Human Intervention Research Articles

Detecting irregularities in randomized controlled trials using machine learning.

Over the course of a clinical trial, irregularities may arise in the data. Trialists implement human-intensive, expensive central statistical monitoring procedures to identify and correct these irregularities before the results of the trial are analyzed and disseminated. Machine learning algorithms have shown promise for identifying center-level irregularities in multi-center clinical trials with minimal human intervention. We aimed to characterize the form-level data irregularities in several historical clinical trials and evaluate the ability of a machine learning-based outlier detection algorithm to identify them. Data irregularities previously identified by humans in historical clinical trials were ascertained by comparing preliminary snapshots of the trial databases to the final, locked databases. We measured the ability of a machine learning based outlier detection algorithm to identify form-level irregularities using concordance (area under the receiver operator characteristic), positive predictive value (precision), and sensitivity (recall). We examined preliminary snapshots of seven historical clinical trials which randomized a total of 77,001 participants. We extracted a total of 1,267,484 completed entries from 358 case report forms containing irregularities from all snapshots across all trials, containing a total of 24,850 form-wide irregularities (median per-form form-level irregularity rate: 1.81%). Our proposed machine learning algorithm detects form-level irregularities with a median concordance of 0.74 (interquartile range = 0.57-0.89), slightly exceeding the performance of a previously proposed machine learning approach with a median area under the receiver operator characteristic of 0.73 (interquartile range = 0.54-0.88). Data irregularities in historical clinical trials were ascertained by comparing preliminary snapshots of the trial database to the final database. These irregularities can be categorized according to their scope. Irregularities can be successfully detected by a machine learning algorithm as early or earlier than a human can, without human intervention. Such an approach may complement existing techniques for central statistical monitoring in large multi-center randomized controlled trials and possibly improve the efficiency of costly data verification processes.

Impacts of agriculture and snow dynamics on catchment water balance in the U.S. and Great Britain

The Budyko water balance is a fundamental concept in hydrology that links aridity to how precipitation is divided between evapotranspiration and streamflow. While the model is powerful, its ability to explain temporal changes and the influence of human activities and climate change is limited. Here we introduce a causal discovery algorithm to explore deviations from the Budyko water balance, attributing them to human interventions such as agricultural activities and snow dynamics. Our analysis of 1342 catchments across the U.S. and Great Britain reveals distinct patterns: in the U.S., snow fraction and irrigation alter the Budyko water balance predominantly through changes in aridity-streamflow relationships, while in Great Britain, deviations are primarily driven by changes in precipitation-streamflow relationships, notable in catchments with high cropland percentage. By integrating causal analysis with the Budyko water balance, we enhance understanding of how human activities and climate dynamics affect water balance, offering insights for water management and sustainability in the Anthropocene.

Balancing between natural development and human intervention

The paper discusses over 10 years of experience (2009–2021) with dune development in a newly constructed coastal area in The Netherlands. The area (ca. 40 ha) was constructed by foreshore and beach nourishment and meant to compensate expected damage to existing dune vegetation, caused by nearby harbour extension and associated industrial activities. The development of the new dune was done applying the principles of ‘Building with Nature’, with as little human interference as possible. However, in the course of time several management measures were necessary to steer the vegetation succession in the right direction of the compensation targets. Dune development in natural aeolian coastal dunes differs from that in dunes built up from sea bottom sand. Before the compensation project there was little experience on how nourished marine sediments would affect the processes of sand transport, groundwater dynamics and vegetation development. After 10 years of development, the succession to the compensation targets is on its way. The project monitoring gave insights in the development of constructed dunes and in balancing between natural development and human intervention.

Nature-based solution for coastal erosion protection in the muddy coasts: Empirical perceptibility from the Upper Gulf of Thailand

Coastal erosion presents a significant challenge for muddy coasts worldwide. Aggravated by climate change and local factors, protecting against erosion has proven to be a complex task. The delicate sedimentary composition and the interplay of natural forces and human intervention render these muddy coasts particularly vulnerable. The choice between traditional engineering solutions and nature-based approaches is often dichotomous and entails risks for the coastline, ecology, livelihoods, and coastal management. Hence, comprehensive research on tangible, environment-friendly protection strategies with a holistic approach to muddy coastal contexts is scanty. This article aims to critically reveal the hegemonic situation around coastal erosion and protection challenges, and perceptible nature-based modalities for erosion protection in the distinctive and socio-ecologically contested atypical peri-urban muddy coastal context of the upper Gulf of Thailand. A mixed-methods approach has been applied to gain an in-depth understanding. Empirical research findings critically divulged that coastal erosion protection is extremely challenging due to the vulnerable situation espoused by the interplay of exogenous and endogenous factors in the community, feeble governance, and leadership crises. The muddy coasts require holistic considerations for a plausible and dynamic nature-based erosion protection modality that is environment-friendly, science-based, long-term, people-oriented, knowledge-driven, and based on collaborative adaptive coastal management approaches. Nature-based solutions are crucial to ensure coastal stability, management, and climate-resilient development in the fragile muddy coasts in Thailand and elsewhere in similar contexts.

Active restoration increases tree species richness and recruitment of large-seeded taxa after 16-18 years.

Tropical forest restoration presents a potential lifeline to mitigate climate change and biodiversity crises in the Anthropocene. Yet, the extent to which human interventions, such as tree planting, accelerate the recovery of mature functioning ecosystems or redirect successional trajectories toward novel states remains uncertain due to a lack of long-term experiments. In 2004-2006, we established three 0.25-ha plots at 10 sites in southern Costa Rica to test three forest restoration approaches: natural regeneration (no planting), applied nucleation (planting in patches), and plantation (full planting). In a comprehensive survey after 16-18 years of recovery, we censused >80,000 seedlings, saplings, and trees from at least 255 species across 26 restoration plots (nine natural regeneration, nine applied nucleation, eight plantation) and six adjacent reference forests to evaluate treatment effects on recruitment patterns and community composition. Both applied nucleation and plantation treatments resulted in significantly elevated seedling and sapling establishment and more predictable community composition compared with natural regeneration. Similarity of vegetation composition to reference forest tended to scale positively with treatment planting intensity. Later-successional species with seeds ≥5 mm had significantly greater seedling and sapling abundance in the two planted treatments, and plantation showed similar recruitment densities of large-seeded (≥10 mm) species to reference forest. Plantation tended toward a lower abundance of early-successional recruits than applied nucleation. Trees (≥5 cm dbh) in all restoration treatments continued to be dominated by a few early-successional species and originally transplanted individuals. Seedling recruits of planted taxa were more abundant in applied nucleation than the other treatments though few transitioned into the sapling layer. Overall, our findings show that active tree planting accelerates the establishment of later-successional trees compared with natural regeneration after nearly two decades. While the apparent advantages of higher density tree planting on dispersal and understory establishment of larger seeded, later-successional species recruitment is notable, more time is needed to assess whether these differences will persist and transition to the more rapid development of a mature later-successional canopy. Our results underscore the need for ecological restoration planning and monitoring that targets biodiversity recovery over multiple decades.

Changing characteristics of land cover, landscape pattern and ecosystem services in the Bohai Rim region of China

Since the Anthropocene, ecosystems have been continuously deteriorating due to global climate change and human intervention. Exploring the changing characteristics of land use/land cover (LULC), landscape pattern and ecosystem service (ES) and their drivers is crucial for regional ecosystem management and sustainable development. Taking the Bohai Rim region of China as an example, we used the land use transfer matrix, landscape pattern index and InVEST model to analyze the changing characteristics of LULC, landscape pattern and six key ESs [crop production (CP), water yield (WY), carbon storage (CS), soil conservation (SC), habitat quality (HQ), landscape aesthetics (LA)] during 2000–2020. Detailed analysis of the natural and anthropogenic factors affecting the landscape pattern and ES changes has been considered in this study. The results show that the areas of forest, water and impervious land increased, while those of cropland, shrubs, grassland and barren land decreased during 2000–2020. The landscape was fragmented, complex and decentralized during 2000–2015, while the three trends eased during 2015–2020. From 2000 to 2020, CP, WY, and SC capacity show an increasing trend, while CS, HQ, and LA capacity tend to a decline. Natural factors (e.g., precipitation, temperature, altitude) and human factors (e.g., technological progress, policy changes, and LULC forms) are the main factors affecting landscape pattern and ESs. The present study can provide theoretical basis for ecological restoration, ecological product value realization, and land planning in the typical developed urban area.

Failure to Drain: Expert Resistance and Environmental Thought in the Seventeenth-Century Dutch Republic

Abstract Historical scholarship has long highlighted the extensive landscape interventions initiated by state agents, early capitalists and experts in the early modern period, and pointed to the fierce, often violent resistance they evoked from local and rural communities. Such an approach risks narrowly aligning expertise with intervention in the service of states or capitalist elites and positioning experts in direct opposition to people. This article uses the history of land reclamation in the seventeenth-century Dutch Republic, usually told as a harmonious success story of premodern human intervention in nature, to explore the nature and politics of expertise and environmental thought as different elites clashed. Focusing on the proposed but not executed drainage of the Haarlemmermeer, it demonstrates how experts came to act as agents of resistance who argued for conservation and caution rather than intervention, and shows we can use expert exchanges to gain better insight into the divisive nature of environmental thought in the early modern period.

Thinning Modulates the Soil Organic Carbon Pool, Soil Enzyme Activity, and Stoichiometric Characteristics in Plantations in a Hilly Zone

Thinning, a core forest management measure, is implemented to adjust stand density and affect soil biogeochemical processes by changing biotic and abiotic properties. However, the responses of soil organic carbon (SOC), soil enzyme activity (EEA), and stoichiometry (EES) in plantations in hilly zones to thinning have received little attention. To test the hypothesis that thinning has regulatory effects on the SOC pool, EEA, and EES characteristics, field sampling and indoor analysis were conducted 9 years after thinning. Thinning significantly influenced the soil properties, especially in the topsoil, and significantly greater SOC and mineral-associated organic carbon (MAOC) contents were observed in the high-density treatment. The EEAs in the topsoil tended to increase with increasing density. SOC, MAOC, and C to phosphorus (C:P) had the greatest influence on the soil EEAs and EESs. Microbial metabolic limitations tended to change from nitrogen to phosphorus with increasing density. The soil properties, SOC fractions, available nutrients, and elemental stoichiometry drove microbial metabolic limitations and were significantly positively correlated with β-glucosidase, elemental stoichiometry, and EES. This study deepens our understanding of EEAs, SOC, and nutrient dynamics under thinning practices and elucidates how forest tending measures affect soil biogeochemical processes, thereby providing ideas for developing strategies to mitigate the adverse impacts of human interventions.

Global distribution prediction and ecological conservation of basking shark (Cetorhinus maximus) under integrated impacts

Global climate change presents substantial threats to marine ecosystems, with particularly profound impacts on widely distributed migratory species. The basking shark (Cetorhinus maximus), the second-largest fish species, faces significant conservation challenges due to overfishing, habitat degradation, and climate change, necessitating urgent research to address knowledge gaps in its spatial distribution and interactions with changing marine environments. This study employs various environmental variables and distribution data to construct a global species distribution model for basking sharks, predicting their distribution patterns under current and future climate scenarios. The results indicate that chlorophyll, sea surface temperature, silicate and mixed layer depth are the primary factors determining habitat suitability for basking sharks. Under high-emission scenarios (Shared Socioeconomic Pathway, SSP5–8.5), our model predicts a shift toward the higher latitudes of the northern hemisphere in basking shark habitats, including temperate and sub-Arctic waters. Ecological corridor analysis identifies critical migratory pathways and pinch points, emphasizing the importance of incorporating the effects of climate change and human activities in the formulation of conservation strategies. The finding underscores the importance of integrated conservation strategies, highlighting how positive human interventions can aid in accurately identifying critical ecological corridors to ensure the long-term survival of the basking shark. Adaptive, science-based conservation measures are crucial to mitigating the effects of climate change and human activities, supporting the resilience of marine ecosystems.

Identifying issues in international construction projects from news text using pre-trained models and clustering

The uncontrollable nature of international construction projects requires continuous monitoring of issues in the host country. News articles can provide relevant information to monitor the issues, but the manual investigation of substantial news text is impractical. This paper proposes a framework to automatically collect information related to the host country's business environments from news text, consisting of three modules: (1) web scraping for collecting news text; (2) text embedding using a pre-trained language model; and (3) text clustering for extracting essential issues. Applying this framework to real-world news demonstrated its proficiency in identifying significant issues, outperforming the existing similar methods in terms of: (1) the accuracy of issue identification; (2) the quality of identified issues; and (3) the degree of human intervention. This paper contributes to the body of knowledge by showcasing the utility of news text in gathering information and identifying issues about the host country during international projects.

A process evaluation of a family planning, livelihoods and conservation project in Rukiga, Western Uganda.

Although Population-Health-Environment (PHE) approaches have been implemented and studied for several decades, there are limited data on whether, how and why they work. This study provides a process evaluation of the 'Healthy Wetlands for the Cranes and People of Rukiga, Uganda' project, implemented by an NGO-local hospital consortium. This programme involved a research design element, testing two delivery modalities to understand the added benefit of integrating conservation, livelihoods and human health interventions, compared to delivering sector support services separately (as is more usual). The process evaluation sought to understand how the programme was implemented, the mechanisms of impact, how it was shaped by the context in which it was delivered and whether there were discernable differences across the two delivery arms. Methods involved key informant interviews with implementing staff and community educators, a review of programme documents and secondary qualitative analysis of interviews and focus groups with community members. The findings include a statistically significant increase in the reach of the programme, in both service delivery and sensitization activities, when the sectors were fully integrated. It appears that this comparative advantage of integration is because of the improved acceptability and motivation among stakeholders, and increased initiative (and agency) taken by community-based peer educators and community members. We argue that the 'software' of the programme underpins these mechanisms of impact: trust-based relationships embedded in the system enabled coordinated leadership, supported local staff agency and encouraged motivation.

Health monitoring and fault analysis of induction motors: a review

Abstract Induction motors are in high demand for industrial applications due to their reliable and efficient performance compared to other electrical motors. Therefore, the implementation of a predictive maintenance scheme is necessary to minimise financial losses in terms of revenue and maintenance costs. This scheme involves health monitoring system, aimed to enhance motor reliability, extend their useful lifespan and reduce maintenance expenses. Furthermore, traditional health monitoring systems often involve human intervention, which can slow down the diagnosis process. Therefore, a self-sufficient automated system has evolved to improve motor performance and reliability. This paper presents a comprehensive study of induction motor failures and the various methods used for their diagnosis. Additionally, it also discussed the importance of predictive maintenance and the pivotal role played by automated systems in ensuring the sustained efficiency of induction motors in industrial settings.

A Web-Interface Based Decision Support System for Optimizing Home Healthcare Waste Collection Vehicle Routing

Background: The significant increase in home healthcare (HHC) driven by technological advancements, an ageing population, and heightened disease outbreaks—especially evident during the COVID-19 pandemic—has created an urgent need for improved medical waste management. Methods: This paper presents the development of a decision support system with a web-based interface designed for efficient medical waste collection in the HHC sector. Results: The system utilises Flask for backend operations, with HTML and CSS for the user interface, and manages data using JSON files. Its flexible design supports real-time adjustments for various vehicle types and changing waste production locations. It incorporates dynamic routing by employing two sophisticated metaheuristic algorithms: the Strength Pareto Evolutionary Algorithm (SPEA-2) and the Non-Dominated Sorting Genetic Algorithm (NSGA-II). This setup supports different dataset sizes and vehicle fleets, including Internal Combustion Engine (ICE) vehicles and Electric Vehicles (EVs). Conclusions: The automation reduces uncertainties in waste collection by minimising human intervention. The system is built to be easily adaptable for other sectors with minor modifications and can be expanded to test various scenarios with new selectable parameters.

Streamlining Patient Data Processing for Payer Compliance with Scalable Big Data Automation

In the fast-changing environment of value-based healthcare, providers must prepare and submit diagnosis files for patients to payers with ever-changing requirements from CMS for contracts. Changing specifications from payers repeatedly requires a flexible system to automatically process items with little reliance on human intervention. It provides a scalable data engineering framework that makes use of PySpark and Apache Airflow to automate and streamline the generation of patient diagnosis files. Its design allows it to be dynamically adapted to changes in specifications, which enhances both operational efficiency and compliance with the automation of complex data transformation processes and large-scale data processing. This framework not only optimizes the reimbursement process but also strengthens the foundations of value-based care by supporting improved patient outcomes and ensuring financial alignment with payer requirements through improving accuracy, timeliness, and reducing manual coding efforts. The proposed framework significantly enhances data processing speed, achieving a 50% reduction in processing time compared to the traditional ETL approach. It offers scalability improvements, allowing data handling from 1 TB to 5 TB—an increase of four times the previous limit—while minimizing manual effort through automation with Airflow, resulting in a 70% reduction in manual intervention.

Targeting Cognitive Resilience through Prebiotics: A Focused Perspective

This perspective article is a product of the work of an expert group within the Prebiotic Task Force convened by the International Life Sciences Institute Europe, a non-profit organization that brings together experts from academia, industry, and public service to catalyze nutrition science for public benefit. An expert group was conceived in October 2023 to discuss the evidence base on the use of prebiotics to promote cognitive functioning, with a focus on highlighting knowledge gaps and proposing a list of recommendations to guide this specific area of research forward. To address this, we evaluated existing systematic reviews and meta-analyses of human intervention studies that examine the effects of prebiotics on cognitive functioning. These are predominantly conducted in healthy participants under basal conditions and have, to date, revealed limited effects. In this perspective, we propose that prebiotics should be investigated as agents to promote cognitive resilience by testing their effects on cognitive performance under certain cognition-taxing factors that individuals encounter across their lifespan. These include stress, poor sleep outcomes, sedentary behavior, and unhealthy dietary patterns, all of which have been shown to be associated with altered microbiome and impact global cognition or specific cognitive domains. In addition, we recommend identifying vulnerable populations that are either subclinical or that struggle chronically or periodically with 1 or more cognition-taxing factors, to better uncover the boundary conditions for prebiotic effectiveness. By broadening the scope of research to include diverse populations and challenging conditions in daily life or experimental settings, we can expand our understanding of the role of prebiotics not only in cognitive health or impairment, but also as potential preventative agents that may promote cognitive resilience during aging and in response to various lifestyle-related challenges.

Human-Nature Boundaries: Cultural Heritage, Landscape Ecology, and Healing in the Kumano Kodo

Abstract: The Kumano Kodo, an ancient pilgrimage route network in the Kii Peninsula of Japan, serves as a unique case study in the intersection of cultural heritage, landscape ecology, and human-nature relationships. This paper explores the dynamic interactions between human interventions and natural processes along the Kumano Kodo, highlighting how landscape ecology principles illustrate the blurred boundaries between nature and culture. The rewilding of the human-imposed structures, coupled with the restorative experiences of modern pilgrims, reinforces the notion of coexistence rather than dominance over nature. The findings support Turners theory of landscape dynamics and Mortons assertion that the human-nature dichotomy is artificial, showing how human interventions and natural processes coalesce in a living landscape. The study also applies Kaplans Attention Restoration Theory to demonstrate the psychological benefits of engaging with cultural landscapes. However, the research is limited by its focus on a specific demographic of pilgrims and calls for more diverse methodologies in future studies. Broader data collection will offer deeper insights into the long-term psychological effects and cultural significance of such heritage sites.

Natural assets, changes, and variations of the socioeconomic-environmental systems along the Asian drylands belt

Abstract The amount of and changes in a country's natural assets are crucial for developing national strategic plans and policies due to their foundational role in determining the resilience of social-environmental systems (SES), especially under a changing climate. Many integrated metrics on natural assets have been proposed based on individual measures to provide insights into the state of national natural resources. This is particularly true for countries experiencing extreme environmental stresses. Drawing on longitudinal data spanning from 1980 to 2020, the objective of this study is to analyze nuanced distinctions across 23 political entities (PEs) in the dryland regions of mid-latitudinal Asia, investigating their interannual variabilities over the four-decade study period and discerning potential driving forces. We examined three key integrated measures of the SES: ecosystem water use efficiency (WUE), human appropriation of net primary production (HANPP), and human appropriation of water resources (HAWR). We found increased variability as well as spikes in extreme values in each of these three measures of SES function among the 23 PEs over the study period. Water stress played an increasing and more important role than temperature in influencing the magnitude and variations of the three measures. Our results also indicate that human interventions may help increase the efficiency of water use in this dryland region of the world.

Impact of forest cover and human intervention on crop water footprint

Impact of forest cover and human intervention on crop water footprint

Using Brain Waves and Computer Interface Technology as a Communication System

ABSTRACT Introduction The existing methods for individual emergency alert systems often rely on physical or voice-based human intervention, which may not be practical or safe in certain emergency situations or for people with certain rare medical conditions or disabilities. Popular voice command programs such as Siri and Alexa can be loud, drawing unwanted attention. Additionally, existing devices are limited to indoor usage, lack portability, involve multiple wires, have low noise tolerance, and offer limited customization options. This study introduces a novel method for emergency alert using brain waves. Method An electroencephalography (EEG) headset device was used to capture the user’s brain waves. After calibration, the device identifies peak brain signals and stores them for future use. When a command is triggered, the device’s Bluetooth functionality communicates with a dedicated application installed on any digital device. The user can use their thoughts to select a predefined command within the application, which is then transmitted to any local WiFi network or internet connection. Results Overall, this pilot study achieved a success rate of 96–98% for receiving the brain-computer interface (BCI) commands and sending the appropriate SMS text messages. Conclusion By leveraging these technologies, disabled individuals may access and use new technologies, starting with the ability to text message using their mind.

A Historical Review of the Artificial Pollination of Vanilla planifolia: The Importance of Collaborative Research in a Changing World.

The natural fertilization of Vanilla planifolia has long been a matter of speculation. Stingless (tribe Meliponini) and orchid bees (tribe Euglossini) are often cited as effective pollinators, but direct evidence is notoriously lacking. As with other food-deceptive orchids, the natural fruit-set in V. planifolia is low and does not occur spontaneously outside its native range in Middle America. Fruiting has, therefore, necessitated human intervention through artificial pollination. How Vanilla first came to be artificially pollinated is a controversial issue spurring egotism and nationalism. There are numerous texts offering differing versions of the historical events that led to the discovery of the artificial fertilization of V. planifolia and its propagation as a crop. Historical records show Vanilla was simultaneously being pollinated in several parts of the world. I argue that the suspected independent simultaneous discoveries made in Liège, Paris, Padua, the Dutch colony of Java (Indonesia), and the French insular colonies Réunion (Bourbon), Guadeloupe, and Martinique are not unconnected. I conclude that they can be traced back to a single discoverer whose feat was spread around the globe by a tight network of corresponding naturalists. This view contrasts with previous authors. Finally, current concerns regarding Vanilla pollination and production are addressed, highlighting the need for immediate actions to conserve the genetic diversity of the crop's wild relatives to attenuate the effect of extreme climates in a changing world. A plea is made to shift the focus to Middle America, stimulating and supporting local research and conservation efforts and the allocation of funds from this billion-dollar industry.