLICATIONS: PPR programs provide an opportunity to improve food security in child/family, and adult populations. Evidence to support whether PPR programs increase FV intake and improve cardiovascular disease risk factors outside of HbA1c in adult populations with high HbA1c upon enrollment is less known.

Biotechnological studies towards improvement of finger millet using multi-omics approaches.

A plethora of studies have uncovered numerous important genes with agricultural significance in staple crops. However, when it comes to orphan crops like minor millet, genomic research lags significantly behind that of major crops. This situation has promoted a focus on exploring research opportunities in minor millets, particularly in finger millet, using cutting-edge methods. Finger millet, a coarse cereal known for its exceptional nutritional content and ability to withstand environmental stresses represents a promising climate-smart and nutritional crop in the battle against escalating environmental challenges. The existing traditional improvement programs for finger millet are insufficient to address global hunger effectively. The lack of utilization of high-throughput platforms, genome editing, haplotype breeding, and advanced breeding approaches hinders the systematic multi-omics studies on finger millet, which are essential for pinpointing crucial genes related to agronomically important and various stress responses. The growing environmental uncertainties have widened the gap between the anticipated and real progress in crop improvement. To overcome these challenges a combination of cutting-edge multi-omics techniques such as high-throughput sequencing, speed breeding, mutational breeding, haplotype-based breeding, genomic selection, high-throughput phenotyping, pangenomics, genome editing, and more along with integration of deep learning and artificial intelligence technologies are essential to accelerate research efforts in finger millet. The scarcity of multi-omics approaches in finger millet leaves breeders with limited modern tools for crop enhancement. Therefore, leveraging datasets from previous studies could prove effective in implementing the necessary multi-omics interventions to enrich the genetic resource in finger millet.

Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data.

Precipitation extremes have surged in frequency and duration in recent decades, significantly impacting various sectors, including agriculture, water resources, energy, and public health worldwide. Pakistan, being highly susceptible to climate change and extremes, has experienced adverse events in recent times, emphasizing the need for a comprehensive investigation into the relationship between precipitation extremes and crops production. This study focuses on assessing the association between precipitation extremes on crops production, with a particular emphasis on the Punjab province, a crucial region for the country's food production. The initial phase of the study involved exploring the associations between precipitation extremes and crops production for the duration of 1980-2014. Notably, certain precipitation extremes, such as maximum CDDs (consecutive dry days), R99p (extreme precipitation events), PRCPTOT (precipitation total) and SDII (simple daily intensity index) exhibited strong correlations with the production of key crops like wheat, rice, garlic, dates, moong, and masoor. In the subsequent step, four machine learning (ML) algorithms were trained and tested using observed daily climate data (including maximum and minimum temperatures and precipitation) alongside model reference data (1985-2014) as predictors. Gradient boosting machine (GBM) was selected for its superior performance and employed to project precipitation extremes for three distinct future periods (F1: 2025-2049, F2: 2050-2074, F3: 2075-2099) under the SSP2-4.5 and SSP5-8.5 derived from the CMIP6 (Coupled Model Intercomparison Project Phase 6) archive. The projection results indicated an increasing and decreasing trend in CWDs (maximum consecutive wet days) and CDDs, respectively, at various meteorological stations. Furthermore, R10mm (the number of days with precipitation equal to or exceeding 10 mm) and R25mm displayed an overall increasing trend at most of the stations, though some exhibited a decreasing trend. These trends in precipitation extremes have potential consequences, including the risk of flash floods and damage to agriculture and infrastructure. However, the study emphasizes that with proper planning, adaptation measures, and mitigation strategies, the potential losses and damages can be significantly minimized in the future.

Bending the curve of global freshwater biodiversity loss: what are the prospects?

Freshwater biodiversity conservation has received substantial attention in the scientific literature and is finally being recognized in policy frameworks such as the Global Biodiversity Framework and its associated targets for 2030. This is important progress. Nonetheless, freshwater species continue to be confronted with high levels of imperilment and widespread ecosystem degradation. An Emergency Recovery Plan (ERP) proposed in 2020 comprises six measures intended to "bend the curve" of freshwater biodiversity loss, if they are widely adopted and adequately supported. We review evidence suggesting that the combined intensity of persistent and emerging threats to freshwater biodiversity has become so serious that current and projected efforts to preserve, protect and restore inland-water ecosystems may be insufficient to avert substantial biodiversity losses in the coming decades. In particular, climate change, with its complex and harmful impacts, will frustrate attempts to prevent biodiversity losses from freshwater ecosystems already affected by multiple threats. Interactions among these threats will limit recovery of populations and exacerbate declines resulting in local or even global extinctions, especially among low-viability populations in degraded or fragmented ecosystems. In addition to impediments represented by climate change, we identify several other areas where the absolute scarcity of fresh water, inadequate scientific information or predictive capacity, and a widespread failure to mitigate anthropogenic stressors, are liable to set limits on the recovery of freshwater biodiversity. Implementation of the ERP rapidly and at scale through many widely dispersed local actions focused on regions of high freshwater biodiversity and intense threat, together with an intensification of ex-situ conservation efforts, will be necessary to preserve native freshwater biodiversity during an increasingly uncertain climatic future in which poorly understood, emergent and interacting threats have become more influential. But implementation of the ERP must be accompanied by measures that will improve water, energy and food security for humans - without further compromising the condition of freshwater ecosystems. Unfortunately, the inadequate political implementation of policies to arrest widely recognized environmental challenges such as climate change do not inspire confidence about the possible success of the ERP. In many parts of the world, the Anthropocene future seems certain to include extended periods with an absolute scarcity of uncontaminated surface runoff that will inevitably be appropriated by humans. Unless there is a step-change in societal awareness of - and commitment to - the conservation of freshwater biodiversity, together with necessary actions to arrest climate change, implementation of established methods for protecting freshwater biodiversity may not bend the curve enough to prevent continued ecosystem degradation and species loss.

Equity-oriented food supports: Learnings from the Nova Scotia COVID-19 pandemic response.

SETTING: Public health measures enacted during the COVID-19 pandemic significantly impacted Nova Scotians experiencing food insecurity. Public Health (PH), Nova Scotia Health, created a provincial Housing Isolation Program (HIP) which addressed barriers to isolation, including food access, for COVID-19 cases and contacts being followed by PH. INTERVENTION: HIP worked with partners to coordinate and respond to urgent food needs of isolating clients by providing grocery and meal delivery options. HIP also made referrals to government and community partners for income and food supports. This program was intended to minimize the spread of COVID-19 by facilitating isolation while meeting basic needs for people with no other means of support. OUTCOMES: From December 2020 to March 2022, HIP completed grocery and meal deliveries for 579 clients, 1351 referrals to a provincial Income Support Program, and 231 referrals to external food supports. HIP staff worked with clients to manage potential perceptions of stigma. Challenges reported included the urgency of food needs, lack of social supports, and availability and accessibility constraints in rural communities, as well as difficulty accessing culturally appropriate foods and special diets. IMPLICATIONS: This intervention demonstrates the importance of addressing food insecurity during emergency preparedness, planning, and response. During emergencies, planning and mobilizing food access requires an equity-oriented approach to overcome stigma. Broadly, continued reliance on charitable responses creates significant vulnerability during emergencies and addressing root causes of food insecurity through social policy will provide longer-term protection.

RéSUMé: CONTEXTE: Les mesures de santé publique adoptées pendant la pandémie de COVID-19 ont eu un important impact sur la population néo-écossaise en situation d'insécurité alimentaire. Les Services de santé publique de Santé Nouvelle-Écosse ont créé un programme provincial d'hébergement en isolement (Housing Isolation Program - HIP) qui s'est attaqué aux obstacles à l'isolement, y compris l'accès à la nourriture, pour les cas de COVID-19 et les contacts suivis par la Santé publique. INTERVENTION: Le programme d'hébergement en isolement (HIP) a travaillé avec des partenaires pour assurer la coordination et répondre aux besoins alimentaires urgents de la clientèle isolée en proposant des solutions de livraison d'épicerie et de repas. Le HIP a également orienté la clientèle vers des partenaires gouvernementaux et communautaires pour qu'elle bénéficie d'un soutien au revenu et d'une aide alimentaire. Ce programme visait à minimiser la propagation de la COVID-19 en rendant l'isolement plus facile tout en répondant aux besoins fondamentaux des personnes qui n'ont pas d'autre source de soutien. RéSULTATS: De décembre 2020 à mars 2022, le HIP a effectué des livraisons d'épicerie et de repas pour 579 personnes; 1 351 aiguillages vers un programme provincial de soutien au revenu; et 231 aiguillages vers des soutiens alimentaires externes. Le personnel du HIP a travaillé avec la clientèle pour gérer les perceptions potentielles de stigmatisation. Parmi les difficultés signalées, citons l'urgence des besoins alimentaires, le manque de soutien social, les contraintes de disponibilité et d'accessibilité dans les communautés rurales, ainsi que la difficulté d'accès à des aliments culturellement adaptés et à des régimes alimentaires particuliers. IMPLICATIONS: Cette intervention démontre l'importance de la prise en compte de l'insécurité alimentaire lors de la préparation, de la planification et de l'intervention en cas d'urgence. Dans les situations d'urgence, la planification et la mobilisation de l'accès à la nourriture nécessitent une approche axée sur l'équité afin de surmonter la stigmatisation. D'une manière générale, le fait de continuer à s'appuyer sur des réponses d'ordre caritatif crée une vulnérabilité importante dans les situations d'urgence. S'attaquer aux causes profondes de l'insécurité alimentaire au moyen d'une politique sociale permettra d'assurer une protection à plus long terme.

Enhancing Water Security: Statistical Measurement and Spatiotemporal Analysis.

Water security is essential for ensuring energy security, sustainable development, and human survival. However, due to a series of challenges, including rising water demand, environmental pollution, and water resource shortages, the global water security situation remains concerning and poses a threat to global sustainable development. To assess water security in China, this study uses data from 30 provinces in China from 2012 to 2021. A comprehensive evaluation method was applied to determine the level of water resource security in China. The Dagum Gini coefficient, Moran index, and spatial model were used to clarify regional differentiation characteristics and the driving factors. The results indicate that while China's water resource security is relatively low, it has shown steady improvement in recent years. Significant regional disparities exist in water resource security across China, with notable spatial characteristics, and socio-economic factors are the primary causes of these differences. Based on the above research, we put forward policy recommendations from the aspects of water resources management, public participation and inter-regional water resources cooperation, to provide reference for water resources security in developing countries.

Agrobiodiversity conservation enables sustainable and equitable land sparing.

Intensifying agriculture to spare land for nature could help meet competing food security and biodiversity conservation goals. However, this approach neglects and undervalues agrobiodiversity, currently maintained by millions of smallholder farmers. For intensification to be sustainable and land sparing to be achieved equitably, we must conserve high-agrobiodiversity landscapes.

Assessing impact of elevated CO2 on heavy metal accumulation in crops: meta-analysis and implications for food security.

Human activities led to elevation in carbon dioxide (CO2) concentrations in atmosphere. While such increase per se may be beneficial for the growth of some crops, it comes with a caveat of affecting crop nutritional status. Here, we present a comprehensive analysis of changes in concentration of essential (Cu, Fe, Mn, Zn, Mo, Ni) and non-essential (Ba, Cd, Cr, Hg, Pb, and Sr) heavy metals in response to elevated CO2, drawing on a meta-analysis of 1216 paired observations. The major findings are as follows: (1) Elevated CO2 leads to reduced concentrations of Cu, Fe, Mn, and Zn in crops; (2) the extent of above reduction varies among plants species and is most pronounced in cereals and then in legumes and vegetables; (3) reduction in accumulation of non-essential (toxic) metals is less pronounced, potentially leading to an unfavorable essential/non-essential metal ratio in plants; (4) the above effects will come with significant implication to human health, exacerbating effects of the "hidden hunger" caused by the lack of Fe and Zn in the human diets. The paper also analyses the mechanistic basis of nutrient acquisition (both at physiological and molecular levels) and calls for the changes in the governmental policies to increase efforts of plant breeders to create genotypes with improved nutrient use efficiency for essential micronutrients while uncoupling their transport from non-essential (toxic) heavy metals.

A robust deep learning attack immune MRAM-based physical unclonable function.

The ubiquitous presence of electronic devices demands robust hardware security mechanisms to safeguard sensitive information from threats. This paper presents a physical unclonable function (PUF) circuit based on magnetoresistive random access memory (MRAM). The circuit utilizes inherent characteristics arising from fabrication variations, specifically magnetic tunnel junction (MTJ) cell resistance, to produce corresponding outputs for applied challenges. In contrast to Arbiter PUF, the proposed effectively satisfies the strict avalanche criterion (SAC). Additionally, the grid-like structure of the proposed circuit preserves its resistance against machine learning-based modeling attacks. Various machine learning (ML) attacks employing multilayer perceptron (MLP), linear regression (LR), and support vector machine (SVM) networks are simulated for two-array and four-array architectures. The MLP-attack prediction accuracy was 53.61% for a two-array circuit and 49.87% for a four-array circuit, showcasing robust performance even under the worst-case process variations. In addition, deep learning-based modeling attacks in considerable high dimensions utilizing multiple networks such as convolutional neural network (CNN), recurrent neural network (RNN), MLP, and Larq are used with the accuracy of 50.31%, 50.25%, 50.31%, and 50.31%, respectively. The efficiency of the proposed circuit at the layout level is also investigated for simplified two-array architecture. The simulation results indicate that the proposed circuit offers intra and inter-hamming distance (HD) with a mean of 0.98% and 49.96%, respectively, and a mean diffuseness of 49.09%.

A federated learning architecture for secure and private neuroimaging analysis.

The amount of biomedical data continues to grow rapidly. However, collecting data from multiple sites for joint analysis remains challenging due to security, privacy, and regulatory concerns. To overcome this challenge, we use federated learning, which enables distributed training of neural network models over multiple data sources without sharing data. Each site trains the neural network over its private data for some time and then shares the neural network parameters (i.e., weights and/or gradients) with a federation controller, which in turn aggregates the local models and sends the resulting community model back to each site, and the process repeats. Our federated learning architecture, MetisFL, provides strong security and privacy. First, sample data never leave a site. Second, neural network parameters are encrypted before transmission and the global neural model is computed under fully homomorphic encryption. Finally, we use information-theoretic methods to limit information leakage from the neural model to prevent a "curious" site from performing model inversion or membership attacks. We present a thorough evaluation of the performance of secure, private federated learning in neuroimaging tasks, including for predicting Alzheimer's disease and for brain age gap estimation (BrainAGE) from magnetic resonance imaging (MRI) studies in challenging, heterogeneous federated environments where sites have different amounts of data and statistical distributions.