bluuebunny/crossref_metadata_2025 huggingface dataset:
Real-Time Indoor Visible Light Positioning (VLP) Using Long Short Term Memory Neural Network (LSTM-NN) with Principal Component Analysis (PCA)
Authors: Shu Yueh-Han , Chang Yun-Han , Lin Yuan-Zeng , Chow Chi-Wai
Published: August 2024

New applications such as augmented reality/virtual reality (AR/VR), Internet-of-Things (IOT), autonomous mobile robot (AMR) services, etc., require high reliability and high accuracy real-time positioning and tracking of persons and devices in indoor areas. Among the different visible-light-positioning (VLP) schemes, such as proximity, time-of-arrival (TOA), time-difference-of-arrival (TDOA), angle-of-arrival (AOA), and received-signal-strength (RSS), the RSS scheme is relatively easy to implement. Among these VLP methods, the RSS method is simple and efficient. As the received optical power has an inverse relationship with the distance between the LED transmitter (Tx) and the photodiode (PD) receiver (Rx), position information can be estimated by studying the received optical power from different Txs. In this work, we propose and experimentally demonstrate a real-time VLP system utilizing long short-term memory neural network (LSTM-NN) with principal component analysis (PCA) to mitigate high positioning error, particularly at the positioning unit cell boundaries. Experimental results show that in a positioning unit cell of 100 × 100 × 250 cm3, the average positioning error is 5.912 cm when using LSTM-NN only. By utilizing the PCA, we can observe that the positioning accuracy can be significantly enhanced to 1.806 cm, particularly at the unit cell boundaries and cell corners, showing a positioning error reduction of 69.45%. In the cumulative distribution function (CDF) measurements, when using only the LSTM-NN model, the positioning error of 95% of the experimental data is >15 cm; while using the LSTM-NN with PCA model, the error is reduced to <5 cm. In addition, we also experimentally demonstrate that the proposed real-time VLP system can also be used to predict the direction and the trajectory of the moving Rx.
Newest Methods and Approaches to Enhance the Performance of Optical Frequency-Domain Reflectometers
Authors: Lobach Ivan A. , Fotiadi Andrei A. , Yatseev Vasily A. , Konstantinov Yuri A. , Barkov Fedor L. , Claude D. , Kambur Dmitry A. , Belokrylov Maxim E. , Turov Artem T. , Korobko Dmitry A.
Published: August 2024

In this review, we summarize the latest advances in the design of optical frequency-domain reflectometers (OFDRs), digital signal processing, and sensors based on special optical fibers. We discuss state-of-the-art approaches to improving metrological characteristics, such as spatial resolution, SNR, dynamic range, and the accuracy of determining back reflection coefficients. We also analyze the latest achievements in the OFDR-based sensors: the accuracy of spatial localization of the impact, the error in detecting temperatures, deformation, and other quantities, and the features of separate measurement of various physical quantities. We also pay attention to the trend of mutual integration of frequency-domain optical reflectometry methods with time-domain optical reflectometry, which provides completely new sensing possibilities. We believe that this review may be useful to engineers and scientists focused on developing a lab setup, complete measurement instrument, or sensing system with specific requirements.
Achieving More with Less: A Lightweight Deep Learning Solution for Advanced Human Activity Recognition (HAR)
Authors: AlMuhaideb Sarab , AlAbdulkarim Lama , AlShahrani Deemah Mohammed , AlDhubaib Hessah , AlSadoun Dalal Emad
Published: August 2024

Human activity recognition (HAR) is a crucial task in various applications, including healthcare, fitness, and the military. Deep learning models have revolutionized HAR, however, their computational complexity, particularly those involving BiLSTMs, poses significant challenges for deployment on resource-constrained devices like smartphones. While BiLSTMs effectively capture long-term dependencies by processing inputs bidirectionally, their high parameter count and computational demands hinder practical applications in real-time HAR. This study investigates the approximation of the computationally intensive BiLSTM component in a HAR model by using a combination of alternative model components and data flipping augmentation. The proposed modifications to an existing hybrid model architecture replace the BiLSTM with standard and residual LSTM, along with convolutional networks, supplemented by data flipping augmentation to replicate the context awareness typically provided by BiLSTM networks. The results demonstrate that the residual LSTM (ResLSTM) model achieves superior performance while maintaining a lower computational complexity compared to the traditional BiLSTM model. Specifically, on the UCI-HAR dataset, the ResLSTM model attains an accuracy of 96.34% with 576,702 parameters, outperforming the BiLSTM model’s accuracy of 95.22% with 849,534 parameters. On the WISDM dataset, the ResLSTM achieves an accuracy of 97.20% with 192,238 parameters, compared to the BiLSTM’s 97.23% accuracy with 283,182 parameters, demonstrating a more efficient architecture with minimal performance trade-off. For the KU-HAR dataset, the ResLSTM model achieves an accuracy of 97.05% with 386,038 parameters, showing comparable performance to the BiLSTM model’s 98.63% accuracy with 569,462 parameters, but with significantly fewer parameters.
A Deep Learning Framework for Real-Time Bird Detection and Its Implications for Reducing Bird Strike Incidents
Authors: Said Hamed Alzadjali Najiba , Balasubaramainan Sundaravadivazhagan , Savarimuthu Charles , Rances Emanuel
Published: August 2024

Bird strikes are a substantial aviation safety issue that can result in serious harm to aircraft components and even passenger deaths. In response to this increased tendency, the implementation of new and more efficient detection and prevention technologies becomes urgent. The paper presents a novel deep learning model which is developed to detect and alleviate bird strike issues in airport conditions boosting aircraft safety. Based on an extensive database of bird images having different species and flight patterns, the research adopts sophisticated image augmentation techniques which generate multiple scenarios of aircraft operation ensuring that the model is robust under different conditions. The methodology evolved around the building of a spatiotemporal convolutional neural network which employs spatial attention structures together with dynamic temporal processing to precisely recognize flying birds. One of the most important features of this research is the architecture of its dual-focus model which consists of two components, the attention-based temporal analysis network and the convolutional neural network with spatial awareness. The model’s architecture can identify specific features nested in a crowded and shifting backdrop, thereby lowering false positives and improving detection accuracy. The mechanisms of attention of this model itself enhance the model’s focus by identifying vital features of bird flight patterns that are crucial. The results are that the proposed model achieves better performance in terms of accuracy and real time responses than the existing bird detection systems. The ablation study demonstrates the indispensable roles of each component, confirming their synergistic effect on improving detection performance. The research substantiates the model’s applicability as a part of airport bird strike surveillance system, providing an alternative to the prevention strategy. This work benefits from the unique deep learning feature application, which leads to a large-scale and reliable tool for dealing with the bird strike problem.
Detection of Oil Spill in SAR Image Using an Improved DeepLabV3+
Authors: Zhang Jiahao , Yang Pengju , Ren Xincheng
Published: August 2024

Oil spill SAR images are characterized by high noise, low contrast, and irregular boundaries, which lead to the problems of overfitting and insufficient capturing of detailed features of the oil spill region in the current method when processing oil spill SAR images. An improved DeepLabV3+ model is proposed to address the above problems. First, the original backbone network Xception is replaced by the lightweight MobileNetV2, which significantly improves the generalization ability of the model while drastically reducing the number of model parameters and effectively addresses the overfitting problem. Further, the spatial and channel Squeeze and Excitation module (scSE) is introduced and the joint loss function of Bce + Dice is adopted to enhance the sensitivity of the model to the detailed parts of the oil spill area, which effectively solves the problem of insufficient capture of the detailed features of the oil spill area. The experimental results show that the mIOU and F1-score of the improved model in an oil spill region in the Gulf of Mexico reach 80.26% and 88.66%, respectively. In an oil spill region in the Persian Gulf, the mIOU and F1-score reach 81.34% and 89.62%, respectively, which are better than the metrics of the control model.
Study on Data Preprocessing for Machine Learning Based on Semiconductor Manufacturing Processes
Authors: Park Ha-Je , Koo Yun-Su , Yang Hee-Yeong , Han Young-Shin , Nam Choon-Sung
Published: August 2024

Various data types generated in the semiconductor manufacturing process can be used to increase product yield and reduce manufacturing costs. On the other hand, the data generated during the process are collected from various sensors, resulting in diverse units and an imbalanced dataset with a bias towards the majority class. This study evaluated analysis and preprocessing methods for predicting good and defective products using machine learning to increase yield and reduce costs in semiconductor manufacturing processes. The SECOM dataset is used to achieve this, and preprocessing steps are performed, such as missing value handling, dimensionality reduction, resampling to address class imbalances, and scaling. Finally, six machine learning models were evaluated and compared using the geometric mean (GM) and other metrics to assess the combinations of preprocessing methods on imbalanced data. Unlike previous studies, this research proposes methods to reduce the number of features used in machine learning to shorten the training and prediction times. Furthermore, this study prevents data leakage during preprocessing by separating the training and test datasets before analysis and preprocessing. The results showed that applying oversampling methods, excluding KM SMOTE, achieves a more balanced class classification. The combination of SVM, ADASYN, and MaxAbs scaling showed the best performance with an accuracy and GM of 85.14% and 72.95%, respectively, outperforming all other combinations.
Advanced Sensing and Control Technologies for Autonomous Robots
Authors: Xie Yuanlong , Wang Shuting , Zheng Shiqi , Hu Zhaozheng
Published: August 2024

The development of advanced sensing and control technologies provides increased intelligence and autonomy for robots and enhances the robots’ agility, maneuverability, and efficiency, which has attracted growing attention in various industries and domains [...]
Papaya Seed Extract and Recovery of Some Main Constituents
Authors: Panusa Alessia , Mammone Francesca Romana , Rotundo Paola , Multari Giuseppina , Palazzino Giovanna , Gallo Francesca Romana
Published: August 2024

Carica papaya Linn. is one of the most common plants in almost all tropical countries. Its fruit is widely used as food or an ointment in traditional medicine. It is one of the few tropical fruits to contain glucotropaeolin (benzyl glucosinolate) detected in great quantity, mainly in the seeds of papaya. When cells in plant tissue are damaged, glucotropaeolin is hydrolysed by the enzyme myrosinase to benzyl isothiocyanate. The anticancer activity of this latter compound has been widely evidenced, but the metabolic profile of the papaya seed extracts is not reported in the literature. The objective of this study is to investigate the seed extracts of C. papaya L. by UHPLC-PDA ESI/MS, with and without the inactivation of myrosinase, and compare the recovery of some main components using two different inactivation procedures. The extracts (methanol/water, 60:40, v/v) were studied in negative and positive ionisation modes. Separations were carried out on an Acquity BEH C18 (50 × 2.1 mm i.d.) 1.7 μm analytical column, and 0.02% formic acid in water and acetonitrile was used as the mobile phase at a flow rate of 0.6 mL min−1. Beyond the amino acids and glucotropaeolin already detected in papaya seeds, 4-hydroxybenzoic acid, which has never been detected in papaya seeds with this technique before, was identified. Moreover, mono-, di- and tri-glycosides of 4-hydroxybenzoic acid were putatively assigned. Glucotropaeolin, 4-hydroxybenzoic and tryptophan were quantified in seeds extracted after myrosinase deactivation. These three components were more effectively recovered using an oven than microwave myrosinase inactivation.
Riemannian SVRG Using Barzilai–Borwein Method as Second-Order Approximation for Federated Learning
Authors: Xiao He , Yan Tao , Wang Kai
Published: August 2024

In this paper, we propose a modified RFedSVRG method by incorporating the Barzilai–Borwein (BB) method to approximate second-order information on the manifold for Federated Learning (FL). Moreover, we use the BB strategy to obtain self-adjustment of step size. We show the convergence of our methods under some assumptions. The numerical experiments on both synthetic and real datasets demonstrate that the proposed methods outperform some used methods in FL in some test problems.
How to Promote Traditional Automobile Companies’ Intelligent-Connected Transformation under the New Dual-Credit Policy? A Tripartite Evolutionary Game Analysis Combined with Funding Time Delay
Authors: Zhao Dan , Li Yekai , Wang Jian , Tang Jinhuan
Published: August 2024

Based on the interactive integration between smart cities and intelligent transportation, this paper discusses how traditional automobile companies achieve intelligent-connected transformation and how to promote the development of intelligent connected vehicles. First, we construct a tripartite evolutionary game model of traditional automobile companies, internet companies, and financial institutions under the dual-credit policy. Second, we define an ideal event and analyze the impacts of cost factors, market factors, and policy factors on system evolution. Finally, funding time delay is combined with the evolutionary game analysis. Results indicate that: (1) Compared with traditional automobile companies and internet companies, financial institutions are more sensitive to the profit-sharing coefficient and cost-sharing coefficient; (2) The probability of an ideal event is more sensitive to credit trading price than new energy vehicle (NEV) credit accounting coefficients and the NEV credit ratio requirement; (3) The government should fully consider the linkage between policy factors and market factors, and it is unreasonable for the government to consider the range of any factor alone; (4) Both the financing amount and regulatory cost have specific threshold ranges within which tripartite collaboration can be facilitated.
Cyanobacterial Cyclic Peptides Can Disrupt Cytoskeleton Organization in Human Astrocytes—A Contribution to the Understanding of the Systemic Toxicity of Cyanotoxins
Authors: Bubik Anja , Frangež Robert , Žužek Monika C. , Gutiérrez-Aguirre Ion , Lah Tamara T. , Sedmak Bojan
Published: August 2024

The systemic toxicity of cyclic peptides produced by cyanobacteria (CCPs) is not yet completely understood. Apart from the most known damages to the liver and kidneys, symptoms of their neurotoxicity have also been reported. Hepatotoxic CCPs, like microcystins, as well as non-hepatotoxic anabaenopeptins and planktopeptins, all exhibit cytotoxic and cytostatic effects on mammalian cells. However, responses of different cell types to CCPs depend on their specific modes of interaction with cell membranes. This study demonstrates that non-hepatotoxic planktopeptin BL1125 and anabaenopeptins B and F, at concentrations up to 10 µM, affect normal and tumor human astrocytes (NHA and U87-GM) in vitro by their almost immediate insertion into the lipid monolayer. Like microcystin-LR (up to 1 µM), they inhibit Ser/Thr phosphatases and reorganize cytoskeletal elements, with modest effects on their gene expression. Based on the observed effects on intermediate filaments and intermediate filament linkage elements, their direct or indirect influence on tubulin cytoskeletons via post-translational modifications, we conclude that the basic mechanism of CCP toxicities is the induction of inter- and intracellular communication failure. The assessed inhibitory activity on Ser/Thr phosphatases is also crucial since the signal transduction cascades are modulated by phosphorylation/dephosphorylation processes.
Gravitational Particle Production and the Hubble Tension
Authors: Erdem Recai
Published: August 2024

The effect of gravitational particle production of scalar particles on the total effective cosmic energy density (in the era after photon decoupling till the present) is considered. The effect is significant for heavy particles. It is found that gravitational particle production results in an effective increase in the directly measured value of the Hubble constant H0, while it does not affect the value of the Hubble constant in the calculation of the number density of baryons at the present time that is used to calculate recombination redshift. This may explain why the Hubble constants determined by local measurements and non-local measurements (such as CMB) are different. This suggests that gravitational particle production may have a non-negligible impact on H0 tension.
A Genetic Study of Spillovers in the Bean Common Mosaic Subgroup of Potyviruses
Authors: Hajizadeh Mohammad , Ben Mansour Karima , Gibbs Adrian J.
Published: August 2024

Nine viruses of the bean common mosaic virus subgroup of potyviruses are major international crop pathogens, but their phylogenetically closest relatives from non-crop plants have mostly been found only in SE Asia and Oceania, which is thus likely to be their “centre of emergence”. We have compared over 700 of the complete genomic ORFs of the crop pandemic and the non-crop viruses in various ways. Only one-third of crop virus genomes are non-recombinant, but more than half the non-crop virus genomes are. Four of the viruses were from crops domesticated in the Old World (Africa to SE Asia), and the other five were from New World crops. There was a temporal signal in only three of the crop virus datasets, but it confirmed that the most recent common ancestors of all the crop viruses were before inter-continental marine trade started after 1492 CE, whereas all the crown clusters of the phylogenies are from after that date. The non-crop virus datasets are genetically more diverse than those of the crop viruses, and Tajima’s D analyses showed that their populations were contracting, and only one of the crop viruses had a significantly expanding population. dN/dS analyses showed that most of the genes and codons in all the viruses were under significant negative selection, and the few that were under significant positive selection were mostly in the PIPO-encoding region of the P3 protein, or the PIPO protein itself. Interestingly, more positively selected codons were found in non-crop than in crop viruses, and, as the hosts of the former were taxonomically more diverse than the latter, this may indicate that the positively selected codons are involved in host range determination; AlphaFold3 modelling was used to investigate this possibility.
Diabetic Retinopathy Features Segmentation without Coding Experience with Computer Vision Models YOLOv8 and YOLOv9
Authors: Rizzieri Nicola , Dall’Asta Luca , Ozoliņš Maris
Published: August 2024

Computer vision is a powerful tool in medical image analysis, supporting the early detection and classification of eye diseases. Diabetic retinopathy (DR), a severe eye disease secondary to diabetes, accompanies several early signs of eye-threatening conditions, such as microaneurysms (MAs), hemorrhages (HEMOs), and exudates (EXs), which have been widely studied and targeted as objects to be detected by computer vision models. In this work, we tested the performances of the state-of-the-art YOLOv8 and YOLOv9 architectures on DR fundus features segmentation without coding experience or a programming background. We took one hundred DR images from the public MESSIDOR database, manually labelled and prepared them for pixel segmentation, and tested the detection abilities of different model variants. We increased the diversity of the training sample by data augmentation, including tiling, flipping, and rotating the fundus images. The proposed approaches reached an acceptable mean average precision (mAP) in detecting DR lesions such as MA, HEMO, and EX, as well as a hallmark of the posterior pole of the eye, such as the optic disc. We compared our results with related works in the literature involving different neural networks. Our results are promising, but far from being ready for implementation into clinical practice. Accurate lesion detection is mandatory to ensure early and correct diagnoses. Future works will investigate lesion detection further, especially MA segmentation, with improved extraction techniques, image pre-processing, and standardized datasets.
Study on the Characteristics of Flow over a Seawall and Its Impact on Pedestrians under Solitary Wave Action
Authors: Hou Yadong , Zhao Xizeng , Tao Gang , Huang Zhaoyuan , Xu Nanhui , Leng Zequan
Published: August 2024

In response to the incident of tourists falling into the sea due to waves on the seawall berm at Macau Road, Qingdao, during the passage of Typhoon “Songda” in 2022, a combination of numerical simulations and physical model experiments was performed to investigate the mechanics of the event, with emphasis on the wave flow characteristics and the flow evolution process on the seawall berm as well as the force exerted on a human body-equivalent cylinder model. The study found that the thickness of the return flow was significantly greater than that of the overtopping flow on the landward part of the berm. The recoil forces applied to the model on the berm were larger than the impact forces, and the ratio tended towards 1 as the wave height increased. In addition, the stability of pedestrians on the seawall berm was analyzed. The instability conditions for pedestrians in cross-wave flows differed slightly from those in floods.
Experimental Study on the Performance and Internal Flow Characteristics of Liquid–Gas Jet Pump with Square Nozzle
Authors: Cao Zhengqing , Yang Xuelong , Xu Xiao , Zhu Chenbing , Zou Daohang , Zhou Qiwei , Fang Kaiyue , Zhang Xinchen , Mou Jiegang
Published: August 2024

In order to ascertain the impact of working water flow rate and inlet pressure on the performance of the liquid–gas jet pump with square nozzle, the pumping volume ratio and efficiency of the liquid–gas jet pump with square nozzle were experimentally investigated at different inlet pressures and working water flow rates. Furthermore, the internal flow characteristics of the liquid–gas jet pump with square nozzle were explored through the utilization of visualization technology in the self-designed square-nozzle liquid–gas jet pump experimental setup. The findings indicate that the pumping ratio of the liquid–gas jet pump increases in conjunction with an elevation in the inlet pressure. Liquid–gas jet pump efficiency is higher at lower inlet pressures, up to 42.48%, and drops rapidly as inlet pressure increases. The pumping volume ratio of the liquid–gas jet pump increases significantly as the working water flow rate increases, and the working water flow rate exerts a minimal effect on the working efficiency of the liquid–gas jet pump. In the context of extreme vacuum conditions, a considerable number of droplets undergo substantial reflux in the posterior section of the throat, with a notable absence of bubbles in the diffusion tube. The size and number of bubbles diminish gradually along the axial direction. The objective of this paper is to provide a reference point for determining the optimal operational parameters for a square-nozzle liquid–gas jet pump in a practical context.
Modeling and Evaluating the Socio-Economic–Flood Safety–Ecological System of Landong Floodplain Using System Dynamics and the Weighted Coupling Coordination Degree Model
Authors: Li Ming , Niu Chaojie , Li Xiang , Quan Liyu , Li Wenzhong , Liu Chengshuai , Shi Chen , Soomro Shan-e-hyder , Song Qike , Hu Caihong
Published: August 2024

The lower course of the Yellow River is a “hanging river” across the hinterland of China, and the safety of its flood control measures/systems is closely tied to the stability of the nation. Ensuring high-quality, sustainable development of the lower Yellow River floodplain while maintaining flood safety is crucial for the entire Yellow River Basin. Previous studies have primarily focused on the overall development of the Yellow River Basin or the economic–ecological coupling development of cities along the river, often neglecting the flood safety development of the floodplain. This study optimizes the socio-economic–flood-safety–ecological (SFE) system of the typical downstream Landong floodplain within the Yellow River Basin. The system dynamics model (SDM) can simulate the dynamic behavior of SFE systems by constructing mathematical models that incorporate feedback loops and time delays. The primary components include causal loop modules and stock-flow modules. Then, a coupling coordination degree model for the Landong floodplain is established using a comprehensive subjective and objective weighting method, assessing the SFE system’s coordination under five scenarios: inertial development, economic development, environmental protection, flood safety, and sustainable development. The results of historical and validity tests indicate that the SDM can effectively simulate the coupling coordination degree of the SFE system. The study results suggest that the coupling coordination degree increases the most under the sustainable development scenario, indicating that the development of the Landong floodplain should not only focus on socio-economic growth, but should also consider flood safety and ecological concerns. In addition, comprehensive regulation from socio-economic, flood safety, and ecological environment indicators are necessary to achieve high-quality, coordinated development. This study has significant implications for policy formulation and management to achieve high-quality and sustainable development in the downstream floodplain of the Yellow River.
Manganese Oxide Enhanced Gravity-Driven Membrane (GDM) Filtration in Treating Iron- and Manganese-Containing Surface Water
Authors: Luo Jiaoying , Zhang Yaru , Chang Hailin , Lin Chenghai , Hu Yating , Wang Haochun , Wang Yanrui , Tang Xiaobin
Published: August 2024

Manganese pollution in surface water has been a new concern in decentralized drinking water treatment. The dissolved manganese cannot be effectively removed by the traditional ultrafiltration (UF) process, but will cause severe membrane fouling. To address such issues, an innovative gravity-driven membrane (GDM) coupled with a dynamic manganese oxide (MnOx) film on the membrane surface was proposed, with hopes of enhancing manganese removal and alleviating membrane fouling. The results demonstrated that pre-coating a dynamic MnOx film on the membrane surface of a GDM system would effectively reduce start-up time for removing iron and manganese pollutants, without affecting the flux stabilization of the GDM. Effective manganese removal (~80%) primarily depended on the adsorption and auto-catalytic oxidation facilitated by the pre-coating of MnOx. Furthermore, the MnOx film notably enhanced organic pollutant removal efficiency. Additionally, the MnOx coated on the membrane surface acted as a skeleton, promoting the gradual formation of a biocake layer with a heterogeneous and porous structure, which benefited the flux stabilization of the GDM. In particular, the fine and homogeneous MnOx-M derived from the backflushing water of the mature manganese sand filter exhibited precise and uniform coating on the membrane surface, effectively mitigating the irreversible pore plugging caused by organic matter penetration and thereby enhancing stable flux by ~16.3% compared to the control. This study offered a novel strategy to enhance the purification efficiency of GDM system treating manganese pollution and was expected to contribute to the technological advancement of decentralized water supply scenarios.
Incidencia de la biblioterapia en el estado emocional del adulto mayor
Authors: Arteaga Zambrano Jonathan Javier , Sánchez Rivera María Teresa , Navia Bravo Carla María , Cobacango Villavicencio Jenny Giselle
Published: August 2024

La Biblioterapia ha evolucionado como un método de apoyo para individuos que enfrentan trastornos físicos, emocionales o familiares. Un ejemplo destacado son los pacientes hospitalizados, donde la Biblioterapia se ha utilizado como una forma de rehabilitación desde la Segunda Guerra Mundial, especialmente con soldados con secuelas de guerra. En el caso de adultos mayores, esta práctica ha demostrado beneficios a lo largo del tiempo, requiriendo constancia y una evaluación precisa para un desarrollo efectivo. Proporciona un espacio para el crecimiento emocional y la generación de nuevas ideas. El objetivo general del artículo es establecer talleres de Biblioterapia para mejorar el estado anímico de los adultos mayores en el programa de la Fundación Social Cristo Rey. El estudio se basa en un enfoque descriptivo con un enfoque mixto. Para lograr esto, se empleó el análisis de información en la revisión bibliográfica y el método analítico-sintético. Se utilizaron encuestas con los 30 adultos mayores y entrevistas con especialistas a través de cuestionarios, seguido por el diseño de acciones. La implementación del programa de biblioterapia en la Fundación Social Cristo Rey mejora significativamente el estado emocional de los adultos mayores, reduciendo la ansiedad y depresión, aumentando el bienestar y la satisfacción personal, y fomentando la socialización y las estrategias de afrontamiento.
Chymase Activity in Plasma and Urine Extracellular Vesicles in Primary Hypertension
Authors: Ahmad Sarfaraz , Deep Gagan , Punzi Henry A. , Su Yixin , Singh Sangeeta , Kumar Ashish , Mishra Shalini , Saha Amit K. , Wright Kendra N. , VonCannon Jessica L. , Dell’Italia Louis J. , Meredith Wayne J. , Ferrario Carlos M.
Published: August 2024

Key Points

Blood and urine extracellular vesicles isolated from hypertensive patients possess high chymase enzymatic activity.

Chymase activity was significantly higher in small extracellular vesicles obtained from hypertensive patients with suboptimal BP control.

Background

Circulating extracellular vesicles (EVs) carry protected cargoes of nucleic acids, proteins, and metabolites. In this study, we identified and validated the surface proteins and enzymatic activity of chymase, angiotensin converting enzymes 1 (ACE) and 2 (ACE2), and neprilysin (NEP) in EVs isolated from the blood and urine of primary hypertensive patients.

Methods

Peripheral venous blood and spot urine from 34 hypertensive patients were processed to isolate plasma and urinary EVs. Immunogold labeling and transmission electron microscopy validated the presence of the exosomal marker protein CD63 on the surface of plasma and urinary EVs. Flow cytometry characterized plasma and urinary EVs for CD63, CD9, and CD81 surface markers. In addition, exosomal CD63, TSG101, and Alix were analyzed in urine by western blotting. Urinary EVs did not express the endoplasmic reticulum protein calnexin and Golgi protein GM130. Chymase, ACE, ACE2, and NEP activities on 125I substrates—angiotensin-(1–12) (Ang-[1–12]) and angiotensin II—(1 nmol/L each) were quantified by HPLC. Data were analyzed based on whether the patient's BP was controlled (group 1: <140/80 mm Hg) or noncontrolled (group 2: ≥140/80 mm Hg).

Results

Chymase activity on Ang-(1–12) was significantly higher in plasma and urinary EVs than in ACE, ACE2, and NEP. In addition, chymase activity in urine EVs was more than three-fold higher than in plasma EVs. Chymase activity increased in plasma and urine EVs retrieved from group 2 patients. No comparable differences were found in the enzymatic activities of ACE, ACE2, and NEP urinary EVs between group 1 and group 2.

Conclusions

These studies reveal a differential enzymatic activity of renin angiotensin system enzymes in plasma and urine EVs isolated from hypertensive patients. Demonstrating a comparatively high chymase enzymatic activity in EVs expands a previously documented finding of increased plasma Ang-(1–12) in hypertensive patients.
PENGEMBANGAN STRUCTURAL EQUATION MODELLING PADA ANALISIS FAKTOR KONTRIBUSI MASYARAKAT SURABAYA DALAM PENGELOLAAN SAMPAH POLYETHYLENE TEREPHTHALATE
Authors: Yulianti Elisabeth , Nuha Hilyatun
Published: August 2024

Kota Surabaya merupakan kota padat penduduk kedua setelah Jakarta. Kepadatan penduduk tersebut dapat mempengaruhi tingkat kebersihan lingkungan kota Surabaya. Salah satu faktor dikarenakan adanya kebiasaan masyarakat sebagai konsumen yang selalu menghasilkan sampah pada tiap aktivitas yang dilakukannya. Sampah botol plastik PET merupakan salah satu sampah dengan frekuensi terbesar yang dihasilkan oleh masyarakat. Hal ini dapat menjadi masalah bagi seluruh elemen baik masyarakat maupun pemerintah kota apabila tidak adanya kesadaran dan kontribusi penuh dari masyarakat untuk membantu mengelola sampah PET. Menanggapi permasalahan tersebut oleh karena itu pada penelitian ini membahas mengenai faktor – faktor yang mempengaruhi kontribusi masyarakat kota Surabaya dalam pengelolaan sampah botol plastik PET pada jaringan reverse logistic hingga botol plastik tersebut diolah dan dikembalikan kepada perusahaan atau peremanufaktur. Informasi mengenai faktor – faktor yang mempengaruhi kontribusi masyarakat dapat diperoleh dari sebaran kuesioner dan tahap wawancara serta didukung dengan data – data yang diperoleh dari pemerintah kota baik dari Dinas Lingkungan Hidup, Bank Sampah Induk, dan Bank Sampah Unit. Hasil dari jawaban responden terhadap kuesioner yang telah disebar, selanjutnya akan diolah dan diuji keakuratan dengan menggunakan uji validitas dan uji reliabilitas yang kemudian akan diolah kembali menggunakan metode Structural Equation Modelling (SEM) untuk mengetahui hubungan antara variabel dan indikatornya. Metode SEM dapat dilakukan dengan berbagai macam software salah satunya software SMARTPLS.
Kata Kunci : Botol plastik PET; Sampah; Metode SEM; Reverse Logistic
PERANCANGAN SISTEM INFORMASI PRODUKSI CV SEMBADA ERA PERKASA DENGAN MENGGUNAKAN METODE THROWAWAY PROTOTYPING
Authors: AFRIANDI  , Hunusalela Zeny Fatimah , Alifah Siti
Published: August 2024

CV Sembada Era Perkasa merupakan perusahaan manufaktur yang bergerak dibidang usaha pembuatan komponen otomotif. Perusahaan ini menghasilkan berbagai macam produk seperti clamp, bar, hook side stand, bar komp side stand, wire, guard, hook foot k45 dan sparepart lainnya. Permasalahan Yang Terjadi pada CV Sembada Era Perkasa adalah Mengenai  ketidaktersediaan sistem informasi pada bagian produksi dan permintaan persediaan masih dicatat pada form kertas kemudian baru disalin kembali ke buku laporan persediaan oleh bagian gudang, sehingga terkadang mengalami kesulitan dalam perhitungan barang dan untuk mendapatkan informasi yang diberikan tidak sesuai dengan ketersediaan barang yang ada. Tujuan penelitian ini untuk mengetahui status barang masuk dan barang keluar serta memperoleh sistem informasi manajemen yang baik pada CV Sembada Era Perkasa. Pada penelitian ini metode yang digunakan adalah throwaway prototyping. Pengolahan data barang masuk dan barang keluar yaitu pertama merancang usecase diagram, aktivity diagram dan class diagram menggunakan power designer setelah selesai. Selanjutnya merancang tampilan halaman pada prototipe dengan menggunakan software Justinmind setelah tampilan halaman selesai selanjutnya membuat program prototipe yang berbasis web dengan bahasa pemrograman yaitu html dengan menggunakan software visual studio code. Hasil yang diperoleh pada penelitian ini yaitu sistem informasi manajemen dalam bentuk prototype dan aplikasi yang didalamnya terdiri dari Login, data customer, data barang, data masuk barang, data keluar barang, dan data status laporan transaksi. Kesimpulan penggunaan metode throwaway prototyping untuk mempermudah dalam mendata stok barang, dan membuat laporan barang keluar dan barang masuk pada bagian produksi. Harapannya perusahaan dapat meningkatkan efisiensi barang, mengurangi biaya, dan kinerja produksi.
Penerapan Sistem Antrian Multi Channel -Single Phase Menggunakan Model Simulasi Untuk Optimalisasi Pelayanan Pada UMKM El Laundry
Authors: Siska Siska Pasaribu , Zaharuddin  , Utama Denny Walady
Published: August 2024

ABSTRACT
 
The queue process at UMKM El Laundry is a process related to the arrival of consumers who bring dirty clothes and then wait in line, then the dirty clothes are finished processing and the consumers leave the laundry. The current conditions at UMKM El Laundry are with an average number of arrivals of 20 people/day with the number of dirty clothes 20 kg/person. This has resulted in a buildup in serving consumers, where currently the service time limit applied by UMKM themselves is 8 hours/day for regular services. Data was obtained through observation for 1 month, namely in December 2022. The queuing method used is Multi-channel - single phase using Anylogic simulation. The results of calculations using the Multi-channel - single phase method show that queues occur due to lack of facilities in the process. After being analyzed using Anylogic simulation, it was proven that the queue could be minimized by adding washing machines, which were originally 3 units, to 4 units, and dryer machines, which were originally 3 units, to 4 units. So that the Queue Length which was originally 0.04 minutes became 0.94 minutes, Queue Time per agent from previously 0.50 minutes to 6.14 minutes, and service utilization which was originally 0.18 minutes to 0.75 minutes or 75% more fast in the service process, so that queues can be minimized.
 
Keywords: MSME, Single Phase Multi Channel, Aylogic Simulation
“Kami Butuh Dukungan Melampaui Kebijakan”: Tantangan Pelayanan Terpadu Kekerasan Seksual di Provinsi Kalimantan Barat dan Sulawesi Tengah
Authors: Pratiwi Andi Misbahul , Fajriyah Iklilah , Anggiasih Lia , Drias Junito , Siantoro Ayu
Published: August 2024

The Law on Sexual Violence Crimes (Indonesian: Undang-Undang Tindak Pidana Kekerasan Seksual, abbreviated as UU TPKS) brings hope amid the continuously rising rates of sexual violence in Indonesia. The UU TPKS guarantees legal certainty for victims, victims’ families, and witnesses, ensuring they receive care facilities, protection, and recovery. The UU TPKS mandates that both the central and local governments provide integrated services for handling, protecting, and recovering from sexual violence cases. These integrated services are crucial for eradicating sexual violence and preventing its recurrence in the future. This article is part of research conducted by Wahana Visi Indonesia and the Gender Research Center of the University of Indonesia in 2023. The research aimed to map the readiness of local governments in West Kalimantan and Central Sulawesi Provinces to implement the UU TPKS. The study was conducted in seven regencies/cities: Kubu Raya Regency, Bengkayang Regency, Landak Regency, Palu City, Donggala Regency, Parimo Regency, and Sigi Regency. The research found that local policies support the implementation of the UU TPKS. However, there are still various challenges in realising integrated services for victims. These challenges include a lack of commitment to ensuring the availability of budgets, human resources, and effective working mechanisms in each institution. Ultimately, these challenges hinder sexual violence victims from accessing the justice envisioned in the UU TPKS
Hubungan Antara Tingkat Kecerdasan, Motivasi Berprestasi dan Kebiasaan Belajar Matematika Siswa dengan Prestasi Belajar Matematika Siswa
Authors: Mulyani
Published: August 2024

Penelitian ini bertujuan untuk menguji hubungan antara tiga variabel yaitu tingkat kecerdasan (X1), motivasi berprestasi (X2), kebiasaan belajar matematika (X3) dengan prestasi belajar matematika siswa (Y). Penelitian ini merupakan penelitian yang menggunakan metode Ex Post Fakto dan jenis penelitian ini adalah penelitian deskriptif korelatif. Penelitian ini dilakukan di kelas XI IPA A SMA Negeri 6 kota Bengkulu. Instrumen yang digunakan dalam penelitian adalah dokumentasi dan angket. Dari hasil uji hipotesis pertama disimpulkan bahwa terdapat hubungan yang signifikan antara tingkat kecerdasan dengan prestasi belajar matematika siswa semester 1 kelas XI IPA A SMAN 6 kota Bengkulu, dengan besarnya sumbangan 25.401%. Dari hasil uji hipotesis kedua disimpulkan bahwa terdapat hubungan yang signifikan antara motivasi berprestasi dengan prestasi belajar matematika siswa semester 1 kelas XI IPA A SMAN 6 kota Bengkulu, dengan besarnya sumbangan 78.4073%. Dari hasil uji hipotesis ketiga disimpulkan bahwa: terdapat hubungan yang signifikan antara kebiasaan belajar matematika dengan prestasi belajar matematika siswa semester 1 kelas XI IPA A SMAN 6 kota Bengkulu, dengan besarnya sumbangan 64.464%. Dari hasil uji hipotesis keempat disimpulkan bahwa terdapat hubungan yang signifikan antara tingkat kecerdasan, motivasi berprestasi, dan kebiasaan belajar matematika dengan prestasi belajar matematika siswa semester 1 kelas XI IPA A SMAN 6 kota Bengkulu. Makin tinggi tingkat kecerdasan (X1), motivasi berprestasi (X2), dan makin baik kebiasaan belajar matematika siswa (X3) maka makin tinggi pula prestasi belajar matematika yang dicapai siswa tersebut (Y). Besarnya kontribusi tingkat kecerdasan, motivasi berprestasi, dan kebiasaan belajar matematika secara bersama-sama adalah 81.2794% terhadap prestasi belajar matematika.
First experience of His bundle pacing in pediatric patients
Authors: Dzhaffarova O. Yu. , Svintsova L. I. , Krivolapov S. N. , Perevoznikova Yu. E. , Smorgon A. V. , Kartofeleva E. O.
Published: August 2024

Aim. To present our clinic’s experience of His bundle pacing in pediatric patients.

Methods. Six patients underwent endocardial pacemaker implantation with a ventricular lead in the Hisian position. A standard diagnostic examination was carried out, including routine general clinical and laboratory examinations, an ECG with an assessment of QRS width, Holter monitoring, echocardiography (Echo) with an assessment of the sizes, volumes of the heart chambers, left ventricle (LV) contractile function and Speckle-tracking Echo with an assessment of LV global longitudinal strain (LV GLS). To assess dynamic control ECG, Holter monitoring, Echo and Speckle-tracking Echo were performed.

Results. Selective His bundle pacing (isolated capture of the His-Purkinje system) was achieved in only one patient; non-selective His bundle pacing was performed in the remaining 5 patients. With His bundle selective and non-selective pacing, a significant normalization of the LV electromechanical dyssynchrony index (GLS) was noted from -17 [-15; -19] to -21.4 [-21;-22] (p = 0.013). The most significant normalization of LV longitudinal strain was recorded in a patient with previous epicardial stimulation of the right ventricle (RV).

Conclusion. Physiological His bundle pacing favours ventricular synchronization, providing the most physiological myocardium pacing, both during primary pacemaker implantation and in patients with previous long-term RV pacing, accompanied by ventricular dyssynchrony.
Asymptomatic coronary-atrial fistula formation after zero fluoro catheter ablation for incessant right atrial tachycardia using ABLATION INDEX module: case report
Authors: Kropotkin E. B. , Ivanitskiy E. A. , Tsaregorodtsev A. P. , Vyrva A. A. , Sakovich V. A.
Published: August 2024

We present a case of asymptomatic coronary-atrial fistula formation after zero fluoro catheter ablation for incessant right atrial tachycardia using ABLATION INDEX module.
Impact of allogeneic fetal tissue cryoextract on kidney structure and functions when simulating the muscle injuries in rats
Authors: Repin M.V. , Marchenko L.M. , Govorukha T.P. , Strona V.I. , Yurchenko T.M.
Published: August 2024

Rhabdomyolysis is one of the most common causes of acute kidney injury (AKI). Pharmacological correction of AKI has still remained poorly developed, that requires finding the new approaches to its therapy and prevention, particularly, using the biologically active compounds of fetoplacental origin. Here, we have studied the nature of structural changes in renal tissue and biochemical parameters of blood and urine in rats in the model of traumatic rhabdomyolysis, as well as after administering the allogeneic CryoExtract of Fetal Tissues (CEFT) as a preventive measure. Contusion was simulated by blunt, non-penetrating impact of a heavy steel ball on the muscles of both thighs of rats under injectable anesthesia. CEFT was administered intramuscularly in a dose of 0.5 ml thrice during the week before the injury. In 1, 3, 7, 14 days after injury, animals were sacrificed and the material was collected. Simulated contusion resulted in a 1.5-fold increase in concentration of creatine kinase and was accompanied by AKI development, manifested in proteinuria, a 1.5-fold rise in creatinine level, decreased urinary creatinine and diuresis, and a 4.5-fold reduction of glomerular filtration rate. Structural changes in renal tissues were represented by tubular nephropathy with necrosis of epitheliocytes, the presence of myoglobin cylinders in the lumen of tubules of cortex and medulla, venous hyperemia, interstitial edema, and lymphocyte-macrophage infiltration. After 7 and 14 days, the parameters of excretory function of the kidneys improved, without reaching the level of intact rats. Preventive administration of CEFT promoted the weakening of AKI development within the first 3 days and restoration of excretory function in 7 days after the injury. The concentration of creatine kinase increased 1.16 times after 1 day, and did not differ from the norm later. After 7 days, the percentage of altered cells of renal tubules decreased, and no cylinders in the lumens were detected. The structure of renal tissue was normalized after 14 days. The dynamics of parameters of morphofunctional state of the kidneys revealed a nephroprotective effect of CEFT.

Keywords: rhabdomyolysis, acute kidney injury, kidney tissue structure.