Collection System Research Articles

Experiments with Combining LiDAR and Camera Data Acquired by UAS and Smartphone to Support Mapping

Abstract. Aerial mapping using Unmanned Aerial Systems (UAS), such as the DJI Mavic 3 Enterprise, has revolutionized photogrammetry, enabling efficient data capture for small-scale projects. The typical nadir perspective of UAS mapping, however, imposes limitations on capturing critical details of features due to its predominantly vertical viewpoint. Overcoming this challenge often requires manual, low-altitude flights by experienced UAS pilots to achieve high-angle oblique perspectives, unless gimbled camera mount is used. This study explores the integration of high oblique angle perspectives using the iPhone 15 Pro, which boasts advanced camera capabilities and an integrated LiDAR sensor, to complement UAS imagery. The iPhone 15 Pro's camera sensors provide a Ground Sampled Distance (GSD) comparable to UAS cameras, while its LiDAR sensor, with about five meters of range, enhances mapping capabilities by delivering accurate depth measurements in close range. By utilizing various georeferencing options for the imagery and LiDAR data from the iPhone 15 Pro with UAS nadir imagery, we can achieve a more comprehensive object space reconstruction, significantly improving the accuracy of geospatial mapping. Both the Mavic 3 Enterprise and the iPhone 15 Pro, though operating independently on their respective platforms, support Real-Time Kinematic (RTK) corrections, facilitating precise positioning for the entire system trajectory. Strategic placement and utilization of Ground Control Points (GCPs) aid in the georeferencing of the complete dataset, enhancing its overall accuracy. To validate the accuracy of the acquired data, checkpoints are established on-site. The positions derived from the integrated UAS and iPhone 15 Pro data are compared against these checkpoints to quantify the accuracy and reliability of the data. Additionally, Post-Processed Kinematic (PPK) techniques are employed to validate the trajectories of all data collection systems, ensuring the reliability of the acquired data, especially in instances where RTK corrections may be lacking. In summary, this research showcases comprehensive, multi-dimensional geospatial datasets by conducting validation studies that assess the accuracy and reliability of georeferenced datasets against known ground truth checkpoints. Such validation studies are crucial for identifying gaps in current methodologies and suggesting areas for improvement, thereby aiming to enhance the quality and accuracy of geospatial mapping applications. Through the integration of UAS and smartphone mapping, complemented by rigorous validation efforts, we aspire to achieve improved geospatial mapping accuracy.

Resilience in the time of crisis: A review of the maternal, perinatal and reproductive health effects of COVID-19 in South Africa

Background. The COVID‐19 pandemic had a profound effect on the health sector globally and in South Africa (SA). Objective. To review the effects of COVID‐19 on maternal, perinatal and reproductive health outcomes and service utilisation in SA. Methods. Three routine national data collection systems were sourced: the District Health Information System, the Saving Mothers reports of the National Committee on Confidential Enquiry into Maternal Deaths and the Saving Babies reports from the National Perinatal Morbidity and Mortality Committee using data from the Perinatal Problem Identification Program. Results. There were 35% and 8% increases in maternal and stillbirth mortality rates, respectively, in 2020 and 2021, which correlated with the COVID‐19 waves. However, in 2022, rates returned to pre‐COVID levels. Antenatal visits and facility births showed little change, but there was a shift to more rural provinces. The use of oral and injectable contraceptives and termination of pregnancy services decreased markedly in 2020 and 2021, with a sustained shift to long‐acting reversible contraceptives. The increase in maternal deaths was predominantly due to COVID‐19 respiratory complications, but also an increase in obstetric haemorrhage. Stillbirths increased significantly (10%) for birthweights between 2 000 g and 2 499 g, categorised mostly as unexplained stillbirths or preterm labour, but no increase in neonatal deaths was observed. Administrative avoidable factors increased by 24% in the 2020 ‐ 2022 triennium, but there was no increase in patient/community level or healthcare provider‐related avoidable factors during the pandemic years. Conclusion. COVID‐19 caused a marked increase in maternal death and stillbirth rates in 2020 and 2021 due to both direct effects of the virus and indirect effects on functioning of the health system. The continued, although modified, health‐seeking behaviour of women and the rapid return to pre‐COVID‐19 mortality rates demonstrates enormous resilience in women and the health system.

The Directions for Improving the Surface Wastewater Treatment Facilities

Prospective directions for increasing efficiency of the drains by improving the systems for collection, disposal and treatment of surface wastewater have been considered. The design and technological features of treatment facilities in operation have been analyzed. The significant shortcomings have been identified, as a result of which the quality of purified water discharged into water bodies, declared by manufacturers, is reduced and the operation is complicated. Promising directions for resolving the identified problems have been recommended: targeted formation of surface wastewater flows, increasing the engineering and technological level of mono-block structures, the use of modern structural materials, providing the possibility of remote monitoring and control of the technological process, as well as timely routine maintenance.

A review of EDLC and pseudocapacitance with synergistic integration of carbon-based and metal oxide materials for enhanced electrochemical energy storage

This paper provides a comprehensive analysis of the recent advancements in electrochemical double-layer capacitors (EDLCs) and pseudocapacitance, emphasizing the pivotal role of carbon-based materials, metal oxides, conducting polymers, and composites in augmenting the energy storage landscape. Through a systematic collection of electrochemical performance metrics, we elucidate the inherent advantages of these materials, such as superior electrical conductivity, enhanced surface area, and chemical robustness, which are instrumental in the development of next-generation supercapacitors. We discuss the integration of novel materials like reduced graphene oxide/hexagonal boron nitride composites, carbon onions, and various metal oxides that contribute to a significant increase in energy density and cycling stability. This work also highlights innovative fabrication techniques and synthesis methodologies that have resulted in electrodes with remarkable performance enhancements. Furthermore, the exploration of synergistic effects between different materials has led to hybrid structures that exhibit improved capacitive properties and operational efficiency.

Development and validation of an innovative headspace collection technique: volatile organic compound patterns emitted by different developmental stages of Halyomorpha halys

Over the past two decades, several headspace collection techniques have been used to detect and identify volatile organic compounds (VOCs) emitted by plants, pests, air, and soil. Volatiles emitted by pests and infected plants are usually found at low concentrations. The important challenge is to be able to capture an exact collection of relative quantities of the relevant VOCs. Here we present an innovative headspace collecting device (HSCD) for sampling VOCs, which ensures an exact regulation of mass flow velocity and collected total gas volume allowing besides qualitative analysis of collected VOCs, an exact comparison of their relative quantities in plant or insect headspace samples. The HSCD possess six parallel odor collection systems each consisting of a digital mass flow detector and controller connected to a vacuum pump, which are mounted in a trolley suitcase, connected by tubes, and wired electrically. The programming of the channels, can be done by a digital control unit. Using the HSCD, VOCs emitted by the brown marmorated stink bug (BMSB), Halyomorpha halys, from its different developmental stages including egg, nymphal stages, nymphal exuvia, and adults were collected on thermal desorption tubes and analyzed using an automated thermal desorber connected to a gas chromatography-mass spectrometry system. Forty-five VOCs were identified in total, which mainly consisted of tridecane (4.36-69.33%), E-2-decenal (4.24-26.48%), 2-undecenal (0.63-50.03%), and E-4-oxo-2-hexenal (1.22-20.58%). The random forest analysis revealed three different chemical patterns among BMSB life stages samples. In conclusion, these results indicate that the new developed HSCD, a mobile, easy to use, and reliable instrument, has a high potential to sample relevant VOCs of a specific life stage of an insect both qualitatively and quantitatively. It was demonstrated that this information can be used for identifying specific chemical signatures, which fit to specific life stages of the BMSB, and may be used as biomarker for on-site detection of this pest e.g. in shipping containers or agricultural areas.

A Review on Automatic Toll Collection System

One of the most crucial elements for any country's development is logistics, or transportation. Since India is one of the world's largest nations, road transportation plays a vital role in the country's economy. For any government, having fast road transit becomes essential, and toll plazas are essential to this. The most commonly used toll systems in India at the moment are the manual toll collection and FASTag systems. Toll plaza processing times rise as a result of their need for a toll collector or attendant. The Automatic Toll Collection System, or ATCS, is a tool used to automatically collect taxes. Here, radio frequency is used to help in identification. An RFID tag will be attached to a car. This tag is nothing more than an allocated unique identification number. The RTO, or traffic controlling body, will assign this. We shall keep all of his basic data and the amount he has paid in advance for the TOLL collection in line with this number. At the toll collection facility, the reader will be positioned strategically. His prepaid balance will be reduced by the tax amount each time the car passes the toll collection center. This essay discusses several automated toll collection systems that are intended to improve overall transportation efficiency, ease toll payment procedures, and lessen traffic congestion. The suggested method computes toll fees automatically by utilizing cutting-edge technology including mobile communication, GPS, and RFID (Radio Frequency Identification).

Implementation of the International Consortium of Health Outcomes Measurement CHD standard set in patients undergoing pulmonary valve replacement.

Despite the burden of CHD, a high cost and utilization condition, an implementation of long-term outcome measures is lacking. The objective of this study is to pilot the implementation of the International Consortium of Health Outcomes Measurement CHD standard set in patients undergoing pulmonary valve replacement, a procedure performed in mostly well patients with diverse CHD. Patients ≥ 8 years old undergoing catheterization-based pulmonary valve replacement were approached via various approaches for patient-reported outcomes, with a follow-up assessment at 3 months post-procedure. Implementation strategy analysis was performed via a hybrid type 2 design. Of the 74 patients undergoing pulmonary valve replacement, 32 completed initial patient-reported outcomes with variable response rates by strategy (email and in-person explanation 100%, email only 54%, and email followed by text/call 64%). Ages ranged 8-67 years (mean 30). Pre-procedurally, 34% had symptomatic arrhythmias, which improved post-procedure. For those in school, 43% missed ≥ 6 days per year, and over half had work absenteeism. Financial concerns were reported in 34%. Patients reported high satisfaction with life (50% [n = 16]) and health-related quality of life (90% [n = 26]). Depression symptoms were reported in 84% (n = 27) and anxiety in 62.5% (n = 18), with tendency towards improvement post-procedurally. Pilot implementation of the International Consortium of Health Outcomes Measurement CHD standard set in pulmonary valve replacement patients reveals a significant burden of disease not previously reported. Barriers to the implementation include a sustainable, automated system for patient-reported outcome collection and infrastructure to assess in real time. This provides an example of implementing cardiac outcomes set in clinical practice.

Healthcare Disparities among Socioeconomic Groups

Purpose: This study sought to explore the socioeconomic factors contributing to disparities in healthcare access and outcomes. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to healthcare disparities among socioeconomic groups. Preliminary empirical review revealed that individuals from lower socioeconomic backgrounds faced multiple barriers to healthcare access, leading to inequalities in health outcomes. The study highlighted the complex interplay between social factors such as income, education, and wealth, emphasizing the need for comprehensive, multisectoral approaches to address healthcare disparities. Despite progress, gaps in research, policy, and practice remained, underscoring the importance of continued efforts to achieve health equity through collaborative initiatives and evidence-based interventions. Unique Contribution to Theory, Practice and Policy: The Social Determinants of Health theory, Health Benefit model and Critical Medical Anthropology theory may be used to anchor future studies on healthcare disparities among socioeconomic groups. The study provided comprehensive recommendations to advance theory, practice, and policy. It contributed to theoretical frameworks by highlighting the complex interplay between socioeconomic factors and healthcare disparities. In practice, it emphasized the importance of patient-centered care and collaborative models to address social determinants of health. Policy recommendations focused on structural interventions to improve social and economic conditions and expand healthcare coverage. Capacity building efforts aimed to enhance skills and competencies, while improved data collection and monitoring systems were advocated for tracking progress. Finally, a research agenda prioritized understanding the mechanisms underlying disparities and evaluating intervention effectiveness. These recommendations aimed to promote health equity and ensure equitable access to healthcare services.

Effect of Solid Waste Management on Socio-Economic Development of Urban Area: A Case of Kicukiro District

This study investigates the impact of solid waste management on the socio-economic development of urban areas, focusing on the case of Kicukiro district. The objectives include assessing solid waste management practices in the district, analyzing the level of socio- economic development, and determining the relationship between solid waste management and community socio- economic development. Employing a quantitative research design, the study utilized means, standard deviation, and multiple regression for data analysis. The sample size comprised 388 participants selected through simple random sampling. Data was collected through questionnaires and documentary methods, and regression analysis was employed to test research hypotheses. The findings indicate a positive relationship between socio- economic development and key components of waste management, including waste generation and separation, waste collection, and treatment and disposal. The strong correlation between socio-economic development and waste generation and separation suggests that effective practices in these areas contribute significantly to socio- economic development, representing a notable 93.4% correlation (r = 0.934, p < 0.01). Similarly, organized waste collection systems show a robust positive correlation with overall socio-economic progress, emphasizing their crucial role in supporting economic activities within the community, with a substantial 92.1% correlation (r = 0.921, p < 0.01). The study also reveals a positive correlation between socio-economic development and proper waste treatment and disposal methods, highlighting their significant contribution to community well-being and economic activities, representing a strong 93.2% correlation (r = 0.932, p < 0.01). In conclusion, the research underscores the importance of a paradigm shift in waste perception and management, advocating for sustainable practices that recognize waste as a valuable resource. The recommendations include implementing comprehensive waste management strategies, community engagement through awareness campaigns, and fostering a sense of responsibility among residents for active participation in environmentally sustainable practices.

Experiments with a set of cooperative enrichment devices used by groups of Indo-Pacific bottlenose dolphins.

Dolphins in the wild cooperate to find food, gain and maintain access to mating partners, look after their young ones, or for the sheer joy of play. Under human care, environmental enrichments provide mental and physical stimulation and opportunities for the dolphins to practice their natural abilities. In this review, I focus on a set of enrichment devices we designed for cooperative problem-solving. They allowed the dolphins to utilize and improve their cognitive skills, leading to improved socialization within the group. While the devices provided appropriate challenges to the dolphins, they also allowed the investigation of the impact of demographic and social factors on the cooperative actions. We found that age and relatedness had no impact on cooperation; in turn, cooperation increased with group size. In addition, during the use of these cognitive enrichments, partner preference and intersexual differences were revealed in cooperative actions. The novel multi-partner devices were not only used by dolphin pairs but also by dolphin trios and quartets, providing evidence for group-level cooperation. In addition, a novel food-sharing device was used prosocially by dolphin pairs. Finally, the introduction of these cognitive enrichments leads to measurable short- and long-term welfare improvement. Thus, the use of these cognitive enrichments paired with systematic data collection bridged science with welfare. Future studies will investigate intersexual differences in independent groups, the emergence and function of cooperative interactions, and the socio-dynamics using cognitive enrichments.

A self-driven multifunctional microfluidic sweat analysis system for efficient sweat collection and real-time monitoring

Wearable sweat sensors offer the opportunity for non-invasive and real-time monitoring of metabolite information in sweat, enabling individuals to dynamically monitor their physiology states at the molecular level. However, sweat possesses characteristics such as small volume, volatility, susceptibility to epidermal contamination, and low analyte concentrations, making its reliable collection and detection challenge for wearable sweat sensors. In this work, we develop a self-driven multifunctional microfluidic sweat analysis system (SMMSAS) for efficient sweat collection and detection. The SMMSAS features with a wetting contrast for the sweat, which comprises superhydrophobic inlet, superhydrophilic microchannel enriched with nanofiber, and an absorbent test paper. Such a feature enables the spontaneous sweat transports in the form of dropwise due to the exertion of “Laplace force-capillary force-capillary force” on sweat, thereby facilitating the real-time sweat detection. SMMSAS integrated with the functions of impedance and colorimetry analysis is able to simultaneously record the multiple information in sweat, including sweat volume, sweating rate, total electrolyte concentration, glucose concentration, and pH value, all of which are important to reflect the physiological state of the human body. We also demonstrate the capability of SMMSAS in real-time monitoring the sweating conditions of the human body, which is attributed to its fast responsiveness (∼ 100 ms) for the wide range sweating rate (0.5−15 μL/min) and various total electrolyte concentration (0−80 mM), paving the way for next-generation personalized healthcare.

Leptospirosis in a mixed breed female dog (Canis familiaris)

The present study aimed to report a clinical case of leptospirosis diagnosed in a mixed breed dog where treatment was chosen without hospitalization. Leptospirosis is an infectious and contagious zoonotic disease caused by the spirochete of the genus Leptospira spp. All pathogenic lineages belong to a single species, Leptospira interrogans. This microorganism can affect both humans and animals, be they domestic, wild or production. Dogs and cats are susceptible, but felines have greater resistance to leptospirosis. Synanthropic rodents in large urban centers or rural areas constitute a major problem, as they end up transmitting it to domestic and stray animals. Animals become infected and end up eliminating spirochetes into the environment through contaminated urine, since leptospirosis has a predilection for the renal tubules. Transmission can be direct through contaminated urine, venereal secretions, placental transfer, bite wounds or ingestion of contaminated tissues. Leptospira can enter the body through intact oral, nasal or ocular mucous membranes, or through skin that is damaged or macerated by moisture. Indirect transmission occurs through contact with contaminated water, soil and food sources. In Brazil, where many locations lack a garbage collection system and sewage disposal is precarious, the tropical climate favors rain during summer, all increasing the role of rodents as vectors of this zoonosis due to flooding. The canine mentioned in this study did not have their vaccination protocol up to date, lived in a place with the presence of rodents, and was diagnosed positive for L. interrogans serovars Bratislava, Pomona and Copenhageni by the microscopic agglutination test (MAT), considered the gold standard. The changes in the blood count were limited to normocytic normochromic anemia and hyperproteinemia. No noteworthy changes were observed in the white blood cell count and, in the biochemical tests, liver and kidney changes consistent with the pathology were evident. The therapeutic protocol chosen was antibiotic therapy and supportive therapy, both carried out at the guardian's home, and the prognosis was favorable. Preventive vaccination measures according to the challenge faced in the environment, rodent control and also public policies regarding basic sanitation are important in preventing in zoonosis.

Optimization of municipal solid waste collection system: systematic review with bibliometric literature analysis

AbstractMunicipal solid waste management (MSWM) requires significant planning and objective definitions of each of its stages. Waste collection and transportation stages are of utmost importance, and they represent a significant cost of the process. In this context, a systematic study using bibliometric analysis was conducted, seeking to identify and understand the applied methodologies and tools, as well as which parameters and approaches are employed to optimize the solid urban waste collection system. The analysis portfolio features 12 publications, focusing on the optimization of municipal solid waste (MSW) collection systems, mostly with the aim of optimizing routes for transporting waste from the collection points to the final destination, with the goal of reducing the costs of this stage. Results highlight how these studies only consider as optimization criteria the reduction of the travelled distance and lack other dimensions (such as an environmental impact perspective). Some of the studies demonstrate the vital role of technology in optimizing the waste collection operation, from the use of geographic information systems (GIS) to using sensors or smart bins. Future research efforts should widen the scope of what is considered in optimizing the waste collection system.

Smart Waste Management System Using IoT

Waste collection and management are integrated parts of both city and village life. Lack of an optimized and efficient waste collection system vastly affects public health and costs more. The prevailing traditional waste collection system is neither optimized nor efficient. The Internet of Things (IoT) has been playing a great role in making human life easier by making systems smart, adequate, and self-sufficient. Thus, this paper proposes an IoT-based, efficient waste collection system with smart bins. India generates tons of waste annually. Conventional garbage collection is not efficient since the authorities are not notified until the waste bin is full, and this leads to an overflow of waste material. Efficient waste disposal and collection are essential for a sustainable and clean India. A smart waste management system uses an IoT-based waste bin for collection and monitoring the level of waste inside the bin. The system does real-time monitoring of the waste bins and determines which are to be emptied. The system is implemented using two ultrasonic sensors. One of the ultrasonic sensors detects the level of waste in the bin, and the other detects the person approaching the bin to dispose of the waste. This detection helps with the automatic opening and closing of the lid. A servo motor is connected to the lid, which serves the action of closing and opening the lid. In this system, the level of waste in the bin will be sent to the concerned authorities. Thus, it reduces fuel costs and human labor, making the system optimized and efficient by enabling real-time monitoring and enhanced navigation.

Simulated data for census-scale entity resolution research without privacy restrictions: a large-scale dataset generated by individual-based modeling

Background Entity resolution (ER) is the process of identifying and linking records that refer to the same real-world entity. ER is a fundamental challenge in data science, and a common barrier to ER research and development is that the data fields used for this fuzzy matching are personally identifiable information, such as name, address, and date of birth. The necessary restrictions on accessing and sharing these authentic data have slowed the work in developing, testing, and adopting new methods and software for ER. We recently released pseudopeople, a Python package that allows users to generate simulated datasets approaching the scale and complexity of the data on which large organizations and federal agencies, like the US Census Bureau regularly perform ER. With pseudopeople, researchers can develop new algorithms and software for ER of US population data without needing access to personal and confidential information. Methods We created the simulated population data available through pseudopeople using our Vivarium simulation platform. Our model simulates individuals and their families, households, and employment dynamics over time, which we observe through simulated censuses, surveys, and administrative data collection systems. Results Our simulation process produced over 900 gigabytes of simulated censuses, surveys, and administrative data for pseudopeople, representing hundreds of millions of simulants. A sample simulated population of thousands of simulants is now openly available to all users of the pseudopeople package, and large-scale simulated populations of millions and hundreds of millions of simulants are also available by online request through GitHub. These simulated population data are structured for use by the pseudopeople package, which includes additional affordances to add various kinds of noise to the data to provide realistic, sharable challenges for ER researchers.

High transmission efficiency collection system for laser-accelerated proton beams based on permanent magnet quadrupoles prefocusing

High transmission efficiency collection system for laser-accelerated proton beams based on permanent magnet quadrupoles prefocusing

A Multimodal Feature Fusion Brain Fatigue Recognition System Based on Bayes-gcForest.

Modern society increasingly recognizes brain fatigue as a critical factor affecting human health and productivity. This study introduces a novel, portable, cost-effective, and user-friendly system for real-time collection, monitoring, and analysis of physiological signals aimed at enhancing the precision and efficiency of brain fatigue recognition and broadening its application scope. Utilizing raw physiological data, this study constructed a compact dataset that incorporated EEG and ECG data from 20 subjects to index fatigue characteristics. By employing a Bayesian-optimized multi-granularity cascade forest (Bayes-gcForest) for fatigue state recognition, this study achieved recognition rates of 95.71% and 96.13% on the DROZY public dataset and constructed dataset, respectively. These results highlight the effectiveness of the multi-modal feature fusion model in brain fatigue recognition, providing a viable solution for cost-effective and efficient fatigue monitoring. Furthermore, this approach offers theoretical support for designing rest systems for researchers.

Bacteriophage therapy in musculoskeletal infections: from basic science to clinical application.

The treatment of musculoskeletal infections (MSIs), including periprosthetic joint infection (PJI) and fracture-related infection (FRI), is often complicated by biofilm-related challenges necessitating multiple revision surgeries and incurring substantial costs. The emergence of antimicrobial resistance (AMR) adds to the complexity of the problem, leading to increased morbidity and healthcare expenses. There is an urgent need for novel antibacterial strategies, with the World Health Organization endorsing non-traditional approaches like bacteriophage (phage) therapy. Phage therapy, involving the targeted application of lytic potent phages, shows promise in the treatment of MSIs. Although historical clinical trials and recent case studies present significant milestones in the evolution of phage therapy over the past century, challenges persist, including variability in study designs, administration protocols and phage selection. Efforts to enhance treatment efficacy consist of personalized phage therapy and combination with antibiotics. Future perspectives entail addressing regulatory barriers, standardizing treatment protocols, and conducting high-quality clinical trials to establish phage therapy's efficacy for the treatment of MSIs. Initiatives like the PHAGEFORCE study and the PHAGEinLYON Clinic programme aim to streamline phage therapy, facilitating personalized treatment approaches and systematic data collection to advance its clinical utility in these challenging infections.

The interplay of exercise and polyphenols in cancer treatment: A focus on oxidative stress and antioxidant mechanisms.

Exercise has been demonstrated to induce an elevated production of free radicals, leading to the onset of oxidative stress. Numerous studies highlight the positive impacts of aerobic exercise, primarily attributed to the increase in overall antioxidant capacity. The evidence suggests that engaging in aerobic exercise contributes to a reduction in the likelihood of advanced cancer and mortality. Oxidative stress occurs when there is an imbalance between the generation of free radicals and the collective antioxidant defense system, encompassing both enzymatic and nonenzymatic antioxidants. Typically, oxidative stress triggers the formation of reactive oxygen or nitrogen species, instigating or advancing various issues in cancers and other diseases. The pro-oxidant-antioxidant balance serves as a direct measure of this imbalance in oxidative stress. Polyphenols contain a variety of bioactive compounds, including flavonoids, flavanols, and phenolic acids, conferring antioxidant properties. Previous research highlights the potential of polyphenols as antioxidants, with documented effects on reducing cancer risk by influencing processes such as proliferation, angiogenesis, and metastasis. This is primarily attributed to their recognized antioxidant capabilities. Considering the extensive array of signaling pathways associated with exercise and polyphenols, this overview will specifically focus on oxidative stress, the antioxidant efficacy of polyphenols and exercise, and their intricate interplay in cancer treatment.

Application of Network Data Security Based on Wireless Sensor Technology in the Development of Digital Sharing Economy

Nowadays, when the existing algorithms are fused in the feature function network feature, they do not consider the different effects of different features on the saliency detection task. In order to solve this problem, this paper proposes a saliency feature fusion network based on multi-focus mechanism to complete the saliency detection task. While recognizing the important role of the network, it must also be realized that because most network users do not understand the details of network composition and network system analysis, the security of computer network data is relatively low. Unscrupulous hackers use their network technology and software to invade unauthorized networks and hosts without authorization. Therefore, network data security is very important. The competition and monopoly of the digital sharing economy platform has always been a hot topic of increasing attention from domestic and foreign economists. The platform economy is based on an efficient data collection and transmission system, a digital platform supported by continuously developing computing power and powerful data processing algorithms, which greatly promotes the development of social productivity. The core trend of the development of China's digital economy is the ecologicalization of the digital sharing economy. Small industrial platforms rely on massive user resources collected by a large platform to quickly connect the upper and lower channels of the industry to transform and form a new industry ecosystem.