Technical Limitations Research Articles

Programmable Lipid Bilayer Tension-Control Apparatus for Quantitative Mechanobiology.

The biological membrane is not just a platform for information processing but also a field of mechanics. The lipid bilayer that constitutes the membrane is an elastic body, generating stress upon deformation, while the membrane protein embedded therein deforms the bilayer through structural changes. Among membrane-protein interplays, various channel species act as tension-current converters for signal transduction, serving as elementary processes in mechanobiology. However, in situ studies in chaotically complex cell membranes are challenging, and characterizing the tension dependency of mechanosensitive channels remains semiquantitative owing to technical limitations. Here, we developed a programmable membrane tension-control apparatus on a lipid bilayer system. This synthetic membrane system [contact bubble bilayer (CBB)] uses pressure to drive bilayer tension changes via the Young-Laplace principle, whereas absolute bilayer tension is monitored in real-time through image analysis of the bubble geometry via the Young principle. Consequently, the mechanical nature of the system permits the implementation of closed-loop feedback control of bilayer tension (tension-clamp CBB), maintaining a constant tension for minutes and allowing stepwise tension changes within a hundred milliseconds in the tension range of 0.8 to 15 mN·m-1. We verified the system performance by examining the single-channel behavior of tension-dependent KcsA and TREK-1 potassium channels under scheduled tension time courses prescribed via visual interfaces. The result revealed steady-state activity and dynamic responses to the step tension changes, which are essential to the biophysical characterization of the channels. The apparatus explores a frontier for quantitative mechanobiology studies and promotes the development of a tension-operating experimental robot.

Advanced Exergy-Based Optimization of a Polygeneration System with CO2 as Working Fluid.

Using polygeneration systems is one of the most cost-effective ways for energy efficiency improvement, which secures sustainable energy development and reduces environmental impacts. This paper investigates a polygeneration system powered by low- to medium-grade waste heat and using CO2 as a working fluid to simultaneously produce electric power, refrigeration, and heating capacities. The system is simulated in Aspen HYSYS® and evaluated by applying advanced exergy-based methods. With the split of exergy destruction and investment cost into avoidable and unavoidable parts, the avoidable part reveals the real improvement potential and priority of each component. Subsequently, an exergoeconomic graphical optimization is implemented at the component level to improve the system performance further. Optimization results and an engineering solution considering technical limitations are proposed. Compared to the base case, the system exergetic efficiency was improved by 15.4% and the average product cost was reduced by 7.1%; while the engineering solution shows an increase of 11.3% in system exergetic efficiency and a decrease of 8.5% in the average product cost.

Research on the Application and Innovation of Environmental Design in Ideological and Political Work in Universities

As higher education continues to evolve, the effective integration of environmental design and ideological and political work has become a key issue for enhancing educational outcomes. This paper delves into the theoretical foundations, current status, and applications of environmental design in conjunction with ideological and political work, proposing innovative models and strategies. First, the article analyzes the core theories of environmental design, including environmental psychology, spatial cognition, and environmental behavior theory, and explores their intersection with ideological and political education theory, educational psychology, and socio-cultural theory. Second, the paper evaluates the current state of environmental design in universities, identifying the effectiveness and challenges, such as insufficient alignment with objectives, technical and financial limitations, and imperfect evaluation mechanisms. Lastly, the article introduces innovative models like thematic design, functional zoning, and immersive experience design, suggesting interdisciplinary integration, intelligent design, and community feedback mechanisms as strategies for innovation. Practical guidance and policy recommendations are provided to promote the deeper application of environmental design in ideological and political education.

The use of drones for studying the behaviour of mammals

Since the advent and wide use of unmanned aerial vehicles (UAVs), they have been increasingly useful in monitoring the abundance, distribution and behaviour of terrestrial and aquatic animals. At present, this technique is actively applied to mammal research. The diversity and relative availability of drones allows for a variety of research tasks to be achieved. The use of UAVs has its advantages and disadvantages, these being discussed in the present review. The study examines the advantages of using UAVs in comparison to other methods, identifies new research opportunities opened up by drones, and emphasizes the advantages of modern analytical tools. The technical limitations of UAVs and the problem of the negative impact of this technique on mammals are discussed. The need to minimize the disturbance of animals during such research is emphasized. In addition, the work summarizes the experience of using UAVs in the studies on Russia’s theriofauna.

Near-field strong coupling and entanglement of quantum emitters for room-temperature quantum technologies

In recent years, quantum nanophotonics has forged a rich nexus of nanotechnology with photonic quantum information processing, offering remarkable prospects for advancing quantum technologies beyond their current technical limits in terms of physical compactness, energy efficiency, operation speed, temperature robustness and scalability. In this perspective, we highlight a number of recent studies that reveal the especially compelling potential of nanoplasmonic cavity quantum electrodynamics for driving quantum technologies down to nanoscale spatial and ultrafast temporal regimes, whilst elevating them to ambient temperatures. Our perspective encompasses innovative proposals for quantum plasmonic biosensing, driving ultrafast single-photon emission and achieving near-field multipartite entanglement in the strong coupling regime, with a notable emphasis on the use of industry-grade devices. We conclude with an outlook emphasizing how the bespoke characteristics and functionalities of plasmonic devices are shaping contemporary research directives in ultrafast and room-temperature quantum nanotechnologies.

Metagenomic discovery of microbial eukaryotes in stool microbiomes.

Host-associated microbiota form complex microbial communities that are increasingly associated with host behavior and disease. While these microbes include bacterial, archaeal, viral, and eukaryotic constituents, most studies have focused on bacteria due to their dominance in the human host and available tools for investigation. Accumulating evidence suggests microbial eukaryotes in the microbiome play pivotal roles in host health, but our understandings of these interactions are limited to a few readily identifiable taxa because of technical limitations in unbiased eukaryote exploration. Here, we combined cell sorting, optimized eukaryotic cell lysis, and shotgun sequencing to accelerate metagenomic discovery and analysis of host-associated microbial eukaryotes. Using synthetic communities with a 1% microbial eukaryote representation, the eukaryote-optimized cell lysis and DNA recovery method alone yielded a 38-fold increase in eukaryotic DNA. Automated sorting of eukaryotic cells from stool samples of healthy adults increased the number of microbial eukaryote reads in metagenomic pools by up to 28-fold compared to commercial kits. Read frequencies for identified fungi increased by 10,000× on average compared to the Human Microbiome Project and allowed for the identification of novel taxa, de novo assembly of contigs from previously unknown microbial eukaryotes, and gene prediction from recovered genomic segments. These advances pave the way for the unbiased inclusion of microbial eukaryotes in deciphering determinants of health and disease in the host-associated microbiome.IMPORTANCEMicrobial eukaryotes are common constituents of the human gut where they can contribute to local ecology and host health, but they are often overlooked in microbiome studies. The lack of attention is due to current technical limitations that are heavily biased or poorly recovered DNA from microbial eukaryotes. We developed a method to increase the representation of these eukaryotes in metagenomic sequencing of microbiome samples that allows to improve their detection compared to prior methods and allows for the identification of new species. Application of the technique to gut microbiome samples improved detection of fungi, protists, and helminths. New eukaryotic taxa and their encoded genes could be identified by sequencing a small number of samples. This approach can improve the inclusion of eukaryotes into microbiome research.

Estudo das dificuldades encontradas por laboratórios brasileiros na implementação de métodos alternativos ao uso de animais: avaliação de irritação ocular e o teste de Permeabilidade e Opacidade da Córnea Bovina (BCOP)

Introduction: Ensuring the safety of products causing ocular irritation is crucial. The Bovine Corneal Opacity and Permeability (BCOP) test is an accepted alternative method for ocular irritation assessment in regulatory contexts. Objective: This study aimed to identify the main challenges and technical limitations faced by professionals when implementing alternative methods, particularly for ocular irritation assessment. Method: A qualitative research approach was employed using questionnaires (n = 22 respondents) and interviews (n = 7), followed by discourse analysis. Results: Findings reveal that 71% of alternative method practitioners encounter significant difficulties, primarily due to high validation/implementation costs (62%), driven by consumable expenses. Limited access to training (62%) and importation of reagents and equipment (43%) were also noted. Key BCOP limitations include restricted access to bovine eyeballs (50%), less precise risk classification (43%), and substantial eyeball waste (29%) due to damage. Interviews supported these conclusions, highlighting challenges such as travel to slaughterhouses, insufficient technical details in the OECD Guide, the need for additional support materials, and a lack of experienced professionals. These results underscore the need for expanded training opportunities for test implementation. The high cost of imported materials indicates greater validation expenses in Brazil than in other countries. Conclusions: Addressing these challenges requires an open innovation environment, fostering collaboration among the Triple Helix (Companies, Scientific and Technological Institutions, and Government).

A fine kinetic balance of interactions directs transcription factor hubs to genes.

Eukaryotic gene regulation relies on the binding of sequence-specific transcription factors (TFs). TFs bind chromatin transiently yet occupy their target sites by forming high-local concentration microenvironments (hubs and condensates) that increase the frequency of binding. Despite their ubiquity, such microenvironments are difficult to study in endogenous contexts due to technical limitations. Here, we use live embryo light-sheet imaging, single-molecule tracking, and genomics to overcome these limitations and investigate how hubs are localized to target genes to drive TF occupancy and transcription. By examining mutants of a hub-forming TF, Zelda, in Drosophila embryos, we find that hub formation propensity, spatial distributions, and temporal stabilities are differentially regulated by DNA binding and disordered protein domains. We show that hub localization to genomic targets is driven by a finely-tuned kinetic balance of interactions between proteins and chromatin, and hubs can be redirected to new genomic sites when this balance is perturbed.

ARISE-The Accuracy Evaluation of a Patient-Specific 3D-Printed Biopsy System Based on MRI Data: A Cadaveric Study.

Brain biopsy is required for the accurate specification and further diagnosis of intracranial findings. The conventional stereotactic frames are used clinically for biopsies and offer the highest possible precision. Unfortunately, they come with some insurmountable technical and logistical limitations. The aim of the present work is to determine the clinical precision in the needle biopsy of the human brain using a new patient-specific stereotactic navigation device based on 3D printing. MRI data sets of human cadaver heads were used to plan 32 intracranial virtual biopsy targets located in different brain regions. Based on these data, 16 individualized stereotactic frames were 3D-printed. After the intraoperative application of the stereotactic device to the cadaver's head, the actual needle position was verified by postoperative CT. Thirty-two brain areas were successfully biopsied. The target point accuracy was 1.05 ± 0.63 mm, which represents the difference between the planned and real target points. The largest target point deviation was in the coronal plane at 0.60 mm; the smallest was in the transverse plane (0.45 mm). Three-dimensional-printed, personalized stereotactic frames or platforms are an alternative to the commonly used frame-based and frameless stereotactic systems. They are particularly advantageous in terms of accuracy, reduced medical imaging, and significantly simplified intraoperative handling.

Real-Time Video Processing for Measuring Zigzag Length of Pantograph–Catenary Systems Based on GPS Correlation

Recent years have seen outstanding developments in research and technology, highlighting the importance of railway transportation, especially the implementation of high-speed trains, which is becoming more and more challenging. This facilitates extensive research into the science and technology of the electrical interaction between the components of pantograph–catenary systems (PCSs). Problems regarding the PCS can result in infrastructure incidents, potentially stopping train operations. A common cause of failure in electrified railway PCS is a contact wire’s zigzag length that exceeds the prescribed technical limit, which can be caused by missing droppers or faults in the mounting mechanism. This work proposes a video camera-based monitoring technique for zigzag geometry measurement that additionally employs a Global Positioning System (GPS) sensor to detect the current geographical position of the point of zigzag length measurement. There are two proposed techniques for measuring the length of the zigzag based on image processing. In the first technique, using previously recorded data, the images are analyzed in the laboratory, and in the second, the images are analyzed in real time. Based on the results, we suggest a model and prediction of zigzag length employing hybrid deep neural networks.

Application of Genetic Research Techniques in Myopia Research

The rapid development of genetic research techniques has provided new perspectives and tools for the study of myopia. This paper reviews several key genetic technologies, including genome sequencing, gene editing technologies, genetic association studies, and epigenetic technologies, and explores their applications in myopia research. Through genome sequencing, researchers can identify genetic variations associated with myopia; gene editing technologies offer powerful tools to explore gene functions and their impact on myopia; genetic association studies help reveal genes and genetic markers related to myopia; and epigenetic technologies provide insights into how environmental factors influence the genetic mechanisms underlying myopia. Despite significant achievements, current research faces challenges such as data complexity, ethical issues, and technical limitations. Future advancements in technology and research are expected to continue expanding the application of genetic techniques in myopia research, offering new strategies and methods for the prevention and treatment of myopia.

Integrating Digital Assistive Technologies Into Care Processes: Mixed Methods Study.

Current challenges in patient care have increased research on technology use in nursing and health care. Digital assistive technologies (DATs) are one option that can be incorporated into care processes. However, how the application of DATs should be introduced to nurses and care professionals must be clarified. No structured and effective education concepts for the patient-oriented integration of DATs in the nursing sector are currently available. This study aims to examine how a structured and guided integration and education concept, herein termed the sensitization, evaluative introduction, qualification, and implementation (SEQI) education concept, can support the integration of DATs into nursing practices. This study used an explanatory, sequential study design with a mixed methods approach. The SEQI intervention was run in 26 long-term care facilities oriented toward older adults in Germany after a 5-day training course in each. The participating care professionals were asked to test 1 of 6 DATs in real-world practice over 3 days. Surveys (n=112) were then administered that recorded the intention to use DATs at 3 measurement points, and guided qualitative interviews with care professionals (n=12) were conducted to evaluate the learning concepts and effects of the intervention. As this was a pilot study, no sample size calculation was carried out, and P values were not reported. The participating care professionals were generally willing to integrate DATs-as an additional resource-into nursing processes even before the 4-stage SEQI intervention was presented. However, the intervention provided additional background knowledge and sensitized care professionals to the digital transformation, enabling them to evaluate how DATs fit in the health care sector, what qualifies these technologies for correct application, and what promotes their use. The care professionals expressed specific ideas and requirements for both technology-related education concepts and nursing DATs. Actively matching technical support, physical limitations, and patients' needs is crucial when selecting DATs and integrating them into nursing processes. To this end, using a structured process such as SEQI that strengthens care professionals' ability to integrate DATs can help improve the benefits of such technology in the health care setting. Practical, application-oriented learning can promote the long-term implementation of DATs.

Pediatric Extracorporeal Membrane Oxygenation in Restrictive and Hypertrophic Cardiomyopathy: A Single Center Experience

Patients with restrictive cardiomyopathy (RCM) and hypertrophic cardiomyopathy (HCM) were previously considered poor candidates for mechanical circulatory support due to technical limitations related to restrictive ventricular physiology and small ventricular size, limiting the ability to provide adequate flows and decompress the heart. Literature examining use of extracorporeal membrane oxygenation (ECMO) in this population consists of a single case series reporting no survivors. We report our experience providing ECMO in children with RCM or HCM at a large pediatric quaternary cardiac center. Between 2012 and 2022, five patients (four RCM, one HCM) were supported with seven ECMO runs. All patients were cannulated to ECMO with ongoing cardiopulmonary resuscitation. Four patients survived decannulation from ECMO (median support time 209 hr, interquartile range [IQR]: 48–265), of which three (60%) survived to hospital discharge after transitioning to a ventricular assist device (VAD) and undergoing orthotopic heart transplant (OHT). Two remain alive at long-term follow-up with normal or mildly impaired functional status. These findings suggest that while RCM and HCM have traditionally been considered contraindications to ECMO due to adverse outcomes, this population may be successfully supported with ECMO with survival comparable to international registry outcomes in select centers where VAD as a bridge to OHT is available.

Thulium laser en bloc resection reduces recurrence rates in NMIBC patients with tumor diameters ≥3cm compared to transurethral resection: a non-randomized controlled study

PurposeThe advantages of en bloc resection of bladder tumors (ERBT) over transurethral resection of bladder tumors (TURBT) in terms of patient prognosis are not yet clear, and there are some technical limitations. We aimed to compare the tumor recurrence in non-muscle invasive bladder cancer (NMIBC) patients with tumor diameter ≥ 3 cm undergoing either TURBT or thulium laser ERBT.MethodsThe patients included were those diagnosed with NMIBC based on pathological confirmation and underwent TURBT or modified thulium laser ERBT in the Department of Urology at Tongji Hospital from 2019 to 2024. The patients’ medical records were meticulously collected and postoperative follow-up was diligently conducted by trained personnel. Recurrence-free survival curves were generated utilizing the Kaplan–Meier method, and group comparisons were performed using the log-rank trend test. To minimize biases, we employed stratified survival analysis, alongside univariate and multivariate Cox regression analysis.ResultsThis study included a total of 396 patients with NMIBC, with 214 undergoing TURBT and 182 undergoing ERBT. For all patients, there was no significant difference (P = 0.180) in RFS between the TURBT and ERBT groups. For patients with tumor diameter ≥ 3 cm, stratified analysis revealed that the RFS of the ERBT group was significantly better than that of the TURBT group (P = 0.033). However, in patients with tumor diameter < 3 cm, there was no significant difference (P = 0.150) between the two groups. Univariate (HR: 0.52, 95% CI 0.28–0.96, P = 0.036) and multivariate (HR: 0.49, 95% CI 0.25–0.93, P = 0.031) Cox analyses revealed that ERBT was an independent protective factor for recurrence in NMIBC patients with tumor diameter ≥3cm.ConclusionThis study found that thulium laser ERBT may offer advantages in managing NMIBC patients with tumor diameters ≥ 3 cm. This could potentially drive the clinical application of thulium laser ERBT.Trial registrationProtocol was registered at Chinese Clinical Trial Register (ChiCTR) with number ChiCTR2000035407 on 12 August 2020.

A Comprehensive Review of Electromyography in Rehabilitation: Detecting Interrupted Wrist and Hand Movements with a Robotic Arm Approach

Electromyography (EMG) is a diagnostic technique that measures the electrical activity generated by skeletal muscles. Utilizing electrodes placed either on the skin (surface EMG) or inserted directly into the muscle(intramuscular EMG), it detects electrical signals produced during muscle contractions. EMG is widely employed in clinical and research settings to assess muscle function, diagnose neuromuscular disorders,and guide rehabilitation therapy. Over the years, EMG has evolved from a basic measurement tool into an essential technology within clinical and research environments, propelled by advances in recording techniques and digital innovations. The integration of wearable technology and artificial intelligence (AI) has significantly expanded its applications, particularly in rehabilitation and sports science. By capturing muscle electrical activity through surface or intramuscular electrodes, EMG benefits from enhanced signal processing that improves accuracy and data analysis. Despite challenges such as signal interference and the complexities of movement patterns—especially in wrist and hand rehabilitation—EMG combined with robotic systems offers real-time feedback for precise and personalized therapy. However, obstacles like cost, complexity, and variability among patients still remain. Future advancements aim to make EMG more accessible and to integrate AI for tailored rehabilitation strategies, alongside improvements in sensors and wireless communication to enhance reliability and performance. This review explores various facets of EMG,from its fundamental principles to its application in detecting disrupted wrist and hand movements through robotic approaches. It provides a comprehensive analysis of EMG’s historical and technological evolution, recent innovations like AI and wearable devices, and its extensive applications in rehabilitation and sports science. Detailed case studies illustrate its effectiveness in areas such as stroke recovery and spinal cord injury rehabilitation. Additionally, the review addresses challenges like technical limitations and patient variability while emphasizing the integration of EMG with robotic systems for personalized therapy. It also discusses the significance of real-time feedback, future enhancements in AI and sensor technology, and the pressing need for more affordable, user-friendly solutions to improve therapeutic outcomes.

A Comprehensive Review of Unmanned Aerial Vehicle (UAV) Sprayers Used in Modern Agriculture

Global demand for food is increasing daily due to increase in population growth. Hence to meet these food demands for the growing population crop productivity must be enhanced. Plant pests and diseases are major threats to crop productivity causing an annual reduction of 20 to 40% in global crop production. For management of these pest and diseases spraying using manual sprayers is quite laborious and also not precise. Further manual spraying is hazardous to farmer’s health, World Health Organization (WHO) reported one million incidences of illness as a result of manually application of insecticides to crop fields. As a result, new automated drone technology techniques were unveiled. This review examines the application of Unmanned Aerial Vehicle (UAV) sprayers in modern agriculture, highlighting their transformative role in enhancing crop management and increasing efficiency. UAV technology has emerged as a vital tool for precision agriculture, offering benefits such as targeted pesticide and fertilizer application, reduced labor costs, and minimized environmental impact. This paper discusses the various types of UAV sprayers, their operational mechanisms, and the advantages they provide over traditional methods. Additionally, we explore challenges associated with UAV adoption, including regulatory issues, technical limitations, and the need for operator training. The review emphasizes the future potential of UAV sprayers in sustainable agriculture, suggesting that continued advancements in technology and regulatory frameworks will further integrate UAVs into mainstream agricultural practices.

GBMPhos: A Gating Mechanism and Bi-GRU-Based Method for Identifying Phosphorylation Sites of SARS-CoV-2 Infection.

Phosphorylation, a reversible and widespread post-translational modification of proteins, is essential for numerous cellular processes. However, due to technical limitations, large-scale detection of phosphorylation sites, especially those infected by SARS-CoV-2, remains a challenging task. To address this gap, we propose a method called GBMPhos, a novel method that combines convolutional neural networks (CNNs) for extracting local features, gating mechanisms to selectively focus on relevant information, and a bi-directional gated recurrent unit (Bi-GRU) to capture long-range dependencies within protein sequences. GBMPhos leverages a comprehensive set of features, including sequence encoding, physicochemical properties, and structural information, to provide an in-depth analysis of phosphorylation sites. We conducted an extensive comparison of GBMPhos with traditional machine learning algorithms and state-of-the-art methods. Experimental results demonstrate the superiority of GBMPhos over existing methods. The visualization analysis further highlights its effectiveness and efficiency. Additionally, we have established a free web server platform to help researchers explore phosphorylation in SARS-CoV-2 infections. The source code of GBMPhos is publicly available on GitHub.

Reconstructing infant mortality in Iberian Iron Age populations from tooth histology

The Neonatal Line (NNL) of the tooth serves as a unique identifier, allowing us to distinguish whether a child survived birth. This line is essential for assessing the age at death of infants from skeletal remains found in archaeological contexts. Our primary objective is to accurately determine the age of infant intramural inhumations from the Iberian Iron Age (8th-1st centuries BC) by analyzing histological sections of tooth germs. Due to their fragility and high susceptibility to taphonomic factors, these samples are challenging to handle. By accurately assessing their age, we aim to classify individuals into various stages of infant mortality, which will help reconstruct infant mortality patterns in these populations.We analyze unerupted and still-forming crown deciduous teeth from 45 infant burials. By calculating Crown Formation Time (CFT) and identifying the NNL, we determine both gestational and chronological ages. We further validate the reliability of NNL identification through Synchrotron X-ray Fluorescence (SXRF) elemental analysis (Ca, Zn, Cu) on two contemporary and two archaeological samples.Our histological study reveals the chronological age of 38 infants from Iberian settlements, ranging from the 30th week of gestation to the 2nd postnatal month. The age distribution shows an attritional mortality pattern, with nearly half experiencing perinatal mortality, including preterm births. These findings support the hypothesis that mortality was primarily attributed to natural causes. Our research enhances the understanding of infant life history events in prehistory by combining histological analysis of tooth NNL and CFT, highlighting the technique's potential and limitations.

Continuous digital cough monitoring during 6-month pulmonary tuberculosis treatment

IntroductionThe recent advances in digital and wearable technologies with artificial intelligence (AI) enable the use of continuous cough monitoring (CCM) to objectively monitor symptoms as surrogate markers of treatment efficacy in pulmonary tuberculosis (PTB). The objectives of this study are to describe the evolution of cough during PTB treatment in adult and to assess the feasibility of community-based CCM.MethodsWe prospectively enrolled PTB adult participants upon treatment initiation. Participants’ coughs were continuously monitored during 6 months with a smartphone loaded with an app able to detect cough by using an AI algorithm.ResultsTwenty-two participants were included. The median age was 28.5 (IQR: 22–42) and 62% were male. The median cough per hour (medCPH) was 11.0 (IQR: 7.0–27.0) at week 1. By the end of the intensive phase of PTB treatment at week 8, the medCPH was 3.5 (IQR: 1.5–7.0), which was significantly lower than the medCPH at week 1 (p=0.002). At week 26 (end of treatment), the medCPH was 1.0 (IQR: 1.0–2.5). The adherence to CCM was high during the first 13 weeks of PTB treatment and then waned over time. The adherence was similar during daytime and nighttime.ConclusionCough counts rapidly drop during the intensive phase of PTB treatment and then slowly decrease to a low baseline level by the end of the treatment. Community-based CCM using digital technology is feasible in low resource settings but requires evaluation of alternative approaches to overcome adherence issues and technical limitations (mobile internet and electricity availability).

Protected areas and disparate data: understanding geospatial data synthesis in poaching mitigation

Wildlife poaching remains a global threat to endangered species and human health, yet knowledge gaps remain. As new geospatial technologies are developed, evaluated, and put into practice in protected areas we need to know how protected areas synthesize geospatial data derived from these technologies. In this article, we evaluate results from a survey of protected area personnel and from in-depth interviews with personnel from two protected areas. Our structured survey focused on identifying workflows, characterizing the use of geospatial technologies, understanding how geospatial information is synthesized, and learning about the geospatial tools used by practitioners to make sense of protected area data. In addition, we conducted semi-structured interviews with protected area practitioners to provide added context to complement online survey results. We investigate how geospatial data from protected areas is synthesized by practitioners through the collection, organization, analysis, and fusion of geospatial datasets to support the protection of endangered species from poaching activities. Our results show how protected areas currently utilize two key types of geospatial data: device-based and human-generated. We highlight five themes which emerge via analysis of survey, interview, and observational data. These themes include organizational bureaucracy, trust in data collection and sharing, technical limitations, workforce limitations, and financial stressors. We conclude by outlining a series of challenges and opportunities in geographic information science to guide further research to understand geospatial synthesis in the context of protected area management.