Low-hanging Fruit Research Articles

The extraordinary "ordinary magic" of resilience.

In this essay, I will briefly sample different instances of the utilization of the concept of resilience, attempting to complement a comprehensive representation of the field in the special issue of Development and Psychopathology inspired by the 42nd Minnesota Symposium on Child Psychology, hosted by the Institute of Child Development at the University of Minnesota and held in October of 2022. Having established the general context of the field, I will zoom in on some of its features, which I consider "low-hanging fruit" and which can be harvested in a systematic way to advance the study of resilience in the context of the future of developmental psychopathology.

Unveiling the fungal diversity and associated secondary metabolism on black apples.

Black apples are the result of late-stage microbial decomposition after falling to the ground. This phenomenon is highly comparable from year to year, with the filamentous fungus Monilinia fructigena most commonly being the first invader, followed by Penicillium expansum. Motivated by the fact that only little chemistry has been reported from apple microbiomes, we set out to investigate the chemical diversity and potential ecological roles of secondary metabolites (SMs) in a total of 38 black apples. Metabolomics analyses were conducted on either whole apples or small excisions of fungal biomass derived from black apples. Annotation of fungal SMs in black apple extracts was aided by the cultivation of 15 recently isolated fungal strains on 9 different substrates in a One Strain Many Compounds (OSMAC) approach, leading to the identification of 3,319 unique chemical features. Only 6.4% were attributable to known compounds based on analysis of high-performance liquid chromatography-high-resolution mass spectrometry (HPLC-HRMS/MS) data using spectral library matching tools. Of the 1,606 features detected in the black apple extracts, 32% could be assigned as fungal-derived, due to their presence in the OSMAC-based training data set. Notably, the detection of several antifungal compounds indicates the importance of such compounds for the invasion of and control of other microbial competitors on apples. In conclusion, the diversity and abundance of microbial SMs on black apples were found to be much higher than that typically observed for other environmental microbiomes. Detection of SMs known to be produced by the six fungal species tested also highlights a succession of fungal growth following the initial invader M. fructigena.IMPORTANCEMicrobial secondary metabolites constitute a significant reservoir of biologically potent and clinically valuable chemical scaffolds. However, their usefulness is hampered by rapidly developing resistance, resulting in reduced profitability of such research endeavors. Hence, the ecological role of such microbial secondary metabolites must be considered to understand how best to utilize such compounds as chemotherapeutics. Here, we explore an under-investigated environmental microbiome in the case of black apples; a veritable "low-hanging fruit," with relatively high abundances and diversity of microbially produced secondary metabolites. Using both a targeted and untargeted metabolomics approach, the interplay between metabolites, other microbes, and the apple host itself was investigated. This study highlights the surprisingly low incidence of known secondary metabolites in such a system, highlighting the need to study the functionality of secondary metabolites in microbial interactions and complex microbiomes.

To reveal the unseen low-hanging fruit: A multi-method study of Indonesian hospital pharmacist perception regarding the implementation of injection-to-oral conversion activity.

Previous studies have demonstrated that the adoption of injection-to-oral conversion strategies in hospitalised patient yields both clinical and economic benefits. The objective of this study was to provide a comprehensive description of the current state of implementation and evaluate the perspectives of hospital pharmacists to guide future initiatives towards conversion implementation in Indonesia. A multi-method design was utilised. Quantitative approach used cross-sectional study design in which data were collected online using Google Form from August to October 2021. Qualitative analysis employed a phenomenological approach by performing in-depth interviews from July to August 2021. Each approach's data were compared to discover connections and discrepancies, and the final interpretation was done simultaneously. A total of 204 pharmacists participated in the survey, with 64.2% of them reporting no previous experience in conversion. An in-depth interview included seven hospital pharmacists, with three themes were emerged: (1) strategic roles of the pharmacist; (2) key considerations; and (3) potential barriers and enablers of conversion implementation. Based on the elaboration of quantitative and qualitative data, the study found that pharmacist had strong perception regarding pharmacist role in conversion despite their little experience in implementing the activity. For future improvement, a platform that taking into account the pharmacist current conditions and insights should be created. Pharmacists appreciated conversion activity and grasped its concepts despite little clinical experience. Consider possible enabling and barrier factors and essential considerations before taking action. Local guidelines and instructional materials that emphasise application or implementation are encouraged. Furthermore, the implementation project must be piloted and evaluated for clinical and economic outcomes.

Expert and operator perspectives on barriers to energy efficiency in data centers

It was last estimated in 2016 that data centers (DCs) comprise approximately 2% of total US electricity consumption. However, this estimate is currently being updated to account for the massive increase in computing needs due to streaming, cryptocurrency, and artificial intelligence (AI). To prevent energy consumption that tracks with increasing computing needs, it is imperative we identify energy efficiency strategies and investments beyond the low-hanging fruit solutions. In a two-phased research approach, we ask: What non-technical barriers still impede energy efficiency (EE) practices and investments in the data center sector, and what can be done to overcome these barriers? In particular, we are focused on social and organizational barriers to EE. In Phase I, we performed a literature review and found that technical solutions are abundant in the literature, but fail to address the top-down cultural shifts that need to take place in order to adapt new energy efficiency strategies. In Phase II, reported here, we interviewed 16 data center operators/experts to ground-truth our literature findings. Our interview protocols focus on three aspects of DC decision-making: procurement practices, metrics and monitoring, and perceived barriers to energy efficiency. We find that vendors are the key drivers of procurement decisions, advanced efficiency metrics are facility-specific, and there is convergence in the design of advanced facilities due to the heat density of parallelized infrastructure. Our ultimate goals for our research are to design DC decarbonization policies that target organizational structure, empower individual staff, and foster a supportive external market.

Unveiling a low-hanging fruit: Single-center study on secondary immunodeficiency in newly diagnosed chronic lymphocytic leukemia and multiple myeloma.

e23215 Background: Infectious complications are the leading cause of morbidity and mortality in patients with chronic lymphocytic leukemia(CLL) and multiple myeloma(MM). Despite recognized risks, evaluation of immune function occurs inconsistently. Our retrospective study evaluated practice patterns for assessing secondary immunodeficiency (SID) in newly diagnosed CLL and MM patients. Our aim is to identify areas for improvement to guide future prospective studies. Methods: We analyzed various immune parameters in newly diagnosed CLL and MM patients at Rochester Regional Health, Rochester, NY, focusing on the first six months of their clinical course, with descriptive data analysis. Results: Conclusions: Current infection prevention guidelines for newly diagnosed CLL and MM patients lack robust evidence. Despite our study’s inherent limitations (small, retrospective, single-center), based on our clinical experience, we propose the following recommendations: Complete SID assessment in all new diagnoses of CLL and MM, and this should include not only Ig levels but also vaccine response. If found to have abnormal SID evaluation, consider prophylactic antibiotics and Ig replacement, and consider reevaluation when appropriate to better define the duration of immunoparesis. Consider short-term Ig replacement (irrespective of IgG levels) and antibacterial prophylaxis for all newly diagnosed MM patients due to high infection risk during the initial six months. A thorough immune evaluation is non-invasive and low-cost, yet it can reveal clinically significant immune dysfunction, potentially influencing management in CLL and MM. Consequently, we hope our study will prompt the development of prospective, randomized studies to systematically evaluate these recommendations. [Table: see text]

Researching visual protest and politics with “extra-hard” data

A range of scholars have criticised scholarly tendencies to focus on “easy” data such as provided by the low-hanging fruit of Twitter hashtag networks (Burgess & Bruns, 2015; Hargittai, 2020; Tromble, 2021). As a result, digital social research has been said to create a glut of studies that favour particular platforms, data forms, and networking dynamics, choices that may create ‘digital bias’ (Marres, 2017). These issues are particularly significant in visual data as the implicit nature of visuality means that platform spaces, text, and networked uses of visuals contribute to how visuals are interpreted in digital environments. In response to this issue, we present and critically reflect on new potentialities in software-based visual research on protest and politics, including: (1) rich cross-project comparisons; (2) complementing platform data with on-the-ground engagement, and (3) quali-quanti visual methods. These allow for rich data journeys through multi-modality, hybridity, comprehensive data curation, reiterative image data collection and interpretation, and the inclusion of contextual reflections in focused visual research, elements that provide meaning, texture, and context (= extra-hard data). We argue that visual digital methods consequently have the potential to provide nuanced, robust, and versatile analysis of visual data, if not necessitate these in a post-API age in which easy data access is no longer a given.

Energy efficiency as an accelerator to environmental and operational performance

As oil and gas operators continue to enhance and start implementing their plans to meet their regulators’ and customers’ net-zero related demands, the industry should not overlook those low-hanging fruit that will bear results in the short term and, if done well, also contribute to long-term objectives. An effective approach to energy management will contribute to environmental, operational and financial outcomes, by addressing resource scarcity and price volatility, delivering on licence-to-operate considerations, complying with regulations, and delivering a competitive advantage through greater efficiency and enhanced reputation. Key considerations are as follows. Data quality: fuel, power, steam, condensate balances will highlight data gaps and inconsistencies. Energy usage: inefficiencies in operations such as boilers, turbines, as well as systemic issues, such as cycle efficiency and steam and condensate losses, can be identified. Emissions monitoring and reporting: clear and consistent data about fuel and power consumption directly feeds into greenhouse gas corporate reporting schemes. Quality assurance of monitoring and reporting processes: review and challenge dashboards and reports for completeness, accuracy and clarity. Management operating system: redesign management processes to improve workflows and optimise operations. Loss accounting: Production and Energy Loss Accounting (PELA) improves staff collaboration and effectively tackles hidden losses. In this paper, dss+ will share how, using a mix of operational efficiencies and capex, an integrated oil and gas company active in 30 countries identified potential to reduce its emissions by 38 m tonnes of CO2 leading to over US$6 m in savings per annum over 4 years for just four of its assets.

Debt on the Ground: The Scholarly Discourse of Bankruptcy and Financial Precarity

A rich literature uses law and social science methods to better understand household financial distress and overindebtedness both inside and outside of bankruptcy. This scholarship contributes to several ongoing scholarly conversations, such as those on income and wealth disparities across race and class, how people live in circumstances of financial precarity, why people turn to the legal system to solve their problems, and how to improve access to justice so people can get the help they need. We first review the current literature about who files bankruptcy, the contributors to people's need to file bankruptcy, what happens to them in bankruptcy court, and what happens after their bankruptcy cases conclude. We then outline a research agenda of low-hanging fruit that will contribute to broader sociological and sociolegal research agendas, including economic mobility, aging, gender studies, health studies, family studies, social psychology, and policy work.

Integrated life cycle assessment in off-grid energy system design—Uncovering low hanging fruit for climate mitigation

We perform an ex-ante life cycle assessment, integrating cradle-to-gate greenhouse gas emissions into an off-grid energy system model. By applying a multi-objective optimization, minimizing both costs and carbon dioxide equivalent (CO2e) emissions, we find the Pareto boundary between these two goals. As a case study, we chose the power supply to an astronomical observatory in Chile, using mostly solar power and energy storage in batteries and hydrogen. We compare the ex-ante study to a prior ex-post life cycle assessment, and furthermore dive into sensitivities of our model regarding component lifetimes and costs. We find (i) low-hanging fruit in lowering emissions with small cost increases, (ii) ex-ante life cycle assessments’ possibility to find less CO2e intensive power systems compared to ex-post conducted studies, (iii) a pronounced sensitivity of the optimization model on assumed lifetimes of energy storage components. This study shows the importance of including life cycle CO2e emissions into the optimization objective of energy system models. This method uncovers the environmental and economic trade-offs associated with high shares of renewable energies in off-grid energy systems.

Key Innovations in Financing Nature-Based Solutions for Coastal Adaptation

The implementation of nature-based solutions (NBSs) for coastal adaptation to climate change is limited by a well-documented lack of finance. Scholars agree that financial innovation represents a solution to this problem, particularly due to its potential for mobilising private investments. It remains unclear however how exactly innovative solutions address the specific barriers found in NBS implementation and, given the distinctive local characteristics of NBSs, to what extent successful innovations can be replicated in other locations. This study addresses this issue by reviewing the literature and case studies of innovative financial solutions currently implemented in NBS projects, highlighting which financial barriers these arrangements address and which contextual conditions affect their applicability. We find that there is no “low-hanging fruit” in upscaling finance in NBSs through financial innovation. Innovative solutions are nevertheless expected to become more accessible with the increase in NBS project sizes, the increased availability of data on NBS performance, and the establishment of supportive policy frameworks. The flow of finance into NBS projects can be further enhanced through the external support of both public (de-risking and regulation) and private actors (financial expertise).

Diversionary Post-Coal Politics in South Africa: A Chinese Solar-Powered Industrial Zone Controversy

In September 2021 at a United Nations climate summit in New York, Xi Jinping announced that there would be no further Chinese coal-fired power plants along the Belt and Road Initiative, which stretches as far as South Africa. Instead, the Chinese operator of South Africa’s single largest Special Economic Zone proposal – in rural Makhado – and his local allies suggested that solar power could supply energy for the $10 billion project, including high-emissions industrial projects. This raised the question of whether firms engaged in mining, smelting, processing and other carbon-intensive activities would pick ‘low-hanging fruits’ within the renewable energy sector (instead of that power going into the grid for broader consumption). Their incentive is to do so, in order to safeguard the so-called Minerals-Energy Complex from Western climate sanctions – threatened, on grounds of high CO2-inputs to export products including steel, aluminium and petrochemicals. In spite of a 2022 United Nations Development Programme endorsement of the project, social and environmental resistance has intensified, but the introduction of solar power for high-emissions metal manufacturing presents a special challenge. Two techniques associated with ecological modernisation – natural capital accounting and the Social Cost of Carbon – may prove relevant to civil society critics of ‘extractivism’, in shifting the narrative further across space, time and scale.

Transformation scenarios towards multifunctional landscapes: A multi-criteria land-use allocation model applied to Jambi Province, Indonesia

In tropical regions, shifting from forests and traditional agroforestry to intensive plantations generates conflicts between human welfare (farmers’ demands and societal needs) and environmental protection. Achieving sustainability in this transformation will inevitably involve trade-offs between multiple ecological and socioeconomic functions. To address these trade-offs, our study used a new methodological approach allowing the identification of transformation scenarios, including theoretical landscape compositions that satisfy multiple ecological functions (i.e., structural complexity, microclimatic conditions, organic carbon in plant biomass, soil organic carbon and nutrient leaching losses), and farmers needs (i.e., labor and input requirements, total income to land, and return to land and labor) while accounting for the uncertain provision of these functions and having an actual potential for adoption by farmers. We combined a robust, multi-objective optimization approach with an iterative search algorithm allowing the identification of ecological and socioeconomic functions that best explain current land-use decisions. The model then optimized the theoretical land-use composition that satisfied multiple ecological and socioeconomic functions. Between these ends, we simulated transformation scenarios reflecting the transition from current land-use composition towards a normative multifunctional optimum. These transformation scenarios involve increasing the number of optimized socioeconomic or ecological functions, leading to higher functional richness (i.e., number of functions). We applied this method to smallholder farms in the Jambi Province, Indonesia, where traditional rubber agroforestry, rubber plantations, and oil palm plantations are the main land-use systems. Given the currently practiced land-use systems, our study revealed short-term returns to land as the principal factor in explaining current land-use decisions. Fostering an alternative composition that satisfies additional socioeconomic functions would require minor changes (“low-hanging fruits”). However, satisfying even a single ecological indicator (e.g., reduction of nutrient leaching losses) would demand substantial changes in the current land-use composition (“moonshot”). This would inevitably lead to a profit decline, underscoring the need for incentives if the societal goal is to establish multifunctional agricultural landscapes. With many oil palm plantations nearing the end of their production cycles in the Jambi province, there is a unique window of opportunity to transform agricultural landscapes.

NAVIGATING CLEAN WATER CHALLENGES: ASSESSING STRATEGIES AND OUTCOMES IN BALI'S PAMSIMAS PROGRAM

Objective: This study investigates the impact of the Community-Based Drinking Water and Sanitation Provision Program (Pamsimas Program), implemented in Bali from 2017 to 2021, on improving access to clean drinking water and sanitation in rural communities. Theoretical framework: It draws on the S-shape and Inverted L-shape curves to emphasize planned interventions and incentives, while the Theory of Change guides program evaluation by explaining how interventions lead to outcomes. Employing a five-stage results chain, the program focuses on inputs, activities, outputs, outcomes, and long-term impacts. Method: Through a comprehensive analysis of the program's effectiveness, we employ a natural experiment approach using Propensity Score Matching (PSM) and Multinomial Ordered Logit/Probit regression. The study compares villages receiving Pamsimas interventions in 2019, 2020, and 2021 with non-intervention villages, employing data from the 2014, 2018, and 2021 Village Potential Census (Podes). Results and conclusion: The findings reveal that Pamsimas significantly influences the choice of water sources and sanitation practices in beneficiary villages. The estimated marginal effects demonstrate a substantial improvement in water quality and sanitation in program-receiving villages compared to control villages. The paper concludes that the Pamsimas Program, by targeting easily achievable improvements, aligns with the pragmatic trend in development economics and provides valuable insights for future water and sanitation interventions. Originality/value: The analysis, guided by the paradigm shift in development economics towards pragmatic and low-hanging fruit solutions, positions Pamsimas as an effective strategy despite not being as cost-effective as certain health programs.

Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks

The Machine-Learning-as-a-Service (MLaaS) framework allows one to grab low-hanging fruit of machine learning techniques and data science, without either much expertise for this sophisticated sphere or provision of specific infrastructures. However, the requirement of revealing all training data to the service provider raises new concerns in terms of privacy leakage, storage consumption, efficiency, bandwidth, etc. In this paper, we propose a lightweight privacy-preserving MLaaS framework by combining Compressive Sensing (CS) and Generative Networks. It’s constructed on the favorable facts observed in recent works that general inference tasks could be fulfilled with generative networks and classifier trained on compressed measurements, since the generator could model the data distribution and capture discriminative information which are useful for classification. To improve the performance of the MLaaS framework, the supervised generative models of the server are trained and optimized with prior knowledge provided by the client. In order to prevent the service provider from recovering the original data as well as identifying the queried results, a noise-addition mechanism is designed and adopted into the compressed data domain. Empirical results confirmed its performance superiority in accuracy and resource consumption against the state-of-the-art privacy preserving MLaaS frameworks.

A complex-systems view on military decision making

ABSTRACT Military decision-making institutions are sociotechnical systems. They feature interactions among people applying technologies to enact roles within mission-oriented collectives. As sociotechnical systems, military institutions can be examined through the lens of complex adaptive systems (CAS) theory. This discussion applies the CAS perspective to reveal implications of integrating newer artificial intelligence (AI) technologies into military decision-making institutions. I begin by arguing that military adoption of AI is well-incentivised by the current defence landscape. Given these incentives, it would be useful to try to understand the likely effects of AI integration into military decision-making. Direct examinations of the new affordances and risks of new AI models is a natural mode of analysis for this. I discuss some low-hanging fruit in this tradition. However, I also maintain that such examinations can miss systemic impacts of AI reliance in decision-making workflows. By taking a complex systems view of AI integration, it is possible to glean non-intuitive insights, including, for example, that common policy concerns like preventing human deskilling or requiring algorithmic transparency may be overblown or counterproductive.

Effects of environmental and nutritional labels on the dietary choices of consumers: Evidence from China

Dietary change has great potential to deliver food-related environmental benefits and human health advantages. Labeling has been proven effective in dietary behavior change as a “low-hanging fruit” among nudging methods, yet the experimental analysis in low- and middle-income countries (LMICs) is lacking. In this research, a real-world intervention experiment is designed to explore the effects of color-based carbon footprint and calorie content labeling schemes on the sales of dumpling in two Chinese university canteens. The sample for the control phrase and label phrase respectively consisted of 8755 and 9492 records. Overall, fewer consumers choose to dine (−15.25%) when the label interventions were in place to release from ethical dilemma. Detailed analyses show that environmental labeling results in a significant reduction in purchases of dumplings with high carbon footprints, cutting down 20.40 (15.25% of average daily sales, the same as other percentage data) sale units (‘Liang’ in Chinese, one sale unit empirically corresponding to 6 dumplings) and leading to ∼26.90% of total GHG mitigation, while calorie labeling raises the purchase of dumplings with both low and high energy density, raising 59.88 (7.56%) and 48.66 (6.14%) sale units respectively at the day level. Labeling induces effective response demographically heterogeneous, with men more sensitive to calorie labels within the U-shape trend while women more impacted by environmental labels. Also, postgraduates show greater perceptiveness to the intervention compared to undergraduates. Our evaluation of labeling effects suggests a well-designed and population-tailored label highlighting negative information such as immense environmental burdens would offer a promising and feasible chance to navigate consumers' behavior. Our findings provide implications for effective intervention strategy design in China, indicating extensive inspiration for a potential larger-scale dietary structure evolution and promising behavior intervention.

Reducing maternal deaths from haemorrhage: Seeking the low-hanging fruit.

Reducing maternal deaths from haemorrhage: Seeking the low-hanging fruit.

Position paper From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research.

The idea of a systematic digital representation of the entire known human pathophysiology, which we could call the Virtual Human Twin, has been around for decades. To date, most research groups focused instead on developing highly specialised, highly focused patient-specific models able to predict specific quantities of clinical relevance. While it has facilitated harvesting the low-hanging fruits, this narrow focus is, in the long run, leaving some significant challenges that slow the adoption of digital twins in healthcare. This position paper lays the conceptual foundations for developing the Virtual Human Twin (VHT). The VHT is intended as a distributed and collaborative infrastructure, a collection of technologies and resources (data, models) that enable it, and a collection of Standard Operating Procedures (SOP) that regulate its use. The VHT infrastructure aims to facilitate academic researchers, public organisations, and the biomedical industry in developing and validating new digital twins in healthcare solutions with the possibility of integrating multiple resources if required by the specific context of use. Healthcare professionals and patients can also use the VHT infrastructure for clinical decision support or personalised health forecasting. As the European Commission launched the EDITH coordination and support action to develop a roadmap for the development of the Virtual Human Twin, this position paper is intended as a starting point for the consensus process and a call to arms for all stakeholders.

Beware of the Low-Hanging Fruit – Autonomous Vehicles in the Maritime Dimension

Beware of the Low-Hanging Fruit – Autonomous Vehicles in the Maritime Dimension

Digital Technology Adoption and Potential in Southeast Asian Agriculture

While the rural agriculture sector has traditionally been seen as backward relative to the urban industrial and services sectors, it is a potential “low-hanging fruit” ripe for a much-needed digital transformation for agricultural development. ASEAN has seen a U-turn in progress in addressing undernourishment as early as 2014–16, owing to multiple factors. These include climate change which impacts have led to a slowdown in agricultural yield growth amidst growing consumption requirements. Digital technologies are important in adapting the agriculture sector to climate change and rising demand for it to serve as a key sector for food security, income, trade, and employment in the region. However, adoption of digital technologies in agriculture within the region is still relatively nascent, partly because of a general lack of understanding of such technologies and how they contribute to agricultural development. Also lacking is a common framework for understanding and classifying the relevance of such technologies. Thus, this article proposes a common framework and narrates how it was developed and used in facilitating discussions that helped develop the 2021 ASEAN Guidelines on Promoting the Utilization of Digital Technologies for ASEAN Food and Agricultural Sector. We draw insights from our earlier work on the state of adoption of digital technologies in agriculture in the region and give an overview of key challenges and policy opportunities for scaling up.