bluuebunny/crossref_metadata_2025 huggingface dataset:
An Analysis of the Blockchain Based E-Healthcare Systems using a Bibliometric Study
Authors: Malla Jyotsna , Singathala Harshith , V Madhu Viswanatham
Published: September 2023

Network and Communication industry has seen a huge advancement in the technology aspect and also the way they function. It was due to the rapid increase in the use and development of the Internet and the essential role it is playing in our everyday life. The change in these technologies has led to provide many different type of services such as gaming, online orders, e-shopping, etc.. and mainly e-healthcare. E-healthcare is to provide the services related to the health with the usage of modern technologies like the Internet, advancement in mobile devices, personal computers and all our surrounding technology. It mainly works with the patients medical records and details with which we can know the whole insights of the patient problems. In traditional method all the information is written manually and kept safely. But may be due to the lack of good documentation, non-track ability from remote locations, communicating his health records to other location hospitals, losing of records if they are too old, and many more problems started arising for which a solution has to be made. So, e-health care is the one-stop solution for it and all health care is moving towards it with making their full information digitization. It offers a lot more advantages than traditional ways of storing and processing the information. Trust and security are the major concerns which needs to be addressed. This article demonstrated an in-depth analysis of blockchain being a promising technology for creating a e-healthcare ecosystem. Blockchain is one among the technologies that are becoming significant attention within the healthcare industry. Any blockchain in healthcare use case shows the rationale behind the increase of this technology within the sector. But for blockchain to reach its full potential, it’s essential that governments and public institutions map the blockchain ecosystem, and establish a blockchain framework for coordinating early adopters.
Exploring the Quantum-to-Classical Vortex Flow: Quantum Field Theory Dynamics in Rotating Curved Spacetimes
Authors: Weinfurtner Silke , Švansčara Patrik , Smaniotto Pietro , Solidoro Leonardo , MacDonald James , Patrick Sam , Gregory Ruth , Barenghi Carlo
Published: September 2023

Gravity simulators [1] are laboratory systems where small excitations like sound [2] or surface waves [3] behave as fields propagating on a curved spacetime geometry. The analogy between gravity and fluids requires vanishing viscosity [2, 3], a feature naturally realised in superfluids like liquid helium or cold atomic clouds [4-6]. Such systems have been successful in verifying key predictions of quantum field theory in curved spacetime [6-9]. In particular, quantum simulations of rotating curved spacetimes indicative of astrophysical black holes require the realisation of an extensive vortex flow [10] in superfluid systems. Despite the inherent instability of multiply quantised vortices [11, 12], here we demonstrate that a stationary giant quantum vortex can be stabilised in superfluid 4He. Its compact core carries thousands of circulation quanta, prevailing over current limitations in other physical systems such as magnons [4], cold gases [5, 6] and polaritons [13, 14]. We introduce a minimally invasive way to characterise the vortex flow [15, 16] by exploiting the interaction of micrometre-scale waves on the superfluid interface with the background velocity field. Intricate wave- vortex interactions, including the detection of bound states and distinctive analogue black hole ringdown signatures, have been observed. These results open new avenues to explore quantum-to-classical vortex transitions and utilise superfluid helium as a finite temperature quantum field theory simulator for rotating curved spacetimes [17].
Evaluation of the effect of implant scan body materials, alignment, exposed heights, and inter-scan body distances on the accuracy of digital implant impressions
Authors: Badr Mohamed Osama , Sabahy Maryam Hamed , Metwally Nayrouz Adel , Khamis Mohamed Moataz
Published: September 2023

Background.
An accurate digital impression of the scan body is essential to replicate the actual implant position in the software program. However, studies analyzing the scanning accuracy using different scan body materials, angulations, exposures, and inter-scan body distances are scarce. The purpose of this in vitro study was to determine the effect of scan body materials, alignment, exposed heights, and inter-scan body distances on the accuracy of digital impressions.
Methods.
Two edentulous maxillary epoxy models were used in this study. The first model had 4 dummy implants (Dentium Superline; Dentium Co, Ltd). Two scan body materials, namely PEEK and titanium were tested together with the variable inter-scan body distances. The second model had 6 dummy implants; 3 with different angulations and 3 placed at different levels from the gingival margin. PEEK scan bodies were attached to all implants that were scanned by using a laboratory scanner. All standard tessellation language (STL) files were imported into a surface matching software program (GOM Inspect; GOM). Linear and angular deviation measurements were made. The Shapiro-Wilk test of normality was used. Comparison between the study was done using the appropriate test.
Results.
The linear and angular deviation values (µm) of the titanium group were higher than the PEEK group. Both linear and angular deviation values(µm) were significantly higher in the long inter-scan body distance group than the short one (P = .002). Regarding the effect of the angulation, the highest deviation values (µm) were recorded at the 30-degree angulation with no statistically significant difference between the 3 groups (P = .41). Regarding scan body exposed heights, the linear and angular deviation values (µm) were significantly increased (P < .001) as the supragingival exposed height of the scan body was reduced.
Conclusions.
PEEK scan body material, with a short inter-scan body distance and more exposed part of the scan body can enhance the accuracy of the digital impression. Scan body angulation did not significantly affect the accuracy of the digital impression although more deviation was reported with 30-degree angulation.
Conditional survival and annual hazard of death in elderly patients with esophageal cancer receiving definitive chemoradiotherapy
Authors: Chang Xiao , Dong Xin , Zhao Yuting , Deng Wei , Yang Dan , Jiang Leilei , Long Liuhua , Teng Yue , Shi Anhui , Yu Huiming , Yu Rong , Wang Weihu
Published: September 2023

Background:Definitive chemoradiotherapy is one of the primary treatment modalities for elderly patients with esophageal cancer (EC). It remains inadequately studied how prognosis evolves over time and how non-EC deaths affect overall survival (OS). We examined the conditional survival and annual hazard of death in elderly patients with EC after chemoradiotherapy.­Methods:The data of patients with EC aged 65 or older registered in the Surveillance, Epidemiology, and End Results database during 2000–2019 were collected. Conditional survival was defined as the probability of survival given a specific time survived. Annual hazard of death was defined the yearly event rate.Results:Among 3739 patients, the 3-year conditional OS increased by 7%-10% annually. Non-EC causes accounted for 18.8% of deaths, with cardio-cerebrovascular diseases as the leading cause. Death hazard decreased from 40% to 10% in the first 6 years and then increased to 20% in the tenth year. The hazard of death from non-EC causes exceeded that from EC causes, starting 5 years after treatment. Older patients and those in early stages had higher risks of death from non-EC causes (HR = 1.36, 95% CI: 1.15-1.62, P < 0.001 and HR = 0.82, 95% CI: 0.68-0.98, P = 0.035, respectively). Tumor histology had no significant impact on non-EC death risk (HR = 1.17, 95% CI: 0.98-1.39, P = 0.081).Conclusions:For elderly patients with ECtreated with chemoradiotherapy, survival probability increases with time. Stress on the management of comorbidities can extend the survival of older patients and those with early-stage disease.
Non-Simple Concentrations for Nonlinear Magnetic Schrodinger Equations with Constant Electric Potentials
Authors: Wang Liping , Zhao Chunyi
Published: September 2023

The paper investigates the influence of magnetic fields on the non-simple concentration phenomenon in the complex-valued nonlinear Schr¨odinger equations with a constant electric potential (iε∇ + A)2u + u − |u|p−1u = 0. We demonstrate that a multi-peak solution always exists at a non-degenerate local maximum or minimum point of the Frobenius norm ∥B∥F, where B is the magnetic field corresponding to the magnetic potential A. It is surprising that at such a minimum point, we can find a two-peak solution, which is distinct from the real-valued case. This is unexpected given that the non-existence of a multi-peak solution at a non-degenerate local minimum point of the electric potential has been proven in [25].
2020 MSC 35J10, 35A01, 35B25
High-Performance Hydrogen Gas Sensor System Based on Transparent Coaxial Cylinder Capacitive Electrodes and a Volumetric Analysis Technique
Authors: Jung Jae K. , Lee Ji H.
Published: September 2023

A high-performance H2 gas sensor system based on capacitive electrodes and a volumetric analysis technique were developed. Coaxial capacitive electrodes were fabricated by placing a thin copper rod in the center and by adhering a transparent conductive film on the exterior surface of a graduated cylinder. Thus, H2 from a polymer specimen lowered the water level in the cylinder between the two electrodes, producing measurable changes in capacitance that allowed for the measurement of the H2 concentration emitted from the specimen enriched by H2 under high-pressure conditions. The sensing system detected diffused/permeated hydrogen gas from a specimen and hydrogen gas leaks caused by imperfect sealing. The hydrogen gas sensor responded almost instantly at 1 s and measured hydrogen concentrations ranging from 0.15ppm to 1500 ppm with controllable sensitivity and a measurable range. In addition, performance tests with polymer specimens used in hydrogen infrastructure verified that the sensor system was reliable; additionally, it had a broad measurement range to four decimal places. The sensor system developed in this study could be applied to detect and characterize pure gases (He, N2, O2 and Ar) by real time measurement.
Dragon Fly Algorithm based Approach for escalating the security among the nodes in Wireless Sensor Network based System
Authors: Sharma Shweta , Kaur Amandeep , Gupta Deepali , Juneja Sapna , Saini Shilpa , Kumar Mukesh
Published: September 2023

For specific intercommunication applications, latest advancements in technology and manufacturing have made it feasible to create substantial, significant, energy-efficient and cost-effective sensor nodes having the features like adaptability, self fulfillness, and self evolvability. In sensor networks for sustainable development, it is looked at how sensor network technologies increase social development and living quality while having little to no detrimental effects on the environment or the planet's natural resources. A wide range of applications, including the military, healthcare, traffic monitoring, and remote image sensing, benefit from the use of wireless sensor networks (WSNs). Due to the limits of sensor networks, different levels of security are required for these crucial applications, making it challenging to employ traditional algorithms. Security has arisen as one of the main problems with IoT and smart city applications, and sensor networks are also considered of as the backbone of IoTs and smart cities. Complex issues like energy consumption are covered by the WSN, making it a useful tool for selecting clusters. By injecting false and harmful data into the network and launching internal attacks, hostile nodes might quickly jeopardize its integrity. Rogue nodes will be identified using trust-based security to offer a powerful and mobile defense. Trust evaluation models are a key technique for enhancing security in Wireless Sensor Networks by enhancing dependability (cooperation) among sensor nodes. This study recommends the cutting-edge trust algorithm DFA U-Trust to address the security requirements of WSNs.
A method of reducing the cogging torque in a flux-torque regulation hybrid excitation machine with axial-radial magnetic circuit
Authors: Qiu Hongbo , Duan Shuaishuai , Yang Cunxiang
Published: September 2023

In order to solve the problem of insufficient torque for flux weakening in permanent magnet machines, a novel flux-torque regulation hybrid excitation machine with axial-radial magnetic circuit (FTRHEM) is proposed. To solve the problem that the cogging torque of the proposed machine is caused by multiple factors and the coupling relationship is complicated, an analytical expression for the cogging torque is derived first. Then, the influence of the axial excitation device on the cogging torque is determined. The influence mechanism of the relative positions between the axial excitation device and stator on the cogging torque is revealed. A dislocation method is proposed to reduce the cogging torque, and its effectiveness is verified by the finite element analysis (FEA). Furthermore, the reduction of the cogging torque in FTRHEM with different pole-slot combinations by this method is comprised and analyzed, which demonstrates the feasibility of the method. Finally, the FEA results are combined with experiments to verify the accuracy of simulations.
Oxidation of polystyrene nanoparticles using ozonation under catalytic and non-catalytic conditions
Authors: P Aiswriya V. , Ajayaghosh Akhilghosh Kochuparambil , Farissi Salman , Muthuchamy Muthukumar , Muthukumar Anbazhagi
Published: September 2023

Plastic pollution surfaced as a major issue across the globe affecting all compartments of the environment alike. The viciousness of plastics further elevates as they breaks down to form micro and nano sized particles which can easily enter into the body of organisms through water, air and food. These particles persist in the water stream even after conventional waste water and drinking water treatment processes and can easily get accumulate in living organisms including humans. Advanced oxidation processes (AOPs) emerged as an effective strategy for the disintegration leading to even complete mineralisation of many persistant pollutants present in the environment. Various AOP methods like photo-degradation, ozonation, electro-fenton and anodic oxidation are studied for their applicability in degrading synthetic polymer particles also. The present study evaluates the oxidative removal of polystyrene nanoparticles by ozone based oxidation in aqueous medium. Catalytic ozonation was also carried out using TiO2 and V2O5 as catalysts. Particles of 200-400nm size were synthesised by nanoprecipitation technique, suspended in aquadest of variable pH conditions (5, 7 and 9) and subjected to ozonation for 60 minutes. DLS analysis revealed about 75% size reduction of particles upon ozonation. The reduction of organic carbon content in the samples after treatment was evaluated through TOC analysis and highest TOC removal rate of 97.78% was obtained with TiO2 as catalyst at pH 7. TiO2 was an effective catalyst under all pH conditions while catalytic activity of V2O5 found to be increasing with the increase in pH. The results relieved the possibility of using ozonation as a method of nanoplastic remediation from water.
Tai-Chi Hydrogel with Chinese Philosophy and Photothermal Properties for Accelerated Diabetic Wound Healing
Authors: Zheng Ruizhu , Liu Li , Wang Hao , He Pengyu , Qi Fuyu , Hu Sanming , Long Xiao , Shi Zhijun , Yang Guang
Published: September 2023

Bacterial cellulose (BC) and photothermal hydrogels are widely used currently in wound repair. However, modified and functionalized BC maybe damage the advantages of natural BC that limits its application as a wound dressing, and photothermal hydrogels have problem of secondary damage about overheating during photothermal therapy process. Therefore, we develop a Tai-Chi hydrogel inspired by the Chinese philosophy of “Tai Chi”, which is consist of BC, namely Yin, and polyvinyl alchol/polydopamine (PVA/PDA), namely Yang. Two hydrogels of Tai-Chi hydrogel have opposite properties to selectively cover on healthy skin and the wound, to adjust/balance the wound temperature under NIR irradiation. In vitro experiments demonstrate that mild warm caused by Yang hydrogel under NIR irradiation promote polarization of RAW 264.7 macrophages to M2 phenotype. Tai-Chi hydrogel itself has a significant therapeutic effect on diabetic wound by regulating inflammatory microenvironment. In addition, Tai-Chi hydrogel in combination with NIR irradiation exhibited remarkably therapeutic effect by promoting re-epithelialization and angiogenesis, accelerating collagen deposition and macrophages polarization to M2 phenotype. This work firstly presents the novel strategy in designing functional materials with opposite properties inspired by the philosophy of "Yin-Yang" in “Tai Chi” as diabetic wound dressing.
The spatiotemporal variations of microbial community in relation to water quality in a tropical drinking water reservoir, southmost China
Authors: Wu Di , Zou Ying , Xiao Juan , Mo Ling , Lek Sovan , Guo Zhiqiang , Fu Qiongyao
Published: September 2023

It is well known that water quality has great significance on microbial community composition in aquatic environments. In this study, a typical tropical reservoir was used as a model system to test the hypothesis that the variations of water quality across time and space resulted in significant differences in microbial community composition. Specifically, we detected water column indicates the microbial community composition of nine sampling sites over two seasons using Illumina TruSeq sequencing in Songtao Reservoir, Hainan Province, Southmost China. The study indicated that the dominant phylum was Actinobacteria, Proteobacteria, Bacteroidetes, and Cyanobacteria. The diversity parameters showed that the microbial community composition had significant spatiotemporal variations, including the significantly higher Shannon index and Simpson index upstream than those midstream and downstream. Besides, there were significantly higher Chao1 index, Shannon index, and Simpson index in winter than in summer. Principal coordinates analysis (PCoA) showed the microbial structural composition had significant seasonal differences. Our results further revealed that the eutrophication level upstream was higher than that of midstream and downstream. The redundancy analysis (RDA) diagram indicated that the abundance of microbiology species significantly correlated with temperature, total phosphorus, Se, and Ni. Furthermore, the mantel test showed that the temperature and total phosphorus significantly affected the community structure composition of archaea and bacteria. Overall, our finding here partially validated our hypothesis that the spatiotemporal variations of microbial community composition are significantly related to water quality, which has been unknown previously in tropical waterbodies. The study provided critical information for the management of reservoir microbial community and drinking water safe.
Development and validation of the biosafety incident response competence scale for clinical nursing staff
Authors: Wu Chao , Zhang Hongli , Zhang Yinjuan , Hu Mengyi , Lin Yawei , Sa Zhen , Li Shuwen , Zhang Yulian , Lang Hong-juan
Published: September 2023

Aims: This study aimed to develop the biosafety incident response competence scale and evaluate its validity and reliability among clinical nurses.
Design: A scale development and validation study was completed in the following three phases: (1) the construction of a multidimensional conceptual model, (2) the preliminary exploration of the items, and (3) further exploration and evaluation of the items.
Methods: The multidimensional conceptual model was developed through a literature review and the Delphi method. A total of 1,712 clinical nurses participated in the preliminary item exploration, while 1,027 clinical nurses were involved in the further item evaluation from July 2023 to August 2023. The item analysis, exploratory factor analysis and confirmatory factor analysis were conducted to evaluate the construct validity. The reliability was measured by internal consistency, split-half reliability and test–retest reliability.
Results: The final scale is composed of 4 factors and 29 items, scored on a 5-point scale. The factors included monitoring and warning abilities, nursing disposal abilities, biosafety knowledge preparedness, and infection protection abilities. The explanatory variance of the 4 factors was 75.100%. The validity and reliability of the scale are well validated. The internal consistency, split-half reliability and test-retest reliability were 0.974, 0.945 and 0.840 respectively. The scale has good structural validity and content validity. The content validity was 0.866.
Conclusions: The biosafety incident response competence scale for nurses exhibits satisfactory reliability and validity, making it a valuable tool for assessing clinical nurses' abilities in responding to biosafety incidents.
Patient or Public Contribution: Clinical nurses participated in the exploration and evaluation of the nurse's biosafety incident response competence scale.
Modeling and Control for a Long-Stroke 4-PPR Compliant Parallel Mechanism
Authors: Ren Jianze , Zhang Chi , Yang Miao , Yuan Liming , Sang Na , Yao Jianhua
Published: September 2023

Long-stroke compliant parallel mechanisms(CPMs) are widely used in precision applications.
However, stress stiffening and sensitivity to external disturbances in CPMs present challenges in the
design of controller. In this paper, the nonlinear stiffness model of the stage is established which is incorporated into
the dynamic model . In particular, the method of adaptive nonsingular fast terminal sliding mode
control(ANFTSMC) is developed based on the dynamic model. This method addresses the problems
of the system parameter uncertainty and the slow convergence of traditional sliding mode control(SMC) at the
equilibrium point. The stability of the presented ANFTSMC strategy has been proved based on the Lyapunov
analysis. Finally, the proposed control architecture is implemented on the designed 4-prismatic-prismatic-revolute(4-PPR)
CPM. The results demonstrate that the developed method exhibits excellent tracking accuracy and robustness compared
to the traditional linear sliding mode control(LSMC) and proportional-integral-derivative(PID) control.
Examining the strength dependency of frequency-magnitude distribution in small Earthquakes: implications for stress state criticality
Authors: Matsumoto Satoshi , Iio Yoshihisa , Sakai Shinichi , Kato Aitaro
Published: September 2023

The distribution of earthquake sizes, characterized by the power law decay as “b-value”, exhibits spatiotemporal variations detected by seismic networks. These changes are sometimes evident before a large earthquake. Understanding these variations is key to developing a model for large-earthquake generation. Previous studies have shown that changes in the b-value are caused by the tectonic stress regime. Furthermore, lab experiments have demonstrated b-value dependency of acoustic emissions on the criticality of the failure condition. However, the factors controlling the b-values during natural seismic activity are unclear. In this study, changes in the b-value in small earthquake sequences were investigated, focusing on failure criticality. Based on our high-precision focal mechanism dataset, we conclude that the b-value decreases as it nears a critical failure condition, providing a physical explanation for the reduction in b-value before a major earthquake. Our findings elucidate fault failure models, facilitating improvement in earthquake alerts and disaster mitigation.
Industry 4.0 Transformation: Adaptive Coati Deep Convolutional Neural Network-based Oral Cancer Diagnosis from Histopathological Images
Authors: Dharani R. , Revathy S.
Published: September 2023

Oral cancer is common cancer that appears in the mouth, posing a significant threat to public health due to its high mortality rate. Oral Squamous Cell Carcinoma (OSCC) is the most prevalent type of oral cancer, accounting for most cases, and it holds the seventh position among all types of cancers worldwide. Detecting OSCC early on is crucial to increase the chances of successful treatment and improve patients' survival rates. However, traditional diagnosis methods such as biopsy, where small tissue samples are extracted from the affected area and tested under a microscope, are time-consuming and require expert analysis. Moreover, due to the heterogeneity of OSCC, accurate diagnosis is challenging, and there is a need for alternative approaches to enhance the detection result of OSCC images. Therefore, this work develops two new approaches for segmenting and identifying OSCC with deep learning techniques named Mask Mean Shift CNN, named MMShift-CNN. The proposed MMShift-CNN approach attained the highest results in segmenting the OSCC region from the input image by retrieving color, texture, and shape features. The novel proposed method attained better performance with accuracy, F-measure, MSE, precision, sensitivity, and specificity of 0.9883, 0.9883, 0.0117, 0.999, 0.9867, and 0.99, respectively. These results reveal the efficiency of the proposed approach in accurately detecting oral cancer and potentially improving the efficiency of oral cancer diagnosis.
Predictive Modelling of Under-Five Mortality Determinants Using Machine Learning Techniques
Authors: Saroj Rakesh Kumar , Yadav Pawan Kumar , Visi Vizovonuo
Published: September 2023

Background
Under-five mortality is one of the major public health issues and directly influences the population’s health, social development, and economic status of countries. Thus, early detection is essential to find what efficient prevention can take to save it. Therefore, this study will explain how machine-learning techniques can help predict the important determinants of under-five mortality in India.
Methods
This study used data from the National Family Health Survey-V of India. We performed the tenfold cross-validation to assess the model’s capability in the dataset. The decision tree, random forest, logistic regression, neural network, ridge regression, k-nearest neighbor, and naive Bayes models were used in under-five mortality data, and metrics like confusion matrix, accuracy, recall, precision, F1-score, Cohen kappa, and the area under receiver operative characteristics (AUROC) were used to assess the predictive power of the models. The chi-square scores, recursive feature elimination, extra tree classifier, random forest importance, sequential feature selector, and traditional logistic regression were used to predict the important features(factors) of under-five mortality. All computational algorithms were done with the help of SPSS-27 and Jupiter notebook (inbuilt Python 3.3) software.
Result
The result reveals that the random forest model was the best predictive model compared to other ML models for under-five mortality. The Random Forest model’s precision was estimated to be 98.88% for all factors and 96.25% for important selected variables. After that, neural network accuracy was 96.52%, and accuracy was 94.83% with important variables. Traditional logistic regression accuracy was 93.99% and 93.51%, respectively. The number of living children, breastfeeding status, birth in the last five years, children ever born, time, antenatal care, region, size of children, number of household members, and birth order, were important factors of under-five mortality after using the feature selection methods.
Conclusions
This is the first study of India to use machine learning approaches to find the important ML predictive model and determine the causative factors for under-five mortality. The random forest model predicted the most important factors with the highest accuracy of under-five mortality. This machine-learning approach can be used as reference concepts to understand students, non-computing professionals, healthcare professionals, and decision-makers in various real-world situations and application areas, particularly from the technical point of view.
Community Perception of Forest Ecosystem Services to Enhance Environmental Decision-making in the Ifrane National Park (Morocco)
Authors: Ismaili Hassana Alaoui , Brhadda Najiba , Ziri Rabea
Published: September 2023

The concept of ecosystem services is increasingly seen as a tool allowing the achievement of sustainable use of forest resources. However, it is not yet sufficiently integrated into participatory forest management approaches.
For this purpose, a study was conducted to assess the direct and indirect benefits of Forest Ecosystem Services perceived by local communities around Ifrane National Park in Morocco and their involvement in its management. The data are collected from 279 households between April and June 2021 through face-to-face interviews. Perceptions of use, priority, and trends of Forest Ecosystem Services are analyzed using descriptive statistics. The Chi-square test was used to examine significant associations between wealth categories and prioritization of provisioning FES.
Several provisioning Forest Ecosystem Services have been identified as essential for household subsistence and cash uses. The chi-square test shows an association between provisioning forest services for subsistence and cash use and household wealth categories. Regarding the prioritization of FESs, fifteen were prioritized, showing the need for their integration into any future forest management approach. 92.8% of participants perceived change in ecosystem services using the participatory approaches, this change was almost always positive (30.9%) and often negative (27.6%). Provisioning FES experienced the greatest negative change (59.2%), requiring several interventions to ensure their sustainability.
These results confirm the importance of integrating participatory ecosystem service assessment with biophysical evaluations to evaluate the benefits of forest areas for the well-being of users. Lack of involvement in forest management can contribute significantly to unsustainable resource extraction by local communities.
Zio® XT Patches in Pediatrics During the COVID-19 Pandemic: Comparisons Between In-Person and Mail-Home Application
Authors: Khan Mohammad S. , Dawson Angela , Rosenthal Geoffrey , Snyder Christopher
Published: September 2023

The Zio® (Zio) XT Patch is a 14-day continuous ambulatory ECG monitor. During the Covid-19 pandemic, Zios were mailed directly to patients for self-application. The purpose of this study was to compare the percent artifact, a marker for quality, of in-clinic (IC) to mail-home (MH) applications in a pediatric population.
Methods:A single-center, IRB-approved study of patients 0-< 21 years of age with Zios were studied for wear and artifact time filtered out based on iRhythm’s proprietary algorithm.
Results: In total, 284 Zios were randomly selected and analyzed for total wear time and artifact. Of these, 149 were IC prior to 12/31/2019 and 135 MH patches prescribed after 1/1/2020. No significant difference was found for percent artifact between the IC (7.8%) and MH (8.3%) group. Average IC wear-time was 127 hours compared to MH at 99 hours (p = 0.02). In conclusion, application of Zio patches outside of the pediatric cardiology clinic offers equivalent artifact, a marker of quality, as those applied in clinic and should be consideration as a viable alternative.
Analysis of Low Carbon Integrated EnergySystem Considering Multiple Uncertainties
Authors: Wang Lunjie , Chen Shuai , Luo Lin , Cao Yupeng
Published: September 2023

Carbon capture systems and the utilization of renewable energy are key waysto reduce carbon emissions, but their uncertainty seriously affects the stableoperation and economic efficiency of power systems. To tackle this challenge, alow-carbon economic scheduling model for microgrid electric-thermal integratedenergy systems(IES) considering uncertainty is proposed in this paper. The modelsuggests an ideal dispatch of the IES system that accounts for the disruption ofthe carbon capture system’s integration into the grid belt and plans for the carbon capture plant’s low carbon features. Coupling of wind energy with carboncapture power plants employing incentives for system operation and dispatch toincorporate load-side demand response resources. The system’s low carbon performance is increased through cooperative source-load resource optimization. Awell-established industrial automation optimal dispatch model is developed usingYALMIP and CPLEX. The results reveal that the method contributes to the resolution of the system adaptability problem and encourages a balance between lowcarbon and economics for large loads, taking into account that uncertainty raisesthe cost by around 3%, thereby boosting system robustness to an acceptabledegree.
Insights of Bioethics among Healthcare Professionals in All Public and PrivateHospitals of District Haripur, Pakistan
Authors: Ateeb Muhammad , Haq Ijaz ul , Zakki Shahbaz Ahmad , Altaf Ehtisham , Junaid Muhammad , Ali Mustafa , Rehman Atif Ur , Wajid Daniyal , Farid Abdullah , Mehmood Asad
Published: September 2023

Background:Awareness of bioethics among healthcare personnel is essential to ensure ethical practice in healthcare. The study aimed to assess the level of bioethics insights and awareness among healthcare professionals and explore its associations with socio-demographic characteristics, training/teaching of ethics, practice of medical ethics and specific ethical issues.Methods:A cross-sectional study was conducted between March and May of 2023 among healthcare professionals (n = 647) including doctors, nurses, LHV, medical technicians/dispensers and other medical personnel from both the public healthcare facilities (BHU, RHC, THQ, and DHQ) and private hospitals located in the Haripur district, Pakistan. The data was collected through a validated questionnaire, whereby a score was given for each response, and a total score was calculated.Results:The overall mean ± SD awareness scores for ethics in healthcare practice and specific issues in medical ethics were 8.0 ± 2.4 and 32.0 ± 5.2, indicating both physicians and non-physicians need to know more about bioethics. With regard to training and teaching in medical ethics, a significant correlation was found between the duration of the ethical training/teaching and job categories/designations (p< 0.001). Ethical views of healthcare professionals differed greatly by job designation regarding the treatment of children without consent (Cramer’s V = 0.4) and revealing the patient’s condition to relatives (Cramer’s V = 0.39). Specific ethical issues such as accepting gifts from patients and pharmaceutical companies, referral fees, advising specific products to patients, disclosure of medical errors, patient’s confidentiality, not informing patients fully about treatment and performing tasks for financial gain showed significant associations with healthcare professional's designation (p< 0.05). Significant differences were observed in ethical awareness scores based on age, ethnicity, place of posting, professional experience, and the organization's ethical guidelines (p< 0.05).Conclusion:This study highlighted a notable gap in the understanding of certain ethical concerns among healthcare professionals, with nurses showing relatively lower awareness of healthcare practice compared to other professionals. Addressing these issues through targeted training and robust ethical guidelines are critical to improving patient’s care and rights in Pakistan's healthcare system.
Unveiling the Intrinsic Photophysics in Quasi-2D Perovskites
Authors: Ren Zefeng , Li Bo-Han , Di Haipeng , Li Huang , Wang Jia-Cheng , Zeng Wen , Cheng Da-Bing , Zhou Chuanyao , Wang Xingan , Shi Yan , Song Jiangfeng , Zhao Yiying , Yang Xueming
Published: September 2023

The 2D perovskites have drawn intensive attentions due to their unique stability and outstanding optoelectronic properties. However, the debate surrounding the spatial phase distribution and band alignment among different 2D phases in the quasi-2D perovskite has created complexities in understanding the carrier dynamics, hindering material and device development. In this study, we employed highly sensitive transient absoprtion spectroscopy to investigate the carrier dynamics of (BA)2(MA)n−1PbnI3n+1 quasi-2D Ruddlesden-Popper (RP) perovskite thin film, nominally prepared as n = 4. We observed the carrier density dependent electron and hole transfer dynamics between 2D and 3D phases. Under low carrier density within the linear response range, we successfully resolved three ultrafast processes of both electron and hole transfers, spanning from hundreds of fs to several ps, tens to hundreds of ps, and hundreds of ps to several ns, which can be attributed to lateral-epitaxial, partial-epitaxial and disordered-interface heterostructures between 2D and 3D phases. By considering the interplay among phase structure, band alignment and carrier dynamics, we have proposed material synthesis strategies aimed at enhancing the carrier transport. Our results not only provide deep insights into an accurate intrinsic photophysics of quasi-2D perovskites, but also inspire advancements in the practical application of these materials.
Ausgerechnet Algorithmen
Authors: Stricker Janne , Verständig Dan
Published: September 2023

Systeme zur automatischen Spracherkennung können Teilhabebarrieren senken und das Gefühl von Zugehörigkeit steigern. Sie können aber auch bestehende Barrieren verstärken und neue aufbauen. Der Beitrag stellt die Frage danach, wie Teilhabe im Kontext von TikTok und vor dem Hintergrund algorithmischer Systeme betrachtet werden kann. Dafür wird ein methodologischer Rahmen aufgespannt, der sich im Schnittfeld von Medienbildung, Inklusion und digitalen Technologien bewegt. Abschliessend werden mögliche Zugänge zu einer diversitätssensiblen Medienpädagogik diskutiert.
Digitale Hochschullehre für Alle gestalten
Authors: Kuhlmann Judith , Günter Jule , Kamin Anna-Maria
Published: September 2023

Die zunehmende Heterogenität der Studierenden sowie voranschreitende Digitalisierungsprozesse an deutschen Hochschulen bringen neue Herausforderungen für die Lehre mit sich. Vor allem Lehrende stehen als Hauptakteur:innen vor neuen Anforderungen. Eine empirische Studie aus dem Frühjahr 2022 an vier deutschen Hochschulen bringt neue Erkenntnisse, wie Lehrende den Anforderungen einer digitalen, für alle Studierenden zugänglichen Lehre begegnen. Zentral erweisen sich in diesem Kontext das Wissen, die Einstellung und die Erfahrung von Lehrenden insbesondere in deren Interdependenzen. Eine zentrale Rolle nimmt dabei die Bedeutung eines antizipierten Mehraufwandes für die Umsetzung digitaler, zugänglicher Lehre ein. Dieser lässt sich durch einen Mangel an Wissen und Erfahrung begründen, welcher Einfluss auf die Einstellung von Lehrenden nimmt. Zur Realisierung einer Hochschule für Alle ist es daher notwendig, Lehrenden Unterstützungs- und Weiterbildungsangebote bereitzustellen, um sie für die neuen Herausforderungen zu qualifizieren, mit denen sie bei der Umsetzung einer digitalen, zugänglichen Lehre konfrontiert sind.
Digitale Medien in der Beruflichen Rehabilitation
Authors: Dengel Andreas , Jeske Petra , Krug Walter
Published: September 2023

Das Projekt Medien.Gestalten.Perspektiven am Berufsbildungswerk Abensberg befasst sich mit der Frage, wie digitale Medien, auch in einer pandemiefreien Zukunft, Bildungs- und Beziehungsprozesse in der beruflichen Rehabilitation unterstützen können. In einem integrativen Mixed-Methods-Forschungsdesign zum Lehren und Lernen mit digitalen Medien wurden eine quantitative Fragebogenstudie mit 76 Ausbilder:innen und qualitative Interviews mit 6 Ausbilder:innen durchgeführt. Ergänzt wurden die so eingeholten Informationen um Vorschläge und Wünsche von Auszubildenden auf einer digitalen Pinnwand. Die Daten wurden mithilfe von deskriptiven Statistiken sowie zusammenfassenden qualitativen Inhaltsanalysen ausgewertet, um die IST-Situation der Einrichtung darzustellen. Auf Grundlage der Ergebnisse wurden theorie- und evidenzgeleitetet zehn Zielsetzungen als erwünschter SOLL-Zustand der Einrichtung in der Perspektive der Digitalisierung formuliert. Zur Erreichung dieser Zielsetzungen wurden zehn entsprechende Arbeitspakete festgelegt, welche im Beitrag vorgestellt werden.
‹Ich sehe was, was du nicht siehst…›
Authors: Kückmann Marie-Ann
Published: September 2023

Wiederholt wird im Inklusionszusammenhang auf die Bedeutung von Medien verwiesen. Inklusion und Mediatisierung werden dabei als relevante, grundlegende gesellschaftliche Transformationen zunehmend zusammen gedacht. So wird im Kontext des Diskurses um inklusive Medienbildung immer wieder darauf hingewiesen, dass Medien eben Möglichkeiten zur Teilhabe und Interaktion bedingen und darüber entsprechend Kultur d. h. zugrundeliegende Inhalte, Werte usw. (mit) herstellen. Ausgehend von diesen Grundgedanken soll vorliegend neben Inklusion und Mediatisierung auch eine zunehmende Visualisierung als untrennbar miteinander verbundene Prozesse vor dem Hintergrund transformatorischer Bildung in den Blick genommen werden. So ist nicht zuletzt im Zuge digitaler Transformation festzustellen, dass visuelle Ausdrucksformen resp. neuere Kommunikationsmedien wie bspw. «Sketchnotes» vermehrt Eingang in unterschiedliche Lebensbereiche finden. So erfreuen sich etwa Ansätze wie «Graphic Recording» sowie «Visual Facilitation» sowohl im betrieblichen Kontext als auch im (Weiter-)Bildungsbereich zunehmender Beliebtheit. Dabei sind im Besonderen Fragen danach, was das Prinzip Sketchnoting als spezifische mediale Artikulation überhaupt ausmacht und inwiefern dieses hierauf aufbauend einen Beitrag zur inklusiven Medienbildung leisten kann, jedoch weitgehend ungeklärt. Der vorliegende Artikel widmet sich diesen und ähnlichen Fragestellungen aus theoretischer Perspektive, kennzeichnet Sketchnoting als grundlegenden dynamisch-dialektischen Prozess (also bspw. als Wechselspiel von Simultaneität und Sukzession, von Emotionsförderung und Versachlichung sowie von Abstrahierung und Konkretisierung), leitet aufbauend neuartige mediale Ausdrucks-, Interaktions- resp. Verständigungsmöglichkeiten ab und soll so auch einen Ausgangspunkt für weitere Diskussionen sowie für die empirische Forschung eröffnen.
Development of a Cucumber Transpiration Model Based on a Simplified Penman-Monteith Model in a Semi-closed Greenhouse
Authors: Rho Hyungmin , Su Jung , Sim Ha Seon , Moon Yu Hyun , Woo Ui Jeong , Kim Sung Kyeom
Published: September 2023

We aimed to develop a more accurate transpiration model for cucumber (Cucumis sativus L.) plants to optimize irrigation and nutrient usage in soilless greenhouse cultivation. Accurate modeling of transpiration in greenhouse-grown cucumbers is crucial for effective cultivation practices. Existing models have limitations that hinder their applicability. Therefore, this research focused on refining the modeling approach to address these limitations. To achieve this, a comprehensive methodology was employed. The actual transpiration rates of three cucumber plants were measured using a load cell, enabling crop fresh weight changes to be calculated. The transpiration model was developed by making specific corrections to the formula derived from the Penman-Monteith equation. In addition, the study investigated the relationship between transpiration rate and solar radiation (Rad) and vapor pressure deficit (VPD), identifying a nonlinear association between these variables. The transpiration model was adjusted to account for these nonlinear relationships and compensate for Rad and VPD. Comparative analysis between the actual and estimated transpiration rates demonstrated that the developed cucumber transpiration model reduced overestimation by 23.69%. Furthermore, the model exhibited higher coefficients of determination and root mean square error (RMSE) values than existing models, suggesting its superior accuracy in predicting transpiration rates. Implementing the transpiration model-based irrigation method demonstrated the potential for ∼21% nutrient savings compared with conventional irrigation practices. This finding highlights the practical applications of the developed model—accounting for a nonlinearity of Rad and VPD—in optimizing irrigation practices for greenhouse cucumber cultivation.
Winter Activity for Crapemyrtle Bark Scale, an Urban Landscape Pest
Authors: Wright Erika R. , Chase Kevin D. , Littlejohn Caitlin , Stiller Amber , Ward Samuel F.
Published: September 2023

Scale insects are some of the most abundant and damaging pests of urban forests in North America. Despite their prevalence, scale insect emergence during the winter dormant season, which could contribute to their population growth and spread and thereby inform management, has not been thoroughly investigated. Crapemyrtle bark scale (CMBS), Acanthococcus lagerstroemiae (Kuwana) (Hemiptera: Eriococcidae), is a nonnative pest of a widely grown landscape tree, crapemyrtle (Lagerstroemia spp.). Now present throughout the Southeast and Mid-Atlantic regions of the United States, CMBS has spread rapidly since its initial detection in Plano, TX, USA, in 2004. The contributions of year-round activity to the insect’s widespread abundance and economic importance are unclear. Here, after infesting crapemyrtles with known numbers of CMBS in Summer 2021, we recorded the presence or absence of CMBS immatures on infested trees from Autumn 2021 to late Winter 2022. We found that active nymphs occurred throughout the entirety of these colder seasons. Additionally, average CMBS density drastically increased from October to March, growing from 28 ± 10 SE insects per plant to 554 ± 133 SE, respectively. Our results highlight previously unknown aspects of year-round crawler emergence by CMBS, which could provide opportunities for landscape managers to use targeted winter applications of less harmful pesticides such as horticultural oils.
The Characteristics of Indonesian Digital Diplomacy
Authors: Triwibowo Albert
Published: September 2023

Digital diplomacy has gained momentum in recent years, especially when the COVID-19 pandemic occurred in 2020. The popularity of digital diplomacy lied in its characteristics where it offered more access to information, dialogic communication as well as transparency in diplomacy as had been implemented by many developed countries. However, recent studies have not focused yet on digital diplomacy implementation by non-developed countries. The research aimed to address the gap, by offering an analysis of the characteristics of and how Indonesia has implemented digital diplomacy. As every country had developed their respective path towards digitalisation and every Ministry of Foreign Affairs (MoFA) has its own evolution of digital diplomacy, each of which has its own characteristics in implementing digital diplomacy. The research focused on the characteristics of a country which has implemented digital diplomacy. Thus, the research tried to examine the characteristics of Indonesia’s digital diplomacy. The research argued that Indonesia’s digital diplomacy initiatives are based on a limited understanding of digital diplomacy, are sporadically pursued, and are based on an ad hoc basis. The domestic public’s interest in international issues further encourages the implementation of digital instruments. The research covered three main issues, namely the COVID-19 pandemic, the issue of palm oil, and the Rohingya crisis to establish the characteristics of Indonesian digital diplomacy. The qualitative research used primary sources in the form of interviews with Indonesian diplomats and key researchers. Furthermore, secondary sources related to Indonesia’s digital diplomacy are also used to support the research.