Current Field Research Articles

AAAAI Position Statement on Changing Electronic Health Record Allergy Documentation to "Alerts" to Lead to Easily Understood, Actionable Labels.

The term "allergy" is inaccurate for the vast majority of the contents in the current allergy fields of electronic health records (EHRs). While EHRs have transformed access to health information and streamlined the delivery of care, their ability to reliably indicate medications, vaccines, or foods that mandate avoidance versus preferences or mild intolerances, is suboptimal. The current systems are reactive instead of being proactive and frequently fail to communicate the appropriate course of action. This Position Statement of the American Academy of Allergy, Asthma and Immunology (AAAAI) advocates for a change in terminology. The section of the EHR currently labeled "allergies" should be renamed "alerts." The term "alert" accurately captures the purpose of this section without incorrectly assigning an allergic mechanism, and prioritizes easily understood and actionable labels. This change has the potential to simultaneously improve patient safety and care. This shift will be the first step in the transformation of the alerts section of the EHR. This document provides a framework for categorizing what should be included in this section. Enacting these changes will require EHR and clinical decision support vendors, healthcare and data standard regulators, allergists, and the larger health care community to work together to bring about these important advances.

놀이기록 다시보기를 통한 유아교사의 유아놀이 변화 탐색

Objectives The research objectives of this study is to find out the reflection that the researcher as kindergarten early- child care teacher has, in the course of reviewing the individual play records, and changes in the viewpoints of teachers in early-child care on kid plays. Methods In order to achieve this goal, self-study among qualitative research methods is conducted in that one can re-see and reflect on one's beliefs, values, and play records through self-reflection. To achieve such ob-jectives, the researcher collected and analyzed the play records that were prepared through author's own ob-servation in class, the author's self-reflection journal, and any other materials. Results This research has classified changes in the viewpoints of teachers in early-child care on kid plays into six sub-factors, say, understanding kids from a new perspective, expanding and supporting kid plays, participating in plays from a spectator to a player, reestablishing the educational belief system of teachers in early-child care as a supporter, connecting the curriculum in plays, and learning outside. For the final factors as to it, this study has classified into three top factors, namely, understanding plays from the perspective of kids, reestablishing the edu-cational belief system teachers in early-child care, and the operation of play-centered curriculum. Conclusions By reviewing the play records, it was found that changes in the viewpoints of teachers in early-child care on kid plays brought about the significant change in actual kid plays. Given the research results, the play records that are being prepared in the current educational field would be instrumental. It is anticipated that this would con-tribute to implementing the kid play-centered curriculum which requires reinforcing plays, with the focus on kids.

Metal Nanoparticles for Simultaneous Use in AC Magnetic Field Hyperthermia and Magnetic Resonance Imaging.

Magnetic nanoparticles (MNPs) are produced for both diagnosis and treatment due to their simultaneous availability in magnetic resonance imaging (MRI) and magnetic hyperthermia (MHT). Extensive investigations focus on developing MNPs for individual MHT or MRI applications, but the development of MNPs for theragnostic applications has received very little attention. In this study, through efficient examination of synthesis conditions such as metal precursors, reaction parameters, and solvent choices, we aimed to optimize MNP production for effective utilization for MHT and MRI simultaneously. MNPs were synthesized by thermal decomposition under 17 different conditions and deeply characterized by transmission electron microscopy (TEM), x-ray diffraction (XRD), and x-ray photoelectron spectroscopy (XPS). The heating efficiency of MNPs under an alternating current (AC) magnetic field was quantified, while MRI performance was evaluated through agar phantom experiments. Our findings highlight the crucial role of benzyl ether in metal ion reduction and size control. Metal-doped iron oxide MNPs displayed promise for MHT, whereas Mn-doped iron oxide MNPs exhibited enhanced MRI capabilities. Consequently, five engineered MNPs were considered potential candidates for further studies, demonstrating their dual ability in MRI and MHT.

Key feature identification of internal kink mode using machine learning

The internal kink mode is one of the crucial factors affecting the stability of magnetically confined fusion devices. This paper explores the key features influencing the growth rate of internal kink modes using machine learning techniques such as Random Forest, Extreme Gradient Boosting (XGboost), Permutation, and SHapley Additive exPlanations (SHAP). We conduct an in-depth analysis of the significant physical mechanisms by which these key features impact the growth rate of internal kink modes. Numerical simulation data were used to train high-precision machine learning models, namely Random Forest and XGBoost, which achieved coefficients of determination values of 95.07% and 94.57%, respectively, demonstrating their capability to accurately predict the growth rate of internal kink modes. Based on these models, key feature analysis was systematically performed with Permutation and SHAP methods. The results indicate that resistance, pressure at the magnetic axis, viscosity, and plasma rotation are the primary features influencing the growth rate of internal kink modes. Specifically, resistance affects the evolution of internal kink modes by altering current distribution and magnetic field structure; pressure at the magnetic axis impacts the driving force of internal kink modes through the pressure gradient directly related to plasma stability; viscosity modifies the dynamic behavior of internal kink modes by regulating plasma flow; and plasma rotation introduces additional shear forces, affecting the stability and growth rate of internal kink modes. This paper describes the mechanisms by which these four key features influence the growth rate of internal kink modes, providing essential theoretical insights into the behavior of internal kink modes in magnetically confined fusion devices.

The Impact of the Development of Social Media on Education

Due to the arrival of the Internet era and the rise of social media, there has always been controversy about the impact of social media on the education field. The purpose of this research is to analyze the advantages and disadvantages that social media brings to the current and future education fields. It will focus on students and educators, two major groups in the field of education, discussing their impact on themselves when using social media now and the potential impact they may get in the future. This paper concludes that the development of social media has a positive impact on the education industry and will continue to assist the education sector in future development. It will demonstrate to the public the benefits and rationality of using social media in education, both now and in the future.

Wave–Tide–Surge Interaction Modulates Storm Waves in the Bohai Sea

Typhoons, extratropical cyclones, and cold fronts cause strong winds leading to storm surges and waves in the Bohai Sea. A wave–flow coupled numerical model is established for storm events observed in 2022 caused by three weather systems, to investigate how storm waves are modulated by wave–tide–surge interaction (WTSI). Wave response is basically controlled by water level change in coastal areas, where bottom friction or breaking dominates the energy dissipation, and determined by the current field in deep water by altering whitecapping. Wave height increases/decreases are induced by positive/negative water level or obtuse/acute wave–current interaction angle, leading to six types of field patterns for significant wave height (Hs) responses. For the three storm events, Hs basically changed within ±5% in central deep water, while the maximum increase/decrease reached 160%/−60% in the coastal area of Laizhou Bay/Liaodong Bay. Based on maximum Hs and its occurrence time, WTSI modulation is manifested as the superposition effect of wave–tide and wave–surge interactions in both space and time scales, and occurrence time depends more on tide than surge for all three storms. The enhancement/abatement of WTSI modulation happens for consistent/opposite changing trends of wave–tide and wave–surge interaction, with the ultimate result showing the side with a higher effect.

Challenges of People With Disabilities With the Medical Commission of the State Welfare Organization

Background and Objectives: The international classification of functioning-disability and health (ICF) has been used by the State Welfare Organization in the medical commission in recent years. The present study was conducted with the aim of understanding the challenges of people with disabilities with the medical commission of the State Welfare Organization. Methods: The research method was qualitative and content analysis type. The method of data collection was done through in-depth and semi-structured interviews while respecting ethical considerations. The current research field of Tehran City and the medical commissions of the welfare organization departments in Tehran City and the samples were people with disabilities referring to this commission or their companions. To select a pooled sample, snowball sampling and theoretical targeted sampling were used. Data analysis was done using the method of qualitative content analysis with conventional approach. In order to ensure the reliability of the research, the four pillars of reliability, validity, transferability and verifiability were used. Results: In this research, 86 codes were finally extracted, which formed the theme of “challenges of people with disabilities” in two sub-topics: “Executive problems of clients with medical commission” and “communication problems of clients with members of medical commission". Conclusion: The findings of the research showed that those referring to the medical commissions of the welfare organization face problems related to the implementation of classification of function, disability and health, which need to be addressed by the authorities.

A survey on person and vehicle re‐identification

AbstractPerson/vehicle re‐identification aims to use technologies such as cross‐camera retrieval to associate the same person (same vehicle) in the surveillance videos at different locations, different times, and images captured by different cameras so as to achieve cross‐surveillance image matching, person retrieval and trajectory tracking. It plays an extremely important role in the fields of intelligent security, criminal investigation etc. In recent years, the rapid development of deep learning technology has significantly propelled the advancement of re‐identification (Re‐ID) technology. An increasing number of technical methods have emerged, aiming to enhance Re‐ID performance. This paper summarises four popular research areas in the current field of re‐identification, focusing on the current research hotspots. These areas include the multi‐task learning domain, the generalisation learning domain, the cross‐modality domain, and the optimisation learning domain. Specifically, the paper analyses various challenges faced within these domains and elaborates on different deep learning frameworks and networks that address these challenges. A comparative analysis of re‐identification tasks from various classification perspectives is provided, introducing mainstream research directions and current achievements. Finally, insights into future development trends are presented.

Research on AUV Multi-Node Networking Communication Based on Underwater Electric Field CSMA/CA Channel

To address the issues of high attenuation, weak reception signal, and channel blockage in the current electric field communication of underwater robots, research on autonomous underwater vehicle (AUV) multi-node networking communication based on underwater electric field Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) channel was conducted. This article, first through simulation, finds that the Optimized Link State Routing (OLSR) protocol has a smaller routing packet delay time and higher reliability compared to the Ad Hoc On-Demand Distance Vector (AODV) protocol on underwater electric field CSMA/CA channels. Then, a 2FSK underwater electric field communication system was established, and dynamic communication experiments were carried out between two AUV nodes. The experimental results showed that within a range of 0 to 3.5 m, this system can achieve underwater dynamic electric field communication with a bit error rate of 0 to 0.628%. Finally, to avoid channel blockage during underwater AUV multi-node communication, this article proposes a dynamic backoff method for AUV multi-node communication based on CSMA/CA. This system can achieve dynamic multi-node communication of underwater electric fields with an error rate ranging from 0 to 0.96%. The research results have engineering application prospects for underwater cluster operations.

Intraoperative rapid immunohistochemistry of microsatellite instability using non-contact alternating current electric field mixing.

Tumors caused by failure of the DNA-mismatch repair system generally show microsatellite instability (MSI). High-frequency MSI cancers have been shown to be susceptible to immuno-oncology therapies. The aim of this study was to evaluate the clinical reliability of a rapid immunohistochemistry (IHC) technique for intraoperatively assessing molecular status through detection of tumoral deficiencies in the expression of mismatch repair proteins (dMMR; MLH1, MSH2, MSH6, and PMS2). The rapid IHC method uses non-contact alternating current (AC) mixing to achieve more rapid/stable staining within a minimum of 13min during surgery. Sixteen formalin-fixed paraffin-embedded (FFPE) tumor samples from 3 dMMR patients with Lynch syndrome and 6 FFPE samples from 6 dMMR-cancer patients were collected to establish an IHC protocol for MMR proteins. Next, 26 surgical patients treated and whose MSI status was determined using PCR-based tests were retrospectively analyzed. The concordance of dMMR diagnoses for thoracic tumors between the conventional (frozen section (FS)- and FFPE-IHCs) and rapid AC-mixing IHC with FSs were compared. A rapid IHC protocol using primary antibodies against four MMR proteins (mixed 5-10min) was established (entire process within 40min). The concordance rate for MMR-IHC between the conventional and rapid IHC was 100%. dMMR diagnoses including an MSI-high pulmonary sarcoma patient entirely matched between FS- and FFPE-IHC. Rapid MMR-IHC could potentially serve as a clinical tool for intraoperative determination of tumor MSI/dMMR status. AC-mixing technology will contribute to improving pathological diagnostic capability through the development of an original and innovative rapid IHC.

A Combination of Camera and Pitfall Traps: A Method for Monitoring Ground-Dwelling Invertebrates in Farmlands

Ground-dwelling invertebrates are crucial for maintaining biodiversity, soil health, and food production in agricultural ecosystems; however, their diversity is declining globally. Despite advancements in data science and modern monitoring technology, conventional methods remain predominant in the current field investigations of ground-dwelling invertebrates in farmlands. This study aimed to develop simple, convenient, and automated methods to assess ground-dwelling invertebrate biodiversity in farmlands. Both camera and pitfall traps were used to monitor ground-dwelling invertebrates in two farmlands in Ningbo City, China. Over four experimental periods, lasting 34 days in the vineyard farmland and 32 days in the watermelon farmland, the camera traps detected a relatively high density of invertebrates, although the relative dominance of ant density was overestimated in both farmlands. Both methods revealed similar temporal dynamics of the ground-dwelling invertebrates during the four periods in the vineyard farmland. However, only camera traps recorded the temporal dynamics of the invertebrates at daily, hourly, and minute resolutions in both farmlands. Conclusively, this study demonstrates that combining camera and pitfall traps provides an effective method for monitoring the temporal dynamics of ground-dwelling invertebrates in farmlands, offering high-quality data useful for ecological research and biodiversity protection in agricultural management.

Cellular Vehicle-to-Everything Automated Large-Scale Testing: A Software Architecture for Combined Scenarios

As the commercialisation of Intelligent Connected Vehicles (ICVs) accelerates, Vehicle-to-Everything (V2X)-based general testing and assessment systems have emerged at the forefront of the research. Current field testing schemes mostly follow the norms of traditional vehicle tests. In contrast, Original Equipment Manufacturers (OEMs) have increasingly focused on the potential influence of V2X communication performance on the application response characteristics. Our previous work resulted in a C-V2X (Cellular-V2X) large-scale testing system (LSTS) for communication performance testing. However, when addressing the need to combine application and communication, the system software faces confronts heightened technical challenges. This paper proposes a layered software architecture for the automated C-V2X LSTS, which is tailored to combined scenarios. This architecture integrates scenario encapsulation technology with a large-scale node array deployment strategy, enabling communication and application testing under diversified scenarios. The experimental results demonstrate the scalability of the system, and a case study of Forward Collision Warning (FCW) validates the effectiveness and reliability of the system.

Correction of dynamic magnetic field errors at the rapid cycling synchrotron of China Spallation Neutron Source

At a Rapid Cycling Synchrotron (RCS), dynamic magnetic field errors, such as magnetic field tracking errors and dynamic fringe field effects, can cause time-dependent tune shift during beam acceleration. If the tune shift is significant enough to pass through resonance lines, it can lead to emittance growth and beam losses. Correcting time-dependent tune shift during acceleration is crucial for a RCS. Modulating the exciting current and magnetic field of quadrupole magnets at a RCS, which are powered by resonant circuits, is challenging during the ramping process. Correcting time-dependent tune shift at a RCS poses a significant technical challenge. We have proposed a method for correcting time-dependent tune shift at the rapid cycling synchrotron of China Spallation Neutron Source (CSNS), based on waveform compensation at the quadrupole magnets. This approach involves modulating the magnetic field variation process by injecting time harmonic exciting current into the quadrupole magnets. This method has been validated during the CSNS beam commissioning and has been applied at the RCS of CSNS to correct various dynamic magnetic field errors.

Players’ continuous willingness to play in MOBA game ranking mode: through the lens of self-determination theory and social comparison theory

Multiplayer Online Battle Arena (MOBA) games are a popular genre in the current gaming field, and the highly competitive ranking mode is one of the core parts of the gameplay, and the study of the factors affecting players’ continuous willingness to play is a necessary issue to ensure the sustainable profitability of these games. This study has developed a conceptual model delineating the continuous willingness of players within the MOBA game ranking mode, employing the frameworks of self-determination theory (SDT) and social comparison theory (SCT). In this study, 396 valid data samples were collected using questionnaire method. The results show that, social comparison enhances players’ continuous willingness and avatar identification, and indirectly enhances their continuous willingness through mediation by avatar identification, while game frustration has a significant positive moderating effect in both paths. This study contributes to both theoretical explorations and practical approaches to MOBA game ranking mode.

Design and implementation of anti-mapping security access technology based on illegal scanning

Abstract In the current field of information security, illegal network scanning activities are prevalent, and such behaviors are usually aimed at detecting security vulnerabilities in network systems and preparing for future attack activities. This study proposes a secure access system based on anti-mapping technology, which aims to effectively block illegal scanning behaviors while ensuring that the normal access of legitimate users is not affected. The system integrates advanced behavioral analysis algorithms that utilize machine learning techniques for deep learning and pattern recognition of network traffic, and is able to accurately distinguish between normal user activities and malicious scanning attempts. At the core of the system is a set of dynamic adaptive identification mechanisms that update the detection algorithms in real time to adapt to emerging scanning techniques and attack strategies by continuously learning from changes in network traffic. In addition, the system employs role-based access control (RBAC) policies to enhance the protection of sensitive resources. The Secure Access Gateway is deployed at the boundary of the network to monitor and filter all ingress traffic, effectively intercepting unauthorized scanning activities by comprehensively evaluating the source, behavior and frequency of traffic. Experimental results show that the proposed two-layer network structure performs well in detecting common threats such as port scanning, DDoS attacks, and SQL injections, with an accuracy rate of over 95%. Especially for complex and covert APT (advanced persistent threat) attacks, the system can significantly reduce the false alarm rate and effectively improve the detection speed. However, when dealing with some highly customized malware, the system's recognition ability still needs to be improved, which indicates that future research needs to focus more on enhancing the ability to learn and adapt to unknown threats.

Enhanced electro-optic modulation stability in KTa1−xNbxO3 crystal by direct current electric field

Enhanced electro-optic modulation stability in KTa1−xNbxO3 crystal by direct current electric field

Efficacy of Pre and Post Emergence Herbicides against Complex Weed Flora, Yield and Economics of Blackgram under High Hills Wet Temperate Zone of Himachal Pradesh

Background: Implementing integrated strategies for weed management is essential in maximizing blackgram yield. Unchecked weed proliferation leads to substantial decrease in crop productivity. Methods: The current field experiment was conducted at Salooni, Himachal Pradesh, to evaluate the efficacy of different integrated weed management practices during Kharif 2022 and 2023. Eleven treatments targeting weed control were evaluated both at pre and post - emergence stages. Result: The predominant weeds were Echinochloa colona, Galinsoga parviflora, Cyperus species and other broad leaf weeds were Plantago lanceolata, Trifolium repens, Trianthema species, Ageratum conyzoides. Data on weed dynamics revealed that; after weed-free treatment, the application of Imazethapyr 75 g/ha as PE fb HW at 30 DAS; Pendimethalin 1.0 kg/ha as PE fb HW at 30 DAS and Pendimethalin 1.0 kg/ha + imazethapyr 75 g/ha (PE) recorded a significantly lower total weed count as compared to other treatments. Parameters related to blackgram growth and yield, including plant height, number of branches per plant, pods per plant, grain yield and haulm yield were significantly higher with weed-free treatment followed by application of imazethapyr 75 g/ha as PE fb HW at 30 DAS, remaining at par with application of pendimethalin 1.0 kg/ha + imazethapyr 75 g/ha (PE) and pendimethalin 1.0 kg/ha as PE fb HW at 30 DAS. The most economically efficient weed control method was the combination of pendimethalin 1.0 kg/ha + imazethapyr 75 g/ha (PE), as it resulted in the highest net returns and marginal benefit-cost ratio.

Seasonal variation of coastal currents and residual currents in the CAT BA – HA long coastal area (VIET NAM): Results of coherens model

The COHERENS model is used to investigate the temporal and spatial variation of the coastal currents in 2021 at the Cat Ba - Ha Long, northern Vietnam. The findings indicate that tidal oscillation has a notable impact on the current fields in short-term variations (hours to days). Meanwhile, the wind field and river discharge are the decisive factors affecting the seasonal variation of the current fields in Cat Ba - Ha Long coastal area. Furthermore, the characteristics of residual currents are significantly affected by river discharges and wind patterns, which vary across different months and seasons. During the southwest monsoon season (May to August), the residual currents have a prevailing direction towards the sea, from the west and south-southwest towards the east and north-northeast, reaching maximum speeds of approximately 0.1–0.15 m/s. Conversely, in the transitional and northeast monsoon seasons, the directions of residual currents are from the east-northeast to the west-southwest, with peak speed up to 0.2–0.25 m/s. Notably, the residual currents in the bottom and surface layers in the eastern-southwestern area of Cat Ba Island and the north of Ha Long Bay are in opposite directions.

Combination of magnetic hyperthermia and gene therapy for breast cancer.

This study presented a novel breast cancer therapy model that uses magnetic field-controlled heating to trigger gene expression in cancer cells. We created silica- and amine-modified superparamagnetic nanoparticles (MSNP-NH2) to carry genes and release heat under an alternating current (AC) magnetic field. The heat-inducible expression plasmid(pHSP-Azu) was designed to encode anti-cancer azurin and was delivered by magnetofection. MCF-7 cells demonstrated over 93% cell viability and 12% transfection efficiency when exposed to 75µg/ml of MSNP-NH2, 3µg of DNA, and PEI at a 0.75 PEI/DNA ratio (w: w), unlike non-tumorigenic cells (MCF-10A). Magnetic hyperthermia (MHT) increased azurin expression by heat induction, leading to cell death in dual ways. The combination of MHT and heat-regulated azurin expression induced cell death, specifically in cancer cells, while having negligible effects on MCF-10A cells. The proposed strategy clearly shows that simultaneous use of MHT and MHT-induced azurin gene expression may selectively target and kill cancer cells, offering a promising direction for cancer therapy.

Electro-phytoremediation of polluted soil at pilot level using maize

This article presents the imposition of a direct current electric field in the presence of seeds and plants of Zea mays L., to rehabilitate soils contaminated with hydrocarbons at a pilot level, and its influence on some physical and chemical properties of the soil, such as pH, electrical conductivity, organic matter content in the soil, enzymatic activity, bulk density, apparent density, porosity, cation exchange capacity, and soluble cations such as potassium, sodium, and calcium. For this reason, the edaphological characterization was carried out before and after an electro-phytoremediation process of soils contaminated with hydrocarbons, using an IrO2-Ta2O5|Ti anode and a titanium cathode, applying a constant electric field of 0.2 V/cm for 4 h to maize seeds and stimulating their germination. After one week, an electric field of 0.1 V/cm for 8 h was applied to the maize seeds every day for 42 days to stimulate the growth of maize plants. This study demonstrated the removal of hydrocarbons by electro-phytoremediation. The applied electric field increases seed germination and plant growth of Zea mays L. These results were obtained with the different transport phenomena that develop when using the electric field in the soil Vertisol pelic understudy at a pilot level.