bluuebunny/crossref_metadata_2025 huggingface dataset:
Unmanned Aerial Vehicle Assisted Post-Disaster Communication Coverage Optimization Based on Internet of Things Big Data Analysis
Authors: Yang Biao , Xiong Xuanrui , Liu He , Jia Yumei , Gao Yunli , Tolba Amr , Zhang Xingguo
Published: July 2023

The rapid development of Internet of Things (IoT) communication devices has brought about significant convenience. However, simultaneously, the destruction of communication infrastructure in emergency situations often leads to communication disruptions and challenges in information dissemination, severely impacting rescue operations and the safety of the affected individuals. To address this challenge, IoT big data analytics and unmanned aerial vehicle (UAV) technologies have emerged as key elements in the solution. By analyzing large-scale sensor data, user behavior, and communication traffic, IoT big data analytics can provide real-time communication demand prediction and network optimization strategies, offering decision support for post-disaster communication reconstruction. Given the unique characteristics of post-disaster scenarios, this paper proposes a UAV-assisted communication coverage strategy based on IoT big data analytics. This strategy employs UAVs in a cruising manner to assist in communication by partitioning the target area into multiple cells, each satisfying the minimum data requirements for user communication. Depending on the distribution characteristics of users, flight–communication or hover-communication protocols are selectively employed to support communication. By optimizing the UAV’s flight speed and considering the coverage index, fairness index, and average energy efficiency of the mission’s target area, the Inner Spiral Cruise Communication Coverage (IS-CCC) algorithm is proposed to plan the UAV’s cruising trajectory and achieve UAV-based communication coverage. Simulation results demonstrate that this strategy can achieve energy-efficient cruising communication coverage in regions with complex user distributions, thereby reducing energy consumption in UAV-based communication.
Assessment of the Variability of Human Exposure to Radiofrequency Electromagnetic Fields Arising from 5.9 GHz Vehicular Communication in Urban Environments
Authors: Tognola Gabriella , Benini Martina , Bonato Marta , Gallucci Silvia , Parazzini Marta
Published: July 2023

This paper assessed the variability of radiofrequency exposure among road users in urban settings due to vehicle-to-vehicle (V2V) communication operating at 5.9 GHz. The study evaluated the absorbed dose of radiofrequencies using whole-body specific absorption rate (SAR) in human models spanning different age groups, from children to adults. To overcome limitations of previous studies, we developed a novel hybrid procedure that combines deterministic and stochastic approaches, enabling assessment across multiple urban layouts. Real urban conditions and varying propagation scenarios were considered in SAR calculations. By varying the road user’s position within 1.5–300 m from transmitting cars, the SAR distribution was determined. Median SAR remained consistently low, around 0.70 mW/kg, even with multiple transmitting cars and multiple emitting antennas, using maximum power allowed in US (44.8 dBm). The 99th percentile of SAR distribution varied based on body mass, decreasing for heavier models (typically adults) and increasing with the number of transmitting cars and antennas. The highest absorbed dose (73 mW/kg) occurred in a child model. The SAR consistently remained below the 80 mW/kg limit for whole-body exposure to electromagnetic fields in the 100 kHz–300 GHz range.
Anomaly Detection in Annular Metal Turning Surfaces Based on a Priori Information and a Multi-Scale Self-Referencing Template
Authors: Suo Xinyu , Zhang Jie , Liu Jian , Yang Dezhi , Zhou Feitao
Published: July 2023

To solve the problem of anomaly detection in annular metal turning surfaces, this paper develops an anomaly detection algorithm based on a priori information and a multi-scale self-referencing template by combining the imaging characteristics of annular workpieces. First, the annular metal turning surface is unfolded into a rectangular expanded image using bilinear interpolation to facilitate subsequent algorithm development. Second, the grayscale information from the positive samples is used to obtain the a priori information, and a multi-scale self-referencing template method is used to obtain its own multi-scale information. Then, the phase error and large-size anomaly interference problems of the self-referencing method are overcome by combining the a priori information with its own information, and an accurate response to anomalous regions of various sizes is realized. Finally, the segmentation completeness of the anomalous region is improved by utilizing the region growing method. The experimental results show that the proposed method achieves a mean pixel AUROC of 0.977, and the mean M_IOU of segmentation reaches 0.788. In terms of efficiency, this method is also much more efficient than the commonly used anomaly detection algorithms. The proposed method can achieve rapid and accurate detection of defects in annular metal turning surfaces and has good industrial application value.
MSA-YOLO: A Remote Sensing Object Detection Model Based on Multi-Scale Strip Attention
Authors: Su Zihang , Yu Jiong , Tan Haotian , Wan Xueqiang , Qi Kaiyang
Published: July 2023

Remote sensing image object detection holds significant research value in resources and the environment. Nevertheless, complex background information and considerable size differences between objects in remote sensing images make it challenging. This paper proposes an efficient remote sensing image object detection model (MSA-YOLO) to improve detection performance. First, we propose a Multi-Scale Strip Convolution Attention Mechanism (MSCAM), which can reduce the introduction of background noise and fuse multi-scale features to enhance the focus of the model on foreground objects of various sizes. Second, we introduce the lightweight convolution module GSConv and propose an improved feature fusion layer, which makes the model more lightweight while improving detection accuracy. Finally, we propose the Wise-Focal CIoU loss function, which can reweight different samples to balance the contribution of different samples to the loss function, thereby improving the regression effect. Experimental results show that on the remote sensing image public datasets DIOR and HRRSD, the performance of our proposed MSA-YOLO model is significantly better than other existing methods.
Extraction of the Microstructure of Wool Fabrics Based on Structure Tensor
Authors: Zhu Jiani , Ma Youwei , Ding Guoqing , Liu Manhua , Chen Xin
Published: July 2023

The trends of “fashionalization”, “personalization” and “customization” of wool fabrics have prompted the textile industry to change the original processing design based on the experience of engineers and trial production. In order to adapt to the promotion of intelligent production, the microstructure of wool fabrics is introduced into the finishing process. This article presents an automated method to extract the microstructure from the micro-CT data of woven wool fabrics. Firstly, image processing was performed on the 3D micro-CT images of the fabric. The raw grayscale data were converted into eigenvectors of the structure tensor to segment the individual yarns. These data were then used to calculate the three parameters of diameter, spacing and the path of the center points of the yarn for the microstructure. The experimental results showed that the proposed method was quite accurate and robust on woven single-ply tweed fabrics.
Spatially Modulated Fiber Speckle for High-Sensitivity Refractive Index Sensing
Authors: Guo Penglai , Liu Huanhuan , Zhou Zhitai , Hu Jie , Wang Yuntian , Peng Xiaoling , Yuan Xun , Shu Yiqing , Zhang Yingfang , Dang Hong , Xu Guizhen , Zhang Aoyan , Xue Chenlong , Hu Jiaqi , Shao Liyang , Chen Jinna , Li Jianqing , Shum Perry Ping
Published: July 2023

A fiber speckle sensor (FSS) based on a tapered multimode fiber (TMMF) has been developed to measure liquid analyte refractive index (RI) in this work. By the lateral and axial offset of input light into TMMF, several high-order modes are excited in TMMF, and the speckle pattern is spatially modulated, which affects an asymmetrical speckle pattern with a random intensity distribution at the output of TMMF. When the TMMF is immersed in the liquid analyte with RI variation, it influences the guided modes, as well as the mode interference, in TMMF. A digital image correlations method with zero-mean normalized cross-correlation coefficient is explored to digitize the speckle image differences, analyzing the RI variation. It is found that the lateral- and axial-offsets-induced speckle sensor can enhance the RI sensitivity from 6.41 to 19.52 RIU−1 compared to the one without offset. The developed TMMF speckle sensor shows an RI resolution of 5.84 × 10−5 over a linear response range of 1.3164 to 1.3588 at 1550 nm. The experimental results indicate the FSS provides a simple, efficient, and economic approach to RI sensing, which exhibits an enormous potential in the image-based ocean-sensing application.
Children’s Pain Identification Based on Skin Potential Signal
Authors: Li Yubo , He Jiadong , Fu Cangcang , Jiang Ke , Cao Junjie , Wei Bing , Wang Xiaozhi , Luo Jikui , Xu Weize , Zhu Jihua
Published: July 2023

Pain management is a crucial concern in medicine, particularly in the case of children who may struggle to effectively communicate their pain. Despite the longstanding reliance on various assessment scales by medical professionals, these tools have shown limitations and subjectivity. In this paper, we present a pain assessment scheme based on skin potential signals, aiming to convert subjective pain into objective indicators for pain identification using machine learning methods. We have designed and implemented a portable non-invasive measurement device to measure skin potential signals and conducted experiments involving 623 subjects. From the experimental data, we selected 358 valid records, which were then divided into 218 silent samples and 262 pain samples. A total of 38 features were extracted from each sample, with seven features displaying superior performance in pain identification. Employing three classification algorithms, we found that the random forest algorithm achieved the highest accuracy, reaching 70.63%. While this identification rate shows promise for clinical applications, it is important to note that our results differ from state-of-the-art research, which achieved a recognition rate of 81.5%. This discrepancy arises from the fact that our pain stimuli were induced by clinical operations, making it challenging to precisely control the stimulus intensity when compared to electrical or thermal stimuli. Despite this limitation, our pain assessment scheme demonstrates significant potential in providing objective pain identification in clinical settings. Further research and refinement of the proposed approach may lead to even more accurate and reliable pain management techniques in the future.
mm-TPG: Traffic Policemen Gesture Recognition Based on Millimeter Wave Radar Point Cloud
Authors: Dang Xiaochao , Ke Wenze , Hao Zhanjun , Jin Peng , Deng Han , Sheng Ying
Published: July 2023

Automatic driving technology refers to equipment such as vehicle-mounted sensors and computers that are used to navigate and control vehicles autonomously by acquiring external environmental information. To achieve automatic driving, vehicles must be able to perceive the surrounding environment and recognize and understand traffic signs, traffic signals, pedestrians, and other traffic participants, as well as accurately plan and control their path. Recognition of traffic signs and signals is an essential part of automatic driving technology, and gesture recognition is a crucial aspect of traffic-signal recognition. This article introduces mm-TPG, a traffic-police gesture recognition system based on a millimeter-wave point cloud. The system uses a 60 GHz frequency-modulated continuous-wave (FMCW) millimeter-wave radar as a sensor to achieve high-precision recognition of traffic-police gestures. Initially, a double-threshold filtering algorithm is used to denoise the millimeter-wave raw data, followed by multi-frame synthesis processing of the generated point cloud data and feature extraction using a ResNet18 network. Finally, gated recurrent units are used for classification to enable the recognition of different traffic-police gestures. Experimental results demonstrate that the mm-TPG system has high accuracy and robustness and can effectively recognize traffic-police gestures in complex environments such as varying lighting and weather conditions, providing strong support for traffic safety.
An Automatic Classification System for Environmental Sound in Smart Cities
Authors: Zhang Dongping , Zhong Ziyin , Xia Yuejian , Wang Zhutao , Xiong Wenbo
Published: July 2023

With the continuous promotion of “smart cities” worldwide, the approach to be used in combining smart cities with modern advanced technologies (Internet of Things, cloud computing, artificial intelligence) has become a hot topic. However, due to the non-stationary nature of environmental sound and the interference of urban noise, it is challenging to fully extract features from the model with a single input and achieve ideal classification results, even with deep learning methods. To improve the recognition accuracy of ESC (environmental sound classification), we propose a dual-branch residual network (dual-resnet) based on feature fusion. Furthermore, in terms of data pre-processing, a loop-padding method is proposed to patch shorter data, enabling it to obtain more useful information. At the same time, in order to prevent the occurrence of overfitting, we use the time-frequency data enhancement method to expand the dataset. After uniform pre-processing of all the original audio, the dual-branch residual network automatically extracts the frequency domain features of the log-Mel spectrogram and log-spectrogram. Then, the two different audio features are fused to make the representation of the audio features more comprehensive. The experimental results show that compared with other models, the classification accuracy of the UrbanSound8k dataset has been improved to different degrees.
Research on the Perceived Quality of Virtual Reality Headsets in Human–Computer Interaction
Authors: Yang Yongzhong , Zhong Linling , Li Shihui , Yu Aixian
Published: July 2023

The progress of commercial VR headsets largely depends on the progress of sensor technology, the iteration of which often means longer research and development cycles, and also higher costs. With the continuous maturity and increasing competition of VR headsets, designers need to create a balance among user needs, technologies, and costs to achieve commercial competition advantages. To make accurate judgments, consumer feedback and opinions are particularly important. Due to the increasing maturity in the technology of commercial VR headsets in recent years, the cost has been continuously decreasing, and potential consumers have gradually increased. With the increase in consumer demand for virtual reality headsets, it is particularly important to establish a perceptual quality evaluation system. The relationship between consumer perception and product quality determined by evaluations of experience is improving. Using the research method implemented in this work, through semi-structured interviews and big data analysis of VR headset consumption, the perceptual quality elements of VR headsets are proposed, and the order of importance of perceptual quality attributes is determined by questionnaire surveys, quantitative analysis, and verification. In this study, the perceptual quality elements, including technical perceptual quality (TPQ) and value perceptual quality (VPQ), of 14 types of VR headsets were obtained, and the importance ranking of the VR headsets’ perceptual quality attributes was constructed. In theory, this study enriches the research on VR headsets. In practice, this study provides better guidance and suggestions for designing and producing VR headsets so that producers can better understand which sensor technology has met the needs of consumers, and which sensor technology still has room for improvement.
Promoting Academic Success and Social Inclusion in Non-Formal Education Contexts: The Case of a North-East Region of Portugal
Authors: Rodrigues Marta de Oliveira , Loureiro Armando , Flynn Paul , Berigel Muhammet , da Silva Sofia Marques
Published: July 2023

The processes leading to school failure and early school leaving are complex and involve multidimensional factors. In Portugal, as in other European countries, in the last decade, several policies, programmes, and practices have been developed to address this issue. This article focuses on a socio-educational practice of the study support type developed within a national programme aimed at social inclusion and educational success located in the community. The data collected through a semi-structured interview and a focus group with socio-educational professionals allowed us to identify how the study support practice is characterised and perceived by these actors. Processes and factors of transformation that occurred in the practice regarding its mode of implementation, conceptual evolution, and specificities were also addressed. Results indicate that the practice promotes improvements in participants’ outcomes such as learning, social behaviour, integration, and autonomy; the construction of a strong and sustained relationship with significant adults from the learning point of view; and the completion of compulsory schooling and studies. Hence, the research findings highlight that participation in the practice leads to transformative processes in the academic pathways of children and young people involved in the practice concerning academic, individual, and social dimensions.
Algae Polysaccharides (Carrageenan and Alginate)—A Treasure-Trove of Antiviral Compounds: An In Silico Approach to Identify Potential Candidates for Inhibition of S1-RBD Spike Protein of SARS-CoV2
Authors: Rohilla Dikshansha , Srivastava Akhileshwar Kumar , Singh Rahul Prasad , Yadav Priya , Singh Sandeep Kumar , Kumar Dharmendra , Bhardwaj Nikunj , Kesawat Mahipal Singh , Pandey Kapil Deo , Kumar Ajay
Published: July 2023

For the last three years, the world has faced the unexpected spread of the pandemic of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The high mortality rate and ever-changing shape of the virus are the challenging factors in the effective management of SARS-CoV-2. However, in last three years, research communities have made significant progress in developing vaccines and controlling the spread of the pandemic to a certain extent. These vaccines contain the attenuated pathogens, which after application did not kill the virus but protected the human by enhancing the immune system response during pandemic exposure. However, the negative side effects and the high cost of the synthetic vaccines are always of concern for researchers, consumers, and the government. Therefore, as an alternative to synthetic drugs, natural medicines or natural plant products have piqued researchers’ interest. Algae are considered as a treasure house of bioactive compounds such as carotenoids, vitamins, polysaccharides, proteins, etc. These bioactive compounds have been well documented for the treatments of various human ailments such as cancer and cardiovascular diseases. Furthermore, sulfated polysaccharides such as alginate and carrageenan have been reported as having antiviral and immunomodulating properties. Therefore, this review addresses algal polysaccharides, especially alginate and carrageenan, and their application in the treatment of COVID-19. In addition, in silico approaches are discussed for the inhibition of the S1-RBD (receptor-binding domain) of SARS-CoV-2, which attaches to the host receptor ACE2 (angiotensin-converting enzyme 2), and the interaction with the network of relative proteins is also explored, which will help in drug discovery and drug design.
Adaptability of Maize Farmers to Drought and the Selection of Irrigation Period—A Survey of Irrigation Behavior of Farmers in the Three Provinces of Huang-Huai-Hai, China
Authors: Hou Wenjia , Zhou Shudong
Published: July 2023

The summer maize area of Huang-Huai-Hai is the main summer maize production area in China, droughts occur frequently during the growth period of summer maize and irrigation water resources are scarce in this region. This paper studied the adaptability of maize farmers to drought and the selection of irrigation period in the three provinces of Huang-Huai-Hai. The adaptability index of irrigation at different growth stages was analyzed by establishing an extended C-D production function model, while the marginal income of irrigation in each growth period was calculated based on the estimation results of adaptability index model. The results showed that: (1) The growth period with the largest adaptability index in the three provinces of Huang-Huai-Hai was milk ripening stage. The adaptability index in milk ripening stage in Hebei, Henan, and Shandong was 1.063, 1.081, and 1.053, respectively. (2) The maize key growth periods of water sensitivity in the three provinces of Huang-Huai-Hai were tasseling period and milk ripening period, and in most cases, the irrigation period of farmers was consistent with the key growth period of water sensitivity. (3) In Hebei, Henan, and Shandong provinces, the marginal benefits of irrigation were greater than the marginal costs in each growth period. The marginal income of irrigation during tasseling period in the three provinces was relatively large, and tasseling period was the preferred irrigation period of most farmers. To optimize future irrigation water allocation, farmers should prioritize ensuring sufficient water supply during tasseling stage and milk ripening stage in Hebei and Shandong, and during big bell mouth stage and tasseling stage in Henan.
A Hybrid Grey Decision Methodology in Social Sustainable Supplier Selection
Authors: Nasseri Hadi , Chen Han-Kwang , Huo Kuang-Zong , Lo Yen-Fen
Published: July 2023

In the past decade, sustainable supply chain management has received much attention from practitioners and academics due to the heightened emphasis on environmental, economic, and social sustainability by customers, for-profit and non-profit institutions, community organizations, legislation, and government oversight. Evaluating and selecting a suitable supplier is considered a critical choice, crucial in supply chain management. Social sustainability in the supplier selection process is an important factor that has not received sufficient attention from academicians. Social and societal challenges are increasingly impacting supply chains. To tackle this challenge in the agricultural section of nations with emerging economies, this study proposed a new methodology using Grey FUCOM (Full Consistency Method) and Gray PROMTHEE (Preference Ranking Organization Method for Enrichment Evaluation) methods for evaluating the social sustainability of wheat and barley seed production companies. This study assists seed users in identifying the most significant supplier selection criteria and one of the most effective suppliers for ecological sustainability throughout the supply chain while maintaining market competitiveness. The results demonstrated a consistent and dependable rating behavior about the weight coefficients of the criteria. Improving the procedures used to evaluate wheat and barley seed suppliers results in a healthier society. So, the proposed model can efficiently evaluate a critical component of the food supply chain in the early stages.
Coastal Tourism Recovery amid COVID-19: Insights from a Participatory System Dynamics Approach
Authors: Vermeulen-Miltz Estee , Clifford-Holmes Jai Kumar , Lombard Amanda Talita , Snow Bernadette
Published: July 2023

This study aimed to examine the impacts of COVID-19 on coastal tourism in Nelson Mandela Bay (NMB), South Africa, and propose effective management interventions to enable swift recovery. A participatory system dynamics modelling approach was applied through a qualitative causal mapping processes to support a quantitative model. Multiple stakeholder perspectives were incorporated to gain a holistic understanding of the local impacts. The study revealed that the effects of the pandemic on tourism in NMB were dynamic and accompanied by shifts in governance responses and traveller behaviour. Uncertainty surrounding the rate of recovery in different sectors was observed. Through collaboration with local stakeholders, recovery interventions were identified and tested according to short-to-long-term tourism needs in stages of recovery, revival and growth. The findings highlight the importance of cross-sectoral collaboration in facilitating informed decision-making for sustainable tourism recovery. Moreover, it is encouraged that participatory, multi-stakeholder approaches are adopted to explore the impacts of exogenous factors on the tourism sector, such as those arising from public health, climate, and social–political change. This inclusive and dynamic approach can be used to develop management strategies that are responsive and adaptable to complex and evolving circumstances that can impact the tourism industry.
Incidence of, and Risk Factors and Outcomes Associated with, Acute Kidney Injury in COVID-19 at the National Kidney and Transplant Institute, Philippines
Authors: Altillero Melchor , Danguilan Romina , Arakama Mel Hatra
Published: July 2023

(1) Background: Acute kidney injury (AKI) in COVID-19 leads to an increase in patient mortality, especially among chronic kidney disease (CKD) patients. (2) Methods: A retrospective cohort of 519 adults admitted from 1 March 2020 to 1 March 2022 were reviewed for baseline characteristics and their association with renal outcomes. Patients were divided into diagnosed CKD, undiagnosed CKD, and normal eGFR. Chronic dialysis and kidney-transplant patients were excluded. Kaplan–Meier survival analysis at 7, 14, and 30 days from admission was performed. (3) Results: The overall incidence of AKI was 45.66%; the proportions among patients with diagnosed CKD, undiagnosed CKD, and normal eGFR were 76.64%, 38.75%, and 7.59%, respectively (p < 0.0001). Multivariate analysis showed that being male and inotrope use were significant risk factors for AKI, while higher eGFR was protective. AKI was associated with dialysis, invasive ventilation (p < 0.0001), prolonged hospitalization (p = 0.0001), and mortality (p < 0.0001). Renal recovery was 64%, 59%, and 23% in stages 1, 2, and 3 AKI, respectively, until 14 days from discharge (p < 0.0001). Patient survival was lower in cases of AKI: 83.16%, 70.59%, and 47.5% compared to non-AKI figures of 91.27%, 87.82%, and 76.95% at 7, 14, and 30 days respectively(p = 0.0001). (4) Conclusion: There was a higher incidence of AKI with worsening renal function. Intensified preventive measures for AKI are crucial to prevent its devastating consequences.
Concomitant Kawasaki Disease and Rotavirus Infection—More Than Just a Coincidence: A Case Report
Authors: Khoo Mohammad Shukri , Ali Adli
Published: July 2023

The definitive role of viral infections, such as rotavirus, in causing Kawasaki disease (KD) remains uncertain. However, the intriguing observation of concomitant rotavirus infection and KD suggests a potential association. This study aimed to investigate this relationship. We reported a case of concomitant KD and rotavirus infection complicated by hyponatraemia and anasarca. For the systematic review, we used three large databases, namely PubMed, Ovid, and Scopus, to search articles with the terms “Kawasaki” and “rotavirus”. We also used Google Scholar as our secondary source. We included articles that fulfilled the following criteria: (i) articles reporting on children aged 18 and below; (ii) articles reporting on patients infected with rotavirus prior to or concomitant with KD; and (iii) articles written in English only. Three articles were included and analysed in combination with our reported patient. All patients exhibited gastrointestinal symptoms, including diarrhoea and vomiting, in addition to non-resolving fevers, which eventually manifested more signs and symptoms to support the diagnosis of KD. Stool samples from all patients revealed positive rotavirus antigens. Two patients (n = 2) were noted to have hyponatraemia and hypoalbuminaemia. Three (n = 3) manifested coronary artery abnormalities (CAA). Even though the relationship is not fully understood yet, it is known that the combination of these two pathologies can cause catastrophic immune responses and complications.
Virological Non-Suppression among Newly Diagnosed HIV-Positive Individuals on Dolutegravir-Based Antiretroviral Treatment in Eastern Ethiopia: Follow-Up Study
Authors: Gemechu Abdella , Mihret Adane , Atire Fekadu Alemu , Aseffa Abraham , Howe Rawleigh , Seyoum Berhanu , Mulu Andargachew
Published: July 2023

There have been limited studies linking baseline factors, including the viral load (VL) test, with virological non-suppression since the introduction of dolutegravir (DTG)-based regimens as first-line antiretroviral treatment (ART) in Ethiopia. This study aimed to identify baseline factors associated with virological non-suppression between October 2020 and July 2022. A follow-up study was conducted in eastern Ethiopia among newly diagnosed people living with HIV (PLHIV). A questionnaire and a checklist were used to collect the data. Five milliliters of venous blood were obtained at baseline and six months to determine the VL. A VL test was performed using the Abbott RealTime HIV-1 assay. To determine predictors of virological non-suppression, bivariate and multivariate logistic regression analyses were used. There were 235 PLHIV enrolled, 70.6% of whom were female, with a mean age of 33.9 years. Of the 161 retained on ART, virological non-suppression was 8.7% at six months. Baseline predictors of virological non-suppression were age ≤ 30 years, a history of substance use, and a VL greater than 4-log10 copies/mL. In this cohort, virological non-suppression was found to be optimal but still lagged slightly behind the third 95%–target. Thus, targeted interventions, the introduction of baseline VL testing to improve treatment outcomes, and fostering the attainment of UNAIDS 95–95–95 targets are recommended. Furthermore, broader research is recommended to explore the reasons for virological non-suppression in the study area.
An Exact Model of a Gravitational Wave in the Bianchi III Universe Based on Shapovalov II Wave Spacetime and the Quadratic Theory of Gravity
Authors: Osetrin Konstantin , Kirnos Ilya , Osetrin Evgeny
Published: July 2023

Exact models of primordial gravitational waves in the Bianchi type-III universe were constructed on the basis of the quadratic theory of gravity with a scalar field and pure radiation in Shapovalov wave spacetimes of type II (subtype 2). Exact solutions of the field equations and scalar equation were obtained. The characteristics of pure radiation were determined. An explicit form of the scalar field functions included in the Lagrangian of the considered quadratic theory of gravity was found. The trajectories of the propagation of light rays in the considered gravitational wave models were obtained.
Carbon Market Trading Mechanisms Considering Multi-Layer Reactive Power Compensation
Authors: An Haiyun , Jin Xiang , Zhou Qian , Cen Bingcheng , Zhu Tong , Wang Yifei
Published: July 2023

In the context of achieving carbon peaking and carbon neutrality goals, focusing on coordinated efficiency in loss and carbon reduction, and promoting comprehensive green transformation of economic and social development are critical strategies. Line loss is an economic and technical indicator for measuring losses in a power system, and loss reduction is one of the important ways to achieve the carbon peaking and carbon neutrality goals in the power system. However, with the continuous increase in the power grid scale and the increasingly complex operation mode of the system, it is difficult to clearly quantify the carbon reduction benefits brought by system loss reduction. In order to synergize grid loss reduction and system carbon reduction, and generate economic and environmental benefits at the same time, this paper proposes a carbon market trading model that considers multi-layer reactive power compensation strategies. Based on the carbon emission flow model, a node carbon cost pricing is formed, and multi-layer reactive power compensation measures are set in the distribution network nodes to obtain an optimal loss reduction strategy, with the carbon market trading cost minimization as the objective. The effectiveness of the model is verified by simulating and analyzing four scenarios. Compared with the original system that does not consider carbon trading and reactive compensation, the model proposed in this paper can reduce losses by 20% and reduce carbon emissions by 5.7%. This paper is of great value for reactive power loss reduction management in distribution networks of a low-carbon background.
Heartland Virus: An Evolving Story of an Emerging Zoonotic and Vector-Borne Disease
Authors: Mantlo Emily K. , Haley Nicholas J.
Published: July 2023

Heartland virus (HRTV) is an emerging tick-borne bandavirus that is capable of causing severe disease characterized by acute thrombocytopenia and lymphopenia. The virus is endemic to the eastern United States and is carried by the Lone Star tick (Amblyomma americanum). Since its discovery in 2009, at least 60 human infections have been recorded across this area, with an overall 5–10% estimated mortality rate. All infections reported thus far have occurred following a known tick bite or exposure to tick-infested areas, but the possibility of nosocomial transmission has not been ruled out. Despite relatively high rates of seroprevalence among certain wildlife species such as white-tailed deer, the reservoir species for HRTV remains unknown, as the virus has never been isolated from any mammalian wildlife species. Furthermore, how the virus is transmitted to its vector species in nature remains unknown, though laboratory studies have confirmed both horizontal and vertical transmission of HRTV in A. americanum. In addition, the recent 2017 introduction of the Asian longhorned tick (Haemaphysalis longicornis) to the US has raised concerns about possible spillover of HRTV into a new tick species that has been confirmed to be a competent vector for HRTV in the laboratory. Thus, an increased awareness of its clinical presentation is needed, and further research is urgently required to establish the natural transmission cycle and develop new countermeasures for this novel zoonotic pathogen.
Effect of Photobiomodulation Therapy With an 810-nm Diode Laser on Pain Perception Associated With Dental Injections in Children: A Double-Blind Randomized Controlled Clinical Trial
Authors: Seraj Bahman , Bavaghar Anise , Hakimiha Neda , Hosseini Zahra , Kharazifard Mohammad Javad , Ghadimi Sara
Published: July 2023

Introduction: This study investigated the photobiomodulation effect of an 810-nm diode laser in adjunction with topical anesthesia on pain perception during infiltration anesthesia of primary maxillary molars in children. Methods: This double-blind randomized controlled clinical trial was conducted on 64 children (aged 5-9 years) requiring extraction or stainless steel crown for their primary maxillary molars. The patients were randomly allocated into two groups (n=32) of laser and control. In the laser group, the injection site (buccal and palatal mucosa) was irradiated with an 810-nm laser (200 mW, 5.2 J/cm2 ) after 20% benzocaine topical anesthetic application, while the control group received a placebo laser following topical anesthesia. The pain intensity experienced by children during needle insertion into the buccal and palatal mucosa was determined using a visual analog scale (VAS) and modified behavioral pain scale (MBPS). Results: According to the results of the VAS and MBPS, no significant difference was detected in pain scores between the laser and control groups neither in the buccal nor in the palatal mucosa (P>0.05). Conclusions: Photobiomodulation therapy with an 810-nm laser with the current setting adjunct to topical anesthesia did not promote significant additional effects on the pain intensity.
El proceso de formación del estado sudanés:
Authors: Alaminos Herváz María Ángeles
Published: July 2023

En el presente artículo desarrollamos los antecedentes históricos más relevantes para comprender el proceso de formación del Estado sudanés y sus características. El artículo se centra en los conceptos de formación de la nación y del Estado durante el periodo histórico del colonialismo, estudiando en primer lugar los años de ocupación del Gobierno turco-egipcio o Turkiyya; en segundo lugar, los años correspondientes a la Mahdiyya, que pueden ser considerados como años de ‘colonialismo interno’; en tercer y último lugar, abordamos el dominio británico del Condominio anglo-egipcio. El artículo se centra, por tanto, en la comprensión de la historia sudanesa contemporánea de los siglos XIX y XX, cuyo legado, fundamentalmente en términos de esclavitud y colonialismo, resulta fundamental para aprehender el proceso de formación del Estado en Sudán y para comprender los fenómenos acaecidos tras la independencia del país.
Walter Rodney y la lucha por el socialismo en Tanzania
Authors: Sarmiento Lautaro
Published: July 2023

Este artículo se propone una primera aproximación al proceso histórico tanzano en la visión de Walter Rodney, a partir del análisis de algunos documentos inéditos en castellano, que abordan la situación concreta de su desarrollo, en particular, Class Contradiction in Tanzania (1975). Nuestro breve estudio considerará al autor guyanés como parte de un gran movimiento de la diáspora africana, que en aquellos años tenía ya un amplio recorrido y había dado algunas figuras muy destacadas, maestros y compañeros de lucha de Walter Rodney, y que algunos cientistas sociales agrupan bajo el nombre de Marxismo Negro como parte de una Tradición Radical Negra. Se mencionan algunos datos biográficos del autor panafricano y analizan luego algunas características específicas del proceso de independencia en Tanzania. Finalmente, se abordan algunos aspectos del análisis que realizara Walter Rodney sobre el proceso.
Enfermería como una postura política para la implementación de la justicia social
Authors: Gutiérrez Velázquez Ana Sofía , Vázquez Velázquez Natalie , Altamira Camacho Ramiro
Published: July 2023

La justicia social no es excluyente de la enfermería, pues al brindar el cuidado se está resguardando la integridad del paciente al ir más allá de la persona enferma, ya que, a través de ésta, es que se posibilita la instauración de formas de poder más equitativas. Enfermería es partícipe de la experiencia del cuidado de la salud humana; pero para que esto trascienda debe evitar imponer normas, estándares y reglas, siendo más un observador que un elemento activo en la experiencia del autocuidado y respetando a su vez la autonomía propia del sujeto del cuidado. Así, al transformar la perspectiva de su autocuidado, es que la enfermería podrá generar un verdadero impacto a nivel social.
Estrés percibido y consumo de alcohol en adolescentes y jóvenes: una revisión de alcance
Authors: Zamorano-Espero Jesús Antonio , Herrera Paredes José Manuel , Ahumada-Cortez Jesica Guadalupe , Rosas González Enriqueta , García Rodríguez Isaúl
Published: July 2023

Objetivo: Analizar la literatura científica disponible sobre la relación entre el estrés percibido y el consumo de alcohol en adolescentes y jóvenes. Método: Se trata de una revisión de alcance, con base al marco metodológico de Arksey y O’Malley, usando las bases de datos; Biblioteca Virtual en Salud (BVS), Scientific Electronic Library Online (SciELO), ScienceDirect y los motores de búsqueda PubMed y Google académico durante los meses de marzo y abril del 2023. En la estrategia de búsqueda se utilizaron los operadores boléanos y se realizaron diferentes combinaciones. Asimismo, se establecieron criterios de inclusión y exclusión, además, para la selección de los artículos potenciales se utilizó la lista de chequeo de Joanna Briggs Institute. Resultados principales: Se analizaron 11 estudios, todos señalan relación entre las variables de estudio; las mujeres se estresan más que los hombres, y los niveles de estrés en la población general son entre bajo y moderado. Los hombres presentan mayor consumo de alcohol en comparación con las mujeres, y en la población general prevalecen el consumo de alcohol alguna vez en la vida y en el último mes, sin embargo, existen adolescentes y jóvenes con episodios de embriaguez y consumo peligroso de alcohol. Conclusión general: Este estudio permitió el reconocimiento del estrés percibido sobre el consumo de alcohol en los adolescentes y jóvenes. La problemática del estrés percibido y el consumo de alcohol aún se encuentra en progreso; con frecuencia, los estudios se centran en diferentes tipos de estrés, identificando escasos estudios que evalúan el estrés percibido y el consumo de alcohol en la población de interés.
Intervenciones de enfermería en el Lupus Eritematoso Sistémico
Authors: Avendaño Zamora Paola Karely , Álvarez Aguirre Alicia , Gaxiola Flores Miriam
Published: July 2023

El Lupus Eritematoso Sistémico (LES) al ser una enfermedad crónica multisistémica y, además de tener una amplia sintomatología, requiere un trabajo especializado en conjunto del equipo multidisciplinario de salud para el bienestar completo del paciente. El profesional de enfermería es pieza clave en el manejo de los distintos aspectos clínicos del LES, el cual se verá reflejado en brindar una atención holística sea de calidad y calidez, así mismo en el fomento de la máxima autonomía del proceso salud-enfermedad del paciente. Ante las diferentes necesidades del paciente, se han establecido los principales diagnósticos enfermeros de las necesidades del paciente con LES, mediante las intervenciones de enfermería NANDA, NIC y NOC. En este sentido el objetivo del ensayo es describir las intervenciones del profesional de enfermería y del equipo multidisciplinario de salud al paciente con LES.
ORGANIZATIONAL LEARNING CAPABILITY, ORGANIZATIONAL RESILIENCE, ORGANIZATIONAL PERFORMANCE, and MARKET TURBULENCE: A MODERATED MEDIATION MODEL
Authors: YILMAZ KOZCU Gizem , ÖZMEN Ömür
Published: July 2023

Achieving successful performance is an important goal for companies. However, in turbulent market environments, this goal can be quite difficult to achieve. Therefore, today organizations should have the necessary skills, such as learning capability and resilience, to have successful performance indicators, especially in turbulent market conditions. This study suggests that the antecedent effect of organizational learning capability and the moderating effect of organizational resilience should be considered in order to strengthen organizational performance in turbulent markets. Moreover, this study aims to develop a moderated mediation model that measures both the indirect effect of organizational learning capability on organizational performance, and the direct effect of organizational learning capability on organizational performance, with the mediating effect of organizational resilience under the moderation of market turbulence. In this study, a questionnaire study was applied to the high level managers of 109 manufacturing organizations. According to the findings of the research, it is seen that organizational learning capability has a direct positive effect on organizational performance and organizational learning capability has an indirect effect on organizational performance through mediating effect of organizational resilience. In addition, it has been found that market turbulence moderates the direct effect of organizational learning capability on organizational performance. Also, it has been found that the indirect effect of organizational learning capability on organizational performance through organizational resilience is moderated by market turbulence. Considering the data obtained as a result of this study, it is seen that organizational learning capability plays an important role in order to have strong organizational performance in turbulent markets, with the help of the mediating effect of organizational resilience.
Uji Stabilitas Krim Ekstrak Daun Kemangi (Ocimum americanum L.) dan Uji Antibakteri Terhadap Propionibacterium acnes Penyebab Jerawat
Authors: Naya Nabilla Aisyah Lufthya , Mardiyanti Siti
Published: July 2023

Latar belakang: Jerawat merupakan kondisi kelainan kulit yang diakibatkan adanya penyumbatan dan peradangan pada saluran folikel rambut dan pori-pori kulit. Jerawat juga terjadi karena peningkatan infeksi kulit akibat aktivitas bakteri. Propionibacterium acnes merupakan salah satu bakteri penyebab jerawat yang menyebabkan terjadinya inflamasi jaringan. Salah satu bahan alam yang memiliki potensi sebagai antijerawat adalah kemangi (Ocimum americanum L.). Tanaman kemangi mengandung senyawa flavonoid, alkaloid, tanin, saponin, dan steroid yang memiliki sifat antibakteri. Tujuan: Penelitian ini bertujuan untuk memformulasikan sediaan krim dari ekstrak daun kemangi yang memiliki aktivitas antibakteri dengan stabilitas yang baik. Metode: Metode penelitian yang dilakukan menggunakan metode penelitian eksperimental laboratorium. Hasil: Hasil pengujian menunjukkan bahwa kadar ekstrak daun kemangi sebesar 25% mampu menghambat aktivitas antibakteri dengan diameter zona hambat sebesar 5,00 mm. Hasil uji stabilitas sediaan dengan metode cycling test menunjukkan bahwa ketiga formula krim ekstrak daun kemangi stabil selama masa penyimpanan. Kesimpulan: ekstrak daun kemangi memiliki aktivitas antibakteri terhadap bakteri Propionibacterium acnes.
Kata Kunci: Kemangi, Jerawat, Krim, Stabilitas, Propionibacterium acnes.
Analysis of the Connecting, Organizing, Reflecting and Extending (CORE) Model to Improving the Mathematical Reasoning Ability Students
Authors: Atiyah Khairini , Priatna Nanang
Published: July 2023

The low of students' reasoning ability is caused by the teacher's lack of ideas in applying the learning model in the class. This study aims to conduct a literature review on the improvement in students' of senior high school on mathematical reasoning ability after got the connecting, organizing, reflecting and extending (CORE) model and to determine the advantages of the CORE model in mathematics learning in the class. The research used is a qualitative using the systematic literature review (SLR) method with a survey-based descriptive approach. The survey was conducted on secondary data, namely the results of basic research on the CORE model on students' mathematical reasoning abilities. The research technique used data collection, data analysis, and drawing conclusions. The results indicate that the student's responses to the CORE learning model were positive. Based on the research criteria from 8 articles, students’ can improve the mathematical reasoning after got the connecting, organizing, reflecting and extending (CORE) model, compared to students received conventional mathematics learning and the advantages of the CORE model in the class, namely developing students' activeness in learning, training memory, developing students' reasoning power, developing reasoning mathematical skills with the stages of connecting, organizing, reflecting and extending.